Editor's Note: The crypto AI ecosystem is developing rapidly, with multiple projects advancing intelligent agents, on-chain reasoning, and decentralized models. Chaos Labs is building AI researchers, Sentient is introducing on-chain agents, Gaianet is collaborating with Mira to enhance credibility, Ambient focuses on real-time reasoning, and Sei is exploring robot economics. This wave is sweeping across the intersection of Web3 and AI.
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In the entire crypto industry, no track is developing faster than AI. Even in the current low sentiment on-chain, it still maintains the highest attention. The signals are very clear, and too much is happening to remain silent. In this week filled with tariff disputes, we have distilled the core content of the Crypto AI field for you:
Want to understand the overall trend? The following long-form articles are worth reading, as they do not focus on a specific project but better present where we are and potential future directions.
1. Chain of Thought's "The State of the Swarm (I): Dawn"
AI swarm is the future direction: Millions of autonomous agents will trade and evolve in real-time under market mechanisms, forming an "agentic economy".
Teng Yan (@0xPrismatic) has almost dedicated a whole year to Crypto AI research. Recently, his @CoT_Research acquired @OutpostdotAI, becoming the main observation platform in this field, publishing weekly updates and in-depth insights, exploring how AI and crypto are evolving.
2. @YB_Effect: Another important voice in the Crypto AI field
He published a summary article of conversations with DeAI (Decentralized AI) founders and investors. The core point: DeAI is attracting attention due to decentralized training, open-source reasoning, strong network effects, and global accessibility. However, its biggest challenge remains: how to prove that "decentralization" truly brings value? Some even believe that without Crypto, open-source AI cannot succeed.
3. @Sendaifun founder @Yashhsm: Thoughts on "Attention Capital Market" and AI
His core view is that through "vibe coding", AI is making application development faster and cheaper, thereby driving a wave of "hyped" tokenized applications. When the threshold for creation is lowered, "attention" becomes the real moat - and AI tools like @KaitoAI can help us quantify and trade this attention. The biggest problem still remains "user retention", but AI still has immense potential and may become the key force driving the next wave of crypto adoption.
4. @VariantFund's legal counsel and investment partner @DBarabander published a post about how crypto can solve AI's core challenges.
He mentioned Variant's recent investments in projects like @PluralisHQ and @Hyperbolic_Labs.
DBarabander pointed out: Crypto technology possesses characteristics of economic ownership, verifiability, and self-custody, which can solve AI's core problems in resource coordination, modular composition, and native payments. This means AI agents can access shared computing power, run in a trustless manner, and trade autonomously, thereby driving the next wave of Crypto AI innovation.
5. @GSR_io's "Convergence of Crypto and AI" is a content-rich research report that deeply analyzes multiple layers of decentralized AI technology stack.
The article provides detailed analysis of multiple leading teams, such as @PrimeIntellect, @NousResearch, @GensynAI, @PluralisHQ, etc., recommending reading to understand how decentralized training, data markets, and AI agent platforms combine into an ecosystem.
Arcium is focusing on building private AI and is developing the world's first encrypted supercomputer. This week, they released a preview of the "Encrypted Ecosystem", announcing the public test network (Testnet) launch on April 30, and completed a CoinList community funding round.
6.@Chaos_Labs is building the "world's first AI-powered crypto researcher".
I have already registered for early access. Their intelligent system aims to enhance research depth and investment conviction. Chaos CEO Omar states that the system is like an AI swarm, which will bring profound and executable insights to the crypto market.
7.@SentientAGI and @PondGNN collaborate to introduce on-chain data-driven AI agents into Sentient Chat.
Sentient is a non-profit organization dedicated to building a decentralized, open-source AI ecosystem. Through this collaboration, the AI models provided by Pond can analyze on-chain data in real-time, offering users operational suggestions and enhancing transparency and accountability.
8.@OpenGradient announces integration with @Crossmint, supporting AI agent construction through Goat SDK.
OpenGradient is a decentralized AI platform focusing on secure, open-source model hosting and scalable on-chain computing. In their March review, they also introduced Flock LLMs and integrated LangChain workflows, laying the foundation for next-generation web3 AI applications.
9.@Gaianet_AI collaborates with @Mira_Network to reduce AI hallucinations and bias rates by 90% through a trustless verification mechanism.
Gaia is a decentralized ecosystem supporting AI application evolution, while Mira focuses on verifiable AI inference. Their collaboration combines Mira's 2.5 million users with Gaia's 280,000-node network, which will promote AI implementation in high-risk scenarios such as healthcare and finance.
10.@Ambient_xyz officially emerges from stealth mode.
Ambient is a PoW Layer1 compatible with SVM, specializing in ultra-high-speed, real-time, and verifiable inference on 600 billion parameter models. They aim to become a "decentralized OpenAI competitor" and integrate AI into the underlying blockchain design. @Delphi_Digital co-founder @Shaughnessy119 disclosed this information.
11.@Sei_FND releases its latest research findings in robotics, DePIN, and AI.
The team discussed how DePIN and tokenization can drive physical AI development, achieving robot asset tokenization through blockchain and promoting AI participation through incentive mechanisms. AI applications in industries like healthcare and manufacturing will be accelerated, with the Sei chain serving as a critical financial infrastructure.
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