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Headlines · 3

  1. OpenAI Dot vs Meta Muse: two agent philosophies

    TechNews compared the new AI agents from OpenAI and Meta. OpenAI's Dot targets work scenarios and is built on the GPT-6 Astra model; each Dot gets its own cloud compute and browser, can run multiple projects at once, and connects to more than 4,000 app plugins plus platforms such as Slack and Microsoft Teams. The report says Dot is expensive and gated: individuals need at least the $100-per-month Pro 100 plan, Business Premium costs $100–125 per user per month, and it is currently available only to eligible users outside the EEA, Switzerland and the UK. Meta's Muse is positioned as a personal life assistant that handles email, restaurant bookings, form filling, price comparison and online shopping, supporting Gmail, Google Calendar, OpenTable, Instacart, Expedia and Shopify; it runs on a dedicated, isolated cloud virtual machine and always asks for user authorization before sensitive actions such as sending mail or making payments. Muse offers a free tier with usage limits plus $20 and $100 paid tiers, and has launched first in the US and Canada.

    科技新报 · 🔥 0
  2. A month in, Meta's Muse kicks off a personal-agent land grab

    Meta launched its personal agent Muse in the US on Sept. 8, giving users a dedicated cloud computer where tasks keep running after the app is closed; internal data cited by The Information put weekly active instruction-givers above 3 million. Manus released Cue, a standalone personal agent app, on Sept. 28 with its own email, phone number, wallet and computer, while OpenAI introduced Dots on Sept. 29. Amazon blocked Muse on Sept. 20 over unauthorized AI agents, but Instacart said two days later it plans to plug grocery shopping into Muse; Reuters, citing Citi, reported on Oct. 6 that Muse revenue could exceed $27 billion by 2030.

    36氪 人工智能 · 🔥 0
  3. CAP urges FTC to curb AI-driven surveillance pricing

    A Center for American Progress brief introduces "surveillance pricing": AI letting firms cheaply mine personal data, behavior and circumstances to gauge willingness and ability to pay, and price accordingly. It urges the FTC to pair disclosure rules with substantive safeguards and a genuine right to opt out. The brief cites an investigation in which Instacart's Eversight AI pricing software tested different prices on shoppers without their knowledge, with some paying up to 23% more for identical groceries at the same store and moment; Instacart stopped the tests and the FTC opened an investigation. The FTC issued a proposed policy statement on personalized pricing in August 2026, and several states, including Maryland, Connecticut and New Jersey, have passed laws, with New York's Uniform Fair Pricing Act awaiting the governor's signature.

    虎嗅 AI · 🔥 0

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