Now crypto is used primarily for crime and speculation, which is exactly what we'll be using GenAI for in a few years, especially as it poisons its own source of training data.
I’d argue that transformer-driven AI could follow the exact same trajectory: hype cycle driven by people imagining legitimately transformative use cases, which is ultimately popped when we realize the actual here-and-now implementations don’t work that way.
The idea of transferring value over the internet using one common, frictionless, ownerless system isn’t dead; it can’t be, because it’s simply too good of an idea. But nothing actually offers that. Actual artificial intelligence is, likewise, too good of an idea to ever be “dispelled” or dismantled. The only room for doubt is whether the technical designs we have today are actually AI… or just some wannabe scam coins that LOOK like AI.
GenAI is used by people for all sorts of purposes. Anecdotally, it has largely replaced my own usage of traditional search engines.
This strikes me as a false equivalence the same way comparisons to the dot com bubble do.
Depending on the search, I either don’t care, or I use something like perplexity, which includes its references.
I don't think the current generation of AI will go away -- there are too many use cases for it. I think it will take some time as people and companies experiment with it, find what works and what doesn't. Then, some use cases will disappear but others will remain -- like how autocorrect came from previous generation of AI tech.
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With the code autocomplete it works best when there is repetitive logic such as doing the same thing for each variable in a class.
With interactive story telling it can be good, but can often say things that don't make sense or not pick up on the subtext of what you are saying. It can still be entertaining. -- I still use other forms of entertainment.
On the TTS side, I've been using it for reading articles and stories for a long time. The current gen models are very good quality wise, but need work on accuracy and artefacts in generation.