Podcasts about Gump

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

[School of Movies 2026] The 1994 film that ate The Shawshank Redemption's lunch, dinner, supper, breakfast and second-breakfast at the Oscars. A deeply polarising melodrama recounting several decades of American Boomer history, showcasing cutting-edge face-mapping technology that looked unintentionally unsettling even then, and laying down confused messages along the way. We attempt to read Gump fairly, consulting the direction the source book took, and taking into consideration Robert Zemekis' own views on the world, in particular focusing on the mostly-glimpsed journey of Forrest's running mate, Jenny.

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The Alan Cox Show

What happens when the universe rewards a leap of faith? In this episode, we sit down with Scott Devenport, whose journey from quitting smoking to conquering 200-mile peaks is a testament to the transformative power of the trails. Scott doesn't just run; he lives it—maintaining a legendary "run streak" of at least 5km every single day. Episode Highlights: - The Evolution: How Scott traded cigarettes for sneakers, evolving from road racing to becoming an elite ultra-marathon champion. - The Mental Game: Discovering the profound "mental peace" found only in the wild, rugged backcountry. - The SOO 200 Magic: A raw look at a grueling 200-mile odyssey. Scott and our host John Shep recount navigating hallucinations and brutal terrain—an experience where Scott's character and community spirit shone brightest. - The Universal Shift: How being a "good human" in the depths of a race invited the universe to open new doors, leading to a total life reset: a new home, a new path, and a dream career with Sinister Sports. Whether you're an everyday runner or a mountain veteran, Scott's story proves that when you give your best to the trails, the universe has a way of giving it all back. Listen now and witness how one race can change a life forever. Learn more about Scott at: https://www.instagram.com/thegumprunner/ Register to be an Athletics Ontario member: https://athleticsreg.ca/#!/memberships/athletics-canada-road-trail-membership Check out Hammer Nutrition Canada (and use our special discount code AORP15 at checkout): https://hammernutrition.ca/

Oi, bellend, if you liked the pod give us a rating, a review, send us some love. Harrow! Up Ski Sunday, Aba Daba Doo, and Hakuna Matata, mother fuckers and bah! humbug! from Osvaldo hook hands Clarke Lewis shirt-cocking a canal race tee as we launch into the festive period like runfluencers posting about finding it's too hot in Valencia. Since last time out Baz has turned into the Laird of the manor, flat cap, tweed waistcoat and paisley cravat, John has upgraded his phone to a Nokia 8210, and I am a whim away from singing The Lion Sleeps Tonight and using the Family Fortunes XX noise to count the Guinness World records of Hull Boy, that mad NZ lawyer and the ginger attention seeker. In this episode we plan 2026 including Baz's first 100K on turmeric, reflect on a slow as Same Head United 2025 and play a game of Juicing Kenyans. The fan favourite Facebook Parkrun Tourism group returns and is just as dumb as ever, the Kazoos of Keith and Kyla perform a sporting medley, and there is a HUGE sweaty fact hunt to take us into the cheeriest of Christmas songs to close with.  Happy Kwanza, chag hannukah sameach, fucking Gump and Merry Christmas from us and Mr Kock.

For decades Western policymakers have struggled to understand the mindset of the Russian people and their leaders. This episode of The Transatlantic brings together two Russia experts who provide unique perspectives into the challenges American leaders often face when negotiating with Russian officials. Join James Collins, former Ambassador to Russia, and Wayne Merry, the officer in Embassy Moscow who authored a 1993 dissent cable predicting the adversarial turn of post-Soviet Russia, for a wide-ranging conversation about their combined decades inside Russia, a look inside the Vladimir Putin's world, and their thoughts on what will determine the future of Russia. -- Read E. Wayne Merry's Dissent Cable here: https://nsarchive.gwu.edu/document/32704-document-1-wayne-merry-dissent-channel-cable-american-embassy-moscow -- Ambassador James F. Collins is an expert on the former Soviet Union, its successor states, and the Middle East. Ambassador Collins was the U.S. ambassador to the Russian Federation from 1997 to 2001. Prior to joining the Carnegie Endowment, he served as senior adviser at the public law and policy practice group Akin, Gump, Strauss, Hauer & Feld, LLP. Before his appointment as Ambassador to Russia, he served as Ambassador-at-Large and Special Adviser to the Secretary of State for the newly independent states in the mid-1990s and as Deputy Chief of Mission and Chargé d'affaires at the U.S. embassy in Moscow from 1990 to 1993. In addition to three diplomatic postings in Moscow, he held positions at the U.S. embassy in Amman, Jordan, and the consulate general in Izmir, Turkey. He is the recipient of the Secretary of State's Award for Distinguished Service; the Department of State's Distinguished Honor Award; the Secretary of State's Award for Career Achievement; the Department of Defense Medal for Distinguished Public Service; and the NASA Medal for Distinguished Service. Before joining the State Department, Ambassador Collins taught Russian and European history, American government, and economics at the U.S. Naval Academy. -- E. Wayne Merry is Senior Fellow for Europe and Eurasia at the American Foreign Policy Council in Washington, DC. He is widely published and a frequent speaker on topics relating to Russia, Central Asia and the Caucasus, the Balkans, European security and trans-Atlantic relations. In twenty-six years in the United States Foreign Service, he worked as a diplomat and political analyst specializing in Soviet and post-Soviet political issues, including six years at the American Embassy in Moscow, where he was in charge of political analysis on the breakup of the Soviet Union and the early years of post-Soviet Russia. He also served at the embassies in Tunis, East Berlin, and Athens and at the US Mission to the United Nations in New York. In Washington he served in the Treasury, State, and Defense Departments. In the Pentagon he served as the Regional Director for Russia, Ukraine and Eurasia during the mid-nineties. He also served at the Headquarters of the US Marine Corps and on Capitol Hill with the staff of the US Commission for Security and Cooperation in Europe. He was later a program director at the Atlantic Council of the United States

