Podcasts about 1B

Sometimes the real opportunity isn't the property — it's the relationship. In this episode of Investor Impact: Power Talks with Vinney Chopra, Vinod Chopra hosts a mastermind conversation with accredited investors discussing how deals truly unfold in the real world. Vinney, who came to the United States with just $7 and later built a $1B+ real estate portfolio, reminds his InnerCircle investors that the best deals often come from long-term trust and relationships. One investor shares a powerful insight about working with a family that owns multiple properties across a city. At first glance, the opportunity looks like just another deal — but the real value may be opening the door to an entire portfolio of future opportunities. Vinney explains that seasoned investors know how to look beyond the first transaction. In this clip you'll learn: • Why building trust with property owners can unlock future deals • How family-owned portfolios often create hidden opportunities • Why experienced investors always think beyond the first acquisition This is the kind of behind-the-scenes thinking that separates average investors from those who build lasting wealth.

Get the unfiltered memos I send my team as we scale Acquisition.com to $1B+: https://leilahormozi.com/subscribeSide quests or seemingly harmless distractions like unplanned favors, pet projects, or quick fixes can derail execution as a company grows. These tasks don't appear on the roadmap, lack ownership, and often waste valuable resources. In this episode, Leila Hormozi explains how, despite coming from well-intentioned, high-performing team members, side quests pull attention away from what truly matters, slowing progress and stalling key priorities. Leila shares the hard lessons learned from experience, emphasizing that scaling a business isn't about doing more things but doing fewer things and doing them exceptionally well. Her insights will change how you manage priorities, delegation, and focus as your company scales.In this episode00:00 How firing revealed side quests in Leila's company03:32 What are side quests in business?04:26 Why high performers often create the biggest distractions08:48 How founders create side quests11:23 The priority principle for minimizing side quests13:58 Winning in business by doing fewer things wellMore Value:Get your free personalized $100M roadmap here: https://www.acquisition.com/roadmap

Hospitality leadership, hotel asset management, and the art of authentic connection — in this powerful conversation with Greg Winey, we unpack what it really takes to build a thriving hospitality organization. With more than 45 years in the hotel industry, Greg shares how mastering the language of hospitality, leading with genuine human connection, and understanding your financial foundation can transform both your leadership and your business.In this episode, I sit down with Greg Winey — founder and principal of NorthPointe Hospitality Management — a man who started as a bellman in 1979 and went on to lead one of the largest privately held hospitality management companies in the United States. Over his career, Greg has overseen 135 hotels, 5,000 employees, and more than $1B in hotel assets, building a legacy rooted in operational excellence, leadership development, and financial discipline.But what struck me most during our conversation wasn't just the scale of Greg's success — it was the simplicity behind it.Greg reminds us that real leadership is built on connection, not scripts.Kindness can't be automated. Culture can't be faked. And understanding the financial reality of your organization gives you the freedom to stay aligned with the values you started with.We talk about:• How mastering the vocabulary and vernacular of your profession unlocks opportunity• Why scripted hospitality fails but authentic connection wins• The leadership lessons learned from managing 135 hotels and 5,000 employees• How understanding debt, assets, and financial positioning protects your culture• Why the best leaders never stop mentoring the next generation• The simple leadership principles that scale billion-dollar organizationsGreg Winey is the rare kind of leader who truly practices what he preaches — and this conversation is a masterclass for hospitality professionals, entrepreneurs, executives, and anyone who wants to lead people well.If you're in hospitality, leadership, entrepreneurship, or business development… this episode is packed with insights you can apply immediately.

Top Stories of the DayBitcoin's Consolidation Phase: Bitcoin has retreated toward the $71,000 mark after failing to sustain its breakout above $74,000. While market conviction is currently thin, long-term allocators have reportedly been quietly adding to their positions during recent dips.Link: Bitcoin pulls back to near $71,000NYSE Owner Backs OKX: In a landmark deal, Intercontinental Exchange (ICE) has invested in the OKX exchange at a $25 billion valuation. The partnership plans to bring tokenized stocks and new derivatives to the market later this year.Link: NYSE Parent Invests in OKX at $25B ValuationMorgan Stanley Funds AI-Crypto Pivot: Bitcoin miner Core Scientific secured a massive $1 billion loan facility from Morgan Stanley to expand its data centers for high-performance computing and AI workloads.Link: Core Scientific secures up to $1B credit from Morgan StanleyRevolut's Second U.S. Banking Push: Fintech giant Revolut has officially filed for a U.S. banking license for the second time, aiming for direct access to the Fedwire and ACH payment networks.Link: UK Fintech Revolut Applies for US Banking LicenseThe "Seized Crypto" Heist: Authorities in France have arrested the son of a U.S. government contractor, John Daghita, for allegedly stealing $46 million in crypto from seizure wallets managed by his father's company.Link: Authorities nab suspect accused of stealing $46m in cryptoFederal Charter for Stablecoins: Infrastructure provider ZeroHash has applied to the OCC for a national trust bank charter to streamline its regulated stablecoin operations under a single federal framework.Link: ZeroHash Applies to OCC for National Trust Bank CharterGlobal Adoption Milestones: Cardano's ADA is now a payment option at 137 Spar supermarkets in Switzerland, while Kraken has secured limited master account access from the Kansas City Fed.Link: Cardano's ADA Token Now Accepted at Spar Supermarkets Hosted on Acast. See acast.com/privacy for more information.

“The most curious person in multifamily,” Moshe Crane is the VP of Branding and Strategic Initiatives at Sage Ventures, a Maryland-based real estate investment and management firm focused on multifamily and other asset acquisitions and development in the Baltimore-Washington corridor. The company manages more than $1B in assets and over 4,000 apartment units while developing and selling new homes. Moshe also hosts the Curious Wire podcast and writes the Curious Deal newsletter, where he breaks down multifamily deals, careers, and industry trends while exploring how operators build, finance, and scale real estate businesses.(01:45) - Moshe's Real Estate Path(02:32) - Deals Returning to the Market(06:05) - Sage Ventures' Market Focus(07:27) - Defining Great Operators(08:27) - The Third-Party Talent Crunch(10:17) - Systems Beat Stars(12:36) - The Sage Operations Playbook(15:47) - Fraud Screening Tools(19:01) - The Roving Team Mindset(21:05) - Moshe's Role(23:56) - Feature: CREtech New York Oct. 20–21 (25:52) - The Accidental Self-Storage Win(26:41) - Office-to-Storage Conversions(28:21) - A Scrappy Deal Mix(28:58) - Low-Basis Development Opportunities(29:46) - Pitching Flexibility to LPs(30:26) - No Gurus, Just Operators(33:58) - Discipline Over Vertical Integration(36:19) - PropTech Ecosystem Shifts(39:38) - Proptech Adoption(44:42) - Motivation, Curiosity & Faith(49:31) - Collaboration Superpower: Bill Walsh

