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Candice Lyn - disruptor of subconscious programming, and founder of The Frequency Lab - joins The Quiet Warrior Podcast to explore the hidden codes that quietly run our lives — the subconscious beliefs formed in childhood that shape how we show up, love, and seek safety. Drawing from her book Awaken and her own healing journey, Candice reveals how awareness, nervous system regulation, and curiosity can help us break free from survival mode and live from embodied truth.In This EpisodeThe invisible codes we live by: How subconscious beliefs about worth, love, and safety are encoded in early childhood — and how they influence our adult behaviour.People-pleasing and fawning: Why many introverts and “good girls” learn to stay small, keep the peace, and seek validation through perfection.Recognizing your survival response: The four responses — fight, flight, freeze, and fawn — and what they reveal about your nervous system's default programming.The four stages of transformation: Spot the code – noticing patterns and triggers Disrupt – choosing to make a new decision Regulate – calming the nervous system Reclaim and Embody – stepping into your power from a grounded placeCuriosity over shame: How curiosity opens the door to healing, while self-judgment keeps us stuck in old loops.Breaking the burnout cycle: Identifying “I'm not enough” and “I'm unworthy” codes that fuel chronic overwork and emotional exhaustion.The power of rest: Reclaiming rest, stillness, and self-nourishment as radical acts of self-love.Spiritual bypassing and toxic positivity: How avoiding pain and focusing only on “good vibes” blocks real transformation.Returning to your essence: Remembering the childlike curiosity, imagination, and potency that existed before the world told you who to be.Key TakeawaysAwareness is the first step toward freedom — you can't heal what you don't see.Regulation is not a luxury; it's a pathway back to your truth.Celebrate every moment of self-awareness, no matter how small.True awakening is not about perfection — it's about remembering your innate wholeness.Connect with Candice LynWebsite: thefrequencylab.toBook: Awaken (available on Amazon)Instagram: @candicelyn_awakenStart your visibility journeyJoin the Visible Introvert Community at serenalow.com.au for psychologically safe ways to build authentic confidence and quiet leadership.This episode was edited by Aura House Productions
New research challenges assumptions about power line magnetic fields and sleep disruption, finding minimal impact on circadian rhythms even at high exposure levels. Scientists exposed mice to fifty hertz magnetic fields -- the same frequency emitted by power lines and household wiring -- during their sleep period to test effects on internal body clocks. The results were reassuring: magnetic fields caused only minor changes in movement patterns, while light exposure dramatically disrupted sleep hormones and activity levels. In This Episode Why researchers tested power line frequencies on mouse sleep cycles How magnetic field exposure compared to light exposure effects What these findings mean for your bedroom EMF concerns Featured Study Effects of 50 Hz magnetic fields on circadian rhythm control in mice. Read the full study at shieldyourbody.com/research
The U.S.-Israeli attacks on Iran have paralyzed maritime shipping between the Middle East and Japan, disrupting both imports to and exports from the Asian country.
The push for net zero has become a new arena for class conflict, where the powerful profit and the rest suffer. Existing policies won't limit global heating to anything close to a safe level. Claims of sustainability disguise a zero-sum battle where the powerful profit and everyone else foots the bill. Green growth was supposed to bring increased wealth for all. Instead, work has been degraded, energy bills have soared, and the most basic necessities have become expensive and scarce. We need to disrupt green capitalism. In Or Something Worse: Why We Need to Disrupt the Climate Transition (Verso, 2025), Nicholas Beuret follows those already fighting back through ‘don't pay' campaigns, blockades of fossil-fuel infrastructure, and community counter-planning. He shows we have the tools not only to stop climate change but to build a fairer future. Nicholas Beuret is a lecturer in environmental politics and economic geography at the University of Essex. With a background in both activism and academia, he explores the intersections of climate change, capitalism, and social justice. His work has been featured in the Guardian, The Ecologist, Open Democracy, and Undercurrents. Nicholas lives in the UK, where he continues to write, teach, and engage in environmental advocacy. Alec Fiorini is a PhD student at Queen Mary University London's Centre for Labour, Sustainability and Global Production (CLaSP) researching the political economy of nitrogen fertilizer supply chains. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
The push for net zero has become a new arena for class conflict, where the powerful profit and the rest suffer. Existing policies won't limit global heating to anything close to a safe level. Claims of sustainability disguise a zero-sum battle where the powerful profit and everyone else foots the bill. Green growth was supposed to bring increased wealth for all. Instead, work has been degraded, energy bills have soared, and the most basic necessities have become expensive and scarce. We need to disrupt green capitalism. In Or Something Worse: Why We Need to Disrupt the Climate Transition (Verso, 2025), Nicholas Beuret follows those already fighting back through ‘don't pay' campaigns, blockades of fossil-fuel infrastructure, and community counter-planning. He shows we have the tools not only to stop climate change but to build a fairer future. Nicholas Beuret is a lecturer in environmental politics and economic geography at the University of Essex. With a background in both activism and academia, he explores the intersections of climate change, capitalism, and social justice. His work has been featured in the Guardian, The Ecologist, Open Democracy, and Undercurrents. Nicholas lives in the UK, where he continues to write, teach, and engage in environmental advocacy. Alec Fiorini is a PhD student at Queen Mary University London's Centre for Labour, Sustainability and Global Production (CLaSP) researching the political economy of nitrogen fertilizer supply chains. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/world-affairs
The push for net zero has become a new arena for class conflict, where the powerful profit and the rest suffer. Existing policies won't limit global heating to anything close to a safe level. Claims of sustainability disguise a zero-sum battle where the powerful profit and everyone else foots the bill. Green growth was supposed to bring increased wealth for all. Instead, work has been degraded, energy bills have soared, and the most basic necessities have become expensive and scarce. We need to disrupt green capitalism. In Or Something Worse: Why We Need to Disrupt the Climate Transition (Verso, 2025), Nicholas Beuret follows those already fighting back through ‘don't pay' campaigns, blockades of fossil-fuel infrastructure, and community counter-planning. He shows we have the tools not only to stop climate change but to build a fairer future. Nicholas Beuret is a lecturer in environmental politics and economic geography at the University of Essex. With a background in both activism and academia, he explores the intersections of climate change, capitalism, and social justice. His work has been featured in the Guardian, The Ecologist, Open Democracy, and Undercurrents. Nicholas lives in the UK, where he continues to write, teach, and engage in environmental advocacy. Alec Fiorini is a PhD student at Queen Mary University London's Centre for Labour, Sustainability and Global Production (CLaSP) researching the political economy of nitrogen fertilizer supply chains. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/environmental-studies
The push for net zero has become a new arena for class conflict, where the powerful profit and the rest suffer. Existing policies won't limit global heating to anything close to a safe level. Claims of sustainability disguise a zero-sum battle where the powerful profit and everyone else foots the bill. Green growth was supposed to bring increased wealth for all. Instead, work has been degraded, energy bills have soared, and the most basic necessities have become expensive and scarce. We need to disrupt green capitalism. In Or Something Worse: Why We Need to Disrupt the Climate Transition (Verso, 2025), Nicholas Beuret follows those already fighting back through ‘don't pay' campaigns, blockades of fossil-fuel infrastructure, and community counter-planning. He shows we have the tools not only to stop climate change but to build a fairer future. Nicholas Beuret is a lecturer in environmental politics and economic geography at the University of Essex. With a background in both activism and academia, he explores the intersections of climate change, capitalism, and social justice. His work has been featured in the Guardian, The Ecologist, Open Democracy, and Undercurrents. Nicholas lives in the UK, where he continues to write, teach, and engage in environmental advocacy. Alec Fiorini is a PhD student at Queen Mary University London's Centre for Labour, Sustainability and Global Production (CLaSP) researching the political economy of nitrogen fertilizer supply chains. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/public-policy
On Food Talk with Dani Nierenberg, Dani speaks with Reema Nanavaty, Head of the Self- Employed Women's Association (SEWA). They discuss the challenges faced by women in the informal sector, solutions that offer protection from the impacts of a warming planet, and how SEWA is creating pathways for women to become climate entrepreneurs. Plus, hear about what the U.S. and Israel's strikes on Iran mean for food and agriculture systems, funding that will help us better understand the impact of agrichemicals, why environmental advocates are disappointed in new sustainability laws for EU countries, and more. While you're listening, subscribe, rate, and review the show; it would mean the world to us to have your feedback. You can listen to "Food Talk with Dani Nierenberg" wherever you consume your podcasts.
