Short answer: Sam Nadler says NotebookLM turns plain onboarding Google Docs into infographics and audio overviews, and he heard students turn weekly notes into podcasts to listen to while working out.
Watch this answer from Episode 26 (starts at 14:13) · Episode 26 notes and transcript
From Episode 26: We Built an AI Trading Bot for Prediction Markets — Here’s What Actually Happened, starting at 14:13.
Sam Nadler [14:12]: So love what you did here. Just to transition, we're gonna transition into our AI tool of the week, which is a tool you actually showed me, and it's called NotebookLM. It's a tool from Google. And what I've really liked about NotebookLM and I you've used it for a few different things than I've used it, but it's almost for me, it's been able to generate really nice education materials. And I think the educational use case of NotebookLM is pretty incredible. So I personally have used it. Historically, when we've onboarded new employees over time, we've gotten you know, in some ways, they've been organized. In other ways, they haven't been organized. But a lot of the shared learning has been just Google Docs of, hey. This is what happens when we do this. This is what you should know about this scenario, etcetera. And, there's there's a lot of great things about reading Google Docs as you join a new team, but, there are certain things that can be conveyed better in either an infographic. I love the audio use case. I've heard from you know, I was talking to one of my daughter's teachers about how students are using LLMs, and this wasn't really specific to her age group, but a lot of them are taking their notes, putting it into NotebookLM, and generating an audio overview.
Sam Nadler [15:41]: So they're basically taking their notes from the week, putting it in a podcast, going to workout, and listening to their podcast or a walk or whatever. And I just thought that's such a cool way to learn. I did take one of our, standard onboarding Google Docs and create an infographic if you want me to share, but it looks like you're building as we speak using LLM. I didn't see the prompt, but is there a way to win consistently on Kalshi with a trading bot? So you can take what it gives you. You can chat with it, and then I guess you could build a playbook or flashcards or a slide deck based on the output. So we'll see what it says. But yeah. Yeah.
Jordan Metzner [16:19]: So, we can yeah. We can definitely add in and post. Hopefully, we can show up on the screen what you built with NotebookLM, your onboarding document, because I think that's pretty cool. But, yeah, I just asked it to teach me about Kalshi Trading Bots, basically. And so, what it did is it went on the Internet, it looked for some trading bot documentation. It found a YouTube video about Kalshi trading bots. It found the documentation from Kalshi's website about how their APIs work. And it even found a paper that says Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets. And so it's actually finding white papers and it's bringing it into the mix. And with all of that, it's kind of preparing this, nine page slide deck for me.
