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Another way to compete with the big tech incumbents is instead of hardware, try maths and software hacks to level the playing field! Training models is still black magic, so making it faster on the software side can solve the capital cost issue somewhat!



This kind of research is also incredibly capital intensive. You have to pay some of the smartest people around to work in it.


That's labour and human capital intensive, not capital intensive. And I don't mean this as a technically correct nitpick: in terms of economics it's more accurate to call it the exact opposite of capital intensive.


That’s a good point, I wanted to make the point that doing the research is also incredibly expensive because it requires some of the smartest people around, and the right background (and what even is that background?)


Ye not a bad point - also agree with djhn on stuff.

It's true it'll still be relatively expensive - but I would propose its relatively inexpensive if people want to make it faster, and have the drive to do it :) On the other hand, capital expenditures requires large amounts of money, which also works.

I guess some general CUDA, some maths, knowing how to code transformers from scratch, some Operating systems and hardware knowledge, and the constant drive to read new research papers + wanting to make things better.

I just think as humans, if you have drive, we can do it no matter the contraints!


Yes, I agree with the general idea that it's not easy. Yet at least to some extent it might allow people and/or nations with (some degree of, relative) lack of capital but high levels of education and innovation to benefit and catch up.




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