Topic
#Taalmodellen
-
Nvidia releases open AI models for digital assistants on servers and laptops
Nvidia has released three new open AI models for assistants that carry out tasks on their own. The largest runs in companies' data centres; the smaller ones simply work on a laptop. According to Nvidia, the large model beats top models on specialist tasks after extra training.
-
Does Claude learn by playing on a desert island?
MIT researchers let the AI assistant Claude loose on a virtual island for thirty hours without any task. It invented its own games, made drawings with blocks and did small experiments. With that experience, it later did better on most new tasks than a version of Claude without that play experience.
-
Made-up company data with a known answer teaches AI agents to analyse better
Researchers from Meituan and Chinese universities build fake worlds full of messy files, and they know exactly what lies behind them. That makes it possible to check whether an AI agent really draws the right conclusion. A model that practised with them became clearly better at data analysis.
-
Researchers let an AI agent think partly without words: faster and cheaper
Researchers from Stanford and Together AI let an AI agent do part of its thinking without writing it out. It only switches to text to look something up or to answer. According to them, it works up to 2.6 times faster this way and scores better than comparable systems.
-
MIT teaches AI to see how crystals are built, and that helps the search for new materials
Language models know a lot about materials, but cannot 'see' how a crystal is built. MIT researchers linked 3D structures to descriptions in plain language. As a result, their model finds better candidates, for example for batteries.
-
Gemini gets a real desktop app, with a shortcut to Google's programming agent
Google now has a Gemini app for Mac and Windows. Since 13 October, one button on the Mac also opens Antigravity, Google's AI programming environment. This gives Google its own answer to ChatGPT with Codex and Claude with Claude Code, although it is not yet all in one app.
-
Meta releases Muse Spark Open: a large AI model for programming that also runs on your own computers
Meta has released Muse Spark Open, a large AI model for programming and independent agent tasks that anyone can download. According to Meta, it is the strongest American open model so far, and it even runs on two Mac Studios.
-
Gemini 4 Argon widely available: Google back among the leaders
Google has rolled out Gemini 4 Argon widely. On paper it beats GPT-6 Astra and Claude Opus 5.5 on 13 of 19 benchmarks, but independent measurements put it alongside the competition, not above it. The biggest leap is in price, long context and science.
-
Is AI just a remix machine? Mathematicians debate the rubber band around all knowledge
Now that AI finds mathematical proofs on its own, scientists are debating: is that truly new work, or clever combining of what was already known? An image of nails and a rubber band sharpens the question. According to an economist, that very combining holds the next big leap for all of science.
-
AI agent solves 49 of 50 new research problems in theoretical physics
An AI agent based on GPT-6 Astra solved 49 of 50 unpublished physics problems, for less than 3 dollars each. These are heavy calculations that would take a top expert a day. The researchers mainly see a powerful calculation assistant.
-
OpenAI publishes 719 mathematical manuscripts from a not-yet-released AI model
OpenAI has published 719 mathematical manuscripts on GitHub, produced by an unreleased internal model. According to the advisory group AGMAI, they contain solutions to 'hundreds' of open questions. Independent review has yet to begin.