Podcasts about Space

Why might alien intelligence evolve at gigantic scales? Big Alien Theory explores how size alone could silence advanced civilizations.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technologyCheck out Joe Scott's Oldest & Newest: https://nebula.tv/videos/joescott-oldest-and-newest-places-on-earth?ref=isaacarthur

Why might alien intelligence evolve at gigantic scales? Big Alien Theory explores how size alone could silence advanced civilizations.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technologyCheck out Joe Scott's Oldest & Newest: https://nebula.tv/videos/joescott-oldest-and-newest-places-on-earth?ref=isaacarthur

"To do anything involves the body. ²And if you recognize you need do nothing, you have withdrawn the body's value from your mind. ³Here is the quick and open door through which you slip past centuries of effort, and escape from time. ⁴This is the way in which sin loses all attraction right now. ⁵For here is time denied, and past and future gone. ⁶Who needs do nothing has no need for time. ⁷To do nothing is to rest, and make a place within you where the activity of the body ceases to demand attention. ⁸Into this place the Holy Spirit comes, and there abides. ⁹He will remain when you forget, and the body's activities return to occupy your conscious mind.8. Yet there will always be this place of rest to which you can return. ²And you will be more aware of this quiet center of the storm than all its raging activity. ³This quiet center, in which you do nothing, will remain with you, giving you rest in the midst of every busy doing on which you are sent. ⁴For from this center will you be directed how to use the body sinlessly. (ACIM, T-18.VII.7:1–8:4)Visit the website for information on these meetings, the online community and information on paid private mentoring with Keith:https://www.acimwithkeith.com/You can watch many older meetings on the YouTube Channel here: https://www.youtube.com/@acimwithkeithOur meetings are organised in the Facebook group, "A Course In Miracles With Keith" Please ensure you read and agree to the group rules on application to have membership approved. This is the link:⁠ https://www.facebook.com/groups/384802770144828⁠If you'd like to donate, you can do so with paypal here:⁠ https://www.paypal.com/paypalme/keithkav⁠Or you can donate with credit card here:⁠ https://www.mypos.com/@keith⁠

As the space industry becomes increasingly commercialized, competitive, and mission-driven, one truth remains universal: having the right people on the team is mission-critical. This issue was explored during Commercial Space Week and part of the panel, Mary Baldino, Director. of Sales/Marketing at Vaya Space, and Tahara Dawkins, Director of Policy at Astroscale US, joined us to continue the conversation.  Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

She never thought of herself as someone who attracted strange experiences. A few odd moments over the years, maybe—but nothing persistent. Nothing that suggested sensitivity. Her niece, however, was different. Quiet about it. Careful not to draw attention. But undeniably aware.When her niece came to stay in a small basement apartment, nothing seemed out of the ordinary at first. A walking tour through historic neighborhoods felt harmless. The apartment felt familiar. Normal. But certain moments didn't sit right—sounds that stopped instead of finishing, reactions that came before explanations, animals that froze without warning.As time passed, unease followed her beyond the apartment and into places that should have felt safe. Subtle changes in atmosphere replaced obvious signs. Silence became meaningful. Space felt occupied.#RealGhostStoriesOnline #ParanormalExperience #SensitiveAbilities #HauntedApartment #ShadowFigures #UnexplainedEncounters #SomethingFollowed #TrustYourInstincts #CreepingDread #TrueGhostStoryLove real ghost stories? Want even more?Become a supporter and unlock exclusive extras, ad-free episodes, and advanced access:

Adam Ganser and Abe Epperson discuss the 1998 anime Cowboy Bebop. This time, we talk about the one where Spike is haunted by an indestructible clown. Features: Abe Epperson: https://bsky.app/profile/abeepp.bsky.social Adam Ganser: https://bsky.app/profile/ganz.bsky.social Support Small Beans and access Additional Content: https://www.patreon.com/SmallBeans Check our store to buy Small Beans merch! https://www.teepublic.com/stores/the-small-beans-store

