It seems like hardly a day goes by anymore without a new version of Google's Gemini AI landing, and sure enough, Google is rolling out a major update to its most powerful 2.5 Pro model. This release is aimed at fixing some problems that cropped up in an earlier Gemini Pro update, and the word is, this version will become a stable release that comes to the Gemini app for everyone to use.

The previous Gemini 2.5 Pro release, known as the I/O Edition, or simply 05-06, was focused on coding upgrades. Google claims the new version is even better at generating code, with a new high score of 82.2 percent in the Aider Polyglot test. That beats the best from OpenAI, Anthropic, and DeepSeek by a comfortable margin.

While the general-purpose Gemini 2.5 Flash has left preview, the Pro version is lagging behind. In fact, the last several updates have attracted some valid criticism of 2.5 Pro's performance outside of coding tasks since the big 03-25 update. Google's Logan Kilpatrick says the team has taken that feedback to heart and that the new model "closes [the] gap on 03-25 regressions." For example, users will supposedly see more creativity with better formatting of responses.

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It has become a common refrain during Google's antitrust saga: What happened to "don't be evil?" Google's unofficial motto has haunted it as it has grown ever larger, but a shareholder lawsuit sought to rein in some of the company's excesses. And it might be working. The plaintiffs in the case have reached a settlement with Google parent company Alphabet, which will spend a boatload of cash on "comprehensive" reforms. The goal is to steer Google away from the kind of anticompetitive practices that got it in hot water.

Under the terms of the settlement, obtained by Bloomberg Law, Alphabet will spend $500 million over the next 10 years on systematic reforms. The company will have to form a board-level committee devoted to overseeing the company's regulatory compliance and antitrust risk, a rarity for US firms. This group will report directly to CEO Sundar Pichai. There will also be reforms at other levels of the company that allow employees to identify potential legal pitfalls before they affect the company. Google has also agreed to preserve communications. Google's propensity to use auto-deleting chats drew condemnation from several judges overseeing its antitrust cases.

The agreement still needs approval from US District Judge Rita Lin in San Francisco, but that's mainly a formality at this point. Naturally, Alphabet does not admit to any wrongdoing under the terms of the settlement, but it may have to pay tens of millions in legal fees on top of the promised $500 million investment.

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Every smartphone maker is racing to find a way to put AI in your pocket, but no one has cracked the code yet. Samsung was an early supporter of Google's Gemini AI, which has largely supplanted its little-used Bixby assistant. However, a new report claims Samsung is planning a big AI shakeup by partnering with Perplexity on the Galaxy S26.

Perplexity pitches itself as an AI-powered search service, running on the same generative AI technology behind ChatGPT, Gemini, and all the others. However, it cites its sources around the web more prominently than a pure chatbot. Perplexity made waves during the Google search antitrust trial when executive Dmitry Shevelenko testified that Google blocked Motorola from using Perplexity on its 2024 phones. The company got its wish this year, though, with Perplexity finding a place on 2025 Razr phones.

A report from Bloomberg says Samsung will be the next to leverage Perplexity's AI. The companies are apparently close to signing a deal that will make this AI model a core part of the Galaxy S26 lineup. Motorola uses Perplexity for search functionality inside its Moto AI system, but the Samsung deal would be more comprehensive.

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The next version of Android is expected to hit Pixel phones in June, but it'll take longer for devices from other manufacturers to see the new OS. However, Samsung is making unusually good time this cycle. Owners of the company's Galaxy S25 phones can get an early look at One UI 8 (based on Android 16) in the new open beta program. Samsung promises a lot of upgrades, but it may not feel that way.

Signing up for the beta is a snap—just open the Samsung Members app, and the beta signup should be right on the main landing page. From there, the OTA update should appear on your device within a few minutes. It's pretty hefty at 3.4GB, but the installation is quick, and none of your data should be affected. That said, backups are always advisable when using beta software.

