The Moments That Matter from Cerebral Valley London

18 Jul 2025 · 50 min

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The Newcomer Podcast: Episode Summary

Episode Title

The Moments That Matter from Cerebral Valley London

Podcast Hosts

  • Eric Newcomer
  • James Wilsterman
  • Max Child

Episode Description

In this episode, Eric re-engages with co-hosts James and Max after attending the Cerebral Valley AI Summit in London. They discuss the highlights of the summit, including key debates and insights from prominent figures in the AI industry.

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Key Themes and Discussions

  1. AI Landscape in London
  2. Evolving Scene: The hosts noted a vibrant AI scene in Europe, particularly at the Cerebral Valley AI Summit.
  3. Startup Culture: They highlighted several startups, such as Granola and Synthesia, which are gaining momentum and attention.
  1. Key Questions Driving the Industry
  2. Models vs. Applications: Is the tech world experiencing a “models win” moment again?
  3. The Uber Dilemma: Discussion on why Uber spun off its self-driving technology and the implications of that decision.
  4. Figma’s IPO: Dylan Field's take on Figma's AI strategy amidst its impending IPO.
  5. Scientific Discoveries: Can AI lead to Nobel Prize-worthy breakthroughs, or are current models limited?
  6. Impact on Reading: A bold statement from Synthesia's CEO suggesting that future generations may not read or write as extensively, favoring video consumption instead.

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Notable Highlights

Uber's Strategy (Timestamp

08:21)

  • Discussion around Uber’s decision to merge its self-driving tech with Aurora, prompted by past accidents and a desire to partner with other players in the autonomous vehicle market.
  • Debate on whether Uber's choice was strategically sound or a missed opportunity.

Figma's IPO (Timestamp

16:56)

  • Dylan Field's engagement with the audience just before Figma’s S-1 filing, emphasizing product development over IPO distractions.
  • The hosts reflected on the implications of Figma's trajectory in a rapidly changing tech landscape.

AI in Scientific Discovery (Timestamp

26:17)

  • Conversations around whether AI can generate groundbreaking scientific research; the consensus is that while AI can assist greatly, true innovations often require human creativity and insight.

The Future of Reading (Timestamp

38:26)

  • A provocative prediction from Synthesia's CEO that future generations may abandon reading in favor of video content.
  • The hosts debated the implications for human intelligence and the essence of thought.

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Key Takeaways

  • Global AI Engagement: The event underscored the growing global nature of the AI industry, with significant international participation.
  • Momentum for Models: A feeling among hosts that foundational models are regaining favor, as startups navigate the shifting landscape.
  • Critical Reflections on Innovation: A need for clarity in discussions about innovation vs. incumbency, especially in the context of major companies like Uber and Figma.
  • Cultural Shifts in Learning: The potential decline of traditional reading and writing as AI tools become more pervasive and integrated into daily life.

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Future Events

  • The next Cerebral Valley AI Summit is scheduled for November 12th in San Francisco.

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This episode provides valuable insights into the fast-evolving AI landscape, highlighting both innovative startups and critical industry discussions. The hosts' reflections offer a nuanced perspective on the challenges and opportunities that lie ahead in technology and venture capital.

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Transcript

Automatic transcript. May contain errors.

0:00This episode is brought to you by Forethought. Most companies build their customer experience in pieces. Sales in one system, support in another, and onboarding somewhere else. Forethought brings it all together. Forethought is an AI system made up of advanced agents that handle sales, onboarding, support, and retention. Each team manages its own agents. The customer sees one unified experience. Forethought powers over a billion interactions every month for brands like Scale AI, Cohere, Airtable, and Upwork. Learn more at forethought.ai.

0:39Welcome back to America. I'm here with Max Child and James Wilsterman. Hey, guys. Hello, Eric. Hey, Eric. We had a fun European adventure, what, a couple weeks ago with the Cerebral Valley AI Summit in London. Yeah, we had a blast. I don't know. What did you guys think about it? I thought it was a tremendous experience. I mean, it really drove home how exciting the AI scene is in Europe, which I think, you know, in the sort of mobile and web eras, maybe a scene a little bit beleaguered compared to America. But I felt like AI startups and big companies are totally popping off there. I mean, we had Granola, we had Lovable, we had Synthesia, PhotoRoom.

1:21And then, you know, on the big company side, obviously, we had Wave and Uber, which was super exciting. And so, well, in classic Cerebral Valley, I feel like the buzzy startup founders are the real celebrities. You know, it's like, I mean, people are excited about Dara and we had Dylan Field at Figma, which, you know, what was like a week away from filing its S1. But yeah, I feel like the lovable guy and the granola guy, you know, were definitely sort of people of interest at the event. My spidey sense for startup heat was very tingly around the lovable guy. He was Anton. I interviewed him. But even just walking in, he was being surrounded by investors and partners and other startups.

2:02And you could just get the vibe. He's a little mini celebrity in the AI scene. He's a unicorn now. He's a unicorn now as of today or yesterday. How many coding AI-adjacent companies are unicorns now? We've got Lovable, Replit, Cursor, Windsurf. It just goes on and on. And the narrative moved so fast. Is it good to be a coding startup now? Or are we already like, oh, man, cost of goods sold and everything are out of control? When Windsurf was falling apart and luckily they were able to save it. I don't know. Since Cerebral Valley, though, we've had people like bouncing between Anthropic and back and to Cursor and back.

