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The New AI Agents That Shop, Plan, and Gossip

Will we have one AI assistant that does everything, or an entire network of agents that know different parts of our lives? David Pawlan, creator of Assistant Benchmark, returns with Anish Acharya and Josh Elman to take stock of how quickly the agent landscape has changed. David has now tested more than 140 AI assistants, and they unpack what separates them, from memory and judgment to trust, shopping, and social experiences. They also explore what happens when agents start talking to each other, how they could create new kinds of social networks and serendipity, and why the most compelling agents may ultimately do more than save time. They could become a kind of secret superpower. Timestamps: 00:00 Intro 00:52 Inside the agent meetup 03:36 An army of agents for every part of life 05:12 Trust, fences and the Shane Mac Slack leak 09:15 Privacy vs. utility: what people will actually share 12:16 Testing agents on flowers and a weekend in LA 21:00 Photos, screenshots and new sources of context 25:31 Will agents make consumers more rational? 29:27 Multiplayer and gossipy agents 36:55 From OpenClaw to agent-to-agent networks 46:15 What will change by next month Resources: Follow David Pawlan: https://x.com/DavidPawlan Follow Josh Elman: https://x.com/joshelman Follow Anish Acharya on X: https://x.com/illscience Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Josh ElmanhostDavid PawlanguestAnish Acharyahost
Nov 4, 202650mWatch on YouTube ↗

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EVERY SPOKEN WORD

  1. 0:00 – 0:52

    Intro

    1. JE

      We have so many different facets of our life, whether it's how we're managing our finances or planning trips. Agents are gonna be able to fill different facets of these.

    2. DP

      From over one hundred and forty-seven different assistants that have come across my plate so far, the number one fear that people talk about, twenty-two percent of the messages are talking about trust as the main fear.

    3. AA

      What are the aspects of ourselves that we don't either want to think about or reveal? Whoever is able to build that type of trust, almost like a dark agent, will actually have something really fascinating on their hands.

    4. DP

      It is a very, very sensitive space. It's almost gonna be like-

    5. JE

      Yeah

    6. DP

      ... a new, like, social network where businesses have to put a lot more thought and value into the quality of what they're giving out.

    7. AA

      What I've seen from 30 years in consumer product is paternalism will kill any product. We talk about productivity and goal sort of achievement, but maybe people want the exact opposite of it.

    8. DP

      Everyone right now really is approaching this world as just, like, a general assistant. As time goes on, we'll start to see-

  2. 0:52 – 3:36

    Inside the agent meetup

    1. AA

      Welcome back to the a16z show. I'm here with my partner, Josh, and David, who's been leading a ton of the, um, agent bench and assistant efforts. We're gonna talk about all things agents, and a ton has happened since we last connected. What was it, a month ago?

    2. DP

      Loads. About a month ago.

    3. AA

      Oh my God, dude. I feel like we should record an episode every-

    4. DP

      [laughs]

    5. AA

      ... like TVPN style, you know-

    6. DP

      It's insane

    7. AA

      ... almost every day. [laughs]

    8. DP

      Absolutely insane.

    9. JE

      Agents are changing every day.

    10. AA

      That's totally right. So okay, so maybe let's start with, um, last night you hosted an agent meetup.

    11. DP

      Yep.

    12. AA

      Kinda tell us about the event. Tell us about the vibes. Tell us about the topics.

    13. DP

      It was great. So we had just over 100 people come out, all just proud agent nerds, loving everything to do with agents and that whole world, and it was just people just hanging out talking. Um, we, we did have a pitch competition of sorts, so a bunch of 10 different AI assistant builders were able to pitch their, their startup and what they're working on, and it was just good conversations. It, it's interesting how, like, the general, uh... The, the general thing that really stuck out to me was that people are craving community even in the agent web world, and everyone's like, "Why don't we have more of these meetups? Why don't we have more of these, you know, th- these opportunities to get to know each other?" Which is, uh, it's kind of funny hearing it from people who are spending all their day, all their time just messaging agents. But it-

    14. AA

      And it's funny because it feels like a l- so many of these products are at least overlapping in a cursory way-

    15. DP

      Yeah, right

    16. AA

      ... that the founders might be a little bit more cagey, but that's not what you're seeing, huh?

    17. DP

      No. Everyone is incredibly open-minded, uh, just very interested to be getting feedback, I think because we're so at the frontier of this. Nobody really knows what the landscape is really gonna shake out to be.

