Future of Life Institute Podcast

Nathan Labenz joins the podcast to provide a comprehensive overview of AI progress since the release of GPT-4. 

You can find Nathan's podcast here: https://www.cognitiverevolution.ai   

Timestamps: 

00:00 AI progress since GPT-4  

10:50 Multimodality  

19:06 Low-cost models  

27:58 Coding versus medicine/law  

36:09 AI agents  

45:29 How much are people using AI?  

53:39 Open source  

01:15:22 AI industry analysis  

01:29:27 Are some AI models kept internal?  

01:41:00 Money is not the limiting factor in AI  

01:59:43 AI and biology  

02:08:42 Robotics and self-driving  

02:24:14 Inference-time compute  

02:31:56 AI governance  

02:36:29 Big-picture overview of AI progress and safety

Show Notes

Nathan Labenz joins the podcast to provide a comprehensive overview of AI progress since the release of GPT-4. 

You can find Nathan's podcast here: https://www.cognitiverevolution.ai   

Timestamps: 

00:00 AI progress since GPT-4  

10:50 Multimodality  

19:06 Low-cost models  

27:58 Coding versus medicine/law  

36:09 AI agents  

45:29 How much are people using AI?  

53:39 Open source  

01:15:22 AI industry analysis  

01:29:27 Are some AI models kept internal?  

01:41:00 Money is not the limiting factor in AI  

01:59:43 AI and biology  

02:08:42 Robotics and self-driving  

02:24:14 Inference-time compute  

02:31:56 AI governance  

02:36:29 Big-picture overview of AI progress and safety

What is Future of Life Institute Podcast?

The Future of Life Institute (FLI) is a nonprofit working to reduce global catastrophic and existential risk from powerful technologies. In particular, FLI focuses on risks from artificial intelligence (AI), biotechnology, nuclear weapons and climate change. The Institute's work is made up of three main strands: grantmaking for risk reduction, educational outreach, and advocacy within the United Nations, US government and European Union institutions. FLI has become one of the world's leading voices on the governance of AI having created one of the earliest and most influential sets of governance principles: the Asilomar AI Principles.