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The Emergence of Recursive Superintelligence Richard Socher, known for founding You.com and his work on Imagenet, has joined the current generation of research-focused AI startups with Recursive Superintelligence, a San Francisco-based startup that came out of stealth with $650 million in funding. The Vision for Recursive Self-Improvement Socher, along with prominent AI researchers Peter Norvig and Tim Shi, aims to create a recursively self-improving AI model that can autonomously identify its own weaknesses and redesign itself to fix them without human involvement. The Unique Approach: Open-Endedness The startup's unique approach is to use open-endedness to achieve recursive self-improvement. This involves building a system that can automatically generate research ideas, implement, and validate them, potentially leading to a new kind of sense of self-awareness. The Technical Meaning of Open-Endedness Open-endedness refers to the ability of an AI system to create and interact with new concepts, worlds, and agents. Examples include Google DeepMind's Genie 3 and rainbow teaming, where two AIs co-evolve to improve safety. The Future of AI Research and Compute Socher believes that compute will become the only important resource in the future of AI research, and the question will be how much compute humanity wants to spend to solve which problems. The Path to Product Development While Recursive Superintelligence is focused on research, Socher expects the company to develop products that people will love to use, with a positive impact on humanity, in the near future, with timelines potentially being pulled up.

OpenAI has engaged external counsel to assess a breach‑of‑contract claim against Apple over a lackluster ChatGPT integration that was expected to drive billions in new subscriptions. The move, reported by Bloomberg, comes as the AI firm navigates ongoing litigation with Elon Musk and growing tension with its biggest backer, Microsoft. OpenAI’s Frustration with Apple’s ChatGPT Integration The partnership, announced at Apple’s WWDC in June 2024, embedded ChatGPT into Siri and the iPhone’s Visual Intelligence feature, allowing users to snap photos and query the model. OpenAI executives say the feature was buried in the UI, hard to discover, and far below projected revenue, prompting the company to consider a formal breach notice. Financial Stakes and Missed Revenue Projections Industry watchers had anticipated the tie‑up could funnel billions of dollars in subscriptions to OpenAI and secure premium placement on one of the world’s most‑used mobile platforms. Instead, Bloomberg notes that actual earnings are “nowhere close” to expectations. By contrast, Apple’s recent AI partnership with Google commands roughly $1 billion a year, and the European Commission fined Apple €1.8 billion in March 2024 for App Store practices, underscoring the high financial stakes of platform deals. What Apple’s Partner Policies Mean for the Ecosystem The dispute adds to a long list of strained relationships Apple has had with partners—from Google Maps’ removal in 2012 to Adobe’s Flash ban in 2010 and Spotify’s App Store grievances that led to the EU fine. Apple’s control over its ecosystem means third‑party developers are effectively guests, and any perceived overreach—such as OpenAI’s hardware ambitions led by former Apple design chief Jony Ive—can trigger pushback. Possible Legal Paths and Future Scenarios OpenAI’s counsel may issue a breach‑of‑contract notice without filing a full lawsuit, likely waiting until the Musk trial concludes. If litigation proceeds, outcomes could include renegotiated revenue shares, mandated UI prominence for AI features, or broader industry pressure on Apple to adopt more partner‑friendly policies. Conversely, a settlement could preserve the integration while granting OpenAI clearer performance metrics.

