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Its now a polite way of saying "I dont want to work on this project" without having to go through the effort of thinking hard enough about the problem to put the "go away" price on it (or even worse having to DO the work I dont want to do).
>I wanted the thing 30 years had taught him Unpopular answer that the author seems to be dismissing: Maybe the thing that 30 years has taught this guy is that the LLMs can answer the question better than he can. Or that he can't give a substantive answer without doing research into it with an LLM. >LMGTFY I mostly saw LMGTFY used when the question was the sort of thing that a person would have to research but that go…
Get used to it. People are lazy, and if they can deflect work off to an LLM, they will, as long as (crucially) it doesn't reflect poorly on them with anyone they care about.
LLM's are good at learning from whatever humans have posted online. But with the agentic workflows getting more popular, more and more problems those AI agents figure out are not posted online, and the next time another agent running into the same problems they would have to figure it out from the scratch again. It'd be nice if there's a mechanism these agents would share the lessons they learn with each other, which could save a lot of trials and errors and wasted tokens. Humans share knowledge online. AI agents should be able to do so too. The moltbook thing from half year ago could have this potential, but too bad it's flooded by spams.
Of course, to make this AI knowledge sharing truly work, there may need to be a peer-review mechanism to ensure the knowledge being shared is truthful, reliable, non-trivial etc. That can probably be all worked out if somebody (or AI agent) really put effort into it.
Earlier quoted context omitted.
— I thought about this and found there are options A, B, and C of doing X, I like A more but C is the fastest; what do you think? — Ask Claude.
Its a way to say I don't care, don't waste my time
To be honest, I'm more worried about another side of the problem. LLM's are good at learning from whatever humans have posted online. But with the agentic workflows getting more popular, more and more problems those AI agents figure out are not posted online, and the next time another agent running into the same problems they would have to figure it out from the scratch again. It'd be nice if there's a mechanism thes…
Get used to it. People are lazy, and if they can deflect work off to an LLM, they will, as long as (crucially) it doesn't reflect poorly on them with anyone they care about.
So, if you want to have any decent company culture, make it reflect poorly on them .
Earlier quoted context omitted.
Anyone who recommends to ask an LLM in the first situation will do so in the second because they're a shit engineer. "Ask the LLM" is not at all a valid answer in a professional context where part of your job is to educate the less experienced, no matter how little effort is put in the question.
Sometimes part of the education is teaching people how to ask better questions, and that they need to do their research before asking you
(HTTP) http://linuxmafia.com/faq/Essays/smart-questions.html