1 00:00:00,000 --> 00:00:08,880 Sorry I haven't been hosting for a while guys, I was busy growing this mustache. 2 00:00:08,880 --> 00:00:15,840 Reviews are up for the GeForce RTX 5080, NVIDIA's latest AI product formerly known as the GPU, 3 00:00:15,840 --> 00:00:20,400 and for many, including Linus Tech Tip Sebastian, it's falling a bit flat. 4 00:00:20,400 --> 00:00:26,120 In native rendering performance at 1440p, which is a lot of P, the RTX 5080 is roughly 5 00:00:26,120 --> 00:00:32,920 10% better than the 4080 Super and 7% better than AMD's RX 7900 XTX. 6 00:00:32,920 --> 00:00:37,280 Those leads increased to 20% and 10% respectively at 4K. 7 00:00:37,280 --> 00:00:42,200 But the 5080 is still well behind the 4090, thanks in no small part to NVIDIA keeping the 8 00:00:42,200 --> 00:00:50,000 VRAM limited to 16GB, while the 4090 has 24GB, and it does not like to share. 9 00:00:50,000 --> 00:00:54,280 This release is disappointing to enthusiasts who remember that the RTX 4080 outperformed 10 00:00:54,280 --> 00:01:00,640 the 3090 and 3090 Ti at launch, although NVIDIA gave it a $1,200 price tag, the 5080 11 00:01:00,640 --> 00:01:05,360 only costs $1,000, so it's missing a whole $200 worth of GPU juice apparently, but no 12 00:01:05,360 --> 00:01:09,800 matter how mid reviewers say the RTX 50 series cards are so far, they're still going to 13 00:01:09,800 --> 00:01:16,000 be hard to find. NVIDIA has warned of availability issues to significant demand, probably because people 14 00:01:16,000 --> 00:01:19,840 just love AI so much and the bubble is definitely not popping, can't do that. 15 00:01:19,840 --> 00:01:23,560 I didn't hear anything, it's solid. I'll be over here AI-ing guys. 16 00:01:23,560 --> 00:01:28,720 Speaking of which, there's a fresh new Chinese AI model to give US investors more panic attacks. 17 00:01:28,720 --> 00:01:34,800 E-commerce giant Alibaba has released Quen 2.5 Max, which the company says outperforms 18 00:01:34,800 --> 00:01:38,320 DeepSeq V3, although it can't be run locally. 19 00:01:38,320 --> 00:01:44,800 How are they doing this? Well after DeepSeq's own model indicated to redditors that it sometimes confuses itself 20 00:01:44,800 --> 00:01:49,960 with the chat GPT, OpenAI told the Financial Times, it has evidence that DeepSeq trained 21 00:01:49,960 --> 00:01:55,240 models on data generated by chat GPT, which was famously trained only on original text 22 00:01:55,240 --> 00:01:58,280 handwritten by Sam Altman, the manifesto we call it. 23 00:01:58,280 --> 00:02:02,720 It's artisanal. Microsoft says they're investigating these claims, in case you forgot, they're best 24 00:02:02,720 --> 00:02:07,000 friends with OpenAI, which we know because thanks to social media we can follow the friendships 25 00:02:07,000 --> 00:02:10,600 and rivalries of tech CEOs like their Minecraft YouTubers. 26 00:02:10,600 --> 00:02:15,280 Now as we said on Monday, the US stock market panicked in response to the release of DeepSeq 27 00:02:15,280 --> 00:02:23,160 AI's models. But does that make sense? I mean, there are some reports that a while DeepSeq's chatbots were trained on NVIDIA GPUs, 28 00:02:23,160 --> 00:02:28,480 when you use one on the web, now it's running on AI chips made by Huawei, which would give 29 00:02:28,480 --> 00:02:32,080 US investors some reason to be worried about NVIDIA's monopoly. 30 00:02:32,080 --> 00:02:36,080 However, whether these Chinese models are actually as cheap to train and use as DeepSeq 31 00:02:36,080 --> 00:02:43,560 claims is being debated by analysts. An anthropologist, Dario Amode, argues the fact Chinese companies have to turn to less 32 00:02:43,560 --> 00:02:47,600 powerful hardware is proof that American restrictions on the export of AI chips are 33 00:02:47,600 --> 00:02:53,520 working. But let's say, sure, DeepSeq is way more efficient, as explained by Sam Maltman, that doesn't 34 00:02:53,520 --> 00:02:58,320 mean AI companies are going to buy less hardware. Uh, that $500 billion server? 