Google's $15 billion data-center project in Visakhapatnam is facing protests and legal challenges over fears that it will worsen local water shortages and disturb wildlife near the Kambalakonda sanctuary. Google says the campus will use advanced air cooling and comply with Indian law, while state officials deny that residential or rural water supplies will be tapped. Reuters reports: The southern state of Andhra Pradesh, governed by an ally of Prime Minister Narendra Modi who has hailed the project as historic and transformational, has denied allegations that the project was fast-tracked without weighing risks to water supplies and wildlife. But the growing opposition could become an early test for Google's biggest-ever India investment, which is facing several legal challenges over its impact on water supplies and proximity to a wildlife sanctuary that is home to leopards and pangolins. In recent weeks, activists and children have marched in Visakhapatnam city, holding banners saying "We cannot drink DATA" and painting handcuffs on the Google logo, social media posts show. On Sunday, Reuters attended a public gathering where activists chalked out plans for holding door-to-door awareness campaigns and beach protests in coming days. "Development should not be at the cost of livelihood of the people," Raja Rama Mohan Roy, founder of non-profit Green Visakha said at the event where he presented statistics on Visakhapatnam's stressed water supply and demand. The government says the city receives 410 million liters of water a day from its reservoirs and rivers, against a requirement of 480 million. Rationing of water supplies is common in the city with a population of 2.5 million people. [...] The state's top court on Monday asked the government to defend against allegations leveled by activist group Jal Biradari (Water Community), which says the project will strain water availability by putting stress on a nearby reservoir. The Andhra Pradesh High Court will next hear the public interest litigation on August 24.

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Google is reshuffling its AI leadership as Demis Hassabis steps away from day-to-day management of DeepMind to become chairman and Alphabet's chief scientist, while CTO Koray Kavukcuoglu takes operational control. Meanwhile, longtime chief scientist Jeff Dean and several prominent researchers are leaving to launch their own company. Axios reports: Hassabis will add the title of chief scientist for Google parent company Alphabet and also continue to lead Isomorphic Labs, the company's AI drug discovery spinoff. Koray Kavukcuoglu, the current chief technology officer of Google DeepMind will serve as senior VP of the unit, reporting to CEO Sundar Pichai. Dean, a 27-year Google veteran is starting Discovery Loop, an independent publicity benefit corporation in which Google will be an investor and cloud provider. Joining him in that effort are Google senior fellow Sanjay Ghemawat as well as Oriol Vinyals, a DeepMind VP and Quoc Le, a Google Brain co-founder. [...] In an interview with The New York Times, Dean indicated that leaving Google, a public company, gives him more leeway to focus on scientific discoveries associated with AI as well. "We might make decisions that are not necessarily in the company's purist financial interests," he told NYT. "I've been working towards AGI my whole life and now, like many of you, I feel it is close at hand," Hassabis wrote. "It's critical that we collectively get the next steps right to ensure this all goes well for humanity and we usher in an incredible new age of discovery and wonder." "With this backdrop, I've decided that now is the right time for me to hand over my day-to-day operational responsibilities at GDM, so that I have the time and space to focus on the big picture and help influence what is to come to the best of my ability"

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"When a group of teenagers set out to hike British Columbia's famed Howe Sound Crest Trail in early July, Google Maps suggested the trek would take about five hours," reports SFGate. "Instead, the hike stretched deep into the night, leaving the group exhausted, dehydrated, injured and in need of a helicopter rescue..." Although the approximately 18-mile route with a 6,000-foot elevation gain can be completed by experienced trail runners in a day, search and rescue officials generally recommend hikers treat it as a two-day backpacking trip. The teenagers, all 17 years old, believed Google Maps' estimate that the route would take about five hours. The printed directions they were carrying, which were shared publicly by Lions Bay Search and Rescue, gave simple instructions for two legs of the trail, but didn't account for the terrain or elevation. "[Google Maps] is calculating the time that you're walking a straight road on pavement," [said Maria Masiar, training officer and search manager with Lions Bay Search and Rescue]. "When you get into outdoor terrain, that no longer holds true." Expecting only a short outing, each hiker carried about half a liter of water and limited food. There are no reliable water sources along the trail, meaning hikers must carry enough supplies for the entire route. As the group climbed, they began suffering from dehydration and muscle cramps but continued onward despite falling dramatically behind schedule. Eventually, the group made the decision to turn back and abandon making it to the end of the trail — and as the sun began to set and the group started to descend, fatigue took its toll. According to Masiar, members of the group had already stumbled and fallen several times while trying to race the coming dark, and only one hiker had a headlamp. Eventually, another hiker slipped about 10 feet off a boulder, injuring his tailbone badly enough that he could no longer continue. Search and rescue crews responded, ultimately evacuating him by helicopter.

