If you think businesses have sunk this much money and effort into AI and didn’t do a cost-benefit analysis that stretched out decades, you are being naive or disingenuous.
Are you kidding? We literally just watched the same bubble and burst in companies that rushed to get their piece of the Metaverse and NFT cash grab. I worked at a SaaS company that decided to add AI features because it was in the news and Azure offered it as a service. There was zero financial analysis done, just like for every other feature they added
I’m sure Microsoft has a plan since they invested heavily. But even Google is playing catch-up like they did with GCP.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product, even if it were the perfect realization of the ideal.
Yes AI techniques obviously have utility. 90% of the spend is by companies that don’t even know what that utility might be. With that much noise, it’s hard to keep track of the value.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product
Yes, I see what you are saying. I guess we can add ‘blockchain’ to that list, then.
pretty much all improvements aren’t “better tech”, but just “bigger tech”. Reducing their footprint is an unsolved problem (just like it has always been with neural networks, for decades)
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Are you kidding? We literally just watched the same bubble and burst in companies that rushed to get their piece of the Metaverse and NFT cash grab. I worked at a SaaS company that decided to add AI features because it was in the news and Azure offered it as a service. There was zero financial analysis done, just like for every other feature they added
I’m sure Microsoft has a plan since they invested heavily. But even Google is playing catch-up like they did with GCP.
AI is actually useful.
The metaverse and NFTs aren’t.
Your analogy is not a 1:1 representation of the situation and only serves to distract from the topic at hand.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product, even if it were the perfect realization of the ideal.
Yes AI techniques obviously have utility. 90% of the spend is by companies that don’t even know what that utility might be. With that much noise, it’s hard to keep track of the value.
Yes, I see what you are saying. I guess we can add ‘blockchain’ to that list, then.
Yes. Top post in this thread is someone cheering that AI won’t replace people in hollywood.
Just give it time. Remember how poor voice recognition and translation software was at first?
I really like how I’m just “someone” here now.
To be fair, who pays attention to user names?
I do. 🥺
pretty much all improvements aren’t “better tech”, but just “bigger tech”. Reducing their footprint is an unsolved problem (just like it has always been with neural networks, for decades)
Optimization is a problem that cannot be “solved” by definition, but a lot of work is being done on it with some degree of success