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

Prediction Not checkable as stated
Schuler: Poaching academic AI talent risks leaving no experts to train students
“I think there's a huge problem where there's a lot of risk that to get the people that can solve the difficult problems, there won't be anyone to train them.”
Cameron Schuler Jan 2, 2019 ▶ 10:29 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Google will eventually be disrupted in advertising
“From my perspective, their risk is, 80% of the revenue is generated by advertising. They are going to get disrupted in that at some point.”
Cameron Schuler Jan 2, 2019 ▶ 10:06 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Genetic algorithms will never succeed in capital markets
“If you take a look at capital markets, the domain space is, I mean, the dimensionality of data is so huge that a genetic algorithm is never going to get there.”
Cameron Schuler Jan 2, 2019 ▶ 23:46 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Superintelligent AI will not arrive within his lifetime
“I, you know, in my lifetime, and I hopefully am Somewhere around halfway through it. I don't think that we'll, we'll get there”
Cameron Schuler Jan 2, 2019 ▶ 25:40 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Heavy backend AI processing won't work for mobile-first markets
“The way I see the world moving certainly is more mobile, and if you are relying on some big back end where it has a lot of processing power, it's not going to work, so it's really about training systems and bringing them into mobile and things like that, espec…”
Cameron Schuler Jan 2, 2019 ▶ 23:58 a16z Podcast | Machine Intelligence, from University to Industry
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