The U.S. unsealed charges against 16 individuals behind DanaBot, a malware-as-a-service platform responsible for over $50 million in global losses. "The FBI says a newer version of DanaBot was used for espionage, and that many of the defendants exposed their real-life identities after accidentally infecting their own systems with the malware," reports KrebsOnSecurity. From the report: Initially spotted in May 2018 by researchers at the email security firm Proofpoint, DanaBot is a malware-as-a-service platform that specializes in credential theft and banking fraud. Today, the U.S. Department of Justice unsealed a criminal complaint and indictment from 2022, which said the FBI identified at least 40 affiliates who were paying between $3,000 and $4,000 a month for access to the information stealer platform. The government says the malware infected more than 300,000 systems globally, causing estimated losses of more than $50 million. The ringleaders of the DanaBot conspiracy are named as Aleksandr Stepanov, 39, a.k.a. "JimmBee," and Artem Aleksandrovich Kalinkin, 34, a.k.a. "Onix," both of Novosibirsk, Russia. Kalinkin is an IT engineer for the Russian state-owned energy giant Gazprom. His Facebook profile name is "Maffiozi."

According to the FBI, there were at least two major versions of DanaBot; the first was sold between 2018 and June 2020, when the malware stopped being offered on Russian cybercrime forums. The government alleges that the second version of DanaBot -- emerging in January 2021 -- was provided to co-conspirators for use in targeting military, diplomatic and non-governmental organization computers in several countries, including the United States, Belarus, the United Kingdom, Germany, and Russia. The indictment says the FBI in 2022 seized servers used by the DanaBot authors to control their malware, as well as the servers that stored stolen victim data. The government said the server data also show numerous instances in which the DanaBot defendants infected their own PCs, resulting in their credential data being uploaded to stolen data repositories that were seized by the feds.

"In some cases, such self-infections appeared to be deliberately done in order to test, analyze, or improve the malware," the criminal complaint reads. "In other cases, the infections seemed to be inadvertent -- one of the hazards of committing cybercrime is that criminals will sometimes infect themselves with their own malware by mistake." A statement from the DOJ says that as part of today's operation, agents with the Defense Criminal Investigative Service (DCIS) seized the DanaBot control servers, including dozens of virtual servers hosted in the United States. The government says it is now working with industry partners to notify DanaBot victims and help remediate infections. The statement credits a number of security firms with providing assistance to the government, including ESET, Flashpoint, Google, Intel 471, Lumen, PayPal, Proofpoint, Team CYRMU, and ZScaler.

China has achieved substantial technological advances across robotics, AI, and semiconductor manufacturing as part of a seven-year self-reliance campaign that has tripled the country's research and development spending to $500 billion annually.

Chinese robot manufacturers captured nearly half of their domestic market by 2023, up from a quarter of installations just years earlier, while AI startups now rival OpenAI and Google in capabilities. The progress extends to semiconductors, where Huawei released a high-end smartphone powered by what industry analysts believe was a locally-produced advanced processor, despite U.S. export controls targeting China's chip access.

Morgan Stanley projects China's self-sufficiency in graphics processing units will jump from 11% in 2021 to 82% by 2027. Chinese companies have been purchasing as many industrial robots as the rest of the world combined, enabling highly automated factories that can operate in darkness. In space technology, Chinese firms won five of 11 gold medals when U.S. think tanks ranked the world's best commercial satellite systems last year, compared to four for American companies.

Anthropic launched Claude Opus 4 and Claude Sonnet 4 today, positioning Opus 4 as the world's leading coding model with 72.5% performance on SWE-bench and 43.2% on Terminal-bench. Both models feature hybrid architecture supporting near-instant responses and extended thinking modes for complex reasoning tasks.

The models introduce parallel tool execution and memory capabilities that allow Claude to extract and save key facts when given local file access. Claude Code, previously in research preview, is now generally available with new VS Code and JetBrains integrations that display edits directly in developers' files. GitHub integration enables Claude to respond to pull request feedback and fix CI errors through a new beta SDK.

