Podcasts about Mapping

As artificial intelligence becomes a strategic capability for nations as well as companies, questions of governance, safety, and geopolitical competition are moving to the forefront. In this episode of TechSurge, host Sriram Viswanathan speaks with Helen Toner, Interim Executive Director of the Center for Security and Emerging Technology (CSET) at Georgetown and a former OpenAI board member, about the rise of sovereign AI stacks and the global implications of increasingly powerful AI systems.Helen brings a rare vantage point from both inside the frontier AI ecosystem and the policy world. She reflects on lessons from her time on the OpenAI board, including the governance challenges that arise when nonprofit missions intersect with enormous commercial incentives and rapid technological progress. As AI capabilities accelerate, she argues that the industry is still grappling with deep uncertainty about how these systems work, how they will evolve, and what responsibilities companies and governments should carry.The conversation explores the idea of sovereign AI; the growing push by countries to control key layers of the AI stack, including compute infrastructure, models, and data. Helen explains why governments increasingly view AI as a strategic national resource, comparable to past transformative technologies like electricity or the internet. At the same time, she cautions that full technological independence may be unrealistic for most nations, given the complexity and global interdependence of the AI supply chain.Sriram and Helen also examine the evolving US–China AI competition, the role of export controls and semiconductor supply chains, and how different countries, from China to emerging AI hubs in the Middle East, are positioning themselves in the race to build advanced AI capabilities. Along the way, they discuss whether the industry should slow down development, how companies are experimenting with “safety frameworks” for frontier models, and why installing guardrails may be more realistic than attempting to halt progress altogether.Ultimately, Helen argues that society is entering a period of profound uncertainty. AI is transitioning from a research discipline into a foundational system that will shape economies, security, and daily life. Navigating that transition will require not just technical breakthroughs, but new approaches to governance, transparency, and global cooperation.If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform.Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and future Season 2 episodes.--Episode LinksConnect with Helen: linkedin.com/in/helen-toner-4162439aLearn more about CSET: https://cset.georgetown.edu/--Timestamps03:00 Lessons from the OpenAI Board: Governance in the Age of Frontier AI05:00 The Big Unknowns in AI Development: Why Experts Still Disagree12:05 Public Trust and the Risk of an AI Backlash14:20 When AI Became Infrastructure: From Research Field to Societal System16:00 Is AGI a Meaningless Term Now? Rethinking the Goalposts19:05 AI's True Scale: Internet-Level Impact or Something Bigger?23:15 Why Frontier AI Labs Struggle to Slow Down24:40 What “Sovereign AI” Actually Means for Nations28:10 Mapping the AI Stack: Chips, Cloud, Models, and Applications33:38 The US–China AI Competition: Who's Ahead and Why39:44 China's Progress in AI: Compute Constraints and Fast Followers44:03 US AI Policy: Export Controls, Regulation, and Federal Preemption48:40 Frontier AI Safety Frameworks: How Labs Define Dangerous Capabilities51:36 The Future of AI: Utopia, Industrialization, or Something Worse?56:04 Rapid Fire: AI Misconceptions, Governance Reforms, and Regions to Watch

How does ligand binding at the extracellular pocket of a GPCR reshape signaling on the intracellular side?Biased agonism is often measured through pathway activation assays, but the structural origin of ligand bias remains difficult to trace. Can molecular simulations reveal the communication routes that link ligand binding to G protein or arrestin signaling?In this conversation, computational biologist Anita Niveda explores how molecular dynamics and network analysis can map allosteric communication within GPCRs—revealing how microscopic structural pathways relate to macroscopic signaling outcomes. From discovering bioinformatics as an undergraduate to developing computational methods for quantifying ligand bias, the discussion moves through the scientific thinking behind modeling receptor signaling, collaborations between academia and industry, and how computational tools are becoming predictive instruments in drug discovery.Key Topics in This EpisodeHow molecular dynamics simulations reveal communication pathways connecting ligand binding sites to G protein or arrestin interfacesWhy mapping allosteric communication networks helps explain biased agonism in GPCR signalingWhat computational strategies can quantify ligand bias directly from receptor structuresHow receptor subtype selectivity emerges from subtle structural and dynamic differences in binding pocketsWhy academic–industry collaborations can accelerate method development in receptor pharmacologyWhat career decisions shape the path from computational biology training to drug discovery rolesTimestamps0:00 A structural question behind ligand bias1:30 Introduction and scientific background3:40 Discovering bioinformatics and computational biology7:30 First encounters with GPCR structural biology9:40 Finding and choosing a postdoctoral lab16:40 Entering GPCR research and allosteric communication18:20 Quantifying ligand bias using simulations20:00 Mapping signaling pathways through receptor residues23:30 Academic–industry collaboration with Boehringer Ingelheim27:00 Moving from academia to industry research35:00 Interviewing and transitioning into biotech45:00 Aha moments in computational GPCR research50:00 The diversity of GPCR families and signaling biologyKeywords: GPCR podcast, GPCR signaling, biased agonism, drug discovery, receptor pharmacology

