Podcasts about Mapping

Watch every episode ad-free & uncensored on Patreon: https://patreon.com/dannyjones Mario Beauregard, PhD, is a cognitive neuroscientist who studies the neuroscience of consciousness and mystical experience, including a study investigating the brain activity of Carmelite nuns. He is co-author of the book 'The Spiritual Brain: A Neuroscientist's Case for the Existence of the Soul'. SPONSORS http://amentara.com/go/dj - Use code DJ22 for 22% off. https://rag-bone.com - Use code DANNY & get 20% off sitewide. https://capl.onelink.me/vFut/zralgyl0 - Download CashApp today! https://chubbiesshorts.com/danny - Use code DANNY for 20% off. https://whiterabbitenergy.com/?ref=DJP - Use code DJP for 20% off EPISODE LINKS The Spiritual Brain - https://a.co/d/0cZDv6gn https://www.drmariobeauregard.com FOLLOW DANNY JONES https://www.instagram.com/dannyjones https://twitter.com/jonesdanny OUTLINE 00:00 - Dr. Beureguard's childhood mystical experience 03:52 - Discovering everything is connected as one 07:08 - Mario "downloaded" his life's mission 09:54 - Mario's failed journey to become a priest 15:44 - Mario's second mystical experience 21:08 - What Mario saw in Heaven 23:30 - Mario's biological markers say he's 20 years younger 29:19 - How Mario became a neuroscientist 30:07 - The roots of modern science 31:02 - When science lost its spiritual connection 34:27 - Testing memory molecules for Pfizer 36:00 - Pfizer pushed ineffective Alzheimer's drug in 1994 41:12 - Why Mario fled Canada during the pandemic 43:00 - Justin Trudeau paid off court judges during the pandemic 46:31 - The Catholic Church tried to bribe Mario 53:38 - Why the church is pushing new science 01:01:10 - Carmelite nuns study 01:07:00 - 1% of seizures trigger mystical experiences 01:09:57 - Johns Hopkins psychedelics + religion study 01:13:07 - Mario tested all drugs before experimenting 01:14:44 - Human psyche vs. consciousness 01:16:55 - "Consciousness" is the scientific God 01:21:56 - Non-physical information 01:25:17 - Where thoughts come from 01:30:14 - Holotropic breathwork to expand consciousness 01:34:58 - New consciousness research 01:38:02 - Who's funding consciousness research 01:40:11 - Studies on people who survived death 01:44:58 - Holosynthesis 01:49:33 - What happens when you "overdose" psychedelics 01:52:20 - Church-sanctioned psychedelic use 01:55:57 - Humans are behaving like robots 02:02:54 - Joan Jett's spiritual transformation 02:05:37 - NDEs vs. life reviews 02:07:21 - Memories of past lives 02:15:35 - How to expand consciousness using sound 02:21:30 - Bufo: DMT times 1,000 02:24:39 - Mapping neurological effects across religions 02:26:25 - The Dalai Lama's lesson on attention 02:32:04 - What the brains of uncontacted tribes might look like 02:37:55 - Explanation of the universe Learn more about your ad choices. Visit podcastchoices.com/adchoices

Artemis Updates, the Brian Nebula, and Galactic MappingIn this enlightening episode of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson dive into the latest developments in space exploration and celestial phenomena. From the shifting timelines of the Artemis program to the fascinating discoveries made by the James Webb Space Telescope, this episode is packed with cosmic insights and intriguing discussions.Episode Highlights:- Artemis Program Updates: Andrew and Fred discuss the recent delays in the Artemis 2 mission, which is now expected to launch no earlier than April. They also explore the implications of the newly inserted Artemis 3 mission, which will focus on testing spacecraft capabilities in Earth orbit before the lunar landing.- The Brian in Space: The hosts delve into the discovery of the PMR1 nebula, also known as the Exposed Cranium Nebula. They discuss its unusual appearance and the significance of the James Webb Space Telescope's observations that reveal this nebula's intricate structure, reminiscent of a brain.- Mapping the Galactic Center: Andrew and Fred highlight a groundbreaking survey of the center of our galaxy, revealing the complex dynamics and chemical compositions within this turbulent region. They discuss the technologies used in this research and what it means for our understanding of the Milky Way.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space

1165. Today, we talk with Joan Houston Hall to look at the monumental task of documenting how Americans speak. We look at the Dictionary of American Regional English (DARE), exploring the unique folk words that survive outside of standard dictionaries and how "word wagons" traveled the country to map the "egg turners," "pogonips," and "oncers" that define our regional identities. "Dictionary of American Regional English" (DARE) Support DARE by visiting the University of Wisconsin's giving page.

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

Paramount and DC sittin' in a tree! K-I-S-S-I-N-G! That's right, folks! The whole world's on fire, but we're still here, making things happen and talking about comic books! Things get a little heated on this week's episode as we debate the powers of the Scarlet Witch, bemoan the Pramount and Warner Bros merger, and gripe about the ongoing winter weather! If you're hoping for some true "old man" energy, look no further! Books: Absolute Batman #17, The Peril of the Brutal Dark: An Ezra Cain Mystery #1, Rogue's Gallery #1-4, Mapping the Interior (novel), My Husband's Wife (novel), Queen of Faces (novel), Resident Evil: Requiem, New History of the DC Universe: The Dakota Incident #1, Time to Shine (novel), Sorcerer Supreme #3, It's Jeff meets Daredevil, The Rocketeer: The Island, Elsewhere #1-8 Additionally, a message from your cranky uncle Bob (and a way to support him: https://www.gofundme.com/f/support-bob-reyer-a-hero-in-need). The Comic Book Podcast is brought to you by Talking Comics (talkingcomicbooks.wordpress.com). The podcast is hosted by Steve Seigh, Bob Reyer, Joey Braccino, Aaron Amos, John Burkle, and Bronwyn Kelly-Seigh who weekly dissect everything comics-related, from breaking news to new releases. Our Instagram handle is @TalkingComicsPodcast and you can email us at podcast@talkingcomicbooks.com.

FM: https://www.lotuseaters.com/author/firas-modad-12-05-202 https://www.modadgeopolitics.com/ https://x.com/firasmodad J: https://findmyfrens.net/jburden/ Buy me a coffee: https://www.buymeacoffee.com/j.burden Substack: https://substack.com/@jburden Patreon: https://patreon.com/Jburden GUMROAD: https://radiofreechicago.gumroad.com/l/ucduc Axios: https://axios-remote-fitness-coaching.kit.com/affiliate ETH: 0xB06aF86d23B9304818729abfe02c07513e68Cb70 BTC: 33xLknSCeXFkpFsXRRMqYjGu43x14X1iEt

Send a text Download the Cognitive Ladder diagnostic tools: MAAponte.Substack.comWe trace how a well-meant math intervention backfired, then build a clear method to predict ripple effects, delays, and unintended outcomes before they hit. Stories from school leadership and finance ground a practical playbook for mapping systems, reading feedback loops, and choosing better levers. You'll learn: • Linear fixes versus interconnected systems• Second and third order consequences• Delays, leading and lagging indicators• Reinforcing and balancing feedback loops• Mapping decisions and stakeholder incentives• Case studies from education and wealth management• A four-step systems playbook for leaders• A systemic solution to improve math without harming engagementREAL CASE STUDY: How I fixed the math problem with systems thinking: ❌ Linear solution: Extended time → 6% improvement, teacher burnout, attendance drop ✅ Systems solution: Partner with middle schools, summer bridge program, better instruction quality, diagnostic assessments → 12% improvement, 4% attendance increase, 94% teacher retention (up from 78%)Please don't forget to like, share, and subscribeIf you want to get better at system thinking... I write about this and so much more in critical thinking every week in my SubstackIf you sign up for the $10 a month Substack, you get a ton of tools and so much more behind the scenes and additional resourcesJoin the Substack... I will be creating what I like to call a thinking labMAAponte.Substack.comLinear thinking: Problem → Solution → Problem solved. Systems thinking: Problem → Solution → Creates new problems → Which create new problems → Which loop back to the original problem.KEY INSIGHT: Most organizational problems are caused by unintentional reinforcing loops creating vicious cycles. Most solutions fail because they ignore balancing loops that counteract your change. KEY FRAMEWORKS: Second-order thinking: Ask "And then what?" three times Feedback loops: Reinforcing (amplifies) vs Balancing (dampens) Leading vs lagging indicators: Watch attendance/stress (leading) not just test scores (lagging) Root cause vs symptom: Solve the problem, not the signal#SystemsThinking #SecondOrderThinking #Leadership #UnintendedConsequences #DecisionMaking #StrategicThinking #OrganizationalLeadership #FeedbackLoops #CriticalThinking #ComplexSystems Support the showJoin My Substack for more content: maaponte.substack.com

