An Interview with Michael Morton About AI E-Commerce (stratechery.com)

I can’t summarize Michael Morton’s interview because the text you provided contains only Stratechery subscription and FAQ material — no interview content or quotes. There’s nothing in the supplied document about the topics, announcements, or claims Morton made, so I can’t accurately report what happened or the specific technical details he discussed. If you paste the interview transcript, link, or key excerpts, I’ll produce the concise 2–3 paragraph summary you asked for. That said, an interview titled “AI E‑Commerce” would matter to the AI/ML community for predictable reasons: advances in recommendation models, retrieval-augmented generation for product search, embedding-based similarity for catalog matching, inventory and demand forecasting with time-series models, real‑time personalization and pricing using online learning, and the operational implications for data pipelines, latency, and model deployment. Key technical considerations would include model architectures (transformers vs hybrid systems), data requirements and labeling, privacy and compliance (PII, GDPR), evaluation metrics for revenue vs. user experience, and MLOps costs/scalability. If Morton discussed any of these concretely — e.g., new architecture, improvements in latency, or integration strategies — those are the points I’ll highlight once you provide the actual interview text.