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Every year we try to dedicate an episode of Talking Taiwan to 228, an important date in Taiwan's history, marking the 228 Massacre. 228 stands for February 28 1947. February 28th is now commemorated as a national holiday in Taiwan known as the 228 Peace Memorial Day. Related Links: https://talkingtaiwan.com/kita-foundation-mapping-the-path-of-the-trailblazers-that-paved-the-way-for-taiwans-democracy-and-freedom-ep-342/   However, the 228 Massacre is not confined to this single date in history. There were circumstances leading up what happened on February 28th and there were also subsequent events after February 28th which escalated into bloody violence and massacres leading to what some refer to as the March Massacre.   Under the authoritarian Chiang regime, and Chinese Nationalist Kuomintang, what followed after 228 was 38 years of martial law and the White Terror era. Anyone could be disappeared, executed or worse for just saying or doing the wrong thing, or for what was seemingly wrong in the eyes of the authorities. The people of Taiwan were horrified and terrified. For decades there was denial and suppression of 228 by authorities in Taiwan, and generations dared not speak of 228.   228 was absent from high school textbooks until relatively recently. To learn more about the specifics of 228 I invite you to listen to some of our past episodes on the topic. We recommend episodes 309, 277, 228, and 172.   In an effort to confront its authoritarian past, in recent years Taiwan has taken steps to acknowledge historical sites of injustice such as buildings where military police fired on civilians on February 28, 1947. Around this time of year, around February 28 and leading into March, it's a time to reflect on the past, and what we can learn from it.   So in the vein of reflecting on the past, this year I thought I'd share my interview with Sabrina Liu and Meng Chiang who are part of the team that makes up the KITA Foundation, an organization that was formed as an oral history project to understand who are the trailblazers that paved the way for Taiwan's democracy and freedom.   Related Links: https://talkingtaiwan.com/kita-foundation-mapping-the-path-of-the-trailblazers-that-paved-the-way-for-taiwans-democracy-and-freedom-ep-342/

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In which Dr. Jey McCreight joins us to discuss all things X-Genetics! X-PLAINED: The genetics and taxonomy of Marvel's merry mutants NEXT EPISODE: The Morrison run begins! Follow Dr. Jey on Bluesky, and check out Beyond X and Y! Find us on Apple Podcasts or Spotify! Jay and Miles X-Plain the X-Men is 100% ad-free and listener supported. If you want to help support the podcast–and unlock more cool stuff–you can do that right here! Buy rad swag at our Dashery shop!  

Sam Jacobs (CEO, Pavilion), AJ Bruno (CEO, QuotaPath), and Asad Zaman (CEO, Sales Talent Agency) debate exactly how to handle team members resisting AI adoption. When to leave them, when to nudge them, and when to fire them. The discussion highlights real-world data, including how leading companies reach the top decile of AI adoption and the mechanics of running a 24-hour, four-squad AI hackathon to force experimentation. We also cover a critical performance heuristic from the past CPO of LaunchDarkly: if your team cannot execute simple tasks in a single day, you are falling behind. The conversation covers change management for revenue leaders, how to integrate AI into your daily enterprise pipeline generation, and why optimizing your GTM strategy means making hard decisions about personnel who refuse to adapt. Key Takeaways: >Driving AI adoption requires clear communication and rewarding good behavior, but AJ Bruno warns that leaders will ultimately have to "leave behind a handful of folks that are just not going to get on the bus, that aren't getting on board." >When implementing new AI tools across your teams, Asad Zaman notes that expectations must scale with seniority, stating "I have more tolerance as I move lower in the org and less tolerance at the higher levels." >AI should be treated as a creative partner for deeper analysis rather than a shortcut for unedited output, a reality Sam Jacobs emphasizes by warning "If you are just the pass through, you will be fired." Connect with the Hosts Host: Sam Jacobs - https://www.linkedin.com/in/samfjacobs/  Host: AJ Bruno - https://www.linkedin.com/in/ajbruno3/  Host: Asad Zaman - https://www.linkedin.com/in/azaman1/   Topline is more than a YouTube Channel:  Subscribe to Topline Newsletter: https://www.joinpavilion.com/topline-newsletter  Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast  Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack Chapters: 00:00 Intro 00:35 The Question: Employees resisting AI 01:39 Convert them or fire them? 02:07 Running internal AI hackathons 03:54 How CEOs drive adoption 05:08 Mapping tasks to AI agents 06:27 The "Robot Layer" in emails 07:40 Claire Vo's anti-dinosaur framework 08:07 The One-Day Execution Heuristic 12:52 Why you should be scared 14:30 Elevating junior AI talent 16:35 Reducing 3 hours of work to 45 mins 18:54 Summary: How to uplevel the org 21:09 The tension between speed and depth 21:52 Pass-through? Fired! FIRED!!!  

