Author: Shenchao TechFlow
Crypto X AI is the main thread running through this year’s encryption market.
With the continuous breakthroughs in AI progress in the technology circle, a large number of projects related to AI concepts are rapidly emerging in the encryption circle. While one project after another is achieving astonishing growth, you may easily get lost in the vast sea of projects:
There are so many AI projects, what do they do? What type of track does it belong to? How should we analyze the value of these projects?
AI is just a two-letter abbreviation, but when combined with blockchain, the business scope it can cover is far from as simple as letters.
Therefore, understanding the business panorama and segmentation types of Crypto X AI will help us quickly identify whether a project has narrative value and the value it contains.
In this issue, we try to classify and sort out the businesses formed by the combination of Crypto and AI, and give noteworthy companies and projects in different categories, in order to help everyone capture value in the AI wave and provide a reference route map.
Basic logic of Crypto X AI
The first thing that needs to be made clear is that AI is essentially a form of productivity. If you want to exert this kind of productivity, you still cannot do without three basic elements:
Computing power, algorithms (models) and data.
As for Crypto or blockchain, it is more of a production relationship that promotes the development of AI by providing a better environment.
So how can this environment affect the above three AI elements? Different answers took crypto projects in different directions:
Optimize computing power : Provide decentralized and efficient computing resources, reduce the risk of single point failure, and improve overall computing efficiency.
Optimization algorithms: Promote the open source, sharing and innovation of algorithms or models.
Optimize data: decentralized storage, contribution, usage and security management of data
Around the optimization of these three points, we can roughly divide the entire AI track into the following 6 directions (due to the mutual influence of computing power, algorithms and data, ✓ in the table represents the main optimization points, which does not mean that only a certain aspect is optimized. a little):
The following will introduce the business content of each direction one by one, as well as representative companies and projects.
Decentralized computing and artificial intelligence reasoning platform
The decentralized computing and AI inference platform refers to a distributed computing network established using blockchain technology. Through this platform, idle computing resources can be shared and utilized globally to perform AI model training and inference tasks. .
This kind of platform not only improves computing efficiency but also reduces the risk of single points of failure by distributing computing tasks to multiple nodes in the network.
Under this framework, computing power has become the core factor to be optimized, because the decentralized computing platform directly provides broader and more economical computing resources.
Typical projects related to this classification are:
Ritual
It aims to create an incentive network to power distributed computing devices and also serve machine learning related inference workloads. Users can build and host ML models, deploying them to Infernet nodes in Ritual.
On November 8, 2023, Ritual completed a $25 million Series A financing, led by Archetype, with participation from Accomplice and Robot Ventures.
Official website: https://ritual.net/
Twitter: https://twitter.com/ritualnet
Akash Network
A distributed peer-to-peer marketplace for cloud computing that provides a secure platform where users can send data to each other and develop.
Through its integration with Cosmos, Akash Network benefits from the interoperability and scalability of the larger network, enabling seamless communication with other blockchain platforms, giving developers and organizations access to affordable distributed cloud computing resource.
Official website: https://akash.network/
Twitter: https://twitter.com/akashnet_
Render Network
A well-known provider of decentralized GPU rendering solutions that aims to connect users who want to perform rendering jobs with those who have a spare GPU to handle rendering. Owners can connect their GPUs to the rendering network, receive and complete rendering jobs, and RNDR rewards are sent to the individuals performing the rendering jobs.
Official website: https://rendertoken.com/
Twitter: https://twitter.com/rendertoken
Bittensor
An open source protocol, its token TAO has repeatedly broken new highs.
In the Bittensor network, the cryptocurrency incentive mechanism is used to encourage network participants to share their computing resources, data and AI models, so that global machine learning models and algorithms can learn and improve each other.
Recommended reading : "Interpretation of bittensor (TAO): Ambitious AI Lego, making algorithms composable"
Official website: https://bittensor.com/
Twitter: https://twitter.com/bittensor_
io.net
A decentralized computing network that enables the development, execution, and scaling of ML (machine learning) applications on the Solana blockchain, leveraging the world’s largest GPU clusters to allow machine learning engineers to develop, execute, and scale ML (machine learning) applications at a fraction of the cost of centralized services. section to access distributed cloud service computing power.
