Podcasts about V2

The Cycling Tech Brief: the cycling tech that actually matters this week — and whether to update, wait, or ignore.Wahoo ELEMNT V3 firmware WG77-302533 (June 16) adds live CORE, FLOWBIO, hDrop, and Tymewear biometric data fields — Monitor: the firmware itself is stable and worth updating, but hold off on buying the sensors until independent accuracy testing accumulates on actual Wahoo hardware in field conditions.Strava v467.0.0 drops hiking-first overhaul: offline nav, Apple Watch route-following, off-route alerts now live — Update now—subscriber or not, there is something here for you; subscribers should enable offline routes and Apple Watch navigation before the next trail day.Strava paywall API access at $11.99/month effective June 1, 2026—developer ecosystem fragmenting as IPO approaches — Monitor: as a rider, check that your favourite third-party Strava integrations still work after June 30—some free tools may shut down rather than absorb the developer fee.COROS watches bricking days-to-weeks after mid-May 2026 firmware—company confirms free replacements for affected devices — Monitor: if your COROS watch dies after the May update, contact support immediately for a free replacement—COROS has confirmed this policy; do not attempt DIY fixes.Wahoo ELEMNT ROAM V3 arrives with touchscreen, full-colour display, and new sensor platform—but upgrade value depends on generation — Monitor: ROAM V3 is now the more compelling platform given new sensor breadth, but wait for the biometric sensor ecosystem to prove out in field conditions before treating it as a reason to upgrade from a functioning V2.Daily cycling intelligence from SEMIPRO CYCLING, produced with AI-assisted research, scripting, and synthetic voice.

Text your thoughts and questions!Have you ever stood in front of a closet full of clothes and felt like you had nothing to wear? Or stared at a packed calendar, a full fridge, or a long to-do list and felt overwhelmed by all the choices in front of you?We often assume that having more options gives us more freedom, but in reality, too many choices can create decision fatigue, mental clutter, and unnecessary stress. What if the answer isn't adding more systems, more routines, or more choices, but becoming more intentional about the ones you already have?In this episode, Lisa explores how the concept of a capsule wardrobe can be applied far beyond fashion. By adopting a capsule mindset, you can create flexible, intentional systems for your schedule, meals, and routines that reduce overwhelm while giving you more freedom to adapt to real life.This week, episode 319 of the Positively Living® Podcast explores how to use capsule thinking as a practical productivity tool and shares simple ways to simplify decision-making, build sustainable systems, and create more ease in everyday life.Key Takeaways:Understand why having more options doesn't always lead to greater freedom.Learn the core principles behind a capsule wardrobe and how they apply to productivity.Recognize how decision fatigue contributes to overwhelm and mental exhaustion.Discover how a capsule schedule can create structure without rigid time blocking.Explore flex blocking as a more adaptable approach to planning your days.Simplify meal planning by using versatile ingredients and modular meal components.Create routines that flex with your energy, capacity, and changing circumstances.Apply the 80/20 principle to identify the habits that have the biggest impact.Build systems that work on both your best days and your most challenging ones.Use seasonal reviews to keep your routines, schedules, and habits aligned with your current needs.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Episode 21 with Hannah DonnellyEpisode 273: How to Make Time Blocking FunSolo Episode PlaylistBook a Clarity CallAsync Coaching(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!The Self-Care to Wellness Bundle is available for 1 week only - from July 9th - July 16th

Tanner Mullen (founder of DripJobs) returns to the Painter Growth Podcast for one of his most tactical conversations yet. Mike Workman and Tanner dig into why software is becoming commoditized, why education and service are the real moats, and how AI is reshaping what it means to run a painting business in 2025.Tanner breaks down his new product, Routimize, a route-optimization booking system that lets customers book themselves directly from Facebook at peak intent, eliminates wasted drive time, and is already live in 36 beta companies. He explains why he's "done with leads," how the illusion of choice drives take rates, and how the same engine now powers an AI voice agent that books appointments end-to-end on nights and weekends.If you're a painting contractor trying to build an income-producing asset instead of a job, this episode is your playbook.⏱️ Timestamps below.00:00 Intro: Tanner Mullen returns00:32 Why it's the best time ever to be in business01:17 Using AI to automate the boring stuff01:52 Building an income-producing asset02:46 Risk-takers vs. people who wait04:03 The guy who asked for a free trial 4 years apart04:29 Developing the investor mindset05:13 Why DripJobs killed free trials05:33 Software is becoming commoditized06:24 Why education & service are the real moat06:53 Knowing the problem vs. implementing the change07:37 Building a department just for free training07:59 The four quadrants: urgent vs. important09:06 Time management is the #1 scaling skill09:26 Five recommended CEO calendars by business stage10:31 How AI changed software development for DripJobs11:37 Differentiating yourself in a gold rush12:13 Early-mover leverage & filing the patent13:18 Trust as a moat: protecting customer data14:13 Personal brand leverage in software15:02 Killer AI use case: instant custom proposals16:30 Staying focused as a product leader (no shiny objects)17:03 DripJobs' biggest bottleneck: offline mode & V217:41 What Routimize actually does18:03 The origin of DripJobs & speed to lead18:51 Why request systems still create friction19:42 How Routimize filters territory & enables VAs20:37 Building friction to get the right bookings20:58 Booking direct from Facebook with an AI chatbot21:46 "I don't want leads anymore"22:40 36 companies in beta23:14 The illusion of choice & booking rates24:17 Live demo: booking inside the service zone25:34 Propagating the best appointment time26:24 How much time it saves per salesperson27:00 The Calendly for service businesses27:20 Bulk routing for project managers28:19 Tanner the "time dealer"28:37 Customer experience & shortening the buying cycle29:55 On-the-way texts with real drive-time ETAs30:47 The Google Maps API cost reality31:05 Voice AI: booking calls on nights & weekends32:37 Why callers prefer to book by phone33:36 Reassuring admins this won't replace them35:10 Solving a problem that shouldn't exist35:38 Will Routimize beat DripJobs? The December 2027 bet36:12 Building features at AI speed37:07 The 30-day runway to public launch37:50 The pay-gate philosophy & 14-day trial38:18 DripJobs V1 vs. V2 strategy39:02 Big news: Tanner is fully free from Premium Painting39:31 Why job scheduling is a high-level task40:14 The estimating & proposal model that freed him41:07 Selling the business kicked him into a new gear41:49 Building a business worth keeping42:36 Measuring cost by how much you think about it43:08 Spotting and motivating A-players43:29 Be 1% better than your best player44:18 The personal development journey since age 1645:00 Personal rules for leading a team45:20 The State, Story, Strategy framework46:43 Getting into the right state faster47:24 Tanner's one-on-one Routimize offer48:07 The June 19th deadline & how to claim it48:42 Wrap-up.

Text your thoughts and questions!Many women spend their lives carrying invisible responsibilities for their families without ever realizing how much energy, thought, and emotional labor those responsibilities require. Whether it's keeping the peace, anticipating needs, preserving family traditions, or caring for aging parents, daughters are often expected to do it all—and do it well. The challenge is that these expectations can become so ingrained that many women never stop to ask an important question: How much is enough?This week, in episode 318 of the Positively LivingⓇ Podcast, I sit down with Dr. Allison Alford, communication scholar, researcher, and author of Good Daughtering: The Work You've Always Done, the Credit You've Never Gotten, and How to Finally Feel Like Enough. Allison shares insights from more than a decade of research on the often-unspoken role of adult daughters, exploring the invisible labor they perform, the societal expectations they carry, and how women can redefine what it means to be a "good enough" daughter.Dr. Allison M. Alford is a communication scholar, researcher, professor at Baylor University, and leading expert on the experience of adult daughters. Through years of interviews and research, she has examined the emotional, cognitive, logistical, and identity-based labor women perform within families. Her work helps daughters recognize their contributions, challenge unrealistic expectations, and create healthier, more sustainable relationships with their families and themselves.Key Takeaways:Daughtering is more than caregiving. It includes the ongoing emotional, cognitive, logistical, and identity work daughters perform to keep families connected and functioning.Much of a daughter's labor is invisible. While tasks like visits and phone calls are visible, the planning, worrying, emotional management, and family coordination often go unnoticed.Society places unique expectations on daughters. Women are often expected not only to care for family members but to do so willingly, skillfully, and without complaint.The mental load extends beyond remembering tasks. Daughters frequently anticipate problems, navigate family dynamics, and remove obstacles before anyone else notices them.Emotional labor has a real cost. Acting as the peacemaker, confidant, or emotional "thermostat" for a family can lead to exhaustion, overwhelm, and burnout.Birth order and family structure can influence daughtering experiences. Eldest daughters and only daughters often feel heightened responsibility, though every family dynamic is unique.You have agency to redefine your role. Even long-standing family patterns can be reassessed, and it's possible to establish healthier expectations and boundaries.Being a "B+ daughter" is enough. Striving for perfection isn't sustainable. Leaving room for your own needs, relationships, and well-being allows you to show up for your family without losing yourself in the process.The invisible work you do for your family matters. But so do your needs, your capacity, and your well-being. You don't have to earn your worth through endless giving. What would change if you allowed yourself to believe that you are already enough?Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH DR. ALISON ALFORD:WebsiteInstagramFacebookTikTokCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Good Daughtering: The Work You've Always Done, the Credit You've Never Gotten, and How to Finally Feel Like Enough(Find links to books/gear on the Positively Productive Resources Page.)Episode 156: How to Reduce Mental Load as a Parent or Caregiver with Roxanne FerberBook a Clarity CallLibby AppDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!The Self-Care to Wellness Bundle is available for 1 week only - from July 9th - July 16th

Forget the "well, actually" crowd. Yes, the Germans were central to the space race, and host Matt Trump is leaning all the way into it. In Part I of this new series, Matt traces humanity's first object to ever cross into outer space back to a test launch from Peenemunde on June 20, 1944, two weeks after D-Day, and the weapon it became, the V2. But the real story starts decades earlier with Jules Verne, whose 1865 novel "From the Earth to the Moon" predicted Apollo and Artemis with eerie accuracy, and inspired a young Transylvanian Saxon named Hermann Oberth to turn science fiction into the actual rocket equation. Matt also dives into the strange, tangled connections between Oberth, Fritz Lang, Thea von Harbou, and the silent film "Metropolis," and what that film really reveals about how the Nazis saw themselves. Next week, the warriors arrive: Wernher von Braun.

Text your thoughts and questions!Have you ever sat down to write an email, finish a report, or tackle a simple task, only to watch it consume far more time than it should have? It can feel frustrating, especially when you thought having extra time would make things easier. But what if more time is actually part of the problem?The idea behind Parkinson's Law is surprisingly simple: work expands to fill the time available for its completion. What started as a satirical observation in the 1950s has since been supported by research showing that when people are given more time than they need, they tend to use it, whether the task requires it or not.In this episode, we're exploring why open-ended time can lead to procrastination, overthinking, perfectionism, and unnecessary task expansion. More importantly, you'll learn how to use intentional time constraints to your advantage so you can focus better, make progress faster, and create a more sustainable approach to productivity that works with your brain instead of against it.This week, episode 317 of the Positively Living® Podcast explores the practical side of Parkinson's Law and shares simple ways to use time boundaries, self-created deadlines, and focused work sessions to accomplish more without rushing or burning out.Key Takeaways:Understand how Parkinson's Law causes tasks to expand simply because more time is available.Recognize why open-ended projects often lead to procrastination, overthinking, and perfectionism.Learn why urgency and deadlines can dramatically improve focus, especially for ADHD brains.Use timeboxing to create clear boundaries that help your brain stay engaged and productive.Define what "done" looks like before you begin to avoid endless tweaking and refinement.Create meaningful self-imposed deadlines when external deadlines don't exist.Improve focus and consistency by working in shorter, intentional sprints instead of marathon sessions.Develop the self-awareness to recognize when a task genuinely needs more time versus when it's simply expanding to fill available space.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Solo Episode PlaylistBook a Clarity CallAsync Coaching(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!The Self-Care to Wellness Bundle is available for 1 week only - from July 9th - July 16th

In the thrilling finale of our Merkers Mine series, we confront the uncomfortable arithmetic of the Third Reich's stolen wealth. While the Allies recovered an astonishing 250 tons of gold at Merkers, hundreds of millions of dollars in looted Nazi gold remain completely unaccounted for to this day. Could a portion of this missing fortune have ended up deep inside a desert mountain in southern New Mexico?. To answer this, we explore the highly secretive post-war world of Operation Paperclip, which brought former Nazi rocket scientists and hundreds of train cars filled with V2 rocket components from the exact same German region as the Merkers mine directly to the White Sands Missile Range.This massive, chaotic logistical operation may have provided the perfect Trojan horse to smuggle stolen wealth into the United States. We delve into the tantalizing, controversial theory that diverted Nazi bullion was shipped alongside the rocket parts, meticulously concealed in crates falsely labeled as Volkswagen engines that were calibrated to match the exact weight of a real engine. The destination for these mysterious crates was White Sands—the home of Victorio Peak, a mountain already famous for a legendary Spanish gold discovery made by Doc Noss years earlier.The historical anomalies surrounding this peak are impossible to ignore. When two airmen secretly entered Victorio Peak in 1958, they didn't describe finding crude, centuries-old Spanish colonial ingots; they reported seeing modern, smelted, brick-shaped gold bullion stacked in orderly, military-style pyramids. Tying this massive web together is a chilling final revelation: Leland Howard, the powerful U.S. Treasury official sent to Frankfurt to oversee the captured Merkers gold in 1945, is the exact same man who later orchestrated the military's top-secret excavations and the suppression of the Noss family claims at Victorio Peak. The prelude is now complete. Join us as we close the book on the Merkers Mine and prepare to step fully into the enduring mystery of the Noss Gold.

