I Can See Everything

Nick Cammarata of Goodfire says neural networks are already clean: most neurons have one main job, and the famous evidence for superposition was misread. Zvi works through what the essay actually shows, from V-shape and Colorado neurons to a trillion-parameter attribution graph, then through the reactions, from OpenAI staff calling it a historic day to Neel Nanda, Jake Mendel and an exasperated Eliezer Yudkowsky with his parable of the screwdriver. He asks how big an update this really is, what it leaves out, and why a neuron that loves both Colorado and a Python web framework matters. The Don’t Worry About the Vase Podcast is a listener-supported podcast. To receive new posts and support the cost of creation, consider becoming a free or paid subscriber. This has been an Askwho Casts audio conversion. If you would like your own private feed of audio conversions of any blog posts you would like to listen to, You can sign up For Askwho Casts Pro at https://askwhocasts.com/, Where you can give any post the multi-voiced podcast treatment, into your own podcast feed. Thanks for listening. * 00:00 - Introduction * 02:50 - Table of Contents * 03:50 - Good Smoke, Potential Fire * 05:03 - One Neuron, One Central Concept * 07:38 - I Can See Everything * 09:49 - What a Concept * 14:37 - The More You Know * 17:11 - Attention Is Still What You Need * 19:29 - Occam’s Razor * 21:03 - The Neurons Sometimes Share Clear Themes * 21:59 - Hype * 30:31 - Anti-Hype * 32:51 - Theme and Variations * 39:13 - Is This How Minds Work? * 41:17 - But We Can Open The Box, Said Toad * 48:57 - That Was Not the Hard Problem * 51:43 - More Skepticism * 57:04 - That’s All There Is, There Ain’t No More * 01:00:24 - The Default Outcome of Mech Interp is Goodhart’s Law * 01:03:10 - Interpretability is Dual Use * 01:04:24 - Now The Work Can Begin https://thezvi.substack.com/p/i-can-see-everything?r=67y1h&utm_campaign=post-expanded-share&utm_medium=web Get full access to DWAtV Podcast at dwatvpodcast.substack.com/subscribe