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
Will AI replace OTAs like Airbnb and Booking.com?In this episode of the Host Planet Podcast – powered by Hostfully – Shahar Goldboim, Founder & CEO of BOOM, reveals how agentic AI will transform the short-term rental (STR) industry across the world.We explore:* What agentic AI actually means for vacation rental hosts* Why AI will become the primary travel discovery engine* How independent hosts can compete with large property managers* Whether OTAs like Airbnb will lose influence* How to get your business cited by AI tools like ChatGPT and Gemini* The future of direct bookings, automation, and revenue management* Why the STR tech stack is about to compress* BOOM's new product launch: BAMIf you're an Airbnb host, vacation rental manager, or STR tech founder, this episode will change how you think about distribution, marketing, pricing, and direct bookings in 2026 and beyond.1:15 What is agentic AI?2:06 AI will become the primary discovery function for travel7:59 Dozens of new AI-driven booking channels will emerge 10:59 The playing field will level for independent hosts 13:53 How can businesses get cited by AI large language models like ChatGPT and Gemini?15:13 OTA influence will decline but not disappear 17:17 How advertising is going to change AI platforms 18:47 Automation and revenue management 21:22 The STR tech stack will compress 24:51 Direct booking websites will become AI-first 26:46 Trust will shift from platforms to AI interpreters 29:09 Hosts who prepare now will win big 31:23 BOOM releases BAMLooking for a great property management software or digital guidebook?You need Hostfully!Check out these special offers:Property Management Software: Get $500 off onboarding by using the code PLANET500.Digital Guidebooks: Get 30% off for life by using the code HOSTPLANETGB.Click here to sign up for Hostfully: https://tinyurl.com/3ay8bhtkKeen to book a Hostfully demo? Click here to connect with Frank Bosi: https://tinyurl.com/Hostfully-DemoEmail Frank: frank@hostfully.com Host Planet: https://www.hostplanet.club/James Varley: https://www.linkedin.com/in/jdsvarley/Shahar Goldboim: https://www.linkedin.com/in/shahar-goldboim-80820b95/BOOM: https://www.boomnow.com/Episode to check next: Has Airbnb Peaked? Jamie Lane on Booking.com, Direct Bookings & 2026 Trends: https://www.youtube.com/watch?v=qQBraDVJ1i0The Host Planet Podcast is where Airbnb hosts, Booking.com hosts, Vrbo hosts, and short-term rental operators come to learn what actually works. Each episode features expert insights from people actively building, managing, and scaling short-term rentals, covering everything from Airbnb hosting fundamentals to advanced rental strategies. Whether you're focused on guest satisfaction, rental management, or smarter automation tips, the show delivers practical advice you can apply immediately to improve performance and increase Airbnb bookings.Across the series, we explore Airbnb host tips, listing optimization, price optimization, and Airbnb listing optimization – alongside real-world investing insights and behind-the-scenes Airbnb secrets you won't hear elsewhere. From hosted conversations with industry leaders and Airbnb ambassadors to actionable guidance on bookings and short-term rental growth, Host Planet helps hosts navigate short term rentals with confidence and clarity.The show is presented by James Varley, a holiday let investor and property manager who is also the Founder of Host Planet. Before founding Host Planet, James spent 20 years in the media, including a decade leading corporate communications for the FIFA World Cup Qatar 2022.Contact the show: info@hostplanet.club#HostPlanet #HostPlanetPodcast #ShortTermRentals #VacationRentals #HolidayLets #Airbnb #BookDirect #PropertyManagement #PropertyInvestment #Vrbo #JamesVarley #Hostfully #PMS #DigitalGuidebooks #SpecialOffer #AgenticAI #RevenueManagement #STRTech #AITravel #ShaharGoldboim #BOOM #BAM
New Zealand's Special Agricultural Trade Envoy Nathan Guy spoke to Corin Dann.
