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by fernando_campos
108 days ago
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One big difference between LLM progress and robotics
is that language models benefited from purely digital
feedback loops — training, testing, and scaling could
all happen in simulation. Robotics still pays a heavy “reality tax”.
Every improvement eventually has to survive messy,
unstructured physical environments where sensing,
actuation, and safety interact in unpredictable ways. My guess is we’ll see a ChatGPT-like moment first in
semi-structured environments (warehouses, logistics,
industrial assistance) rather than homes. A general household robot feels closer to a GPT-4
equivalent problem than a GPT-3.5 one because reliability
matters much more when failure affects the physical world. |
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