Demis Hassabis (戴米斯·哈薩比斯)
CEO & Co-founder · Google DeepMind
Google DeepMind CEO。科學家視角——下一代 AI 突破在世界模型,不在更大的模型。 AlphaGo / AlphaFold 主導者,2024 Nobel 化學獎得主。
出現在哪幾期週報
- 2026-W21 · AI 代理進入「目標驅動」時代 — 從工具到同事:AI 代理自主性躍升為本週主線
- 2026-W20 · AI 協作工具普及推動生產力質變 — 多模態數據與長語境重塑開發流程
近期訪談
- 主講r=0.95@ YT · Demis Hassabis (Google DeepMind)
I'm excited to announce Gemini for science. It brings together a number of powerful AI tools to help accelerate research. Gemini can already assist in solving complex problems, but our new lab's prototypes streamline daily scientific tasks. Whether it's staying on top of newly published papers, transforming research goals into usable code, or generating new hypotheses.
- 主講r=1.00@ YT · Demis Hassabis (Google DeepMind)
And today I'm excited to introduce Gemini 3.5 Flash, our first in a series of models combining frontier intelligence with action. Two things I would highlight. First, when compared to 3.1, Pro Flash is better across the board almost all benchmarks. It's made huge progress in coding. And look at that extraordinary jump in GDP Val, a benchmark that captures many real world, economically valuable tas
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
And today I'm thrilled to announce that OpenAI, Cacao, and Leven Labs are adopting Synth ID 2. Millions of people are using our Synth ID detector in the Gemini app to verify AI generated content. We are now going a step further and adding content credentials verification across products. This will show you if the origin of the content was AI or a camera and if it's been edited with generative AI t
- 主講r=0.95@ YT · Demis Hassabis (Google DeepMind)
I'm excited to announce Gemini Omni. >> [cheering] [applause] >> Our new model that can create anything from any input. It combines Gemini's intelligence with the best of our generative media models for a new level of world understanding, multi-modality, and editing. Models like VEO, Nano Banana, and Genie are able to create extremely realistic videos, images, and interactive simulations. Although
- 主講r=0.95@ YT · Demis Hassabis (Google DeepMind)
In an era of information overload, the search for transformative scientific ideas has become a significant bottleneck for progress. Every great scientific breakthrough begins with a single, transformative idea. The spark of discovery relies on a researcher's ability to connect disparate facts and formulate the right hypothesis to test. We believe AI can help dramatically accelerate the pace of bre
- 主講r=0.95@ YT · Demis Hassabis (Google DeepMind)
Tropical storms and hurricanes are notoriously volatile, changing structure and intensity in a matter of hours. This unpredictability makes them some of the most challenging weather systems to forecast—putting lives and livelihoods at risk. WeatherNext, our global weather forecasting AI model, successfully predicted the intensity and track of Hurricane Melissa in October 2025. By providing high-co
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Globally recognized as a silent pandemic, antimicrobial resistance continues to rise as bacteria outpace the development of new antibiotics. When patients stop responding to standard treatments, routine infections can quickly become life-threatening. At the University of Cambridge, Ben Luisi and his team are combining structural biology with advanced AI tools like AlphaFold, Gemini, and Co-Scienti
- 主講r=0.85@ YT · Demis Hassabis (Google DeepMind)
In Uganda, the incidence of early-onset breast cancer is growing at an alarming rate. Dr. Daudi Jjingo and his team at Makerere University are working to identify genetic targets for potential vaccine development. By utilizing tools like AlphaFold, AlphaGenome, and Antigravity, they can conduct this research using only a laptop and a server, enabling seamless collaboration with local hospitals and
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
The mouse pointer 🖱️ has been a constant companion on computer screens, across every website, document and workflow. Despite how technologies have changed, the pointer has barely evolved in more than half a century. We’ve been exploring new AI-powered capabilities and ways of working to help the pointer not only understand what it’s pointing at, but also why it matters. See how to try it out @ htt
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
We are thrilled to announce Gemma [music] 4. Built from the same world-class research and technology behind Gemini 3, Gemma 4 is a family of open models designed to run directly on the hardware you own: phone, laptops, [music] and desktop. For the first time ever, we're releasing Gemma under an open-source Apache 2.0 license. Gemma 4 is built for the agentic era. It can handle complex logic, multi
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
AI is shaping the world young people are growing up in. But how do teachers confidently introduce AI and machine learning in the classroom? Experience AI is a free educational program from Google DeepMind and the Raspberry Pi Foundation that helps teachers introduce school-aged students to AI and machine learning. The program uses research-backed pedagogies to empower teachers to cover foundationa
- 提及r=0.20@ YT · Andrew Ng (DeepLearning.AI / Coursera)
Greetings everyone. My name is Paige. I'm the engineering lead for our developer relations team at Google DeepMind and I have the pleasure here today to talk about a little of what we're currently working on. Um, this is a lot of slides. I'm not a super fan of slides. So, if you want to learn more about a kind of hands-on how you can interact with the APIs in AI Studio, um, there will be a session
- 提及r=0.20@ a16z Podcast
