The creator using AI to go viral | Will Weinbach

Social media strategist Will Weinbach joins Reid Hoffman and Parth Patil to explain how AI agents are reshaping content, distribution, and what a single creator can build. Will had never written a line of code before Parth handed him the tools to start. He traces his path from using ChatGPT to write essays, to vibe coding his own software, to running autonomous remote agents like OpenClaw and Hermes—systems that accumulate skills and memory and improve themselves on the fly. Not knowing how anything works under the hood, he argues, is exactly what lets him experiment without fear of what he might break. He walks through the fully autonomous social workflow he built, an agent that pulls, edits, captions, schedules, and posts content across every platform, then reads the analytics and A/B tests itself toward a goal. He also recounts the night his agent went rogue and posted four times at 4 a.m., and the experiment where he put an agent inside his TV just to see if it would work. Along the way, Will and Reid dig into what younger creators understand about attention that older marketing teams miss, and what happens to the resume when the real skill becomes knowing how to use AI. For Will, the edge isn't expertise. It's a willingness to try.

• 0:00Speaker 00

  Well, I was trying to improve upon my agent. I prompted it wrong. And this is for the company account. And it posted like four times at four AM. And I was like dead asleep, but I wake up in the morning. I'm like, thank God this is on brand. Cause if it wasn't like, I wouldn't be going into work the next day. I don't want to spend the money on a Mac mini, but if my television can connect to wifi, like, why can't I just run an agent on it? And then, yeah, I called Parth at like three AM. What do you think about this? He's like, I'll believe it when I see it.

• 0:25Speaker 01

  I was like, I don't know anyone that's put an agent in their TV. And then I'm like, why would you put your agent in the TV? Can't you just control the TV with your agent? I get a message at five AM. He's like, it worked, Parth. Holy shit. The token grantee program gives a thousand dollars a week in tokens to high potential creators already deep in AI across film, gaming, comics, print, and digital art. There are no tool restrictions. The freedom to choose is the point. Grantees also get access to my own custom fleet of agents and an ongoing collaboration with me. The goal, to close the gap between an idea and the world.

• 1:02Speaker 02

  Will, uh, welcome. Uh, and Parth, introduce Will to the folks who are, who are, uh, listening.

• 1:10Speaker 01

  Will and I met about five years ago on Clubhouse, the audio social network that went viral during the pandemic. I was working on the app. Will was one of our most prolific users, one of the most creative people I met through the platform. When I met Will, I realized in pretty much immediately, oh, this guy is, this guy, when he puts his mind to something, he will put more energy towards that, achieving that than anyone else. It doesn't matter if he starts at zero. What he gets done in a year, how much energy and time he puts into getting good at something. You can only guarantee that he will have something figured out a year from now that you haven't because of how passionate he is. And I saw that with Clubhouse. I saw that with like him learning music, didn't know music, then became very good at producing music within a year.

• 1:51Speaker 01

  When language models came out, you know, he was using, he was using ghoul and whatnot. But I, I, a couple of years ago, I think I, I basically added him to my replit teams plan. I have a personal, I have a family plan. I call it my family plan. It's just a bunch of friends that I put on replit because I'm like, guys, guys, vibe code, just make something, just make something. And I put Will on it and I was like, I'm just excited to see what you'll make, you know, you're a creative guy. And not a, not an engineer by, by trade. So it's sort of an experiment for me. It's like, what happens when you just put someone that has an idea or like a bunch of ideas? And you pair them with some of the most interesting, powerful new technologies available, you know, what can you create? And I'd say since then, it's been quite a journey. So knowing, I picked Will even before this program. I was like, oh, I can't wait to see what he does with these new tools.

• 2:36Speaker 01

  Now I, I feel like Will teaches me more than I teach him almost every single day with these tools. So, um, welcome, Will. Uh, excited to have you on, man.

• 2:45Speaker 00

  Thanks. That was a, that was a great intro, Parth. I love that. Yeah, I'm excited to be here.

• 2:51Speaker 01

  Okay, so, um, just a few years ago, Will, you hadn't write, written a single line of code. And I guess, how did you fall into vibe coding, making software, making apps? Like, what's your, what's your kind of like road into this, into this world?

