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

On view

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 Archive

The GradientResearch

Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research

November 16

What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involving carefully designed and mathematically principled architect

Read at The Gradient ↗

Latest

Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research

Related

ResearchThe Artificiality of Alignment The Gradient

ResearchNeural algorithmic reasoning The Gradient

ResearchSalmon in the Loop The Gradient

ResearchDeep learning for single-cell sequencing: a microscope to see the diversity of cells The Gradient

ResearchWhy Doesn’t My Model Work? The Gradient

ResearchDo text embeddings perfectly encode text? The Gradient