Remember I said: https://t.co/STt9qNO69O, it's happening: https://t.co/tYTL6m4Uyw, sure they are polite about it, but the reason is that nobody wants to review AI slop.
Have you tried asking AI to generate nonsense garbage text? It still follows some rules, right? How far can you go in decompositing the structure and creating chaos? LLM is a probability machine, what if you inverse probability?
If LLMs really made workers more productive in a general way, as is claimed, and this had been going on for a couple of years, as is claimed, wouldn’t we expect to see a boost to the economy and an uptick in consumer sentiment, rather than like, historic lows?
I'd love to see a good programmable watch. I wouldn't recommend one based on the ESP32, as it's too power-hungry (it's a 40nm chip, far from what industry standards are capable of in terms of energy efficiency).
It can be words to words, words to images, images to short clips, words to short clips, words to programs, words to data, data to data, etc. But there is no invention. There were 0 abstractions AI introduced to the world of knowledge. Key problem.
Why current gen LLMs won't be as impactful as people might think in software development? You see, software development is about two things: managing complexity and coding programs that do the job. You need both. I've seen AI tools being able to code programs that do the job ...
AI can learn abstractions and transform input to output using these abstractions, but there is no evidence it can create new abstractions. And that is an essence of the problem. The AI models we have at the moment are not inventors, they are transformers ...