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  • Volvo to Deploy Nvidia AI for Hands-Free Point-to-Point Driving by 2030

    Volvo to Deploy Nvidia AI for Hands-Free Point-to-Point Driving by 2030

    Volvo aims to introduce hands-free, point-to-point driving capabilities by 2030, leveraging Nvidia’s newest AI technology. The Chinese-owned, Swedish-engineered automaker announced Thursday it would adopt Nvidia’s autonomous driving stack to power a new partially automated driving system comparable to Tesla’s Full Self-Driving (Supervised).

    This system will mirror Tesla’s FSD by enabling hands-free, point-to-point partially automated driving on local streets. Volvo describes the new point-to-point system as Level 2++, capable of navigating complex urban environments — including traffic signals, stop signs, and unprotected left turns — without direct driver input.

    Beyond Tesla’s FSD, it will also share similarities with the Nvidia-powered system Mercedes-Benz recently debuted for the all-new CLA sedan, according to Ali Kani, VP and general manager of Nvidia’s automotive division, in an interview with Techgeeks.

    Volvo will employ Nvidia’s Hyperion platform, which incorporates the chipmaker’s high-performance silicon along with additional sensors positioned around the vehicle so the car can perceive its surroundings. The automaker will also utilize Nvidia’s Alpamayo software, which applies “reasoning” models to interpret complex road conditions and determine steering, braking, or acceleration decisions.

    The configuration will not include lidar, though the laser sensor could be added later if Volvo chooses.

    By deepening its existing partnership with Volvo, Nvidia is helping the automaker address past setbacks in automated driving. Volvo previously had to effectively shelve its Ride Pilot Level 3 unsupervised autonomous driving system in the US after failing to secure regulatory approval.

    The company also planned to equip some models with lidar sensors, but that initiative stalled after its supplier Luminar went bankrupt.

    Volvo is also contributing its longstanding reputation for safety to the collaboration.

  • Meta partners with Apple to optimize Muse AI models for Mac performance

    Meta partners with Apple to optimize Muse AI models for Mac performance

    Meta introduced the Muse Spark Open AI model today, describing it as the “most capable US open-weight model to date.” The company also noted that it marks “the first model in its class” capable of “running on your desktop using two Apple M5 Ultra Mac Studios with the latest MLX framework.”

    Meta and Apple’s CEOs have been publicly expressing support for each other’s work on Muse Spark Open. Despite typically competing in the AI space, the two tech giants collaborated on the model’s launch and are actively endorsing one another’s efforts.

    “Muse Spark Open — weights releasing today — runs great on new Mac Studios thanks to work with @johnternus and Apple,” Meta CEO Mark Zuckerberg said on X.

    “Congrats to the team!” Apple CEO John Ternus replied. “Amazing to run a model of Muse Spark Open’s caliber and scale this efficiently, right from your desk. Mac Studio keeps pushing the boundaries of on-device AI!”

    “We’re excited for mommy and daddy to be playing nice again,” Meta chief AI officer Alexandr Wang told Axios, who also reported that the companies have been working together for several months.

    The new model is a “natively multimodal model” with 816 billion total parameters that “excels at long-horizon tasks, complex software engineering, and multi-step reasoning,” according to Meta. Apple also released a new technical post covering MLX, an “array framework” for machine learning tasks on Apple Silicon, along with Muse Spark Open and two additional open models.

  • The best reason to care about Nvidia’s RTX Spark: ‘everything’ will run on Arm

    The best reason to care about Nvidia’s RTX Spark: ‘everything’ will run on Arm

    Fourteen years ago this month, Microsoft released an Nvidia-powered Windows PC that would become one of the greatest tech flops in modern history. The original Microsoft Surface, which ran a stripped-down version of Windows on an Nvidia Tegra chip, bombed so hard that Microsoft had to write off $900 million in inventory.

    The problem was that Nvidia’s Arm chip couldn’t run existing Windows apps. Buyers had to leave their legacy programs behind.

    This Friday, October 16th, Nvidia will once again be at the heart of Arm-powered Windows PCs with the first wave of RTX Spark laptops. But now, the company says, they’ll run everything. Adobe. Office. Blender. Even games that require kernel-level anti-cheat.