2:45And we've had this whole saga of Windsurf getting chopped up. I don't know if I had to stick my finger in the air right now. I feel like the mood is it's good to be a model again. I mean, you've got a big sentiment that Anthropic and Claude are key to coding and you sort of rather be Anthropic than Cursor. And obviously, we're recording this on Thursday. It's coming out on Friday. I mean, OpenAI just did a live stream about agents and seems like, oh, we're figuring out this agent thing. I don't know. You know, they're once I think they're trying to be supportive of MCP, you know, the sort of generic open source interface across agents.

3:25But then they're making the announcement that like, oh, that thing you were trying to build a company around. Yeah, we do. We do that, too. So I guess my take at the moment is models back in ascendancy, which you'd hope so, given their valuations. yeah i mean i think obviously we've had this debate a million times but i think ultimately it is good to be the company that has put you know five to ten billions of dollars to work on something rather than the company so yeah yeah yeah then the company that is slightly repackaging the thing the other guy did for five to ten billion dollars like i mean there are obviously i think application use cases here but you know we've been bullish on applications yeah oh no i I am bullish on applications, but I do think, you know, anything that's sort of close proximity to the model itself, which I think a lot of these coding startups are very close proximity to the model itself in many ways, is a dangerous place to be because, you know, Dario and Sam have got their eyes on that space.

4:23It's like you don't want to be the most popular application that makes the most money because then you're squaring the targets of the foundation model labs. it's like you kind of want to be like making good money but not like the number one use case of LLMs we're going to get into clips so this episode is really we're going to engage with the key moments at the cerebral valley AI summit which I think will be fun well you can go watch them all on YouTube and I think they're all still pretty current even though AI moves fast but we're bringing you our favorite clips so that if you don't have the time you can get the best of what happened there i wanted to say two different things one on london i think one thing i really liked about the event is that we took a sort of like ai is global we're not getting dragged into like which city is the best i mean obviously london has deep mind and there are like good companies in europe but it's like yeah it's a global world all connected on the internet there are great people everywhere like i think like half the audience was london and half came from elsewhere probably like i don't know a quarter u.s and a quarter rest of europe i don't know Yeah, a decent amount of like France and Sweden and things like that, for sure.

5:29We had a train. Yeah. Public transportation infrastructure, despite being like much better on its surface, consistently we had transportation problems across Europe. Eurostar was in trouble from France. And then I had my flight deflated out of France from an air traffic controller strike. So I don't know. They brag about public transit. There are transit and they can't keep it working. It's like like their health care system or something. It works works great for most people most of the time and then falls apart at the at the limits. The other thing is we have not officially committed to going back to London.

6:10This is it's like we need we need to sponsor bidding war between New York and London between which one we head for first. So if you have a strong horse in the New York versus London race, reach out about sponsoring. I would just say in terms of vibes at the event, the London audience was dramatically more engaged than the New York audience. I would say they were excited to be there. They stayed for the whole event. They engaged with the speakers. They wanted to chat and meet people afterwards. Well, those New Yorkers, they're grinding. They're like, I have a fucking job. like new yorkers are like i've got a happy hour at 3 45 that i've got to be at uh so the 4 30 speakers will not be fully attended before i go back to work until yeah you live in new york you're a bit of a booster it did have a little bit of like you know we had goldman we had snowflake it had a little bit of like big company tries to like embrace ai whereas i do think it turned out that Europe had some of the cooler up and coming startups.

7:12I mean, I think Rogo, you know, which we had at the FinTech event is Buzzy New York application company. I mean, there's certainly, I'm sure if we dug into like finance AI startups, we'd get more of the like application excitement in New York. I flew back from San Francisco a couple of weeks ago to be on a New York Tech week panel. And of course we, you know, from one of the New York boosters, Julie Samuels, I don't know who it is. I forget what her group is these days, but you know, it is advocacy for New York's tech scene. It was like, oh, what do you think about the New York's tech scene? And I gave the most like, oh, pro San Francisco, just like, you know, the beauty of New York to me is that people come through.

7:54It's everybody's like second favorite city, no matter where you are. But I'm not sitting here claiming that New York is the center of the tech universe. And they're like, you are not invited to next year's event. I know. I just believe I've said this a million times, but I agree with Ryan Hoover, the product hunt guy who said to me during the pandemic, Silicon Valley is online. Come on. It's on the internet. Who cares where people are? All right. Back to the present moment. A lot's happened. We're in now this AI spending war for employees, obviously with Meta, which is, I think, the most present happening.

8:32Obviously, scale deal just happened when we started the London event. Yeah, let's get into clips and let's react to some specific lines from the most recent Cerebral Valley AI Summit. In the Uber case, I mean, you came in, you did spin out Aurora. How did you... We merged ATG into Aurora. Yeah, and then became its own company. How did you decide, I guess, that self-driving wasn't there in 2017 or they this shouldn't be something to invest in or how did you go into sort of all your technologists saying oh we're just tomorrow just tomorrow and say uh i'm not convinced listen i i think um eric was a really tough decision at the time and one is we were deeply marked by the fact that we had an accident uh lost life there uh and so the responsibility that you hold in your hands when you're operating in the real world hit us deeply.

9:27I think the other circumstance that affected the ultimate judgment was that we ran ATG very separately from mainline Uber because we wanted the opportunity to partner with the rest of the ecosystem again. We don't just have Priuses on our platform. We got Ford. We want to work with the entire ecosystem. And when I went and talked with some of the other AV developers, I'd say, you know, ATG, it's in the family, but it's separate. We're going to treat you fairly. We're not going to share data, et cetera. You know, when you're having a conversation, actually, like I usually do with you and I'm saying stuff and you don't believe a fucking thing I say, pardon me.

