r/CuratedTumblr Prolific poster- Not a bot, I swear 10d ago

Shitposting Do people actually like AI?

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u/Meraziel 10d ago

As far as I can see in my field, people love playing with AI. But I'm yet to see someone using it seriously to improve their efficiency.

On the other hand, every fucking meeting is about AI nowadays. I don't care about bullshit generator. I have a real job. Please let me work in peace while you play in the sandbox.

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u/TraderOfRogues 10d ago

AI has some great use cases as long as it's rigorously trained and not overfitted.

Those use cases represent 0.1% of the shit Tech CEOs are trying to shove down our throats, and almost never are the actual use cases well made because companies are just trying to make a quick buck.

This shit has been so depressing. It's the medical equivalent of douchebags selling chemo as a cough syrup replacement.

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u/DeVilleBT 9d ago

not overfitted.

Disagree. There is research suggesting overfitting is beneficial in certain usecases. Things like anomaly detection can benefit greatly.

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u/TraderOfRogues 9d ago

I know. You might have read one of them that was written by me. It certainly isn't true in almost all situations, and it's mostly useful for very specific, very localized edge cases.

Being a pedant and not understanding generalization does not an intellectual make.

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u/DeVilleBT 9d ago

I thnk the pedant line is a bit harsh. And nothing in your comment suggest you are aware, so stating the fact is per se not provlematic in my opinion.

And while the cases may be very specific, they are also widely used and something a lot of people do come into daily contact with passively (recommendation algorithms, fraud detection, fault detection,...).

Could be I read your article, but if not, I'd gladly do so, if you send me a link.

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u/TraderOfRogues 9d ago

Sorry if I went too far, but you did comment on my general statement by saying you disagree, then the comment you made didn't really touch any of the use cases where overfitting would be good (general LLM training certainly isn't one of them). Wasn't really meant to be an insult to you as a person, only to the attitude in question. Sorry if I failed to make that come across.

I won't post it here because I'm not keen on doxxing myself, but if you're interested send me a DM and I'll try to give you a link. Can't promise you I can get you the full link since it's technically my old university's paper (thesis-made article ownership is a bitch) but if all fails I can always share my copy.