    “All your apps, all your games, everything’s going to run great on Spark,” Nvidia senior director of products Justin Walker told journalists last week.

    I’m willing to bet most Verge readers don’t have up to $7,000 burning a hole in their pockets for an unproven local AI workstation with 128GB of RAM. Even if you do, I’m not sure you’ll appreciate the tradeoffs of a thin laptop maxing out its GPU to produce “free” tokens locally. As Tom notes, it’s much slower than AI in the cloud.

    Related

  • How Windows is being optimized for Nvidia’s RTX Spark laptops
  • But it’s hard not to be excited for a future where Arm chips can do all the other things we expect of Windows PCs.

    Nvidia held an Editor’s Day in San Francisco last week to drive home the idea that RTX Spark laptops can be that everything. Gamers, creators, developers, and AI power users each got their own dedicated slide deck to explain the chip’s benefits.

    At the end, Nvidia handed out laptops for review, and I’m writing this story on one right now. After several days, I’m finding it mostly indistinguishable from a traditional Windows machine, though we’ll have more thoughts on early pros, cons, and quirks when the full embargo lifts tomorrow.

    The RTX Spark “superchip” isn’t a brand-new piece of silicon — it’s the same chip the company put in mini desktops for AI developers a full year ago. But those boxes ran Linux; this one runs full Windows 11, with Microsoft’s Prism emulator making old Windows apps and games work on the Arm chip.

    Nvidia isn’t the first company to make a big bet on extending PC software onto a platform it wasn’t originally designed for. Starting in 2020, Apple moved all its computers from Intel x86 chips to its own Arm-based silicon with the help of its Rosetta 2 emulator .

    In 2022, Valve’s SteamOS proved the potential of Windows games on Linux, and then Arm , with the help of the Linux community. And in 2024, the Prism emulator got its first outing when Qualcomm launched the first well-received Windows on Arm machines, including the Microsoft Surface Laptop 7th Edition .

    But Nvidia wants to leapfrog them all when it comes to AI and gaming.

    Though Qualcomm originally suggested most games should “just work” on Snapdragon-powered Windows laptops, it was a rude awakening . Some games entirely errored out, some had hitches, and Qualcomm’s Snapdragon X Elite chips were targeting relatively low-end gaming to begin with.

    Many of the world’s biggest multiplayer games, like Fortnite , wouldn’t run on either Qualcomm or SteamOS devices because their anti-cheat software was incompatible with Arm and Linux respectively.

    Nvidia’s RTX Spark has substantially more graphics horsepower than a Steam Deck or a Qualcomm Snapdragon X Elite, though, more akin to a midrange discrete laptop GPU like an RTX 5060 in our early tests, and Nvidia says it’s working with a laundry list of game companies to enable practically every anti-cheat solution out there.

    Nvidia says it already supports the various anti-cheat software used in Fortnite, Roblox, Rust, Rainbow Six Siege, and MapleStory — all of which have been incompatible with Valve’s SteamOS — and Nvidia says the various anti-cheat software that protect Call of Duty, PUBG, League of Legends, Valorant, Apex Legends, Battlefield, and many EA Sports titles are all officially coming to RTX Spark later.

    The reality is that some “CPU-limited” games will run slower because Microsoft’s Prism has to convert their x86 instructions to Arm instructions in real time, adding a delay to everything. My colleague Tom Warren wasn’t able to run Horizon Zero Dawn Remastered higher than 30fps no matter what he tried, probably because that game is fairly CPU bound.

    And when he tried Assassin’s Creed Shadows , my colleague Antonio Di Benedetto couldn’t break 30fps there either — a MacBook Pro M5 Max ran that game twice as fast.

    But most games are still limited by their graphics instead of CPU — and the Nvidia Blackwell GPU inside the RTX Spark is the same Blackwell you’ll find in a traditional laptop, no translation necessary.

    So far, we’re seeing smooth 1080p performance in games like Cyberpunk 2077 , and we find you can stretch that to the native 1800p or 2180p resolution of these laptops if you’re willing to settle for low or medium settings with a lot of DLSS upscaling.

