I’ve never actually tried gaming on Linux for ARM, but there do seem to be some games:

https://www.pcgamingwiki.com/wiki/List_of_Linux_ARM_games

But this list doesn’t seem to be complete as it doesn’t include Doom3.

Touche! Nice one!

Not sure what you are refering to.

According to The Mercury News, Jinfeng Luo, who started at Intel in 2014, received a termination notice last July 7th, ending his service with the company at the same month.

There can be reverse situations (e.g. opportunistic individual delivering hard earned data from an honest company to American criminal groups) so its not black and white.

That being said “reap what you sow” can be a fair and just characterisation.

Someone downloading full datasets that would rarely happen in the regular course of work (unless there was special projec tor some sort).

Cuba may not have an extradition treaty with the US, but I somehow doubt you can just arrive there, as a relatively well known person of interest and stay there without giving the local thugs a cut.

I would speculate he is working with the CCP.

This is for fabless companies only. So this wouldn’t include Samsung since they both fabricate NAND and sell consumer SSDs.

That’s why Crucial is not on the list; they are owned by Micron which fabs NAND.

I will admit, this is not really clear at all. I am assuming “own brand” refers to this.

Getting different perspectives from different circles instead of being migrated to one dominant website culture is a big part of why I haven’t moved to piefed, since it seems like that semi-forced centralization is part of their vision.

Have you used Piefed and its multi-community comment system? I am asking because from using it, I don’t the impression of “being migrated to one dominant website culture”.

Looks like some pretty solid improvements (I use piefed on a different account).

Looking forward to checking out the image upload functionality and the UI/UX improvements.

Post urls are now “friendly” since they include the community name and a snippet of the title instead of just a number

It’s good that the old style links aren’t broken.

Funny how an America venture capitalist wants everyone else to subsidize his “venture”.

This one of the great features of Piefed!

We are less than 10 years away from the final fab node

Beyond fab nodes, there are things like advanced packaging approaches, BPD.

New nodes will probably start to offer more modest gains (while costs will start growing beyond the current 20-30% increase per node), but that doesn’t mean there won’t be improvements in leading edge semi-conductor performance.

That’s fair, but are you sure the top line number cited in the article reflects your definition? Maybe it does, I don’t know.

I am also sceptical of the the inclusion of philosophers and neuro scientists in your list of fields. I would speculate employment of such specialists represents an infinitely tiny portion of total employment in AI/ML industry (however you define that).

I am happy to be proven wrong. The topic of employment dynamics in AI/ML is not an area I am familiar with

There are so many opportunities for productivity improvements in healthcare, manufacturing, farming, chemicals, etc.

That’s definitely true. There is a lot of potential here. That being said, like with all tech, it’s about the people that apply it.

The more AI-trained specialists you got, the more of those you can attempt.

Not sure I believe this is true in all cases. It is not too unreasonable that there is a decrease in marginal returns on “AI-trained specialists” as the number goes up.

And it is likely that a large number of said “AI-trained specialists” are probably looking to cash in while this option is available.

I am a regular user of a variety of AI/ML tech (not only LLMs, although I do use them a lot in a relatively cautious manner), so I am not really an “AI skeptic”.

I am skeptic of the individuals involved in the AI/ML industry because I know what money can do to people. Not to mention claims/polemics about “millions of AI specialists working diligently to improve the world” have an almost Lenin/Mao-style feel to it.

Some people in this industry might have a measure of idealism, but they are likely a small minority. Most are probably just conformists and just doing whatever, but also not necessarily opposed to criminality or idealism depending on how it is marketed. A not inconsequential portion are committed criminals and will pivot to the “next big thing” that becomes popular for “white collar” criminal groups.

I have a little bit of exposure to the points I am bringing up, so I may be generalizing, but it’s not like I am just making stuff up.

Out of the total population of “AI researchers” (as cited in the article), what percentage of them are engaged in research?

Or do we assume every single technical (we’ll exclude sales and market) person involved in AI/ML industries is a researcher?

A dense layer of red tape covers this AI race, which is informing semiconductor trade policy at the moment. Meanwhile, Huang has even claimed that China is aggressively tailing the U.S. in artificial intelligence — if not already ahead — and that most of the popular open-source models in the world today are from China. The region also produces some 50% of all AI researchers globally, implying the competition is stiff.

What exactly is an “AI researcher”?

Good to hear! It’s an excellent image template!

Classic! Is this image already a template for memes?

Is there a reason for using a ball-based mouse? Or are you focused on retro aesthetics (which is fine)?

There goes my plan for building a new AM5/Zen 6 based desktop next year.