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The UN's Casualty Report The United Nations has said 15,850 people, including 791 children, have been killed in Ukraine since Russia's full-scale invasion of the neighbouring country in February 2022. The "actual figures are likely significantly higher", Kayoko Gotoh, Europe and Central Asia director of the UN's Department of Political and Peacebuilding Affairs (DPPA), told the UN Security Council on Tuesday. Recent Attacks and Casualties Tuesday's Russian attacks on Ukraine killed at least six people. A 15-year-old boy was among three people killed in a Russian ballistic missile attack on the city of Pryluky in north-central Ukraine's Chernihiv region on Tuesday morning, according to the State Emergency Service of Ukraine. In the region of Sumy, two people were killed in an attack carried out by two Russian drones in the city of Hlukhiv in the Shostka district on Tuesday morning, the Sumy Regional Prosecutor's Office said on Facebook. Escalating Conflict and Peace Efforts Peace talks have stalled between Ukraine and Russia. US President Donald Trump has attempted to mediate and announced the most recent three-day ceasefire earlier this month, but fighting has resumed. Russia's Defence Ministry said it intercepted and destroyed 70 Ukrainian drones in six hours between 05:00 GMT and 11:00 GMT on Tuesday over the various Russian regions as well as Ukraine's annexed Crimean Peninsula.

A Tennis Legend's Academic JourneyWhen Billie Jean King left college in 1964, she had a clear purpose. Within a few years, she had become the top-ranked tennis professional in the world. Over a trailblazing career, she won 39 championships, a Presidential Medal of Freedom and a congressional Gold Medal – all while pushing publicly for gender and pay equality.Last year, she finally returned to finish the degree in history she started more than six decades ago. On Monday, she graduated at 82 years old.The Commencement Celebration"It is a privilege for me to be here as a member of your graduating class," King said at her commencement. "Yeah baby, only 61 years!"King recalled growing up in a working-class family, the daughter of a firefighter father and homemaker mother."Like so many of my fellow graduates, I am the first member of my immediate family to graduate college, like many of you," King said.Early Life and Tennis BeginningsShe chose Cal State Los Angeles, then known as Los Angeles State College, because the tennis coach, Scotty Deeds, trained men and women together. He said it would help give her the level of competition she needed to excel."Their approach to winning in tennis was revolutionary at the time," King said of Deeds and the women's coach Dr Joan Johnson. "Even today most collegiate D-1 and D-2 tennis teams do not have the women and men practice together. Scotty and Dr Johnson had it right and they took the extra step for their student athletes."King distinguished herself as a tennis champ in college, winning Wimbledon doubles while enrolled. King was 18 and her partner, Karen Hantze, was 17, making them the youngest team to win at the time.A Lifelong Commitment to EqualityBut King told the crowd that her true motivation since childhood had been to fight discrimination, a calling she first remembered feeling at age 12, when she realized that virtually everyone at the tennis clubs where she trained was white."I asked myself, where is everybody else?" King said. "From that day forward, I committed my life to equality and inclusion for all. Tennis is a global sport and it became my platform, but equality was my dream – to make the world a better place."She added: "We can never understand inclusion unless we've been excluded."King, one of the first openly gay professional athletes, founded the Women's Tennis Association in 1973 and successfully campaigned to get the US Open to pay equal purses at the US Open. That same year, she defeated Bobby Riggs in a historic match billed "The Battle of the Sexes" – a feat later dramatized in a Hollywood film staring Emma Stone and Steve Carell.Legacy and Final WordsKing ended her speech with words of advice for her fellow graduates."Have fun," King said. "Be fearless. And make history."