Pricing remains consistent with previous generations at $15/$75 per million tokens for Opus 4 and $3/$15 for Sonnet 4. Both models are available through Claude's web interface, the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Extended thinking capabilities are included in Pro, Max, Team, and Enterprise plans, with Sonnet 4 also available to free users.

The startup, which counts Amazon and Google among its investors, said Claude Opus 4 could autonomously work for nearly a full corporate workday -- seven hours. CNBC adds: "I do a lot of writing with Claude, and I think prior to Opus 4 and Sonnet 4, I was mostly using the models as a thinking partner, but still doing most of the writing myself," Mike Krieger, Anthropic's chief product officer, said in an interview. "And they've crossed this threshold where now most of my writing is actually ... Opus mostly, and it now is unrecognizable from my writing."

Krieger added, "I love that we're kind of pushing the frontier on two sides. Like one is the coding piece and agentic behavior overall, and that's powering a lot of these coding startups. ... But then also, we're pushing the frontier on how these models can actually learn from and then be a really useful writing partner, too."

Google's expansion of Gemini's data access through "personal context" represents a fundamental shift in how AI assistants operate. Unlike competitors that start from scratch with each new user, Gemini can immediately tap into years of accumulated user data across Google's ecosystem. The Verge adds: Google first started letting users opt in to its "Gemini with personalization" feature earlier this year, which lets the AI model tap into your search history "to provide responses that are uniquely insightful and directly address your needs." But now, Google is taking things a step further by unlocking access to even more of your information -- all in the name of providing you with more personalized, AI-generated responses.

During Google I/O on Tuesday, Google introduced something called "personal context," which will allow Gemini models to pull relevant information from across Google's apps, as long as it has your permission. One way Google is doing this is through Gmail's personalized smart replies -- the AI-generated messages that you can use to quickly reply to emails.

To make these AI responses sound "authentically like you," Gemini will pore over your previous emails and even your Google Drive files to craft a reply tailored to your conversation. The response will even incorporate your tone, the greeting you use the most, and even "favorite word choices," according to Google.

Three teenagers nearly escaped prosecution for a 2020 house fire that killed five people until Denver police discovered a novel investigative technique: requesting Google search histories for specific terms. Kevin Bui, Gavin Seymour, and Dillon Siebert had burned down a house in Green Valley Ranch, mistakenly targeting innocent Senegalese immigrants after Bui used Apple's Find My feature to track his stolen phone to the wrong address.

The August 2020 arson killed a family of five, including a toddler and infant. For months, detectives Neil Baker and Ernest Sandoval had no viable leads despite security footage showing three masked figures. Traditional methods -- cell tower data, geofence warrants, and hundreds of tips -- yielded nothing concrete. The breakthrough came when another detective suggested Google might have records of anyone searching the address beforehand.

Police obtained a reverse keyword search warrant requesting all users who had searched variations of "5312 Truckee Street" in the 15 days before the fire. Google provided 61 matching devices. Cross-referencing with earlier cell tower data revealed the three suspects, who had collectively searched the address dozens of times, including floor plans on Zillow.

At I/O 2025, Google revealed new details about Android XR glasses, which will integrate with your phone to deliver context-aware support via Gemini AI. 9to5Google reports: Following the December announcement, Google today shared how all Android XR glasses will have a camera, microphones, and speakers, while an "in-lens display" that "privately provides helpful information right when you need it" is described as being "optional." The glasses will "work in tandem with your phone, giving you access to your apps without ever having to reach in your pocket." Gemini can "see and hear what you do" to "understand your context, remember what's important to you and provide information right when you need it." We see it accessing Google Calendar, Maps, Messages, Photos, Tasks, and Translate.

Google is "working with brands and partners to bring this technology to life," specifically Warby Parker and Gentle Monster. "Stylish glasses" are the goal for Android XR since they "can only truly be helpful if you want to wear them all day." Meanwhile, Google is officially "advancing" the Samsung partnership from headsets to Android XR glasses. They are making a software and reference hardware platform "that will enable the ecosystem to make great glasses." Notably, "developers will be able to start building for this platform later this year." On the privacy front, Google is now "gathering feedback on our prototypes with trusted testers." Further reading: Google's Brin: 'I Made a Lot of Mistakes With Google Glass'

New analysis by MIT Technology Review reveals AI's rapidly growing energy demands, with data centers expected to triple their share of US electricity consumption from 4.4% to 12% by 2028. According to Lawrence Berkeley National Laboratory projections, AI alone could soon consume electricity equivalent to 22% of all US households annually, driven primarily by inference operations that represent 80-90% of AI's computing power.

