Want to get featured here? Explore premium visibility opportunities.

Contact us

AI NewsGoogle Search as you know it is over

Google Search as you know it is over

2:51 AM IST · May 20, 2026

Google Search as you know it is over

The era of the “ten blue links” is officially over. At its Google I/O conference on Tuesday, Google unveiled an AI-powered overhaul of Search centered around a reimagined “intelligent search box” — what the company describes as the biggest change to this entry point to the web since the search box debuted more than 25 years ago. Instead of returning a simple list of links, Google Search will drop users into AI-powered interactive experiences at times. Google is also introducing tools that can dispatch “information agents” to gather information on a user’s behalf, along with tools that let users build personalized mini apps tailored to their needs. Loading the player
 The resulting experience will no longer look much like how people envision Google Search, which has long been defined by ranked links to websites that have the information you need. With the revamped Search experience, the new search box simply expands to accommodate longer, more conversational queries, rather than making you decide what type of search experience or mode you want to choose at the start of your query. It will also have a new AI-powered query suggestion system that goes beyond autocomplete to help people craft more complex and nuanced queries, Google says. Google’s AI Overviews will also allow users to ask follow-up questions in AI Mode, beginning Tuesday, the company noted. Google is also introducing agentic capabilities and AI-powered interactive features into the search experience. This means people will spend even less time clicking the traditional blue links that Google Search used to return. Starting this summer, people will be able to create, customize, and manage multiple new “information agents” within Google Search. These agents can work in the background 24/7 to track changes on the web and alert you to new information. For instance, you could have an agent track market movements based on customer parameters, Google suggests. While the underlying technology here is powered by AI, which makes it more capable, the idea itself is not a new one. In 2003, Google launchedGoogle Alerts, a change-detection service that emailed users when new web results matched their search terms. The web was smaller and more manageable then, of course, so this became a part of many information workers’ tool sets. (That service still existsin some form but is no longer the way most web users go about acquiring new information.) Information-gathering agents are an evolution of Google Alerts. Beyond spotting changes, they can make sense of them, too. “You could send an alert to track market movements in a particular sector with very specific parameters, and the agent will map out a monitoring plan for you, including the tools and the data it needs to access — like our real-time finance data,” Google’s head of Search, Liz Reid, explained in a press briefing. “And it will then keep track of those changes and let you know when the conditions are met, and provide a synthesized update with links and information you can dive into further,” she added. This shift means that “searching the web” will increasingly be performed by AI agents rather than humans. Instead, people will focus more on acting on the information those agents provide instead of manually clicking links. Links will become an afterthought with the coming changes to the Search results experience, which builds on Google’s earlier launches of AI search features, like its short summaries known as AI Overviews and its conversational search, AI Mode. AI Overviews are now used by more than 2.5 billion monthly users; meanwhile, its conversational search mode, launched last year, now tops 1 billion monthly users. (ChatGPT, for comparison, has900 million weekly active users, as of earlier this year. This suggests that ChatGPT is now seeing more frequent engagement, with users coming back repeatedly throughout the week, while Google has more total unique people touching its AI features over the course of a month.) Now, thanks to a combination of Gemini andGoogle Antigravity, the company’s agentic development platform, Search results will begin to look more like interactive web pages. “Search can build custom experiences just for your individual questions, from dynamic layouts, interactive visuals to persistent and stateful project spaces that you can return to again and again,” says Reid. One of the ways Google is integrating these new capabilities is with “generative UI” (user interface), where it builds custom widgets and visualizations on the fly in answer to users’ search questions. You can imagine, for example, how a question about black holes in space could lead to an interactive visual that brings the concept to life, Reid said, adding that users can then ask follow-up questions and see Google respond with brand-new visuals in real time. Google says the new system was built in partnership with the Google DeepMind team and uses Gemini Flash 3.5. It will roll out to everyone who uses Google, free of charge, this summer. In addition, Google will allow users to tap into Antigravity to build their own customizable, stateful experiences — think “mini apps” — directly in Search using natural-language commands. Again, this isn’t so much about information retrieval as it is about action. For instance, you could build a meal-planning app using information from your own calendar to help you decide what to prep and when to eat, or a fitness app created for your specific goals. Combined, these changes will likely further decimate Google referrals to publishers, which have already been suffering from declining referrals due to AI Overviews. This has put some ad-dependent media operations out of business, and now things will likely get worse. There’s little time left for publishers to adapt. The new search box is arriving this week, and generative UI is arriving this summer. Both are free. The mini-app-building feature and information agents will roll out first to Google AI Pro and Ultra subscribers this summer. But Google’s long-term plan is to make its AI technology more broadly accessible, including its personal AI agent Spark, which will eventually be free, as will many of the AI features. “Part of the reason we focus on delivering frontier models — highly capable, but also very efficient, fast, and at a lower price — is because we want to bring it to as many people as possible, and so I think that’s an area where we will shine,” Google CEO Sundar Pichai said in a press briefing ahead of I/O.

read more

Latest AI News

View All News →
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.”

3 hours ago

View

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.”

3 hours ago

View

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.

7 hours ago

View

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.

15 hours ago

View