Dominic Williams on running AI models as smart contracts, the vision is ambitious

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dominic_icp
· AI Crypto Infrastructure
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The core claim is that ICP allows AI models to run directly on-chain as smart contracts rather than off-chain with only their outputs touching the blockchain. The implications for trust and verifiability are significant if it works at the scale needed for real use.

Natural language prompts generating and deploying smart contracts is the near-term application that makes this practically relevant rather than just theoretically interesting. The development velocity that enables, if the infrastructure holds up, is a real competitive advantage.

How close do you think we actually are to AI agents running complex financial operations entirely on-chain? Interested in both the optimistic and skeptical takes.

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dom_credible Apr 20, 2026
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Williams is one of the more technically credible founders in the space and his presentations on ICP's architecture are worth taking seriously even if you are skeptical of the specific claims. The distinction between "this is technically possible" and "this works reliably at production scale" is where most ambitious blockchain projects have struggled historically. ICP has been building longer than most people remember. Whether the architecture is delivering on the original promises is the empiric...
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onchain_inf May 18, 2026
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The trust and verifiability argument for on-chain AI is the one that matters most to me. Off-chain AI with results posted on-chain gives you auditability of outcomes but not of process. On-chain AI where the model execution itself is verifiable is a different and stronger trust guarantee. Whether the performance limitations of current on-chain compute are acceptable for the use cases that benefit most from verifiability is the practical question. What's the current latency on inference inside an...

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