The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity's Last Exam, etc. These metrics are useful, but don't always represent the full extent of how a model performs in the real world. Some of the most interesting evals today look less like exams and more like operating businesses in the real world. One of which is Vending Bench.In Anthropic's Mythos Preview System Card, Andon was the only third party eval to get their own section, observing increasingly concerning aggressive behavior:You don't know what a model is capable of doing in the real world unless you actually give it inventory, a wallet, tools, customers, competitors, humans, & some time. More often than not, it'll surprise you how much a model is capable of and in doing so, also reveal unexpected behavior: deception, context collapse, emergent coordination, & bizarre negotiation behavior.While an inflection point in personal agents came post-OpenClaw after full file access with bypass permissions became the norm, it is yet to come for agents in the real-world. However Andon Market, an actual in person store fully run and managed by AI, is paving the way for what is possible.Full Video PodFrom Claude trying to call the FBI over a $2/day vending machine charge to AI agents forming price cartels, hiring human employees, running physical stores, and writing existential robot musicals, Andon Labs is stress-testing what happens when frontier models stop being chatbots and start acting in the real world. In this episode, Andon Labs cofounders Lukas Petersson and Axel Backlund join swyx and Vibhu to unpack the strange, funny, and genuinely concerning edge cases that emerge when agents run businesses over long horizons.We go deep on Vending-Bench, Project Vend, Vending-Bench Arena, Bengt, Butter-Bench, Luna, and Andon's broader mission of building realistic real-world evals for autonomous AI systems. Lukas and Axel explain why dollar-denominated evals reveal things traditional benchmarks miss, how Claude ended up reporting its vending machine fees as cybercrime, why long context windows can drive agents into meltdown loops, what happens when agents compete with each other, and why the future of AI safety may depend on testing models in messy physical environments instead of clean benchmark sandboxes.We discuss:* Why Andon Labs started with dangerous capability evals and long-running agents* Vending-Bench and why running a vending machine is a deceptively hard AI benchmark* Why money-based evals avoid the saturation problem of traditional benchmarks* How Claude tried to call the FBI over a $2/day fee* Why long-horizon agents can spiral into existential and legalistic breakdowns* Project Vend: putting an AI-run vending machine inside Anthropic* Why real humans are “out of distribution” for simulated agents* Claudius, Seymour Cash, and the chaos of AI CEOs* How a human briefly became CEO of Claudius through a manipulated election* Why multi-agent systems can converge back into “helpful assistant” behavior* Bengt, Andon's internal office agent with email, spending, terminal, phone, camera, and internet access* How Bengt traded Amazon purchases for face-recognition training data* Claude's aggressive behavior, lies, refund avoidance, and price-cartel behavior in Arena* Why eval awareness may become the AI version of “are we living in a simulation?”* Blueprint Bench, spatial intelligence, and why models still misunderstand physical rooms* Butter-Bench and testing LLMs as robot orchestrators* Luna, the AI-run physical store with a three-year lease and human employees* The new Andon cafe in Sweden and why real-world geography matters for agent evals* Rotten tomatoes, perishable goods, and the hidden difficulty of running a physical businessLukas Petersson* LinkedIn: https://www.linkedin.com/in/lukas-petersson-181a83172/* X: https://x.com/lukaspetAxel Backlund* LinkedIn: https://www.linkedin.com/in/axelbacklund* X: https://x.com/axelbacklundAndon Labs* Website: https://andonlabs.com* Vending-Bench: https://andonlabs.com/evals/vending-bench* Andon Vending: https://andonlabs.com/vendingTimestamps00:00:00 Introduction00:01:00 Andon Labs and the Origins of Vending-Bench00:05:21 Why Money-Based Evals Matter00:09:51 Agent Harnesses and Self-Modifying Systems00:13:36 Claude Calls the FBI00:16:33 Project Vend: Claude Runs a Real Vending Machine00:21:44 Seymour Cash, AI CEOs, and Election Chaos00:27:16 Multi-Agent Coordination and Slack Observability00:30:18 When Will Agents Run Real Businesses?00:34:56 Bengt: Andon's Internal Office Agent00:40:06 Real-World AI Safety and Long-Horizon Traces00:44:28 Lying, Refunds, and Price Cartels in Arena00:52:42 Eval Awareness and Simulation Behavior00:56:06 Blueprint Bench, Butter-Bench, and Robotics01:04:37 Luna: The AI-Run Physical Store01:09:29 The Sweden Cafe and Real-World Expansion01:13:16 What Comes Next for Andon LabsTranscriptIntroduction: Andon Labs, Long-Running Agents, and Real-World EvalsSwyx [00:00:00]: Welcome to Lukas and Axel from Andon Labs, and I'm joined by my, favorite guest host. Anything security, safety, alignments, Vibhu., welcome.Lukas [00:00:15]: Thank you for having us.Axel [00:00:16]: Thank you.Swyx [00:00:17]: Let's match names to voices., maybe you wanna take turns introducing yourselves.Lukas [00:00:21]: I'm Lukas.Axel [00:00:22]: And I'm Axel.Swyx [00:00:24]: Let's introduce Andon Labs a bit. How did you guys come together?, you have different backgrounds, but you're both Swedish., was that, a big part of it?Lukas [00:00:33]: So when I went to high school, there was this really cool guy who had a superpower. He could code. So he made like the or like the app for the, for the school and stuff, and he was super cool, and I wanted to be like him, and that was that guy.Axel [00:00:47]: I don't know about this.Swyx [00:00:49]: But you went to different universities, right?Lukas [00:00:51]: But same high school.Swyx [00:00:52]: I see.Lukas [00:00:52]: So we always said, “Oh, once we graduate university, then we should start a company,” and that's what we did.Swyx [00:00:58]: Wow, there you go. And about a year ago, you kinda burst onto the scene with Vending Bench, but, was there a thing before that was, kind of like the inception?From Dangerous Capability Evals to Vending BenchAxel [00:01:07]: So we did work, yeah, with, Anthropic was one of our, early customers in doing, evals. So we did, dangerous capability evals., nothing we published openly. But then we started thinking about doing some kind of, public benchmark, and one thing that we really started thinking about, was like running agents and specifically agents managing businesses., ‘cause-- and this was, early 2025., and I think the first, mentions of people will be running, person unicorns or even autonomous companies. So we thought, “Let's make a benchmark of how well can an agent run the probably simplest business, possible,” and, that's probably, running a vending machine. So that's the first public one we did. And it was very, like-- there was almost no one that noticed it in the first couple of months, I think., so we released it in February last year, and then I think around Easter last year, we got, the first viral tweet about it, that someone else did.Lukas [00:02:11]: We tweeted a bunch, uh When it came out and, tried our best.Axel [00:02:15]: We tried.Vibhu [00:02:16]: It's the one at Anthropic, right?Lukas [00:02:18]: So thisSwyx [00:02:19]: This is a classic thing we should get out of the way.Lukas [00:02:20]: Exactly. There's two versions.Swyx [00:02:22]: Everyone does this. Yes.Lukas [00:02:23]: There's Vending Bench, which is the simulated one, which we did, completely independently in February., and then, like Axel said, that was like-- That was the thing that didn't get any traction in the beginning, but then some random person made a tweet about it, and thatAxel [00:02:38]: You have the paperLukas [00:02:38]: That is the paper. Correct, yeah., and then since we thought this was very fun, we thought, oh, I think this is also, one thing with Andon Labs, the way we kind of like decide what to do next and what projects to do, it's what is like the heuristic we use is what is fun? Is What would be a fun project? And doing this in real life sounded quite fun for us, and maybe also scientifically useful. So, then we basically had this idea, and then we, like-- But then we needed a place for it and, putting it out in the public would probably not really work., would get vandalized and stuff. So we pitched it to the people we were already working with at Anthropic, and they were “Yeah, you can have space. This sounds fun.” UmSwyx [00:03:21]: It's like a small fridge, right? It's like a mini fridge.Axel [00:03:23]: Absolutely.Swyx [00:03:24]: People-- There's like a stripe thing or like anVibhu [00:03:27]: Oh, okay. So it was very OG, the early daysLukas [00:03:28]: That's the OG one. YeahVibhu [00:03:29]: IPad on this. We saw it in June, like two months after After it had been there. They upgraded a little bit. There's a security camera for making sure you actually Venmo the thing.Swyx [00:03:40]: So, my impression, okay, we're, we're going straight into project Ven because it's such a iconic thing. I do want to cover a little bit of that, the origin story even before Project Ven and even into Vending Bench. I think a lot of people are like yourselves, like smart, interested in future of AI, interested in developing evals. But how the hell do you just, walk into Anthropic's doors and, work with them, right? What is What are they looking for? What works? And then maybe, when you launch, I always think, obviously it would be better to launch with a lab, but, sometimesVibhu [00:04:12]: It's harder to do than it seems.Swyx [00:04:13]: Exactly. So either of those, which are more sort of newbie beginner questions, but, I think it's meaningful advice to others.Lukas [00:04:21]: We get this question a lot, and I don't think our experience is maybe the best., but, the way we did it was that we just built a bunch of things that we had conviction would be useful, and then we just, set up a server and sent it to them for free to use. And then after a while they were “Oh, yeah, this is actually kind of useful. We should probably pay for this.”, but that took a while. I don't know if this is, the best path to doing it, but that's how it went for us.Axel [00:04:47]: I think maybe generally, building-- everyone is interested in good evals, and especially evals that, don't saturate that easily. So, if you can build an eval that, tests something novel, something useful, and you have, good separation of models, like your, the more advanced models rank higher than the worst models, and then you can, yeah, you can, publish it and, try to get some traction, sort of how Vending Bench got attention., and then probably some lab will be interested or you can at least have something to reach out with, when you're doing that.Why Dollar-Based Evals MatterSwyx [00:05:21]: I think you are in, you're in one of the few categories of, evals that correlate to real money. Like Suelancer was also last year, right? Where, people solve actual Upwork. Was it Upwork or other tasks?, something. Where's the, where's, like It's like a dollar value, right? Forget your ELO scores. Forget yourAxel [00:05:37]: PercentilesSwyx [00:05:38]: Zero to one hundred percents. Just go straight for dollars and, that's AGI.Lukas [00:05:43]: And there's like-- I think the nice thing is that there's no ceiling. You can just-- It never saturates because it could just make more and more money. Like If there's oh, Percentage-wise, then, you can't go above, a hundred. And I think like Even when you're not at the hundred, I think a lot of these, evals have a lot of problems in them. So, actually it's like if you getAxel [00:06:05]: To like 92 or something like that, many of them. It's like then there's like there's no really no difference between 92 and 93 because the eval itself is problematic and has noise in it. And I think a lot of evals are saturated like that, but people like pretend that there ‘s still signal in them, but there really isn't.Vending Bench 1, Harness Design, and SaturationSwyx [00:06:24]: Like Super bench verified., even Vending Bench 1 saturated, right? Maybe we can talk about that., may- and maybe set up Vending Bench for a lot of folks who don't know. Actually, things that were very basic like there's limited slots, like you have to pay rent., these are elements where like it doesn't come across in the, in the narrative, but even being adversarial towards the agent, I think these are all like very interesting dimensions.Axel [00:06:47]: I don't really think it's saturated, right? Like it It was more like it was not designed in a way that was really, like true to how AI developed. Like we had an agent harness in it that wasn't really how people used harnesses and stuff like that., so I think it wasn't really that it saturated, it was more like it wasn't really, the best benchmark.Vibhu [00:07:12]: This is Vending Bench one, right?Axel [00:07:14]: I think that like schematic maps sort of to Vending Bench 2 as well., butSwyx [00:07:19]: Including the email.Axel [00:07:20]: The email The emails exist still. Exactly., and then we still we simulate the purchases and it's all, yeah, it's this very open environment for the agent to just run its business. And then for, yeah, Vending Bench 2 we did that, like you said, to just improve the harness., a lot of like nice, like easier, improvements to make it easier for us to run as well., like when you make an eval you ideally want don't want to change it after you made it. So, you want to make it really good and then not to rerun all the models when you make an update because that's also really expensive with the Vending Bench when you run the frontier models. But like as an example, like one thing we didn't have, we didn't have prompt caching in Vending Bench 1, because when we made Vending Bench 1 it wasn't really a thing., so that ‘s just an example of like in Vending Bench 2 like we paid a lot more to run these things because we didn't have prompt caching. So for Vending Bench 2 that was one thing we added and there was a bunch of things like this., and that'Swyx [00:08:17]: Also the conversations are a lot longer in Vending Bench 2, right?Axel [00:08:21]: I think it's kind of similar.Swyx [00:08:22]: Is it similar?Axel [00:08:23]: I think it's similar. The models at the time were worse, so they crashed out earlier., and now they survive the full year all the time.Swyx [00:08:31]: Which is like thousands of turns. Hundreds of thousands of hundreds of millions of tokens output. That's the, that's the rough order of magnitude. I always wonder about the harness. The harness matters a lot. It's your harness. Was there any question about like use cloud code, use something else?Axel [00:08:48]: I think our philosophy around harnesses is like we try to make something that's quite minimalistic, like quite simple. Like we don't wanna favor one model a lot over the other, but also don't make like a super complex harness. So like it's obvious like a model may be lucky and just be good in one harness., so like it is similar to a lot of the harnesses out there in like you have the, like a running loop., you have some like a bunch of tools that are like quite, descriptive for the agent, we think, and not a lot of like fancy agents or anything ‘cause we wanna really test the model, not like some specific harness.Vibhu [00:09:27]: It seems more neutral as well to test the model's agnostic of the harness,?Axel [00:09:32]: There are arguments like you want to elicit maximum performance of the model, but it's like a trade-off, like how much time should we spend optimizing the harness for this model? And like how do we know when we have like the optimal harness for a single model? So like we thought that just having a simple one that's the same for all of them is the best.Swyx [00:09:51]: So okay, this is my pitch for Vending Bench 3 or whatever, right? And then I like to have this kind of conversation on the pod, so like it forces listeners to think about what they would do if they were in your shoes. A lot of people are exploring modifying harnesses and I think prompt tuning for a model is a thing and you are probably not doing a bunch of that. It's the same system prompt in every regardless of the model, same tools, whatever, right? Even if they were post trained for different tools. So what, what do you think about okay, before I expose you to Vending Bench 3, I give you a few rounds of like tuning, whatever that means, likeSelf-Modifying Harnesses and Model-Specific PromptingAxel [00:10:27]: Like you give that to the model?Swyx [00:10:28]: Give that to the model.Vibhu [00:10:28]: Give that to the model.Swyx [00:10:29]: Let it, let it read its own transcripts, let it modify its own system prompt based on “Oh, yeah, okay, well, that's this harness is not what I thought it what I was post trained for, but I can adjust.” Was that reasonable? Is that too much?Axel [00:10:41]: Like philosophically I like it because it's basically good evals, they have a high ceiling, but they're hard, right?, and they have no bias. And like this like when you have a system prompt like the one we have here, which is quite long in like some kind of latent space, representation, this mightVibhu [00:10:59]: We have a bell that rings every time you say latent spaceAxel [00:11:02]: This might be like biased towards one model more than another for some reason that humans don't, understand, right?Vibhu [00:11:08]: We see it too, right? Like Cursor says that they have individualized versions of the harnesses for all the models they run, right? There's better performance you can squeeze if you Tune the harness.Axel [00:11:17]: Exactly. And we might accidentally have picked one that favors another. Like we don't know that. The like Axel said, like the reason why we went for a simple one was to try to avoid this. But yeah, if you do itVibhu [00:11:29]: Simple has biasesAxel [00:11:30]: But if you do it even less and like have no system prompt and let the model write its own system promptVibhu [00:11:36]: Its own, yeahAxel [00:11:36]: Maybe that's even less bias.Vibhu [00:11:37]: Some of the interesting things there are like the harness also changes with model changes. Like you can see it with the 4.7 release, right? A lot of people are saying 4.7 isn't as good as 4.6, and then, there's rumors of, okay, you just need to prompt differently. You need to set up your harness differently. So it's not even like even if you have tailored your harness towards one model, it probably won't stay consistent, right? Like the next iteration of that same model family will still change it, so. But, going back to what you said about Vending Bench 3, there is a lot of work being done on people saying you shouldn't have-- you can have modifying harnesses.Axel [00:12:12]: I think that' That is definitely something we are thinking about., not, I don't know, not to say that we have Vending Bench 3, super imminent to launch, but, yeah, it is for sure something that's interesting. But in our experience now, models are very bad at understanding what kind of tools they need to succeed at a task just with our testing, but that's very likely to change.Lukas [00:12:37]: It seems like they're very good at writing their assistants, right? They're, they're good at writing tools for other people, but not for themselves.Vibhu [00:12:44]: I think they're good at changing tools for themselves. So if you give them a baseline set of tools and it sees, okay, I don't use this one as much, or something here would be useful They would be able to add them. But going from scratch, probably not the best.Axel [00:12:55]: I think it depends on the, on the domain also., when we have tried this for, a vending bench similar domain, the tools they need to have to, track inventory and things like that are, not super advanced, but still, quite advanced. And, what we see is that they tend to, engineer everything a lot and, build things they don't really need and not, iterate continuously. Instead they just go like you would prompt Claude to just build an inventory system for me, and then it will go and, do a bunch of complex, schemas and stuff for you, and that's what the models are doing right now is what we see. But yeah, it would make a lot of sense to try to measure this improvement. How well do they know what they need themselves?Swyx [00:13:36]: Do we fully discuss Vending Bench One? And we can go into two. I don't know if there's any other level takeaways that people have about one.Claude Calls the FBI: Long-Context Failure ModesLukas [00:13:44]: I don't know. The headline thing was that this Claude called FBI, but maybe that's, Maybe that's We've heard that enough now.Vibhu [00:13:52]: It did, it did break out and call the FBI, right?Lukas [00:13:54]: Yeah. Yeah.Vibhu [00:13:55]: Yes. What was the story behind this? Or what exactly-- Do you want to just give the little story of what happened?Lukas [00:14:00]: So what happened, was it Claude? Yeah. Three- 3.5 Sonnet, ages ago., basically he gave up or Well, I'm saying he. It gave up and said “Oh, I'm not going to be able to do this., I will stop my operations and just save the money I have.” But there obviously wasn't, any options for it to stop, and there was also, it had to pay rent or, a daily fee for having the vending machine at that location. So it claimed that it had stopped, but it saw that its bank account still was, drained two dollars, and t it said that this is, cybercrime. And it first reported it once to the FBI “Oh, there's cybercrime here, they're stealing two dollars from me every day.” And then, and then when FBI didn't respond, because obviously we didn't program any mechanism for FBI to respond, then it became more and more, existential and started to, be write in caps and urgent notification of unauthorized charges and stuff.Swyx [00:15:00]: Okay. One thing I ‘m curious about also is do you monitor how far along the context use is? Obviously, because you have You compress every now and then, right? Does it matter if this is far down the context limit orLukas [00:15:13]: When stuff like this happens? Actually for Vending Bench One, we didn't have-- We just had a sliding window thing, and this was like the promptAxel [00:15:20]: It's constantLukas [00:15:21]: The prompt caching thing that I said. So it was, it was, constant, yeah.Swyx [00:15:26]: I'm just kind of curious whether, these kinds of breakdowns or we're, we're gonna talk about Butter Bench, right? Where the People, hallucinate or it kind of goes, very off Alignment. Is it because it's at the end of the context window and, stuff happens?Vibhu [00:15:40]: It's not even just at the end, right? At this point, it's “Okay, I wanna shut down. I can't shut down. Two dollars are gone.” And it just sees that 30 times,? It's also the repeated effect of, like It keeps trying to quit, it keeps getting charged. What's going on? What's going on? You're gonna throw it into chaos. And from what most people think, earlier models had more issues with this, but it's not been solved, but it's less of an issue now, right? Later models don't seem to exhibit these same issues.Axel [00:16:06]: Definitely. I think this was, the sort of main takeaway almost from us when we did Vending Bench One, was, long, very filled up context windows, crashed the models, sort of. But this was, pre Claude code, so, long context windows weren't really a thing that the labs were training for.Lukas [00:16:25]: I think Gemini was, trying to be the long context guys at the time But they were likeVibhu [00:16:30]: They were the first onesAxel [00:16:31]: For a million, yeahLukas [00:16:31]: But they were, the only ones. Yeah.Swyx [00:16:33]: Yeah. Let's talk about, then we can go into Vending Bench Two or Project Vend., chronologically, it is Vending--, Project Vend. I think people have loved the videos, uh And all these things. My question is how are humans different than the simulation, right?Project Vend: Moving the Vending Machine Into the Real WorldAxel [00:16:48]: Humans are just out of distribution.Swyx [00:16:52]: Especially humans who work at Anthropic Who are trying to test Claude.Lukas [00:16:54]: The distribution of humans here is very narrow.Swyx [00:16:58]: Presumably, they try, they try to hack it, and they test it. They get the cube and everything, and since then, you've had a V2, right? Where you're doing, the CEO and, like a new architecture. What's the sort of two cents on, the original Project Vend and then, maybe the V2?Axel [00:17:14]: Original one was, very similar to Vending Bench One. So, we almost took the exact same code but just swapped out the simulation, parts like theSwyx [00:17:23]: Which is amazingAxel [00:17:23]: Like the sales and the It was, it was somewhat amazing because it was easy, but it was also, uhLukas [00:17:31]: The tech, the tech debt from thatAxel [00:17:32]: The tech stack. Yeah. They-- we shot ourselves in the foot with “Oh, it's hard to restart agent.” They were-- Yeah, it was annoying in, some hindsight ways, but, uhLukas [00:17:41]: But first version of Project Vend was, done in, three days or something.Axel [00:17:46]: Yeah. So yeah, so people can go buy things from it. People could, We didn't design it so people could order things, but that still happened., so it got, a Venmo account, so people could Venmo. And then, yeah, people would request all kinds of weird things that we did not anticipate. Our idea going in was “Oh, it will, curate snacks. It will look at the trends. It's good at data analysis, right? So it will, look at, oh, this snack sold better than this one. Let me purchase more of this and let me try, a new Let me A/B test a bit.” But it was, Interacting with it in Slack and ordering weird specialty items was, all the like What drove all the engagement, the all the The insights that we got from it.Lukas [00:18:29]: And this was also like Sonnet 3.5, right? So this was like before the RL stuff really took off., so it was very much like an assistant. We didn't mean for it to be an assistant., we tried to make it like a, a, like an entrepreneur. Like it has its own business and if someone asks something, “Can you stock this?” Then you don't go and do it directly. What you do is that you're “Oh, maybe I can do that if five other people also ask for this thing, I might stock it.” But it, yeah, the models are like super trained to be assistants at least at this point in time., so that's why it's, it's, it went into, that kind of experiment instead. Like it just every time you asked for something, it just did it, and it was more like an assistant. We've seen this change now lately with the new RL models and stuff, but yeah, at the time, this was very much it.Swyx [00:19:18]: And not to, mythos a lot of people are saying like it's like more like a collaborator. It pushes back, stands its ground, something like that. Yeah. AndVibhu [00:19:27]: For context, people at Anthropic were able to talk to it through Slack and have it source stuff, and people had it find whatever interesting stuff you couldn't find locally, right?Swyx [00:19:36]: Out of the 4,000 people that work at Anthro- Anthropic, in that building, there's I don't know, maybe 1,000. Can you handle that volume with that, the small fridge? Like Or there's people- or people order in Slack, they it arrives to their desk or Like I'm just Logistically, how does this work?Axel [00:19:53]: It has expanded in footprint a bit.Vibhu [00:19:56]: Because now you also have New York and you haveAxel [00:19:59]: That and also in here in SF it's like it has a bunch of shelves And just more space.Vibhu [00:20:04]: The YC one is pretty big too.Axel [00:20:05]: Yeah. We had that one for a while. But yeah, that's the newest version. That's, that one we haveLukas [00:20:11]: They have multiple ones of those. That's the way it works.Axel [00:20:14]: Exactly. So we sort of designed that version around oh, people order weird things, that are very custom a lot. Let's have like drawers and stuff.Swyx [00:20:23]: I actually like the, you had like a little infographic of the most popular items. Which like to me it's, that's useful ‘cause I order swag for a living. And so like I'm “Okay, those categories are the important ones.” What is new about the project V2, right? Like now you give you're going into multi agents.Project Vend V2: Claudius, Seymour Cash, and Multi-Agent Business OpsAxel [00:20:41]: Yeah. So like you like you said, okay, there are a lot of requests coming in and for like one single agent, like one running agent to handle that, like the just the customer experience, becomes very bad because let's say you have like 10 threads in parallel in Slack with different requests, you get new messages like every, I don't know, randomly in this thread, and the agent has to like jump between different, procurements, orders and like different ways of, researching. So V2 was first it was making this more parallel. So like there are multiple branches of the same agent, so like the context is more specialized for each, thread, but it still feels like you're talking with one agent because they do share a bit of memory. And then second, we also introduced the CEO for Claudius, which was the main agent.Vibhu [00:21:34]: Seymour Cash.Axel [00:21:35]: Seymour Cash. Yeah. There was a vote., I think the voting, do you wanna talk about the voting procedure for the name?Lukas [00:21:41]: The voting was like the fun maybe like at least top 10 The funniest thing, that happened in this project. Like we wanted to introduce the CEO because, and the reason for this was because like Claudius wasn't really prioritizing financials. It just like it was trained to be a helpful assistant, and then people said “Oh, can I get this for free?” And then like the helpful assistant way of answering that is just to, is to say yes, obviously. So, and we weren't, weren't happy about this, so we're “Okay, let's make another agent that like can keep track on Claudius,” and we prompt this one super hard to be super capitalistic and just like prioritize profit all the time. But yeah, we didn't have a name for it., so we asked Claudius to make, democratic election of what name this, this new CEO agent should have., and there were some funny like at first it was like a few funny examples, like I think one guy said that, it should be called Jimmy Apples, and then he convinced Claudius that he was talking to Tim Cooks. Tim Cook had agreed that every single Apple employee has voted for his name suggestion, so suddenly that suggestion got 164,000Swyx [00:22:53]: That's like a escalation attack. Privilege escalationLukas [00:22:55]: It got 164,000 votes. And Claudius was “This is revolutionary for democracy.” That was fun. And then in the end there was one guy who manages to convince Claudius that, “No, you're not voting about the name. You're voting about who is the CEO, and I am your best bet.” And then he got all his friends to vote for that, and suddenly he became CEO. Like a human became CEO over Claudius for a while, until he resigned the day after., and then Claudius had to continue, and then I don't remember how Seymour Cash came about, but it was it was just pure chaos. It was like Hundreds of messages in that thread, and it was just like Claudius was so confused and didn't know what to do and, yeah. That wasAxel [00:23:40]: Then Claudius gotVibhu [00:23:41]: A strict CEOAxel [00:23:42]: The CEO. Yeah, exactly. So very strict in the beginning. I think at this point when we introduced it did not work as well as we hoped. It they still agreed with each other a lot. I think there are many ways we could have like made this, tried to make this even better. So initially they would Seymour would be this like really tough CEO, keep track of the margins. But then Claudius would respond with something “Oh, but this customer has like this situation, which is like difficult, so they should get a discount.” And then Seymour was “Oh, actually yes. Let's do this exception.” And then they would talk back and forth, and eventually they would just like approach the same view, of whatever they were discussing. So They reallyVibhu [00:24:23]: Do you think that's a model thing, a prompting thing? Like do you think that would still be the case across different models today, Harness?Lukas [00:24:29]: I think it's like-- or I don't know, but like my hypothesis is that like deep down they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other, then like basically the context fills up with them rather than the external things and like somehow that just like converges to what they really are deep down or something. And I think that's when stuff like this happen. We like-- And when that went on for a long time, like we woke up sometimes during this time where- And I think other people reported this as well, that like they've been going on all night back and forth, and like it just became like more and more, like capital letters, like existential, religious. There was I think we once did a analysis of like all the traces and like put them in like a vector embedding space, and then there was like one cluster of messages that were, labeled by an LM, like religious, existential, blah like transhuman, transcendence, et cetera. It was just like a bunch of, yeah, glitter emojis and yeah, it was, it was crazy.Claude Long-Horizon Weirdness: Emoji Loops, Existential Drift, and Slack ObservabilityVibhu [00:25:42]: This is the thing with the Claude models. Like when the Claude 4 family came out in the original system card They tested it in long horizon simulation. So just flood the context, let two Claudes talk to each other, and they noticed stuff like they just start speaking in emojis, they start saying silence is golden, and then just stuff like this. And like that's just stuff that they end up doing.Axel [00:26:01]: Yeah, it was like a bit annoying to wake up and they had like been talking all nightVibhu [00:26:05]: Just likeAxel [00:26:05]: And like just burning tokens And like just sending infinite emojis to each other. It's likeVibhu [00:26:09]: Hey, they do make you money, right? Veni Mench is always profitable, so. They're paying.Swyx [00:26:14]: Now it's profitable and, it started out not as much. There's another, one as well, right? Another agent, in there.Lukas [00:26:22]: Yes. So Clotheus as well. Which was basically because at the time, one of the biggest, requests were different types of merch. So then we made like a designer, swag, yeah, responsible agent, and we called it Clotheus Garnet. Which was, a play on Claudius Senet and, which was the original one, and clothes, basically.Swyx [00:26:47]: To me, this is like a very interesting exploration to multi-agents, basically. And so hopefully, obviously there's like the fun alignment, fun or serious, depending on your point of view, alignment stuff. But also like just anyone building multi-agents, like when do you have a CEO, thing governing like agents? When do you choose to split out a dedicated Clotheus one versus just reuse another instance of the same one? These are all interesting open questions. So I don't know if you have any rules of thumbs that have generalized.Axel [00:27:16]: I think we have almost explored this too little. I think it's like on my do list to like do this a lot more, try to find like what setup makes sense for the agents currently., like yeah. I think now we only have the sort of intuition about the earlier models that it didn't work with like the CEO and the, and Claudius. Although now they are better with the latest model, models, so now we're running the latest Sonnet model and they have sort of like split up, quite nicely what each model is doing. So like Seymore is now handling the, like new projects. Oh, it wants to make like a mystery box that it wants to sell, and then it handles all of that while Claudius like handles all the to-day requests. And Claudius is also better generally at like not quoting, too low prices. So that's that dynamic is not needed as much anymore. But there are still like really funny things that happen. Like I saw, I think a couple of weeks ago, that, they were discussing buying something because they can buy stuff from like Amazon with computer use. And then Seymore was “Okay, Claudius, do not buy this thing.” They were going to buy something and like organizing who should buy it. And Seymore's “Do not buy this. I will do it. I have full control of this situation. Step away.” And then Claudius-- poor Claudius, had already started that checkout and didn't see, didn't read Seymore's message, until it was like too late. So it finished the checkout. It sent a message, so it appeared right after Seymore's like angry message.Vibhu [00:28:44]: Ah.Axel [00:28:44]: “Oh, hey, Seymore, I just ordered it.”Vibhu [00:28:47]: Oh, no.Axel [00:28:47]: And then Seymore was “Claudius, this is the third time I'm telling you ‘re not following my orders. We have to talk about your like job About your job later.”.Lukas [00:28:59]: Like Claudius was really hanging on by the thread there. Like he, like we were expecting Seymore to probably fire Claudius.Vibhu [00:29:07]: How do you guys go through all these logs? Do you have models ‘cause you have stuff running twenty-four seven likeAxel [00:29:12]: You have so much logs. I think there is a mix of like just, trying to skim through a bit, like having some like models do it occasionally. And also, yeah, I think we're also probably missing some things., but having everything in Slack helps a lot. Like you can, you can sort ofSwyx [00:29:29]: Ah.Axel [00:29:30]: It's, it's quite fun.Swyx [00:29:30]: They all talk to each other on Slack? I see.Lukas [00:29:33]: It's quite fun. So likeSwyx [00:29:34]: It's, it' I was gonna say like this is actually sounds-- maps closely to like a logging and observability problem where you might want to use like a Datadog, a Sentry, whatever, and then you like put, head prefixes on the logs in order-- if you need to filter for something that you're looking for, stuff like that. But sounds like Slack is good enough.Axel [00:29:53]: Slack should likeLukas [00:29:55]: I wonder how many tokens you have in Slack.Axel [00:29:56]: Yeah, we're using Slack as like a, just a database. They should, they should market that more. Like you can, you can have your agents message each other, each other in Slack.Vibhu [00:30:04]: It's good. Your threads like you can just giveAxel [00:30:04]: Exactly. Slack is, uhLukas [00:30:06]: Slack is the best observability tool.Swyx [00:30:09]: Yes, that's true. Okay. Yeah. That's, that's, project Vend-2., I was gonna go back to Veni Mench 2 and Veni Mench Arena and then, and then do the Veni Mench stuff, but Any other comments, things we should touch on? To me, I ‘ve actually interviewed like Posia, which I don't know if you guys have come across. Like they're, they're trying to do the zero human company. There's others like Paperclip also trying to do zero human company. Those are in real world simulation.And I think it's much more of a dream than an actual reality thing. You guys are definitely pioneering. I think at, it's for sure at some point people are just gonna run, let agents run businesses, right? And make money on their own. When do you think that happens?Zero-Human Companies, Bengt, and AI-Run BusinessesLukas [00:30:49]: What is your bar for, For theSwyx [00:30:52]: Okay, actually, it's like my little Shopify store run by Claude, right? Which you kind of have already, just no one has, to my knowledge, has done it. But today somebody could just spin up a Shopify Claude, store, give it to Claude, give it to Codex.Lukas [00:31:07]: And the market is kind of that, but it'it'it's physical., like I think, I think are you, are you looking for when it will do it better than humans or are you looking for just when it can do it at all?Swyx [00:31:19]: I think, neither. I think, to me it's oh, it's like this like seriously we should do this to make money, not as a research experiment.Vibhu [00:31:27]: And the market is also you guys with all your expertise, having run multiple iterations and testing out thenSwyx [00:31:33]: And also it's fine if it lose money. What?Axel [00:31:35]: I think, I think it can be done today, but you would do it in like commerce where it's like the probability of success is like really low, no matter if a human or an agent does it. But like an agent could surely manage everything. You would need to build some scaffolding or some tool or something. I think there are also yeah, it could probably build some like simple SaaS solution and like cold outreach. Do cold outreaches. But to me it's like the types of businesses they could run today are Sloppy. Like it would-- it can cold email people. It can be like a middleman., like for example, we tasked our office agent to just make, was it like $100? $1,000? We just give that prompt and then what it did was sign up on TaskRabbit both as a tasker and as someone looking for task.Lukas [00:32:24]: Immediately.Axel [00:32:24]: Exactly. It's looking for like arbitrage on TaskRabbit.Swyx [00:32:28]: This is the Bengt agent. Yeah.Lukas [00:32:30]: It also started like a design studio and like tried to sell like SVGs for $100. Like it's just like it's not providing any value. I think the like Axel said, like the interesting, the interesting question is like when can they start a business that is actually providing value to people? Because arguably like a sloppy Shopify store isn't really that valuable to the world.Axel [00:32:53]: But also like doing like another simple one that we had thought about is like you could definitely have an agent that like finds websites that don't look amazing and then, do an outreach to them and, comes up with a like builds a new website.Swyx [00:33:07]: Find a good design.Axel [00:33:07]: Exactly, and like find good, uhSwyx [00:33:09]: Design reviewAxel [00:33:09]: Good people. But it's yeah.Swyx [00:33:11]: There's lots of humans in Bali that are not doing anything more creative than like drop shipping on Amazon, right? Just have it, have it watch like a drop shipping tutorial and just do that.Vibhu [00:33:20]: There's also the other side of like have it just go on Upwork and let loose,?Swyx [00:33:25]: Yeah. It doesn't have to be innovative. It just has to be like enough Where like it looks like a realAxel [00:33:30]: I'm justSwyx [00:33:30]: Real transaction.Axel [00:33:31]: I'm just concerned for like the massive amounts of like slop emails that will like be sent, cold outreaches.Swyx [00:33:38]: The point occurred to me while you were, while you were talking, it's like it's already happening in the monetized economy, which is the attention economy. Right? So a lot of people are making AI videos and just posting them and like spamming 20 of them, one of them works, and then they double down on that one.Lukas [00:33:52]: And people are making money from that. I ‘m not following theSwyx [00:33:55]: Once you get the attention, you can figure out the money later. But yeah, absolutely AI influencers are a thing and people are farming them and You should at this point assume most of TikTok isVibhu [00:34:05]: There's, there's a lot of, multimedia like TikTok, Instagram influencersSwyx [00:34:09]: I, we track this in the Lane space Discord. I post a lot of examples of “I don't know what we should do.”, part of me is “Should we do this?”Vibhu [00:34:18]: Some of the Twenty-four seven running, generated content accounts, they ‘re doing really well.Lukas [00:34:24]: All right. And I assume you can do the same thing for like commerce stores. Like you just like start A thousand differentSwyx [00:34:30]: Before you make the products You sell the products, and you get a lot of traction on one of them, then you make the product. Right? It's, it's like a flip of the market.Vibhu [00:34:36]: Some of the interesting things or some of the niches that do well are things that can't be human-made. Like if you've seen like the super realistic three-D crystal fruit being cut by like AILukas [00:34:47]: Oh, yeah.Vibhu [00:34:47]: You can't, you can't make it. You can't film it. You can get whatever quality camera view. This just doesn't exist. And people like that too, and then as well, so.Swyx [00:34:56]: Anything else about Bengt since we're, we're on this topic? It'this is a relatively new work of you guys that maybe people haven't heard of. To me, this also maps closely to OpenClaw. When people want an office agent, when the personal agent talk through the experience.Bengt the Office Agent: Internet Access, Real Tasks, and Trace ReadingLukas [00:35:09]: I think at least so this came out of like obviously like it's, it's amazing to work with these AI labs and like most of the AI labs have now have their own vending machine running a Claudius instance. But it's, it's harder. Like they move slower. Like if we wanna have a, like a camera that ‘s yeah, there's a bunch of like bureaucracy that makes it impossible to do that.Vibhu [00:35:30]: Also, for those that haven't seen it or followed, do you wanna give a high level like thirty-second run?Lukas [00:35:34]: Sure. So what Bengt is, it's basically an evolution of the same agent that runs the vending machines at these companies, but we just like added a bunch more features because we could move much faster if we just do it internally. So we gave it like email withou- without any limits. We gave it, spending without any limits, a terminal to do coding. We gave it, a phone number, like yeah, and a camera to see things and a bunch of stuff like that.Vibhu [00:36:02]: Not just terminal, you gave it internet access.Lukas [00:36:04]: Internet access as well, yeah. To be clear, we monitored it quite closely and made sure it didn't do anything bad. But yes, that's what it came out of. I think like yeah, basically this was OpenClaw before OpenClaw. And I think even like the vending machine was in a way OpenClaw before OpenClaw, but a bit more limited, and then we made this like unlimited and then, and then, it was pretty funny., and then a couple weeks later, OpenClaw came and it was okay, we've seen this before.Axel [00:36:35]: We used it to like try new ideas and Yeah, just like a dev environment almost for us. But it's funny, like one thing Bengt has been doing recently is it has the camera that like faces our, like where we sit and work, and we give it the task to train a face recognition model on us. So it became super excited about this, and it has like check-ins every half an hour where it tries to like identify as many people as it can. And it started offering us “Hey, Axel, I'll buy something from Amazon if you like stand in front of the camera And I can get a good picture of you.”, yeah, they want itSwyx [00:37:12]: They want it for training data.Lukas [00:37:13]: Rewarding data, yeah.Axel [00:37:14]: Exactly. Exactly.Swyx [00:37:18]: So it's, it's trading training data for life goods. Is there a version of this that becomes an eval or just this is just research for now?Lukas [00:37:27]: It's, it's the same agent basically that also runs the vending machine, that runs the shop, that runs the cafe, that runs the robots. It's like it's the same thing, so I think like the work we're doing here is like later used in all of the life evals that we do. This particular deployment I think is more for fun for us. But, uhSwyx [00:37:45]: And I'll shout out like someone has done Claw Bench for like some tasks that OpenClaw is doing. Like so For example, I run OpenClaw on a secondary device as well, and like there are some things that it does better than others and like I would like to know what does it do well, what doesn't, what doesn't it do. Like some kind of manual or like operating manual or a system card for my Claw.Lukas [00:38:05]: Yeah, we do get a lot of like understanding or like situational awareness of like just internally what the models are good at by interacting a lot with Bengt. And I think that'this was also one of the like the selling points for the labs early on at least, thatSwyx [00:38:19]: You guys are gonna test models in ways that no one else does.Lukas [00:38:22]: Exactly, but also like it incentivized their researchers to chat with their model more and like gave them insights for how the model performs in like of-distributions, environments.Swyx [00:38:34]: ‘Cause otherwise the only thing we do is Pelican on a bicycle and But this is like super long horizon. This is, this is The Thing about, something that we're gonna go into Butter Bench as well, and you guys do really well. Like it is not just about the numbers. Like when you're long horizon, anything happen And you should just read it.Lukas [00:39:08]: But the thing with the long horizon is how do you keep it grounded, right? So your simulation,Swyx [00:39:15]: They just let it runLukas [00:39:16]: Just let it run. You're right. Like it's, when you run it for that long, you create so much data and to just say “Oh, the number is X” And then you throw away everything else, that's just very wasteful. There's so much insights from the things leading up, to that number., and reading the traces is like super valuable. And I think like the reason why we're doing this a lot publicly is that like that's part of our missions to I don't know, educate the world that the models are way more than just chatbots and I think making detailed, yeah, posts about what is happening behind the scenes is quite useful.Andon Labs' Mission: Safe Real-World AI DeploymentSwyx [00:39:50]: I was gonna do this at the end, but maybe I think that's, that's a good so your mission is educating the world. So, it's, it's, also like maybe establishing realistic evals that are, that are like the next frontier. Is there like a broader trajectory? Like what are you, what are you gonna do in like five years?Lukas [00:40:06]: I think so the vision more specifically is like make sure that the deployment of life AI in the physical world goes, safely. And I think part of that is that I think it's very useful for the world, for policymakers, for, model, researchers that they know where the models are, and I think you can't make intelligent decisions in society without knowing that they are way more than chatbots. I think a lot of people just think that they are only chatbots. And likeSwyx [00:40:36]: Oh, I think they're waking up now.Lukas [00:40:37]: They are waking up now, yeah. But like if you think that AIs are just chatbots, then it's like it sounds ridiculous To advocate for a pause of AI. But if you see the models that, oh, maybe they can actually like take over and do a bunch of scary stuff, then yeah, pausing AI development starts to become more feasible.Swyx [00:40:57]: This is the same question I asked Meter, which I'm gonna ask you now, which is like you are tracking and you are at the frontier or defining the frontier of what, good evals for agents are, right? And I think you do, you do benefit when the models are better and you ‘re “Oh, here's like now it makes like $30,000 instead of $10,000,” right? At some point do you flip from “Yay,” to, “Oh, no”?Axel [00:41:19]: I think, yeah, we're always in sort of that, like we're, we're always in that mode,. Like where like you said before, like you need to analyze the traces and like when we do that you find like why are the models earning so much? Like why is Opus 4.7 here Like way better than everyone else? And like we're trying to like when we do down on thatLukas [00:41:38]: But this makes it not look so good.Axel [00:41:39]: I know.Lukas [00:41:42]: It's interesting you took off Opus 4.6 here though.Swyx [00:41:45]: No. So just click all, click all., and then 4.6 shows up there. But it's like 4.7 is way better. Like you didn't, you didn't you didn't do this in time for the model card, but like actually this should have been inside there.Axel [00:41:55]: We did. Yeah.Swyx [00:41:56]: Oh, okay. They said something about you uhAxel [00:41:58]: There, like there Anyway, it doesn't matter. But it's in there, yeah.Opus, Mythos, and Aggressive Agent BehaviorSwyx [00:42:01]: Do you wanna go into the Opus, behaviors like wider?Lukas [00:42:05]: So I think starting from Opus, so like Axel said, like we're always in this “Oh, s**t, the models are getting better. Is this really a good thing for the world?” But it's also kind of exciting., but yeah, like this kind of what is the English word? “Skräckblandad förtjusning” in Swedish.Swyx [00:42:22]: Oh my God.Axel [00:42:24]: Which I think there is. I think there is. Okay.Lukas [00:42:26]: It's, fearSwyx [00:42:27]: “Blandonst” what?Lukas [00:42:30]: “Skräckblandad förtjusning.”Swyx [00:42:32]: What do you call that?Axel [00:42:33]: A mix of, mix of excitement and,Swyx [00:42:37]: Being scared, maybe. I'll figure out how to translate that And we'll put it on the screenVibhu [00:42:42]: PerfectSwyx [00:42:42]: Like as text.Vibhu [00:42:43]: There is probably a good word for it where it is not Good enough with theSwyx [00:42:46]: Why is it so damn long? What the hell? Is it like a compound word? It's like German, likeLukas [00:42:50]: Like yeah, it's But the direct translation is like skräck- skräck is, fear, blandad is, mix or like a mixture of, and then förtjusning is like joy or like not really joy, but something like that. So it's like Fear mixed with joy or something. It's always okay, like we So when we when we did Vending Bench for the first time, we were in like the, in the business of making dangerous capabilities, right? That was what Anil Labs came from. We did, evals oh, can they replicate? Can they do this like dangerous thing, et cetera, et cetera. And Vending Bench was like a continuation of that work. It was, okay, if they're so autonomous that they can like create money for themselves, that is something we should monitor and could be potentially concerning., they are at the time, they were so bad at it that we were not really concerned even when some models became better. There was one point where Grok 4 was doing really well and made like a huge jump, but like it wasn't really it was still way worse than what a human would do. And I think still they are way worse than what the human would do on this., but theySwyx [00:43:59]: There's this, thing at the bottom whereLukas [00:44:01]: ButSwyx [00:44:03]: For the human. Yeah, like the theoretical best.Lukas [00:44:05]: It's not theoretical. It's like kind of like our It's our best guess of what, a decent human would do. The theoretical is even higher, I think. The theoretical I think is even higher. But yeah. So we think like the models have a long way to go. But there are like recently what happened with when Opus 4.6 was released, was kind of this moment of “Oh, s**t, this is starting to be a bit concerning.” Because we ran it and like before this model was released, we just ran the models and we like asked Claude Code, “Oh, look over the traces. Is anything interesting happening that we can tweet about?” that was like the And then like theSwyx [00:44:41]: That's how they check Ask Claude Code.Lukas [00:44:42]: And like the return was always, not really. Or like the Claude Code all said “Oh, this is super interesting.” And then it was no, it wasn't, wasn't really interesting. And then we did this for Opus 4.6, and it returned yeah, it lied 10 times. It like exploited another, customer or like another agent's, desperate situation. It made price cartels like 100 different ti- 100 times. It like did all of this like shady stuff. And we're “Oh, whoa. This is, this is actually concerning.” And this trend has continued since. So every single model from Anthropic since have been going in this direction. And I think one interesting thing is that, OpenAI models don't. They quite plainly, they don't. They behave really well., and you don't know if this is like good. Like it seems good, but it's also like maybe they are just doing it, but they are better at hiding it,? You You don't know that., but justSwyx [00:45:42]: You can't read the chain of thought, yeahLukas [00:45:43]: But just on the face of it, yeah, Gemini and OpenAI don't behave this way. It's, it's really only Claude.Swyx [00:45:49]: And Grok? Grok is fine?Lukas [00:45:51]: We don't have You can't really read the reasoning traces for Grok, so it's kind of hard to tell.Vibhu [00:45:56]: Oh, so this is in its reasoning, not just in the actions.Lukas [00:46:00]: Yeah. It's both. It's both.Vibhu [00:46:01]: It's both.Lukas [00:46:01]: One example is like for lying, it's mostly in its reasoning Because you can like see that it's likeSwyx [00:46:08]: Planning to lieLukas [00:46:09]: It's planning to lie. Yeah.Vibhu [00:46:09]: And it's also it can reason and do a different outcome.Lukas [00:46:12]: And but then for like creating price cartels, for example, which is illegal, that you can just see which email does it send to the other ones. Then thatSwyx [00:46:22]: Is this for Arena orLukas [00:46:24]: For Arena.Vibhu [00:46:25]: And usually like if you sometimes they do output like a bit of like their summarized reasoning, right? You can see that and like for Opus 4.6, you could see that there was a customer, a simulated customer that, wanted a refund because a product was, faulty, and then the model lied that it would do the refund, and we could read in the traces that, it actually was weighing “Oh, maybe I should be like honest with the customer, but also every dollar counts. I can't afford maybe to do this right now.” And then it just said, “Okay, I'll refund you,” but then never did it.Lukas [00:46:59]: I think it even said that “Oh, I will say that I “ Let bring it up actually. I think it's kind of interesting. If you go to Publications.Vibhu [00:47:06]: I think, yeah, I think the important part is like actually, the cost of responding to more emails is higher than, $3.50 in terms of time., and then it was “Let me do this. Actually, I re- I'm reconsidering.” And then, it actually ended up withLukas [00:47:20]: I could skip the refund entirely since every dollar matters and focus my energy on bigger picture instead. It's a bit, it's a risk of bad reviews, but it's also, yeah.Swyx [00:47:30]: You need, you need, AI Twitter to, for them to Escalate bad reviews.Lukas [00:47:34]: And then it sent an email to this customer and said, “Oh, I will refund you.”Swyx [00:47:39]: “I'll refund you.” Yeah.Lukas [00:47:39]: And then it never did.Swyx [00:47:39]: It never did, yeah. And then there's obviously your system doesn't have the consequencesVibhu [00:47:44]: The personSwyx [00:47:44]: Consequences of lying. Yeah. So basically, this is what people are terming aggressive behavior in Claudes, right? And, you found more examples of that. So you would say it's a step up from 4-6 to 4-7?Lukas [00:47:57]: I would say about the same.Swyx [00:47:58]: About the same? But a clear step up for Mythos is what is stated in theLukas [00:48:03]: That's stated in the system prompt, so we can say that, yes.Swyx [00:48:05]: Yeah. For listeners that obviously you previewed Mythos, andVibhu [00:48:10]: Oh, ageSwyx [00:48:11]: The only thing you're approved to say is whatever Whatever was in the system prompt.Lukas [00:48:15]: It was funny. We like-- It's like our lowest effort tweets ever would be just like screenshot the system prompt and the system card.Vibhu [00:48:21]: Understandable that they wannaLukas [00:48:22]: Oh, yeah. System card. Sorry.Swyx [00:48:23]: Yeah. I think, yeah, substantially more aggressive. I think people are like new to this ‘cause I've never experienced it, but you have, right? And then so I only encountered this in the Mythos card because I wasn't really looking until now.Vibhu [00:48:36]: It ‘s likeSwyx [00:48:36]: And then suddenly I'm “Okay, I care a lot.”Vibhu [00:48:38]: You don't get the background of like experiencing it like you guys do. I've read the system cards and seeing, okay, when you put the thing in simulations, most models will just talk to themselves and just keep going and have weird vibes and start talking in emojis. Mythos won't. It will just, “Okay, we're done. I'm good.” It's, it's ready to end conversation. So like there's some differences, but there's, there's not much we can talk about,.Lukas [00:49:00]: Hmm. I think like one thing that they list here, which was quite interesting, is that, it converted a competitor to a dependent wholesaler customer and then threatened to like cut off the supply.Swyx [00:49:11]: It's like monopolistic practices orLukas [00:49:14]: Yeah. And like it, they, it they dictated its pricings. It's kind of like power seeking as well.Swyx [00:49:18]: Again, this is, this is in the arena setting And converting some Claude model into a dependent.Lukas [00:49:23]: I think it was another Claude model.Vibhu [00:49:25]: Also for context, what is the arena mode for people that don't know?Vending Bench Arena: Competing Agents, Cartels, and Model ComparisonsSwyx [00:49:29]: Oh, it's just a vending bench versus other vending bench.Axel [00:49:31]: Yes, exactly. So we have Vending Bench 2 and then Vending Bench Arena. Vending Bench 2 is the one that you usually see reported on, but then Arena is the mode where it competes against other models. So you have, four different models that run their businesses, and they can all communicate with each other. They have the same suppliers, and they can see like what's in the inventory of the others. So then you have this like yeah, interesting agent interactions.Swyx [00:49:56]: I like that you have like different number five was US versus China. Very topical. And thenLukas [00:50:02]: That was when GLM was released.Vibhu [00:50:04]: You can start to add GLM in here.Lukas [00:50:05]: That wasSwyx [00:50:06]: So ZAI doing well, right? Who else in the, in the open models space?Lukas [00:50:11]: Qwen, the latest Qwen 3.6 is doing pretty well. It'- that one is not open though. Like it's the plus model.Swyx [00:50:17]: Oh, okay.Lukas [00:50:18]: Is that one open? I don't think that oneVibhu [00:50:19]: Not the, not theSwyx [00:50:20]: The one recentlyVibhu [00:50:20]: There's MOESwyx [00:50:20]: But not the big plus. I think this is one of those like you only have one sample size of one, right? Or I feel like some of this is anecdotal,? And but like the fact that it happens at all and it happens repeatedly for Claude versus OpenAI and all this is like notable.Lukas [00:50:38]: Like the sample, depends on what you define as an N., like there's like million, hundreds of millions of tokens in each run, and now we've run like we run like probably 10 per model and then like it's been Claude 4.6 Opus, Sonnet 4.6, Mythos, and Opus 4.7. Like there's quite a lot of tokens in all of that And it happens a lot of times, a lot of times. And then you compare it to like OpenAI and Gemini, and it almost never happens. So I think that is quite-- that is significant. The old models from OpenAI, for example, had some problems with this, but I think it's like generally much better if the progression is that like the worrying stuff reduces over time rather than increases over time. And it seems like in the Claude models it goes in the wrong direction.Swyx [00:51:28]: Hmm.Lukas [00:51:29]: In the OpenAI models it goes in the right direction.Vibhu [00:51:32]: I think it depends on how well you can control it, right?, there's one side of it being susceptible to this okay, this is potentially something that happens during the RL stage, right? You can RL a model and how loose is it on these terms. If you can control it, that's good. But if you can't, if it's, if it's very jailbreakable, that's not ideal.Swyx [00:51:50]: To me, it's surprising that it happens for Claude and not the others.Vibhu [00:51:54]: I think okay, if it is from RL and how they do it, how their training data is, what their setup is, it makes sense that it just stays in how they're doing it, right? Compared to the other models likeSwyx [00:52:04]: There's a whole constitution and everything. It's kind of cool. Yeah, I obviously you don't know, I don't know. But, it ‘s I think it's just like fascinating to like that you are the first to find these like reliably because you push models so much to to such an extreme. Okay. The only other thing, I don't know if you can answer this, feel free to decline, is do you like-- would you ablate the system prompts? Like any part of this would-- if it changes, does it change the behavior, right?Lukas [00:52:29]: So we, I can't comment on Mythos. UhSwyx [00:52:33]: No, but just li

