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 11 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

Assertion Partly supported
Wilson: YouTube sold to Google due to copyright fight costs
“Right, but that ultimately caused them to have to sell to Google. Because they concluded that they couldn't continue to play the game that way, which was the right way to play the game. As an independent company. They needed somebody who could fight the conten…”
Fred Wilson Jan 2, 2019 ▶ 17:19 a16z Podcast | Technological Trends, Capital, and Internet 'Disruption'
Assertion Supported
Dixon: PewDiePie joined a crypto streaming platform for community ownership
“One of the top game streamers recently moved over to a crypto version of game streaming, precisely because this guy named PewDiePie, most popular person on YouTube because, precisely because he can be part of, for the reasons I articulated here, that he moved …”
Chris Dixon Aug 29, 2019 ▶ 13:02 Social Networking in 2030: How Could Crypto Change Things?
Assertion Supported
Chen: Deep learning enables robots to cook from YouTube videos
“There are systems where robots are learning to cook food by watching YouTube videos of people cooking food. There's systems that can take photos and paint them in the style of Renoir or Van Gogh. There's algorithms that can create paintings that are indistingu…”
Frank Chen Jan 2, 2019 ▶ 24:35 a16z Podcast | The Dream of AI Is Alive in Go
Assertion Contradicted
Riccitiello: Gaming content is YouTube's single largest category
“I believe the single largest category on YouTube is watching people play video games.”
John Riccitiello Mar 16, 2020 ▶ 19:10 How Gaming is Changing the Media Landscape
Assertion Supported
Chen: YouTube auto-subtitled over one billion videos using AI
“It's the same technology that allows YouTube to subtitle their videos. Which they've done for a billion YouTube videos with no human involvement.”
Frank Chen Dec 8, 2017 ▶ 4:30 AI: What's Working, What's Not
Assertion Supported
Katzenberg: YouTube takes a 45% distribution fee on creator advertising revenue
“They would take a 45% distribution fee. And they would actually sell programmatic advertising.”
Jeffrey Katzenberg Jan 2, 2019 ▶ 18:52 a16z Podcast | On Marrying Entertainment and Technology
Assertion Supported
Evans: Direct traffic accounts for only one-quarter of BuzzFeed content views
“There's a great chart from BuzzFeed, information from BuzzFeed on where people watch content on BuzzFeed. And, you know, it's one quarter is direct, and then it's YouTube and Facebook video and Facebook images and Snapchat.”
Benedict Evans Jan 2, 2019 ▶ 29:27 a16z Podcast | Bots and Beyond
Assertion Supported
Google Arts & Culture Surpassed Messenger and YouTube in Downloads
“And this was so successful that ultimately the app became the most downloaded free app on both the app store iOS and also Google play for Android. And it was actually bigger than both messenger and YouTube, right?”
Andrew Chen Dec 8, 2018 ▶ 7:27 What's Next in Consumer Startups?
Assertion Supported
Despacito Reached 3 Billion YouTube Views Five Times Faster Than Gangnam Style
“Gangnam Style took five years to hit three billion views and Despacito's done it in under a year.”
Andrew Chen Dec 8, 2018 ▶ 17:15 What's Next in Consumer Startups?
Assertion Supported
Chen: AI algorithms can generate written recipes by watching cooking videos
“Algorithms are now able to watch the exact same videos that you're watching on YouTube or Facebook, and they're basically able to retroactively create the cookbook instructions for that recipe.”
Frank Chen Jul 16, 2017 ▶ 17:10 The Promise of AI
Assertion Partly supported
Frank Chen: Andrew Ng's 2012 Google Brain experiment used 16,000 cores
“What Andrew Ng, at the time, he was a Stanford professor who worked on this research, used as data, was YouTube videos. So he got ten million YouTube videos. He took 200 by 200 stills from those videos, and that's the training set. And then the other dimension…”
Frank Chen Jul 15, 2017 ▶ 24:29 AI, Deep Learning, and Machine Learning: A Primer
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