Bixby launches, Alexa on Android, and a new hyperloop
Summer editions of The Vergecast continue as Nilay and Dieter welcome Ashley Carman and Jake Kastrenakes back to the show to discuss the news that hit the site this week. Elon Musk said he got “verbal” approval from The White House to build a hyperloop on the East Coast, Comcast is back at it again with statements on net neutrality, and we’ve got a few updates in the AI department. Also, Lauren Goode updates us on the newest episode of her series Next Level once again! This week, she visited Dolby Labs to explore their experiments to track people’s emotional responses as they watch movies and TV. There’s a lot more in between that, so listen to it all and you’ll get it all. 02:52 - Pacific Rim: Uprising’s teaser 05:24 - Elon Musk says he has a green light to build a NY-Philly-Baltimore-DC hyperloop 11:47 - Bixby feels more like a return of the old Samsung than a path to the future 20:27 - Next Level episode 2 with Lauren Goode 37:21 - You’ll be able to talk to Alexa on Android phones starting this week 40:25 - Why is Comcast using self-driving cars to justify abolishing net neutrality? 44:09 - Microsoft wants to close the rural broadband gap with TV white spaces 51:58 - Ashley’s weekly segment “Let’s talk about translucent gadgets” 54:26 - Google Glass is back from the dead 58:04 - Snap’s Spectacles are now available directly from Amazon 1:00:18 - How Instagram is reshaping restaurant design 1:04:25 - Apple joined by Foxconn and others in its fight with Qualcomm
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.