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 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