This is you https://youtu.be/mkcKQmr7kRc

I admire your positivity. I do not share it though, because from what I have seen, because even if there are open weights, the one with the biggest datacenter will in the future hold the most intelligent and performance model. Very similar to how even if storage space is very cheap today, large companies are holding all the data anyway. AI will go the same way, and thus the megacorps will and in some extent already are owning not only our data, but our thoughts and the ability to modify them. I mean, sponsored prompt injection is just the first thought modifying thing, imagine Google search sponsored hits, but instead it's a hyperconvincing AI response that subtly nudges you to a certain brand or way of thinking. Absolutely terrifies me, especially with all the research Meta has done on how to manipulate people's mood and behaviour through which social media posts they are presented with

Thanks for sharing this, it is an interesting read (though an additional comment about what this about would have been helpful). I want to say I am glad I do not use either of these services but Yandex implementation seems so bad that it does not matter, as any app could receive their data

It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.

Make them publishers or whatever is required to have it be a legal requirement, have them ban people who share false information. The law doesn't magically make open discussions not open. By design, social media is open. If discussion from the public is closed, then it's no longer social media. ban people who share false information Banning people doesn't stop falsehoods. It's a broken solution promoting a false assurance. Authorities are still fallible & risk banning over unpopular/debatable expressions that may turn out true. There was unpopular dissent over covid lockdown policies in the US despite some dramatic differences with EU policies. Pro-palestinian protests get cracked down. Authorities are vulnerable to biases & swayed. Moreover, when people can just share their falsehoods offline, attempting to ban them online is hard to justify. If print media, through its decline, is being held legally responsible Print media is a controlled medium that controls it writers & approves everything before printing. It has a prepared, coordinated message. They can & do print books full of falsehoods if they want. Social media is open communication where anyone in the entire public can freely post anything before it is revoked. They aren't claiming to spread the truth, merely to enable communication.

The biggest tech companies are still trimming from pandemic over hiring. Smaller companies are still snatching workers up. And you also have companies trimming payroll for the coming Trump recession. Neither have anything to do with AI.

What could possibly go wrong? Edit: reads like the substrate still needs to be introduced first