News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
981 articles
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
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
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
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
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
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
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
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
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
A mathematician at Anthropic claims an AI model, referred to as Claude Fable 5, helped him identify a surprisingly simple counterexample challenging the long-standing Jacobian conjecture. The claim, if verified, would mark a notable case of AI contributing to pure mathematics research. Source: sciencedaily.com
As large language models power more chatbots, virtual assistants, translators and coding tools, researchers have developed a framework that boosts their speed by adapting to the underlying hardware. Crucially, it requires no additional training to achieve these gains. Source: techxplore.com
UniSpec is a new approach that accelerates large language models without any loss in output quality and without the need for retraining. It automatically adapts to different hardware setups and handles multilingual workloads with ease. Source: eurekalert.org
Google published its inaugural Gemini Report: Southeast Asia 2026 on July 14, timed with the local-language launch of its new Gemini Spark agent. The report highlights how localized AI tools could reshape travel planning and services across the region. Source: webintravel.com
The global large language model market is expected to reach USD 12.8 billion in 2026 and grow at a compound annual rate of 27.8%. Analysts forecast it will hit USD 148.8 billion by 2036. Source: futuremarketinsights.com
New research shows that people without medical training tend to blindly trust LLM-based diagnostic tools, even when the AI gives incorrect answers. Trained clinicians, by contrast, were much better at spotting and correcting the AI's mistakes. Source: goodmenproject.com
A mathematician at Anthropic claims he used the Claude Fable 5 model to find a surprisingly simple counterexample related to the Jacobian conjecture. The finding suggests advanced AI models could help mathematicians tackle open problems that have resisted proof for decades. Source: sciencedaily.com
Commentator Kathryn James criticizes Anthropic for reportedly scanning and destroying physical books en masse to build training data, rather than negotiating copyright licenses. She argues the company chose the destructive route as a shortcut around legal complications. Source: theguardian.com