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Ask HN: Does robotics capabilities research accelerate AGI timelines?For context, I am a final-year math + CS undergraduate considering pursuing a career in theoretical robotics, particularly in continual learning and the development of robots that can learn from and adapt to / navigate their environments in a human-like manner. One concern I have, however, is that such research might advance AGI timelines. Specficially, it seems possible that architectures developed for continual learning in robots could transfer to general AGI systems (even if the AGI systems are non-embodied, since capabilities such as continual adaptation and long-term objective pursuit may generalize beyond physical tasks.) Is this a valid concern, and is it a common view within the AI safety community? I.e. would mainstream AI safety researchers view either of these directions as meaningfully contributing to AGI capabilities? Or are there strong reasons to believe that work on continual learning in robotics would not significantly accelerate AGI timelines? Would appreciate honest
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Microsoft AI chief says company was “set free” from OpenAI to pursue superintelligenceFor three years, Microsoft's artificial intelligence story has been inseparable from OpenAI. The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early access ...
Anthropic warns self‑improving AI could escape controlAnthropic said on Thursday frontier AI developers should establish a coordinated, verifiable way to slow down or temporarily pause development if advanced systems begin improving themselves faster ...