AI tutors personalized through real-time curriculum adaptation are approaching the effectiveness of the best human tutors, driven by data showing dramatic variation in learning time across individuals and significantly higher question-asking behavior compared to human classroom settings.

(01:23:07) human teachers or eventually than all human teachers. We're still early in this phase. I haven't I I I've seen claims. I I actually haven't seen anything really compelling that proves it. Uh kind of black and white, but but I we're going to see that in the next one to two years is is is my my feeling. Um, and just having spent a lot of time reviewing kind of how the tutor

(01:23:33) interacts with learners and kind of how it approaches certain scenarios, I'm a believer that we're we're not too far away from, uh, from seeing that like hard evidence. Um uh one interesting thing to share because we we now have 300,000 people who've kind of been learning with a tutor uh is you see the discrepancy between humans kind of increase as well. Um so the way we've rolled this out is you have still

(01:24:02) learning objectives, you still have kind of a suggested dedactical flow. Um, but every individual is going to have their unique version, their unique experience with the tutor to get to those learning objectives. Um, and we have our intro to AI for workhorse, for example, like the basics kind of for for everyone to to learn uh AI. Um, some people complete that course in under an hour, some

(01:24:29) people take seven hours. And and and so that's an initial indicator to me that, hey, this is working. Um because at the end of the day if you read those transcripts like people exit the the kind of experience with the same understanding but some people can get there in 30 minutes and some people actually do need six seven hours. Um another really fascinating thing is humans are feel judged when they they interact