Robot control systems that accept only text input struggle to translate words into motions in space. Researchers developed a system that enables robots to plan spatial paths before they execute text instructions.
The first offering from Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, aims to simplify — and democratize — the process of fine-tuning AI models.
DeepSeek’s latest large language model can cut inference costs by more than half and processes long contexts dramatically faster relative to its predecessor.
The approach known as LoRA streamlines fine-tuning by training a small adapter that modifies a pretrained model’s weights at inference. Researchers built a model that generates such adapters directly.
Alibaba rounded out the Qwen3 family with its biggest large language model to date as well as smaller models that process text, images, video, and/or audio.
Anthropic updated its mid-size Claude Sonnet model, making it the first member of the Claude family to reach version 4.5. It also enhanced the Claude Code agentic coding tool with long-desired features.
Researchers built a model that integrates satellite imagery and other sensor readings across the entire surface of the Earth to reveal patterns of climate, land use, and other features.
Researchers used AI models to create novel viruses from scratch.
Fine-tuning large language models via reinforcement learning is computationally expensive, but researchers found a way to streamline the process.
What do ChatGPT’s 700 million weekly active users do with it? OpenAI teamed up with a Harvard economist to find out.
Google launched an open protocol for agentic payments that enables agents based on any large language model to purchase items over the internet.
A new type of transformer can check its work. Instead of guessing the next output token in one shot like a typical transformer, it starts with a rough version of the token and improves it step by step.
Alibaba updated its popular Qwen3 open-weights models with a number of fresh, speed-boosting tweaks.
An alternative to attention enables large language models to track relationships among words across extraordinarily wide spans of text.
Autonomous agents built on large language models introduce distinct security concerns. Researchers designed a system to protect agents from common vulnerabilities.
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