Signal of the week

Agents & vibe coding · 116 stories, +85 vs last week

Agents & vibe coding: 116 stories in seven days, +85 on the week before.

SiliconOpenAI’s GPT-6 Astra model autonomously completes Portal in 24 hours — feat cost just $571 in tokens Tom's Hardware

LabsScaling Agentic RL: High-Throughput Agentic Training with Tunix Google Developers Blog

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Tom's HardwareSiliconOpenAI’s GPT-6 Astra model autonomously completes Portal in 24 hours — feat cost just $571 in tokens An AI enthusiast has conducted an experiment where OpenAI's new GPT-6 Astra played through the entirety of Valve's Portal 3D puzzler game on its own.

September 7

GitHub Trending (weekly)GitHubImbad0202/academic-research-skills

September 7

GitHub Trending (weekly)GitHubpunkpeye/awesome-mcp-servers

September 7

GitHub Trending (weekly)GitHubmajd/ipatool

September 7

GitHub Trending (daily)GitHubStremio/stremio-web

September 7

GitHub Trending (daily)GitHubThe-Swarm-Corporation/AutoHedge

September 7

GitHub Trending (daily)GitHubhumanlayer/skills

September 7

Nikkei Asia Technology

Nikkei Asia TechnologyJapanBRICS Summit, Okinawa election, Philippines AI plan

September 7

Nikkei Asia Technology

Nikkei Asia TechnologyJapanSouth Korea to combine 5 utilities to prepare for AI, chip power demand

September 7

Nikkei Asia Technology

Nikkei Asia TechnologyJapanUS and China eye Trump-Xi talks on AI guardrails despite tech rift

September 7

Google Developers BlogLabsRun Ray on TPU, Part 1: The foundations Ray 2.55 introduces official, first-class support for Google Cloud TPUs, enabling developers to run distributed Python workloads on Google's accelerators using the familiar Ray task-and-actor APIs. To handle the strict n

September 7

Google Developers BlogLabsScaling Agentic RL: High-Throughput Agentic Training with Tunix Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling bottlenecks when training multi-turn, tool-using LLM reasoning agents. It maximizes hardware throughput by combining highly concurre

September 7

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。