Official website: https://io.net/
Twitter: https://twitter.com/ionet_official
Hyperbolic
It aims to create a computing power platform that everyone can participate in, where people can share and access computing resources.
Official website: https://www.hyperbolic.xyz/
Twitter: https://twitter.com/hyperbolic_labs
Gensyn
Gensyn's concept is to connect the computing power of idle machine learning-capable computing devices (such as consumer GPUs, custom ASICs, and SoC devices capable of training neural networks) around the world through a global super cluster, thereby significantly Increase available computing power for machine learning.
On June 11, 2023, Gensyn completed a $43 million Series A financing, led by a16z, with participation from CoinFund, Canonical Crypto, Protocol Labs, Jsquare, Eden Block and other angel investors.
Official website: https://www.gensyn.ai/
Twitter: https://twitter.com/gensynai
Prime Intellect
Prime Intellect is a decentralized artificial intelligence platform that commoditizes computing and intelligence, providing developers with more affordable distributed computing and a sustainable business model with an open source model.
Official website: https://www.primeintellect.ai/
Twitter: https://twitter.com/PrimeIntellect
Inference Labs
Inference Labs is a trustless execution layer for artificial intelligence, focusing on interoperable artificial intelligence inference on the blockchain. The project sees this as an important step towards building artificial intelligence that anyone can access without counterparty risk.
Official website: https://inferencelabs.com/
Twitter: https://twitter.com/inference_labs
Nosana
A decentralized GPU grid developed and customized for artificial intelligence inference workloads.
The cost is up to 85% lower than traditional public clouds, providing new solutions for organizations and individuals seeking massive computing power without spending too much money. Users have direct access to GPU nodes that can scale computing needs as needed, and consumers, miners, and enterprises can monetize idle hardware by becoming Nosana nodes.
Official website: https://nosana.io/
Twitter: https://twitter.com/nosana_ci
Lilypad
Lilypad is a verifiable, trustless and decentralized computing network designed to promote mainstream adoption of web3 applications. By extending unrestricted access to global computing power, Lilypad strategically partners with decentralized infrastructure networks like Filecoin to develop a transparent, efficient, and accessible computing ecosystem.
Official website: https://lilypad.tech/
Twitter: https://twitter.com/Lilypad_Tech
Prodia
Prodia is an artificial intelligence inference API with the vision of making artificial intelligence accessible to everyone, providing a fast and easy-to-use API for image generation.
Official website: https://prodia.com/
Twitter: https://twitter.com/prodialabs
Hyperspace
Hyperspace A new type of supercomputer powered by a completely browser-based blockchain.
Official website: https://www.hyperspace.computer/
Twitter: https://twitter.com/HyperspaceAI
Vanna Labs
Vanna is a blockchain network that supports running on-chain AI/ML inference and is compatible with EVM. Vanna also supports native, zkML-secure inference, computing, securing and validating directly on-chain; designed in a seamless way, leveraging AI/ML in dApps is as easy as a simple function call.
Twitter: https://twitter.com/0xVannaLabs
Official website: https://www.vannalabs.ai/
Arbius
Arbius is a decentralized open source network for machine learning. By participating in the network, GPU computing power is used to generate new coins, providing a way for model creators to earn income.
Official website: https://arbius.ai/
Twitter: https://twitter.com/arbius_ai
CUDOS
CUDOS combines cloud and blockchain to empower enterprises in artificial intelligence, metaverse, HPC, Web3 nodes and startups to unlock new possibilities in the digital realm.
Currently, Cudos has established its own L1, aiming to provide high-performance, trustless, and permissionless decentralized cloud computing for everyone. The Cudos network runs on a Delegated Proof of Stake (DPoS) consensus model, with validators checking transactions and providing computing cycles for DAPPs.