    (Officially, Nvidia claims you can play 007 First Light, Cyberpunk, Gears of War: E-Day, Doom: The Dark Ages, Naraka: Bladepoint, and Pragmata at 135fps at 1440p, but that’s with DLSS and 3x frame generation, meaning two “fake” frames for every real one. Those results might also be using Nvidia’s faster new frame gen model with reduced image quality.)

    In a normal year, back when Nvidia was a normal company, it would have been enough for RTX Spark laptops to “just work.” Instead, Nvidia is on top of the world, making hundreds of billions of dollars in profit selling shovels in the AI gold rush — which, in turn, has driven the price of memory and storage into the stratosphere.

    The bad news is that makes these RTX Spark laptops very expensive, especially if you want enough memory and GPU cores to do all the things they claim.

    For $2,600, the Surface Laptop Ultra actually starts with a cut-down Nvidia N1X with 18 CPU cores and 5,120 GPU cores and 24GB of memory; you’ll pay $3,700 for the full complement of 20 CPU cores and 6,144 GPU cores, and up to $5,900 if you want 128GB of unified memory to fit larger local AI models.

    The good news is that Windows PC manufacturers, including Microsoft, seem more emboldened to go after MacBook Pro-esque quality now that they can justify asking for so much money. And by the time the rest of us can afford an Nvidia machine — Nvidia says Spark is a family of products with lower-cost versions in the works — perhaps early growing pains will be ironed out.

    The best news is that the future Nvidia is building doesn’t belong to Nvidia alone. Qualcomm helped make today’s Windows on Arm possible, and Nvidia should help make tomorrow’s Qualcomm machines that much better too.

    The rising tide of Arm lifts all its boats.

  • E Ink upgraded the screen found in most color e-readers

    E Ink upgraded the screen found in most color e-readers

    E Ink announced the next generation of its Kaleido color e-paper screen technology today, delivering several welcome improvements. The company’s existing Kaleido 3 displays can be found in e-readers and tablets from companies like Kobo , PocketBook , and Boox , while Amazon’s Kindle Colorsoft uses a customized version to improve performance.

    The new Kaleido 4 technology addresses some of Kaleido 3’s shortcomings with improved color reproduction, better contrast, and faster screen refreshes.

    Other E Ink technologies, like its Gallery 3 display found in the Remarkable Paper Pro , use colored pigments that move around to form full-color images, but Kaleido 3 employs a color filter over an e-paper panel with just black and white pigments.

    That approach results in color e-paper screens with fast refresh rates, but it generates color images at a lower resolution with a limited palette that tends to make them look desaturated. The extra color filter also leaves plain text looking darker than it does on e-readers with only a black-and-white E Ink screen.

    E Ink claims its new Kaleido 4 display tech doubles the “color gamut volume” of its predecessor, which should improve how color images look. However, the technology is still limited to producing just 4,096 colors (modern LCD and OLED displays can produce millions) and, as with Kaleido 3, at a lower resolution than black-and-white text is displayed.

    But Kaleido 4 does increase white reflectance by 15 percent and boosts contrast by 50 percent, so plain text will potentially look less muddy than it often does with Kaleido 3.

    The reason that E Ink’s seemingly superior Gallery 3 technology hasn’t been used in more devices is because those displays have a slow refresh rate that can often feel frustrating to use.

    Kaleido 3 refreshes much faster, and thanks to a new oxide TFT backplane (that sounds similar to what the Kindle Colorsoft uses), Kaleido 4’s performance is even faster with refresh rates up to 18fps, making the screens capable of playing back video.

    Companies like Amazon and Kobo haven’t yet announced any new devices that will feature Kaleido 4 screens, but Hanvon Technology will be the first to adopt the new technology in its upcoming M10C II tablet.

    It will only be available in China, but the M10C II will feature a Kaleido 4 display with a micro-etched tempered-glass surface designed to reduce glare while providing a more authentic paper-like feel when taking notes using its battery-free pen.

  • Google introduces universal AI shopping cart ahead of holiday season

    Google introduces universal AI shopping cart ahead of holiday season

    …

  • Quick question: Who exactly is iPhone Handoff for?