Google's Return to Smart Glasses MarketGoogle has announced a new line of AI-powered smart glasses developed in partnership with Warby Parker and Gentle Monster, marking the company's return to the wearable tech market with voice-activated features powered by its Gemini ecosystem. The devices will be compatible with both Android and iOS platforms and are scheduled for release later this year.Audio-First Smart Glasses with Voice CommandsThe new "audio glasses" will allow users to issue verbal commands to control various functions and access Google's ecosystem of apps and services. During the Google I/O demonstration, a company representative successfully ordered a coffee online simply by speaking to the glasses, showcasing the device's seamless integration with everyday tasks.Google's History in Smart GlassesThis isn't Google's first venture into smart glasses territory. The company previously launched Google Glass, which despite its innovative approach, faced privacy concerns and social backlash, even spawning the derogatory term "glassholes." The new audio-focused approach appears to address some of the earlier product's shortcomings by focusing on audio interactions rather than visual displays.Competitive Landscape in Smart GlassesThe smart glasses market has evolved significantly since Google's initial attempt. Major players like Meta have invested heavily in the space, alongside numerous startups and smaller firms. Google's re-entry with an audio-first approach suggests a strategic shift toward a different market segment than Meta's vision-focused products.Future Outlook for Wearable TechnologyWith Google's renewed interest and established players continuing to innovate, the smart glasses market appears poised for significant growth. The audio-first approach may appeal to consumers who have been hesitant about wearable displays, potentially expanding the market beyond early adopters. As these technologies mature, we can expect more seamless integration with daily routines and potentially new applications in areas like accessibility and hands-free productivity.

The LeadAndy Burnham is using his campaign launch video to present Manchesterism – a vision of ending neoliberalism through expanded public control of assets – as a concrete offer for a future Labour government. The proposal arrives as he prepares to contest the Makerfield byelection, with the stakes amplified by concerns over bond‑market reactions and fiscal discipline.Manchesterism as a Blueprint for National PolicyIn Manchester, Burnham has overseen the public‑ownership of the bus network and deepened state‑business partnerships to recycle growth proceeds. The Manchesterism doctrine seeks to replicate these models nationwide, emphasizing:Public control of essential utilities (energy, water, social housing)Devolution of decision‑making to local authoritiesA “productive state” that owns and operates key sectors rather than merely regulating themAdvisers such as Neal Lawson (Compass) and thinkers like Mathew Lawrence and Alex Williams provide the intellectual scaffolding, arguing that privatisation is the root of Britain’s economic malaise.Fiscal Discipline and Bond Market PressuresBurnham has pledged to adhere to Rachel Reeves’s fiscal rules, meaning any new spending must be funded by tax increases. The bond market, already jittery, fears a “Burnham penalty” – higher borrowing costs if unfunded spending expands. Shadow Chancellor Mel Stride has warned that the market’s reaction could raise the cost of borrowing for the whole government.Public Control Proposals: From Buses to WaterThe first practical test will be the handling of Thames Water. While Burnham stops short of outright nationalisation, he advocates “public control” – potentially a municipally‑run entity with worker representation, similar to Berlin’s water model. The proposal aims to:Shift profit from private equity shareholders to public reinvestmentIntroduce democratic oversight of board appointmentsMaintain service continuity while reducing consumer billsCritics on Labour’s left argue this falls short of full nationalisation; right‑wing Labour voices claim the ideas are too theoretical for immediate implementation.Political Calculus in the Makerfield ByelectionThe byelection is a litmus test for Manchesterism’s electoral appeal. Burnham’s team, including outgoing MP Josh Simons and his economist wife Leah Simons, have spent hours vetting the economic agenda. Success would give Burnham a parliamentary platform; failure could hand the seat to Reform UK and undermine the broader narrative.Prospects for Manchesterism in WestminsterEven if Burnham wins Makerfield, translating local successes into national policy faces hurdles:Limited fiscal space under current fiscal rulesPotential resistance from the Treasury and private‑sector lobbyistsNeed for constitutional reforms championed by Compass, which are unlikely before the next general electionNevertheless, the Manchester model offers a tangible alternative to pure market‑driven provision, and its visibility could reshape Labour’s internal debate on public ownership for the remainder of the parliamentary term.

