Earlier this year, Google announced the end of its efforts to get Steam running on Chromebooks , but it’s not done trying to make these low-power laptops into gaming machines. Google has teamed up with Nvidia to offer a version of GeForce Now cloud streaming that is perplexingly limited in some ways and generous in others. Starting today, anyone who buys a Chromebook will get a free year of a new service called GeForce Now Fast Pass. There are no ads and less waiting for server slots, but you don’t get to play very long.

Back before Google killed its Stadia game streaming service , it would often throw in a few months of the Pro subscription with Chromebook purchases. In the absence of its own gaming platform, Google has turned to Nvidia to level up Chromebook gaming. GeForce Now (GFN), which has been around in one form or another for more than a decade, allows you to render games on a remote server and stream the video output to the device of your choice. It works on computers, phones, TVs, and yes, Chromebooks.

The new Chromebook feature is not the same GeForce Now subscription you can get from Nvidia. Fast Pass, which is exclusive to Chromebooks , includes a mishmash of limits and bonuses that make it a pretty strange offering. Fast Pass is based on the free tier of GeForce Now, but users will get priority access to server slots. So no queuing for five or 10 minutes to start playing. It also lacks the ads that Nvidia’s standard free tier includes. Fast Pass also uses the more powerful RTX servers, which are otherwise limited to the $10-per-month ($100 yearly) Performance tier.

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In 2010, the Deepwater Horizon oil rig exploded in the Gulf of Mexico, causing one of the largest marine oil spills ever. In the aftermath of the disaster, whale scientist Iain Kerr traveled to the area to study how the spill had affected sperm whales, aiming specialized darts at the animals to collect pencil eraser-sized tissue samples.

It wasn’t going well. Each time his boat approached a whale surfacing for air, the animal vanished beneath the waves before he could reach it. “I felt like I was playing Whac-A-Mole,” he says.

As darkness fell, a whale dove in front of Kerr and covered him in whale snot. That unpleasant experience gave Kerr, who works at the conservation group Ocean Alliance , an idea: What if he could collect that same snot by somehow flying over the whale? Researchers can glean much information from whale snot, including the animal’s DNA sequence, its sex, whether it is pregnant, and the makeup of its microbiome.

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Google’s platform for casting audio and navigation apps from a smartphone to a car’s infotainment system beat Apple’s to market by a good while, but that headstart has not always kept Android Auto in the lead ahead of CarPlay . But an upgrade rolls out today—provided you already have Gemini on your phone, now it can interact with you while you drive.

What has sometimes felt like a hands-off approach by Google toward Android Auto didn’t reflect an indifference to making inroads into the automotive world. Apple might have its flashy CarPlay Ultra that lets Cupertino take over the look and feel of a car’s digital UI , but outside of an Aston Martin, where will any of us encounter that?

Meanwhile the confusingly similarly named Android Automotive OS —a version of Android developed to run with the kind of stability required in a vehicle as opposed to a handheld—has made solid inroads with automakers, and you’ll find AAOS running in dozens of makes from OEMs like General Motors , Volkswagen Group, Stellantis , Geely, and more, although not always with the Google Automotive Services—Google Maps, Google Play, and Google Assistant—that impressed us back in 2021 when we drove the original Polestar 2.

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Google’s meme-friendly Nano Banana image-generation model is getting an upgrade. The new Nano Banana Pro is rolling out with improved reasoning and instruction following, giving users the ability to create more accurate images with legible text and make precise edits to existing images. It’s available to everyone in the Gemini app, but free users will find themselves up against the usage limits pretty quickly.

Nano Banana Pro is part of the newly launched Gemini 3 Pro —it’s actually called Gemini 3 Pro Image in the same way the original is Gemini 2.5 Flash Image , but Google is sticking with the meme-y name. You can access it by selecting Gemini 3 Pro and then turning on the “Create images” option.

Google says the new model can follow complex prompts to create more accurate images. The model is apparently so capable it can generate an entire usable infographic in a single shot with no weird AI squiggles in place of words. Nano Banana Pro is also better at maintaining consistency in images. You can blend up to 14 images with this tool, and it can maintain the appearance of up to five people in outputs.

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With ardent anti-vaccine activist Robert F. Kennedy Jr. as the country’s top health official, a federal webpage that previously laid out the ample evidence refuting the misinformation that vaccines cause autism was abruptly replaced Wednesday with an anti-vaccine screed that promotes the false link.

