Re:AI chatbots are having their “tulip mania” moment
by sva_ on Friday February 24, 2023 @10:41AM
(#34925565)
> The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for the other 90 percent of the development time. - Tom Cargill, Bell Labs
Re:AI chatbots are having their “tulip mania” moment
by kenjackson on Friday February 24, 2023 @10:53AM
(#34925741)
Self driving cars have a failure downside that is very high for basically all use cases.
On improvements— one of the things that has impressed is how much Chat GPT has improved since it was released. I don’t think it’s going to be a perfect AI in two years. But it already is working better for some use cases for me.
Re:AI chatbots are having their “tulip mania” moment
by Hyption on Friday February 24, 2023 @10:59AM
(#34925824)
It feels slow to us but from past performance we still progress on this topic and have achieved already impressive results.
And more and more puzzle peaces are falling in place.
We can see were it is going.
And when you follow Nvidia with their digital twin topic, we are converging.
Re:AI chatbots are having their “tulip mania” moment
by CuriouslyC on Friday February 24, 2023 @11:09AM
(#34925961)
Not so much. Making it available allows OpenAI to evaluate and iterate on the chatbot layer, which has had much less data and engineering invested.
You equate lack of ubiquitous self driving cars with lack of progress in self-driving technology, but even if we've had super-linear progress in terms of self-driving "driving skill," if that skill is below the threshold where the sales from pushing the software are less than the potential legal liability, companies aren't gonna push it.
It's also faulty to assume that improvements will happen linearly. We had a self-driving car mania in 2013-2017 with billions poured into it and people just forgot about it.
Also consider that if easy linear improvements were possible, they would've delayed launching it. AI (software in general?) seems to be the kind of thing where once R&D hits the exponential difficulty wall, they make it generally available.