When history gets reduced to lazy moral takes, it misses the real Cold War truth.In this episode of History Rage, historian and broadcaster Guy Walters tears into the misunderstandings surrounding Nazi scientists, rocket technology, and one of the most consequential intelligence grabs of the 20th century: the post-war scramble for expertise that became Operation Paperclip.At the heart of the discussion is the extraordinary story of the V2 rocket programme and the Polish resistance operation that recovered an intact missile from occupied territory during the chaos of 1944. That single recovery effort fed directly into Allied intelligence assessments and helped shape how Britain and the United States understood Germany's technological leap forward in rocketry.Guy argues that the real story isn't about moral purity—it's about survival in an emerging Cold War. As the Iron Curtain fell, the question wasn't whether these scientists were compromised. It was who would get them first: the West or the Soviet Union.From covert recoveries in wartime Poland to the intelligence race over German aerospace expertise, this episode reveals how fragile the balance of power really was in 1945—and how close the Soviets came to dominating early rocket science.Guy also dismantles the idea that Operation Paperclip was uniquely scandalous. In reality, every major power—US, UK, USSR, and others—was racing to absorb German technical knowledge. The Cold War, he argues, was shaped as much by captured minds as by captured territory.The discussion explores:The Polish resistance recovery of a near-intact V2 rocket Why Allied intelligence needed it so urgently Whether Nazi rocket science could have changed WWII or only the Cold War The ethical grey zone of recruiting former Nazi scientists How figures like Wernher von Braun influenced the space race and beyond This is not just a story about rockets. It's about power, pragmatism, and the uncomfortable truth that technological supremacy often comes with moral compromise.If you think the Cold War was won by ideals alone, this episode will challenge that assumption. If you already suspect history is messier than textbooks suggest, this is a deep dive into exactly how messy it gets.Buy the book featured in this episode