We discuss Turkey's new government subsidies for game developers and why the country may become one of the most attractive places to build a studio, the uncertain future of WB Games following major media consolidation, and Discord delaying its global age-verification rollout after backlash and regulatory pressure. We also discuss the Misfits seed round from an ex-Supercell/King team, a correction around Tilting Point's recent deal, Playtika surpassing $1B in direct-to-consumer revenue, and Ubisoft reshuffling leadership on Assassin's Creed, along with broader conversation around monetization, web shops, and the state of the games industry heading into GDC.CHAPTERS01:53 LA Dinner and Downtown Vibes02:44 Mishka London Detour04:10 GDC Shilling and Events07:59 Tilting Point Deal Debate11:34 Appcharge Web Store Ad12:27 Misfits Seed Round Breakdown20:45 Turkey Subsidies Update23:17 Paramount Buys WB Fallout28:16 Assassins Creed Leadership Shuffle30:58 Discord Age Verification Backlash34:33 Roblox Lawsuits And Regulation36:25 Playtika DTC Numbers Breakdown38:51 Supercell Web Shop Playbook43:48 Marathon Server Slam Impressions45:07 Sales Forecasts And Sony Stakes50:58 Retention Wipes And Monetization55:23 Skate Layoffs And F2P Trap01:00:39 Gundam Collab And Sony PC Pivot01:03:57 Wrap Up And GDC Plans

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

Breaking through limiting beliefs starts with one decision: refuse to quit. Chris Capuano transformed from broke busboy to seven-figure entrepreneur by converting rock bottom into rocket fuel—and in this episode of Play Big Faster, he hands you the exact mindset framework to do the same. His philosophy, No Ceiling, No Excuses, is the foundation behind businesses that have processed over $1B in payments and a blueprint now captured in his book of the same name. Chris gets tactical on overcoming self-limiting beliefs, escaping perfection paralysis, and building a business that doesn't depend entirely on you. You'll walk away with clarity on hiring for hunger over credentials, auditing your time to detach income from hours worked, and embracing calculated risk as a core growth strategy. His HUSTLE framework reframes personal development as a business tool—because confidence, mindset transformation, and self-improvement aren't soft skills; they're your competitive edge. Whether you're scaling past your first ceiling or still building momentum, Chris proves that the barriers holding you back are ones you constructed. The path forward is simpler than you think: make a decision, commit, and don't look back. Listen now and start playing bigger.  

Join Michael Newton, CEO of Qorium, for a visionary conversation on the power of synthetic biology to reshape our material world. With a track record of scaling products to over $1 billion in annual turnover at Nike, Michael is now leading the charge in cellular agriculture. In this episode, we explore the immense promise of synthetic biology, why Qorium's unique approach to lab-grown leather is a game-changer for the planet, and how we can re-engineer global value chains for a sustainable future.

✔️ Bitcoin mean reversion is a restoring drift.✔️ US Bitcoin ETFs have recorded $1.4 billion in inflows✔️ Kraken becomes first crypto bank to receive a Federal Reserve master account ✔️ Morgan Stanley issues new SEC filing for a spot Bitcoin ETF✔️ JP Morgan is having its Blockbuster moment✔️ Chinese EV company signs $1B deal to acquire 10,000 BTC via equity.✔️ Bitwise donating from its ETF profits to Bitcoin developers✔️ Sources:► https://x.com/david_eng_mba/status/2029289939456933934► https://x.com/BitcoinNewsCom/status/2029232148817825829► https://x.com/bitcoinmagazine/status/2029173825829470346?s=52&t=CKH2brGypO5fEYTgQ-EFhQ► https://x.com/BitcoinNewsCom/status/2029270212650918009► https://blog.kraken.com/news/federal-reserve-master-account► https://x.com/bitcoinmagazine/status/2029186176452599967?s=52&t=CKH2brGypO5fEYTgQ-EFhQ► https://www.ainvest.com/news/morgan-stanley-bitcoin-etf-filing-tactical-custody-bet-strategic-misstep-2603/► https://x.com/iiicapital/status/2029026457943515469?s=52&t=CKH2brGypO5fEYTgQ-EFhQ► https://x.com/patrickjwitt/status/2029019502554251704► https://x.com/cointelegraph/status/2029195394945552668?s=52&t=CKH2brGypO5fEYTgQ-EFhQ► https://x.com/bitcoinmagazine/status/2029256061543133663?s=52&t=CKH2brGypO5fEYTgQ-EFhQ► DONATE TO HELP KEONNE AND BILL https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools✔️ Check out Our Bitcoin Only Sponsors!► https://archemp.co/Discover the pinnacle of precision engineering. Our very first product, the bitcoin logo wall clock, is meticulously machined in Maine from a solid block of aerospace-grade aluminum, ensuring unparalleled durability and performance. We don't compromise on quality – no castings, just solid, high-grade material. Our state-of-the-art CNC machining center achieves tolerances of 1/1000th of an inch, guaranteeing a perfect fit and finish every time. Invest in a product built to last, with the exacting standards you deserve.► Join Our telegram: https://t.me/theplebunderground#Bitcoin #crypto #cryptocurrency #dailybitcoinnews #memecoinsThe information provided by Pleb Underground ("we," "us," or "our") on Youtube.com (the "Site") our show is for general informational purposes only. All information on the show is provided in good faith, however we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information on the Site. UNDER NO CIRCUMSTANCE SHALL WE HAVE ANY LIABILITY TO YOU FOR ANY LOSS OR DAMAGE OF ANY KIND INCURRED AS A RESULT OF THE USE OF THE SHOW OR RELIANCE ON ANY INFORMATION PROVIDED ON THE SHOW. YOUR USE OF THE SHOW AND YOUR RELIANCE ON ANY INFORMATION ON THE SHOW IS SOLELY AT YOUR OWN RISK.

Most business owners don't realize they're building an exit they can't afford. In this episode of Sharkpreneur, Seth Greene interviews Marc Adams, Strategy Mentor & Business Exit Planner at Acquisitions4You, who shares how his work has helped provide $22B in funding support and why he now focuses on helping founders double business value in 12 months or less. After a stage-four cancer diagnosis during the pandemic and a life-changing conversation with his son, Marc pivoted his mission toward helping the “nine out of ten” owners who never get the outcome they need. He explains the Double and Keep It framework, designed to grow value fast while protecting owners from the usual traps of dilution, debt burdens, and painful exit costs. Key Takeaways:→ Most business owners don't get the value they expect when it's time to sell.→ Exit-math can be brutal, especially in states with high taxes. → Traditional private equity doesn't solve the real problem. → The “double and keep it” framework aims to achieve value growth without dilution or debt service. → This framework is meant to create a real retirement-grade exit. Marc Adams is a strategy mentor and business-exit planner who helps founder-led companies double enterprise value in 12–24 months and structure tax-efficient exits without heavy dilution or personal guarantees. He's helped take a company from roughly $140M to a $1B valuation and led a loss-making $18M-revenue business to a $140M exit. A bestselling author with Times Square features, Marc works closely with family offices and private capital, providing founders with a practical, buyer-aligned playbook for value creation, clean diligence, and better after-tax outcomes. Connect With Marc:Website: https://acquisitions4you.com/LinkedIn: https://www.linkedin.com/in/1marcadams/

This week on Quiet Please Golf Podcast, we wrap up the Cognizant Classic in The Palm Beaches and break down the late stumble from Shane Lowry — what’s the mindset in those moments, and what does it mean for him moving forward? We also look at the composure of Nico Echavarria, who battled through the Bear Trap, and preview storylines heading into the Arnold Palmer Invitational. Off the course, the business of golf gets interesting as McLaren steps into the game with McLaren Golf while Topgolf reportedly loses nearly $1B in valuation. And the global tour drama continues as Jon Rahm calls out the DP World Tour, labeling its penalties “extortion.”See omnystudio.com/listener for privacy information.

