Gpt 6.1 sol released
Gpt 6.1 sol released
Context
Verified source: OpenAI introduced GPT-6.1 Sol on Sep 29, 2026, and its system card addendum carries the same date. GitHub's changelog of Sep 29 says it is generally available and rolling out in GitHub Copilot.
The Sep 29, 2026 release date matches OpenAI's system card and GitHub's changelog. The post is only a three-word note with no claims beyond the release. Sol's pricing and the Astra cancellation the day before are covered in the related note.
Related work
- OpenAI Scraps Release of New AI Model Over Safety Concerns, The Wall Street Journal ↗The Astra cancellation the day before.
Watch next
- Read the Sol post for benchmarks against Astra.
Sources
- Introducing GPT-6.1 Sol, OpenAIopenai.com
- GPT-6.1 Sol System Card, OpenAIcdn.openai.com
- GPT-6.1 Sol in GitHub Copilot, GitHub Changeloggithub.blog
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 29 September 2026 at 22:34 IST. Sources are the papers and datasets the note draws on.
View the original post ↗Embed this note
More notes
The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
read the note →