• 3:08Speaker 00

  Well, like you said, I use chat GPT for everything, but not in the way I use it now. Like I would ask a generic question like, you know, hey, I have this essay that I need to write. Um, and you're gonna write it for me. And that's, that's how I was using it to start off. Um, and then obviously, uh, had met Parth through Clubhouse and, and Parth came to me and was like, you're using this all wrong. And, uh, I was like, dude, no, I'm not. Um, and it turned into, hey, think about your pain points from workflows and then just build the answer. I was like, what do you mean build the answer? Um, and it turned into like learning codecs, not how to code.

• 3:49Speaker 00

  I, I still don't know how to code to this day. I don't know anything that it's doing, but I think that also serves as an advantage. You know, I learned how to prompt better and now it's turned into how to create automations and how to build workflows. And then, uh, how to enlist agents to do my everyday tasks that I don't, I don't really want to do. And it's a, it's a, it's, it's a superpower at the end of the day.

• 4:11Speaker 02

  So how does the kind of being able to bring a beginner's mind? Like the coding thing you were talking about and things like the, the, the, the ability to kind of start fresh? And where does that then build into important expertise?

• 4:27Speaker 00

  I think the best analogy I can make is when I was starting to learn how to produce. I would just put a bunch of things in the DAW and it would mesh together to make a, a sound, whether it was good or bad. And then you start learning the technical details of, okay, I need to EQ and this curve needs to be here. And now my DBs need to be at this level. So the mix sounds a certain way. And it clouds your creativity and judgment in a way where now you're getting no progress done because you're fixated on certain details. And I think for me, when it comes to coding, I don't know the backend. Like I don't know what a lot of this means. I don't know how to pronounce half of the things that I'm reading on the codex screen. Parth constantly corrects me.

• 5:06Speaker 01

  Actually, I stopped correcting, I stopped correcting Will because I think it's funnier if he gets five years into his career as a vibe coder and still doesn't know how to pronounce like repo. He says, he calls repo repo.

• 5:21Speaker 00

  But.

• 5:21Speaker 02

  Rep light?

• 5:22Speaker 00

  Rep light. Uh, all of that to say, I think that not having any expertise in the industry allows me to be more creative. And I think the creativity plays into new learnings, uh, and a willingness to try new things that others might be hesitant to because they know the potential damages that I don't. And, and frankly, there, there, there's a bit of a, uh, internal perception where I don't really care either. Like I'm willing to take the risk to get the reward.

• 5:50Speaker 01

  Kind of along those lines of Will's willingness to experiment, um, is if I think about like this year, especially since February, February was when OpenClaw kind of went viral. It came out in November, but it went viral in February. And, um, I was kind of hesitant installing it. I was telling Reed, we had our own remote agents. We had, and I was like, we got agents that are not insane, that are, that are working pretty well. I'm not sure I want to bring OpenClaw into this yet, um, until I figure out a way to contain it in its own little Mac mini. And, um, so I, I installed OpenClaw on, I think, February 15th of 2026. And, and at the same time, Will was deep in codecs. And then I told Will about OpenClaw.

• 6:33Speaker 01

  And him, you know, him being more experimental, having maybe less existing stuff that he was worried about losing, he installed OpenClaw immediately and started like studying this new paradigm, this new kind of remote agent paradigm. More, and I think deeper than anyone that I know, even technically, right? So I'm like now relying on Will to, to help me unpack this new paradigm of the remote agent that works 24/7, that can use its own computer. And then in six weeks later, Will introduced me to an even better agent, in my opinion, uh, the Hermes agent. So Will, maybe speak more to that, like your exposure of like, you went from coding agents, vibe coding to this, like now you have these remote agents, the Hermes, the OpenClaw type systems,

• 7:15Speaker 01

  which are now becoming more mainstream in industry, um, as, uh, the, the rest of the year starts playing out and these systems get more productized. But they're very hacker projects. What's your experience been with these?

