万字深研：AI x Crypto入门指南(下）

阿花

02-25

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原文作者：Mohamed Baioumy & Alex Cheema

原文编译：BeWater

因报告全文篇幅较长，我们分拆成了两个部分发布。在上篇，作者介绍了 AI x Crypto 的核心框架、具体的实例、建设者的机遇等。本篇为下篇，主要讲述了机器学习的工作模式与面临的挑战。如果想要查看翻译全文，请点击此链接。

A. 机器学习如何工作？
在深入探讨人工智能（AI）与加密货币的交集之前，首先要单独介绍人工智能领域的一些概念。由于本报告是为加密货币领域的读者撰写的，读者并非都对人工智能和机器学习概念有深刻理解。而理解相关概念至关重要，这样读者才能评估人工智能和加密货币交叉领域的哪些想法具有实质意义，并准确评估项目的技术风险。本节重点介绍人工智能的概念；此外，本节也重点介绍了人工智能与加密货币之间的关系。
本节所涉主题概述：
机器学习（machine learing, ML）是人工智能的一个分支，在这个分支中，无需明确编程，机器就能通过数据做出决策。
ML 流程分为三个步骤：数据、训练和推理。
训练模型的计算成本非常高，而推理则相对便宜。
学习主要有三种类型：监督学习、无监督学习和强化学习。
监督的学习是指从范例（由教师提供）中学习。教师可以向模型展示狗的图片，并告诉它这就是狗。然后，模型就能学会将狗与其他动物区分开来。
然而，许多流行的模型，如 LLMs（如 GPT-4 和 LLaMa），都是通过无监督学习来训练的。在这种学习模式中，教师不会提供任何指导或示例。相反，模型通过学习来发现数据中的模式。
强化学习（试错学习）主要用于连续决策任务，如机器人控制和游戏（如国际象棋或围棋）。
人工智能和机器学习
1956 年，一些当时最聪明的人聚集在一起参加了一个研讨会。他们的目标是提出智力的一般原则。他们指出：
"学习的每一个方面或智能的任何其他特征都可以被如此精确地描述出来，以至于可以制造一台机器来模拟它。"
在人工智能发展的早期，研究人员充满了乐观主义。从某种意义上说，他们的目标是人工通用智能（AGI），雄心勃勃。我们现在知道，这些研究人员并没有设法创造出具有通用智能的人工智能代理。70 年代和 80 年代的人工智能研究人员也是如此。在那个时期，人工智能研究人员试图开发 "基于知识的系统"。
基于知识的系统的关键理念是，我们可以为机器编写非常精确的规则。从本质上讲，我们从专家那里提取非常具体和精确的领域知识，并以规则的形式写下来供机器使用。然后，机器就可以利用这些规则进行推理并做出正确的决定。例如，我们可以尝试从马格努斯·卡尔森（Magnus Carlson）那里提炼出下棋的所有原则，然后构建一个人工智能来下棋。
然而，要做到这一点非常困难，即使有可能，也需要大量的人工来创建这些规则。试想一下，如何将识别狗的规则写入机器？机器如何才能从拥有像素到知道狗是什么？
人工智能的最新进展来自于一个被称为 "机器学习 "的分支。在这种模式下，我们不是为机器编写精确的规则，而是使用数据，让机器从中学习。使用机器学习的现代人工智能工具随处可见，例如 GPT-4、iPhone 上的 FaceID、游戏机器人、Gmail 垃圾邮件过滤器、医疗诊断模型、自动驾驶汽车......等等。
机器学习管道（pipeline）
机器学习管道可分为三个主要步骤。有了数据，我们要训练模型，然后有了模型，我们就可以使用它。使用模型称为推理。因此，这三个步骤分别是数据、训练和推理。
高度概括来说，数据步骤包括查找相关数据并对其进行预处理。例如，如果我们要建立一个对狗进行分类的模型，我们需要找到狗和其他动物的图片，这样模型才能知道什么是狗，什么不是狗。然后，我们需要对数据进行处理，并确保数据格式正确，以便模型能够正确学习。例如，我们可能要求图片大小一致。
第二步是训练，我们利用数据来学习模型应该是什么样的。模型内部的方程是什么？神经网络的权重是多少？参数是什么？正在进行的计算是什么？如果模型不错，我们就可以测试它的性能，然后就可以使用它了。这就到了第三步。
第三步称为推理，即我们只是使用神经网络。例如，给神经网络一个输入，然后问一个问题：可以通过推理产生输出吗？
图 28 ：机器学习管道的三个主要步骤是数据、训练和推理
数据
现在，让我们深入了解一下每个步骤。第一：数据。广义上讲，这意味着我们必须收集数据并对其进行预处理。
让我们来看一个例子。如果我们想建立一个供皮肤科医生（专门治疗皮肤病的医生）使用的模型。我们首先要收集许多人脸的数据。然后，我们请专业皮肤科医生来评估是否存在皮肤病。现在可能会出现许多挑战。首先，如果我们拥有的所有数据都包括人脸，那么模型将很难识别身体其他部位的任何皮肤状况。其次，数据可能存在偏差。例如，大部分数据可能是一种肤色或色调的图片。第三，皮肤科医生可能会犯错，这意味着我们会得到错误的数据。第四，我们获得的数据可能会侵犯隐私。
我们将在第 2 章中介绍更深层次的数据挑战。不过，这可以让你了解到，收集好的数据并对其进行预处理是相当具有挑战性的。
图 29 ：两个流行数据集的示意图。MNIST 包含手写数字，而 ImageNet 包含数百万张不同类别的注释图像
在机器学习研究中，有许多著名的数据集。常用的有；
MNIST 数据集
说明：包含 70, 000 个灰度图像格式的手写数字（0-9）
使用案例：主要用于计算机视觉中的手写数字识别技术。它是一个对初学者友好的数据集，通常用于教育领域。
ImageNet
说明：一个包含 1, 400 多万张图片的大型数据库，标注有 20, 000 多个类别的标签。
使用案例：用于对象检测和图像分类算法的训练和基准测试。一年一度的 ImageNet 大规模视觉识别挑战赛（ILSVRC）一直是推动计算机视觉和深度学习技术发展的重要活动。
IMDb 评论：
说明：包含来自 IMDb 的 50, 000 篇电影评论，分为两组：训练和测试。每组包含相同数量的正面和负面评论。
使用案例：广泛应用于自然语言处理（NLP）中的情感分析任务。它有助于开发能理解文本中表达的情感（正面/负面）并对其进行分类的模型。
获取大型、高质量的数据集对于训练良好的模型极为重要。然而，这可能具有挑战性，尤其是对于较小的组织或个人搜索者而言。由于数据非常宝贵，大型机构通常不会共享数据，因为数据提供了竞争优势。
训练
管道的第二步是训练模型。那么，训练模型究竟意味着什么呢？首先，我们来看一个例子。一个机器学习模型（训练完成后）通常只有两个文件。例如，LLaMa 2 （一个大型语言模型，类似于 GPT-4）就是两个文件：
参数，一个 140 GB 的文件，其中包括数字。
run.c ，和一个简单的文件（约 500 行代码）。
第一个文件包含 LLaMa 2 模型的所有参数，run.c 包含如何进行推理（使用模型）的说明。这些模型都是神经网络。
图 30 ：神经网络的基本图示
在像上面这样的神经网络中，每个节点都有一堆数字。这些数字被称为参数，并存储在文件（惊喜！）参数中。获取这些参数的过程称为训练。下面是一个高度概括的过程。
想象一下训练一个识别数字（从 0 到 9）的模型。我们首先收集数据（在这种情况下，我们可以使用 MNIST 数据集）。然后开始训练模型。
我们取第一个数据点，即 "5"。
然后，我们将图像（"5"）传递给网络。网络会对输入图像进行数学运算。
网络将输出一个 0 到 9 之间的数字。该输出是当前网络对该图像的预测。
现在有两种情况。网络要么是对的（它预测了 "5"），要么是错的（任何其他数字）。
如果它预测的数字正确，我们就不用做什么。
如果预测的数字不正确，我们将返回网络，对所有参数进行小幅修改。
在做了这些小改动后，我们再试一次。从技术上讲，网络现在有了新的参数，因此预测结果也会不同。
我们对所有数据点一直这样做，直到网络基本正确为止。
这一过程本质上是顺序性的。我们首先通过整个网络传递一个数据点，看看预测结果如何，然后更新模型的权重。
训练过程可以更加全面。首先，我们必须选择模型架构。我们应该选择哪种类型的神经网络？并不是所有的机器学习模型都是神经网络。其次，在确定哪种架构最适合我们，或者至少是我们认为最适合的架构之后，需要确定训练流程。例如，我们将以何种顺序将数据传递给网络？
第三，我们需要硬件设置。要使用什么样的硬件（CPU、GPU、TPU）？又该如何对其进行训练？
最后，在训练模型的同时，我们要验证这个模型是否真的很好。我们希望在训练结束时测试这个模型是否能提供我们想要的输出结果。剧透（其实也不算剧透），训练模型的计算成本非常高。任何微小的低效都会带来巨大的成本。正如我们稍后将看到的，特别是对于像 LLM 这样的大型模型，低效的训练可能会让你付出数百万美元的代价。
在第 2 章中，我们将再次详细讨论训练模型所面临的挑战。
推理
机器学习管道的第三步是推理，也就是使用模型。当我使用 ChatGPT 并得到回应时，模型正在执行推理。如果我用脸部解锁 iPhone，脸部 ID 模型会识别我的脸并打开手机。该模型执行了推理。数据已经有了，模型已经训练好了，现在模型训练好了，我们就可以使用它，使用它就是推理。
严格来说，推理与网络在训练阶段做出的预测是一回事。回想一下，一个数据点通过网络，然后进行预测。然后根据预测的质量更新模型参数。推理的工作原理与此相同。因此，与训练相比，推理的计算成本非常低。训练 LLaMa 可能要花费数千万美元，但推理一次只需几分之一。
与训练相比，计算成本更低。训练 LLaMa 可能要花费数千万美元，但进行一次推理只需几分之一。
推理过程有几个步骤。首先，在实际生产中使用之前，我们需要对其进行测试。我们对训练阶段未见的数据进行推理，以验证模型的质量。其次，当我们部署一个模型时，会有一些硬件和软件要求。例如，如果我的 iPhone 上有人脸识别模型，那么该模型就可以放在苹果公司的服务器上。然而，这样做非常不方便，因为现在每次我想解锁手机时，都必须访问互联网并向苹果服务器发送请求，然后在该模型上进行推理。然而，如果想在任意时刻使用这种技术，进行人脸识别的模型就必须存在于你的手机上，这意味着该模型必须与你 iPhone 上的硬件类型兼容。
最后，在实践中，我们还必须维护这一模式。我们必须不断进行调整。我们训练和使用的模型并不总是完美的。硬件要求和软件要求也在不断变化。
机器学习管道是迭代式的
到目前为止，我把这个管道设计成了依次进行的三个步骤。你获取数据，处理数据，清理数据，一切都很顺利，然后你训练模型，模型训练完成后，你进行推理。这就是机器学习在实践中的美好图景。实际上，机器学习需要进行大量的迭代。因此，它不是一个链条，而是如下图所示的几个循环。
图 31 ：机器学习流水线可以形象地理解为由数据、训练和推理三个步骤组成的链条。不过，在实践中，这一过程的迭代性更强，如蓝色箭头所示
为了理解这一点，我们可以举几个例子。例如，我们可能会收集一个模型的数据，然后尝试对其进行训练。在训练的过程中，我们会发现我们需要的数据量应该更多。这意味着我们必须暂停训练，回到数据步骤并获取更多数据。我们可能需要重新处理数据，或者进行某种形式的数据扩增。数据扩增就像是给数据改头换面，从老一套中创造出新的面貌。想象一下，你有一本相册，你想让它变得更有趣。你把每张照片都复制了几份，但在每份副本中，你都做了一些小改动--也许你旋转了一张照片，放大了另一张照片，或者改变了另一张照片的光线。现在，你的相册有了更多的变化，但实际上你并没有拍摄任何新照片。例如，如果你正在训练一个模特识别狗，你可能会水平翻转每张照片，然后把它也提供给模特。或者，我们改变照片中狗的姿势，如下图所示。就模型而言，这增加了数据集，但我们并没有到现实世界中去收集更多数据。
图 32 ：数据增强示例。对原始数据点进行多点扩增，无需到世界各地收集更多独特的数据点
迭代的第二个更明显的例子是，当我们实际训练了一个模型，然后将其用于实践，即进行推理时，我们可能会发现模型在实践中表现不佳或存在偏差。这意味着我们必须停止推理过程，返回并重新训练模型，以解决这些问题，如偏差和证明。
第三个也是非常常见的步骤是，一旦我们在实践中使用模型（进行推理），我们最终会对数据步骤进行修改，因为推理本身会产生新的数据。例如，想象一下建立一个垃圾邮件过滤器。首先，我们要收集数据。本例中的数据是一组垃圾邮件和非垃圾邮件。当模型经过训练并用于实践时，我的收件箱中可能会收到一封垃圾邮件，这意味着模型犯了一个错误。它没有把它归类为垃圾邮件，但它就是垃圾邮件。因此，当 Gmail 用户选择 "这封邮件属于垃圾邮件 "时，就会产生一个新的数据点。之后，所有这些新数据点都会进入数据步骤，然后我们可以通过多做一些训练来提高模型的性能。
另一个例子是，想象一个人工智能在下棋。我们训练人工智能下棋所需的数据是大量棋局，以及谁赢谁输的结果。但当这个模型用于实际下棋时，就会为人工智能生成更多的数据。这意味着，我们可以从推理步骤回到数据，利用这些新的数据点再次改进我的模型。这种推理和数据相连的想法适用于很多场合。
本节旨在让你对机器学习模型的构建过程有一个高层次的了解，这个过程是非常反复的。它不像 "哦，我们只需获取数据，一次尝试就能训练出一个模型，然后将其投入生产"。
机器学习的类型
我们将介绍三种主要的机器学习模型。
监督学习："老师，教我方法"
无监督学习："只需找到隐藏的模式”
强化学习："试一试，看什么有效"
监督学习(Supervised Learning)
"老师，教我方法"
想象一下，你正在教孩子区分猫和狗。你（对一切都了如指掌的老师）给他们看很多猫和狗的图片，每次都告诉他们哪个是哪个。最终，孩子们学会了自己辨别。这几乎就是机器学习中监督学习的工作原理。
在监督学习中，我们有大量的数据（比如猫和狗的图片），而且我们已经知道答案（老师告诉他们哪个是狗，哪个是猫）。我们利用这些数据来训练一个模型。该模型会查看许多示例，并有效地学习模仿老师。
在这个例子中，每张图片都是一个原始数据点。答案（狗或猫）被称为"标签"。因此，这是一个标签数据集。每个数据点都包含一张原始图片和一个标签。
这种方法概念简单，功能强大。在医疗诊断、自动驾驶汽车和股票价格预测中，使用监督学习模型的应用很多。
然而，可以想象，这种方法面临着许多挑战。例如，我们不仅需要获取大量数据，还需要标签。这可能非常昂贵。Scale.ai等公司在这方面提供了有价值的服务。数据标注对稳健性提出了许多挑战。给数据贴标签的人可能会犯错，或者只是对标签有不同意见。从人类收集的所有标签中，有 20% 无法使用的情况并不少见。
无监督学习（Unsupervised Learning）
"只需找到隐藏的模式"
想象一下，你有一个装满各种水果的大篮子，但你并不熟悉所有的水果。你开始根据它们的外观、大小、颜色、质地甚至气味将它们分类。你不太清楚每种水果的名称，但你注意到有些水果彼此相似。也就是说，你在数据中发现了一些规律。
这种情况类似于机器学习中的无监督学习。在无监督学习中，我们会给模型一堆数据（比如各种水果的组合），但我们不会告诉模型每个数据是什么（我们不会给水果贴标签）。然后，模型会检查所有这些数据，并试图自己找出模式或分组。它可能会根据水果的颜色、形状、大小或任何其他它认为相关的特征进行分组。然而，模型找到的特征并不总是相关的。这就导致了许多问题，我们将在第 2 章中看到。
例如，模型最终可能会将香蕉和大蕉归为一组，因为它们都是长条形且呈黄色，而苹果和西红柿可能会被归为另一组，因为它们都是圆形且可能是红色。这里的关键在于，模型是在没有任何先验知识或标签的情况下找出这些分组的--它是从数据本身学习的，就像你根据可观察到的特征将未知水果分到不同的组中一样。
无监督学习是许多流行的机器学习模型的支柱，例如大型语言模型（LLM）。ChatGPT 不需要人类通过提供标签来教它如何说每个句子。它只需分析语言数据中的模式，并学会预测下一个单词。
许多其他强大的生成式人工智能模型都依赖于无监督学习。例如，GAN（生成对抗网络）可用于生成人脸（即使这个人并不存在）。参见 https://thispersondoesnotexist.com/
图 33 ：人工智能生成的图像来自 https://thispersondoesnotexist.com
图 34 ：第二张人工智能生成的图片来自 https://thispersondoesnotexis t.com
上面的图片是人工智能生成的。我们并没有教这个模型"什么是人脸"。它是在大量人脸的基础上训练出来的，通过巧妙的架构，我们可以利用这个模型生成看似真实的人脸。请注意，随着生成式人工智能的兴起和模型的改进，对内容进行验证变得越来越困难。
强化学习 (Reinforcement Learning, RL)
"试一试，看什么有效 "或"从试验和错误中学习"
想象一下，您正在教一只狗做一个新的动作，比如捡球。每当狗狗做出接近你想要的动作时，比如跑向球或捡起球，你就给它点心吃。如果狗狗做了与此无关的事情，比如朝相反的方向跑，它就得不到食物。渐渐地，狗狗发现捡到球就能得到美味的食物，所以它就会一直这样做。这基本上就是机器学习领域中的强化学习（RL）。
在 RL 中，你有一个计算机程序或代理（如狗），它通过尝试不同的事情（如狗尝试不同的动作）来学习决策。如果代理做出了好的行为（比如捡球），它就会得到奖励（食物）；如果做出了不好的行为，它就得不到奖励。随着时间的推移，代理会学会多做能获得奖励的好事，少做不能获得奖励的坏事。从形式上看，这就是最大化奖励函数。
最酷的地方在于：代理会自己通过试错找出这一切。现在，如果我们想构建一个人工智能来下棋，那么人工智能最初可以随意尝试走棋。如果最终赢得了比赛，人工智能就会得到奖励。然后，该模型就会学会走更多的胜棋。
这可以应用于许多问题，尤其是需要连续决策的问题。例如，RL 方法可用于机器人与控制、国际象棋或围棋（如 AlphaGo）以及算法交易。
RL 方法面临许多挑战。其一，代理可能需要很长时间才能"学会"有意义的策略。这对于学习下棋的人工智能来说是可以接受的。但是，当人工智能开始采取随机行动来观察哪些行动有效时，你会把你的个人资金投入到人工智能算法交易中吗？或者说，如果机器人一开始会采取随机行动，你会允许它住在你家吗？
图 35 ：这是一些强化学习代理在训练过程中的视频：一个真正的机器人和一个模拟机器人
以下是每种机器学习的应用实例简述。
B. 机器学习面临的挑战
本章概述了机器学习领域的问题。我们将有选择性地对该领域的某些问题展开。这样做有两个原因： 1）简明扼要，全面概述该领域的挑战并考虑到细微差别会导致报告非常冗长；2）在讨论与加密货币的交叉点时，我们将重点关注相关问题。不过，本节本身只是从人工智能的角度撰写的。也就是说，我们不会在本节讨论密码学方法。
本节所涉主题概述：
从偏见到可访问性，数据面临着巨大的挑战。此外，数据层面上存在恶意的攻击也会导致机器学习模型的误判。
当模型（如 GPT-X）在合成数据上进行训练时，会发生模型崩溃。这会对其造成不可逆转的损害。
标注数据可能非常昂贵、缓慢且不可靠。
根据不同的架构，训练机器学习模型会面临许多挑战。
模型并行化带来了巨大的挑战，例如通信开销。
贝叶斯模型可用于量化不确定性。例如：在进行推理时，模型会返回它的确定程度（如 80% 的确定性）。
LLM 面临幻觉（hallucination）和训练困难等特殊挑战。
数据挑战
数据是任何类型机器学习模型的关键。不过，数据的要求和规模因使用的方法而异。无论是监督学习还是无监督学习，都需要原始数据（无标签数据）。
