App Store chaos, ray tracing, and new Macbook Air rumors
This week on The Vergecast, Paul, Nilay, and Dieter start off the show with the news that Netflix is testing a payment feature to bypass Apple’s App Store fees, which leads into a larger discussion of (as Nilay calls it) “App Store chaos.” Paul seems pretty excited about “ray tracing” — a term that Nvidia is using for its upcoming graphics cards — so the crew explains what that means and how far ahead Nvidia is compared to its competition. Competition is a general theme in this week’s episode. We’ve also got our two recurring segments in the show: deputy editor Liz Lopatto’s “This Week in Elon Musk” (which is now a newsletter) and Paul’s segment “Cold ears, warm heart.” And we must not forget the latest Apple rumors that have hit the news in preparation for the likely Apple event in September. But there’s a whole lot more in between that, so listen to it all and you’ll get it all. 03:35 - Netflix is testing a payment feature to bypass Apple’s App Store fees 20:39 - ‘Ray tracing’ could bring the biggest graphics jump in a decade 30:59 - DJI’s new Mavic 2 drones have upgraded cameras and zoom lenses 34:34 - Nikon strikes back at Sony with first full-frame mirrorless cameras 40:09 - This week in Elon Musk with Liz Lopatto 44:15 - Apple’s MacBook Air successor will reportedly have slim bezels and high-res Retina display 51:14 - Microsoft to bundle Xbox One consoles, Xbox Live, and Game Pass into a monthly subscription service 52:56 - Paul’s weekly segment “Cold ears, warm heart” 53:52 - A day in the life of a Waymo self-driving taxi
Learn more about your ad choices. Visit podcastchoices.com/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.