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AI NewsGoogle’s AI Studio now lets anyone build Android apps in minutes

Google’s AI Studio now lets anyone build Android apps in minutes

2:51 AM IST · May 20, 2026

Google’s AI Studio now lets anyone build Android apps in minutes

The AI coding boom is now coming directly for Android app development. On Tuesday, Googleannouncednew native Android app creation capabilities in its web-basedGoogle AI Studio,shrinking a process that takes weeks of setup and coding down to minutes. The company also said that consumers will be able to use Gemini AI to find the apps they need, both on the Play Store and the web, expanding opportunities for developers to have their apps discovered. Google says the new capabilities could make sense for anyone from a seasoned developer looking to prototype a new app quickly to a first-time creator. By offering the ability to essentially vibe-code Android apps via web-based tools, Google is ramping up the competition with other AI-powered development tools, like Cursor, Replit, Lovable, Claude Code, and others, while also opening up Android development to a new type of user: a non-technical creator. The news also represents an expansion of Google’s earlier addition ofAI-powered coding with Geminiin itsdesktop versionof Android Studio. The apps are built with theKotlinprogramming language using Google’s Jetpack Compose toolkit and with support integration with hardware sensors like GPS, Bluetooth, and NFC, the company says. However, the resulting creations, for now, are only meant to be used personally, as publishing for family and friends is still on the roadmap. The company suggests the technology could be used for the creation of personal utilities and simple social apps, hardware-enabled experiences, or AI-powered experiences. For now, would-be app developers can use the embedded Android Emulator directly in a web browser to preview and interact with the app as it’s being built. Users can then install the app on their Android phone over a USB cable connected to their computer, using the integrated Android Debug Bridge (adb). For those looking to take their project further,AI Studiocan automatically create the app record, package the bundle, and upload it to an internal testing track inGoogle Play Consolefor developers. This allows users to continue to iterate on their app while updating on their devices along the way. Those who want to take the next steps to publishing the app more publicly can hand off this version of the project to Android Studio by downloading a zip file and exporting it directly to GitHub. In time, Google plans to allow creators to publish their apps for use by family and friends and will add support for Firebase integrations (Firestore, Firebase Auth, Firebase App Check, and other tooling). In doing so, the company is imagining an Android app ecosystem where users find apps from among their own network of friends, not just the Play Store. However, for the latter, Google is infusing AI into the experience here, too. A new “Ask Play” AI-powered overlay will allow users to discover new apps by having natural conversations with AI within the Play Store. Perhaps more importantly, apps will begin to be surfaced with users’ conversations with Google’s Gemini virtual assistant, exposing developers’ apps to millions of users. This will roll out in the weeks ahead across Gemini on the web and on Android. Later this year, Gemini will also surface over 450,000 movies and TV shows, plus where to livestream sports, which can directly link users from their queries to a developer’s Android app with the content in question. While Google previewed a number ofAndroid-related announcements last week, it held back on sharing the news of the native Android app development until Tuesday’s start of its annual developer conference, Google I/O. That suggests the company believes this is bigger news and more closely tied to its idea of putting AI to real-world use, as was the larger theme of this year’s event, where AI was spread across Google products, from workspace productivity apps to AI tools, search, mobile apps, and more.

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In the Weights is your new AI-centric vanity search

