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Wholesale prices rose sharply in the latest report, pointing to persistent inflation that could complicate Federal Reserve policy decisions. This unexpected uptick in producer prices suggests the inflation fight is far from over, despite earlier optimism about cooling price pressures.Today's Stocks & Topics: Hertz Global Holdings, Inc. (HTZ), Market Wrap, Ball Corporation (BALL), KPP Newsletter, Inflation's Stubborn Return: Wholesale Prices Surge Signals Persistent Price Pressures, Whirlpool Corporation (WHR), Key Benchmark Numbers: Treasury Yields, Gold, Silver, Oil and Gasoline, ADMA Biologics, Inc. (ADMA), Jobs Report, Nucor Corporation (NUE), AbbVie Inc. (ABBV).Our Sponsors:* Check out Anthropic: https://claude.ai/invest* Check out Pebl: https://hipebl.ai* Check out Progressive: https://progressive.com* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

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

In this third installment of Claude Sessions, Danny is joined by Subash from Not A Square, who helps e-commerce brands scaling past seven figures implement AI without scaling headcount. Subash walks through real client case studies -- including a TikTok brand that boosted its customer satisfaction score from 4.2 to 4.5 in four weeks using a customer support agent built in Claude. Danny then breaks down OpenClaw, the open-source personal AI agent that exploded in popularity, explains why he chose not to use it despite the temptation, and reveals Claude Flow -- his custom operating system built inside Claude Code with 11 engines, 300+ features, and a persistent memory layer powered by ChromaDB. The episode drives home one core message: document your operations first, pick one platform, go deep, and stop chasing every new tool. Key Topics Documenting operations before automation -- Why you cannot automate what is not documented TikTok customer support case study -- Building an AI agent that raised satisfaction scores in four weeks OpenClaw overview and security risks -- What it does, why it blew up, and why Danny built his own alternative Claude Flow -- Danny's custom operating system inside Claude Code with persistent memory The amnesia loop -- How context loss between sessions kills productivity and how ChromaDB solves it Pixel-less environment -- The shift from structured prompts to contextual AI interaction Go deep on one platform -- Why chasing multiple AI tools guarantees you build nothing Timestamps [00:00] Introduction -- Claude Sessions Week 3, delayed from the road [01:03] Subash introduces himself and Not A Square [02:01] Overview of three client projects and the problem founders face [04:30] Why operational truth is the moat in AI commerce [06:48] Three pillars: reduce costs, better governance, scale without headcount [07:30] TikTok case study -- customer support agent boosting store score from 4.2 to 4.5 [09:04] OpenClaw -- history, capabilities, and the security nightmare [15:30] Six core capabilities of OpenClaw (local-first, universal messaging, persistent memory, browser automation, system access, self-extending skills) [18:00] Why OpenClaw matters -- moving from dumb LLMs to personal AI agents [20:00] Security trade-offs -- 1.5M API keys exposed, malware in skills, Cisco tests [22:00] Claude Flow -- Danny's 11-engine operating system built inside Claude Code [24:26] The amnesia loop -- how sessions lose context and how ChromaDB fixes it [28:19] Why Claude MD, agents, and skills are not enough without hooks and triggers [32:40] Go deep on one platform -- stop chasing every new tool [35:35] Subash on helping sellers adopt Claude Code fundamentals (Claude MD, skills) [39:51] Wrap-up and contact info Key Takeaways Document before you automate -- If your business operations live in the founder's head and not on paper, any AI tool will amplify the chaos rather than fix it. Operational truth is the moat -- Clean inventory, accurate catalogs, honest cashflow reporting. Get these right before touching AI. One AI agent moved the needle -- A single customer support agent on TikTok raised a brand's satisfaction score from 4.2 to 4.5 in four weeks, directly improving store visibility. Persistent memory changes everything -- ChromaDB captures decisions, patterns, and project context across sessions so Claude compounds in usefulness over time (zero entries in session one, 1,700+ by session 25). Scaffolding beats raw building -- Danny's Claude Flow system means a project that took five days six months ago now takes 40 minutes. The investment in infrastructure pays exponential returns. OpenClaw is proof of concept, not production-ready -- Broad permissions, prompt injection vulnerabilities, exposed API keys. Wait for the open-source community to patch the holes before diving in. Pick one platform and go all the way in -- Chasing multiple AI tools means you learn none of them deeply and build nothing of value.

Dr. Majid Fotuhi, neurologist, neuroscientist, and adjunct professor at Johns Hopkins University, has spent decades studying how the brain ages and what determines whether cognitive performance declines or strengthens over time. In this discussion, he challenges one of the most widely accepted assumptions about aging: that deterioration of memory and thinking is inevitable. The evidence, he explains, points in a different direction. Cognitive health is strongly shaped by daily choices, and meaningful improvements can occur within weeks when those choices change.  Fotuhi organizes the science of cognitive resilience around five pillars: exercise, sleep, nutrition, stress management, and brain training. Each pillar affects the brain through measurable biological mechanisms. Exercise, for example, increases mitochondrial activity and stimulates the growth of new neurons in regions responsible for memory. Even modest activity matters. Walking several thousand steps daily has been associated with reduced markers of Alzheimer's disease in the brain, while higher fitness levels correlate with stronger cognitive performance.  Sleep represents the second pillar. Consistent rest of seven to eight hours supports the brain's ability to regulate stress hormones and maintain cognitive clarity. Persistent sleep disruption is often tied not to physiology but to unresolved concerns. Fotuhi notes that many professionals carry a large number of unresolved problems into the night. Creating clear plans for addressing those issues often reduces anxiety enough for normal sleep patterns to return. Nutrition is the third pillar. Highly processed foods, particularly those containing trans fats, increase inflammation and are associated with smaller volumes in the hippocampus, the region of the brain responsible for memory. By contrast, a Mediterranean-style diet rich in fruits, vegetables, fish, and olive oil supports long-term brain health. Food, in this sense, functions as daily neurological input rather than simple fuel.  The fourth pillar is stress regulation. Chronic stress elevates cortisol, which can damage memory-related brain structures over time. Fotuhi emphasizes that much stress is generated internally through expectations and repeated negative thought patterns. Techniques such as cognitive behavioral therapy, meditation, and deliberate reframing help interrupt these cycles and allow the brain to operate in a more stable state.  The final pillar is brain training. Cognitive capacity strengthens when the brain is consistently challenged through activities that require learning and adaptation. Language study, music, strategic games, or complex physical skills all stimulate neural pathways. The key is sustained engagement in activities that are both demanding and enjoyable. The brain, like muscle, develops strength through repeated use. Underlying these pillars is a broader insight about aging itself. Fotuhi argues that the second half of life can be a period of cognitive growth rather than decline if individuals adopt the habits that support brain health. The goal is not merely to avoid disease but to maintain clarity, memory, and mental energy well into later decades. For senior professionals whose performance depends on sustained cognitive capacity, the implications are practical. The brain remains highly adaptable. With deliberate attention to exercise, sleep, diet, stress, and learning, cognitive capability can be preserved and, in many cases, strengthened over time. Get Majid's book, The Invincible Brain, here: https://tinyurl.com/ymf47ee3 Claim your free gift: Free gift #1 McKinsey & BCG winning resume www.FIRMSconsulting.com/resumePDF Free gift #2 Breakthrough Decisions Guide with 25 AI Prompts www.FIRMSconsulting.com/decisions Free gift #3 Five Reasons Why People Ignore Somebody www.FIRMSconsulting.com/owntheroom Free gift #4 Access episode 1 from Build a Consulting Firm, Level 1 www.FIRMSconsulting.com/build Free gift #5 The Overall Approach used in well-managed strategy studies www.FIRMSconsulting.com/OverallApproach Free gift #6 Get a copy of Nine Leaders in Action, a book we co-authored with some of our clients: www.FIRMSconsulting.com/gift