This week, we're following the yellow brick road straight into an Oz double feature—Wicked: For Good and Return to Oz. Two films, decades apart, both proving that no matter how far you wander, you can't escape those ruby-slippered roots. To keep our courage up, we crack open two high-octane potions from Lagunitas: the Maximus Colossal IPA and the Shugga Original Recipe—big, bold brews with enough ABV to make even the Cowardly Lion roar. Let's just say there's no place like foam. Joining us is returning guest Adam Beam, who chatted with us about the original Wicked: Part One. He's back to help us untangle this Emerald-City-sized tapestry of witches, Wheelers, wizardry, claymation fever dreams, and questionable Kansas parenting. We ease on down the cinematic road, talk sequels that aren't really sequels, prequels that might be sequels, and why Return to Oz still feels like the dark and stormy night Dorothy really needed a therapist for. If you're into green girls, Gump gliders, and stories stitched together with a whole lot of heart, this episode is over the rainbow and then some. Grab a Maximus, click those heels, and join us—because this week, it's Oz or nothing.

Hollywood-håndværkeren Robert Zemeckis skabte i 1994 feel-good-filmen over dem alle. Forrest Gump var igennem flere manus-faser før den endelig tog form og fik liv gennem et unikt filmisk setup i Beaufort i South Carolina og med en Tom Hanks i sit livs skuespilsmæssige storform. Med state of the art green screen CGI-effekter følger vi den kognitivt udfordrede, charmerende og skønt naive Gump blive amerikansk fodboldstjerne, gå i krig i Vietnam, vinde olympisk bordtennis-guld, blive rig på rejefiskeri og meget, meget mere. Forrest Gump er en rigtig 90'er straight forward film med alt, hvad dertil hører af voice over, tydelig fammefortælling og med en skuespilsstjerne i centrum. Men spørgsmålet er, om den stadig holder i dag over 30 år efter sin premiere. Er den stadig et rørende stor-epos eller er den lige naiv nok?

Visit prizepicks.com/BELLY and use code BELLY and get $50 in lineups when you play your first $5 lineup! Earn points on rent and around your neighborhood, wherever you call home, by going to joinbilt.com/belly For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit www.hims.com/belly

Step back onto the frozen soil of Hinterkaifeck, where a killer didn't just murder a family, he moved in. In Part 2, we rewind the scene one last time, then push deeper: the footsteps that came from the woods and never went back, the attic noises, the missing keys… and a methodical slaughter carried out in silence. We follow the town's favorite suspect, Lorenz Schlittenbauer, and then widen the circle. Karl Gabriel the “dead” husband, the Gump brothers, the Thalers, and the transatlantic boogeyman Paul Mueller. Autopsies in the barnyard, chores done by the killer, warm ashes in the hearth. This is the part where folklore swallows fact and the case refuses to die. Citizens of the Milky Way, prepare yourselves for The Shadow Over Hinterkaifeck: Part Two! 

Today's episode features guest host Michael Upshall (guest editor, Charleston Briefings) who talks with Steve Gump, Author and Associate Director, Fellowships, University of Virginia. Steve is author of the recently published How to Review Scholarly Books (Princeton University Press). In addition to working as a fellowship advisor at University of Virginia, he has also worked as a book review editor for the Journal of Scholarly Publishing since 2024, where he solicits, develops, and publishes scholarly book reviews. He talks about the benefits of building a network through reviewing, working with reviewers in other countries, and what authors of scholarly books really want. Social Media: LinkedIn: https://www.linkedin.com/in/mupshall/ https://www.linkedin.com/in/steve-gump/ Keywords: #BookReview #BookReviewEditor #PeerReview #ScholarlyReview #AcademicWriting, #AcademicNetworking, #ScholarlyWriting, #PublishingAdvice #GlobalAcademia #career #collaboration #scholcomm #ScholarlyCommunication #libraries #librarianship #LibraryNeeds #LibraryLove #ScholarlyPublishing #AcademicPublishing #publishing #LibrariesAndPublishers #podcasts

Animorphs Survivor 3 Kids Vs. Grow-ups (I'm not writing Grownies) comes to an exciting end! Will Cassie make it to the merge? Will the mighty tyrant Gump burn all his bridges? I don't know! Quit asking me and listen to the episode!!Support the showSupport us on Patreon: https://www.patreon.com/anidorks@anidorkspod on twitter! Send questions to anidorkspod@gmail.comHey! For real though: Leave us a 5 star review and we'll read it on the air! New episodes every Wednesday!!!