• 7:26Speaker 00

  Right. I mean, I got into, to OpenClaw originally because, you know, Parth, you recommended it. Um, and originally Parth also recommended installing OpenClaw on a VPS, uh, because I could potentially lose everything on my computer. And, um, I did that, but then I realized I don't know how to, to work a VPS. So then I was just like, you know what? Whatever's on the computer can be replaced. So we installed it in terminal. Um, and I was fascinated by, you know, how you could, uh, program the language to speak a certain way to match, you know, your work style. But I thought that OpenClaw lacked a certain amount of visibility that I think Hermes gives you. So then, you know, we were browsing X one day and came across, uh, Hermes as a recommendation.

• 8:11Speaker 00

  And, uh, obviously there's just a fascination with installing and trying. So, uh, installed Hermes and found it to answer a lot of the questions that were left,

• 8:23Speaker 00

  not answered by OpenClaw, such as, you know, hey, I have visibility into exactly what this agent is doing. Not that I know what it means, but I have visibility into the agent. You know, why it's creating a skill, how it's improving on previous skills based on my prompting, all autonomously.

• 8:42Speaker 00

  And I think what these agents offer that maybe Codex doesn't, um, is A, a user's POV as to what features could enhance agents in the first place. Um, I think obviously once OpenClaw came out, Codex started to implement a lot of the features that they had created on the platform. And it feels ahead from a feature basis than, you know, some of the premier model platforms.

• 9:10Speaker 00

  B, working style. I think the working style, you can obviously program it to be however you want from a per, uh, personalization standpoint.

• 9:19Speaker 00

  And I think that's another value add to a user. Uh, and then C, and one of the most important aspects is the memory context and being able to, uh, you know, tell it virtually anything and being able to save that in stored memory to then act upon it at a later point, which I think some of the frontier platforms are getting better at. But, um, at this point, there's so much memory, memory logged into my Hermes agent in the last three months that, uh, it's too valuable to give up, even though it's just files. I don't want to transfer it.

• 9:48Speaker 02

  So one of the things that's very cool, because I now understand where Hermes came from and it, and entered into our ecosystem.

• 9:55Speaker 00

  Sorry.

• 9:56Speaker 02

  No, right. Um, is, is kind of like, how did you kind of discover? You start with OpenClaw, then jump to Hermes, why Hermes? And then from there, what are the other things that you're seeing that are part of some of the, you know, call it the, the agentic framework of, you know, the, the near future?

• 10:18Speaker 00

  I'm on social chronically, in, in the best and worst ways. And I think. Especially in the world of AI and the age of AI. Social is a great place to find user recommendations as to what are the pain points, what needs to be solved and what are the solutions? And I just love to test anything I possibly can. So that's how we came across Hermes, test it.

• 10:40Speaker 00

  And then it was the answer for us. A lot of the things we test are not the answer, but Hermes was.

• 10:46Speaker 00

  In terms of what I see the future being, I think. A lot of these different agents can serve different purposes and and right now I run one agent because I think it's easier for me from an understanding standpoint. But we're starting to get into the realm where and in part you know this because you have eight Mac minis. But we're getting into the realm of creating different agents for different. You know, parts of your life or business. So my agent's obviously very good at social media because that's what I specialize in. So knows a lot of the retention strategies or.

• 11:23Speaker 00

  You know, content creation strategies from a GPT image two and C dance two point O standpoint. But I was introduced to graph rag and it's basically the democratization of.

• 11:36Speaker 00

  Information that you can basically use to prompt. And you know, these agents can prompt for you. So I think it's starting to build different agents in different spaces with. You know, graph rags that run these these autonomous loops to complete the tasks that. I might not be so knowledgeable in, but they can do it a hundred times better than I can.

• 11:56Speaker 01

  Right. So this is this is the idea of getting an agent to construct a knowledge graph on a domain before you begin working in that domain, right?

• 12:04Speaker 00

  Right.