"It only takes a few. Are you willing to be one of them?" - Cheri LaneWe are so excited to continue on with our study on the first half of the book of Daniel. This week we get to learn about Daniel 5 and 6, and how God used Daniel and his friends to mightily impact the captives of Judah and the sovereigns of their captors, the Babylonians, and later, the Medes and Persians. Show Notes: Daniel 5:2-6; 22-23Daniel 6: 10. 14-16; 26-27Support the showEmail: sheispodcast@refugecity.churchInstagram: she_is_podcastFacebook: https://www.facebook.com/sheispodcastrccYouTube: https://www.youtube.com/@sheispodcast4645

   This episode of WarDocs features Dr. David Tate, a clinical neuropsychologist and lead author of the 2025 Military Medicine Article of the Year. The discussion centers on a groundbreaking study utilizing the LIMBIC-CENC cohort—a massive data set of over 3,000 participants—to investigate persistent brain changes in mild traumatic brain injury (mTBI). Dr. Tate explains that traditional MRI scans often show normal results in patients with invisible symptoms because researchers often oversimplify patient groupings. By digging into more refined clinical characteristics, such as the mechanism of injury and number of exposures, his team identified unique physical signatures in the brain. Specifically, blast exposures were linked to changes in central white matter, while repetitive traumatic hits impacted more peripheral gray matter structures.    The conversation highlights the critical importance of neuroimaging techniques like diffusion tensor imaging, which is more sensitive to structural white matter changes than standard hospital sequences. Dr. Tate emphasizes that these findings provide vital validation for service members and veterans, demonstrating that their ongoing symptoms are rooted in physical, biological changes rather than purely psychological or "imagined". For clinicians, the episode serves as a call to action to move beyond simplistic interpretations of "normal" imaging and to prioritize exhaustive injury histories that include the physics of every exposure event.    By combining a deep dive into advanced neuroimaging with a focus on personalized medicine, this episode provides a comprehensive look at the future of TBI diagnosis and treatment. Listeners will learn how high-resolution volumetric data and detailed clinical info—including loss of consciousness and post-traumatic amnesia markers—are used to improve prognostic accuracy. Ultimately, Dr. Tate's work demonstrates that injury history matters even years later, pointing researchers and clinicians toward a more precise approach to studying and treating the diverse landscape of mild traumatic brain injuries in the military population. Chapters (00:00-01:30) Introduction to the 2025 Military Medicine Article of the Year (01:30-06:17) Dr. David Tate's Professional Background and Career Evolution (06:17-08:04) Understanding the LIMBIC-CENC Cohort and Consortium Research (08:04-12:44) Methodology: Advanced Neuroimaging and Detailed Clinical Variables (12:44-17:03) Key Findings: Heterogeneity of mTBI and Mechanism-Specific Signatures (17:03-22:15) The Bottom Line: Validating Veteran Experiences and Clinical Takeaways Chapter Summaries (00:00-01:30) Introduction to the 2025 Military Medicine Article of the Year   MG(R) Jeff Clark introduces guest Dr. David Tate and recognizes his team for winning the 2025 Military Medicine Article of the Year. The article focuses on persistent MRI findings unique to blast and repetitive mild traumatic brain injury within the LIMBIC-CENC cohort. (01:30-06:17) Dr. David Tate's Professional Background and Career Evolution   Dr. Tate shares his journey from growing up on a farm in Mississippi to becoming a leading researcher in academic neuropsychology. He discusses his mentorship under Erin Bigler and his favorite career experiences working directly with service members at Brooke Army Medical Center. (06:17-08:04) Understanding the LIMBIC-CENC Cohort and Consortium Research   The discussion explores the advantages of using a large consortium dataset that includes over 3,000 participants across the United States. This prospective study enables leading scientists and clinicians to collaborate on well-characterized, long-term functional outcomes following brain injury. (08:04-12:44) Methodology: Advanced Neuroimaging and Detailed Clinical Variables Dr. Tate explains the use of high-resolution volumetric MRI data and diffusion tensor imaging to map brain structural connections. Researchers combined these images with a plethora of clinical data, including lifetime exposure histories, demographics, and specific injury markers like loss of consciousness. (12:44-17:03) Key Findings: Heterogeneity of mTBI and Mechanism-Specific Signatures The study reveals that mild TBI is extremely heterogeneous and simplistic group comparisons often obscure meaningful findings. Findings showed that blast exposures leave signatures in central white matter, while repetitive traumatic injuries more specifically affect gray matter structures. (17:03-22:15) The Bottom Line: Validating Veteran Experiences and Clinical Takeaways The bottom line is that persistent brain changes can be detected if clinicians look at the right variables and mechanism of injury. This research validates the lived experiences of veterans, proving their symptoms are not imagined and emphasizing the need for detailed injury histories. Article Reference Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics Open Access David F Tate, PhD , Benjamin S C Wade, PhD , Carmen S Velez, MS ,  Erin D Bigler, PhD , Nicholas D Davenport, PhD , Emily L Dennis, PhD ,  Carrie Esopenko, PhD , Sidney R Hinds, MD , Jacob Kean, PhD , Eamonn Kennedy, PhD  Military Medicine, Volume 189, Issue 9-10, September/October 2024, Pages e1938–e1946, https://doi.org/10.1093/milmed/usae031   Take Home Messages Heterogeneity of Mild TBI: Mild traumatic brain injury is not a single, uniform condition, and simplistic groupings can obscure meaningful characteristics of an injury. Clinicians must recognize that "if you've seen one mild TBI, you've seen one mild TBI," requiring a more personalized approach to diagnosis. Mechanism-Specific Signatures: The physical signature left on the brain depends heavily on the mechanism of injury, with blast exposures typically affecting central white matter and repetitive traumatic hits impacting peripheral gray matter. Understanding these distinctions helps explain why different patients experience different functional outcomes even with the same diagnosis. Sensitivity of Advanced Neuroimaging: Standard MRI sequences often fail to detect injuries in mTBI patients, but advanced techniques like diffusion tensor imaging are highly sensitive to structural white matter changes. Relying solely on basic imaging can lead to an over-simplistic interpretation that overlooks persistent brain changes. Validation of Lived Experiences: Research into persistent brain changes provides vital biological validation for veterans and service members who struggle with ongoing symptoms. These findings support the idea that invisible wounds have a physical basis and are not simply psychological or imagined. Importance of Detailed Injury Histories: For clinicians, the most critical takeaway is the necessity of capturing a detailed lifetime injury history, including the number of exposures and specific physics of each event. This detailed clinical information is essential for improving prognostic accuracy and understanding a patient's long-term health trajectory.   Episode Keywords Military Medicine, WarDocs Podcast, Traumatic Brain Injury, TBI Diagnosis, Blast Exposure, Neuropsychology, Persistent MRI Findings, Veteran Healthcare, Brain Imaging, Mild TBI, LIMBIC-CENC Cohort, Neuroimaging Research, AMSUS, Combat Injury, White Matter Change, Brain Health, Dr. David Tate, Military Health System, Invisible Injuries, Medical Podcast, Concussion Recovery, Gray Matter, MRI Scans, AMSUS Article of the Year, Veteran Support, Brain Mapping Hashtags #MilitaryMedicine, #WarDocs, #BrainHealth, #Veterans, #Neuroscience, #MildTBI, #BlastInjury, #MedicalResearch   Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission is to honor the legacy, preserve the oral history, and showcase career opportunities, unique expeditionary experiences, and achievements of Military Medicine. We foster patriotism and pride in Who we are, What we do, and, most importantly, How we serve Our Patients, the DoD, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield,demonstrating dedication to the medical care of fellow comrades in arms.     Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast          

