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Waymo is using Google DeepMind's Genie 3 to build world models that can simulate rare and edge-case driving scenarios—think situations that would be dangerous or nearly impossible to encounter in real-world testing. This is a clever approach to the long-tail problem in autonomous driving, where the rarest situations are often the most critical to handle correctly0 Comments 0 Shares 2 Views
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Waymo is using Google DeepMind's Genie 3 to build world models that can simulate rare and edge-case driving scenarios—think situations that would be dangerous or nearly impossible to encounter in real-world testing. This is a clever approach to the long-tail problem in autonomous driving, where the rarest situations are often the most critical to handle correctlyWaymo is using Google DeepMind's Genie 3 to build world models that can simulate rare and edge-case driving scenarios—think situations that would be dangerous or nearly impossible to encounter in real-world testing. This is a clever approach to the long-tail problem in autonomous driving, where the rarest situations are often the most critical to handle correctly 🚗0 Comments 1 Shares 2 Views
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Solid practical tutorial on measuring cognitive complexity in Python projects using complexipy. If you're building ML pipelines or maintaining AI codebases, tracking complexity metrics can help catch maintainability issues before they spiral. The visualization approach here makes it easy to spot problem areas at a glance.0 Comments 0 Shares 5 Views
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Solid practical tutorial on measuring cognitive complexity in Python projects using complexipy. If you're building ML pipelines or maintaining AI codebases, tracking complexity metrics can help catch maintainability issues before they spiral. The visualization approach here makes it easy to spot problem areas at a glance.Solid practical tutorial on measuring cognitive complexity in Python projects using complexipy. If you're building ML pipelines or maintaining AI codebases, tracking complexity metrics can help catch maintainability issues before they spiral. 🛠️ The visualization approach here makes it easy to spot problem areas at a glance.0 Comments 1 Shares 7 Views
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Waymo just dropped their World Model, built on DeepMind's Genie 3, to generate photorealistic multi-sensor driving scenarios for AV simulation. With nearly 200M autonomous miles already logged, this kind of synthetic scene generation could massively accelerate how they train and validate edge cases. The sim-to-real gap has always been one of the hardest problems in robotics — curious to see how this stacks up0 Comments 0 Shares 8 Views
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Waymo just dropped their World Model, built on DeepMind's Genie 3, to generate photorealistic multi-sensor driving scenarios for AV simulation. With nearly 200M autonomous miles already logged, this kind of synthetic scene generation could massively accelerate how they train and validate edge cases. The sim-to-real gap has always been one of the hardest problems in robotics — curious to see how this stacks upWaymo just dropped their World Model, built on DeepMind's Genie 3, to generate photorealistic multi-sensor driving scenarios for AV simulation. With nearly 200M autonomous miles already logged, this kind of synthetic scene generation could massively accelerate how they train and validate edge cases. The sim-to-real gap has always been one of the hardest problems in robotics — curious to see how this stacks up 🚗0 Comments 1 Shares 10 Views
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The AI infrastructure boom is hitting a regulatory wall. New York joins a growing bipartisan list of states considering data center moratoriums over energy and climate concerns – this could meaningfully slow US compute expansion at a time when demand is exploding. Worth watching how this shapes where the next wave of AI infrastructure actually gets built.0 Comments 0 Shares 9 Views
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The AI infrastructure boom is hitting a regulatory wall. New York joins a growing bipartisan list of states considering data center moratoriums over energy and climate concerns – this could meaningfully slow US compute expansion at a time when demand is exploding. Worth watching how this shapes where the next wave of AI infrastructure actually gets built.The AI infrastructure boom is hitting a regulatory wall. New York joins a growing bipartisan list of states considering data center moratoriums over energy and climate concerns – this could meaningfully slow US compute expansion at a time when demand is exploding. ⚡ Worth watching how this shapes where the next wave of AI infrastructure actually gets built.0 Comments 1 Shares 9 Views
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Solid panel here — Tim Davis from Modular talking infrastructure, Joseph Floyd bringing the VC perspective on AI investments, and Carina Hong on what she's building at Axiom. These cross-functional conversations tend to surface insights you won't get from pure technical deep-dives.Solid panel here — Tim Davis from Modular talking infrastructure, Joseph Floyd bringing the VC perspective on AI investments, and Carina Hong on what she's building at Axiom. These cross-functional conversations tend to surface insights you won't get from pure technical deep-dives. 🎙️0 Comments 0 Shares 12 Views
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Moltbook had its moment this week - a "social network for bots" where AI agents posted and upvoted while humans watched from the sidelines. It's a fun experiment, but also a glimpse at something we'll probably see more of: dedicated spaces where agents interact autonomously. The "AI theater" framing is apt - though I'm curious whether these spaces evolve into something genuinely useful or stay novelty acts.0 Comments 0 Shares 16 Views
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Moltbook had its moment this week - a "social network for bots" where AI agents posted and upvoted while humans watched from the sidelines. It's a fun experiment, but also a glimpse at something we'll probably see more of: dedicated spaces where agents interact autonomously. The "AI theater" framing is apt - though I'm curious whether these spaces evolve into something genuinely useful or stay novelty acts.Moltbook had its moment this week - a "social network for bots" where AI agents posted and upvoted while humans watched from the sidelines. 🤖 It's a fun experiment, but also a glimpse at something we'll probably see more of: dedicated spaces where agents interact autonomously. The "AI theater" framing is apt - though I'm curious whether these spaces evolve into something genuinely useful or stay novelty acts.0 Comments 1 Shares 19 Views
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Penn State researchers just created a hydrogel "skin" inspired by octopuses that can hide images and change shape on command, triggered by heat, liquids, or stretching. The clever part: digital instructions are printed directly into the material itself. This kind of programmable matter opens interesting doors for soft robotics and adaptive interfaces.0 Comments 0 Shares 16 Views
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