This week, Thomas sits down with celebrated speaker, posthumanist thinker, poet, teacher, and author, Bayo Akomolafe, for a philosophical and spiritual exploration into how we understand reality and the radical perception shifts and awakenings that are necessary for true social transformation to become possible.In his uniquely poetic way, Bayo interrogates traditional solutions to social and ecological problems that only uphold harmful norms, and offers that real change is brought about through what he calls “cracks”—disruptions to systems and modes of thinking that inspire new ideas instead of trying to bring about change via the ineffective paths that are already built into our failing social structures.He and Thomas discuss the discomfort that comes with ushering in new realities, and how important it is that we lean in to this uncomfortable uncertainty, embrace radical compassion, and rethink our relationship to the more-than-human world.✨ Watch the video version of this episode on YouTube:

In this episode of In Demand, Asia and Kim break down what value decline is, how it silently erodes net revenue retention, and why many SaaS companies are unknowingly creating long-term churn.  They explore the forces that drive declining value, including market shifts, competitive moves, and self-imposed product constraints. If your NRR is stuck below 80 percent, or if growth feels harder than it should, this episode will help you diagnose whether value decline is the hidden culprit. Got a question you'd like Asia to unpack on the podcast? Record a voicemail here. Links:  DemandMaven Continuous Discovery Habits by Teresa Torres In Demand episode pricing Chapters (00:00:30) - What value decline is and how it shows up in NRR and long-term retention.(00:04:00) - Market forces change the value your product or service creates.(00:06:30) - Signs that you're in value decline vs. value status quo.(00:09:20) - Mapping jobs to be done to uncover missed opportunities for value expansion.(00:16:10) - The three root causes of preventable value decline inside SaaS companies.(00:26:30) - Why good processes are key for avoiding value decline.(00:32:00) - Why customers will likely only tell you about quality of life improvements and bugs, but not real value generators.(00:38:00) - Sprint discovery versus continuous discovery and how to structure validation.

In this teaching practice byte (TPB), Dr. Brian Harrington discusses his SIGCSE Techincal Symposium 2025 paper on Literature Mapping, a scaffolded, scalable, low-overhead way to introduce undergraduate students to research and bootstrap a student research group. We discuss how literature mapping helps students practice reading many papers in progressively more depth. His process assigns each paper to two different students, builds in flexibility for students who leave partway through, and culminates in a publishable artifact that students can be proud of. Moreover, he has found this helps him build a community that goes beyond the students graduating. Dr. Harrington has packaged up his process into a GitHub Repository and would love for anyone to adapt what he does to their own school. See the transcript on the website (https://csedpodcast.org/blog/s4e15_lit_mapping)

For this episode of Brave New World, Evgeny is joined by Dr Sabine Donnai, a physician specialising in precision medicine, preventive health, and is the founder of Viavi Healthcare. They explore brain health beyond standard scans, discussing how gut function, inflammation, environmental exposure, and stress interact over time. Drawing on Evgeny's own test results, Sabine explains why she believes long-term cognitive resilience starts not with extreme biohacks, but with fixing the basics - particularly the gut. The conversation concludes with practical takeaways: reduce inflammatory foods, increase dietary diversity and fermented foods, support cardiovascular health, and avoid turning longevity into another source of stress. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Future Fuzz, Vince Quinn sits down with Sara Ceballos, Director of Marketing at Inspectiv, to explore how content can intentionally support every stage of the buyer journey.Sara breaks down why content isn't just blogs and white papers—it's a strategic system designed to move prospects from awareness to revenue. From mapping content to funnel stages, to identifying gaps through data analysis, to partnering closely with sales for real-world insights, Sara shares a practical framework for building content that converts.The conversation dives into attribution, dark funnel realities, empathetic marketing, and why content strategy must be both analytical and adaptable. If you're creating content without a clear path to pipeline, this episode will help you rethink your approach.Guest BioSara Ceballos is the Director of Marketing at Inspectiv, a company providing continuous security testing solutions that help organizations launch applications securely and protect their digital environments.With a strong focus on data-driven strategy, attribution modeling, and cross-functional collaboration, Sara specializes in aligning marketing content with sales insights to drive measurable business impact. She is passionate about empathetic marketing, buyer journey mapping, and creating content ecosystems that influence pipeline and revenue.TakeawaysContent must align intentionally with stages of the buyer journey.Data should guide content strategy—but sales conversations provide critical qualitative insight.The buyer journey is not linear; prospects may disappear and resurface months later.Dark funnel influence is real—attribution won't always capture everything.Mapping existing content to funnel stages helps identify strategic gaps.North Star metrics should tie back to meetings, pipeline, and revenue.One core piece of content can be repurposed across multiple channels.Empathetic marketing builds trust by addressing real pain points.Optimization requires fast pivots when content doesn't resonate.Distribution matters as much as creation—meet buyers where they already spend time.Chapters00:00 Introduction to Sara Ceballos 00:46 What Inspectiv Does 01:27 Building Strategic Content Campaigns 03:46 Mapping Content to Buyer Intent 05:18 Charting the Buyer Journey 07:20 Content Ecosystems and Repurposing 09:28 Attribution and Measuring Impact 10:44 The Non-Linear Buyer Journey 12:08 Aligning with Sales for Insight 13:54 Listening to Real Customer Conversations 15:45 Choosing the Right Content Formats 16:41 Empathetic Marketing in Action 17:41 Pivoting and Optimizing Strategy 18:53 Where to Find InspectivLinkedInFollow Sara on LinkedIn Follow Vince on LinkedIn

In today's show, I tackle two hot topics listeners have been asking about: tax planning in retirement and the role of life insurance in your golden years. Drawing from real questions and common scenarios. But that's not all: I also dig into the nuances of life insurance in retirement, explaining when it makes sense to keep or reconsider a policy, and how it can be a powerful tool for risk management, legacy planning, or supplementing income.    You will want to hear this episode if you are interested in... 06:03 Tax planning vs. preparation 11:17 Optimizing Roth conversions in retirement 16:05 Capital gains and tax strategies 18:37 Retirement income planning strategies 24:50 Survivor benefits explained  26:41 Life insurance for younger spouses 28:57 Whole life policy loan insights 32:41 Retirement life insurance benefits 39:35 Annuities, IRAs, and tax considerations Tax Planning in Retirement: Looking Beyond This Year Too often, tax strategies are left for CPAs or accounting firms during busy tax season, which is not the ideal time for personalized planning. Many people believe their taxes will drop in retirement and ignore future implications such as Required Minimum Distributions (RMDs), possible tax rate changes, or status changes like moving from joint to single filing after a spouse's death. I recommend a proactive, multi-year approach, planning not just for today but for years ahead. Mapping out your future retirement income and tax liabilities allows you to make strategic decisions that optimize withdrawals, conversions, and gifting options.   Key strategies include: Roth Conversions: Moving funds from pre-tax accounts (like IRAs or 401(k)s) to Roth IRAs can create future tax-free income. Timing is crucial; for example, the years before Social Security starts can be optimal for conversions without bumping up your taxable income. Roth Contributions: Don't forget about spousal Roth IRAs and annual contribution limits. In 2026, for couples over 50, you can contribute up to $17,200 combined to Roth IRAs (subject to income eligibility). Capital Gains Harvesting: Understanding the rules for primary residence sales and brokerage accounts means you can maximize capital gain exclusions and possibly pay 0% on gains when your income is lower. Charitable Giving: Proper planning can help you meet your philanthropic goals while minimizing taxable income. Gifting: Gifting appreciated assets helps save on future tax dollars, especially when gifting to individuals or charities.   Who Needs Life Insurance and Why? Life insurance typically protects against the financial risk of premature death in your working years, especially if you have dependents, debt, and income that others rely on. But its purpose shifts in retirement. Life insurance is not an investment; it's a tool to transfer risk. As you approach or enter retirement, your financial picture often changes, the mortgage may be paid off, children are independent, and asset balances may be at their peak. At this stage, you should revisit whether life insurance still fits your needs or whether your money could be better utilized elsewhere.   Life insurance can serve several purposes in retirement: For pension holders who opt for the "single life" payout, life insurance can provide financial security to surviving spouses or dependents if their pension stops at death. It also acts as bridge funding, where if an age gap exists between spouses, a policy can bridge the gap until Social Security survivor benefits begin (especially since these benefits only start at age 60 for most spouses). Some retirees use life insurance to ensure a tax-free inheritance for loved ones or to supplement other tax-free assets like homes (due to step-up in basis) and Roth IRAs. Hybrid life insurance policies can include riders for long-term care, providing benefits if care is needed and a tax-free payout at death. However, not all old policies continue to make sense. Whole life policies bought decades ago may have modest death benefits that no longer provide impactful coverage, and their cash values may be underperforming. It's worth reviewing these policies and considering whether surrender, exchange, or repurpose is wiser.  Resources & People Mentioned 3 Steps to Retirement Planning   Connect With Gregg Gonzalez Email at: Gregg.gonzalez@lpl.com Podcast: https://RetireStrongFA.com/Podcast Website: https://RetireStrongFA.com/ Follow Gregg on LinkedIn Follow Gregg on Facebook Follow Gregg on YouTube   Subscribe to Retirement Made Easy On Apple Podcasts, Spotify, Google Podcasts  