In 2026, the reality is this: people are juggling more than ever — career, relationships, family, health, finances, faith, and personal growth. Each role demands time and energy, and often they compete with one another. When one area improves, another can feel neglected. The truth is, doing everything well at the same time is impossible. So the question becomes: Is it really possible to find balance? What should we prioritize? And can we live with the decisions we make? Jonathan takes us to a powerful passage that centers on three revealing words: Concerned, Worried, and Upset. Through this lens, he challenges listeners to examine where their focus truly lies. Are we overwhelmed by what feels urgent? Distracted by what doesn't matter most? Or anxious about things beyond our control? Tune in and discover the direction he leads us — and consider for yourself: did the message change how you think about balance? The passage for inspiration is Luke 10:38-42 NLT

They informed and entertained together throughout the first 20 years of Planetary Radio. Listen in as the Society’s chief scientist and book club edition host Mat Kaplan share the mic once again for a delightful conversation about Dr. Betts’ two new space books for young people. “Are We Alone?” introduces the search for life across the Universe, while “The Size of Space” collects many of Bruce’s brilliant and hilarious ways to cut our Solar System down to human size. Discover more at: https://www.planetary.org/planetary-radio/book-club-bruce-bettsSee omnystudio.com/listener for privacy information.

Is building data centers in space actually feasible? It may be, thanks to Ariel Ekblaw. The scientist, VC investor and co-founder and CEO of Aurelia Institute has devoted her life to democratizing space and ensuring that humans will one day be a spacefaring species. Ariel sits down with Oz to discuss self-assembling space architecture, how science-fiction influences her inventions, and why she doesn’t think billionaires investing in space is a bad thing.See omnystudio.com/listener for privacy information.

Sponsor Link:This episode of Space Nuts is brought to you by Incogni. Reduce the volume of spam calls and emails. They can't spam you if they can't find you. To find out more and to take up our 60% off offer, visit incogni.com/spacenuts and use the coupon code SPACENUTS at checkout.Lava Tubes on Venus, Elon Musk's New Target, and China's Lunar AmbitionsIn this intriguing episode of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson explore a variety of captivating topics that span our solar system. From the surprising discovery of lava tubes on Venus to Elon Musk's shifting focus from Mars to the Moon, this episode is packed with astronomical insights and updates on space exploration.Episode Highlights:- Lava Tubes on Venus: A new study suggests the existence of massive lava tubes on Venus, with evidence pointing to structures that could reach up to a kilometer wide. Andrew and Fred discuss the implications of this discovery and how it was derived from radar data collected by the Magellan spacecraft.- Elon Musk's Change of Plans: The hosts delve into Elon Musk's evolving vision for space travel, as he shifts his focus from colonizing Mars to prioritizing lunar missions. They discuss the logistical challenges of Mars travel and the advantages of a Moon base.- China's Reusable Booster Test: The China Manned Space Agency has successfully tested a reusable booster and a new spacecraft designed for lunar missions. Andrew and Fred analyze the significance of this achievement in the context of the current space race.- Titan's Mysterious Past: The episode concludes with a look at Saturn's moon Titan, which may have formed from a collision between two moons. The hosts explore the implications of this theory and what it means for future exploration of Titan.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space-nuts-astronomy-insights-cosmic-discoveries--2631155/support.

One of the most exciting missions to ever journey to the outer solar system has the be the Dragonfly multi-rotor helicopter that will head to Saturn's moon Titan in 2028. The car-sized probe will arrive at that strange, frozen world in 2034, descending into the soupy, smoggy atmosphere and then taking flight before it even touches the ground! We spoke with the mission's Principal Investigator, Dr. Elizabeth "Zibi" Turtle, about the mission's origins, current progress, and what to expect in the coming years. She also took us through a narrated tour of the surface of Titan, with its hydrocarbon sand dunes and methane seas. The Dragonfly mission will be an adventure of a lifetime! Headlines: NASA's Artemis II Moon Rocket Aces New Fueling Test Boeing Starliner is Rated a "Type A" Mishap and Faces More Launch Delays Perseverance Rover Gets Instant Mars GPS-like Functionality Main Topic: NASA's Dragonfly Mission to Titan Dr. Elizabeth Turtle explains Dragonfly's origins and mission concept Why Titan is unique and somewhat akin to the primordial Earth, perfect for exploring prebiotic chemistry Dragonfly's advanced science suite and autonomous flying capability Insights from the Cassini/Huygens missions and how they are shaping Dragonfly Navigation, flight strategy, and safety planning for Titan's harsh environment Power, heating, and longevity on Titan's freezing surface Titan's dune landscape, flying conditions, and analogs to Earth Big scientific questions: methane cycle, atmospheric mysteries, and potential surprises Mission timeline, lander design, and the innovative "fly-as-you-land" arrival approach Hosts: Rod Pyle and Tariq Malik Guest: Dr. Elizabeth Turtle Download or subscribe to This Week in Space at https://twit.tv/shows/this-week-in-space. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

