klankin

Like the “hasnt left the lab in 75 years” thorium reactors (Which current designs still need enriched uranium)? and the recycle reactors that produce weapons grade plutonium (Of course, also via enriched uranium)? Id love to see you

No I dont mean those, I mean the CANDU’s, a viable system that has been operating for around the same amount of time thorium has been in development hell (again, 75 years).

Are you trying to say america has never had a nuclear disaster on record? Cause its pretty easy to google that US has had more nuclear accidents in the 2000’s than canada has in the past century. The Three Mile Island meltdown was probably the worst nuclear accident in north america, its hardly reasonable to ignore it. Unless you count uranium mining accidents, cause then the Church Rock uranium mill takes the crown.

And which country has ~2000 nuclear reactors? I must have missed this in my research, with those numbers they account for approximately 4x the total number of reactors in the world, a surprising oversight. (Or are you doing some football math that 94/19 = 100x? Cause even if 94/19=5x then per capita america is still lacking)

And developed a reactor that doesnt need enriched uranium, removing the risk of weapons development.

And have been one of the few countries to deploy reactors under budget and on time.

Not all of north america.

Canada is a world leader in nuclear and number 3 for hydro for example.

Physics is a mathematical model with the most proven utility to humans.

If you have a model more applicable to a situation, youre free to use it, but its pretty unlikely to be as broadly applicable as modern mathematical physics (A thousand times so when considering computers).

But yeah the study of physics is 100% math (And its not 100% a perfect model of reality! Thats why we study it).

A/B testing, dont worry you’ll get it son enough.

We dont yet have proof AI can “imagine” new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.

This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.

Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can’t readily be created by a computer.