Many people on Lemmy are extremely negative towards AI which is unfortunate. There are MANY dangers, but there are also Many obvious use cases where AI can be of help (summarizing a meeting, cleaning up any text etc.) Yes, the wax how these models have been trained is shameful, but unfoet9tjat ship has sailed, let's be honest.

My understanding is that if they've lasted at least a month and haven't died on you, you probably got a "good" batch and what you have now will be what it stays as for the most part, but a fair number of gulikits just sort of crap out at the 1-2 mo mark. So heads up on that.

I guess that's why you pay your soldiers. In the early summer of 2024, months before the opposition launched Operation Deterrence of Aggression, a mobile application began circulating among a group of Syrian army officers. It carried an innocuous name: STFD-686, a string of letters standing for Syria Trust for Development. ... The STFD-686 app operated with disarming simplicity. It offered the promise of financial aid, requiring only that the victim fill out a few personal details. It asked innocent questions: “What kind of assistance are you expecting?” and “Tell us more about your financial situation.” ... Determining officers’ ranks made it possible for the app’s operators to identify those in sensitive positions, such as battalion commanders and communications officers, while knowing their exact place of service allowed for the construction of live maps of force deployments. It gave the operators behind the app and the website the ability to chart both strongholds and gaps in the Syrian army’s defensive lines. The most crucial point was the combination of the two pieces of information: Disclosing that “officer X” was stationed at “location Y” was tantamount to handing the enemy the army’s entire operating manual, especially on fluid fronts like those in Idlib and Sweida.

Will never happen unfortunately

Interestingly it loads today. I have AdAway on my phone and PiHole in my home network

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.