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Google DeepMind's Gemini Robotics 2 combines vision, language, and action models to control multiple types of robots, including humanoids performing tasks such as organizing shelves, tying bags, and replacing lightbulbs. "It's another milestone in our path towards really getting towards what we call like physical AGI, which means we get a robot to do anything that a human can," Carolina Parada, head of robotics at Google DeepMind, tells WIRED. From the report: Gemini Robotics 2 combines several different AI models into a single system. Taken together, they allow a robot to make sense of its surroundings and how to act in it. A vision language model (VLM), which understands images and video, can communicate with humans and reason how to perform different tasks. Two vision language action (VLA) models, trained to understand how to move in physical space, control the robot's full-body movement as well as the movements of grippers or hands. In video demonstrations shared ahead of the release, the company showed several different robots performing complex tasks autonomously using the amalgamated model. In one demo, Apptronik's Apollo 2 robot used hands from a company called Sharpa to tidy shelves. Google DeepMind trained the model to perform these tasks using a mix of human teleoperation, video examples, and simulations -- it's not yet possible for AI models to perform a wide range of complex tasks without specific training. [...] Parada says Google takes a multi-layered approach to safety, with guardrails applied on each model layer. It's also introducing ASIMOV-Agentic, a new benchmark for measuring the safety of various AI systems collaborating to control a robot. The benchmark detects whether a command will result in harmful or uncertain outcome.

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An anonymous reader quotes a report from TechCrunch: Google is expanding its answer to Apple's age-assurance tools with Wednesday's news that it will bring its Play Signal API to users worldwide by the end of 2026. The technology, already available in Brazil, allows Android developers to identify younger users of their apps in order to provide safer, age-appropriate experiences. The expansion will initially bring the API to Australia and Canada by mid-August, before rolling out globally to all markets by the end of the year. [...] Like Apple, Google's technology allows developers to obtain a user's age range without needing to access personal information, like their date of birth. Instead, it enables parents to share their child's age range directly with apps. It also lets adults share their age when prompted by app developers as well, allowing for customized experiences. Parents won't have to manage sharing this information on an app-by-app basis, either. To make it easier, Google centralizes these controls inside its parental controls dashboard, Family Link. Once entered, any developer that chooses to incorporate age-range information can access this signal to customize their apps accordingly. Google notes, however, that the age ranges are not shared by default -- parents must opt in by entering that information. The feature joins other safety tools on Google Play, including those that let developers restrict a child's ability to discover their apps. Parents, meanwhile, can continue to use Google Play's Family Link app to manage their child's screen-time limits, approve app downloads, or set PIN-based content filters for specific apps.

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Google has dismantled the original AlphaFold team, according to Financial Times (paywalled), reassigning many researchers to Gemini and Isomorphic Labs. Several other key members, including Nobel laureate John Jumper, left for Anthropic. Engadget reports: AlphaFold is an AI program that can accurately predict three-dimensional structures of proteins from their amino acid sequences in minutes instead of years. It's now being used to accelerate drug discovery, develop vaccines and understand the structural changes in proteins associated with neurodegenerative diseases like Alzheimer's and Parkinson's. DeepMind started developing AlphaFold in 2018. In 2020, it was recognized as a solution to humanity's 50-year-old "protein folding problem," which sought to answer how amino acids automatically fold into complex 3D shapes. Those shapes determine the biological role of a protein. Scientists had identified the structures of roughly 170,000 proteins over the past 50 years, using tools and techniques like X-ray and nuclear magnetic resonance. The AlphaFold team took information from those previous work and then fed it to their AI to train AlphaFold. In 2021, Nature published the papers with AlphaFold's methodology and the structure predictions of the entire human proteome, or the complete set of proteins expressed by our species. DeepMind then launched the AlphaFold Protein Structure Database, giving researchers free access to over 200 million protein structure predictions. In 2024, DeepMind CEO Demis Hassabis and John Jumper, who was a staff research scientist when the project began and who eventually became a VP and engineering fellow, won the Nobel Prize in Chemistry for their work on AlphaFold.

