Why The Moon's Near And Far Sides Look So Different
*Why the Moon’s near and far sides look so different
A new study supports earlier claims that the dichotomy between the lunar near and far side was caused by a colossal ancient impact billions of years ago.
*The Large Hadron Collider restarts operations
After a break of over three years the world’s largest atom smasher -- the Large Hadron Collider at CERN -- is once again sending beams of proton packets around its 27 kilometre underground ring.
*Axiom Space crew return to Earth
The SpaceX Axiom- Ax-1 space tourism flight to the International Space Station has ended safely with the team splashing down in the North Atlantic Ocean off the coast of Florida.
*Busy times aboard the International Space Station with the arrival of crew 4
Just a few days after the Axiom AX-1 team left the International space station -- NASA’s SpaceX Crew-4 Dragon capsule has successfully docked to the orbiting outpost’s Harmony module brings new crew members aboard.
*The Science Report
Seven different physical characteristics that help people avoid catching COVID-19
Discovery of new ichthyosaurs that may have been among the largest animals to have ever lived.
A new study looks at what kitty cat really gets up to when she goes outside.
Alex on Tech: Elon Musk’s 44 billion dollar bid to take over social media giant twitter.
Listen to SpaceTime on your favorite podcast app with our universal listen link: https://spacetimewithstuartgary.com/listen
For more SpaceTime and show links: https://linktr.ee/biteszHQ
If you love this podcast, please get someone else to listen to. Thank you…
To become a SpaceTime supporter and unlock commercial free editions of the show, gain early access and bonus content, please visit https://bitesz.supercast.com/ . Premium version now available via Spotify and Apple Podcasts.
For more podcasts visit our HQ at https://bitesz.com
#podcast #space #science #astronomy #spacetime #lhc #news #podcasts
Become a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.
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.