Curated research papers, frontier lab engineering, researcher threads & audio briefings.
Benchmark compression reduces the often prohibitive time and cost of model evaluation by evaluating models on a small benchmark subset that closely matches full-benchmark results.
We present WeLM-Image, a unified image foundation model that integrates multimodal understanding into text-to-image generation, instruction-guided editing, and multi-reference synthesis.
Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift.
Egocentric human video offers a scalable source of manipulation priors for robot learning, yet translating raw data scale into generalizable robot policies demands rigorous data curation and training recipes.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work, and cyber defense, rolling out soon.
I’ve been a longtime Claude Code user, ever since it became available in the Claude Pro subscription plan over a year ago.
Community note: Original source appears to be Bloomberg, with State of AI being some kind of AI-written site run by a spam company.
Community note: > Is it public? > > Search your GitHub organization for .claude/settings.local.json and .claude/settings.json. Each hit is a file anyone can read right now.
Most of the changes I make to my projects these days come in the form of PRs opened for me by Claude Code or Codex. The PR is my unit of work - I use them to bundle commits together, iterating on them until a feature is complete, document decisions and then merge the finished result.
Scaling laws are one of the most critical empirical findings in deep learning.
How do organizations decide what AI should do, where to set boundaries, and when to keep humans in control? In this special episode, we bring you three more talks from the Midwest AI Summit, exploring how organizations are putting AI into practice.