An open‑source hardware gadget called the Clawdmeter now visualizes Anthropic’s Claude Code token consumption on a small desktop screen, giving AI power users a playful, at‑a‑glance view of their usage. Clawdmeter: A Pixel‑Art Dashboard for Claude Tokens The device was conceived by Reykjavik‑based developer Hermann Haraldsson, who wanted to combine his interest in embedded hardware with the rising need to monitor AI token usage. Built around a Waveshare ESP32‑S3‑Touch‑AMOLED‑2.16 display, the Clawdmeter pairs with a laptop via Bluetooth, reads the Claude Code OAuth token, and pulls usage numbers from API response headers. When powered on, a pixel‑art Clawd sprite dances on the splash screen, accelerating as token consumption rises. Users can cycle through animations, view session and weekly usage charts, and even trigger Claude shortcuts (Space for voice mode, Shift+Tab for mode toggles) directly from the device’s side buttons. GitHub Reception and Early Adoption Metrics 800+ stars on GitHub since the May 10, 2026 launch 50 forks for custom extensions Open‑source repository invites community‑added animations, screens, and features Device runs on a small lithium‑ion battery, making it portable for desk use What the Clawdmeter Signals for AI Tool Adoption The project underscores two broader trends. First, the “tokenmaxxing” mindset—where engineers track the volume of AI tokens consumed as a badge of AI integration—is gaining traction across tech firms. Second, tools like Claude are becoming accessible enough that developers can leverage them to prototype hardware projects, effectively democratizing embedded development. As Haraldsson noted, Claude’s conversational guidance helped him complete the device in just a few days, blurring the line between software and hardware creation. Future Directions for Desktop AI Dashboards Given the enthusiastic community response, several pathways are likely. Open‑source contributors may add multi‑AI support (e.g., OpenAI, Google Gemini), richer analytics (cost tracking, token efficiency), or even haptic feedback. Commercial variants could emerge, offering premium enclosures or integrated charging. Ultimately, the Clawdmeter exemplifies how niche hardware can turn abstract AI usage data into tangible, motivating feedback—potentially spawning a new class of personal AI monitoring devices.

Executive Summary: Google Refutes Alleged Online Safety BreachGoogle says it has not broken the UK Online Safety Act despite a £950,000 fine imposed on the forum’s US operator and evidence that the site remains reachable via search results and VPNs. The controversy centers on a nihilistic suicide forum linked to 164 UK deaths, prompting calls for tighter blocking measures.Regulatory Context and the Contested Search ListingThe UK internet regulator, Ofcom, fined the forum’s operator for allowing access to content that presents a "material risk of significant harm". Although the site claims to restrict UK users voluntarily, a Google search result still displays the forum as the second entry beneath a link to the Samaritans, enabling users to bypass the block with basic software or VPNs.Key Figures and Financial Penalties£950,000 – fine levied on the forum’s US‑based operator.164 – reported UK deaths associated with the forum.2023 – year the Online Safety Act was enacted.Implications for Online Safety Governance in the UKThe case highlights tension between search engine obligations to mitigate harmful content and the principle of information access. Advocacy groups such as the Molly Rose Foundation and Families and Survivors to Prevent Online Suicide Harms argue that Ofcom’s current enforcement is insufficient, urging court orders to compel internet service providers to block the site entirely.Future Outlook: Potential Legal and Technical MeasuresOfcom is preparing an application to seek a court order that would force ISPs to cut connections to the forum if compliance is not achieved. Google maintains it will implement any formal court orders and highlights its safety features, including a prominent help box with resources like the Samaritans. The next steps will likely involve legal rulings that define the extent of search‑engine liability under the Online Safety Act.

Es Devlin’s collective selfie portrait challenges Britain’s fragmentationAt the National Portrait Gallery, artist Es Devlin presents a constantly evolving digital collage built from ordinary people’s selfies. The work is framed as a quiet, non‑verbal invitation for the nation to coexist.How the living portrait merges thousands of UK selfiesParticipants upload a selfie via the project website.Each image is rendered in Devlin’s smoky charcoal‑and‑chalk style.The stylised portraits rotate on a framed screen, appearing and fading in a perpetual carousel.The installation deliberately leaves imperfections – mismatched beards, overlapping features – to reflect the difficulty of seamless unity.Technology behind the portrait: Google Arts & Culture Lab’s AI modelWorking with engineers at Google Arts & Culture Lab, Devlin trained an image‑generation model on her hand‑drawn portraits. The AI translates raw selfies into drawings that retain the tactile feel of charcoal, rather than a simple filter.While the project showcases AI’s creative potential, Devlin acknowledges the paradox of offering her artistic “shadow” to a corporate tech platform amid broader debates over artists’ rights.Why a crowd‑sourced portrait matters for British social cohesionThe timing is significant: Britain is experiencing heightened political fury, algorithmic echo chambers, and loneliness. By foregrounding ordinary faces, the work challenges the dominance of celebrity and political imagery in national narratives.Devlin hopes the fleeting intimacy of a shared glance can prompt a pause in the “age of destruction, fragmentation, separation, isolation” she describes.Future steps: workshops, regional roll‑outs and the debate over AI in artBeyond the gallery, Devlin will run free portrait‑drawing workshops and online classes, with plans to bring the installation to town halls, libraries and schools across the UK.The project also sparks discussion about the role of AI in cultural production – whether it is a tool of industrial capitalism or a means of artistic re‑appropriation.

