News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
709 articles
A Stanford CS229 machine learning lecture offers a concise walkthrough of how ChatGPT-like large language models are constructed. It's part of the university's broader AI curriculum available to the public. Source: mshale.com
Despite Beijing's push for domestic chip independence, China's top AI developers continue to rely on Nvidia hardware to train their most advanced models. Industry sources say local chips still lag behind in meeting the demands of cutting-edge LLM development. Source: amp.scmp.com
Researchers at UNIST developed GMoE, a mixture-of-experts architecture that reduces the parameter count of language models by 63% while keeping performance intact. The approach could make large AI models cheaper and easier to deploy. Source: en.sedaily.com
Chinese AI firm DeepSeek has released its most advanced large language model, DeepSeek R1, as a free web app open to anyone. Early comparisons suggest it could match or even outperform OpenAI's most capable model in certain tasks. Source: mashable.com
A report says a North Korean hacking group has developed large language model tools and gathered software designed to automate cyberattacks and analyze stolen data. The tools could help the group scale up its operations and process compromised information faster. Source: reuters.com
Chinese researchers have released an open-source AI framework designed to help detect and decode rare genetic diseases through DNA analysis. The team says making the tool freely available aims to ensure more equitable access to precision medicine worldwide. Source: scmp.com
Kimsuky, a hacking group linked to North Korea's Reconnaissance General Bureau, has reportedly set up its own locally hosted large language model to support cyberattacks. The system is said to help automate parts of the group's operations targeting South Korean targets. Source: biz.chosun.com
AI models are increasingly beating human physicians on standardized medical tests, though full takeover of healthcare remains unlikely soon. Experts argue AI could still play a much bigger role in assisting doctors if adopted more widely. Source: reason.com
Apple has formally integrated Alibaba's Qwen AI model into Apple Intelligence for users in China. The model can be accessed through Siri, giving Chinese iPhone users a locally compliant AI option. Source: voi.id
Researchers propose Arbitrage, a technique that uses advantage-aware speculation to make long chain-of-thought reasoning in large language models more computationally efficient. The approach aims to cut costs without sacrificing reasoning quality. Source: machinelearning.apple.com
SK Telecom and Rebellions are building out domestic AI inference infrastructure in South Korea, even as Nvidia chips remain dominant for training sovereign AI models globally. The move underscores efforts to strengthen local alternatives in AI hardware. Source: upi.com
A new benchmark evaluated 36 large language models on 759 questions from the BIRD-SQL dataset, requiring each model to identify the correct database among 11 options before writing SQL queries. The test measures how accurately different LLMs translate natural language into working SQL. Source: aimultiple.com
Researchers examine how large language models used in healthcare can embed linguistic bias that undermines health equity. The paper calls for linguistic justice as a way to mitigate these risks. Source: nature.com
The Qwen3 series reflects a broader trend of AI models growing more capable at complex reasoning, coding, and everyday applications. Different versions are tailored to different use cases and performance needs. Source: trendhunter.com
A co-founder of super{set} argues that businesses face a data dilemma similar to publishers who once handed content to Google — once information trains a large language model, it can't simply be extracted or audited afterward. The comment raises questions about data control and accountability in AI training. Source: ppc.land
Chinese tech giant ByteDance is developing a new large language model said to feature 10 trillion parameters, which would make it larger than Anthropic's flagship model. Details on training data and release plans remain unclear. Source: mezha.ua
AMD's acquisition of Taalas targets the memory bottleneck that slows down GPU-based AI inference. Taalas' approach permanently encodes model weights into transistors, removing the need for DRAM during inference. Source: techtimes.com
Tencent is expanding international availability of Hy3, its open-source large language model. The model is built for reasoning, coding, instruction-following and AI-agent tasks. Source: gulfbusiness.com
Insurance giant Allstate has launched a proprietary large language model named ALLIE. CEO Tom Wilson said the company follows a 'technology-driven strategy' rather than one merely supported by technology. Source: insurancejournal.com
Jonathan Schaeffer, professor emeritus at the University of Alberta, has developed a local AI platform aimed at researchers, writers and legal professionals wary of sending sensitive data to cloud services. The tool runs AI processing directly on users' own machines. Source: govtech.com