PlayStation Coming to Netflix?! - Kinda Funny Games Daily 07.16.21
A datamine makes it look like PlayStation games are coming to Netflix. Do you believe it? Does Janet Garcia believe it? Does Greg secure a Steam Deck during this show? Let's find out!
Follow Janet: https://twitter.com/Gameonysus
Time Stamps -
00:00:00 - Start
00:03:00 - Housekeeping
Thank you to our Patreon Producer Black Jack!
The Roper Report -
00:11:56 - PlayStation Coming to Netflix?! Chris Scullion @ VGC
00:20:00 - Rainbow Six Extraction AND Riders Republic Delayed
00:27:50 - STEAM DECK FOLLOW-UPS!
00:35:35 - Could this become the swiss army knife of handhelds? - Best Friends Q:JordOnDrums (Jordon)
00:47:00 - Ad
00:49:29 - NPD REPORT! Jeffy Grubb Gruub @ Gamesbeat
00:53:50 - You Almost Got a Happy Gilmore Game
00:53:20 - Out today
01:02:00 - You‘re Wrong
Tomorrow’s Hosts:
TUE: Greg and Gary
WED: Blessing and Andy
THURS: Greg and Tim at a special time -- NOON Pacific!
FRI: Greg and Blessing
Learn more about your ad choices. Visit megaphone.fm/adchoices
More description
A datamine makes it look like PlayStation games are coming to Netflix. Do you believe it? Does Janet Garcia believe it? Does Greg secure a Steam Deck during this show? Let's find out!
Follow Janet: https://twitter.com/Gameonysus
Time Stamps -
00:00:00 - Start
00:03:00 - Housekeeping
Thank you to our Patreon Producer Black Jack!
The Roper Report -
00:11:56 - PlayStation Coming to Netflix?! Chris Scullion @ VGC
00:20:00 - Rainbow Six Extraction AND Riders Republic Delayed
00:27:50 - STEAM DECK FOLLOW-UPS!
00:35:35 - Could this become the swiss army knife of handhelds? - Best Friends Q:JordOnDrums (Jordon)
00:47:00 - Ad
00:49:29 - NPD REPORT! Jeffy Grubb Gruub @ Gamesbeat
00:53:50 - You Almost Got a Happy Gilmore Game
00:53:20 - Out today
01:02:00 - You‘re Wrong
Tomorrow’s Hosts:
TUE: Greg and Gary
WED: Blessing and Andy
THURS: Greg and Tim at a special time -- NOON Pacific!
FRI: Greg and Blessing
Learn more about your ad choices. Visit megaphone.fm/adchoices
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.