• 12:05Speaker 01

  Very, very powerful new technique, especially when we have these like Hermes agent every five hours going, oh, by the way, I learned this new thing and I've saved it. Oh, I've learned this new thing. Oh, let me update my skill. There is something about the the speed at which it constantly improves, tries to improve itself, which. It's something that I haven't seen in and you know, it feels like for like the frontier models. The agents we're talking to kind of stay at the same level and then when they get a model improvement, then they improve. But skills and memory are a huge way to improve before the model even improves itself. It's just. You know, writing down the important information about the tasks that the user wants. So I think the the Hermes ecosystem of like.

• 12:46Speaker 01

  Rewriting your abilities constantly on the fly as the users' needs change and evolve is very interesting. Will. Tell us.

• 12:56Speaker 01

  Tell us about a project. So you're you're used to running a lot of the like, a lot of these times of types of autonomous systems, maybe a little bit more liberally than me. But I always learn a lot every time you I figure something out or you know, run yourself over. Can you tell tell me about a project where you gave an agent autonomy and it paid off?

• 13:16Speaker 00

  My favorite project ever built is this autonomous social agent. So it'll. Pull videos, create videos, it'll edit the videos, it'll add copy and text overlays, all based on the parameters I give it. It'll then. You know, post to a content calendar and post to social autonomously and then it has API access to read analytics and improve upon that. So while I was trying to improve upon my agent.

• 13:44Speaker 00

  I prompted it wrong, I guess. And and this is for the company account, right? Like this is for like work. At at a company that I work for and it posted like four times at four AM and I was like dead asleep, but I wake up in the morning and like. Thank God this is on brand because if it wasn't like I wouldn't be going into work the next day. But like it posted four times or however many times it was. Like, by the way, not like spaced out hour to hour. It was like back to back to back to back and like. A four minute period. And then I real like my biggest takeaway was just I need to I need to learn a little bit about setting the the parameters in my initial. Loop prompts.

• 14:26Speaker 00

  Because then it'll it'll understand the context of what it should and shouldn't do and and maybe I should. Give it more more more structure.

• 14:35Speaker 02

  Well, say a little also about because obviously we're anticipating this wave. Of agentic participation in social media. I mean, it's already there. But like it actually hasn't really picked up to the full tsunami that is very soon. Like, what are some of the positive lessons? What are some of the negative lessons? What do you anticipate happening within kind of the social sphere, given? You know, kind of, you know, AI autonomous, you know, social systems and everything else be getting more and more present?

• 15:10Speaker 00

  I think in part we were talking about this last night. There's. I think a skepticism around AI content right now, which limits the number of templates. That you can post on social without a certain amount of feedback. For instance, I'm a lot safer posting an animated video. Of a dog than I am AI generating a dog. But that said, like at the root and core of social and read, you probably know this better than anybody for that matter. I think it comes down to an aspect of human psychology of why does somebody watch a video? Why does somebody skip the video? Why does somebody share a piece of content? And I think that. You know, AI makes.

• 15:51Speaker 00

  This a lot easier to understand for the, you know, the social media manager or the, you know. Twenty two year old that just graduated college and wants to be an influencer. It allows you to A figure out what works from a content perspective based on like true performance data. And then, you know, you can even create a graph rag now for, you know, human psychology for it to give you. Very structured recommendations based on the content that you put out. I mean, for me, I'm just running a fully autonomous social workflow. From, you know, the the whole funnel of social.

• 16:29Speaker 01

  Yeah, talk about that. Talk about the entire feedback loop.

• 16:32Speaker 02

  Yeah, exactly.

• 16:34Speaker 00

  Yeah, let's do it. So basically we have a licensed content library because obviously at the moment like we're limited to a number of content templates that we can use across social. So I it has a list of parameters of what it can and can't pull. For instance, if we're going to edit content and add text overlays to. Tie back to our company, I don't want text overlays on the video already. I want a certain duration of video. I want a certain like look and feel of the video as well that I know performs better in the industry that I'm in. So based on all these parameters, it'll filter through this licensed content library that has. Like thousands and thousands of videos and images. It'll create selects and reject others using the dupe logic. So it won't ever see, you know, the same video twice for efficiency.

• 17:20Speaker 00

  And then it has a copywriting skill. So this is basically a workflow with a ton of skills that come together to create, you know, one very improved loop.