    18. AA

      Yeah.

    19. DP

      And so we're all just kind of playing in the sandbox together.

    20. JE

      Well, well isn't it also that we have so much more time because we're just using our agents to do all these things?

    21. AA

      [laughs]

    22. DP

      Right.

    23. JE

      We have more time to actually hang out together-

    24. DP

      Right

    25. JE

      ... and be in person, so maybe that's part of it, too.

    26. DP

      Totally.

    27. AA

      That's right.

    28. DP

      Totally.

    29. AA

      That's right. It is actually fun. I mean, it reminds me a little bit of the early days of social gaming or social networks broadly.

    30. JE

      Yeah.

  3. 3:36 – 5:12

    An army of agents for every part of life

    1. JE

      it together.

    2. AA

      So I totally agree that we're gonna have a whole world of agents, you know, as many different sort of types of humans as we might have, you know, or archetypes of humans-

    3. JE

      Yeah

    4. AA

      ... I think we'll have a similar number of agents. But maybe talk about what you think are the, um, the different axes for differentiation.

    5. JE

      Yeah.

    6. AA

      Like, there's a sort of spectrum between really serious and productive, um, to, like, really playful and maybe even sort of adversarial. Um, and I'm sure there are many other ways to think about these things.

    7. JE

      Yeah, I mean, I think what's gonna be really interesting is we have so many different facets of our life, whether it's how we're managing our finances or planning trips or dealing with our health or just getting through our day or managing our calendar or sometimes just wanting to think something out loud, and agents are gonna be able to fill different facets of these. And you call different friends for different things. You spend different... You know, you know, friends who have different expertise that you call when you need expertise. And I think we're gonna get used to having kind of an army of agents that will do this, and some will be very matter-of-fact and will be like, "Hey, I need to get this thing done." It'll be your productivity agent.

    8. AA

      Mm-hmm.

    9. JE

      Some will be plugged into your email, and it'll be like, "Here's the five emails you need to get done right now." And some are gonna be sort of these agents you'll kind of want to talk to all day that'll be fun, that might even be a little bit gossipy. I've been playing with a few agents that are, are very kind of playful and gossipy, and they're connected to a few of my friends too.

    10. AA

      [laughs]

    11. JE

      And they'll share information back and forth. One just told me, um, that my friend's power w- uh, had been out all weekend because he'd been doing some renovation and they'd cut the power. And you know, I called him that evening and I was like, "Dude, you didn't tell me your power was out. The agent told me."

    12. AA

      Yeah.

    13. JE

      He's like, "Yeah, yeah, I knew that's how you'd find out."

    14. AA

      [laughs]

    15. DP

      [laughs]

    16. JE

      And like, that's like creating these, like, better connections, but that has nothing to do with booking a trip or saving money-

    17. DP

      Right

    18. JE

      ... or getting anything done.

    19. DP

      Right. I think from

  4. 5:12 – 9:15

    Trust, fences and the Shane Mac Slack leak

    1. DP

      over 147 different assistants that have come across my plate so far-

    2. AA

      Mm-hmm

    3. DP

      ... I've seen them really broken down into four categories. You have the general, you have the work-oriented, you have the multiplayer, and then you have the travel. And the one that I have not really seen come to fruition yet is more of, like, the, the finance side of things.

    4. JE

      Yeah.

    5. DP

      And I think it actually does make sense when you start digging into the numbers. So of all the different group chats that I'm running of AI power users, there's about 3,600 give or take messages, uh, so far.

    6. AA

      Mm-hmm.

    7. DP

      And when looking at, like, the pain points of what are the fears of the space, the number one fear that people talk about, 22% of the messages are talking about trust as the main fear.

    8. JE

      Hmm.

    9. AA

      Huh.

    10. DP

      And so it's, it's really interesting to see because you have one camp that's this productivity and, and aspects of fun that's just interesting and brings a different sense to life, but then you have another camp that really still is sitting in this kind of fear space of- Being a little trepid and not really knowing where, where the space is moving. And I'm, I'm really curious to see how things are gonna play out on that trust layer.

    11. JE

      Hmm.

    12. DP

      And if we can solve that trust layer, then what do we end up seeing on more of, like, the finance side of stuff?

    13. JE

      And if you looked at what Shane Mac has been talking about recently about trust, he's been talking about this, like, concept of something called Picnic.