Yvette Borja interviews lawyer and justice educator Courtney Teasley about her resource "Disrupt the Criminal Justice System of Oppression: The Easy Way to Learn Your Rights." They discuss the work of Emeffen, the organization that Courtney founded and leads, to proactively fight mass incarceration and reform the criminal justice system. Courtney shares why she calls the criminal legal system the "system of oppression" and why she appreciated working with participatory defense organizers as a practicing criminal defense lawyer. Support the podcast by becoming a patron here: https://patreon.com/radiocachimbona?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLinkBuy the Easy Way To Learn Your Rights here: https://disruptthecjsoo.emeffen.com/#:~:text=about%20the%20book%3A,Your%20rights%20are%20your%20power.Follow @radiocachimbona on Instagram, X, and Facebook
Mike Jagacki of Lockdown Defense shares this webclinic on how to disrupt modern basketball offenses with trapping. Click to watch this webclinic This episode is sponsored by the Dr. Dish Basketball Shooting Machine. Mention "Quick Timeout" and receive $300 off on the Dr. Dish Rebel, All-Star, and CT models. Get $100 off the IC3 Basketball Shot Trainer with the code TONYMILLER (or click this link). If you're already using tools like FastDraw, FastScout, or FastRecruit—you know how essential they are to your workflows. And now that they're fully part of the Hudl ecosystem, they're more powerful than ever. From film and play diagrams to scouting reports and custom recruiting boards, everything flows together. One system. Built for high-performance programs. Learn more at hudl.com/aquicktimeout. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Mississippi shakes up college football recruiting by eliminating state NIL taxes—will this bold move give Ole Miss, Mississippi State, and Southern Miss a crucial edge over rivals like LSU, Alabama, and Georgia? Brian Smith explores how this game-changing legislation could ignite fierce competition across the SEC and beyond, as states like Arkansas and possibly Louisiana consider similar strategies to attract top recruits. Key topics include the ripple effects on NCAA policy, potential court battles, and the ethical debate around taxing student-athletes versus essential workers. Brian Smith examines implications for booster collectives, transfer portal dynamics, and whether limits on NIL spending are even enforceable. Discussion highlights unique scenarios—from untaxed ticket sales and sponsorship deals to athlete enrollment controversies—making this a must-listen for anyone monitoring the future of college football recruiting and the ever-evolving NIL landscape. Everydayer Club If you never miss an episode, it's time to make it official. Join the Locked On Everydayer Club and get ad-free audio, access to our members-only Discord, and more — all built for our most loyal fans. Click here to learn more and join the community: https://theportal.supercast.com/ Support us by supporting our sponsors! 5-Hour ENERGY Have your cake & drink it too. Birthday cake-flavor is back, no fork needed. Vanilla-y cakey flavor, caffeinated kick, and no sugar. It's party time. Order Now at https://5-hourENERGY.com or Amazon. Mazda Like our players, we're driven by the details. Because highlights make the reel. What it takes to get there makes it count. There's more to a Mazda. Because there's more to you. TurboTax This year you're getting a major upgrade — Intuit TurboTax now has in-person locations nationwide. Visit http://TurboTax.com/local to book your appointment today. Robinhood You're no longer just a spectator. Play by play. You decide. Trade Every Play with Robinhood. Now available across the U.S. Download the Robinhood app now to begin. Futures and cleared swaps trading involves significant risk and is not appropriate for everyone. Event contracts are offered by Robinhood Derivatives, LLC., a registered futures commission merchant and swap firm. Indeed Listeners of this show get a $75 Sponsored Job Credit to help give your job the premium placement it deserves at http://Indeed.com/podcast Gametime Today's episode is brought to you by Gametime. Download the Gametime app, create an account, and use code LOCKEDON for $20 off your first purchase. Terms and conditions apply. FanDuel FanDuel is giving you a way to turn that energy into even bigger potential wins with a College Basketball Parlay Profit Boost. Visit https://FANDUEL.COM to get started — Play Your Game. FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expire in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
I am thrilled to welcome Marenza Altieri Douglas, an executive in sales and technology. She's trained in structured enterprise environments, start ups, and is steeped in opening new markets and building commercial enterprise. That's not going to be our focus today, instead we talk about how she is an incredible storyteller, rooted in concepts like disruption and cultivation. Her personal story is key to the narrative, and I was thrilled she is joining us to share that story and how she ties it all together, leading and operating in the current business climate. Marenza Altieri Douglas' career sits at the intersection of technology evangelism and disciplined execution. Trained in structured, enterprise environments and refined in startups and scale-ups, she specializes in defining strategic direction, opening new markets, and building compelling commercial propositions for enterprise and C-suite customers across Fortune 500 and Global 5000 organizations. She has worked across and alongside technologies including Conversational and Generative AI, APIs, DevOps, open-source platforms, cloud and containerized architectures, enterprise mobility, security, communications, media and broadcast, telecoms, and digital platforms. AI is a natural evolution of this journey, alongside a strong strategic interest in GPU-enabled infrastructure and quantum technologies. Marenza is known for building high-trust relationships, spotting and growing talent, and connecting product, engineering, and commercial teams around clear outcomes. A natural storyteller and facilitator, I enjoy shaping narratives that help organizations and customers understand why a technology matters, not just what it does.(4:50) We delve into Marenza's formative years that put her on her current path. She shares her personal and professional story. (17:18) When did Marenza realized that “disruption” and challenging things become a part of her brand? (22:38) What does Marenza feel are some of the important qualities that people should embody? (28:20) Marenza shares how she focuses on the future and the next generation. (39:16) We reflect on what Marenza would like her impact to be over the next couple of years.Connect with Marenza Altieri-Douglashttps://www.linkedin.com/in/marenza/ Subscribe: Warriors At Work PodcastsWebsite: https://jeaniecoomber.comFacebook: https://www.facebook.com/groups/986666321719033/Instagram: https://www.instagram.com/jeanie_coomber/Twitter: https://twitter.com/jeanie_coomberLinkedIn: https://www.linkedin.com/in/jeanie-coomber-90973b4/YouTube: https://www.youtube.com/channel/UCbMZ2HyNNyPoeCSqKClBC_w
Greg Brady spoke to Eric Kam, Economics Professor at Toronto Metropolitan University about Oil prices rise sharply after attacks in Middle East disrupt global energy supply Learn more about your ad choices. Visit megaphone.fm/adchoices
Greg Brady spoke to Eric Kam, Economics Professor at Toronto Metropolitan University about Oil prices rise sharply after attacks in Middle East disrupt global energy supply Learn more about your ad choices. Visit megaphone.fm/adchoices
Tatum doesn't want to disrupt the chemistry - not a good sign to Arcand
The Cowboys are electing to use the franchise tag on George Pickens, and while there is still time to work out a long term contract, things still seem a little rocky. Insert Sylvester Stallone GIF here.