This week on Survivor!! Ummm... something clever hmmmm Yeah yeah Eddy would write something clever here... like: On Anidorks Survivor Season 3 it's Kids vs. Adults. Will the kids optimism and penchant for death give them the edge or will Minivan Chapman mow them all down? Find out on this weeks episode of... Survivor!Yeah yeah. Eddy will like that.Support the showSupport us on Patreon: https://www.patreon.com/anidorks@anidorkspod on twitter! Send questions to anidorkspod@gmail.comHey! For real though: Leave us a 5 star review and we'll read it on the air! New episodes every Wednesday!!!

The Artist pays his respects to Ozzy by using Ai imagery of him with other dead musicians. Your Huckleberry takes erbody to Rock School to learn about The Devil's Interval. Charles Bronson makes an appearance and Mex breaks out of his Gump braces on the golf course.

This week I am excited to introduce you to Owner Operator DK Kang! DK is the Operator of Chick-fil-A 7th Street (DC) In-Line in Chinatown, Washington D.C. DK compares himself to Forrest Gump, and that seems to be accurate as he's done everything from making sandwiches to professional sports to serving our country in various ways. You won't want to miss hearing his wild journey to becoming a Chick-fil-A Operator, and all the stops in between! Learn more about Cooper Connect, here: www.CooperConnect.co Cooper Connect is an independent entity and is not affiliated with, associated with, authorized by, or endorsed by Chick-fil-A, Inc. or its subsidiaries and affiliates. The name Chick-fil-A, Inc., along with its related names, trademarks, logos, and images, are the registered property of their respective owner. For official information about Chick-fil-A, Inc., please visit their website at https://chick-fil-a.com.

On this Episode of No Brains No Headache Podcast the guys are in studio to discuss:Haunted housesForrest Gump's momHome sweet homeMotley CrueMrs. GumpOver using condiments Minneapolis tripClassic Childhood PranksJoey Chestnut and his eating recordsBackyard Baseball is back!Forrest Gump's mom's commitment to his educationAdult Chuck E CheeseHe's on vacationThank you for listening!Follow No Brains No Headache on social media and make sure to follow, rate, and review wherever you get your podcasts. Apple Podcasts. Subscribe + rate + review.Spotify. Follow along.iHeartRadio. Or wherever you listen to your favorite shows.New episode every Tuesday!Twitter. https://twitter.com/nbnhpodcastInstagram. https://www.instagram.com/nobrains_noheadache/Facebook. https://www.facebook.com/nbnhpodcastYouTube https://www.youtube.com/channel/UCQbXoHzYhhDigOaNXVYdK3gTik Tok. @NBNHPodcast

Which Chocolate covered Turtles are best?  As Mr. Gump points out, when you buy a box of chocolate, you don't know everything that will be inside.  This week we will sample one common offering that I would expect to see from three popular chocolate brands, so at least you will know which box has the best quality.  This weeks contenders are Demets  (Turtle), Fannie Mae, and Russell Stover.  Please like and subscribe and if you have any suggestions, let us know by tweeting us @tastetestdummies or email us at nickandjohnpodcast@gmail.com.      SPOILER!  Below is a list of which candy corresponds to which numbered plate it was on: 1. Russell Stover 2. Demets  3. Fannie Mae

In this episode of The Industrialist, host Jeremy Mercer sits down with Allen Gump, Executive Vice President at Colliers in North Texas. With four decades of experience under his belt, Allen shares his journey through the evolving DFW industrial landscape, how he built a reputation of trust and expertise, and the lessons he's learned representing some of the biggest names in logistics and transportation.From lease negotiations to build-to-suit strategies, Allen shares how he has thrived in one of the nation's most competitive markets — and why mentoring the next generation of brokers is one of his greatest passions.

Louis Gump is a business builder, transformational leader, and pragmatic optimist. He has served as a senior executive within large corporations, as CEO of smaller companies, and in industry leadership roles. He has worked with talented teams and achieved remarkable success for technology-driven growth businesses within companies including The Weather Channel and CNN, where he […]

Louis Gump is a business builder, transformational leader, and pragmatic optimist. He has served as a senior executive within large corporations, as CEO of smaller companies, and in industry leadership roles. He has worked with talented teams and achieved remarkable success for technology-driven growth businesses within companies including The Weather Channel and CNN, where he […] The post Louis Gump With Cambian Solutions appeared first on Business RadioX ®.