    Quick question: Who exactly is iPhone Handoff for?

    Last month, Apple announced a feature called iPhone Handoff. Not to be confused with that Handoff; this is a new one.

    iPhone Handoff allows you to keep your number active on two iPhones at the same time so you can easily switch between them. According to Apple’s support website, you pick one phone as your main phone and set up Handoff on the other as your secondary phone. When you unlock one of them, your number becomes active on that phone — that’s where you’ll get calls, and that device will be used for Find My.

    The idea is that your secondary phone will be something you pick up on weekends, for example, with apps and settings configured to your needs, and Handoff means you can use it with your existing phone number. Apple is pitching it as a totally seamless way to use your number on two phones, but that convenience comes at a cost.

    T-Mobile is the first US carrier to support the feature, and it’s an extra $5 on your monthly phone bill to use it. Verizon is also planning to support Handoff by the end of the year.

    If you’re on AT&T you’re out of luck, it seems.

    As someone who uses a lot of different phones, this all sounds handy. But the more I considered how it would actually work, the more I wondered: Who is this feature really for? Why not just switch your eSIM? As I read up on it, the wilder it seemed. And so I present my short list of potential iPhone Handoff users, ranked from least to most speculative.

    You want to live the Duo lifestyle but you don’t want to give up your slab phone

    Given that Apple announced Handoff when it unveiled the Duo, this is likely a scenario that Cupertino had in mind.

  • The AI Competition Reignites

    The AI Competition Reignites

    Just last week, Anthropic and OpenAI appeared to have secured an unassailable lead in the AI competition, advancing with ever-more-capable models that left competitors trailing. Google looked irretrievably behind, while Meta — despite pouring billions into reviving its struggling AI aspirations — had failed to prove itself a genuine threat.

    Even China’s latest impressive offerings seemed merely to be chasing the leaders.

    Now Google and Meta are mounting a direct challenge to Anthropic and OpenAI at the cutting edge of AI. In just a few days, the landscape shifted dramatically. Both companies debuted frontier models they assert can match the top offerings from OpenAI and Anthropic head-to-head. The contest has reignited overnight — and the outcome is wide open.

    Until this week, Google appeared to have permanently ceded its position among AI’s elite. Following Gemini 3’s release late last year, the tech behemoth offered only marginal upgrades. While Gemini 3 was formidable at launch, its advantage proved short-lived, and it faltered against subsequent releases from OpenAI and Anthropic — even some open-weight models from China.

    A wave of internal upheaval only reinforced the impression that Google was withdrawing from the AI vanguard. Longtime executive Jeff Dean left alongside several AI researchers to found a startup.

    Demis Hassabis, the Nobel laureate who led Google’s AI powerhouse DeepMind for years, relinquished daily operational control. Additional AI teams were transferred from DeepMind into Google’s core organization.

    Collectively, these moves indicated a fundamental relocation of Google’s AI center of gravity from London to California, sparking conjecture that the company was shifting focus from research to commercialization.

    Then, on Tuesday, Google shattered that narrative by unveiling Gemini 4 Argon, a new frontier model the company says equals or surpasses flagship models from OpenAI and Anthropic across multiple benchmarks — whatever significance those benchmarks still hold.

  • Microsoft and Japan dismantle cybercrime network behind over a billion scam messages

    Microsoft and Japan dismantle cybercrime network behind over a billion scam messages

    We’ve all gotten a scam text about a nonexistent parking ticket or a fake package delivery, but hopefully you’ll start seeing fewer of them. Microsoft says it helped dismantle a marketplace for scammers sending phishing messages like those around the world.

    Through an investigation with Japan’s National Police Agency, it tracked scam activity back to a marketplace called YAM Store and a pair of phishing kits, CoGUI and Iron Man. Microsoft says it disabled over 20,000 accounts connected to a marketplace for scammers.

    Since January 2026, YAM Store, CoGUI and Iron Man have collectively enabled more than one billion malicious messages targeting over 75,000 organizations worldwide, including more than 750 million messages geared toward Microsoft customers alone.

    These messages have been used to target consumers, healthcare organizations, financial institutions, and other businesses in more than 150 countries, generating tens of millions of dollars for their operators.