Listen & subscribe on Apple, Spotify, YouTube.Welcome everyone to the weekly San Diego Tech News!I'm Neal Bloom from Rising Tide Partners.My co-host in this episode is Fred Grier, journalist and author of The Business of San Diego substack. He covers the ins-and-outs of the startup world including breaking news, IPOs, fundraising rounds, and M&A through his newsletter.Before we dive in, we wanted to thank and ask our listeners to help us grow the show, leave a review and share with one other person who should be more plugged in with the SD Tech Scene. Thank you for the support and for helping us build the San Diego Startup Community!2/22* SD Wind Tunnel Debrief* Biotech Mixer Debrief* Cal AI acquired* Atrium Spins out from Novartis with $270M* Tandem Diabetes bests $1B in sales* Software programs decline except at ucsd* https://x.com/aakashgupta/status/2024710361950384531?s=20* Fred named to SDBJ Black Leaders of InfluenceCurated Events List – For full list – check The Social Coyote* SDAC Founder Applications are due this Thursday March 5* SD Founders Hike March 6* SD Angel Academy March 6* Alliance Societal Impact - Family Office Summit March 15-16* March Mingle March 25 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

Our 235th episode with a summary and discussion of last week's big AI news!Recorded on 02/27/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Model and tool updates highlight Anthropic's Sonnet 4.6 (1M context; strong ARC-AGI-2 results), Google's Gemini 3.1 Pro (major ARC-AGI-2 jump and multimodal demos), xAI's Grok 4.2 beta (multi-agent debate), plus Anthropic's Claude Code “Remote Control” and Perplexity's multi-agent “Computer” coordinator.Compute and business moves include Meta's reported up-to-$100B AMD chip deal with warrant/equity incentives, MatX raising $500M to build specialized transformer chips shipping in 2027, World Labs raising $1B for world-model/3D environment tech, and a new startup raising $100M to simulate/predict human behavior.Infrastructure and geopolitics cover Stargate data-center delays amid OpenAI/Oracle/SoftBank control disputes and cash concerns, and China's plan to scale 7nm/5nm wafer output despite yield and tooling constraints.Research and safety/policy discuss optimizer gains from masked updates, “deep thinking tokens” as a reasoning-effort signal, LLM attractor-state behaviors in bot-to-bot chats, mechanistic interpretability of counting/line-wrapping, methods to map task difficulty to human time horizons, plus Anthropic–Pentagon contract tensions, Anthropic's report on distillation attacks (DeepSeek/Moonshot/Minimax), and OpenAI's report on disrupting malicious use.A thank you to our current sponsors:Box - visit Box.com/AI to learn moreODSC AI - go to odsc.ai/east and use promo code LWAI for an additional 15% off your pass to ODSC AI East 2026.Factor - head to factormeals.com/lwai50off and use code lwai50off to get 50 percent off and free breakfast for a yearTimestamps:(00:00:10) Intro / Banter(00:01:52) News PreviewTools & Apps(00:03:20) Anthropic releases Sonnet 4.6 | TechCrunch(00:11:24) Google Rolls Out Latest AI Model, Gemini 3.1 Pro - CNET(00:14:54) Elon Musk says Grok 4.20 public beta is now available: Capabilities of AI chatbot offered by xAI - The Times of India(00:18:06) Anthropic just released a mobile version of Claude Code called Remote Control | VentureBeat(00:21:01) Perplexity announces "Computer," an AI agent that assigns work to other AI agents - Ars TechnicaApplications & Business(00:23:40) Meta strikes up to $100B AMD chip deal as it chases 'personal superintelligence' | TechCrunch(00:27:05) Nvidia challenger AI chip startup MatX raised $500M | TechCrunch(00:31:00) World Labs lands $1B, with $200M from Autodesk, to bring world models into 3D workflows | TechCrunch(00:33:07) Simile Raises $100 Million for AI Aiming to Predict Human Behavior(00:33:52) Stargate AI data centers for OpenAI reportedly delayed by squabbles between partners — sources say OpenAI, Oracle, and SoftBank disagreed on who would have ultimate control of the planned data centers(00:36:43) China to increase leading-edge chip output by 5x in two years, report claims — aims to lift 7nm and 5nm production to 100,000 wafers per month, targeting half a million monthly by 2030Research & Advancements(00:40:33) On Surprising Effectiveness of Masking Updates in Adaptive Optimizers(00:48:03) Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens(00:54:52) models have some pretty funny attractor states(01:01:41) When Models Manipulate Manifolds: The Geometry of a Counting Task(01:05:16) BRIDGE: Predicting Human Task Completion Time From Model Performance(01:12:00) NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist(01:13:15) The least understood driver of AI progress(01:21:45) The Persona Selection Model: Why AI Assistants might Behave like HumansPolicy & Safety(01:25:04) Anthropic CEO Amodei says Pentagon's threats 'do not change our position' on AI(01:33:04) Musk's xAI, Pentagon reach deal to use Grok in classified systems(01:34:17) Detecting and preventing distillation attacks(01:38:36) OpenAI details expanding efforts to disrupt malicious use of AI in new report - SiliconANGLESee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Market update for Tuesday March 3, 2026Check out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode:Oil and gas jumps from Strait of Hormuz disruptionTarget forecasts sales growth for the first time in three yearsBest Buy beats on profits despite soft holiday salesApple kicks off a major product wave this weekPinterest pops after a $1B investment from activist Elliott ManagementOn Holding tumbles on slower 2026 growth outlookFun Fact: 40% of Americans didn't read a single book last year

Brady is back on a Tuesday, talking about some revised opinions around Kade Anderson and his potential timeline for debut. Also, Buster Olney agrees with Brady on Anderson and Ryan Sloan's impact on the future, but he offers an interesting organizational comparison for the Mariners too.Also, with the WBC guys gone, what are five storylines to watch in spring training? And Brady plays his interview with former M's 1B and current 93.3 KJR radio host Bucky Jacobsen from spring training!And we've partnered with Seahawks Roundtable to give away a Jaxon Smith-Njigba jersey. JOIN both our FREE communities to be eligible! 

Leaders Are Built in the Blur.Jed Ayres, CEO of ControlUp, told me something most leaders won't say out loud:Clarity usually comes after you move, not before.If you're waiting for the perfect signal…You're already late.That “responsible” decision you're about to make?It might be the very thing slowing your flywheel before it ever turns.We talked about what it really takes to move when things aren't clear:- When the leader (who drove 600% revenue growth in three years and a $1B valuation) believes the safe decision becomes the most dangerous one.- How a former dishwasher turned hotel owner turned tech CEO learned to scale transformation — long before collecting 10,000 metrics every three seconds.- What six Ironmans teach you about pushing when nothing feels like it's moving.There's a mental shift required when you can't see the finish line.Many leaders miss it.So consider "Are you leading…or too focused protecting your downside?"Have you ever confused “responsible” with fear?-----Learn more about Jed and his organization here:https://www.controlup.com/-----Connect with the Host, #1 bestselling author Ben FanningSpeaking and Training inquiresSubscribe to my Youtube channelLinkedInInstagramTwitter