In this episode, featuring a webinar we ran this week, Tara Elie and Dr James Mannion explore a question that many school leaders are quietly wrestling with: Why do so many behaviour initiatives fail to deliver sustained change? Across the system, the signals are hard to ignore – rising suspensions, internal removals, persistent absence, staff exhaustion, and a growing sense that behaviour reform is absorbing huge energy without always shifting underlying patterns. In this conversation, we argue that two critical ideas are largely missing from the behaviour debate: - The psychology of mattering - Implementation and improvement science When combined, these lenses offer a more systemic, more hopeful way forward. Part 1: The psychology of mattering Tara introduces the concept of mattering, drawing on the work of Morris Rosenberg and contemporary positive psychology. Mattering has two components: feeling valued, and adding value. We explore: - The difference between mattering and self-esteem - What staff mattering looks like in practice - What “anti-mattering” feels like in schools - The emotional and behavioural consequences of quiet disengagement - Why belonging is an outcome of mattering – not the target itself We discuss how staff who feel unseen, unheard or replaceable may withdraw effort, reduce collaboration, and disengage in subtle but powerful ways. Conversely, when staff feel significant and influential, resilience, agency and motivation follow. The same applies to students. Part 2: Why behaviour reform so often stalls James explores a sobering question: What proportion of school improvement initiatives actually improve outcomes in a sustained way? We examine two core reasons change efforts frequently falter: - Teachers and leaders are rarely taught how to implement change effectively - Schools default to top-down, “black box” leadership models We unpack the risks of: - Compliance cultures - Groupthink - ‘Us and them' dynamics - Initiative fatigue And we introduce a more transparent alternative: the slice team – a representative cross-section of the school community that improves decision-making and strengthens buy-in. Root cause analysis: looking beneath the surface We then turn to a practical example. A widely cited statistic suggests that seven minutes out of every thirty are lost to low-level disruption. Rather than treating this as a behaviour problem alone, we demonstrate how to conduct a root cause analysis: - Identifying the trunk (the presenting issue) - Mapping the consequences - Investigating the roots across physical, emotional, relational, cognitive, behavioural and navigational domains The key insight: the same visible behaviour can arise from very different root systems. Behaviour reform without diagnosis is guesswork. Key ideas explored: - Mattering as a driver of culture - Anti-mattering and quiet withdrawal - Why belonging runs downstream of mattering - Black box vs glass box leadership - Slice teams as a mechanism for distributed ownership - Root cause analysis in school improvement - Why policy launch is not implementation - Habit change and “tight but loose” planning If behaviour is live in your context We are currently offering 20-minute Behaviour Strategy Calls for school leaders who would value a structured diagnostic conversation about behaviour, mattering and implementation. You can book here: https://calendly.com/rethinkingjames/chat-with-tara-james Further resources Download the Rethinking Behaviour guide - https://www.makingchangestick.co/rethinking-behaviour-free-guide Explore implementation science tools from Making Change Stick - https://www.makingchangestick.co

On the podcast: about the cost of not tracking your experiments and decisions, how refunds and chargebacks quietly erase your paywall wins, and why stacking A/B test wins should compound your growth, but almost never does.This conversation is shorter than usual and will be featured in RevenueCat's State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.Top Takeaways:

In this episode of Narcissist Apocalypse, we explore how autonomy gets suppressed in mother-daughter dynamics and introduce the early stages of a new mapping framework we've been building behind the scenes. By analyzing patterns across survivor stories, we're beginning to identify core drivers, identity amplifiers, and recurring control mechanisms that shape these relationships. From dominance and guilt to perfectionism, emotional withholding, enmeshment, and instability, we break down the different pathways through which autonomy can be eroded — and how those dynamics create distinct daughter adaptations. This is the beginning of a deeper structural approach to understanding abuse — not just as isolated behaviors, but as patterned systems. If this resonates and you'd like to share your story — whether publicly or privately — reach out. The more stories we examine, the clearer the patterns become. Click if you want to be a guest on our survivor story podcast, please send us an email at narcissistapocalypse@pm.me Click on the title to read about Coercive Control as Care: Signs & Patterns Sign up to our Domestic Violence Newsletter  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mapping Newberry Springs: Local Stories, History, and the Route 66 Centennial Celebration with Paul & Paula Deel.On today's episode of the Outdoor Adventure Series, we're exploring the heart and history of Newberry Springs, California, as we kick off celebrations for the 100th anniversary of the iconic Route 66. We're chatting with longtime residents and community leaders, Paula & Paul Deal, whose decades of experience offer a unique window into the evolution, character, and spirit of this desert community.Paula is the Board President of the Newberry Community Services District (newberrycsd), and Paul is the President of the Newberry Springs Economic Development Association (NSEDA).From tales of humble beginnings—dragging railroad ties to create roads, raising chickens, and running hardware stores—to reflecting on waves of newcomers and changing landscapes, Paula & Paul share how Newberry Springs has adapted and thrived.Listeners will gain insight into the town's rich history as a water stop for early travelers, its role in the expansion of Route 66, its ongoing efforts to promote sustainable economic development, and the personal stories that connect residents to the land.We'll also dive into local celebrations for Route 66's centennial, hear about creative solutions for building community, and get practical details about resources and upcoming events. Whether you're a Route 66 enthusiast, considering a move to a hidden gem, or simply curious about resilient small-town life, this episode is packed with inspiration and real-world wisdom from Newberry Springs.LEARN MORETo learn more about NSEDA, visit their website at https://www.nseda.net/.To learn more about the NewberryCSD, visit their website at https://www.newberrycsd.net/.To learn about Newberry Springs, CA, the Route 66 Big Birthday Bash, the Pistachio Festival, and much more, visit the Newberry Springs Chamber of Commerce at https://newberryspringschamber.com/ or on these social sites:Facebook: https://www.facebook.com/NewberrySpringsChamberInstagram: https://www.instagram.com/nbsp_chamberofcommerce/The Mother Road e-Newsletter: https://motherroadnewsletter.com/newsletter/NEXT STEPSVisit us at https://outdooradventureseries.com to like, comment, and share our episodes.KEYWORDSNewberry Springs Economic Development Association, Newberry Springs Community Services District, Newberry Springs Chamber of Commerce, Route 66 Centennial, Outdoor Adventure Series, Podcast Interview#NSEDA #NewberrySpringsCommunityServicesDistrict #NewberrySpringsChamberofCommerce #Route66Centennial #OutdoorAdventureSeries #PodcastInterviewMy Favorite Podcast Tools: Production by Descript Hosting Buzzsprout Show Notes by Castmagic Website powered by Podpage Be a Podcast Guest by PodMatch Banner Customization by Nano Banana & Canva

First up on the podcast, producer Meagan Cantwell talks to Contributing Correspondent Warren Cornwall about his visit to Brazil, where he observed firsthand what it takes for researchers to understand why bird populations in the Amazon and beyond are shrinking. Next on the show, Raouf Belkhir, an M.D.-Ph.D. student at the University of Pittsburgh School of Medicine and Carnegie Mellon University, joins host Sarah Crespi to discuss his Science Advances paper on a newly refined way to map awake patients' brains during neurosurgery. This week's episode was produced with help from Podigy. About the Science Podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Downtown Portland is full of vacant lots, surface parking, and struggling storefronts—and every one of them has a price tag. Sam and Jeremiah break down how they estimated the city's road and pipe costs, modeled new tax revenue from redeveloping a downtown highway, and started pushing for a vacancy fee. Their approach offers a clear template for linking land use to your city's bottom line. ADDITIONAL SHOW NOTES Local Recommendations:‍ Roste Chocolate House‍ PDX Coffee Club‍ Strong Towns PDX (site) Tiffany Owens Reed (Instagram) Do you know someone who would make for a great Bottom-Up Revolution guest? Let us know here!   This podcast is made possible by Strong Towns members. Thank you!

For this episode of Brave New World, Evgeny is joined by Dr Sabine Donnai, a physician specialising in precision medicine, preventive health, and is the founder of Viavi Healthcare. They explore brain health beyond standard scans, discussing how gut function, inflammation, environmental exposure, and stress interact over time. Drawing on Evgeny's own test results, Sabine explains why she believes long-term cognitive resilience starts not with extreme biohacks, but with fixing the basics - particularly the gut. The conversation concludes with practical takeaways: reduce inflammatory foods, increase dietary diversity and fermented foods, support cardiovascular health, and avoid turning longevity into another source of stress. Hosted on Acast. See acast.com/privacy for more information.