Disclaimer: this episode is based on my proprietary behavior mapping system. This system is used in conjunction with a discovery conversation I have with an individual. In the case of mapping public figures this is purely an independent analysis and opinion based on publicly available research. See citations below article. Transcript: You’re probably like me in that you’re a very visual person. (see below!) Well, hey there. Welcome back. Let’s talk Elon Musk. But before we do that, let’s talk about behavioral mapping and my book BeCAUSE!. Freud’s Pleasure Principle: Monsters and Unicorns Okay, wait. We have to back up from that and we have to talk about Freud’s pleasure principle. If you are an old fan of this show, you’ve probably heard me say this a bunch of times, but let’s sum it up really quickly. Freud’s pleasure principle is based on the fact that we are binary individuals. We seek pleasure, we avoid pain. Everything and anything we do is broken down into those things. I’ve had a number of episodes on this and the book BeCAUSE! is based on this, but I give the seeking pleasure and the avoiding pain a face. The seeking pleasure is a unicorn and the avoiding pain is a monster. They are neither good nor bad. They are not devils and angels. They simply are. Visualizing Behavior: My New Mapping Software After the book BeCAUSE! came out, I ended up developing patent pending behavioral mapping software. It’s software that allows me to actually map this stuff out. And you’re probably like me in that you’re a very visual person. This episode might be a little bit longer than my self-imposed 10-minute limit, so please bear with me. Paradoxically, when I talk about Elon Musk, I actually want you to not be thinking of him, but to be thinking of you. Every episode of this podcast starts out as an article on Alchemy for Life. This one is no different, and you’ll be able to see the visual mapping on the site if you’d like. You can follow along on there or if you’re listening in your car, you can just visualize based on what I’m telling you. Deconstructing Elon Musk: The Childhood Trauma Most people are familiar with Elon Musk. He’s a rather polarizing person. He’s someone who won’t stop talking about going to Mars and now the moon. He’s someone who created an empire. He owns Tesla, SpaceX, Twitter, now X, the Boring Company, and X AI. He’s had some romances. He’s currently not married and he has a lot of children. What most people don’t know is what I actually found out in the map showing why all of this is happening. And again, because audio is literally linear, meaning you talk in a straight line, you stop it. You can’t go into branches and things like that. It’s a little harder in audio to tell you what something on a screen can tell you, but I’ll do the best I can. When he was young, the family dog bit him. It was actually a pretty vicious bite, but he was terrified that the dog was going to be put down. He needed medical attention, but he kept refusing it because he said, “You need to promise you’re not going to put the dog down.” Unfortunately, they put the dog down. And this was a very traumatic thing. And I can imagine for myself, and I’m sure you’re thinking about this, too, that’s a very traumatic thing to have to go through. You blame yourself. You think, well, maybe there’s something I could have done to not have the dog bite me. It’s horrible, horrible feeling. And it’s a feeling of losing something and someone that’s really important to you. You feel like you’re literally responsible for the death of a living creature. and that you have no control. So imagine that. It puts a pretty strong pleasure center. It puts a pretty strong unicorn in place that says, “Hey, follow me and you’ll have more control. You want more control.” Yes, I want more control. As with a lot of things, sometimes you also have the opposite in place. You have a monster that says, “It really feels bad to lose control.” And I’m sure you can understand that. I’m sure there are times in your life when you’ve lost control for some reason and you vowed to never lose that control again. Whether you were placed in a very unfortunate position due to your job or relationship or or even in your childhood The Teenage Existential Crisis when he was a teenager and we all remember just how wonderful and clear thinking we were as teenagers. He read both Shopenhau and Nietzsche. And I’ll tell you that Nichi is actually on my wall among five other people. But it’s not exactly something you would read out loud at like a children’s birthday party. So for him, he deeply regretted reading that stuff because it created in him an existential crisis. And imagine that’s essentially what being a teenager is, is having an existential crisis. You you question life. you’re halfway between being an adult and being a child. So reading that created in him a monster of avoiding the feeling of having existential dread and personal meaninglessness. We all want purpose in our life. Imagine removing that as a teenager. Imagine questioning all of that and saying, “Oh my god, this feels terrible. I I I can’t experience this.” So, conversely, it creates the unicorn that makes it feel really good when you feel purpose and meaning. It’s the same one most of us would have. The Scars of Bullying and Humiliation When he was in school, he was severely bullied and beaten basically to the point of not being recognizable. Some of us were bullied, maybe all of us were bullied. And it tends to shape us sometimes in bad ways and sometimes in good ways. But to compound this, when he came home to his father, his father blamed him for this and made him stand for 2 hours while he bered him and called him a loser. How would you respond to that? How would you psychologically speaking respond to that so that it would never happen to you again? You would have a monster that would be very strong in making sure you avoid humiliation and being vulnerable. And from the bullying, obviously you would have a monster that would say, “I’m never going to be bullied again. Never.” This is probably the first time you’re hearing about a lot of this stuff. Probably what you tend to hear about Elon Musk is his purchase or he makes a decision that you think is chaotic or egotistical. you’ve probably never heard any of this other stuff unless you have read his bio or multiple bios and things like that. Connecting the Trauma to the Billionaire’s Actions So, now that you know the monsters and unicorns that he has in place, what actions did these cause? Well, let’s go through them. If you’re trying to avoid the pain of bullying and the monster keeps getting in the way and saying, “You’re going to be bullied. Don’t do that.” Wouldn’t you be a bit combative on social media? Wouldn’t you make sure that in an interview you’re not going to be bullied? Wouldn’t you make sure that when you are dealing with the feds or other court systems or other CEOs that you would tend not to back down? In fact, maybe even not back down even when it’s to your detriment. If you’re avoiding the pain and fear of scarcity because of what happened with your dog and that you had no control over that, and you’re avoiding the pain of humiliation and especially vulnerability and bullying because of the place you’re in as someone who is almost a trillionaire, would it not affect your approach on forming a family? If you are married and have children, you are in a position of vulnerability. You have more vulnerability right now than someone who, let’s say, doesn’t have children or isn’t married. If you’re in a loving relationship, that’s part for the course. It comes with the territory. It’s something you welcome. But if you combine a fear of scarcity and you’ve developed a sort of pleasure for having absolute sovereignty and control of any and all outcomes and you have a terrible monster that makes it feel horrible. If you are losing control, you would be in a unique position to want to perpetuate the human race, but not in a traditional way that causes vulnerability. which is why he has 14 children across four different women and he is presently not married to any of them. This monster for avoiding pain and the fear of scarcity, working together with this pleasure of having absolute sovereignty and control and this extremely strong unicorn pulling him towards the feeling of purpose and meaning would obviously lead him to the creation of Space X so that he could continue to make the race multilanetary. Oh, and that monster telling him that scarcity feels bad, he helps as well. And guess who’s also looking over his shoulder? The monster that’s avoiding him having the feeling of existential dread and personal meaninglessness. You’re definitely listening to that monster if you are trying to perpetuate the human race on another planet. If you are avoiding losing control and you certainly enjoy the absolute sovereignty of being able to change the outcome and you enjoy the feeling of purpose and meaning and you’re terrified of having existential dread and personal meaninglessness, would you not purchase the most well-known social media platform in your attempt, at least according to you, to save free speech? Mapping Your Own Monsters and Unicorns Whether you’re a fan or not of Elon, whether you’re completely neutral or not, you can’t help but empathize with some of the things I’ve described. And like I said, you’re more likely to think of you than of him in these situations. What would you do? What have you experienced? What emotional turmoil have you gone through? What horrible things have you gone through in your childhood, in your teens, and even in your adult life that have shaped who you are? Those things just don’t go away. They stay with you for life. Your monsters and unicorns sort of show up and they take residence in your brain. If it sounded a little bit like I was all over the map, well, quite literally, I was. I worked through the visual map that I’m looking at right now and it’s the same one you might be looking at or that you will look at after the podcast. I found the research on this fascinating and I did find that things logically led to other things. It the pattern, the map, it all just sort of unveiled itself to me based on what I have created and what I have established. I didn’t run into any dead ends. I didn’t find something that contradicted something else. It all actually made sense. And that’s what led to the writing of BeCAUSE!—it all just continued to make sense and make sense and make sense and sometimes in an unnerving way. Look, I understand we don’t want to be deconstructed. We we we want to feel whole and sometimes thinking about monsters and unicorns and little programmatic psychological building blocks can sometimes be a little bit unnerving, but it can also be revealing. And the beauty of this is that it’s neither good nor bad. Sure, you can have a monster in place that’s doing something that’s really messing up your life, but that same monster might also be helping you in another aspect of your life. It’s about you recognizing it and not allowing it to have the control over your life that you don’t want. And ultimately, you stay in the driver’s seat. Conclusion So, I hope you enjoyed this. I did. I certainly enjoyed mapping all this out and doing the research. In fact, I did this for two other people. It made me reflect on my own monsters and unicorns, and I hope it did the same for you. If you’re indeed curious, feel free to pick up a copy of BeCAUSE!. And if you’re curious about your own map, let me know. The behavioral mapping done, purely as an independent analysis and opinion based on publicly available research. Episode Sources & Citations: The Childhood Bullying & His Father’s Reaction: * Source:Elon Musk by Walter Isaacson (Published September 2023). Context: Isaacson’s authorized biography details the specific incident where Musk was beaten so severely by bullies he was hospitalized for four days. Upon returning home, his father, Errol Musk, made him stand in front of him for two hours, called him a “loser,” and sided with the boy who attacked him. The Teenage Existential Crisis (Schopenhauer and Nietzsche): Source: Multiple interviews, including a notable deep-dive interview detailed in CleanTechnica (2018) and referenced in Isaacson’s biography. Context: Musk has publicly stated multiple times, “We happened to have some books by Nietzsche and Schopenhauer in the house, which you should not read at age 14. It is bad, it’s really negative.” He credits this period of reading with triggering a severe teenage existential crisis, leading to his lifelong obsession with finding “the meaning of life” and “understanding the right questions to ask” (which birthed the Unicorn of seeking purpose). The Dog Bite Trauma: Source: Elon Musk by Walter Isaacson (2023). Context: The biography details the incident where a young Elon was viciously bitten by a dog. He refused medical treatment until he was promised the dog wouldn’t be put down. The adults broke the promise and put the dog down anyway, cementing his early trauma regarding powerlessness, scarcity, and broken trust. Family Structure (14 Children / 4 Women): Source: Forbes Billionaires Profile (Updated March 2026). Context: Forbes officially verifies that Musk, driven by his vocal fears of population collapse, has fathered 14 children with four different women (including multiple sets of twins and triplets) and is currently not married.