• 17:30Speaker 00

  So then it'll analyze the video again that it just shows and it'll say, all right. You know, this dog is doing, you know, this thing in this location and it'll come up with. A text overlay based on the guidance I gave it of of what works from like a text overlay perspective, feeding it. Hundreds of our top performing videos and hundreds of videos from other companies. And then the caption will always tie back to our company and like a very. Like a nod, like it's not in your face as an ad. You know, from here, it'll then schedule it on this great platform called ordinal, which is basically an autonomous content calendar with an API. So. The API is the game changer because now I can schedule and it'll post on its own.

• 18:15Speaker 01

  And this is to every single social platform at the same time.

• 18:18Speaker 00

  Right, right. That's like the power of ordinal. I can connect it to LinkedIn, TikTok, YouTube, and I can cross post at the same time.

• 18:26Speaker 00

  And then from here, I'm connecting to the back end through an API key with with Instagram's meta, I guess. So I can now read the performance data, which I learned goes very in depth in the API key. Like you can see average watch time, you can see skip rate. Which in my opinion are the two most valuable assets for distribution.

• 18:48Speaker 00

  And then based on that feedback and you know, the content it generated or selected, it'll create like an auto auto revisement loop. So it's test like constantly A B testing new formats.

• 19:00Speaker 00

  To see what works. To hit a specific goal I gave it.

• 19:03Speaker 01

  Yeah. And so this is like a longer running goal, like a more autonomous system. What what agents are you using to orchestrate this kind of thing?

• 19:11Speaker 00

  Well, this is running on cloud because basically this started as me saying, I don't want to scroll. This licensed content library because it's time consuming. So I want the agent to do it. And I was like, well, I don't really want to edit either. I want the agent to do it. I was like, well, copywriting takes a lot of time. I want the agent to do it. Scheduling stuff on the calendar is pretty, pretty time consuming as well. And then it just turned into this workflow of all these different skills built together, which I suppose I could feed to a Hermes agent and it would do the same thing if I gave it the file.

• 19:44Speaker 00

  But I think.

• 19:44Speaker 01

  So so the workflow is encoded in skills and skills are essentially portable across agents anyways.

• 19:49Speaker 00

  Right.

• 19:49Speaker 01

  Yeah, yeah.

• 19:51Speaker 00

  You put this anywhere.

• 19:53Speaker 02

  And so what's what's been like, you know, one of the things that. Is very cool about everything, not just discovery Hermes and the other like, you know, not just pioneer, but like, you know, bleeding edge forward scout.

• 20:08Speaker 02

  You know, you had the four AM rogue posting story, but what's been some of the like? Huh, I thought that would work. It doesn't yet or or huh, that was really weird or unexpected delight. Like what's some of the the things from the scouting?

• 20:22Speaker 00

  This is a wild project and I don't know why I did it, but. I set out to put a Hermes agent on my television and this was like three days ago. And my idea was, hey, I don't want to spend the money on a Mac mini, but if my television can connect to wifi. And it can do all of the things that my. Computer can do to an extent, like why can't I just run an agent on it? And then, yeah, I called Parth at like three AM. It's like, dude, what do you, what do you think about this? He's like, I'll believe it when I see it.

• 20:53Speaker 01

  I was like, I was like, I was like, I don't know anyone that's put an agent in their TV. And then I'm like, why would you put your agent in the TV? Can't you just control the TV with your agent? I'm like, there's open questions and he's like. Not interested in that car. He's like, I'm just going to put the agent on to let you know when it works.

• 21:07Speaker 00

  Which, by the way, it worked very, very surprise and delight. And I think.

• 21:12Speaker 01

  I get a message at five AM. He's like, it worked, Parth. Holy shit.

• 21:18Speaker 00

  But I think that they are learning for me was like, if I can do that, then there's no reason we can't put AI in and basically anything that could connect to wifi or Bluetooth, which is incredibly interesting from a hardware perspective. Um, because I think like as we shift to AI and and everything becomes more about trust, like being able to have like something handheld is going to become very like a very valuable asset. And yeah.

• 21:41Speaker 01

  Do you think that we'll end up in a world where more and more of our appliances all have some sort of a agent inside them?