This week we discuss the current status of Mental Health Care.   Mental health care is changing, but most experts argue it is not changing fast enough relative to the need, especially on access, equity, and workforce. Where change is too slow Unmet need is huge. In the U.S., millions with a diagnosable condition still receive no treatment each year; a recent national report notes that many adults with mental illness remain uninsured or unable to access care.​ Global workforce shortages. Nearly 50% of the world's population lives in countries with fewer than 1 psychiatrist per 100,000 people, which severely limits access.​ Specialist shortages in high‑income countries. Projections for the U.S. estimate a shortage of roughly 14,000–31,000 psychiatrists, with over half of counties having none at all, and this gap may persist for decades without major policy changes. System design still hospital‑centered. The WHO notes that two‑thirds of scarce mental health budgets still go to stand‑alone psychiatric hospitals rather than community‑based services, despite all countries having signed on to a reform plan.​ Persistent inequities. Underserved groups (rural communities, people of color, LGBTQ+ people, low‑income populations) face additional barriers like providers not taking Medicaid/Medicare, language gaps, and local provider deserts.​ What is changing quickly Telehealth and virtual care. Teletherapy and virtual mental health visits expanded dramatically and now make it easier to reach people regardless of location, with greater scheduling flexibility and fewer logistical barriers. Digital mental health tools. Apps and web programs delivering structured therapies (for example CBT modules) can reduce symptoms of depression and anxiety with moderate to high effect sizes, including in low‑resource settings. New care pathways. Systems are experimenting with brief interventions, stepped‑care models, peer‑support programs, and task‑sharing where general health workers and community providers deliver basic mental health support. Policy and parity efforts. Some U.S. states are strengthening mental health parity enforcement, improving network adequacy, and changing insurance rules to make psychiatric medications and services easier to access.​ Stigma is slowly decreasing. Recent commentary highlights that more people are willing to seek help, pushing demand higher and driving interest in more personalized, data‑driven psychiatric care.​ Big picture: mismatch between need and pace Demand is outpacing innovation. Trauma, pandemic aftereffects, economic stress, and social unrest have increased mental health needs faster than systems can expand the workforce or redesign care, deepening inequities. Technology helps but isn't a cure‑all. Digital tools and telehealth extend reach, but quality is uneven, many apps lack strong evidence, and people with the most severe conditions still need intensive, in‑person, multidisciplinary care. Global agencies explicitly say pace is inadequate. The WHO's own assessment is that "change is not happening fast enough," framing the current situation as one of ongoing need and neglect despite clear evidence of what would work better.​ What would "fast enough" look like? Large‑scale investment in community‑based services and integration of mental health into primary care, shifting funding away from institutional‑only models.​ Aggressive strategies to grow and sustain the mental health workforce (training, better reimbursement, support to prevent burnout, incentives for underserved areas). Wider, evidence‑based use of digital interventions and telehealth, with standards for safety, privacy, and effectiveness so people can trust what they are using. Stronger parity enforcement and policies that make it actually practical—not just theoretically covered—to find and afford care. If you think about your own community or the people you work with, do you feel the main barrier is access (finding/affording care), quality (getting the right care), or something else like stigma or navigation?

In this episode of the Essential Wellness Podcast, we explored how to navigate burnout and perimenopause with practical, natural solutions. Hosted by Aisha Harley, the conversation featured Arin Fugate, Dr. Josie, Dr. Mica & Dianne DelReyes LA.c  who discussed early signs of burnout, hormonal shifts, genetic detox considerations, and supportive essential oil and supplement protocols. Arin shared her personal journey through midlife exhaustion, brain fog, sleep disruption, and weight gain — highlighting how chronic stress, caffeine reliance, post-COVID recovery, and genetic factors like MTHFR mutations compounded her symptoms. The discussion emphasized recognizing early warning signs and implementing simple, supportive habits before deeper depletion occurs.

ValueIn this episode with Reid Lyon, we go straight to the source of the modern reading research movement. You hear firsthand what the research actually revealed about how children learn to read, where implementation has gone wrong, and why misunderstanding the science continues to create confusion in classrooms. This is not secondhand interpretation. It is direct insight into the evidence, the history behind it, and the consequences of getting it wrong. You walk away with deeper clarity about literacy acquisition and stronger conviction about what matters most.PromiseWe will not water this down.We will not rewrite history.We will not soften the hard truths about research and implementation.We will examine the science.We will confront the misinterpretations.We will connect the evidence to real classroom practice.No spin.No agenda.Just research, accountability, and clarity you can stand on.Kicking off March Madness with the LION OF READING!

