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Why the New Wave of Sports Robots Feels Emotionally FlatThe latest showcase of AI‑powered athletes – from Toyota’s towering CUE7 basketball robot to the record‑breaking half‑marathon machines in Beijing – demonstrates how far robotics has come. Yet the spectacle feels hollow because the machines cannot experience disappointment, triumph, or the narrative tension that fuels fan engagement.Technical Breakthroughs on the Court and the TrackCUE7: a 7ft 2in robot with wheeled feet and net‑hand grippers, debuting in an exhibition game for Alvark Tokyo in April 2026.Beijing half‑marathon (April 2026): three robots – Tiangong, Lightning (by Honor), and an unnamed third – ran the 21.1 km course, with Lightning finishing roughly seven minutes faster than the human world record of 57:20 set by Jacob Kiplimo.Sony AI’s table‑tennis robot Ace won three of five matches against elite players, using a robotic arm on a mobile platform.Numbers That Highlight the Gap Between Speed and SpectacleTiangong required three battery swaps and completed the race in 2 hr 40 min, double the fastest human time.Lightning’s sub‑record pace demonstrates raw speed but offers no narrative tension.Human athletes still dominate in emotional response: the Alvark Tokyo shooter’s downcast reaction to a missed shot was genuine, unlike the robot’s indifferent wheel‑away.What This Means for the Future of Competitive SportRobots excel at consistency and can push physical limits, but sport’s core appeal lies in unpredictable human drama. While bowling machines and chess computers have become training aids, they have not altered the rules of their games. Similarly, robotics researchers see the primary value of these machines in coaching, injury‑prevention drills, and data collection rather than as headline attractions.Initiatives like RoboCup, aiming to defeat World Cup winners by 2050, illustrate long‑term ambitions, yet the technology already benefits fields beyond sport – from search‑and‑rescue to warehouse automation.Looking Ahead: Robots as Coaches, Not StarsIn the coming decade, expect sports organizations to integrate AI robots for precision training, biomechanical feedback, and scenario simulation. Public viewership, however, will likely remain centered on human athletes whose stories generate the emotional stakes that keep fans watching. The era of robot‑only spectacles may be limited to niche exhibitions and specialized training environments.

Record Quarter Amid Leadership TransitionApple reported a record quarter on Thursday with revenue of $111.2 billion and double-digit growth across every geographic segment. Despite these impressive figures, outgoing CEO Tim Cook warned of gathering storm clouds in the form of memory chip supply issues that could impact business in the near future.iPhone Sales Drive Record PerformanceDuring Thursday's earnings call, Cook highlighted that iPhone achieved a March quarter revenue record, fueled by extraordinary demand for the iPhone 17 lineup. This strong performance across Apple's product lines contributed to the company's best March quarter ever in terms of revenue.Financial Impact of Rising Chip CostsWhile Apple celebrated its financial success, Cook revealed that the company spent more on memory chips in March than in previous quarters. Although these costs were offset by selling stockpiled inventory, the expectation is "significantly higher memory costs" in June and beyond. These rising costs may "drive an increasing impact" on the business, potentially affecting Apple's profit margins.The "RAMageddon" Challenge Facing AppleCook was referencing what has commonly been called "RAMageddon," the trend of the AI industry consuming memory chips at an astonishing rate, spurring shortages and driving up hardware prices. As primarily a hardware company, this presents a significant challenge for Apple's core products. Most notably, the chip shortage has impacted the iPhone, with RAM costs reportedly quadrupling - affecting production costs and putting incoming CEO John Ternus in a challenging position.Future Outlook: Potential Price Increases and Leadership ChangeOne possible result of the chip shortage may be that Apple increases prices for the iPhone, as Cook noted "there's just a little less flexibility in the supply chain at the moment for getting more parts." Meanwhile, John Ternus, who has served as Apple's senior vice president of hardware engineering, praised Cook as "one of the greatest business leaders of all time" and expressed honor at stepping into the CEO role on September 1. While Ternus will have Cook's supply chain experience to lean on initially, he will face the challenge of navigating the chip shortage landscape as the new leader of Apple.

