California Screamin’ with Erica Rhodes + Robots Are Finally Taking Over!
In this episode of The Adam Carolla Show, comedian Erica Rhodes joins Adam in the studio! They kick things off by unpacking some of California’s most ridiculous laws—especially those related to fireworks—as Adam reveals which cities go all out on the Fourth of July. Adam also reflects on the passing of actor Michael Madsen, sharing a story from when he appeared on the show, and recounts a recent conversation that perfectly captures his personality. Later, they react to a baffling speech from Gavin Newsom filled with trademark political word salad.
In the news with Jason “Mayhem” Miller, reports reveal that Amazon now employs more robots than humans, while Hertz faces backlash for its AI damage scanners charging customers for tiny scuffs. Plus, a man is convicted for impersonating a flight attendant to score over 120 free flights, and new research shows a single dose of psilocybin—aka magic mushrooms—can provide up to five years of depression relief.
Get it on.
FOR MORE WITH ERICA RHODES
INSTAGRAM & TWITTER: @ericarhodes
WEBSITE: www.ericarhodescomedy.com
FOR MORE WITH JASON “MAYHEM” MILLER:
INSTAGRAM & TWITTER: @mayhemmiller
WEBSITE: www.mayhemnow.com
Thank you for supporting our sponsors:
- BetOnline
- BetterHelp.com/CAROLLA
- Listen to Cocaine Air wherever you get your podcasts
- Homes.com
- oreillyauto.com/ADAM
- Pluto.tv
- simplisafe.com/ADAM
LIVE SHOWS:
- July 10 - Irvine, CA (Live Podcast)
- July 11-12 - Covina, CA (4 shows)
- July 16 - Rosemont, IL
- July 17 - Plymouth, WI
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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.