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Headlines · 8
- Amazon's About You page goes viral over AI-inferred shopper profiles
Amazon's "About You" page has become a social media hit over the personal traits it infers about shoppers, with users sharing entries such as "has flat buttocks," "cannot keep real plants alive" and "does not trust people easily," and at least one incorrect detail. Launched on 13 May, the page draws on purchase history, searches, saved lists, product reviews and conversations with the Alexa for Shopping assistant, and shoppers can view, edit or delete each item under Shopping preferences in their account settings or ask Alexa, "What do you know about me?" Most entries are generic and some are wrong.
The Next Web · 🔥 9 - Boston Dynamics appoints former Amazon AI leader Rohit Prasad as CEO
Boston Dynamics has appointed former Amazon executive Rohit Prasad as CEO, effective October 7, succeeding Robert Playter, who stepped down in February. Prasad previously led Alexa and Amazon’s general artificial intelligence organization and oversaw development of the Amazon Nova foundation-model family.
科技新报 · 🔥 16 - Meta, Sierra and partners launch Personal Agent Protocol for AI agent commerce
Enterprise AI startup Sierra said on Oct. 6 that it is developing the Personal Agent Protocol (PAP) with Meta and companies including Walmart, Shopify and Stripe — an open standard governing how user-authorized personal AI agents access businesses' websites, APIs and services. Sierra co-founder Bret Taylor said the protocol is designed to handle authentication, empower consumers and give companies visibility into what personal agents do through their sites, APIs or company agents, and that it is open for anyone to implement; Meta's David Singleton compared it to email as a universal standard. The move follows Amazon blocking Meta's Muse agent from its retail site and reports of agents hitting anti-bot blocks on other retail sites, where users often cannot tell whether a block is intentional or accidental.
CNBC Technology · 🔥 24 - AWS explains ISO/IEC 42005:2025 AI impact assessment guidance
AWS published a post on how organizations can use the ISO/IEC 42005:2025 standard to run AI system impact assessments and fold them into existing enterprise risk, privacy and security reviews. It covers the standard's guidance on when to assess, lightweight triage, required documentation and reassessment triggers, plus Annex D for integrating existing assessments without duplication and Annex E for a standalone template. AWS also points to its Well-Architected Responsible AI Lens and its ISO/IEC 42001 implementation guide, and says Amazon Bedrock, Amazon Q Business, Amazon Transcribe and Amazon Textract hold ISO/IEC 42001 certification.
AWS Machine Learning Blog · 🔥 5 - Alexa Plus bug makes Echo speakers repeat or sing “lalala”
Amazon says a bug is causing a small number of Alexa Plus users’ Echo speakers to repeat or sing “lalala” for minutes, sometimes during conversations. The issue has been reported across multiple Echo models, and Amazon says a fix is in progress.
The Verge AI · 🔥 4 - Why US communities are resisting AI data centers
The article examines growing US community opposition to AI data centers, citing concerns over electricity prices, water use, noise, limited long-term employment and strained local infrastructure. It argues that fragmented power markets, lengthy permitting processes and the rush to expand AI capacity are deepening tensions between technology companies, governments and residents.
36氪 人工智能 · 🔥 4 - Guide: downgrading user roles in Amazon Quick
An AWS tutorial explains how to downgrade Amazon Quick users from Admin or Author to Reader. Because the console offers no direct path from Admin to Reader or Author to Reader, it presents two approaches: transfer ownership of dashboards, datasets and analyses first, then delete and recreate the user; or use the AWS CLI to step down through Admin > Author > Restricted Reader > Reader (Pro users can use the legacy roles as intermediate steps). The post stresses least-privilege practice and notes that Readers are priced per session, so right-sizing view-only users to Reader can cut costs.
AWS Machine Learning Blog · 🔥 0 - TypeSafe AI’s Jev sparks interest in non-generative decision models
TypeSafe AI’s Jev is a decision model that maps inputs to predefined outputs such as yes/no answers, scores, or list selections instead of generating free-form text. CEO Diogo Almeida claims the model is used by about 25% of Fortune 500 companies and processed one trillion tokens per day roughly a week before the report, while separate reports say the startup is discussing a new funding round; these claims were not independently verified in the source.
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