Opening
Lenny Rachitsky (00:00:00): There's a lot of talk about productivity gains through AI. There's this camp of people that are so overhyped, nothing's working, nobody's actually adopting this at scale. Dhanji R. Prasanna (00:00:07): We see a significant amount of games. We find engineering teams that are very, very AI forward are reporting about eight to 10 hours save per week. Whenever I hear a stat like this, I think an important element is this is the worst it will ever be. This is now the baseline....
The segment is an original transcript moment first. The interpretation should stay attached to what the language actually does.
Low-ego framing
Prasanna (00:00:07): We see a significant amount of games. We find engineering teams that are very, very AI forward are reporting about eight...
Uses we/us, uncertainty, or learner framing instead of performing authority.
Accept praise cleanly
Prasanna (00:05:34): Thank you Lenny. It's a great pleasure to be here. Lenny Rachitsky (00:05:37): I want to start with a letter that I hear...
Accepts praise without shrinking from it or turning it into a performance.
Return warmth
Lenny Rachitsky (01:26:14): I appreciate you. Dhanji R. Prasanna (01:26:15): Cheers. Lenny Rachitsky (01:26:15): Bye everyone. Thank you so much for...
Matches the guest's warmth and keeps the social temperature generous.
Low-ego framing
architected because the flip side of that Google video, which is product that I don't know if people remember, it existed before YouTube. It supported more formats, it supported higher resolution. Dhanji R.
Uses we/us, uncertainty, or learner framing instead of performing authority.
Accept praise cleanly
Lenny Rachitsky (01:26:07): A really beautiful way to end it. Dhanji, thank you so much for being here. Dhanji R. Prasanna (01:26:11): Thank you, Lenny. I really appreciated it. Thank you....
Accepts praise without shrinking from it or turning it into a performance.