Sources
- AI at Meta / @AIatMeta
- Amazon Web Services / @awscloud
- Anthropic / @AnthropicAI
- Cursor / @cursor_ai
- Google / @Google
- Google Cloud Tech / @GoogleCloudTech
- Google DeepMind / @GoogleDeepMind
- Grok / @grok
- Hugging Face / @huggingface
- Microsoft / @Microsoft
- OpenAI / @OpenAI
- OpenClaw🦞 / @openclaw
- Sequoia Capital / @sequoia
- Tesla / @Tesla
- Twitter / @a16z
- Waymo / @Waymo
- xAI / @xai
- Y Combinator / @ycombinator
Company@X — 2026-05-04#
Signal of the Day#
Hugging Face effectively open-sourced the ML researcher role today by releasing ml-intern, an autonomous agent that handles the entire post-training loop. The system doesn’t just write code; it reads arXiv papers, walks citation graphs, reformats datasets, launches GPU sandbox training jobs, and runs its own evaluation ablations—recently pushing a model from 10% to 32% on GPQA in under 10 hours, outperforming Claude Code.