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What the podcasts are saying about
NYT
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Episodes
Latest attributed ideas · most recent first
24 JULA16Z PODCAST · 03:40
Internet platforms disrupt legacy print ad revenues
“The speaker argued that tech platforms structurally captured advertising dollars from print media by providing targeted efficiency following the 2008 financial crisis.”
In depth · 4/5Verify in source →
24 JULA16Z PODCAST · 02:50
Decentralized crypto truth to disrupt legacy media
“The thesis was argued that decentralized cryptographic truth and citizen journalism platforms like Farcaster will disrupt traditional media outlets like The New York Times by providing verifiable, on-chain facts.”
In depth · 4/5Verify in source →
24 JULALL-IN WITH CHAMATH, JASON, SACKS & FRIEDBERG · 02:18
Proprietary AI training model vulnerable to copyright liabilities
“The argument was presented that proprietary AI developers face compounding legal liabilities and potential revenue-sharing mandates for training on copyrighted data without explicit consent.”
In depth · 4/5Verify in source →
24 JULA16Z PODCAST · 04:50
Direct AI licensing favors legacy media monetization
“Legacy media companies licensing content directly to AI model developers were framed as unexpected beneficiaries in the AI transformation.”
Substantive discussion · 3/5Verify in source →
24 JULBANKLESS · 08:15
Hyper-local and unique content gains AI value
“AI licensing is shifting value toward non-fungible, highly specific local data sources over commoditized national media synthesis.”
In depth · 4/5Verify in source →
24 JULEXCESS RETURNS · 08:15
Incorporating intangible asset metrics restores value factor performance
“The guest argued that expanding value metrics to include intangible capital and complementary assets allows value strategies to perform consistently across both disrupted and insulated sectors.”
Core thesis · 5/5Verify in source →
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MENTIONS & DEPTH REFLECT PODCAST DISCUSSION VOLUME · NOT A RATING, FORECAST, OR RECOMMENDATION