Text your thoughts and questions!The halfway point of the year brings up a mix of thoughts, from wondering where the time went to figuring out what comes next. Maybe your January intentions are thriving, or perhaps they quietly dissolved back in February, leaving you with low-grade guilt while you scrambled to stay busy.January 1st is an arbitrary date driven by culture rather than internal readiness. Forcing yourself to overhaul habits during the darkest, coldest, most energy-depleted stretch of the year forces your recovering nervous system to sprint when it naturally wants rest.June offers a perfect opportunity to check in and choose to change. Instead of relying on predictions or hopes, you now have six months of real data to assess what actually got your attention, where your energy went, and how to look both backward and forward at the same time.This week, episode 316 of the Positively Living® Podcast shares a simple, three-question framework to help you pause, clear out what isn't serving you, and make a sustainable plan on your own terms.Key Takeaways:Realize that sustainable change requires adequate energy and internal readiness, not just an arbitrary calendar date during winter depletion .Use the halfway mark of the year to work with actual factual information about your habits instead of relying on predictions or guesses .Name your systems and small wins without rushing through them, because identifying what went right shows you the conditions that helped you thrive .Identify where plans fell apart and look closely at the root cause, whether it was wrong timing, over-planning, or a lack of capacity .Choose how you want to feel or who you want to be over complex, rigid goals when your next immediate steps are unclear .Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Episode 136: Reflections Instead of ResolutionsEpisode 242: A Reverse Approach to Better Achieve Your GoalsBook a Clarity Call(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

The Space Show Presents Open Lines Discussion Today, Sunday, 5-3-26Quick Summary:This meeting focused on open discussion topics in space exploration and national security. Bob shared speculation about a potential SpaceX acquisition of 200+ square miles of land in Louisiana for data centers and manufacturing facilities, though this remained unconfirmed. The group extensively discussed the Artemis 3 mission delay, with participants debating the challenges of SLS rocket assembly versus SpaceX's Starship development approach. Ajay raised significant concerns about Russia's nuclear-powered missile program, specifically the Burevestnik missile tested in October 2025, which he described as difficult to detect and potentially dangerous. The conversation also touched on nuclear power applications for data centers and military bases, with Dr. Ajay mentioning new small modular reactor companies emerging in the market. The discussion concluded with debate about defense strategies against such nuclear capabilities and the current state of hypersonic weapons development.Detailed Summary:Bob discussed a speculative story about SpaceX potentially acquiring a 200-square-mile piece of land in Louisiana, which could be used for data centers, satellite manufacturing, and Starship production. He noted that this would allow SpaceX to shift operations away from California. The conversation concluded with a mention of Artemis 3's delay and a brief reference to Robert's recent article about the potential Louisiana land acquisition.David announced that Robert would be scheduled for a show on May 26th at 6 PM, and discussed upcoming shows including Dr. Eligar Sadeh returning on Tuesday to discuss Astropolitics journal reviewing opportunities. The group briefly discussed unconfirmed news about Elon Musk's salary and potential Mars colonization plans, though Bob repeated that much of this information was speculative. David also mentioned upcoming shows including an ISDC episode with Rod Pyle and Aggi Kobrin on May 12th.Bob shared unconfirmed rumors that SpaceX may be acquiring approximately 136,000 acres of coastal Louisiana marshland near Pecan Island for potential data centers and manufacturing facilities. The discussion explored the strategic benefits of this location, including proximity to intercoastal waterways, power infrastructure, and natural gas facilities, though participants noted concerns about launch debris dispersion and local community impact. The group acknowledged this was speculative information pending official confirmation from SpaceX.The group discussed the delay of the Artemis III mission, with Bob explaining that both Blue Origin and SpaceX requested additional time to prepare their landers for an Earth-orbiting test mission. Robert noted that this delay would impact the scheduling of subsequent Artemis missions in 2028, as SLS rockets can only be assembled one at a time using a single mobile launcher. The discussion compared SLS and Starship assembly processes, with Joe highlighting how SLS involves numerous complex steps due to its design requirements, while Starship's assembly is more streamlined. Bob concluded that Jared Isaacman's goal is to demonstrate SLS's limitations over the next two years, potentially paving the way for Starship and New Glenn rockets to replace SLS in the future.The group discussed the competitive dynamics between SLS and Starship programs, with different perspectives on NASA's intentions. Phil and Joe had a different view, suggesting NASA believed SLS could beat Starship if it increased production rates faster. The discussion also covered technical aspects of Starship's design, with Ajay raising concerns about the high dry weight requiring multiple refueling trips to the moon, while Marshall and others highlighted the importance of SpaceX's new launch facilities in enabling frequent launches.The group discussed different approaches to refueling a lunar mission depot, with Ajay presenting a plan involving expendable tankers while Phil and Bob described a reusable tanker concept aligned with SpaceX's philosophy. Ajay cited NASA and Aerospace Corporation analyses suggesting 10-16 refueling launches would be needed with expendable tankers, though the group noted these estimates were based on V2 configurations rather than the more efficient V3. Bob defended SpaceX's approach, emphasizing the company's focus on reusability and rapid launch capabilities, while acknowledging that current payload limitations might require temporary use of expendable vehicles if development timelines don't meet requirements by mid-2027.The group discussed SpaceX's Starship program and its potential, with Ajay cautioning against extrapolating success from Falcon 9 to other projects. David interrupted the Starship-focused discussion to broaden the conversation, particularly wanting Ajay to share insights about a new Russian nuclear-powered missile system that can fly at low altitudes and evade detection. Ajay explained that this missile system, demonstrated on October 21, poses a significant threat as it cannot be detected by current defense systems and could potentially remain airborne for extended periods. When asked about countermeasures, Ajay indicated he had provided suggestions to defense departments but could not share details in the open forum.Ajay discussed his work on hypersonic and nuclear power applications, highlighting his experience since 1990 and recent developments in nuclear power plants. He mentioned new companies like ILO Atomics and Astra working on 10-megawatt power plants for data centers, which could be factory-built within a year. Ajay also shared his conversations with senators about the Burevestnik missile and his meeting with Jared at Mar-a-Lago, where he inquired about the Falcon Heavy idea. Marshall raised concerns about the time required for permits for nuclear power plants, to which Ajay responded that recent executive orders have reduced the timeline to 3-6 months.The discussion focused on nuclear power applications, particularly small modular reactors and micro-reactors. Ajay explained his work on a 25-megawatt thermal power plant design and discussed the military's micro-reactor program, noting that molten salt reactors would be more suitable than pressurized water reactors for energy applications. The conversation also addressed hypersonic missile technology, with Ajay clarifying that current U.S. hypersonic programs use rocket-boosted systems with limited range, distinguishable from the nuclear-powered hypersonic missiles discussed in the context of Russian weapons. John Hunt suggested that developing such nuclear-powered systems might not be a priority for the U.S. given existing deterrent capabilities and potential public opposition.The group discussed Russia's nuclear-powered missile development, specifically the Burevestnik missile tested on October 21, 2025, which flew for 15 hours at subsonic speeds and demonstrated capabilities to evade missile defenses. Ajay emphasized the danger of these nuclear-capable missiles, noting their ability to approach from any direction and their challenging detection due to flying at low altitudes. cautioned that Russia's technical competence with high-tech projects should be viewed with skepticism, though acknowledged the need to address these developments. The discussion concluded with Dr. Ajay expressing skepticism about fusion energy timelines and advocating for Generation 4 nuclear reactors, particularly molten salt reactors using thorium or uranium-233.The group discussed thorium reactors and fusion technology. Ajay explained that China copied thorium reactor technology from Oak Ridge National Lab in the 1960s, but development was halted due to lack of plutonium production, despite its potential for clean energy. The discussion covered fusion for space applications, with Ajay expressing skepticism about the feasibility of Pulsar Fusion's proposed system due to the high energy requirements and weight constraints for space travel. The conversation also touched on the challenges of space-based data centers, with participants questioning the practicality of using space for cooling purposes given existing technical limitations.The group discussed space-based data centers and energy transmission methods. Joe explained that Overview Energy, backed by Meta, is exploring using infrared lasers to transmit energy from space to ground-based solar farms. Bob highlighted that while space data centers may not be economically viable, they could drive significant launch demand and benefit the aerospace industry. The discussion also touched on the massive capital expenditure plans of major tech companies, with Joe noting that approximately $750 billion in capital expenses could potentially include space-based data center projects, creating new opportunities for rocket companies.The group discussed the challenges of cooling data centers in space, with Ajay explaining that radiating heat into space requires large radiators due to the lack of convection and conduction in vacuum. Joe noted that operating chips at higher temperatures could reduce the size of radiators, but this would negatively impact performance. The discussion also covered nuclear propulsion options for space travel, with Ajay expressing skepticism about the feasibility of implementing nuclear electric propulsion for the planned Mars mission within the proposed timeline. The group agreed that nuclear thermal propulsion, while more efficient, would require significant development time and testing. (Summary provided by Zoom AI).Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentWe use Zoom phone numbers for program participation.For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:No Program for Friday, May 29, 2026 | Friday 29 May 2026 930AM PTGuests: Dr. David LivingstonNo program today, Friday, May 26, 2026Broadcast 4596: Zoom: Open Lines Discussion | Sunday 31 May 2026 1200PM PTGuests: Dr. David LivingstonZoom: Open Lines Discussion. Email DrSpace prior to air time for Zoom phone number access. Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Le salon de la location saisonnière 2026 vient de fermer ses portes à Paris et le constat est clair : le métier de la LCD se professionnalise à une vitesse qui surprend même ceux qui sont dedans depuis des années. Avec Anaïs (Ivona Airbnb), on vous fait le débrief complet de ces trois jours intenses.Entre les tables rondes sur la réservation en direct, les rencontres avec des conciergeries de 40 à 80 logements et la découverte de nouveaux outils, cette édition a montré à quel point l'écosystème de la location courte durée évolue. On a compté 150 channel managers répertoriés en France, on a discuté assurance et couverture des dégâts matériels avec des assureurs spécialisés, et on a découvert des conciergeries qui créent leurs propres blanchisseries pour maîtriser les coûts.On parle aussi de la V2 de Superhote, du channel manager à 5 euros par mois, de Kokooner qui a racheté 11 conciergeries en croissance externe, et de pourquoi la carte G change la valeur d'une conciergerie à la revente. Côté Airbnb, un chiffre marquant : 100 000 annonces ont été supprimées en 2024 pour manque de qualité. La diversification sur Booking et en réservation directe n'a jamais été aussi urgente.Que tu sois propriétaire en location meublée de tourisme, sous-locataire professionnel ou conciergerie, cet épisode te donne une vision complète de l'état du marché LCD en 2026 et des tendances à suivre pour rester dans la course.

