Automated systems making consequential decisions with insufficient human oversight
But those tricks, I believe, are quite clear to everybody that has worked extensively with automatic programming in the latest months. To think in terms of “what a human would need” is often the best bet, plus a few LLMs specific things, like the forgetting issue after context compaction, the continuous ability to verify it is on the right track, and so forth.
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Read's agency is currently funding various pioneering approaches to robotics, some of which involve actuators made of elastomers – like rubbery plastics. Such material might be sandwiched between electrodes so that they contract or expand as voltage is applied and removed, for example. Not unlike an animal muscle.
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