This episode is brought to you by PPV.COM! (0:00) - Intro  (4:18) - Frank Warren is suing Sela, TKO for $1B  (22:23) - Conor Benn is fighting Regis Prograis  (40:44) - Ring Magazine under scrutiny  (46:12) - Emanuel Navarette vs. Sugar Nunez preview

Andrew Arons thinks it might be time to buy the dip on some stocks. His picks include Netflix (NFLX) as it rises after losing out on Warner Bros. Discovery (WBD). He thinks AMD Inc. (AMD) looks cheap right now; he doesn't believe we're in an AI bubble and anticipates strength in the next few years. Cava (CAVA) is his last pick, and he notes it surpassed $1B in revenue and is expanding aggressively, “following the Chipotle playbook.”======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

The ad market is starting to look like a three-body problem: streaming growth, linear decline, and event-driven spikes (sports + politics) — all colliding as deal rumors swirl around Warner Bros. Discovery (WBD).Kate Scott-Dawkins hosts Jeff Foster and Nidhi Shah (WPP Media Business Intelligence) to break down Paramount and WBD earnings: Paramount+ up 17% with 78.9M subs, Pluto TV down 16% on monetization headwinds, and WBD streaming ad revenue up 20% (just over $1B) with 131.6M global streaming subscribers — plus the aftershock of losing NBA rights and the looming NFL renewal.They also scan Europe's pressure points (TF1, Atresmedia) as broadcasters raise streaming ad minutes and broaden advertiser access, then look at TelevisaUnivision (U.S. ad softness, tentpole demand, political and World Cup tailwinds). Finally: Mercado Libre's +67% ad growth and why shifting tariffs and de minimis rules are complicating 2026 planning.00:00-Deal rumor backdrop, tariffs uncertainty, what's on the docket01:13-Paramount earnings: DTC growth, Pluto monetization slump, ad declines07:07-Sports and NFL renewal: why local reach still matters08:06-Warner Bros. Discovery: streaming ads +20%, subs 131.6M, NBA loss fallout13:08-Europe: Atresmedia & TF1 declines, streaming monetization and ad-load strategy16:30-TelevisaUnivision: US down, Mexico steadier, political + World Cup tailwinds19:17-Mercado Libre +67% ads, retail media momentum, tariffs and de minimis “whack-a-mole”23:37-Next week's earnings and podcast recommendationsPost-recording update: WBD's board deemed Paramount Skydance's sweetened offer “superior” to the $83B Netflix deal; Netflix will not match and has withdrawn.Advertising Intelligence Framework: https://www.wppmedia.com/thought-leadership/research-business-intelligence/advertising-intelligence-framework-first-edition?utm_source=media_intelligence&utm_medium=podcast

This episode is brought to you by PPV.COM! (0:00) - Intro  (4:18) - Frank Warren is suing Sela, TKO for $1B  (22:23) - Conor Benn is fighting Regis Prograis  (40:44) - Ring Magazine under scrutiny  (46:12) - Emanuel Navarette vs. Sugar Nunez preview

Denver fix and flip margins are shrinking, condo inventory just hit 11 months, and some DSCR lenders are approving loans at 0.75 debt service coverage. That’s not a typo. For anyone trying to get a clear Colorado real estate outlook for 2026, the signals are mixed — and most of them you won’t find in the MLS. To help make sense of it all, Chris Lopez sits down with Kevin Amolsch, founder of Pine Financial, a Colorado private lender that has originated over $1 billion in loans across 2,800 transactions since 2008. Beyond lending, Kevin is actively buying commercial buildings, demising flex warehouse space in Broomfield, and stripping cellular tower leases off office properties the way some investors strip mineral rights. As a result, he has a front-row seat to what’s actually working — and what’s quietly blowing up. In this episode, Kevin shares what Pine’s current deal flow reveals about the Colorado real estate outlook for 2026 and why he’s moved away from residential toward commercial assets. He and Chris also have a candid back-and-forth on the Denver price forecast — Kevin expecting flat, Chris leaning slightly negative. From there, they dig into why the condo and attached product market may be the riskiest place to be right now. In This Episode We Cover: Why Kevin sees fix and flip margins compressing — and what experienced flippers are doing about it The DSCR loan warning every Colorado investor needs to hear before refinancing a BRRRR Kevin’s honest breakdown of Denver’s 2026 price outlook: detached, attached, and multifamily How Kevin is stripping cellular leases off his office building like mineral rights — and what they sell for Why ground-up townhome development is struggling and what the 11-month condo inventory actually means The 10-year treasury vs. risk spread explained clearly, and what Trump’s MBS buying could actually do Why Kevin is price-checking his subs and vendors right now — and why you probably should be too If you’re trying to get a clear Colorado real estate market outlook for 2026 — and figure out what moves actually make sense right now — this is the episode to listen to. Watch the YouTube Video https://youtu.be/rWL6gxboybg Timestamps 00:00 – Welcome & Kevin Amolsch Introduction – Pine Financial founder returns  01:20 – Pine Financial Overview – $1B+ in originations, 2,800 transactions, $250M under management  03:20 – New Office Building in Littleton – Bought 24,000 sq ft Wells Fargo building at 7 cap  05:59 – Cellular Lease Strategy – Stripping tower leases like mineral rights, sells at 3.5–4.5 cap  07:33– Office Rehab Lessons – Why Office-to-Apartment Conversions Are So Hard  10:33 – Broomfield Flex Warehouse Deal – 18,000 sq ft, 4 small-bay suites, recovering a troubled partnership  12:27– Fix and Flip Market Right Now – 10% discounts on wholesale deals, six-figure rehab budgets  15:40 – Flipper Margins Shrinking – Why experienced investors won’t touch a deal under $100K net  19:24– Denver Price Forecast for 2026 – Kevin: flat on detached. Chris: slightly negative (1–3%)  21:49 Condo Market Warning – 11 months of inventory, why Kevin calls it riskiest asset class right now  22:42– Multifamily Supply Glut and When It Burns Off – Vacancy near 10%, stabilization likely 2027  25:53– DSCR Loan Landscape – Loans at 0.75 DSCR, five-year prepay traps, what to watch for  27:44– BRRRR Reality Check – Cash-in refinances are common now, full pulls are rare  29:27– Ground-Up Construction Struggles – Why new townhome developments are sucking wind  33:26– Interest Rate Mechanics Explained – 10-year treasury vs. risk spread, Trump MBS buying  36:00 – Macro Outlook: Rates, Fed Chair, Unemployment – Why Kevin expects just one cut in 2026 Connect with our Guests Kevin Amolsch kevin@pinefinancialgroup.com Links in Podcast ATTOM Property Data Pine Financial

