Neural Nets have existed for decades and are genuinely useful. It's a form of AI that recognizes patterns, and can do stuff like identify cancer cells, tell whether an egg is fertilized or not, detect fraud, and optimize routes.
Those are Expert Systems, tuned to do exactly one thing. If you (say) ask a medical expert system a question about financial law, it's useless. The autopilot that flies a 787 has no idea how to drive a truck on the freeway. A Coulter Counter is excellent at identifying lymphocytes in a blood sample but can't predict the next card in a blackjack game.
The problem with so-called generalized AI (AGI) is that we don't have that yet. It doesn't exist. It MIGHT some day, but AGI has been "10 years away" since the 1980s. The goals keep moving as we learn more about how people and machines process data.
But the current crop of AI techbros have been selling generative Large Language Model AI (LLM) as AGI because generative systems do a good job of faking it. There's no actual thought going on, merely the illusion of thought via predicting the next word in a sentence accurately.
If you let a human toddler listen to 800 hours of YouTube car influencer videos, that toddler might end up sounding like a car influencer. They'd parrot horsepower numbers and 0 to 60 times, mention EV range and MSRP numbers.
But they wouldn't understand any of it.
And yeah, it's worse than useless because it doesn't even know when it's lying or hallucinating. It just babbles convincingly until you stop it.
But for techbros to make money selling that as "AI"? It's the perfect scam, especially if you don't understand how it works.
jacobvanloon