Send a textThe good news of the Gospel is God's irresistible force and it is "unstoppable."  It will find a way to move forward.Acts 10:24-29, 44-48"Yet I still dare to Hope..." - Lamentations 3:21 PODCAST HOME: daretohopepodcast.buzzsprout.com/ EMAIL: hope@dare2hope.life FACEBOOK: Dare to Hope Ministries WEB: www.dare2hope.life BOOK: "Mapping a Life of Hope" Order here: https://a.co/d/0gj9wVif

Marty sits down with Brian Murray and Paul Itoi to discuss the convergence of AI agents, graph databases as a solution to LLM memory limitations, and Bitcoin's Lightning Network as the native payment rail for the emerging agentic economy. Paul on X: https://x.com/paulitoi Brian on X: https://x.com/murr STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/VJ2dABShBz Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Bitkey https://bitkey.world/ OPNEXT https://tinyurl.com/tftc2026 Unchained https://unchained.com/tftc/ SLNT https://slnt.com/tftc Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/

In this episode of SparX, we sit down with Priyamvada Natarajan, theoretical astrophysicist at Yale University and author of the acclaimed book "Mapping the Heavens", for a wide-ranging conversation about black holes, dark matter, alien life, and the future of modern astrophysics.From her early fascination with science to her years at MIT and her groundbreaking research at Yale, Priyamvada takes us through the ideas and experiences that shaped one of the most compelling minds in contemporary science.In this conversation, she breaks down the search for life beyond Earth, the discovery of new planets, and the scientific quest to understand black holes and the hidden structure of the cosmos. She explains why these extreme phenomena are key to understanding how galaxies form, reflects on the current state of scientific research in India, and offers her advice for young scientists stepping into the field. From fundamental questions about alien life to the future direction of astrophysics, this is a conversation about the boundless possibilities of science! CHAPTERS:Keywords : [astrophysics, black holes, dark matter, dark energy, alien life, extraterrestrial life, exoplanets, search for life in space, Priyamvada Natarajan, Yale University, MIT astrophysics, theoretical astrophysics, Mapping the Heavens, galaxy formation, space science, cosmos, universe explained, Nobel Prize science, science podcast, SparX podcast, SparX, podcast India, Indian scientist, women in science, women in STEM, physics podcast, astrophysics podcast, space podcast, science interview, science and technology, scientific research India, ISRO, space exploration, space documentary, universe documentary, black hole explained, what is dark matter, what is dark energy, how galaxies form, is there alien life, life beyond Earth, new planets discovered, astrophysics for beginners, science motivation, advice for young scientists, career in science, career in astrophysics, future of space science, modern astrophysics, cutting edge science, deep space, NASA, James Webb Telescope, event horizon, singularity, cosmology, theoretical physics, quantum physics, science education]0:00-02:53 Intro02:54-21:33 Priyamvada's Journey21:34-32:46 Priyamvada Achievements32:47-36:49 Detecting Life Beyond Earth36:50-49:15 Understanding Blackholes49:16-57:59 The State of Science in India58:00-58:47 Outro

Dr. Jim Jacobi has spent the past 50 years in Hawaiʻi as a biologist specializing in mapping Hawai'i's unique ecosystems and studying the plants and animals contained within them. Like so many of his cohort, he is a skilled naturalist, having worked on introduced rats, native insects first for the Bishop Museum and then mapping vegetation and management research projects for the Pacific Island Ecosystems Research Center of the US Geological Survey in Volcano. We talk to Jim about the evolution of tracking changes in vegetation by hand from aerial photos to the use of computer mapping and modelling. He shares with us the unique experiences heʻs had across the rugged U.S. Fish and Wildlife Service transects that traverse mountainous summits to sea, as well as the profound sorrow in witnessing the last Hawaiian honeycreeper in the wild, the Kauaʻi oʻo.