SpaceTime with Stuart Gary Gary - Series 29 Episode 22In this episode of SpaceTime, we delve into the formation of the universe's most enigmatic objects, explore the origins of Saturn's iconic rings, and get updates on NASA's Artemis 2 mission.Black Holes and Exotic Cosmic StructuresA groundbreaking study suggests that some of the universe's most exotic entities, including black holes and cannibal stars, may have formed just seconds after the Big Bang. Researchers from the International School of Advanced Studies propose that subatomic particles condensed into halos of matter, which then collapsed to create these fascinating cosmic structures. Their findings, published in Physical Review D, indicate that even in the earliest moments of the universe, complex physical phenomena were already taking shape, paving the way for our understanding of cosmic evolution.The Formation of Saturn's RingsNew research proposes that Saturn's largest moon, Titan, may have formed from the collision of two older moons, potentially linking this event to the creation of Saturn's spectacular ring system. The study, reported in the Planetary Science Journal, utilizes computer simulations to explore the dynamics of Saturn's moons and their interactions, suggesting that Titan's merger could explain its unique orbit and the age of the rings, estimated to be around 100 million years.NASA's Artemis 2 Mission UpdateFollowing the recent scrubbing of the Artemis 2 launch due to hydrogen leaks, NASA has made significant repairs and is preparing for another attempt. Engineers have replaced seals in the mobile launcher's umbilical area and are conducting further testing to ensure the rocket's readiness. With multiple launch windows available in March, the Artemis 2 mission aims to test key systems aboard the Orion spacecraft, setting the stage for future lunar exploration and the eventual return of humans to the Moon.www.spacetimewithstuartgary.com✍️ Episode ReferencesPhysical Review D, Planetary Science JournalBecome a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.

What if the reason you feel stretched thin has nothing to do with how much time you have — and everything to do with where you're putting it? In this episode, Bradley breaks down one of the most impactful exercises a small business owner can do: the time and energy audit. He traces the idea back to its roots, makes the case for why energy matters just as much as hours, and gives you a clear framework for getting started.Books & Resources MentionedBuy Back Your Time — Dan Martell. The Effective Executive — Peter Drucker. Alex Hormozi (time study concept). Alex Charfen / EPT (Entrepreneurial Personality Type).Register Now! Lead Yourself First: February 24th - an Above The Business WorkshopFREE workshop for business owners who planned well but are running on fumes.You set the goals in January. You aligned the team. You built the plan.But six weeks in, you're exhausted.Here's the truth: Your business won't grow beyond you until you lead yourself first.Join Bradley for a FREE 2-hour workshop on February 24th at 10 AM CST.You'll build your Personal Operating System, Decision Framework, Energy Protection Plan, Role Clarity Matrix, and 90-Day Accountability Structure.Space is limited. https://blueprintos.com/assetsThanks to our sponsors...Coach P found great success as an insurance agent and agency owner. He leads a large, stable team of professionals who are at the top of their game year after year. Now he shares the systems, processes, delegation, and specialization he developed along the way. Gain access to weekly training calls and mentoring at www.coachpconsulting.com. Be sure to mention the Above The Business Podcast when you get in touch.Autopilot Recruiting helps small business owners solve their staffing challenges by taking the stress out of hiring. Their dedicated recruiters work on your behalf every single business day - optimizing your applicant tracking system, posting job listings, and sourcing candidates through social media and local communities. With their continuous, hands-off recruiting approach, you can save time, reduce hiring costs, and receive pre-screened candidates, all without paying any hiring fees or commissions. More money & more freedom: that's what Autopilot Recruiting help business owners achieve. Visit https://www.autopilotrecruiting.com/ and don't forget to mention you heard about us on the Above The Business podcast.Direct Clicks is built is by business owners, for business owners. They specialize in custom marketing solutions that deliver real results. From paid search campaigns to SEO and social media management, they provide the comprehensive digital marketing your business needs to grow. Here's an exclusive offer for Above The Business listeners: Visit directclicksinc.com/abovethebusiness for a FREE marketing campaign audit. They'll assess your website, social media, SEO, content, and paid advertising, then provide actionable recommendations. Plus, when you choose to partner with them, they'll waive all setup fees.About Above The Business:Above The Business is hosted by Bradley Hamner, founder of BlueprintOS, and focuses on helping small business owners transition from Rainmaker to Architect. Each week, Bradley shares frameworks, interviews successful entrepreneurs, and provides actionable insights for building businesses that run without you. Whether you're doing $300K or $3M in revenue, this show will help you get above your business and design the systems you need to scale.