The finale of "Lee Benches Gump": A three-part series where Spro & Lee go back thirty years to relitigate the merit of Forrest Gump, Robert Zemeckis, and Tom Hanks.  In this episode, the Best Picture Oscar of 1995 is on the block. Kyle Bruehl from "I Know Movies and You Don't" guests.

In this Album Dive episode, I'm joined by Chris Ballew of The Presidents of The United States of America as we celebrate the 30th anniversary of the band's self-titled debut—an album that helped define what ‘90s alternative rock felt like. Chris and I get into everything: his run performing with Beck's live band, the origins (and wonderfully weird design) of the basitar and guitbass, and how the Presidents carved out their own lane as “the alternative to the alternative.”We dig into the stories behind the hits—“Lump,” “Kitty,” “Feather Pluckin',” “Peaches”—and the unexpected chain of events that led to Weird Al Yankovic's parody “Gump.” Chris also shares why Wayne Kramer of MC5 initially shut down their “Kick Out the Jams” cover, how their version of “Video Killed the Radio Star” came to be, and the wild nu-metal detour that was Subset, his project with Sir Mix-A-Lot. And of course, we talk about his solo adventures, from Casper Babypants to the twice-a-year solo albums he continues to release.From behind-the-scenes moments to genuine musical innovation, this episode is packed with the stories and spirit that made The Presidents so memorable. If you love ‘90s alt-rock, deep cuts, or just a great origin story, you're in for a good one.

In this Album Dive episode, I'm joined by Chris Ballew of The Presidents of The United States of America to celebrate the 30th anniversary of the band's self-titled debut album. We take a deep dive into the history, impact, and unforgettable tracks that made this record a defining moment in ‘90s alternative rock. Tune in as we explore: - Chris Ballew's time performing with Beck's live band - The origins and quirky design of the “basitar” and “guitbass” - How the band became the “alternative to the alternative” - The stories behind hit songs like “Lump”, “Kitty”, “Feather Pluckin'”, and “Peaches” - The tale behind Weird Al Yankovic's “Gump” parody - Why Wayne Kramer of MC5 initially denied their “Kick Out the Jams” cover - Their cover of The Buggles' “Video Killed the Radio Star” - The nu-metal side project Subset with Sir Mix-A-Lot - Chris' solo projects including Casper Babypants and his biannual solo album releases From behind-the-scenes stories to musical innovation, this episode is a must-listen for fans of ‘90s alt-rock, deep cuts, and (of course!) The Presidents. Be sure to visit MyWeeklyMixtape.com to hear all of the songs we discussed in this episode!  Theme music is "Unveiled" by The 4th. You can find the album on Spotify, Apple Music, Amazon Music, Pandora, YouTube, Bandcamp & more! FOR MORE ON MY WEEKLY MIXTAPE Website: http://www.myweeklymixtape.com Patreon: https://www.patreon.com/myweeklymixtape Facebook: http://www.facebook.com/myweeklymixtape X: https://x.com/myweeklymixtape Instagram: https://www.instagram.com/myweeklymixtape Threads: https://www.threads.net/@myweeklymixtape  Blusky: https://bsky.app/profile/myweeklymixtape.bsky.social  TikTok: https://www.tiktok.com/@myweeklymixtape Learn more about your ad choices. Visit megaphone.fm/adchoices

Part II of "Lee Benches Gump": A three-part series where Spro & Lee go back thirty years to relitigate the merit of Forrest Gump, Robert Zemeckis, and Tom Hanks.  In this episode, Laurence joins the conversation about director Robert Zemeckis and his ill-gotten Oscar of 1995. 

Teacher steps on student… Teenage marriage banned in DC… LA is slow issuing building permits… Email: ChewingTheFat@theblaze.com Titanic movie recap... Gump movie thoughts… Sundance moving to Colorado… Dollar Tree selling Family Dollar… Hooters family family-friendly… The Cheesecake Factory makes changes… Taco Bell new product… Who Died Today: Clive Revill 94 /Matt Stevens 51 / L.J. Smith 66... Submarine disaster off Egypt's Red Sea Coast… King Charles has a brief hospital stay… Danielson, one more year at CBS sports…ESPN moving LA studios… Jim Nantz gives retirement date... www.blazetv.com/jeffy Promo code Jeffy…Game Show: What's The Lie? Contestant: Richard Gagne… Learn more about your ad choices. Visit megaphone.fm/adchoices

Pull up a park bench at a bus stop cause we're talking about a true 20th century American classic, “Forrest Gump”! Despite its comedic quotability and punchline of a lead character, it taught millennials with cable in the 90s so much about Vietnam, drugs, dad rock, and just about every way you can have shrimp. Gary Sinise's Lt. Dan is everything you want from a Best Supporting Actor, Jenny's journey is a whole other movie, and Mrs. Gump sure does care about her son's education. Also Tom Hanks completely earned that second Oscar as Forrest, and that's all we have to say about that. Join us for The Best Supporting Aftershow and early access to main episodes on Patreon: www.patreon.com/bsapod Email: thebsapod@gmail.com Instagram: @bsapod Colin Drucker - Instagram: @colindrucker_ Nick Kochanov - Instagram: @nickkochanov