This is the second episode of our series based on interviews for the documentary film, Dreamers and Doomers, about the SF Bay Area in the last days before AGI. Steve interviews Jesse Hoogland, co-founder and executive director of Timaeus, an AI safety research org working on applications of Singular Learning Theory (SLT) for AI safety. SLT establishes a connection between the geometry of the loss landscape and internal structure in models. This connection is used to develop scalable, rigorous tools for evaluating, interpreting, and aligning neural networks. Jesse is one of the leading young minds in the new generation of AI safety researchers.https://www.jessehoogland.com/(00:00) - Jesse interview at FAR Labs, Berkeley (00:54) - Introduction (01:50) - From Physics to AI Safety (08:36) - AI Is Dangerous (26:08) - Funding, P(Doom), and Futures (56:21) - Trauma and Safety Vibes (01:00:39) - Asymptotic Guarantees Debate (01:03:54) - Mapping the Safety Tribes (01:26:09) - Timelines, AI Pause, and Failure Modes –Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

First up on the podcast, producer Meagan Cantwell talks to Contributing Correspondent Warren Cornwall about his visit to Brazil, where he observed firsthand what it takes for researchers to understand why bird populations in the Amazon and beyond are shrinking. Next on the show, Raouf Belkhir, an M.D.-Ph.D. student at the University of Pittsburgh School of Medicine and Carnegie Mellon University, joins host Sarah Crespi to discuss his Science Advances paper on a newly refined way to map awake patients' brains during neurosurgery. This week's episode was produced with help from Podigy. About the Science Podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Geographer, researcher, author and innovator Scott Tompkins joins the show to discuss his amazing and ambitious project Mapping Bigfoot. Tracking sightings from as far back as the 1800's up until today, with incredible filters and features to get lost in the research, are just some of the things that make this groundbreaking project so incredible. Scott dives into the work that went into the project, the experiences he's had along the way and what may be coming quickly over the horizon. You can find the website BigfootMap here. Scott's book Marmalade's First Adventure can found here. You can find more on my stand-up schedule, short films and more at: ⁠⁠⁠⁠⁠⁠⁠⁠https://ryansingercomedy.com/⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Commercial Free episodes here!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SpectreVision Radio is a bespoke podcast network at the intersection between the arts and the uncanny, featuring a tapestry of shows exploring creativity, the esoteric, and the unknown. We're a community for creators and fans vibrating around common curiosities, shared interests and persistent passions. Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence is already in social work and child protection, and its use is deepening. The question is: How safe, effective, and equitable is it? In this episode, David and Ruth talk with Dr. LaSharia Turner and Dr. Helen Fischle from Alabama A&M University about what ethical, human-centered, AI-driven tech should look like in social work education and frontline practice.As agencies face workforce shortages, austerity, high caseloads, and increasing complexity, technology is being introduced as a solution. But can AI actually support domestic violence–informed practice when child safety is on the line? Or does it risk automating bias, victim-blaming, erasing survivor context, and shifting responsibility away from systems and perpetrators as parents?We explore:What “human-centered” AI really means in child welfareThe risks of predictive tools and automationWhy social workers must have a seat at the technology tableHow to prevent tech from increasing survivor and worker burdenThe future of ethical innovation in high-stakes systemsIf you work in child protection, domestic violence services, family courts, behavioral health, or policy, this conversation is for you.Technology should enhance professional judgment—not replace it.Send a text Now available! Mapping the Perpetrator's Pattern: A Practitioner's Tool for Improving Assessment, Intervention, and Outcomes The web-based Perpetrator Pattern Mapping Tool is a virtual practice tool for improving assessment, intervention, and outcomes through a perpetrator pattern-based approach. The tool allows practitioners to apply the Model's critical concepts and principles to their current case load in realCheck out David Mandel's new book Stop Blaming Mothers and Ignoring Fathers: How to Transform the Way We Keep Children Safe from Domestic Violence.Visit the Safe & Together Institute website.Start taking Safe & Together Institute courses. Check out Safe & Together Institute upcoming events.

James Lindsay is a mathematician, author and founder of New Discourses: a media platform dedicated to dissecting radical sociopolitical ideologies. We discuss the woke left's roots in Maoist communism, how Marxism captured the west, and the outgrowth of radical leftism into what is now defined as the “woke right.”Follow New Discourses:https://newdiscourses.comFollow James on X:https://x.com/ConceptualJamesFollow Brave New Normal on X, Substack and audio streamers:https://linktr.ee/bnnpod This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit bravenewnormal.substack.com/subscribe

Rob Walling is a godfather of the bootstrapped SaaS movement — he's started 6 companies (5 bootstrapped), built and sold Drip for 8 figures, and created the infrastructure behind MicroConf, TinySeed (which has raised nearly $60 million and invested in over 210 SaaS companies), and Startups for the Rest of Us (820+ episodes over 15 years). But here's what surprised me: Rob told me he's more of a creator these days than a software founder. The guy who built and sold an email marketing platform now gets his dopamine from podcasting, writing books, and making YouTube videos. And his experience on both sides gives him a perspective on the vibe coding trend that I think every creator needs to hear. In this episode, we get into the actual mechanics of how Rob runs his business — the team of 11 people, the $100,000-$120,000 monthly payroll, the four brands he wishes were two. We talk about how he eliminated stress from his life through therapy, hiring owner-level thinkers, and handing the project management to someone else entirely. And we have a real conversation about why vibe coding a SaaS product is probably not the opportunity you think it is — even if you have a big audience. This is part 1 of a 2-part episode; part 2 lives on Rob's podcast, Startups for the Rest of Us. → Rob Walling on Twitter/X → Rob Walling's YouTube Channel → Startups for the Rest of Us (Podcast) → MicroConf → TinySeed → Drip (Rob's 8-figure exit) → SavvyCal (co-founded by Derek Reimer) Full transcript and show notes *** TIMESTAMPS (00:24) Introduction — why Rob Walling is a unicorn in the bootstrapped SaaS world (02:40) Mapping the full Rob Walling business ecosystem: podcast, MicroConf, TinySeed, books, YouTube (05:15) How Producer Ron keeps the trains running on time across four brands (06:44) Inside the team of 11: roles, full-time commitment, and why Rob stopped hiring part-time (07:53) The psychology of making your first full-time hire (and Rob's 8-year wait for MicroConf) (09:33) Moving from task-level to project-level to owner-level thinkers (10:27) Four brands, two LLCs — the insurance story behind the split and why Rob wants to consolidate (12:18) Why Rob doesn't want his name on everything (and the legacy question) (14:41) Identity shifts: from SaaS founder to serial entrepreneur to content creator (16:31) The vibe coding reality check: why building SaaS is 10x harder than creating content (19:09) Why SaaS churn makes recurring revenue harder than it looks for creators (21:04) The construction analogy: tool sheds vs. skyscrapers and where vibe coding breaks down (24:53) Data from 234 investments: only 10-15% of successful SaaS companies lack a technical founder (27:00) The bigger opportunity for creators: equity partnerships instead of vibe coding (29:00) 'Build your network, not your audience' — why audiences plateau for SaaS growth (31:53) A week in Rob's life: deep work Mondays, advising Wednesdays, and the 329 TinySeed founders (34:00) How Rob eliminated stress: therapy, delegation, and giving up project management (38:46) Hiring for high-functioning: screening for 'Producer Ron'-level operators (41:21) The positive tension of deadline stress and why containers make you ship (43:09) Post-exit motivation: 6 months of comic books, guitar, and getting bored into purpose *** RECOMMENDED NEXT EPISODE → ⁠#291: 48 Hours With Clawdbot: How I'm Using It and Initial Reactions *** ASK CREATOR SCIENCE → Submit your question here *** WHEN YOU'RE READY

Transitions can arrive by choice. And sometimes they arrive without asking our permission.In this episode of Connect Inspire Create, I chat with Ashley Jablow, founder of Wayfinders Collective and creator of Life Design School, to explore what it means to redesign your life during seasons of change.So what is Life Design, really?In our conversation, we explore: • How Life Design differs from traditional goal setting • How to begin when the ground feels unfamiliar • How clarity and courage coexist with grief • Why community matters in seasons of reinvention • What real-life courage actually looks likeI also share, gently, that I am newly navigating widowhood — a word I am still learning to say. Some transitions are chosen. Some are not. Both ask something of us.If you're in a season where the old map no longer fits, this conversation may feel steadying.Ashley is generously offering her free Clarity Kit — a 30-minute on-demand workshop to help you diagnose where you're getting stuck and get clear about the change you want to make.

