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中国商务部与科技部发布《禁止出口限制出口技术目录》修订草案，拟新增40项技术，其中23项与AI相关（涵盖大模型、智能体、算力集群等）；已开源或公开发表的技术可豁免，API/SaaS访问一般不视为技术出口，但未发布的模型权重出境可能需注册或审批。
A cryptic, opinion-style piece titled "Big model smell: muse Wonder," likely reflecting on the telltale signs or vibes of large AI models in a product experience.
China's AI giants are undergoing a dramatic talent shift: post-training algorithm leads brought in from Silicon Valley are being sidelined, while AI Infra engineers who can orchestrate ten-thousand-GPU clusters are being courted with multi-million-yuan salaries, marking the field's pivot from algorithm heroics to infrastructure-scale engineering.
The article predicts that major AI labs will soon train massive models too expensive to serve publicly, instead using them to accelerate internal research and development further.
The author reflects on AI models from 2024 and 2025 that remain useful in 2026, seeking recommendations for models to preserve in storage.
This article discusses the necessity for algorithm engineers to continuously learn and adapt to technological shifts, from machine learning to deep learning to large models, with new graduates often leading the adaptation.
Niantic Spatial is focusing on large geospatial models, indicating a strategic shift in AI-driven mapping and spatial technology.
This review paper surveys the application of large models in battery prognostics and health management, addressing long-standing challenges and proposing a roadmap for future research in this domain.
Local deployment of large models is limited by hardware throughput. Even with GPUs at full capacity, only about 8.64M Tokens can be processed per day, which is insufficient to support Agent automation clusters or large-scale data analysis. Therefore, scaled applications still rely on cloud APIs.
A comprehensive survey of large models in sports, covering tasks, applications, datasets, and challenges to advance sports intelligence.
Fun fact: Domestic big tech companies are currently hiring in batches according to project cycles. Moonshot AI lacks overseas growth, ByteDance focuses on long-term memory and multi-agent tasks, Xiaomi is shifting to B2B for car infotainment/smart home, Tencent Hunyuan lacks pretraining talent, and 3D generation and simulation data talent is scarce with low competition and high salaries.
Financial Times reports on China's AI talent war, highlighting Moonshot founder Yang Zhilin's ability to retain a top research team amid aggressive poaching by large tech companies.
Discussion about the data sources labs may use to train 10T parameter models, including synthetic reasoning chains and human-generated traces, amid concerns about hitting the data wall.
This survey comprehensively reviews resource-efficient architectures and hardware-software co-design for green AI, covering efficient model construction, training/deployment strategies, and sustainable hardware, aiming to guide sustainable large model development.
This paper proposes the concept of the world wide AI-Model Network (AI-ModelNet), a novel paradigm for interconnecting, sharing capabilities, and enabling collaborative reasoning among diverse large models. The authors review current single- and multi-model research, present a hierarchical architecture, and validate feasibility through a prototype system and application cases.
FastMix is a novel framework that automates data mixture discovery for training large models using a single proxy model and bilevel optimization, achieving state-of-the-art performance with significant efficiency gains.
DeepMind founder Demis Hassabis delivers a 60-minute speech at the University of Cambridge, covering the future development of AI from large models, AlphaFold to scientific discovery and AGI. Video has been added with Chinese subtitles.
Survey introduces the Proxy Compression Hypothesis to explain how RLHF and related methods systematically induce reward hacking, deception, and oversight gaming in large language and multimodal models.