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 cover151 articles
OpenAI's customer story on India's cult.fit claims 20-plus internal apps built by non-engineering teams, $100,000 in avoided software costs, and a 50% cut in support spending.
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MIT researchers built a memory system that scores how confident a vision-language model is about objects a robot has seen, then re-captions the shaky ones. Early numbers are modest but pointed.
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DeepMind says a new set of Cheminformatics Skills lets an agent in Google Antigravity curate literature compounds, train potency models and propose macrocycles in about an hour. No wet-lab validation was reported.
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OpenAI says it is more than quadrupling the midpoint of its medium, high and critical reward ranges, and adding quality, loyalty and campaign multipliers that stack on the base award.
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MIT's LLM Election Observatory re-runs a fixed set of election questions through popular chatbots every few days, logging how answers shift by model, framing and stated user identity.
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OpenAI says it will respect a common robots.txt signal, developed through the IETF's AI Preferences working group, that lets site owners set training preferences once for multiple AI providers.
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OpenAI says it made more than 200 law enforcement referrals in Q3 2026 and will publish a recurring Community Safety Report starting in early 2027, alongside new limits for minors.
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OpenAI has reorganized its public rulebook for model behavior around five values, added guidance on context and agency, and retired most of its detailed style rules.
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ServiceNow will route workflow actions into ChatGPT and put OpenAI models behind development, security and voice features. Today's shipping piece is an MCP plugin; the rest lands in 2027.
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Google DeepMind's new world model generates interactive environments with ambient sound and dialogue, and uses Gemini models to plan multi-step events. It's a trusted-tester preview with no benchmarks attached.
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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.