Wikipedia

9 statements across 4 episodes · 1 bullish · 2 bearish · 3 people on the record · first statement Mar 20, 2014 by Sean Gourley · said 70 times in 27 episodes since 2013 · across every show →

Mentions by year

brought up most by Sean Gourley (13), FJ Yang (9), Antoine Bordes (9), Chris Dixon (7), Hilary Mason (6), John Rauser (3), Zach Nussbaum (2), Mitch Trojanowski (2)

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03520132014201520162017201820192020202120222023202420252026episodes it came up in
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2026 6 mentions in 5 episodes 1 per episode
2025 3 mentions in 2 episodes 2 per episode
2024 2 mentions in 1 episode
2023 3 mentions in 3 episodes 1 per episode
2019 21 mentions in 2 episodes 11 per episode
2018 8 mentions in 2 episodes 4 per episode
2017 2 mentions in 2 episodes 1 per episode
2016 17 mentions in 4 episodes 4 per episode
2015 1 mention in 1 episode
2014 5 mentions in 3 episodes 2 per episode
2013 2 mentions in 2 episodes 1 per episode

every mention, scene by scene, with the transcript →

Everything said about Wikipedia, oldest first

Mar 20, 2014 neutral
Assertion Partly supported
Gourley: Google includes Wikipedia on page one for 85% of common searches
“Google actually returns Wikipedia 85% of the time with the most common searches on the first page.”
Sean Gourley Mar 20, 2014 ▶ 11:49 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Nov 9, 2016 negative
Assertion Not checkable as stated
Bordes: Direct machine reading on Wikipedia currently lags IBM Watson
“So of course, in the end, right now, a system just based on Wikipedia is much worse than what can be done by Watson, using all the databases.”
Antoine Bordes Nov 9, 2016 ▶ 19:53 Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
Nov 9, 2016
Disclosure
FAIR shifted from children's book benchmarks to Wikipedia question answering
“And at the end of last year, we also released something that is the same kind of ideas using, like, ah, some short stories, but, ah, that we use from, like, children books, real children books, and now we are moved to a train to answer question, ah, directly f…”
Antoine Bordes Nov 9, 2016 ▶ 13:38 Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
Nov 9, 2016 bullish
Prediction Not checkable as stated
Bordes: FAIR expects single reasoning method to solve all QA cases
“We expect basically the same method to be able to solve all the cases, because we are looking for method that can do reasoning, whether it's a very simple situation on Wikipedia.”
Antoine Bordes Nov 9, 2016 ▶ 14:03 Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
Nov 9, 2016 neutral
Assertion Supported
AI cannot yet perform database-style reading and QA on unstructured Wikipedia text
“Nobody can answer on Wikipedia the way that you would answer with a database or anything like this, doing reading.”
Antoine Bordes Nov 9, 2016 ▶ 15:54 Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
Dec 8, 2016
Assertion Not checkable as stated
Mason: Wikipedia data secretly underpins almost every open machine learning API
“If you go back far enough in pretty much any sort of open API in machine learning, you can find Wikipedia in there somewhere.”
Hilary Mason Dec 8, 2016 ▶ 10:54 A Process for Discovery // Hilary Mason, Fast Forward Labs [FirstMark's Data Driven]
Mar 19, 2019 negative
Assertion Not checkable as stated
Sean Gourley: Wikipedia has a massive recall problem despite high precision
“And this is actually not just endemic to Andre, there's nothing particularly about him, but it's actually, Wikipedia has a massive recall problem. We think a lot about its precision, and we measure its precision, but its recall is actually pretty bad when it l…”
Sean Gourley Mar 19, 2019 ▶ 9:00 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Mar 19, 2019
Assertion Not checkable as stated
Primer generated 40,000 new scientist profiles using RNNs and scientific papers
“So we took 30,000 scientists on Wikipedia and took their profiles as of January 18. And then input into this, we put 650,000 scientific papers and around 1.2 million news articles that talked about the scientists. And then we used an RNN-based generative model…”
Sean Gourley Mar 19, 2019 ▶ 7:56 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Mar 19, 2019 neutral
Assertion Supported
Gourley: Wikipedia had no page for Andrej Karpathy when Primer built his bio
“Well, we could actually compare that to what was on Wikipedia at the time when it was generated, and the answer was nothing. Right? Now, if you go there now, he's taking care of this. We brought it up with Tesla, and their PR department got onto this, but ther…”
Sean Gourley Mar 19, 2019 ▶ 8:46 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
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