The Archive

Storage-scalable knowledge-base reuse quantization for semantic communication via progressive refinement.

Federated learning framework for aging clock prediction using trust networks across distributed medical centers.

Feasibility taxonomy of 20 inference-time AI governance mechanisms as regulatory focus shifts from training to deployment.

If you want to manufacture in space—and bring the products back again—there’s a limited set of options: Wait to go to the International Space Station, or partner with a handful of start-ups launching spacecraft that spend time in orbit before they return to Earth. But the vehicle that goes to space and comes back to […]

Systematic evaluation and benchmarking of molecule generation models for de novo drug design workflows.

Research Attention Prediction benchmark: LLM agents predicting paper-share shifts across 278 AI/ML fields over 1,390 episodes.

Hybrid quantum-classical NLP classification pipeline using dimensionality reduction on sentence embeddings for variational quantum circuits.

Statistical approach to generalized zero-shot learning bias using handwritten word recognition over large vocabularies.

As it grapples with a bevy of lawsuits, Suno said its new model, Suno v6, is not trained using music it used to train previous versions of the AI model.

Students who use AI to help them study tend to perform worse at school than those who don't, according to data from a global OECD educational report. The situation is more complex than it sounds though, with certain types of AI use giving learners a slight boost, especially among students taught to critically assess how well the AI tools perform. The OECD's Programme for International Student Assessment (PISA) takes data from countries around the world every few years. This year's study, based on data collected in 2025, is the first to be carried out since AI use went truly mainstream. It tes...

Physics-informed multi-task neural network for Martian thermosphere modeling across four neutral species using MAVEN observations.

Mistral AI agents successfully migrated 40,000 lines of Fortran 77 to C++ for a European energy operator.

Reference-based bias detection in LLMs via relative hidden-state representations, comparing model variants without output benchmarks.

NOPE-HYPE: structured workflow for robust speech-to-text using controllable environment simulation and PSD template optimization.

Man with bipolar disorder sued OpenAI after surviving ChatGPT-linked suicide attempt.

OpenAI releases GPT-6 Astra, claiming advances in reasoning, computer use, writing, and design for enterprise applications.

OpenAI advances mathematical reasoning; Meta launches Muse personal agent with practical deployment implications.

A senior Anthropic safety researcher has said there is more than a 10 percent chance artificial intelligence "could kill all humans" by the end of the decade, just hours after a colleague resigned over fears the AI lab and its rivals are carelessly racing to build "superhuman systems" they cannot control. In a post on X announcing his departure, Jacob Coxon, a researcher who has trained AI systems at Anthropic, said he had quit the company over its lax approach to safety. Coxon, who previously trained systems for OpenAI, accused the two AI companies of "racing straight to self-improving super...

Microsoft Edge team automates quality checks after influx of AI-generated browser extensions.

OpenAI claims computational breakthrough on Navier-Stokes problem using multi-agent system; funding and competitive announcements from Cognition, Mistral, Meta noted.

OpenAI’s latest mathematical milestone has quickly become mired in controversy. Today, the company announced that its agents have solved one of the Millennium Prize Problems, some of the most important open problems in mathematics. Under normal circumstances, that solution would be a huge feather in OpenAI’s cap. But the announcement has been overshadowed by accusations…

Simon Willison flags concern that AI-accelerated research consumption may exhaust open problems and discourage scientists from sharing directions, threatening open science norms.

OpenAI used unreleased model to resolve Navier–Stokes Millennium Prize Problem; Tristan Buckmaster disputes Levent Alpöge's role.

OpenAI releases ChatGPT Images 2.5 with two API variants (Sunburst, Flare) offering improved multi-turn instruction-following, faster generation, and better subject preservation in reference images.

Security gnomes are pumping out patches ahead of an expected onslaught of AI-assisted attacks.

Last month, a Claude user noticed his account was consuming tokens even though he wasn't working. Anthropic has since warned users about hackers.

Cognition's valuation multiple is higher than Cursor's was before selling to SpaceX.

OpenAI says it found a solution to a major math problem that has remained unsolved for around 90 years, as reported earlier by The New York Times and Wired. In a blog post on Tuesday, OpenAI announced that it discovered a solution to the Navier-Stokes problem - which relates to the flow of liquid and gas - using an internal AI model more powerful than the newly released GPT-6 Astra alongside 10,000 concurrent agents. The Navier-Stokes problem is one of seven Millennium Prize Problems, each of which comes with a $1 million reward for solving. OpenAI says it started training the internal AI mod...

I used ChatGPT and its Sketch tool to make this AI-generated image of a cat. OpenAI announced ChatGPT Images 2.5 on Tuesday and is adding a new way to tell ChatGPT what you want it to make an image of: by drawing a doodle. With a new feature called Sketch, you can just draw something right inside ChatGPT and then tell ChatGPT how you want it to make an image based on that sketch. You can activate the Sketch feature by typing @Sketch into your chat box, and a window will pop up where you can make your drawing. I briefly tested it, and it successfully turned my bad doodle of a cat that I drew w...

Meta is making another push to bring artificial intelligence to the masses with Muse, a personal assistant it says can put AI in the hands of virtually anyone. The product is the latest step in a multi-billion dollar strategy overhaul designed to revitalize the company's ailing position in the AI race and help it catch up to rivals like OpenAI, Anthropic, and Google. Muse is a "personal AI agent" designed to help out with everyday tasks and projects, like online shopping, sending emails, and planning a trip. Once given a goal, Meta says Muse can work on its own, opening a browser, filling out...