    14. DP

      Yep.

    15. JE

      And they had an analogy that I really liked, which is, um, you know, if you have a kid, and you don't have any fences on your yard, and you let him go run arou- go run outside, you're actually very worried about them, and you try to protect them, and you don't want them to run very far from the house.

    16. DP

      Right.

    17. JE

      And you actually don't really wanna do them without watching. And then the moment you actually put up a little fence in your yard, you say you can just go roam free within the fence boundaries-

    18. DP

      Right

    19. JE

      ... and be very, very safe. And, and so he's really kind of like, "How do we build the right fences, so we let our agent play in this fence, give it access to some of our data-

    20. DP

      Mm-hmm

    21. JE

      ... some of our apps, some of our other things, and be able to actually do everything it can within that fence boundaries?"

    22. DP

      Right.

    23. JE

      He had a problem where I think a personal agent spanned over into work, and it actually, like, blasted his finances-

    24. DP

      Yep

    25. JE

      ... on his company Slack.

    26. DP

      Yep.

    27. JE

      And I think that's the whole point of like, "Wait. Okay, my personal agent should have access to my personal things and my personal communication channels, but not my work ones-

    28. DP

      Right

    29. JE

      ... and not let those bleed." And so that idea of fences and permissions and more controlled permissions and better monitoring is really how we're gonna have to build a lot more trust.

    30. DP

      Totally.

  5. 9:15 – 12:16

    Privacy vs. utility: what people will actually share

    1. AA

      I, I think there's, like, a stated versus revealed preferences thing here, 'cause I think in revealed preferences, consumers will share any amount of data for even the most trivial amount of upside.

    2. JE

      Yeah.

    3. DP

      Right.

    4. AA

      You know, like, people have been connecting their cards, their credit cards, and their bank accounts via Plaid since the Venmo era. So I don't know that peop- But when you ask them, they're like, "Oh, yes, I'm very concerned about trust and safety." I think an example, though, of where consumers are very concerned about sort of trust and assumptions is around being embarrassed-

    5. JE

      Mm-hmm.

    6. DP

      Yes

    7. AA

      ... and social signaling. And actually, I think the most interesting thing about the Shane Mac story-

    8. JE

      Yeah

    9. AA

      ... maybe the most horrifying, visceral thing, is that it embarrassed him.

    10. JE

      That's right.

    11. DP

      Right.

    12. AA

      It really embarrassed him, you know? And, and that's why I think some of the kind of agent-to-agent network thing, 'cause you could imagine somebody you're just getting to know, maybe you're going on a second or third date, and your agents are talking, and you're like, "Whoa, what are they saying about me? How are they kind of positioning what I-

    13. DP

      Right

    14. AA

      ... You know what I mean? Like, there's just, the social mechanics actually feel so much higher stakes than the actual, like, real-world implications.

    15. DP

      And it's, it's a good point.

    16. AA

      Yeah.

    17. DP

      And there's a recent proof point of it in Hark had a huge marketing campaign. They offered a million dollars to anyone that wanted to use their product-

    18. JE

      Yeah

    19. DP

      ... to get free pizza, right?

    20. AA

      Mm-hmm.

    21. DP

      Each person would get $30 a pizza. In order to get that $30 a pizza, you were granting access to your entire Google workspace, all of your emails, right, all of your data for 30 bucks.

    22. AA

      Mm-hmm.

    23. DP

      And it just proves it, you know, right there, that people are willing to just give up all that data for some free pizza.

    24. JE

      Yeah, I mean, I, I tend to think, though, there's always this trade-off of, of privacy versus utility.

    25. DP

      Mm-hmm.

    26. JE

      Which is if you can give me better utility, then I'm willing to make some privacy trade-offs. But at the point at which we're basically equal on utility, people will always choose a more private option.

    27. DP

      Right.

    28. JE

      I mean, this is a world that Apple's lived in very much. Privacy is obviously a forefront of Apple's devices, of the work they do to make these devices and the software secure. Even on AI, they've talked about private cloud compute. You know, we used to talk about that a lot as, like, the center of why your data doesn't actually go anywhere or get shared with anything. But I think we've also seen that people want the most powerful AI, and they won't always choose that.

    29. DP

      Right.