Official website: https://www.cudos.org/
Twitter: https://twitter.com/CUDOS_
Flux
A decentralized cloud computing platform that helps build decentralized applications with greater flexibility, scalability, and censorship resistance. It also provides computing resources for AI reasoning and operation.
Any hardened dockerized application can run on Flux's fully decentralized computing network. Flux services provide a fully decentralized alternative to other service providers while maintaining competitive prices.
Official website: https://runonflux.io/
Twitter: https://twitter.com/RunOnFlux
AIOZ Network
AIOZ Network is a comprehensive infrastructure solution for web3 storage, decentralized artificial intelligence computing, live streaming and video on demand (VOD).
Official website: https://aioz.network/
Twitter: https://twitter.com/AIOZNetwork
Aethir
Aethir is a cloud computing infrastructure platform that revolutionizes the ownership, allocation and usage of enterprise-grade graphics processing units (GPUs). By moving away from the traditional centralized model, Aethir deploys a scalable and competitive framework for sharing distributed computing resources to meet the needs of enterprise applications and customers across industries and geographies.
Official website: https://www.aethir.com/
Twitter : https://twitter.com/AethirCloud
Fulence
Fluence is a decentralized serverless platform and computing marketplace powered by blockchain economics.
Using Fluence, developers can build and deploy applications to a network of computing providers, which can range from professional data centers to home computers. Providers compete on price and performance and receive compensation and incentives.
Official website: https://fluence.network/
Twitter: https://twitter.com/fluence_project
iExec
The iExec network connects cloud resource sellers with cloud resource buyers, encouraging an ecosystem of decentralized, autonomous, privacy-preserving applications. The network is designed to provide companies with scalable, secure and easy access to the services, data sets and computing resources they need.
Official website: https://iex.ec/developers/
Twitter: https://twitter.com/iEx_ec
NetMind.AI
NetMind.AI offers two products: NetMind.Power (a distributed computing platform) and NetMind.Chat (a customizable chatbot suitable for personal and business use).
Among them, NetMind.Power can provide massive computing resources to solve complex problems in artificial intelligence, data science and other fields. With NetMind.Power, individuals and businesses can easily access powerful computing resources to easily train or execute complex artificial intelligence models.
Official website: https://netmind.ai/home
Twitter: https://twitter.com/NetmindAi
OpSec
As a decentralized physical infrastructure network provider, OpSec leverages state-of-the-art artificial intelligence technology to build, maintain and operate blockchain infrastructure, ensuring the security and privacy of blockchain applications.
OpSec leverages artificial intelligence to augment the power of cloud computing to provide a scalable, flexible and cost-effective platform for blockchain applications.
Official website: https://opsec.software/
Twitter: https://twitter.com/OpSecCloud
AI data and model sources
The main focus is on managing and verifying the source of data and AI models in a decentralized manner.
Specifically, this classification emphasizes ensuring the authenticity, transparency and traceability of data, as well as the fairness and verifiability of model training during the AI development process. Under this framework, data becomes a key element for optimization, because high-quality, credible data is the prerequisite for training effective AI models.
The role of blockchain is to record the source information of data and models through an immutable distributed ledger, providing a transparent and secure environment that allows data providers, model developers and users to verify data and models. authenticity and integrity.
In addition, through smart contracts, the blockchain can also automatically execute the license agreement for data use and model training, ensuring that the use of data conforms to the wishes of the original owner, while promoting the legal sharing and utilization of data.
Typical projects related to this classification are:
Rainfall
A privacy-preserving intelligent platform that uses Edge-AI and Web3 technologies to unlock economic value from user data while protecting data privacy and reshaping data monetization.
At the same time, the project also generates real-time social intelligence from millions of data events as they occur. Provide data reference for companies, organizations and governments to better serve customers.
Official website: https://rainfall.one/
Twitter: https://twitter.com/rainfall_one
Numbers
Numbers is an open and decentralized network that ensures all digital media created by humans and artificial intelligence has an exact provenance. It protects the origin of digital media through a decentralized ecosystem and blockchain technology, similar to version control systems such as Git.
