zlacker

>>kcorbi+(OP)
The major difference between the 2 is how they're being adopted by customers and the tangible value they return.

AI/ML barrier to entry is far simpler and vastly user friendly compared to crypto. Instant value return or gratification from ML products (GTPs and rest) is far more mainstream friendly.

Another view is the "loss" factor. Nobody, thus far, has has had their funds stolen or lost using ML products. I understand content creators and those who, unwillingly, contributed knowledge to learning systems did get circumvented but i'm talking about users/customers. Compare that to the negative stigma of crypto frauds and stereotypical association to illegal transactions.

Apples vs. rotten oranges in my opinion!

>>bamazi+Ye
You are not seeing maybe the numerous consultants and self proclaimed AI experts charging for very dubious solutions. Money is definitely being “stolen”, it’s just a more sophisticated type of stealing. I have yet to see an AI solution that delivers x times the value of simpler rule based models.

>>kfk+hp
You don't see value in retrieval augmented generation? It seems like one of the major use cases in knowledge management in larger organizations that is hard to replicate without an LLM.

They also seem to work very well for summarizing large amounts of data, for automating the generation of basic legal texts, for extracting key data points from paperwork (invoices, mortgage applications, bank statements, etc).

It's useful to separate whether there is a lot of dubious hype (true of any new foundational technology) from whether useful things are being done. Both can be true at the same time. Lots of fraud and stupidity, but also lots of valuable work happening. With crypto, there was none of the latter, other than criminal applications.

The internet also attracted lots of hype and poor ROI consulting projects...but here we are.