News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
719 articles
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
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
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
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
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
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 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
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
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
According to a new breakdown, every RAG (retrieval-augmented generation) system is built on three engineering layers stacked around a single LLM call: prompt engineering, context handling, and the surrounding loop logic. Prompt engineering itself covers the system message and how the call is structured. Source: towardsdatascience.com
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
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
Washington is reportedly weighing a ban on foreign open-source AI models. Analysts warn the restriction would drive up costs for many US companies relying on them. Source: scmp.com
Large language models are usually associated with power-hungry GPUs and huge memory pools. This project shows a compact 28.9M-parameter model can instead run on a cheap, tiny microcontroller. Source: hackster.io
Many teams are adding knowledge graphs to their RAG pipelines by default. A look at recent research examines whether GraphRAG genuinely improves answer quality compared to standard vector-based RAG. Source: venturebeat.com
Pilot projects with the governments of Uruguay and Brazil tested Model Context Protocol (MCP) as a structured way for AI systems to access current, reliable open data. Source: govinsider.asia
Thailand is developing its own large language models, including ThaiLLM, led by the Big Data Institute, as part of a broader push toward AI sovereignty. Source: bangkokpost.com
The European Commission is reportedly considering swapping out US-based technology in a digital recruitment platform for European cloud and AI alternatives. Source: euractiv.com
A detailed report examines an AI investment strategy backed by Wang Huiwen's family office, covering the full industry chain from foundational technology research to AI agents. Source: eu.36kr.com