Using an LLM as a chess engine is like using a power tool as a table leg. Pretty funny honestly, but it’s obviously not going to be good at it, at least not without scaffolding.
Then again, our corporate lords and masters are trying to replace all manner of skilled workers with those same LLM “AI” tools.
And clearly that will backfire on them and they’ll eventually scramble to find people with the needed skills, but in the meantime tons of people will have lost their source of income.
If you believe LLMs are not good at anything then there should be relatively little to worry about in the long-term, but I am more concerned.
It’s not obvious to me that it will backfire for them, because I believe LLMs are good at some things (that is, when they are used correctly, for the correct tasks). Currently they’re being applied to far more use cases than they are likely to be good at – either because they’re overhyped or our corporate lords and masters are just experimenting to find out what they’re good at and what not. Some of these cases will be like chess, but others will be like code*.
(* not saying LLMs are good at code in general, but for some coding applications I believe they are vastly more efficient than humans, even if a human expert can currently write higher-quality less-buggy code.)
yeah, we agree on this point. In the short term it’s a disaster. In the long-term, assuming AI’s capabilities don’t continue to improve at the rate they have been, our corporate overlords will only replace people for whom it’s actually worth it to them to replace with AI.
Using an LLM as a chess engine is like using a power tool as a table leg. Pretty funny honestly, but it’s obviously not going to be good at it, at least not without scaffolding.
Then again, our corporate lords and masters are trying to replace all manner of skilled workers with those same LLM “AI” tools.
And clearly that will backfire on them and they’ll eventually scramble to find people with the needed skills, but in the meantime tons of people will have lost their source of income.
If you believe LLMs are not good at anything then there should be relatively little to worry about in the long-term, but I am more concerned.
It’s not obvious to me that it will backfire for them, because I believe LLMs are good at some things (that is, when they are used correctly, for the correct tasks). Currently they’re being applied to far more use cases than they are likely to be good at – either because they’re overhyped or our corporate lords and masters are just experimenting to find out what they’re good at and what not. Some of these cases will be like chess, but others will be like code*.
(* not saying LLMs are good at code in general, but for some coding applications I believe they are vastly more efficient than humans, even if a human expert can currently write higher-quality less-buggy code.)
The problem is that they’re being used for all the things, including a large number of tasks that thwy are not well suited to.
yeah, we agree on this point. In the short term it’s a disaster. In the long-term, assuming AI’s capabilities don’t continue to improve at the rate they have been, our corporate overlords will only replace people for whom it’s actually worth it to them to replace with AI.