I agree. If LLMs were really super smart, they would be able to perfectly predict what the next big growth stocks will be or even the future in general for that matter.
I'd add at your point of AI is not time sensitive, the cost in processing is pretty high. It is clear energy use of AI is important, but to meet real time processing a great deal of data is unstructured. So the burden of data like that is to formulate for example an image content the words to describe the image. Humans do a lot of back and forth to create intelligible words, and practice the forms so they are true. All this is outside a text database written out. And possibly doubling the energy use if not more to structure the incoming imagery to intelligible text.
![The moment we stopped understanding AI [AlexNet]](http://i.ytimg.com/vi/UZDiGooFs54/mqdefault.jpg)
I'd add nuance to the list. I work in health insurance and there's so many nuances that I have to understand. Great vid!!!
I feel like someone took all my recent experiences and synthesized them into a succinct video. You're spot on across the board! New sub here!
haha thanks!
That was some good insight! Thank you
I agree. If LLMs were really super smart, they would be able to perfectly predict what the next big growth stocks will be or even the future in general for that matter.
I'd add at your point of AI is not time sensitive, the cost in processing is pretty high. It is clear energy use of AI is important, but to meet real time processing a great deal of data is unstructured. So the burden of data like that is to formulate for example an image content the words to describe the image. Humans do a lot of back and forth to create intelligible words, and practice the forms so they are true. All this is outside a text database written out. And possibly doubling the energy use if not more to structure the incoming imagery to intelligible text.