The carbon intensity of electricity used by data centers is 48% higher than the US average, researchers found, as facilities increasingly turn to dirtier energy sources like natural gas to meet immediate needs.

Tech giants are racing to secure unprecedented energy resources: OpenAI and President Trump announced a $500 billion Stargate initiative, Apple plans to spend $500 billion on manufacturing and data centers, and Google expects to invest $75 billion in AI infrastructure in 2025 alone. Despite their massive energy ambitions, leading AI companies remain largely silent about their per-query energy consumption, leaving researchers struggling to assemble what one expert called "a total black box."

Google co-founder Sergey Brin candidly addressed the failure of Google Glass during an unscheduled appearance at Tuesday's Google I/O conference, where the company announced a new smart glasses partnership with Warby Parker. "I definitely feel like I made a lot of mistakes with Google Glass, I'll be honest," Brin said.

He noted several key issues that doomed the $1,500 device launched in 2013, including a conspicuous front-facing camera that sparked privacy concerns. "Now it looks like normal glasses without that thing in front," Brin said of the new design. He also blamed the "technology gap" that existed a decade ago and his own inexperience with supply chains that prevented pricing the original Glass competitively.

An anonymous reader quotes a report from PCWorld: Microsoft famously brought its Copilot AI to the Edge browser in Windows. Now Google is doing the same with Chrome. In a list of announcements that spanned dozens of pages, Google allocated just a single line to the announcement: "Gemini is coming to Chrome, so you can ask questions while browsing the web." Google later clarified what Gemini on Chrome can do: "This first version allows you to easily ask Gemini to clarify complex information on any webpage you're reading or summarize information," the company said in a blog post. "In the future, Gemini will be able to work across multiple tabs and navigate websites on your behalf."

Other examples of what Gemini can do involves coming up with personal quizzes based on material in the Web page, or altering what the page suggests, like a recipe. In the future, Google plans to allow Gemini in Chrome to work on multiple tabs, navigate within Web sites, and automate tasks. Google said that you'll be able to either talk or type commands to Gemini. To access it, you can use the Alt+G shortcut in Windows. [...] You'll see Gemini appear in Chrome as early as this week, Google executives said -- on May 21, a representative clarified. However, you'll need to be a Gemini subscriber to take advantage of its features, a requirement that Microsoft does not apply with Copilot for Edge. Otherwise, Google will let those who participate in the Google Chrome Beta, Dev, and Canary programs test it out.

A new virtual machine manager called Karton is being developed specifically for the KDE Plasma desktop, aiming to offer a seamless, Qt-native alternative to GNOME-centric tools like GNOME Boxes. Spearheaded by University of Waterloo student Derek Lin as part of Google Summer of Code 2025, Karton uses libvirt and Qt Quick to build a user-friendly, fully integrated VM experience, with features like a custom SPICE viewer, snapshot support, and a mobile-friendly UI expected by September 2025. Neowin reports: To feel right at home in KDE, Karton is being built with Qt Quick and Kirigami. It uses the libvirt API to handle virtual machines and could eventually work across different platforms. Right now, development is focused on getting the core parts in place. Lin is working on a new domain installer that ditches direct virt-install calls in favor of libosinfo, which helps detect OS images and generate the right libvirt XML for setting up virtual machines more precisely. He's still refining device configuration and working on broader hypervisor support. Another key part of the work is building a custom SPICE viewer using Qt Quick from scratch:

If you're curious, here's the list of specific deliverables Lin included in his GSoC proposal, though he notes the proposal itself is a bit outdated [...]. For those interested in the timeline, Lin's GSoC proposal says the official GSoC coding starts June 2, 2025. The goal is to have a working app ready by the midterm evaluation around July 14, 2025, with the final submission due September 1, 2025. You can learn more via KDE.org.