In this episode of the Crisis Lab Podcast, host Kyle King opens with a scenario every emergency manager recognizes: an evacuation order goes out, every protocol is followed, every system is activated, and people don't move.What it reveals: trust is invisible infrastructure, and it fails the same way physical systems do.From Winter Storm URI in Texas to the Lahaina wildfire in Hawaii to Berlin's longest blackout since 1945, the pattern repeats. Policy trades resilience for efficiency, warnings go unheeded, systems fail, and public confidence collapses at every level of government. The gap between what institutions promise and what communities receive has become a structural vulnerability.This episode isn't a call for better messaging. It's a call to treat trust like what it is: critical infrastructure that requires assessment, maintenance, and investment. Tune in to hear why the next evacuation order's success or failure is being determined right now.Show Highlights[00:00] The evacuation order nobody followed[01:00] Why warnings fail when trust has already been spent[02:00] Trust as infrastructure: the social network behind every physical system[03:00] Winter Storm URI and the 2011 warnings Texas ignored[04:00] Berlin's blackout: efficiency purchased with redundancy[05:00] Spain's train collision and the pattern of unheard warnings[05:30] Hawaii's false missile alert and the Lahaina sirens that stayed silent[06:30] The Spain-Portugal cascading power failure[07:00] FEMA's workforce: 29,000 to 23,000 and falling[07:30] The complexity-response gap: crises at system speed, institutions at human speed[08:30] Four steps municipal leaders can take now[09:00] Mapping your trust landscape before the next crisis[09:30] Closing the warning-to-action gap through policy, not heroics[10:00] Ukraine's model: honest capacity communication under compounding stress[11:00] Trust is infrastructure. Start treating it accordingly.Go Deeper: Crisis Lab ToolkitsListening is one thing. Applying it is another. Every Crisis Lab article comes with a companion toolkit: frameworks, checklists, and operational tools built for practitioners who need to act, not just stay informed.Free for all Crisis Lab subscribers.

Every athlete knows the music will eventually stop. Whether you walk away on your terms, are forced out by injury, or have a contract that doesn't get renewed, your career will inevitably end. In leagues like the NFL, NBA, or MLB, that ending can still leave you financially set. You might walk away with generational money. In action sports, that's rarely the case. A pro snowboarder can start earning real money in their teens. They can travel the world, land major sponsors, build a name, and live what looks like a dream career. But very few retire with enough money to last a lifetime. The earning window is short, the contracts are volatile, and the industry replaces you faster than you expect. What should athletes be doing during their earning years to avoid starting over financially at 30? Stevie Bell's snowboarding career is nothing short of meteoric. Starting from riding the bus two hours a day to Brighton as a laser-focused teenager, then landing a breakout video part just two years into riding, he went from unknown kid to signing a life-changing contract with one of the most iconic brands in snowboarding.  From managing fear on handrails that could end a career, to navigating brand politics when Forum was shut down, to walking away from the sport and rebuilding his identity after the checks stopped coming. His story is a masterclass in how quickly momentum can build and how quickly it can disappear. Stevie shares his career arc with me. We talk about how quickly money can scale, how quickly it can disappear, why most riders walk away with nothing, and how financial literacy becomes a competitive advantage when the career clock is ticking.   Things You'll Learn In This Episode  The moment every career ends, and why most people aren't ready- Whether it's injury, burnout, or a contract that isn't renewed, the music eventually stops. How do you prepare financially and psychologically for an ending you can't control? Fear as a strategic advantage- Top riders don't eliminate fear; they manage it. What does calculated risk look like when the downside is career-ending, and how does that translate to business and investing? The evolution of the industry- With airbags, Olympic pipelines, social media, and corporate sponsors, snowboarding has gone mainstream. Does more visibility actually mean more sustainable opportunity? Win or build: the new income model- If salary-based sponsorship is shrinking, and only a few athletes win consistently, how should modern athletes think about brand, leverage, and long-term income beyond competition? Guest Bio Stevie Bell is a former professional snowboarder and industry veteran with over 25 years of experience in action sports. He built a 14-year professional career after breaking onto the scene with a breakout video part just two years into snowboarding, eventually signing with Forum, one of the most iconic brands in the sport's history. During his tenure with Forum, Stevie traveled internationally filming video projects, participating in global tours, and contributing to one of the most influential eras in snowboard media. His career spanned major brand partnerships, long-term sponsorship contracts, and firsthand exposure to the evolving economics of action sports, from athlete compensation structures to the impact of corporate acquisitions and industry consolidation. After stepping away from professional competition, Stevie transitioned into entrepreneurship and content creation. He is currently the host of the Forum Chronicles podcast, where he documents the 20-year history of Forum and interviews key figures who shaped the brand and broader snowboard culture. To learn more or find out about the podcast, follow @steviebell801.    About Your Host From pro-snowboarder to money mogul, Chris Naugle has dedicated his life to being America's #1 Money Mentor. With a core belief that success is built not by the resources you have, but by how resourceful you can be. Chris has built and owned 19 companies, with his businesses being featured in Forbes, ABC, House Hunters, and his very own HGTV pilot in 2018. He is the founder of The Money School™ and Money Mentor for The Money Multiplier. His success also includes managing tens of millions of dollars in assets in the financial services and advisory industry and in real estate transactions. As an innovator and visionary in wealth-building and real estate, he empowers entrepreneurs, business owners, and real estate investors with the knowledge of how money works. Chris is also a nationally recognized speaker, author, and podcast host. He has spoken to and taught over ten thousand Americans, delivering the financial knowledge that fuels lasting freedom.   Resources Private Money Guide:  https://go.moneyschoolrei.com/book-podcast Wealth Wednesday Webinar: https://go.moneyschoolrei.com/wednesday-webinar-podcast Mapping out the Millionaire Mystery:  https://go.moneyschoolrei.com/newbook-podcast    

Chin brought his notes from Mike Shelby's handbook and we walked through threat categories, the likelihood-impact matrix, the six layers of your operational environment, METT-TC for civilians, and the full list of January & February 2026 disasters with dates and serious impacts. Read the complete guide and start sketching your AO this weekend.

