
Sign up to save your podcasts
Or
Anthony & Marks were in town for LlamaCon so we got a chance 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 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)
Anthony & Marks were in town for LlamaCon so we got a chance 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 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)