Earlier quoted context omitted.
The problem is, human intelligence is likely also based on a similar advanced chat bot setup. While GPT-4 only performs as good as top-10th percentile of human students taking an exam (a professional in the field can do much more than this), it is notable that as a generalist GPT-4 would outperform such professionals. And GPT-4 is much faster than a human. And we have not yet evaluated GPT-4 working in its optimal se…
Alas, if it could only remember and precisely relate more than 4k or 8k or 32k or 64k words... And if only scaling that context length weren't quadratic... Indeed, we would really expect an AI to be able to achieve AGI. And it might decide to do all kinds of alien things. The sky would not be the limit! We have more than 100 trillion synapses in our brains. That's not our "parameter" count. It's the size of the thing…
There are transformers approximations that are not quadratic (available out of the box since more than a year) :
Two schools of thoughts here :
- People that approximate the neighbor search with something like "Reformer" and O(L log(L) ) time and memory complexity.
- People that use a low-rank approximation of the attention product with something like "Linformer" with O(L) complexity but with more sensibility to transformer rank collapse