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.
U.S. states are continuing to enact laws that regulate AI, despite President Trump’s efforts to discourage state-by-state legislation in favor of national laws.
Generative AI has proven that it can produce text, images, audio, video, and code. The world’s most valuable pharmaceutical company is betting billions that it can produce drugs as well.
Meta pivoted from its open-weights strategy to deliver a closed alternative.
Simulating complex physical systems through traditional numerical methods is slow and expensive, and simulations based on machine learning are usually specialized for a specific type of system, such as water in a pipe or atmosphere surrounding a planet.
An open-weights model could help scientists compare the impact of genetic variations, identify mutations that cause diseases, and develop treatments.
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.
Google added a music generator to Gemini and YouTube, putting a model that produces synthetic songs in front of hundreds of millions of users.
The inner workings of the popular coding agent Claude Code are available for all to see.
When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.
xAI launched a video generator that topped an independent quality ranking at a fraction of competitors’ prices.
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.
Multimodal models typically use different tokenizers to embed different media types, and different encoders when training to generate media rather than classify it.
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