You must be in the US, Germany, Korea, or the UK to join the beta, and US phones must be unlocked or the T-Mobile variants. The software is compatible with the Galaxy S25, S25+, and S25 Ultra—the new S25 Edge need not apply (for now).

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The current incarnation of Google Photos was not Google's first image management platform, but it's been a big success. Ten years on, Google Photos remains one of Google's most popular products, and it's getting a couple of new features to celebrate its 10th year in operation. You'll be able to share albums a bit more easily, and editing tools are getting a boost with, you guessed it, AI.

Google Photos made a splash in 2015 when it broke free of the spiraling Google+ social network, offering people supposedly unlimited free storage for compressed images. Of course, that was too good to last. In 2021, Google began limiting photo uploads to 15GB for free users, sharing the default account level storage with other services like Gmail and Drive. Today, Google encourages everyone to pay for a Google One subscription to get more space, which is a bit of a bummer. Regardless, people still use Google Photos extensively.

According to the company, Photos has more than 1.5 billion monthly users, and it stores more than 9 trillion photos and videos. When using the Photos app on a phone, you are prompted to automatically upload your camera roll, which makes it easy to keep all your memories backed up (and edge ever closer to the free storage limit). Photos has also long offered almost magical search capabilities, allowing you to search for the content of images to find them. That may seem less impressive now, but it was revolutionary a decade ago. Google says users perform over 370 million searches in Photos each month.

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MOUNTAIN VIEW, Calif.—Get ready to see Android in a new-ish way. It's been 13 years since Google announced its Google Glass headset and 10 years since it stopped selling the device to consumers. There have been other attempts to make smart glasses work, but none of them have stuck. As simpler devices like the Meta Ray-Ban glasses have slowly built a following, Google is getting back into the smart glasses game. After announcing Android XR late last year, the first usable devices were on site at Google I/O. And you're not going to believe this, but the experience is heavily geared toward Gemini.

As Google is fond of pointing out, Android XR is its first new OS developed in the "Gemini era." The platform is designed to run on a range of glasses and headsets that make extensive use of Google's AI bot, but there were only two experiences on display at I/O: an AR headset from Samsung known as Project Moohan and the prototype smart glasses.

Moohan is a fully enclosed headset, but it defaults to using passthrough video when you put it on. If you've worn an Apple Vision Pro or a Meta Quest with newer software, you'll be vaguely familiar with how Moohan works. Indeed, the interactions are consistent and intuitive. You can grab, move, and select items with the headset's accurate hand tracking. With Android XR, you also get access to the apps and services you've come to know from Google. Outside of games and video experiences, content has been a problem on other headsets.

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The rapid expansion of generative AI has changed the way Google and other tech giants design products, but most of the AI features you've used are running on remote servers with a ton of processing power. Your phone has a lot less power, but Google appears poised to give developers some important new mobile AI tools. At I/O next week, Google will likely announce a new set of APIs to let developers leverage the capabilities of Gemini Nano for on-device AI.

Google has quietly published documentation on big new AI features for developers. According to Android Authority, an update to the ML Kit SDK will add API support for on-device generative AI features via Gemini Nano. It's built on AI Core, similar to the experimental Edge AI SDK, but it plugs into an existing model with a set of predefined features that should be easy for developers to implement.

Google says ML Kit’s GenAI APIs will enable apps to do summarization, proofreading, rewriting, and image description without sending data to the cloud. However, Gemini Nano doesn't have as much power as the cloud-based version, so expect some limitations. For example, Google notes that summaries can only have a maximum of three bullet points, and image descriptions will only be available in English. The quality of outputs could also vary based on the version of Gemini Nano on a phone. The standard version (Gemini Nano XS) is about 100MB in size, but Gemini Nano XXS as seen on the Pixel 9a is a quarter of the size. It's text-only and has a much smaller context window.