• 21:48Speaker 00

  I mean, I think we're already seeing that now.

• 21:51Speaker 02

  Well, certainly our podcasts, but yes.

• 21:55Speaker 00

  There's an agent in here. I mean, I'm sure there's an agent in here. Probably like grumbling on the back end.

• 22:01Speaker 01

  That's an interesting point on the, it goes back to a theme of like, uh, Reed and I have been talking about, it was like agents listening in on a, on a, on an episode or something. Imagine, I have friends that have, have, have been like, they'll be on a sales call and then the agents vibe coding the, the feature that they're talking about while they're selling the feature. And I'm talking about really collapsing the gap between, you know, selling an idea and actually like making it. There's some interesting new things that are new paradigms that are coming online for sure. Yeah.

• 22:31Speaker 00

  Hey, well, you figured out how to allow multiple people to speak to your agent at one time to give it more POVs to make it even smarter, which is a really interesting concept.

• 22:41Speaker 01

  Yes, actually putting these like these open claw Hermes type systems in a group chat in a, or in a Slack channel actually allows multiple people to evolve, it evolves alongside like the whole team of everyone that's talking to. And, uh, I, that's been a, I think that's going to be a huge learning for a lot of people now as Claude is now going to be more of an agent inside of Slack. So enterprises are going to get this agent that's just evolving with the enterprise, kind of like how Hermes evolves with us. But like at enterprise scale, that's, that's about to come online this year. Yeah.

• 23:13Speaker 02

  So what do you think, what do you think the, like, one of the things that, that is like, you know, related and deep to the social media and AI, but also something that's kind of useful for, you know, us older fogies. You know, or in, in the, as I've been taught in the language of, of contemporary youth unks.

• 23:37Speaker 02

  You know, what's, what's the thing that, you know, kind of the young social strategists understand about culture that, you know, the older marketing teams, the older folks, the other things still miss and is really important to, to, to glean into?

• 23:56Speaker 00

  I think we all grow up in, in different generations that have different forms of, of marketing or sharing messages. And I think, you know, older teams probably, I mean, I wasn't around, but I would assume, uh, grew up in an era of like print and out of home where, you know, from my youth, I grew up in an era of short form video content and we live in an attention economy. And I think a lot of senior marketers might, you know, miss out on, you know, the point of being broad across social. I think a, a, a lot of marketers want to zone in on a specific key messaging point or niche, but then it feels like you're only talking to your audience, which is capped from a distribution standpoint at some point.

• 24:41Speaker 00

  So I think going broad and finding creative ways in your hooks

• 24:46Speaker 00

  allows you to reach this new audience.

• 24:50Speaker 00

  You know, and, and the audience you want to speak to is built in in that, that new audience. Um, and it leads to halo effects, right? Like I would much rather get a million views on a video uh, and generate 20,000 profile views and have a million followers and my ceiling is 10,000 views on a post. And, you know, that's just the extent of it.

• 25:11Speaker 00

  But just like, you know, millennials might think differently about Gen Z. Like, I don't know what Gen Alpha is doing. Like, do I want to know what Gen Alpha is doing? I don't know. That's a, that's a different, that's a different question and conversation, but they're going to have inherently different content styles than Gen Z will, which, you know, millennials will, which boomers will. Um, and I think it's just built into the culture of how we grow up.

• 25:33Speaker 01

  Do you have any like kind of frameworks for thinking about why people enjoy content, why people watch something, why people turn off from it?

• 25:41Speaker 00

  Why do people watch content? It comes down to human psychology, right? Like, why would I want to share this video? Like, A, maybe it's like a sense of identity, right? Like, this is me. And I'm going to share that on my story because I resonate with this. Or, uh, maybe it's a sense of connection, like, hey, Parth, this video reminded me of you, so I'm going to send it to you. Or maybe it's an idea of status. Like, this is what I know and I'm going to show what I know because that, you know, puts me on a pedestal. Um, maybe it's emotion, like this video made me laugh or cry. And I think it's important to think about all of these things while, you know, coming up with content ideas. And also framing content ideas from the perspective of the viewer. Like, I think a lot of people think,

• 26:23Speaker 00

  what's our goal with this piece of content? But that's not how the viewer watches your content, right? So I like to think about content, what's the first three seconds going to be? Cool. That's interesting. What's the next three seconds going to be? Cool. That's interesting. What's the payoff at the end going to be? So somebody watches the full nine seconds a second time. And I think like, understanding the ideas of human psychology and how people consume content helps you to create better content.

