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腾讯研究院AI速递 20260209

腾讯研究院· 2026-02-08 16:03

Group 1: Claude Opus 4.6 Release - Anthropic launched Claude Opus 4.6, outperforming GPT-5.2 by approximately 144 Elo in GDPval-AA knowledge work assessment and achieving top scores in Terminal-Bench 2.0, Humanity's Last Exam, and BrowseComp [1] - The Opus model supports a context window of 1 million tokens and an output limit of 128,000 tokens, achieving 76% in long context retrieval tests, which is four times better than Sonnet 4.5 [1] - The product line has been updated with new features, including agent teams in Claude Code, an upgraded Excel, and a research preview for PowerPoint, along with new API functionalities like adaptive thinking and context compaction [1] Group 2: OpenAI GPT-5.3-Codex Release - OpenAI released GPT-5.3-Codex shortly after Claude Opus 4.6, achieving 77.3% in Terminal-Bench 2.0, regaining the highest score and being 25% faster than its predecessor, GPT-5.2-Codex [2] - This model is the first to participate in creating its own model, utilizing early versions for debugging its training process, managing deployment, and analyzing evaluation results [2] - The OSWorld-Verified score improved from 38.2% to 64.7%, nearing the human benchmark of 72%, with a cybersecurity CTF score of 77.6%, marking it as the first high-capability cybersecurity model [2] Group 3: Claude Opus 4.6 Fast Mode - Anthropic introduced a Fast Mode for Claude Opus 4.6, which is 2.5 times faster than the standard version, available to Claude Code and API users, with initial support from platforms like Cursor and GitHub Copilot [3] - Pricing for Fast Mode has significantly increased, with input costs at $30 per million tokens and output costs at $150 per million tokens, while long context pricing has doubled, offering a 50% discount until February 16 [3] - This mode is recommended for rapid code iteration and real-time debugging, with automatic fallback to the standard version after hitting rate limits [3] Group 4: Pony Alpha Model - The OpenRouter platform launched the mysterious anonymous model Pony Alpha, which excels in programming, logical reasoning, and role-playing, available for free [4] - Speculation surrounds the model's identity, with guesses including DeepSeek-V4, GLM new models, Opus 5.3, Codex 4.6, or Grok 4.2, but no consensus has been reached [4] - Pony Alpha supports reasoning with a context of 200,000 tokens, with users successfully creating complete web applications containing 500 lines of code, hinting at a possible Chinese origin due to its name [4] Group 5: ByteDance Seedance 2.0 Launch - ByteDance quietly launched Seedance 2.0, which supports self-storyboarding, synchronized audio-visual generation, multi-shot narratives, and up to 12 multimodal reference files [5] - The usability rate improved from under 20% to over 90%, with actual production costs reduced to near theoretical levels, fundamentally changing the industry's economics [5] Group 6: Tencent WorkBuddy Internal Testing - Tencent opened internal testing for WorkBuddy, a desktop AI agent capable of planning and executing complex multimodal tasks on local computers [7] - Core capabilities include automatic batch file processing, document/spreadsheet/PPT generation, deep data analysis, and industry research, with built-in model switching and high-risk command interception [7] - Since its internal testing began on January 19, it has served over 2,000 Tencent employees, targeting non-technical workplace groups like HR, administration, operations, and sales to lower the AI tool usage barrier [7] Group 7: Waymo and DeepMind Collaboration - Waymo introduced a world model built on DeepMind Genie 3, capable of generating highly realistic and interactive 3D environments, simulating rare driving scenarios like tornadoes and elephants [8] - The model supports three control mechanisms: driving behavior, scene layout, and language, converting ordinary driving record videos into multimodal simulations, showcasing the Waymo Driver's perspective [8] - Waymo Driver has completed nearly 200 million miles of fully autonomous driving, with the world model enabling the system to rehearse billions of miles of complex scenarios in a virtual environment [8] Group 8: Elon Musk's Future Plans - Elon Musk revealed SpaceX plans to launch 20,000 to 30,000 times annually, predicting that within five years, space computing power will exceed the global total [9] - The Tesla AI5 chip is set for mass production in Q2 next year, with the AI6 chip following within a year, and Optimus expected to reach a production capacity of 1 million units in three years and 10 million in four years [9] - Musk described Optimus as a "money-making perpetual motion machine," asserting that without breakthrough innovations, the U.S. will fall behind China in AI, electric vehicles, and humanoid robot manufacturing [9] Group 9: AI Growth Projections - ARK Invest forecasts that global GDP growth will exceed 7% by 2030, driven by the integration of five technologies, with a bullish Bitcoin price target of $1.5 million by 2030 [12] - The differentiated development of AI between China and the U.S. sees China breaking through with an open-source approach, while the U.S. leads in application-level global competitiveness, with proprietary data being a decisive advantage in the AI era [12] - Tesla is positioned to lead the Robotaxis market through vertical integration, with future travel costs potentially dropping to $0.20 per mile, and a market capitalization of a trillion dollars by 2030 is anticipated [12]

Waymo联手DeepMind打造世界模型：基于Genie 3，让自动驾驶「脑补」罕见场景

机器之心· 2026-02-07 07:00

Core Insights - Waymo has launched the Waymo World Model, a new standard in large-scale, hyper-realistic autonomous driving simulation, built on DeepMind's Genie 3 [1][4] - The model can generate highly realistic and interactive 3D environments tailored for the strict requirements of autonomous driving [4][8] - Waymo Driver has completed nearly 200 million miles of fully autonomous driving, enhancing road safety through extensive virtual world training [4][28] Group 1: Model Capabilities - Waymo World Model leverages Genie 3's extensive world knowledge to simulate rare events that are difficult to replicate in real life, such as tornadoes and encounters with elephants [4][9] - The model supports high-fidelity, multi-sensor data generation, including camera images and LiDAR point clouds, providing a comprehensive training and testing environment for autonomous systems [4][8] - The simulation allows for real-time adjustments through simple language prompts, driving inputs, or scene layouts, enhancing the model's adaptability [4][11][16] Group 2: Simulation Control Mechanisms - The model features three main control mechanisms: driving behavior control, scene layout control, and language control, enabling the simulation of various driving scenarios [11][13][16] - Driving behavior control allows for the simulation of counterfactual events, assessing how the Waymo Driver would respond under specific conditions [11] - Scene layout control enables customization of road layouts and traffic signals, while language control provides flexibility in adjusting time of day and weather conditions [13][16] Group 3: Realism and Accuracy - Waymo World Model can convert real-world videos into multi-modal simulations, achieving high levels of realism and factual accuracy [22] - The model's efficient variants allow for long-duration simulations while maintaining high fidelity, supporting large-scale testing [24] - By simulating rare scenarios, Waymo Driver prepares for complex driving situations, setting a higher safety benchmark for autonomous systems [28]

世界模型