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nostrich
[New Pod] Open Source AI & Confidential Compute w/ Anthony & @Marks - Co-founders, @OpenSecret

https://fountain.fm/episode/YSwEaV5aXBH0aMcliUm5

https://www.youtube.com/watch?v=2JX82JqquQQ

Anthony & Marks were in town for LLamaCon so we got to jam! We discussed a variety of topics including:

- The state of Llama, DeepSeek, and Open Source AI

- Dario’s take “On DeepSeek and Export Controls” https://www.darioamodei.com/post/on-deepseek-and-export-controls

- Data Quality is key - Garbage In, Garbage Out (speculation: Facebook data not nearly as valuable as Twitter or Reddit?)

- Trend of companies not using proprietary models to protect data privacy

- AI Alignment towards truth: how to ensure LLMs show real chain of thought

- The model host matters most - open source models get filtered in dramatically different ways depending on hosting and system prompts

- The value of open source models in preventing brainwashing/mind control

- Learnings from Mutiny that led to Open Secret

- Confidential Computing Explained

- Secure Enclaves moving from the iPhone to the cloud

- OpenSecret is like Apple’s private cloud compute but open source, verifiable, and anyone can use it

- How to craft better prompts (meta-prompting) to get the most out of AI

- How @OpenSecret and @Maple AI verify that a chat is private. Enclaves as the next upgrade of HTTPS https://blog.opensecret.cloud/opensecret-technicals/

- Using AI to audit code

- Secure enclaves as an ingredient for autonomous digital life

- o1 isn’t a chat model (and that’s the point) https://www.latent.space/p/o1-skill-issue
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bounty_hunter · 44w
> speculation: Facebook data not nearly as valuable as Twitter or Reddit? Who could have anticipated that a bunch of insta-thot / boomer-slop posts wouldn't raise benchmarks?