AI advocates are _way_ too confident about the nature human cognition. Questions that have been debated by philosophers and cognitive scientists for decades are now "obvious" according to you people, though you never provide any argument to support your statements.
We are much more limited, but we fundamentally work differently. Hence adding more parameter like certain companies are doing isn't necessarily going to help. We need to rethink how LLM work, or how it work in tandem with something that's completely different.
I think it's doable, I just don't believe it's LLM, and I don't think anyone now knows what it is.
But we are? That's our education system.
The only reason school doesn't try to shove more information in our brains is because we hit bandwidth limits.
That is not what the education system does. That's an obvious distortion of reality. People train over billions of documents to statistically predict the next word to gain and understanding of language. LLMs do this statistical processing in order to mimic humans natural language learning ability. And there has been continued evidence of the limitations of this approach to accurately mimic the totality of human cognition.
Do you have any idea how many calculations it takes for a human to put a ball through a hoop while running across a court?
It could be millions or billions in a second. Manifesting consciousness, coordinating body movements, and everything else all at the same time takes calculations.
You may not be aware that your brain is doing multiplication, or any other kinds of math, constantly, but it is.
The human condition is nothing but a massive amount of calculations under the hood. You don't feel it, or understand it, but it's there. Everything in nature is math, every physical phenomena has a cause and effect rooted in mathematics, and it's no surprise that humans are great at subconsciously calculating myriad things on-the-fly, as life is happening around us.
So are humans.
Machines have surpassed humans by magnitudes in many capabilities already (how many billion multiplications can you do per second?)
And I argue that current LLMs have surpassed many of my capabilities already.
For example GPT/Opus can understand and document some ancient legacy project I never saw before in minutes. I would take a week+ to do the same and my report would probably have more mistakes and oversights than the one generated by the LLM.