AI, at its current form, is a Deep Seek of compressed knowledge in a 30-50gb of interconnected data. I think we’ll look at this as trying to train networks on corpus of data and expecting them to have a hold of reality. Our brains are trained on “reality” which is not the “real” reality as your vision is limited to the visible spectrum. But if you want a network to behave like a human then maybe give him what a human see.
There is also the possibility that there is a physical limit to intelligence. I don’t see any elephants doing PhDs and the smartest of humans are just a small configuration away from insanity.
On a subset of tasks I'm interested in, it's 10x more intelligent than GPT-4. (Note that GPT-4 was in many ways better than 4o.)
It's not a coding champion, but it knows A LOT of stuff, excellent common sense, top quality writing. For me it's like "deep research lite".
I found OpenAI Deep research excellent, but GPT-4.5 might in many cases beat it.
Very intriguing. Care to share an example?