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

With a feel for physics, AI models simulate a wider range of real-world scenarios

8月10日

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

Chips & compute Research Computer modeling Artificial intelligence Computer science and technology

MIT News AIで読む ↗

SiliconIntel 18A Details & Cost, Future of DRAM 4F2 vs 3D, Backside Power Adoption (or Not), China’s FlipFET, Digital Twins from Atoms to Fabs, and More SemiAnalysis

SiliconScaling the Memory Wall: The Rise and Roadmap of HBM SemiAnalysis

SiliconH100 vs GB200 NVL72 Training Benchmarks – Power, TCO, and Reliability Analysis, Software Improvement Over Time SemiAnalysis

MIT News AIの他の記事

Latest

With a feel for physics, AI models simulate a wider range of real-world scenarios

関連する記事

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

ResearchThe benefits of medical AI assistance vary based on user expertise MIT News AI

SiliconMeta Superintelligence – Leadership Compute, Talent, and Data SemiAnalysis

SiliconIntel 18A Details & Cost, Future of DRAM 4F2 vs 3D, Backside Power Adoption (or Not), China’s FlipFET, Digital Twins from Atoms to Fabs, and More SemiAnalysis

SiliconScaling the Memory Wall: The Rise and Roadmap of HBM SemiAnalysis

SiliconH100 vs GB200 NVL72 Training Benchmarks – Power, TCO, and Reliability Analysis, Software Improvement Over Time SemiAnalysis