NVIDIA introduces Halos for Robotics, which the company calls the industry's first full-stack safety system for robotics and physical AI operating near people.

Musk's SpaceX buys AI coding start-up for $60bn days after IPO SpaceX has agreed to buy AI coding start-up Cursor for $60bn (£45bn) just days after its bumper initial public offering (IPO). Elon Musk's rocket company will take over Anysphere, which makes the artificial intelligence coding agent. The move comes after SpaceX joined New York's tech-focused Nasdaq stock exchange on Friday in the biggest ever listing, valuing it at more than $2tn and raising $85.7bn . A surge in SpaceX's share price on Monday and Tuesday saw the company overtake Amazon to become the world's fifth most valuable company. The companies have been partners since April, when SpaceX announced it had the right to either buy it for $60bn, or pay $10bn for the work they have done together.

Nvidia GeForce Now is offering significant discounts on yearly subscriptions, with the Ultimate tier reduced to $130 annually, saving $70. PCWorld highlights this limited-time promotion runs until July 8th, making cloud gaming more accessible for budget-conscious users. The service enables streaming PC games from existing libraries on various devices without requiring powerful hardware. Nvidia's GeForce Now streaming service is a great way to make use of a big Steam library without needing a beefy gaming PC. That's becoming a much more appealing option, as prices for RAM and storage become untenable ( thanks, in no small part, to Nvidia). If you're thinking about signing up, Nvidia is offering up to $70 off a yearly subscription, but only for the next month or so. The "Summer Sale" brings the price of the Ultimate tier down to $130 for a year, and the Performance tier down to $65.

PCWorld compares Nvidia's RTX Spark and Qualcomm's Snapdragon X2 Elite processors for AI-powered mini PCs, highlighting their distinct strengths for different use cases. Qualcomm's chip excels in single-core performance and general productivity tasks, while Nvidia's platform dominates AI content creation and gaming with its RTX 5070-equivalent GPU. The choice depends on specific needs, as both face compatibility challenges with some applications requiring emulation or specialized optimization for optimal performance. One big thing changed at Computex this past week: Windows on Arm processors became the next big thing for Windows desktops, specifically for mini PCs designed for productivity and AI applications. So which Arm processor is the best bet? Until they hit our test bench, we can't say for sure.

PCWorld reports that Nvidia's rumored N1X chip could revolutionize Windows laptops with a 20-core CPU, Blackwell GPU, and impressive AI performance potentially rivaling Qualcomm's Snapdragon X2 Elite. The N1X represents Nvidia's entry into laptop processors, promising better battery life and AI capabilities as laptop costs soar and consumers seek affordable alternatives. However, gaming performance may suffer due to x86 emulation challenges that plague all Arm-based processors, limiting the chip's appeal for gamers. Nvidia is evidently not content to be the world's most valuable company, as the AI and GPU giant now appears primed to dive headfirst into the choppy waters of the laptop processor market. Whether that will help or hurt its fortunes remains to be seen, as the Internet has been aflame this month with rumors that Nvidia will unveil a new "N1X" chip this week at Computex alongside a weaker N1 chip - and the word is both will be SoC (system-on-chip) silicon aimed at Windows laptops. That could be a big deal for anyone who wants to buy a laptop in the next few years, because everything I've heard about the N1X suggests it's optimized for AI performance, battery life, and perhaps even gaming. If Nvidia's efforts to partner with companies like MediaTek and Intel has produced a capable CPU married to a svelte Nvidia GPU on a single chip, utilizing Nvidia's expertise in building high-performance systems for AI and enterprise use, that's potentially a game-changer for the laptop market - and a big challenge to AMD, Apple, and Qualcomm's flagship laptop chips.

PCWorld anticipates Nvidia's N1X launch at Computex, featuring an Arm-based APU with 20 CPU cores and Blackwell graphics that could match RTX 5060 laptop performance. The article highlights growing concerns about PC hardware affordability, with examples like Steam Deck price increases suggesting higher costs may become the norm. This trend matters for consumers as powerful new hardware from Nvidia, AMD, and Intel may deliver impressive performance but potentially at premium prices that limit accessibility. The PC industry is once again on the brink of a pivotal moment in history--or so appears to be the case, given the rumors about Computex next week. In particular, the internet anticipates the launch of Nvidia's N1X, an Arm-based APU expected to marry ferocious CPU performance with equally knockout GPU chops.

Who are the US CEOs in China with Trump, and what's in it for them? More than a dozen United States business leaders have joined President Donald Trump on his state visit to China, where he is discussing issues including trade, technology and artificial intelligence (AI) with Chinese President Xi Jinping. Upon arrival in Beijing on Wednesday, Trump introduced the group by telling Xi that they were all "distinguished representatives from the American business community" who "all respect and value China", according to China's Xinhua news agency. The Chinese president responded by welcoming more "mutually beneficial cooperation" and assured them that American companies "will have broader prospects in China". The visit comes amid a long-simmering trade war between the two countries, after Trump's sweeping tariffs last year triggered tit-for-tat levies that exceeded 100 percent.

There's a deep, forbidding moat that surrounds Nvidia--and it has nothing to do with hardware. Forgive me for starting with a cliché, a piece of finance jargon that has recently slipped into the tech lexicon, but I'm afraid I must talk about "moats." Popularized decades ago by Warren Buffett to refer to a company's competitive advantage, the word found its way into Silicon Valley pitch decks when a memo purportedly leaked from Google, titled "We Have No Moat, and Neither Does OpenAI," fretted that open-source AI would pillage Big Tech's castle. A few years on, the castle walls remain safe. Apart from a brief bout of panic when DeepSeek first appeared, open-source AI models have not vastly outperformed proprietary models.

The long-awaited V4 is more efficient and a win for Chinese chipmakers. On Friday, Chinese AI firm DeepSeek released a preview of V4, its long-awaited new flagship model. Notably, the model can process much longer prompts than its last generation, thanks to a new design that helps it handle large amounts of text more efficiently. Like DeepSeek's previous models, V4 is open source, meaning it is available for anyone to download, use, and modify. V4 marks DeepSeek's most significant release since R1, the reasoning model it launched in January 2025. R1, which was trained on limited computing resources, stunned the global AI industry with its strong performance and efficiency, turning DeepSeek from a little-known research team into China's best-known AI company almost overnight.

Nvidia's new AI upscaling gaming technology struck gamers as uncanny and off-putting. Developers don't seem to like it, either, but it could be "the default" in a few years. Nvidia announced a new version of its DLSS AI upscaling technology for its graphics cards earlier this week at its GPU Technology Conference (GTC), which it calls the Super Bowl of AI . But unlike previous versions of DLSS that used AI to improve frame rates in video games, DLSS 5 has a much more ambitious calling: using generative AI to make character faces in games look more realistic and detailed. The demonstration received sharp blowback on social media, with many finding the effect off-putting, reacting with outright disgust, and calling it yet another example of AI slop .