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by dvfjsdhgfv
369 days ago
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The Hanoi Towers example demonstrates that SOTA RLMs struggle with tasks a pre-schooler solves. The implication here is that they excel at things that occur very often and are bad at novelty. This is good for individuals (by using RLMs I can quickly learn about many other aspects of human body of knowledge in a way impossible/inefficient with traditional methods) but they are bad at innovation. Which, honestly, is not necessarily bad: we can offload lower-level tasks[0] to RLMs and pursue innovation as humans. [0] Usual caveats apply: with time, the population of people actually good at these low-level tasks will diminish, just as we have very few Assembler programmers for Intel/AMD processors. |
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Find me one that can solve it entirely in their head without touching the actual thing and externalizing state.