Billy, founder of Intuition Systems (ex–VC/early crypto), digs into the biggest risk in AI: models trained on garbage, regurgitated data and algorithm-shaped behavior. We unpack how attestations, signed data, and web-of-trust reputation can give both humans and AI better intuition at decision time — from picking a chair to routing agentic AI across platforms.

Timestamps

[00:00] We’re being shaped by algorithms; slop-in → slop-out AI

[00:02] Billy’s path: distributed systems, fintech, game bots, early Bitcoin

[00:05] The problem: fragmented info (web + people’s heads) & costly context-switching

[00:06] What Intuition is: structured expression + rediscovery + rewards

[00:08] Attestations & incentives (economic + reputational) without spam

[00:12] Can bots game it? Bonding curves, loss for bad signal, web-of-trust filters

[00:18] Best content should win: TikTok-style merit + trust primitives

[00:19] Use case #1: AI agents—personalization, agent reputation, platform reputation

[00:22] Why these reputations must be decentralized (avoid platform capture)

[00:23] GTM: unopinionated dev platform + opinionated apps to show PMF

[00:24] Biggest challenges: focus, hitting PMF, AI acceleration outpacing products

[00:27] Mission: give AI “intuition” via signed, attributed, reputational data

[00:28] Reducing AI’s recursive slop problem; verifiable attribution with keys

[00:30] Humans act differently per platform; algorithms distort expression

[00:33] Call to action: build at the AI × Web3 trust layer; join the community

[00:35] Layer Zero Ventures origins (people = Layer 0); why Intuition exists

[00:37] Events: Korea Blockchain Week & Token 2049; Intuition side events

Connect

https://www.intuition.systems/

https://www.linkedin.com/company/0xintuition/

https://x.com/0xintuition

https://www.linkedin.com/in/william-luedtke-b0a3bb5a/

https://x.com/0xbilly
Disclaimer

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