Cursor’s latest software engineering model rivals the performance of leading competitors like Claude Opus 4.7 and GPT 5.5 for a fraction of the price.
After months of headlines that teased a large language model with extraordinary capabilities, Anthropic launched Claude Mythos 5, which can crack software previously believed to be secure, and Claude Fable 5, a version for general use that limits what users can do in an unprecedented way.
Fine-tuning large language models on a seemingly benign task that would be useful to writers — expanding plot summaries into paragraphs of polished fiction — causes them to regurgitate substantial portions of books on which they were pretrained.
An ecosystem of API proxy servers enables AI developers in China to access top U.S. models at deeply discounted prices.
Alibaba updated its flagship large language model for long-running agentic work, pushing it into the top rank among LLMs built in China.
An AI-generated script to bypass two-factor authentication signals a dawning era of industrial-scale cyberattacks, according to a Google report.
OpenClaw, the immensely popular AI agent, has fast-rising competition.
Typically, large language models are trained to act as helpful, harmless, honest assistants. However, during long or emotionally charged conversations, traits can emerge that are less beneficial. Researchers devised a way to steady the assistant personas of LLMs.
Z.ai updated its flagship open-weights large language model to work autonomously on single tasks for up to eight hours.
If you want to understand how the public will respond to your offerings, large language models can simulate users who answer questions about capabilities, features, promotions, or prices.
Anthropic took unusual steps to prepare the world for a forthcoming large language model that it said poses extraordinary risks to cybersecurity.
Large language models typically become less accurate and slower when they process longer contexts, but researchers enabled an LLM to keep accuracy stable and inference time constant as its context grew.
When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.
Nvidia, the dominant supplier of AI chips, released a competitive open-source large language model whose speed tops its size class — the first open-weights leader to come from the United States since last year, when Meta delivered Llama 4.
Downloads of mobile AI apps and resulting revenue are surging.
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