- Fast Gemma Challenge (Google + Hugging Face): coding agents collaborate to serve Gemma 4 E4B faster - speeding up inference (tokens/sec) without degrading quality. The model is unchanged; the agents do the optimization. post · dashboard
- Microsoft SkillOpt (open source, MIT): instead of fine-tuning the model, it keeps improving an agent's plain-text instructions file - like training, but the "weights" are words. ~23-25% accuracy gains; ships as a small text file. VentureBeat · GitHub
- Anthropic, "When AI builds itself": Claude already authors 80%+ of code merged at Anthropic, and its typical engineer now merges ~8x as much code per day as in 2024. It's also increasingly doing the research - picking the better next research step 64% of the time (up from 51%). essay