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as a student, it is not a weird but interesting time to be in this space. while the hype is like web3 from a year or two ago, the "advancements" are confusing when you look deeper.

while i have a lot to learn, i am struggling to find real innovations being made in all the fancy models today. i feel that the major component of the recent developments is that we now have more money and hardware to throw into the problem. there are some clever methods employed for gpt and image GANs, but the core part is still the same decades-old theory we can finally achieve at larger scale than ever.

i'd like to be enlightened about what i am not understanding here, but it has only made it more important to start from the fundamentals.



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