Are there more university/research centric resource of communities regarding AI, I mean things on a more epistemic and higher level, that disregards current ML techniques and implementations?
I have no problem when there is a lot of money spent to implement things that can be used and tested, but I wish I could read about the next step of AI, something that involves science and not software engineering.
I've yet to read anything related to the analysis of trained data or trained neural networks, the structure of the brains of small insects, psychology on general intelligence, AI and emotions, the real ability of an AI to think and write meaningful code or understand what is a problem/solution etc, I mean anything that is related to AI that can be treated by computer science.
I have no problems with algorithms and implementations, but don't university/professors also try to go beyond, with epistemology, to connect the dots with biology and neurology?
Unless I see science cover several fields of research, it's not real, worthy research in my view, which is why the reason why I'm so stubbornly skeptical of chatGPT.
We’ve tried but we understand even less about how “real” intelligence works. Atleast in a way that we can replicate it.
The people doing so called alchemy are making far better systems that anyone who’s trying to actually understand things. And we’ve been trying for decades now.
If the engineering part is of secondary importance for you, then at least remember about the dataset. It is in the composition and quality of the training data that all the skills find their origin.
Most of our discussions are about model size, but few about dataset. Yet all the scaling laws hint at the great usefulness of more data. Sometimes even little data can have a great impact in the fine-tuning phase. In the end it is the training data that transforms a random init into the model.
I have no problem when there is a lot of money spent to implement things that can be used and tested, but I wish I could read about the next step of AI, something that involves science and not software engineering.
I've yet to read anything related to the analysis of trained data or trained neural networks, the structure of the brains of small insects, psychology on general intelligence, AI and emotions, the real ability of an AI to think and write meaningful code or understand what is a problem/solution etc, I mean anything that is related to AI that can be treated by computer science.
I have no problems with algorithms and implementations, but don't university/professors also try to go beyond, with epistemology, to connect the dots with biology and neurology?
Unless I see science cover several fields of research, it's not real, worthy research in my view, which is why the reason why I'm so stubbornly skeptical of chatGPT.