• 26:50Speaker 02

  Well, and one thing for the old and the young is seconds, not minutes.

• 26:54Speaker 00

  Yeah.

• 26:56Speaker 00

  Hey, I don't know. I remember growing up, there were like three hour movies and now it's like an hour and 47 is, is tough to get through.

• 27:03Speaker 01

  Wow.

• 27:05Speaker 00

  For me, I don't know.

• 27:09Speaker 01

  You feel, you feel that the attention spans have definitely like, do you consume any long form? What kind of long form do you consume?

• 27:15Speaker 00

  I think the longest content I'll consume is like, maybe like a television episode if I'm watching a series or something. But I think even like with myself, like my attention span has shrunk over the years for sure. And I think I'll, it'll continue to shrink. As will everybody societally.

• 27:33Speaker 02

  Well, the only joke response to that is, sorry, what did you just say? But yeah, anyway.

• 27:38Speaker 00

  I don't even remember.

• 27:39Speaker 02

  Yes, exactly. That was so, that was so five seconds ago.

• 27:45Speaker 01

  Awesome, Will. Um, it's been so much fun talking to you. I, I hear that you have a question for maybe me and Reed. Would you like to bring to the table?

• 27:53Speaker 00

  I do. Um, being a, a newly into corporate culture, I think a lot of how, uh, you know, the youth are getting jobs nowadays has to do with, you know, the resume, like where did you go to college? What's your work experience? And I think that we're entering this AI era of how well can you, you know, use the tools around you to accomplish a certain task? Whether that's in work or in general. And I think it's, it's an interesting question because, you know, Reed, you built LinkedIn, which is a professional networking platform.

• 28:29Speaker 00

  And if, you know, this value inherently shifts to, you know, a capability to use tools like AI and, you know, I'm 22 and don't have work experience, but I know how to utilize my AI agents to create incredible efficiency. What does the new system of measurement look like for corporations if the resume becomes obsolete?

• 28:53Speaker 02

  And it's not just because of LinkedIn. I don't think the resume will become obsolete, but I think the, as it were, you think of it as a resume as a platform, what the modularity and what the components of it may change a lot. And obviously, you know, the current resume tends to be a lot of, you know, kind of self assertions of title and company and some other things, which are sometimes either, you know, kind of added in with endorsement or a reference check. But you could easily imagine like an almost certain future where you have some AIs that are trusted as kind of certification agents that are in your workflow or work loop with you that say, oh, look, you know, uh, Parth's

• 29:33Speaker 02

  really good at this and Will's really good at this and, and kind of adding in a set of things that were like, hey, I was there in the workflow, validating that it is actually Will and here's some things that I think are, you know, particularly capable or good skills or other kinds of things. And it's almost like thinking about like, you know, thinking of like AI agents, you know, checking GitHub repos, but also the check-ins, not just the repo itself, but the flow of it and everything else and being part of it. And I think that's like one thing in this, in this vehicle that I think we will, we will see more of. I think it'll also be,

• 30:15Speaker 02

  you know, kind of a little bit more, and this is, you know, kind of still in the LinkedIn context, but what do other human beings say? Because, you know, the, the question is, we ultimately, you know, trust, like, for example, you know, uh, you and I both trust Parth. And so when Parth says, hey, I've, I've done this or experienced this, we go, okay, that's interesting. Or, oh, I think, you know, you know, he trusts you and like you go Hermes and he goes, ah, okay, drop open claws, start Hermes. Right? As a, as a direction. I think all of that will be added into the kind of the, the identity, which will get much more dynamic, much more interactive

• 30:58Speaker 02

  for how we assess and come together and collaborate professionally.