In this hilarious and insightful episode of Wise_N_Nerdy, Charles, Joe, and Kurt are joined once again by the one and only Stoner Gump! The show kicks off with the Question of the Week: Cake or Pie? Listeners chime in with their answers before the hosts weigh in on the ultimate dessert debate—while cake has its merits, pie is the clear champion this time around!With a roll of the dice, the crew launches into What Are You Nerding Out About? Charles is pumped about using StreamLabs for the show's live streaming, while Stoner Gump shares his excitement over setting up a new gaming rig for his wife, allowing them to play more together. Joe celebrates finishing The Wheel of Time and dives into a discussion with Stoner Gump about its brilliance. Meanwhile, Kurt revisits The Incident and remains completely captivated by it.Next up, in How Do I…?, the hosts tackle an important parenting topic: teaching kids how to build strong relationships by developing confidence in themselves. Their insights make for a valuable and meaningful conversation for parents navigating this challenge.Then, it's time for Daddy, Tell Me A Story, where the hosts share their awkward (or nonexistent) senior prom experiences—expect plenty of laughs and secondhand embarrassment!The episode continues with some entertaining speakpipes from Devocite and CaseyJay, adding an extra dose of fun before the dice roll us into Parliament of Papas, where the dads debate different strategies for giving kids an allowance. Should it be earned through chores, given as a learning tool, or handled in another way? The discussion gets lively as each host shares their perspective.Finally, the episode wraps up with a batch of Bad Dad Jokes courtesy of Devocite, bringing the laughs to a close in true Wise_N_Nerdy fashion.So, grab a slice of pie (or cake, if that's your thing) and Find your FAMdom with us in this fantastic episode of Wise_N_Nerdy: Where Fatherhood Meets Fandom!

Carissa Gordon Gump is the Executive Director of the NSCA Foundation. She has previously worked for the U.S. Olympic and Paralympic Committee and USA Weightlifting, serving as their Associate Executive Director for Business & Development, as well as the USA Weightlifting Foundation Executive Director.Gump is a 2008 Olympian in the sport of weightlifting, an American Record holder, National Champion, Pan American Champion, All-American, World Team member and USA Weightlifting & New England Weightlifting Hall of Fame member.In this episode I speak with her about the pressure competing on the national stage. We dive into how this pressure can make people perform and others crack. We also talk about life after the Olympics and finding your next calling.___From our sponsors:TeamBuildr

Part I of "Lee Benches Gump": A three-part series where Spro & Lee go back thirty years to relitigate the merit of Forrest Gump, Robert Zemeckis, and Tom Hanks.  In this episode, Lee sets his sights on Tom Hanks' Best Actor Oscar. 

Chris Ballew (The Presidents of the United States of America, Casper Babypants) is our first guest of 2025 to talk all about his new solo album Truth and Dare as well as the first PUSA record which turns 30 this yearCHRIS BALLEWhttps://chrisballew.orghttps://chrisballew.bandcamp.comhttps://www.instagram.com/chrisballewhttps://www.instagram.com/pusabandPCHInstagram - www.instagram.com/powerchordhourTwitter - www.twitter.com/powerchordhourFacebook - www.facebook.com/powerchordhourYoutube - www.youtube.com/channel/UC6jTfzjB3-mzmWM-51c8LggSpotify Episode Playlists - https://open.spotify.com/user/kzavhk5ghelpnthfby9o41gnr?si=4WvOdgAmSsKoswf_HTh_MgDonate to help show costs -https://www.paypal.com/paypalme/pchanthonyhttps://cash.app/$anthmerchpowerchordhour@gmail.comCheck out the Power Chord Hour radio show every Friday night at 8 to 11 est/Tuesday Midnight to 3 est on 107.9 WRFA in Jamestown, NY. Stream the station online at wrfalp.com/streaming/ or listen on the WRFA app.Special Thanks to my buddy Jay Vics for the behind the scenes help on this episode!https://www.meettheexpertspodcast.comhttps://www.jvimobile.com

This is a free preview of a paid episode. To hear more, visit www.splitzoneduo.com2024 was a weird (read: bad) year for a lot of college football teams in the state Alabama. Justin Ferguson, publisher of the Auburn Observer and all-purpose ball-knower in the state, joins Alex and Richard to discuss:* How everyone's feeling after the two Iron Bowl teams went a combined 7-9 in the SEC, tied for their worst joint record of the century* Why this will be an offseason of hope for Auburn, and why Hugh Freeze will have to deliver a lot early in the 2025 season* Alabama's pivot away from in-state recruiting and Alex's theory that the revenue-sharing era should be good to the Tide* UAB still has Trent Dilfer, and the Blazers coach is attempting the most blatant '“portal to save his job” maneuver that we've ever seen* South Alabama is at least a little interesting, if not quite “good”* Troy, however, is none of the above at the moment* Scott Cochran's new Division II job makes waves* Jacksonville State nailed its FBS transition, won Conference USA, and has a new coach who can recruitThanks to Ferg, whose work is at www.auburnobserver.comHosts: Richard Johnson, Alex KirshnerGuest: Justin Ferguson

