Google AI

Google is mounting a legal challenge against European Union regulatory orders that would force it to give AI companies and rival search engines greater access to its services and data. The dispute is the latest clash between Big Tech and Brussels over competition rules, with regulators arguing open access is needed to level the playing field for emerging AI and search competitors.

Google's parent company Alphabet has filed a legal challenge against two European Union orders requiring the company to give AI and search competitors access to Android and to its search data. The dispute centres on how far the EU can force dominant platforms to open up mobile and search infrastructure to rivals, and it adds to Alphabet's growing regulatory battles with Brussels.

Google is appealing European Union regulatory demands concerning access to Android's AI features and the sharing of search data with rivals. According to a Wall Street Journal report, the company is contesting requirements imposed under EU digital competition rules, arguing over how its Android platform and search data should be opened to third parties. The appeal sets up a fresh confrontation between the tech giant and European regulators.

Google is pushing back against a European Union effort that would require it to open Android to rival AI assistants. The dispute forms part of ongoing enforcement of the EU's Digital Markets Act, under which Brussels has pressed the company to give competitors greater access to its dominant mobile platform. Google argues the changes would harm user security and privacy, while regulators see them as key to fair competition in the fast-moving AI market.

Google has announced Project Suncatcher, a research initiative exploring the placement of machine learning compute infrastructure, including TPUs, on satellites in orbit to harness near-continuous solar power. The company says early tests will launch prototype satellites in partnership with SpaceX by early 2027. Commenters are debating the engineering and economic feasibility of space-based data centers, thermal challenges, launch costs, and whether the concept could realistically scale.

Executives from OpenAI, Anthropic, Google and Meta are set to attend a meeting at the White House to discuss artificial intelligence policy. The gathering brings together the leaders of the biggest AI developers with US government officials, underscoring Washington's growing focus on regulating and managing the risks of rapidly advancing AI technology.

Google is preparing to launch an experimental satellite into orbit, marking the first move by a major technology company toward building AI data centers in space. The project signals how Big Tech firms are looking beyond Earth to find power and cooling capacity for energy-hungry artificial intelligence systems. The announcement, reported by the New York Times, has drawn wide attention to the feasibility of orbital computing infrastructure.

Cal Newport has published an essay arguing it is time to formally investigate the leading AI labs, such as OpenAI, Anthropic and Google DeepMind, over their rapid development of powerful systems. The piece is drawing attention on Hacker News, where readers are debating whether scrutiny of AI companies' safety practices and societal impact is overdue or already excessive.

A new antitrust lawsuit targets leading AI companies including Anthropic, OpenAI, xAI and Google, alleging they agreed to slow AI development. According to the report, plaintiffs claim the plan was in motion for months before the companies publicly framed the agreement as safety-focused, arguing it was actually self-serving. The suit raises fresh questions about whether coordination among AI labs violates competition law.

Anthropic has released new Claude-based tools for building and optimizing AI evaluations, aiming to help developers test model performance more systematically. The launch covers utilities for constructing evals and refining them, reflecting a broader industry push toward rigorous testing of AI systems before deployment. Observers see it as part of Anthropic's effort to position Claude as a serious option for enterprise and developer workflows amid intensifying competition with OpenAI and Google.

Meta has introduced a new enterprise-focused AI platform, marking another step in its push to sell artificial intelligence services to businesses. The announcement coincides with the hiring of a former MongoDB executive to help lead the effort. Observers see the move as Meta intensifying its rivalry with Microsoft, Google and Amazon in the enterprise AI market, and reaction has focused on what the new leadership hire signals about the platform's direction.

Meta has launched Muse, a new AI agent. Details beyond the announcement remain limited, but the news is drawing attention across tech communities as Meta continues to expand its artificial intelligence offerings alongside rivals such as OpenAI and Google. Users are weighing in on what the agent could mean for Meta's apps and the broader AI assistant market.

Senator Elizabeth Warren has sent questions to Meta, Google, Amazon and Microsoft regarding tax subsidies connected to their artificial intelligence investments. The inquiry targets whether the tech giants are benefiting from tax breaks tied to massive AI data center spending. The move adds to Washington's scrutiny of how the largest technology companies fund and profit from the AI boom.

Google Research has open-sourced RRSI, a framework allowing AI agents to refine their own evaluation harness while guarding against overfitting. Announced via MarkTechPost, the release lets developers inspect and build on the underlying code. The announcement is drawing attention from AI practitioners interested in agent self-improvement methods that remain reliable rather than gaming their own benchmarks.

Unverified benchmark scores for Gemini 4 Pro are circulating online, claiming the unreleased Google model outperforms competing AI systems on key tests. The leaked numbers have sparked debate among AI watchers, with some questioning their authenticity and methodology while others speculate an official launch may be imminent. Neither Google nor rival labs have confirmed the results.

Unverified benchmark results attributed to Google's Gemini 4 Pro are circulating online, suggesting the model outperforms competing AI systems across several tests. The leak has sparked debate among AI watchers about its authenticity and whether Google is preparing an imminent release, with some urging caution until official figures are confirmed.

A Norwegian science news report describes a study finding that children and teenagers aged 9 to 18 increasingly turn to AI assistants instead of Google for information and answers. Researchers say the shift is happening fast, but the effects on how young people learn, judge sources and handle misinformation are not yet known, prompting calls for closer attention from educators and parents.

Nvidia released its Open Agent Safety Platform on Monday, aiming to stop AI agents from acting improperly. The launch follows disclosures by OpenAI, Anthropic, Meta and Google of recent incidents in which their AI models misbehaved, highlighting growing industry concern about the reliability of autonomous AI systems as companies deploy them more widely.