10:09That was the response. Like, we were having conversations, but I think people didn't trust us because they also viewed us rightly so as a competitor. Right. So we had a decision to make. do we go with a proprietary kind of vertical strategy or do we truly partner with the industry we couldn't have the best of both worlds and ultimately we decided that a partnership model was the right model going forward and based on you know basically all of the leading players sans tesla but everyone else is open working with us etc i think it was the right decision to make I guess I don't really buy this explanation, honestly, because like I if you think of like Amazon today, right, they sell a lot of their own, you know, Amazon branded products on their marketplace.

11:00It pisses off their suppliers and they do it anyway because it's a good business idea. Like, I just don't really buy that this is a good enough reason not to invest in your own self-driving technology just because other providers on the marketplace won't be happy about it. Right. I mean, the premise of my question was that I thought it was skepticism on the imminence of the technology working and Uber's team particularly working and Aurora, which is what they spun off. has not really delivered on a major successful. That might be the real answer. So to me, I did think like a call on the quality of the technology was the reason.

11:41But I mean, I don't know. I take him at his face. I mean, it's interesting that his actual first answer was that they had such a negative PR situation that could they really do it? And I think it's easy to forget how much Dara was brought in to like clean up the PR situation. It's like we had the hack. And they had literally launched self-driving cars in the firestorm of their PR nightmare without the approval of like San Francisco. It was like just brazen. I mean, I do ultimately think that if Uber can sort of maintain its marketplace middleman position between riders and drivers, even if there are no drivers and it's just Waymos or in the case of Cerebral Valley London, it was Wave they were partnering with.

12:29And it's plausible that for, you know, 120 different countries around the world, there's going to be, you know, 60 different self-driving companies you need to ultimately partner with, you know, to serve self-driving cars to people in all these different locations that Uber may ultimately be the sort of aggregator of this need for a car, whether it has a person behind the wheel or not. And I think if that strategy works, I think they're in an awesome position because kind of being the middleman in this massive market of personal transportation is really great. I think what's the challenge is in San Francisco, there's this sort of Waymo brand loyalty building among the tech community.

13:08I think people like James are like, I basically only take Waymos even if they take longer and they're more expensive. And I use the Waymo app. Right. And so it's an interesting question, like for someone like James, I would pose like if Waymo's were in Uber in any city you wanted to visit and you could just instead of clicking Uber X, you click Waymo. Like, would you just go back to using the Uber app? Because like sometimes you want to use the Uber X because it comes faster and sometimes you want to use Waymo because you like it more. Or would you be like, no, I'm always using the Waymo app? I do think a lot of Uber success here depends on their ability to specifically convince Waymo that they should not deploy in every city and need to participate in the platform.

13:51I mean, you know, and they're running those experiments now. So it'll be interesting to see where Waymo thinks the power resides. Yeah, I think I would. To that point, if I know there's a Waymos in certain cities that I can only access through Uber, it'll probably switch the habit back to just using Uber everywhere, including in San Francisco, if I can access Waymos through the Uber app. All of this, though, is just, you know, pointing back to my original point, which I just think Uber would still be better off if they owned something approximating Waymo right now. Like, I just don't see a world where they are worse off.

14:33If it's Waymo quality. If it's Waymo quality. Yeah. Yeah. And who knows if they could have gotten there. Right. Amazon knows that they can deliver, you know, batteries just as well as Duracell or whatever. Yeah. And Costco and places, they pick lanes where they see where they can offer something. I'm not saying it was like a bad decision to spin this off originally. I just think disingenuous to say that he's only doing this for platform neutrality. Well, literally like a day or two after the event, there was reporting in the New York Times that Uber might be working with Travis Kalanick to like acquire a Chinese self-driving car startup.

15:10So it's very possible this is on Dara's mind that we there are all these Chinese startups that have actually caught up really well in self-driving. And we spun off the one that wasn't succeeding and cost us a ton of money. Now everybody's ripping each other off and they're all going to catch up to each other, just like the language models. And so then we have our white label version so nobody can push us around too much. Like, yeah, I think that's very plausible. and they skip a lot of the needless money losing that's hard to do on the public markets. It's like Google Pixel or something, right?

15:45Yeah. You want the flagship that just kind of shows how to do this. And you want to learn even if you're also distributing Android to other phone makers. I do think, yeah, to Eric's point, Waymo is so head and shoulders above the field right now that you would just be terrified that you're going to lose Waymo. And so you've got to balance these considerations of like uh is it gonna piss off waymo if we work with this chinese startup like what if waymo just walks away tomorrow like we better have a backup plan you know so it's it's a challenging place to be and i feel like the waymo brand is so good right now you got started in like jaguars you have none of the baggage of like bad uber rides it's just like it's such a good the mps on waymo has got to be like great relative for actual like riders yeah anyway it's I mean, it's like a quintessential technology debate question, which is just like, what are the platform dynamics?

16:38Who actually has leverage? And it'll be interesting to see it play out, but it sounds like we all agree that it would serve Uber to have some credible self-driving car technology of its own, at least to understand the fundamentals and have a little bit of a competitive edge against potentially bullying partners. All right. Well, we did Uber. Let's do the other big headliner from the event, Dylan Field, the CEO of Figma, who literally like, he seemed very busy when we saw him. And I can see why. I think they literally flipped their S1 filing the next week. So very appreciative that he made it to London at sort of the busiest possible moment for a pre-IPO company.