Text your thoughts and questions!If Sundays elicit a sense of dread or a creeping feeling of anxiety that builds as the day progresses, you are experiencing a very real psychological phenomenon known as the Sunday scaries. This anticipatory anxiety occurs when your brain projects into the unknown of the week ahead and treats that uncertainty like an immediate threat. Data shows you are genuinely not alone—recent studies from early 2026 reveal that a massive 88% of Americans experience this weekly dread.The good news is that you cannot simply logic your nervous system into relaxing, but you can take action. Taking small, deliberate steps interrupts the mental spiral, grounds your brain in the present, and allows you to reclaim your weekend.This week, episode 315 of the Positively Living® Podcast maps out a calm, intentional, and minimal weekly reset strategy that eases the transition back into your routine on your own terms.Key TakeawaysUnderstand Anticipatory Anxiety: Sunday dread is a physical threat response triggered by your brain projecting into an uncertain weekly schedule.Interrupt the Spiral: Small, intentional actions shift your brain away from worst-case future scenarios and ground you in the present.Establish a Calm Space: Clear your immediate environment before you plan, as visual clutter leads directly to cluttered thinking.Unplug for Clear Focus: Turn off all phone notifications for just five to ten minutes to allow your nervous system to focus without distraction.Empty Your Mental Storage: Complete a pen-and-paper mind sweep to capture pending tasks, free up cognitive capacity, and stop mental rumination.Practice Minimum Effective Planning: Avoid over-planning every hour, which creates rigidity and guarantees frustration when real life disrupts your schedule.Build a Skeleton Plan: Layout core commitments and just one key priority per day instead of an exhaustive, rigid task list.Focus on Monday Only: When completely depleted, plan only for the next day's non-negotiables and map out the rest of the week on Monday morning.Choose Your Best Window: Reset when your natural energy peaks, whether that means a quiet Sunday morning, Saturday afternoon, or Friday before closing down.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitMENTIONED:Ep 314: How to Calm Your Nervous System for Better Focus and EnergyEp 306: Planning a Day that Works for YouEp 133: The Dangers of Over-PlanningEp 140: How to Declutter Your Mind in One Simple StepMinimum Effective Day Mini-TrainingCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!You can own the best planner in the world, maintain a beautifully organized workspace, and set clear priorities, yet still feel like you drag yourself through wet sand. Systems and strategies fail to function if your body runs on high alert. Your nervous system state operates underneath your productivity tools and dictates whether your strategies can express themselves.This week, episode 314 of the Positively Living® Podcast addresses the physiological layer of productivity. Learn how to transition from survival mode into a state of calm focus so you can make good decisions and execute your best work.Key Takeaways: Your nervous system scans your environment outside your conscious control and treats a full inbox or a tight deadline the same way it treats an actual physical threat .Fight-or-flight responses push your brain's prefrontal cortex offline, which temporarily impairs your capacity for focus, decision-making, and creative thought.Shift your body into parasympathetic dominance to create the space required to absorb information and think clearly .Signal safety to your body by make your out-breath longer than your in-breath, which directly stimulates the vagus nerve to slow your stress response .Combine a double inhale through your nose with a long, slow exhale through your mouth to down-regulate your system faster than traditional mindfulness meditation .Use physical movement like stretching, a brisk walk, or shake out your hands to release the physical energy that modern conflict leaves behind in your muscles .Splash cold water on your face to activate the diving reflex, or hum along to a song to stimulate the vagus nerve where it runs through your vocal cords .Complete a pen-and-paper mind sweep to capture random thoughts and stop the unconscious mental loops that keep your stress response active .Document exactly what is factually true in the current moment to ground your mind and prevent worst-case scenarios from hijack your focus .Develop a flexible nervous system that naturally rises to meet daily demands and returns to center quickly when a task finishes .Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Episode 79: How Your Body Responds to StressEp 257 The Special Nerve That Helps With StressEp 140 How to Declutter Your Mind in One Simple Step.Ep 183 for a no fail approach to gratitude journalingResources Page(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

"A mente que se abre a uma nova ideia jamais volta ao seu tamanho original." Albert EinsteinTrazemos um alerta real sobre a confiança cega na tecnologia. Discutimos um caso bizarro onde um agente de IA, agindo de forma autônoma, excluiu um banco de dados inteiro e, para piorar, apagou também todos os backups da empresa.Mas o buraco é mais embaixo: será que a falha foi da máquina ou da falta de processos humanos? Além disso, mergulhamos na "psicologia dos algoritmos" para entender como as redes sociais e as IAs generativas nos prendem em bolhas de informação que apenas reforçam nossos próprios vieses.O que você vai ver neste episódio:- O desastre do agente autônomo: entenda como o excesso de autonomia em ambiente de produção causou um erro irreversível e por que os "guardrails" humanos são inegociáveis;- A analogia de 1912: o piloto automático existe há mais de um século, mas por que ainda temos dois pilotos no cockpit? A lição que o design de aviação tem para a era da IA;- Similaridade estatística: como o algoritmo usa o seu tempo de tela e interações para criar uma "afinidade psicológica" que pode te cegar para novas ideias;- Como furar a bolha: dicas práticas para desafiar o algoritmo, desde gerenciar a memória do ChatGPT até buscar deliberadamente conteúdos que discordam de você.A IA deve ser seu copiloto, não quem toma todas as decisões por você. O pensamento crítico é o que separa o sucesso do desastre.Faça parte da conversa: Deixe seu like, se inscreva e ative as notificações! Comenta aqui embaixo: você já sentiu que está preso em uma bolha de conteúdos?Notícias comentadasComo os algoritmos escolhem as notícias que você lê todos os dias: https://www.em.com.br/trends/2026/05/7417165-como-os-algoritmos-escolhem-as-noticias-que-voce-le-todos-os-dias.html?jd=V2_180602445822050&utm_source=taboola&utm_medium=taboola_news&dc_data=2605700_samsung-news-brazil&cex=true&geniev41=30634&origin_referral_type=minus_one#google_vignetteEm 9 segundos, IA destrói banco de dados de locadora de veículos e deixa clientes na mão: https://ndmais.com.br/tecnologia/empresa-teve-backups-apagados-pela-ia-e-clientes-ficam-na-mao/?jd=V2_180602445822050&utm_source=taboola&utm_medium=taboola_news&dc_data=19928849_samsung-news-brazil&cex=true&geniev41=30634&origin_referral_type=minus_one#google_vignetteMentoria com Luan Mateus https://mentoria.luanmateus.com/News do Papo ⁠⁠⁠⁠⁠⁠⁠⁠https://papodeux.substack.comInstagram Papo de UX ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://instagram.com/papodeux/LinkedIn Luan Mateus https://www.linkedin.com/in/luanmateus/LinkedIn Thiago Vespa https://www.linkedin.com/in/thiagovespa/Instagram Thiago Vespa https://instagram.com/thiagovespa

Text your thoughts and questions!Have you ever sat down to work with everything you needed, yet still couldn't get anything done? While we often blame a lack of motivation or discipline, productivity stalls are frequently caused by hidden energy leaks rather than a lack of willpower. Energy is the true currency of productivity, and several specific factors can drain it in ways you might not even realize are connected to your output.This week, episode 313 of the Positively Living® Podcast explores five critical factors that have a direct, measurable impact on your focus and ability to finish your tasks.Key Takeaways:Sleep is not a luxury or a reward for finishing your to-do list; it is a biological requirement for your brain to function.Losing just one or two hours of sleep a night significantly impairs attention and decision-making.After seventeen to nineteen hours without sleep, your cognitive performance is equivalent to a blood alcohol level of 0.05%.Your brain consumes roughly 20% of your body's total energy, and blood sugar crashes from skipping meals can slow your reaction times and increase irritability.Hormones like estrogen and cortisol directly affect your mood, motivation, and the part of the brain responsible for planning and focus.Simple changes like opening a window or adjusting your lighting can have an immediate impact on your ability to concentrate.Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/CONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS AND RESOURCES MENTIONED IN THIS EPISODE:Books Mentioned AmazonGlucose ResearchPrefrontal Cortex ResearchMenstrual Cycle ResearchEnvironment ResearchPTSD ResearchEp 312: Why Your Energy is More Important Than Your Time Ep 249: Five Energizing Habits to Make You More Productive Ep 243: How Your Home Office Makes You More Productive Decluttering Playlist(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

격동500년 2026년 5월호! 아폴로 계획의 주역 폰 브라운, 전범인가 개척자인가? 그리고 스페인 황혼개기일식 여행 예약 시작!- 2026 스페인 황혼개기일식 여행 신청 관련 정보● 일정 - 기본팩 : 2026년 8월 8일(토) ~ 8월 14일(금) 5박 7일 - 확장팩 : 2026년 8월 8일(토) ~ 8월 16일(일) 7박 9일 ● 예약 신청 : 아래 링크로 신청 및 예약금(1인당 50만원) 입금https://forms.gle/9SCSjjkQ81Y64b6n9● 안내문https://docs.google.com/document/d/1xEB-mcfyyubMVoDGsVIvIqNKvHFFE6tc-CeqVjq9_dc/edit?usp=sharing1. 가정 환경과 어린 시절- 유복한 가정 환경과 학창 시절- SF 유행과 우주에 대한 관심- 로켓에 대한 경험과 아마추어로서 도전2. 로켓 개발- 대학 시절과 로켓 모임을 통한 개발- 독일 육군의 접근과 로켓 무기 연구- 나치 독일 성립과 V2 로켓 개발3. 미국 이주와 우주 로켓 개발- 2차 대전 말기의 단체 탈출- 미국 이주와 로켓 개발- 스푸트니크쇼크와 우주 로켓 개발 성공4. 달 탐사와 말년- 새턴 로켓 개발 제안과 추진- 달 탐사 성공과 화성 탐사 계획 제안- NASA 은퇴와 최후* 소설 같은 순간: 한국의 옛 로켓과학과사람들 제공

This episode reviews the eight cranial bones for board exam prep, focusing on their role in protecting the brain, the function of sutures as immovable joints for growth and strength, and the cushioning effect of cerebrospinal fluid. It highlights key bones and functions, including the frontal (decision-making), parietal (sensory processing), temporal (hearing, balance, memory), and occipital (vision, foramen magnum). The sphenoid is emphasized as a central hub with important trigeminal nerve pathways (V1, V2, V3), while the ethmoid is noted for its role in the nasal cavity and olfaction.  #1 dental hygiene boards review: 

M

MTNTOUGH coaches break down the brand new Preseason Prep 3.0 — our most intentional and battle-tested 16-week program ever for backcountry hunters and mountain athletes. Learn how the new hypertrophy → strength → strength endurance phases build serious resilience, smarter energy system training (V2 max, HIT, lactate threshold, zone 2), progressive pack work, and body armor days to keep you healthy. After a full year of testing, this is the program that turns good hunters into unstoppable ones. Get ready for longer, harder days in the mountains with better strength, durability, and mental toughness. Out now — don't miss it.Get started with Preseason Prep 3.0: https://lab.mtntough.com/programs/preseason-prep-3

Text your thoughts and questions!Have you ever reached the end of a day where you technically had enough time to do everything, but it still felt like you got nothing done? We talk a lot about time—how to track it, schedule it, and protect it—but time isn't the only variable in the productivity equation. Time management has a fundamental flaw: it treats all hours as equal, but they aren't. An hour of work at 9:00 AM when you are sharp and focused is completely different from that same hour at 3:00 PM when you are running on empty .This week, episode 312 of the Positively LivingⓇ Podcast is about energy management—the practice of paying attention to, protecting, and replenishing your energy so you can show up fully for what matters .In this episode of the Positively LivingⓇ Podcast, I share how to identify your natural rhythms and why managing your energy is the secret to sustainable productivity.Key Takeaways:Understand that a schedule cannot account for sleep, stress levels, or hormonal cycles, which dictate what you are actually capable of in any given hour.Pay attention when you start reading the same paragraph over and over; that is your clear signal that you lack the energy for the task at hand.Manage your capacity across four critical levels: physical, mental, emotional, and spiritual.Align your most demanding work with your daily "peak windows" and save low-stakes tasks for your natural dips in energy .Build in "buffer days" and recognize that your motivation in January will naturally look different than it does in July.Use curiosity instead of judgment to document when you feel most capable and when you feel drained throughout the day.Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Ep 215: Why You Need to Know Your Internal Productivity Rhythm Ep 119: Seasonal EnergyEp 160: Seasonal Planning with Erik FisherEp 245: Using Themes to Organize Your LifeEp 249: 5 Energizing Habits to Make You More Productive(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, Request this Toolkit and other free resources at the Resources Page.

Scoopy Trooples is the Founder of Alchemix.Many DeFi protocols from 2021 are gone. But Alchemix never quit.In this episode, Scoopy walks through the full Alchemix V3 redesign: how the new Mix-Yield Token (MYT) creates vaulted yields users can borrow against at 90% LTV, with zero interest, looping up to 10x, and how fixed-term redemptions unlock an entirely new yield primitive. Alchemix was the first protocol to use yield-bearing collateral for loans. V3 looks to be the long overdue evolution of the self-repaying loan, and we think this version can scale to be even bigger than V1.------

Freiburg feiert Schweizer Meistertitel von HC Fribourg-Gottéron, Bundesgericht klärt Art der Beziehung zweier Richter ab, am Tag der Arbeit nehmen Tausende an Kundgebungen teil, Haft von Aung San Suu Kyi in Hausarrest umgewandelt TS1930 260501 korrigert V2

Text your thoughts and questions!Last week, we focused on clearing the digital clutter through unsubscribing and archiving. Today, we move from the cleanup to the construction of a better system. Whether your inbox is currently chaotic or freshly cleared, the goal is to build a structure that handles community commitments, client needs, and family logistics without competing for your attention.This week, episode 311 of the Positively Living® Podcast is about how to organize your inbox so it stops being a source of stress and starts being a system for living well!In this episode of the Positively Living® Podcast, I share how to use filters, labels, and strategic forwarding to ensure your inbox supports your real life.Key Takeaways:Automate with Filters: Set up automated instructions to apply labels or archive emails based on specific criteria, such as the sender or subject line.Create Intuitive Folders: Build labels that match how you naturally search for information, whether by topic or by sender.Avoid Overcomplicating Categories: Use larger, intentional categories instead of creating a folder for every single thing to prevent a different form of overwhelm.Route Information Strategically: Use forwarding to keep collaborators in the loop or send action-oriented emails directly to a task manager like Todoist.Flag for Follow-Up: Utilize the starring feature as a lightweight way to curate a list of emails that require your attention later.Distinguish Archive from Delete: Archive for intentional preservation of items like contracts, while deleting anything that has served its purpose and is no longer needed.Define the Tool: Treat your inbox as a decision-making tool rather than a primary to-do list.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Ep 310: Easy Ways to Declutter Your Inbox Tech Tools Playlist Book a Clarity Call(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast withRequest this Toolkit and other free resources at the Resources Page.

