“See, no matter how much I’m trying to force this sewing machine to be a racecar, it just can’t do it, it’s a piece of shit”
Just because there are similarities, if you misuse LLMs, they won’t perform well. You have to treat it as a tool, with a specific purpose. In case of LLMs that purpose is to take a bunch of input tokens, analyse them, and output the most likely output tokens that is statistically the “best response”. The intelligence is putting that together, not “understanding tic tac toe”. Mind you, you can tie in other ML frameworks for specific tasks that are better suited for those -e.g. you can hook up a chess engine (or tic tac toe engine), and that will beat you every single time.
Or an even better example… Instead of asking the LLM to play tic-tac-toe with you, ask it to write a Bash/Python/JavaScript tic-tac-toe game, and try playing against that. You’ll be surprised.
If LLMs can’t do whatever you tell them based purely on natural language instructions then they need to stop advertising it that way.
It’s not just advertisement that’s the problem, do any of them even have user manuals? How is a user with no experience prompting LLMs (which was everyone 3 years ago) supposed to learn how to formulate a “correct” prompt without any instructions? It’s a smokescreen for blaming any bad output on the user.
Oh, it told you to put glue in your pizza? You didn’t prompt it right. It gives you explicit instructions on how to kill yourself because you talked about being suicidal? You prompted it wrong. It completely makes up new medical anatomical terminology? You have once again prompted it wrong! (Don’t make me dig up links to all those news stories)
It’s funny the fediverse tends to come down so hard on the side of ‘RTFM’ with anything Linux related, but with LLMs it’s actually the user’s fault for believing they weren’t being sold a fraudulent product without a user manual.
“See, no matter how much I’m trying to force this sewing machine to be a racecar, it just can’t do it, it’s a piece of shit”
Just because there are similarities, if you misuse LLMs, they won’t perform well. You have to treat it as a tool, with a specific purpose. In case of LLMs that purpose is to take a bunch of input tokens, analyse them, and output the most likely output tokens that is statistically the “best response”. The intelligence is putting that together, not “understanding tic tac toe”. Mind you, you can tie in other ML frameworks for specific tasks that are better suited for those -e.g. you can hook up a chess engine (or tic tac toe engine), and that will beat you every single time.
Or an even better example… Instead of asking the LLM to play tic-tac-toe with you, ask it to write a Bash/Python/JavaScript tic-tac-toe game, and try playing against that. You’ll be surprised.
If LLMs can’t do whatever you tell them based purely on natural language instructions then they need to stop advertising it that way.
It’s not just advertisement that’s the problem, do any of them even have user manuals? How is a user with no experience prompting LLMs (which was everyone 3 years ago) supposed to learn how to formulate a “correct” prompt without any instructions? It’s a smokescreen for blaming any bad output on the user.
Oh, it told you to put glue in your pizza? You didn’t prompt it right. It gives you explicit instructions on how to kill yourself because you talked about being suicidal? You prompted it wrong. It completely makes up new medical anatomical terminology? You have once again prompted it wrong! (Don’t make me dig up links to all those news stories)
It’s funny the fediverse tends to come down so hard on the side of ‘RTFM’ with anything Linux related, but with LLMs it’s actually the user’s fault for believing they weren’t being sold a fraudulent product without a user manual.
Sounds like you’re the kind of person who needs the “don’t put your fucking pets in the microwave” warnings.