Democratizing Automation

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Tales of the open and closed sides, how these two dynamics will dictate progress and public perception.
Nathan Lambert
Re-naming arms races; bridging communities; aligning ChatGPT, and more.
Nathan Lambert
AI is much more fun to think about when AGI is an adjective, not a finish line.
Nathan Lambert
How we’re passing through different eras of how reinforcement learning is viewed.
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Robotics Transformers, DreamerV3, XLand 2, and hoping that scaling laws are coming embodied AI.
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How an unlikely corner of robotics research, locomotion, defined RL's new notion of success.
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My predictions for machine learning this year: 3D assets, self-driving, GPT4, RLHF, Deep RL, diffusion models, and conference cycles.
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Models aren't moats and how emergent behavior scaling laws will change the business landscape.
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Model-as-a-service makes more sense when there is a data advantage to back it up.
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Common machine learning systems are starting to deploy the RL lens of feedback.
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A private space for us to converse and connect
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A musing on how I think autonomous system companies should use RL.
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Democratizing Automation

On machine learning and robotics. The interface of systems and society. The border between high-level and technical thinking.
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