@mathemetica I’d argue this is flipped. The core should not be Euclidean, but rather the abstract topological space.
The Euclidean space is what our minds can understand most intuitively, but that doesn’t mean it should be placed at the core.
@pensandpoison As one of these kids, I can say that dream is not our own.
There are tremendous social pressures to sacrifice any sense of individuality for the security of the progeny.
The culture produces spectacular workers, but poor character
Patriarchy wasn't invented. It was EARNED.
Men didn't sit in a circle one day and say "how do we oppress women?"
They were too busy trying not to let their entire bloodline get WIPED OUT by animals or invaders or bad weather.
Before feminism. Before 9-5s. Before police. Before DoorDash. There was nature, and nature is TRYING TO KILL YOU.
Someone has to kill the bear, the wolves before it kills your baby.
Something has to fight the rival tribe that wants to rape your wife and behead your sons and steal your land.
Something has to lift the boulders, chop the trees, climb the trees, build the wall, dig the trench, stand watch at 3AM in -20 degrees while his family sleeps.
Who? Tell me who does that? Women?
MEN DID IT. Because only men COULD do it.
Patriarchy is not a conspiracy. It is biology meeting survival. Men took the role of the expendable sex because someone HAD to be expendable.
And expendable they were.
The deal was simple and brutal: Women are protected and cherished inside. Men are sacrificed outside.
Women got safety. Men got the grave.
That system built every civilization on earth. Every house you live in, every road you drive on, every freedom you have was paid for by male corpses you will never know the names of.
So when you say "patriarchy oppresses women," what you really mean is "I'm ungrateful that men died so I could live long enough to hate them. If they had given you rights and freedom 400 yeats ago, humanity would have gone extinct.
Money is nothing but a decentralized technology for coordination. AI will become a better technology for coordination. That is why money will go extinct in the singularity.
Quantum physics is crazy because what do
you mean every possible outcome of every choice you make actually happens it just splits into a parallel timeline. and the one you end up in is the one you already EXPECT to land in which means if you want to quantum leap, you don't force an outcome. you change what you expect. that is the game of life.
Oxford researchers argue that LLMs can never invent anything.
It is mathematically impossible.
They published a paper called “Theory Is All You Need" and it argues against the claim that computational models can generate genuine novelty or new knowledge.
They analyzed the limits of generative ai, and the results are a brutal reality check for the idea that ai will replace human decision making under uncertainty.
Here is why AI is stuck and human cognition wins:
backward-looking vs forward-looking.. llms are probability machines that look backward at existing data. human cognition is forward-looking and capable of generating genuine novelty. human cognition operates theoretically "top-down" rather than "bottom-up" from data.
the "data-belief asymmetry".. the researchers use the invention of "heavier-than-air flight" to illustrate this concept. an ai relies on data-based prediction, which is largely imitative. humans, however, use theory-based causal logic that allows them to hold beliefs that go beyond existing data.
the intervention gap.. humans don't just process information; we use theory to practically "intervene" in the world. we engage in directed experimentation to generate entirely new data. ai-based models are theory-free and place primacy on existing data and prediction.
tldr?
AI uses a probability-based approach to knowledge and ia largely imitative. It can process data and make predictions, but human cognition relies on theory-based causal reasoning.
The decades-old analogy comparing human minds and computers to mere "input-output" devices is fundamentally flawed.
I think we’re going to use superintelligence to get as good at improving alignment as it got as good at coding and recently math.
A deep game theory/philosophy expert that’s 5x better at alignment research than the best human alignment researchers can make AI way safer than humans are within perhaps a year and a half or less from now.
Maybe?