Luis von Ahn spoke in the early 2010s—probably around 2014—at The LAB in Wynwood, Miami. He recounted how his fascination with crowd-sourcing led first to reCAPTCHA and then to his latest venture, Duolingo. He made it clear that his real passion wasn’t language per se, but building a crowd-sourced human translation service as a business model. At that point, Duolingo had roughly 24 employees—and, much to his surprise, only two were focused on the crowd-sourcing engine. He explained how they’d enlisted some of the world’s leading language-education researchers as consultants. Their very first question: “Which part of speech should learners tackle first?” The experts confessed they didn’t know, so the team gathered the data and used A/B testing coupled with statistical analysis to pinpoint the answer.
Today, it’s not only easier than ever to launch a platform to challenge Duolingo, but its core product—its crowd-sourced human translation service—has been distrupted.
This morning, I found myself thinking about how all those decade-old learning platforms—like Coursera, as reflected in its ever-falling stock price—are being distrupted.
Your product looks awesome and I hope you distrupt all the language learning platforms. Thank you for sharing.
(I had ChatGPT fix my grammatical errors and now this comment doesn't sound like me, sorry.)
I started using o3 yesterday. Turns out it has sycophancy behavior. That is good to know. Regardless, I'm beginning to enjoy my errors because it reminds me of my humanity.
Today, it’s not only easier than ever to launch a platform to challenge Duolingo, but its core product—its crowd-sourced human translation service—has been distrupted.
This morning, I found myself thinking about how all those decade-old learning platforms—like Coursera, as reflected in its ever-falling stock price—are being distrupted.
Your product looks awesome and I hope you distrupt all the language learning platforms. Thank you for sharing.
(I had ChatGPT fix my grammatical errors and now this comment doesn't sound like me, sorry.)