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Nature Machine Intelligence

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Nature Machine Intelligence

Nature Machine IntelligenceResearchQuantum neural operators with implicit quadratic frame and expressivity advantages Nature Machine Intelligence, Published online: 03 September 2026; doi:10.1038/s42256-026-01289-7 Wang et al. introduce a hardware-efficient quantum neural operator that overcomes classical linear capacity limits. Using a

Nature Machine Intelligence

Nature Machine IntelligenceResearchNucleicBERT interprets RNA sequence space through self-supervised language modelling Nature Machine Intelligence, Published online: 03 September 2026; doi:10.1038/s42256-026-01295-9 RNA structure and function are hard to infer because annotations are scarce, despite abundant sequence data. Upadhyay et al

Nature Machine Intelligence

Nature Machine IntelligenceResearchSteering machine reasoning with brain signals Nature Machine Intelligence, Published online: 01 September 2026; doi:10.1038/s42256-026-01302-z Representational alignment can reveal similarities between human brain activity and language models. Work now demonstrates

Nature Machine Intelligence

Nature Machine IntelligenceResearchImplicit-bias-like patterns in reasoning models Nature Machine Intelligence, Published online: 01 September 2026; doi:10.1038/s42256-026-01300-1 Lee and Lai study bias-like processing differences in large language reasoning models and find that, for most models, proce

Nature Machine Intelligence

Nature Machine IntelligenceResearchEnhancing reproducibility in hybrid Earth system models Nature Machine Intelligence, Published online: 28 August 2026; doi:10.1038/s42256-026-01299-5 AI integration in Earth system models enhances prediction and modelling capabilities but also amplifies challenges for reprodu

Nature Machine Intelligence

Nature Machine IntelligenceResearchLarge language models as uncertainty-calibrated optimizers for experimental discovery Nature Machine Intelligence, Published online: 28 August 2026; doi:10.1038/s42256-026-01283-z Although language models can be helpful in molecular design, they are not typically calibrated for uncertainty. Rankovic and c

Nature Machine Intelligence

Nature Machine IntelligenceResearchThe epistemic debt of generative AI Nature Machine Intelligence, Published online: 26 August 2026; doi:10.1038/s42256-026-01294-w When authors use generative AI in cognitive tasks, without spending time and effort to understand the output, a gap opens betw

Nature Machine Intelligence

Nature Machine IntelligenceResearchLife-inspired interoceptive artificial intelligence for autonomous and adaptive agents Nature Machine Intelligence, Published online: 26 August 2026; doi:10.1038/s42256-026-01296-8 Lee, Oh et al. propose interoception as a biologically inspired framework for building more autonomous and adaptive AI agents,

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

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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。