Transcript
Sponsor Voice (0:01)
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Riley (0:32)
My mama used to feed me the tech news every morning with a spoon, but then TechLink came into my life. Mama was never the same. Nvidia has announced the RTX 5060 desktop family, which the company is heartlessly splitting up to launch separately. Mama Mama. No. There's no Founder's Edition cards, but OEM versions of the RTX 5060 Ti are out now, with MSRPs of $430 USD for the 16 gig version and $380 for the 8 gig version, with the vanilla non Ti $300 RTX 5060 coming in May alongside 5060 laptops. Now, reviewers could have emphasized that these cards offer about a 20% performance uplift, along with more features compared to their predecessors at an arguably inoffensive price, and left it at that. But no. Nvidia had to go and claim the 5060 Ti is 50 times faster than the GTX 1060, so reviewers had no choice but to talk instead about Nvidia's ridiculous marketing Again, why'd you make us do it? Nvidia says the 5060 family embodies the three pillars of modern gaming performance image quality, frame rate, and latency. But they Forgot about the fourth pillar, Gaslighting. If you can find a 16 gigabyte 5060 ti in stock for near MSRP, it's not the worst option. But it's also a great time to consider rehoming a used card instead. It will appreciate and love you more.
Co-host (2:11)
It might have a smell to it.
Riley (2:13)
We gotta give Nvidia credit where it's due, though. They did just release a new GPU driver that appears to fix many of the recurring glitches that have plagued RTX 40 and and 50 series cards lately. After first releasing the drivers that caused all those glitches. Hey, hey, maybe don't download the new one just yet. Wait for an eager redditor to do the troubleshooting for you and post the all clear. Nvidia's got some troubleshooting of their own to do, though, according to a filing the company made to the SEC, which revealed to the public the US government's new export license requirement for AI chips. Nvidia estimates that they could be out $5.5 billion thanks to the new policy, while in a similar filing, AMD reckons they're looking at a financial hit of 800 million. That's because, according to industry analysts, the export license requirement is effectively a sales ban, preventing chip companies from squeezing any profit out of all these chips they made. They're just gonna sit on shelves in the warehouse now for God knows how long. The license requirement obviously represents the US trying to hurt China's AI development, but China might not need American chips soon if Huawei's claim about their new cloud matrix systems are true. They reportedly match or exceed the performance of Nvidia's NVL7.2 systems, but require more power to do so. Oh no, what's the CCP to do? Funnel all their national energy resources to develop super intelligent AI before America does? Yeah, yeah, probably, probably that they got dams Speaking of AI, OpenAI's developing a social network because the world can get worse. According to company sources who spoke with the Verge, the prototype platform is reportedly designed to facilitate sharing images generated by ChatGPT. This is real, providing a safe space for users tired of posting that on other social platforms and getting flamed for being cringe. You know, they asked Grok about this and it confirmed they're being treated unfairly. There might be something to this report, Sam Altman tweeted. Okay fine, maybe we'll do a social app. In February, in response to Meta developing a standalone AI app to compete with ChatGPT, Sam went on to tweet lol. If Facebook tries to come at us, we just uno reverse them. It would be so funny. Crying, laughing emoji. Which is ironic because it would be even funnier to see Sam Altman display a human emotion other than anxious self importance. Hey, if Elon Musk can buy his social media company with his AI company, then OpenAI can build a new social network. Why not? In terms of official announcements though, OpenAI launched yet more models O3 and 04 mini. They're reasoning models, but they can now reason directly with images for the first time in what OpenAI calls a converging of their O&GPT series models. And it's about time, because there are too many damn models and not enough.