#175: Answer in French
Happy day before Thanksgiving, everybody! We know you’re probably in transit to see some people you haven’t seen in awhile and you might be nervous. But don’t worry! We’ve got you covered. Adal and JPC have advice for any situation you might run into this weekend. The Clew Crew also does some listener submitted riddles and reinvents some classic literature. We probably make it worse-but we won't say! (we make it worse) Ok! Well. See you later! Bye!
Starring:
Editing by:
Theme by:
Logo by:
Emily Kardamis & Emmaline Morris
Want more? Get Weekly Bonus Eps on Patreon!
Want merch? Visit our TeePublic Store! or pins, buttons & prints
Want to advertise on the show? Check out Hey Riddle Riddle via Gumball.fm
See omnystudio.com/listener for privacy information.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
More description
Happy day before Thanksgiving, everybody! We know you’re probably in transit to see some people you haven’t seen in awhile and you might be nervous. But don’t worry! We’ve got you covered. Adal and JPC have advice for any situation you might run into this weekend. The Clew Crew also does some listener submitted riddles and reinvents some classic literature. We probably make it worse-but we won't say! (we make it worse) Ok! Well. See you later! Bye!
Starring:
Editing by:
Theme by:
Logo by:
Emily Kardamis & Emmaline Morris
Want more? Get Weekly Bonus Eps on Patreon!
Want merch? Visit our TeePublic Store! or pins, buttons & prints
Want to advertise on the show? Check out Hey Riddle Riddle via Gumball.fm
See omnystudio.com/listener for privacy information.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Listen elsewhere
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.