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 6 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
Hoffman: Advanced AI models cannot overcome exclusive access to core data
“In that world, even the most advanced models, deep learning, and machine learning frameworks can't beat them because they have access to this kind of core underlying data.”
Auren Hoffman Nov 20, 2017 ▶ 8:46 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Insight
Hoffman: Great data usually beats great algorithms in machine learning
“Great data usually beats great algorithms.”
Auren Hoffman Nov 20, 2017 ▶ 0:46 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Insight
Hoffman: Most so-called data companies are actually application companies
“There are very few data companies out there. Most companies that are quote-unquote data companies are actually application companies.”
Auren Hoffman Nov 20, 2017 ▶ 13:36 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Insight
Hoffman: Future technological innovation will occur where data exists today
“If you really wanna know, like, where is innovation going to happen in the future, I think you can really look at innovation as to where we have data today.”
Auren Hoffman Nov 20, 2017 ▶ 15:18 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Insight
Hoffman: Data overhead is the core struggle for non-big-tech AI companies
“So this is the course, the core struggle for almost every single company, except for maybe Google, Facebook, Amazon, Tencent, that has to deal with all these types of issues.”
Auren Hoffman Nov 20, 2017 ▶ 5:32 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Insight
Hoffman: Datasets are significantly more valuable when they are temporal
“The other thing about data is that it's more valuable if it's temporal.”
Auren Hoffman Nov 20, 2017 ▶ 14:35 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
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