News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
973 articles
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
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
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 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
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
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
Reports indicate Anthropic's Claude has been embedding steganographic markers in API requests. Here's what that practice could mean for developers building on the platform. Source: sitepoint.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
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
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
Sakana AI has released Sakana Namazu, a Japanese-focused LLM API built on top of Kimi K2.6. The service is designed to better understand business context and support agentic tools. Source: startuphub.ai
In October, Advanced Research Computing launched a new set of LLM services now open to all students, faculty, and staff. The expansion aims to give the wider university community easier access to AI tools for research and coursework. Source: news.vt.edu
Researchers introduced CancerLLM, a 7-billion-parameter language model designed specifically for the cancer domain. It aims to boost LLM performance on oncology-related tasks and assist medical professionals in their work. Source: nature.com
A new overview examines intelligent agents, a longstanding goal in AI research, in light of recent progress in large language models. It covers key definitions, methods, and future directions for LLM-based agents. Source: wires.onlinelibrary.wiley.com
A curated list highlights five books covering how to build, fine-tune, and deploy large language models. They're aimed at readers who want a deeper technical grasp of LLM development. Source: kdnuggets.com