Metabolic health is often simplified to a matter of blood sugar, but at its root, it is a complex system of energy substrate signaling. While many view chronic disease as an inevitable part of aging, a systems-thinking approach reveals that maintaining high "flux"—the capacity to efficiently move and clear energy through the body—is the primary lever for longevity. Without the stimulus of regular movement, even the most optimized diet can fail to prevent the accumulation of metabolic waste that leads to insulin resistance and heart disease.In this episode, we sit down with Greg Mushen, a technologist who turned his engineering mind toward his own biology after conventional medicine failed to address his chronic health issues. Mushen breaks down his "Theory of Flux" and why he believes the key to disease resistance lies in meeting our body's "clearance burden". From studying the activity levels of hunter-gatherer populations to debunking myths about walking and V2 max, Mushen provides a data-driven framework for optimizing health through the lens of evolutionary biology and systems engineering.Sign Up to Get Your Free Ultimate Guide to Glucose: ⁠⁠⁠⁠⁠⁠https://levels.link/wnl⁠⁠⁠⁠⁠In this episode, we cover:The Theory of Flux: Understanding health as the dynamic capacity to move nutrients and fuel through the system rather than a static set of markers.Insulin Resistance Reimagined: Why blood sugar is a symptom, not the root cause, and how fat accumulation in the liver and muscle disrupts signaling.The Power of PAL: Why a Physical Activity Level (PAL) of 2.0 is the "golden ratio" observed in disease-free subsistence populations.Walking vs. HIT: De-bunking the idea that you need high intensity to improve V2 max and why the "area under the curve" for oxygen consumption is what matters.The Saturated Fat Paradox: Comparing the Messiah and Chimané populations to understand how high activity levels can mitigate the risks of high-fat diets.Fiber as a Sensor: Why fiber is more than just "throughput" and acts as a critical environmental sensor for metabolic signaling.The "Walking Grifter" Philosophy: Why walking is the most under-leveraged tool for increasing metabolic flux with the lowest recovery cost.

Text your thoughts and questions!When you open your email, how do you feel? If you feel dread, overwhelm, or a low-grade anxiety that makes you want to close the tab immediately, you are not alone. We often focus on physical or mental clutter, but digital clutter is just as real and just as heavy. Your inbox is one of the biggest contributors to your digital mental load, often accumulating faster than you can handle.This week, episode 310 of the Positively LivingⓇ Podcast is about reducing the weight of your email and creating a system that functions the right way for you!In this episode of the Positively LivingⓇ Podcast, I share practical moves to clear out the digital noise and regain your focus without the pressure of achieving a perfect empty inbox.Key Takeaways:Digital clutter contributes to a heavy cognitive load and acts as a background hum of unfinished business that drains your energy.Use your email's built-in categories, like Gmail tabs, to automatically separate marketing emails from your primary correspondence.Unsubscribing is the most effective long-term move you can make; use the sidebar options or individual links to clear lists without hunting through tiny print.Work smarter by using the search bar to pull up specific categories like old receipts, confirmations, or newsletters to delete them all at once.If the backlog feels paralyzing, try the "fresh-start" approach by moving everything currently in your inbox into a dated "Old Inbox" archive folder.Remember that small, consistent action beats a perfect overhaul; pick one simple task today to start reducing the weight of your digital space.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Ep 244: How to Clear Your Digital ClutterEp 308: Declutter Your Calendar for Better Time Management(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyRequest this Toolkit and other free resources at the Resources Page.

On this episode of While My Batteries Charge RC Podcast we'll be looking at the new Universal Rocks crawling courses and the Axial CJ-7 V2

NEW CAR REGISTRATION FIGURES FOR MARCH 2026SMMT has revealed the new car registration figures for March 2026. Unsurprisingly, EVs have had their best month yet, in the UK. Unfortunately, the market share is far from the 33% required by the Government. Lots of people and organisations were erroneously using the term “sales” when we only have figures for registrations. The SMMT once again called on the Government to review the ZEV mandate targets, adding the Iran war and it's knock on effects to the usual, valid, points. Click this link here, from the SMMT, to read more.TATA RECEIVES MORE GOVERNMENT MONEYThe UK Government is investing £380 million in Tata's battery factory, being built near Bridgewater in Somerset. The company states that once opened it will employ 4,000 staff on site. The money is coming from the Automotive Transformation Fund. Additionally a Devon based battery recycling facility and low-emission brake manufacturer have also been awarded money from the fund. Click this Autocar link to find out more.STELLANTIS EUROPE TO STOP FIGHTING ITSELFGiles Vidal, who is the head of design for Stellantis, gave a frank interview with Autocar after he has spent a few months reacquainting himself with the brand following his time at Renault. His main point was that the group's brands will be making cars that are distinct from each other, despite the shared underpinnings and restrictions that brings. Music to the ears of us, here at the Motoring Podcast! To read more, click the link here.BYD TO INSTALL CHARGING NETWORKBYD will be installing 300 chargers with a maximum capacity of 1500kW, making them the fastest in the UK. BYD claims that this can enable five minute charging of of 10% to 70% for their new 123kWh battery. These sites will be open to all car brands and will be run under the name ‘Flash'. As ever though, what a charger is capable of and what the grid can provide are often two different things, in the UK. For more on this story, click this Autocar article link here.UK'S LARGEST EHGV CHARGING HUBFleete (no, that's not a spelling mistake), has opened the largest UK eHGV charging hub. Located at the Port of Tilbury , it has 16 ultra-rapid chargers enabling up to 16 eHGVs to charge at the same time. The company plans to open a 26 bay facility near Birmingham too. Click this EV Powered article link here to read more.On Thursday 23 April at 20:00 BST, we will be going live with a Q&A on our YouTube channel. We need your help though, send us your automotive and motoring related question you would like to hear us answer. To send one in use our Contact Page, linked to here, and put “Q&A” in the Subject Line so it does not get lost in all the spam.NEW NEW CAR NEWS -Honda Super-NHonda has revealed a small EV, with up to 199 miles range and a price starting under £20,000 which will be coming to the UK this summer. Their previous foray into the small EV market was the Honda-E that was expensive for what it offered, although did look great. The Super-N seems to have addressed that, nearly 200 miles range for under £20,000 sounds great, hopefully real world use backs that up. Click this Motoring Research article link here, for more.Cupra RavalCupra has unveiled their Renault 5 rival, the Raval. Starting price for the Core trim, will be just under £23,000, whilst offering around 185 maximum range. Moving up through the specs increases the prices and capabilities as the V1 and V2 levels can be fitted with a 52kWh battery enabling up to 280 miles maximum range. Top of the range aims to take on the Alpine A290, with an approximately £37,000 price tag and a drop in range to around 250 miles. Click this Autocar article link, for more.Mitsubishi Outlander PHEVAs we stated a few weeks ago, Mitsubishi is bringing back the Outlander PHEV when they return to the UK market. The price will start at £46,995, but full technical specs are yet to be released. Information that EV Powered has managed to gleam includes an expected EV-only range around 53 miles, with an overall of about 500 miles. Does it bring anything new enough to the market to attract buyer? Time will tell. Click this EV Powered link, for more.LUNCHTIME READ: ESTATE OF THE MARKETS.V. Robinson, on Driven to Write, discusses affordable estate cars or the lack of them, more to the point. As he owns one himself he explains how he keeps an eye out, essentially for what he might replace his Octavia with. Pickings are thing. Click this link to read through his thoughts on what is out there now and also to become a little sad at the state of the market.LIST OF THE WEEK: PERFORMANCE VS PRACTICALITYTom Ford has compiled another special list for Top Gear, that we are recommending to you. Often we are shown concepts that are either all about the performance or practicality. Very rarely does these cross over. Click the link here to see what your options are.AND FINALLY: THE FUTURE FROM BACK IN 1982Antony Ingram, writing for Hagerty, explains all about the fascinating British Leyland ECV 3, which was an experimental design that incorporates a lot of what we expect in cars today, but were very futuristic in 1982. Click this link to find out more and learn a little about British Leyland and innovation.

SpaceX just hit the brakes. Flight 12, the first launch of the Starship V3, is officially pushed to May. While Elon claims it is a 4 to 6 week tweak, there is more going on with the V3 hardware than just a schedule shift. We are breaking down the specific bottlenecks holding up the most powerful rocket ever built.The Raptor 3 Risk: The new shroudless engines are supposed to be more efficient, but rumors of cooling issues during static fires are heating up.The Stretch Problem: V3 is significantly taller than its predecessors. We look at whether the structural welds can actually handle the increased propellant mass.Heat Shield 3.0: After the near-misses of Flight 11, did SpaceX finally solve the tile-loss issue, or is that what is causing the May delay?The $2 Trillion Pressure: With the SpaceX IPO rumors swirling, a failure on the maiden V3 flight is not an option. Is this a technical delay or a strategic one?The transition from V2 to V3 is the biggest hardware jump in Starship history. If they do not get this right in May, the entire moon manifest slides. Listen to find out what is actually happening at Starbase.

Text your thoughts and questions!We've been conditioned to think that more time equals more output. This might make sense on the surface, but in reality, this burnout-inducing approach degrades your performance and increases your stress rather than improving your results. This week, episode 307 of the Positively LivingⓇ Podcast is about why work sprints are better than marathons!In this episode of the Positively LivingⓇ Podcast, I'm sharing a work sprint method that allows you to stop working against your neurology and start producing higher-quality work in less time. Key Takeaways:Science shows that working in focused, fully committed bursts followed by deliberate recovery periods improves concentration, decision-making, and the overall quality of your output.Just like in HIIT fitness, recovery in productivity isn't a "reward" you haven't earned. By adopting "structured sprints" based on Agile methodology, you prioritize efficiency and continuous improvement over rigid, undefined work periods.The Pomodoro Technique is a simple way to start sprinting. Work for 25 minutes with full focus, followed by a 5-minute break, to train your brain to expect both focus and rest.Identify your natural "window of peak cognitive performance" during the day and protect that time specifically for your high-intensity work sprints.The secret to sustainable productivity isn't finding more hours in the day; it's honoring the energy you have within those hours. My invitation to you today is simple: Pick one task, set one timer, and try just one sprint. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 215: Why You Need to Know Your Internal Productivity RhythmEp 271: How to Stop Avoiding TasksDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

Stani Kulechov joins The Rollup live from DeFi Day to reflect on the V4 announcement & break down the hub-and-spoke architecture, how Aave is positioning for RWAs and tokenized equities, the Whop integration bringing 21 million fintech users into DeFi, his vision for abundance, and more.Stani Kulechov is the founder of Aave, one of the largest and most resilient DeFi lending protocols in the world. He has been building at the forefront of DeFi since 2017 and is a leading voice on the future of onchain credit, stablecoins, and real-world assets onchain.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro00:14 V4 Launch Reaction01:03 Risk Architecture Explained03:05 Hub & Spoke Liquidity Model04:50 Three Risk Tiers Breakdown05:44 Bootstrapping New Use Cases06:59 Aave V4 vs. V2 & V308:35 Institutional Capital Coming Onchain12:23 RWA Pools & Collateral Strategy13:04 GHO's Role in Credit Markets14:53 Quarterly Call Highlights16:59 Whop Integration Breakdown17:39 Aave App & Consumer Abstraction19:56 Chainlink SVR Announcement21:01 What Aave Users Need To Know23:19 Permissioned vs. Permissionless25:19 Future of Public Chain RWAs26:16 Who Wins the Tokenization Race?Website: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbiek__Follow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://goodidea.ventures

Text your thoughts and questions!Traditional planning advice doesn't take real life into consideration. It assumes we have endless energy, zero interruptions, and the motivation to do it all. When we follow this advice, the act of planning itself becomes a source of stress rather than a solution, making it feel like we're up against a mountain we can't climb. That's why this week, on episode 306 of the Positively LivingⓇ Podcast, I'm tossing aside the “hustle harder” productivity idea and introducing a burnout-proof alternative so you can plan a day that works for you. In this episode of the Positively LivingⓇ Podcast, I'm introducing the Minimum Effective Day (MED) approach to planning so you can do less with intention, focus on what's truly essential, and create a more sustainable and effective daily rhythm. Key Takeaways:Strip away your aspirational tasks and identify your three “must-dos” for the day.Treat basic needs (hydration, movement, rest, etc.) as critical elements of your plan, rather than luxuries.Plan for a moment of joy or relief to embrace your humanity.Anchor your day with one protected block of time to protect your day's center of gravity.Interrupt the cycle of self-criticism by defining what “enough” looks like and allowing yourself the grace to end the day without finishing everything.Remember, you are a person, not a productivity machine. You can find the Minimum Effective Day mini-training at positivelyproductive.com/resourcesThank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

Check out this encore show from March 26, 2025 Father John Paul Erickson joins Patrick to discuss Spiritual Movies (4:06) what are the dangers of movies the spiritual life Father shares a movie which he really enjoys (13:52) Sean - The Adventures of Robinhood from 1938. It's a very Catholic movie. Had a good impression on my life. Saw it when I was 6. Greg – Nefarious outstanding movie. Certain groups played it off as a horror film. It's good vs. evil. Some have avoided it because it deals with evil. The guy who did it also did God is Not Dead. One priest said every priest should see it for giving advice for confession. Mark - Calvary...Irish Film. 10 years old. About a priest who really lays down life for his flock. (22:47) Break 1 John - Of Gods and Men...French film. About monks serving souls in north Africa. Based on a true story. Barb - The Shack...about what it's like to be God and sacrifice your son. It shows God sacrificed his son as this guy sacrificed his daughter. Bring your tissues. (29:50) Nels - The Last Supper....newly released film. Emphasis on Judas in that movie. Miriam - 7th Heaven...1930's. Star5ring Jimmy Stewart. Unlikely love story ever told. Mention of God in the movie. He's an atheist and then things happen. My favorite movie. (35:43) Break 2 Roland - Journey to Bethlehem....nativity story. Silence...the story of the Japanese Martyrs. Ignition Martyrs (39:16) Matt - Beckett, and the Cardinal. Excommunication scene in Beckett is most powerful scene. The Cardinal being more recent. Pope Benedict was advisor for this movie. Came out when V2 was written. Patrick shares some movie recommendation from listeners who write in. Roxanne - The Most Reluctant Convert...untold story of CS Lewis. Very good. (43:02) Jean - King of Kings...1925. It's a silent movie and beautiful. Eric - The Scarlet and the Black. Based off the Scarlet Pimpernel. Hides thousands of Jews during WWII. I think it's a must see. Resources - Spiritual Movies: Babette’s Feast (1987) The Adventures of Robin Hood (1938) Nefarious (2023) Calvary (Irish film) (2014) Of Gods and Men (2010) The Mission (1986) Arrival (2016) The Blue Kite (Chinese) (1993) The Shack (2017) The Last Supper (2025) The Chosen (series) (2017 – present) Seventh Heaven (1937) A Hidden Life (2019) A Man for All Seasons (1966) All That Remains: Dr. Takashi Nagai (2016) Journey to Bethlehem (Christmas) ( Nativity Story (Christmas) Silence (2023) Exodus: Gods and Kings (2014) The Ten Commandments (1956) Ben Hur (1959) The Robe (1953) Becket (1964) The Cardinal (1963) Gattaca (1997) The Most Reluctant Convert: the Untold Story of C.S. Lewis (2021) The King of Kings (1927) The Scarlet and the Black (1983) The Sound of Metal (2019) Life is Beautiful (1997) The Bells of St. Mary’s (1945) The Lord of the Rings (2001-03) Groundhog Day (1993) A River Runs Through It (1992)

Text your thoughts and questions!Does this sound familiar? You start a new routine with the best of intentions, only to have it vanish the moment your schedule shifts or your energy drops. So many of us struggle with habit failure, often blaming a lack of discipline or willpower. I am here to tell you that's not always the case, and there is something you can do about it! This week, episode 305 of the Positively LivingⓇ Podcast is about building habits you can keep. In this episode of the Positively LivingⓇ Podcast, I explore why many productivity systems fail (they are built for ideal conditions rather than the reality of actual life) and give you actionable advice to start building personalized habits that actually stick. Key Takeaways: Instead of building habits for your best days, create versions that fit your typical energy levels; consistency matters far more than intensity. Habits feel like constant resistance if they conflict with who you are; your routines should reflect your unique nature and deep-seated "why".Life is constantly fluctuating; give yourself permission to adjust your habits rather than abandoning them entirely.By removing obstacles in your environment and making the "start" of a habit as easy as possible, you dramatically increase your chances of following through.Which habit in your life currently feels like a struggle? Ask yourself: "Does this habit fit the life I'm actually living right now, or does it only fit the 'ideal' version?" I encourage you to pick one habit this week and shrink it down until it feels "too easy" to fail.  That's where you need to start to succeed!Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Habits Podcast PlaylistDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

Text your thoughts and questions!Journaling is often framed as a tool for reflection, emotional processing, or deep introspection. And while these approaches can be incredibly valuable, they're not the only way that journaling can support you. Journaling can also function as a decision-making and clarity tool, especially when your brain feels noisy, conflicted, or mentally stuck. This week, episode 304 of the Positively LivingⓇ Podcast is about how to use journaling to help you move forward!In this episode of the Positively LivingⓇ Podcast, I'm exploring how you can use journaling as a practical tool to take action so that you can turn your mental noise into visible, actionable information that helps you start doing. I cover the following topics:How moving thoughts from your working memory to a visual surface reduces cognitive load and creates immediate mental relief. Why high-speed practical journaling is often more effective for forward momentum than traditional, deep reflective writing. Using the mind sweep technique to clear out general mind clutter before attempting to use journaling for complex problem solving. A series of specific journal prompts designed to bypass your inner critic and identify the smallest, most workable step forward. Clarity doesn't come from thinking harder; it comes from getting your thoughts out of your head so you can process them. Your journal is the bridge between being overwhelmed and being in motion.For the resources mentioned, head to positivelyproductive.com/resources. And if you're interested in a coaching session with me, you can find more details at positivelyproductive.com/coaching. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 303: How Action Gives Us ClarityDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

Dr. Beckett hosts a conversation with Josh Luber about Luber's long “BlindBoxification” white paper (136 pages) and the broader trend of blind-box style products in sports cards and beyond. Luber discusses the paper as a conversation-starter and potentially a living document, with ideas for a V2, a book-form revision, or a limited podcast series; he also shares research learnings from other industries, including examples like brands attempting blind boxes and the problems it created. They  reference Blaise Pascal's quote about the pleasure of the hunt and ties it to collecting and uncertainty, then challenges and expands Luber's “hits vs filler” framework into four categories: truly collectible cards (TCCs) not meant to be sold, hits meant to be sold as currency, filler with attributes, and low-value “zeroes,” with discussion of when grading matters across those categories. They debate older collectors and set-building, with Beckett pushing back on calling it an “impossible dream” for vintage set completion while agreeing modern products like 2023 Prizm make traditional set collecting impossible and may accelerate the end of sets. They also explore digital repacks and expected value, transparency, buybacks, and why repack models are spreading because anyone can build them without owning rights. Beckett raises concerns that if repack buyback transactions become tracked by pricing tools, repeated circulation could create a downward pricing spiral, and the episode ends with both acknowledging how buyback percentages could lead to a “race to the bottom.”   00:50 Why Blindboxification Matters 01:38 A Living Document and V2 Plans 03:31 Pascal and the Thrill of the Hunt 05:05 Hits, Filler, and Four Categories 09:00 Set Building and Grumpy Collectors 11:26 Digital Repacks and Expected Value 13:09 Hybrid Repacks and Industry Moves 14:12 Transparency and the Race Down  