In a Thursday post on X, Sam Altman confirmed that OpenAI will begin a controlled release of its GPT‑5.5‑powered cybersecurity suite, Cyber, to “critical cyber defenders” after publicly criticizing Anthropic for limiting access to its own tool, Mythos. OpenAI Mirrors Anthropic’s Gatekeeping with Cyber The announcement marks a clear shift from OpenAI’s earlier open‑access stance on its AI models. By restricting Cyber, the company aligns itself with Anthropic’s approach, positioning the limitation as a responsible safeguard against misuse. Application Process and Core Capabilities Prospective users must submit a detailed application outlining credentials, organizational role, and intended use cases. Cyber is designed for penetration testing, vulnerability identification (including exploitation), and malware reverse engineering. The toolkit aims to help enterprises discover security gaps and validate defenses before adversaries can exploit them. Security Community Reactions and Market Implications Industry observers see the move as both a protective measure and a competitive signal. While some praise the caution, others worry that limiting access could slow broader adoption of AI‑enhanced security solutions and give rivals a strategic edge. What’s Next for AI‑Powered Cyber Tools? OpenAI has indicated plans to broaden Cyber’s availability after consulting with U.S. government agencies and verifying user legitimacy. The trajectory suggests a phased expansion, with potential policy frameworks shaping how AI security tools are deployed across the sector.

OpenAI Unveils Advanced Account Security in Partnership with YubicoOpenAI announced on 2026-04-30 a new opt‑in protection suite called Advanced Account Security (AAS) for ChatGPT users. The program is open to anyone but is marketed toward high‑value individuals who face heightened phishing risk.Co‑branded YubiKey C NFC and Nano Bring Hardware‑Based Login to ChatGPTThe rollout includes two new YubiKey models – the YubiKey C NFC and the YubiKey C Nano – jointly branded by OpenAI and Yubico. These USB‑type security keys store a unique cryptographic identifier, enabling password‑less, two‑factor authentication that only works when the physical key is present.Users register the key in their ChatGPT account settings.Login requires the key to be inserted or tapped (NFC), eliminating reliance on SMS or app‑based codes.If the key is lost, OpenAI cannot recover the account, meaning conversations may be permanently inaccessible.Why Hardware Keys Matter for Politically Sensitive Users and EnterprisesOpenAI positions AAS as a safeguard for political dissidents, journalists, researchers, elected officials, and enterprise teams that store confidential data in ChatGPT sessions. The partnership addresses a growing body of research showing that phishing attacks increasingly target AI chatbot users, seeking extortion‑worthy conversational content.Phishing is identified as the primary vector for unauthorized access to AI accounts.Hardware keys provide cryptographic proof of possession, dramatically reducing credential‑theft risk.Adoption could set a new baseline for AI‑driven services where sensitive information is exchanged.Future Outlook: Hardening AI Platforms and Expanding Security EcosystemsAnalysts expect the move to spur broader industry adoption of hardware‑based authentication for AI tools. Yubico CEO Jerrod Chong highlighted the partnership as a template for “digital defense frameworks” that other AI providers may emulate. Upcoming developments may include:Integration of additional hardware security modules (e.g., TPM, biometric tokens).Standardized security APIs across competing AI platforms.Potential regulatory pressure encouraging mandatory two‑factor authentication for high‑risk AI usage.In short, the OpenAI‑Yubico collaboration not only raises the bar for ChatGPT account protection but also signals a shift toward more rigorous security postures across the AI industry.

The Upgrade from Assistant to GeminiGoogle is fundamentally upgrading the in-car experience by replacing the legacy Google Assistant with its advanced Gemini AI model across millions of vehicles equipped with Google built-in. This transition marks a significant leap from simple voice commands to a more fluid, conversational interface designed for safety and utility.Millions of Vehicles on the RoadThe rollout begins in the U.S. with English-language support, expanding over the coming months. Crucially, this update is not limited to new models; it applies to compatible existing cars via software updates. This mirrors the strategy seen with General Motors, which recently revealed Gemini is coming to approximately 4 million vehicles from model year 2022 and newer, spanning brands like Cadillac, Chevrolet, Buick, and GMC.Redefining the In-Car ExperienceThe shift enables drivers to interact with their vehicles using natural language. Users can now ask complex queries, such as finding a highly rated restaurant with outdoor seating along their route. Gemini can then handle follow-up tasks like checking parking availability or menu options based on dietary preferences.Gemini Live: A beta feature allowing for open-ended, real-time conversations.Task Automation: Controlling vehicle settings like heat, music, and navigation.Message Handling: Summarizing and responding to incoming messages hands-free.The Road Ahead for AI IntegrationGoogle plans to expand Gemini support to additional languages and regions, deepening its integration with the broader Google ecosystem, including Gmail, Google Calendar, and Google Home. This rollout signals a broader industry trend where automotive interfaces are evolving from static displays to intelligent, conversational co-pilots.

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.