SummaryThe latest episode of the Startup Junkies podcast shines a spotlight on the enduring legacy and forward-thinking strategies of ACC Capital (formerly Arkansas Capital Corporation). Host Caleb Talley, joined by Jeff Amerine, welcomes Sam Walls, who shares the rich history and impact of ACC in Arkansas's entrepreneurial ecosystem.From its inception in the 1950s, ACC played a pivotal role in driving economic development and entrepreneurship in a state once plagued by poverty and limited capital. Sam details how ACC, born out of the vision of leaders like Winthrop Rockefeller, became a “third leg” in supporting capital needs, working alongside the state and private sector to bring manufacturing to Arkansas. Over the decades, ACC expanded its services, from pioneering SBA and USDA-guaranteed lending to launching Arkansas's first in-state SBIC venture capital fund and leading initiatives like the Governor's Cup business plan competition.Additionally, the episode highlights ACC's bold leap into the federal EB-5 immigrant investor program, which contributed nearly six hundred million dollars to transformative projects like Big River Steel in Mississippi County. For those passionate about economic development, this episode is an inspiring look at how steady vision and adaptability can create lasting impact. To learn more about ACC Capital or the Governor's Cup, listen to the full conversation!Show Notes(00:00) Introduction(05:58) Diverse Economic Development Initiatives(08:18) Arkansas Capital's Foundational Impact(16:03) Collaborating with an Abundance Mindset(21:20) EB-5 Immigrant Investor Program(25:13) Perseverance Amid Financial Struggles(29:30) Congressional Testimony on Job Creation(37:46) Balancing Capital and People(45:45) National Presence and AccessibilityLinksCaleb TalleyDaniel KoonceStartup JunkieStartup Junkie YouTubeSam WallsACC Capital

Julian Tcherassi is the founder of Magiktea, the first USDA Organic & Wildlife Friendly certified palo azul tea brand in the world.  Under his leadership, Magiktea has grown from a small independent startup into a nationally recognized wellness brand, now available in over 1,000 health food stores nationwide.  Passionate about natural remedies and sustainability, Julian started Magiktea with the mission to share sustainably sourced palo azul so that everyone can enjoy Mother Nature's most magical tea.  In This Conversation We Discuss: [00:00] Intro [02:06] Spotting an opportunity from personal experience [02:56] Starting a business through personal readings [05:06] Prioritizing retail over DTC for early traction [06:53] Offering consignment as visibility strategy  [10:31] Callouts [10:41] Embracing rejection as early sales training [14:43] Sponsor: Klaviyo [16:49] Learning advertisement tactics from founders [18:41] Optimizing website to support conversions [26:46] Sponsor: Intelligems [25:46] Improving listings to outshine competitors [29:26] Leveraging Amazon for exposure and sales [33:25] Sponsor: Electric Eye [34:31] Analyzing your brand for the winning message Resources: Subscribe to Honest Ecommerce on Youtube Fluorescent alkaline palo azul tea magiktea.com/ Follow Julian Tcherassi linkedin.com/in/julian-serrano-tcherassi-97a891156/ Get your free demo klaviyo.com/honest Book a demo today at intelligems.io/ Schedule an intro call with one of our experts electriceye.io/connect If you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

In this podcast, Pastor Justin continues unpacking how we must not just hear the Word, but actually get serious about doing what it says!Support the show

Women now own nearly 42% of all U.S. companies, significantly contributing to the economy as increased access to funding, mentorship, and digital tools breaks down traditional barriers. Initiatives such as All Raise and Goldman Sachs' One Million Black Women are expanding funding opportunities and supporting the growth of women-led startups. Companies led by women are outperforming peers in innovation and profitability, building inclusive cultures that emphasize flexibility and equitable advancement. Technology, including e-commerce and AI-driven analytics, enables women entrepreneurs to reach wider audiences and adapt to market changes. Many women founders are integrating sustainability, education, and community development into their business models, attracting mission-aligned customers and investors. Persistent challenges include funding gaps, limited access to influential networks, systemic bias, and work-life balance, though flexible work models are helping address these issues. Women entrepreneurs can drive their businesses forward by leveraging support networks, embracing digital transformation, championing diversity, and aligning with clear purpose."}Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

In February, the Institute for Practitioners in Advertising (IPA) released its latest Agency Census. The findings showed an agency market in contraction: employment at creative agencies fell 14.3% last year – and that's before Omnicom completed its acquisition of IPG and subsequently announced it would cut thousands more jobs globally.New hiring dropped over 40%, with young people especially finding careers in media and advertising hard to break into, let alone remain in.However, the Census also registered continued progress in gender representation and ethnic diversity at agencies, even if pay gaps persist and geographical diversity is lacking.Lianree Robinson is the campaigning chair for Women in Advertising & Communications Leadership (WACL). She also works as the CEO of The Marketing Academy Foundation and as a mentor for Who's Your Momma London.If that wasn't enough to keep Robinson busy, she's also begun writing a monthly column for us at The Media Leader.Robinson joins host Jack Benjamin to discuss the findings of the IPA Agency Census, and provide a sense check of the progress the media and advertising industries have made with regard to gender and ethnicity inclusion.Highlights:5:38: IPA Agency Census toplines7:16: What has caused the creative agency labour market contraction?10:20: Challenges faced by under-25s employees19:24: Progress, but "relatively slow progress", on gender representation and ethnic diversity24:43: Persistent gender and ethnic pay gaps27:59: WACL's key priorities31:33: Geographical diversity neededRelated articles:Agency employment declines 6.8% as creative roles hollowed outWhy do female-founded agencies remain the exception?I didn't take the ‘traditional' route into media. That's exactly why it workedAsk Nabs Anything: Handling redundancy, rejection and mental health — with Nabs' Annabel McCaffrey---Thanks to our production partners Trisonic for editing this episode.--> Discover how Trisonic can elevate your brand and expand your business by connecting with your ideal audienceVisit The Media Leader for the most authoritative news analysis and comment on what's happening in commercial media. LinkedIn: The Media LeaderYouTube: The Media Leader

Liza Mundy concludes with the legacy of the "Sisterhood," noting where key women are now and the persistent struggles for credit and promotion within CIA culture. 8.GAR DETROIT

Persistent prayer reveals the heart of God as a loving Father. While we often want instant answers, God uses seasons of waiting to grow our trust and draw us closer to Him, always giving us what we truly need. Instead of giving up when answers feel delayed, we are invited to come to Him with boldness, persistence, and faith. So how do we wait well, and pray in season?

A new center for the study of chronic infectious diseases aims to develop treatments for illnesses like Valley fever, tuberculosis, HIV, and Long COVID that disproportionately affect South Texas communities. Led by Dr. Barbara Taylor, the center seeks to attract top researchers and serve as a hub for clinical trials and community-focused care.

