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

AWS Machine LearningLabs

The generative AI customization spectrum: From prompt engineering to custom models on AWS

September 14

<p>This post shows you how to pick the right generative AI customization approach for your workload without over-engineering or under-investing.</p> <p>AWS provides access to foundation models from Anthropic, Meta, Mistr

Read at AWS Machine Learning ↗

One letter a week, in your inbox.

Latest

The generative AI customization spectrum: From prompt engineering to custom models on AWS

Related

LabsTake on your most ambitious work with GPT-6 Astra on Amazon Bedrock AWS Machine Learning

LabsAutomate user-level custom permissions for Amazon Quick AWS Machine Learning

LabsSimplify and support your TorchServe workloads using Ray Serve Deep Learning Containers AWS Machine Learning

LabsHow Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore AWS Machine Learning

LabsICYMI: What landed for AI builders in August 2026 AWS Machine Learning

LabsDeploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM AWS Machine Learning