The Foxconn Breach: Major Electronics Manufacturer Targeted Electronics manufacturing giant Foxconn, which produces devices and components for Apple, Google, Nvidia, and Sony among other tech giants, confirmed on Monday that it was hit by a cyberattack affecting some of its facilities. The ransomware group Nitrogen claimed responsibility for the breach, asserting they had stolen over 11 million files including confidential information from Foxconn's major customers. Ransomware Attack Details and Nitrogen's Double Extortion Strategy The attack, which impacted Foxconn's facilities in North America, was claimed by the Nitrogen ransomware group through their dark web leak site. As proof of their breach, the hackers published several images appearing to show product schematics, guidelines, and bank statements. Nitrogen operates as a double-extortion ransomware group, meaning they not only encrypt files to make them inaccessible but also steal data first, creating two avenues for monetizing their crimes through either ransom payments or data leaks. Scope of Data Theft and Potential Financial Implications The hackers claim to have accessed sensitive information from multiple major tech companies, including Apple, Dell, Google, Intel, and Nvidia. While Foxconn has not disclosed specific financial figures related to the attack, such breaches typically result in significant costs including remediation, potential regulatory fines, and reputational damage. The stolen data, if authentic and leaked, could potentially impact product development cycles and competitive positioning for the affected companies. Industry-Wide Cybersecurity Concerns Amplified This attack highlights the growing vulnerability of critical manufacturing infrastructure in the tech industry. As supply chains become increasingly interconnected, a breach at a major manufacturer like Foxconn can have cascading effects across multiple companies and sectors. The incident underscores the need for enhanced cybersecurity measures not just at individual companies but throughout the entire supply chain ecosystem. Future Outlook for Foxconn and Affected Tech Giants While Foxconn reports that affected factories are resuming normal production, the long-term implications of this breach remain to be seen. Companies like Apple, Google, and Nvidia will likely need to assess whether their proprietary information has been compromised and take appropriate security measures. This incident may accelerate investments in cybersecurity across the tech manufacturing sector and potentially lead to new regulatory requirements for protecting sensitive supply chain data.

Amazon Unveils “Alexa for Shopping” to Replace RufusOn 2026‑05‑13, Amazon announced Alexa for Shopping, a personalized AI shopping assistant powered by Alexa+. The new tool supersedes the 2024 generative AI bot Rufus and is embedded directly into the main search bar and a dedicated chat window on mobile, desktop, and Echo Show devices.Launch Timeline and Availability2026‑05‑13: Public announcement and rollout to U.S. customers.Immediate availability on Amazon’s website, mobile app, and Echo Show smart displays.Replaces Rufus, shifting focus from product discovery to deeper personalization and automated ordering.How the Assistant Works: Voice, Text, and “Buy for Me”Customers can type or speak queries such as “What’s a good skincare routine for men?” or “When did I last order AA batteries?” The assistant leverages purchase history, preferences, and browsing habits to deliver tailored answers, compare products, track price changes, and schedule recurring orders. A notable feature, “Buy for Me,” lets Alexa complete purchases on third‑party sites, raising both convenience and privacy questions.Strategic Impact on E‑commerce and AI CompetitionThe rollout aligns with Amazon’s broader push to embed AI throughout the shopping journey, complementing recent initiatives like the Amazon Now 30‑minute delivery service and real‑time conversational audio responses. By offering a unified AI layer across its ecosystem, Amazon aims to lock in user data, increase basket size, and differentiate itself from rivals such as Google Shopping and Microsoft’s AI‑driven retail tools.Future Outlook: Expanded Retail Partnerships and Privacy ConcernsAnalysts expect Amazon to extend Alexa for Shopping beyond the U.S., integrate more third‑party retailers, and refine the “Buy for Me” automation. However, the feature’s cross‑site purchasing capability may attract regulatory scrutiny over data handling and AI autonomy, prompting Amazon to bolster transparency and consent mechanisms in upcoming updates.