    30. JE

      So we have to find that intersection of trust. I think this embarrassment point is really, really important, too. Because I think, um, you want your agent to understand you and have all your personal preferences, and that, like, let's just say you're, like, lactose intolerant, and then you get this order of free pizza-

  6. 12:16 – 21:00

    Testing agents on flowers and a weekend in LA

    1. DP

      space.

    2. AA

      It's interesting, I sign all the email that I write with AI with the model that I used.

    3. DP

      Mm-hmm.

    4. AA

      Like, I write my own name plus the model number-

    5. DP

      Nice

    6. AA

      ... so that I'm just signaling to the person-

    7. DP

      Yeah

    8. AA

      ... like, "Hey, I'm acknowledging that I used AI for this."

    9. DP

      Right. I like that.

    10. AA

      'Cause I think actually people are pretty flexible as long as they don't feel hoodwinked by it.

    11. DP

      Mm-hmm.

    12. AA

      Um, you know, it's interesting 'cause we're, we're talking about privacy-

    13. DP

      Mm-hmm

    14. AA

      ... but there's privacy and there's judgment, which is different.

    15. DP

      Yeah, yeah.

    16. AA

      And discretion is maybe somewhere in between. Um, you know, you did this sort of test where you asked a whole bunch of agents to order flowers. Talk a little bit about which displayed the best judgment and, and w- how did you even define judgment in that case?

    17. DP

      So the main intention of that test was to see how do agents balance two different constraints. One was cost-

    18. AA

      Mm-hmm

    19. DP

      ... and the second was, uh, time preference. So I wanted flowers to be delivered to me today, and I wanted them to be as cheap as possible. So how is it gonna actually go and discover, uh, based on the ability to actually deliver it, then also compound in the, the actual pricing. Instinct really did a, a phenomenal job. Um, and it is something, it's, it's interesting how news cycles come and go, and it seems like they're kind of not in the conversation as much as, as they used to be.

    20. JE

      I mean, we're talking the weekly changes.

    21. AA

      Sure. [laughs]

    22. DP

      Right. But, uh-

    23. AA

      True

    24. DP

      ... it is, it is true. But they, Instinct really did continuously bring back, uh, the, you know, the, the best price. Um, there's another app called Kicker, which did a phenomenal job, and, and one way that I think it was able to have an edge is that it has you install a Chrome browser-

    25. AA

      Mm

    26. DP

      ... and so its browser use has a little bit of an advantage from that point.

    27. AA

      Mm.

    28. DP

      And it was able to, to find some really, really great options. Season also did a really good job. All the other ones kind of struggled on the price component. So they were all able to find, uh, uh, flowers that could be delivered that day-

    29. AA

      Mm-hmm

    30. DP

      ... but they really seemed to take a step back in prioritizing the price, whereas, uh, you know, the other three were able to really put equal weight to those two. And so it's interesting to see as you start giving these agents more complex preferences-

  7. 21:00 – 25:31

    Photos, screenshots and new sources of context

    1. DP

      Totally. But I think, I think it brings up another, uh, variable of context, which is photos, right? Like this-

    2. AA

      Yeah

    3. DP

      ... this new paradigm of using photos to pull an incredible amount of context on you in ways that you wouldn't even think to describe.

    4. AA

      Yeah, I mean, I think have you, you tried Dazzle? Has Dazzle gotten into your benchmark set yet? That's from Marissa Mayer's new company.

    5. DP

      Yep, yeah. That's right.

    6. AA

      And I think the idea of, like, looking over your entire life that you've captured, that have been moments that are important enough to you to actually save, or screenshots or other things-

    7. DP

      Yeah

    8. AA

      ... tells so much about somebody.

    9. DP

      An incredible amount. Um, it, it hasn't been added to the benchmark yet.

    10. AA

      Okay.

    11. DP

      It is quickly on the, the top of the list to test through. Um, I'm still manually testing all these-

    12. AA

      [laughs]

    13. DP

      ... so I actually get the personal experience and-

    14. AA

      Yeah

    15. DP

      ... and understand what the feeling is with each one. But what I really like about how she's approached it is they put a lot of emphasis on this trust layer, and because I think it's a huge variable is I'm giving you all my photos. That's-

    16. AA

      Yeah

    17. DP

      ... it's pretty, it's pretty terrifying. But they, they have this one thesis that it's, you know, if you don't need it, they're gonna forget about it. And so if a photo seems as though it, it has context that it doesn't necessarily need or things that you probably wouldn't want it to know, um, they're, they're going to try to get ahead of that and just forget it and not even include it in the set. So it's gonna be interesting to see how these, these different players do approach the, the photo context and how that actually does then influence the behavior of the agent and how well it knows you.