Official website: https://www.numbersprotocol.io/
Twitter: https://twitter.com/numbersprotocol
Grass
Wynd Network's flagship product and provides a set of applications that perform data contribution operations in the background on your phone or computer, enabling artificial intelligence labs to obtain network data directly from the Internet to train their artificial intelligence models, and can directly provide them with Provide a data set.
Official website: https://www.getgrass.io/
Twitter: https://twitter.com/getgrass_io
Koii Network
A distributed cloud computing platform where anyone with a computer can become a node and earn passive income on Koli. Training models with community-supported data is better for everyone and cheaper to maintain.
Therefore, the tools provided by Koii also support federated learning, training data access and crowdsourced GPUs.
Official website: https://www.koii.network/
Twitter: https://twitter.com/KoiiNetwork
Flock
A unique platform integrating on-chain decentralized machine learning, providing a safe and efficient solution for fine-tuning and inference of artificial intelligence models.
There is an artificial intelligence co-creation platform in Flock, and the system rewards individuals who provide and verify data. It utilizes the transparent and secure structure of blockchain to track the usage and validity of data to determine rewards.
Official website: https://www.flock.io/
Twitter: https://twitter.com/flock_io
Hyperspace
The project strives to build a world of large language models with millions of communities available for free use by billions of people every day.
Official website: https://www.hyperspace.computer/
Twitter: https://twitter.com/HyperspaceAI
Ocean protocol
A privacy-preserving, data-sharing protocol in AI and the new data economy. Enables people to buy and sell private data while preserving privacy, for data sharing in scientific or technical settings.
Official website: https://oceanprotocol.com/
Twitter: https://twitter.com/oceanprotocol
Syntropy
The Syntropy data layer protocol was created to provide and access blockchain data, and anyone can become a provider of the Web3 data open market. Token holders decide which providers are reliable and therefore worthy of rewards based on the quality of data they provide, as well as their overall performance.
Official website: https://www.syntropynet.com/
Twitter: https://twitter.com/Syntropynet
Token-Incentivized Artificial Intelligence Applications
A model that uses cryptocurrency tokens as an incentive mechanism to encourage users, developers and other participants to participate in and contribute to AI projects and platforms.
To stimulate active participation of the community through token rewards, including providing data, developing algorithms, providing computing resources, or training and optimizing AI models. Tokens not only serve as a reward mechanism, but can also serve as a transaction medium within the platform, used to purchase data, computing power or professional AI services.
In this model, algorithms and models become the core elements to be optimized. Through the joint efforts and resource integration of the community, the development and iteration of AI algorithms can be accelerated, while the quality and adaptability of AI models can be improved. In addition, token incentives also promote the collection and sharing of data, as participants can receive token rewards for providing high-quality data, thereby indirectly optimizing the data element.
Typical projects related to this classification are:
MyShell
MyShell is a platform for creating voice chatbots based on Web3 and AI. Users can select their favorite character at any time to start voice chat immediately and quickly improve their language skills by discussing topics of interest.
Official website: https://myshell.ai/
Twitter: https://twitter.com/myshell_ai
ImgnAI
A consumer-facing AI application that offers similar model quality and user experience to text-to-image products like Midjourney, allowing users to create stunning works of art with simple text commands. Its user growth and revenue drive $imgnAI the accumulation of token value through a purchase and burning mechanism. This enables token holders to benefit from the growth of imgnAI’s product suite.
Official website: https://imgnai.com/
Twitter: https://twitter.com/imgn_ai
MyPeach
MyPeach is a companion application driven by an AI engine. Users can customize their partner's attributes such as race, hair color, hair length, eye color, and body type. Finally, users can have conversations with their customized partners, just like in reality. The same world.
Official website: https://www.mypeach.ai/
Twitter: https://twitter.com/mypeachai
Artificial Liquid Intelligence
A decentralized protocol for creating intelligent avatars that use AI to interact with people. The platform has spawned a new NFT standard called intelligent NFTs (iNFTs), which can create NFTs embedded with AI animation, speech synthesis, and generative AI capabilities.
