Comment by cthalupa
16 hours ago
The fact that there is absurd AI hype right now doesn't mean that we should let equally absurd bullshit pass on the other side of the spectrum. Having a reasonable and accurate discussion about the benefits, drawbacks, side effects, etc. is WAY more important right now than being flagrantly incorrect in either direction.
Meanwhile this entire comment thread is about what appears to be, as fumi2026 points out in their comment, a predatory marketing play by a startup hoping to capitalize on the exact sort of anti AI sentiment that you seem to think is important... just because there is pro AI sentiment?
Naming and shaming everyday researchers based on the idea that they have let hallucinations slip into their paper all because your own AI model has decided thatit was AI so you can signal boost your product seems pretty shitty and exploitative to me, and is only viable as a product and marketing strategy because of the visceral anti AI sentiment in some places.
“anti-ai sentiment”
No that’s a straw man, sorry. Skepticism is not the same thing as irrational rejection. It means that I don’t believe you until you’ve proven with evidence that what you’re saying is true.
The efficacy and reliability of LLMs requires proof. Ai companies are pouring extraordinary, unprecedented amounts of money into promoting the idea that their products are intelligent and trustworthy. That marketing push absolutely dwarfs the skeptical voices and that’s what makes those voices more important at the moment. If the researchers named have claims made against them that aren’t true, that should be a pretty easy thing for them to refute.
The cat is out of the bag tho. AI does have provably crazy value. Certainly not the agi hype marketing spews and who knows how economically viable it would be without vc.
However, i think any one who is still skeptical of the real efficacy is willfully ignorant. This is not a moral endorsement on how it was made or if it is moral to use but god damn it is a game changer across vast domains.
There were a number of studies already shared reporting on the impression of increased efficiency without the actual increase in efficiency.
Which means that it's still not a given, though there are obviously cases where individual cases seem to be good proof of it.
Isn’t that the whole point of publishing? This happened plenty before AI too, and the claims are easily verified by checking the claimed hallucinations. Don’t publish things that aren’t verified and you won’t have a problem, same as before but perhaps now it’s easier to verify, which is a good thing. We see this problem in many areas, last week it was a criminal case where a made up law was referenced, luckily the judge knew to call it out. We can’t just blindly trust things in this era, and calling it out is the only way to bring it up to the surface.