Snippings

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Claire Vo asked Muse to buy a cinema ticket. The agent opened its browser, found the showing at a Cinemark in Daly City, selected a seat and went through guest checkout with a one time card from Stripe Link. It would have completed the purchase if she had let it.

Consider what Cinemark would have recorded. A guest. No account, no loyalty number, no email address it had seen before, and a card that stops working after a single use. A real customer, real money, and nothing to recognise her by next month.

From: (1) Nobody Agreed What A Trusted (Personal) Agent Is | LinkedIn.

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Selection and holding of items from a limited inventory or stock, but which are never actually bought, or paid for, or confirmed, such that other users are unable to buy/pay/confirm the items themselves.

From: OAT-021 Denial of Inventory | OWASP Foundation.

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Muse caught on quickly and only a week after launch was the No. 1 free app in Apple’s U.S. App Store. Early users have described it switching an auto insurance policy, hunting down discount codes at checkout, and loading an online grocery cart.

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Amazon generated more than $68 billion in ad revenue last year — a business that depends on people browsing its pages and seeing sponsored products.

From: Amazon blocks Meta’s Muse AI assistant in new standoff over agentic shopping – GeekWire.

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The London Stock Exchange is assessing a UK tokenised equity structure designed to broaden access to capital markets whilst preserving the shareholder rights, protections and governance standards that underpin public markets today. The work will consider how LSEG’s Digital Securities Depository (LSEG DSD) could support settlement and asset servicing, subject to regulatory approval.

From: London Stock Exchange to launch UK tokenised equity structures and announces partnership with Payward to explore tokenised public equity markets | LSEG.

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The London Stock Exchange’s partnership with Payward will focus on exploring how digital-native access, wallet-based interaction and partner infrastructure could connect with LSEG’s regulated market ecosystem to facilitate seamless connectivity between tokenised and traditional infrastructure. Together, the two firms will explore opportunities to connect regulated capital markets with on-chain ecosystems, building a route for issuers and investors to make greater use of private and public blockchains, where relevant regulatory obligations, including AML and operational resilience, can continue to be met.

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Meta, Google and X all launched Personal AI this month. Payments spent two years preparing for this. Retail, travel and insurance did not.

From: (2) Nobody Agreed What A Trusted (Personal) Agent Is | LinkedIn.

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Data science helps determine who receives betting incentives, but the company has resisted using similar technology to protect gamblers at risk of addiction.

From: At DraftKings, AI Targets the Gamblers Likeliest to Lose – The New York Times.

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The most popular AI models from ChatGPT, Claude, Copilot, Grok and Gemini provided wrong answers to financial queries 57 per cent of the time on average, according to research from technology firm Saturn.

When asked more complex questions, such as those which involved more than one calculation, the AI models made mistakes in 88 per cent of cases on average. Some models gave wrong answers to 99 per cent of these harder questions.

From: AI chatbots give wrong answers to financial queries ‘most of the time’.

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Total losses to financial fraud worldwide hit $442bn last year, according to an estimate by the Global Anti-Scam Alliance trade body based on its survey of 46,000 people across the world.

From: Cyber criminals use AI to supercharge scams, watchdog warns.

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The European Central Bank’s presentation to the Euro Retail Payments Board in April 2026 describes the offline digital euro as comparable to a bearer instrument: funds spendable without connectivity, immediately re-spendable offline, held in an applet on a secure element that debits and credits a balance, with settlement final locally between the two devices.

From: The offline digital euro: when the secure element fails, what remains? – OMFIF.

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