Preserving the topology of mesh intersections while rounding the coordinates is a hard problem. In particular, it is only in 2020 that an algorithm was found that handles all the cases [1]. In practice, an efficient algorithm for that was published last year [2].

[1]: https://doi.org/10.1007/s00454-020-00202-2 https://hal.science/hal-02549290/file/DCG.pdf

[2]: https://doi.org/10.1111/cgf.70197 https://hal.science/hal-05242294/file/Snap-SGP-revised.pdf

[1]: https://doc.cgal.org/latest/Manual/license.html

In particular, until now, mathematics were one of the rare sciences were great scientists could emerge from any country with a good education system.

With the raise of strong AI tools, only scientists in rich countries with access to those tools might be able to advance faster on the most difficult problems like the millennium problems.

Mathematics might become like experimental sciences were you need to build expensive machines to make further progress, such as nuclear fusion.

Actually, even now, the strongest models in mathematics are only available to a few engineers and a few mathematicians selected by Openai and Google.

[1]: https://www.bbc.com/news/technology-64939558

You might like this article [1], titled "FPGA-based CNN Acceleration using Pattern-Aware Pruning". More context and details can be found in the PhD thesis of Léo Pradels [2].

[1]: https://inria.hal.science/hal-04689673/document

[2]: https://theses.hal.science/tel-05021575v1/file/PRADELS_Leo.p...

Fair enough! Indeed that would be a true issue only if the company had a monopoly.

Actually, in Europe, Gemini is officially not available for kids even at home [1]. In some countries like Germany, the restriction applies until 16 [2]. I find unsettling that even for supervised account, parents are forbidden to let their kids learn how to use Gemini, even between 14 and 16 yo.

Note that this restriction does not seem to appear from other AI company. So from outside, it looks like unsolicited interference from Google in the parental education choices.

[1]: https://support.google.com/families/answer/16109150?hl=en#av...

[2]: https://support.google.com/accounts/answer/1350409?sjid=7871...

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...