1: REISS RUBEN - The Flame (Original Mix)2: MAX STYLER - One More ft. Ad-Apt (Extended Mix)3: LEWIS JOHN - Disco Behaviour (Extended Mix)4: SWIMMING PAUL – Super High5: CHEYENNE GILES - Been Good (feat. Kris Kiss) 6: TWOFACED - Love Again7: MARTIN MIX, SOMETIMES LO - The Heat (Extended Mix)8: MEGRA - In My Mind LISTENERS' CHOICE8:         Oliver Lieb - Subraumstimulation (Main Mix) 10: ELI & FUR - Strange11: BREN LOCK - We Can Go (Extended Mix)12: ETHAN WALSH - Look Good (Franky Ricardo remix) 13: JORIS VOORN X FERRY CORSTEN X MOONMAN - Don't Be Afraid (Extended) TRIED & TESTED14: SOUL MASS TRANSIT SYSTEM - One 2 One 15: OLING & VIGGO DYST – My Friends16: ACEMO - Club Groove (Groove McDoodle)17: WILL CLARKE X FAST EDDIE - Put You Under (Original Mix) GUEST SELECTION:  R3WIREXpansions - Move Your Body (Club)San Pacho & SEBS (US) - Impressive (Extended Mix)  THE WARM UP SELECTION 18: HERMITUDE – Over You19: AIRWOLF PARADISE - Concentrate (Extended Mix)20: PPJ – Me Pega21: R3WIRE – Back Again THE MAINSTAGE MIX  22: RIVER & SIGNUM - What Ya Got 4 Me 23: KNUCKLEHEADZ - House Rocca (Twenty Twenty Six Remix)24: LILLY PALMER, SPACE 92 - Vicious Chords (Extended Mix)25: LEENA PUNKS - Ceasefire26: CHRIS METCALFE - Supernature (Extended Mix)27: MAOR LEVI - Reflect28: CHARLOTTE DE WITTE - A Prayer For The Dancefloor 29: T E S T P R E S S - D.A.N.C.E 

Hour 1 of A&G features... Aliens, billionaires tax in CA, Epstein/ex Prince Andrew & Alysa Liu Katie Green's Headlines! C.O.W. Clips of the Week & the State of the Union Mailbag! See omnystudio.com/listener for privacy information.

NOT the Great Wall of China.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

00:00:00 – Sleepless grind and brain-boosting hacks 00:04:53 – Alex Jones clips strategy and audience backlash 00:09:29 – Alex Jones bathroom supercut obsession 00:14:23 – Obama "aliens are real" headline vs clarification 00:19:22 – Havana syndrome microwaves and a scientist self-test 00:28:45 – Post-death consciousness and organ-harvest timing 00:37:13 – Daycare teacher dosing toddlers with laxatives 00:46:16 – Shipping container corpse clip and elite cover-up talk 00:50:44 – State Department scandal flashback and Epstein skepticism war 00:58:47 – Epstein emails: baby-buying claim and missing accountability 01:07:27 – Howard Lutnick's 9/11 timeline contradictions 01:12:05 – WTC7 theory and the "missing Epstein 9/11" thread 01:17:02 – Catherine Austin Fitts: Epstein as money-laundering infrastructure 01:22:00 – Zohran Mamdani rent-freeze pitch and tax reality 01:27:00 – "Free grocery store" stunt collapses under logistics 01:32:03 – NHS waitlist misery as the "free care" warning label 01:36:55 – Boneless wings lawsuit: nuggets vs "wings" semantics 01:41:55 – Meta-style AI doubles that post for you 01:46:54 – Audiophile blind tests dunk on magic cables 01:51:46 – "Space crime" bank-account drama from the ISS 01:56:19 – Wrap-up plugs and humanoid robot teaser Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2  

