Daily news and analysis on artificial intelligence
We follow the labs, research groups and regulators every day, then explain what actually changed and why it matters — for the people who build, buy and make decisions about AI.
Fig. 1 — What we cover120 articles
AWS's monthly roundup adds OpenAI-powered Managed Agents in preview, a leaner AgentCore runtime, an open source Strands harness and a wave of new frontier models on Bedrock.
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Postman and AWS detail the architecture behind Agent Mode, including dynamic tool selection past a 40-tool accuracy cliff, schema-aware reads and tiered prompt caching on Amazon Bedrock.
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OpenAI's customer story credits GPT-6.1 Sol and Codex for a 76x cost drop in Asana's browser agent. The underlying numbers suggest prompt caching and history management did most of the work.
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Sophos says agents built through OpenAI's Daybreak program now resolve 52% of managed detection and response cases end-to-end, cutting average investigation time by 96%.
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MIT's Sasha Rakhlin argues that fast verification is accelerating AI in math and code, and that universities must rethink credit, training and shared research infrastructure now.
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An astrophysicist used a team of Claude agents to merge decades of UV space-telescope data and predict the third of the sky never observed. The human still caught the bug the agent reviewers missed.
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Anthropic says its OSS Scanner will send model-generated bug reports, reproducers and candidate patches to opted-in open-source projects — with no human triage before delivery.
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Anthropic's 2026 Usage Policy consolidates deception rules, tightens weapons and surveillance language, adds controls for Claude driving physical hardware, and takes effect November 12.
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OpenAI's new Oracle case study reports 130K ChatGPT users, 95K+ Codex users and a 98% cut in recruiting research time. The numbers are striking, and entirely self-reported.
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Anthropic says it will put $150 million over three years behind the federal Genesis Mission, bringing Claude to more than 15 agencies including NASA, NIH and NSF.
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FAQ
How we work, who we write for and how you can get involved. More about us.
We monitor primary sources every day: announcements from AI labs and cloud providers, university research offices, institutes and standards bodies. We write from the original announcement rather than from other people’s coverage, and every news article lists the sources it was built from.
Yes, and every article says so. Our articles are drafted by an in-house system built on a large language model that works from primary sources under strict rules: no invented numbers, no invented quotes, every claim attributed to whoever made it, and the sources listed on the article. Our editorial team sets those rules, decides what we cover, and corrects anything readers flag.
News goes out as stories appear, typically once a day. Explainers — the evergreen guides that make the news make sense — are added regularly and updated when the underlying technology changes.
No. We write for curious professionals first: product managers, founders, analysts and engineers who are new to AI. When a concept needs technical detail, we explain it in plain language and use concrete examples.
Yes. We welcome original, well-researched articles about artificial intelligence from practitioners and researchers. Use the form below to send a short pitch; we reply to every proposal that fits our editorial guidelines.
Our editorial content is independent. The site may display advertising to cover its costs, but advertisers have no influence over what we write. Any sponsored content would always be clearly labeled as such.
Accuracy matters to us. If you spot a mistake or an outdated statement, send us a note through the contact form with a link to the article. We review every report and correct confirmed errors promptly.
Yes. All articles are free to read without an account. You may quote short passages with a link back to the original article; republishing full articles requires our written permission.
Write for us
Alongside our daily coverage we publish original articles from practitioners, researchers and educators who can explain AI clearly. Send a short pitch and we will get back to you.