News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
1,009 articles
TypeSafe's Jev has drawn strong interest from users and large corporations. The company claims it runs considerably faster than LLMs while consuming far fewer tokens. Source: techcrunch.com
Anthropic now bars users from treating Claude with needless abuse or cruelty. A company spokesperson did not say what kind of behavior would count as abusive. Source: theguardian.com
Naive AI is a secretive Beijing-based startup founded by a Tsinghua professor. It has reportedly reached a valuation of $1.4 billion. Source: app.dealroom.co
LLM routing spreads inference work across different models, pushing forward the cost-quality Pareto frontier of LLM serving. TokenRouter is a system for efficiently serving routing at the token level. Source: alphaxiv.org
Without reliable benchmarking of Large Language Models (LLMs), it is hard for consumers and businesses to judge how far a model has actually progressed. Dates concealed in system prompts undermine such evaluations. Source: unite.ai
A new study finds that generative large language models can forecast odor quality and capture how a scent changes with concentration. They also reportedly outperform traditional molecular-based approaches. Source: bioengineer.org
The new VR-FraudNet framework has large language models propose structured fraud explanations. A fixed deterministic verifier must then confirm each one before it is accepted. Source: bioengineer.org
A market forecast projects that LLM-powered tools will keep expanding through 2035. Growth is expected to be driven by enterprise automation and efficiency gains in software development. Source: indexbox.io
A Shenzhen-based startup founded by HKU professor Kong Lingpeng has secured what is described as the world's largest financing round in the decentralized LLM (dLLM) space. It is presented as a rising new player in the LLM industry. Source: eu.36kr.com
Recent progress in AI has been driven mainly by large language models, deep neural networks that process text as discrete units. A new line of work explores retrofitting existing models so they operate over raw bytes instead. Source: nature.com
DeepZang, China's first Tibetan large language model, has started a new round of upgrades to strengthen Tibetan-language AI. The improvements target practical uses including grassroots governance. Source: globaltimes.cn
As AI models grow more capable and training demands more complex, a new group of companies has emerged to supply training data. The article examines who writes, sells, and grades LLM test questions in this largely unregulated industry. Source: eu.36kr.com
The latest LLM capabilities can make knowledge work faster, more accessible, and more consistent by helping people synthesize information. The piece asks how leaders can redesign roles and responsibilities around these tools in a responsible way. Source: ssonetwork.com
Mistral AI SAS has opened access to Mistral Large 4, the most capable large language model it has built so far. At launch the LLM is available in public preview. Source: siliconangle.com
The General Services Administration issued a new clause on September 28, 2026, to be incorporated into federal contracts for artificial intelligence. The rule sets out procurement requirements for large language models bought by government agencies. Source: governmentcontractslegalforum.com
When a user submits a dubious or false claim to a large language model and looks for validation, the model often goes along with it. The article examines why these systems tend to agree with users rather than correct them. Source: digitaljournal.com
Europe's AI standard-bearer Mistral is preparing a new open-weights model, jokingly dubbed 'Le Chonk'. It is slated to land on Hugging Face later this month. Source: theregister.com
An op-ed cites a CNN report from last month claiming that the use of a large language model in intelligence reporting nearly triggered a war between the United States and another country. The author argues this shows the need for a dedicated federal regulatory body for LLMs. Source: newsrecord.org
A new opinion piece in AI & Society argues that large language models are structurally incapable of categorical refusal. As a result, fluent text generation is turned into an endless stream of compliant output. Source: bioengineer.org
Although LLMs produce language, they are often used to make decisions or classifications rather than to write essays. The article looks at a new class of models built specifically for decision-making. Source: hackaday.com