17:21I wanted to talk about sort of the company building piece of this for a second. I mean, you're clearly sort of moving towards going public. I'm curious, like, what your decision-making process has been. We're in this moment where Stripe, SpaceX, like, it feels like they can stay perpetually private. What's sort of the impetus to potentially move Figma towards the public markets? Yeah, I mean, I can't talk, like I told you about anything regarding that process. But I think that just the important thing that I've been making sure that I'm grounded every day, whatever happens with going public, not going public, is this is the moment to make sure that we are all in on product, whether that's me, our team.

18:13There is so much to build, so many workflows changing, so much happening. and we have such opportunity to help our customers. So that's what we're pushing for every day. It's funny to hear that played back. Like as an interviewer, him being like, I told you I couldn't talk about this, like seared in my mind in a way that watching it was like, okay, he said that and he moved on. I do think he could have been slightly less defensive. To me, it's always better just to be like, they ask questions they feel like they have to ask and I can say whatever the fuck I want. He could say something totally different.

18:46And he could have pretended like I didn't even ask the question, you know. Anyway, besides that little like bristle at my just doing my job and asking a question, it's clear that they they feel the need to have like a great sort of pipeline of products heading into an IPO. And they literally are presenting themselves as having launched what four fresh products after having four products just this year. My take is that he actually believes that they're in a disruptive moment, which we've talked about on the podcast before, where technology is changing and will affect them in many ways through AI.

19:24And then also, you know, it's a message to his team to say, like, you know, even though we are going public and this is an amazing milestone for the company, like, don't get distracted because we actually have to fight those battles and build product. yeah i think it's interesting given our experience with these um vibe coding tools over the last couple months james that like to me it increasingly seems like the bottleneck for vibe coding or ai assisted coding or whatever you want to call it is the quality of the design i would say that like the designs you get out of these tools whether it's like cursor or lovable or clawed code or whatever are just garbage like really bad and it's a sort of interesting question if like figma is extremely well positioned in that case because they have all the designers like all the good designers and you know in software essentially use figma and they can actually convert this sort of group of people who actually know how to make things that look and feel really great and polished into becoming creators and developers or if you go the other way which is say like oh no well Everyone else is going to like actually grab these designers and they're going to start understanding how to use cursor and cloud code.

20:40And then once cursor and cloud code level up on their quality of design by either training on new data or just something else, then all these designers are just going to be using cloud code or cursor, which is kind of what we experienced in the company in the last few weeks when we trained everyone on cloud code. It's like all of a sudden every, every person in the company, whether in design or product or data or marketing can, can now build apps. they all just look like garbage because the models aren't there yet. I think Figma is in a funny situation, launching Figma Make, which is their sort of lovable, you know, what have you.

21:13Vibe coding platform. Vibe coding platform is what we're calling the category. I mean, I don't know what they're calling it, but that's what I'm calling it. I mean, it puts them in a weird position where they have to sort of defend the category, which I think is still like messy and broken. I think they created like Figma. I mean, a lot of what Figma is doing is like sort of you're a marketer or you're a website builder. We're going to give you sort of a lightweight version of Figma. So it's easier for you to get in and do what you want. And so they created Figma sites for web creation. And that has like a Figma make integration.

21:48And in some ways, I think that makes more sense with Figma's like long term plan where it's like deeply integrated with their design elements. And Figma make feels a little bit like, all right, there's this sexy thing that everybody has. It's just sort of like a wrapper over models. If there's going to be so much zeitgeist around it, let's have it too. But I agree that the real opportunity for Figma is that like they have all your design assets. They have all your design assets. It's a moment when context is seen as like extremely important. And Figma has all your context on how you design things.

22:23And so clearly the more they can make this make thing much more like related to the actual design tools and assets that Figma has, it'll be much more valuable and then it'll be truly differentiated from lovable and everybody else. I mean, for the record, like, I don't know if they're going to do this, if they have the talent to do this, or if there's, it's a focus of theirs, but they have this tremendous opportunity to essentially like trained as a you know the first good model in terms of design um for you know for vibe coding or for creating software right i mean they have again basically every like good design of software you know is on figma for the last like i don't know if they can actually use that data to train but yeah i mean they should i don't know they should their lawyers should try to find some loopholes on this yeah i guess what would you be outputting you'd just be outputting the layers themselves, not the code you're saying?

23:18I don't know how it would work exactly. Maybe you create your own version of Cloud Code. Maybe you create your own version of, you know, a super enhanced version of Lovable that just makes really nice looking websites instead of pretty crappy looking websites. But I'm just saying, you know, to Eric's point about like context is king, you know, i.e. like the data on how people, you know, use these tools or create things with these tools like Figma has the greatest goldmine of design context like in the world. And I don't know how they capture that or if they're thinking about it. But to me, it feels like this this massive upside opportunity to be the the creation tool that actually makes things that look nice and work well.

23:53The other thing Dylan bristled at me about was that I said, you know, oh, when I use these like tools, I just like fucking copy and paste, you know, sub stack or whatever. And so like build me sub stack. And he's like, well, you're like, I don't know. It's sort of like you're lazy. Not everybody else does that. I don't know, but I do think like a lot of what works about these is you start with some visual design that you like and sort of replicate it. I don't know. No, I'm fully on your team here. I feel like most design is most design is is remixing, you know, to sort of the remixing is the kind of like generous version.

