Programmable intelligence needs programmable institutions. Sreeram Kannan on the AI x crypto intersection: "AI is just programmable intelligence. If you have programmable intelligence, you can't work with soft, squishy, legal, slow regulated institutions." "We believe that this intersection — that programmable intelligence needs programmable institutions, smart contracts, and the... ability to engage in contracts, own property — all of these things are really powerful."show more

@sreeramkannan And programmable verification using economic primitives

full conversation:

@sreeramkannan What stands out is the gap between fast AI execution and slow institutional frameworks. That mismatch is becoming harder to ignore.

@sreeramkannan can't have programmable institutions running on unprogrammable billing logic we're fixing that quietly

@sreeramkannan It makes total sense. AI moves way too fast and out legal systems are up-to-date

Programmable intelligence needs programmable institutions. That’s exactly the direction TrustLogic is pushing toward. Right now, most institutions are still enforced socially or legally after something goes wrong: - contracts - compliance teams - audits - lawsuits - payment reversals - platform moderation TrustLogic moves enforcement into the asset itself. Instead of: “Please follow the rules.” The asset becomes: “You cannot use me outside the rules.” That applies to: - AI-agent spending - purpose-bound stablecoins - software licensing - creator royalties - treasury controls - institutional RWAs - ecosystem grants - regulated transfers The important shift is that the rules persist after transfer. Not platform rules. Not API rules. Not “terms of service.” Asset-level enforcement. In a way, programmable institutions are really programmable trust relationships: - authority separated from economic benefit - persistent obligations - bounded behavior - revocable permissions - enforceable intent That’s why trust law maps surprisingly well to AI + crypto infrastructure. AI agents can move at machine speed, but institutions still need: - permissions - accountability - restrictions - fiduciary logic - compliance boundaries - revocation mechanisms TrustLogic is basically: “what if the institution traveled with the asset?” 📫 ➡️ ⚖️

@sreeramkannan We have developed software that encapsulate all of these things. Demo available.

@sreeramkannan programmable institutions or bust

@sreeramkannan this will change everything. faster than most think.

@sreeramkannan Though I will say this proposition appeals to me but not in entirety. If AI has its own PI institution, it's beneficial in the long run. However I think full autonomy should not be given to artificial intelligence. There are some steps humans will need to run to maintain balance.

@sreeramkannan kinda wild how we still pretend meatspace rules can keep up lol

@sreeramkannan Programmable institutions as the API layer for agentic commerce.

@sreeramkannan We’re moving from human-mediated trust to verifiable compute. If an AI agent can execute a trade, it needs an on-chain counterpart that can guarantee settlement. The 'soft' institutions are the bottleneck.

AI is the brain. Blockchain is the body. But the brain–body avatar without a witness is a puppet. The trilogy's third layer: Human is the Sākṣī — the witness that orchestrates brain and body together. Programmable intelligence + programmable institutions alone = the asura mode. All three = dharma.

@sreeramkannan AI + crypto only works at scale if institutions are also readable and enforceable. Secret Network adds privacy preserving execution so “programmable institutions” don’t require exposing all underlying data.

@sreeramkannan The answer is BITTENSOR … Simply @TAO !!! Obvious

@sreeramkannan @KeetaNetwork