35 00:02:58,320 --> 00:03:01,320 Yeah. We could do 250. Keep it coming. 36 00:03:01,320 --> 00:03:05,120 I thought that was all the stories, but it turns out I saved a quick bit in my mustache. 37 00:03:05,120 --> 00:03:11,960 Mustache, mustache! Enough! Google has open-source PebbleOS, the operating system that powered Pebble smartwatches, which 38 00:03:12,200 --> 00:03:17,080 you may not be old enough to remember. They were bought by Fitbit, which was bought by Google in 2021. 39 00:03:17,080 --> 00:03:22,240 Well, the original founder of Pebble, and super gigachat, Eric Megakofsky, says the 40 00:03:22,240 --> 00:03:25,240 open-sourcening means he's bringing Pebble back. 41 00:03:25,240 --> 00:03:29,160 His new team is working on an open-source smartwatch with a focused core set of features that 42 00:03:29,160 --> 00:03:33,360 users can tinker with so they don't have to depend on companies to fix stuff like the 43 00:03:33,360 --> 00:03:36,960 Blue Triangle of Death that briefly afflicted Garmin wearables this week. 44 00:03:36,960 --> 00:03:39,960 I mean, Blue Triangle? That's not even a thing. 45 00:03:39,960 --> 00:03:47,280 They made it up. Next, Pink Tetrahedrons. U.S. President Donald Trump said in a speech on Monday that his government will place 46 00:03:47,280 --> 00:03:53,440 tariffs on the import of computer chips and semiconductors to return production of these 47 00:03:53,440 --> 00:04:00,800 essential goods to the United States. The Biden Administration's CHIPS Act tried to do this by planning to invest 52 billion 48 00:04:00,800 --> 00:04:05,700 dollars in domestic chip foundries. But Trump says they had it the wrong way around. 49 00:04:05,700 --> 00:04:14,680 Chip companies don't need money. They need an incentive to not pay what Trump says could be a 25, 50, even 100 percent tax. 50 00:04:14,680 --> 00:04:20,760 Wow, it's like he's here. And that's why the U.S. is collaborating with every country in the world to make sure 51 00:04:20,760 --> 00:04:25,200 they all place those tariffs too. That way, TSMC will have no choice. 52 00:04:25,200 --> 00:04:32,720 It's foolproof. Comcast is rolling out new tech in select cities that it says could reduce latency by 78 percent 53 00:04:32,720 --> 00:04:37,080 in what the telecom giant calls an ultra-low-leg connectivity experience. 54 00:04:37,080 --> 00:04:43,160 They put experience on the end and it makes it funny. The experience uses a tech standard that's been in the works for a while called L4S, 55 00:04:43,160 --> 00:04:47,560 which stands for low-latency, low-loss, scalable throughput, girl boss. 56 00:04:47,560 --> 00:04:52,720 L4S sounds like a Craigslist list. You tell me in the comments what it means. 57 00:04:52,720 --> 00:04:58,720 I'm an L, I'm looking for an S. If Comcast claims are true, this might make you happier with your existing internet, which 58 00:04:58,720 --> 00:05:03,400 is good because the new chair of the FCC is killing his predecessor's proposal, making 59 00:05:03,400 --> 00:05:06,720 it easier for renters to switch internet service providers. 60 00:05:06,720 --> 00:05:09,760 Of the one you're with? Is that so hard? 61 00:05:09,760 --> 00:05:16,240 No one commits anymore. Anacoder has published a new open-source tar pit tool that tackles the problem of AI training 62 00:05:16,240 --> 00:05:21,440 webcrawlers hogging websites resources by trapping those webcrawlers in an infinite, randomly 63 00:05:21,440 --> 00:05:29,720 generated maze of linked pages. The tool is called Nepentheeth, as in the biological name for a genus of carnivorous plants. 64 00:05:29,720 --> 00:05:33,640 The tool is just like those, except while tropical insects are scary and huge, they're 65 00:05:33,640 --> 00:05:36,920 not known for hitting the same servers a million times in 24 hours. 66 00:05:36,920 --> 00:05:40,840 Although whoever wrote this has clearly never been to Botswana. 67 00:05:40,840 --> 00:05:44,480 No botflies though, just keep your carapaces out of my skin.