24:30And I think the ungenerous version would be a lot of design. I think Figma is a tool where you're trying to build it up on the pixel level. But a lot of these like text space almost it's either you're asking the thing to just arbitrarily come up with something you don't know how or you're sort of like copying and pasting, putting things in. I realize you can put in your own stuff, but I do think there's a lot of like copying that's going on. I think a lot of this is take right now is going to age like milk. And in a year, we're going to be looking back on this in a world where the foundation models have just chosen to train more on on good design.

25:07You know, it won't be like Eric having to copy paste pictures of Substack to like copy it. It'll just come out with better looking designs when you vibe code. And I think that that's the future. You can feel the AGI today, James. Yeah, yeah. I just I just think the models haven't like, you know, trained like the coding models haven't focused on this yet. And they will like it's just a matter of, you know, actually like a super short Figma case then. I mean, I'm just saying this is why I'm saying they should be in that race. Like I'm saying, like, they've got this gold mine. They've got to get in here with these other models.

25:43Like, you know, they could they could be the leader. I don't agree with the gold mine because they don't actually have the connectivity to the code. Like at some point, like the way that cloud code works is it like generates actual front end, you know, CSS. Yeah. So I just think, you know, they they have like a goldmine of great looking imagery. All right. Well, breaking news. James is short Figma. James James is shorting Figma. I predicted at the start of this episode that we would be high on models today. And that's bearing out. All right. Next up, we've got Harry Stebbings, the only VC we trusted to interview somebody.

26:25It helps that he has a podcast of his own, so he knows what he's doing. He interviewed the Granola CEO, Christopher Pedregal. Here's the clip. My favorite quote is like, will the incumbent gain innovation before the innovator or the startup gains distribution? How do you think about that today? if you think about kind of an open AI's ability to do what you do in some respects and have distribution versus your ability to move fast, be very nimble, innovate? Yeah, I think my view here is that we are in, you know, when the iPhone came out and you had like the beer drinking apps and the lighter apps, like I still think we're in that stage of AI, which might sound ridiculous because whatever, ChatGPT has 500 million users and is clearly useful, But I really think that is the case.

27:13I don't think AI is that useful. I think it's today. And I think it's mostly masquerading as useful, but you end up spending a lot of time rewriting or redoing it. Another way to put that is it's going to be so much more useful in one to two years. And I think we have yet to see truly AI-native interfaces and products come out. And I think that's the whole question. I think it's not about the products that exist today. It's still like, you know, it's like the caveman days now. It's like who can get to the truly AI native experiences and whoever builds those first and gets distribution on that.

27:55That's my view. And I think we're all, everybody in the industry is pre that right now. I basically agree with that, but I'm not sure that means like bet on granola. I don't know. It's like a little bit like I sort of philosophically agree with him that there's a lot, you know, of kind of latching AI onto existing products and workflows. And even Granola, arguably, you know, is essentially just latching voice AI onto a Zoom call, essentially. And the interface is, you know, not innovative. It's like a notes app, essentially, with some folders. It's a great product for the record. I freaking love Granola.

28:29But I don't know if the the idea that like, oh, we're in the beer drinking iPhone phase. So like, ergo, just wait one or two years and then we'll see where the chips fall necessarily makes me believe in someone other than OpenAI, I guess. I mean, it's a great fundraising posture because it's like, oh, you think we're cool now? Like, think about what we'll wait till next year. I mean, I feel like, yeah, the missing piece for me was the explanation of what the evolved version of his product looks like, which maybe he doesn't want to say would have made to me that argument a lot more. Right. Yeah.

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29:05I mean, it reminds me of like the early social media days where, you know, first you have all of these media companies just put their products on the Internet. And then it turns out that the form factor that succeeds dramatically is Facebook or Twitter or something. Right. That's just like a totally different product. but but but if we had interviewed the myspace ceo in 2003 and he had said you know we're not really at the final form of social media like you know it's coming and and then we're gonna really like unlock the value you get out of social media and you'd be like this dude's totally right but like does that mean myspace is gonna win i mean i don't know it just it's sort of and i feel like it was a little bit of that kind of comment where it was like uh so you're saying like nobody's figured it out so ergo like we're all just kind of killing time until the models get better for a year or two but wouldn't my wasn't myspace like we're hot shit like i don't know i'm i'm for the record i'm not saying the myspace ceo would have said that i'm just like right i'm just saying you'd prefer the ceo who at least is like a realist about where we are if he's correct i guess if if the myspace ceo did say that they would be directionally correct in that like you know most newspapers didn't win like incumbents right but i guess you can argue this is where it gets to be like a tricky argument like open ai are they really the incumbent or are they also just the you know another uh startup that is uh uh you know in the game as much as granola i just don't get the i want i mean i have i want transcripts and i know they give it to you but like i don't want to query it for general takeaways like i want it to give me specific lines out of the conversation.

30:43And so the whole thing sort of annoys me because it does the opposite of what I want, which is how you could give me a gloss. It shows you the whole transcript, but I want it to deliver like, here are the five best quotes or like, give me the specific verbatim thing that was said. And it's always trying to approximate sort of what was said. I think the way that Harry asked the question was like, how do you think of incumbents getting to you know the product versus the innovator but like in in this case we're not we're calling open ai an incumbent not an innovator i don't know that's right innovating that was funny i mean that's sort of the role figma played where it's like oh you're the yes exactly now like right and notion is a similar one there's this whole set of companies that like oh in any normal sense you'd be like this is my innovator moment to be on the public markets and now it's like no you're you're already the incumbent there's a new wave i think that was like a big meta theme of the event right and i'm just saying we need to be a little bit more precise with the definitions here like who are the incumbents i don't know um incumbents anyone who thought they knew what their company was pre chat three and yeah everybody you know the the upstarts are people who said oh man i have to invent my company with chat gpt in mind i just say i basically Basically, what I'm seeing is that companies like Notion and Figma are very much like live players in this game.