Dynasty Fantasy Football | Married to The Game | The FF Dynasty
The FF Dynasty, Season 9, Episode 148: Casey + @Chev90 breakdown the top Running Back Sleepers who could disrupt the 2026 Dynasty Market Value for your pleasurrre -- Help us build The FFD Crowdsource Ranks! https://theffdynasty.com -- In Memory of Randall "Memphis" Young donate to the family - https://gofund.me/b06e20329 -- Free Patreon + Discord 5 Star Contest here! YouTube - Twitter - Insta - TikTok --
Bob Ryan, Jeff Goodman, and Gary Tanguay react to Payton Pritchard's performance in the Celtics' dominant win over the Lakers. Then the guys welcome a surprise guest to the show, Auburn Men's Basketball Head Coach and Boston native, Bruce Pearl. He and Bob reminisce about their favorite BC basketball memories! After the break, Bob, Jeff, and Gary recap the Celtics' loss to Denver and the latest on Jayson Tatum's return. The Bob Ryan & Jeff Goodman NBA Podcast on CLNS Media is Powered by:
Send a text Most marriage problems aren't “new.” They're patterns. Cycles. Scripts. And if you don't disrupt them intentionally, you will repeat them — and eventually pass them down. In this episode, Chelsey exposes why wives stay stuck in destructive cycles, how generational patterns show up in conflict, and what it takes to stop reacting and start walking in Spirit-led self-control. Support the showChelsey Holm | the Wife Coach "I help Christian wives surrender fully, live Spirit-led, and be set apart according to God's design in marriage, motherhood, and life."Ready for a next step? If this episode stirred something deeper and you're ready to move from insight into surrender, I created a short guided experience called From Awareness to Surrender. This mini course includes three short teachings, a guided exercise, and a prayer recorded over you to help you stop cycling and start responding differently—rooted in surrender, not striving.
WIll AI music become the gold standard for creating beats and music soundtracks for movies, vlogs, podcast, etc?Will this solve copyright issues?Will the internet become saturated with AI music if it creation and distribution goes nuclear?
President Donald Trump says the country is back on track and the economy is roaring. Democrats disagree, saying affordability is worsening. Plus, the Justice Department is backing away from its effort to indict six Democratic lawmakers over a video urging troops to refuse unlawful orders. And investigators now say the key DNA evidence found in Nancy Guthrie's home may not yield a usable profile. This comes as the Guthrie family increases the reward to $1 million. These stories and more highlight your Unbiased Updates for Wednesday, February 25, 2026.
President Donald Trump says the country is back on track and the economy is roaring. Democrats disagree, saying affordability is worsening. Plus, the Justice Department is backing away from its effort to indict six Democratic lawmakers over a video urging troops to refuse unlawful orders. And investigators now say the key DNA evidence found in Nancy Guthrie's home may not yield a usable profile. This comes as the Guthrie family increases the reward to $1 million. These stories and more highlight your Unbiased Updates for Wednesday, February 25, 2026.
In this episode we'll talk about:The difference between your assignment and the system housing itWhy reform-from-within often turns you into a threatThe hidden cost of fighting infrastructure built on misalignmentHow leverage grows quietly outside rigid structuresWhy building adjacent is often more powerful than battling insideHow to create traction without burning yourself outAnd more… CONNECT WITH ME…→ Instagram — @mattgottesman→ My Substack — mattgottesman.substack.com → Apparel — thenicheisyou.comRESOURCES…→ Recommended Book List — CLICK HERE→ Masterclass — CLICK HEREWORKSHOPS + MASTERCLASS:→ Need MORE clarity? - Here's the FREE… 6 Days to Clarity Workshop - clarity for your time, energy, money, creativity, work & play→ Write, Design, Build: Content Creator Studio & OS - Growing the niche of you, your audience, reach, voice, passion & incomeOTHER RELATED EPISODES:Faith Isn't Knowing the Whole Path… It's Taking the Next Honest StepApple: https://apple.co/3MB62IuSpotify: https://bit.ly/4rZw3RN
Mike Johnson, Beau Morgan, and Ali Mac talk to WWE Superstar Gunther ahead of tonight's WWE Monday Night RAW in Atlanta's State Farm Arena that will feature the return of Brock Lesnar, crucial Elimination Chamber qualifying matches, and a special tribute to Georgia's own AJ Styles. Mike, Beau, Ali, and Gunther discuss him being a career ender, whose career he'll end next, his role as a heel being more of a lifestyle than a role he plays, and if he'll potentially ruin Georgia's own AJ Styles' special tribute.
Welcome to the Celestial Insights Podcast, the show that brings the stars down to Earth! Each week, astrologer, coach, and intuitive Celeste Brooks of Astrology by Celeste will be your guide. Her website is astrologybyceleste.com.
Sign up to my free unlocking fat loss succeess webinar: https://www.mikkiwilliden.com/unlocking-fatloss-success Artificial sweeteners—especially aspartame—have become one of the most controversial topics in nutrition. Does aspartame spike insulin? Trigger hunger? Disrupt metabolism? Increase diabetes risk?In this Mini Mikkipedia episode, Mikki breaks down a comprehensive meta-analysis published in Advances in Nutrition reviewing over 100 human randomized controlled trials on aspartame. The findings challenge many of the common narratives circulating online.You'll learn what actually happens to blood glucose, insulin, appetite hormones, and calorie intake when people consume aspartame—and why the feared “insulin spike without glucose” mechanism doesn't hold up physiologically. Mikki also unpacks concerns around methanol and amino acid breakdown products, and explains why observational studies often drive misleading headlines.If you enjoy a diet drink and worry it's sabotaging your fat loss or metabolic health, this episode offers clarity grounded in human clinical data—not fear-based speculation.HighlightsWhy aspartame does not trigger insulin spikes in human trialsWhat the research shows about hunger, appetite hormones, and calorie intakeThe difference between observational studies and randomized controlled trialsMethanol, phenylalanine, and aspartic acid: dose, context, and perspectiveWhether diet drinks interfere with weight loss or metabolic flexibility Contact Mikki:https://mikkiwilliden.com/https://www.facebook.com/mikkiwillidennutritionhttps://www.instagram.com/mikkiwilliden/https://linktr.ee/mikkiwillidenSave 20% on all Nuzest Products WORLDWIDE with the code MIKKI at www.nuzest.co.nz, www.nuzest.com.au or www.nuzest.comCurranz supplement: MIKKI saves you 25% at www.curranz.co.nz or www.curranz.co.uk off your first order
If you missed the first part of this episode with Emad Mostaque, let me catch you up. Emad is one of the most prominent figures in the artificial intelligence industry. He's best known for his role as the founder and CEO of Stability AI. He has made notable contributions to the AI sector, particularly through his work with Stable Diffusion, a text-to-image AI generator. Emad takes us on a deep dive into a thought-provoking conversation dissecting the potential, implications, and ethical considerations of AI. Discover how this powerful tool could revolutionize everything from healthcare to content creation. AI will reshape societal structures, and potentially solve some of the world's most pressing issues, making this episode a must for anyone curious about the future of AI. We'll explore the blurred lines between our jobs and AI, debate the ethical dilemmas that come with progress, and delve into the complexities of programming AI and potential threats of misinformation and deep fake technology. Join us as we navigate this exciting but complex digital landscape together, and discover how understanding AI can be your secret weapon in this rapidly evolving world. Are you ready to future-proof your life?" Follow Emad Mostaque: Website: https://stability.ai/ Twitter: https://twitter.com/EMostaque Learn more about your ad choices. Visit megaphone.fm/adchoices