The Trial Continues Elon Musk's court case against Sam Altman continues on Thursday, after a day of contentious exchanges during OpenAI's cross-examination of the Tesla CEO. Musk will face another round of questioning before his lawyer calls more witnesses, including OpenAI's president, Greg Brockman. The Dispute Over OpenAI's Founding Witness testimony and evidence has revealed formerly private emails, text messages and diary entries surrounding the formation of OpenAI, giving a behind-the-scenes look at how the tech behemoth was created. Many of the tech industry's most powerful players are named as witnesses and will give their account on the origins of Musk and Altman's bitter feud. Altman is set to testify later in the trial, which will last three weeks. Musk's Allegations Against OpenAI Musk, who co-founded OpenAI in 2015, is arguing that Altman, Brockman and OpenAI broke a foundational agreement when they shifted the company from a non-profit intent on bettering humanity into a for-profit structure. Musk claims that Altman and Brockman unjustly enriched themselves and should be removed from the company. He is also seeking the undoing of the for-profit conversion and $134bn in damages to be redirected to OpenAI's non-profit arm. OpenAI's Response OpenAI rejects Musk's allegations and is attempting to show that he was always aware of plans for creating a for-profit entity. The AI firm's attorneys have stated Musk is "motivated by jealousy" of OpenAI's success after he left the company in 2018 after a failed attempt to take control. OpenAI has emphasized that it is still overseen by a non-profit. The Implications of the Trial The trial, which began on Monday with jury selection at a federal courthouse in Oakland, California, has already produced dramatic moments and bold accusations. Musk and OpenAI's lead attorney William Savitt spent most of Wednesday in a heated back and forth, with the world's richest person becoming noticeably frustrated and saying that Savitt's questions "are designed to trick me". The Future of OpenAI Silicon Valley is intently watching the trial for both its blockbuster testimony and the potential effects it will have on the AI industry. OpenAI is intending to go public later this year at around a $1tn valuation, but if Musk succeeds in this case, it could greatly complicate that effort – an outcome that would also benefit Musk's own xAI artificial intelligence firm.

Salesforce's AI Roadmap Strategy Artificial intelligence continues to advance at a dizzying clip, forcing enterprises to develop and release new products quicker than ever or risk becoming irrelevant to a faster-moving competitor. Salesforce believes it has found a strategy that allows it to keep up even if it isn’t clear where AI is headed next. The customer management software giant is crowdsourcing its AI roadmap in real time. Crowdsourcing AI Development Salesforce is certainly not the only company to work intimately with its customers for feedback on its products. However, it’s notable considering the sheer size of the company, the pace of new product launches or fixes to existing ones, and the granular level of these relationships. These aren’t annual or even quarterly discussions. Salesforce is meeting with some customers as often as once a week. The Benefits of Customer Feedback “The 18,000 customers are a wellspring of information and a wealth of information that is really needed to get to customer success,” Jayesh Govindarajan, executive vice president at Salesforce AI, told TechCrunch in a recent interview. “The stack that we’ve built has resonated with these customers. Over time we can get context to be better, and as it gets better, and LLMs get better, agent systems do more and more fully autonomous behaviors. That’s a long-running innovation track and we’re going to invest in that.” Rapid Product Releases Salesforce credits its customers for the rate of its product releases. The company told TechCrunch that by letting its customers lead the way, it is able to build an AI product roadmap that can quickly react to where AI technology is headed. Real-World Applications Engine, a travel management platform, meets with Salesforce weekly and gets access to AI tools before they’re released. PenFed, a federal credit union, developed an IT service management (ITSM) workflow on its own using existing tools and agents in Agentforce. The Future of AI Development This strategy also allows the company to roll out solutions and workflows built by users to its broader customer base too. However, it relies on the classic service sentiment that the customer is always right. Salesforce is hoping they are despite many enterprises still figuring out what role AI will play in their business, and many having yet to find value from the tech.

Manchester United's Transfer Strategy Manchester United is actively pursuing West Ham's left-back El Hadji Malick Diouf to provide competition for Luke Shaw. Diouf, a 21-year-old Senegal international, joined West Ham for €22m (£19m) from Slavia Prague and has become a crucial player for the team. Diouf's Potential and Stats Diouf's defensive skills have improved, and his crossing ability has added to his attacking threat. West Ham is aware of United's interest but may listen to offers depending on their relegation battle status. The Mainoo Contract Extension In a separate move, Kobbie Mainoo has signed a new contract with Manchester United until June 2031, earning a basic salary of about £120,000 a week. Mainoo, 21, has impressed since his first league start and is seen as a potential star by the club's director of football, Jason Wilcox. United's Midfield Priorities Manchester United is initially focusing on strengthening their midfield, with targets including Atalanta's Éderson, Newcastle's Sandro Tonali, and Nottingham Forest's Elliot Anderson. The club may also consider a left-winger or a defensive player to compete with Shaw. Financial Context West Ham's financial position, marked by losses of £104.2m for the year ending 31 May 2025, might influence their willingness to sell players this summer.