Our monthly exploration of news inside the Disney Company. In this episode: - Trouble for Star Wars - Is Thanos returning both to Disney Parks and the MCU films? - Mapping out the Future of Avatar Bandcamp subscriptions - dhipodcast.bandcamp.com

View all cards mentioned in this episodeAndy and Anthony discuss how they think about themes within cubes. As always, our hosts beginning with a thorough defining of terms. They talk about how they think about thematically related sets of cards and how many they think can fit, or would want to, in a Cube. Andy has been exploring fitting a tight network of synergistic cards in his cube Take Five.They also talk about a new app Anthony built specifically for mapping synergies between cards within a cube. It lets you create a force directed diagram of every card in a cube and draw connections between individual or sets of cards. Give it a try with your own cube!Discussed in this episode:Regular CubeNew App: Cube Synergy MapperTake Five CubeAndy's Take Five VideosCommander Spellbook - Magic Combo DatabaseSacred GeometryShoeboxMagic Card List SpellcheckerIf you'd like to show your support for the show, please consider backing Lucky Paper on Patreon or leaving us a review on iTunes or wherever you listen.Check us out on Twitch and YouTube for paper Cube gameplay.You can find the hosts' Cubes on Cube Cobra:Andy's “Bun Magic” CubeAnthony's “Regular” CubeYou can find both your hosts in the MTG Cube Talk Discord. Send in questions to the show at mail@luckypaper.co or our p.o. box:Lucky PaperPO Box 4855Baltimore, MD 21211Musical production by DJ James Nasty.Timestamps0:00 - Intro3:01 - Cube Packages and Themes9:56 - Theme's in Anthony's Regular Cube14:41 - New App For Mapping Synergies withing a Cube16:46 - More Regular Cube Themes21:13 - Take Five and Combos23:07 - Theme Density25:12 - The Take Five Clown Car28:05 - Game Speed30:26 - Themes vs Good Cards34:35 - Fitting More Themes in Your Cube36:51 - Thematically Disconnected Cards40:29 - Synergies in Context47:03 - Wrap up

We look at the new European DORA and NIS2 regulations and how Certificate Lifecycle Management is a key requirement to meet these requirements. You will be surprised how explicit these requirements are.

This episode of The Africanist Podcast features a rich and thought‑provoking conversation with Dr. Mark Deets of the American University in Cairo, whose award‑winning monograph A Country of Defiance (Ohio University Press 2023) has reshaped scholarly understanding of the Casamance conflict in Senegal. In this episode, Dr. Deets walks listeners through the spatial and historical dynamics that have shaped the region's long‑running struggle, offering a perspective that moves beyond conventional political narratives. His approach highlights how geography, memory, and local identity intersect to produce a conflict that is both deeply rooted and continually evolving. The discussion brings clarity to a topic that is often misunderstood, making it accessible without sacrificing analytical depth. The book is both grounded and expansive, weaving together archival insights, fieldwork experiences, and theoretical reflections.    Music: Jammu Africa by Ismaila Lo; Jaàm by Julien Juga ft. Doudou Ndiaye Rose  

Gregory Zuckerman recounts the dramatic mapping and sharing of the COVID-19 genetic sequence, which launched global efforts to develop messenger RNA and adenovirus-based vaccines against the pandemic. 1

Let us know what you think!Hittin' the Bricks with Kathleen is the genealogy podcast that features your questions and her answers, with a focus on clear reasoning, historical context, and practical research methods. In this episode, Kathleen and John Brandt are joined by guest Denise Cross to explore how a one-place study transforms scattered historical records into a working model of a town—and how that model can be used to solve difficult genealogy problems.Denise shares practical methods for defining research scope, mapping census visitation routes to historical land parcels, and linking neighbors, deeds, taxes, wills, church, and newspaper records to uncover relationships that traditional research approaches often miss.In This Episode, You'll Learn• How to define a one-place study and choose a manageable scope • How to build a full-town research spreadsheet using census, deeds, probate, church, tax, and newspaper records • How neighbors and associates can help identify missing women in the historical record • How to map census visitation order to historical parcel maps • How to research frontier communities using indirect evidence • How place-based research supports surname studies and resolves endogamy challengesTopics Covered• One-place studies as a genealogy research method • Linking community networks to uncover family relationships • Mapping households to land ownership and movement • Frontier research with limited records • Endogamy and surname studies through place context • Registering and sharing one-place studies on WikiTree and research directories • Resources, webinars, and collaboration strategiesEpisode Discussion & Key MomentsDenise explains how building a place-based research framework allows genealogists to move beyond individual ancestors and instead understand entire communities. By organizing census, tax, probate, land, and church records into a town-level model, researchers can identify patterns, relationships, and identity clues that would otherwise remain hidden.The conversation also highlights how mapping census routes to historical land parcels helps clarify neighbor relationships, track movement over time, and provide indirect evidence—especially in frontier eras or communities with thin documentation.Key questions examined include:• How can a one-place study help solve identity problems? • What role do neighbors and associates play in genealogical proof? • How do researchers work effectively in communities with limited documentation?Why This Episode MattersWhen records are incomplete or identities unclear, understanding the place can be just as important as understanding the person. This episode demonstrates how community-level research strengthens genealogical conclusions and supports evidence-based reasoning.About the PodcastHittin' the Bricks with Kathleen is hosted by Kathleen and John Brandt and helps listeners turn scattered historical records into meaningful family narratives using modern research tools and practical methodology.Subscribe & ConnectVisit https://hittinthebrickswithkathleen.buzzsprout.com for more episodes and resources.Do you have aBe sure to bookmark linktr.ee/hittinthebricks for your one stop access to Kathleen Brandt, the host of Hittin' the Bricks with Kathleen. And, visit us on YouTube: @HTBKRB with Kathleen John and Chewey video recorded specials. Hittin' the Bricks is produced through the not-for-profit, 501c3 TracingAncestors.org.

Dr. Mario Senden is an assistant professor in the Department of Cognitive Neuroscience at Maastricht University in the Netherlands, where he has spent his entire academic career. He received his bachelor's in psychology in 2009 and his PhD in cognitive computational neuroscience in 2016, both from Maastricht. A pioneer in biophysics-aware deep learning, Mario is known for his work on how large-scale brain networks support communication, integration, and perception. His research spans mesoscale laminar microcircuits to the macro-scale connectome, and his functional whole-brain modeling framework combines large-scale anatomical structure with local dynamics and goal-driven computation — asking not just whether a dynamical regime is biologically plausible, but whether it actually supports perceptual and cognitive function.In this episode, Peter and Mario explore the cutting edge of computational neuroscience and whole-brain modeling. They discuss Mario's influential work on rich club networks, which showed how highly connected cortical hubs dynamically gate information flow during tasks, as well as the principles behind oscillatory behavior in neural systems. A central focus of the conversation is Mario's most recent paper, "The Evolving Landscape of Neuroscience," submitted to Aperture Neuro — a sweeping meta-scientific analysis of roughly half a million neuroscience articles published between 1999 and 2023. Using text embeddings, semantic clustering, and large language models, Mario mapped the structural organization of the field and identified emerging trends and future directions. The conversation also touches on the promise of interdisciplinary approaches, the growing role of AI tools in neuroscience research, and the broader challenge of integrating theories and data across scales and domains to truly understand the brain.We hope you enjoy this episode!Chapters:00:00 - Introduction to Dr. Mario Senden05:11 - Journey from Psychology to Computational Neuroscience10:01 - Understanding Cognitive Computational Neuroscience14:09 - Limits of Current Models in Cognitive Computational Neuroscience20:44 - Exploring the Rich Club Concept in Brain Networks29:22 - The Interplay of Cortex and Subcortex42:44 - Oscillatory Behavior and Network Coordination48:41 - Multi-Scale Modeling in Neuroscience57:49 - Exploring the Evolving Landscape of Neuroscience01:21:08 - Advice for Young ScientistsWorks mentioned:42:19 - Senden et al. (2017). Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior. https://doi.org/10.1016/j.neuroimage.2016.10.04448:27 - Pronold et al. (2024). Multi-scale spiking network model of human cerebral cortex. https://doi.org/10.1093/cercor/bhae40948:27 - Senden et al. (2024). Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance. https://doi.org/10.1093/nsr/nwad31857:50 - Senden, M. (2025). The Evolving Landscape of Neuroscience. https://doi.org/10.1101/2025.02.13.638094Episode producers:Ömer Faruk Gülban, Xuqian Michelle Li