Send a textIn this Friday 5 episode of The Autoimmune RESET Podcast, I'm talking about something that many people with autoimmune conditions experience, but that isn't always discussed in enough depth — hand health.For many individuals, the hands are one of the first places symptoms show up. Cold fingers, colour changes, stiffness, pain, weakness, or reduced dexterity can all reflect deeper processes happening in the body, including circulation instability, nervous system dysregulation, connective tissue vulnerability, or immune-driven inflammation. Conditions such as Raynaud's phenomenon, inflammatory arthritis, hypermobility syndromes, and autoimmune connective tissue disorders often manifest visibly in the hands long before other symptoms fully develop.In this episode, I share both clinical insights and personal observations, alongside five practical strategies that can make a meaningful difference. We explore how stabilising circulation supports tissue health, why nervous system regulation plays a central role in blood flow, and how connective tissue and joint support influence long-term hand function. I also discuss the importance of warmth, sensory stimulation, and daily micro-practices that help maintain mobility and comfort.This conversation emphasises that supporting hand health is not only about external measures — creams, braces, or heat — but also about addressing internal physiology, including nutrient status, inflammation, and nervous system balance.As always, the goal is not perfection, but consistency. Small daily practices layered over time can create significant improvements.If you experience persistent pain, colour changes, numbness, or reduced function in your hands, it is always worth investigating underlying drivers rather than simply accepting symptoms as inevitable.Key TakeawaysThe hands are often an early indicator of immune and connective tissue issues.Circulation stability is fundamental for tissue health and comfort.Nervous system regulation directly influences blood flow to the extremities.Supporting connective tissue and joints improves strength and resilience.Warmth and sensory stimulation can significantly improve microcirculation.Consistent daily care matters more than occasional interventions.Persistent symptoms should prompt deeper investigation.Chapters00:00 Introduction to Hand Health and Autoimmune Clues 02:25 Stabilising Circulation 05:49 Nervous System Regulation 07:49 Supporting Connective Tissue and Joints 10:41 Keeping Hands Warm 12:07 Sensory Tools for Microcirculation 14:24 Final Thoughts and Support→ I personally use and recommend Shakti, because it's one of the simplest ways to shift out of “fight or flight” and into a calmer state — supporting relaxation, body awareness, and better sleep quality over time.Use my code: VJ10 for 10% off at checkout: https://www.shaktimat.co.uk/vj

Pastor Bob Jaruta

Attending a conference, a woman noticed that her friend—the day’s presenter—didn’t look well. She approached the presenter, who replied, “I’m going to get through this presentation. If I don’t feel better in the morning, I’ll go to the doctor.” The woman didn’t forget about the presenter’s promise. And although she had to leave the conference early, she asked another friend to check on her. In the morning, there was a knock at the presenter’s hotel door. The second friend had come to drive her to the hospital. There was no backing out and—fortunately—she was given life-saving treatments in time. The persistence of friends apparently helped to save her life. Persistent friends can be a blessing, just like the men in Mark 2. They’d apparently heard about the healing power of Jesus and that He’d come to their town (v. 1). The people clamored to Christ and there was “no room left” for the men to get their paralyzed friend to Him (v. 2). They didn’t let a crowd stop them from getting their friend the help he needed, however: “They made an opening in the roof above Jesus by digging through it and then lowered . . . the man” (v. 4) to Christ who healed him (vv. 11-12). Let’s bring the needs of others to Jesus through persistent prayer. And as He provides what we need, let’s strive to help and love them well.

Doug Messier reports that persistent thruster failures and engineering incompetence have marred Boeing's Starlinerprogram, leaving astronauts marooned and NASA heavily dependent on SpaceX for crewed orbital missions. 8.1952

Vendredi 27 février, la persistance des craintes géopolitiques, et l'impact de l'IA sur l'emploi, ont été abordés par Hervé Goulletquer, conseiller économique senior chez Accuracy, Jean-Marc Daniel, éditorialiste BFM Business, Andrzej Kawalec, directeur général de Moneta AM, et Éric Lewin, stratégiste actions chez Bourse Direct, reçus par Marc Fiorentino dans l'émission C'est Votre Argent sur BFM Business. Retrouvez l'émission le vendredi et réécoutez-la en podcast.

There's a divine assignment on your life that the enemy is desperately trying to abort. Those names that burn in your heart, those faces that won't leave your mind, those family members who seem to be getting worse instead of better - THAT'S NOT COINCIDENCE, THAT'S CALLING! God has strategically positioned you as a watchman on the wall, as a warrior in the prayer closet, as an agent of heaven's intervention in the lives of those He's placed upon your heart. But here's what the enemy doesn't want you to know: When things appear to be getting WORSE after you've been praying, that's not a sign that your prayers aren't working - THAT'S CONFIRMATION THAT THEY ARE!

Alisa is on fire with a message that's resonating with so many: understanding and finding peace with both food noise—the mental chatter around eating—and body noise—the persistent thoughts about how we look and show up in the world. In this episode, she breaks down why these inner messages exist, how they connect to deeper feelings of safety, and what it takes to respond with awareness, truth, and grace. What You'll Learn: What food noise really is: Persistent mental chatter about food that can feel overwhelming. Why it exists: Not all food noise is bad! Hunger is actually a gift—a signal from your body to nourish yourself. The 7 forms of hunger: From true, homeostatic hunger to emotional, social, environmental, habitual, survival, and reward hunger. Understanding which is which can help you respond with awareness rather than guilt. The connection to safety: Increased food noise often points to a deeper sense of insecurity or loss of safety. Body noise: Continual thoughts about our appearance and how we look, and why awareness is the first step in responding differently. Soul work: How sin and brokenness in our world have disrupted our connection to God, ourselves, and others, and why body and food struggles often show up the moment we feel "something is wrong" with our bodies. Hope in community: RW+ offers a space to explore, process, and grow together. Scripture Highlight: Genesis 3:9 reminds us that God seeks us even in our brokenness—and invites us into healing, not shame.

Alisa is on fire with a message that's resonating with so many: understanding and finding peace with both food noise—the mental chatter around eating—and body noise—the persistent thoughts about how we look and show up in the world. In this episode, she breaks down why these inner messages exist, how they connect to deeper feelings of safety, and what it takes to respond with awareness, truth, and grace. What You'll Learn: What food noise really is: Persistent mental chatter about food that can feel overwhelming. Why it exists: Not all food noise is bad! Hunger is actually a gift—a signal from your body to nourish yourself. The 7 forms of hunger: From true, homeostatic hunger to emotional, social, environmental, habitual, survival, and reward hunger. Understanding which is which can help you respond with awareness rather than guilt. The connection to safety: Increased food noise often points to a deeper sense of insecurity or loss of safety. Body noise: Continual thoughts about our appearance and how we look, and why awareness is the first step in responding differently. Soul work: How sin and brokenness in our world have disrupted our connection to God, ourselves, and others, and why body and food struggles often show up the moment we feel "something is wrong" with our bodies. Hope in community: RW+ offers a space to explore, process, and grow together. Scripture Highlight: Genesis 3:9 reminds us that God seeks us even in our brokenness—and invites us into healing, not shame.