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For phone nerds who've been around the block a few times, the original Motorola Razr is undeniably iconic. The era of foldables has allowed Motorola to resurrect the Razr in an appropriately flexible form, and after a few generations of refinement, the 2025 Razrs are spectacular pieces of hardware. They look great, they're fun to use, and they just about disappear in your pocket.

The new Razrs also have enormous foldable OLEDs, along with external displays that are just large enough to be useful. Moto has upped its design game, offering various Pantone shades with interesting materials and textures to make the phones more distinctive, but Motorola's take on mobile AI could use some work, as could its long-term support policy. Still, these might be the coolest phones you can get right now.

An elegant tactile experience

Many phone buyers couldn't care less about how a phone's body looks or feels—they'll just slap it in a case and never look at it again. Foldables tend not to fit as well in cases, so the physical design of the Razrs is important. The good news is that Motorola has refined the foldable formula with an updated hinge and some very interesting material choices.

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Google's DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve, is based on the company's Gemini large language models (LLMs), with the addition of an "evolutionary" approach that evaluates and improves algorithms across a range of use cases.

AlphaEvolve is essentially an AI coding agent, but it goes deeper than a standard Gemini chatbot. When you talk to Gemini, there is always a risk of hallucination, where the AI makes up details due to the non-deterministic nature of the underlying technology. AlphaEvolve uses an interesting approach to increase its accuracy when handling complex algorithmic problems.

According to DeepMind, this AI uses an automatic evaluation system. When a researcher interacts with AlphaEvolve, they input a problem along with possible solutions and avenues to explore. The model generates multiple possible solutions, using the efficient Gemini Flash and the more detail-oriented Gemini Pro, and then each solution is analyzed by the evaluator. An evolutionary framework allows AlphaEvolve to focus on the best solution and improve upon it.

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The antitrust trial targeting Google's search business is heading into the home stretch, and the outcome could forever alter Google—and the web itself. The company is scrambling to protect its search empire, but perhaps market forces could pull the rug out from under Google before the government can. Apple SVP of Services Eddie Cue suggested in his testimony on Wednesday that Google's search traffic might be falling. Not so fast, says Google.

In an unusual move, Google issued a statement late in the day after Cue's testimony to dispute the implication that it may already be losing its monopoly. During questioning by DOJ attorney Adam Severt, Cue expressed concern about losing the Google search deal, which is a major source of revenue for Apple. This contract, along with a similar one for Firefox, gives Google default search placement in exchange for a boatload of cash. The DOJ contends that is anticompetitive, and its proposed remedies call for banning Google from such deals.

Surprisingly, Cue noted in his testimony that search volume in Safari fell for the first time ever in April. Since Google is the default search provider, that implies fewer Google searches. Apple devices are popular, and a drop in Google searches there could be a bad sign for the company's future competitiveness. Google's statement on this comes off as a bit defensive.

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OnePlus undoubtedly hoped the release of its newest smartwatch had gone smoother. After delaying the launch, the company released the watch right at the peak of tariff drama. The watch debuted at a higher $500 price in the US, but OnePlus now says that after some adjustments, it is able to bring the price down by $150, and it's staying there.

OnePlus, which is part of the Chinese megacorp Oppo, announced the OnePlus Watch 3 in early 2025. The first batch of units to roll off the line went out to reviewers, who promptly noticed that the underside featured a prominent typo, reading "Meda in China" instead of "Made in China." OnePlus delayed the release to fix the issue.

That brings us to early April and the onslaught of tariffs, which are still hanging over the US economy. OnePlus finally released the watch, but it did so with a $500 price tag "due to the current market conditions."

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Google's oldest smart thermostats have an expiration date. The company has announced that the first and second generation Nest Learning Thermostats will lose support in October 2025, disabling most of the connected features. Google is offering some compensation for anyone still using these devices, but there's no Google upgrade for European users. Google is also discontinuing its only European model, and it's not planning to release another.