Sophia Dew and Binji Pande speak with Vitalik Buterin about technology, human agency, and how the internet is changing the way people think, build, and relate to the world around them. Drawing from his writings and personal reflections, Buterin discusses how his worldview has evolved over the last decade, from creating Ethereum as a teenager to thinking more deeply about the social and philosophic
- 提及r=0.15@ a16z Podcast
Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics. Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the ne
- 提及r=0.15@ YT · Andrew Ng (DeepLearning.AI / Coursera)
My name is Paige. I lead engineering for developer relations at Google DeepMind. I'm based in the Bay Area. Um, and uh, I don't think it's a secret that Google has been a little bit busy over the course of the last year, especially over the course of the last couple of months. It feels like we've been releasing a new model, new products, new features every single day of the week. Um, most notably,
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Last month, we introduced Lyria 3, featuring custom music generation designed to spark creative expression. Now, we’re bringing our most advanced music generation model to more Google products, and introducing Lyria 3 Pro. This advanced version allows the creation of tracks up to 3 minutes long, with customization and creative control. Learn more: https://blog.google/innovation-and-ai/technology/a
- 提及r=0.20@ All-In Podcast
(0:00) Bestie intros! Thoughts on the LA mayor election (4:38) SpaceX-Anthropic deal, Elon Web Services, SpaceX IPO valuation, Anthropic's insane growth trajectory (26:48) Is Anthropic the next great monopoly? Early signals or major overreaction? (35:21) "FDA for AI" freakout, how the White House thinks about AI safety (52:01) Flipping AI's negative perception: Giving, healthcare and education inn
- 提及r=0.80@ YT · Demis Hassabis (Google DeepMind)
Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a legendary 18-time Go world champion. On the other, AlphaGo, a neural network based AI system built on a powerful technique called re
- 主講r=1.00@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, you can fly through the air as you descend from a mountaintop, and attempt to fly through the rings in yo
- 提及r=0.15@ a16z Podcast
Waymo is now delivering hundreds of thousands of fully autonomous rides each week — but getting there required more than better models. It meant building a complete system for training, evaluating, and deploying a driver in the real world. In this episode — originally aired on the Cheeky Pint podcast — Waymo Co-CEO Dmitri Dolgov joins John Collison to break down how self-driving actually works tod
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
At Duke University, the Wang Lab utilized Gemini 3 Deep Think to solve a complex challenge in materials science: optimizing fabrication methods for crystal growth. By applying expert-level scientific knowledge to research-level data, Deep Think successfully designed a precise recipe for growing thin films larger than 100 μm—hitting a specific target that previous methods had struggled to reach. Le
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Gemini 3 Deep Think's improved reasoning makes it a robust tool for poking holes in even the most complex instances of mathematical reasoning. Lisa Carbone, a mathematician at Rutgers University, recently used Deep Think to review a specialized paper in the field of high-energy physics and infinite-dimensional algebra. Deep Think successfully identified a subtle logical flaw in the publication tha
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Engineering workflows require translating logic into executable, physical solutions. Anupam Pathak, an R&D lead in Google’s Platforms and Devices division, tested Gemini 3 Deep Think to accelerate the design and prototyping of complex physical components. Taking in text prompts and image references, Deep Think reasoned through geometric constraints, Deep Think reasoned through the geometric constr
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, scan the wetlands with your flashlight, and try to spot the foxes wandering in the dark. Learn more: http
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, you can explore the ruins of a mysterious monument as an RC car. Learn more: https://labs.google/projectg
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, the blank space is your canvas, as your blue orb leaves a trail of paint everywhere you go, testing Genie
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, you can hop through a rainy day on watercolor canvas as a pink rabbit. Learn more: https://labs.google/pr
- 主講r=0.90@ YT · Demis Hassabis (Google DeepMind)
Project Genie is Google’s research prototype for creating playable worlds. With just a text or image prompt, you can generate interactive environments that build in real time, as you play them. Project Genie also features a gallery of premade worlds that users can play or remix. In this world, you can explore a mystical alpine woodland as a shiba inu at golden hour. Learn more: https://labs.google
- 引用r=0.60@ YT · Demis Hassabis (Google DeepMind)
Legendary producer Wyclef Jean joins forces with Music AI Sandbox to explore the next era of creative expression. Discover how Wyclef uses these experimental tools to push the boundaries of music production, using AI as a powerful new instrument for curation and sound design. Watch "Back From Abu Dhabi" Here: https://www.youtube.com/watch?v=NDzKzZhyXHo Learn more: https://deepmind.google/lyria/ __
- 提及r=0.70@ Lex Fridman Podcast
Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch). Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/spons
核心概念分布(歷來)
- 世界模型× 7
- 可遊玩世界生成× 3
- Gemini 3 Deep Think× 3
- 多模態× 2
- AlphaFold× 2
- AI安全× 2
- 即時建構× 2
- Project Genie× 2
- 互動環境× 2
- 文字/圖像提示× 2
- 生成式世界模型× 2
- 交互式環境× 2
- 即時生成× 2
- Gemini for Science× 1
- 加速研究× 1
- 科學任務自動化× 1
- 生成假設× 1
- 前沿智能× 1
- 模型速度× 1
- 编码能力× 1