New York Times
AI subscriptions are rapidly taking over baby nurseries adds the New York Times through Sapna Maheshwari’s reporting on AI baby monitors and parenting apps. In this source, the organization functions as the reporting context behind claims about Nanit, Hatch, AI Parenting Advice, Child Bedroom Data Privacy, and whether data-driven nursery products help parents or intensify vigilance.
AI-powered chatbots sent some users into a spiral adds the New York Times through Kashmir Hill’s reporting on AI Psychosis and long ChatGPT conversations. In this source, the organization functions as the reporting context for claims about chatbot validation loops, mental-health crises, OpenAI safety changes, and the caution needed around direct causation.
How to make a BOOK into a bestseller adds the New York Times as the institution behind the New York Times bestseller list. The source uses Patrick Healy and historical cases involving Gene Shepard, Jacqueline Susann, and William Peter Blatty to frame the list as a data-based but opaque editorial product with large commercial consequences.
Brands are racing to show up in AI search adds the New York Times through Erin Griffith’s reporting on Answer Engine Optimization. In this source, the organization functions as the journalism context for Griffith’s explanation of why brands are publishing more dense, factual, machine-readable material so AI chatbots can describe them accurately.
The ‘biohacking’ trend that has tech workers experimenting on themselves adds the New York Times through Jasmine Sun’s reporting on Gray-Market Peptides and Silicon Valley Tech-Culture Biohacking. In this source, the organization is the reporting context behind the episode’s claims about research-chemical labeling, cheaper GLP-1 Agonists, and the cultural transfer of startup experimentation into personal health risk.
The New York Times enters the wiki through Mike Isaac’s affiliation in Meta’s big bet on superintelligence. In this source, it functions as the reporting context behind Isaac’s commentary on Meta’s AI spending, Meta AI, AI Advertising Targeting, Ray-Ban smart glasses, and Reality Labs.
Would you trust an economist with your economy? adds the New York Times through Ben Castleman’s economics reporting. Castleman helps frame the American Economic Association panel as evidence that economists’ public authority is under pressure from policy mistakes, political distrust, and the need for Expert Trust Repair.
Connections
- Patrick Healy - Times voice defending the bestseller-list methodology in the Planet Money episode.
- Kashmir Hill, AI Psychosis, Chatbot Safety Guardrail Decay, and OpenAI - AI mental-health and safety reporting branch added through Marketplace Tech.
- New York Times Bestseller List, Bestseller List Opacity, Bestseller Status Feedback Loop, Bulk Book Buying, and Book Laundering - ranking and publishing-economics branch added by Planet Money.
- Ben Castleman - economics reporter discussing trust in economists.
- American Economic Association, Economist Trust Crisis, and Expert Trust Repair - economics-politics branch added by Planet Money.
- Erin Griffith - reporter affiliated with the organization in the Marketplace Tech AEO episode.
- Jasmine Sun - reporter whose peptide reporting grounds the Marketplace Tech biohacking episode.
- Gray-Market Peptides, Research Chemical Loophole, and Tech-Culture Biohacking - health and technology-culture branch added through Sun’s reporting.
- Answer Engine Optimization, Generative Engine Optimization, and AI Search Advertising - AI-search visibility and trust themes Griffith discusses.
- Mike Isaac - reporter affiliated with the organization in the Marketplace Tech episode.
- Marketplace Tech - show that interviews Isaac.
- Meta and Personal Superintelligence - main topic cluster in the source.