Latest

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

開催予定

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every three hours, linked to the original

About

Accept All is a magazine, a radar and a diary about artificial intelligence and the craft of code — read from Tokyo, for people who build.

The name is the button. Code is written by agents now and reviewed by a human thumb that hovers over Accept all a hundred times a day; the whole question of this decade is what, exactly, you just accepted. So we read the diff. A magazine, because every week one model, one tool or one idea is worth reading about slowly. A radar, because we count what the labs, the Valley, GitHub and the chip makers are talking about — releases, agents, open weights, compute, funding, rules — and show it as it moves. A diary, because a seal is set each day in that day's colour, and the days add up.

We read the research labs' own posts, the American and European tech press, the Japanese and Chinese developer sites and the newsletters people actually forward, and bring it together in English and Japanese. Everything here links back to the people who wrote it; the images belong to their authors.

Accept All will keep changing. New sources, new signals, new ways of looking — a little better each week, never finished. If something here made you open a terminal, that is enough.

Thank you for reading. ありがとうございます。

← Accept All 週ごとのアーカイブ

MIT News AIResearch

Helping AI models to meet the real world

7月14日

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

Profile Faculty Artificial intelligence Algorithms

MIT News AIで読む ↗

Latest

Helping AI models to meet the real world

関連する記事

Research3 Questions: Neural transparency and the future of AI design MIT News AI

ResearchA better way to turn 2D designs into 3D models for rapid prototyping MIT News AI

ResearchFollowing the questions where they lead MIT News AI

ResearchProfessor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83 MIT News AI

ResearchMIT projects selected for funding under US Department of Energy’s Genesis Mission MIT News AI

ResearchHow a medical database developed at MIT evolved into a global standard of data-sharing MIT News AI