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 4 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
Chen: AlphaGo Zero used 4 TPUs and 3 days, crushing prior versions
“It was 48 TPUs versus four. It was three days versus 40. It was thirty million trained games versus 4.9. So Order of magnitude improvement on all of those dimensions.”
Frank Chen Jan 2, 2019 ▶ 7:19 a16z Podcast | Revenge of the Algorithms (Over Data)... Go! No?
Assertion Partly supported
Chen: Google powers DeepMind algorithms using commodity x86 PC hardware
“Like if you look at an x-a-t-e-s server in a data center, exactly the servers that Google is using to compute deep mind algorithms, they're PCs.”
Frank Chen Jan 2, 2019 ▶ 7:26 a16z Podcast | The Dream of AI Is Alive in Go
Assertion Supported
Shanahan: DeepMind's published DQN algorithm lacks inner rehearsal capabilities
“For the bit of work that they actually published, I think one of its shortcomings, actually, is that, in fact, although it has done all that learning about what the right action to do in, in the right circumstance is, it doesn't actually do in a rehearsal. It …”
Murray Shanahan Jan 2, 2019 ▶ 7:21 a16z Podcast | Artificial Intelligence and the 'Space of Possible Minds'
Assertion Supported
2022 DeepMind paper showed dataset size matters more than parameter count
“In fact, in twenty-twenty-two, a pivotal paper came out that changed the way that many people in the research community thought about this very calculus. And it demonstrated that datasets were actually more important than just the sheer size of the model.”
Anjney Midha Dec 28, 2023 ▶ 0:12 Safety in Numbers: Keeping AI Open
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