Whitney Johnson is an innovative thinker on individual and team growth. She has been named one of the 50 leading business thinkers by Thinkers50 and is the author of several award winning books, including Disrupt Yourself, Build an “A” Team and Smart Growth. Whitney is also the host of the Disrupt Yourself Podcast. Whitney joined host Robert Glazer on the Elevate Podcast to talk how leaders can build fast-improving teams. Thank you to the sponsors of The Elevate Podcast Shopify: shopify.com/elevate Masterclass: masterclass.com/elevate Framer: framer.com/elevate Northwest Registered Agent: northwestregisteredagent.com/elevatefree Indeed: indeed.com/elevate Vanguard: vanguard.com/audio Learn more about your ad choices. Visit megaphone.fm/adchoices
Can an algorithm truly care for a patient? As we move further into 2026, the healthcare industry is being flooded with AI tools promising to automate everything from charting to triage. But there's a massive problem: most of these tools are being built by engineers who have never spent a 12-hour shift on a med-surg floor. In this high-stakes conversation, Rebecca Love, RN, joins us to explain why the "Nursing Voice" is the most valuable asset in the 2026 tech landscape. We discuss the recent surge in ambient clinical scribes and the ethical "black boxes" of agentic AI—and why tech giants are destined to fail if they don't put nurses at the center of the development loop. This episode is a banger! Please like, follow and SUBSCRIBE! What You'll Learn in This Episode: The Missing Link in Innovation: Why tech companies are struggling to achieve ROI because they lack the "frontline intuition" only a nurse provides. The 2026 AI Reality Check: A look at the current trends, from Google's Nurse Handoff tools to the 18% error rate recently found in some AI-generated discharge summaries. Ethics of the "Black Box": How nurses serve as the ultimate "Human-in-the-Loop" to prevent algorithmic bias and hallucinations from reaching the patient. Why Big Tech Can't "Do It Right" Alone: The specific clinical nuances—like reading a patient's non-verbal cues or navigating family dynamics—that cannot be coded into a Large Language Model (LLM). The Accountability Crisis: As AI begins drafting clinical work, who is legally responsible? Rebecca dives into the shifting liability landscape for RNs and NPs. More About Rebecca Love RN, BS, MSN, FIEL Rebecca Love, RN, BS, MSN, FIEL is an experienced nurse executive and first nurse featured on Ted.com, first nurse panel at SXSW. Rebecca is a regular contributor on the Forbes Business Council, has been featured in BBC, Fortune, Becker's, AXIOS, STAT, Forbes, Chief Healthcare Executive Magazine and ABC news and has co-authored two books: The Rebel Nurse Handbook and the The Nurses Guide to Innovation. Rebecca, was the first Director of Nurse Innovation & Entrepreneurship in the United States at Northeastern School of Nursing – the founding initiative in the Country designed to empower nurses as innovators and entrepreneurs, where she founded the Nurse Hackathon, the movement has led to transformational change in the Nursing Profession. In early 2019, Rebecca, along with a group of leading nurses in the world, founded and is President Emeritus of SONSIEL: The Society of Nurse Scientists, Innovators, Entrepreneurs & Leaders, a non-profit that quickly attained recognition by the United Nations as an Affiliate Member to the UN. Rebecca is an experienced Nurse Entrepreneur, founding HireNurses.com in 2013 which was acquired in 2018 by Ryalto, LTD UK, where she served as the Managing Director of US Markets, until it's acquisition in 2019. Rebecca served as the Chief Clinical Officer of IntelyCare, Inc. In 2023, Rebecca founded the Commission for Nurse Reimbursement- dedicated to solving the United States Nursing Crisis by creating a new economic model to reimburse for nursing services. Rebecca is passionate about empowering nurses and creating communities to help nurses innovate, create and collaborate to start businesses and inventions to transform healthcare. In 2024, Rebecca signed as the Co-Chair of the NursingIsSTEM Coalition. In addition, Rebecca sits as an advisory board member on several leading digital health startups and organizations, has co-authored 2 books, founded 3 companies, speaks internationally, and is dedicated and passionate about empowering nurses to be at the forefront of healthcare innovation and entrepreneurship. Connect with her on Linkedin: linkedin.com/in/rebeccalovenursing Listen on Apple Podcasts – : The Gritty Nurse Podcast on Apple Apple Podcasts https://podcasts.apple.com/ca/podcast/the-gritty-nurse/id1493290782 * Watch on YouTube – https://www.youtube.com/@thegrittynursepodcast Stay Connected: Website: grittynurse.com Instagram: @grittynursepod TikTok: @thegrittynursepodcast Facebook: https://www.facebook.com/profile.php?id=100064212216482 X (Twitter): @GrittyNurse Collaborations & Inquiries: For sponsorship opportunities or to book Amie for speaking engagements, visit: grittynurse.com/contact Thank you to Hospital News for being a collaborative partner with the Gritty Nurse! www.hospitalnews.com
How did telehealth reshape GP training in Australia? This study found it disrupted in-consultation learning, reduced feedback, and limited clinical exposure—highlighting the need for telehealth-specific training. #MedEd #Telehealth #GPTraining Read the accompanying article here: https://doi.org/10.1111/medu.70061Digital Object Identifier (DOI)
Moving Away From ComfortLeaders Are Self-Led "Remember not the former things… Behold, I am doing a new thing; now it springs forth, do you not perceive it?" (Isaiah 43:18–19, ESV) Friday nights in the 90s often started with a drive to the strip mall to visit the local Blockbuster. I still remember that distinct smell of a thousand plastic cases mixed with the faint scent of buttered popcorn. We'd wander the aisles aimlessly, scanning rows of movies, hoping to find something good. The New Releases wall was always empty, so we ended up with two or three classic movies. A quick scan of your Blockbuster card, some microwave popcorn, and an ice-cold Coke, and our weekend was officially set, as long as you remembered to, "Be kind, rewind." At its peak, Blockbuster had nearly nine thousand stores. Those iconic blue and yellow signs were in every town. Home entertainment ran through them. They did not compete in the market. They were the market. Then a small company showed up with red envelopes and a simple question. What if people didn't have to come to us? What if movies showed up at their door? What if there were no late fees at all? Blockbuster laughed. Netflix was a novelty. A slow option for people willing to wait. Blockbuster had momentum. They were not failing. They were winning. They were comfortable. That comfort cost them. Netflix started by mailing DVDs across the country. Then, while that model was still working, they began investing in a new idea, streaming movies through