Resources mentioned were:The Power of Prayer, E.M. BoundsPrayer - Our Glorious Privilege, Chuck SmithRadical Prayer: The Power of Being Bold and Persistent, Manny MillWith Christ in the School of Prayer, Andrew MurrayIf You Will Ask: Reflections on the Power of Prayer, Oswald ChambersPrayers for Prodigals, James BanksThe One Year Praying Through the Bible for your Kids, Nancy GuthrieFriends with God: Discover How to Pray, Jeff White and David HarringtonFamily Worship, Donald S. WhitneyCalvary Live is an outreach ministry of GraceFM at Calvary Church in Aurora, Colorado.Pastor Ed Taylor is the Senior Pastor of Calvary Church – you can find more about him at edtaylor.org.If you like what you hear on Calvary Live – don't forget to follow us, and share it with your friends and family!

Show NotesKeywords: purpose, fear, courage, growth, impact, faith, resilience, self-discovery, motivation, inspirationSummary: In this episode, Ms. G discusses the importance of pursuing one's purpose despite fears and doubts. She emphasizes that a persistent desire often indicates a deeper calling and encourages listeners to embrace their unique gifts and take action. Ms. G shares the necessity of courage, resilience, and faith in the journey towards fulfilling one's purpose, reminding us that growth often comes from stepping outside of our comfort zones. She concludes with a powerful message to stop waiting for permission and to trust in the process of self-discovery and impact.TakeawaysThe fear of pursuing your purpose is common.Persistent desires may indicate your true purpose.Courage is essential in the pursuit of purpose.Purpose requires action and movement, not comfort.Failure is part of the journey, quitting is not.You are allowed to evolve and change your path.Trust in your unique gifts and experiences.Small steps can lead to significant transformations.Don't wait for validation to pursue your dreams.Your purpose is connected to serving and impacting others.Unlocking Your True PurposeCourage Over Comfort: The Path to PurposeSound Bites"You are allowed to evolve.""Trust God with the rest.""Someone is waiting on your yes."TitlesChapters00:00 Embracing Your Purpose02:52 Overcoming Fear and Doubt06:14 The Journey of Growth and Impact09:10 Taking Action and Moving Forward

"It's not easy to be in the world and not of it." - Jaime WeaverAmanda is bringing an awesome word, which we will take the next two weeks to unpack. We are diving into the first half of the book of Daniel, so get ready to study this fascinating book with us!Show Notes: Daniel 1:17-21Daneil 2:12-16; 19; 27-28Daniel 4:28-33, 37Support the showEmail: sheispodcast@refugecity.churchInstagram: she_is_podcastFacebook: https://www.facebook.com/sheispodcastrccYouTube: https://www.youtube.com/@sheispodcast4645

Neil Lanctot recounts Wilson's narrow victory and his proposal of peace without victory, examining the president's segregationist views and Jane Addams's persistent efforts toward international pacifism. 7

Persistent gut issues, brain fog, fatigue, or recurring infections may be signs of Candida overgrowth. In this video, I break down the top warning signs I see in clinical practice, how to differentiate Candida from similar conditions, and what to know about die-off reactions. If you're noticing patterns that don't fully make sense, this will help you better understand what could be driving your symptoms.   ✅Start healing with us! Learn more about our virtual clinic:  https://drruscio.com/virtual-clinic/  

Affordability may be the defining word of 2026. After years of elevated inflation, a housing affordability crisis, and signs of softness in the labor market, many Americans are feeling squeezed—and looking for answers. You can expect this issue to loom large at the polls in November. That's why state and federal lawmakers should confront one of the central drivers of this “unaffordable” economy: fiscal irresponsibility. Persistent overspending helps fuel inflation and adds uncertainty that holds back growth. It's time to get serious about sustainable budgeting and pro-growth policies that expand opportunity—so Americans can find well-paid jobs, secure affordable housing, and afford daily life again.In today's This Week's Economy, I take an honest look at the latest economic data—even where it challenges media narratives. We'll also examine the risks of a rising push for social media bans and why energy abundance is essential to powering our technological future.Let's dive in! Catch the full episode on YouTube, Apple Podcast, or Spotify, and visit my website for more information about my work at Ginn Economic Consulting.

In this podcast, Pastor Justin preaches into how we must absolutely, positively apply what God says, not just because we love Him, not just because it's what is right or best for us, but because the alternative costs us everything!Support the show

Teacher: Kerry BattleAhava ~ Love AssemblyPsalm 117 commands the nations.Psalm 118 governs the redeemed.These Psalms establish that Yahuah's rule is universal, His truth endures, trust reveals allegiance, and access to His gates is not assumed.This is not emotional worship.This is covenant declaration.WHAT WE COVER IN THIS MESSAGE1. The Nations Are Commanded to PraisePsalm 117:1–2Praise is not invitation, it is command.Refusal to acknowledge Yahuah is not neutrality, it is insubordination.His mercy toward Israel is public witness to the world, and His truth does not expire.2. Covenant Categories and Fear of YahuahPsalm 118:1–4Israel.House of Aaron.Those who fear Yahuah.Covenant identity is defined, not assumed.Fear distinguishes the loyal from the indifferent.3. Trust in Yahuah or Functional IdolatryPsalm 118:5–9“It is better to trust in Yahuah than to put confidence in man.”Trust reveals allegiance.Persistent confidence in man over Yahuah becomes functional idolatry.Deliverance confirms ownership.4. Correction, Not AbandonmentPsalm 118:15–18Yahuah chastens but does not immediately give over to destruction.Correction is mercy.But correction despised invites removal.5. The Gate of Righteousness and Restricted AccessPsalm 118:19–21Entrance is not automatic.“The righteous shall enter.”Access belongs to the aligned, not the self-justified.6. The Rejected Stone and Divine VerdictPsalm 118:22–23The stone rejected by builders becomes the cornerstone.Rejection by men does not cancel Yahuah's decree.Those who reject what He establishes remove themselves from the structure.7. Deliverance Demands VowPsalm 118:24–29Public rescue requires public loyalty.Vows are not sentimental.Ingratitude erodes covenant faithfulness.WHY THIS MESSAGE MATTERSThe nations are accountable.Fear defines covenant identity.Trust exposes allegiance.Access is governed.Rejection does not overturn divine appointment.Deliverance demands obedience.Psalm 117 establishes global authority.Psalm 118 enforces covenant loyalty.SCRIPTURE REFERENCES FOR STUDYGenesis 12Deuteronomy 7, 10Psalm 24Psalm 115Isaiah 28, 45Jeremiah 17Daniel 2Malachi 3Matthew 21Every section is taught precept upon precept.ABOUT AHAVA ~ LOVE ASSEMBLYWe teach the Pure Word of Yahuah.No religion.No tradition.No compromise.Our teaching follows the Sovereign Blueprint:Law | Precept | Example | Wisdom | Understanding | Prudence | Conviction | Fruit of the Ruach | Final Heart CheckSUPPORT THE WORK — GIVE VIA ZELLEZelle QR at: ahavaloveministry.comZelle only.FINAL WORDYou are either trusting Yahuah or replacing Him.You are either entering through the gate of righteousness or assuming access.You are either aligning with the cornerstone or standing outside the structure.There is no third category.Final Heart Check:When pressure comes, where does your trust run?When correction comes, do you submit or resist?When Yahuah establishes what others reject, where do you stand?

