The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Insight
Misra: Crawling YouTube for AI training data creates enterprise sales liability
“If the goal is to sell to enterprise, it's like really hard to justify it if you're crawling YouTube”
Gaurav Misra Feb 20, 2025 ▶ 34:46 From Selfie to Studio: Captions CEO on AI Video for 10M Creators
Assertion Partly supported
Evans: OpenAI lacks visibility into user search, purchases, and social media activity
“Back to open AI, they've got a partial view on you, but like, they don't know what you've bought. They don't know what you've searched for. They don't know where you go. They don't know what Instagram you look at and what TikTok you look at and what YouTube yo…”
Benedict Evans May 22, 2025 ▶ 55:06 AI Eats the World: Benedict Evans on What Really Matters Now
Assertion Not checkable as stated
Most YouTube advertisers do not know what video content they target
“Most YouTube, I mean, advertisers don't really know what's going on in the YouTube videos they advertise against.”
Evan Macmillan Sep 14, 2015 ▶ 13:27 Evan Macmillan, Gridspace // How Machines Enter The Conversation (Hosted by FirstMark Capital)
Insight
Models trained on stock images fail to generalize to real-world video
“Classifiers that are and models that are trained in tune on this particular, on iconic type of data don't really generalize as well when you apply it to something that you might see in a real-world video like on YouTube or on Periscope.”
David Luan May 28, 2015 ▶ 10:38 David Luan, Dextro // Real-World Video Understanding (FirstMark / Data Driven NYC)
Assertion Supported
In 2015, 300 hours of video were uploaded to YouTube every minute
“Around 300 hours of video, it's probably even more now actually, are uploaded to YouTube every minute right now.”
David Luan May 28, 2015 ▶ 0:40 David Luan, Dextro // Real-World Video Understanding (FirstMark / Data Driven NYC)
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