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nphardon | 19 days ago
Also: > As t→ts−t→ts− , the denominator goes to zero. x(t)→∞x(t)→∞. Not a bug. The feature.
Classic LLM lingo in the end there.
nphardon | 19 days ago
Also: > As t→ts−t→ts− , the denominator goes to zero. x(t)→∞x(t)→∞. Not a bug. The feature.
Classic LLM lingo in the end there.
uv-depression|19 days ago
It doesn't matter how smart you are, you still need to run experiments to do physics. Experiments take nontrivial amounts of time to both run and set up (you can't tunnel a new CERN in picoseconds, again no matter how smart you are). Similarly, the speed of light (= the speed limit of information) and thermodynamics place fundamental limits on computation; I don't think there's any reason at all to believe that intelligence is unbounded.
energy123|19 days ago
With frontier LLM agents, the digital loop is happening now to an extent (on inference code, harnesses, etc), and that extent probably grows larger (research automation) soon.
Pertinent to your point, however, is the physical feedback loop of robots making better robots/factories/compute/energy. This is an aspect of singularity scenarios like ai-2027.
In these scenarios, these robots will be the control mechanism that the digital uses to bootstrap itself faster, through experimentation and exploration. The usual constraints of physical law still apply, but it feels "unbounded" relative to normal human constraints and timescales.
A separate point: there's also deductive exploration (pure math) as distinct from empirical exploration (physics), which is not bounded by any physical constraints except for those that bound computation itself.
nphardon|19 days ago
snohobro|19 days ago
Doesn’t specify the 2020’s.
Either way, I do feel we are fast approaching something of significance as a species.
nphardon|19 days ago
ambicapter|18 days ago
I actually think this was nice writing, and it didn't strike me as LLM thought at all, specifically because of the terse delivery.
nphardon|18 days ago
hard_times|19 days ago