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95% of Companies See ‘Zero Return’ on $30 Billion Generative AI Spend, MIT Report Finds
(thedailyadda.com)
this post was submitted on 21 Aug 2025
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Please let me know what major breakthrough has happened recently in the machine leaning field, since you're such an expert. Throwing more GPUs at it? Throwing even more GPUs at it? About the best thing I can come up with is "using approximately the full text of the Internet as training data," but that's not a technical advancement, it's a financial one.
Applying tensors to ML happened in 2001. Switching to GPUs for deep learning happened in 2004. RNNs/CNNs was 2010-ish. Seq2seq and GAN were in 2014. "Attention is All You Need" came out in 2017; that's the absolute closest to a breakthrough that I can think of, but even that was just an architecture from 2014 with some comparatively minor tweaks.
No, the only major new breakthrough I can see over the past decade or so has been the influx of money.
Then sell your services as a consultant to these businesses, and let them know it’s not actually doing anything different. Let the researchers know that Ai cant possibly be finding cancer at better rates than humans, because nothing’s changed.
Let the world know they fell for it, setup puts against the companies, and make bank.
Are you trying to claim that the fact that there's lots of money flowing to these AI companies is proof that AI isn't just a bubble caused by money flowing to these AI companies?
I’m saying, if you’re so confident it’s a bubble, why don’t you bet your life savings on it?
First of all, because it doesn't matter whether it's actually real or not, investment doesn't actually follow innovation. The actual value of a company or idea has almost nothing to do with its valuation.
But more importantly, why do you think that's the important part of this conversation? I'm not talking about its long term viability. Neither were you. You were just saying that it was a new innovation and still had to mature. I was saying that it was actually a much older technology that already matured, and which is being given an artificial new round of funding because of good marketing.
So are you alleging the studies, like the ones showing AI is vastly superior at identifying cancer in patients, are fabricated?
I'm saying they can only do it because the big innovation was "throw more money at it." Yes, given a functionally infinite amount of hardware, electricity, legal free reign, and publicity, I could invent a machine that does at least one (1) impressive thing, too.
Remember, these models weren't created to identify cancer in patients better than humans. They were created to do everything better than humans. And the fact that they are mediocre at everything except identifying cancer in patients (and a handful of other things) means that they're failing at 99.997% of their goal.
That doesn't mean that it's innovative, or a breakthrough technology that deserves time to mature. It just means that you get more swings at the law of averages if you have a lot of money.