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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There aren't many phones these days that come with a stylus, and those that do tend to be very expensive. If you can't swing a Galaxy S25 Ultra, Motorola's G Stylus lineup could be just what you need. The new 2025 Moto G Stylus is now official, featuring several key upgrades while maintaining the same $400 price tag.

The Moto G Stylus 2025 sticks with the style Motorola has cultivated over recent years, with a contoured vegan leather back. It comes in two Pantone colors called Gibraltar Sea and Surf the Web—one is dark blue and the other is a lighter, more vibrant blue. They look like fun colors. Moto's language makes it sound like there could be more colors down the road, too.

The spec sheet paints a picture of a solid mobile device, but it won't exceed expectations. Motorola moved to a Snapdragon 6 Gen 3 processor, which runs at a slightly higher clock speed than the Gen 1 it used in the 2024 model. It also has 8GB of RAM and 128GB of storage in the base model. An upgraded version with 256GB of storage and the same 8GB of RAM will be available, too.

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Google was caught flat-footed by the sudden skyrocketing interest in generative AI despite its role in developing the underlying technology. This prompted the company to refocus its considerable resources on catching up to OpenAI. Since then, we've seen the detail-flubbing Bard and numerous versions of the multimodal Gemini models. While Gemini has struggled to make progress in benchmarks and user experience, that could be changing with the new 2.5 Pro (Experimental) release. With big gains in benchmarks and vibes, this might be the first Google model that can make a dent in ChatGPT's dominance.

We recently spoke to Google's Tulsee Doshi, director of product management for Gemini, to talk about the process of releasing Gemini 2.5, as well as where Google's AI models are going in the future.

Welcome to the vibes era

Google may have had a slow start in building generative AI products, but the Gemini team has picked up the pace in recent months. The company released Gemini 2.0 in December, showing a modest improvement over the 1.5 branch. It only took three months to reach 2.5, meaning Gemini 2.0 Pro wasn't even out of the experimental stage yet. To hear Doshi tell it, this was the result of Google's long-term investments in Gemini.

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As AI hype permeates the Internet, tech and business leaders are already looking toward the next step. AGI, or artificial general intelligence, refers to a machine with human-like intelligence and capabilities. If today's AI systems are on a path to AGI, we will need new approaches to ensure such a machine doesn't work against human interests.

Unfortunately, we don't have anything as elegant as Isaac Asimov's Three Laws of Robotics. Researchers at DeepMind have been working on this problem and have released a new technical paper (PDF) that explains how to develop AGI safely, which you can download at your convenience.

It contains a huge amount of detail, clocking in at 108 pages before references. While some in the AI field believe AGI is a pipe dream, the authors of the DeepMind paper project that it could happen by 2030. With that in mind, they aimed to understand the risks of a human-like synthetic intelligence, which they acknowledge could lead to "severe harm."

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Most of Google's AI efforts thus far have involved adding generative features to existing products, but NotebookLM is different. Created by the Google Labs team, NotebookLM uses AI to analyze user-provided documents. Starting today, it will be even easier to use NotebookLM to explore topics, as Google has added a "Discover Sources" feature to let the app look up its own sources.

Previously, to create a new notebook, you had to feed the AI documents, web links, YouTube videos, or raw text. You can still do that, but you don't have to with the addition of Discover functionality. Simply click the new button and tell NotebookLM what you're interested in learning. Google says the app will consider "hundreds of potential web sources" in the blink of an eye, giving you the top 10 from which to choose. There will be links available so you can peruse the suggestions before adding them to the model.

The sources you select will be ingested as if they were documents you uploaded, creating a conversant AI for your chosen topic. The content of those sources will also be loaded into NotebookLM so you can refer to them directly. That's not why you use NotebookLM, though. You use NotebookLM for all the nifty AI-assisted features.

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On the heels of releasing its most capable AI model yet, Google is making some changes to the Gemini team. A new report from Semafor reveals that longtime Googler Sissie Hsiao will step down from her role leading the Gemini team effective immediately. In her place, Google is appointing Josh Woodward, who currently leads Google Labs.

According to a memo from DeepMind CEO Demis Hassabis, this change is designed to "sharpen our focus on the next evolution of the Gemini app." This new responsibility won't take Woodward away from his role at Google Labs—he will remain in charge of that division while leading the Gemini team.

Meanwhile, Hsiao says in a message to employees that she is happy with "Chapter 1" of the Bard story and is optimistic for Woodward's "Chapter 2." Hsiao won't be involved in Google's AI efforts for now—she's opted to take some time off before returning to Google in a new role.

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