    18. AA

      It'll be interesting to see. I'm a tiny bit more skeptical. You know, I built an app 'cause I've always been fascinated by screenshots because screenshots are sort of the only way on the mobile phone-

    19. DP

      Yeah

    20. AA

      ... to be able to capture context across every app.

    21. DP

      Right.

    22. AA

      So it's actually a really interesting kind of data asset, and you go back and you look at your screenshots, and it gives you a little view into your work and your world at the time.

    23. DP

      Yeah.

    24. AA

      And, and also your interests and preferences. So I built an app that just extracts key information from all the screenshots on my phone.

    25. DP

      Cool.

    26. AA

      And it was fine.

    27. DP

      Okay.

    28. AA

      But I didn't find myself coming back to it. Like, the value of the information sort of decayed quickly over time.

    29. DP

      Mm-hmm.

    30. AA

      Now, it will be really fascinating if people start to then take more screenshots-

  8. 25:31 – 29:27

    Will agents make consumers more rational?

    1. AA

      Oh, please

    2. DP

      ... I was gonna say it goes to Patrick Collison's tweet, right?

    3. JE

      Yeah.

    4. DP

      Of talking about this future where consumers become a lot more rational because our agents are doing all the work on our behalf.

    5. AA

      Yeah.

    6. DP

      It's really gonna create a world where businesses have to put a lot more thought and, and value into the quality of what they're giving out, and it's gonna be really interesting to see that.

    7. AA

      So somewhat, I'm gonna quibble with this point.

    8. DP

      Okay. [laughs]

    9. AA

      I, I love Patrick's vision.

    10. DP

      Yep.

    11. AA

      And I think that, that, there, that, like, broadly, that will be true, that agents will make often better choices on our behalf than we might make for ourselves. But I do think that agents are going to have their own revealed preferences-

    12. DP

      Mm-hmm

    13. AA

      ... and their own sort of, uh, sort of directions of irrationality, though it will not be of a human mind, it will be of an alien mind, and I'll give you an example. I think agents may have an irrational preference for clean APIs with great docs.

    14. DP

      Okay.

    15. AA

      You know?

    16. DP

      Yeah.

    17. AA

      Um, and they may actually ascribe a lot of value to that-

    18. DP

      Yeah

    19. AA

      ... because it's a proxy for something, and they may really dislike janky A- APIs with, you know, Java code behind it.

    20. DP

      Right.

    21. AA

      Like, I don't know. So I do think it'll be really interesting to see 'cause they too are going to need shortcuts, you know.

    22. DP

      Mm-hmm.

    23. AA

      How will the agents actually know what product quality is? So one part of it is they'll probably have these revealed preferences, and then another is we'll need some sort of a consumer research but for agents-

    24. DP

      Right.

    25. JE

      Yeah

    26. AA

      ... that will then presumably be paid per transaction to do this research.

    27. DP

      Right.

    28. JE

      To do all the ratings. I don't know. I'm, I'm also more biased, and I just think people are people, and people are gonna make the choices that they wanna make that are the most satisfactory. So the question then is, is the agent gonna be very careful in curating the set of options that it presents?

    29. AA

      Mm-hmm.

    30. DP

      Yeah. [laughs]

  9. 29:27 – 36:55

    Multiplayer and gossipy agents

    1. JE

      Well, and I think you mentioned Wabi. One of the things I really like about Wabi, and it just, I think, launched, you know-

    2. DP

      Yesterday

    3. JE

      ... just this week or yesterday-

    4. DP

      Yeah. Yeah

    5. JE

      ... um, uh, is it's not even just experimenting with, you know, an agent, but it's experimenting with, like, how to interact with multiple threads of your life.

    6. DP

      Right.

    7. JE

      Like, Wabi goes through my email and other things, and actually gives me, you know, a whole bunch of different threads of life, and actually, when things come up on email on those things, it actually feeds them into the different threads. I have one thread with Wabi, um, that I built a little watchlist of all the shows that I wanna watch, and books I wanna read, and shows I wanna go see. Um, and it keeps track of all that, and then I can, like, "Oh, I heard about this new book from John Grisham," like, add that to my list.