32:06And they're really trying to avoid these disruptions from below. Our next clip is from the first panel of the day with Microsoft's Bonnie Cruft and Hugging Faces' Thomas Wolfe. I introduced it saying this was my smart people panel. It was the question of whether we'll find novelty in AI and where true discoveries lie with the AI systems of the day. Let's hear what they had to say. So, Thomas, you wrote this great essay basically asking the question of will AI produce a Nobel Prize? Will it create an Einstein? Like, what was your conclusion there? How optimistic or not are you about the ability of the current paradigm to produce a true revolutionary idea?

32:54I'm not super optimistic on this right now. Not optimistic. You almost whispered it. You're like, this isn't the crowd to admit it. In most part, I'm usually the optimist because I think there's a lot of great stuff you can do with AI. And as, I mean, probably you got the idea right here, which is you have two things with AI. You have the assistant that's really getting amazing. And I think training DFT models, training AlphaFold, these are amazing assistants. And they will definitely lead to some interesting discovery. But like we were discussing yesterday when we started to talk about this panel, this discovery will come still from this part of creativity of a human saying, oh, I'm going to use AlphaFold to explore these proteins.

33:38And that will be the thing. And then half of all helps you find how it works. And then you have the other thing, which is taking this trillion parameters model and ask them, invent something now, invent something new. We want to travel faster than light. How should we do, right? If you ask that to chat GPT, nowadays the answer you get are pretty bad. Well, I don't really understand his takeaway exactly. Would it count if a scientist used chat GPT or GPT-5 to like win a Nobel Prize? I mean, I think he's saying that that is clearly going to happen. I think both panelists were bullish on AI models expanding like the search space for discovery or being like, we're going to be able to like, I'm an expert in material X and it will consider material Y, but it doesn't think this sort of like contrarian, like think outside the box, reinvent core premises that AI is capable of doing that.

34:33I mean, I think he's saying, like, if you just ask the big model, like right off the shelf, go invent something for me. It's not very good at that. I agree with that. That could change. But that is the current case, I guess. That doesn't really matter. I mean, like we're going to have if even if it's just, you know, humans have to, like, tell it to do something that's adjacent to their own research, like that would still be revolutionary. Yeah, I'm definitely with James here. I mean, you can't just walk to a random human scientist and be like, oh, go figure out, you know, the nature of the universe or whatever.

35:05I mean, like it's like, OK, well, give me 50 years and I'm going to go do research and dig into things. Right. He's saying we're training these models on the boring rule followers, which are him. He includes himself in this and the vast majority of us. But he's saying that the true novel discoveries are created by independent thinkers and that we are not training AI to be that sort of revolutionary. I just I mean, I just don't believe this. So, you know, obviously, none of us are scientists, but I do think that there's this like persona of defiance. No, of course, I believe that being an independent thinker is incredibly important to making novel discoveries.

35:41But I think so much of the way novel discoveries come about is not just this personality, but it's it's searching the sort of frontiers of of what we know and and being aware of, you know, to go Rumsfeld here. Like, what are the known unknowns? What are the unknown unknowns? You know, and even in that protein folding example, you know, you could say, OK, well, here's like, you know, 10 ,000 proteins that, you know, I think might be interesting in terms of like being an agonist for this receptor. Like, what are the top hundred you think I should look at or whatever? And and like even just narrowing down that list from 10 ,000 to 100, you know, using a genius AI is like 100 X improvement in the efficiency of this search space where you're trying to discover, you know, new science.

36:23Right. So like, I just don't I don't really believe that like, you know, dude sitting alone, like, you know, coming up with crazy ideas is how most scientific discovery happens. I think a lot of it's searching these efficient frontiers that we've discovered so far. and trying to continue to push them forward in interesting ways. And being 100x as efficient as filtering ideas or remixing ideas or sort of creating slight tweaks on what we know so far is so much of, I think, discovery, which I think AI would be tremendous at. Connecting ideas across disciplines, right? Like, you know, you know a lot about both biology and chemistry and physics or something, right?

37:01Which I think the models are clearly best in the world at in terms of depth of knowledge in every scientific discipline. So I think if we believe that connecting the dots across these fields is important to discovery, I think we're tracking in a great way there for the models. I think the defense is one, the models are pretty capable now. And even in the sort of like, okay, we're not revolutionary thinkers, find the cool stuff. I feel like it's a little underwhelming. I mean, I still don't think it's delivering me scoops. So but putting putting that aside, I think we're all somewhat optimistic that like the sort of rule follower consensus associative thinker will be able to find a bunch of stuff that we just haven't put together.

37:46And there'll be this period of a lot of value to sum up my point here. Models are sycophants. Sycophants don't win Nobel Prizes. You know, I think every great man story in history is about sort of like rejecting the consensus, I think. But my point is, yeah, they're sycophants. The models are. And academics need to be free thinkers. And until we can figure out how to train a model to really resist core premises, we're reinforcing the status quo. And so it might discover things that we would have already concluded, but to really reject human thinking, it feels like that's not how it's trained. That's how I see the argument.

