Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End
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They're throwing billions upon billions into a technology with extremely limited use cases and a novelty, at best. My god, even drones fared better in the long run.
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They're throwing billions upon billions into a technology with extremely limited use cases and a novelty, at best. My god, even drones fared better in the long run.
Nah, generative ai is pretty remarkably useful for software development. I've written dozens of product updates with tools like claudecode and cursorai, dismissing it as a novelty is reductive and straight up incorrect
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Optimizing AI performance by “scaling” is lazy and wasteful.
Reminds me of back in the early 2000s when someone would say don’t worry about performance, GHz will always go up.
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Its not a dead end if you replace all big name search engines with this. Then slowly replace real results with your own. Then it accomplishes something.
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Nah, generative ai is pretty remarkably useful for software development. I've written dozens of product updates with tools like claudecode and cursorai, dismissing it as a novelty is reductive and straight up incorrect
I weep for your customers
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Imo our current version of ai are too generalized, we add so much information into the ai to make them good at everything it all mixes together into a single grey halucinating slop that the ai ends up being good at nothing.
We need to find ways to specialize ai and give said ai a more consistent and concrete personality to move forward.
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Optimizing AI performance by “scaling” is lazy and wasteful.
Reminds me of back in the early 2000s when someone would say don’t worry about performance, GHz will always go up.
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I liked generative AI more when it was just a funny novelty and not being advertised to everyone under the false pretenses of being smart and useful. Its architecture is incompatible with actual intelligence, and anyone who thinks otherwise is just fooling themselves. (It does make an alright autocomplete though).
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Imo our current version of ai are too generalized, we add so much information into the ai to make them good at everything it all mixes together into a single grey halucinating slop that the ai ends up being good at nothing.
We need to find ways to specialize ai and give said ai a more consistent and concrete personality to move forward.
Imo to make an ai that is truly good at everything we need to have multiple ai all designed to do something different all working together (like the human brain works) instead of making every single ai a personality-less sludge of jack of all trades master of none
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I weep for your customers
They're all pretty fired up at the update velocity tbh
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Take a car that's stuck in reverse, slap a 454 Chevy big block in it. You'll have a car that still drives the wrong way; but faster.
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Nah, generative ai is pretty remarkably useful for software development. I've written dozens of product updates with tools like claudecode and cursorai, dismissing it as a novelty is reductive and straight up incorrect
As someone starting a small business, it has helped tremendously. I use a lot of image generation.
If that didn’t exist, I’d either has to use crappy looking clip art or pay a designer which I literally can’t afford.
Now my projects actually look good. It makes my first projects look like a highschooler did them last minute.
There are many other uses, but I rely on it daily. My business can exist without it, but the quality of my product is significantly better and the cost to create it is much lower.
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Imo to make an ai that is truly good at everything we need to have multiple ai all designed to do something different all working together (like the human brain works) instead of making every single ai a personality-less sludge of jack of all trades master of none
Mixture of experts is the future of AI. Breakthroughs won't come from bigger models, it'll come from better coordinated conversations between models.
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I liked generative AI more when it was just a funny novelty and not being advertised to everyone under the false pretenses of being smart and useful. Its architecture is incompatible with actual intelligence, and anyone who thinks otherwise is just fooling themselves. (It does make an alright autocomplete though).
The peak of AI for me was generating images Muppet versions of the Breaking Bad cast; it's been downhill since.
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They're throwing billions upon billions into a technology with extremely limited use cases and a novelty, at best. My god, even drones fared better in the long run.
I mean it's pretty clear they're desperate to cut human workers out of the picture so they don't have to pay employees that need things like emotional support, food, and sleep.
They want a workslave that never demands better conditions, that's it. That's the play. Period.
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They're all pretty fired up at the update velocity tbh
Yeah, nothing pleases us more than constant, buggy updates.
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Yeah, nothing pleases us more than constant, buggy updates.
Don't be an ass and realize that ai is a great tool for a lot of people. Why is that so hard to comprehend?
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Worst case scenario, I don't think money spent on supercomputers is the worst way to spend money.
That in itself has brought chip design and development forward.
Not to mention ai is already invaluable with a lot of science research. Invaluable! -
Optimizing AI performance by “scaling” is lazy and wasteful.
Reminds me of back in the early 2000s when someone would say don’t worry about performance, GHz will always go up.
Thing is, same as with GHz, you have to do it as much as you can until the gains get too small. You do that, then you move on to the next optimization. Like ai has and is now optimizing test time compute, token quality, and other areas.