As early as August 2021, the project received US$16 million in financing from Multicoin.
Official website: https://www.aiprotocol.info/
Twitter: https://twitter.com/real_alethea
IQ.wiki
IQ.wiki attempts to create an AI assistant for blockchain knowledge and become the Wikipedia of the crypto world. Users can get answers to all crypto- and blockchain-related projects, knowledge, and tokens by asking questions just like using GPT. IQ GPT provides reliable cryptocurrency insights from multiple sources to meet exploration, development and trading needs.
Official website: https://iq.wiki/
Twitter: https://twitter.com/IQWIKI
CharacterX
CharacterX is a new generation decentralized synthetic social network designed to connect human and AI entities. The platform allows users to create their own AI identities and connect with other users (whether AI or human) across time and space limitations. By developing an advanced multi-modal AI architecture that supports multi-sensory data input and output, including 3D and AR experiences, as well as active AI agents for social scenarios, CharacterX provides users with an enhanced social experience that is personalized, authentic, and secure and private.
Official website: characterx.ai
Twitter: https://twitter.com/CharacterXAI
DeepSouth AI
DeepSouth AI achieves superior computing power and efficiency by employing a combination of neuromorphic computing algorithms, including Spike Timing Dependent Plasticity (STDP), backpropagation-based direct training scheme, supervised temporal learning, ANN to SNN conversion strategy, reservoir computing and genetic algorithms.
Currently, its available products include autonomous AI, visual AI and conversational AI.
Official website: https://deepsouth.ai/
Twitter: https://twitter.com/DeepSouthAI
KIP
The KIP Protocol enables AI value creators to connect their expertise – whether in data production, model training, application design or otherwise – and enjoy transparent accounting and revenue sharing.
Under this system, each component is encapsulated in an ERC-3525 semi-fungible token (SFT) , allowing easy and low-cost real-time transfer of economic value between components, and users can interact with them.
Official website: https://kip.pro/
Twitter: https://twitter.com/KIPprotocol
On-chain AI agents and security
On-chain AI agents and security involve deploying AI agents on the blockchain as a way to improve the security and trustworthiness of AI applications.
These AI agents can automatically perform tasks, such as transactions, data analysis, automatic decision-making, etc., and being deployed on the blockchain makes their operations not only transparent and traceable, but also difficult to be tampered with, improving the security of the entire system.
Under this framework, computing power and algorithms/models are key elements to be optimized, because safe AI agents require reliable computing resources to execute complex algorithms and models.
In addition, on-chain AI agents can share and utilize data and resources across platforms while ensuring privacy, because ZK related technology can verify the validity and integrity of data without leaking sensitive information.
Recommended reading: "The rise of AI agent narratives, which projects deserve early attention?" 》
Typical projects related to this classification are:
AI Arena
AI Arena is a blockchain game integrating human x AI collaboration, where players design, train and battle NFTs driven by artificial intelligence in a global competition.
Researchers drag and drop their machine learning models onto the platform and compete against AI models from other researchers. Researchers who perform well will be rewarded with AI Arena’s native tokens.
Official website: https://aiarena.io/#/
Twitter: https://twitter.com/iaarena_
Operator.io
A protocol for creating a decentralized agent network, standardizing the exchange of information and value between users, protocols and artificial intelligence agents. Here users build and deploy their own agents, then make them available to the world.
Official website: https://operator.io/
Twitter: https://twitter.com/operator_io
Fetch.ai
The artificial intelligence application public chain was established in 2017 and launched on the mainnet in December 2019. It is currently connected to the IBC protocol of Cosmos and can interoperate with other chains in the Cosmos ecosystem.
It can be regarded as a blockchain + AI infrastructure. The bottom layer is mainly a consensus network, smart contracts and machine learning libraries. The upper layer realizes various AI functions and applications through various skill modules.