Hour 3: The guys discuss Steph Curry's right knee injury and how that impacts the team down the stretch. Dalton Johnson of NBC Sports Bay Area joins the show to discuss how Kristaps Porzingis fits in with this roster. See omnystudio.com/listener for privacy information.

Hour 3: The guys discuss Steph Curry's right knee injury and how that impacts the team down the stretch. Dalton Johnson of NBC Sports Bay Area joins the show to discuss how Kristaps Porzingis fits in with this roster. See omnystudio.com/listener for privacy information.

Vendredi 20 février, la destruction de valeur par l'IA, et la situation géopolitique actuelle, ont été abordés par Jean-François Robin, responsable mondial de la recherche de Natixis CIB, Sébastien Korchia, directeur général et directeur des investissements de Cogefi Gestion, Emmanuel Lechypre, éditorialiste BFM Business, et Virginie Robert, présidente de Constance Associés, reçu par Marc Fiorentino dans l'émission C'est Votre Argent sur BFM Business. Retrouvez l'émission le vendredi et réécoutez la en podcast.

In this episode of Talk Dizzy To Me, vestibular physical therapists Dr. Abbie Ross, PT, NCS and Dr. Danielle Tolman, PT sit down with Kayla McCain, who shares her lived experience with Vestibular Migraine and PPPD (Persistent Postural-Perceptual Dizziness).Kayla opens up about what symptoms she experienced, the long road to getting correctly diagnosed, and the strategies that helped her get back to living life again and rebuilding her confidence. Key Takeaways:-Validation and education reduce fear-Vestibular migraine vs. PPPD presentations -Recovery is often multi-factorial-The “dizzy–anxious-dizzy cycle” is real-Small strategies matter in real life-Advocate for yourselfWhere to find Kayla:nInstagram: @true_kaylaismsHosted by:

In this podcast, Pastor Justin delivers a message on how we must get and stay in unity in order to see breakthrough and victory.Support the show

Nursing education programs across the US continue to face ongoing shortages of nursing faculty. This study examined salary differences between nursing faculty and other nurses using 2022 National Sample Survey of Registered Nurses data and identified specific factors contributing to these disparities. The adjusted annual salary of nursing faculty was $18,346 less than staff nurses, $19,863 less than charge nurses, and $27,526 less than front-line managers. Persistent salary disparities between nursing faculty and other nursing roles discourage nurses from pursuing academic careers. This article is OPEN Access: download the article and share widely.

The steps in between big leaps, like little foot prints in the sand, are what make life worth living. Long strides cover many fronts, but little prints leave big clues. Facilitators, plans, and leadership building strategy. Persistent pressure as granular policy. Looks like organized trade craft in the subversive industry. A power network to bend institutions. The funding chain is simple, but key. Yield Giving is a McKinsey Scott (Bezo's Ex) managed finance vehicle. Out Front Minnesota and Ilhan Omar in her hijab. She meets with gay people her religion would burn. Foul smelling ethics can be technically lawful. Muscle memory for influencing reactions. For many, the zombie training is easy. Players are given a roll, their lane and detailed script. This is groundwork for a general strike. Hiding behind language is false protection from the law. Many of the same lefties are involved in multiple ops. We knew it was going to be a long war. The well financed and planned street opposition is proving that.

The steps in between big leaps, like little foot prints in the sand, are what make life worth living. Long strides cover many fronts, but little prints leave big clues. Facilitators, plans, and leadership building strategy. Persistent pressure as granular policy. Looks like organized trade craft in the subversive industry. A power network to bend institutions. The funding chain is simple, but key. Yield Giving is a McKinsey Scott (Bezo's Ex) managed finance vehicle. Out Front Minnesota and Ilhan Omar in her hijab. She meets with gay people her religion would burn. Foul smelling ethics can be technically lawful. Muscle memory for influencing reactions. For many, the zombie training is easy. Players are given a roll, their lane and detailed script. This is groundwork for a general strike. Hiding behind language is false protection from the law. Many of the same lefties are involved in multiple ops. We knew it was going to be a long war. The well financed and planned street opposition is proving that.

Persistent, unrepentant sexual immorality is not a SIDE ISSUE—it is a SALVATION ISSUE, because it contradicts new life (John 3:3–7) Join One Missoula Church Online for our weekly service, or if you're in Missoula, join us live and in person on Sundays at 9 and 10:30AM at 1714 South Reserve Street.  Search the iOS App Store or Android Play Store for "One Missoula Church" - Sermon notes/bulletin- Download previous messages for viewing at your convenience.  Want to get connected? Fill out our Connection Card!: https://onemissoulachurch.com/connect  Would you like to help reach Missoula? Support the Mission!: https://onemissoulachurch.com/give

Jeff Bliss reports on Las Vegas's growth as Californians relocate there, the continued success of In-N-Out Burger, and the irony of California's beautiful weather amidst persistent economic troubles.1903 SANTA BARBARA

