GPT-5.1 news
The latest GPT-5.1 news, : Voxel51 launches 3.0 platform for physical AI data workflows.
GPT-5.1 is OpenAI’s 2026 large‑language model released in November, highlighted for its improved coding capabilities. Recent coverage notes its inclusion in an MIT study where OpenAI models solved 35 % of theoretical problems across fields, and it is featured in Simon Willison’s review of 2026 LLM trends alongside Claude Opus 4.5 and coding agents.
3 stories mentioning GPT-5.1 since 27 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.
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Voxel51 launches 3.0 platform for physical AI data workflows
Voxel51 introduced Voxel51 3.0 on October 15, 2026, an end-to-end multimodal data platform designed for teams working on physical AI—including robotics, autonomous systems, manufacturing, and healthcare. The update…
2 sourcesMarkTechPostUnite.AI -
MIT study finds AI solved 35% of theory problems by mid-2026
A new study from MIT’s Neil Thompson and collaborators shows AI models now solve about 35% of theoretical problems in probability, statistics, economics, physics, and cosmology—up from 2% in mid-2024. The research…
4 sourcescryptobriefing.comnote.combostonglobe.comWired AI -
Simon Willison reviews 2026 LLM trends including Claude Opus 4.5, GPT-5.1, and coding agents
Simon Willison gave a keynote at the WeAreDevelopers World Congress North America in San Jose on Friday, reviewing key AI trends from 2026. He noted that November saw the release of Claude Opus 4.5 and GPT-5.1, which…
1 source HN 5Simon Willison
Questions about GPT-5.1
What is the latest GPT-5.1 news?
As of 15 October 2026: Voxel51 launches 3.0 platform for physical AI data workflows. Voxel51 introduced Voxel51 3.0 on October 15, 2026, an end-to-end multimodal data platform designed for teams working on physical AI—including robotics, autonomous systems, manufacturing, and healthcare.
What is GPT-5.1?
GPT-5.1 is OpenAI’s 2026 large‑language model released in November, highlighted for its improved coding capabilities. Recent coverage notes its inclusion in an MIT study where OpenAI models solved 35 % of theoretical problems across fields, and it is featured in Simon Willison’s review of 2026 LLM trends alongside Claude Opus 4.5 and coding agents.