You might be interested in a new experimental 3D scene learning and rendering approach called Radiant foam [1], which is supposed to be better suited for GPUs that don't have hardware ray tracing acceleration.
Cool! I'll definitely check it out. The great thing about LLMs is I can probably have a trainer and renderer using this technology up and running for my platform in a day or two, OR I can just pick and choose parts that would work well for my implementation and merge them in.
In this regard, the subreddit r/NeutralPolitics is interesting: it aims at evidence-based discussions on political issues. Threads are somehow in-between HN and Wikipedia. It is definitely interesting to read, and at the same time, participating in a discussion is quite daunting.
Had a browse around and these look good, although very US focused (standard for Reddit though).
However, on every thread I checked, about 70% of comments are deleted. That means that the noise is still there, but the mods are having to work nonstop to fight it and no doubt introducing their own bias as they do so.
I wish them luck and I'll keep checking these places out but I can't help but feel that by the time you're deleting 70% of all comments (and who knows what percentage of threads), you're fighting a losing battle.
You won’t find much quality in lay discussion boards, but magazines like The Economist and Foreign Affairs are worth a subscription. I’ve cut back my internet time and incorporated these into my routine, would strongly recommend if you want actual knowledgeable opinions on world affairs.
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.
[1]: https://radfoam.github.io/
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