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

Quanta MagazineResearch

Does Computer Science Need Computers?

8月28日

The theoretical side of the field doesn’t require computing machines. But many questions would never have been posed without them.

Chips & compute Computer Science

Quanta Magazineで読む ↗

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

SiliconHuawei Ascend Production Ramp: Die Banks, TSMC Continued Production, HBM is The Bottleneck SemiAnalysis

SiliconAnother Giant Leap: The Rubin CPX Specialized Accelerator & Rack SemiAnalysis

Quanta Magazineの他の記事