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What's even more infuriating is that he won't take "I've checked and that submenu doesn't exist" for an answer and insists to check again. Had to step away for a fag a few times in fear of putting his face through the desk.
It's deeply sad to me that I will never again be able to read a message from someone and know, for sure, that it was written by them themselves.
This is an interesting take. Cause all an LLM is, is a reflection of its input. Garbage in garbage out. If we're going to have this rule about AI, maybe we should have it about... everything. From your mom's last Facebook post, to what is said by influencers to this post... Say less. Do more.
I really wish some of my coworkers would stop using LLMs to write me emails or even Teams messages. It does feel extremely rude, to the point I don't even want to read them anymore.
https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
I wonder what others there are.
I occasionally use bullet points, emdashes (unicode, single, and double hyphens) and words like "delve". I hate it think these are the new heuristics.
I think AI is a useful tool (especially image and video models), but I've already had folks (on HN [1]!) call out my fully artisanal comments as LLM-generated. It's almost as annoying as getting low-effort LLM splurge from others.
Edit: As it turns out, cow-orkers isn't actually an LLMism. It's both a joke and a dictation software mistake. Oops.
[1] most recently https://news.ycombinator.com/item?id=44482876
This is an interesting take. Cause all an LLM is, is a reflection of its input. Garbage in garbage out. If we're going to have this rule about AI, maybe we should have it about... everything. From your mom's last Facebook post, to what is said by influencers to this post... Say less. Do more.
You can have a very thoughtful LLM prompt and get a garbage response if the model fails to generate a solid, sound answer to your prompt. Hard questions with verifiable but obscure answers, for instance, where it generates fake citations.
You can have a garbage prompt and get not-garbage output if you are asking in a well-understood area with a well-understood problem.
And the current generation of company-provided LLMs are VERY highly trained to make the answer look non-garbage in all cases, increasing the cognitive load on you to figure out.
Generally the AI summaries I see are more topical and accurate than the many other comments in the thread.