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

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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

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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。

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Zenn (AI)Japan

AIエージェントの評価と品質保証 — 「動く」を「信頼できる」に変える検収の技術

September 9

AIに実装を任せたあと、何を根拠に受け入れ、改善し、モデルやプロンプトを更新するか。評価仕様、課題集、コードとLLMによる評価、評価器自体の検証、複数試行、継続評価、受け入れ記録を、共通のTypeScriptアプリでつなぎます。既知の六故障を使う評価器実験、一課題を六回実装した比較、四報告のLLM判定を収録。公開サンプルと保存成果物を再評価できる手順、各章の図解、テンプレート付き。実測と未検証の範囲を分けて学ぶ実践書です。

Read at Zenn (AI) ↗

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AIエージェントの評価と品質保証 — 「動く」を「信頼できる」に変える検収の技術

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