Vicki Dobbs Beck, the former head of ILMxLab and a 34-year veteran of Lucasfilm/Disney, joins Charlie Fink, Ted Schilowitz, and Rony Abovitz for a candid look back at her incredible career navigating the tech and cultural shifts inside one of Hollywood's most powerful empires. Though she announced her retirement, it was quickly delayed to take an interim lead position at the George Lucas Educational Foundation's Lucas Learning, focusing on project-based simulations for middle school—a return to a career passion she started in the early 90s.Vicki shares the core, "rebel alliance" strategy that made ILMxLab a success—sustained innovation, industry acknowledgment, and financial self-sufficiency—and tells the terrifying story of pushing the Quest 1 headset to its absolute limits for the launch of Vader Immortal. She discusses the crucial lessons learned from pivoting the development to center the player in the story, transforming the experience from a "spatial film" to a personal journey, and the importance of slowing the pacing down for a new art form like VR.Before the interview, the hosts dissect a week of massive raises in AI (World Labs' $1B, Recursive Intelligence's $335M), the strategic shifts of tech giants like Palantir to Miami, and the intensifying race in wearables with Apple, Meta, and OpenAI all developing new devices like pendants and glasses.Key Moments00:03:17 – World Labs & Unity AI: Discussing the $1B World Labs raise for 3D world generation and Unity's plans to build AI into its game engine to make it accessible to non-developers.00:06:11 – The Miami Tech Hub: Rony Abovitz on why founders like Zuckerberg, Bezos, Larry, and Sergei are moving to Miami—it's more than just taxes, it's about a new “America strategy.”00:12:30 – Apple Watch as Wearables Base: Ted Schilowitz argues Apple already has the micro-technology (from the Apple Watch) to dominate the wearables space, but the underperformance of Siri held them back.00:27:00 – LaserDisc Learning: Vicki's early career in Lucasfilm Learning using cutting-edge but bulky computer-driven laser disc players for educational multimedia.00:28:57 – VR is 'Outsized': Ted's thesis that immersive technology has historically been overfunded and over-expected to return a profit, contrasting with the "rebel alliance" approach.00:34:45 – The Quest 1 Launch Scare: The terrifying moment before the Vader Immortal launch when a tiny software update broke the app because ILMxLab had pushed the Quest hardware to its absolute maximum.00:42:11 – The Void & Full VR Power: Charlie, Ted, and Vicki discuss why location-based VR like Star Wars: Secrets of the Empire (The Void) represents the exotic, "Ferrari version" of VR that most commercial users never experience.This conversation is a masterclass in pioneering entertainment technology. Vicki Dobbs Beck's experience shows that the path to a sustainable, breakthrough product like Vader Immortal requires a clear, rebel-alliance-style strategy, a willingness to pivot on core design principles (spatial film vs. player-centric experience), and a deep understanding of the hardware's limits—or lack thereof. It highlights the essential tension between commercial scale and the pursuit of the 'ultimate' immersive experience.Catch the AI XR Podcast where you get podcasts and watch full video episodes on YouTube. https://youtu.be/vguuHDmaSbsThis episode of The AI XR Podcast is brought to you by Zappar, the folks behind Mattercraft. Mattercraft is the leading visual development environment for building immersive 3D web experiences for mobile, headsets, and desktop, and now features an AI assistant to help you design, code, and debug in real time right in your browser. Start building smarter at mattercraft.io. Listen and subscribe to The AI XR Podcast wherever you get your shows.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode Overview:In this episode, Alex Rawlings speaks with Richard Fitzgerald of CapitalSpring, a private equity firm specializing in foodservice and multi-location consumer businesses. Richard shares insights into CapitalSpring's differentiated, sector-focused approach, how they've scaled over 20 years, and the recent $1B+ exit to Bain Capital. He also unpacks their latest fundraising success in a tough market and the importance of specialization in today's crowded PE landscape.Timestamps & Key Topics:00:00 – Introduction Overview of CapitalSpring's focus and two key topics: fundraising success and a $1B+ exit.00:54 – Richard's Background From investment banking to founding CapitalSpring in 2005 with a sector-specialist mindset.03:19 – Why Multi-Location Businesses? Opportunities found on Main Street—resilient, everyday consumer services often overlooked in PE.04:43 – Starting Small, Scaling Big CapitalSpring began with $3M; now 300 investments and $4B deployed across 100+ brands.06:30 – Specialization as a Differentiator Why generalist firms struggle, and how deep focus wins deals without being the highest bidder.08:55 – $1B+ Exit: Sizzling Platter to Bain Capital Growth from 400 to 800+ locations across multiple brands and markets, despite COVID headwinds.14:03 – Key Learning: Labor-Light Models Pandemic emphasized the value of operational efficiency and low labor reliance in QSR investments.15:27 – Fund VII: First Close Success How CapitalSpring raised in a tough market by showcasing portfolio resilience and a hybrid debt/equity model.17:44 – Hybrid Capital Strategy Flexibility to invest via debt, equity, or both—offering solutions to founders and mitigating risk for LPs.20:04 – Book Recommendation: Give and Take by Adam Grant The power of relationships in PE—not just financial modeling.21:57 – Connect with Richard Email: rfitzgerald@capitalspring.com | LinkedIn & website via CapitalSpring.Top Takeaways:Specialization is key in today's competitive PE environment.Hybrid investing (debt + equity) offers flexibility and downside protection.Operationally light, multi-unit businesses prove resilient—even in crises.Long-term success in PE depends on relationships, not just technical skills.Raw Selection partners with Private Equity firms and their portfolio companies to secure exceptional executive talent. We focus on de-risking executive recruitment through meticulous search and selection processes, ensuring top-tier performance and long-term success.

The Supreme Court just tossed a Reverse Uno Card on Trump's tariffs… Trade War over?Nestle is selling off its $1B ice cream biz… because everyone loves ice cream, except CFOs.What's that mystery brand everyone wore at the Olympics?... It's ACG, and it's actually Nike.Plus, rivals Sam Altman and Dario Amodei refuse to hold hands… so we found the 1st handshake in history: 900 BC$NKE $NSRGY $SPY Buy tickets to The IPO Tour (our In-Person Offering) TODAYAustin, TX (2/25): SOLD OUTArlington, VA (3/11): https://www.arlingtondrafthouse.com/shows/341317 New York, NY (4/8): https://www.ticketmaster.com/event/0000637AE43ED0C2Los Angeles, CA (6/3): SOLD OUTGet your TBOY Yeti Doll gift here: https://tboypod.com/shop/product/economic-support-yeti-doll NEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

Episode 416 of The VentureFizz Podcast features Colin Raney, Co-Founder & CEO of Ray. Here's a "did you know - fun fact” for you. Studies show that 90 minutes of strength training a week adds four years to your lifespan! Who knew??? At least I didn't, until I was doing research for this podcast. I have to admit, I have a pretty good workout routine while I'm home between cardio and lifting dumbbells, but when I'm traveling… forget about it. For whatever reason, I just have a mental block where I'm just not motivated to work out. This is just one of the many great use cases for how Ray helps. It is an AI native fitness app that behaves more like a personal trainer as it changes and adapts based on what the consumer needs by continuously learning from your feedback, preferences, and performance. Ray's co-founders are Colin and Rich Miner, who is a serial entrepreneur, investor, and co-founder of the Android operating system. The company is backed by Founder Collective, True Ventures, and other angel investors. In this episode of our podcast, we cover: * Colin's background story growing up in Texas and how he got his career started in software engineering and then product management. * Going back to business school at Carnegie Mellon and how he fell in love with design. * How he landed at IDEO and later ran the firm's Cambridge studio. * Joining Formlabs as CMO in the early days of the company and the story of the launch of the Form 2 printer. * Meeting TJ Parker and Elliot Cohen, the founders of PillPack and later joining as the company's CMO… plus the full story to their acquisition by Amazon for a reported $1B. * All the details about Ray and a demo of the product. * His thoughts around branding and consumer marketing in the era of AI. * And so much more!

