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tablespoon | 2 years ago
A common thread tying those three things together is that, in large part, they're all impressive technologies in search of problems to solve.
Technologies like that are pretty much always overhyped and oversold.
tablespoon | 2 years ago
A common thread tying those three things together is that, in large part, they're all impressive technologies in search of problems to solve.
Technologies like that are pretty much always overhyped and oversold.
dvt|2 years ago
I'm no AI fanboy, but let's be fair: machine learning has been solving problems for decades now. From OCR, to translation, to facial recognition, etc. While GPT4 or DALL-e may be "toys," large models (be they language, vision, or otherwise) definitely have a future in business automation, data collation, military applications, etc.
WorldMaker|2 years ago
We're certainly doing more of (almost) everything explored/predicted by "the ancients", we're doing it all much, much faster with much more massive data sets of input and output. For me, though, there isn't a sense that we are doing anything substantially new beyond Moore's Law meets mega-scale GIGO. There's something of a pervasive feel to me to this hype cycle like we are just recreating past mistakes of boom and then (inevitable) bust and haven't learned enough from them.
But I've become too cynical, perhaps.
tomtheelder|2 years ago
I mean even crypto has some actual, meaningful use cases, it’s just not replacing all currencies and fundamentally reshaping financial systems like a lot of folks thought it would.