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In a written response published on the 18th via Bitcoin.com News, Sentient Labs strategy and growth head Abhishek Saxena argued that the core risk is not AI moving too fast or too slow, but a small number of firms controlling the most powerful models while also defining what counts as safe. The framing moves the policy fight toward independent evaluation authority and third-party verification infrastructure, which is the regulatory channel most relevant to decentralized-AI and open-model crypto projects that market themselves as alternatives to closed labs. This is commentary rather than a rule change, so the read only shifts if regulators or standards bodies actually mandate external, reproducible model audits; until then it stays a narrative tailwind for open-AI tokens and a latent compliance overhang for concentrated AI infrastructure names.
As a Research signal, confirm the link to liquidity, rates, policy timing, and price reaction before drawing a trading conclusion.
Original Source: 토큰포스트
This page is market information analysis, not investment advice.
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