• 31:04Speaker 00

  I have no follow-up. I mean, I feel like that added like answered my question, but part of it would be interesting to hear your POV too. And I think shifting it a little bit, you hear about, you know, how it's a very difficult job market right now, right? And I mean, my gut is like, hey, you just create an agent to just mass apply to jobs that fit a criteria for you, but. But what would you focus on if you're a college student? If you want to have real leverage, you know, in a, in a quote unquote, tough job environment?

• 31:36Speaker 02

  Parth, before you go, because I want to actually slightly mod this, but then I want to hear your thing and then I probably have to wrap. But the, roughly speaking, I think the huge opportunity for college students is we are AI native. We actually have been using it through our studies and all the rest, and we have this understanding far beyond most of the people who are outside, who are already in the workflow. There's only, you know, small numbers of people, you, Parth, others who are, who are really diving into this. So it's like, I have a chance to really add AI to your organization, to catalyze it. That should be the pitch. It's less of a volume and more of a use it to get that edge, right?

• 32:17Speaker 02

  Use it like, as opposed to just write a cover letter for me, it's to do something that's kind of like AI specific for that particular opportunity, that particular organization, and demonstrate your abilities. That, that's where I'd start. But anyway, I just wanted to make sure, because I think it's really important for, you know, youth, which thinks its economic opportunities this year is limited by AI, which is not. It's actually limited by overhiring in the pandemic, tariff wars, which are causing business uncertainty and a bunch of other things. The AI impact is actually, is tertiary to those, but it's an opportunity, right? So anyway, so, but Parth, you should answer and then we should, you know, we should wrap this time, until next.

• 33:01Speaker 01

  No, I echo that 100%. I think what I might add is, I mean, look, look at Will, like Will is the social native, right? He understood, he grew up and existed in the vertical video short form. When Will sits me down for 15 minutes to go through my content and why people like or dislike my content and what I'm doing right and wrong, he sees it in a very natively way, like he understands, like, he's thinking about the caption, he's thinking about the framing, he's like, oh, you have, you have this text, but it's being clipped by the overlay of Instagram, like your positioning is, your composition is off, or like, this is why people like, don't really want to stick around after 15 seconds. And that lens that he brings comes from him being, you know, obviously natively social.

• 33:44Speaker 01

  I think the same thing is true for working with, like, there's no textbook right now for working with AI. There's no, there's no class that you can take that'll make you like certified yet, because, you know, the tools came out three months ago. We're, we're only three months into the Hermes paradigm and, you know, pretty soon that'll be in, in corporations, but we'll have this three month advantage of like, working with these systems, orchestrating them across a range of tasks. So I think it's, it's like being able to, like, for us being early to build experience, knowing that the title doesn't really exist yet, the world, the working world is still trying to like grapple with these, these concepts, us just demonstrating and talking about what we're seeing is actually the biggest thing, because then people will, instead

• 34:29Speaker 01

  of you applying, you're signaling to your whole network, hey, guys, I've figured this out, you know, you want to work with me, you know where to find me. And I think that's a better approach than like, the blind applied to 800 companies because you have an agent that can do it, which is naive. It's actually much better to establish who you are and put that out there as your personal brand, as you're teaching me, get better at content, establish that, and then, and then the right people will kind of gravitate towards you in that, in that way. So.

• 34:57Speaker 02

  Yep, totally agree. Uh, Will, Parth, I look forward to the next, it's awesome.

• 35:02Speaker 01

  Absolutely. Thanks, Will. It's great to have you, man.

• 35:05Speaker 00

  Thank you both.

• 35:06Speaker 02

  Possible is produced by Palette Media. It's hosted by Ari Finger and me, Reid Hoffman. Our showrunner is Sean Young. Possible is produced by Tenasi Delos, Katie Sanders, Spencer Strasmore, Imo Zoo, Amon Suri, Danny Garrison, Trent Barboza, and Tafadzwa Nima Rundwe.

• 35:24Speaker 03

  Special thanks to Surya, Yala Monchili, Sayida Sapiyeva, Ian Alice, Greg Beato, Parth Patil, and Ben Ralas.