The Startup Market’s Most Urgent Risk: Reacting Too LateFounders and investors are now facing a bigger danger than moving slowly – they risk reacting after the market has already shifted. TechCrunch Disrupt 2026 is designed to help them act faster.Six Specialized Stages Tailored to Today’s Volatile MarketsFrom October 13–15 at Moscone West in San Francisco, Disrupt will host 10,000+ founders, investors and operators across 250+ sessions. The conference is organized into six distinct stages:Disrupt Stage – headline founders, tech leaders and top‑tier investors discuss broad market shifts.Builders Stage – fundraising, hiring, product‑market fit and go‑to‑market execution.Smart Money Stage – evolution of financial infrastructure and durable fintech models.Smart Systems Stage – physical‑world constraints such as data‑center capacity, energy and climate tech.AI in the Real World Stage – reliability of AI systems beyond demos.AI Stage (presented by Google Cloud) – impact of generative AI on SaaS and software businesses.Numbers That Show Disrupt’s Scale and SavingsEvent dates: October 13–15, 2026Attendees: 10,000+ founders, investors, operatorsSessions: 250+ across six stages, plus 200+ sessions highlighted in promotionSpeakers include Nina Achadjian (Index Ventures), Rajeev Dham (Sapphire Ventures), Josh Reeves (Gusto), Grant Lee (Gamma), Robby Stein (Google), Mo Jomaa (CapitalG), Jack Zhang (Airwallex), Lotti Siniscalco (Emergence Capital), Jeff Lawson (Inertia), David Kirtley (Helion).Early‑bird discount: save up to $410 on a pass and get 50% off a second ticket.Group discount: up to 30% off tickets for community registrations.Startup Battlefield 200 nominations close May 29.How the New Stages May Shift Founder‑Investor Decision‑MakingThe focused content aims to surface “signals shaping opportunity” – where attention is concentrating, which categories are accelerating, and how successful companies are positioning themselves. By separating AI‑native competition, fintech infrastructure, and physical‑world constraints, participants can prioritize capital allocation and product strategy with fewer guess‑work cycles.What’s Next for Disrupt and the Broader Startup EcosystemWith the six‑stage format, Disrupt positions itself as a real‑time market intelligence hub. If founders leverage the early‑bird pricing and apply for Battlefield 200, the conference could become a primary pipeline for capital in 2026‑27, especially as AI and infrastructure pressures intensify. Observers should watch post‑event reports for emerging investment trends and the adoption rate of “real‑world AI” solutions.

Introducing Poppy's Proactive AI Assistant Poppy, a new app, aims to organize the chaos of digital life by combining calendar, email, messages, and other sources into a single dashboard. The app uses AI to guess what's important to users based on their data and provides proactive suggestions to help them manage their time. How Poppy Works Users can connect various services to Poppy's app, such as email, calendar, and location. Poppy then uses this data to provide suggestions, such as taking a break to go for a walk or suggesting restaurants based on a friend's food preferences. Key Features and Integrations Works with everyday apps like Apple Calendar, Google Calendar, Gmail, Outlook, and more Integrates with apps like Uber and Instacart Users can message Poppy with questions or requests Poppy can track flights and alert users to changes Security and Future Plans Poppy's maker, Sai Kambampati, emphasizes data security, with encryption and a zero-retention policy. The company plans to switch to local, on-device AI models in the future. Funding and Team Poppy's San Francisco-based team of four is backed by $1.25 million in pre-seed funding led by Kindred Ventures, with various angels participating, including DeepMind's Logan Kilpatrick.