the internet. No one thought it would work. Few had the bandwidth or patience. When it did work, they leaned in harder. Soon the mailed DVDs, the model that built them, was discontinued. When online content exploded, they shifted again, producing original stories and building a global platform. Netflix was never married to a method, only its mission, "to entertain the world." Blockbuster lost because they tried to protect what they were comfortable with. Netflix won because they challenged their own comfort zones. Comfort rarely looks like failure. However, that's what it becomes when you settle into a season of success. Blockbuster did not fail because it lacked resources. It failed because it clung too tightly to what worked in a previous season. That is why the Lord says, "Remember not the former things." God is not dismissing what He has done. He is warning us not to settle there. Yesterday's success can quietly become today's blind spot if we stop perceiving what God is doing next (Isaiah 43:18–19, ESV). The Hidden Cost of Comfort There is a big cost to falling into complacency, one that should terrify a leader. It costs momentum. Momentum is built by consistently moving in the right direction over time. When you have it, everything feels easier. When you lose it, everything becomes harder. Momentum never gives you permission to coast. You are always fighting some sort of friction. If you stop adding the right amount of energy, momentum dies, and once it's gone, you may never recapture it. It costs multiplication. Multiplication is momentum that begins to compound. It takes a season of winning and turns it into sustained fruitfulness. But comfort interrupts that process. What should be multiplying suddenly starts getting managed, and management stalls growth. It costs maximum impact. The goal of a leader should be to make the greatest impact possible, leaving nothing on the table. We seek to give God the fullest return on our obedience. Comfortable leaders may stay busy, but they will never reach their maximum potential. Comfort does not destroy leaders. It limits them. Comfort becomes their ceiling. Signs You've Grown Comfortable • You reference past wins more than present opportunities. • You defend current systems more than you discern coming seasons. • You explain away holy discomfort instead of leaning into it. • You manage what exists rather than steward what God is birthing. Read those again slowly. One of them likely stung. Getting comfortable is where leadership stalls, not by failure, but in settling. You quietly trade significance for the status quo. How to Move Away From Comfort God asks, "Do you not perceive it?" He says something new is springing up. This means it is not the availability of opportunity, but your attentiveness to it. So where do we begin? 1. Start with what now feels easy. Where does your leadership no longer require faith? What can you do now without thinking that once caused you to push yourself? Ease is often the first warning sign of growing too comfortable. 2. Disrupt your routine. Growth rarely comes from big changes. It often begins with a simple disruption or change of rhythm. Delegate something you like controlling. Have the conversation you have been avoiding. Look for a new way of doing something old. 3. Choose a place to stretch your faith. Ask yourself where growth would require more faith than experience. Your maximum potential just might live on the other side of some discomfort. 4. Invite accountability into your comfortable spaces. Ask a trusted leader this question: "Where do you see me playing it safe or leaving potential untapped?" Invite feedback and discover where growth is possible. 5. Reignite hunger.Does your current vision still require God? If you fulfilled every current goal you have, would anything really change? Remember God's call on your life is immeasurably more. That has to mean more than the status quo, right? "Behold, I am doing a new thing," is an invitation to get uncomfortable again. Comfort will keep you where you are. Moving away from comfort will take you where you are called to be. Questions: 1. Where in your leadership have past wins quietly become present assumptions? In other words, what are you still doing primarily because it once worked, not because you are convinced God is calling you to do it now? 2. What area of your leadership currently feels safest, most predictable, or least dependent on God? How might that comfort be limiting your growth, influence, or maximum potential? 3. What specific discomfort is God inviting you to embrace in this next season? Name one concrete step you could take this week that would require faith, stretch your capacity, and move you away from maintenance and toward mission.
We are live at the A.I. Impact summit in New Delhi where Mistral CEO Arthur Mensch tells CNBC that a large proportion of enterprise software could end up heavily disrupted by artificial intelligence. German chemicals giant Bayer settles a $7.25bn litigation deal regarding of thousands of lawsuits over the roundup weedkiller. The agreement has pushed shares up by more than 7 per cent at yesterday's market close in Europe. The Reform UK party is to launch its plans for the OBR and the BoE later today but the central bank's independence is not up for discussion.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Psychedelic medicine is moving from the margins to mainstream neuroscience.
Today's episode is with one of the most brilliant minds at the forefront of AI advancement, Emad Mostaque. The first part of this episode will leave you ready to take advantage of AI's efficiencies, leverage its potential, and mitigate any potential risks. Emad cuts through the hype addressing the need for perspective, regulation, and the challenge of tackling bias in artificial intelligence. As he states very clearly in today's episode, “AI is not going to replace humans, humans with AI will replace humans that don't use AI.” This isn't just another chat about AI, it's a hard look at a future that's a lot closer than you think. What side of the playing field do you want to be on? Job automation and accelerating changes are just a fraction of the complexities, the future is fast and furious for those not taking part in these conversations. Get ready for insights that will make your brain melt and make sure you're equipped to thrive in the future. Follow Emad Mostaque: Website: https://stability.ai/ Twitter: https://twitter.com/EMostaque Learn more about your ad choices. Visit megaphone.fm/adchoices
The Brainy Business | Understanding the Psychology of Why People Buy | Behavioral Economics