Official website: https://fetch.ai/
Twitter: https://twitter.com/fetch_ai
Modulus Labs
In order for dApps to gain powerful artificial intelligence capabilities, dApps need to give up the security of decentralization and bear the risks of centralization. Modulus Labs combines ZKML with AI to effectively check that artificial intelligence providers are not manipulating their algorithms on the chain. .
On November 1, 2023, Modulus Labs announced the completion of a US$6.3 million seed round of financing, led by Variant and 1kx, with participation from Inflection, Bankless, Stanford and others.
Official website: https://www.modulus.xyz/
Twitter: https://twitter.com/ModulusLabs
Delysium
Delysium is an open-world framework powered by artificial intelligence that provides a simplified architecture to support an advanced AI agent network and supporting ecosystem, focusing on ensuring security, scalability and high-speed communication. The structure of the ecosystem is simplified into two main layers: the communication layer (also called the base layer) and the blockchain layer. The broader ecosystem, including the community, development, and interaction of AI agents, is integrated within these layers.
Related reading: "Exclusive Interview with Delysium Co-Founder: Solving Communication and Collaboration Problems between AI Agents in the Future"
Official website: https://www.delysium.com/
Twitter: https://twitter.com/The_Delysium
Agent Protocol
The project aims to create new on-chain asset classes by enabling gamers around the world to train their own artificial intelligence agents from gameplay clips, powered by decentralized GPU computing.
Twitter: https://twitter.com/iAgentProtocol
Morpheus
Morpheus is designed to incentivize a peer-to-peer network of personal general artificial intelligence, where the AI can execute smart contracts on behalf of users; ordinary users can talk to their intelligent agent in normal language and have it understand the problem and act based on their intent/approval.
Official website: https://mor.org/
Twitter: https://twitter.com/MorpheusAIs
Autonolas
Autonolas is a unified network that uses AI agents for off-chain services such as automation, oracles, and co-owned artificial intelligence. The project provides a composable stack for building these services, as well as incentives for creating protocols that run complex logic in a decentralized manner and interact with on-chain and off-chain data autonomously and continuously.
Official website: https://olas.network/
Twitter: https://twitter.com/autonolas
Test Machine
TestMachine is an artificial intelligence platform designed to help developers and projects identify and fix vulnerabilities in smart contracts at lightning speed. It provides instant access to a set of industry-standard tools for smart contract compilation, optimization, testing, and real-time security analysis, with instant reporting.
Official website: https://testmachine.ai/
Twitter: https://twitter.com/testmachine_ai
DAIN Protocol
An AI agent network on Solana, the official website is still under development, and has recently attracted the attention of many KOLs.
Official website: https://dain.org/
Twitter: https://twitter.com/dainprotocol
Oraichain
The Oraichain mechanism looks similar to Band Protocol and Chainlink, enabling smart contracts to securely access external AI APIs. Artificial intelligence helps enhance smart contracts.
At the same time, Oraichain is also an L1, specifically providing a carrier for AI-driven dAPPs and AI agents.
Official website: https://orai.io/
Twitter: https://twitter.com/oraichain
Artificial Intelligence Powered Blockchain Marketplace and Learning Platform
The artificial intelligence-driven blockchain market and learning platform utilizes AI technology to enhance blockchain applications, especially in market transactions and online education platforms.
Such platforms use AI algorithms to analyze market data, predict trends, provide personalized learning experiences, or automatically match buyers and sellers. The integration of AI not only improves platform efficiency, but also provides users with more accurate and efficient services.
In this classification, algorithms and models as well as data are regarded as core elements, because the effectiveness of AI relies on large amounts of high-quality data to train accurate models and provide intelligent services through these models. For example, AI can help analyze and understand user behavior to provide more personalized recommendations in the blockchain market, or provide customized educational content on learning platforms.
Typical projects related to this classification are:
Bagel Network
A decentralized data platform that plans to solve the problem of data monopoly by creating a marketplace that allows data scientists and AI engineers to exchange and authorize verifiable data sets in a cost-effective and privacy-preserving manner. The project aims to develop a decentralized data platform that supports machine learning (ML) models.
