According to the book "A Convergence of Civilizations" from Youssef Courbage and Emmanuel Todd [1], the Iran revolution actually happened at the end of the 70s. And indeed, the political situation is not stable yet. The authors argue in the book that historically, it can take from 30 to more than 100 years before a country gets a stable democracy after a revolution.
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.
The flow of ideas goes both ways between AI and economy. Notably, the economist Friedrich Hayek [1] was a source of inspiration in the development of AI.
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.
> They can get rid of 1/3-2/3s of their labor and make the same amount of money, why wouldn't they.
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.
Yeah but there’s no reason to assume this is even a possibility. SW Companies that are making more money than ever are slashing their workforces. Those garbage Coke and McDonald’s commercials clearly show big industry is trying to normalize bad quality rather than elevate their output. In theory, cheap overseas tweening shops should have allowed the midcentury American cartoon industry to make incredible quality at the same price, but instead, there was a race straight to the bottom. I’d love to have even a shred of hope that the future you describe is possible but I see zero empirical evidence that anyone is even considering it.
> You can use a language server perfectly easily with Vim, Emacs, Helix, Sublime, etc.
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.
Here is an overview of related restrictions in other countries [1]. Actually, in many European countries, Google does not grant access to Gemini for people under 16yo [2,3].
The best implementation I know of digital ID is the one in Estonia. It comes with a data tracker, such that each citizen can see who exactly has been looking at their data [1].
Done more or less like that in Belgium too. Basically, if any civil servant look at your data, this is recorded in the "Banque Carrefour de la Sécurité Sociale". Your eid is used to authentify/authorize you on various state web site (which is OK)
US credit reports also show you who is looking at them. Does visibility really matter when mandatory participation is normalized as a part of functioning in society?
This reminds me of a hoax from the Yes Men [1]. They convinced temporarily the BBC that a company agreed to a compensation package for the victims of a chemical disaster, which resulted in a 4.23 percent decrease of the share price of the company. When it was revealed that it was a hoax, the share price returned to its initial price.
I wonder if it works better if we ask the LLM to produce a script that extract the resulting list, and then we run the script on the two input lists.
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.
> Has this always been an issue in academia, or is this an increasing or new phenomenon?
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.
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...