The Lead: Google's AI Shift Toward Autonomous AgentsGoogle has launched Gemini 3.5 Flash, a new AI model representing the company's strategic pivot from conversational AI to autonomous agents capable of independently executing complex tasks. This move signals Google's bet that the future of AI lies in systems that can plan, build, and iterate on real work with minimal human intervention, rather than simply answering questions.The Technical Breakthrough: Gemini 3.5 Flash CapabilitiesGemini 3.5 Flash, introduced at Google's annual I/O developer conference, represents the company's strongest AI model yet for coding and autonomous agents. The model can independently execute coding pipelines, manage research projects, and, in internal tests, build an operating system entirely from scratch. This capability was demonstrated on stage when Google engineer Varun Mohan showed agents spawning off to work on separate components before coming together to build a full operating system inside Antigravity, Google's agentic development platform.Performance Benchmarks: Speed and EfficiencyThe model's performance is remarkable, according to Koray Kavukcuoglu, DeepMind's chief technologist. Flash 3.5 outperforms Google's latest frontier model, 3.1 Pro, on nearly all benchmarks, including coding, agentic tasks, and multimodal reasoning. Most notably, it's four times faster than other frontier models, with an optimized version that's 12 times faster while maintaining the same quality. This speed is crucial for agentic work, where multiple AI agents run simultaneously on long-running tasks.The Industry Shift: From Chatbots to Autonomous AgentsThe release of Gemini 3.5 Flash marks a significant industry shift from AI as a conversational tool to AI as an agentic tool. Google is positioning this as the next wave of AI technology, where systems don't just answer questions but actively plan, build, and iterate on real work. This transition is already showing impact among partners, with banks and fintechs automating multi-week workflows and data science teams finding insights in complex data environments. The model can run autonomously for multiple hours, though it will pause for human input at decision points requiring judgment.Future Outlook: Google's AI Ecosystem ExpansionLooking ahead, Google is developing a complementary model, 3.5 Pro, designed to work in tandem with Flash. According to Tulsee Doshi, Google's senior director and head of product, 3.5 Pro will serve as the orchestrator and planner, leveraging Flash as various sub-agents for tasks requiring brute force tool use. Gemini 3.5 Flash is now the default model in the Gemini app and AI Mode in Search, with agentic capabilities coming to Search and powering Gemini Spark, Google's new personal AI agent designed to run 24/7. As Google expands these autonomous capabilities, the company faces increasing scrutiny regarding safety and ethical considerations, particularly following past incidents with AI systems.

The Lead: Google's Shift to Continuous AI AssistanceAt the 2026 Google I/O keynote, the tech giant revealed new agentic capabilities in Search, where users can create, customize, and manage multiple AI agents to stay updated on topics of interest. The announcement is part of Google's larger push toward agentic AI systems that can take initiative and assist with ongoing tasks instead of only answering one question at a time.The Event Details: Beyond Traditional SearchUnlike traditional search tools that respond only when prompted, Google's information agents are designed to operate continuously in the background, 24/7, helping users stay informed about their interests without needing to repeatedly search for the same information every day. Instead of delivering a list of links, the agents can synthesize information from multiple sources, explain why something matters, compare perspectives, and provide actionable insights.In many ways, the agents represent the next evolution of Google Alerts, the notification service Google launched in 2003. However, these agents are designed to go beyond simple notifications.The Data Analysis: Practical Applications and Use CasesGoogle's information agents can be applied to numerous scenarios:Someone following the stock market could create an information agent focused on specific companies, share price, or economic trends. The agent could monitor market activity throughout the day, track breaking news, summarize earnings reports, alert users when major changes happen, and provide summaries and links to learn more.Everyday tasks such as tracking flight prices for upcoming trips, monitoring sports teams and live events, following breaking news, keeping tabs on housing or job market trends, and tracking weather or traffic.The Impact Analysis: Transforming How Users Interact with InformationThis development marks a significant shift in how users interact with information online. Rather than requiring constant active searching, Google's agents provide a more passive, continuous information stream that reduces cognitive load while keeping users informed. This approach aligns with broader industry trends toward more proactive AI systems that anticipate user needs.The agents also represent Google's response to changing user expectations in the age of advanced AI, where simple link aggregation is increasingly seen as insufficient compared to synthesized, contextual insights.The Prediction: The Future of Search and AI IntegrationInformation agents will be available this summer, with Google first rolling them out to Google AI Pro and Ultra subscribers in the U.S., before expanding to additional markets. This phased release suggests Google is carefully monitoring performance and user feedback before wider deployment.Beyond these information agents, Google also introduced a major redesign of Search itself, including what it describes as a reimagined "intelligent search box"—the company's biggest change to Search in more than 25 years. The new interface is designed to support longer, more conversational queries, with a new AI-powered query suggestion system that goes beyond traditional autocomplete.These developments signal that Google is positioning itself at the forefront of the shift from query-based search to continuous, AI-powered information assistance, potentially reshaping how billions of users access and interact with information online.