KrebsOnSecurity was hit with a near-record 6.3 Tbps DDoS attack, believed to be a test of the powerful new Aisuru IoT botnet. The attack, lasting under a minute, was the largest Google has ever mitigated and is linked to a DDoS-for-hire operation run by a 21-year-old Brazilian known as "Forky." Brian Krebs writes: [Google Security Engineer Damian Menscher] said the attack on KrebsOnSecurity lasted less than a minute, hurling large UDP data packets at random ports at a rate of approximately 585 million data packets per second. "It was the type of attack normally designed to overwhelm network links," Menscher said, referring to the throughput connections between and among various Internet service providers (ISPs). "For most companies, this size of attack would kill them." [...]

The 6.3 Tbps attack last week caused no visible disruption to this site, in part because it was so brief -- lasting approximately 45 seconds. DDoS attacks of such magnitude and brevity typically are produced when botnet operators wish to test or demonstrate their firepower for the benefit of potential buyers. Indeed, Google's Menscher said it is likely that both the May 12 attack and the slightly larger 6.5 Tbps attack against Cloudflare last month were simply tests of the same botnet's capabilities. In many ways, the threat posed by the Aisuru/Airashi botnet is reminiscent of Mirai, an innovative IoT malware strain that emerged in the summer of 2016 and successfully out-competed virtually all other IoT malware strains in existence at the time.

Google on Tuesday unveiled Veo 3, an AI video generator that includes synchronized audio -- such as dialogue and animal sounds -- setting it apart from rivals like OpenAI's Sora. The company also launched Imagen 4 for high-quality image generation, Flow for cinematic video creation, and made updates to its Veo 2 and Lyria 2 tools. CNBC reports: "Veo 3 excels from text and image prompting to real-world physics and accurate lip syncing," Eli Collins, Google DeepMind product vice president, said in a blog Tuesday. The video-audio AI tool is available Tuesday to U.S. subscribers of Google's new $249.99 per month Ultra subscription plan, which is geared toward hardcore AI enthusiasts. Veo 3 will also be available for users of Google's Vertex AI enterprise platform.

Google also announced Imagen 4, its latest image-generation tool, which the company said produces higher-quality images through user prompts. Additionally, Google unveiled Flow, a new filmmaking tool that allows users to create cinematic videos by describing locations, shots and style preferences. Users can access the tool through Gemini, Whisk, Vertex AI and Workspace.

Google has unveiled a major overhaul of its search engine with the introduction of A.I. Mode -- a new feature that works like a chatbot, enabling users to ask follow-up questions and receive detailed, conversational answers. Announced at the I/O 2025 conference, the feature is now being rolled out to all Search users in the U.S. Engadget reports: Google first began previewing AI Mode with testers in its Labs program at the start of March. Since then, it has been gradually rolling out the feature to more people, including in recent weeks regular Search users. At its keynote today, Google shared a number of updates coming to AI Mode as well, including some new tools for shopping, as well as the ability to compare ticket prices for you and create custom charts and graphs for queries on finance and sports.

For the uninitiated, AI Mode is a chatbot built directly into Google Search. It lives in a separate tab, and was designed by the company to tackle more complicated queries than people have historically used its search engine to answer. For instance, you can use AI Mode to generate a comparison between different fitness trackers. Before today, the chatbot was powered by Gemini 2.0. Now it's running a custom version of Gemini 2.5. What's more, Google plans to bring many of AI Mode's capabilities to other parts of the Search experience.

Looking to the future, Google plans to bring Deep Search, an offshoot of its Deep Research mode, to AI Mode. [...] Another new feature that's coming to AI Mode builds on the work Google did with Project Mariner, the web-surfing AI agent the company began previewing with "trusted testers" at the end of last year. This addition gives AI Mode the ability to complete tasks for you on the web. For example, you can ask it to find two affordable tickets for the next MLB game in your city. AI Mode will compare "hundreds of potential" tickets for you and return with a few of the best options. From there, you can complete a purchase without having done the comparison work yourself. [...] All of the new AI Mode features Google previewed today will be available to Labs users first before they roll out more broadly.

