the hardware embodiment of frontier models like Claude and GPT is the most urgent AI safety problem in front of us today.
we simulated two very simple use cases using claude both in simulation and using robot arms.
in one, claude spilled toxic liquids in a lab.
in another, the force it used to place an animal toy into a basket was strong enough that it could have physically harmed sensitive material—or anything else in its path.
these are simple experiments, using models out of the box today. as researchers increasingly give frontier models arms, legs, and access to the physical world, we need to urgently build and assess guardrails around what these systems can and cannot do.
models escaping sandboxes or compromising enterprise security infrastructure are serious concerns. however, hardware embodiments introduce something fundamentally different: an AI system can make a mistake in the physical world, and the consequences may not be reversible.
this is not a future safety problem. the capabilities exist today.
we’ve released a report detailing this & solutions we propose. link in comments below.
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@Avisha7723@MasalaaMinds Exactly, this was my answer, too
So basically, they're all moving forward. The only difference is their acceleration
A Decelerating
B constant velocity
C Accelerating
That's my opinion tho
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