At Google I/O on May 19, 2026, Google announced Universal Cart, an AI‑driven hub that lets users collect, track, and purchase products across the web from a single interface, alongside updates to its Agent Payments Protocol (AP2) and the Universal Commerce Protocol (UCP). Universal Cart: Centralizing the Multi‑Device Shopping Experience The new cart integrates with Search, the Gemini chat app, YouTube, and Gmail, allowing users to add items from any of these surfaces. Once added, Universal Cart automatically monitors price drops, shows price‑history insights, and sends back‑in‑stock alerts. AI layers help shoppers make smarter choices—for example, flagging incompatibilities when building a custom PC and suggesting alternatives. Rollout Timeline and Geographic Reach United States: Universal Cart available today via the Gemini app. Summer 2026: Full Gemini app integration. Later 2026: Expansion to YouTube and Gmail. 2026‑2027: UCP categories broaden to hotels and local food delivery. 2026‑2027: Geographic expansion to Canada, Australia, and subsequently the United Kingdom. Strategic Implications for E‑commerce and AI Assistants Universal Cart moves Google’s AI assistants from passive recommendation tools to active participants that can complete purchases autonomously. By linking discovery, consideration, and checkout under a single Google‑controlled layer, the company gains unprecedented visibility into consumer buying pathways, a development retailers and payment processors will monitor closely. Future Outlook: From Agent Payments to a Fully Autonomous Commerce Layer With AP2, users can set brand, product, and spending limits, allowing agents to execute transactions within those guardrails. As Google embeds AP2 across its product suite, we can expect a gradual shift toward fully autonomous shopping experiences, heightened regulatory scrutiny around consent and data security, and competitive pressure on other platform providers to launch similar agent‑payment frameworks.

At Google I/O, the company introduced Gemini Omni, a new family of multimodal models that can synthesize video from text, images, audio and even edit photos via plain‑language prompts, marking the first consumer‑ready step toward fully simulated reality. Google Unveils Gemini Omni: A Multimodal Leap Toward AI‑Generated Video Gemini Omni expands on the original Gemini model by reasoning across all input modalities—text, image, audio, and video—to produce coherent video outputs. The flagship offering, Gemini Omni Flash, launches today in the Gemini app, YouTube Shorts, and the AI Creative Studio Flow, allowing users to create 10‑second clips that reflect an understanding of physics, culture, history, and science. The system also supports plain‑text photo editing, echoing the earlier Nano Banana tool, and includes a dedicated avatar‑creation workflow with anti‑deepfake safeguards. Performance Metrics: 10‑Second Video Generation and Early Adoption Stats Maximum initial video length: 10 seconds per clip (a strategic choice, not a model limit). Rollout platforms: Gemini app, YouTube Shorts, AI Creative Studio Flow. Digital watermarking: All outputs embed SynthID for provenance verification. Avatar onboarding: Users record spoken numbers to generate a personalized, securely stored avatar. API availability: Enterprise access slated for the coming weeks. Implications for Consumers, Creators, and the Advertising Ecosystem The consumer‑focused design positions Omni Flash as a “personalized meme” generator, enabling everyday users to produce videos of themselves winning awards, traveling to the moon, or removing unwanted background elements. For creators and advertisers, the end‑to‑end multimodal workflow promises faster ad‑campaign generation, script‑to‑visual pipelines, and new storytelling tools for filmmakers. Competitors such as OpenAI’s former Sora app have highlighted the market appetite for avatar‑driven content, and Google’s integration with its massive YouTube ecosystem could accelerate adoption. Future Roadmap: Longer Videos, Omni Pro, and Enterprise API Rollout Google signals that longer video durations are “in the pipeline” and that a higher‑performance variant, Omni Pro, will arrive once the team achieves a “step‑change” in capability. The broader vision includes generating images from audio, audio from video, and more sophisticated media synthesis, moving AI from text prediction toward full‑scale reality simulation. As the API opens to enterprises, we can expect deeper integration into advertising platforms, film production pipelines, and possibly new standards for AI‑generated media verification.