The Ochelli Effect 1-17-2024 Open Mic Friday with B PeteAs America is Trumped, we search for anyone with an original thought to offer beyond letting Agent Orange and the Technocrats rule us via AI and Internet Cookies.Left to make the great Satan Claws bring about the death of Democracy to Thunderous Applause and Cookies canned as if it was over-priced groceries and another failed Space X Launch that Emo Musk has informed you through a user agreement you are proud to click without reading. Like it was an ItUnes tune up for these notes which no one reads anyway. Also, Just for the record, FUCK YOU and Triple-Hole Pentagram Insertion for anyone who doesn't send us a goddamn donation @ https://ochelli.com/donate/ because unlike the billionaire class that is the newest American Marvel Stupid Hero Franchise infecting our government like the piss from Russian Hookers Hired by Orange Julius to benefit Vlad Big Daddy Put in Your Ass Putin This coming Friday we'll be LIVE with unauthorized sound from a Nature reserve near No one.Have a nice day, forrest Gump style, and Fuck You, Fuck You Very much...The Co-Host http://www.bpete1969.com/https://www.facebook.com/bpete1969KEEP OCHELLI GOING. You are the EFFECT if you support OCHELLI https://ochelli.com/donate/FRIDAY NIGHT OPEN MICCallers Needed1 (319) 527-5016YOU Decide TopicsListen/Chat on the Sitehttps://ochelli.com/listen-live/TuneInhttp://tun.in/sfxkxAPPLEhttps://music.apple.com/us/station/ochelli-com/ra.1461174708

The title of this episode is somewhat misleading- not the so poopy so dead part, that's actually bizarrely accurate but if you're having trouble figuring out how those things connect to the holidays, know you're not alone. Ciara typed *christmas* into the email search bar and for whatever reason, death was a central theme. While poop wasn't mentioned as much, it still is our podcast so there's no world where we don't have a poop story correlate with whatever word we type into the search bar. When we do scandal episodes, it is hard to write a description because you all know what is going down so instead of being a thorough explainer, I thought I'd share some alternative title options:-I love bulldogs, I love bubba Gump, I love being by myself-Spade and Neuter your sisters or whatever Bob Barker said-I think I chemical burned my puss puss-Stay tuned to see who my aunt gives grandma to for Christmasand finally-I gotta get out of here and bleed onto something You're welcome for the continued lack of context, out of pocket eppy quotes. WE'RE GOING ON TOUR - ladiesandtangents.comWE'RE ON PATREON - patreon.com/ladiesandtangentsMERCH - ladiesandtangents.com/lt-merch*NEW* SUBMIT YOUR STORIES - landtstories@gmail.comFOLLOW ALONG WITH US ON SOCIAL MEDIA - @ladiesandtangents GAZA/WEST BANK RESOURCES-https://medium.com/@scholarscoalition/for-immediate-release-u-s-4c2aecd11535https://irusa.org/middle-east/palestine/https://buildpalestine.com/2021/05/15/trusted-organizations-to-donate-to-palestine/https://www.vox.com/2015/5/14/18093732/israel-palestine-misconceptionshttps://www.goodreads.com/en/book/show/52045757

Send us a textBook 16 ends with Joe Bob Fenestre revealing that he's been slurping Yeerk. Jake's mother shares that she is in possession of two weapons, though unfortunately neither of them is a broad sword. Are we the only ones who find the ending of this book to be incredible, but the beginning and middle to be a bit forgettable? How disappointed was Jake to learn that his mom's secret “weapons” were figurative?  Is Gump doomed to die trying to pet a wolf now that Cassie approached him as one? Is a plunger or a thick boba straw more useful for getting a Yeerk out of a brain? Support the showSupport us on Patreon: https://www.patreon.com/anidorks@anidorkspod on twitter! Send questions to anidorkspod@gmail.comHey! For real though: Leave us a 5 star review and we'll read it on the air! New episodes every Wednesday!!!

The early split of the 2024 Iowa deer season for bow hunting came to an end last Friday. It is safe to say that this season left a major impact on the Raised Hunting crew. There were a lot of challenges to face during the 2024 deer season, Warren kept a tag in his pocket till December, Easton's target buck Gump just keep running and avoiding us a all cost, and the uncharacteristic weather began on day one of the season in October and continued through the final day. Even through all the warm November days, countless trail camera pictures, and some days of getting skunked in the tree stand, this deer season was a major learning experience. On this episode of the Raised Hunting Podcast, we dive into our biggest lessons for the 2024 Iowa deer season. We investigate some of the results from our new strategies we tried on our farms and how we can adapt them for the next season. From potentially adding more water troughs into crucial areas, to moving stands into more beneficial locations, the gears in the minds of the RH Crew are always spinning. We still have some late season opportunities here in Iowa and who knows, we still might have some new hunter adventures to close out the year! Discount Codes: You guys have been absolutely amazing when it comes to supporting Raised Hunting so we wanted to return the favor! Just for all you loyal RH Podcast listeners we have some discount codes for you! We not only have a code to get you 15% off all Grizzly Cooler items on their website, but we got you guys a code for 15% all Raised Hunting products!!! Grizzly Cooler Discount Code: RZDGRZ24 Raised Hunting Discount Code: RHPCREW15 Check Out: Raised Hunting Website: https://www.raisedhunting.com/ Raised Nocks: https://www.raisedhunting.com/pages/raised-nocks Raised Canine: https://www.raisedhunting.com/pages/raised-canines Raised Scents: https://www.raisedhunting.com/pages/raised-scents

