[MostlyStable]

I notice that a lot of people seem to only focus on the things that AI can't do or the cases where it breaks, and seem unwilling or incapable of focusing on things it can do.

The reality is that both things are important. It is necessary to know the limitations of AI (and keep up with them as they change), to avoid getting yourself in trouble, but if you ignore the things that AI can do (which are many, and constantly increasing), you are leaving a ton of value on the table.

[aleph_minus_one]

> I notice that a lot of people seem to only focus on the things that AI can't do or the cases where it breaks, and seem unwilling or incapable of focusing on things it can do.

I might be one of these people, but in my opinion, one should not concentrate on things that it can do, but for how many of the things where an AI might be of help for you,

- it does work

- it only "can" do it in a very broken way

- it can't do that

At least for the things that I am interested in an AI doing for me, the record is rather bad.

[signatoremo]

Just because AI doesn’t work for you, doesn’t mean it doesn’t work for other people. Ozempic may have no effect, or even harmful to you, but it’s a godsend for many others. Acknowledge that, instead of blindly insisting on your use cases. It’s fine to resist the hype, but it’s foolish to be willfully ignorant.

[vladms]

How do you define "can do" ? Would answering correctly 9 out of 10 questions correctly for a type of question (like give directions knowing a map) mean it "can do" or that it "can't do" ?

Considering it works for so many cases, I think it is naturally to point out the examples where it does not work - to better understand the limit.

Not to mention that practically, I did not see anything proving that it will always "be able" to do something . Yes, it works most of the times for many things, but it's important to remember it can (randomly?) fail and we don't seem to be able to fix that (humans do that too, but having computers fail randomly is something new). Other software lets say a numerical solver or a compiler, are more stable and predictable (and if they don't work there is a clear bug-fix that can be implemented).

[alephnerd]

Yep! Nuance is critical, and sadly it feels like nuance is dying on HN.

[Tepix]

This very discussion feels nuanced so i don't share your sentiment.