Lenny Rachitsky: observation

Transcript context

…I think the very first launch when we felt... When click from use, again, was 100K context launch is when the models could input the entire book and give you a summary of the book or something. Or the financial... or catalog multi files financial reports and then give you an answer to the question, to very specific questions. I think there was something in there that was kind like, "Oh my god, this is a really cool new capability." Not model capability, but more like the capabilities that came from the product form factor itself rather than the model capability as much. I think other prototypes that we were thinking about... There's one part having a Claude workspaces and it's kind of the same idea of Claude and I would have this shared workspace and that share workspace is like a document and we can iterate on the document. And I feel like sometimes the ideas, [inaudible 01:01:55] and they're locked for two years, just like in this case. It's interesting, there's these milestones that kind of open up our view of what is happening and where things are going. ChatGPT think was the first of just like, "Wow, this is much better than I would've thought." You talked about 100K context windows where you could upload a book and ask it questions and have it summarize. I actually use that all the time. When I have interview guests and they wrote a book, I sometimes don't have time to read the whole book. So I use it to help me understand what the most interesting parts are. And then I actually dive into the book, just to be clear. And then, I don't know, maybe voice was another one where you could talk to say ChatGPT. Is there any other moments there that you're like, "Wow, this is much better than I thought it was going to be?" Yeah, I think the computer use agents, like the model operating the desktop. And you can essentially think of new kind of experience where the model can learn the way you browse. And from that preference it can just browse as just like you. It's kind of simulated persona. And it's actually very similar to the idea of like, "Okay, maybe Sam Altman doesn't have a lot of time. Maybe I want to talk to his simulation and ask..." Or, for example, I really appreciate some of the technical mentorship. Yeah, cool. But he doesn't have a lot of time so it's like I really want to ask him this questions. How do you respond with simulated environments like this would be really cool.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.