SHOW SCHEDULE 2-11-2026NEVSKY PROSPECT Guest: Mark Clifford. Clifford details the sentencing of British citizen Jimmy Lai to 20 years in prison, arguing China is using the case to signal it will crush any dissent regardless of international prestige. Guest: Mark Clifford. Clifford condemns UK PM Starmer for failing to demand Jimmy Lai's release during his China visit, accusing the leader of prioritizing trade over the safety of British citizens. Guest: Ivana Stradner. Russia employs "TV BRICS" and information warfare to control narratives in the Global South, aiming to undermine Western influence and establish a multipolar world order without using kinetic force. Guest: Simon Constable. As Storm Nills approaches France, Constable reports on rising copper prices and volatile gold, while noting UK PM Starmer faces severe political pressure from opposition parties. Guest: Bob Zimmerman. Persistent hydrogen leaks delay the Artemis 2 mission; Zimmerman questions Administrator Isaacman's move to reduce reliance on private contractors, fearing it may stifle efficiency and innovation. Guest: Bob Zimmerman. Musk announces SpaceX will prioritize the Moon before Mars; regulatory approvals for Starship launches are pending, while Voyager Space secures a management contract for ISS operations. Guest: Bob Zimmerman. Starfish Space wins Pentagon contracts for satellite servicing; a new constellation, Logos, enters the market, while India plans an ambitious lunar sample return mission. Guest: Bob Zimmerman. Scientists link Enceladus to Saturn's aurora; radar data suggests a lava tube exists on Venus, and archives reveal Pluto retains an atmosphere despite its distance from the sun. Guest: Captain James Fanell (Ret.). With carrier groups near Iran and Venezuela, Fanell discusses the threat of anti-ship missiles in choke points and the necessity of naval power to deter adversaries. Guest: Charles Ortel. Ortel highlights strong private sector growth in Malaysia and Indonesia, contrasting it with China's economic struggles and the state's "national team" intervening to prop up markets. Guest: Charles Burton. A mass shooting shocks British Columbia; tensions rise over the Gordie Howe Bridgeownership as Canada seeks to diversify trade away from the U.S. amid protectionist threats. Guest: Charles Burton. Canada lowers tariffs on Chinese EVs to court Beijing; Burton warns this "strategic partnership" ignores security risks regarding data collection and Chinese influence operations. Guest: Craig Unger. Unger explains how Trump's 1980 Commodore Hotel deal involved purchasing TVs from a KGB front. This transaction reportedly initiated contact with Russian intelligence, who identified Trump's vanity and greed as ideal traits for recruitment. Guest: Craig Unger. Trump's 1987 Moscow trip, arranged by the KGB, was followed by newspaper ads criticizing U.S. alliances. Unger claims these ads, echoing Soviet talking points, combined with real estate dangles to seal the recruitment deal. Guest: Craig Unger. Unger highlights two women with Russian intelligence ties who worked for Jeffrey Epstein. He suggests Epstein's operation gathered "kompromat" on elites and questions why the FBI failed to investigate these foreign intelligence connections. Guest: Craig Unger. An interview by a Russian diplomat's daughter released post-election served as a reminder of Trump's recruitment. Unger discusses missing Epstein tapes, potential disinformation, and Putin's continued influence over Trump's foreign policy decisions.

Guest: Bob Zimmerman. Persistent hydrogen leaks delay the Artemis 2 mission; Zimmerman questions Administrator Isaacman's move to reduce reliance on private contractors, fearing it may stifle efficiency and innovation.1940. GODDARD. ROSWELL.

In this episode, we tackle one of the most frustrating and under-discussed parts of ACL rehab: your quad is still smaller months later, and you're wondering if something is wrong. I break down what the research actually shows about quadriceps muscle mass before surgery, immediately after, and even years down the road. We walk through why atrophy starts earlier than most people realize, why surgery creates a second drop, and why full visual symmetry is not guaranteed within 9–12 months. You'll also hear real-world examples from elite athletes, and why even world-class pros with top-tier resources don't always regain identical quad size quickly. We unpack graft type differences, genetics, programming mistakes, and the biological realities that shape muscle recovery. Most importantly, I explain why muscle size and strength are not a perfect one-to-one match using a simple “cup” analogy. Bigger muscle increases potential capacity, but performance depends on more than just volume. If you've been staring at your leg wondering why it still looks different, this episode gives you clarity, normalization, and practical direction on how to approach hypertrophy the right way.Ways we can connect:My IG: www.instagram.com/ravipatel.dptOur website: www.theaclathlete.comEmail: ravi@theaclathlete.com_________________Submit a topic or a question you'd like me to answer.Check out our website and tons of free ACL resourcesSign up for The ACL Athlete - VALUE Newsletter (an exclusive newsletter packed with value - ACL advice, go-to exercises, ACL research reviews, athlete wins, frameworks we use, mindset coaching, blog articles, podcast episodes, and pre-launch access to some exciting projects we have lined up)1-on-1 Remote ACL Coaching - A clear plan. Structured ACL program. Based on your goals. Expert guidance and support with every step. Objective testing from anywhere in the world.Send me a text and share anything about the podcast - an episode that hit home or how the podcast has helped you in your journey.

Guests: Bill Roggio and Bridget Toomey.  The Houthis maintain improved military capabilities despite a temporary lull in attacks, remaining a persistent threat to Red Sea shipping and eager to support Iran if conflict erupts.1969 yemen

In this Follow-Up episode, Dr. Mona revisits one of the most stressful early parenting experiences, an inconsolable newborn. She breaks down what colic actually means, why the label is often misunderstood, and how to tell the difference between normal newborn fussiness and signs that need medical attention. The goal is not to dismiss crying, but to give parents a framework so they feel informed instead of brushed off. Dr. Mona walks through what's happening developmentally in those early weeks, why many babies hit a fussy peak around 6 weeks, and how to run a calm mental checklist at 2 a.m. She also covers red flags that deserve a pediatric visit, from fever to poor feeding to blood in the stool. Most importantly, this episode centers parents. Fussiness is common, phases pass, and support matters. You are not failing if your baby cries and you can't fix it instantly. You are learning your baby in real time. Key takeaways ✔️ Colic is a real pattern of crying, but it should never replace a thoughtful medical check ✔️ Most newborn fussiness peaks between 2 to 8 weeks and improves with time ✔️ Wet diapers, weight gain, and periods of calm are reassuring signs ✔️ Fever in a baby under 2 months always deserves a call to your pediatrician ✔️ Persistent crying with poor feeding, major spit up, or blood in stool needs evaluation ✔️ Not all crying is hunger, babies also cry from overstimulation and adjustment ✔️ Newborns are not spoiled by being held and comforted ✔️ Parents need pauses too, caring for yourself helps you care for your baby Our podcasts are also now on YouTube. If you prefer a video podcast with closed captioning, check us out there and ⁠subscribe to PedsDocTalk⁠. Get trusted pediatric advice, relatable parenting insights, and evidence-based tips delivered straight to your inbox—join thousands of parents who rely on the PDT newsletter to stay informed, supported, and confident. ⁠⁠⁠⁠Join the newsletter⁠⁠⁠⁠! And don't forget to follow ⁠⁠⁠⁠@pedsdoctalkpodcast⁠⁠⁠⁠ on Instagram—our new space just for parents looking for real talk and real support. We love the sponsors that make this show possible! You can always find all the special deals and codes for all our current sponsors on the ⁠PedsDocTalk Podcast Sponsorships⁠ page of the website.  Learn more about your ad choices. Visit podcastchoices.com/adchoices