…472 pages of “practical advice designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book
AI
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Melania Trump Presents Humanoid Robot at White House Tech Event
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First Lady Melania Trump walks with robot to White House event on children's Technology! https://
youtu.be/7sHSBgU5p4Y?si
=0KqdLBndOSB5Zsp-
… via @YouTube #whitehouse #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI #technology -
MCP Gateways and Agent Monitors: Infrastructure for AI Model Enhancement
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hopefully those that complement and make things around the models better. (we build mcp gateways and agent monitors)
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Tips for Prompting Lyria 3 Music Generation Model
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Some initial tips for prompting Lyria 3: – prompt your musical style separately to your lyrics
– prompt for the subject of your lyrics, and set context for the lyrics for best results
– you don’t need to specify instruments, but if you want something unusual, it works, like a -

Nature Paper Reveals Scaling Law for AI-Generated Science Quality
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One of the most exciting findings in our @Nature paper is the discovery of a clear scaling law of AI science. By using our Automated Reviewer to grade papers generated by different foundation models, we observed that as the underlying models improve, the quality of the generated
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Companies need R&D budgets for AI organizational experiments
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And yes, this means companies will also require a R&D budget for areas of the company that traditionally have not required R&D — you need to experiment with organizational approaches, new ways of structuring projects, skill/agent building techniques, and other ways to apply AI.
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J-curve for AI: bold experiments beat fast follower risk
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The whole reason for the J-curve for new technologies is that there is some cost to learning and experimentation. And for AI, there may be outsized returns to really bold (and often quite cheap) experiments. Fast follower is a risky strategy with exponential improvement happening
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AI failure absence shows lack of ambition
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I think that if companies are not failing at all with their AI efforts it is a sign that they are not being ambitious enough. This is a fundamentally new technology that we do not know how to use well. Achieving breakthroughs will require experimentation, which require failure.
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Massive GPU Giveaway Announced, Potentially Including Full Machines
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yeah that makes sense, thx. impressive and cool to see this working! will poke around a bit more 🙂
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AGI Requires Novel Task Mastery
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AGI hasn't been achieved until AI beats or ties humans at tasks neither has done before.