Artificial intelligence is rapidly transforming how medical spas attract and convert new patients—but most marketing strategies still focus on the very end of the buying journey. In this episode of Medical Spa Insider, AmSpa founder Alex Thiersch speaks with Rick Brown, co-founder and CEO of MarketStorm, and Krista Stevenson, head of business development, about how their company and other AI tools are changing the way businesses identify and influence consumers long before they start searching. The discussion includes:   What the “Messy Middle” means for medical spa marketing Why most advertising budgets focus too late in the patient decision journey How AI can identify potential patients before they start searching The role of predictive data in modern marketing strategies Why brand awareness early in the decision process matters How med spas can expand beyond social media marketing      

Chin brought his notes from Mike Shelby's handbook and we walked through threat categories, the likelihood-impact matrix, the six layers of your operational environment, METT-TC for civilians, and the full list of January & February 2026 disasters with dates and serious impacts. Read the complete guide and start sketching your AO this weekend.Become a supporter of this podcast: https://www.spreaker.com/podcast/prepper-broadcasting-network--3295097/support.BECOME A SUPPORTER FOR AD FREE PODCASTS, EARLY ACCESS & TONS OF MEMBERS ONLY CONTENT!Red Beacon Ready OUR PREPAREDNESS SHOPThe Prepper's Medical Handbook Build Your Medical Cache – Welcome PBN FamilySupport PBN with a Donation Join the Prepper Broadcasting Network for expert insights on #Survival, #Prepping, #SelfReliance, #OffGridLiving, #Homesteading, #Homestead building, #SelfSufficiency, #Permaculture, #OffGrid solutions, and #SHTF preparedness. With diverse hosts and shows, get practical tips to thrive independently – subscribe now!Newsletter – Welcome PBN FamilyGet Your Free Copy of 50 MUST READ BOOKS TO SURVIVE DOOMSDAY

Andrew Lowenthal is CEO of Liber-net and an Australian digital civil liberties researcher with over 25 years in human rights and technology. He led Engaged Media, worked with Matt Taibbi on the Twitter Files, and mapped the censorship industrial complex for Racket News. Andrew writes about digital authoritarianism, surveillance, and free expression. Recently he testified before the EU Parliament and continues exposing how legacy institutions bleeding trust respond with censorship rather than transparency.→ Please like, comment, share & follow — to help me beat the suppressing algo's. Thank you!– SPONSORS –→ Access liquidity without selling your Bitcoin with Ledn — learn more at https://ledn.io/Efrat    → Get your TREZOR wallet & accessories, with a 5% discount, using my code at checkout (get my discount code from the episode - yep, you'll have to watch it): https://affil.trezor.io/SHUn→ Have you tried mining bitcoin? Stack sats directly to your wallet while saving on taxes with Abundant Mines: https://AbundantMines.com/Efrat - Claim your free month of hosting via this link– AFFILIATES –→ Get 10% off on Augmented NAC to detox Spike protein, with the code YCXKQDK2 via this link: https://store.augmentednac.com/?via=efrat (Note, this is not medical advice, please consult your MD)→ Join me at Europe's largest bitcoin conference - BTC Prague, June 11-13, 2026. Code EFRAT for 10% off: http://btcprg.me/EFRAT→ Be good to your eyes & health, and get the Daylight tablet - a healthier, more human-friendly computer, zero blue light & flicker. Use code EFRAT for $25 off: https://bit.ly/Efrat_daylight → Get a second citizenship and a plan B to relocate to another country with Expat Money, leave your details for a follow up: https://expatmoney.com/efrat→ Watch “New Totalitarian Order” conference with Prof. Mattias Desmet & Efrat - code EFRAT for 10% off: https://efenigson.gumroad.com/l/desmet_efrat→ Join me in any of these upcoming events: https://www.efrat.blog/p/upcoming-events– LINKS –Andrew on X: https://x.com/naffectsLiber-net's Website: https://liber-net.org/ Andrew's Substack: https://networkaffects.substack.com/ Efrat's X: https://twitter.com/efenigsonEfrat's Channels: https://linktr.ee/efenigsonWatch on all platforms: https://linktr.ee/yourethevoiceSupport Efrat's work: ⁠https://bit.ly/zap_efrat– CHAPTERS – 00:00 - Coming Up... 01:17 - Intro  to Andrew Lowenthal 03:30 - Censorship Status in USA, Australia, UK, Europe 08:50 - The Political Shift in Australia & “One Nation” Party13:05 - Ad-Break: Ledn & Trezor 19:05 - Australia's Age Verification Law & Substack's Voluntary Compliance 23:11 - The New Hate Speech Law, Bondi Attack & Gov. Overreach 33:00 - Australia's Hate Speech Laws History36:55 - Ad-Break: Abundant Mines & New Totalitarian Order Conference 39:14 - Mapping the Censorship Industrial Complex 45:20 - Speech Police Via NGOs & Government Funding50:10 - Australia's e-Safety Office: Policing Speech & Node In Global Censorship Industrial Complex59:40 - Australia's Economical Downturn & Recession1:01:50 - Censorship As Part of UN's Agenda 20301:04:49 - 2017 Council of Europe Document & Germany Censorship Analysis1:11:11 - Are Speech Crimes Now Treated On Par With Violent Crimes?1:17:23 - Bitcoin & Nostr: Decentralized, Censorship Resistant Protocols 1:22:54 - The End Game: Keeping Legacy Parties in Power 1:28:30 - Follow Andrew's Work

Mariann Sullivan dives into the latest animal rights news, exploring why activists’ maps, while totally legal, have the industry up in arms in California and beyond. This episode of Rising Anxieties tackles the ever-evolving strategies of animal activists and the nervous industry responses. This episode explores: The launch of an interactive map by DXE of California’s livestock sector. The impact of…

In this edit of a live show we examined the latest data from our surveys, and the distribution of financial stress across the country. With the prospect of higher interest rates and and the Iran situation this is more important than ever. Find out where the key pressure points are. 0:00 Introduction3:22 Oil Crisis and … Continue reading "DFA Live Q&A HD Replay: Mapping Household Finances As Pressures Rise And Incomes Fall!"

