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4月27日周一
4月25日周六
  1. OpenAI News

    模拟AI就业转型

    【AI 翻译 · 未评分】一个新框架分析了921种职业和1.48亿个美国工作岗位，以确定哪些角色面临自动化风险、重组、增长或最小的AI干扰。

4月24日周五
4月23日周四
  2. OpenAI News

    介绍GPT-5.5

    【AI 翻译 · 未评分】本文介绍了GPT-5.5，这是一款专为跨工具处理编码、研究和数据分析等复杂任务而构建的模型。

4月22日周三
  4. OpenAI News

    工作区智能体

    【AI 翻译 · 未评分】了解如何在 ChatGPT 中构建和使用工作区智能体，以自动化可重复的工作流程、连接工具并简化团队运营。

4月21日周二
  5. OpenAI News

    Scaling Codex to enterprises worldwide

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI launches Codex Labs, partners with with Accenture, PwC, Infosys, and others to help enterprises deploy and scale Codex across the software development lifecycle, and hits 4M Codex WAU.

4月20日周一
  1. Berkeley AI Research

    Gradient-based Planning for World Models at Longer Horizons

    【RSS 原文 · 未经 AI 筛选或翻译】GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across time, (2) adding stochasticity directly to the state iterates for exploration, and (3) reshaping gradients so actions get clean signals while we avoid brittle “state-input” gradients through high-dimensional vision models. Large, learned world models are becoming increasingly capable. They can predict long sequences of future observations in high-dimensional visual spaces and generalize across tasks in ways that were difficult to imagine a few years ago. As these models scale, they start to look less like task-specific predictors and more like general-purpose simulators. But having a powerful predictive model is not the same as being able to use it effectively for control/learning/planning. In practice, long-horizon planning with modern world models remains fragile: optimization becomes ill-conditioned, non-greedy structure creates bad local minima, and high-dimensional latent spaces introduce subtle failure modes. In this blog post, I describe the problems that motivated this project and our approach to address them: why planning with modern world models can be surprisingly fragile, why long horizons are the real stress test, and what we changed to make gradient-based planning much more robust. This blog post discusses work done with Mike Rabbat, Aditi Krishnapriyan, Yann LeCun, and Amir Bar (* denotes equal advisorship), where we propose GRASP. What is a world model? These days, the term “world model” is quite overloaded, and depending on the context can either mean an explicit dynamics model or some implicit, reliable internal state that a generative model relies on (e.g. when an LLM generates chess moves, whether

4月16日周四
  3. OpenAI News

    Codex for (almost) everything

    【RSS 原文 · 未经 AI 筛选或翻译】The updated Codex app for macOS and Windows adds computer use, in-app browsing, image generation, memory, and plugins to accelerate developer workflows.

4月15日周三
4月14日周二
4月13日周一