Both affected North American thermostats predate Google's ownership of the company, which it acquired in 2014. Nest released the original Learning Thermostat to almost universal praise in 2011, with the sequel arriving a year later. Google's second-gen Euro unit launched in 2014. Since launch, all these devices have been getting regular software updates and have migrated across multiple app redesigns. However, all good things must come to an end.

As Google points out, these products have had a long life, and they're not being rendered totally inoperable. Come October 25, 2025, these devices will no longer receive software updates or connect to Google's cloud services. That means you won't be able to control them from the Google Home app or via Assistant (or more likely Gemini by that point). The devices will still work as a regular dumb thermostat to control temperature, and scheduling will remain accessible from the thermostat's screen.

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You may not use Gemini or other AI products, but many people do, and their ranks are growing. During day three of Google's antitrust remedies trial, the company presented a slide showing that Gemini reached 350 million monthly active users as of March 2025. That's a massive increase from last year, showing that Google is beginning to gain traction among competing chatbots, but Google's estimation of ChatGPT's traffic shows it still has a long climb ahead of it.

The slide was presented during the testimony of Sissie Hsiao, who until recently was leading Google's Gemini efforts. She was replaced earlier this month by Josh Woodward, who also runs Google Labs. The slide listed Gemini's 350 million monthly users, along with daily traffic of 35 million users.

These numbers represent a huge increase for Gemini, which languished in the tens of millions of monthly users late last year. Gemini's daily user count at the time was a mere 9 million, according to Google. Since then, Google has released its Gemini 2.0 and 2.5 models, both of which have shown demonstrable improvements over the previous iterations. It has also begun adding Gemini features to more parts of the Google ecosystem, even though some of those integrations can be more frustrating than useful.

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The remedy phase of Google's antitrust trial is underway, with the government angling to realign Google's business after the company was ruled a search monopolist. The Department of Justice is seeking a plethora of penalties, but perhaps none as severe as forcing Google to sell Chrome. But who would buy it? An OpenAI executive says his employer would be interested.

Among the DOJ's witnesses on the second day of the trial was Nick Turley, head of product for ChatGPT at OpenAI. He wasn't there to talk about Chrome exclusively—the government's proposed remedies also include forcing Google to share its search index with competitors.

OpenAI is in bed with Microsoft, but Bing's search data wasn't cutting it, Turley suggested (without naming Microsoft). "We believe having multiple partners, and in particular Google's API, would enable us to provide a better product to users," OpenAI told Google in an email revealed at trial. However, Google turned OpenAI down because it believed the deal would harm its lead in search. The companies have no ongoing partnership today, but Turley noted that forcing Google to license its search data would restore competition.

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Google has made an unusual announcement about browser cookies, but it may not come as much of a surprise given recent events. After years spent tinkering with the Privacy Sandbox, Google has essentially called it quits. According to Anthony Chavez, VP of the company's Privacy Sandbox initiative, Google won't be rolling out a planned feature to help users disable third-party cookies. Instead, cookie support will remain in place as is, possibly forever.

Beginning in 2019, Google embarked on an effort under the Privacy Sandbox banner aimed at developing a new way to target ads that could preserve a modicum of user privacy. This approach included doing away with third-party cookies, small snippets of code that advertisers use to follow users around the web.

Google struggled to find a solution that pleased everyone. Its initial proposal for FLoC (Federated Learning of Cohorts) was widely derided as hardly any better than cookies. Google then moved on to the Topics API, but the company's plans to kill cookies have been delayed repeatedly since 2022.

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Google may have finally found an application of large language models (LLMs) that even AI skeptics can get behind. The company just released its 2024 Ads Safety report, confirming that it used a collection of newly upgraded AI models to scan for bad ads. The result is a huge increase in suspended spammer and scammer accounts, with fewer malicious ads in front of your eyeballs.

