Lamda Lamda LinerBoo
Caffeine is a hell of a drug and Bryan has had too much! Discussion around Jolt Cola and other highly caffeinated drinks brings up questions of how addicted we are to "natures wake up call"! It's hot in Atlanta and in the studio under the bright lights of mediocre podcast fame. Also, A scary report out of a Google secret lab has many wondering if AI has already turned the corner and become self aware. An engineer claims that LaMDA AI program has become sentient! It's really F'n scary! Finally, Paul Cruz is back with his cold calling prowess to show the world how effective a cold caller can be......uh.....he got hung up on! Part 2 of the clip is reviewed.
LINKS:
- Send us show ideas, comments, questions or concerns: 1.626.ASK.TCB3 text or leave us a voicemail
- Watch TCB on YouTube
- Creator: Bryan Green
- Co-Host: Bryan Green
- Co-Host: Krissy Hoadley
- Producer: Christina A.
- Producer: Gustavo B.
To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy
Learn more about your ad choices. Visit https://podcastchoices.com/adchoices
TCB is a The Commercial Break LLC production
Visit: www.TCBpodcast.com
Insta: @thecommercialbreak
Bryan Green on Insta: @BryanWGreen
Hosts: Bryan Green & Krissy Hoadley
Created by: Bryan Green
Written by: Bryan Green, Krissy Hoadley
Produced by: Astrid Green & Gustavo
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.