Luis von Ahn

6 statements across 1 episodes · 1 bullish · 1 bearish · 2 people on the record · first statement Jan 2, 2019 by Luis von Ahn · across every show →

On the record as a speaker too: Luis von Ahn's record, appearances and statements → this page counts the times other people say the name.

Everything said about Luis von Ahn, oldest first

Jan 2, 2019 negative
Insight
Luis von Ahn: Paying crowdsourced workers is ineffective due to spam
“I have found that paying people is not so good. Then you really have to spend a lot of effort trying to stop people who are just there to, you know, get your money.”
Luis von Ahn Jan 2, 2019 ▶ 17:42 a16z Podcast | The Taxonomy of Collective Knowledge
Jan 2, 2019 positive
Assertion Not checkable as stated
Komarneni: Duolingo inspired HumanDX's gamified clinical case interface
“Louise had actually his work on Duolingo and really kind of this idea of creating these micro interactions that almost have this gamified structure was really a major inspiration also for the way that we built HumanDX to be these brief interactions where you c…”
Jay Komarneni Jan 2, 2019 ▶ 20:05 a16z Podcast | The Taxonomy of Collective Knowledge
Jan 2, 2019
Assertion Partly supported
von Ahn: In 2017, humans still beat AI at basic image recognition
“Computers are better at playing Go than humans are, but humans are still better at recognizing whether a picture has a cat or not.”
Luis von Ahn Jan 2, 2019 ▶ 22:27 a16z Podcast | The Taxonomy of Collective Knowledge
Jan 2, 2019
Assertion Supported
von Ahn: reCAPTCHA digitized 2 to 3 million books annually
“There are a hundred million books that needed to be digitized. That was the total number of books that has ever been written, you know, before the digital era was one hundred million. At the pace that we were going, we were able to digitize about two to three …”
Luis von Ahn Jan 2, 2019 ▶ 15:45 a16z Podcast | The Taxonomy of Collective Knowledge
Jan 2, 2019
Insight
von Ahn: Profiling crowdsourced contributor accuracy enables precision with only 3-4 human checks
“When you're doing things that are very large scale and you don't have very many humans, you may have a thousand humans or 10,000 humans. And if you need to label millions of things. You can't afford to start giving, you know, the same thing to all 10,000 human…”
Luis von Ahn Jan 2, 2019 ▶ 15:08 a16z Podcast | The Taxonomy of Collective Knowledge
Jan 2, 2019
Disclosure
reCAPTCHA required 10 matching user responses to establish ground truth text
“And the way we got the ground truth here is, is simply by having, you know, 10 different people agree with each other. So if you gave the same word to 10 different people and they all agreed that we consider that ground truth that to a very large extent that w…”
Luis von Ahn Jan 2, 2019 ▶ 6:48 a16z Podcast | The Taxonomy of Collective Knowledge
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