Keywords：GPT-5.2, OpenAI, AI model, Professional work capability, Agent tool invocation, Visual capabilities, Context window, Knowledge base update, GPT-5.2 Thinking model, GDPval benchmark test, SWE-Bench Pro record, ARC-AGI-1 breakthrough, Statistical learning theory
🔥 Spotlight
OpenAI Releases GPT-5.2 Series Models, Significantly Enhancing Professional Work Capabilities : OpenAI launched three models: GPT-5.2 Instant, Thinking, and Pro, designed to tackle highly challenging knowledge-based tasks. In OpenAI’s GDPval benchmark, GPT-5.2 Thinking surpassed or matched human experts in 70.9% of 44 professional tasks, boosting efficiency by 11 times and costing less than 1%. The models have fully evolved in general intelligence, ultra-long text comprehension, Agent tool invocation, and visual capabilities. Their knowledge base is updated to August 31, 2025, and they support a 400,000 context window. They set a new record of 55.6% on SWE-Bench Pro, broke the 90% mark for the first time on ARC-AGI-1, and assisted in solving an open problem in statistical learning theory in scientific research. Although prices have increased by 40%, OpenAI emphasizes the cost-effectiveness brought by their higher Token efficiency.（来源：36氪, 36氪, 36氪, 36氪, 36氪, 36氪, 36氪, Reddit r/ChatGPT, Reddit r/ChatGPT, Reddit r/ArtificialInteligence）
Disney and OpenAI Ink $1 Billion Partnership, Sora Gains 200+ IP Licenses : Disney announced a $1 billion investment in OpenAI and signed a three-year licensing agreement, allowing Sora and ChatGPT Images to use over 200 iconic IP characters from Disney, Pixar, Marvel, and Star Wars (limited to animated/illustrated versions, excluding live-action portraits/voices) to generate short videos and images. Some UGC content is expected to appear on the Disney+ platform in the future. This move signifies AI’s transition from a tool to a platform in content creation. Disney aims to expand its narrative influence through responsible AI use, while also actively addressing AI copyright challenges.（来源：kylebrussell, dotey, 36氪, 36氪, 36氪, 36氪, Reddit r/ChatGPT）
Google Deep Research Agent Upgrades and Opens API; DeepMind Collaborates with UK Government to Advance AI Governance : Google released the new Gemini Deep Research Agent, based on the Gemini 3 Pro model, which optimizes web search functionality and can generate in-depth research reports at a lower cost, scoring 46.4% in HLE tests, slightly higher than GPT-5.2. It also open-sourced the DeepSearchQA benchmark, comprising 900 causal chain tasks, to evaluate the comprehensiveness of Agents in complex network research. The Interactions API was launched to unify Agent-model interactions, supporting server-side state management and remote MCP tools. Furthermore, DeepMind is collaborating with the UK government to use AI to address public administration issues such as urban planning (Project Extract) and accelerating scientific discovery (automated AI science labs).（来源：omarsar0, osanseviero, GoogleAIStudio, demishassabis, 36氪, 36氪, 36氪）
Meta’s Internal “Power Play” Escalates, AI Development Path Faces Divergence : The New York Times reported internal conflicts at Meta over the direction of AI development, with Alexandr Wang’s TBD Lab team, led by Zuckerberg’s protégé, clashing with veterans like Chief Product Officer Chris Cox and Chief Technology Officer Andrew Bosworth over the vision for AGI versus product commercialization. TBD Lab leans towards developing “god-like AI superintelligence,” while the veterans prefer AI to optimize social media recommendation algorithms and advertising businesses. To support its AI ambitions, Meta plans to significantly cut the budget for its Reality Labs (metaverse) division. Additionally, Turing Award laureate Yann LeCun resigned due to philosophical differences, highlighting Meta’s growing pains in its AI strategic transformation.（来源：36氪, 36氪, 36氪, 36氪）
New Paradigm for AI Infrastructure: MCP Protocol Donated to Linux Foundation, Edge-Cloud Collaboration with OpenCloudOS Becomes Priority in AI Era : Anthropic announced the official donation of the Model Context Protocol (MCP) to the newly established Agentic AI Foundation, hosted by the Linux Foundation, aiming to create an open interoperability protocol for AI agents. MCP has become a de facto standard for Agent-class products, gaining widespread integration from VS Code, OpenAI, Google, Alibaba, ByteDance, Tencent, and others. Concurrently, the OpenCloudOS operating system ecological conference unveiled the “OpenCloudOS Infra Intelligent Base,” which aims to build a unified AI computing foundation, achieve a full-stack AI infrastructure system, address the fragmentation of infrastructure caused by the explosion in AI training and inference scale, and support “out-of-the-box” use for mainstream global GPUs and AI frameworks.（来源：AnthropicAI, 36氪, 36氪）
🎯 Trends
NVIDIA Releases 8B Orchestrator Model, Reshaping AGI Productivity : NVIDIA introduced the 8-billion-parameter Orchestrator model, which, through reinforcement learning and multi-round execution mechanisms, acts as a lightweight scheduling hub to command a heterogeneous set of tools, achieving cost reduction and efficiency improvement for AI tasks. In HLE benchmark tests, Orchestrator surpassed GPT-5 (35.1%) with an accuracy of 37.1%, while also boosting efficiency by 2.5 times, and costs