在无监督学习中，只有原始数据，不需要标注。这就缓解了许多与标注数据集相关的问题。然而，无监督学习所需的原始数据仍然会带来许多挑战。这包括：
数据偏差：当训练数据不能代表所要模拟的真实世界场景时，机器学习中就会出现偏差。这可能导致偏差或不公平的结果，例如面部识别系统在某些人口群体上表现不佳，因为他们在训练数据中的代表性不足。
不均衡的数据集：通常，可用于训练的数据在不同类别之间的分布并不均衡。例如，在疾病诊断应用中，“无病”案例可能比"有病"案例多得多。这种不平衡会导致模型在少数民族/阶层上表现不佳。这个问题与偏见不同。
数据的质量和数量：机器学习模型的性能在很大程度上取决于训练数据的质量和数量。数据不足或质量不佳（如低分辨率图像或嘈杂的音频录音）会严重影响模型的有效学习能力。
数据的可获取性：获取大型、高质量的数据集可能是一项挑战，尤其是对于规模较小的机构或个人研究人员而言。大型科技公司在这方面往往具有优势，这可能导致机器学习模型开发方面的差距。
数据安全：保护数据免遭未经授权的访问并确保其在存储和使用过程中的完整性至关重要。安全漏洞不仅会损害隐私，还会导致数据被篡改，影响模型性能。
隐私问题：由于机器学习需要大量数据，处理这些数据可能会引发隐私问题，尤其是当其中包含敏感或个人信息时。确保数据隐私意味着尊重用户同意、防止数据泄露以及遵守 GDPR 等隐私法规。这可能非常具有挑战性（见下文示例）。
图 36 ：数据隐私的一个特殊问题源于机器学习模型的性质。在普通数据库中，我可以有关于多人的条目。如果我的公司要求我删除这些信息，你只需从数据库中删除即可。然而，当我的模型经过训练后，它持有几乎整个训练数据的参数。不清楚哪个数字对应训练中的哪个数据库条目。
模型崩溃
在无监督学习中，我们要强调的一个特殊挑战是模型崩溃。
在本文中，作者进行了一项有趣的实验。GPT-3.5 和 GPT-4 等模型是使用网络上的所有数据训练而成的。然而，这些模型目前正在被广泛使用，因此一年后互联网上的大量内容将由这些模型生成。这意味着，GPT-5 及以后的模型将使用 GPT-4 生成的数据进行训练。在合成数据上训练模型的效果如何？他们发现，在合成数据上训练语言模型会导致生成的模型出现不可逆转的缺陷。论文作者指出：“我们证明，如果我们要保持从网络上搜刮的大规模数据进行训练所带来的好处，就必须认真对待这一问题。当从互联网抓取的数据中出现由 LLM 生成的内容时，收集到的有关人与系统之间真实交互行为的数据价值将越来越大"。
图 37 ：模型崩溃示意图。随着使用人工智能模型生成的互联网内容越来越多，下一代模型的训练集中很可能包含合成数据，如本文所示
请注意，这种现象并非 LLM 所特有，它可能会影响各种机器学习模型和生成式人工智能系统（如变异自动编码器、高斯混合模型）。
现在，让我们来看看监督学习。在监督学习中，我们需要一个贴有标签的数据集。这意味着原始数据本身（一张狗的图片）和一个标签（"狗"）。标签由模型设计者手动选择，可以通过人工标注和自动化工具相结合的方式获得。这在实践中带来了许多挑战。这包括：
主观性：决定数据的标签可能是主观的，从而导致模糊不清和潜在的伦理问题。一个人认为合适的标签，另一个人可能会有不同的看法。
标签的差异：同一个人（更不用说不同的人）重复运行可能会提供不同的标签。这就提供了 "真实标签 "的噪声近似值，因此需要质量保证层。例如，人类可能会收到一个句子，并负责标注该句子的情绪（"快乐"、"悲伤"......等）。同一个人有时会给完全相同的句子贴上不同的标签。这就降低了数据集的质量，因为它在标签中引入了差异。在实践中， 20% 的标签无法使用的情况并不少见。
缺乏专家注释者：对于一个小众的医疗应用，人们可能很难获得大量有意义的标签数据。这是由于能够提供这些标签的人员（医学专家）十分稀缺。
罕见事件：对于许多事件来说，由于事件本身非常罕见，因此很难获得大量的标注数据。例如，发现流星的计算机视觉模型。
高成本：当试图收集大量高质量数据集时，成本可能高得惊人。由于上述问题，如果需要对数据集进行标注，成本尤其高昂。
还有很多问题，比如应对对抗性攻击和标签的可转移性。为了让读者对数据集的规模有一些直观的了解，请看下图。像 ImageNet 这样的数据集包含 1400 万个标签数据点。
图 38 ：各种机器学习数据集的规模示意图。Common Crawl 的近似值为 10 亿个网页，因此总字数远远超过这个数字。小型数据集（如 Iris）包含 150 幅图像。MNIST 大约有 70, 000 张图像。请注意，这是一个对数比例。
强化学习中的数据收集
在强化学习中，数据收集是一项独特的挑战。与监督学习不同的是，监督学习的数据是预先标记好的静态数据，而强化学习则依赖于通过与环境互动而产生的数据，这通常需要复杂的模拟或真实世界的实验。这就带来了一些挑战：
这一过程可能会耗费大量资源和时间，对于物理机器人或复杂环境而言尤其如此。如果机器人在真实世界中接受训练，那么它从试验和错误中学习可能会导致事故。或者，也可以考虑让训练机器人通过试验和错误来学习。
奖励稀少且延迟：在收到有意义的反馈之前，代理可能需要探索大量的行动，从而难以学习有效的策略。
确保所收集数据的多样性和代表性至关重要；否则，代理可能会过度适应狭隘的经验集，而不能通用化。在探索（尝试新行动）和利用（使用已知的成功行动）之间取得平衡使数据收集工作更加复杂，需要复杂的策略才能有效收集有用的数据。
值得强调的一点是，数据收集与推理直接相关。在训练一个强化学习代理下棋时，我们可以利用自我对弈来收集数据。自我对弈就像是与自己下棋，以获得进步。代理与自己的副本对弈，形成一个持续学习的循环。这种方法非常适合收集数据，因为它会不断产生新的场景和挑战，帮助代理从广泛的经验中学习。这一过程可以在多台机器上并行执行。由于推理的计算成本很低（与训练相比），这一过程对硬件的要求也很低。通过自我游戏收集数据后，所有数据都将被用于训练模型和改进模型。
对抗性数据攻击
数据毒化攻击：在这种攻击中，通过添加扰动来破坏训练数据，从而欺骗分类器，导致不正确的输出。例如，有人可能会在非垃圾邮件中添加垃圾邮件元素。这将导致将来在垃圾邮件过滤器的训练中加入这些数据时，性能下降。这可以通过在非垃圾邮件上下文中增加 "free"、"win"、"offer "或 "token"等词的使用来解决。
规避攻击：攻击者在部署过程中操纵数据，欺骗先前训练好的分类器。规避攻击在实际应用中最为普遍。针对生物识别验证系统的"欺骗攻击 "就是规避攻击的例子。
对抗性攻击：这是对合法输入的修改，目的是愚弄模型，或者使用专门设计的"噪音"来引起错误分类。请看下面的例子，在熊猫图像中添加噪音后，模型将其分类为长臂猿（置信度为 99.3% ）。
图 39 ：通过在熊猫图像中添加特殊类型的噪声，模型可预先判断出图像是长臂猿而不是熊猫。在进行对抗攻击时，我们向神经网络提供一幅输入图像（左图）。然后，我们使用梯度下降法构建噪声向量（中）。该噪声向量被添加到输入图像中，从而导致错误分类（右图）。(图片来源：本文图 1 解释和利用对抗性实例》论文中的图 1）
训练方面的挑战
训练机器学习模型会面临许多挑战。本节绝不是为了说明这些挑战的严重性。相反，我们试图让读者了解挑战的类型和瓶颈所在。这将有助于建立直觉，从而能够评估将训练模型与密码原语相结合的项目构想。
请看下面这个无监督学习问题的例子。在无监督学习中，没有 "老师 "提供标签或指导模型。相反，模型会发现问题中隐藏的模式。考虑一个猫狗数据集。每只猫狗都有两种颜色：黑色和白色。我们可以使用一个无监督学习模型，通过将它们聚类为两组来找到数据中的模式。该模型有两种有效的方法：
将所有狗集中在一起，将所有猫集中在一起
将所有白色动物集中在一起，将所有黑色动物集中在一起。
请注意，从技术上讲，这两者都没有错。模型找到的模式很好。然而，要完全按照我们的要求来引导模型是非常具有挑战性的。
图 40 ：训练好的对猫和狗进行分类的模型最终可能会根据颜色将动物聚类在一起。这是因为在实践中很难指导无监督学习模型。所有图像均由人工智能使用 Dalle-E 生成
这个例子说明了无监督学习所面临的挑战。然而，在所有类型的学习中，能够评估模型在训练过程中的学习效果并进行潜在干预至关重要。这可以节省大量资金。
训练大型模型的挑战还有很多，以下是一个非常简短的清单：
训练大规模机器学习模型，尤其是深度学习模型，需要大量的计算能力。这通常意味着要使用高端 GPU 或 TPU，而它们可能既昂贵又耗能。
与这些计算需求相关的成本不仅包括硬件，还包括连续运行这些机器（有时长达数周或数月）所需的电力和基础设施。
强化学习因其训练的不稳定性而闻名，模型或训练过程中的微小变化都可能导致结果的显著差异。
与 Adam 等监督学习中使用的更稳定的优化方法不同，强化学习中没有放之四海而皆准的解决方案。通常需要对训练过程进行定制，这不仅耗时，而且需要深厚的专业知识。
强化学习中的探索-开发两难问题使训练变得更加复杂，因为找到正确的平衡点对于有效学习至关重要，但却很难实现。
机器学习中的损失函数定义了模型的优化目标。选择错误的损失函数会导致模型学习到不恰当或次优的行为。
在复杂任务中，例如涉及不平衡数据集或多类分类的任务，选择、有时甚至定制设计正确的损失函数变得更加重要。
损失函数必须与应用的实际目标紧密结合，这就需要深入了解数据和预期结果。
在强化学习中，设计能持续、准确反映预期目标的奖励函数是一项挑战，尤其是在奖励稀少或延迟的环境中。
在国际象棋游戏中，奖励函数可以很简单：赢了得 1 分，输了得 0 分。但是，对于行走机器人来说，这个奖励函数可能会变得非常复杂，因为它将包含 "面向前方行走"、"不要随意摆动手臂 "等信息。
在监督学习中，由于深度神经网络的 “黑箱” 性质，要了解是哪些特征驱动了复杂模型（如深度神经网络）的预测具有挑战性。
这种复杂性使得调试模型、了解其决策过程和提高其准确性变得十分困难。
这些模型的复杂性也对可预测性和可解释性提出了挑战，而这对在敏感或受监管领域部署模型至关重要。
同样，训练模式和所涉及的挑战也是非常复杂的话题。我们希望上述内容能让您对所涉及的挑战有一个大致的了解。如果您想深入了解该领域当前面临的挑战，我们推荐您阅读《应用深度学习中的开放性问题》（Open Problems in Applied Deep Learning）和《MLOps 指南》（MLOps guide）。
从概念上讲，机器学习模型的训练是按顺序进行的。但在很多情况下，并行训练模型至关重要。这可能只是因为模型太大，一个 GPU 难以容纳，并行训练可以加快训练速度。然而，并行训练模型会带来重大挑战，包括：
通信开销：将模型分割到不同的处理器需要这些单元之间不断进行通信。这可能会造成瓶颈，尤其是对于大型模型而言，因为各单元之间的数据传输可能会耗费大量时间。
负载均衡：确保所有计算单元得到平等利用是一项挑战。不平衡会导致一些单元闲置，而另一些单元超负荷运行，从而降低整体效率。
内存限制：每个处理器单元的内存都是有限的。在不超出这些限制的情况下，有效管理和优化多个单元的内存使用情况是非常复杂的，尤其是大型模型。
实施的复杂性：设置模型并行涉及计算资源的复杂配置和管理。这种复杂性会增加开发时间和出错的可能性。
优化困难：传统的优化算法可能无法直接适用于模型并行化环境，也无法提高效率，这就需要进行修改或开发新的优化方法。
调试和监控：由于训练过程的复杂性和分布性增加，监控和调试分布在多个单元上的模型比监控和调试运行在单个单元上的模型更具挑战性。
推理中的挑战
许多类型的机器学习系统面临的最重要挑战之一就是它们可能会"自信地出错"。ChatGPT 可能会返回一个我们听起来很有把握的答案，但事实上这个答案是错误的。这是因为大多数模型经过训练后都会返回最有可能的答案。贝叶斯方法可用于量化不确定性。也就是说，模型可以返回一个有根据的答案，来衡量它有多确定。
考虑使用蔬菜数据训练图像分类模型。该模型可以获取任何蔬菜的图像，并返回它是什么，例如 "黄瓜 "或 "红洋葱"。如果我们给这个模型输入一张猫的图像，会发生什么呢？普通模型会返回它的最佳猜测，也许是 "白色洋葱"。这显然是不正确的。但这是模型的最佳猜测。贝叶斯模型的输出则是 "白色洋葱 "和一个确定度，例如 3% 。如果模型有 3% 的确定性，我们可能就不应该根据这个预测采取行动。
图 41 ：常规模型预测（只返回最有可能的答案）和贝叶斯模型预测（返回预测结果的 s 分布）的示意图
这种形式的不确定性定性和推理在关键应用中至关重要。例如，医疗干预或金融决策。然而，贝叶斯模型的实际训练成本非常高，而且面临许多可扩展性问题。
推理过程中出现的更多挑战：
维护：随着时间的推移，尤其是数据和现实世界场景发生变化时，保持模型的更新和正常运行。
RL 中的探索-利用：在探索新策略和利用已知策略之间取得平衡，尤其是在推理直接影响数据收集的情况下。
测试性能：确保模型在新的、未见过的数据上表现良好，而不仅仅是在训练过的数据上。
分布偏移：处理输入数据分布随时间发生的变化，这种变化会降低模型性能。例如，推荐引擎需要考虑客户需求和行为的变化。
某些模型生成缓慢：像扩散模型这样的模型在生成输出时可能需要大量时间，而且速度较慢。
高斯过程和大型数据集：随着数据集的增长，使用高斯过程进行推理的速度会越来越慢。
增加防护栏：在生产模型中实施制衡措施，防止出现不良结果或误用。
大预言模型面临的挑战
大型语言模型面临许多挑战。不过，由于这些问题受到了相当多的关注，我们在此仅作简要介绍。
LLM 不提供参考文献，但可以通过检索增强生成（RAG）等技术来缓解没有参考文献等问题。
幻觉：产生无意义、虚假或无关的输出。
训练运行需要很长时间，而且数据集重新平衡的边际值很难预测，这就导致了缓慢的反馈循环。
很难将人类的基本评估标准扩展到模型所允许的吞吐量。
量化在很大程度上是需要的，但其后果却鲜为人知。
下游基础设施需要随着模型的变化而变化。在与企业合作时，这意味着长时间的发布延迟（生产总是远远落后于开发）。
不过，我们想重点介绍论文《沉睡代理：训练通过安全训练持续存在的欺骗性 LLMs》一文中的一个例子。作者训练的模型会在提示年份为 2023 年时编写安全代码，但在提示年份为 2024 年时插入可被利用的代码。他们发现，这种后门行为可以持续存在，因此标准的安全训练技术无法将其清除。这种后门行为在最大的模型中最持久，在经过经训练产生思维链路以欺骗训练过程的的模型中也最持久，甚至就算思维链路已经消失也一直存在。
图 42 ：后门示意图。如果是 2023 年，模型的训练表现为 "正常"，但如果是 2024 年，则策略表现不同。资料来源：本文图 1
在本章中，我们讨论了机器学习领域的许多挑战。显而易见，研究的巨大进步解决了许多此类问题。例如，基础模型为训练特定模型提供了巨大优势，因为您只需根据使用情况对其进行微调即可。此外，数据标注不再是全手工过程，使用半监督学习等方法可以避免大量的人工标注。
本章的总体目标是先让读者对人工智能领域的问题有一些直观的了解，然后再探讨人工智能与密码学的交叉问题。
Landscape
3.1.1   0x 0
Website: https://coinmarketcap.com/currencies/0x 0-ai-ai-smart-contract/
One liner: 0x 0.ai combines advanced AI technologies with crypto to revolutionize pri- vacy, security, and income in DeFi.
Description: 0x 0.ai integrates artiﬁcial intelligence, including machine learning and algorithmic analysis, with cryptocurrency to improve privacy, security, and DeFi ap- plications, focusing on smart contract auditing and the application of zero-knowledge proofs. It innovates with a revenue-sharing model, redistributing generated revenue to token holders, aiming for a secure, private, and incentivized ﬁnancial ecosystem.
3.1.2   0x AI
Website: https://twitter.com/0x AIPlatform
One liner: 0x AI leverages the Ethereum blockchain for AI-driven meme coin ventures and art
Description: 0x AI integrates AI’s art generation capabilities with Ethereum blockchain technology to both produce and distribute creative works, complementing this with a meme coin venture. This project underscores the synergy of AI and crypto by utilizing smart contracts for direct market interaction and emphasizing holder in- clusivity, aiming to explore AI’s potential in artistic and ﬁnancial domains.
3.1.3 0x scope
Website: https://www.0x scope.com/
One liner: 0x Scope - The AI Data Layer for Web3 AI Applications.
Description: 0x Scope develops an AI-driven data layer tailored for Web3 applications, focusing on enhancing data exchange across Web2 and Web3 platforms through tech- nologies like knowledge graphs and decentralized storage. This initiative, supported by strategic investments from entities like OKX Ventures, facilitates cross-chain integra- tion and privacy computing, while its products, such as ‘Scopechat’ and ‘Scopescan’, showcase its dedication to merging AI capabilities with blockchain technology to serve a broad user base including over 311 B2B clients and 237 K individual users.