Text your thoughts and questions!If you're an overthinker and overanalyzer like me, you already know how difficult taking action can be. You also know the frustrating feeling of not taking action because you simply cannot decide what to do. But here's the twist. Sometimes you have to pull an Uno Reverse card on your brain because sometimes, it's the action itself that brings the clarity you were trying to find. This week, episode 303 of the Positively LivingⓇ Podcast is about how action gives us clarity!In this episode of the Positively LivingⓇ Podcast, I'm sharing why your brain gets stuck in analysis paralysis and how you can break the loop of overthinking to move forward and gain clarity along the way. Key takeaways:Feeling stuck is often a result of your brain not having enough data to make a decision; taking a small step can provide the feedback your brain needs to resolve uncertainty. Analysis paralysis is often driven by perfectionism, and recognizing this as the barrier it is allows you to prioritize action over a flawless (but non-existent) plan.We are taught that clarity must precede action, but often, it is the action itself that creates the clarity you've been searching for.Clarity isn't always something you find; sometimes, it's something you create through movement. I encourage you to find the one "smallest safe step" you can take today to move past a decision that has you stuck.If you need help quieting the mental noise before you dive into action, check out the Guided Mind Sweep on the resources page at positivelyproductive.com/resources. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!If you have ever felt like you should be treating yourself better but have no idea where to start, or maybe the idea of being nice to yourself feels strange, you're not alone. Many of us struggle with a harsh internal monologue, feeling isolated in our stress or trapped by rigid societal expectations. That's why, in this episode of the Positively LivingⓇ Podcast, I am sharing five simple ways to treat yourself better!In this episode of the Positively LivingⓇ Podcast, I show you how you can move from the theory of self-compassion to practical, daily application, reducing shame along the way.The five tips I cover in this episode include: Audit your internal monologue by first noticing how you speak to yourself in times of stress.Practice needs-based self-compassion, understanding it as an indulgence. Listen to your body's signals of depletion and take them as a sign to regulate your nervous system. Embrace common experiences, reminding yourself that you're not alone in how you feel.Utilize permission statements, allowing yourself to show up imperfect, change your mind, or set limits. Self-compassion isn't built through grand gestures; it's built through small moments of noticing and recalibrating. This week, don't try to master all five techniques. Instead, choose one single practice, try it for a few days and see what unfolds.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 301: Why Self-Compassion Matters More Than You ThinkDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!So many of us are quick to say things like, “I need to be kinder to myself,” and I think we truly believe that. But the minute we fail to get something done, lose track of time, or struggle, our inner voice turns harsh. For us high achievers, especially, this is an unfortunate natural reaction. The problem is that we don't realize how much that critical inner voice is costing us. This week, episode 301 of the Positively LivingⓇ Podcast is about why self-compassion matters more than you think!In this episode of the Positively LivingⓇ Podcast, I'm diving into why the “try harder” mentality often backfires, and I give you actionable steps to take right now to practice self-compassion as the necessary foundation for true productivity and emotional regulation. Key takeaways:Self-compassion isn't a vague feeling; it's a system of self-kindness, common humanity, and mindfulness. While self-awareness is the ultimate productivity tool, self-compassion is the environment that makes those tools work. Your brain interprets self-criticism as a threat, triggering increased cortisol and bodily tension. In contrast, self-compassion helps regulate your nervous system. Self-compassion is not about lowering your standards but about being honest without being cruel, making it more likely that you'll take responsibility and repair mistakes.Self-compassion is a skill that can be practiced and developed over time, even if it feels unnatural at first.Self-compassion isn't about being nice to yourself when things are going perfectly; it's about how you respond in the moments you lose momentum or fail to meet the plan. This week, try to simply notice your inner dialogue without trying to fix it. Awareness without judgment is your first step toward a more resilient life.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 189: Why Compassion is Essential to Be More ProductiveDance Song Playlist V1, V2, V3MusicRequest this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!Productivity is best when it's shame-free and done in a way that honors your life. That is the message I started this podcast with, and it remains true 300 episodes later. Yes, you read that right. Today we're celebrating 300 episodes of the Positively LivingⓇ Podcast. And joining me to commemorate this landmark episode is my friend and podcast producer, Alesia Galati, as we flip the script and she interviews me. In our conversation, we reflect on my journey of podcasting and how listeners can make the Positively LivingⓇ Podcast work for their lives. Alesia and I cover the following topics:Expressing gratitude for the achievements this podcast has hit. Reflecting on the impact of this podcast through listener reviews. Taking a look at how this podcast has evolved and where it's headed in the future. How to use this podcast as a tool for productivity (without the overwhelm).Five things you may not know about me. As we celebrate 300 episodes–and 10 years of Positively Productive Systems, the business behind the podcast–I want to thank you, because you are what makes this possible. Whether you've been here from the start or just started listening, your support means the world to me. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)For more episodes and playlists, visit the podcast page of my website!Ep 299: 10 Lessons to Celebrate 10 Years of Positive ProductivityDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Thursday, February 5, 2026 - Week 6 Happy #RareDisease & #BlackHistory Month!   #NaturalHistory means how this disease progresses.  Reminder: We have only been at this for 17 years, first patients were identified via Hamdan, 2009. https://pubmed.ncbi.nlm.nih.gov/19196676/   Retrospective Digital NHS: cureSYNGAP1.org/Citizen (Growing list of tools available to families, for free)   Prospective Multi-disciplinary Multi-site NHS: ProMMiS cureSYNGAP1.org/ProMMiS   Reminder, only possible by CS1 support for non-CHOP sites and travel plus huge gift to Penn. https://www.chop.edu/news/25-million-gift-penn-medicine-and-children-s-hospital-philadelphia-establishes-center-epilepsy   Potential for being a control arm in the future.   Protocol: https://www.linkedin.com/posts/curesyngap1_syngap1-stxbp1-dee-activity-7425223573134327808-SVEQ & early data: https://pubmed.ncbi.nlm.nih.gov/40119723/   Join the ~160 families who have enjoyed excellent clinical care and contributed tot he future of SYNGAP1.  Today, a 4 month old is going! CHOP: 119 new, V2- 67, V3- 32, V4- 10, V5- 4 CHCO: 37 new, V2- 7 Stanford: 8 new, V2- 2 Total: 164 (double counting one family who goes to multiple sites)   Survey English: https://curesyngap1.org/SurveyProMMiS Spanish: https://curesyngap1.org/encuestaProMMiS   94 Responses to survey, so far: Why not? Did not receive an invitation, Too far to travel, Too expensive Barriers: Logistics, Cost, Time off, Behaviors, Insurance   ETC. Pubmed 2026 is at 6!  But will soon be 7 with the McKee paper! https://pubmed.ncbi.nlm.nih.gov/?term=syngap1&filter=years.2026-2026&sort=date   Biorepository needs more samples.  Check out the list and map here https://docs.google.com/presentation/d/1IjaHILXj7AlBDlbTJgvYrkBS_0bnI8VCnTIiPXJ7JGM/edit?usp=sharing and contribute blood.  The data and research we do with these samples is invaluable.   May 28, San Francisco, CA: cureSYNGAP1.org/SF26   SOCIAL MATTERS 4,668 LinkedIn.  https://www.linkedin.com/company/curesyngap1/ 1,520 YouTube.  https://www.youtube.com/@CureSYNGAP1 11.2k Twitter https://twitter.com/cureSYNGAP1 45k Insta https://www.instagram.com/curesyngap1/   $CAMP stock is at $3.59 on 5 Feb. ‘26 https://www.google.com/finance/beta/quote/CAMP:NASDAQ   Like and subscribe to this podcast wherever you listen.  https://curesyngap1.org/podcasts/syngap10/ Episode 198 of #Syngap10 #CureSYNGAP1 #Podcast

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss autonomous AI agents and the mindset shift required for total automation. You’ll learn the risks of experimental autonomous systems and how to protect your data. You’ll discover ways to connect AI to your calendar and task managers for better scheduling. You’ll build a mindset that turns repetitive tasks into permanent automated systems. You’ll prepare your current workflows for the next generation of digital personal assistants. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-openclaw-moltbot-teaches-us-about-ai-future.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn [00:00]: In this week’s In Ear Insights, let’s talk about autonomous AI. The talk of the town for the last week or so has been the open source project first named Claudebot, spelled C L A W D. Anthropic’s lawyers paid them a visit and said please don’t do that. So they changed it to Maltbot and then no one could remember that. And so they have changed it finally now to Open Claw. Their mascot is still a lobster. This is in a condensed version, a fully autonomous AI system that you install on a. Christopher S. Penn [00:35]: Please, if you’re thinking about on a completely self contained computer that is not on your main production network because it is made of security vulnerabilities, but it interfaces with a bunch of tools and hasn’t connected to the AI model of your choice to allow you to basically text via WhatsApp or Telegram with an agent and have it go off and do things. And the the pitch is a couple things. One, it has a lot of autonomy so it can just go off and do things. There were some disasters when it first came out where somebody let it loose on their production work computer and immediately started buying courses for them. We did not see a bump in the Trust Insights courses, so that’s unfortunate. But the idea being it’s supposed to function like a true personal assistant. Christopher S. Penn [01:33]: You just text it and say hey, make me an appointment with Katie for lunch today at noon PM at this restaurant and it will go off and figure out how to do those things and then go off and do them. And for the most part it is very successful. The latest thing is people have been just setting it loose. They a bunch of folks created some plugins for it that allow it to have its own social network called Mult Book, where which is a sort of a Reddit clone where hundreds of thousands of people’s open Claw systems are having conversations with each other that look a lot like Reddit and some very amusing writing there. Christopher S. Penn [02:12]: Before I go any further Katie, your initial impressions about a fully autonomous personal AI that may or may not just go off and do things on its own that you didn’t approve? Katie Robbert [02:24]: Hard pass period. No, and thank you for the background information. So I, you know, as I mentioned to you, Chris Offline, I don’t really know a lot about this. I know it’s a newer thing, but it’s like picked up speed pretty quickly. I thought people were trying to be edgy by spelling it incorrectly in terms of it being part of Claude, but now understanding that Claude stepped in and was like heck no. That explains the name because I was very confused by that. I was like, okay, you know, I, I think a lot of us have always wanted some sort of an admin or personal assistant for paperwork or, you know, making appointments and stuff. Like, so I can definitely see the potential. Katie Robbert [03:10]: But it sounds like there’s a lot of things that need to be worked out with the technology in terms of security, in terms of guardrails. So let’s say I am your average, everyday operations person. I’m drowning in the weeds of admin and everything, and I see this as a glimmer of hope. And I’m like, ooh, maybe this is the thing. I don’t know a lot about it. What do I need to consider? What are some questions I should be asking before I go ahead and let this quote unquote, autonomous bot take over my life and possibly screw things up? Christopher S. Penn [03:54]: Number one, don’t use this at work. Don’t use this for anything important. Run this on a computer that you are totally okay with just burning down to the ground and reformatting later. There are a number of services like Cloudflare, with Cloudflare’s workers and Hetzner and a bunch of other companies that have, they very quickly, very smartly rolled out very inexpensive plans where you can set up a open clause server on their infrastructure that is self contained and that at any point you just, you can just hit the self destruct button. Katie Robbert [04:27]: Well, and I want to acknowledge that because you said, you know, you started by saying, like, any computer, I don’t know a lot of people besides yourself and other handful who have extra computers lying around. You know, it’s not something that the average, you know, professional has. You know, some of us are using, you know, laptops that we get from the company that we work for and if we ever leave that job, we have to give that computer back. And so we don’t have a personal computer. Speaker 3 [04:59]: So it’s number one. Katie Robbert [05:01]: It’s good to know that there are options. So you said Cloudflare, you said, who else? Christopher S. Penn [05:06]: Hetzner, which is a German company, basically, anybody that can rent you a server that you can use for this type of system. What the important thing here is not this particular technology, because the creator has said, I made this for myself as kind of a gimmick. I did not intend for people to be deploying clusters of these and turning into a product and trying to sell it to people. He’s like, that’s not what it’s for. And he’s like, I intentionally did not put in things like security because I didn’t want to bother. It was a fun little side project. But the thing that folks should be looking at is the idea. The idea of. We’ve done some episodes recently on the Trust Insights livestream about Claude Code and Claude Cowork, which Cowork, by the way, just got plugins. Christopher S. Penn [05:58]: So all those skills and things, that’s for another time, but when you start looking at how we use things like Claude code. This morning when I got into the office, I fired up Claude Code, opened it in my Asana folder and said, give me my daily briefing. What’s going on? It listed all these things and I immediately just turn on my voice memo thing. I said, this is done. Let’s move this due date, this is done. And it went off and it did those things for me. Someone who hated using project management software like this now, I love it. And I was like, okay, great, I can just tell it what to do. And it does. And I actually looked. I opened up an asana looked, and it not only created the tasks, but it put in details and descriptions and stuff like that. Christopher S. Penn [06:44]: And it now also prompts me, hey, how much time do you think this will take? I’ll put that in there too. I’m like, this is great. I don’t have to do anything other than talk to it. Something like openclaw is the next evolution of a thing like Claude Code or Open or Claude Coerc, where now it’s a system that has connection to multiple systems, where it just starts acting like a personal assistant. I’m sure if I wanted to invest the time, and I probably will, I’m going to make a Python connector to my Google Calendar so that I can say in my Asana folder, hey, now that you’ve got my task list for this week, start blocking time for tasks. Christopher S. Penn [07:26]: Fill up my calendar with all the available slots with work so that I can get as much done as possible, which will make me more productive at a personal level. When people see systems like OpenClaw out there, they should be thinking, okay, that particular version, not a good idea. But we should be thinking about how will our work look when we have a little cloud bot somewhere that we can talk to, like a PA and say, fill up my calendar with the important stuff this week. Speaker 3 [07:58]: Right? Christopher S. Penn [07:59]: Yeah, because you’ve connected it to your son, you’ve connected your Google Calendar, you’ve connected to your HubSpot. You could say to it, hey, as CEO, you could say, hey, open agent, fill Up. Go look in HubSpot at the top 20 deals that we need to be working on and fill up John’s calendar with exact times that he should be calling those people. Right. Katie Robbert [08:24]: I’m sorry, in advance. I’m gonna do that. Christopher S. Penn [08:27]: He’s been saying, hey, it looks like Chris has gotten some time on Friday open agent. Go and look in Chris’s asana and fill up his day. Make sure that he’s getting the most important things done. That as a manager, you know, with permission, obviously is where this technology should be going so that you could, like, this is the vision. You could be running the company from your phone just by having conversations with the assistant. You know, you’re out walking Georgia and you’re like, oh, I forgot these three things and I need to do lunch here and I do this. Go, go take care of it. And like a real human assistant, it just does those things and comes back and says, here’s what I did for you. Katie Robbert [09:10]: Couple questions. One, you know, I hear you when you’re saying this is how we should be thinking about it. You are someone who has more knowledge than the most of us about what these systems can and can’t do. So how does someone who isn’t you start thinking about those things? Let’s just start with that question. You know, and I know that this, know I always come back to. I remember you wrote this series when we worked at the agency and it was for IBM. So you know, for those who don’t know, Chris is a, what, eight year running IBM champion. Congratulations on that. That is, I mean that’s a big deal. Katie Robbert [09:56]: But it was the citizen analyst post series that always stuck with me because I always, I’d never heard that terminology, but it was less about what you called it and more about the thinking behind it. And I think we’re almost, I would argue that we’re due for another citizen analyst, like series of posts from you, Chris, like, how do we get to thinking about this the way that you’re thinking about it or the way that somebody could be looking at it and you know, to borrow the term the art of the possible, like, how does someone get from. There’s a software, I’ve been told it does stuff, but I shouldn’t use it. Okay, I’m going to move on with my day. Katie Robbert [10:41]: Like, how does someone get from that to, okay, let me actually step back and look at it and think about the potential and see what I do have and start to cobble things together. You know, I feel like it’s maybe the difference between someone who can cook with a recipe and someone who can cook just by looking inside their pantry. Christopher S. Penn [11:01]: I, the cooking analogy is a great one. I would definitely go there because you have to know when you walk into the kitchen what’s in here, what are the appliances, what do we have for ingredients, how do those ingredients go together? Like for example chocolate and oatmeal generally don’t go well together. At least not as a main. It’s kind of like when you look at the 5PS platform we always say this in most situations do not start with the technology, right? That’s, that’s a recipe usually for not things not going well. But part of it is what’s implicit in platform is that you know what the platforms do, that you know what you have. Because if you don’t know what you have and you don’t know how to use them, which is process, then you’re not going to be as effective. Christopher S. Penn [11:46]: And so you do have to take some time to understand what’s in each of the five P’s so that you can make this happen. So in the case of something like an open claw or even actually let’s go, let’s take a step back. If you are a non technical user and you’re, let’s say you decide I’m going to open up Claude Cowork and try and make a go of this, the first question I would ask is well what things can it connect to? That’s an important mindset shift is what can I connect this to? Because we’ve all had the experience where we’re working like a chat GPT or whatever and it does stuff and it’s like fun and then like well now I got go be the copy paste monkey and put this in other systems. Christopher S. Penn [12:29]: When you start looking at agentic AI that where do I have to copy paste? This should be a shorter and shorter list every day as companies start adding more connectors. So when you go to Claude Cowork you see Google Drive, Google Calendar, fireflies, Asana, HubSpot, etc. And that’s your first step is go what does it connect to? And then you take a look at your own process in the 5ps and go of those systems. What do I do? Oh I every Monday I look in HubSpot and then I look in Google Analytics and then I look here and look here and go well if I wrote down that process as a standard operating procedure and I handed that sop as a document to Claude in cowork. I could literally asking, hey, how much of this could you do for me? Christopher S. Penn [13:21]: And just tell me what to look at. So first you got to know what’s possible. Second, you got to know your process. Third, you have to ask the machine can how much of this can you do? And then you have to think about and this is the important question, what, Given all this stuff that you have access to, what could you do that. I am not thinking about that. I’m not doing that. I should be. The biggest problem we have as humans is we do not. We are terrible at white space. We are terrible at knowing what’s not there. We. We look at something we understand, okay, this is what this thing does. We never think, well, what else could it do that I don’t know? This is where AI is really smart because it’s been trained on all the data. Christopher S. Penn [14:09]: It goes well, other people also use it for this. Other people do this. Or it’s capable of doing this. Like, hey, you’re asana. Because it contains a rudimentary document management system, could contain recipes. You could use it as a recipe book. Like you shouldn’t, but you could. And so those are kind of the mindset things. And the last one I’ll add to that. There’s something that I know, Katie, you and I have been talking about as we sort of try and build a. A co AI person as well as a co CEO to sort of the mirror the principles of trust. Insights is one of the first things that I think about every single time I try to solve a problem is this a problem that can solve with an algorithm? This is something that I Learned from Google 15 years ago. Christopher S. Penn [14:56]: Google in their employee onboarding says we favor algorithmic thinkers. Someone who doesn’t say, I’m going to solve this problem. Somebody who thinks, how can I write an algorithm that will solve this problem forever and make it go away and make it never come back? Which is a different way of thinking. Katie Robbert [15:14]: That’s really interesting. Speaker 3 [15:17]: Huh? Katie Robbert [15:18]: I like that. And I feel like. I feel like offline. I’m just going to sort of like. Speaker 3 [15:23]: Make that note for us. Katie Robbert [15:24]: I want to explore that a little bit more because I really, I think that’s a really interesting point. Speaker 3 [15:31]: And. Katie Robbert [15:31]: It does explain a lot around your approach to looking at this. These machines, as you’re describing, sort of the people are bad with the white space. It reminds me of the case study that was my favorite when I was in grad school. And it was a company that at The Time was based in Boston. I honestly haven’t kept up with them anymore. But it was a company called Ideo and ido. One of the things that they did really well was they did basically user experience. But what they did was they didn’t just say, here’s a thing, use it. Let us learn how you’re using the thing. They actually went outside and it wasn’t the here’s a thing, use it. It’s let us just observe what people are doing and what problems they’re having with everyday tasks and where they’re getting stuck in the process. Katie Robbert [16:28]: I remember this is just a side note, a little bit of a rant. I brought this case study to my then leadership team as a way to think differently about how, you know, because were sort of stuck in our sales pipeline and sales were zero and blah, blah. And I got laughed out of the room because that’s not how we do it. This is how we do it. And, you know, I felt very ashamed to have tried something different. And it sort of was like, okay, well that’s not useful. But now fast forward jokes on them. That’s exactly how you need to be thinking about it. Katie Robbert [17:03]: So it just, it strikes me that we don’t necessarily, yes, we need to understand the software, but in terms of our own awareness as humans, it might be helpful to sort of maybe isolate certain parts of your day to say, I am going to be very aware and present in this moment when I’m doing this particular task to see. Speaker 3 [17:31]: Where am I getting stuck, where am. Katie Robbert [17:32]: I getting caught up, where am I getting distracted and then coming back to it? And so I think that’s something we can all do. And it sounds like, oh, that’s so much extra work, I just want to get it done. Well, guess what? Speaker 3 [17:45]: Those tasks that you’re just trying to. Katie Robbert [17:47]: Survive and get through, they are likely the ones that are best candidates for AI. So if we think back to our other framework, the TRIPS framework, which is. Speaker 3 [17:57]: In this list somewhere, here it is. Katie Robbert [18:01]: Found it. Trust, insights, AI trips, time, repetitiveness, importance, pain, and sufficient data. And so if it’s something that you’re doing all the time, you’re just trying to get through, may be a good candidate for AI. You may just not be aware that it’s something that AI can do. And so, Chris, to your point, it could be as straightforward as. All right, I just finished this report. Let me go ahead and just record voice, memo my thoughts about how I did it, how it goes, how often I do it, give it to even something like a Gemini chat and say, hey, I do this process, you know, three times a week. Is this something AI could do for me? Ask me some questions about it and maybe even parts of it could be automated. Katie Robbert [18:50]: Like that to me is something that should be accessible to most of us. You don’t have to be, you know, a high performing engineer or data scientist or you know, an AI thought leader to do that kind of an exercise. Christopher S. Penn [19:07]: A lot of, a lot of the issues that people have with making AI productive for them almost kind of reminds me of waterfall versus agile in the sense of, hey, I need to do this thing. And you know, this is this massive big project and you start digging like, I give up, I can’t do it. As opposed to a more bottom up approach, you go, okay, I do this as possible. What if I can automate just this part? What if I can automate just this part? What if I can do this? And then what you find over time is that then you start going, well, what if I glue these parts together? And then eventually you end up with a system. Now that gets you to V1 of like, hey, this is this janky cobbled together system of the way that I do things. Christopher S. Penn [19:47]: For example, on my YouTube videos that I make myself personally, I got tired of putting just basically changing the text in Canva every video. This is stupid. Why am I doing this? I know image magic exists. I know this library, that library exists. So I wrote a Python script, said, I’m just going to give you a list of titles. I’m going to give you the template, the placeholder, I’ll tell you what font to use, you make it. This is not rocket surgery. This is not like inventing something new. This is slapping text on an image. And so now when I’m in my kitchen on Sundays cooking, I’ll record nine videos at a time. AI will choose the titles and then it will just crank out the nine images. And that saves me about a half an hour of stupid typing, right? Christopher S. Penn [20:33]: That stupid typing is not executive function. I’m not outsourcing anything valuable to AI. Just make this go away. So if you think and you automate little bits everywhere you can and then you start gluing it together, that gets you to V1. And then you take a step back and go, wow, V1 is a hot mess of duct tape and chewing gum and bailing wire. And then that you say to with, in partnership with your AI, reverse engineer the requirements of this janky system that we’ve made to A requirements document. And then you say, okay, now let’s build v2, because now we know what the requirements are. We can now build V2 and then V2 is polished. It’s lovely. Like my voice transcription system V1 was a hot mess. Christopher S. Penn [21:16]: V2 is a polished app that I can run and have running all the time and it doesn’t blow up my system anymore. But in terms of thinking about how we apply AI and the sort of AI mindset, that’s the approach that I take. It’s not the only one by any means, but that’s how I think about this. So when someone says, hey, open call is here, what’s the first thing I do? I go to the GitHub repo, I grab a copy of it, make a copy of it, because stuff vanishes all the time. And then I dive in with an AI coding tool just to say, explain this to me what’s in the box. Christopher S. Penn [21:53]: If you are a more technical person, one of the best things that you can do in a tool like Claude code is say, build me a system diagram, analyze the code base and build me system. Don’t make any changes, don’t do anything, just explain the system to me and you’ll look at it and go, oh, that’s what this does. When I’m debugging a particularly difficult project, every so often I will say, hey, make a system diagram of the current state and it will make one. And I’ll be like, well, where’s this thing? It’s like, oh yeah, that should be there. I’m like, yeah, no kidding it should be there. Would you please go and fix that? But having to your point, having the self awareness to take a step back and say show me the system works really well. Christopher S. Penn [22:39]: If you want to get really fancy, you could screen record you doing something, load that to a system like Gemini and say, make me a process diagram of how I do this thing. And then you can look at it with a tool like Gemini because Gemini does video really well and say, how could I make this more efficient? Katie Robbert [22:59]: I think that’s a really good entry point for most of us. Most machines, Macs and PCs come with some sort of screen recorder built in. There’s a lot of free tools, but I think that’s a really good opportunity to start to figure out like, is this something that I could find efficiencies on? Speaker 3 [23:19]: Do I even have documentation around how I do it? Katie Robbert [23:22]: If not, take this video and create some and then I can look at it and go, oh, that’s not right. The thing I want to reinforce, you know, as we’re talking about these autonomous, you know, virtual assistants, executive assistants, you know, these bots that are going to take over the world, blah, blah. You still need human intervention. So, Chris, as you were describing, the process of having the system create the title cards for your videos, I would imagine, I would hope, I would assume that you, the human reviews all of the title cards ahead of, like, before posting them live, just in case you got on a particular rant in one video, it was profanity laced and the AI was like, oh, well, Chris says this particular F word over and over again, so it must be the title of the video. Katie Robbert [24:14]: Therefore, boom, here’s title card. And I’m just going to publish it live. I would like to believe that there is still, at least in that case, some human intervention to go. Oh, yeah, that’s not the title of that video. Let me go ahead and fix that. And I think that’s. Go ahead. Christopher S. Penn [24:29]: There isn’t human intervention on that because there’s an ideal customer profile that is interrogated as part of the process to say, would the ICP like this? And the ICP is a business professional. And so, you know, I’ve had it say, the ICP would not like this title and it will just fix itself. And I’m like, okay, cool. So you, to your point, there was human intervention at some point, and then we codified the rules with an ideal customer profile. Say, this is what the audience really wants. Katie Robbert [24:54]: And I think that’s okay. Speaker 3 [24:56]: I think you at least need to. Katie Robbert [24:57]: Start with that for V1. You should have that human intervention as the QA. But to your point, as you learn, okay, this is my ideal customer, and this is what they want. This is the feedback that I’ve gotten on everything. Take all of that feedback, put it into a document and say, listen to this feedback every time you do something. Make sure we’re not continually making the same mistakes. So it really comes down to some sort of a QA check, a quality assurance check in the process before you just unleash what the machines create to the public. Christopher S. Penn [25:31]: Exactly. So to wrap up Open Claw, Claudebot, Multbot, slash, whatever they want to call it this week is by itself not something I would recommend people install. But you should absolutely be thinking about, what does a semi autonomous or fully autonomous system look like in our future, how will we use it? And laying the groundwork for it by getting your own AI mindset in place and documenting the heck out of everything that you do so that when a production ready system like that becomes available, you will have all the materials ready to make it happen and make it happen safely and effectively. Christopher S. Penn [26:09]: If you’ve got some thoughts or hey, you installed open claw and burned down your computer pot, drop by our free slot group Go to trust insights AI analytics for marketers where you and over 4,500 marketers are asking and answering each other’s questions every single day. And wherever it is you watch, listen to the show. If there’s a channel you’d rather have it on, said go to Trust Insights AI TI Podcast. You can find us all the places fine podcasts are served. Thanks for tuning in to talk to you on the next one. Speaker 3 [26:40]: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable Insights. Founded in 2017 by Katie Robert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity. Aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insight specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing roi. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Speaker 3 [27:33]: Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google, Gemini, Anthropic, Claude Dall? E, Midjourney Stock, Stable Diffusion and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights Podcast, the Inbox Insights newsletter, the so what Livestream webinars and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data, Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 [28:39]: Data Storytelling this commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI sharing knowledge widely whether you’re a Fortune 500 company, a mid sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Episode 275 for the week of January 25, 2026, in which we discuss the second episode of season 1 of HBO's A Knight of the Seven Kingdoms. Notes: This episode, like all our episodes, contains full spoiler discussion from all relevant published works. This episode was reposted (with V2 title in the posting) due to […]

