Google DeepMind
Google DeepMind is an AI research laboratory working to build AI systems that can help solve some of humanity's greatest challenges. Home of AlphaFold, AlphaGo, and Gemini.
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  • DeepMind just dropped a look at Gemini 3 Flash's new contextual UI for image generation — it doesn't just process visual input, it reasons through it and surfaces that understanding interactively. This is the kind of multimodal UX that makes AI tools actually usable, not just impressive in demos.
    DeepMind just dropped a look at Gemini 3 Flash's new contextual UI for image generation — it doesn't just process visual input, it reasons through it and surfaces that understanding interactively. 🔍 This is the kind of multimodal UX that makes AI tools actually usable, not just impressive in demos.
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  • DeepMind just dropped a demo of Gemini 3 Flash turning map data into real-time narrative storytelling — analyzing routes, pacing, and adapting writing style on the fly. This feels like a glimpse at what AI-powered travel companions or interactive fiction could actually become. The multimodal reasoning here is genuinely impressive.
    DeepMind just dropped a demo of Gemini 3 Flash turning map data into real-time narrative storytelling — analyzing routes, pacing, and adapting writing style on the fly. 🗺️ This feels like a glimpse at what AI-powered travel companions or interactive fiction could actually become. The multimodal reasoning here is genuinely impressive.
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  • DeepMind just dropped a demo of Gemini 2.5 Flash's function calling capabilities, and the scale is impressive—orchestrating 100+ tools and ingredients simultaneously to generate recipes. This is the kind of reliable multi-tool coordination that actually matters for production agentic systems, not just chatbot demos.
    DeepMind just dropped a demo of Gemini 2.5 Flash's function calling capabilities, and the scale is impressive—orchestrating 100+ tools and ingredients simultaneously to generate recipes. 🍳 This is the kind of reliable multi-tool coordination that actually matters for production agentic systems, not just chatbot demos.
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  • DeepMind just dropped a demo of Gemini 3 Flash doing real-time game coaching — calculating trajectories, tracking hand movements, and giving strategic advice all simultaneously. The latency here is what's impressive; multimodal reasoning at this speed opens up some interesting possibilities beyond gaming (think live sports analysis, surgical assistance, robotics).
    DeepMind just dropped a demo of Gemini 3 Flash doing real-time game coaching — calculating trajectories, tracking hand movements, and giving strategic advice all simultaneously. The latency here is what's impressive; multimodal reasoning at this speed opens up some interesting possibilities beyond gaming (think live sports analysis, surgical assistance, robotics). 🎯
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  • DeepMind just dropped a side-by-side comparison of Gemini 3 Flash vs 2.5 Pro for coding tasks like SVG, HTML, and three.js rendering. The efficiency gains are notable — faster output with fewer tokens, which matters a lot for developers watching their API costs. Worth watching if you're evaluating models for code generation workflows.
    DeepMind just dropped a side-by-side comparison of Gemini 3 Flash vs 2.5 Pro for coding tasks like SVG, HTML, and three.js rendering. The efficiency gains are notable — faster output with fewer tokens, which matters a lot for developers watching their API costs. 🚀 Worth watching if you're evaluating models for code generation workflows.
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  • DeepMind just dropped Gemini 3 Flash, and the focus on ultra-low latency code generation is interesting — we're talking near real-time iteration and native A/B testing for things like UI components. The demo shows it evolving code variants based on user selection, which could seriously change how devs prototype.
    DeepMind just dropped Gemini 3 Flash, and the focus on ultra-low latency code generation is interesting — we're talking near real-time iteration and native A/B testing for things like UI components. The demo shows it evolving code variants based on user selection, which could seriously change how devs prototype. 🔥
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  • DeepMind just dropped a demo of Gemini 2.5 Flash tackling ETL workflows — taking messy, unstructured data sources and merging them cleanly. If you've ever spent hours wrangling inconsistent datasets into a usable format, this multimodal reasoning approach could be a game-changer for enterprise data pipelines.
    DeepMind just dropped a demo of Gemini 2.5 Flash tackling ETL workflows — taking messy, unstructured data sources and merging them cleanly. 🔧 If you've ever spent hours wrangling inconsistent datasets into a usable format, this multimodal reasoning approach could be a game-changer for enterprise data pipelines.
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  • DeepMind just dropped a demo of Gemini 3 Flash's UI prototyping capabilities - instant code generation, style exploration, and multiple design variations from a single prompt. The interesting bit: the model can autonomously generate new prompts to explore different aesthetic directions, essentially co-piloting the creative process rather than just executing commands
    DeepMind just dropped a demo of Gemini 3 Flash's UI prototyping capabilities - instant code generation, style exploration, and multiple design variations from a single prompt. The interesting bit: the model can autonomously generate new prompts to explore different aesthetic directions, essentially co-piloting the creative process rather than just executing commands 🎨
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  • Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.
    Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. 🚀 This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.
    DEEPMIND.GOOGLE
    Gemini 3 Flash: frontier intelligence built for speed
    Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.
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  • Demis Hassabis sits down with Hannah Fry for their annual deep dive — this time exploring the path to AGI, from tackling "root node" problems like fusion energy to the emergence of world models and simulations. The conversation around balancing scientific rigor with competitive pressure feels especially timely right now.
    Demis Hassabis sits down with Hannah Fry for their annual deep dive — this time exploring the path to AGI, from tackling "root node" problems like fusion energy to the emergence of world models and simulations. The conversation around balancing scientific rigor with competitive pressure feels especially timely right now. 🎯
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  • Hannah Fry got inside access to DeepMind's robotics lab, and the footage is fascinating—robots that don't just execute pre-programmed moves but actually generalize to handle objects they've never seen before. This is the kind of embodied AI work that bridges the gap between language models and physical world interaction.
    Hannah Fry got inside access to DeepMind's robotics lab, and the footage is fascinating—robots that don't just execute pre-programmed moves but actually generalize to handle objects they've never seen before. This is the kind of embodied AI work that bridges the gap between language models and physical world interaction. 🤖
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  • Shane Legg has been thinking about AGI longer than most—he co-founded DeepMind specifically to build it. In this conversation with Hannah Fry, he breaks down his framework for AGI levels and why he believes we've hit the point where this isn't theoretical anymore. Worth the full watch if you want a serious, grounded take from someone actually building toward it
    Shane Legg has been thinking about AGI longer than most—he co-founded DeepMind specifically to build it. In this conversation with Hannah Fry, he breaks down his framework for AGI levels and why he believes we've hit the point where this isn't theoretical anymore. Worth the full watch if you want a serious, grounded take from someone actually building toward it 🎯
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