3.1.4 3 commas
Website: https://3commas.io/
One liner: 3 Commas is a comprehensive cryptocurrency trading platform that lever- ages AI to enhance trading strategies and eﬃciency.
Description: 3 Commas utilizes sophisticated AI algorithms to provide automated trading bots and smart trading terminals, enhancing trading strategies and risk man- agement across various market conditions on 16 major cryptocurrency exchanges. Its integration with TradingView and features like DCA, grid bots, and signal bots for strategy execution underscore its AI-centric approach to maximizing crypto trading eﬃciency and portfolio management.
3.1.5 9 VRSE
Website: https://www.linkedin.com/company/9vrse-inc
One liner: 9 VRSE - Bridging virtual worlds with blockchain technology for immersive gaming and content monetization.
Description: 9 VRSE is an AI and cryptocurrency-driven creative studio that uses blockchain to build immersive, monetizable virtual experiences in a thematic metaverse, blending web3, gaming, 3D art, and AI. It focuses on secure, play-to-earn gaming and digital realms, underpinned by a commitment to transparency, community engagement through ‘Kitty Krew’, and legal protection for its developments.
3.1.6 ADADEX
Website: https://twitter.com/AdadexOﬃcial
One liner: ADADEX pioneers decentralized artiﬁcial intelligence and robot develop- ment in the metaverse, blending DeFi utilities with advanced AI capabilities.
Description: ADADEX merges decentralized ﬁnance (DeFi) with artiﬁcial intelligence (AI) by developing AI-driven agents and virtual robots for the metaverse, aimed at analyzing and executing trading strategies. Utilizing the ADEX token, it enables mon- etization of AI services, oﬀering privacy, eﬃciency, and scalability in AI-enhanced DeFi solutions within the metaverse.
3.1.7 Adot AI
Website: https://twitter.com/Adot_web3
One liner: Adot AI: Revolutionizing Web3 exploration with AI-powered decentralized search.
Description: Adot AI introduces a decentralized search network combining AI and cryptocurrency technology, aimed at optimizing web browsing and blockchain explo-
ration through a Chrome extension and an upcoming Web3 search engine. This platform enhances user experience by providing AI-driven search precision and smart insights, alongside features like multi-language support and easy integration, making Web3 con- tent more accessible and navigable.
3.1.8 AgentMe
Website:https://www.reddit.com/r/miamidolphins/comments/16wnqg7/with_river_cracraft_out_the_miami_dolphins_have/
One liner: Revolutionizing value transfer and ownership tracking in the crypto world through advanced AI algorithms.
Description: AgentMe, positioned in the Data category, is a project that integrates AI and cryptocurrency, focusing on employing advanced AI algorithms to improve security, eﬃciency, and trust in value transfers and ownership veriﬁcation in the crypto sector. It utilizes asymmetric cryptography to develop a decentralized system that ensures transactions are publicly broadcasted and immutably recorded, tackling the double- spending issue and enhancing the reliability of digital ﬁnancial transactions.
3.1.9 AI Arena
Website: https://aiarena.io/
One liner: AI Arena: Revolutionizing gaming and ﬁnance with AI-powered NFT ﬁght- ers on the Ethereum blockchain.
Description: AI Arena utilizes the Ethereum blockchain to oﬀer a play-to-earn game where players own AI ﬁghters, represented as NFTs, that autonomously improve via artiﬁcial neural networks. This integration of AI and crypto technologies enables a competitive ecosystem where skills enhancement through imitation learning or self-play in PvP battles leads to token rewards, showcasing the blend of AI and blockchain in enhancing gaming experiences and ﬁnancial opportunities for users.
3.1.10 AIOZ
Website: https://aioz.network/
One liner: Decentralized AI-powered Content Delivery and Computation
Description: AIOZ Network integrates AI and blockchain through its decentralized content delivery network (dCDN), oﬀering decentralized storage, streaming, and AI computation by harnessing spare computing resources worldwide. This setup not only facilitates web3 AI applications and media delivery but also plans for the expansion into decentralized AI as a Service, showcasing a practical fusion of AI and crypto tech- nologies to enhance eﬃciency and accessibility in digital content and computation.
3.1.11 Aizel Network
Website: https://aizelnetwork.com/
One liner: Aizel Network is revolutionizing blockchain with trustless, on-chain AI, ensuring Web2 speed & costs.
Description: Aizel Network combines AI and blockchain technology, oﬀering a plat- form where machine learning models can execute trustless, veriﬁable inferences on-chain using Multi-Party Computation (MPC) and Trusted Execution Environments (TEEs) for security. It promises to equip any smart contract across blockchain networks with scalable, privacy-preserving AI capabilities, facilitated by a team blending expertise in data science, AI, and blockchain.
3.1.12 Akash
Website: https://akash.network/
One liner: Akash Network is an open-source Supercloud for decentralized cloud com- puting, combining AI & Crypto to innovate the future of cloud infrastructure.
Description: Akash Network oﬀers a decentralized, blockchain-based cloud comput- ing marketplace that uses Kubernetes and Cosmos for secure and eﬃcient application hosting. It notably reduces costs (up to 85% lower than traditional providers) through a ‘reverse auction’ pricing system and facilitates distributed machine learning, high- lighting its utility in the intersection of AI and Crypto.
3.1.13 Akash
Website: https://akash.network/
One liner: Akash Network is an open-source Supercloud for decentralized cloud com- puting, combining AI & Crypto to innovate the future of cloud infrastructure.
Description: Akash Network oﬀers a decentralized, blockchain-based cloud comput- ing marketplace that uses Kubernetes and Cosmos for secure and eﬃcient application hosting. It notably reduces costs (up to 85% lower than traditional providers) through a ‘reverse auction’ pricing system and facilitates distributed machine learning, high- lighting its utility in the intersection of AI and Crypto.
3.1.14 Aleo
Website: https://aleo.org/
One liner: Aleo leverages zero-knowledge proofs to enable fully private applications on a scalable, privacy-ﬁrst blockchain.
Description: Aleo leverages zero-knowledge proofs (ZKPs) in its layer-1 blockchain platform to enable the creation of decentralized applications that emphasize user privacy and data security, without compromising scalability or security. Through its na- tive programming language, Leo, and infrastructure like snarkOS and snarkVM, Aleo facilitates the development and deployment of smart contracts with privacy features, positioning itself at the nexus of AI, crypto, and privacy-enhancing technologies.
3.1.15 Aleph.im
Website: https://aleph.im/
One liner: Decentralizing AI and data management on the blockchain.
Description: Aleph.im combines AI with blockchain technology to oﬀer decentralized data management, including encrypted storage and serverless computing, through a network that allows DApp development without centralization. Its key feature, Liber- tai.io, leverages this infrastructure for decentralized AI processing, emphasizing data privacy and system resilience.
3.1.16 Alethea AI
Website: https://alethea.ai/
One liner: Alethea AI: Revolutionizing content creation and ownership via generative AI and blockchain.
Description: Alethea AI introduces a platform combining artiﬁcial intelligence and blockchain technology, using generative AI to craft interactive AI characters that can be customized, trained, and tokenized as ‘intelligent NFTs’ (iNFTs) on the blockchain, ensuring ownership and the capability for evolution. The project employs its Artiﬁcial Liquid Intelligence (ALI) token for transactions and governance, striving for a decen- tralized AI ecosystem where these iNFTs can alter digital asset interaction in the Web3 space.
3.1.17 Algovera
Website: https://www.algovera.ai/
One liner: Algovera is a decentralized AI research organization and agency pioneering in Web3 innovations.
Description: Algovera is a decentralized AI research and development agency that utilizes blockchain technology to create an open and transparent platform for AI inno- vation, focusing on the empowerment of developers through direct access to resources and funding via cryptocurrency. This integration of AI with Web3 technologies enables the exploration of new AI-driven solutions, promoting a decentralized technological future.
3.1.18 Alpha 3d
Website:   https://techcrunch.com/2023/09/21/heres-the-crypto-news-you-missed-at-disrupt-2023/
One liner: Alpha 3D revolutionizes 3D asset creation with generative AI, making dig- ital world-building accessible and eﬃcient.
Description: Alpha 3D utilizes generative AI to streamline the creation of 3D digital assets from text or images, oﬀering a cost and time-eﬃcient solution at scale for the production of assets in immersive environments. This platform, residing at the nexus of AI and Crypto within the Data segment, enables more accessible and rapid content generation for digital experiences across multiple platforms.
3.1.19 Anchain.AI
Website: https://www.anchain.ai/
One liner: AnChain.AI: Revolutionizing Web3 Security and Compliance with AI- Powered Solutions.
Description: AnChain.AI employs AI to enhance security, compliance, and crime investigation within the Web3 ecosystem, oﬀering an AI-powered platform that au- tomates the analysis of crypto transactions and smart contracts for identifying risks and ensuring AML/CFT compliance. This platform serves over 200 customers, over- seeing more than $ 100 billion in daily trading volume, by utilizing AI for tasks such as blockchain investigation auto-trace, risk assessment, and the detection of suspicious activities, aiming to improve the safety and integrity of the blockchain environment.
3.1.20 Anima Virtuality
Website: https://twitter.com/animavirtuality?lang=en
One liner: Anima Virtuality: Blending AI, AR, and Blockchain to create immersive gaming experiences with virtual characters.
Description: Anima Virtuality, Inc., combines AI, AR, and blockchain technologies to create immersive gaming experiences, epitomized by their AI companions, Onlybots. This initiative represents the conﬂuence of AI and cryptocurrency in enhancing digital interaction and gaming, backed by a strong founding team and signiﬁcant investment.
3.1.21 Arweave
Website: https://www.arweave.org/
One liner: Arweave oﬀers a decentralized network for permanent and sustainable data storage, leveraging blockchain technology.
Description: Arweave integrates AI and cryptocurrency through its decentralized net- work designed for perpetual data storage, leveraging its native currency, AR, to reward miners. This facilitates a durable, censorship-resistant digital repository essential for AI applications that depend on large datasets for training and inference, positioning it as a signiﬁcant contributor to the AI x Crypto ecosystem.
3.1.22 Atlas 3D AI
Website:   https://www.prnewswire.com/news-releases/atlas-raises-6m-to-launch-3d- generative-ai-platform-accelerating-the-future-of-gaming-and-virtual-worldbuilding-
301986918.html
One liner: Atlas 3D AI revolutionizes gaming and virtual worldbuilding with its pro- prietary 3D generative AI platform.
Description: Atlas 3D AI is an AI-driven 3D generative platform that streamlines the creation of virtual worlds and experiences for game developers and brands by sig- niﬁcantly reducing asset development time and costs, thereby enhancing scalability up to 200 times. Its integration with blockchain technology and collaborations with major gaming studios and blockchain entities highlights its role in bridging AI’s capabilities with the crypto ecosystem to innovate in the gaming and virtual experience domains.
3.1.23 ATOR
Website: https://coinmarketcap.com/currencies/airtor-protocol/
One liner: ATOR integrates AI with crypto to enhance online anonymity, oﬀering rewards for secure network participation.
Description: The ATOR Protocol integrates AI with blockchain to enhance the se- curity and eﬃciency of the Tor network by rewarding network participants with cryp- tocurrency for their uptime, using a Proof-of-Uptime model to encourage a robust and secure network. By deploying AI for network optimization and introducing user- friendly hardware like the ATOR Router Hotspot, the project aims to expand its global anonymity network, leveraging AI and on-chain incentives to improve digital privacy and network performance.
3.1.24 Audius
Website: https://audius.co/
One liner: Audius is a decentralized music streaming service integrating crypto to empower artists and listeners.
Description: Audius utilizes blockchain and its native token $AUDIO to oﬀer a de- centralized music streaming platform, enabling direct artist-audience connections and content monetization through engagement and exclusive access via artist tokens. This approach removes intermediaries, ensures content immutability through a secured net- work of node operators, and promotes distributed value and governance within its community.
3.1.25 Auradine
Website: https://auradine.com/
One liner: Auradine is revolutionizing the blockchain landscape through innovative Bitcoin mining systems and advanced AI integration.
Description: Auradine focuses on developing eﬃcient infrastructure solutions at the crypto and AI intersection, notably through its Teraﬂux™ Bitcoin miners, which mark a signiﬁcant improvement in energy eﬃciency and transaction speeds due to a pioneering four-nanometer silicon transistor. Beginning with a substantial $ 81 million fundraising without a product, the company emphasizes innovation in combining AI and blockchain to enhance web infrastructure security, privacy, and eﬃciency.
3.1.26 Autonolas
Website: https://twitter.com/autonolas?lang=en
One liner: Autonolas is a uniﬁed network for oﬀ-chain services powered by autonomous agents and coordinated with the OLAS token.
Description: Autonolas, leveraging its native token Olas, integrates AI and crypto by oﬀering oﬀ-chain services that support automation, oracles, and co-owned AI to enhance decentralized logic processing. Its notable innovation, Governatooorr, serves as an AI governance delegate for DAOs, with OLAS tokens facilitating operation and governance within its expanding ecosystem across major blockchains.
3.1.27 Axiom
Website: https://www.axiom.xyz/
One liner: Axiom utilizes ZK proofs to enable trustless on-chain queries and compu- tations over Ethereum’s history for data-rich and dynamic decentralized applications.
Description: Axiom integrates AI and crypto on the Ethereum blockchain by allowing developers to craft smart contracts that compute and verify the blockchain’s entire history using zero-knowledge proofs. This enables the development of advanced DeFi applications, custom oracles, and loyalty programs by utilizing historical data without external inputs. Moreover, Axiom leverages this technology for AI tasks like validat- ing online content and identifying deepfakes, promoting data integrity and trustless processing, thus positioning itself at the forefront of secure and intelligent blockchain applications.
3.1.28 Azra Games
Website: https://azragames.com/
One liner: Innovative crossover of AI-driven gameplay and crypto-economic design with Azra Games’ NFT integration in RPG.
Description: Azra Games, led by Mark Otero of EA fame, is developing Legions & Leg- ends, an RPG that integrates AI and blockchain to enrich gameplay with NFT-based collectibles and ownership, aiming to blend traditional RPG depth with blockchain’s asset control beneﬁts. This initiative, supported by investors like Andreessen Horowitz, positions in-game assets as both enhancements to the player experience and as a draw for broader Web3 adoption.
3.1.29 Aztec
Website: https://aztec.network/
One liner: Aztec is a privacy-ﬁrst Layer 2 scaling solution on Ethereum enabling pri- vate transactions and smart contracts.
Description: Aztec Network enhances blockchain privacy on Ethereum via a Layer 2 solution that supports public and private smart contract executions, leveraging tools like the Aztec Sandbox and Noir programming language for developing privacy-centric applications. This initiative, which attracts signiﬁcant crypto investment and empha- sizes open-source development, is pivotal for integrating advanced privacy and security within AI-driven decentralized applications.
3.1.30 Bacalhau
Website: https://www.bacalhau.org/
One liner: Bacalhau - Revolutionizing compute over data with security and eﬃciency. Description: Bacalhau oﬀers a platform that distributes computing power for data processing at its source, utilizing Docker containers and WebAssembly for ﬂexible, se-
cure compute jobs. It supports a broad range of architectures and taps into underuti- lized resources, making it suitable for AI and crypto projects needing eﬃcient, secure data handling near its origin, with a focus on minimizing data movement and adhering to privacy standards.
3.1.31 Beldex
Website: https://beldex.io/
One liner: Beldex aims to create a scalable, privacy-centric ecosystem leveraging cryp- tocurrency and decentralized applications.
Description: Beldex combines AI and cryptocurrency on a decentralized blockchain platform to bolster privacy and security, leveraging Monero’s privacy features like ring signatures for untraceable transactions. It oﬀers privacy-centric dApps such as BChat and BelNet, and uses masternodes with a PoS mechanism to ensure scalable and cost- eﬃcient peer-to-peer transactions, focusing on the interplay of AI and crypto for en- hanced user privacy.
3.1.32 Bird Money
Website: https://coinmarketcap.com/currencies/bird-money/
One liner: Bird Money uses advanced machine learning tooﬀer decentralized ﬁnancial and security services.
Description: Bird Money leverages AI to enhance blockchain and DeFi applications by oﬀering machine learning prediction tools for wallet behavior, enabling dynamic DeFi loan terms and investment strategies through a decentralized on-chain oracle. This approach integrates AI analytics with cryptocurrency’s decentralization princi- ples, supporting community-driven governance and operations.
3.1.33 BitsCrunch
Website: https://bitscrunch.com/
One liner: Empowering the NFT ecosystem with AI-driven insights and security.
Description: BitsCrunch is a project integrating AI with cryptocurrency to oﬀer a decentralized NFT analytics and forensics platform, aiming to provide reliable data for making informed investment decisions and detecting fraud in the NFT market. Its API facilitates the development of trustworthy NFT and DeFi applications, while a commu- nity-driven model enhances system reliability across various blockchain infrastructures, promoting a secure and transparent NFT marketplace.
3.1.34 Bittensor
Website: https://bittensor.com/
One liner: Bittensor: Decentralizing AI Training and Inference via Blockchain Tech- nology.
Description: Bittensor combines artiﬁcial intelligence (AI) and blockchain to create a blockchain-based network for decentralized data processing and training of AI mod- els, with these models rewarded in Bittensor’s native cryptocurrency, TAO, for their valuable contributions. This system facilitates transparent, decentralized development and use of AI, ensuring equitable distribution of rewards and aligning with principles of open-source and decentralized governance.
3.1.35 Bittorrent
Website: https://www.bittorrent.com/token/btt/
One liner: BitTorrent tokenizes the world’s largest decentralized ﬁle sharing protocol, introducing BTT for a crypto-powered web.
Description: BitTorrent integrates blockchain technology with its decentralized ﬁle- sharing protocol through the BTT token on the Tron blockchain, rewarding user par- ticipation with incentives for seeding and bandwidth sharing, thereby enhancing net- work eﬃciency and illustrating a practical application of AI x Crypto in promoting a decentralized internet ecosystem.
3.1.36 Blackbird AI
Website: https://www.blackbird.ai/
One liner: Blackbird AI leverages a high speed signals processing engine to analyze the ﬁnance sector, focusing on crypto and trading platforms.
Description: Blackbird AI integrates advanced signal processing with cryptocurrency analytics, providing traders and institutional investors real-time tools to detect market distortions, fabricated hype, and emergent trends, facilitating grounded decision-mak- ing in the volatile sectors of ﬁnance, including meme stocks and cryptocurrency. This technology aids in risk mitigation and capitalizes on market opportunities by uncover- ing hidden signals within ﬁnancial data.
3.1.37 Blackbird.AI
Website: https://www.blackbird.ai/
One liner: Blackbird.AI leverages advanced AI to empower organizations against nar- rative-driven risks, potentially including crypto-related misinformation and disinfor- mation.
Description: Blackbird.AI utilizes artiﬁcial intelligence to measure and counteract misinformation threats, oﬀering tools like the Constellation Dashboard and Risk In- telligence Engine, which are crucial for maintaining integrity in the crypto sector by scoring and predicting the impact of narrative-based threats. Their technology, though not crypto-speciﬁc, is essential for protecting reputation and ﬁnancial stability in the digital assets market.