In the Weights is your new AI-centric vanity search

Anyone who’s Googled themselves recently knows that it doesn’t quite hit the way it used to. Sure, there’severything going on with Google search itself, but there’s also an inescapable feeling that web search isn’t the canonical source of information that it used to be, with just as many people learning about who you and I might be from chatbots. Thomas Dimson and Joey Flynn had a similar feeling, leading them to createIn the Weights. The“weights”in question are the numerical parameters that shape an AI model’s training and output, so the websitepurportsto measure how well “a model is able to recall someone without using tools like web search.” “Being in the weights means your existence was deemed important in the process of creating superhuman artificial intelligence,” the website says. To achieve this, In the Weights supposedly queries different models (including Grok, Gemini, multiple versions of GPT, Claude, and Llama, plus lesser known models) with a question similar to, “Who is <name>? Give up to 10 results, each with a short description and confidence.” It then “cluster[s] similar descriptions together and assign[s] a strength score.” For example,this humble tech bloggerreceived a strength score of 641, placing me in the top 6% of names. I was feeling pretty good until I saw thatmultipleTechCrunchcolleaguesscored even higher. And theleaderboardhas been shifting as I write this post, with “Home Alone” star Macaulay Culkin currently in the top slot with a strength score of 988, neck-and-neck with opera singer Luciano Pavarotti. The results also show which models returned which answers for a given name, and they highlight potential hallucinations — apparently GPT-5.4 Mini says that Anthony Ha is an “ambiguous name form that could refer to multiple people with the initials A.H.A.” Asked why he built In the Weights, Dimson told TechCrunch via email that he and Flynn were looking to “get the creative juices flowing again” after leaving OpenAI (which they both joined throughthe acquisition of their design startup Global Illumination). Dimson said he was thinking about how “Google vanity searches are the wrong objective in 2026 as more traffic moves to LLMs” and about the fact that “so many lives are encoded somehow in a bunch of floating point numbers inside the AI brain.” He also said the direction of the site was “sealed” bya tongue-in-cheek blog postriffing on AI weights and Terry Bisson’s classic short story“They’re Made Out of Meat.” “Reception has been insane so far, we thought this would be a mild curiosity but it seems like it has struck a nerve of wanting to see if you live forever in the super intelligence (the comparison factor doesn’t hurt either!)” Dimson added. While I’m not as convinced that being “remembered” by a chatbot is a guaranteed ticket to immortality, I can’t deny that I find the results both intriguing and jealousy-inducing, especially since they’re codified in an easy-to-compare score. (AI critic Anthony Moserscoffedthat this is “literally the same as asking 13 chatbots to tell you about yourself.”) Also helping: The fact that the site features a cute,Nintendo-inspiredretro design. Dimson said he plans to dig in further into why different models in the same series return different results, which models are biased towards different types of people, and which people “should have a Wikipedia article but don’t.”

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Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’

Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’

Asked about the privacy implications of chatbots like ChatGPT and Claude, Signal President Meredith Whittaker answered, “These are not your friends. These are not conscious beings. These are not sentient interlocutors.” Whittaker made those comments ina broader interview with Bloombergabout policy, privacy, and Signal. She acknowledged that she uses AI tools “to format a document here and there,” but insisted, “I don’t ask them questions. I’m very serious about my thinking and writing, and I don’t want the process of working through an idea […] to be foreclosed or eclipsed by the response of a system that’s averaging what’s already out there.” As for Microsoft AI CEOMustafa Suleyman’s predictionthat users could let Microsoft Copilot handle all their Christmas shopping this year, Whittaker argued this scenario — where Copilot is eavesdropping on the family group chat to determine who wants want — means giving it “access to my credit card, my browser, my Signal, the ability to message my siblings on my behalf, my home address [and] my calendar.” “What you’ve just described is a system with very pervasive access across multiple applications and services,” Whittaker said. “In the context of Signal, it would constitute a kind of a backdoor.”

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Nobel laureate John Jumper is leaving DeepMind for rival Anthropic

Nobel laureate John Jumper is leaving DeepMind for rival Anthropic

John Jumper, who shared a recent Nobel Prize in chemistry, announced Friday that he’s making the leap to Anthropic after “nearly 9 years” at Google DeepMind. Ina post on X, Jumper wrote that DeepMind CEO Demis Hassabis “took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science.” Jumper (pictured above right, with Hassabis) added, “GDM is a special place, and I’ll still be excited to hear about what amazing things they discover next.” Bloomberg reports that Jumper wasa key member of Google’s team developing coding tools, which the company has struggled to sell to businesses. Character AI co-founder Noam Shazeer also announced this week thathe’s leaving DeepMind— though in Shazeer’s case, he’s joining OpenAI. Jumper and Hassabis won the Nobel Prize in 2024for their work on AlphaFold, an AI model that can predict the 3D structure of proteins based on their genetic sequences.

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Nobel-Winning AlphaFold Scientist John Jumper Leaves Google DeepMind for Anthropic

Nobel-Winning AlphaFold Scientist John Jumper Leaves Google DeepMind for Anthropic

For his work on AlphaFold, Jumper shared the 2024 Nobel Prize in Chemistry with Demis Hassabis and scientist David Baker.

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