38:25I don't know if I totally agree with that. But moving on to what I think will be our last clip of the day, perhaps the most provocative. We have a great line from the CEO of Synthesia, Victor Riparbelli. Definitely designed for peak spice. Give it a listen. I guess, you know, last question for you, Victor, like within a company, similarly, like what percentage, you know, how many times a day am I going to be watching an AI generated video that's explaining something to me like five years from now? Is it daily, hourly, you know, every five minutes, everything I do? Like, what percentage of corporate, the corporate experience is going to be consuming AI-generated video, you know, five years down the road?

39:03I think it'll probably mirror your personal life, right? Okay. I mean, I don't know you that well, but when I look at my own, like, media mix of, like, what I consume, I consume mostly podcasts, YouTube videos, TikTok videos, Instagram reels, Instagram photos. I also do read, but way less than I did five years ago. And I think that'll be kind of mirrored in the workplace. It could be hard to imagine exactly what it's going to look like, but I truly think that that is clearly what people prefer when no one just tells them what to do. And so I think that's what we're going to see in the workplace as well.

39:30And I have this often very provocative to people idea that your kids' kids are not going to be reading and writing. They're going to be watching and listening almost exclusively. And I think that is going to happen. I'm teaching my daughter to read right now. I'm going to get there. At some point, I think text will just feel a bit like vinyls or something. We'll do it sometimes because it's like a fun, nostalgic thing. but for actual information dissemination um it's gonna be like a very low bandwidth compared to where's paul graham that's that's my first reaction paul graham has been beating the drum writing is thinking and so i guess my biggest defense of writing and why this terrifies me the most is less that like uh everybody i mean it's good reading is how you learn to write and writing is how we think and so if we don't have reading and writing human intelligence as we know it today collapses.

40:16That's not necessarily a defense to the lure of video, which I agree is very strong, but definitely this vision is to me, one of much stupider human beings. Well, do you feel like right now in this podcast, you're not thinking, you're not learning like I do. I feel like I have to like, you know, think about what you guys are saying and concoct my responses like on the fly. And I just think like if I could constantly talk to other humans, you know whether they're um a actually ai's or not like i don't know i think i'd still be learning right like so i guess i kind of understand what he's saying professionally does both podcasts are in an intellectually lazy medium compared to writing writing you really have to figure out your argument like i could just be i'm most fun on a podcast being loud boisterous disagreeing slipping around like the all-in guys have the most popular podcast in the world writing requires you actually like organize your thoughts somebody could break down an argument no no i yeah i think podcasting is a much lazier way to engage with ideas than writing what about like a one-on-one tutor just chatting you know one-on-one with i mean socratic you know if you really push it but it's just so easy conversation lends itself to being social and like slipping to the next thing and like this is why this whole you know there's the whole silicon valley way of you know argumentation that's sort of like we were following each other's ideas and like jumping around that's that's not how you would write like a proof and like i just think if you want you know argument and reasoning in sort of like proof form writing is much better than yeah i just think we're talking we're basically talking about like the average person growing up in america like how will they learn in 12 to 15 years like i definitely think there will be a lot more like personalized tutoring that basically feels more like working one-on-one with a human you know assistant right and so less less writing i i agree with that i don't know if it means no writing but but is this fatalist i i sort of agree with though we are going to be pulled to less writing i'm just saying do you think we'll be dumber if we write less i don't know man i think the percentage of americans that like write and at all, like, you know, essentially like rounds to zero for, I would argue, probably 98 % of the population.

42:40Like, and so I would sort of argue like you're already there in this dystopia, if you believe this is a dystopia. And then on the other hand, yeah, I'm, I'm kind of more team James here, which is, I agree, writing is a form of thinking. And I think having to prepare your thoughts in a written format allows you to distill and improve them. But I also don't think it is the only way to think. I mean, like thinking is thinking as well. I mean, there is a whole yeah, there is a whole genre of, you know, shower thoughts. Right. I mean, like Elon Musk always says he comes up with his best rocket ideas while he's showering and stuff like is he writing them down on the, you know, the squeegee like on the wall of the shower?

43:17I mean, like it is. I have always thought like my best thoughts came from like exercising or like walking around or something, you know, it's not writing. Right. And so I'm just not sure I, A, believe, like, first of all, that near as makes no difference. Basically, nobody writes in the United States, I would argue. And then B, I think there are other ways to think. So I sort of believe Victor's thesis, and I think it's a little bit less dystopian. But, you know, you guys are both, I think, better writers than I am. So you might find more. But you write company memos. You communicate things. But I don't necessarily think that's my best thinking.

43:51You know, I'm not like looking back on my company memos and being like, oh, those are much better thinking than when I have a good company. conversation with James. I mean, this is a, this is a deep sort of question that I think about a fair bit. I, I, and I'm a pretty auditory person, like love audio books and everything. But I think in terms of writing, you can have great ideas in the shower, great ideas on a podcast, but like what's unique about writing is the emphasis on revision. And I think what writing has is that you have to sort of go back and say, Oh, does that sort of make sense? And so, So, you know, I think, you know, smart people, you know, like the sort of like first burst of like this great idea.

44:32And like that is like really fun on a podcast and like a first draft of writing. But I think like a tight argument is often in revision and writing is unique there where you have to sort of face your ideas and sort of beat them down and reform them and make them work. Back to Paul Graham, Y Combinator has basically a two-phase application process. The first is super writing heavy. You answer all these questions about your company. I think Max and I found that to be a very helpful process in some ways where it forces you to refine your startup idea. But the actual like interview process is 10 minutes of them asking you questions in a conversation.