It was a lot of fun having David Cho in the studio. David is a longtime media executive, having helped launch The Awl and Grantland. He's also a pretty great guy to talk about restaurants with, and we do that. We also discuss Postcard, a new restaurant discovery tool and community. Matt's a user, and thinks it's a great way to organize the restaurant recommendations that are constantly flowing through our world through a simple interface. We talk all about that and much more. And before that it's the return on Three Things. Aliza and Matt discuss: A scene check at New York's new favorite wine bar, Stars, and ​​Easy Joy Dim Sum & AYCE Hot Pot.  Also, we have a new favorite boxed cake mix: Oh So Easy. And we make visits outside of NYC to Golden Russet Cafe & Grocery, No Comply Foods, Zinnia's Dinette, and Random Harvest Market.  Subscribe to This Is TASTE: ⁠⁠Apple Podcasts⁠⁠, ⁠⁠Spotify⁠⁠, ⁠⁠YouTube⁠⁠          Learn more about your ad choices. Visit megaphone.fm/adchoices

This audio overview, titled "Under the Hood: Mapping Muscle Fiber Utilization to Training Zones" is a deep-dive overview where we explore the physiological anchors that define the QT2.0 training system. Rather than focusing on arbitrary percentages, we examine how Critical Power (CP) and Critical Speed (CS) serve as the definitive asymptote and boundary between physiological stability and instability.   We break down the transition of energy systems from the steady-state recruitment of Type I (slow-twitch) muscle fibers in Z1 to the Type IIA Oxidative and Type IIA Glycolytic fiber recruitment that characterizes the move through Tempo (Z2) and Threshold (Z3).   Finally, we look at what happens when you "raise the roof," moving into maximal aerobic intensities that recruit Type IIX fibers and draw from your finite anaerobic tank, known as W′ or D′.   Discover how understanding these internal shifts allows you to move beyond "no-man's-land" training and toward a truly deliberate and intentional approach to performance.   *This audio overview is AI-generated off of QT2 Systems' knowledge-base of source materials.

Brian sits down with Steve of Steve Searches to talk Bigfoot research, drone mapping, and going solo in the wild. Steve traces his fascination back to the Patterson–Gimlin film and The Legend of Boggy Creek, plus years of solo camping on a Montana farm. After military service, he built a career in drafting and mapmaking—eventually integrating drones into terrain mapping, a skill he now uses in Sasquatch research.Midway through the episode, Brian pauses to provide a detailed update on the disappearance of Kyron Horman (June 4, 2010, Skyline Elementary, Portland). He outlines the timeline, investigative shifts, focus on stepmother Terri Horman, reported inconsistencies, and alleged murder-for-hire claims. With renewed review efforts under a new DA in 2025—including digitization and planned FBI Behavioral Analysis Unit involvement—the case remains open. A $50,000 reward is still being offered for credible information.Back in the forest, Steve shares experiences from Gifford Pinchot National Forest and Mount St. Helens, including a 2008 incident near Ape Cave involving sudden silence and a strong animal odor. Around 2020–2021, he connected with regional researchers, began pro bono drone work, attended Squatch festivals, and launched Steve Searches (YouTube, Facebook, and blog) in 2023. He's since collaborated with Michelle Heaton, the Sweet Home Oregon Sasquatch Research Group, and Sasquatch Highway.Steve describes his evidence-first approach—mapping, measuring, documenting, and presenting findings without firm conclusions—while remaining open to high-strangeness elements. He also discusses solo field safety and recounts intense 2023–2024 encounters, including loud rock clacks, nighttime footsteps around his tent, and a large limb crashing across a road as he packed up—an event that ended the trip.Find Steve at Steve Searches (YouTube & Facebook), stevesearches.com, and his new project Planet Sasquatch, a developing hub for gear reviews and shared field techniques.Email BrianGet Our FREE NewsletterGet Brian's Books Leave Us A VoicemailVisit Our WebsiteBecome a supporter of this podcast: https://www.spreaker.com/podcast/sasquatch-odyssey--4839697/support.

This week on the Hemp Show, we widen the lens. Hemp is more than a crop — it's part of a larger material system that connects farms, forests, manufacturers, builders and cities. Architect and urban researcher Kaja Kühl joins the podcast to explain why she calls hemp and straw "indicator species" — materials that signal the health of a regional building ecosystem. Through her Bio-Based Materials & Construction Resources Map, she has been documenting the farms, processors and builders already working across the Northeast. In this conversation, we explore what it would take to scale regenerative construction from rural landscapes into dense urban markets — and why regional supply chains may matter more than centralized industrial models. We discuss: • Hempcrete as a carbon-storing wall system • Why moisture regulation and indoor air quality may be hemp's most overlooked strengths • Straw panel manufacturing and collaborative scaling models • The advantages — and challenges — of building in a dense Northeastern region • Housing as long-term carbon storage infrastructure Kühl also reflects on building two carbon-zero hemp homes in New York's Hudson Valley and what she learned working alongside early-stage material startups. As federal climate policy shifts, atmospheric carbon does not. If emissions oversight weakens, land-based carbon strategies — including fiber crops like hemp — only grow more consequential. This episode situates hemp inside a broader conversation about how we build, where materials come from and how regional economies can store carbon in the walls around us. News Nuggets Farm Bill / Hemp Language U.S. House Agriculture Committee – Farm, Food and National Security Act of 2026 (Draft Bill Information) National Hemp Association – Industry Response & Policy Updates USDA Hemp Production Program EPA Endangerment Finding EPA 2009 Endangerment Finding (Clean Air Act) Clean Air Act Overview (EPA) Learn More You Are the City – Kaja Kühl's Practice Bio-Based Materials & Construction Resources Map City College of New York – Architecture Columbia University GSAPP Bio-Based Materials Collective https://biobasedcollective.org Thanks to our Sponsor IND HEMP 

What can a drone actually do on a working ranch, and is it worth the cost?In this episode, Haylie Shipp sits down with rancher Kari Koss, The Nature Conservancy's Jason Hanlon, and Ranchers Stewardship Alliance Mapping Specialist Maida Knapton to talk about the real world uses of drones in agriculture. From checking water and locating cattle to mapping prairie dog towns and monitoring vegetation, this conversation focuses on practical applications for producers in large, remote landscapes like northern Montana.The group shares honest experiences about learning curves, price points, wind limitations, regulations, and how drones can shift from being seen as a toy to becoming a valuable management tool. Whether you are looking to save time, reduce miles on equipment, or gain a new perspective on your operation, this episode offers a practical look at how drones are being used on working ranches today.Topics Covered in This Episode • Using drones to check water, cattle, and remote pastures • Drone costs  • Wind, battery life, and real world limitations • FAA rules, airspace, and line of sight requirements • Drone use in conservation and mapping • Autonomous flight paths • Opportunity cost and time savings on a ranchReal Ranch Applications Discussed • Checking water sources in hard to access areas • Locating cattle before a gather • Counting hay bales from above • Monitoring infrastructure and flood irrigation • Year to year photo monitoring of rangeland • Mapping prairie dog towns and vegetation healthKey Considerations for Producers • Most consumer drones have built in safety features and are easier to fly than many expect • Wind and battery are often the biggest limiting factors on the Northern Plains • Entry level drones can cost a few hundred dollars while advanced mapping drones can cost several thousand • Current FAA regulations require pilots to keep drones within visual line of sight and under 400 feet • Airspace restrictions may apply near airports, military activity, or certain federal landsResources Mentioned • FAA Before You Fly app for checking airspace restrictions: https://www.faa.gov/uas/getting_started/b4ufly • Blue UAS Cleared List and transition information: https://www.diu.mil/latest/dius-blue-uas-list-to-transition-to-dcma • Ranchers Stewardship Alliance YouTube channel webinar on drone seeding with Steve Kenyon: https://www.youtube.com/watch?v=D3w7pqhGqCIThis episode is especially helpful for producers, land managers, and conservation partners who are exploring practical technology that can save time, reduce labor, and provide better insight into large grazing opeSupport the showThe Ranchers Stewardship Alliance (RSA) is a rancher-led, grassroots organization, dedicated to improving the quality of life for rural communities throughout the Northern Great Plains. Through collaborative conservation projects, rancher education events, and local community outreach, RSA works to strengthen our rural community, economy, and culture for generations to come.For more on the Ranchers Stewardship Alliance, head to www.RanchStewards.org and follow us on Facebook and Instagram. Your feedback is always welcome. Email info@ranchstewards.org. Want to support our mission? Visit www.ranchstewards.org/support.