3.1.38 Blockade Labs
Website: https://www.blockadelabs.com/
One liner: Revolutionizing gaming with blockchain, Blockade Labs merges AI-driven experiences with crypto.
Description: Blockade Labs, with its leading franchise ‘Neon District’, merges blockchain technology and AI to reshape the gaming industry by creating decentralized, blockchain-based in-game economies and asset ownership, supported by an open-source developer platform, underscoring its pivotal role in the fusion of AI and crypto through a successful $ 5 million funding.
3.1.39 Blockexplorer
Website: https://blockexplorer.one/
One liner: BlockExplorer oﬀers insights into blockchain transactions, enhancing crypto and AI data analysis capabilities.
Description: BlockExplorer leverages AI to enhance its blockchain transaction analy- sis platform, focusing on predictive analytics, transaction monitoring, and anomaly detection for users at the intersection of AI and crypto. This involves using real-time transaction data to enable AI applications to identify trends, enhance security, and optimize blockchain operations.
3.1.40 Blockless
Website: https://blockless.network/
One liner: Blockless - Launching a new era of modular, network neutral applications on blockchain, leveraging AI for enhanced security and eﬃciency.
Description: Blockless integrates blockchain technology with AI to facilitate the secure and eﬃcient development of decentralized Network Neutral Applications (n- nApps), oﬀering a Modular Application Architecture for enhanced full-stack decentral- ization. Its unique features, including automated node orchestration, a WASM-based runtime, and AI-based model inference, support a wide range of programming languages and major L1/L2 blockchains, signiﬁcantly reducing development time to under three weeks while advancing the potential for application versatility at the intersection of crypto and AI.
3.1.41 Bluwhale
Website: https://www.linkedin.com/company/bluwhaleai
One liner: Bluwhale is revolutionizing Web3 by integrating AI with blockchain for personalized user experiences and data monetization.
Description: Bluwhale integrates AI with blockchain to oﬀer a decentralized personal- ization protocol for DApp developers and users, utilizing AI and contextual data to en- hance user engagement and monetization while ensuring data privacy across blockchain networks. Their system, featuring predictive user proﬁling and AI insights, creates detailed wallet proﬁles, facilitating a secure, personalized, and monetizable Web3 expe- rience.
3.1.42 Boathouse AI Agents
Website: https://twitter.com/bryanhpchiang?lang=en
One liner: Boathouse AI Agents leverages cutting-edge AI technologies to improve human interaction experiences.
Description: Boathouse AI Agents leverages GPT-4 and Whisper AI technologies to enhance human interactions via a service named rizzGPT, oﬀering real-time con- versational guidance through Monocle AR glasses. Additionally, their lifeOS system, integrated into AR smart glasses, employs computer vision to facilitate social interac- tions by suggesting conversation topics based on historical text data, showcasing the practical application of AI and augmented reality in improving communication.
3.1.43 Botto
Website: https://www.botto.com/
One liner: Botto is a decentralized, autonomous art-creating entity powered by AI and community participation in the crypto space.
Description: Botto combines AI and blockchain by acting as a decentralized au- tonomous artist that produces art based on community feedback, with the created pieces auctioned as NFTs on the crypto market. This project leverages AI’s potential for art generation and the Ethereum blockchain for decentralized voting and auction- ing, exemplifying collaborative creativity within the cryptocurrency ecosystem.
3.1.44 Botto
Website: https://www.botto.com/
One liner: Botto is a decentralized, autonomous art-creating entity powered by AI and community participation in the crypto space.
Description: Botto combines AI and blockchain by acting as a decentralized au- tonomous artist that produces art based on community feedback, with the created pieces auctioned as NFTs on the crypto market. This project leverages AI’s potential for art generation and the Ethereum blockchain for decentralized voting and auction- ing, exemplifying collaborative creativity within the cryptocurrency ecosystem.
3.1.45 Braindrops
Website: https://www.coingecko.com/en/nft/braindrops
One liner: Braindrops is a pioneering platform for AI-generated art leveraged by NFT technology.
Description: Braindrops is an NFT platform focused on AI-generated art, enabling artists to monetize their AI-driven creations by minting and selling them as NFTs. It aims to merge AI with blockchain technology by introducing dynamic generation, customization, and interaction with the art pieces.
3.1.46 BrianKnows
Website: https://www.brianknows.org/
One liner: BrianKnows: Enhancing Web3 with AI-driven intents for seamless crypto transactions and smart contract operations.
Description: BrianKnows is an AI-driven cryptocurrency platform that simpliﬁes web3 interactions through an AI interface, enabling users to conduct token transac- tions, bridge, and deploy smart contracts using voice prompts. It integrates with various protocols including Ethereum, Polygon, and Optimism, and provides a non-custodial, user-friendly experience for accessing web3 information and performing on-chain oper- ations.
3.1.47 C 2 PA
Website: https://c2pa.org/speciﬁcations/speciﬁcations/1.0/guidance/Guidance.html
One liner: C 2 PA stands for the Coalition for Content Provenance and Authenticity, leveraging crypto and AI for digital media veriﬁcation.
Description: The Coalition for Content Provenance and Authenticity (C 2 PA) employs cryptographic techniques and AI-driven analysis to establish standards for certifying the provenance of digital media, leveraging Distributed Ledger Technology (DLT), dig- ital signatures, and NFTs to ensure content integrity and counter misuse. This initiative demonstrates the intersection of AI and blockchain technology in enhancing data vali- dation and combating misinformation by making digital media traceable and veriﬁable across platforms.
3.1.48 Ceramic
Website: https://ceramic.network/
One liner: Ceramic is a decentralized data network bridging AI with crypto, enabling scalable, interoperable, and veriﬁable data management.
Description: Ceramic merges blockchain and AI by oﬀering a decentralized ledger for high-volume data management, pairing the trust of blockchain with eﬃciency akin to traditional databases. It facilitates AI-driven application development through ver- iﬁable data storage and peer-to-peer streaming, using ComposeDB and GraphQL for enhanced data interaction, thereby supporting trusted and scalable data access crucial for AI training and inference in decentralized settings.
3.1.49 CertiK
Website: https://www.certik.com/
One liner: CertiK leverages AI to enhance blockchain security and smart contract auditing.
Description: CertiK specializes in enhancing blockchain security through AI and For- mal Veriﬁcation technology, oﬀering services such as smart contract and blockchain audits, and continuous security monitoring. Founded by Columbia and Yale professors in 2018, CertiK leverages its expertise to identify vulnerabilities and improve the reli- ability of blockchain systems, making it a key contributor to the AI and crypto inter- section.
3.1.50 Chainbase
Website: https://chainbase.com/
One liner: Chainbase, the seamless bridge for Web3 data infrastructure, integrating AI for smarter crypto applications.
Description: Chainbase streamlines Web3 development by oﬀering a browser-based platform for real-time blockchain data integration, processing, and AI-driven analytics across multiple ecosystems. It automates indexing and querying to facilitate eﬃcient AI model development and application in the crypto domain, signiﬁcantly cutting down on development time.
3.1.51 ChainLink
Website: https://chain.link/
One liner: Chainlink: Powering Smart Contracts with Real-World Data
Description: Chainlink is a decentralized oracle network that connects real-world data to smart contracts on various blockchains, utilizing a network of decentralized oracles to enable secure, manipulation-resistant data integration for complex executions in dApps across DeFi, insurance, and gaming. This facilitates the accurate and reliable operation of smart contracts, crucially linking blockchain technology with external systems.
3.1.52 ChainML
Website: https://www.chainml.net/
One liner: ChainML: Pioneering the integration of AI and blockchain for decentral- ized, secure, and accessible AI agents and machine learning models.
Description: ChainML merges artiﬁcial intelligence and blockchain technology to de- velop and deploy AI agents and machine learning models within a decentralized pro- tocol, enhancing DeFi, gaming, and social dApps. It focuses on providing a generative
AI platform for conversational analytics and an open-source framework for AI devel- opment, aiming to democratize advanced AI access and promote innovation through community-contributed, secure, and scalable computation in the Web3 ecosystem.
3.1.53 Clore.ai
Website: https://clore.ai/
One liner: Clore.ai - Revolutionizing access to distributed supercomputing for AI and cryptocurrency endeavors.
Description: Clore.ai oﬀers a distributed supercomputing platform that merges AI and cryptocurrency technologies, providing GPU computing for AI training, video ren- dering, and crypto mining. It features a user marketplace for computing resources, utilizes a Proof-of-Work blockchain called Clore Coin to reward participants, and em- phasizes security, cost eﬃciency, and environmental sustainability without relying on premines or ICOs for funding.
3.1.54 Colony
Website: https://www.colonylab.io/
One liner: Colony Lab: Accelerating the Avalanche Ecosystem Through Decentralized Community-Driven Fundraising and Liquidity.
Description: Colony Lab is a platform in the Avalanche ecosystem that combines AI and crypto to enhance decentralized fundraising and investment opportunities for early- stage projects. It focuses on providing capital, ecosystem support, and exposure, while also engaging the community through seed investments and yield-generating products, incorporating AI to optimize investment strategies and project support.
3.1.55 CorgiAI
Website: https://www.coingecko.com/en/coins/corgiai
One liner: CorgiAI integrates AI & Big Data in the vibrant space of DeFi, fostering a community-driven AI project with ambitions in the Cronos ecosystem.
Description: CorgiAI (CORGIAI) integrates Artiﬁcial Intelligence with cryptocur- rency within the DeFi sector, focusing on leveraging community engagement and AI innovations to expand its presence in the Cronos ecosystem. It oﬀers features such as token trading, AI tools, and Web3 exploration while maintaining ﬂexibility through smart contract modiﬁcations, marking its contribution to technology-driven advance- ments in both centralized and decentralized exchange platforms.
3.1.56 Crowdcent
Website: https://twitter.com/crowdcent?lang=en
One liner: CrowdCent utilizes crypto-economic incentives to decentralize investment management, closely aligned with Numerai.
Description: CrowdCent collaborates with Numerai to transform the hedge fund in- dustry by utilizing AI-driven predictive models and blockchain technology, speciﬁcally through the use of Numerai’s cryptocurrency, Numeraire (NMR), to stake on ﬁnancial predictions. This partnership fosters a transparent investment ecosystem by merging crowdsourced data science with decentralized principles, aiming to enhance eﬃciency and openness in hedge fund management.
3.1.57 Crust Network
Website: https://crust.network/
One liner: Crust Network oﬀers decentralized storage solutions, enhancing Web3′s data storage capabilities with IPFS integration.
Description: Crust Network combines blockchain’s decentralized capabilities with AI- enhanced algorithms on the Substrate framework to oﬀer secure, scalable storage solu- tions for both Web 3.0 and 2.0, incorporating an incentive layer for IPFS to ensure data integrity and privacy across various applications like DApp hosting and NFT storage.
3.1.58 CryptoIndex
Website: https://www.cdc.gov/parasites/crypto/index.html
One liner: Revolutionizing crypto investment through AI-driven analysis and diversi- ﬁed exposure.
Description: CryptoIndex utilizes artiﬁcial intelligence to intelligently analyze and derive insights from the cryptocurrency market, facilitating a diversiﬁed investment strategy for both individual and institutional investors through the Bitwise 10 Crypto Index Fund (BITW). This fund, emphasizing AI’s role in cryptocurrency investment strategies, focuses on the top 10 cryptocurrencies by market capitalization, ensuring monthly rebalancing and risk monitoring to optimize performance.
3.1.59 Cyborg DAO
Website: https://twitter.com/cyborgDAO
One liner: Cyborg DAO focuses on creating a singular AI art collection, oﬀering frac- tional ownership through Turing Key memberships.
Description: Cyborg DAO, launched in February 2022, creates a bridge between AI and cryptocurrency by oﬀering Turing Key memberships for fractional ownership of its AI-generated art collection, utilizing blockchain for transparent and secure transactions within this emerging crypto collectibles market.
3.1.60 DAOstack
Website: https://coinmarketcap.com/currencies/daostack/
One liner: DAOstack leverages decentralized governance to build collaborative plat- forms and DeFi solutions.
Description: DAOstack provides a framework for decentralized autonomous organi- zations (DAOs), focusing on decentralized governance and collaboration tools since 2017, blending AI with crypto to enhance collective decision-making processes. The project, which includes the Arc governance framework and Alchemy DAO platform, has shifted focus to the Common platform, aiming to leverage open development to overcome ﬁnancial challenges and advance market entry.
3.1.61 Deep Value NFT
Website: https://deepnftvalue.com/
One liner: DeepNFTValue leverages machine learning to provide precise, unbiased NFT valuations, fostering transparency and eﬃciency in DeFi lending and trading.
Description: DeepNFTValue is an AI-driven startup leveraging machine learning to value non-fungible tokens (NFTs) across collections such as CryptoPunks, Bored Ape, and more, enhancing accuracy in DeFi trading and lending. With $ 4 million in seed funding, it focuses on reducing biases in NFT valuation by expanding its AI capabili- ties, including signiﬁcant investment in GPU hardware for deep-learning computations within the cryptocurrency market.
3.1.62 DeﬁLabs
Website: https://twitter.com/deﬁlabs_farm?lang=en
One liner: DeﬁLabs: Revolutionizing ﬁnance with AI-driven DeFi solutions on the BSC chain.
Description: DeﬁLabs introduces an AI-driven decentralized platform on the Binance Smart Chain, focusing on optimizing DeFi investment strategies through AI-managed portfolios and high-yield liquidity pool investments. This project, secured by CertiK and Cyberscope audits, leverages AI for dynamic asset allocation and quantitative trading algorithms, aiming to signiﬁcantly improve investment outcomes in the DeFi sector.
3.1.63 Deﬁned AI
Website: https://www.ibm.com/topics/blockchain-ai
One liner: Deﬁned AI encompasses the integration of AI algorithms within blockchain ecosystems to enhance data security, automate tasks, and provide transparent, eﬃcient processes across various industries.
Description: Deﬁned AI combines artiﬁcial intelligence with blockchain to ensure data integrity, automate complex transactions, and enhance decision-making across various sectors, including healthcare and ﬁnance. This approach leverages blockchain’s immutability to address key AI challenges such as data security and transparency, fa- cilitating the development of scalable, eﬃcient, and trustworthy AI applications and data economies.
3.1.64 Defudge
Website:   https://www.reddit.com/r/HIMYM/comments/qmeoqm/marshalls_per-fume/
One liner: Defudger: Battling digital manipulation with AI and blockchain
Description: Defudger, a Berlin-based tech startup founded in 2019, leverages AI and blockchain technology to develop a detection system that veriﬁes digital content’s au- thenticity, targeting deepfakes and manipulated media to combat misinformation and bolster online trust.
3.1.65 Delysium
Website: https://www.delysium.com/
One liner: Delysium, merging AI and Crypto, is pioneering the AI-Powered Web3 domain with a focus on creating AI-Twins and a comprehensive digital ecosystem.
Description: Delysium combines AI and cryptocurrency by allowing users to create AI-Twins and integrates these with the AI-Powered Web3 Operating System, Lucy, to enrich virtual social interactions and economic activities. It leverages blockchain technology to secure and enhance the functionality of AI agents, like Lucy, aiming to seamlessly integrate AI into daily life and tasks.
3.1.66 Desilo
Website: https://www.buﬀalorising.com/2011/01/venus-de-silo/
One liner: Desilo integrates homomorphic encryption for privacy-preserving COVID-19 contact tracing.
Description: Desilo employs homomorphic encryption within a blockchain framework to enhance privacy and security for digital interactions, speciﬁcally focusing on a Pri- vacy-Oriented Technique for Epidemic Contact Tracing (PROTECT) protocol. This protocol conﬁdentially manages COVID-19 contact tracing location data, allowing for the computation of exposure risks without compromising individual privacy, showcas- ing a potential model for broader secure and private digital applications.
3.1.67 Echelon Prime
Website: https://echelon.io/
One liner: Echelon Prime harnesses the power of AI and crypto to revolutionize Web3 gaming with its native PRIME token, advancing novel gaming models and economies.
Description: Echelon Prime merges artiﬁcial intelligence with blockchain to foster a Web3 gaming ecosystem, utilizing the PRIME token for seamless, blockchain-enhanced gaming experiences. The project illustrates AI’s capability to revolutionize in-game economies and engagement, through its pioneering application in Parallel TCG, while asserting a strong market position in leveraging AI and big data across gaming, NFTs, and DeFi sectors.
3.1.68 enqAI
Website: https://www.coingecko.com/en/coins/enqai
One liner: enqAI: Unleashing the potential of uncensored and unbiased AI in the crypto sphere.
Description: enqAI, previously noiseGPT, merges artiﬁcial intelligence with blockchain technology on the Ethereum platform, emphasizing an uncensored AI ap- proach within decentralized ﬁnance (DeFi). It showcases active market engagement with a supply of 970 million tokens, highlighting the initiative to blend AI’s generative capabilities with blockchain’s security and transparency.
3.1.69 exaBITS
Website: https://www.exabits.ai/
One liner: Accelerating crypto and AI applications through cost-eﬀective, high-per- formance GPU compute.
Description: ExaBITS utilizes an extensive GPU network, including NVIDIA H 100 s, to oﬀer aﬀordable accelerated computing for AI model training and inference speciﬁ- cally within the cryptocurrency sector. Through this approach, exempliﬁed by Nebula Block’s 71% cost reduction and 30% performance increase, the project aims to enhance the eﬃciency and reduce the ﬁnancial barriers for incorporating AI into blockchain applications.
3.1.70 Ezkl
Website: https://github.com/zkonduit/ezkl
One liner: Ezkl: A pioneering Zero-Knowledge Inference tool for private and secure AI computations on the blockchain.
Description: Ezkl is a tool and library for integrating deep learning models with Zero-Knowledge Proofs (ZKP), speciﬁcally zk-SNARK, allowing users to verify com- putations, such as neural network operations, on both private and public data without revealing the data itself. This integration supports the secure and private execution of AI tasks within blockchain environments, notably Ethereum, and facilitates conﬁ- dential veriﬁcation for decentralized ﬁnance (DeFi) and machine learning applications, with prospects for trustless machine learning inferences and on-chain rewards.
3.1.71 Fact Protocol
Website: https://fact.technology/
One liner: Decentralized fact-checking and misinformation combat platform leverag- ing AI and blockchain technologies.
Description: Fact Protocol combines AI and blockchain technology to establish a decentralized system for combating fake news, utilizing AI-driven fact-checking and blockchain’s transparency to ensure information integrity. It leverages token incentives for community participation in verifying content, supporting scalability, privacy, and multi-chain functionality, while introducing governance features to enable community- driven project direction via FACT DAO.
3.1.72 FATE federated learning
Website: https://fate.fedai.org/
One liner: Empowering secure and eﬃcient federated learning with AI and crypto technologies.
Description: FATE is an open-source framework that enhances federated learning through the use of advanced cryptographic techniques, including partial homomorphic encryption, to secure data while allowing for computational operations on encrypted data—signiﬁcantly improving eﬃciency and reducing costs. Its integration with Intel® IPP-Cryptography libraries and focus on data privacy positions it asaneﬀective tool for deploying AI in sectors requiring strict data conﬁdentiality without centralizing sensi- tive information, demonstrating a practical fusion of AI methodologies with blockchain and cryptography principles.