While stressing that it was not asleep at the switch in past years, Google reports that it deployed more than 50 enhanced LLMs to help enforce its ad policy in 2024. Some 97 percent of Google's advertising enforcement involved these AI models, which reportedly require even less data to make a determination. Therefore, it's feasible to tackle rapidly evolving scam tactics.

Google says that its efforts in 2024 resulted in 39.2 million US ad accounts being suspended for fraudulent activities. That's over three times more than the number of suspended accounts in 2023 (12.7 million). The factors that trigger a suspension usually include ad network abuse, improper use of personalization data, false medical claims, trademark infringement, or a mix of violations.

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Google has announced that yet another AI model is coming to Gemini, but this time, it's more than a chatbot. The company's Veo 2 video generator is rolling out to the Gemini app and website, giving paying customers a chance to create short video clips with Google's allegedly state-of-the-art video model.

Veo 2 works like other video generators, including OpenAI's Sora—you input text describing the video you want, and a Google data center churns through tokens until it has an animation. Google claims that Veo 2 was designed to have a solid grasp of real-world physics, particularly the way humans move. Google's examples do look good, but presumably that's why they were chosen.

Prompt: Aerial shot of a grassy cliff onto a sandy beach where waves crash against the shore, a prominent sea stack rises from the ocean near the beach, bathed in the warm, golden light of either sunrise or sunset, capturing the serene beauty of the Pacific coastline.

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The Internet might look a bit different on Android soon. Last month, Google announced its intent to make Chrome for Android a more immersive experience by hiding the navigation bar background. The promised edge-to-edge update is now rolling out to devices on Chrome version 135, giving you a touch more screen real estate. However, some websites may also be a bit harder to use.

Moving from button to gesture navigation reduced the amount of screen real estate devoted to the system UI, which leaves more room for apps. Google's move to a "dynamic bottom bar" in Chrome creates even more space for web content. When this feature shows up, the pages you visit will be able to draw all the way to the bottom of the screen instead of stopping at the navigation area, which Google calls the "chin."

Credit: Google

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Google made waves with the release of Gemini 2.5 last month, rocketing to the top of the AI leaderboard after previously struggling to keep up with the likes of OpenAI. That first experimental model was just the beginning. Google is deploying its improved AI in more places across its ecosystem, from the developer-centric Vertex AI to the consumer Gemini app.

Gemini models have been dropping so quickly, it can be hard to grasp Google's intended lineup. Things are becoming clearer now that the company is beginning to move its products to the new branch. At the Google Cloud Next conference, it has announced initial availability of Gemini 2.5 Flash. This model is based on the same code as Gemini 2.5 Pro, but it's faster and cheaper to run.

You won't see Gemini 2.5 Flash in the Gemini app just yet—it's starting out in the Vertex AI development platform. The experimental wide release of Pro helped Google gather data and see how people interacted with the new model, and that has helped inform the development of 2.5 Flash.

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Google has unveiled a new AI processor, the seventh generation of its custom TPU architecture. The chip, known as Ironwood, was reportedly designed for the emerging needs of Google's most powerful Gemini models, like simulated reasoning, which Google prefers to call "thinking." The company claims this chip represents a major shift that will unlock more powerful agentic AI capabilities. Google calls this the "age of inference."

Whenever Google talks about the capabilities of a new Gemini version, it notes that the model's capabilities are tied not only to the code but to Google's infrastructure. Its custom AI hardware is a key element of accelerating inference and expanding context windows. With Ironwood, Google says it has its most scalable and powerful TPU yet, which will allow AI to act on behalf of a user to proactively gather data and generate outputs. This is what Google means when it talks about agentic AI.

Ironwood delivers higher throughput compared to previous Google Tensor Processing Units (TPUs), and Google really plans to pack these chips in. Ironwood is designed to operate in clusters of up to 9,216 liquid-cooled chips, which will communicate directly with each other through a newly enhanced Inter-Chip Interconnect (ICI).

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