News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
667 articles
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
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
The piece pokes fun at self-proclaimed experts who confidently label online writing as AI-generated, often incorrectly. It argues that reliably identifying LLM-written content by eye is far trickier than most people assume. Source: towardsdatascience.com
Most large language models used by the public are quantized versions, compressed after full-precision training to run more cheaply. The article warns that safety and behavior audits performed on the original model may not fully apply to the compressed version people actually use. Source: techpolicy.press
Amazon has launched its LLM-powered Alexa+ assistant in Australia and says it took extra steps to avoid the frequent errors seen in competing chatbots. The company positions accuracy and reliability as its key differentiator in the crowded AI assistant market. Source: afr.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
Researchers evaluated a large language model's ability to assess urgency levels in pediatric emergency department triage, an area where human performance already varies widely between hospitals. The study aims to see whether AI could bring more consistency to these critical early decisions. Source: nature.com
Choosing between building a custom large language model or buying an existing one depends on several key factors. This guide outlines what companies should weigh to pick the right approach for their AI strategy. Source: techtarget.com
Running a small local language model on a laptop or smartphone is now routine. One developer took it further, demonstrating that even a cheap, low-power microcontroller can handle the task. Source: theregister.com
DeepSeek has launched V4 Flash, a high-performance AI model offering very low pricing, alongside plans for a new suite of agent tools. The update is aimed at supporting developers and enterprise AI use cases. Source: eu.36kr.com
New research suggests the human brain may do more than serve as inspiration for AI — its actual neural signals could help guide and improve how large language models reason. The findings point to potential brain-informed training methods that go beyond simple representational similarity. Source: bioengineer.org
Alibaba Group released Qwen3.8, its new flagship large language model aimed at powering AI agents for business use. The launch continues Alibaba's push to expand its Qwen model lineup for enterprise customers. Source: caixinglobal.com
Alibaba says its new Qwen3.8-Max model can autonomously handle software projects spanning more than 10 days and replicate complex research papers involving thousands of steps. The company positions it as a leap forward in agentic computer-use capabilities. Source: venturebeat.com
Alibaba unveiled Qwen3.8-Max, the newest model in its Qwen lineup, featuring notable improvements in autonomous coding and research capabilities. The release builds on the company's ongoing push into agentic AI. Source: entarabi.com
JetBrains has open-sourced KotlinLLM, a research prototype that lets developers delegate runtime logic from Kotlin code to a large language model. The project explores how LLMs can handle dynamic program behavior traditionally written in code. Source: i-programmer.info
On June 22, Chinese AI developer Zhipu AI surpassed a market valuation of HK$1 trillion, becoming one of the first Chinese large-model companies to hit that milestone. The achievement highlights the accelerating competition among Chinese AI firms building large language models. Source: chinatoday.com.cn
Alibaba introduced Qwen3.8-Max on Monday, marking a significant upgrade within its Qwen model family. The company highlights major improvements in the model's overall capabilities. Source: news.az