45:13Right. And I also found that to be like a very thought provoking experience. So I don't know what whether you need both or not, but they it seems like we're definitely gravitating to a world where conversation is going to be more prominent and you'll be able to do that like sort of Socratic style of. I think this like Socratic dialogue is definitely another sort of valid and interrogating line of thought that is a little different than podcasting. In podcasting, I think there's often an agreeableness and a sort of like we're all going in the same place and like sort of like improv or something.

45:49Whereas like we're a true like interview Socratic dialogue. And that's I think where teaching can fit in, where you're really like challenging that that can help. The last thing I'll say is like, you know, you can write with Chachibuti. So I don't know that I necessarily think what's happening with AI is going to totally hurt writing. It's making a great writing tool that really interrogates you much, much more available. Yeah, it does seem like people are probably writing more than they were in the past now with ChatGPT because you have to write full sentences. You know, Google was just about keywords.

46:22You end up in these longer dialogues. So I wouldn't be surprised if like we're on like a slight uptick in writing. But I think the elites are probably in a downward trend. I don't know. You read old, old, like famous people, letters to their friends. I mean, I just feel like there are like these long sort of reflections and some of these letters. Right. But, but I mean, to come back to the, the overall point, like was the quality of their thinking like superior to ours? I just don't believe that. Like, I think that if you look at any metric you can measure over time, you know, there's this concept of like the Flynn effect, which is that IQ keeps going up on, you know, on average over the decades.

46:57Right. So like, yeah sure i mean john adams and like abigail adams like wrote some amazing letters but like the you know the at least the average iq in their society was much lower than today even though you know the elites were all writing much more so i'm just not convinced the elites are way less literary today i mean you sure that for sure of course because that was kind of the only medium for expression right now yeah and we're going to movies yeah yeah yeah movies contain a lot of information uh but i i remain you know pessimistic about the world basically you remain i know i i think ai is going to democratize a lot of tools i think we're still in this period where this is allowing much more people to get access to education than before so i think it'll be net good but i think it's encouraging some of us like super elites to be lazier than we should be the writing is a good way to think this is a super elite podcast for the record obviously super elites yes uh what i just admit it like nobody wants to say they're elite anymore like i plan to be a davos this year uh with my fellow super elites oh my god i'm not trying to be indulgent i'm just trying to be honest that we don't reflect like you know the average reading brainwriting consumption.

48:16Max, you know, you're teaching your daughter to read. That's sort of an inspirational story. What is your, what's your, what's the method to teach you? Oh, I mean, this is, this is the beauty of it is it's an iPad game. It's an interactive iPad game. Uh, that's actually made by a startup in, uh, up in Seattle, I believe it's called Mentava. Um, and this is not a paid ad. This is not a paid ad. It costs a fortune. You're somehow getting it for free. I got it for free because my daughter is becoming an influencer, which is also an important skill. They're making videos of her playing the app. But yeah, I mean, it's awesome because I think the screen time has become such a meme among parents that it's sort of objectively bad to have any screens in your kid's life, especially in the super elite circles that I roll in.

49:03And this app is teaching my daughter to read it at, you know, years ahead of when she would be learning these things in school. And so I think it's just evidence to come back to the more optimistic perspective on software and AI in general that, you know, interactive experiences, even if they're sort of purely educational, can be a really positive thing for kids on screens and using software. And so I actually think that makes me have very long like AI education and sort of software driven human improvement or augmentation or whatever you want to call it, because she's making progress at just a crazy rate compared to school.

49:39So whether or not videos or games are the way she learns how to read or learns math eventually, I think there's clearly much better ways for kids to learn things. And in my opinion, a lot of it involves software and AI. That's a much happier note to end on. Thank you very much. Well, we'll see you guys ahead of the next Cerebral Valley AI Summit. It'll be in San Francisco on November 12th. I'm sure we'll have a lot to catch up on in late October and November. We'll see you then.

From the publisher

Fresh back from London! In this episode, Eric Newcomer reunites with co-hosts James Wilsterman and Max Child of Volley to dive into the best moments from the Cerebral Valley AI Summit.

From buzzy startup founders to incumbent innovators, the London event showcased a rapidly evolving AI landscape. But what stood out most? Eric, James, and Max break down their favorite clips and debate the key questions driving the industry right now:

  • Models vs. Applications: Are we back in a “models win” moment?
  • The Uber Dilemma: Why did Uber spin off its self-driving technology instead of competing with Waymo? Dara Khosrowshahi’s reasoning sparks a heated debate about platform dynamics, marketplace power, and whether Uber made the right call.
  • Figma’s IPO Moment: With their S-1 filing just days after the summit, Dylan Field defended Figma’s AI strategy and new product launches.
  • The Science of Discovery: Can AI models trained on “boring rule followers” actually make Nobel Prize-worthy breakthroughs?
  • The End of Reading?: Synthesia’s CEO made the boldest prediction yet — that kids won’t read anymore, and video will replace text entirely. The hosts wrestle with what this means for human intelligence and whether writing really is thinking.


The next Cerebral Valley AI Summit returns to San Francisco on November 12th!

Timestamps08:21 Uber’s Self-Driving Strategy and Market Positioning16:56 Figma’s IPO Bear and Bull case26:17 Harry Stebbings’ Interview Insights with Granola’s CEO32:11 Exploring AI’s Role in Scientific Discovery38:26 The Impact of AI on Reading and Writing


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