In this episode of The Brainy Business podcast, Melina Palmer welcomes Patrick Leddin, co-author of the insightful book Disrupt Everything and Win. Together, they explore the concept of disruption not just as a force of chaos, but as a powerful tool for personal and professional growth. Patrick shares his unique journey, from a military career to entrepreneurship and academia, illustrating how embracing disruption can lead to a more fulfilling life. Listeners will discover the five roles of positive disruptors, including the trailblazer, torchbearer, and firefighter, and how these roles can help navigate change in both personal and organizational contexts. Patrick's compelling stories, including those of individuals who have successfully embraced disruption, provide valuable lessons on how to harness the power of change to create a life and career that truly align with one's values. As you tune in, reflect on how you can apply these insights to your own life and work, asking yourself the pivotal question: "Are you living a good life?" This episode is packed with actionable strategies and inspiration to help you take control of your future and disrupt the status quo. In this episode: Understand the concept of positive disruption and its significance in personal and professional growth. Learn about the five roles of positive disruptors and how to identify your own role in times of change. Explore inspiring stories of individuals who embraced disruption to create meaningful change. Gain insights into the importance of living a life aligned with your values and passions. Discover practical strategies for leveraging disruption to enhance your career and personal fulfillment. Get important links, top recommended books and episodes, and a full transcript at thebrainybusiness.com/564. Looking to explore applications of behavioral economics further? Learn With Us on our website. Subscribe to Melina's Newsletter Brainy Bites. Let's connect: Send Us a Message Follow Melina on LinkedIn The Brainy Business on Youtube The Brainy Business on Instagram
What if you could deliver all the benefits of traditional collagen without any animal ingredients? In Episode #204 of the PricePlow Podcast, we explore VC-H1, a revolutionary vegan collagen alternative derived from organically grown hibiscus. Eric Withee from Freemen Nutra returns to discuss the science behind this innovative ingredient, while Marc Bruggemann, an e-commerce expert specializing in Amazon strategy, reveals the massive untapped market opportunity for plant-based collagen products. Unlike traditional “vegan collagen boosters” that merely mimic amino acid profiles or throw together kitchen-sink formulas, VC-H1 delivers actual collagen peptides from a botanical source. At just 1.5 grams per serving, this clinically studied ingredient stimulates collagen synthesis through the same pathways as bovine or marine collagen (with price parity, organic certification, and sustainable sourcing from Laos). With 400,000+ annual searches for “vegan collagen” on Amazon alone and virtually no legitimate products to meet that demand, the timing couldn’t be better for brands to enter this blue ocean market. Subscribe to the PricePlow Podcast on your favorite platform and sign up for our alerts before we dive into this game-changing ingredient. https://blog.priceplow.com/podcast/vegan-collagen-freemen-nutra-vc-h1 Video: Vegan Collagen from Hibiscus: VC-H1 with Eric Withee & Marc Bruggemann https://www.youtube.com/watch?v=Tchb8BYjqpU Detailed Show Notes: Eric Withee (Freemen Nutra) and Marc Bruggemann Discuss VC-H1 Vegan Collagen 0:00 – Introductions Ben welcomes returning guest Eric Withee from Freemen Nutra and introduces Marc Bruggemann, an e-commerce expert with deep Amazon marketplace experience. Unlike typical podcast episodes that focus purely on ingredient science, today’s conversation takes a different angle by examining how innovative ingredients actually perform in the marketplace. Marc brings valuable perspective from his career building Amazon channels for supplement brands, including working at NutriBio Labs and Thrasio (the fastest company in US history to reach $10 billion valuation) before specializing in helping top-10 supplement brands dominate Amazon’s competitive landscape. 0:45 – Marc’s E-commerce Background and Amazon Expertise Marc shares his journey through the dietary supplement e-commerce space, starting with building Amazon channels and eventually working with some of the industry’s largest brands. His experience spans everything from product development to advertising strategy, taking brands from limited distribution to nationwide presence. This unique perspective on both the marketplace dynamics and consumer behavior sets the stage for understanding why certain ingredients succeed or fail on platforms like Amazon. Marc’s track record includes elevating multiple brands into Amazon’s top 10 supplement sellers, giving him invaluable insights into what drives consumer purchasing decisions in the crowded digital marketplace. 1:45 – Introducing VC-H1 Vegan Collagen Alternative Eric introduces VC-H1, a vegan collagen alternative that immediately captured Marc’s attention during their initial conversation. Unlike traditional collagen supplements derived from animal sources, VC-H1 is composed entirely of peptides… Read more on the PricePlow Blog
The bowel prep used before a colonoscopy does more than empty your colon; it strips protective mucus, wipes out beneficial gut bacteria, and weakens your gut's natural defenses right when they are needed most Research shows nearly half of people experience bloating, abdominal pain, or digestive distress for weeks after a colonoscopy, and these symptoms trace back to microbiome disruption rather than the procedure itself If you already have gut inflammation, inflammatory gut conditions, or low bacterial diversity, bowel prep increases tissue damage, allows harmful bacteria to escape the gut, and raises the risk of prolonged flare-ups Colonoscopy prep shifts the gut environment in favor of inflammatory bacteria by increasing oxygen exposure and reducing butyrate-producing microbes that keep the colon healthy and inflammation controlled Simple choices, such as split-dose prep, carbon dioxide inflation, supportive nutrition, and avoiding inflammatory fats, help protect your gut and speed recovery if you decide to undergo a colonoscopy
In this Daily Shift, Celeste explores why calm and steadiness can feel uncomfortable after long periods of survival or urgency. The impulse to disrupt what's steady isn't failure — it's familiarity trying to regain control. This episode is a reminder that peace doesn't mean stagnation, and steadiness is often the result of growth. You're allowed to stay with what's working. Small shifts create big change.
Sleep doesn't break because you forgot how to close your eyes. It breaks when anxiety trains your brain to stay on guard, and when quick fixes like alcohol, cannabis, or OTC sleep aids sedate you without restoring you. We team up with Australian psychologist and author Helen Dugdale to unpack how insomnia forms, why 3 a.m. wakeups become a habit loop, and the practical, evidence‑based steps that rebuild real rest—especially for people in recovery.Helen shares how anxiety sits at the core of most sleep problems and why the brain's plasticity is our greatest ally. We dig into Cognitive Behavioral Therapy for Insomnia (CBT‑I) basics—aligning with circadian rhythm, setting simple pre‑bed routines, and replacing catastrophic thoughts with repeatable behaviors—and explore how Eye Movement Desensitization and Reprocessing (EMDR) calms trauma so sleep skills can finally land. Expect concrete tactics: caffeine cutoffs tied to bedtime, screen boundaries that don't feel punitive, mantras that redirect attention, breathing and counting that occupy mental space, and progressive muscle relaxation you can run anywhere, even in a noisy room with the lights on.We also address the realities people with addiction face: unstable housing, tight budgets, caregiving, and long days that drain executive function. You'll hear how to build micro‑habits that fit into crowded lives—thirty seconds while the kettle boils, one minute before starting the car, seven minutes as “0.5% of your day.” We talk timelines for progress, what to do on rough days when HALT hits, and how to bounce back from relapse without shame. The throughline is hope: you are worth the effort, and repetition rewires nights. If you're ready to trade quick fixes for deep, durable rest, this conversation gives you a blueprint you can start tonight.Subscribe, share with a friend who needs better sleep, and leave a review with the one habit you'll try first. Your feedback helps others find the show.To learn more about Helen's work: https://australianbraincoaching.com.auTo contact Dr. Grover: ammadeeasy@fastmail.com