Author Peter Bailey, president of the Prouty Project in Minneapolis, discusses formative travel and life experiences that shaped his leadership work and book, "The Epic of You." He recounts teenage journeys to India and a six-month overland trip across Africa featuring malaria, scarce roads in the Sahara, forged passports, wildlife in Tanzania and Kenya, and a flash flood. He describes early struggles with low self-esteem, addiction and sobriety at 22, risky subway riding, and later adventures like a Wyoming rodeo fall and learning polo at 55. Bailey explains using Joseph Campbell's heroic journey to reframe adversity, details his 13-minute TEDx talk including his wife's cancer “power and purpose” mindset, shares practices on names, mindfulness, and resting, and emphasizes community and discernment amid AI.00:00 Meet Peter Bailey00:33 Early Travel Roots02:04 Six Months Across Africa03:21 Hard Lessons and Journals05:09 Crossing the Sahara08:03 Safari Parks and Floods10:10 Iran Riots at Sixteen13:14 Book Origins and Identity15:25 Subway Demons and Risk16:07 Rodeo Wipeout Story19:34 Learning Polo Later22:01 Outward Bound and Dogsleds24:10 Staying Warm and Prepared25:02 Lonesome Dove Quotes26:32 Prairie Stories and Brotherhood28:02 From Hardship to Heroic Journey28:46 Mapping the Heroic Journey30:45 Leadership Work and Gifts31:11 Crafting the TEDx Talk32:08 Power and Purpose in Cancer33:29 Owning Your Epic Life34:44 Learning from Adversity and Nature36:48 Remembering Names with Intention40:38 Mindfulness over Multitasking42:37 Rest All the Time45:29 Anchoring Mindset in Sports46:55 Everyday Epicness and Service49:26 Next Chapter Aging and AI52:11 Closing Thanks and Farewellhttps://www.peter-bailey.com/“The Epic of You” on Amazon: https://a.co/d/00P4YyVK=========Slides, summaries, references, and transcripts of my podcasts: https://tomn.substack.com/p/podcast-summariesMy Linktree: https://linktr.ee/tomanelson1

Find me on Substack!Matt Reustle is the former CEO of Colossus and architect of the Business Breakdowns podcast, who spent a decade at Goldman Sachs mastering business dissection before building one of the investment world's most influential media platforms.The episode is sponsored by TenzingMEMO — the AI-powered market intelligence platform I use daily for smarter company analysis. Code BILLIONS gets you an extended trial + 10% off.3:00 – Matt reflects on his upbringing: engineer father, educator mother, and how dinner table conversations about managing teams shaped his thinking on accountability and action.5:00 – The pivot from Goldman Sachs to Colossus: Matt describes the frustration with compliance-driven communication at large firms and the freedom podcasting offered to reach wider audiences with authentic analysis.7:15 – Second-order impact of content: how episodes designed for investors also reach management teams, founders, and unexpected audiences who extract different lessons.10:51 – From analyzing businesses to running one: Matt describes eating “humble pie” when moving from the investor seat to the operator seat, gaining appreciation for nuance, experimentation, and details that don't scale.15:06 – The Patek Philippe episode and stewardship: watches powered by human movement, built to last centuries, and the marketing genius of positioning a product as something you never truly own but look after for the next generation.19:09 – Long-term thinking benefits you now: Bogumil argues that applying a multi-generational filter to decisions delivers returns in the current generation, not just future ones.22:58 – What makes a compounder: Matt identifies three characteristics — a self-reinforcing sales model, religious cost efficiency, and disciplined capital allocation — set against the macro backdrop of industries growing faster than GDP.31:35 – Mapping value chains: finding mission-critical, low-cost components with high barriers to entry where small players capture outsized profits.37:34 – Financial hygiene: management teams that communicate future flexibility and demonstrate depth of knowledge signal discipline; track records outweigh rhetoric.43:40 – Evolutionary DNA of businesses: the ability to adapt and pivot, what Henry Ellenbogen calls “act two companies,” and why the best investors change their minds when information changes.49:30 – Audience of one philosophy: creating content for a specific person breeds focus, quality, and trust — and paradoxically reaches far more people than content designed for mass appeal.54:35 – AI as a creative superpower: interacting with your own content library in new ways, finding use cases from peers, and owning the technology rather than letting it own you.58:20 – Success as fulfillment: family, creation, and relationships — Matt's definition shaped by watching his parents balance it all.Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.EPISODE NOTES

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

Ever feel like your life is a series of trials you didn't sign up for? This week, we're stepping out of the rooms and into the "Ordinary World" of Joseph Campbell's Hero's Journey. We break down why your struggle with addiction isn't just a series of mistakes, it's the "Call to Adventure" you were initially too afraid to answer. We explore how the "Abyss" of active addiction mirrors the darkest part of the mythic cycle, and more importantly, how the 12 Steps provide the exact roadmap needed to return home with the "Elixir" of sobriety. Whether you're currently facing your "Road of Trials" or you're a "Mentor" helping others through their own, this episode explores how viewing your recovery through the lens of a classic epic can turn your greatest shame into your greatest strength.