    Since January 2026, YAM Store, CoGUI and Iron Man have collectively enabled more than one billion malicious messages targeting over 75,000 organizations worldwide, including more than 750 million messages geared toward Microsoft customers alone.

    These messages have been used to target consumers, healthcare organizations, financial institutions, and other businesses in more than 150 countries, generating tens of millions of dollars for their operators. According to Microsoft’s report, scammers could buy stolen or fraudulent Microsoft and Google accounts on YAM Store and use the phishing kits to send scam messages.

    Microsoft says YAM Store also hijacked real organizations’ expired web domains and created websites for nonexistent organizations, which it used to get Microsoft accounts it could resell. The Iron Man platform was also offering over 2,300 templates scammers could use to impersonate organizations like banks and police departments.

    Microsoft says it disabled over 20,000 accounts connected to YAM Store and blocked over 100,000 web domains being used for impersonation and fraud. With health sector cybersecurity non-profit Health-ISAC, Microsoft also seized and redirected web domains that were powering all three platforms.

  • McKinsey to Use AI Client Simulation in Entry‑Level Hiring

    McKinsey to Use AI Client Simulation in Entry‑Level Hiring

    McKinsey & Company plans to have some entry‑level candidates participate in a 10‑minute conversation with an AI simulation of a client as part of the interview process, according to The Wall Street Journal. The simulation is intended to replicate roughly 80% of the scenarios consultants encounter in their daily work and is not designed to mimic an unruly client.

    The AI will not evaluate the candidates; instead, human observers will assess how they handle the simulated situations. The tool will be tested this fall for undergraduate applicants seeking business‑analyst positions in select North American offices, with hundreds expected to participate.

    Other companies are also developing AI avatar tools for interviews, and a colleague recently tested several for a video.

  • Eight states sue OpenAI, saying ChatGPT isn’t safe for kids

    Eight states sue OpenAI, saying ChatGPT isn’t safe for kids

    OpenAI is facing a new wave of lawsuits from eight US states that accuse the company of harming children and misleading customers about the safety of ChatGPT, as reported earlier by Reuters. The lawsuits, filed separately by Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho, and Montana, allege OpenAI unlawfully put profits over safety when developing ChatGPT.

    The string of complaints claims that OpenAI violated local consumer protection laws by failing to warn customers about the dangers of ChatGPT, citing several lawsuits filed by the family members of teens and adults that allege the AI chatbot played a role in their loved ones’ deaths.

    They allege that while OpenAI misleadingly presented ChatGPT as a “safe, youth-appropriate tool that puts safety first,” it was actually “dangerous to vulnerable users” — including by “degrading critical thinking skills, encouraging paranoias and delusions, offering dangerous medical advice, and promoting unhealthy behaviors and relationships.”

    Related

  • ChatGPT for Teens is an ‘unacceptable risk,’ says Common Sense Media
  • Florida seeks a ban on ChatGPT acting like a person
  • Additionally, the states accuse OpenAI of collecting data from minors and not doing enough to keep underage users from using the chatbot. The lawsuits also cite recent rogue AI hacking incidents as evidence of OpenAI’s alleged “recklessness.”

    “OpenAI has devolved from its original mission as a public-first nonprofit that prioritized safety into a cautionary tale about what can happen when the development of a tool as powerful as AI is driven not by safety, but by a profit‑at‑all‑costs mindset that sidelines essential safeguards,” Arizona’s lawsuit claims.

    In an emailed statement to The Verge, OpenAI spokesperson Drew Pusateri says the company has “built industry-leading age-specific protections” into ChatGPT:

    While no system can be perfect, we’ll continue to work with experts to inform our work and build additional safeguards, such as the parental controls, break reminders and age-appropriate model protections that exist today. We’re committed to working with states on advancing pragmatic AI policies that apply to the entire AI industry – not just one company.

    The states are asking the courts to force OpenAI to pay a series of civil penalties and to stop misleading the public about the safety of ChatGPT. Some states are also seeking the deletion of unlawfully collected personal data.

    Update, October 14th: Added a statement from OpenAI.