Lenny Rachitsky: belief

Transcript context

…model is trained. It's trained on examples with super high fidelity. This will happen with text models. You can imagine a world where you go into ChatGPT and you say, "Write me a blog post about AI." It automatically will go and be like, "Let me generate a much higher fidelity description of what this person really wants, which is generate me a blog post about AI that talks about the trade-offs between these different techniques and some example use cases and references some of the latest papers," and it does all that for you, and then you at the user will hopefully be able to be like, "Yep, this is kind of what I wanted. Let me edit this. Let me edit this here." And again, the inherent problem is we're lazy as humans. We don't want to type all... We don't really want to type what we mean, and I think AI systems are actually going to help solve some of that problem. So until that day, what can people do better when they're prompting, say ChatGPT? And I'll give you an example. Tim Ferris suggested this really good idea that I've been stealing, which is when you're preparing for an interview, you go to chat GPT. And so I did this for you. I was like, "Hey, I'm interviewing Logan Kilpatrick, he is head of developer relations at OpenAI, on my podcast. Give me 10 questions to ask him in the style of Tyler Cowen," who I think is the best interviewer. He is so good at just very pointed original questions. So what advice would you have for me to improve on that prompt to have better results? The questions were fine. They're great. They're interesting enough, but they weren't like, "Holy, these are incredible." So I guess what advice would you give me in that example? Yeah, that's a great example where thinking in context of who it is that you're asking questions about. I'm probably not somebody who has enough information about me on the internet where the model actually has been trained and knows the nuances of my background. I think there's probably much more famous guests where it might be that there's enough context on the internet to answer the questions. You actually have to do some of that work. You need to, say if you're using browse with Bing, for example, you could say, "Here's a link to Logan's blog and some of the things that he's talked about. Here's a link to his Twitter. Go through some of his tweets, go through some of his blogs and see what his interesting perspectives are that we might want to surface on the blog," or something like that. It's, again, giving the model enough context to answer the question. I think, again, that prompt actually might work really well for somebody who has it, if you were interviewing Tom Cruise or something like that, somebody who has a lot of information about them on the internet. It probably works a little bit better.…

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