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"are we talking pure LLMs, or existing AI solvers augmented with LLM" Why do these distinctions matter? is it an LLM, or symbolic, or a combo, or a dozen tec
by FrustratedMonky 6mo ago
"are we talking pure LLMs, or existing AI solvers augmented with LLM"
Why do these distinctions matter?
is it an LLM, or symbolic, or a combo, or a dozen technologies stitched together. Who cares. It is all automation. It is all artificial.
- suddenlybananas 6mo agoThe distinctions matter since computational proofs have been around for decades.
- DarkNova6 6mo agoTrue, it's an achievement either way. But if an "out of the box LLM" can solve difficult math problems it is an achievement by the LLM vendor. Otherwise it is an achievement by the people doing the vertical integration. In the context of evolving LLM this is the crucial distinction.
- layer8 6mo agoIt matters in terms of whether it’s generalizable. We had computers do impressive specific things since decades.
- FrustratedMonky 6mo agoSure. But 'purely LLM' also isn't a definition for generalizable.