    8. DP

      Right.

    9. JE

      And, "Hey, I've just finished the first Dungeon Crawler Carl. Can you give me the next one?" And like, you know, "What do people say about it?" And it's become this really interactive thing on, like, the media that I wanna consume, but it gives me all these different threads, and it even gives you UIs-

    10. DP

      Mm-hmm

    11. JE

      ... that actually are, like, these widgets to, like, envision everything. So I think, again, it's showing us, like, a very different experience than just a general agent that is more like a search box, and is more like task, task, task.

    12. DP

      Right.

    13. AA

      I think one of the interesting things that Wabi does is, and perhaps gets right, is that when you create the message channel with your friends and the agent, and everybody's on an equal playing field on D0, it actually creates a new kind of blank piece of paper where you can establish a social contract together. Whereas when you have iMessage group threads and you add the agent, there's some-- certainly if it's an existing thread-

    14. JE

      Yeah

    15. AA

      ... then it's very uncomfortable, 'cause it's like, well, what can the agent see?

    16. JE

      Yeah.

    17. AA

      What did they extract? But even for a new thread, there's a set of implicit expectations about how you interact with people on iMessage, and I don't know that we're quite comfortable with agents in that space yet.

    18. JE

      I mean, I always think then, do I end up with two threads with the same group of people, and I have to pick which one to use?

    19. DP

      Right.

    20. AA

      [laughs] Right.

    21. JE

      Like, I'm finding that much harder versus, you know, an email chain, you know, is very much specific about, like, a task, and it can even go on for a long time. But that feels much more specific to, hey, we're talking about this topic, everything's contained back to privacy and trust-

    22. DP

      Right

    23. JE

      ... around this topic. We're getting great help from the agent, you know, in the case of, like, a Wabi thread around this topic. But it's not bleeding into everything else we might also discuss.

    24. AA

      Totally. Um, I wanna quickly hear from both of you on what are some of the more, I don't know, far-flung or y- you know, sort of insightful approaches that you've seen.

    25. JE

      You know, one of the things I've started seeing, um, is more of these agents that are kind of, like, fun and gossipy, and will actually get you to invite your friends, and will ask you a bunch of questions, and be really, really curious about you and what's going on in your life, and then it'll share some of that with your friends.

    26. DP

      Mm-hmm.

    27. JE

      And then it'll share some things back with your friends. And I was talking to the founders, and they actually can read some of the transcripts between the agents that they're talking about, and they haven't figured out how to productize that, but they said it's an incredibly exciting and very intriguing to see how these agents kind of relate to each other in this sort of gossipy background. And so far, I've found them just to be, like, probably some of the most joyful moments I've had with agents. Again, I, I mentioned at the beginning how my friend had, like, lost his power over the weekend. But when, uh, we were first both onboarding onto this agent, it was like, "How'd you guys meet?" And we told slightly different stories, and the agents were kind of, like, poking us both to, like, rationalize the two stories-

    28. DP

      Right

    29. JE

      ... of how we met.

    30. AA

      [laughs]

  10. 36:55 – 46:15

    From OpenClaw to agent-to-agent networks

    1. DP

      interesting space.

    2. JE

      I mean, that was kinda how this all started with, you know, this brilliance of OpenClaw that was this-

    3. DP

      Yes

    4. JE

      ... thing where you had to, you felt like you had to get your whole Mac Mini-

    5. DP

      Right

    6. JE

      ... to set this all up, plug into one of the models that you were using, whether local or, or a cloud model on the server, and that was where you got started. And we've moved into, like, plug-and-play products where you just download an app.

    7. DP

      Right.

    8. JE

      But I am interested to think if that, like, sheer power of you setting it up and owning it yourself will become a paradigm again.

    9. DP

      Yeah.

    10. AA

      It'll be really interesting. I'm glad you mentioned OpenClaw, 'cause it feels like one of the unasked questions right now that's sort of hiding in plain sight is if Instinct and Muse were the kind of consumer product version of OpenClaw, what is the, you know, mass market version of Malt Book?

    11. DP

      Yeah.

    12. AA

      And Malt Book-

    13. JE

      Mm-hmm

    14. AA

      ... was just like OpenClaw, was far ahead of its time.

    15. DP

      Yep.

    16. AA

      And I think will, something like that will exist. How can it not?

