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105 points rbanffy | 1 comments | | HN request time: 0.203s | source
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DyslexicAtheist ◴[] No.42197320[source]
every other article these days on this site is about AI. And it's incredibly tedious and annoying.

Isn't it enough that clueless marketers who get their Tech knowledge from businessinsider and bloomberg are constantly harping on about AI.

Seems we as a community have resigned or given up in this battle against common sense. Maybe long ago. Still there should be some form of moderation penalizing these shill posts that only glorify AI as being the future, ... the same way that not everything about crypto or the blockchain ended up on the FP. Seems with AI we're looking the other way and are OK with it?

Or maybe it's me.

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steveBK123 ◴[] No.42203638[source]
Not just you. Clearly useful tools coming out of this AI crazy, but a LOT of fluff.

Outside of pure tech companies, there's a lot of "Head of AI" hiring by CTOs to show "we are doing AI" regardless of if they have found any application for it yet.

I've also seen a lot of product pivots to AI where they don't really have a need or explanation for the use case that AI helps with.

Further I've seen a number of orgs that were laggards in their internal technology become incredibly distracted thinking AI will solve for them not having even a proper rudimentary 2010s class IT org.

I think the comedown from this will be worse than crypto as while there will be more real use cases, there is far more hype based "we have to do something" adoption that hasn't found a use yet. A lot of orgs that remained weary of crypto got fully on the AI bandwagon. Investment must be an order of magnitude more.

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pfdietz ◴[] No.42206317[source]
> Clearly useful tools coming out of this AI crazy, but a LOT of fluff.

Isn't this true of every boom? Like A.C. Clarke said, you find the limits of the possible by venturing into the impossible.

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1. steveBK123 ◴[] No.42207319[source]
On the adoption side, no.

This feels way more like the 90s IT offshoring wave where it was forced bluntly, top down because they thought it would save money.

Things like crypto or cloud or big data had a much longer and measured adoption cycle.