News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
981 articles
Researchers at Indiana University used the REALLMS platform to run faster and more reproducible experiments with open-source large language models. The infrastructure has helped accelerate their work on making AI systems more transparent and understandable. Source: news.iu.edu
Apple is said to be training its own large language model for the Chinese market instead of relying on a third-party model to power AI features there. Alibaba is reportedly supporting the effort as part of a broader partnership. Source: ilounge.com
A cascade architecture filters requests before they hit the model, avoiding the need to treat every query probabilistically. The approach promises up to 6x lower inference costs for retrieval-augmented systems. Source: venturebeat.com
According to reports, Apple has trained a large language model tailored to the Chinese market with Alibaba's assistance, deepening ties tied to its Qwen partnership. This marks a departure from Apple's earlier approach of relying on third-party models for the region. Source: digitimes.com
In December 2025, Starcloud used a data-centre-grade NVIDIA H100 GPU orbiting roughly 500 km above Earth to train NanoGPT on a Shakespeare text dataset. It was a small-scale but genuine demonstration, separate from the satellite's preloaded software. Source: scienceblog.com
ByteDance founder Zhang Yiming, known for avoiding the spotlight, recently made a rare public appearance at a company all-hands meeting to discuss AI strategy. His message centered on a deliberate approach of moving slowly at first before accelerating. Source: eu.36kr.com
Citing three sources, Reuters reports that Apple developed a large language model specifically for the Chinese market in cooperation with Alibaba. The move reflects Apple's push to better tailor AI features to local regulatory and market conditions. Source: forklog.com
Most agent frameworks — including LangChain, AutoGen, CrewAI, and LangGraph — are built primarily for Python, currently the second most popular programming language overall. The article shares practical experience building LLM agents across all three languages. Source: sdtimes.com
Instead of licensing a third-party model, Apple reportedly developed its own large language model to power Apple Intelligence features in China. This marks a shift in strategy for how the company plans to bring AI tools to Chinese users. Source: appleworld.today
According to reports, Chinese authorities have approved a domestically built Apple AI model developed with support from Alibaba. Details on the exact nature of the collaboration remain limited. Source: yellow.com
Apple is reportedly pursuing a new approach to deliver AI features to Chinese customers by training its own large language model with outside assistance. This would reduce the company's reliance on external AI providers in the region. Source: 9to5mac.com
A large language model can be accurately described as a highly sophisticated prediction engine — but that simplification doesn't tell the whole story. The piece explores what actually happens under the hood when LLMs generate text. Source: lvivherald.com
A paper published in Science Advances found that LLM-based agents in multi-agent systems tend to adopt majority viewpoints, similar to herd behavior seen in animals. Researchers warn this dynamic could introduce collective bias into AI systems. Source: dongascience.com
According to Reuters, Apple developed a large language model tailored to the Chinese market in cooperation with Alibaba Group. The model will support Apple Intelligence features for Chinese users. Source: foreignpolicyjournal.com
Instead of licensing a third-party model, Apple trained its own large language model to power Apple Intelligence features in China. The move reflects the unique regulatory and competitive landscape Apple faces in the country. Source: mactech.com
When Apple Intelligence rolls out in China, it will run on a proprietary Apple-built language model rather than Google Gemini or a Chinese competitor's system. This marks a departure from Apple's approach in other markets, where it partners with outside AI providers. Source: appleinsider.com
Reuters reports, citing three sources familiar with the matter, that Apple developed a large language model specifically for the Chinese market. The project reportedly involved support from Alibaba. Source: reuters.com
Researchers are exploring knowledge editing as a way to precisely modify what a language model 'knows' by leveraging insight into its internal reasoning mechanisms. The approach aims to make targeted updates to a model's knowledge without full retraining. Source: nature.com
Xu Can, formerly a key member of Tencent's Hunyuan large language model team, has reportedly transferred to WeChat's WeLM project. The move signals WeChat AI is entering a phase of accelerated development. Source: eu.36kr.com
The new Private Large Language Model Service has launched as part of the 26.2 release of the Private AI Services Container. It gives organizations a self-hosted way to run LLM workloads within their own infrastructure. Source: blogs.oracle.com