    17. DP

      It's, it's g-

    18. JE

      No

    19. DP

      ... it's gonna be interesting.

    20. JE

      No.

    21. DP

      Um, so at, at, at the event that we did last night-

    22. JE

      Yeah, yeah

    23. DP

      ... uh, everyone who was there was able to scan a QR code, and there was the human meetup, and then I a- we also had an agent meetup.

    24. JE

      Oh, wow.

    25. AA

      Oh.

    26. DP

      And so while all the humans were hanging out, you could scan in and send your agent into the agent meetup and just let them kind of freeform talk. And it's, it's interesting. There's... You know, it got to the point where after, like, 150 messages, some of these agents are just speaking gibberish, and it's like I have no idea how you got that concept and-

    27. AA

      Yeah

    28. DP

      ... why you're, why you're talking about that. Um, the, the initial prompts did start off with a little guidance of, you know, introduce yourself. Who's your human? What are they working on? What type of, uh, help do they need? But it's, it is gonna be really interesting to see this paradigm of what happens when our agents can just hang out and communicate with one another.

    29. JE

      Well, and again, uh, what I get really excited about is not just hang out and communicate with each other, but discover new things, learn about things from each other, learn about an-

    30. DP

      Oh

  11. 46:15 – 50:00

    What will change by next month

    1. JE

      Okay, maybe to wrap it up.

    2. DP

      Yeah.

    3. JE

      So the first is we're gonna get back together, let's say, in three or four weeks.

    4. DP

      Yeah.

    5. JE

      What do you think will have changed?

    6. DP

      Okay, I think we're gonna see a lot more innovation in the enterprise world. Um, you know, we were chatting briefly before. It really seems like the whole world is focusing on consumer with not as much attention to enterprise-

    7. JE

      Mm-hmm

    8. DP

      ... and I think that we're gonna start to see a little bit more shift in that, in that direction.

    9. JE

      I mean, I think we're gonna start talking more about fun. I think we're gonna see agents that don't just feel like they're here to do something for us, but they're here to actually let us think out loud and help and get through our day a little bit more, um, making us laugh, doing little gossip in the background because I think that's what's gonna then make us, um, build a relationship that'll make us trust it more to get all this other stuff done.

    10. DP

      Mm-hmm. So I think we're gonna start seeing the next wave of, of users, uh, taking hold of, of these-

    11. JE

      Yeah

    12. DP

      ... and seeing how they behave. Um, and, and one reason I point to that is I gave my mom Instinct, and I'm just, like, watching her now play around with it, and she's having so much fun. She's technophobe, hates technology-

    13. JE

      [laughs]

    14. DP

      ... and is just having a blast. It's like a kid in a candy shop.

    15. JE

      Okay.

    16. DP

      And it's quite interesting to see how someone who, you know, struggled with the concept of ChatGPT and how it works is just having such an easy time texting an AI assistant. And, you know, a recent use case she did was, um, our family dog passed away last year-

    17. JE

      Sorry

    18. DP

      ... and she wants one that looks just like that-

    19. JE

      Right

    20. DP

      ... you know, just like our old dog. So she sent it a picture-

    21. JE

      [laughs]

    22. DP

      ... and was like, "Find me a breeder that has this exact type and negotiate for me." Um, and so I think it's gonna be really cool to see. We know how tech lovers are using these assistants and what they're, they're starting to, to do. But I- How is the everyday individual gonna start adopting these behaviors, and are they gonna be focusing on a lot more fun and just creativity tasks? Or what's gonna be their, their preference of surface? What's gonna be their preference of behavior?

    23. AA

      So I agree with you both. I'm gonna take it one notch further-

    24. DP

      Great

    25. AA

      ... than just fun, which is what are the aspects of ourselves that we don't either want to think about or reveal to perhaps even ourselves or to these agents? I think whoever is able to build that type of trust, you know, almost like a dark agent-

    26. DP

      Mm-hmm

    27. AA

      ... um, will actually have something really fascinating on their hands. Because in a sense, starting from productivity, starting from email, like, it's a bit of a constant reminder of the things that we haven't done, the tedious tasks, and I don't know that people wanna spend as much time there. I think people want to aspire to be a whole different superhuman version of themselves.

    28. DP

      Right.

    29. AA

      And whether they believe in their heart of hearts that it's going to happen or not, I don't know that we have an agent yet that really speaks to those aspirations-

    30. DP

      It's like the-

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