Every piece of AI content from Google's Gemini models has a hidden SynthID label, which makes it very difficult to pass the content off as authentic. SynthID has also gotten buy-in from other major AI players, but actually checking for those invisible watermarks has been a convoluted process. It's going to be a little easier going forward, though. Google has announced that its SynthID detector now supports watermarks from all its partners, and it's available for anyone to use on a new dedicated website.

SynthID is an invisible signal encoded in the pixels of AI-generated images and videos, and in the waveform of AI audio. Google says Gemini alone has integrated SynthID with over 180 billion images and videos, plus 240,000 years of audio. Until now, the only way for those outside of Google's trusted tester program to check for SynthID was to ask Gemini. This is rather clunky, and the model's output could sometimes be confusing when you just wanted a simple "yes" or "no."

Now you can cut Gemini out of the loop. Starting today, you can go to the new SynthID.com website to check a piece of content for an AI watermark. A major limitation of Google's previous detector was that it only checked for Google's version of SynthID. Even though ChatGPT images, for example, have SynthID, they wouldn't be flagged in Google's detector. That's no longer a problem.

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Googlebooks are Google's latest attempt to carve out a piece of the premium laptop market, and tight integration with Android phones is a key part of that effort. Now that Googlebooks are available, we're learning of some frustrating limitations of that plan. For now, Googlebooks will only play nicely with your phone if you have a Pixel.

When Google announced the launch window for Googlebooks, it said the laptops were "engineered to work with your Android phone right out of the box." But as with many things Google, the truth is more convoluted. We have since learned that you need Android 17 for any of the nifty integrations to work. With a compatible Android 17 phone, you can seamlessly stream apps to your laptop, access files on your phone, mirror notifications, and continue where you left off in certain apps when switching from phone to laptop.

You might think that the latest Samsung phones, which shipped with Android 17, would be ready for this experience. You'd be wrong, though. Some early Googlebook adopters have complained that phones like the Z Fold 8 won't work with the laptops. While the devices appear to see each other, the phone doesn't stay connected. Google representatives have since confirmed that these "Better Together" features are not currently supported on even the latest Samsung phones. An update that brings support to Samsung phones will roll out in "the coming weeks."

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The era of generative AI has upended technology supply chains, and there is one ironclad rule in 2026: If it has memory or storage, it's getting more expensive. Even devices with years-old tech inside are still apparently subject to that unwritten rule. Nvidia has just announced that the Shield TV Pro is getting $100 more expensive, effective immediately.

The most recent version of the Shield streaming box debuted in 2019, running Android TV with AI upscaling and hardware decoding for almost any type of media. While it ran an aging Tegra X1+ processor, that was (and still is) fast for a TV media streamer. The device launched at $199.99, with a non-Pro variant at $149.99. The non-Pro Shield has since been discontinued, but the Shield TV Pro lives on at the new $299.99 price.

Nvidia has confirmed that you can blame AI for the higher Shield TV pricing. "Starting October 2, SHIELD Pro will be priced at $299. The cost of components, including memory, has increased substantially across the industry," a spokesperson told Ars.

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In a setback for publishers worried about the effects of AI search, a US federal judge has dismissed lawsuits filed by Chegg and Penske Media against Google. The companies accused Google of antitrust violations in products like AI overviews, which have led to decreasing traffic at numerous sites. However, US District Judge Amit Mehta has ruled that Google's conduct is not illegal under antitrust law.

The lawsuits were filed in 2025, and Google requested a dismissal earlier this year. Chegg, an education and learning platform, claimed in its lawsuit that Google illegally scraped its educational content. This allowed Gemini models to essentially recreate that content and reduce the site's traffic. Penske, which owns publications like Rolling Stone and Variety, filed a similar case that alleged lost traffic. Specifically, the publisher claimed it was unfair that sites indexed for organic search would also have their content harvested for AI answers, with no way to opt out.

These arguments did not sway the judge, who noted that Google's implicit agreement with websites is not legally relevant. "Plaintiffs have pleaded only that they have an ‘expectation’ that Google will send them search ​traffic if they make their content available for free," wrote Mehta. "But an expectation is not an agreement. It is simply how a general search engine works."

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Google promised Gemini 3.5 Pro in June, but it spent the summer trotting out smaller Flash models. Now, Google is ready to take on the frontier again with Gemini 4 Argon. The company claims this new AI offers industry-leading performance in coding, knowledge work, and cybersecurity, but you aren't allowed to use it yet.

While most of us will have to wait to test Gemini 4, Google says engineers inside the company are already using the new model extensively. Argon reportedly used "fleet-wide telemetry data" to help Google save 300 TiB of memory across its data centers. Meanwhile, Argon agents have been working to migrate C/C++ codebases to Rust across Google, including thousands of lines in the core re2 and libgav1 libraries and more than 800,000 lines in the Fuchsia OS Zircon kernel.

Google has also come armed with a raft of benchmarks to back up its claims. On the software engineering DeepSWE v1.1 benchmark, Gemini 4 Argon hits 77.9 percent, which is higher than GPT-6 Astra, Fable 5.1, and Opus 5.5. Google promises similar power across a range of long-horizon tasks, pointing to Argon's industry-leading score in the economic analysis Vals Index test.

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Google's shift to AI-powered search has upended the way the world's largest search engine generates web traffic, rankling large and small publishers alike. In recent months, the company has experimented with paying publishers when their content appears in AI answers, but a new report claims the payouts in this pilot program are miniscule. That has publishers in the program, as well as those watching from the sidelines, feeling skeptical.

According to The Information, Google has admitted about 100 publishers to the AI contribution pilot. The pitch is that websites can get payments from Google when their content materially contributes to Gemini-powered search results like an AI Overview. Google has long resisted the idea of direct payments to publishers, arguing that websites get traffic in exchange for allowing Google bots to scrape their content for use in search and knowledge graph tools. In the age of AI, that relationship is breaking down, hence the AI pilot.

So far, publishers aren't getting much for their trouble. The Information heard from several small and mid-sized publishers in the program that Google's AI payments are minuscule, equaling roughly one-tenth of one percent of their advertising revenue. These payments have been so disappointing that several larger publishers have reportedly declined to participate in the program. These publishers hope that by refusing to join the pilot, they can force Google to offer a more generous deal.

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