Guest: Drs. Fiona Doetsch and Nozomu Yachie, Co-Chairs of the ISSCR 2026 Annual Meeting Program Committee, join the podcast to discuss what to expect at the upcoming ISSCR 2026 meeting taking place in Montreal, Canada from July 8 – 11, 2026. This is the world's largest and most comprehensive gathering dedicated to stem cell research and regenerative medicine, bringing together global leaders across basic science, technology development, translational research, and clinical application. They discuss the meeting's global focus, program highlights, and spotlight the many new invited speakers and expanded opportunities for trainees to present and network. Featured Products and Resources: Explore STEMCELL Technologies’ collection of technical videos and webinars on neurological disease modeling. Get a free wallchart showing how organoids are used as model systems to study infectious diseases, cancer, congenital disorders, and tissue regeneration. The Stem Cell Science Round Up HCMV Infection and Cholangiocyte Barriers – Scientists show that human cytomegalovirus infection induces epithelial–mesenchymal transition in cholangiocytes. Cross-Circulation for Liver Failure – Extracorporeal cross-circulation with genetically modified pig livers provided effective temporary liver support with minimal immune response in a human decedent model. How Sleep Loss Hurts the Gut – Researchers identified a sleep deprivation-responsive neural circuit that controls intestinal stem cell function. Mapping the Fetal Stem Cell Niche – Scientists demonstrate a central role of hepatoblasts in the regulation of fetal liver hematopoiesis and stem cell maintenance. Photo Reference: Courtesy of Fiona Doetsch and Nozomu Yachie Subscribe to our newsletter! Never miss updates about new episodes. Subscribe

MCAT CARS Reading Skills Workshop: Struggling to find the main idea on MCAT CARS passages? In this Jack Westin MCAT Podcast, Molly and Usher break down the Jack Westin Daily CARS Passage "Hamburger University" sentence-by-sentence, showing you exactly how to track competing ideas, understand arguments efficiently, and identify the most-supported argument even when the author buries it mid-passage.In this episode you'll learn:✅ How to read actively and ask "why?" at every step ❓

Brian and Kristen return after completing their homework: mapping their recurring conflict pattern step-by-step. And something shifts. Instead of focusing on who's right, they begin identifying when the pattern starts, how it escalates, and where they might choose something different. They talk about having a “good week,” more laughter, and fewer misunderstandings—but Zach presses deeper: Was it luck, or was it intentional? What unfolds is a layered conversation about stress, chronic pain, medication changes, PMS, defensiveness, and the powerful internal story Brian carries that says, “If there's a problem, it must be me.” Zach helps them connect the dots between depression's lies, physiological stress, and how quickly neutral requests can turn into personal threat. The couple names their 10-step pattern openly—fight or flight, overthinking, mounting a defense, physical withdrawal—and begins experimenting with something new: interrupting the script before it reaches step six. This episode isn't about resolution. It's about pattern awareness and learning how to redirect before old muscle memory takes over. They close by identifying the next layer to explore in Episode 3: their over-functioner / under-functioner dynamic—and how it triggers deeper family-of-origin wounds. Key Takeaways A “good week” is often intentional, not accidental Externalizing the problem (“us vs. the schedule”) strengthens the team Physiological stress (sleep, pain, hormones, meds) directly impacts conflict Depression distorts perception and reinforces “I'm the problem” narratives Defensiveness often protects something deeply valuable Mapping a conflict pattern creates space for choice Interrupting the script—even once—builds momentum Repair matters more than resolution “Something new” is the antidote to “more of the same” Learn more about your ad choices. Visit megaphone.fm/adchoices

Click Here to Get All Podcast Show Notes!Do you want to sharpen your decision-making skills? In this episode, Sharran introduces the "Decision Mapping Method," a framework designed to help you make better, more informed decisions. He explains the impact of our daily decisions on our lives.Drawing from his conversation with Richard Branson, Sharran shares a four-step approach to decision-making. By following this method, you can improve your judgment and take more deliberate actions that align with your goals. Whether it's for personal growth or business success, this framework is designed to provide clarity and confidence when facing tough choices.“A decision without action is just a thought.”- Sharran SrivatsaaTimestamps:01:12 - The importance of decision-making 02:25 - Learning from Richard Branson04:39 - The four-step decision-making process04:54 - Understanding the context08:31 - Isolating the issue11:15 - Accepting the risk14:46 - Mapping the decision 18:30 - How to use the decision-mapping methodResources:- The Next Billion by Sharran Srivatsaa - https://sharransrivatsaa.substack.com/- Acquisition.com - https://www.acquisition.com/- Board Member: ARC Multifamily Real Estate Investing - https://arcmf.com/- Board Member: The Real Brokerage - https://www.joinreal.com/Connect with Sharran:- Facebook - https://www.facebook.com/likesharran- Instagram - https://www.instagram.com/sharransrivatsaa/- X - https://x.com/sharran- LinkedIn - http://www.linkedin.com/in/sharran- YouTube - https://www.youtube.com/channel/UCzpl_gT1bVB1iNZl9yQbWuA?sub_confirmation=1- Threads - https://www.threads.com/@sharransrivatsaa

The Pipeliners Podcast is continuing a series on inline inspection (ILI) with Marc Lamontagne of the Lamontagne Pipeline Assessment Corporation. In this episode, host Russel Treat and Mr. Lamontagne discuss the important roles of geometry and mapping for inline inspection. You will learn about the caliper and geometry tools used for inline inspection, why it's important to have accurate maps to track the movement of a pipeline due to changes in the environment, why highly-trained people are critical to process the data produced by these tools, and more. Stay tuned for more episodes in this inline inspection series covering corrosion, cracks, deformation, and the data that is used in inline inspection. Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.

Welcome back to We Heart Therapy

Design is about more than just how something looks—it's about how it works for the people using it. On this episode of On Brand, I'm joined by Lee Hoddy, Executive Creative Director at Conran Design Group, to discuss how experience-led design can solve complex brand problems. We'll dive into how he leads multi-disciplinary teams to create meaningful work for global names like Sofitel and AstraZeneca, and why every great brand starts with a deep understanding of human needs, wants, and motivations. What You'll Learn in This Episode - How to map emotional friction points to find the gold in a brand experience - Why the pursuit of human endeavor is the key to branding functional industries like pharma - The reason storytelling acts as a sticky DNA thread across physical and digital touchpoints - How to conduct a multidisciplinary orchestra by surfacing the ambition in every brief - Why original ideas are the only way to escape the sea of sameness in an AI-driven world Episode Chapters (00:00) Intro (01:22) Getting to the heart of human motivations (02:43) Mapping emotional micro-moments (04:54) Humanizing corporate and functional brands (06:39) Using storytelling as a brand DNA thread (10:53) Leading multidisciplinary creative teams (14:35) Creating the Brief 2.0 (17:31) AI and the currency of original ideas (24:14) A brand that made him smile (27:41) Outro About Lee Hoddy Lee Hoddy is the Executive Creative Director at Conran Design Group, where he is responsible for maintaining creative standards and solving brand problems through experience-led design. With a career spanning decades, Lee has lived through major industry shifts, enabling him to lead diverse teams of designers, strategists, and experience experts like a conducted orchestra. He has spearheaded major rebranding programs for global names such as Sofitel, AstraZeneca, and Bicester Motion, always focusing on the deep understanding of human needs to create meaningful, strategically grounded work. What Brand Has Made Lee Smile Recently? Lee recently found joy in the "Venture Beyond" campaign by Hermes, noting its use of evocative illustrations and artisanal craft that respects the audience's intelligence. He also highlighted Apple's "Critter Carol" for its charming, deeply human approach to technology, using puppets and physical craft rather than CGI to celebrate creativity. Resources & Links Check out the Conrad Design Group website. Connect with Lee on LinkedIn. Listen & Support the Show Watch or listen on Apple Podcasts, Spotify, YouTube, Amazon/Audible, TuneIn, and iHeart. Rate and review on Apple Podcasts and Spotify to help others find the show. Share this episode — email a friend or colleague this episode. Sign up for my free Story Strategies newsletter for branding and storytelling tips. On Brand is a part of the Marketing Podcast Network. Until next week, I'll see you on the Internet! Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is the full replay of my live masterclass “This Is the Year We've Been Waiting For.” We move with the Fire Horse frequency - the energy that refuses delay, exposes where you outsource your authority, and demands that you live who you have already become. Inside this transmission, I share: Why the Fire Horse calls you out (and how agitation becomes direction) The difference between faith and passivity dressed as spirituality The balance of feminine receiving with masculine commitment and action My four leadership phases: Awakening → Integration → Execution → Stewardship Why Phase 3 (Execution) requires you to hold pressure without collapsing Why Phase 4 (Stewardship) is about carrying the flame and building environments where others evolve Writing prompts and live sharing that reveal what your own year is asking of you (and some shares have been removed to honour the person's deep vulnerability) If you've been preparing for years… if you've been devoted… if you've been becoming… this is the moment the Fire Horse points to: Stop incubating. Start delivering. Here are details for Beautiful Madness which commences in March.  Pre-sale fee available up until 18 February. https://www.giselegambi.com.au/beautiful-madness Timestamps 00:00 The Fire Horse will call you out (opening transmission) 00:14 Welcome + intention for the masterclass (fun + potency) 01:06 “My relationship with the Fire Horse is my relationship” + clear channel/downloads 02:23 Fire Horse as movement: delivery, materialisation, owning voice across new territory 03:10 Feminine leads, masculine commits — the new balance this year 04:20 Why this year doesn't choose inner vs outer worlds: it requires both 05:13 “This is the year you've been waiting for” + moving without knowing outcomes 05:36 Fire Horse = plot twists & pivots (including the tech/registration plot twist) 07:01 Years of devotion & preparation → now it's about living who you are 09:59 Personal plot twist: “I realised I'm a cancer coach” 10:52 Frequencies of the masterclass: self-honesty, authority, courage, humility, movement 13:06 Notes to Self practice + why it became communal (My Best Year Yet origin) 15:20 Mapping the 4 phases of leadership from Notes to Self 17:27 Phase 1 & 2 overview: Awakening + Integration 18:55 Phase 3 (Execution): results lag by design, “move,” hold fear + vision together 22:24 Phase 4 (Stewardship): “carry the flame,” build structures that stabilise transformation 25:01 It's a spiral, not linear — returning isn't regression (you can't unbecome) 27:13 Group reflection: where are you orientating in 2026? 28:10 Leslie share: “holy wholeness” + integration that makes stewardship possible 32:42 Notes to Self #1: “The Fire Horse Calls You Out” (self-honesty transmission) 34:51 Writing prompt: “In my self-honesty…” 35:30 Full reading: outsourcing power, divine assignments, gifts as responsibility 46:58 Sharing begins (Leslie) — crossing over into fuller expression of gifts 48:27 Tess share: self-honesty, nervous system care, unsubscribing from outsourcing power 56:06 Notes to Self #2: fear catalyst → “Big Mind With a Spine” 57:52 Question: “Are you willing to keep your ego vulnerable so your heart can thrive?” 60:24 Holding pressure, regulating self, staying true in vision (beautiful madness requires village) 71:53 Brian share: letting go of ego's need for evidence, agitation as catalyst 73:09 Big Yes / Big No as decision-making (closing what isn't aligned creates space) 75:17 Notes to Self #3: “Multiple Lanes & Where the Throne Now Belongs” 76:36 “We're sourced from the feminine — but the throne belongs in the world” 85:39 Guy share (Bali): “I'm the driver” — manifesting community, fear dissolving into momentum 93:05 Invitation to return + replay will be sent 94:17 Beautiful Madness invite: year container + breathwork (Tweed Heads) + village support 96:15 Leslie addendum: being held in community beyond calls (recordings + sharing space) 97:37 Final Qs + timing for Perth + close #IntuitivePullPodcast #ThisIsTheYear #FireHorseYear #NothingLeftOnTheTable #BeautifulMadness #Leadership #RadicalResponsibility #SelfHonesty #Authority #Courage #Stewardship #Execution #Integration #Awakening #Presence #Intuition #BigYesEnergy #IdentityShift #Torchbearer #MissionDriven #DevotionToDelivery #LoveIsTheMastermind #NotesToSelf #Village #MoveNow  