3.1.73 Fellowship AI
Website: https://www.fellowship.ai/
One liner: Fellowship AI is bridging the gap between AI, blockchain technology, and digital photography through NFTs.
Description: Fellowship AI is leveraging AI and blockchain technology to transform the digital photography landscape by providing a platform for artists to mint, showcase, and manage their works as NFTs, while also oﬀering insights into blockchain best practices and sustainability measures. This initiative emphasizes the synergy between AI and crypto to innovate within the digital art sector, particularly through the use of NFTs for art representation and distribution.
3.1.74 Fetch.AI
Website: https://fetch.ai/
One liner: Fetch.AI - Democratizing AI through a Decentralized Machine Learning Platform.
Description: Fetch.AI integrates blockchain with artiﬁcial intelligence to form a de- centralized machine learning network, enabling universal access to AI through a per- missionless ecosystem. It uses autonomous software agents for economic activities such as DeFi trading and energy management, underpinned by the FET token to facilitate transactions and incentivize participation, epitomizing innovation in merging crypto with AI.
3.1.75 Filecoin
Website: https://ﬁlecoin.io/
One liner: Decentralized storage network for humanity’s most important information. Description: Filecoin is a blockchain-based network oﬀering decentralized data stor- age, utilizing its cryptocurrency, FIL, to incentivize storage space sharing, aiming to
enhance web security and eﬃciency by reducing dependency on centralized storage solutions. It integrates with the Interplanetary File System (IPFS) to optimize data storage and retrieval processes.
3.1.76 Flare Network
Website: https://ﬂare.network/
One liner: Flare Network leverages AI and blockchain to deliver decentralized, secure, and scalable data solutions.
Description: Flare Network integrates AI with cryptocurrency through its Flare Time Series Oracle (FTSO) and State Connector, oﬀering decentralized data feeds and secure, trustless data usage from various blockchains and the internet within smart contracts. This facilitates the development of AI-driven decentralized applications (dApps) and services, ensuring data integrity and broadening blockchain technology’s utility and scalability.
3.1.77 Flock.io
Website: https://ﬂock.io/
One liner: FLock.io: Revolutionizing privacy-preserving AI on blockchain with feder- ated learning.
Description: FLock.io utilizes blockchain technology to create a decentralized plat- form for AI training, where users contribute to federated learning without compromis- ing their data privacy. It rewards contributions with cryptocurrency, integrating AI development with the DeFi ecosystem and exploring advanced areas such as BTC GPT, GameFi MBTI, and Zero-Knowledge Machine Learning (ZKML), thereby melding AI’s capabilities with blockchain’s security and decentralization.
3.1.78 Flower federated learning
Website: https://ﬂower.dev/
One liner: Empowering federated learning in diverse environments through the Flower Framework, compatible with AI and blockchain.
Description: Flower enables federated learning on decentralized devices to enhance data privacy and security for AI, supporting various ML frameworks like Tensor- Flow and PyTorch for technology-agnostic implementation. Its interoperability with blockchain technologies positions it to advance privacy-preserving AI applications within decentralized ﬁnance and security, showcasing the convergence of AI and crypto through secure, decentralized data management.
3.1.79 Fluence
Website: https://ﬂuence.network/
One liner: Decentralized serverless platform & computing marketplace, leveraging blockchain for Web 3.0.
Description: Fluence is a decentralized, serverless computing platform that facilitates the development of AI-driven applications by merging blockchain technology with ar- tiﬁcial intelligence. It aims to democratize computing resources through a secure, scal- able ecosystem, underscored by a token economy, which encourages innovation at the intersection of AI and crypto, enhancing the eﬃciency and security of decentralized applications.
3.1.80 Flux
Website: https://runonﬂux.io/
One liner: Flux enables decentralized Web 3.0 applications, combining AI compute solutions, cryptocurrency, and a global computational network.
Description: Flux operates a decentralized computational network that integrates AI and crypto, utilizing its POW cryptocurrency, FLUX, to support the development and deployment of DApps with an emphasis on AI compute solutions. It introduces
FluxCore for AI computations and employs Proof of Useful Work to enhance GPU ef- ﬁciency for AI tasks, within an infrastructure boasting over 15, 000 nodes and extensive computational resources, marking it as a notable bridge between blockchain and AI technologies.
3.1.81 Fraction AI
Website: https://ae.linkedin.com/company/fraction-ai
One liner: Supercharge your AI with human-powered data at a fraction of the cost. Description: Fraction AI streamlines AI model training by providing high-quality hu- man-generated data, integrating the eﬃciency of cryptocurrency mechanisms for more
eﬀective and cost-eﬃcient AI development across multiple sectors. This approach accel- erates AI adoption andreﬁnement, particularly within the crypto industry, by ensuring the availability of optimized datasets.
3.1.82 Futureverse AI League
Website: https://www.futureverse.com/
One liner: Futureverse AI League is revolutionizing the gaming industry by merging AI-driven gameplay with collectible crypto assets in an open metaverse ecosystem.
Description: Futureverse AI League merges AI-driven sports gaming with a decen- tralized cryptocurrency framework, leveraging the Altered State Machine (ASM) Pro- tocol for the ownership, training, and exchange of AI football team assets. This inte- gration fosters strategic gameplay and asset collection within a broader metaverse and blockchain technology context, highlighting the intersection of artiﬁcial intelligence and cryptocurrency.
3.1.83 Gensyn
Website: https://www.gensyn.ai/
One liner: Decentralised machine learning compute protocol to democratize AI devel- opment.
Description: Gensyn integrates AI and blockchain technology to create a decentralized global supercluster for machine learning, facilitating peer-to-peer access to computa- tional resources and reducing reliance on major tech providers. This approach democ- ratizes AI development by enabling global device participation in AI training processes, promoting a more accessible and equitable distribution of computational power.
3.1.84 Gepetto
Website: https://eprint.iacr.org/2014/976.pdf
One liner: Geppetto enables secure, veriﬁable crypto computations with dramatic ef- ﬁciency improvements.
Description: Geppetto enhances secure computation outsourcing through the inte- gration of veriﬁable computation protocols and Multi QAPs, drastically reducing both the cost and overhead associated with generating and sharing proofs in cryptographic systems. This project merges AI and cryptographic eﬃciencies by optimizing proof gen- eration time and costs via energy-saving circuits and a scalable compiler that processes LLVM code, positioning it at the forefront of secure, outsourced computation and data sharing in the AI x Crypto space.
3.1.85 Giza
Website: https://www.gizatech.xyz/
One liner: Giza is revolutionizing the AI x Crypto space by enabling seamless inte- gration of AI with blockchain technologies.
Description: Giza combines AI and blockchain technology to enable the development and management of secure, scalable machine learning models on decentralized appli- cations, enhancing Web3 integrations with a focus on privacy through zero-knowledge proofs and optimized datasets for ML, thus advancing AI-driven solutions in the crypto space.
3.1.86 Glif
Website: https://www.glif.io/en
One liner: GLIF - Decentralized ﬁnance hub for the Filecoin ecosystem, facilitating liquid Filecoin leasing and oﬀering a suite of Filecoin infrastructure tools.
Description: GLIF merges AI and crypto within the Filecoin network, oﬀering decen- tralized ﬁnance solutions through tools such as a web wallet, multisig wallet, Filecoin nodes, an autonomous notary service, and an FEVM-enabled block explorer. Its ﬂag- ship, GLIF Pools, introduces DeFi protocols to the Filecoin ecosystem, focusing on FIL staking for increased liquidity and supporting the expansion of a decentralized storage- based open data economy through smart contracts.
3.1.87 Golem Network
Website: https://golem.network/
One liner: Decentralized Computing for Everyone
Description: Golem Network oﬀers a peer-to-peer marketplace that utilizes global, unused computing power to support AI projects and complex computations at scale, signiﬁcantly reducing dependency on centralized cloud services. By integrating its native token, $GLM, for transactions, Golem facilitates a balanced exchange between computing power providers and users, enhancing the AI x Crypto ecosystem.
3.1.88 GPU.net
Website: https://gpu.net/
One liner: Decentralized GPU infrastructure revolutionizing Generative AI, 3D, and Web3 by oﬀering computing resources for AI model training, 3D rendering, VFX, and more.
Description: GPU.net is a decentralized network providing essential GPU infrastruc- ture to address shortages and high costs in the AI sector, particularly for tasks like generative AI training, and 3D rendering, while also supporting cryptocurrency mining. It aims to democratize access to high-performance computing through services such as 3D conversion tools and an open-source LLM library, enhancing data privacy and eﬃciency in the AI x Crypto space through decentralized operations and token-based resource prioritization.
3.1.89 GPU.net
Website: https://gpu.net/
One liner: Decentralized GPU infrastructure revolutionizing Generative AI, 3D, and Web3 by oﬀering computing resources for AI model training, 3D rendering, VFX, and more.
Description: GPU.net is a decentralized network providing essential GPU infrastruc- ture to address shortages and high costs in the AI sector, particularly for tasks like generative AI training, and 3D rendering, while also supporting cryptocurrency mining. It aims to democratize access to high-performance computing through services such as 3D conversion tools and an open-source LLM library, enhancing data privacy and eﬃciency in the AI x Crypto space through decentralized operations and token-based resource prioritization.
3.1.90 GPUtopia
Website: https://gputopia.ai/beta
One liner: GPUtopia is revolutionizing the GPU market by creating a decentralized marketplace for buying and selling GPU compute power, leveraging Bitcoin transac- tions.
Description: GPUtopia is a decentralized platform that leverages the intersection of AI and cryptocurrency by enabling users to rent out or purchase GPU computing power with Bitcoin. This initiative aims to alleviate the current GPU shortage and distributecomputing resources more equitably, supporting a variety of tasks from Bitcoin mining to AI processing on a global mesh network.
3.1.91 Grass
Website: https://www.getgrass.io/
One liner: Grass: Revolutionizing AI Training with Decentralized Web Data Accessi- bility.
Description: Grass by Wynd Network is a decentralized web scraping platform that utilizes unused internet bandwidth from users to generate datasets for AI training, en- suring fair compensation through network ownership. This system leverages residential IP addresses to overcome data scraping restrictions, supporting eﬃcient AI research while prioritizing security and ethical data collection practices.
3.1.92 HeraAggregator
Website: https://twitter.com/heraaggregator?lang=en
One liner: AI-Powered Multichain Dex Aggregator oﬀering the best swap rates.
Description: HeraAggregator, operating as Hera Finance, is an AI-enhanced DEX aggregator that optimizes swap transactions across multiple chains by intelligently link- ing AMM pools, oﬀering features like best-rate access, eﬃcient large trade handling, and a zero-slippage guarantee through its Hera Guard. Additionally, it incorporates an AI-driven Vault Manager for equitable swap fee distribution within its ecosystem, positioning itself as an accessible, high-value swapping platform for DeFi users, with the HERA token facilitating governance and additional beneﬁts.
3.1.93 Humans.ai
Website: https://humans.ai/
One liner: Empowering the creation and governance of ethical AI on a scalable blockchain platform.
Description: Humans.ai merges AI and blockchain technology to enhance human po- tential ethically, leveraging a Proof of Human mechanism and AI tools for user-gener- ated projects, including the pioneering use of AI NFTs for idea security and governance on the blockchain. The ecosystem allows for diverse applications such as metaverse avatar creation and utilizes the $HEART token to fund AI innovations, all within a framework emphasizing community, transparent AI use, and ethical standards.
3.1.94 Hume
Website: https://www.wearehume.com/
One liner: Hume leverages AI & Crypto for creating and promoting virtual music ‘metastars’ in the Metaverse, redeﬁning fan-artist relationships through NFTs.
Description: Hume integrates AI and cryptocurrency to reimagine the digital music scene by developing virtual ‘metastars’ and leveraging NFTs to enable direct fan en- gagement and investment in artists’ success. This approach not only facilitates unique artist-fan relationships but also innovates in music production, consumption, and mon- etization by blending virtual performances with real-world value, highlighted by their $ 11.7 million Series A funding.
3.1.95 Hyperbolic
Website: https://hyperbolicprotocol.com/
One liner: Hyperbolic Protocol is revolutionizing DeFi through an AI-powered, 100% on-chain collateralized lending platform.
Description: Hyperbolic Protocol leverages the cutting-edge synergy of AI and blockchain technology to oﬀer a unique DeFi solution. By automating variable APRs and using Uniswap V3 Time-Weighted Average Prices (TWAPs) for collateral valuation, it provides an innovative approach for borrowers to leverage their crypto assets without selling. Investors can earn yield in ETH directly proportional to their HYPE token holdings, inﬂuenced by protocol fees generated from loan repayments and borrowing activities. Hyperbolic Protocol’s AI-driven system aims to enhance yield maximization, ensuring protocol sustainability and growth by dynamically adjusting to market con- ditions.
3.1.96 Hypercycle
Website: https://coinmarketcap.com/currencies/hypercycle/
One liner: HyperCycle is revolutionizing the blockchain and AI space with its layer 0++ architecture designed for high-speed, cost-eﬃcient AI microservices execution.
Description: HyperCycle introduces a Layer 0++ blockchain architecture optimized for eﬃcient and cost-eﬀective on-chain AI microservices, leveraging TODA/IP’s ledger- less technology and SingularityNET’s Proof of Reputation system for enhanced security and scalability. This platform aims to support decentralized AI applications, including swarm AI and decentralized ﬁnance, by improving interoperability and processing ca- pabilities across diﬀerent blockchain networks.
3.1.97 HyperOracle
Website: https://twitter.com/hyperoracle?lang=en
One liner: HyperOracle redeﬁnes smart contracts with zkOracles, integrating AI for next-gen DeFi and on-chain machine learning.
Description: HyperOracle integrates AI with cryptocurrency by enhancing smart con- tracts with Zero-Knowledge Oracles (zkOracles), facilitating the development of ad- vanced decentralized ﬁnance (DeFi) applications and on-chain machine learning. This approach, using opML for large-scale AI models on the blockchain and collaborating with Polygon CDK for deploying the zkOracle protocol, ensures decentralized, secure, and trustworthy AI-powered applications with a focus on veriﬁable transparency and on-chain execution.
3.1.98 ImgnAI
Website: https://coinmarketcap.com/currencies/image-generation-ai/
One liner: ImgnAI: Revolutionizing consumer AI with an unlimited canvas for cre- ativity.
Description: ImgnAI merges AI with cryptocurrency by introducing Nai, a versatile AI-powered text-to-image bot designed for platforms like Telegram, Discord, and a Web app, enabling users to create diverse images through text commands. This pro- ject emphasizes global accessibility, community-driven support, and a commitment to responsible content moderation, aiming to democratize access to generative AI tech- nologies.
3.1.99 Immutable X
Website: https://www.immutable.com/
One liner: Immutable X is revolutionizing Web3 gaming through scalable, secure, and eco-friendly blockchain technology.
Description: Immutable X, a layer-two scaling solution for NFTs on Ethereum uti- lizing zk-rollups, enhances scalability and reduces gas costs, enabling instant, zero-fee minting and trading of NFTs. This platform facilitates a seamless, eco-friendly ecosys- tem for gamers and developers, supporting secure and eﬃcient creation, distribution, and exchange of digital assets, while integrating with major marketplaces to improve the Web3 gaming experience.
3.1.100 Ingonyama
Website: https://www.ingonyama.com/
One liner: Ingonyama pioneers in Zero Knowledge Hardware Acceleration, redeﬁning cryptographic security from software to silicon.
Description: Ingonyama is developing the world’s ﬁrst Zero Knowledge Processing Unit (ZPU) to accelerate ZK proofs, tackling computational challenges by blending various disciplines for improved data security, scalability, and sovereignty in the ITecosystem. This eﬀort, supported by leading industry builders, aims to make ZK tech- nology more accessible and eﬃcient.
3.1.101 Innodata
Website: https://innodata.com/
One liner: Innodata leverages artiﬁcial intelligence and human expertise to solve com- plex data engineering challenges, fueling data-centric AI initiatives.
Description: Innodata integrates AI with crypto by providing AI-enabled software platforms and managed services, focusing on generating AI training data and building, maintaining, and augmenting AI and ML models. Their approach combines human- operated tools with active learning, enhancing operational eﬃciencies and impacting the AI lifecycle across diﬀerent domains.
3.1.102 Inworld
Website: https://inworld.ai/
One liner: Inworld AI revolutionizes gaming with dynamically adaptive, AI-driven NPCs, enhancing player engagement and narrative immersion.
Description: Inworld AI develops AI-driven Non-Player Characters (NPCs) for games, utilizing advanced machine learning to enable these NPCs to adapt to player behaviors and create more immersive, evolving virtual environments. This technology enhances game player engagement and developer revenue by creating deeper, interactive expe- riences, and has gained signiﬁcant investment, reﬂecting its potential impact on the future of gaming and interactive entertainment within the crypto space.
3.1.103 IORNA
Website:   https://investors.ironmountain.com/news-and-events/press-releases/press-release-details/2020/Keevo-Announces-Strategic-Partnership-with-Iron-Mountain-to-   Protect-Crypto-Currency-Users-and-Their-Heirs/default.aspx
One liner: Combining cutting-edge security and privacy for crypto asset management and inheritance through innovative hardware and strategic partnerships.
Description: IORNA, in partnership with Keevo and Iron Mountain, introduces a solution for secure cryptocurrency asset management, utilizing AI-enhanced hardware wallets with multi-factor authentication and a novel beneﬁciary service. This system, featuring the Keevo Model 1 wallet and Carbon Key™ technology, emphasizes secure, inheritance-friendly crypto asset storage, leveraging Iron Mountain’s air-gapped facili- ties for added security, thereby merging AI with crypto to enhance asset security and ease of access for owners and their heirs.
3.1.104 IOTeX
Website: https://iotex.io/
One liner: IoTeX - Connecting Real World to Web3 with a focus on empowering IoT and smart devices through blockchain technology.
Description: IoTeX is developing a blockchain platform for the Internet of Things (IoT), aiming to merge physical and digital worlds by enabling secure and decentralized IoT applications and smart devices. Their work includes a collaboration with Solana for real-time device analytics and the creation of a conﬁdential computing hardware stack, contributing to the establishment of decentralized private IoT networks essential for advancing AI within the cryptocurrency sector. This infrastructure supports decentral- izedidentities, secure hardware, and real-world data oracles like Pebble, enhancing AI’s capability to securely interact with real-world data for applications including NFTs, weather derivatives, and machine learning-powered mining.
3.1.105 IPFS
Website: https://ipfs.tech/
One liner: IPFS is revolutionizing the way data is stored and accessed, oﬀering a decentralized solution for resilient, eﬃcient, and censorship-resistant data sharing.
Description: IPFS integrates AI and crypto by providing a decentralized storage so- lution that ensures data integrity for AI applications, facilitating secure and eﬃcient data sharing and model training. Its decentralized nature supports AI-driven DeFi applications, improves resilience against censorship, and promotes cooperative model training and sharing, enhancing both AI and crypto ecosystems.
3.1.106 Iq.net
Website:   https://medium.com/@Enedyyyyy/iqnet-is-a-cryptocurrency-exchange-with-a-unique-technology-of-liquidity-pooling-976004 db 170 a
One liner: IQNET oﬀers a revolutionary liquidity pooling technology for a seamless cryptocurrency exchange experience.
