An AI model developed by Google DeepMind is giving Olympic snowboarders like Maddie Mastro new insights into how their bodies move.🏂 Read more: https://t.co/s0V1KkXO8mHost/Reporter: Isabelle BousquetteProducer: Gianna Barberia https://t.co/pOk8VGIppP ...

My view is it's not binary when are we in a bubble not in a bubble. I think parts of the AI industry probably are >> and other parts I think it remains to be seen. So I think some of the things are you know when you see seed rounds of tens of billions of dollars with of companies that basically have no product or research.It's just some people coming together that seems a bit unsustainable to me in a normal market bit. Um on the other hand, you know, we're uh businesses like us, we have massive underlying b ...

Core Insights - The report focuses on the current state of AIGC and AGI development, highlighting a competitive landscape dominated by the US and China, with a shift towards multimodal integration and autonomous agents, making human-machine coexistence inevitable [1] Group 1: Technological Developments - Key breakthroughs in AGI are concentrated in four areas: long-term memory and controllable personality, physical interface integration, autonomous scientific hypothesis validation, and institutional restructuring [2] - Core technological trends include the emergence of text generation intelligence, 3D world simulation, and video generation spatiotemporal modeling [2] - The competition among large models has led to a dual-track system of open-source and closed-source models, with China's open-source ecosystem leading and the US's closed-source models outperforming by approximately 9 months [2] Group 2: Global Competition and Industry Landscape - In 50 key AI fields, the US leads in 26 areas focusing on foundational breakthroughs and principle innovation, while China leads in 13 areas excelling in application implementation and industry integration [3] - Eleven core companies dominate the market, with OpenAI and Google DeepMind leading the closed-source camp, while DeepSeek, Alibaba, and ByteDance drive the open-source ecosystem and application scenarios [3] - The development of models is shifting towards "personalization + specialization," with agentification and ecological embedding becoming mainstream [3] Group 3: Application Scenarios - In content production, AIGK achieves knowledge self-organization, with AI in literature, art, music, and video realizing large-scale creation [4] - Industry applications span education, healthcare, government, energy, and agriculture, with AI + education promoting personalized learning and AI + healthcare constructing multimodal models for cancer diagnosis [4] - The intelligent internet is accelerating, with social AI integration and AI socialization reshaping information retrieval logic, leading to a subtle integration of AI into daily life [4] Group 4: Challenges and Future Outlook - Current challenges include cumulative errors, long-term memory drift, and accountability attribution among nine technical challenges, with a gap between capital enthusiasm and technological reality [5] - Over the next decade, AGI will undergo four stages: toolification, scenario-based application, theoretical development, and embodiment, transitioning human-machine relationships from collaboration to coexistence [5] - The focus of human value will shift towards creativity, emotionality, and reflective value, with the economy moving from "scarcity economics" to "meaning economics," making intelligent capital a core production factor [5]

Olympic snowboarders like Maddie Mastro testing a new AI model developed by Google DeepMind are getting new insights into how their bodies move https://t.co/4ftziZ5EO1 ...

随着人工智能技术和应用的快速发展，美国人工智能监管呈现出联邦和州加强立法的态势，司法层面也不断探索人工智能知识 产权侵权纠纷中的裁判尺度。本文旨在为出海企业提供美国人工智能监管概述，提示人工智能合规风险与监管走势。 作者丨斯响俊 朱春天 一、美国人工智能法律框架概述 美国实行三权分立制度，将政府权力分为立法、行政和司法三个独立分支，分别由国会、总统和最高法院行使。同时，美国联 邦制又划分了联邦与州的权力边界，确立了"二元立法体系"，即联邦和州各自拥有独立的立法机关和立法权限。联邦层面上， 法案需由国会参众两院通过且由美国总统签署生效。州层面上，州立法也需由州议会通过且由州长签署生效。 随着人工智能技术的快速发展，美国的人工智能（"AI"）监管正呈现联邦政策调整、州立法先行以及司法案例快速发展的多层 次动态。本文重点评述近期美国联邦层面的国家AI立法与战略、加州AI立法动向，以及人工智能知识产权保护的司法实践。 二、美国联邦层面人工智能立法与政策概览 美国联邦政府在AI领域的监管策略呈现出一种鲜明的特征——相较于对技术本身进行宽泛的基础性规制，立法者更倾向于针对 由AI技术应用所引发的特定、可识别的社会危害进行 ...

梦晨 发自 凹非寺 量子位 | 公众号 QbitAI 强化学习大神David Silver ，离开DeepMind了。 这位在DeepMind待了整整15年的元老级研究员已经出走，创办自己的AI公司 Ineffable Intelligence 。 根据注册文件显示，这家公司早在2025年11月就已悄然成立，Silver本人于2026年1月16日被正式任命为公司董事。 在正式离职DeepMind前的几个月里，他也一直处于休假状态。 Ineffable Intelligence总部设在伦敦，目前正在积极招募AI研究人才并寻求风险投资。 Google DeepMind的发言人证实了Silver的离职，并对其在职期间的贡献表示感谢。 除了在谷歌 DeepMind 的工作之外，Silver还是伦敦大学学院的教授，他将继续保持这一职务。 他于2010年公司成立之初便加入，彼时DeepMind还只是一个小团队，Silver和Demis Hassabis在剑桥读大学时是老朋友，他们还一同创办 过游戏公司Elixir Studios。 2016年，他领导开发的AlphaGo击败围棋世界冠军李世石，成为AI发展史上的标志性事件 ...

We've brought up AGI a couple times. Um, so let me let me put this to you because I was speaking with Sam Alman towards the end of the year and I asked him, I was like, you know, you seem to be saying two things. We're not at AGI yet, >> but every time he talks about what GPT models can do, it seems like it fits his definition.And he said, uh, a that AGI is underdefined. And what he wishes everybody could agree to was that we've sort of whooshed by AGI and we move towards super intelligence. Do you agree wi ...

RT Justine Moore (@venturetwins)I got early access to Project Genie from @GoogleDeepMind ✨It's unlike any realtime world model I've tried - you generate a scene from text or a photo, and then design the character who gets to explore it.I tested dozens of prompts. Here are the standout features 👇 https://t.co/I6CPJzPzIG ...

Start building and exploring worlds of your own with Project Genie. Project Genie is an experimental research prototype that lets you create and explore infinitely diverse worlds. Simply use a text or image prompt to generate interactive environments that build in real time as you play them. Project Genie is powered by Genie 3, our world model which enables training AI agents in an unlimited curriculum of rich simulations and opens new frontiers for AI research. It’s currently available to Google AI Ultra s ...

AlphaGenome is our latest & most advanced genomics model published in @Nature today including making the model & weights available to academic researchers. Can’t wait to see what the research community will do with it. Congrats to the team on our newest front cover! #AI4ScienceGoogle DeepMind (@GoogleDeepMind):Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬Find out more in @Nature ↓ https ...