It’s a move that is sure to be celebrated by Kennedy’s fringe anti-vaccine followers, but will only sow more distrust, fear, and confusion among the public, further erode the country’s crumbling vaccination rates, and ultimately lead to more disease, suffering, and deaths from vaccine-preventable infections, particularly among children and the most vulnerable.

On the Centers for Disease Control and Prevention’s website titled “Autism and Vaccines,” the previous top “key point” accurately reported that: “Studies have shown that there is no link between receiving vaccines and developing autism spectrum disorder (ASD).”

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A little more than a century ago, the US Army Air Service came up with a scheme for naming the military’s multiplying fleet of airplanes.

The 1924 aircraft designation code produced memorable names like the B-17, A-26, B-29, and P-51 —B for bomber, A for attack, and P for pursuit —during World War II. The military later changed the prefix for pursuit aircraft to F for fighter, leading to recognizable modern names like the F-15 and F-16.

Now, the newest branch of the military is carving its own path with a new document outlining how the Space Force, which can trace its lineage back to the Army Air Service, will name and designate its “weapon systems” on the ground and in orbit. Ars obtained a copy of the document, first written in 2023 and amended in 2024.

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On September 19, 1982, Carnegie Mellon University computer science research assistant professor Scott Fahlman posted a message to the university’s bulletin board software that would later come to shape how people communicate online. His proposal: use :-) and :-( as markers to distinguish jokes from serious comments. While Fahlman describes himself as “the inventor…or at least one of the inventors” of what would later be called the smiley face emoticon , the full story reveals something more interesting than a lone genius moment.

The whole episode started three days earlier when computer scientist Neil Swartz posed a physics problem to colleagues on Carnegie Mellon’s “bboard,” which was an early online message board. The discussion thread had been exploring what happens to objects in a free-falling elevator, and Swartz presented a specific scenario involving a lit candle and a drop of mercury.

That evening, computer scientist Howard Gayle responded with a facetious message titled “WARNING!” He claimed that an elevator had been “contaminated with mercury” and suffered “some slight fire damage” due to a physics experiment. Despite clarifying posts noting the warning was a joke, some people took it seriously.

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Not everyone appreciates the artistry of Jackson Pollock’s famous drip paintings, with some dismissing them as something any child could create. While Pollock’s work is undeniably more sophisticated than that, it turns out that when one looks at splatter paintings made by adults and young children through a fractal lens and compares them to those of Pollock himself, the children’s work does bear a closer resemblance to Pollock’s than those of the adults. This might be due to the artist’s physiology, namely a certain clumsiness with regard to balance, according to a new paper published in the journal Frontiers in Physics.

Co-author Richard Taylor , a physicist at the University of Oregon, first found evidence of fractal patterns in Pollock’s seemingly random drip patterns in 2001. As previously reported , his original hypothesis drew considerable controversy , both from art historians and a few fellow physicists. In a 2006 paper published in Nature, Case University physicists Katherine Jones-Smith and Harsh Mathur claimed Taylor’s work was “seriously flawed” and “lacked the range of scales needed to be considered fractal.” (To prove the point, Jones-Smith created her own version of a fractal painting using Taylor’s criteria in about five minutes with Photoshop.)

Taylor was particularly criticized for his attempt to use fractal analysis as the basis for an authentication tool to distinguish genuine Pollocks from reproductions or forgeries. He concedes that much of that criticism was valid at the time. But as vindication, he points to a machine learning-based study in 2015 relying on fractal dimension and other factors that achieved a 93 percent accuracy rate distinguishing between genuine Pollocks and non-Pollocks. Taylor built on that work for a 2024 paper reporting 99 percent accuracy.

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There’s been a lot of talk of an AI bubble lately, especially with regards to circular funding involving companies like OpenAI and Anthropic—but Clem Delangue, CEO of machine learning resources hub Hugging Face, has made the case that the bubble is specific to large language models, which is just one application of AI.

“I think we’re in an LLM bubble, and I think the LLM bubble might be bursting next year,” he said at an Axios event this week, as quoted in a TechCrunch article. “But ‘LLM’ is just a subset of AI when it comes to applying AI to biology, chemistry, image, audio, [and] video. I think we’re at the beginning of it, and we’ll see much more in the next few years.”

At Ars, we’ve written at length in recent days about the fears around AI investment . But to Delangue’s point, almost all of those discussions are about companies whose chief product is large language models, or the data centers meant to drive those—specifically, those focused on general-purpose chatbots that are meant to be everything for everybody.

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