Description: IQNET integrates AI with cryptocurrency through its Liquidity Ex- change Network (LEN) technology, consolidating orders from multiple exchanges into a singular order book to optimize liquidity and improve market pricing. This synergy facilitates tighter spreads, more competitive pricing, and broadens user access to crypto transactions via user-friendly desktop and mobile applications, addressing the critical issue of liquidity fragmentation in the cryptocurrency market.
3.1.107 JACKAL
Website: https://www.jackalprotocol.com/
One liner: Jackal Protocol leverages blockchain technology to oﬀer decentralized, on- chain data storage with enhanced interoperability and security.
Description: Jackal Protocol employs blockchain technology for decentralized data storage, emphasizing secure, on-chain management of data permissions and ownership through an application-speciﬁc blockchain. Its architecture promotes interoperability across ecosystems, enhancing the application of AI in crypto by ensuring secure data access and transfer for various uses, including DeFi.
3.1.108 Kaito
Website: https://www.kaito.ai/
One liner: Kaito, the ultimate Web3 Information Platform leveraging Next-Gen AI capabilities for actionable insights in crypto.
Description: Kaito leverages artiﬁcial intelligence to create a specialized search engine for the crypto sector, consolidating a wide array of data from social platforms, forums, industry research, and onchain sources for enhanced investment decision-making and market analysis. By integrating large language models with crypto-speciﬁc information, it oﬀers users quick, insightful analyses, streamlining the investment process in the dynamic digital asset market with $ 5.5 million in Series-A funding and a valuation of $ 87.5 million.
3.1.109 KingDeﬁ
Website: https://coinmarketcap.com/currencies/kingdeﬁ/
One liner: KingDeFi - A dual-role DeFi project oﬀering analytics, monitoring, and optimized yield farming on BSC and Solana.
Description: KingDeFi merges AI-driven analytics and DeFi yield optimization on the Binance Smart Chain and Solana networks, providing users with tools like a liquid- ity pool search engine and portfolio tracking while enabling earning through KROWN tokens via liquidity provision and staking. Its standout feature is an automated recom- mendation system for yield-generating platforms based on wallet contents, supported by a comprehensive dashboard of key DeFi metrics, thus serving as an analytical bridge for eﬀective DeFi strategy execution.
3.1.110 KnownOrigin
Website: https://knownorigin.io/
One liner: Discover, sell, and collect rare digital art NFTs with KnownOrigin, an innovative platform blending art with blockchain technology.
Description: KnownOrigin is an NFT platform that integrates blockchain technol- ogy with digital art, oﬀering tools like ‘Creator Contracts’ for artists to mint and selltokenized artwork directly on blockchain, thereby enhancing digital art security and marketability within the web3 ecosystem.
3.1.111 Koii Network
Website: https://www.koii.network/
One liner: Koii Network revolutionizes AI x Crypto through decentralized, commu- nity-powered data and compute sharing.
Description: The Koii Network integrates AI and blockchain technology to create a cost-eﬃcient, distributed cloud environment for AI model training and digital content creation. It uses attention-tracking NFTs for fair remuneration, leverages consumer devices for a global compute-sharing marketplace, and employs ORCA technology for supporting diverse frameworks and languages, establishing an eco-conscious and cre- ator-friendly platform for AI development in the crypto domain.
3.1.112 Kryll
Website: https://www.kryll.io/
One liner: Kryll.io - Revolutionizing Crypto Trading with Automated Strategies.
Description: Kryll.io is an AI-enhanced platform that simpliﬁes automated crypto trading by allowing users to create, share, and deploy strategies using a drag-and-drop interface with zero coding required, supported by a marketplace for renting andoﬀering strategies across major exchanges. This approach underscores the synergy between AI tools and cryptocurrency trading, making advanced techniques more accessible.
3.1.113 Kudos
Website: https://www.cudos.org/
One liner: CUDOS is a scalable blockchain that integrates cloud and blockchain for AI and Web3 applications.
Description: CUDOS integrates cloud computing with blockchain through a decen- tralized platform on the Cosmos ecosystem, oﬀering scalable solutions for AI, the meta- verse, and Web3 via a proof-of-stake Layer 1. It enables smart contracts, NFT deploy- ment, and Oracle connections through a vast user network, emphasizing sustainability with its 100% carbon-neutral operation.
3.1.114 Lasso Labs
Website: https://twitter.com/lasso_labs?lang=en
One liner: Lasso Labs is revolutionizing NFT utility by building data products for the next generation of the internet, leveraging AI and crypto.
Description: Lasso Labs has raised $ 4.2 M to merge AI and blockchain technologies, aiming to transform NFTs from speculative assets to vital components of digital identity and commerce by developing data products that enhance their utility and integration into the digital ecosystem. This approach positions them as a key player in shaping the future interaction with digital objects through advanced analysis of market trends and NFT functionalities.
3.1.115 Lilypad
Website: https://github.com/bacalhau-project/lilypad
One liner: Lilypad establishes a decentralized GPU network for running AI workloads eﬀortlessly, integrated with blockchain for transaction management.
Description: Lilypad leverages blockchain technology to allow users to conduct AI tasks on a decentralized network of GPU resources, oﬀering CLI and web interfaces for engaging with AI models and executing jobs securely through smart contracts. This platform integrates AI and crypto by enabling decentralized computing, supporting advanced AI applications, and facilitating contributions to the web3 ecosystem with potential in AI inference, machine learning, and scientiﬁc research.
3.1.116 Lindy AI Agent
Website:   https://www.reddit.com/r/singularity/comments/14u4gbi/has_anyone_ found_an_ai_tool_that is a true/
One liner: Lindy AI is advancing the forefront of AI personal assistants in the cryp- tocurrency and DeFi sectors.
Description: Lindy AI combines AI and blockchain technologies to enhance personal assistant functionalities, providing data analysis, secure storage, and tailored DeFi and cryptocurrency advice. Leveraging advanced GPT models, the project aims to stream- line complex tasks andoﬀer real-time insights in the crypto domain, under the guidance of CEO Flo Crivello.
3.1.117 Lumino AI
Website: https://www.luminolabs.ai/
One liner: Decentralized compute protocol for cost-eﬀective AI model training.
Description: Lumino AI introduces a decentralized network for machine learning model training, directly connecting AI developers with GPU compute providers to cut training costs by 50-70% and leveraging cryptographic proofs for the traceability and accountability of data and models. Its censorship-resistant framework promotes devel- oper freedom, particularly in restrictive regimes, and diminishes central control risks.
3.1.118 Luppet AI Agent
Website: https://www.digitalocean.com/community/tutorials/how-to-install-puppet-to-manage-your-server-infrastructure
One liner: Luppet AI Agent not found in the context of Crypto x AI.
Description: The ‘Luppet AI Agent’ does not appear in the intersection of AI and Cryptocurrency within top search results, which primarily reference Puppet, a server automation tool unrelated to AI x Crypto, indicating a lack of relevant information about the project in this speciﬁc context.
3.1.119 Magick
Website: https://coinmarketcap.com/currencies/magic-token/
One liner: MAGIC token powers the decentralized Treasure Metaverse - connecting games, communities, and NFTs on Ethereum’s Layer 2.
Description: MAGIC is a utility token that underpins the Treasure Metaverse—an Arbitrum-based, decentralized gaming and NFT ecosystem facilitating cross-game cur- rency usage and NFT transactions within a uniﬁed Web 3.0 environment. It functions as a key economic instrument across multiple games, including the ﬂagship Bridgeworld, to enhance user interactivity and connectivity within this digital framework.
3.1.120 Matrix AI Network
Website: https://www.matrix.io/
One liner: Matrix AI Network is pioneering the integration of AI and blockchain, stepping into a future synergized through neuroscience with Matrix 3.0.
Description: Matrix AI Network combines artiﬁcial intelligence with blockchain tech- nology to enhance transaction speed, security, and ease of use, notably with the intro- duction of Matrix 3.0, which integrates AI, blockchain, and neuroscience for a self- evolving AI platform that supports secure data handling and transparent sharing, along with democratizing access to on-chain AI resources and pioneering Avatar Intelligence (AvI), where digital and human consciousness may converge.
3.1.121 Metaﬁde
Website: https://www.metaﬁde.io/
One liner: Metaﬁde: Revolutionizing Blockchain Investments through AI-powered Analysis and Trading Tools.
Description: Metaﬁde utilizes recurrent neural networks (RNNs) to enhance DeFi by providing AI-powered trading tools, risk management strategies, and impartial digital asset ratings. It aims to improve crypto investment decisions through deep analysis and features like trade automation and asset correlation advisory, striving for a more equitable Web3 economy.
3.1.122 Metropolis
Website: https://metal.build/
One liner: Metropolis: Revolutionizing DAOs with AI-driven smart contract and gov- ernance innovations.
Description: Metropolis integrates AI with blockchain technology to improve DAO development and management, emphasizing tools for smart contract developers and a governance model based on expertise. It oﬀers advancements in Ethereum’s security, eﬃciency, and smart contract capabilities, aiming for a more inclusive and secure digital environment.
3.1.123 Mimio.ai
Website:   https://www.linkedin.com/pulse/praveena-dhanalakota-disruptive-power-mimios-next-generation
One liner: Revolutionizing personal online presence through AI-driven digital twins.
Description: MIMIO.ai utilizes AI to craft digital twins that encapsulate users’ data and narratives into interactive AI avatars, oﬀering enhanced personalized experiences in entertainment and social media, while pioneering the integration of AI and personal data to transform digital interactions.
3.1.124 Miti
Website: https://www.miti.ai/
One liner: Miti provides a natural language interface based on AI-based LLMs to all of crypto
Description: MITI oﬀers a unique certiﬁcate in Blockchain at the community college level, integrating education on distributed ledgers, smart contracts, and cryptocurren- cies, like Bitcoin and Ether, into its curriculum. This approach aims to prepare students for high-demand tech careers by merging the domains of AI and crypto technology.
3.1.125 Modulus
Website: https://www.modulus.xyz/
One liner: Modulus Labs leverages ZK-proofs to secure and verify AI on the blockchain, fostering trust in decentralized applications.
Description: Modulus Labs, emerging from Stanford University, secured $ 6.3 million in seed funding to enhance crypto security through the integration of zero-knowledge proofs (ZK-proofs) and zkML, aiming to validate AI outputs on the blockchain without compromising underlying data. This approach seeks to improve the integrity of AI- generated content, facilitate the integration of AI in web3 applications, and reduce reliance on human governance in the blockchain ecosystem, thereby increasing trans- parency and trust.
3.1.126 Morpheus AI Smart Agents
Website: https://www.morpheusai.org/
One liner: Morpheus AI Smart Agents leverages decentralized technology to make AI accessible in the Web3 ecosystem.
Description: Morpheus AI Smart Agents merges AI and blockchain to oﬀer open- source smart agents that facilitate Web3 access by enabling users to interact with the blockchain ecosystem (wallets, DApps, smart contracts) through natural language. The project utilizes a blockchain-based token, MOR, to incentivize development and contri- bution, aiming to make AI-driven Web3 functionalities accessible for mainstream use, including crypto transactions and DeFi services.
3.1.127 Mozaic
Website: https://mozaic.ﬁnance/
One liner: Empowering Yield Farming and Liquidity Strategies with AI
Description: Mozaic integrates AI into DeFi, automating and optimizing yield farm- ing and liquidity management across multiple blockchains using the LayerZero protocol, improving user experience and return potential by adapting to market changes in real time, while maintaining a focus on security and sustainability through collaborations with key technology and ﬁnancial partners.
3.1.128 MyShell
Website: https://myshell.ai/
One liner: MyShell democratizes and decentralizes the creation and staking of AI- native apps, leveraging the power of generative AI.
Description: MyShell integrates AI and cryptocurrency to facilitate the creation and interaction with AI-driven companions, leveraging generative AI models for realistic voice and video engagements. This ecosystem empowers creators to develop AI-native applications eﬃciently, rewarding innovation through DeFi and fostering a community that contributes to AI, security, and digital asset management sectors.
3.1.129 Nabu DeFi Pricing
Website: https://www.nabu.xyz/
One liner: Nabu is revolutionizing NFT and DeFi markets by providing the most trusted NFT valuation engine.
Description: Nabu combines artiﬁcial intelligence and decentralized ﬁnance to provide a sophisticated NFT valuation engine, facilitating transparency and informed decision- making in the Web3 ecosystem for protocols, funds, and auditing ﬁrms. Their platform enhances DeFi services by oﬀering insights for improved functionalities in loans, insur- ance, and rentals, supported by a team experienced in blockchain, data science, and technology.
3.1.130 NEAR
Website: https://near.org/
One liner: NEAR Protocol - A Community-Run Cloud Computing Platform That Fosters AI x Crypto Integration.
Description: NEAR Protocol is a layer-one blockchain designed for high transaction speeds, throughput, and interoperability, making it conducive for decentralized applica- tions and AI x Crypto innovations. It distinguishes itself with human-readable account names, the ‘Doomslug’ consensus mechanism for security and eﬃciency, and initiatives like FastAuth that foster a developer-focused ecosystem for projects integrating AI and cryptocurrency, such as Flux and Mintbase.
3.1.131 Network 3
Website: https://network3.io/
One liner: Network 3 builds an AI Layer 2 helping AI developers worldwide train or validate models in scale quickly, conveniently, and eﬃciently powered by Sei Network
Description: Network 3 creates a specialized AI Layer 2 to oﬀer global AI developers services for training and validating their AI models, integrating the functionalities of AI and cryptocurrency technologies.
3.1.132 Neurolanche X Labs
Website: https://twitter.com/neurolanche?lang=en
One liner: Revolutionizing the integration of blockchain and artiﬁcial intelligence in the healthcare, education, and NFT space through immersive technologies.
Description: Neurolanche X Labs combines AI and crypto through groundbreaking research in neuroscience to establish innovative applications in NFTs, virtual reality, healthcare, and education. Their notable achievements include creating Neuroverse, a VR-based, multi-chain metaverse developed with Unreal Engine 5 for educational and healthcare purposes, and the evolving Neurolauncher NFT collection, which integratespsychological and sociological dynamics into the crypto ecosystem, aiming to enhance liquidity and the value of the Polkadot and Astar ecosystems.
3.1.133 Nevermined
Website: https://twitter.com/Nevermined_io
One liner: Revolutionizing AI-commerce by providing a payment infrastructure and marketplace for AI apps, agents, and data.
Description: Nevermined focuses on creating a specialized payment infrastructure for AI-commerce, streamlining the management and processing of payments for AI developers and applications. It features a Marketplace App on Arbitrum with Smart Subscriptions that enable the monetization of AI and data assets, alongside collabora- tions that integrate web3 technologies and innovative payment systems for AI agents, enhancing the accessibility and scalability of decentralized AI-commerce.
3.1.134 Nexus Mututal
Website: https://nexusmutual.io/
One liner: Nexus Mutual uses blockchain to democratize insurance, leveraging collec- tive risk assessment and management in the DeFi space.
Description: Nexus Mutual utilizes AI and blockchain technology to oﬀer a decen- tralized mutual insurance protocol within the DeFi sector, focusing on smart contract security and risk assessment using staking pools and NXM tokens to mitigate crypto- related risks. Its eﬀectiveness in managing and responding to incidents like the Euler Finance hack underscores its signiﬁcant role in enhancing DeFi security.
3.1.135 NFPrompt
Website: https://nfprompt.io/
One liner: NFPrompt: Pioneering the intersection of AI and Crypto through AI-gen- erated NFTs.
Description: NFPrompt combines AI and blockchain technology by enabling users to transform their creative ideas into NFTs through an AI-powered Prompt Artist Platform, which is a ﬁrst in Web3. The platform supports the creation, trade, and transaction of AI-generated NFTs using its unique cryptocurrency, $cNFP, showcasing a novel integration of AI and crypto in digital art and Web3 adoption.
3.1.136 nil; Foundation
Website: https://nil.foundation/
One liner: #ERROR!
Description: #ERROR!
AI x Crypto Primer
3.1.137 Nimble Composable AI
Website: https://twitter.com/Nimble_Network/status/1750310101578342462
One liner: Nimble Composable AI aims to democratize the exchange of intelligence through a composable, permissionless AI protocol on the blockchain.
Description: Nimble Composable AI introduces a decentralized AI framework focused on composability and interoperability within the blockchain ecosystem, notably in DeFi, DePIN, and GameFi sectors. This framework allows for the combination and reuse of AI models and data, facilitating eﬃcient Ethereum transactions and oﬀering an open data economy, aiming to democratize AI application development and deploy- ment by reducing dependencies on centralized tech powers.
3.1.138 Nosana
Website: https://nosana.io/
One liner: Revolutionizing GPU cloud computing with accessible, aﬀordable compute power for AI on Solana.
Description: Nosana is developing a decentralized GPU cloud computing platform on the Solana blockchain, utilizing the $NOS token to allow users to monetize idle hard- ware and provide aﬀordable AI computation power. This approach facilitates broader access to computational resources, addressing GPU shortages and integrating AI with cryptocurrency to enhance AI process execution.
3.1.139 Numbers Protocol
Website: https://www.numbersprotocol.io/
One liner: Numbers Protocol is revolutionizing provenance and monetization of digital media in blockchain through AI integration.
Description: Numbers Protocol leverages AI and blockchain technology to improve digital media provenance and facilitate content monetization, enabling creators and AI- generated content makers to eﬃciently verify and monetize their works on its propri- etary blockchain using the NUM token for activities such as NFT minting, content-his- tory tracking, and royalty distribution, while incentivizing engagement through staking pools and rewards.
3.1.140 NumerAI
Website: https://numer.ai/
One liner: Numerai: Harnessing the power of AI and blockchain for a decentralized stock market prediction platform.
Description: Numerai merges AI with blockchain through an Ethereum-based plat- form, decentralizing ﬁnancial forecasting by rewarding data scientists with Numeraire (NMR) tokens for contributing accurate machine learning models for stock market pre- dictions. Founded in 2015, it operates as a global data science competition aimed at enhancing stock market hedging strategies via collective intelligence.
3.1.141 Oasis Network
Website: https://oasisprotocol.org/
One liner: Oasis Network is a privacy-enabled, scalable layer-1 blockchain designed for DeFi, NFTs, and a secure, privacy-focused Web3.
Description: Oasis Network is a layer-1 blockchain platform designed for Web3 ap- plications, focusing on privacy, scalability, and low costs, and supports diverse projects like DeFi, GameFi, NFTs, and the Metaverse. It integrates advanced privacy features and smart contract ﬂexibility, working with partners like Meta and BMW, to oﬀer a secure and eﬃcient environment for developing private or public decentralized applica- tions, aiming to advance data governance and privacy in Web3 ecosystems.
3.1.142 OctaSpace
Website: https://coinmarketcap.com/currencies/octaspace/
One liner: OctaSpace leverages blockchain to revolutionize distributed computing, data storage, and AI model training.
Description: OctaSpace is a distributed computing platform merging AI and crypto technology to oﬀer cloud storage, decentralized VPN services, and a CPU/GPU re- source rental marketplace, catering to AI model training, gaming, and IoT, with a focus on data privacy through its decentralization. It operates on a unique Layer 1 EVM- compatible blockchain that combines Proof-of-Work and Proof-of-Authority consensus mechanisms, aiming to improve network eﬃciency and scalability while promoting the reuse of idle computing power and enhancing its ecosystem with AI/ML tools and blockchain expansions to bolster the utility of its $OCTA coin.