Dr. Nancy Satur is co-founder and medical director emerita of Curology, a skincare brand delivering personalized prescription treatments straight to customers' doorsteps. Dr. Satur earned her undergraduate pre-medical degree from Penn State, and her medical degree at Jefferson Medical College in Philadelphia. A board-certified dermatologist, Dr. Satur worked as a private practice dermatologist before becoming co-founder, medical director and dermatologist at Curology full-time.On this episode, Dr. Satur shares her experience growing up on a dairy farm in central PA, her path to becoming a dermatologist, and how she and her sons ended up building Curology, which has now served over 5.5 million patients nationwide.Later in the episode, current Penn State student Maya Anderson joins the conversation. Maya is a senior studying biotechnology in the Eberly College of Science. She is the founder and CEO of Vayla, a hair‑accessory brand engineered for durability, curl compatibility, and eco‑conscious materials. She won third place at the Happy Valley LaunchBox Pitch Fest and is currently a participant in the Happy Valley LaunchBox FastTrack Accelerator program.Episode Chapters:0:00 - 5:18 Growing up on the dairy farm eldest of 65:18 - 9:14 The rigorous 5-year Penn State - Jefferson College medical program experience9:14 - 12:48 Project USA, the ER, and working towards specializing in dermatology12:48 - 18:02 The launch of Curology18:02 - 21:46 Compounding prescription formulas in-house21:46 - 24:40 Expanding Curology's reach24:40 - 26:46 Rapid Fire Questions26:46 - 35:35 Student Questions27:27 - 28:37 Learning to delegate28:37 - 29:29 Startup finances29:29 - 31:24 Building customer trust31:24 - 32:45 Ensuring alignment across your team 32:45 - 33:46 Making decisions without all the answers33:46 - 35:20 Handling shifts in customer expectationsAbout Dr. Nancy SaturDr. Nancy Satur is co-founder and medical director emerita of Curology, a skincare brand delivering personalized prescription treatments straight to customers' doorsteps. Dr. Satur earned her undergraduate pre-medical degree from Penn State, and her medical degree at Jefferson Medical College in Philadelphia.About Maya AndersonMaya is a senior studying biotechnology in the Eberly College of Science. She is the founder and CEO of Vayla, a hair‑accessory brand engineered for durability, curl compatibility, and eco‑conscious materials. She won third place at the Happy Valley LaunchBox Pitch Fest and is currently a participant in the Happy Valley LaunchBox FastTrack Accelerator program. The Dare to Disrupt podcast is made possible by the generous support of the Penn State Smeal College of Business.
Hey BillOReilly.com Premium and Concierge Members, welcome to the No Spin News for Wednesday, February 4, 2026. Stand Up for Your Country. Talking Points Memo: Bill examines how the start of the 2026 Olympic Winter Games coincides with U.S.–Iran talks. Ryan Wesley Routh has been sentenced to life in prison after being convicted of attempting to kill President Trump. A look at Donald Trump's latest dispute with CNN's Kaitlan Collins. Jonathan Turley, law professor and author of Rage and the Republic, joins the No Spin News to weigh in on Americans veering left and how schools and the media have played a role in this shift. Trump's border czar, Tom Homan, announces he will pull 700 immigration agents out of Minneapolis. Final Thought: Don't miss Bill's one-on-one conversation with NFL legend Joe Namath, out tomorrow! Learn more about your ad choices. Visit megaphone.fm/adchoices
Text us your feedback or questions - we'd love to hear from you.Okay, you spotted the victim habit. Now what? If you listened to episode 66 and thought, "that is me,” this is your next step.If you have been in divorce stress, family conflict, or a rough life season, it is so easy to slip into patterns that keep you stuck, right? Not because you're weak. Because your brain is trying to protect you. But protection and progress are not the same thing.In this episode, I walk you through the ways you can disrupt the victim habits that are holding you back. These shifts in your thinking help you get your footing back (yes!), change the pattern, and start moving forward again…. without having to overhaul your whole life overnight.Want to get out of your own way? We talk about:How to spot the moment you are sliding into an old patternThe small changes that create momentum… fastWhy your environment and your inner circle matter more than people realizeWhat to do when you know better but still keep doing the same thingA mindset shift that helps you stop beating yourself up and start taking actionRESOURCESMEDIATION STARTER GUIDE: https://mailchi.mp/2939c428981d/mediation-resourcesKELLY'S BOOK: Victim Is Not Your Name https://a.co/d/e4VguRkAMEN CLINICS: (Dr. Daniel Amen): https://www.amenclinics.comBOOK MENTIONED: Resilient, Rick Hanson PhD https://a.co/d/05blH36PLEGAL & MEDIATION HELP: https://saperelawfirm.comINSTAGRAM: https://instagram.com/saperelawfirmFACEBOOK: https://facebook.com/saperelawfirm
Headline: Fatal Shark Attacks and Catastrophic Heat Disrupt Australia Day Guest: Jeremy ZakisA tragic shark attack killed a 12-year-old boy near Sydney, prompting beach closures across the region. Simultaneously, a severe heatwave causing temperatures near 120°F has triggered total fire bans, cancelling Australia Day fireworks and barbecues. Bushfires threaten Victoria while a cyclone approaches Western Australia.1842
Megyn Kelly opens the show by discussing the infuriating moment when anti-ICE activists reached a new low by storming a church during services, why these are "terrorists" who are targeting innocent Christians, and more. Then Michael Knowles, host of "The Michael Knowles Show," joins to discuss why the radical leftist protesters who interrupted the church service must be arrested, Don Lemon's involvement and how he joined with the agitators, the disturbing actions of these leftists, and more. Then Matt Walsh, host of "Real History with Matt Walsh," joins to discuss agitators terrorizing innocent people in Minnesota, Don Lemon's lies and stupidity, anti-ICE activists behaving like BLM activists in 2020, the effort to get random people to denounce ICE or get harassed, Ellen DeGeneres weighing in now, fake history lessons kids are taught about slavery, the truth about America and the global slave trade, why Walsh is digging into the truth about Native Americans as well, and more. Knowles-https://www.dailywire.com/Walsh- https://www.dailywire.com/show/real-history-with-matt-walsh Byrna: Go to https://Byrna.com or your local Sportsman's Warehouse today.3 Day Blinds: Head to https://3DayBlinds.com/MKfor their Buy One Get One 50% deal plus a FREE, NO charge, NO obligation consultation!Done with Debt: https://www.DoneWithDebt.com & tell them Megyn Kelly sent you!Birch Gold: Text MK to 989898 and get your free info kit on gold Follow The Megyn Kelly Show on all social platforms:YouTube: https://www.youtube.com/MegynKellyTwitter: http://Twitter.com/MegynKellyShowInstagram: http://Instagram.com/MegynKellyShowFacebook: http://Facebook.com/MegynKellyShow Find out more information at:https://www.devilmaycaremedia.com/megynkellyshow Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.