7 ms·
You’re a very poor user of LLMs if they’re not a net time saver for you.
by ban-evader 2y ago
You’re a very poor user of LLMs if they’re not a net time saver for you.
- Cheer2171 2y agoSo the No True Scotsman fallacy of LLM productivity?
- gdhkgdhkvff 2y agoMost people do see productivity gains from using LLMs correctly. Myself included. Just because some people don’t learn how to use them correctly doesn’t mean LLMs aren’t helpful. It’s like when internet search came out and a handful of laggards tried it once, failed to get the exact perfect result, and declared “internet search is useless”. Using a tool wrong is not evidence of the tool being useless, it’s evidence that you need to learn how to use the tool.
- smeeger 2y agohallucinations are literally the finger in the dam. if these models could sense when an output is well-founded and simply say “i dont know” otherwise… say goodbye to your job
- gdhkgdhkvff 2y agoGoogling a question and finding an incorrect answer every now and then doesn’t mean that googling is useless. It means that you need to learn how to use google. Trust but verify. Use it for scenarios where you aren’t looking for it to be the trusted fact checker. It excels at brainstorming, not at fact giving.
- aprilthird2021 2y agoI agree with your last sentence strongly, but a lot of the benchmarks are based on factual accuracy
- gopher_space 2y ago> say goodbye to your job How many times do you think I've heard that over the past three decades? And you know what? They've been right every time, except for this one little fact: The machine cannot make you give a shit about the problem space.
- CrimsonRain 2y agoIt's a real issue! But only for people who built the habit of typing in address bar, clicking the first stack overflow link and copy paste the first answer. Maybe break that habit first?
- esafak 2y agoIt depends on what you're using it for, but you may well be holding it wrong.
- adolph 2y agoProbably closer to "You're Holding It Wrong"