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294: Intuition Systems — Trust, Attestations & AI’s Garbage-In Problem

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Manage episode 505931804 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

296 episodes

Artwork
iconShare
 
Manage episode 505931804 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

296 episodes

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