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Shane Legg
@ShaneLegg
Chief AGI Scientist & Co-Founder, Google DeepMind Director and Managing Editor, DeepMind Institute Work: Personal:
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Today we have 3 new DeepMind Institute essays: How can we control misbehaviour in agent swarms? How should we orchestrate complex networks of AIs and people? The case for making AGI’s benefits equitably distributed. Get them here ->
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My 2008 PhD thesis was well ahead of its time :-)
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I'm excited to announce the launch of the DeepMind Institute–a new platform dedicated to advancing state of the art research and insight about AI. We'll dig deeper into AGI, human values, societal impact and direction, in the coming months. Check out the opening essays today!
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I'm thrilled about the launch of the DeepMind Institute (DMI). As a member, I look forward to driving grounded, rigorous, and multidisciplinary philosophical and empirical conversations about our future with advanced AI. 🤩
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We're launching a new researcher-led institute to spark interdisciplinary debate on AGI and bring in a wider set of views. Very excited about this, please have a look at the first batch of essays!
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Much of what the world needs to know about where AI is heading, and what governing the transition to AGI will take, is inside frontier labs. Our new DeepMind Institute is how we will share more of it. I'm so glad to be supporting it.
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Today we are announcing the new DeepMind Institute, a forum dedicated to interdisciplinary, evidence-led debate on the societal and economic questions surrounding AGI. As part of the launch, @JulianDJacobs and I have a new essay and working paper: “Economic Policy for AGI.” 🧵1/n
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My journey to develop AGI spans 25 yrs, including 10+ yrs thinking about technical & societal perspectives at Google DeepMind. AGI is on the horizon - we need deeper understanding of its implications. To help, we've created the DeepMind Institute.
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To whom do the fruits of advanced technological innovation belong? A new paper on this key societal question from @IasonGabriel and @Dr_Atoosa in my post-AGI research group.
Who is entitled to benefit from major advances in technology—and on what basis?  This new paper with @Dr_Atoosa argues that the benefits of technology—including AI—belong to the world in the sense that everyone is entitled to materially benefit from their distribution and use.
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What does it mean to be an ethicist and a philosopher working in an AI company? What questions do we explore – and can we affect positive change? For a deep exploration of these themes, check out a new long-read by Bobby Baird in the @guardian today...
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Life is just a meditation with more distractions.
How do we go from AGI to Superintelligence? New report discusses four potential pathways: scaling, AI paradigm shifts, recursive improvement, and ASI emerging from large-scale multi- agent collectives. Importantly, it also looks at possible frictions and bottlenecks along these pathways. Instant classic!
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Exciting news: Gemini Omni Flash is now #1# in the Video Arena (both Text-to-Video and Image-to-Video)! For Text-to-Video this is a massive +158 pt improvement over Veo 3.1 (1080p) and a large +61 pt lead over the next best model, Seedance 2.0. Congrats @GoogleDeepMind for this huge milestone!
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A great interview with our new Director of AGI Economics @alexolegimas and the economist @pawtrammell. It's a good antidote to some of the overly simplistic narratives about the economics of AGI.
Economics of AGI episode w Alex Imas and Phil Trammell. There's a bunch of important questions about how we deal with AI that only economics can answer. What is the optimal way to tax and redistribute the wealth that will be generated? How should countries not in the AI supply chain index into the gains? Is there any world where inequality doesn't explode? It might seem like these questions have obvious answers, but the first thing economics teaches you is that your intuitions can often be entirely wrong. It was very helpful to chat through these things with Alex and Phil. Look up Dwarkesh Podcast on Apple Podcasts, YouTube, or Spotify. Enjoy! 00:00:00 – Will capital share increase? 00:19:36 – Messy Middle scenario 00:25:57 – How to tax and redistribute AI wealth 00:30:02 – Why demand collapse is unlikely 00:39:26 – Human employees would be hard to integrate into the machine economy 00:43:08 – What if some humans (or AIs) value wealth accumulation intrinsically? 01:01:28 – What should developing countries do?
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Almost one week since I joined GDM’s AGI & Society teamin London. Special thanks to many but most profoundly the GDM co-founder @ShaneLegg and the unbeatable AGI & Society research lead @IasonGabriel for building an incredible interdisciplinary research team. I’m very priviledged to be a part of this effort.
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Some news: This week I am starting at @GoogleDeepMind as Director of AGI Economics on @shanelegg’s team. I will be joining the other amazing cross-disciplinary scientists researching AGI there. My team will study how frontier AI could reshape the economy: what happens to work and labor, how wealth and power are distributed, how institutions adapt, how AI agents shape markets, and what kinds of models can help us reason clearly about futures that may look very different from the past. I’m incredibly excited to help build this research agenda. If AGI changes how society operates, economics is going to be critical for shaping our shared future. Many more announcements soon.
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Project organization is here: Introducing notebooks in Gemini. You can now keep multiple projects organized and even add past chats and relevant files as sources, so you have a dedicated space to focus on the task at hand. Select “New notebook” in the side panel to get started.
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It’s happened. Mac Studio is here. Gemma 4 31b @GoogleDeepMind installed, chatting with my main @openclaw for $0 in token expenses now... I've burned $5-6k on tokens on my crazy ideas over past few months, so this mac studio should pencil out for me within 3 months or so 🤓
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My team (Frontier Strategy & Governance) at Google DeepMind is hiring. We are bringing on researchers to lead our strategic analysis on frontier AI. Our mission is to provide rigorous foresight and actionable insights to help the world prepare for advanced AI. We focus on concrete, longer-horizon challenges that fall outside the ordinary course of business: forecasting technical breakthroughs, anticipating geopolitical dynamics, contributing to the development of international safety standards, and planning scientific moonshots. We also publish external research and convene experts. Recent public work covers lessons from historical technological revolutions, forecasting frameworks for frontier AI, Cooperative AI, and the limits of model-level governance. This builds on our team's track record of co-creating the Frontier Model Forum, the Frontier Safety Framework, and the AGI Safety Council. We are seeking candidates with deep expertise in domains such as AI governance, international security, political economy, compute governance, forecasting, and institutional design. You will need the analytical skill to translate complex technical and political trends into internal briefings, external publications, and company initiatives. Experience briefing executive leadership is highly valued. London is preferred, with hubs in NYC and the Bay Area. We are targeting mid-career and senior researchers, though exceptional early-career applicants are considered. Apply here:
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Wonderful trip to Japan with @ShaneLegg & @shanegJP. It's really refreshing to experience such a different and open cultural/philosophical attitude towards AGI. Less reactive alarmism, more openness to positive futures, a more adaptive regulatory environment, and a good dose of realism given the demographic crisis. Will definitely be back! 🗻
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