The Springfield Friars Club roasts Homer, with help from clips from past episodes..."but don't call it a clip show." Click the link below to contact us, listen to past episodes, merch, and more! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linktr.ee/AnnoyedGruntBoys⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ***Next Episode: S36 E08 - Convenience Airways*** --- Support this podcast: https://podcasters.spotify.com/pod/show/138simpsons/support

11 Gold Gloves 6F's and 27 outs no more The beginning ... south of the border Keep it simple- The Gump of IF coaching Ranger days "You'll be in the bigs by the time you're 25" The cue shot Gastonia No cheat sheets The "Push Through" phenomenon Wide base The visual involved with turning 2 DP- speed of ball, speed of runner, direction of ball Play catch and wall ball Repeatable acts On knees Video links The backhand toss and the anatomy of the feed

Don't have time to listen to the entire Dave & Chuck the Freak podcast? Check out some of the tastiest bits of the day, including topics that can start a fight at family gatherings, have you been tased by a family member?, woman attacked 7-Eleven employee with improvised flame thrower, and more!

One of the most beloved movies of our time was 1994's “Forrest Gump.” In this 1995 interview, the author who created the character, Winston Groom, explains Forrest Get your copy of Gump & Co. by Winston Groom As an Amazon Associate, Now I've Heard Everything earns from qualifying purchases.You may also enjoy my interviews with David Morrell and Joseph Heller For more vintage interviews with celebrities, leaders, and influencers, subscribe to Now I've Heard Everything on Spotify, Apple Podcasts. and now on YouTube Photo by Mississippi-Alabama Sea Grant #ForrestGump #fiction #novel #Tom Hanks

Tom Hanks returns to the show! Tom Hanks, Robin Wright, and Robert Zemeckis are back together for their new film "Here." He walks us through some of the iconic scores his films have been part of including "Apollo 13's" launch sequence bringing him to tears. He shares the story behind a "Forest Gump" sequel that never happened and even having doubts about "Gump" while filming. Stick around after the interview for our reviews of "Here," and Sean's breakdown of his coverage at the SCAD Savannah Film Festival. Next week, director Robert Zemeckis joins us to continue the conversation, so stay tuned!ReelBlend PremiumSign up for a bi-weekly newsletter from Sean, and ad-free episodes at bit.ly/reelblendpremium.ReelBlend on YouTubeBe sure to subscribe to ReelBlend on YouTube (YouTube.com/ReelBlendPodcast) for full episodes of the show in video form.Follow The ShowReelBlend - @ReelBlendSean - @Sean_OConnellJake - @JakesTakesKevin - @KevinMcCarthyTVGabe - @gabeKovacsTimestamps (approx. only)00:00 - Intro 05:44 - Tom Hanks Interview36:40 - Rare Interviews With Big Movie Stars40:47 - ‘Here' Review57:37 - Sean At SCAD: ‘September 5,' ‘Anora' & More 1:09:53 - OutroSupport this podcast at — https://redcircle.com/reelblend/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

46 years after the original Wizard of Oz comes Disney's attempt at a sequel, Return to Oz. Whilst a huge cinematic bomb in 1985 the same year it arrived it's legacy endured by the generation of children it traumatised by putting Dorothy through a series of horrifying trials to yet again attempt to make her way back to Kansas. This time she's joined by Tik-Tok, Jack Pumpkin Head the The Gump as she battles against the Nome King, Mombi and The Wheelers. It certainly is something. Without a doubt. Thanks for checking out our Caravan Of Garbage reviewSUBSCRIBE HERE ►► http://goo.gl/pQ39jNHelp support the show and get early episodes ► https://bigsandwich.co/Patreon ► https://patreon.com/mrsundaymoviesJames' Twitter ► http://twitter.com/mrsundaymoviesMaso's Twitter ► http://twitter.com/wikipediabrownPatreon ► https://patreon.com/mrsundaymoviesT-Shirts/Merch ► https://www.teepublic.com/stores/mr-sunday-movies The Weekly Planet iTunes ► https://itunes.apple.com/us/podcast/the-weekly-planet/id718158767?mt=2&ign-mpt=uo%3D4 The Weekly Planet Direct Download ► https://play.acast.com/s/theweeklyplanetAmazon Affiliate Link ► https://amzn.to/2nc12P4 Hosted on Acast. See acast.com/privacy for more information.

