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Google DeepMind 🤝 @A24
We’re launching a research partnership with A24 to ensure the tools of the future are shaped by the creators who use them. Find out more → goo.gle/3QwvgKq
Google DeepMind
4,454 posts
Google DeepMind
@GoogleDeepMind
The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: deepmind.google/careers/
- Google DeepMind reposted
As our models improve, identifying AI-generated audio requires more than the human ear. We're partnering with @GoogleDeepMind to embed SynthID - an inaudible digital watermark - directly into ElevenLabs-generated audio. These watermarks will be detectable using our new free
- Gemini 3.5 Flash now supports native computer use. This built-in tool lets developers build custom agents that can see and take action across browser, mobile, and desktop interfaces. Find out more → goo.gle/4f4sNQA
00:00 - What happens when millions of AI agents start negotiating, transacting, and delegating to one another? @weballergy joined our podcast with @FryRsquared to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes:
00:00Watch → goo.gle/4w7S3LM Spotify → goo.gle/4eFgIA9 Apple Podcasts → goo.gle/3Sn4ZyM Or listen wherever you get your podcasts! 🎧 - Google DeepMind reposted
Huge congratulations to the Project Genie team on taking home the Cannes Lions Grand Prix for AI Craft! 🎉 Thank you @Cannes_Lions for recognizing how Genie pushes beyond conventional creative limitations to achieve outcomes unattainable without frontier AI… Another unexpected
- Google DeepMind reposted
Turns out you can invert the Bellman equation to recover an agent's world model from its value function. Excited by the potential applications of this work, lead by @_aletcher. My fave bit - RL agents implicitly model latent variables they were never trained to optimize for..🧵Model-free agents learn to maximise reward without modelling the environment. Right? In recent work, we challenge this narrative by proving that agents, trained on a sufficiently rich set of goals, encode a unique and accurate world model in their value functions. 1/
- Instead of assuming AI will always do what we intend, we ask: what if it doesn't? That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google. 🧵
GIFOur data shows that the vast majority of issues don't stem from bad intent. They usually happen because an agent misinterprets a command or gets overly enthusiastic to achieve a goal. Understanding these nuances is critical for refining safety and security protocols. ⬇️There is a narrow window to embed structural security protocols before multi-agent systems scale globally. We believe this multilayered approach to agent security should be a collaborative priority for AI labs, government, and academia. See the framework → - We’re working with @SciTechgovuk, @mhclg and @i_dot_ai on a new AI housing application planning prototype. 🏡 By cutting down the time spent on repetitive tasks, it could help planning officers focus their attention on complex projects and reduce processing times by up to 50%.
GIF - Google DeepMind reposted
🌍 Project Genie access is expanding even more! Starting today, Google AI Ultra 5X subscribers (our latest tier!) globally can access Project Genie. Try it out here!We love seeing all of the worlds you’ve been creating with Genie. SO much so, that we’re excited to announce Project Genie is now fully available to all Google AI Ultra subscribers globally (18+).labs.googleProject GenieProject Genie is an experimental prototype that lets you create and explore infinitely diverse worlds. - Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. 🤖 This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams. Meet the companies →
GIF - We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help simulate field scenarios and predict open play dynamics up to 8 seconds in advance. ⚽
GIFTo map the pitch, TacticAI uses graph neural networks - treating all 22 players as individual nodes and their physical interactions as connections. This allows the club's data science department to virtually drag and drop players to test different defensive setups in real time.
Why does this matter beyond sports? A live match is a masterclass in partial observability and multimodal data. Solving these continuous spatial problems could translate to leaps in robotics, computer games, and more. Find out more about TacticAI → goo.gle/4uv87Gc
- When millions of AI agents interact with each other, new collective behaviors can emerge. 🌐 Together with @schmidtsciences, @coop_ai, @ARIA_research and supported by @Googleorg, we’re launching a $10M research fund to help understand how AI systems behave as a group. →
GIF - In Sierra Leone, a surging student population is outpacing available teachers. Our latest research explores how AI can act as a partner to support educators in these environments – amplifying their reach without replacing their essential expertise and skills. 🧵
GIFWe evaluated AI’s impact by looking beyond test scores to behavioral shifts. Over eight weeks, results suggest students were using AI to understand concepts, not just find answers – with Gemini queries about how to tackle problems rising from 68% to 90%. Find out more →