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Futurism reports: [Some online publications] are now debating whether to cut Google off entirely, as the Wall Street Journal reports, illustrating an increasingly fraught relationship between the tech giant and the publishers that are creating content its AI models are regurgitating. According to the newspaper, prominent outlets including USA Today, Politico, the Economist, People, and Reuters are all reexamining their relationship with Google. Some are debating whether to continue to work with the tech giant at all... Even Reddit executives are reevaluating the company's $60 million-a-year contract that allows Google to train its AI models on user-submitted content on the platform. They've similarly watched as Google's AI features discourage users from navigating to Reddit... Beyond pondering whether to cut Google off, other publishers have resorted to suing the company, accusing it of illegally rehashing their intellectual property via AI summaries. It's an extremely undesirable position for publishers. By severing ties with the search giant, they could face even steeper declines in traffic. At the same time, there's seemingly little to gain from having Google's AIs crawl their content — and in the long term, it could guarantee their destruction. Two interesting data points from the article: "Last month, Cloudflare CEO Matthew Prince noticed that automated bot traffic had overtaken human traffic for the first time in the internet's history." "USA Today has seen its traffic from US users drop by almost half over the last year."

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Google Images is getting a Pinterest-like redesign that turns image search into a personalized discovery feed, with "For You" galleries, real-time updates, and collections for saving visual ideas. "Google is also adding a way for users to create AI images right in Search, as it celebrates 25 years since the debut of Google Images," reports TechCrunch. From the report: After navigating to the redesigned Google Images, users will see a "For You" gallery of images tailored to their interests and browsing history. Like Pinterest, the gallery is designed for continuous browsing, with Google saying it updates in real time with new images. As users browse, they can save ideas to their "collections," which will appear as tabs above the main gallery of photos. For example, users can create collections for things like vacation outfit ideas, travel inspiration, and ways to design a reading nook, which they can come back to later. [...] As for generating images directly in Search, Google says the feature is meant for moments when you have a highly specific idea for an image that doesn't already exist online. Google is bringing image generation directly into AI Overviews on Search and will use its latest Nano Banana model to transform a text prompt into a custom visual. The feature can also help users reimagine spaces and visualize ideas, such as seeing what a room might look like painted red or what a dorm room with a coastal theme could look like.

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Google says the World Cup drove Search to its highest usage in history, with queries per second peaking right after Argentina's winning goal against Egypt. CNBC reports: The milestone comes as the company tries to prove its traditional search engine can keep its relevance in the age of AI, where chatbots have become more prevalent. Google still controls 90% of the search market, its stock price has more than doubled in the past year and revenue growth in the first quarter was the fastest for any period since 2022. Google said its top searched query after the game was "argentina vs egypt." Globally, the company also saw people searching for things like "argentina x colombia" and "how many world cup goals does messi have." Additional queries included "what is it called when a player hits another player in game" and "is it messi's last world cup."

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Google has shut down the Tenor API, breaking GIF pickers in services that still relied on it and forcing platforms such as X to migrate elsewhere. 9to5Google notes that the library itself remains available at Tenor.com and "integrations within Google products are also still active, including Gboard, Google Messages, and more." From the report: The Tenor API has been rejecting new API sign-ups in January of this year, but existing integrations remained in place. This week, though, they're shutting down, and any integrations that remain in place will stop working on July 1. The support page adds details that "any API or Ads Distribution Agreements" with Tenor will be terminated on June 30, while "current integrations" will be "fully decommissioned" as of June 30. One of the most notable examples here is Twitter/X, which has relied on Tenor for its GIF picker for years. Twitter/X Head of Product Nikita Bier confirmed that the platform has migrated elsewhere, which is why the "recently used" section was purged, and why you might notice fewer GIF options when posting. Other platforms affected include Discord, WhatsApp, and Bluesky.

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An anonymous reader quotes a report from Ars Technica: Google spent the last few years locked in a legal grudge match with Epic Games, which claimed that Google's stewardship of the Play Store was anticompetitive. Now, the companies are thick as thieves, and Google is beginning to implement app store changes as agreed in its settlement with Epic. The lower developer fees and new payment options that Google promised are rolling out in select markets this month before expanding. [...] Starting on June 30, developers in Europe, the UK, and the US will have access to the new fee structure. This system will split the commission into two components: billing and service fees. The biggest win for small developers is the new flat 10 percent service fee for the first $1 million in earnings every year. Above that, the rate for various transaction types may reach 25 percent on existing installs. Apps installed after June 30 will top out at 20 percent. Developers will finally be allowed to send users outside the Play Store to complete a transaction, too. Google says they can design a choice screen "in accordance with our UX guidelines" to direct users to these external options. Devs pay the standard service fee on these purchases, but they'll avoid the billing fee. All transactions that run through Google's Play Store platform add a 5 percent billing fee -- even the base rate for publishers earning less than $1 million. Google notes that the billing fee is set at 5 percent in the initial markets, but it could be different in other regions. Google will expand the new fee structure globally through September 2027, while also offering reduced fees through updated developer programs. Although the changes may let developers retain more revenue, Google will continue controlling Android distribution and collecting a share of sales as it works toward allowing certified third-party app stores to operate more like the Play Store.

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