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

Postal and delivery expert Alan Barrie discusses the UK delivery scene, with a particular focus on out-of-home delivery. How InPost and Amazon fired up out-of-home delivery in the UK Royal Mail's Deliver to Neighbour service Mapping parcel delivery in London The inconvenience of online shopping Residential parcel lockers for home delivery Future of e-commerce parcel delivery When consumers order heavy or bulky goods online Helping shoppers make the delivery choice that's right for them Carbon measurement tools in delivery Outlandish claims about sustainability in delivery Nationwide walkable networks  

Let's be real for a moment...In the corporate context, what's the thing that usually gets rewarded the most?It's often the person who "just" grinds through the chaos, works overtime to fix a broken process, and absorbs all the organizational friction without complaining.From very early on in our careers we are taught to treat ourselves like machines that just need to carry more weight.But as Kara Snyder points out in our conversation, that is treating resilience as output. It's performing professionalism when you are completely depleted. And it is a fast track to burnout.Instead, Kara challenges us to think about resilience as capacity. What do you actually need to sustain yourself so you can stay in this deeply human and emotionally demanding work?Because at the end of the day, the most important tool in your service design toolkit isn't a journey map or a blueprint... well, it's you.In this episode of Inside Service Design, I sit down with Kara and Siddhartha Saxena to talk about the inner game of being an in-house service design professional. We step away from the frameworks and talk about how to actually survive and thrive in this beautifully complex role.This conversation touches on topics like:How to stop measuring your worth by how much stress you can carry.How to create a "liminal space" between you and your work.And how to get to Friday and actually feel a sense of accomplishment, even when the work is messy.So if you've been feeling the weight of driving positive change using service design, take a deep breath, slow down, and tune into this one.How do you protect your own capacity? Have you found any specific rituals particularly helpful? Let me know, I'd love to hear how you're dealing with this.Be well,~ Marc--- [ 1. GUIDE ] --- 00:00 Welcome to the January 2026 Round Up!03:30 Kara's Journey: From Accounting to PWC06:30 Facing Burnout and Personal Loss09:00 Sidd's Journey: From Architecture to Startups11:30 Discovering Service Design as a Business Bridge12:30 Remote Healthcare in India14:00 Designing the "Nervous System" of an Organization15:45 Navigating Complexity19:00 Why Service Design Feels Like the "Wild West"19:50 Tool Spotlight: Using the Emotional Culture Deck21:30 Moving from Doing to Being24:00 Resilience in Startups vs. Corporate Safety26:15 How Personal Grief Shapes Professional Perspective31:15 The Gap Between Self and Work34:30 Why Service Designers are Natural "Absorbers"38:30 Building a Protective Layer Against Burnout41:15 Mapping the Invisible Organizational Nervous System44:45 Managing Design at Scale48:15 When to Say "No" to the Machine52:30 The Power of Invisible Labor56:15 Measuring the Value of What Can't Be Seen59:00 Protecting Your Design Culture from Company Culture1:00:15 Final Takeaways --- [ 2. LINKS ] --- https://www.linkedin.com/in/karamartinsnyder/https://www.linkedin.com/in/siddhartha-saxena --- [ 3. CIRCLE ] --- Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle[4. FIND THE SHOW ON ] ---Youtube ~ https://go.servicedesignshow.com/inside-service-design-10-youtubeSpotify ~ https://go.servicedesignshow.com/inside-service-design-10-spotifyApple ~ https://go.servicedesignshow.com/inside-service-design-10-appleSnipd ~ https://go.servicedesignshow.com/inside-service-design-10-snipd

In this episode of #TheShot of Digital Health Therapy, my regular co-host Jim Joyce passed the bouton to Daniel Kendall who was kind enough to step in. Dan and I sat down with Margaret Moore aka Coach Meg. As the founder of Wellcoaches and the co-founder of the Institute of Coaching as well as National Board for Health & Wellness Coaching, she pioneered the professional standards for health & wellbeing coaching. As we always say.... to be a Key Opinion Leader (KOL) you need to have opinions AND backed by data! Meg brings it all to our discussion: -Why telling people what to do is the least effective way to change them. -The Science of Coaching: How Margaret shepherded coaching from a "soft skill" to a science-backed discipline. -Using "Parts Work" to navigate the voices in our heads that resist change. -Human-Centered AI: Why healthcare needs a "coaching chip" inside the machine. -Will Centers for Medicare & Medicaid Services (CMS) adopt coaching as part of the chronic disease management framework? If you're trying to move the needle on patient outcomes, Margaret explains why the relationship is the medicine. Links in comments. Fun mentions as always: Ruth Q. Wolever, PhD, NBC-HWC Gary Sforzo Marina Borukhovich Dr Mehmet Oz, RFK Jr. 04:30 – The Business vs. The Creative: How Margaret transitioned from Biotech C-Suite to "Coach Meg." 17:00 – Professionalizing Coaching: Building the Institute of Coaching and the NBHWC standards. 23:15 – The CMS Update: Framing coaching for Medicare coverage and the "dose response" of behavior change. 34:10 – The Paradigm Shift: Why the Annual Wellness Visit needs to start with "What are your health goals?" 45:30 – Mapping the Mind: Using biology to create a unified framework for the human psyche. 51:20 – The 15-Year-Old Self: A personal revelation on reclaiming flow and leadership.

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

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)

Send a textIn today's message we consider that as Christians we are entrusted with God's seed, which He intends to use for producing spiritual transformation in the lives of others.  We can't produce the transformation, that's God's work; but we can scatter the seed among our friends and neighbors by the way we live our lives and the testimony we leave with them.  Here are five observations about that process.Acts 8; John 4:39-41; Mark 4:26"Yet I still dare to Hope..." - Lamentations 3:21 PODCAST HOME: daretohopepodcast.buzzsprout.com/ EMAIL: hope@dare2hope.life FACEBOOK: Dare to Hope Ministries WEB: www.dare2hope.life BOOK: "Mapping a Life of Hope" Order here: https://a.co/d/0gj9wVif

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  

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.

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!

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

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

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

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.

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/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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