Matthew Berman breaks down Weight Space Programming, calls it the wildest AI paper of the year
MatthewBerman · x · 2026-11-05
AI YouTuber Matthew Berman published a full breakdown of the research paper Weight Space Programming, calling it the most insane AI paper he has seen all year. The tweet only links to the video without technical details; the substance is in the linked breakdown.
More from Research
- ByteDance study finds on-policy distillation leaves models 2.45-16.25% below base on out-of-distribution tasks — ByteDance · 2026-11-05
- FrontierPhysics: 56 expert tasks benchmark AI agents on end-to-end physics research — Bingran You · 2026-11-05
- VideoMemBench: new benchmark exposes major gaps in MLLMs' in-context video memory — Zhengdong Hu · 2026-11-05
- Muon-RT swaps momentum for teacher trajectory, cutting memory and beating AdamW by 2.6 points — IITK · 2026-11-05
- Self-Harness: Shanghai AI Lab's Method Lets Agents Fix Themselves, 30.2%→84.6% Without Retraining — Promptmethus · 2026-11-05
- Cartridges: 'Self-Study is a Moving Target' — a label-free metric for KV-cache compression — simran_s_arora · 2026-11-05