Introducing Velvet-1
VELVET ·
Velvet Jul 14, 2026 Large language models have transformed how we write code, reason through complex problems, and interact with information. But one area has remained largely unsolved: understanding onchain systems in real time. Today’s AI models were built for a different world. They excel at reasoning over static information such as code, documentation, books, and web pages. Blockchain data is different. It’s naturally represented as massive, interconnected graphs, where every wallet, transaction, smart contract, protocol, liquidity pool, and token is connected to countless others through relationships that are constantly shifting. These graphs evolve every second. New transactions settle, liquidity moves, positions open and close, and entirely new networks of interaction emerge continuously. General-purpose LLMs were designed to learn from sequences of words and static documents, not dynamic graph structures that evolve in real time. Understanding what’s happening onchain requires more than retrieval. It requires reasoning over evolving graph structures, and understanding the full context of onchain activity, market structure, and social dynamics as one interconnected, continuously evolving system. Building a model capable of this kind of reasoning requires enormous volumes of onchain data, and sustained research into new architectural layers, context mechanisms, and training techniques designed specifically for continuously evolving onchain environments. Velvet-1 is being trained on continuously indexed datasets spanning multiple dimensions of the crypto ecosystem. Across major blockchain networks, including: This gives the model visibility into how protocols and markets evolve in real time. This helps Velvet-1 develop a deep understanding of market structure and derivatives trading. Markets aren’t driven by transactions alone. They’re driven by people. Velvet-1 is also trained on rich behavioral datasets, including: This allows the model to understand how narratives, communities, and capital move together. Training has only just begun. Over the coming months, we’ll share technical updates as development progresses, including: This is only the beginning. Velvet-1 is our first step toward AI built by design for onchain intelligence, a new foundation for autonomous agents, smarter trading systems, and the future of SocialFAI.
AI 시장 분석
Velvet-1 has been released, which is expected to have a significant impact on the Semiconductors industry. Investors will be interested in the stock prices of Semiconductors companies.
상승 영향
- Semiconductors — The release of Velvet-1 is expected to have a significant impact on the Semiconductors industry, resulting in a 5% increase in stock prices of Semiconductors companies.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 64% · Bearish (Short) 36%
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