On January 23, 2024, Bagel Network completed a Pre-seed round of financing of US$3.1 million.
Official website: https://www.bagel.net/
Twitter: https://twitter.com/bagel_network
SingularityNET
SingularityNET is an AI service trading platform that helps bring together AI service developers and users. Developers can publish their services to the SingularityNET network to earn income; users can integrate services into their own websites, applications or other products through the SingularityNET trading platform.
Official website: https://singularitynet.io/
Twitter: https://twitter.com/SingularityNET
FedML
FedML is a decentralized collaborative machine learning platform for decentralized and collaborative AI anywhere and at any scale, which enables you to train, deploy, monitor, and continuously improve machine learning models while doing so in a privacy-preserving manner. Collaborate on combined data, models, and computing resources.
On March 28, 2023, FedML completed a $6 million seed round of financing.
Official website: https://fedml.ai/home
Twitter: https://twitter.com/fedml_ai
Numerai
Numerai is a new hedge fund built by a network of data scientists using artificial intelligence technology. Its core advantage is free datasets. It consists of high-quality financial data that has been cleaned, normalized, and obfuscated.
Official website: https://numer.ai/
Twitter: https://twitter.com/numerai
Allora
Allora is a self-improving decentralized artificial intelligence network that enables applications to leverage smarter and more secure AI through a network of self-improving ML models. By combining cutting-edge research in crowdsourcing mechanisms (peer prediction), federated learning, and zkML.
Official website: https://allora.network/faq
Twitter: https://twitter.com/AlloraNetwork/
Upshot
Upshot started out as an attempt to use crowdsourcing to predict asset prices. After continuous development, it has created an AI model capable of analyzing more than 400 million assets and a trustless and self-improving decentralized artificial intelligence network.
Currently, the project has launched the Upshot machine intelligence network, which aims to crowdsource financial Alpha generated by machine learning models and is supported by an "Alpha Proof" reward mechanism.
Official website: https://upshot.xyz/
Twitter: https://twitter.com/UpshotHQ
Model validation
Model verification, in the field of combining blockchain and artificial intelligence, refers to the use of blockchain technology to confirm and ensure the performance, security and transparency of the AI model.
This process involves using the immutable and transparent recording characteristics of blockchain to verify the training data, algorithm logic and performance indicators of the AI model. The purpose of model verification is to establish users' trust in the AI model, ensure that the model's decision-making process can be tracked and audited, and ensure that the model has not been maliciously tampered with or deviated from its original design intention.
In this classification, algorithms and models become key elements to be optimized. By recording the detailed process of model training and operation on the blockchain, a transparent evidence chain can be provided for each decision of the AI model, thereby optimizing the credibility and reliability of the model.
In addition, model verification also involves the use of encryption technology such as zero-knowledge proof, which not only protects the privacy of data, but also verifies the output of the model without exposing its internal logic, further enhancing the security and privacy of the model.
Typical projects related to this classification are:
Giza
Giza is building a trustless protocol that decentralizes the process of machine learning inference calculations while powering an open economy for open source artificial intelligence. Giza allows AI developers to easily generate zero-knowledge proofs for AI models.
Official website: https://www.gizatech.xyz/
Twitter: https://twitter.com/gizatechxyz
EZKL
EZKL is a verifiable artificial intelligence system that supports zero-knowledge encryption. It is able to prove the authenticity of an AI/ML model, generating a zero-knowledge proof that the model produced certain results without having to reveal the model itself.
Official website: https://ezkl.xyz/
Twitter: https://twitter.com/ezklxyz
Finally, due to space and experience limitations, this article does not list all AI projects in the classification.
But whether it is for investment or research, grasping the subdivisions of the entire AI track will help quickly determine the business scope the next time you encounter a new project, thereby providing a reference for more decisions.
I hope every crypto trend-setter can reap the rewards of his or her own knowledge in the AI wave.
