> I was talking about humans vs. cars as an analogy to you comparing GPUs and cars.

I was talking about cars vs horses. HP is Horse-power not human-power.

> Nobody is taxing humans the way cars are taxed

Cars are not free to roam the road. I don't know why it is so hard for you to understand that we use metrics like HP/CC etc to equalize with humans so that automobiles can be taxed just like humans. Without metrics like HP/CC etc there is no way to tax cars. Get it?

> Nobody is taxing humans the way cars are taxed

Duh. It is the opposite. We use deterministic metrics for automobiles to tax them the way WE ALREADY HAVE BEEN TAXING HUMANS for thousands of years. Get it? Cars did not come first. Humans came first.

> so why should the computing speed of a GPU be compared to that of a human?

Because, believe it or not, we built computers to replace humans. The very point of computing was because humans are "SLOW" to do mundane computations, repeatedly, with 100% efficiency and not be subjected to biological functions like wanting to eat, sleep or shit. So there is a direct connection between the computing speed and human replacement. There used to be a time where CPU computing speed was touted in terms of how many humans it replaced... IBM's 1951 Electronic Calculator ad about "150 extra engineers" makes the point. We have ALWAYS built computing as a proxy to human replacement. Heck, even AI is touted to replace humans by the very same people who are training the models.

Now it is quite ridiculous to then turn around and ask why should computing speed of a GPU be compared to that of a human. It is literally the building block of model training/evals/inference. The very basis for automation that is replacing humans. Obviously people are going to relate the two together.

> And you do not think that comparing weights to measure bridge load makes a lot more sense than comparing FLOPS to determine learning of GPUs vs humans?

Come on you are clutching at straws here. It is not about "making sense". It is about using a metric to equalize unequal entities. When I am already saying they are unequal and have no direct relation to each other and any relation can only be arrived at indirectly. FLOPS is just an example I gave. I am not saying we should literally go with the FLOPS example itself. But we can use any metric and equalize it with human work. That's all I am getting it. It is the same argument as Horse-power.

Also comparing weights to measure bridge load is the exact same thing. Do you question how a human being gained enough weight to become 100 kgs? Do you question how a truck that has a dead weight of 0.5 ton became 1 ton? No you do not. You do not care about the process of how some entity gained the weight it did. You only care about what can be measured at that instant of time and how much of that passes through the bridge. It doesn't matter if the weight is gained by consuming calories or by loading boxes if the end goal is use of a bridge. Same way, it doesn't matter how the GPU learns something vs how human learns something if the end goal is knowledge generation.

> So you want to compare the learning rate of a GPU to that of a human by comparing their respective FLOPS. Why would FLOPS be a valid proxy for learning ability in humans just because that works out in GPUs,

Because that is the only metric we can use to measure how quickly GPUs can process arithmetic (you can label it "training" or "learning" or whatever name you want). There is no other metric that is deterministic and comparable to something humans do (which is also process arithmetic).

> if the way they learn is fundamentally different?

It does not matter if how they learn is fundamentally different. Automobiles use an engine to move around. Humans use legs. We both are still taxed. Automobiles are taxed on metrics like HP/CC etc. Humans are taxed via betterment taxes while purchasing property and yearly property tax. The point I am making is that it is not free to ride an automobile on the roads which are built for pedestrians fundamentally. Hence why "right of way" is for pedestrians first and foremost. Because roads existed before automobiles or any animal-drawn cart ever existed. We figured out a way to tax automobiles by way of metrics that is deterministic and quantifiable. You may ask why should cars be taxed on HP/CC while humans are not taxed on their legs etc. That is totally missing the point being made.

> Is the effect of someone reading a copyrighted book dependent on how fast they are at doing math in their head?

It is fundamentally math. Every physical law in the Universe is expressed and backed by math. So on a fundamental level, yes "reading" is essentially maths only. I hope you agree that reading/comprehension is essentially maths at play. How your brain computes (see how this word is valid in this context?), stores and evaluates incoming knowledge is all mathematical in nature. On a fundamental level it is the same thing with GPUs as well. It is just maths. GPUs are great at extreme parallelized computation while human brains are serial and slow at computation. So both can be compared and taxed accordingly.

How much to tax you ask? Each GPU has capability to do the same task 3.56 quadrillion people would do on a mathematical level. It is absolutely fair to ask AI companies to fund the survival of the entire human race (which is 8 billion+ people and far, far less than 3.56 quadrillion) which it seeks to replace with robots and automation. That is the perfect amount of tax they can pay. And funnily enough, irrespective of whether I ask for it or not, they will have to come up with some form of UBI if they themselves have to sustain and pay their shareholders. Because a jobless World will not be able to use their products anyways.

Microsoft exec called AI scraping 'the largest theft of labor in human history'