A majority of Gen Z voters in New York backed Zoran Mamdani. One month later? Property taxes up. Police cuts. Budget chaos. Tara breaks down the math, the promises, the Florida comparison, and why socialism always runs out of other people's money.

Listen & subscribe on Apple, Spotify, YouTube.Welcome everyone to the weekly San Diego Tech News!I'm Neal Bloom from Rising Tide Partners.My co-host in this episode is Fred Grier, journalist and author of The Business of San Diego substack. He covers the ins-and-outs of the startup world including breaking news, IPOs, fundraising rounds, and M&A through his newsletter.Before we dive in, we wanted to thank and ask our listeners to help us grow the show, leave a review and share with one other person who should be more plugged in with the SD Tech Scene. Thank you for the support and for helping us build the San Diego Startup Community!2/18TechCon Southwest DebriefFund raises:Shield AI - possibly raising $1B on $12BSeasats $20M Series A raise Karmel Capital new fundPlantible FDA ApprovalCurated Events List – For full list – check The Social CoyoteSD Gaming Tech Leaders Gathering - Feb. 24Biocom Investor Conference - Feb. 24-26SD Angel Academy - March 6 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

On this episode of Investor Connect, Hall welcomes Barry, who presents a medical device focused on improving treatment for hydrocephalus, a condition caused by excess fluid in the brain. Barry describes the current standard approach—ventricular-peritoneal shunts that drain fluid from the brain to the abdomen using a long rubber tube—and outlines key issues including infection, clogging, and siphoning that can over-drain the brain. He notes a 40% first-year reintervention rate, with roughly $1B in first-year reintervention costs and about $3B in annual overall health system costs, and explains that patients typically face a lifetime of revisions averaging about 10 surgeries. Barry explains their alternative approach, "physiologic shunting," which drains cerebrospinal fluid into part of the venous system and is placed entirely on the cranium, avoiding the long-tube failure points. The procedure is described as a 15–30 minute implant that can be done under local anesthesia, requires no navigation/robotics, uses standard neurosurgical tools, and is designed for constant, self-regulating flow. He positions the device as a Class II de novo/510(k) pathway and says the team has had two FDA pre-submission meetings, is currently in sheep animal studies, and plans a GLP study later in the year to support an IDE for human use. Barry shares market context: the U.S. hydrocephalus shunt market is about $170M annually with around 100,000 surgeries per year, including about 70,000 revisions; worldwide the market is about $500M. He argues a more reliable device could rapidly capture the revision market and notes the current market is dominated by Medtronic and Integra. He also discusses an additional opportunity in normal pressure hydrocephalus (NPH) in patients over 65, stating there are about 700,000 diagnosed in the U.S. and only 1% receive shunts despite symptom improvement. Barry states the company has raised $2.5M to date and is seeking an additional $2.5M via convertible note to reach a first-in-human pilot targeted around 2025, with initial offshore pilots potentially in South America or Australia. Barry is a medical device industry professional who presents a cranial implant designed to simplify hydrocephalus management and reduce revision surgeries. He emphasizes the device's ease of training for neurosurgeons, multiple cranial placement locations, and a "no bridges burned" approach where the implant can be removed and replaced through a small skin incision if needed. Barry describes a competitive landscape that includes one competitor pursuing an endovascular technique, while his team's approach is a surgical technique intended to be safer, simpler, and not dependent on specialized equipment. He also discusses manufacturing readiness, stating a supplier/contractor has been identified and that devices used in animal studies meet sterility and related standards. Barry discusses the shortcomings of current shunts, the company's physiologic shunting approach, the regulatory and study plan toward first-in-human use, the funding raise, and the market opportunity—especially capturing the large revision segment and potential expansion into normal pressure hydrocephalus. ________________________________________________________________________ For more episodes from Investor Connect, please visit the site at: http://investorconnect.org Check out our other podcasts here: https://investorconnect.org/ For Investors check out: https://tencapital.group/investor-landing/ For Startups check out: https://tencapital.group/company-landing/ For eGuides check out: https:/_/tencapital.group/education/ For upcoming Events, check out https://tencapital.group/events/ For Feedback please contact info@tencapital.group Please follow, share, and leave a review. Music courtesy of Bensound.

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Chris Hallberg is a high-energy, straight-shooting coach who thrives on helping teams pursue something special. His philosophy is simple: go big—if not, go medium—but never settle or walk away. With more than 11 years of full-time experience implementing the Entrepreneurial Operating System (EOS), Chris has seen firsthand what’s possible when teams commit to clarity, discipline, and execution. He credits the grit, resilience, and passion of the organizations he works with for overcoming real obstacles and achieving meaningful wins in the face of adversity. EOS works when leaders want it to—and the results speak for themselves. A significant number of Chris’s clients have been recognized as a “Best Place to Work” more than 100 times combined, based on rigorous employee engagement surveys that often require 90+ percentile scores. These organizations consistently build world-class cultures alongside exceptionally profitable outcomes for all stakeholders. Chris primarily works with privately held, entrepreneurial organizations that aspire to be great—leaders willing to make tough people decisions, have honest conversations, and lead with kindness. His clients typically range from $10M to $1B in annual revenue and include parent companies, family offices, and private equity firms seeking stable, consistent growth. He is also the Founder and President of GoExpand, an officially licensed EOS software platform.See omnystudio.com/listener for privacy information.

There are multiple pathways into the RIA model.Each with pros and cons.One of the pathways is to join an existing RIA.When I first note the latter to advisors, there is often a misconception about what that entails.I'll often hear… “I don't want to sell my practice.”That “flavor” of RIA exists, but it's by no means the only flavor available.In fact, there are over a dozen variables that distinguish one RIA from another.Some RIA offerings will be of no interest to you, whereas others could be very appealing.In this episode (#142) of the Transition To RIA question & answer series I explain how to evaluate an RIA to potentially join.Come take a listen!P.S. Prefer video? You can find this entire series in video format on Youtube. Search for the TRANSITION TO RIA channel.Show notes: https://TransitionToRIA.com/how-do-i-evaluate-an-ria-to-join/About Host: Brad Wales is the founder of Transition To RIA, where he helps financial advisors between $50M and $1B understand everything there is to know about WHY and HOW to transition their practice to the Registered Investment Advisor (RIA) model. Brad has 20+ years of industry experience, including direct RIA related roles in Compliance, Finance and Business Development. He has an MBA and has held the 4, 7, 24, 63 & 65 licenses. The Transition To RIA website (TransitionToRIA.com) has a large catalog of free videos, articles, whitepapers, as well as other resources to help advisors understand the RIA model and how it would apply to their unique circumstances.

