Chris Pedregal
speaker
154 appearances
1 recordings
1 series
first heard Feb 2025
last heard Feb 2025
Chris Pedregal’s voice in public audio — every appearance, attributed to the second.
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Appearances
And if you're not careful about what you outsource, I think there's real danger there. So the tool that I would want would be one that Right now, we have so many silos of information and so many silos of where knowledge or inspiration or information comes from. And oftentimes, I'm only really looking at data or information from one of those silos when I'm thinking about a topic.
And what I want is a tool that will pull out the most relevant and best stuff from my personal life and my context, but also out there that humans have figured out and present that to me dynamically on the fly in a way that I can interpret and make use in real time. What that looks like, I don't think anyone knows. I saw this amazing demo a friend of mine made.
There's this microphone hooked up to something like mid-journey, but it was running at something like, I think, five or eight frames a second. And what it was doing is like real time you were talking about, like for this conversation, it would be projecting on the wall imagery that was related to what we were talking about, but slightly divergent.
He was using this from like a Burning Man creative experience. But you could imagine something like that in a work context where it's like, it's, helping you think out loud, but it's also extending and bringing in ideas or useful information that you wouldn't have had otherwise. I think doing that in a way that's helpful and not distracting is actually really, really hard.
And there are a lot of these ideas in sci-fi that sound fantastic and then in practice don't work for really silly tactical reasons, like the notes being written for you in real time being distracting. I think there's like a lot about the human experience that defines what works and what doesn't. I can talk about this for hours. I gush on it.
I just think it's such an incredible moment to be alive and to be building things.
I think it's good to separate the reality today from what's a reality that will persist? What's the limitation that will persist in the future? It is surprising to me how unpersonalized any of these models feel today. If you ask it a question, because I ask it a question, the answers are going to be identical or almost identical given we're X number of years into this cycle.
I think that's really surprising. This is a small thing we do at Granola that people like, but if you were using Granola in, let's say, a meeting and I'm using Granola in that meeting, your notes and my notes would look completely different. And that's just because we built it that way.
We're like, okay, the things that matter to Patrick in this meeting we think are this, the things that are going to matter to Grace are this. But the low level of personalization is surprising to me.
I'm not an investor, so it's hard for me to give advice to investors. I can tell what speaks to me. So the same way I talked about when you're building a feature, you need to know, is this exploit mode or an explore mode? I think AI as a whole is an explore mode problem. No one knows what the right thing is. I think maybe foundation models are like now more in an exploit mode.
But everything else, especially at the app layer, total explore. When you're in explorer mode, you need to have a certain sensibility there, which is, in my opinion, very product-centric and a certain exploration and depth of thought around what's actually going to be a good product or good for people. And not many investors talk about that or think in a deep way.
The stuff that stands out from the noise for me, there've been some really good ones, but if I get a cold email and they write a very like specific insight about their usage or like product behavior in the space that they've thought about, maybe Granola gets right or we get wrong. That really makes me pay attention because if something's hot, you just get inundated with messages.
My inbox is hard to manage right now. And that's just because AI is exciting right now. It may not be exciting tomorrow. And what at least I want when I partner with an investor is I want a partner I'm going to work with for a very long time. And I want us to agree on an outlook on the world and how we think about a problem.
All the specific executions, all of that's going to change to an adapting world. But do you have a similar worldview on how you should go out and solve problems? I know that's a very generic answer, but I have that with my investors. I think they're great product thinkers, and I think they can engage at a bunch of different levels, which is a huge unlock.
Before I started Granola, I was thinking about what I should start. My previous startup was an education, AI education app called Socratic. And everyone was like, oh, why don't you go into education? And I was like, oh, I think there are a whole bunch of reasons why I don't want to start another education company or an education AI company. But I've been playing with GPT-4 voice mode.
You know, the one where you can, the Scarlett Johansson voice thing? Yeah. With my kids, you can actually turn the camera on there. And they were playing hide and seek with chat GPT, which is kind of nuts. My kids are five and seven. They were like, hiding behind the table and then peeking out. And she would be like, oh, I can see tutoring is one thing or what's going to help you get good grades.
But that interaction was something that caught me off guard. I just haven't seen an interaction like that between a kid and technology. I don't know what the product would be, but there's definitely a there there. And I think the way you design that really matters.
The holy grail in ed tech is basically building one-to-one tutoring. There are all these studies that show if you have a one-to-one tutor, the median student actually performs the top five or 10 percentile student. And that's kind of been true in history. A lot of the great people we read about in history books have like Was it like Peter the Great had Aristotle as a tutor?
I mean, of course you're going to do well. That's an unfair advantage. So I think that's like the holy grail. Everyone wants to have a one-on-one tutor. It should be free. It should just be an open source model. It should be free. Everyone should build on top of it. It's just better for everybody. I don't want to build a business there.
The incentives around making money in that space versus I think what we kind of want for society aren't super aligned. And I think you're also going to get competition from the generic assistants. As you were asking before, like what kind of use cases are going to get eaten up by the chat GPTs of the world? And I think most of education will fall under that category.
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