GPT-5.6 Autonomously Trains Local Models
dkundel · x · 2026-07-10
A post showcases an end-to-end automation case using GPT-5.6: starting from a single prompt, the model generated a complete training pipeline and trained a language model from scratch on a local Mac. The resulting model can even generate replies mimicking the author's writing style based on their iMessage history, proving this workflow can directly produce usable, personalized results.
More from coding & agent
- An MCP server signs every AI agent tool call into a verifiable Merkle chain — Funky_Chicken_22 · 2026-07-22
- Annotated transcript of a Claude Code team interview is now available — trq212 · 2026-07-22
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22
- BUZZ launches as an open-source group chat layer for teams and agents — Scobleizer · 2026-07-22
- A Firecracker-based platform says it can host 6,000 AI agents on one 256 GB server — maritime_sh · 2026-07-22
- A better path to agent autonomy is running waves, finding friction, and iterating — JnBrymn · 2026-07-22