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Today's blockchain and crypto news Bitcoin is up slightly at $67,432   Ethereum is up slightly at $1,981 And Binance Coin is up slightly at $615 Two Abu Dhabi-based funds disclosed over $1B in BlackRock's IBIT Zora to launch attention markets Bridge says it has conditional approval from the OCC Moonwell takes on bad debt in oracle error. Ark Invest adds COIN, Bullish. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send a textIdaho ranks 50th in physicians per capita and 44th in primary care access. So what's the real plan to fix it?In this episode, I sit down with Representative Dustin Manwaring to break down Idaho's Undergraduate Medical Education (UME) strategy, the proposed 36-month rollout, and how it intersects with the $1 billion Rural Health Transformation Grant.We talk through the core problem the working group set out to solve and what “Train Here, Stay Here, Grow Here” actually means in practice and how it connects with workforce pipelines, residency expansion, and long-term retention?We also dig into the definition of “rural.” Critical access hospitals? Small towns near metro hubs? Urban hospitals that support rural areas? How the taskforce defines rural will shape who benefits and how federal dollars are distributed.Plus:How the UME plan intersects with the $1B rural investmentWhat legislators are watching to ensure accountabilityWhether Idaho's low resident-to-medical-student ratio limits retentionThe future of WWAMI and how new legislation could shift seat allocationsWhether Idaho eventually needs its own full medical schoolIf this plan works, what will Idaho's physician landscape look like 10 years from now?This is a forward-looking conversation about workforce, access, and how policy decisions today shape healthcare for the next generation.Find Alexis on Instagram and JOIN in the conversation: https://www.instagram.com/the_idaho_lady/ JOIN the convo on Substack & STAY up-to-date with emails and posts https://substack.com/@theidaholady?r=5katbx&utm_campaign=profile&utm_medium=profile-page Send Alexis an email with guest requests, ideas, or potential collaboration.email@thealexismorgan.comFind great resources, info on school communities, and other current projects regarding public policy:https://www.thealexismorgan.com

Market update for Wednesday February 18, 2026 Check out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode, Zaid covers:Berkshire Hathaway slashes Amazon stake, trims AppleGold and silver pull back after recent runMeta strikes multiyear deal to buy millions of Nvidia AI chipsUber invests $100M in autonomous vehicle charging hubsCaesars jumps on Vegas reboundSandisk falls after Western Digital announces $3.1B share saleRecord CEO turnover hits Corporate America, and leaders are getting younger

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

In this conversation, Justin pulls back the curtain on what actually makes a business last. Not hacks. Not virality. Not chasing quick wins. He talks about learning to solve real problems—the kind that keep people up at night—and why most “good ideas” fail because they never go deep enough. He shares how he tracks progress, how he thinks about money and energy, and why optionality matters more than speed.You'll hear why action creates momentum, why saying “yes” changed the trajectory of his career, and how building a runway, relationships, and clarity gave him the freedom to reinvent himself—again and again.This isn't an episode about getting rich fast.It's about building something honest.Something sustainable.Something that still works when the hype fades.And if you've ever felt like you're meant for more—but can't quite name what that is—this conversation might help you take the next step.Chapters:0:00 — Introduction1:31 — The “brewery dream” + why you haven't started (yet)4:29 — Why Justin shifted from tactics to deeper storytelling8:21 — Rapid Fire kickoff8:48 — Rapid Fire #1: Most valuable KPI (visitors to intended place)11:13 — Rapid Fire #2: Fear (irrelevance… and who you are after)14:38 — Rapid Fire #3: Meeting he never misses (weekly money meeting)16:23 — Rapid Fire #4: Mentor (Cyrus + the ZocDoc “yes to everything” story)19:07 — Rapid Fire #5: Fortune cookie message (get in rooms with opportunity)23:07 — How to quit smart: runway, pipeline, relationships (risk reduction)28:22 — Support at home: panic attack, burnout, and getting his life back33:28 — The unlock: life is a video game (reinvention > expertise)36:10 — The 3 pillars of a real business: pain, attention, offer40:01 — Finding the “bleeding neck” problem (how to dig past surface-level pain)45:08 — The long game + first action step: 15-min customer interviews (use AI to extract language)About Justin:Justin is a former startup executive who helped build two startups past valuations of $1B, teams of 150+ people, and raise over $300M in venture capital. After building his own one-person business past $10M, he's helping 100,000+ experts turn their expertise into income with his masterclass, The Creator MBA.Find Justin Online:Website: https://justinwelsh.meMasterclass (Creator MBA): https://justinwelsh.link/the-creator-mbaTwitter: https://twitter.com/thejustinwelshLinkedIn: https://www.linkedin.com/in/justinwelsh/Instagram: https://www.instagram.com/thejustinwelsh

Andy Frisella is the Founder of the $1B+ supplement company 1st Phorm, Supplement Superstores, the 75Hard challenge, and was the host of the #1 business podcast, The MFCEO Project. This episode was recorded in 2020 when I was 18. I plan to re-upload it every year because of the value Andy brings. If you enjoyed this episode please share it with a friend. It helps me out a lot:https://podcasts.apple.com/us/podcast/built-for-more-with-jacob-oconnor/id1594231832Jacob's Instagram: https://www.instagram.com/jacoboconnorBuilt For More Instagram: https://www.instagram.com/bfmpodYouTube Channel: https://www.youtube.com/@jacob-oconnor

MLB Hot Stove February 2026 Update: Trades, Signings, Injuries & Max Muncy Extension! Spring Training is here, and the MLB offseason is still delivering big moves! We're recapping the latest trades, free agent signings, arbitration drama, injuries shaking up rotations/lineups, and more as teams gear up for 2026. Key Trades: ARI gets RP Kade Strowd (solid rookie arm) from BAL for UTIL Blaze Alexander (utility depth boost for O's). BOS acquires prospects Caleb Durbin, Andrew Monasterio, Anthony Siegler + Comp B pick from MIL for LHP Kyle Harrison & Shane Drohan in a six-player swap. LA (Dodgers) sends INT bonus pool money to MIN for RP Anthony Banda. TOR gets OF Jesus Sanchez from HOU for Joey Loperfido. Major Signings & Re-Signings: Carlos Santana to D-backs (1/$2M) for veteran 1B stability. Framber Valdez to Tigers (3/$115M) after Tarik Skubal wins arb case ($32M salary). Zac Gallen re-signs with D-backs (1/$22M prove-it deal). IKF to Red Sox (1/$6M), Miguel Andujar to Padres (1/$4M), Marcell Ozuna to Pirates (1/$12M), Nick Martinez to Rays (1/$13M), Justin Verlander to Tigers (1/$13M), Chris Bassitt to Orioles (1/$18.5M), and many more like Evan Phillips to Dodgers (1/$6.5M), Kike Hernandez to Dodgers (1/$4.5M), Miles Mikolas to Nats (1/$2.25M). Minor League/Recovery Deals: Jeimer Candelario (LAA MiLB), Gio Urshela (MIN MiLB), Nate Lowe (CIN MiLB), Shelby Miller to Cubs (2yr, TJS recovery), John Means to Royals (2/MiLB, TJS). Injury & Health Updates: Zack Wheeler (PHI) not ready for Opening Day but hopeful soon. Spencer Schwellenbach (ATL) elbow inflammation, eyeing early May return. Hamate bone surgeries: Corbin Carroll (ARI), Jackson Holliday (BAL), Francisco Lindor (NYM) — all likely miss early 2026 time. Josh Hader (HOU) bicep inflammation (OD status in doubt), Anthony Santander labrum surgery (out 5-6 months), Shane Bieber forearm fatigue (not ready for OD), Reese Olsen shoulder surgery (out for year). Extensions & Other News: Max Muncy extends with Dodgers (7M for 2027 + 10M club option 2028, 3M buyout) — team-friendly lock for the veteran 3B chasing a three-peat! We break down impacts on contenders, fantasy baseball outlooks, and what these moves mean as camps open. LIKE and SUBSCRIBE for more MLB updates! In This Video: Latest trades breakdowns (Strowd/Alexander, BOS/MIL swap, etc.) Big signings analysis (Valdez to DET, Gallen back in ARI) Injury timelines & roster ripple effects Muncy extension details & Dodgers future Subscribe & hit the bell for daily MLB news, spring training reactions, and 2026 season previews! Comment below: Which signing surprises you most? Who's injury hurts their team the hardest?