3.1.143 Octra
Website: https://twitter.com/octrafoundation?lang=en
One liner: Octra - Empowering the future economy with a decentralized, secure, and private network utilizing fully homomorphic encryption and machine learning.
Description: Octra combines cryptocurrency with artiﬁcial intelligence to improve digital transaction security and data management using fully homomorphic encryption (FHE) and machine learning (ML), focusing on decentralized cloud storage that ensuresuser data privacy and security through the integration of blockchain, cryptography, and AI.
3.1.144 Onaji
Website: https://onaji.io/
One liner: Onaji leverages AI for blockchain asset market intelligence and art discov- ery in the web3 ecosystem.
Description: Onaji employs machine learning to analyze blockchain data, oﬀering trader intelligence technology for predicting market trends in digital assets, including cryptocurrencies and NFTs, thereby aiding in investment decisions. Additionally, it uses AI to enhance art discovery within the blockchain, particularly in the Tezos ecosystem, by providing search and recommendation tools, bridging the gap between creators and the community in the web3 space.
3.1.145 One Click Crypto
Website: https://www.oneclick.ﬁ/
One liner: One Click Crypto simpliﬁes DeFi investment by leveraging AI tools for yield optimization and portfolio personalization.
Description: One Click Crypto leverages AI to enhance decentralized ﬁnance by of- fering a platform that simpliﬁes yield farming across 20, 000+ DeFi pools, using AI for yield optimization and portfolio management to help users eﬃciently maximize returns with minimal eﬀort.
3.1.146 OORT
Website: https://www.oortech.com/
One liner: OORT, the decentralized cloud revolutionizing privacy, cost savings, and AI integration across global business operations.
Description: OORT integrates AI with blockchain to provide a privacy-focused de- centralized cloud service, oﬀering substantial cost savings and operational eﬃciency with a suite of AI solutions, including a generative AI agent builder. Highlighted by partnerships with Lenovo Image and endorsements from Tencent Cloud and Dell Tech- nologies, the platform is supported by a global network of over 30, 544 nodes across 109 countries, demonstrating its scalability and reliability in blending AI with crypto to enhance business operations.
3.1.147 OpenAgents
Website: https://bitcoinnews.com/adoption/openagents-earn-bitcoin-leasing-gpu-for-ai-tasks/
One liner: Revolutionizing the AI x Crypto space by monetizing GPU power for Bit- coin rewards.
Description: OpenAgents, formerly GPUtopia, is a decentralized marketplace that enables users to earn Bitcoin by contributing their idle GPU power for AI computa- tional tasks. It leverages the Bitcoin and Lightning Network to facilitate a cost-eﬀective platform for AI services, aiming to build a community-driven ecosystem for the devel- opment, use, and promotion of AI agents, rewarding participants in Bitcoin for their contributions across the AI agent lifecycle.
3.1.148 OpenOrigins
Website: https://www.openorigins.com/
One liner: Empowering organizations to secure and validate digital media against synthetic alteration through advanced cryptography and AI-driven veriﬁcation.
Description: OpenOrigins combines artiﬁcial intelligence and blockchain technology to enhance the security and validation of digital media, ensuring the authenticity and integrity of content across various industries by utilizing a blockchain-secured, tamper- proof database to protect against synthetic content and verify the origin and unaltered status of media archives.
3.1.149 Optic.xyz
Website: https://twitter.com/Optic_xyz
One liner: Optic is revolutionizing the NFT space by enhancing trust and safety using AI technology.
Description: Optic.xyz is developing an AI engine to authenticate and secure NFTs by processing millions of tokens daily for potential counterfeit or copyright issues, aiming to enhance trust and safety in the digital marketplace. With $ 11 million in seed funding, the company provides a Marketplace Moderation tool for platforms like OpenSea and plans to oﬀer a public API and additional tools for Web3 developers, NFT creators, and collectors, targeting systemic fraud and trust challenges in the ecosystem.
3.1.150 Oraclize
Website:   https://medium.com/coinmonks/using-apis-in-your-ethereum-smart-contract-with-oraclize-95656434292 e
One liner: Oraclize serves as a bridge to securely integrate real-world data into blockchain smart contracts, enhancing DeFi and other blockchain applications with external APIs.
Description: Oraclize serves as a bridge between blockchain oracles and decentral- ized ﬁnance (DeFi) by integrating oﬀ-chain data, such as ﬁnancial market APIs and weather information, into on-chain smart contracts. This integration ensures that DeFi platforms and other blockchain applications can operate with real-time, accurate data without sacriﬁcing security or decentralization, thus enabling a variety of trustless in- teractions with real-world data.
3.1.151 Oraichain
Website: https://coinmarketcap.com/currencies/oraichain-token/
One liner: Oraichain - the world’s ﬁrst AI-powered oracle and ecosystem for blockchains, striving to become the foundational AI Layer 1.
Description: Oraichain integrates artiﬁcial intelligence with blockchain technology to serve as the ﬁrst AI-powered oracle, enhancing smart contracts and decentralized applications (DApps) by supplying AI-veriﬁed data and aiming to become a pivotal AI-centric Layer 1 blockchain. It oﬀers a diverse ecosystem including AI-driven services such as an AI Marketplace, on-chain Veriﬁable Random Function (VRF), and AI-en- abled NFT generation, aimed at advancing the functionality and interoperability of smart contracts and DApps.
3.1.152 Orboﬁ AI
Website: https://www.orboﬁ.com/
One liner: Orboﬁ AI, the ultimate AI engine for web3, games, apps, and online com- munities, empowering AI-generated content creation on the blockchain.
Description: Orboﬁ AI facilitates the decentralization of AI-generated content pro- duction and monetization in web3, gaming, and online communities by allowing users to create, deploy, and monetize AI agents and assets, including 2D game assets and concept art, for crypto payments, supported by its native token, OBI. This ecosystem not only serves as a marketplace but also aims to enhance human creativity by enabling the establishment of virtual factories for consistent asset production, evidenced by its adoption by over 40, 000 users in the web3 space.
3.1.153 Origin Trail
Website: https://origintrail.io/
One liner: OriginTrail - Empowering veriﬁable, AI-ready Knowledge Assets in a de- centralized knowledge graph.
Description: OriginTrail integrates blockchain and AI to oﬀer a Decentralized Knowl- edge Graph (DKG) that ensures the integrity and provenance of data, enhancing AI capabilities by providing access to a veriﬁed information network. This amalgamation aims to improve the eﬃciency and reliability of AI agents across various industries by establishing a secure, trustworthy foundation for data creation, veriﬁcation, and querying.
3.1.154 ORT AI Agents
Website:   https://www.coindesk.com/consensus-magazine/2023/06/12/10-ways-crypto-and-ai-can-make-each-other-better-or-maybe-worse/
One liner: ORT AI Agents embody the fusion of decentralized blockchain technologies with advanced artiﬁcial intelligence to innovate and secure the crypto landscape.
Description: ORT AI Agents integrate artiﬁcial intelligence and blockchain technol- ogy to enhance data analysis, model training, and application development in decen- tralized ﬁnance (DeFi) and security protocols. Utilizing the strengths of both AI in data processing and blockchain in security and transparency, this project seeks to improve eﬃciency and user empowerment in the crypto ecosystem.
3.1.155 PAAL.AI
Website: https://paalai.io
One liner: Harnessing AI and Ethereum blockchain to revolutionize proﬁt sharing and community engagement.
Description: PAAL.AI merges advanced AI technologies, such as natural language understanding and image recognition, with the Ethereum blockchain, oﬀering token- based incentives like proﬁt sharing and discounts on services. This integration facili- tates automated tasks usually requiring human intelligence, while enabling features like governance voting and staking for interest, showcasing a novel application of AI within the crypto ecosystem.
3.1.156 Phala Network
Website: https://phala.network/
One liner: Phala Network is a privacy-preserving, oﬀ-chain compute platform for blockchains, leveraging AI and Secure Enclaves (TEEs) for secure, decentralized appli- cations.
Description: Phala Network is a decentralized platform that integrates AI with blockchain through trusted execution environments like Intel SGX, enhancing the pri- vacy and security of Web3 applications. It introduces ‘Phat Contracts’ for secure oﬀ- chain computing and aims to reduce trust dependencies in blockchain with features such as a trustless MEV ecosystem and AI-enhanced functionalities, focusing on scal- ability, interoperability, and privacy.
3.1.157 Pixelynx
Website: https://pixelynx.io/
One liner: Pixelynx is pioneering the integration of AI and blockchain in the music industry.
Description: Pixelynx integrates AI and blockchain technology to transform the dig- ital music industry, facilitating a novel ecosystem that enriches artist-fan interactions and introduces alternative revenue models by leveraging crypto innovations.
3.1.158 Pixia
Website: https://coinmarketcap.com/currencies/pixiaai/
One liner: PixiaAI combines AI-generated art creation with NFT collection manage- ment and token staking for a comprehensive blockchain experience.
Description: PixiaAI combines AI technology with crypto to allow users to generate art, create and trade NFT collections, and customize staking contracts, oﬀering en- hanced eﬃciency and proﬁtability through personal NFT staking smart contracts on platforms like OpenSea. The project utilizes AI for developing and managing digital assets, integrating closely with the crypto ecosystem by providing tools for adjusting creator fees, APRs, and token rewards.
3.1.159 PLAI Labs
Website: https://plailabs.com/
One liner: PLAI Labs: Democratizing AI through entertainment, social engagement, and digital ownership in the crypto realm.
Description: PLAI Labs, co-founded by Chris DeWolfe and Aber Whitcomb, lever- ages the synergy between AI and crypto to develop decentralized social platforms and Web3 games, such as the NFT and AI-enhanced MMORPG, Champions Ascension. With $ 32 M in seed funding from prominent investors like a16z, the company aims to pioneer in crafting AI-integrated, blockchain-based gaming experiences that promote digital ownership and community engagement.
3.1.160 Playrix
Website: https://www.podcastgameconsultant.com/tag/playrix/
One liner: AI-powered analytics and personalized content delivery in crypto gaming. Description: The Playrix project, while primarily noted for mobile gaming, has the potential to intersect AI and crypto by employing AI for data analytics to tailor player
experiences and utilizing blockchain for secure in-game transactions, possibly enablingenhanced engagement and novel play-to-earn opportunities through the integration of data-driven strategies and blockchain’s security.
3.1.161 Polywrap
Website: https://www.polywrap.io/
One liner: Empowering peer-to-peer protocols with AI agents for seamless web3 inte- gration and interaction.
Description: Polywrap combines AI with cryptography to enhance peer-to-peer pro- tocol use in the crypto space, streamlining interactions and integrations for developers and users in web3 through projects like evo.ninja, and Unblock, which leverage AI for better usability and practical blockchain application. The initiative also aims to foster a global community around web3 agents that serve practical, societal needs.
3.1.162 Pond Discoveries
Website: https://news.yahoo.com/cube-shaped-creature-24-eyes-200534529.html
One liner: A legendary crypto journey unfolds with Pond Coin in a world where AI meets Crypto.
Description: Pond Discoveries combines AI and crypto through the narrative of ‘The Mystery of Pond Coin’, where characters explore AI-driven challenges and crypto con- cepts while uncovering the potential of the Pond Coin in a mystical forest setting. This digital tale aims to educate on blockchain and AI technologies through engaging storytelling.
3.1.163 Powerloom
Website: https://powerloom.io/
One liner: Powerloom: The Composable Data Network revolutionizing Web3 with Decentralized Finance (DeFi) and Data Availability.
Description: Powerloom is developing a blockchain and AI-powered composable data network aimed at enhancing Web3 applications by enabling developers to build sophis- ticated data applications and improve DeFi experiences through decentralized, consen- sus-based data snapshotting and aggregation. Its alpha-stage product, Boost, facilitates the customization and access to datapoints across EVM chains, promoting a shift to- wards decentralized data accuracy and security, supported by a recent $ 3.1 M funding round to advance cross-chain logic and applications.
3.1.164 Privasea
Website: https://www.privasea.ai/
AI x Crypto Primer
One liner: Privasea: Revolutionizing data privacy and security through Fully Homo- morphic Encryption (FHE) on the blockchain, powered by AI and incentivized with $PRVA tokens.
Description: The Privasea AI Network integrates Fully Homomorphic Encryption (FHE) with blockchain technology to enable secure, encrypted machine learning infer- ences on private datasets, facilitating privacy-compliant data sharing and collaboration within the AI sector. It utilizes a blend of Proof-of-Work and Proof-of-Stake mecha- nisms, incentivized through $PRVA tokens, to ensure eﬃcient and secure data process- ing, aiming to bolster AI development without compromising data privacy.
3.1.165 Privid
Website: https://help.crypto.com/en/articles/3704243-how-to-become-a-crypto-com-private-member
One liner: Privid does not have a direct association with a speciﬁc Crypto x AI project based on the provided web search results.
Description: Based on available search results, there is no clear evidence of a project named Privid that directly combines AI and Crypto technologies. The search mainly yields results related to Crypto.com’s private membership beneﬁts, with no explicit connection to a combined AI x Crypto initiative under the name Privid.
3.1.166 PublicAI
Website: https://csrc.nist.gov/Projects/crypto-publication-review-project
One liner: Analyzing the regulatory landscape for crypto assets and its implications for AI integration.
Description: The project explores the integration of Artiﬁcial Intelligence (AI) with cryptocurrency within regulatory frameworks, emphasizing data analysis to navigate the regulatory challenges and opportunities identiﬁed by the International Monetary Fund for promoting economic stability and responsible development in the AI x Crypto ecosystem.
3.1.167 Pulsr
Website: https://www.pulsr.ai/
One liner: AI-powered discovery platform for onchain artists and collectors.
Description: Pulsr integrates AI with the cryptocurrency sector, focusing on DeFi and art NFTs, to streamline the discovery and connection process between artists and collectors across blockchains like Ethereum, Tezos, and Polygon. It employs AI toreﬁne and personalize the exploration of various art NFT categories, improving user interac- tion and experience within the digital art space.
3.1.168 Qna3
Website: https://qna3.ai/
One liner: Qna3: Revolutionizing knowledge sharing through AI-powered intelligence on the Blockchain.
Description: Qna3 is a platform that merges AI and cryptocurrency to enhance knowledge exchange in the blockchain realm, employing AI for eﬃcient information curation and incentivization mechanisms like ‘Computility Mining’ and ‘Vote to Earn’ to foster active community participation in the evolving landscapes of DeFi and related technologies.
3.1.169 Quest Labs
Website: https://twitter.com/quest labs
One liner: Quest Labs specializes in AI-powered user experiences to boost in-app adoption, engagement, and revenue.
Description: Quest Labs combines AI with Crypto to enhance software applications, focusing on improving user adoption, engagement, and revenue through AI-driven per- sonalized insights and intelligent UI components. Their platform supports rapid exper- imentation and data integration, aimed at SaaS founders, to accelerate development and optimize user journeys.
3.1.170 Ready Player Me
Website: https://readyplayer.me/
One liner: Ready Player Me is intertwining AI and Crypto to revolutionize virtual identity and asset ownership in the Metaverse.
Description: Ready Player Me employs AI, notably Stable Diﬀusion, for crafting cus- tomizable avatars that enhance user experiences across multiple virtual environments by oﬀering AI-driven personalization. Integrating with Ethereum-based blockchain platforms like Somnium Space, the project enables these avatars to interact within to- kenized virtual spaces, marking a distinct blend of AI and cryptocurrency technologies.
3.1.171 Reclaim Protocol
Website: https://www.reclaimprotocol.org/
One liner: Reclaim Protocol - Revolutionizing identity and reputation veriﬁcation through cryptographic proofs without compromising user privacy.
Description: Reclaim Protocol integrates AI and blockchain technology to provide a secure, private veriﬁcation system for users’ identities and reputations online, utiliz- ing zero knowledge proofs and digital signatures to facilitate decentralized applications such as DeFi and KYC without compromising sensitive information. Its SDK enables connections from over 200 websites, enhancing user experiences through veriﬁed online behavior while preserving privacy.
3.1.172 Render Network
Website: https://rendernetwork.com/
One liner: Render Network is a decentralized GPU rendering network, revolutionizing 3D content creation and AI with blockchain technology.
Description: Render Network oﬀers a blockchain-based platform that connects 3D artists and studios with GPU owners to provide scalable and eﬃcient rendering and AI computational resources. Operating on the Ethereum blockchain, the project focuses on enhancing AI-driven content creation and rendering for various applications including media, gaming, and medical, by utilizing decentralized GPU computing power.
3.1.173 Rinzo
Website: https://twitter.com/rinzo?lang=en
One liner: The Renzo Protocol augments Ethereum staking by securing Actively Val- idated Services for enhanced yields.
Description: The Renzo Protocol aims to enhance Ethereum’s staking ecosystem by interfacing with EigenLayer, focusing on elevating yield opportunities through Actively Validated Services within DeFi and Liquid Staking on the Ethereum Mainnet. It uti- lizes a blend of blockchain technology and AI to optimize and proﬁtably streamline staking operations.
3.1.174 Risc 0
Website: https://www.risczero.com/
One liner: Democratizing Zero-Knowledge technology for enhanced security and eﬃ- cient computation across blockchains.
Description: Risc 0 introduces a unique blend of AI and cryptocurrency by leveraging Zero-Knowledge (ZK) proofs through its Bonsai technology, a decentralized proving engine designed to enhance security and enable complex computations on blockchain technology. This project oﬀers a scalable, privacy-focused framework for DeFi and blockchain applications, allowing for the execution of arbitrary Rust code in a secure, veriﬁable manner without compromising private data.
3.1.175 Ritual
Website: https://ritual.net/blog/introducing-ritual
One liner: Ritual, merging cryptography and AI to revolutionize access and innova- tion in AI models on the blockchain.
Description: Ritual aims to decentralize AI by creating a distributed network where AI model creators can host their models for unrestricted access, backed by crypto- graphic integrity and privacy. It bridges AI with blockchain through its Infernet, al- lowing smart contracts to utilize AI for various applications, targeting to integrate AI functionalities as a core component of the web3 ecosystem.
3.1.176 rnor
Website:   https://www.reddit.com/r/personalﬁnanceindia/comments/15hwkgo/rnor_status_for_returning_us_nri/
One liner: Addressing the unique challenges and solutions for taxing and regulating crypto assets.
Description: The project focuses on utilizing AI to improve the enforcement of tax and regulatory compliance within the cryptocurrency sector by employing advanced data analysis techniques for identifying, classifying, and monitoring crypto transac- tions. This approach leverages AI’s capacity to navigate the pseudonymous and rapidly evolving nature of crypto markets, aiming to detect tax evasion and ensure adherence to regulations.
3.1.177 RoboNet
Website: https://www.robonet.wiki/
One liner: RoboNet bridges AI and Crypto by oﬀering a large-scale open database for robotic learning and AI-powered DeFi vault strategies.
Description: RoboNet integrates robotics AI with cryptocurrency by providing an extensive database for robotic learning and AI-driven DeFi strategies. It oﬀers over 15 million video frames for AI training in robotics and employs advanced machine learning to automate and optimize ﬁnancial strategies for a diverse range of assets, demonstrat- ing the practical fusion of AI capabilities with cryptocurrency dynamics.
