Just as a good for thought, looking back into history, during the late 1920s, mass production had a critical impact on Art Deco [1]. Artists were divided on the question if mass-produced art (using new industrial methods) could have a quality similar to hand-crafted art. It is clear that different people will have different opinion on the subject.

The technology is not there yet, but one example of mass production from AI would be book adaptation into movies. I'm sure that there are many other examples hard to predict that might: empower people, degrade art quality, improve art quality, divide people or maybe gather people.

[1]: https://en.wikipedia.org/wiki/Art_Deco#Late_Art_Deco

[1]: https://radfoam.github.io/

Notably, the book was written before the Arab Spring revolutions, and yet, it predicted them rather accurately. The main thesis of the book is that a revolution arises when most of the men and most of the women in a country can read.

[1]: https://cup.columbia.edu/book/a-convergence-of-civilizations...

He wrote in 1945 on the idea that the price mechanism serves to share and synchronise local and personal knowledge [2]. In 1952, he described the brain as a self-ordering classification system based on a network of connections [3]. This last work was cited as a source of inspiration by Frank Rosenblatt in his 1958 paper on the perceptron [4], one of the pioneering studies in machine learning.

[1]: https://en.wikipedia.org/wiki/Friedrich_Hayek

[2]: https://en.wikipedia.org/wiki/The_Use_of_Knowledge_in_Societ...

[3]: https://archive.org/details/sensoryorderinqu00haye

[2]: https://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pd...

Competition may encourage companies to keep their labor. For example, in the video game industry, if the competitors of a company start shipping their games to all consoles at once, the company might want to do the same. Or if independent studios start shipping triple A games, a big studio may want to keep their labor to create quintuple A games.

On the other hand, even in an optimistic scenario where labor is still required, the skills required for the jobs might change. And since the AI tools are not mature yet, it is difficult to know which new skills will be useful in ten years from now, and it is even more difficult to start training for those new skills now.

With the help of AI tools, what would a quintuple A game look like? Maybe once we see some companies shipping quintuple A games that have commercial success, we might have some ideas on what new skills could be useful in the video game industry for example.

By the way, the language server protocol was originally developed for VSCode [1]. The popularity of LSP in other editors might have contributed to advertise VSCode.

[1]: https://en.wikipedia.org/wiki/Language_Server_Protocol

[1] https://www.bbc.co.uk/newsround/articles/clyd1dvrll1o

[2] https://support.google.com/accounts/answer/1350409

[3] https://support.google.com/gemini/answer/16109150

[1]: https://e-estonia.com/digital-id-protecting-against-surveill...

[1]: https://web.archive.org/web/20110305151306/http://articles.c...

There is also the question of the two input lists: it's not clear if it is better to ask the LLM to extract the two input lists directly, or again to ask the LLM to write a script that extract the two input lists from the raw text data.

That's a very interesting question. When comparing wildly different computing machines, how to make a fair comparison?

At least two criteria comes in mind: the volume and the energy consumption.

Indeed we can safely assume that more volume and more energy leads to more computation power. For example, it is not fair to compare a 10m^3 room filled with computers with 10cm^3 computer. The same goes with the number of kilowhat-hours used.

Thinking further on those two criteria for GPUs and humans, we could also consider the access to energy and volume. First, energy access for machines has dramatically increased since the industrial revolution. Second, volume access for machines has also increased since the beginning of the mass production. In particular, creating one cube meter of new GPUs is faster than giving birth to a new human.

tldr: fair comparison of two machines should take into account their volume and their energy consumption. On the other hand, this might be mitigated by how fast a machine can increase its volume, and what is its bandwidth for energy consumption.

The introduction of this article [1] gives an insight on the metric used in the Middle Ages. Essentially, to keep his position in a university, a researcher could win public debates by solving problems nobody else could solve. This led researchers to keep their work secret. Some researchers even got angry about having their work published, even with proper credit.

[1]: https://www.jstor.org/stable/27956338

[1]: https://en.wikipedia.org/wiki/Linux_for_PlayStation_2

[2]: https://en.wikipedia.org/wiki/Homebrew_(video_games)

Fortunately, almost twenty years before the Population Bomb book, others such as Alfred Sauvy were already warning against confident overpopulation arguments. They suggested more reasonable arguments such as examining countries on a case-by-case basis [1].

[1] https://en.wikipedia.org/wiki/Alfred_Sauvy#Key_ideas

Wikipedia has pages on antitrust cases against Google in the world [0] and specifically in U.S. [1,2] and in European Union [3].

[0]: https://en.wikipedia.org/wiki/Criticism_of_Google#Antitrust

[1]: https://en.wikipedia.org/wiki/United_States_v._Google_LLC_(2...

[2]: https://en.wikipedia.org/wiki/United_States_v._Google_LLC_(2...

[3]: https://en.wikipedia.org/wiki/Antitrust_cases_against_Google...

[1]: https://en.wikipedia.org/wiki/Spinoza%27s_Ethics

[1]: https://www.bmtdynamics.org/cgi-bin/display.pl?name=rdaic

[2]: https://books.google.fr/books?id=2zDUCQAAQBAJ

[3]: https://en.wikipedia.org/wiki/Taylor%27s_theorem#Taylor's_th...

[0]: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct