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The Limited Time Offer Only two days are left to secure a spot at TechCrunch Disrupt 2026 with a 50% discount on a second pass. This offer is available for all types of passes, including Founder, Investor, Attendee, Non-profit, and Expo+. The Benefits of Attending Disrupt 2026 Attendees will have access to high-impact programming, unparalleled networking opportunities, and real-time insights from industry leaders. The event features a range of sessions, including the Startup Battlefield 200, where founders pitch live in front of seasoned VC judges and a global audience. The Importance of Bringing a Second Person Bringing a co-founder, operator, or partner can accelerate clarity and decision-making. Attendees can compare interpretations in real-time, challenge assumptions, and make better decisions while the context is still fresh. Pass Options Founder Pass: Access investor meetings, Deal Flow Café, curated networking, and programming on scaling, fundraising, and growth. Investor Pass: Connect directly with founders, access curated deal flow, and participate in investor-focused sessions and networking. Attendee Pass: Full access to stages, breakouts, roundtables, and networking to understand what's working across the ecosystem. Non-profit Pass: Explore how emerging tech applies to mission-driven organizations and connect with builders and partners. Expo+ Pass: Focused access to the Expo Hall, breakouts, and networking. Don't Miss Out The offer ends on May 8 at 11:59 p.m. PT. Register now to secure your spot and bring someone with you at 50% off.

The Lead-Up to Elon Musk's Departure from OpenAI In late August 2017, key figures at OpenAI gathered to discuss creating a for-profit subsidiary to commercialize its technology and raise funds needed to realize Artificial General Intelligence (AGI). Elon Musk demanded full control of the company, but his co-founders, Greg Brockman and Sam Altman, proposed equal shares. The Heated Meeting That Changed Everything During a tense meeting, Musk became angry and upset when told the others would not accede to his demand for control. He stormed out of the room, grabbed a painting of a Tesla, and asked Brockman and Ilya Sutskever when they would be departing OpenAI. Musk stopped his regular donations to OpenAI's operating budget, and within six months, he would leave the board. The Data Analysis: Financial Impact of OpenAI's Growth OpenAI's growth was fueled by investments from Microsoft, including a $1 billion investment in 2019 and a further $13 billion over the next four years. This led to a significant increase in the company's valuation, with Brockman's current stake worth almost $30 billion. The Impact Analysis: Power Struggle and Its Consequences The power struggle between Musk and his co-founders had significant consequences for OpenAI. Musk's departure led to a change in the company's direction, with a greater focus on commercialization and fundraising. This ultimately fueled Musk's suspicions that Altman and Brockman had taken advantage of him, leading to a lawsuit in 2024. The Prediction: What's Next for OpenAI and Elon Musk The trial between Musk and OpenAI is expected to continue, with both sides presenting their cases. The outcome will likely have significant implications for the future of AI development and the relationships between key players in the industry.

Ethos, a London‑based AI startup, closed a $22.75 million Series A round on May 6, 2026, led by a16z with participation from General Catalyst, XTX Markets, Evantic Capital, and Common Magic. The capital will accelerate its voice‑powered expert onboarding system, which promises richer skill signals than traditional job‑title based platforms. Voice‑Powered Onboarding Redefines Expert Matching Ethos replaces static forms with conversational interviews, allowing experts to describe their knowledge in their own words. The platform then parses these recordings to extract granular competencies, enabling companies to pose natural‑language queries such as “find experts who worked at a funded startup backed by A‑grade investors solving finance automation.” Funding Numbers and Investor Line‑up Highlight Market Confidence Series A amount: $22.75 million Lead investor: a16z (Andreessen Horowitz) Other participants: General Catalyst, XTX Markets, Evantic Capital, Common Magic Founders: James Lo (ex‑McKinsey, SoftBank) and Daniel Mankowitz (former DeepMind AI researcher) Implications for the Expert‑Network Landscape and AI‑Driven Talent Mapping By capturing sub‑specializations through voice, Ethos challenges legacy platforms that rely on shallow job‑title signals. The startup also enriches its graph with public data—blogs, academic papers, and social links—creating a hybrid human‑AI talent map. Early adopters include top hedge funds, private‑equity firms, foundational AI labs, and enterprise consultancies, which pay a 30%+ per‑project fee. Future Outlook: Scaling, Revenue Targets, and Competitive Position Ethos aims for “eight‑figure annualized revenue” while keeping its team lean (currently eight members). With roughly 35,000 new experts joining each week, the company plans to deepen its voice‑agent interview pipeline and expand into sectors such as law, health, and finance. Competitors like Listen Labs and Outset offer conversational AI interview tools, but Ethos bets its curated expert network will deliver higher‑value matches for complex, domain‑specific queries.

SAP's Strategic Bet on AI Enterprise software giant SAP is making a significant bet on artificial intelligence (AI) with the acquisition of German startup Prior Labs for an undisclosed amount. As part of the deal, SAP plans to invest approximately $1.16 billion over the next four years to grow Prior Labs into an AI lab focused on structured data. The Event Details Prior Labs, founded just 18 months ago, specializes in tabular foundation models (TFMs) that can make predictions from data stored in tables and databases. This technology is seen as a better fit for enterprises than language models, particularly for SAP, whose software products rely heavily on databases. The Data Analysis The acquisition is a significant exit for Prior Labs' founders, Frank Hutter, Noah Hollmann, and Sauraj Gambhir, with sources indicating a healthy payout of over half a billion dollars in cash upfront. Prior Labs' TabPFN model series has gained traction among developers, with over three million downloads of its open-source models. The Impact Analysis The deal is part of SAP's broader strategy to bolster its AI capabilities and compete with emerging technologies. SAP has been investing in generative AI companies, including Anthropic, Aleph Alpha, and Cohere, and has developed its own relational pretrained transformer model, SAP-RPT-1. The Prediction With this acquisition, SAP aims to create a new "globally-leading frontier AI lab for structured data" in Europe. The company hopes that Prior Labs will develop TFMs that can combine data with language, reasoning, and domain knowledge, leading to innovative AI solutions for enterprises.

Meta's Strategic Move into Humanoid RoboticsMeta announced the acquisition of Assured Robot Intelligence (ARI), a startup focused on foundation models that enable humanoid robots to understand, predict, and adapt to human behavior. The deal, made for an undisclosed sum, brings ARI’s co‑founders and research team into Meta’s Superintelligence Labs research division.Acquisition Details and Team IntegrationThe integration will see ARI’s leadership—co‑founders Xiaolong Wang and Lerrel Pinto—join Meta’s AI unit. Wang, a former Nvidia researcher and UC San Diego associate professor, and Pinto, a former NYU professor and co‑founder of Fauna Robotics (acquired by Amazon), both hold multiple prestigious awards.Acquisition price: undisclosedPrevious funding: undisclosed seed round from AIX VenturesTeam focus: foundation models for whole‑body humanoid control and self‑learningFinancial Forecasts and Market Size ProjectionsIndustry analysts remain divided on the long‑term value of humanoid robotics:$38 billion market estimate by 2035 (Goldman Sachs)$5 trillion market estimate by 2050 (Morgan Stanley)These figures illustrate both the massive upside and the uncertainty surrounding a technology still in its early commercial phase.Implications for the AI and Robotics LandscapeBy absorbing ARI, Meta gains:Deep expertise in robot‑centric model training, a pathway many experts see as essential for achieving artificial general intelligence (AGI).Accelerated development of consumer‑grade humanoid platforms, complementing Meta’s existing research on AI models and hardware.A competitive edge over rivals such as Amazon, Google, and Tesla, all of which are racing to embed AI in physical agents.Even if Meta ultimately opts not to ship a consumer robot, the acquisition signals a firm commitment to the research frontier where AI learns through embodied interaction rather than static data.Future Outlook: From Lab Prototypes to Consumer HumanoidsAnalysts anticipate a multi‑year timeline before any Meta‑branded humanoid reaches the market. Short‑term milestones include:2026‑2027: Integration of ARI’s models into Meta’s internal simulation pipelines.2028‑2029: Prototype demonstrations of household‑task robots for internal testing.Early 2030s: Potential pilot programs with select partners or developers.Success will hinge on breakthroughs in whole‑body control, energy efficiency, and safe human‑robot interaction—areas where ARI’s award‑winning team is already positioned to lead.

The Lead: A Definitive Verdict for Superdry's Co-FounderJames Holder, the co-founder of the iconic British fashion brand Superdry, has been found guilty of rape following a trial at Gloucester Crown Court. The verdict, delivered on May 1, 2026, marks a definitive end to a legal saga that has cast a long shadow over the retailer's leadership and corporate reputation.The Legal Proceedings and TestimonyThe court heard that Holder, 54, and a male companion were due to return to his Cotswolds mansion but instead entered the victim's taxi in Cheltenham. The prosecution described a scenario where the victim, intoxicated, was unable to consent, and Holder ignored her pleas to stop, even as she began to cry. While Holder claimed his behavior was "old-school and chivalrous" and insisted the encounter was consensual, the jury rejected his defense.Key Details: Holder was found guilty of raping a woman after a night out in Cheltenham, Gloucestershire.Defense Strategy: Holder argued he was "chivalrous" and looked after the woman, but the court rejected his account.Timeline: Holder denied the charges in May 2022 but was convicted in May 2026.Reputational Impact on the Fashion BrandThis conviction represents a critical turning point for Superdry. As a brand built on British heritage and authenticity, the actions of its co-founder undermine the company's core values. The incident highlights the vulnerability of fashion retailers to the personal conduct of their founders, regardless of their business success. The legal system has now validated the victim's account, contrasting sharply with Holder's self-perception of being a "chivalrous" figure.Future Outlook for Superdry's LeadershipMoving forward, Superdry faces a dual challenge: navigating the immediate reputational damage and restructuring its leadership narrative. The company will likely need to distance itself further from the founder's legacy to reassure stakeholders and customers. This case serves as a stark reminder that in the modern corporate landscape, the personal conduct of C-suite executives is inextricably linked to brand equity.

Lead: Musk’s courtroom confession on AI distillationElon Musk told a federal judge that xAI had used distillation techniques on OpenAI models to help train its new chatbot Grok. The partial "yes" came during a high‑stakes lawsuit accusing OpenAI founders of betraying the nonprofit mission that originally guided the company.Musk’s courtroom admission on AI distillation practicesDuring Thursday's testimony, the judge asked whether xAI had employed systematic querying of OpenAI’s publicly available APIs to extract model behavior. Musk answered that such "distillation" is a "general practice among AI companies" and qualified his response with "Partly." The exchange underscores that the once‑rumored practice is now openly acknowledged in a legal setting.Distillation: prompting a model repeatedly to infer its internal weights and replicate its capabilities.Legal context: Musk is suing OpenAI, CEO Sam Altman, and co‑founder Greg Brockman for allegedly abandoning the nonprofit charter.Scale and rankings of AI playersWhile xAI remains a relatively small outfit—"just a few hundred employees"—Musk positioned it among the world’s top AI providers:1️⃣ Anthropic (ranked top by Musk)2️⃣ OpenAI3️⃣ Google4️⃣ Chinese open‑source modelsFounded in 2023, xAI’s rapid ascent to a contender in the market illustrates how distillation can accelerate capability development without the massive compute investments of larger rivals.Distillation’s threat to incumbents and industry responseThe practice erodes the advantage built by firms that have poured billions into custom silicon and data pipelines. By extracting knowledge from existing models, smaller labs can produce near‑equivalent performance at a fraction of the cost. In response, leading labs—including OpenAI, Anthropic, and Google—have launched a collaborative effort through the Frontier Model Forum to share defensive tactics, such as rate‑limiting suspicious query patterns and tightening terms of service.Future outlook: legal battles and the evolution of model trainingWith Musk’s admission on the record, the lawsuit may set precedents for how intellectual property and service‑agreement violations are judged in the AI space. Expect tighter API usage policies, increased monitoring of query volumes, and possibly new regulatory guidance on model‑copying techniques. Meanwhile, firms that can master distillation without breaching contracts could reshape the competitive landscape, forcing incumbents to innovate beyond sheer compute power.

FDA Clearance Marks a Milestone for BioticsAI's Ultrasound AI CopilotRobhy Bustami, co‑founder and CEO of BioticsAI, announced that the company obtained FDA approval in January 2026, unlocking the ability to launch its fetal‑abnormality detection system in clinical settings.From Scrappy Prototype to Regulatory SuccessThe team built a functional prototype for under $100,000, an unusually low cost for a medical‑device startup. That early version helped them win TechCrunch Startup Battlefield 2023, providing visibility and credibility that accelerated investor interest.Prototype cost: $100kTechCrunch Battlefield win: 2023FDA approval received: January 2026Financial and Timeline Metrics Behind the ClearanceWhile the article does not disclose full fundraising numbers, the rapid prototype and battlefield win suggest a capital‑efficient path. Early regulatory engagement—pre‑submission meetings with the FDA— reduced uncertainty and compressed the typical multi‑year approval timeline.Early regulator meetings: pre‑submission phaseTypical FDA device timeline: 18‑36 months (compressed by early alignment)Why FDA Approval Shifts the AI‑Healthcare LandscapeGaining clearance validates the technical approach and signals to hospitals that the product meets rigorous safety standards. It also demonstrates a repeatable model for other AI‑driven diagnostics, encouraging more founders to embed regulatory strategy from day one.Creates a trusted entry point for hospital adoptionSets a precedent for AI‑based fetal imaging toolsHighlights the need for cross‑functional teams (engineers, clinicians, regulators)Looking Ahead: Expansion Beyond ObstetricsWith the FDA hurdle cleared, BioticsAI plans to deploy its technology across obstetric units and later broaden into other reproductive‑health applications. The founder emphasizes continued data collection, partnership growth, and potential international regulatory filings as the next growth levers.Phase 1: Hospital rollout in obstetrics (2026‑2027)Phase 2: Expansion into broader reproductive health diagnostics (2028+)Long‑term goal: Global market penetration with localized regulatory approvals

The Journey from Prototype to ClearanceBuilding a medical device is fundamentally different from standard software development. This week on Build Mode, host Isabelle Johannessen sat down with Robhy Bustami, co-founder and CEO of BioticsAI, to discuss the arduous path from a $100,000 prototype to FDA clearance. Bustami, a Startup Battlefield winner, detailed how his team is building an AI copilot for ultrasound designed to detect fetal abnormalities. The conversation revealed that the traditional startup mantra of 'move fast and break things' is obsolete in the medical sector, replaced by a necessity for extreme precision and coordination.Market Validation and Resource AllocationThe episode provides a strategic look at the 'data' driving medtech success. BioticsAI's recognition as a Startup Battlefield winner serves as a key validation of their technology's potential. However, Bustami emphasized that the primary data point for founders is not just market traction, but the successful navigation of complex regulatory pathways. This requires a significant reallocation of resources—shifting focus from rapid feature deployment to ensuring safety, reliability, and compliance with FDA standards.Shifting the MedTech CultureThe core impact of this discussion lies in the cultural shift it highlights for the industry. As timelines for FDA approval remain uncertain, the ability to maintain team morale and investor confidence becomes a critical operational metric. Bustami noted that building in a regulated industry requires a foundation of trust rather than speed. This signals a broader trend where medtech startups must balance the pressure of hyper-growth with the ethical and legal responsibilities of patient safety.The Future of AI in Healthcare RegulationLooking ahead, the medtech landscape will likely see a consolidation of companies that prioritize long-term compliance over short-term hype. As more AI copilots enter the market, the winners will be those founders who master the art of 'slow and steady' innovation. The next wave of medical breakthroughs will depend not just on algorithmic superiority, but on the ability to build sustainable organizations capable of weathering the regulatory storm.