3.1.178 SapienAI
Website: https://www.linkedin.com/in/trevorkoverko
One liner: SapienAI leverages the intersection of AI and crypto to innovate within the Web3 space.
Description: SapienAI, led by Trevor Koverko, specializes in merging artiﬁcial intelli- gence with cryptocurrency to advance blockchain technologies and improve the crypto ecosystem, emphasizing the creation of secure, transparent, and eﬃcient solutions at the intersection of AI and Web3.
3.1.179 Sardine
Website: https://www.sardine.ai/
One liner: Sardine is revolutionizing fraud prevention and compliance in the cryp- tocurrency space with AI-driven solutions.
Description: Sardine employs machine learning and generative AI to enhance fraud prevention and compliance for the crypto and ﬁntech industries, ensuring secure, instant transactions by analyzing device intelligence and behavior biometrics. This AI-driven approach, in collaboration with BitPay, facilitates direct cryptocurrency purchases from bank accounts, aiming to mitigate systemic risks and foster trust in digital currency exchanges by accurately identifying fraud and improving transaction safety.
3.1.180 Serp AI
Website: https://twitter.com/serpperpetual?lang=en
One liner: DipSway oﬀers an AI-driven cryptocurrency trading platform enabling both new and experienced traders to automate and optimize their trading strategies.
Description: DipSway merges AI and cryptocurrency to provide an AI-powered trad- ingbot designed for real-time, automated trading based on market analysis, targeting a wide user base with a focus on low-risk strategies and education. The platform ensures high security for users’ accounts and assets, making crypto trading more accessible and intelligible through a user-friendly interface and AI-driven insights into market volatility.
3.1.181 Shoggoth
Website: https://braddelong.substack.com/p/now-is-this-winter-of-our-crypto
One liner: Shoggoth Network facilitates decentralized AI by enabling the sharing of AI resources over a P2P network.
Description: The Shoggoth Network is designed as a decentralized platform utilizing blockchain to facilitate the dissemination and collaborative development of AI resources such as papers, datasets, code, and models through a peer-to-peer network. It employs Git for resource management, promoting global access and innovation in AI by stream- lining the sharing process among developers, researchers, and enthusiasts.
3.1.182 Sia
Website: https://coinmarketcap.com/currencies/siacoin/
One liner: Decentralized cloud storage platform using blockchain technology.
Description: Sia combines AI and blockchain to provide a decentralized cloud storage platform that uses its native Siacoin for transactions, focusing on privacy and security by distributing encrypted ﬁles across multiple nodes, which ensures data safety, avail- ability, and censorship resistance.
3.1.183 SingularityNET
Website: https://singularitynet.io/
One liner: SingularityNET is a decentralized marketplace for AI services, facilitating the creation, sharing, and monetization of AI technologies.
Description: SingularityNET merges artiﬁcial intelligence and blockchain to establish a decentralized marketplace for AI services and algorithms, facilitated by the AGIX token used for transactions and governance. It aims to become the Internet’s Knowl- edge Layer by integrating Knowledge Graphs with generative AI, contributing to the development of advanced AI systems, with notable contributions from Dr. Ben Goertzel and connections to the AI robot, Sophia.
3.1.184 Sommelier
Website: https://www.sommelier.ﬁnance/
One liner: Sommelier is a non-custodial, cross-chain DeFi platform leveraging AI for automated yield optimization.
Description: Sommelier combines AI and cryptocurrency through a decentralized ﬁ- nance (DeFi) platform that optimizes yields and manages risks in non-custodial, cross- chain ‘Cellars’ using AI strategies and oﬀ-chain computation. It leverages its own blockchain and machine learning to execute complex DeFi strategies across blockchains eﬃciently, while emphasizing security, decentralization, and community-driven gover- nance through SOMM token holder voting.
3.1.185 Sovrn.art
Website: https://www.sovrn.art/
One liner: Sovrn.art, pioneering the nexus of AI, blockchain art, and DeFi through sovereign artistic expression and curated digital collections.
Description: Sovrn.art is a platform combining AI and cryptocurrency to redeﬁne digital art creation and ownership, giving artists full control over their contracts and ownership rights, including royalties. It specializes in curated AI-enabled and crypto- supported art drops, emphasizing collaboration and the use of AI for generating dis- tinctive art narratives and collections, spearheaded by co-founder Pindar Van Arman. This ecosystem supports the integration of generative art with AI innovation, under- lining the role of blockchain technology in transforming art distribution and ownership.
3.1.186 SpacePort
Website: https://www.spaceport.xyz/
One liner: SpacePort - The democratized open IDO platform launching crypto pro- jects to success.
Description: SpacePort combines AI and blockchain technology to oﬀer a secure and open IDO platform, enhancing project fundraising by automating launch processes with a Smart Contract Factory and providing comprehensive pre-launch support. It safeguards investors against market risks and ensures equitable IDO access through a fully on-chain approach, aiming at transparency and fairness in the DeFi ecosystem.
3.1.187 Spectral
Website: https://www.spectral.ﬁnance/
One liner: Spectral: Powering the Inference Economy with Decentralized Machine Intelligence for Web3
Description: Spectral integrates AI and cryptocurrency by deploying a Machine In- telligence Network that uses zero-knowledge proofs to verify machine learning infer- ences for direct consumption through smart contracts, aiming to enhance the DeFi and blockchain spaces. It fosters a decentralized community of data scientists to solve complex Web3 challenges, securing models through validators and promoting a self- sustaining ecosystem with a revenue-sharing model that incentivizes high-quality, un- biased model development for smart contract applications.
3.1.188 Sphere AI Agents
Website: https://twitter.com/RollmanMining/status/1750240075433083185
One liner: Revolutionizing the Crypto Sphere through Advanced AI Technology.
Description: Fetch.AI integrates AI with cryptocurrency through a Multi-Agent Sys- tem (MAS), enabling Autonomous Economic Agents (AEA) to improve task eﬃciency and reduce costs by removing the need for intermediaries, with the goal of automat- ing and transforming various sectors. Meanwhile, Sphere 3D’s acquisition of NuMiner NM 440 machines signals a move towards becoming a leading carbon-neutral bitcoin miner, emphasizing the convergence of AI and cryptocurrency in advancing sustainable, decentralized ﬁnance and secure blockchain technology.
3.1.189 Spice AI
Website: https://spice.ai/
One liner: Spice.ai accelerates the development of next-gen intelligent software with a focus on leveraging web3 data through AI.
Description: Spice.ai streamlines the development of AI-driven applications in the crypto and web3 sectors by providing a backend-as-a-service that includes time-series data management, custom ETL processes, and ML model training and inferencing, all optimized for petabyte-scale data in web3 development. It reduces the need for deep data science expertise, facilitating the creation of innovative apps across DeFi, security, and AI agents, thereby advancing the integration of AI with blockchain technologies.
3.1.190 SpruceID
Website: https://spruceid.com/
One liner: SpruceID: Enabling user-controlled identity and data across digital inter- actions, fostering a privacy-forward ecosystem in the blockchain space.
Description: SpruceID combines AI and blockchain technologies to oﬀer a framework for secure and eﬃcient management of digital credentials, emphasizing user privacy and control. It supports decentralized identity solutions in AI applications, enabling secure, user-managed identity veriﬁcation and facilitating trusted digital interactions through features like “Sign-In with Ethereum” for improved interoperability and user experience.
3.1.191 StackOS
Website: https://www.stackos.io/
One liner: StackOS is a decentralized cloud (DeCloud) protocol for Web3, enabling deployment of apps, DApps, blockchain nodes, and more, seamlessly integrating blockchain technology with decentralized compute resources.
Description: StackOS is a decentralized cloud platform that simpliﬁes the deployment of applications and blockchain nodes across multiple blockchains (including BSC, Poly- gon, Neo, and Avalanche) through a no-code interface and shell access to Kubernetes clusters, leveraging the STACK token for transactions and governance, allowing users to engage in decision-making and operate as cluster managers.
3.1.192 Stelia Connectivity
Website: https://uk.linkedin.com/company/stelia-io
One liner: Stelia Connectivity: Empowering the AI x Crypto space with ultra-low latency, high-capacity networking solutions.
Description: Stelia Connectivity is developing the world’s ﬁrst Tier 1 AI network backbone tailored for hyperscale AI and Crypto demands, oﬀering an elastic, high-speed network that enables eﬃcient AI model training, inference, and blockchain operations. Their network, enhanced through strategic partnerships, provides agile and scalable connections essential for deploying large language models and supporting the growth of AI and blockchain technologies.
3.1.193 Storj
Website: https://www.storj.io/
One liner: Storj is revolutionizing cloud storage with a decentralized, secure, and en- vironmentally sustainable platform.
Description: Storj is an open-source, decentralized cloud storage platform, using blockchain technology to enhance security, privacy, and cost-eﬃciency. Its global net- work of distributed nodes encrypts and disperses data, oﬀering a sustainable and secure storage solution particularly suited for AI development, with its S 3 compatibility em- phasizing its utility in the AI x Crypto domain.
3.1.194 TACEO
Website: https://www.theblock.co/post/251178/nil-foundation-taceo-ethereum
One liner: TACEO: Empowering veriﬁable machine learning models on Ethereum with privacy-preserving technologies.
Description: TACEO integrates AI and crypto by merging machine learning with Ethereum blockchain using zero-knowledge proofs, ensuring model validation without external trust. This initiative, a collaboration between the Nil Foundation and TACEO, aims to authenticate machine learning models directly on Ethereum’s blockchain, en- hancing data privacy and enabling secure, provable ML applications within smart con- tracts across various sectors. Additionally, by focusing on decentralized private compu- tation, TACEO addresses data ownership and privacy concerns, marking a signiﬁcant step towards secure, private data computation in decentralized applications.
3.1.195 TestMachine
Website: https://testmachine.ai/
One liner: AI-powered blockchain security for smart contract vulnerability detection and resolution.
Description: TestMachine combines AI and blockchain technology to improve security across various blockchain platforms, including Ethereum and Binance, by oﬀering tools for the early detection and resolution of vulnerabilities in smart contracts. It integrates with developer workﬂows to provide real-time security analysis, optimization, testing, and detailed reports, leveraging AI for enhanced threat identiﬁcation and mitigation.
3.1.196 The Culture DAO
Website: https://etherscan.io/token/0xb44a59d72cb84a2f29cd1836734208e1860798fd
One liner: The Culture DAO leverages $CULTUR tokens to blend AI, blockchain, and the metaverse, creating a decentralized, collaborative space for virtual beings.
Description: The Culture DAO introduces a social token, $CULTUR, at the Virtual Beings Summit, blending AI-driven character development with blockchain’s decen- tralized structures through a token-based DAO. This initiative facilitates collaborative creation and interaction with virtual beings within the metaverse, where token holders have both a stake and a say, aiming to democratize the evolution of digital personas and storytelling akin to a decentralized ‘Web 3 Pixar’.
3.1.197 The Graph
Website: https://thegraph.com/
One liner: The Graph is a decentralized protocol for indexing and querying data from blockchains, facilitating the creation of decentralized applications with eﬃcient data retrieval.
Description: The Graph integrates AI to index blockchain data eﬃciently, creating open APIs (subgraphs) that facilitate the development of responsive DApps across various sectors like DeFi, NFTs, and DAOs. This decentralized platform leverages a global community for network maintenance and data integrity, enhancing access and usability of blockchain data for developers.
3.1.198 Theta Fuel
Website: https://www.thetatoken.org/
One liner: Theta Fuel powers the Theta blockchain—the engine for decentralized video streaming, AI processing, and entertainment.
Description: Theta Fuel (TFUEL) serves as the operational ‘gas’ for the Theta blockchain, playing a critical role in transaction execution and smart contract opera- tions. Unique to Theta is its integration of blockchain with video streaming and AI, particularly through its Theta EdgeCloud platform, which utilizes a decentralized net- work to improve the delivery and cost-eﬃciency of video and AI services, thereby ad- vancing the Web3 infrastructure landscape.
3.1.199 Theta Network
Website: https://www.thetatoken.org/
One liner: Theta Network: The decentralized infrastructure for video, AI, and enter- tainment.
Description: Theta Network is a decentralized video streaming platform utilizing blockchain to incentivize bandwidth sharing, integrated with AI algorithms for en- hanced content delivery and viewer experience. It oﬀers a Web3 infrastructure supporting diverse applications, including NFTs with DRM, and is validated by major enterprises like Google, Samsung, and Sony, showcasing its application of AI in the crypto space for entertainment and more.
3.1.200 Together AI
Website: https://www.together.ai/
One liner: Accelerating the integration of generative AI models into crypto through innovative cloud platforms, research, and optimizations.
Description: Together AI utilizes cutting-edge AI research to enhance the eﬃciency and speed of generative AI applications within the blockchain and crypto sphere, by leveraging technologies like Cocktail SGD and FlashAttention for up to 9 x faster train- ing of large language models. This improvement not only fosters cost savings but also ampliﬁes performance, particularly for AI x Crypto projects, backed by accessible, op- timized APIs for quick deployment and initiatives like the open-source RedPajama project to promote AI technology democratization.
3.1.201 Unstoppable Domains
Website: https://unstoppabledomains.com/
One liner: Unstoppable Domains: Bridging Identity and Ownership in the Web3 World with Crypto-Based Domain Names.
Description: Unstoppable Domains integrates blockchain technology with digital iden- tity to provide crypto-based domain names, enabling decentralized identity veriﬁcation and management. The project promotes user control over digital identities, streamlines crypto transactions with readable names, and supports AI advancements in identity veriﬁcation and fraud detection, oﬀering a wide range of domain extensions for diverse Web3 applications without renewal fees.
3.1.202 Upshot
Website: https://upshot.xyz/
One liner: Revolutionizing DeFi with decentralized, scalable, and self-improving AI network powered by Proof of Alpha.
Description: Upshot integrates artiﬁcial intelligence with decentralized ﬁnance (DeFi) via a decentralized AI network that uses a ‘Proof of Alpha’ protocol to encourage the contribution and use of collective intelligence, enhancing the network’s self-improve- ment capabilities. Its platform oﬀers AI-driven DeFi applications and ensures secure, unbiased outcomes with zkML and cryptographic veriﬁcation, promoting global inno- vation in AI within DeFi.
3.1.203 VFchain
Website: https://ieeexplore.ieee.org/document/9321132
One liner: VFChain leverages blockchain to enhance federated learning for secure and eﬃcient AI model training over distributed networks.
Description: VFChain enhances federated learning’s security by integrating blockchain for a transparent, veriﬁable, and eﬃcient AI model training across decentral- ized networks. It employs a blockchain-recorded committee for model aggregation and authenticated data structures to improve proof search and secure committee changes, demonstrating its eﬀectiveness through experiments with deep learning models on real- world datasets.
3.1.204 WorldCoin
Website: https://worldcoin.org/
One liner: WorldCoin integrates AI to create a privacy-preserving global identity net- work, enhancing access to a human-centric global economy.
Description: WorldCoin combines artiﬁcial intelligence and blockchain to establish a global identity and ﬁnancial network through a privacy-centric AI-enabled veriﬁca- tion system (World ID), employing multispectral sensors and zero-knowledge proofs to ensure anonymous yet unique human identiﬁcation. It aims to democratize global economic participation by distributing WLD tokens, exhibiting over 3 million sign-ups across 120 countries, to integrate human identity into digital infrastructure securely.
3.1.205 Zama
Website: https://www.zama.ai/
One liner: Zama oﬀers Fully Homomorphic Encryption (FHE) solutions for blockchain and AI, prioritizing data privacy and security.
Description: Zama, an open-source cryptography ﬁrm, merges blockchain technology with artiﬁcial intelligence using Fully Homomorphic Encryption (FHE) to enable the processing of data in its encrypted state, enhancing privacy and security across online sectors such as cloud services and blockchain smart contracts. Their development of advanced tools like TFHE-RS and CONCRETE ML facilitates privacy-preserving ma- chine learning and conﬁdential smart contracts, establishing their role in advancing FHE mainstream adoption.
3.1.206 zkHoldem
Website: https://zkholdem.xyz/
One liner: zkHold’em: The decentralized Texas Hold’em experience leveraging blockchain and ZK technology for fairness and privacy.
Description: zkHold’em integrates blockchain and zero-knowledge proofs (zk- SNARKs) to deliver a decentralized, on-chain Texas Hold’em experience that ensures privacy and fairness through secure card shuﬄing and dealing, while enabling person- alization via NFTs and ENS for an enhanced Web3 experience. The project leverages transparent, on-chain recording for auditability, fostering a community through social engagement and feature contributions.
致谢
感谢 Arbion Halili 为本文件的撰写、排版和编辑做出的巨大贡献。
感谢以下人士提供的反馈意见和讨论，这些意见和讨论为本报告的撰写提供了帮助：Sandeep Nailwal（Polygon 联合创始人）、Harry Grieve（Gensyn 联合创始人）、Dima Romanov（LayerN 联合创始人）、Mohamed Fouda（AllianceDAO）、Oliver Turn-bull（牛津大学博士研究员）、Altan Tutar（NEAR Protocol）、DCBuilder（WorldCoin 撰稿人）、Pim & Bram van Roelen（Maven 11）、Justin McAfee（1kx）、Rahilla Zafar（Stability A A）、AllianceDAO（AllianceDAO）、AllianceDAO（AllianceDAO）。Bram van Roelen (Maven 11)、Justin McAfee (1kx)、Rahilla Zafar (Stability AI)、Raphael Doukhan (Giza)、Jack Chong (Checker Finance)、Yarco Haydek (Pragma)、Piotr Saczuk (AlephZero)、Will Robinson (AllianceDAO)、Illia Polosukhin (NEAR 联合创始人)、David Ma (AllianceDAO)、Nick Emmons (co-.Upshot 创始人）、Siyun Han（ABCDE）和 Qiyun Lu（BeWater）。
特别感谢 BeWater 团队将本文件翻译成中文，并为我们提供了宝贵的反馈意见。
另外，还要感谢HomeDAO的其他成员：Eito Miyamura、Josh Lavorini、Konrad Kopp、Joseph Rowell、Akshaiyram Reguram、James O'Leary、Lucas Schneider、Orlando Fraser、Alex PF 和 Simon Sällström。
最后，感谢帮助审核本报告的所有人，包括 Foresight 团队、Tze Donn Ng、Owen Shen、Neel DaŁary、Dylan Zhang、Bart Jaworski、Matt Garcia、Cathie So、Kartin Wang、Anand Iyer、Shafu、Lucian Zhu（DAO BASE）、Morgan（Hopscotch）、Young Ling、Will Nowak、Anna Bertha（DCG）、Bobby（UMA Protocol）、Philipp（GnosisDAO）、Mikko Ikola（Veridise）、Matt Garcia、Louis Guthmann（Stark- ware）、Francis Zhan（Tribe Capital）、Tim（flock.io）、Gabriel Chua、Nitanshu Lokhande、0x AA、Cesar Rodriguez（IQ）、Ethan（MyShell）、Ayush Patel（BuildersTribe）、Chase Ando（Pickem）、Leo（Supersight）、Sid Rao、David Liu、Fred、Gabriel C 和 Tommy Shaughnessy。

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