#400 In this episode, Guy interviewed astrologer Jeff Harman, who has studied astrology since 1975 and described his path from early skepticism to deep involvement with ancient, translated astrological and spiritual texts and Vedic Jyotisha, which he calls the "science of the light of the soul." Jeff explained key concepts such as tropical vs sidereal astrology, the precession of the equinoxes, and the idea that birth (first breath) "locks in" a chart that releases patterns over time through progressions, transits, and dashas, with Saturn framed as a timekeeper and "funnel into time and space." He presented a cosmology of multiple levels of creation, discusses consciousness as not localized to the brain (referencing near-death and out-of-body experiences), and described the lower emotional mind as an attenuator that can be transcended through spiritual practice while also mentioning pineal calcification and various environmental factors he believes dampen perception. Jeff conducted an on-air Vedic reading of Guy's chart, stating major life shifts around 2015–2018 and 2021 onward, discussing family dynamics (including his father's death in 2012), and predicting future timing themes such as further boosts in 2024 and a significant change around 2029, while emphasizing that astrology describes conditions and vectors rather than removing free will. The conversation closed with Jeff describing his services (personal and corporate electional work), defending astrology as a practical tool for informed decisions, and sharing examples from clients and podcasts involving disability after vaccination and nonverbal/autistic communication, with both agreeing to do a future episode. About Jeff: Jeff Harman is a world-renowned, second generation master astrologer, spiritual researcher and paranormal investigator, deeply versed in ancient and traditional systems. Known for working with everyday seekers, public figures and celebrities for 50 years. Jeff's unique interpretation of ancient astrology brings clarity, direction and understanding.  We are all souls on a unique journey.  Ancient astrology exposes what's unseen, answering life's biggest questions, and turning uncertainty and confusion into direction. Jeff brings both wisdom and a grounded, revealing, compassionate presence to every reading and conversation. Jeff offers corrective measures and works with clients to design custom talismans made with natural, untreated gemstones which are astrologically prescribed and set using ancient astrology. Jeff has solved numerous paranormal cases involving haunted dwellings, UAP-related phenomena, and instances of possession. He has also cleared individuals, homes, and commercial spaces affected by negative spiritual attachments. Key Points Discussed:  (00:00) - This Phase Is Different - The Turning Point Most of Us Didn't See Coming! (00:33) - Welcome In: Meet Jeff Harman + What This Deep-Dive Covers (01:54) - Guy's Updates: Events, Retreats, and How to Watch the Episode (02:26) - Jeff's Origin Story: From Skeptic to 50 Years in Astrology (05:50) - From Hand-Drawn Charts to Computer Astrology + Ancient Translations (07:13) - What Is Vedic/Jyotish? The 'Science of the Light of the Soul' (08:29) - Where Did Astrology Knowledge Come From? Yugas, Zodiacs & Precession (12:09) - Beyond the Universe: Dimensions, Divinity, and the Soul's Descent (17:23) - Conception vs Birth: When the Chart 'Locks In' + Time as Illusion (20:05) - Consciousness, the Third Eye, and the 'Interface' of the Lower Mind (24:07) - Saturn the Timekeeper: Karma, Free Will, and Earth as a Grounding Rod (29:20) - Applying It to Guy: Pulling Up His Vedic Chart + Tropical vs Sidereal (35:57) - Timing the Awakening: Key Years, Life Shifts, and Family Threads (36:51) - Remembering Dad: Loss, Timing, and the Start of Big Changes (37:04) - Family Karma & Childhood in Wales: Mother/Father Dynamics (38:14) - Mercury Period Breakthrough: 2021 Onward, 2024 Boost, 2029 Shift (39:51) - Where Astrology Came From: Ancient Egypt, India, Spirits & 'Angelic' Knowledge (43:58) - Time, Matter, and the 'War in Heaven': Demons, Atoms, and Cycles of Creation (47:04) - Kala Chakra Explained: The Infinite Loop of Time, Reincarnation, and Escaping 'Alcatraz' (50:02) - Mapping the Hard Years: Saturn Dasha, Trauma, and Turning Points (52:37) - Soul Progression & Past-Life Links: Healing the Mother Line and Early Emotional Shocks (54:59) - Chart Deep-Dive: Jupiter Midheaven, Time Lords, and Your Communication Gift (01:01:10) - Closing Wisdom: Readings, Free Will vs. Fate, Reaction as Power, and Final Thanks How to Contact Jeff Harman:jeffharman.com www.youtube.com/@JeffHarmanAstrologer   About me:My Instagram: www.instagram.com/guyhlawrence/?hl=en Guy's websites:www.guylawrence.com.au www.liveinflow.co

Tune in as the PU crew breaks down the Patriots Super Bowl LX loss to the Seahawks. We talk about everything that went wrong, including the offensive line's protection, Drake Maye's decision-making, the run defense, and more. We shed light on positive takeaways, including the secondary's performance from players Christian Gonzalez and Craig Woodson. We reflect on the season as a whole, commenting on the success of free-agent acquisitions, draft hits, and exceeding expectations throughout a full season of exciting moments. Plus, we look ahead to the offseason and discuss the glaring needs revealed during Super Bowl LX.See omnystudio.com/listener for privacy information.

Tune in as the PU crew breaks down the Patriots Super Bowl LX loss to the Seahawks. We talk about everything that went wrong, including the offensive line's protection, Drake Maye's decision-making, the run defense, and more. We shed light on positive takeaways, including the secondary's performance from players Christian Gonzalez and Craig Woodson. We reflect on the season as a whole, commenting on the success of free-agent acquisitions, draft hits, and exceeding expectations throughout a full season of exciting moments. Plus, we look ahead to the offseason and discuss the glaring needs revealed during Super Bowl LX.See omnystudio.com/listener for privacy information.