LIVE from the GRAND CANYON, yes it's REAL - RAWtalk Episode #135
WARNING: this is a very visual episode that I highly suggest you watch the video if you can!!!
No that was not a massive green screen, we were truly filming RAWtalk on the edge of the Grand Canyon thanks to AdventureDriven.com. Can you believe how amazing it looks. We filmed this weeks show with two Canon C300’s, a 5D Mark III, GoPro and DJI Phantom 3 PRO for the arial shots.
This weeks sponsor so happens to be a LIFE SAVER for shooting landscape photos. HOYA supplied me with all the filters I needed to help make my pictures go BOOOOOOMMMM at the Grand Canyon. Having their circular polarizers on my lenses helped pump up the sky as well as the color in my images. Just think how amazing the world looks when you where polarized sunglasses. Now add that in front of your camera lenses and you have fantastically vibrant photos. Here is a link to the exact CP I used form HOYA http://www.hoyafilter.com/hoya/products/hdfilters/hdfiltercirpl/
As you can tell this weeks show took us to an amazing place. We had to change up the show slightly for obvious reasons but we cranked through photo news which included two main but very long stories. One involves Anthony Mazur a 16 year old High School student and the other Richard Prince who took peoples Instagram Photos and sold them for upwards of $100,000.
You can check out the FULL Photo News Stories and more at FroKnowsPhoto.com/rawtalk-135
We had a ton of gear out with us but this weeks Gear of the Week was the Hoya Filters and step down rings which were a life saver. Also JOBY sent us car mounts for our GoPro’s which turned out to be freaking amazing. We had them attached to our vehicles in so many situations and they handled the harsh environment with flying colors.
If there is an amazing place you would like to help bring RAWtalk please feel free to email me directly at Jared AT FroKnowsPhoto.com with all the information.
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.