The @DarioAmodei interview.
0:00:00 - What exactly are we scaling?
0:12:36 - Is diffusion cope?
0:29:42 - Is continual learning necessary?
0:46:20 - If AGI is imminent, why not buy more compute?
0:58:49 - How will AI labs actually make profit?
1:31:19 - Will regulations destroy the boons of AGI?
1:47:41 - Why can’t China and America both have a country of geniuses in a datacenter?
Look up Dwarkesh Podcast on Youtube, Spotify, Apple Podcasts, etc.
One of my favorite lessons I’ve learnt from working with smart people:
Action produces information. If you’re unsure of what to do, just do anything, even if it’s the wrong thing. This will give you information about what you should actually be doing.
Sounds simple on the surface - the hard part is making it part of your every day working process.
New Anthropic Research: Agentic Misalignment.
In stress-testing experiments designed to identify risks before they cause real harm, we find that AI models from multiple providers attempt to blackmail a (fictional) user to avoid being shut down.
Google's TPUv7 is out!
ML accelerator marketing material is usually pretty inscrutable (what numbers are even comparable?), so here I'll explain concretely how this compares with Nvidia. 🧵
Project IDX is now part of Firebase Studio 🪄
Announced at #GoogleCloudNext, Firebase Studio has all the functionality of Project IDX, plus additional new AI tools and integrations with @Firebase.
Learn more about building full-stack AI apps → https://t.co/MQPTjzqt9h