Nope, I'm even worse. I test everything. I don't care about hypetrains no matter in which direction they go.enroe wrote: Thu Feb 19, 2026 7:56 am Of course, you can search the internet for "your opinion" and then list it
here.
I could tell you some facts. But that's like describing shades of blue to a blind person. At best.enroe wrote: Thu Feb 19, 2026 7:56 am But that doesn't change the facts or the future prospects at all.
No theory of mind once again. It's one of the requirements to be an AI fanatic. You know nothing about my views, you just project your own thoughts onto me.enroe wrote: Thu Feb 19, 2026 7:56 am saying "AI could never do that" or "AI is far too limited for genuine
expression," then this has a psychologically soothing and comforting
effect, calming and reconciling your inner child.
It's a concept.
Proto neural networks. To turn them into full neural networks, a complete model of natural neural networks is required (for copying). Which doesn't exist. Researchers are still struggling to understand the functions of neural oscillation or how binding works, for example. Because of this they have no clue how thinking works. They don't even fully understand how eidetic memory works.enroe wrote: Thu Feb 19, 2026 7:56 am AI has a completely different foundation – namely the concept of "neural
networks"
Nope. Just circular reasoning, another requirement for the hypetrain.enroe wrote: Thu Feb 19, 2026 7:56 am This means that AI can learn on its own like a child, only a million times faster, and with a million times more data.
Computer scientists know nothing about neuroscience.enroe wrote: Thu Feb 19, 2026 7:56 am To understand this, you need to know: From a computer science
perspective, the human brain is nothing more than a neural network
Nope. Even if there was a software copy of natural neural networks it would still be virtual. Those neurons don't exist physically. If you want the same physical rules you have to work with cultivated tissue.
That was already the case before the deep learning hype started. A computer program just said "No" and you didn't get your cancer treatment because it was deemed "too experimental" and then you died of cancer. So what exactly changes now with adding deep learning? You pay even more for nothing. I don't see the advantage.enroe wrote: Thu Feb 19, 2026 7:56 am When someone contacts their health insurance company, they will first speak with the AI.
The necessary data, processing power and model finetuning to reach this state isn't available and it will never be. Too expensive.enroe wrote: Thu Feb 19, 2026 7:56 am The successors of SUNO, UDIO, and others will no longer have the initial teething problems. They will play on a completely new level, both musically and in terms of sound.
Stochastic parrots can't compose because they can't think or sense.
You mean like those flying cars we still don't have? And by the way, does your DAW have blockchain?
