In a demonstration capacity autonomous vehicles were mindblowing. In the real world the novelty wears off quick, and what remains is a bit of a disappointment.
Of course, the demos helped churn up many bajillions of dollars in investment money, and many companies with long runways continue to tinker away at the problem. Level 4 AVs are dramatically better than a decade ago, and yet still totally shitty relative to real to real drivers.
What has become apparent is that these companies and their investors are not at all interested in solving any real transportation problems.
They are interested in getting between you and things you want to do, so they can set up a gate and charge you money to pass through it.
This has been my frustration. If I don't bring my own domain knowledge, carefully review, and provide follow up prompts I get garbage output. Novices don't have great domain knowledge and likely overestimate the quality of the output. It's not worth the effort.
It's helpful to know what chatgpt can't handle: math, visual, spacial, safety. It's pretty limited.
So no, not in an bigger, more universal sense, would I agree that "the AI Boom is over". If anything, it's just starting.
We've been waiting for some real "intelligence" from AI for decades now.
Creating word salad from ingredients found on the internet isn't it.
Anyway, ML has some uses and the latest round will too but most of the hype will be unrealized, as it has been with computer vision, deep learning, etc.
This is how we experience the slope of technical change over a period of months: ___
This is closer to the slope of technical change over that time period:
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