AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
I’ve been wondering, if you could combine LLMs with a logic programming language like Prolog. The latter is actually able to reason through things, you “just” have to express them in Prolog facts and rules.
Well, from doing a quick online search, I’m most certainly not the first person to think of this, which does not surprise me at all…
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I’ve been wondering, if you could combine LLMs with a logic programming language like Prolog. The latter is actually able to reason through things, you “just” have to express them in Prolog facts and rules.
Well, from doing a quick online search, I’m most certainly not the first person to think of this, which does not surprise me at all…
it’s always nice to get validated in your logic though :)