The more places change, the more they stay the same.

Along with trashing this feller who deems himself a master of etiquette , this week the boys continue thier olympic talk which leads to a discussion of a ral life tortoise and the hare situation! Also Trae fills us in on Hollywoods first ever feature length documentary.... but how much of it was BS? TryFum.com.com/POA code POA TraeCrowder.com WeLoveCorey.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Along with trashing this feller who deems himself a master of etiquette , this week the boys continue thier olympic talk which leads to a discussion of a ral life tortoise and the hare situation! Also Trae fills us in on Hollywoods first ever feature length documentary.... but how much of it was BS? TryFum.com.com/POA code POA TraeCrowder.com WeLoveCorey.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week on Script Apart – a sit-down on a proverbial park bench to pick through the box of chocolates that is Forrest Gump, with the legendary screenwriter behind the classic drama, Eric Roth! Marking the film's 30th anniversary, Roth regales us with secrets from the Gump's creation, breaking down why he elected not to make Forrest a NASA astronaut (unlike in the book on which it's based) and what makes the character so enduringly endearing.You'll also discover how the relationship between Forrest and Jenny was informed by Eric's own love for his wife, what the feather at the beginning of the film represents, and what happened to the ill-fated sequel that Roth wrote – only to abandon in the days after 9/11.Script Apart is hosted by Al Horner and produced by Kamil Dymek. Follow us on Twitter and Instagram, or email us on thescriptapartpodcast@gmail.com.Support for this episode comes from ScreenCraft, Final Draft and WeScreenplay.To get ad-free episodes and exclusive content, join us on Patreon.Support the Show.

This episode Gump joins the podcast. He is a cop in rural Illinois. Gump grew up in "that family" but overcame the odds to be a productive member of society. Good dude, interesting conversation, and of course childish jokes. Sunday podcasts are brought to you by my friends over at OfficerPrivacy.com OfficerPrivacy has software that allows you to quickly remove your personal information from the internet. Use their software FREE for 14 days. Or their team of LEO's will remove your info for you. Sign up and feel safe again. https://www.thethinlinerockstation.com/ PMPM coins - www.ghostpatch.com PMPM Merch - https://poorly-made-police-memes.creator-spring.com/? https://linktr.ee/Poorlymadepolicememe --- Support this podcast: https://podcasters.spotify.com/pod/show/poorly-made-police-memes/support

We are BACK with another week on The POD! After some scheduling issues last week the boys are finally back with a new episode and have a bunch to update the Podiacts on. The boys break down their Memorial Day experiences as Gumpy has taken an oath to now attend the Indianapolis 500 every single year. After the boys get all caught up and situated they jump right into the Pod FOD. The Pod FOD, which is a folder compiled of all things around the internet. This week's Pod FOD includes Glen Powell turning down a role in the latest Jurassic Park movie, a look back at some of Gump's favorite shipyard nicknames, a look into the cinematic masterpiece of “Little Hercules'', the most committed roller coaster rider in the world, and much much more. Make sure to subscribe to youtube.com/thepodpmi to watch full episodes and don't forget to send your submissions for the Pod FOD to @ThePodPMI on twitter and instagram. We appreciate you rocking with us and we'll see you Wednesday, Cheers.

In this week's Flightless Bird, David Farrier goes to eat at iconic American restaurant chain the Bubba Gump Shrimp Co. Back in 1994, Forest Gump was box office gold - the highest grossing film in America that year. Forrest Gump also did something not many films have ever done - something truly magical - it leapt out into real life. Because on any day of the week in America, you can stroll directly into a restaurant that wouldn't exist without Forrest Gump: The Bubba Gump Shrimp Co. To learn about all things Gump, Farrier talks with David Chen from decodingeverything.com who breaks down the significance of the film. He then takes producer Rob to dine in style at Bubba Gumps, before talking to the Vice President & COO of the Bubba Gump Shrimp Co., Jenny Scharbrough. That's right, Jenny! Learn more about your ad choices. Visit podcastchoices.com/adchoices

On today's show, Pat, AJ Hawk, and the boys welcome Gumpy back from Canada after a long, arduous process. They also discuss all the games and the biggest takeaways from week 2 of the preseason including the Steelers looking great, the Bills not so much, Jordan Love continuing to look good, all the other Quarterback play that impressed, and much more. Joining the show to chat about the importance of playing in at least one preseason game to get the juices flowing before the preseason, the Rams offensive line this year, and more (1:16:35-1:28:44). Later, NFL Network Senior Insider, Ian Rapoport joins the progrum to chat about all the different news stories and holdouts that are happening around the NFL that we need to be aware of, Nick Bosa's holdout situation, what's happening with Jonathan Taylor, he learns of Tokitae aka Lolita's untimely demise, and much more (1:54:53-2:30:11). Make sure you subscribe to youtube.com/thepatmcafeeshow to watch the show. We appreciate the hell out of all of you. See you tomorrow, cheers.