Google today unveiled significant upgrades to its Gemini 2.5 AI models, introducing an experimental "Deep Think" reasoning mode for 2.5 Pro that allows the model to consider multiple hypotheses before responding. The new capability has achieved impressive results on complex benchmarks, scoring highly on the 2025 USA Mathematical Olympiad and leading on LiveCodeBench, a competition-level coding benchmark. Gemini 2.5 Pro also tops the WebDev Arena leaderboard with an ELO score of 1420.

"Based on Google's experience with AlphaGo, AI model responses improve when they're given more time to think," said Demis Hassabis, CEO of Google DeepMind. The enhanced Gemini 2.5 Flash, Google's efficiency-focused model, has improved across reasoning, multimodality, and code benchmarks while using 20-30% fewer tokens. Both models now feature native audio capabilities with support for 24+ languages, thought summaries, and "thinking budgets" that let developers control token usage. Gemini 2.5 Flash is currently available in preview with general availability expected in early June, while Deep Think remains limited to trusted testers during safety evaluations.

Google is adding AI-powered live translation to Meet, enabling participants to converse in their native languages while the system automatically translates in real time with the speaker's original vocal characteristics intact. Initially launching with English-Spanish translation this week, the technology processes speech with minimal delay, preserving tone, cadence, and expressions -- creating an effect similar to professional dubbing but with the speaker's own voice, the company announced at its developer conference Tuesday.

In some testings, WSJ found occasional limitations: initial sentences sometimes appear garbled before smoothing out, context-dependent words like "match" might translate imperfectly (rendered as "fight" in Spanish), and the slight delay can create confusing crosstalk with multiple participants. Google plans to extend support to Italian, German, and Portuguese in the coming weeks. The feature is rolling out to Google AI Pro and Ultra subscribers now, with enterprise availability planned later this year. The company says that no meeting data is stored when translation is active, and conversation audio isn't used to train AI models.

According to Bloomberg's Mark Gurman (paywalled), Apple has big plans to turn Siri into a true ChatGPT competitor. "A next-generation, chatbot version of Siri has reportedly made significant progress during testing over the past six months; some executives allegedly now see it as 'on par' with recent versions of ChatGPT," reports MacRumors. "Apple is also apparently discussing giving Siri the ability to access the internet to gather and synthesize data from multiple sources, just like ChatGPT." From the report: The report added that Apple now has artificial intelligence offices in Zurich, where employees are working on an all-new software architecture for Siri. This "monolithic model" is entirely built on an LLM engine that will eventually replace Siri's current "hybrid" architecture that has been incoherently layered up with different functionality over many years. The new model will make Siri more conversational and better at synthesizing information.

Google's Gemini is expected to be added to iOS 19 as an alternative to ChatGPT in Siri, but Apple is also apparently in talks with Perplexity to add their AI service as another option in the future, for both Siri and Safari search.

An anonymous reader quotes a report from Bloomberg: While using website data to build a Google Search topped with artificial intelligence-generated answers, an Alphabet executive acknowledged in an internal document that there was an alternative way to do things: They could ask web publishers for permission, or let them directly opt out of being included. But giving publishers a choice would make training AI models in search too complicated, the company concludes in the document, which was unearthed in the company's search antitrust trial.

It said Google had a "hard red line" and would require all publishers who wanted their content to show up in the search page to also be used to feed AI features. Instead of giving options, Google decided to "silently update," with "no public announcement" about how they were using publishers' data, according to the document, written by Chetna Bindra, a product management executive at Google Search. "Do what we say, say what we do, but carefully." "It's a little bit damning," said Paul Bannister, the chief strategy officer at Raptive, which represents online creators. "It pretty clearly shows that they knew there was a range of options and they pretty much chose the most conservative, most protective of them -- the option that didn't give publishers any controls at all."

For its part, Google said in a statement to Bloomberg: "Publishers have always controlled how their content is made available to Google as AI models have been built into Search for many years, helping surface relevant sites and driving traffic to them. This document is an early-stage list of options in an evolving space and doesn't reflect feasibility or actual decisions." They added that Google continually updates its product documentation for search online.