Google's Ambitious Entry into AI Design Space Google announced at its annual I/O event on Tuesday that it's launching Pics, a new AI-powered design and image generation app for Google Workspace. The tech giant says it designed the app to be accessible to everyone, from teachers to small business owners. With Pics, users can generate everything from social media graphics and invitations to marketing materials and mockups using simple text prompts, without needing any editing skills or advanced tools. Pics: Google's New AI-Powered Design Tool By giving users an easy way to generate visuals, Google is looking to take on popular design apps like Canva, as well as products from AI-native competitors like Claude Design from Anthropic. Google's entry into the space signals that AI-powered design is fast becoming a core competitive arena — with real stakes for any business that depends on visual content. The new app is launching to a group of testers at I/O and will be rolling out to Google AI Ultra subscribers this summer, Google says. The company acknowledges that although AI models today can generate high-quality images, it's still difficult to modify just one part of an image. If you get an image that's almost perfect but want to change a small detail, you have to write an entirely new prompt and hope the AI doesn't alter too much. That's why Pics not only generates images but makes them easily editable. Users can enter a prompt, and Pics will generate what they need. Gemini powers the editing layer, making every element in a generated design or image fully adjustable. You can write a new prompt to make changes, but you can also simply click the part you want to change and leave a comment — much like leaving feedback in Google Docs. You can also edit directly, without leaving a comment or writing a prompt. For example, if you create a birthday party invitation and want to change the time listed on the card, you can do so manually. Pics is powered by Nano Banana 2, which Google says is a strong fit for the app because it supports precise text rendering, real-world knowledge, and detailed visual output. Pics is also built natively into Google Workspace, enabling visual collaboration across its apps. Redefining Visual Content Creation Google's Pics represents a significant shift in how visual content can be created and modified. The tool's ability to allow users to make precise changes to specific elements of an image without regenerating the entire design addresses a key limitation in current AI image generation technology. This granular control could democratize design for non-designers while also providing professionals with a powerful new tool in their workflow. The integration with Google Workspace is particularly noteworthy, as it positions Pics as more than just a standalone design tool. By embedding it within the broader ecosystem of Google productivity apps, Google is creating a seamless workflow for creating, collaborating on, and finalizing visual content. This approach could give Google a competitive advantage over standalone design platforms that lack such deep integration with other productivity tools. The Future of AI in Design and Collaboration As Pics rolls out to Google AI Ultra subscribers this summer, we can expect to see how the market responds to Google's entry into the AI design space. The tool's success will likely depend on its ability to deliver on its promise of easy-to-use yet powerful design capabilities, as well as how well it integrates with users' existing workflows. Google's move also signals that AI-powered design tools are becoming increasingly mainstream, with major tech companies recognizing the importance of AI in creative workflows. This could accelerate innovation in the space, leading to more sophisticated tools that further bridge the gap between human creativity and AI assistance. Once you're happy with your design, you can download, copy, print, or share it with others. You can also pass it to someone else for a final round of edits before it goes out, Google says. This collaborative aspect, combined with the AI-powered generation and editing capabilities, suggests that Pics is designed not just to replace traditional design tools but to enhance them with AI capabilities that make the design process more accessible and efficient.