Send a textWhat do institutional lenders, billion-dollar families, and elite real estate sponsors all have in common? They want capital partners who don't just show up—they execute flawlessly.In this fast-paced, no-fluff interview, John, co-founder of Fairbridge Asset Management, shares what it takes to manage nearly $1B in real estate debt, backed by firms like Oaktree Capital. From layered recourse to contingent structuring, John reveals advanced techniques you won't hear at typical investor conferences. He also unpacks why AI won't replace walking the property, how he filters deals based on sponsor behavior, and the brutal truths that separate scalable funds from stuck ones.If you're raising capital, managing investor relations, or structuring private credit in today's volatile market, this is the episode you'll wish you heard five years ago.https://familyoffices.com/

En este episodio de Wall Street Colada te traemos el panorama más reciente antes de la apertura de los mercados, con noticias que están como siempre moviendo capitales, expectativas económicas y estrategias corporativas globales:

BABY CHRISTIAN OR MATURE CHRISTIAN? Hebrews 5:12–14 In fact, though by this time you ought to be teachers, you need someone to teach you the elementary truths of God’s word ALL OVER AGAIN. You need milk, not solid food! 13 Anyone who LIVES ON MILK, BEING STILL AN INFANT, is not acquainted with the teaching about righteousness. 14 But solid food is for the mature, who by constant use have trained themselves to distinguish good from evil. (NIV) 1. MISUNDERSTANDING MATURITY 1 Peter 2:2 Like newborn babies, crave pure spiritual milk, so that by it you may GROW UP in your salvation, (NIV) SIGNS OF BEING SPIRITUALLY STUCK 1A. INFANTS DEPEND ON OTHERS TO FEED THEM 1B. INFANTS DON’T LISTEN AND APPLY WELL 1C. INFANTS ARE SELF-CENTERED 2. MISPLACED PRIORITIES Matthew 6:33 But seek first his kingdom and his righteousness, and all these things will be given to you as well. (NIV) 3. MISGUIDED MOTIVATION 4. MISMANAGE SIN 1 Timothy 6:11 But you, man of God, flee from all this, and pursue righteousness, godliness, faith, love, endurance and gentleness. (NIV) 5. MISREAD SITUATIONS Hebrews 5:14 1But solid food is for the mature, for those who have their powers of DISCERNMENT trained by constant practice to DISTINGUISH good from evil. (ESV) 5A. THEY STRUGGLE DISCERNING SATAN’S SCHEMES 2 Corinthians 2:11 in order that Satan might not outwit us. For we are not unaware of his schemes. (NIV) 2 Corinthians 11:14 And no wonder, for Satan himself masquerades as an angel of light. (NIV) 1 Timothy 4:1 The Spirit clearly says that in later times some will abandon the faith and follow deceiving spirits and things taught by demons. (NIV) 5B. THEY STRUGGLE DISCERNING THE VOICE OF GOD John 10:27 My sheep listen to my voice; I know them, and they follow me. (NIV) John 10:14 “I am the good shepherd; I know my sheep and my sheep KNOW ME (NIV) 6. MISS MATURING 6A. MATURITY REQUIRES PRACTICE Hebrews 5:14 But solid food is for the mature, for those who have their powers of discernment TRAINED BY CONSTANT PRACTICE to distinguish good from evil. (ESV) James 1:22 Do not merely listen to the word, and so deceive yourselves. Do what it says. (NIV) 6B. MATURITY REQUIRES CORRECTION 1. THE READING OF THE WORD OF GOD CORRECTS THE MATURE 2 Timothy 3:16–17 All Scripture is God-breathed and is useful for teaching, REBUKING, CORRECTING, TRAINING in righteousness, 17 so that the servant of God  may be thoroughly equipped for every good work. (NIV) 2. THE PREACHING OF THE WORD OF GOD CORRECTS THE MATURE 2 Timothy 4:2 Preach the word; be prepared in season and out of season; correct, rebuke and encourage—with great patience and careful instruction. (NIV) 3. THE PEOPLE OF GOD CORRECT THE MATURE Proverbs 15:31–32 If you listen to constructive criticism, you will be at home among the wise. 32 If you reject discipline, you only HARM YOURSELF; but if you listen to CORRECTION, you GROW in understanding. (NLT) Proverbs 12:1 Whoever LOVES discipline LOVES knowledge, but whoever hates correction is STUPID. (NIV)

TikTok Shop sales are booming. Will Amazon surpass Walmart? Plus, a major Helium 10 announcement. Get the latest buzzing e-commerce news on this Weekly Buzz episode! We're back with another episode of the Weekly Buzz with Helium 10's Principal Brand Evangelist, Carrie Miller. Every week, we cover the latest breaking news in the Amazon, TikTok Shop, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level.   TikTok Shop U.S. GMV grew 68% to reach US$15.1B in 2025 https://thelowdown.momentum.asia/new-report-tiktok-shop-u-s-gmv-grew-68-to-reach-us15-1b-in-2025/ TikTok Shop buyers expect 4x faster response than on Amazon https://channelx.world/2026/02/tiktok-shop-buyers-expect-4x-faster-response-than-on-amazon/ New Feature Alerts: Helium 10 just launched for the Diamond plan. This new feature, called Insight Alert, instantly flags SKUs at risk of Amazon low-inventory and long-term storage fees, so you can sort by risk and fix restocks before you get charged.   Plus, Elite members can now set a specific time window for “Request a Review” automations in Follow-Up, letting you choose exactly when review requests are sent instead of leaving timing to Amazon. Amazon set to pass Walmart in annual revenue for the first time after hitting $700 billion in sales https://www.modernretail.co/operations/amazon-set-to-pass-walmart-in-annual-revenue-for-the-first-time-after-hitting-700-billion-in-sales/ Amazon Seller Central: New Sell Globally feature simplifies international expansion https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHR0EyRFpaQ1ZSWDdWRTZV Helium 10 is bringing back its old-school, high-level strategy webinars with a major educational session hosted by Leo Sgovio and Bradley Sutton, packed with “behind-closed-doors” tactics tailored for selling in 2026. It airs February 23 at 10 am PST — register now at https://h10.me/bigweb226 In episode 496 of the AM/PM Podcast and Weekly Buzz, Carrie talks about: 00:40 - TikTok US Sales 03:53 - TikTok Buyer Expectations 06:09 - Low Inventory Fee Alert 08:30 - Review Request Delivery 10:23 - Amazon vs Walmart 12:18 - AI Bid Rules Strategy 16:01 - Sell Globally Feature 17:23 - Big Announcement

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠

Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast, you'll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned and will learn on his path from $100M to $1B in net worth.Wanna scale your business? ⁠⁠Click here.⁠⁠Follow Alex Hormozi's Socials:⁠⁠LinkedIn ⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠Facebook⁠⁠ | ⁠⁠YouTube ⁠⁠ | ⁠⁠Twitter⁠⁠ | ⁠⁠Acquisition ⁠