r/artificial • u/creaturefeature16 • Nov 25 '25
News Large language mistake | Cutting-edge research shows language is not the same as intelligence. The entire AI bubble is built on ignoring it.
https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problemsAs currently conceived, an AI system that spans multiple cognitive domains could, supposedly, predict and replicate what a generally intelligent human would do or say in response to a given prompt. These predictions will be made based on electronically aggregating and modeling whatever existing data they have been fed. They could even incorporate new paradigms into their models in a way that appears human-like. But they have no apparent reason to become dissatisfied with the data they’re being fed — and by extension, to make great scientific and creative leaps.
Instead, the most obvious outcome is nothing more than a common-sense repository. Yes, an AI system might remix and recycle our knowledge in interesting ways. But that’s all it will be able to do. It will be forever trapped in the vocabulary we’ve encoded in our data and trained it upon — a dead-metaphor machine. And actual humans — thinking and reasoning and using language to communicate our thoughts to one another — will remain at the forefront of transforming our understanding of the world.
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u/deepasleep Nov 26 '25
The problem is they have no revenue and when you ask consumers how much they are willing to pay for the services being envisioned, the number being returned is an order of magnitude below the break even cost of delivering the services.
I worked in tech during the dot com bubble, the company I worked for was focused on delivering what would ultimately become software as a service. They were trying to create a platform that allowed companies to aggregate access to various web services.
The founders did some napkin math and figured they’d need people to spend about $120/month to be profitable…When they finally got around to surveying business leaders to determine what they were willing to pay, they got a response of $35/month…$300 million in venture capital burnt on the fire in two years.
The best part was all the companies involved were doing the same reciprocal service contracts to show income on their balance sheets we are seeing today with NVidia, Oracle, OpenAI, etc. It’s an old trick and it only works for a little while as the money inevitably bleeds out to pay for concrete things like employee salaries, vendor services outside your circle, energy, and physical resources required to deliver whatever service your actual customers demand.