I hope so. Tesla would be banned next week too. https://www.reuters.com/business/autos-transportation/grok-ai-be-available-tesla-vehicles-next-week-musk-says-2025-07-10/

That is still beyond extremely optimistic

The list of previous searches on his iPhone included “Which month is april in islam,” “Festivals happening near me,” “are suicide attacks haram in islam,” “ginger isis member,” “lone wolf terrorists isis,” and “can tou kill a woman who foesnt[sic] wear hijab.” lol of course he’s a fucking idiot

I know there decent alternatives to SalesForce, but I’m not sure what you’d replace Slack with. Teams is far worse in every conceivable way and I’m not sure if there’s anything else out there that isn’t already speeding down the enshittification highway.

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.

For future readers: Freetube currently works. Using it right now. Invidious works too, granted some instance do not. One needs to look for ones that are currently active.

Yesterday on reddit I saw a photo a patient shot over the shoulder of his doctor of his computer monitor. It had ChadGPT full with diagnosis requests. https://www.reddit.com/r/ChatGPT/comments/1keqstk/doctor_using_chatgpt_for_a_visit_due_to_knife_cut/