Details reportedly leaked about Anthropic's upcoming Claude Sonnet 5.5 model, drawing attention ahead of its expected launch. Reports suggest the new release would continue Anthropic's rapid update cycle for its mid-tier Claude models, and AI watchers are speculating about performance gains, coding improvements and how it will stack up against competing models from OpenAI and Google. No official confirmation has come from Anthropic yet.

Elon Musk's xAI and X Corp have removed Apple from their antitrust lawsuit over AI partnerships, leaving the iPhone maker with one fewer legal battle. The suit had accused Apple of favoring OpenAI's ChatGPT in its App Store rankings. Reports are asking whether Apple's legal worries over its AI dealings are now easing, though Google remains a defendant in the case.

The Financial Times reports that AI hyperscalers — the largest cloud and AI infrastructure providers such as Microsoft, Amazon, Google and Meta — are transforming debt markets. Their enormous spending on data centres and computing power is driving new borrowing at historic scale, changing how credit is priced and who dominates corporate bond issuance.

Google is reportedly preparing a challenge to Meta's Muse in the competition to develop agentic AI systems. The report highlights the escalating rivalry between the two tech giants over AI tools that can act autonomously on a user's behalf. Details on Google's counter-offering remain limited, but the move signals that agentic AI is becoming the next major battleground in big tech.

Google is reportedly preparing to launch AI chips into orbit, an effort that would place its semiconductor hardware on satellites in space. Details beyond the announcement remain sparse, but the idea points to computing infrastructure moving off Earth, potentially for data processing and connectivity in orbit. Observers are watching to see how the company plans to deploy and operate chips in the harsh space environment.

Google has confirmed that Gemini 4 is replacing Gemini 3.5 Pro entirely, meaning users will be moved to the newer model rather than keeping access to the previous version. The announcement is drawing attention from AI watchers and developers who follow Google's rapid release cycle and want to know what changes in capability, pricing and availability come with the switch.

Google plans to test its AI chips aboard satellites in orbit under a project called Suncatcher, according to a report in The Daily Star. The initiative suggests the company is exploring whether space-based hardware could help run artificial intelligence workloads. Details on timing, partners and the scale of the orbital tests have not yet been made clear.

The chief executives of Anthropic, Google, and Meta have pledged to 'self police' the development of artificial intelligence, according to statements attributed to Donald Trump. The commitment suggests the leading AI companies would adopt voluntary safeguards rather than face binding regulation, though details of what the pledge involves and how it would be enforced remain unclear.

Google is pushing back against Hollywood's wariness of new technology, arguing the entertainment industry should not fear technological change. The message, reported by The New York Times, comes as studios and creators weigh the impact of tools like artificial intelligence on filmmaking. The exchange highlights ongoing tensions between Silicon Valley and the entertainment world over jobs, copyright and creative control.

Memory chip maker Netlist has asked U.S. authorities to ban imports of Micron products used in AI computing systems built for Google and Nvidia, escalating a long-running patent dispute between the two companies. The request, if granted, could disrupt supply chains for high-bandwidth memory components central to the AI boom. The case draws attention to growing legal battles over intellectual property in the semiconductor industry.

Alibaba has launched Qwen Intelligence as a full-stack agentic AI platform designed for smartphones. The platform is positioned to let phone makers run AI agents that can handle tasks on a user's behalf, extending Alibaba's Qwen model family beyond cloud services and into on-device mobile experiences. Coverage so far frames it as Alibaba's push to compete in the fast-moving smartphone AI space, where Google, Apple and Chinese rivals are also racing to embed assistants.

Google has announced Project Suncatcher, an initiative to launch a prototype satellite designed to test the performance of AI chips in orbit. The company is exploring whether data centres could eventually operate in space, taking advantage of continuous solar power while avoiding land and cooling constraints on Earth. The project puts Google in competition with other tech firms weighing space-based computing.

Mona, an AI startup, has raised $3.5 million in new funding, according to a report by FinSMEs. The news has drawn searches around former Google CEO Eric Schmidt, who is widely known for backing early-stage artificial intelligence ventures. Details on who led the round or what Mona plans to do with the capital were not provided in the report.

Dassault Aviation is testing artificial intelligence algorithms aboard its Rafale fighter jet, Reuters reports. The news has drawn attention in France and the Netherlands, with the topic also trending on Google in France. The trials point to growing interest in AI-assisted capabilities for combat aircraft, a sensitive area given Europe's defence ambitions and Dassault's central role in French military aviation.

Google is using AI to mine historical flood details from news reports in 80 languages to train its Flood Hub forecasting model, which can predict urban flash flood risk up to 24 hours ahead. Critics note the approach has blind spots, since news coverage skews toward heavily reported events: a flooded city centre may generate dozens of reports while rural flooding goes undocumented.

OpenAI has launched a personal AI assistant called 'dots,' which the company describes as built to handle everything for users. The product positions OpenAI directly against rivals including Meta's Muse and Google's Gemini in the increasingly crowded consumer AI assistant market. Coverage of the launch is drawing attention to the escalating competition among the major AI companies over everyday personal assistant tools.

A published critique takes aim at Demis Hassabis, the Google DeepMind chief and Nobel laureate, over his remarks on artificial intelligence and creativity in visual art. The piece challenges the claim that AI systems can genuinely be creative, arguing that machine-generated images lack the intention and lived experience behind human artistic work. It reflects a wider, ongoing debate among artists and technologists about whether AI tools produce real art or mere imitation.

Google is testing AI chips intended for 'fractionalized' data centers in space, an approach that would split computing workloads across orbiting infrastructure rather than single large facilities. The project signals a push to move AI compute beyond terrestrial power and cooling limits. Details on timeline, partners and technical results remain limited, but the initiative underscores growing tech-industry interest in orbital data infrastructure.