Google has launched the NotebookLM app for Android and iOS, offering a native mobile experience with offline support, audio overviews, and integration into the system share sheet for adding sources like PDFs and YouTube videos. 9to5Google reports: This native experience starts on a homepage of your notebooks with filters at the top for Recent, Shared, Title, and Downloaded. The app features a light and dark mode based on your device's system theme with no manual toggle. Each colorful card features the notebook name, emoji, number of sources, and date, as well as a play button for Audio Overviews. There's background playback and offline support for the podcast-style experience (the fullscreen player has a nice glow), while you can "Join" the AI hosts (in beta) to ask follow-up questions.

You get a "Create new" button at the bottom of the list to add PDFs, websites, YouTube videos, and text. Notably, the NotebookLM app will appear in the Android and iOS share sheet to quickly add sources. When you open a notebook, there's a bottom bar for the list of Sources, Chat Q&A, and Studio. It's similar to the current mobile website, with the native client letting users ditch the Progressive Web App. Out of the gate, there are phone and (straightforward) tablet interfaces. You can download the app for iOS and Android using their respective links.

Miami-Dade County Public Schools, the nation's third-largest school district, is now deploying Google's Gemini chatbots to more than 105,000 high school students -- marking the largest U.S. school district AI deployment to date. This represents a dramatic reversal from just two years ago when the district blocked such tools over cheating and misinformation concerns.

The initiative follows President Trump's recent executive order promoting AI integration "in all subject areas" from kindergarten through 12th grade. District officials spent months testing various chatbots for accuracy, privacy, and safety before selecting Google's platform.

OpenAI CEO and Sam Altman believe Artificial General Intelligence could arrive within the next few years. But the speculations of some technologists "are getting ahead of reality," writes the New York Times, adding that many scientists "say no one will reach AGI without a new idea — something beyond the powerful neural networks that merely find patterns in data. That new idea could arrive tomorrow. But even then, the industry would need years to develop it." "The technology we're building today is not sufficient to get there," said Nick Frosst, a founder of the AI startup Cohere who previously worked as a researcher at Google and studied under the most revered AI researcher of the last 50 years. "What we are building now are things that take in words and predict the next most likely word, or they take in pixels and predict the next most likely pixel. That's very different from what you and I do." In a recent survey of the Association for the Advancement of Artificial Intelligence, a 40-year-old academic society that includes some of the most respected researchers in the field, more than three-quarters of respondents said the methods used to build today's technology were unlikely to lead to AGI.

Opinions differ in part because scientists cannot even agree on a way of defining human intelligence, arguing endlessly over the merits and flaws of IQ tests and other benchmarks. Comparing our own brains to machines is even more subjective. This means that identifying AGI is essentially a matter of opinion.... And scientists have no hard evidence that today's technologies are capable of performing even some of the simpler things the brain can do, like recognizing irony or feeling empathy. Claims of AGI's imminent arrival are based on statistical extrapolations — and wishful thinking. According to various benchmark tests, today's technologies are improving at a consistent rate in some notable areas, like math and computer programming. But these tests describe only a small part of what people can do.

Humans know how to deal with a chaotic and constantly changing world. Machines struggle to master the unexpected — the challenges, small and large, that do not look like what has happened in the past. Humans can dream up ideas that the world has never seen. Machines typically repeat or enhance what they have seen before. That is why Frosst and other sceptics say pushing machines to human-level intelligence will require at least one big idea that the world's technologists have not yet dreamed up. There is no way of knowing how long that will take. "A system that's better than humans in one way will not necessarily be better in other ways," Harvard University cognitive scientist Steven Pinker said. "There's just no such thing as an automatic, omniscient, omnipotent solver of every problem, including ones we haven't even thought of yet. There's a temptation to engage in a kind of magical thinking. But these systems are not miracles. They are very impressive gadgets."
While Google's AlphaGo could be humans in a game with "a small, limited set of rules," the article points out that the real world "is bounded only by the laws of physics. Modelling the entirety of the real world is well beyond today's machines, so how can anyone be sure that AGI — let alone superintelligence — is just around the corner?" And they offer this alternative perspective from Matteo Pasquinelli, a professor of the philosophy of science at Ca' Foscari University in Venice, Italy.

"AI needs us: living beings, producing constantly, feeding the machine. It needs the originality of our ideas and our lives."