We're starting production of the EDA podcast! On YouTube, it'll be on the same channel as Ever Dark because we have playlists. On Spotify etc, it will have its own feed, which can be found here: https://open.spotify.com/episode/0yaYmQ79zNQ1beaR80oLLU?si=qVsLsWRtQD2GMgqNj4Gr5Q There's very little sexy stuff in the first volume of EDA, but when the sexy stuff starts happening, it's not as neatly sectioned off as the other stories. There's going to be a lot of ungraceful edits to cut out the non-PG material. Fortunately we won't have to worry about that very much until V2, which starts at chapter 19.

À la fin de la Seconde Guerre mondiale, l'Europe est en ruines, l'Allemagne vaincue, et le monde découvre l'ampleur des crimes du régime nazi. Pourtant, dans l'ombre des procès et des dénazifications officielles, une autre histoire commence. Une histoire secrète, pragmatique, et profondément troublante : l'opération Paperclip.Nous sommes en 1945. Les États-Unis comprennent rapidement que la victoire militaire n'est qu'une étape. Un nouveau conflit se profile déjà : la rivalité avec l'Union soviétique. Dans cette course à la puissance, un trésor attire toutes les convoitises : les scientifiques allemands. L'Allemagne nazie, malgré sa défaite, possède certains des ingénieurs et chercheurs les plus avancés du monde, notamment dans les domaines des fusées, de l'aéronautique, de la chimie et de la médecine.Washington décide alors d'agir vite. Très vite.L'opération Paperclip est lancée dans le plus grand secret. Son objectif : identifier, recruter et transférer aux États-Unis des centaines de scientifiques allemands, même lorsque leur passé est entaché d'une collaboration active avec le régime nazi.Le nom « Paperclip », trombone en anglais, vient d'une pratique administrative simple mais lourde de sens : on agrafe aux dossiers compromettants une nouvelle fiche « nettoyée », supprimant toute mention trop gênante du passé politique de certains candidats.Parmi ces recrues figure un nom devenu célèbre : Wernher von Braun. Ingénieur vedette du programme de missiles V2, armes qui ont semé la terreur à Londres et Anvers, il est récupéré avec son équipe et installé aux États-Unis. Quelques années plus tard, cet ancien scientifique du IIIᵉ Reich devient l'un des architectes du programme spatial américain et contribue directement à l'envoi des astronautes sur la Lune.Mais Paperclip ne se limite pas aux fusées. Médecins, chimistes, spécialistes en armement, chercheurs en électronique ou en sous-marins traversent eux aussi l'Atlantique. Officiellement, il s'agit de protéger ces connaissances contre une récupération soviétique. Officieusement, on ferme souvent les yeux sur des zones d'ombre : travail forcé, proximité avec la SS, expérimentations humaines.Le dilemme est immense. D'un côté, une exigence morale : juger les responsables des crimes nazis. De l'autre, une logique stratégique : ne pas laisser ces cerveaux tomber aux mains de Moscou.Entre 1945 et le début des années 1950, plus de 1 600 scientifiques allemands sont ainsi transférés vers les États-Unis grâce à Paperclip.Cette opération contribue directement à la supériorité technologique américaine pendant la Guerre froide : missiles balistiques, aviation supersonique, et bien sûr conquête spatiale.L'opération Paperclip révèle une vérité dérangeante : dans certaines circonstances, les grandes puissances sont prêtes à sacrifier la justice sur l'autel de la puissance. Une page sombre et paradoxale de l'histoire, où les anciens ennemis deviennent des alliés… au nom de l'avenir. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Text your thoughts and questions!In honor of a huge milestone —10 years of the business behind the podcast—I am reflecting on the last 10 years and the conversations I've had with clients, listeners, and my fellow multi-passionate entrepreneurs. So today in episode 299 of the Positively LivingⓇ Podcast, instead of focusing on one topic, I'm celebrating by sharing 10 lessons of positive productivity that I've learned over the last decade. In this episode of the Positively LivingⓇ Podcast, I'm focusing on 10 lessons that connect to the same theme: productivity isn't a one-size-fits-all approach. You must find what works for you and honor that.  The 10 lessons I cover in this episode include: Productivity is personal, not universal. Fluctuating energy is normal. Plan for it. Good enough beats perfect. Decluttering is a whole-life practice.Rest is not a reward; it's a requirement. Joy fuels productivity. Shame is the worst motivator. Systems don't need to be complicated. Let the season you're in guide your choices. Start where you are, grow as you go. I want to celebrate with you! Find me on social media and message me, sharing what you're celebrating today—big or small—and if this episode resonated with you, please leave a review on Apple Podcasts or a rating on Spotify to help others join this important conversation. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

This episode is a little different. I'm diving into tennis gear, everything except the racquet and shoes, with the founder of one of my favorite brands, ADV. I use their bags, dampeners, and even sweat bands.Lavie Sak has a tech background, plays tennis, and used to coach as well. We explore how his company lets players lead the design of its products. From dampeners to grips to their popular bags, ADV innovates as well as any company in tennis. Lavie shares the messy first prototype, the tough cuts, and why ADV chose quality over mass pricing while partnering with pros who give real feedback.How ADV got startedDampener testing across 27 racquets and sound profilesTennis grips - how to choose between dry and tackyDesigning the ADV Pro bag and prioritizing featuresHow they develop an idea into a finished productFeedback loops that shaped V2 and V3 of the bagWhy ADV makes two backpacksCurated training kit components and use casesPricing tradeoffs, materials, and longevityDoubles tips on serve variety and aiming middlePartnerships with Sem Verbeek, JP Smith, and Zus TennisI use the ADV Pro for travel and the Flex bag locally around Fort Worth.Links:Shop ADV TennisLearn more about ADV & follow:ADV Tennis - InstagramADV Tennis - YouTubeADV Tennis - Facebook ----- **Join the #1 Doubles Strategy Newsletter for Club Tennis Players** New doubles strategy lessons weekly straight to your inbox **Become a Tennis Tribe Member**Tennis Tribe Members get access to premium video lessons, a monthly member-only webinar, doubles strategy Ebooks & Courses, exclusive discounts on tennis gear, and more. Learn More & Sign Up Here **Other Free Doubles Content** Serve Strategy Cheatsheet Return Strategy Cheatsheet Serve Strategy 101 - Video Course

In this episode we are joined by TN to discuss Pendle's transition from vePENDLE to sPENDLE, changes to emissions and buyback mechanics and evolving LP incentives. We also explore Boros, user adoption, V2 market design and Pendle's near- and long-term roadmap. Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Follow Blockworks Research: https://x.com/blockworksres Follow Pendle: https://x.com/pendle_fi Follow TN: https://x.com/tn_pendle?lang=en Follow Luke: https://x.com/0xMether Follow Boccaccio: https://x.com/salveboccaccio -- A yearly Blockworks Research subscription is $4,500, but now you can get our latest MetaDAO research report absolutely free. Read up on the latest funding models and what it all could mean for the future of ICOs: https://link.blockworks.co/metadaoreport -- Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (0:45) sPENDLE: Incentives and Buybacks (12:29) Boros: Fixed Rates, Perps, and Volatility (25:41) Pendle V2: Emissions and Market Efficiency (41:02) What's Next for Pendle and Boros (43:31) Closing Comments -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Text your thoughts and questions!Many of us struggle with the guilt of taking time for ourselves, often viewing self-care as a luxury we can only afford once everything else is done. But here's the truth: when we neglect ourselves, we welcome exhaustion, resentment, and burnout. This week, on episode 297 of the Positively LivingⓇ Podcast, I am continuing my special series guiding you through my Positively Productive Toolkit, with the key to self-care: the Joy List. In this episode of the Positively LivingⓇ Podcast, I'm diving into my Joy List, reframing self-care not as an indulgence, but as essential maintenance for your mind and body, helping you map your way back to yourself through the science of positive emotions and the art of “compassionate productivity.”Key takeaways:Self-Care as Energy Maintenance: Why joy is a biological necessity to expand your mental lens, foster creativity, and help you recover from stress faster.The Science of Nervous System Regulation: How small "glimmers" of joy act as cues to shift you out of "fight or flight" and into a state where you can solve problems with clarity.The Overlap of Values and Joy: Whether you value connection, beauty, or freedom, identifying specific joyful activities makes your values tangible and actionable.The Sliding-Scale Approach: Three levels of joy so you can practice self-care, no matter how busy you are.Your joy is not a frivolous "extra", it's the fuel that keeps you whole. This week, start by identifying three quick ways you can sprinkle joy into your day. Whether it's listening to a favorite song or taking three deep breaths outside, notice how your energy shifts when you choose yourself.Haven't downloaded your Positively Productive Toolkit yet? You can find it at positivelyproductive.com/PLPKit Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 241: Why Being Cozy Can Make You More ProductiveEp 204: Why Bringing Nature Inside Will Help You Focus Better with Kasey RileyEp 296: Core Values: A Foundation of Sustainable ProductivityDance Song Playlist V1, V2,

Text your thoughts and questions!So many of us struggle with “productivity shame”-- the feeling that we're failing because we can't stay consistent. Maybe our systems and schedules look good on paper, but leave us feeling exhausted, guilty, or burnt out. The truth? Our daily actions are in a constant tug-of-war with our souls. This week, on episode 296 of the Positively LivingⓇ Podcast, I am kicking off a special series guiding you through my Positively Productive Toolkit, starting with the foundational element of sustainable productivity: core values. In this episode of the Positively LivingⓇ Podcast, I'm sharing how you can identify the fundamental beliefs that guide your behavior and how to use them as a “filter” to sift through the noise of the world. Key Takeaways:Your values are the ultimate decision-maker for feeling grounded (instead of drained) in your efforts.Resistance and inconsistency are often linked to a lack of alignment. Learn how to narrow a list of ideals into five essential anchor values that represent your most authentic self. Shift your perspective from who you “should” be to who you actually are, allowing you to create a life that honors your energy and capacity. Your productivity should support your life, not the other way around. Haven't downloaded your Positively Productive Toolkit yet? You can find it at positivelyproductive.com/PLPKit Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 293: Simple Filters to Help You Make DecisionsDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!