This paper clearly shows why you shouldn't use MS Word to typeset research.

• gwerbin

  today at 6:34 PM

  MS Word can be a surprisingly good and powerful type setting system if you use its fancier features correctly, like named styles. I used to have a Latex resume and switched to LibreOffice several years ago. It gives me more than enough precise control over layout and styling, with less effort, and it still generates good PDFs.

• rabbitlord

  today at 4:45 PM

  TBH, if a paper is not written by Latex, I naturally question the research and learning ability of the authors, and I don't want to read it.

  • teekert

    today at 4:55 PM

    So I guess you ignore all of biology and just focus on math and physics ;)

    • today at 5:05 PM

This completely breaks down under the current reality of AI investment, as players large and small are no longer price-takers. The marginal costs of investment are not constant because we have finite supplies of GPUs, TPUs, memory, hard drives, and power. The Hamiltonian in equations 5 and 6 needs to account for this.

• metalliqaz

  today at 3:28 PM

  are you saying that previous technologies had effectively infinite supply?

  • jmalicki

    today at 3:50 PM

    It's not that supply was actually infinite, but you didn't realistically have situations where you said "I want to buy GPUs for a data center" only to be told "there's a 3 year waiting list."

    You might have two months after NVidia 3090s came out where they were short, but it is nothing like today.

  • ok123456

    today at 3:45 PM

    No. I'm stating where the paper's assumptions are clearly violated.

    AI companies are intentionally trying to monopolize the supply of inputs needed for R&D. This violates homogeneity of degree 1.

  • today at 5:06 PM

If you are one of those that are amused by attempts to synthesize paradigms, here's one that superposes J-curve on the hype curve

https://www.financialprofessionals.org/training-resources/re...

Q: The J-dip is where capital stock is just about to overtake investment growth, why should it lag the hype trough where presumably value overtakes interest ?

FYI about terminology before people who don't read the paper comment

1. GPT means general purpose technology or any sort of new technology that has a compounding effect on productivity, not the OpenAI model.

2. Productivity in this case means economic output, not the colloquial definition that means "hard work". If it takes 5 automotive factory workers to assemble a car manually but 2 with industrial automation, then the latter are more productive than the former despite expending equal amounts of effort.

3. The crux of this paper is that existing economic metrics are not able to adequately measure the impact of IP and R&D driven innovations in the larger economy. For example, think about how it took 20-30 years for traditional econometrics to fully gauge the impact of digitization and industrial automation that began in earnest in the 1990s and early 2000s.

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