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

Zenn (AI)Japan

GPT-6 Astraで業務の説明を図にする：比較・担当・情報の流れの描き分け

September 7

GPT-6 Astraに文章づくりを手伝ってもらい、特に印象に残ったのが図解を作る力でした。業務の説明には、文章だけだと追いにくい関係があります。「変更前後で何が変わるか」「誰が次の作業をするか」「回答の根拠はどこから来るか」。こうした内容を図にすると、説明の見通しがよくなります。この記事では、架空の問い合わせ対応を題材にした三つの図を紹介します。図はSVGで作り、掲載用にWebPへ変換したものです。図の種類をどう選び、何を伝えて作

Models & releases

Read at Zenn (AI) ↗

One letter a week, in your inbox.

Latest

GPT-6 Astraで業務の説明を図にする：比較・担当・情報の流れの描き分け

Related

ResearchCar-GPT: Could LLMs finally make self-driving cars happen? The Gradient

ResearchWhat's Missing From LLM Chatbots: A Sense of Purpose The Gradient

ResearchAGI Is Not Multimodal The Gradient

SiliconMeta Superintelligence – Leadership Compute, Talent, and Data SemiAnalysis

VoicesGPT-5: It Just Does Stuff One Useful Thing

VoicesFrom GPT-2 to gpt-oss: Analyzing the Architectural Advances Ahead of AI