How interstellar relays could move data, cargo, and starships between stars using lasers, light sails, and cosmic-scale infrastructure.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technology

How interstellar relays could move data, cargo, and starships between stars using lasers, light sails, and cosmic-scale infrastructure.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technology

An astronaut. A bitter divorce. A bank account accessed from orbit. When decorated NASA astronaut Anne McClain was accused of committing the first crime aboard the International Space Station, headlines exploded around the world. But investigators soon uncovered something far more deliberate and exceptionally false. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jennifer Pattison Tuohy of The Verge joins Mikah Sargent this week! Amazon's Ring product had a Super Bowl ad that generated a lot of discussion and backlash following its debut. A look inside Lego's Smart Brick technology. And NASA's Perseverance rover completed its first-ever drive fully planned by AI. Jennifer talks about Amazon Ring's Super Bowl commercial that sparked a lot of backlash, which showcases its AI-powered Search Party feature, with concerns that it could be used as a means of a mass networked surveillance system. Mikah is fascinated by the dive into Lego's new Smart Brick technology. And Tariq Malik of Space.com and This Week in Space joins the show to talk about NASA's Perseverance rover, which completed its first drive planned by AI, and how the technology's use compares to a human-planned drive. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Tariq Malik Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins Mikah Sargent this week! Amazon's Ring product had a Super Bowl ad that generated a lot of discussion and backlash following its debut. A look inside Lego's Smart Brick technology. And NASA's Perseverance rover completed its first-ever drive fully planned by AI. Jennifer talks about Amazon Ring's Super Bowl commercial that sparked a lot of backlash, which showcases its AI-powered Search Party feature, with concerns that it could be used as a means of a mass networked surveillance system. Mikah is fascinated by the dive into Lego's new Smart Brick technology. And Tariq Malik of Space.com and This Week in Space joins the show to talk about NASA's Perseverance rover, which completed its first drive planned by AI, and how the technology's use compares to a human-planned drive. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Tariq Malik Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins Mikah Sargent this week! Amazon's Ring product had a Super Bowl ad that generated a lot of discussion and backlash following its debut. A look inside Lego's Smart Brick technology. And NASA's Perseverance rover completed its first-ever drive fully planned by AI. Jennifer talks about Amazon Ring's Super Bowl commercial that sparked a lot of backlash, which showcases its AI-powered Search Party feature, with concerns that it could be used as a means of a mass networked surveillance system. Mikah is fascinated by the dive into Lego's new Smart Brick technology. And Tariq Malik of Space.com and This Week in Space joins the show to talk about NASA's Perseverance rover, which completed its first drive planned by AI, and how the technology's use compares to a human-planned drive. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Tariq Malik Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: zscaler.com/security

The Respectable Addiction: When Work Becomes the Coping Mechanism A reflection on burnout, identity, and recovery — plus practical action steps There's an addiction we rarely talk about because it looks like ambition. It earns praise. Promotions. Respect. It hides behind phrases like "driven," "productive," and "hard-working." But for many high achievers, work isn't just effort — it's a coping mechanism. In this episode, Dawn shares her story of a "workaholic blackout" — the moment she realized work had become her drug. After years of recovery from substances, she found herself caught in a new cycle: overwork, anxiety, identity tied to productivity, and eventual burnout. At one point, she drove home from work and had no memory of the drive. That was the moment everything shifted. What followed was a diagnosis of extreme burnout and a realization that she wasn't just "busy" — she was addicted to working.     When Work Stops Being Healthy One of the most powerful distinctions Dawn shared is this: Working hard doesn't make someone a workaholic. External pressure doesn't equal addiction. Workaholism comes from the inside. It's marked by: An internal compulsion to keep working Self-worth tied to productivity Constant thoughts about work Anxiety or guilt when not working Difficulty detaching — even during rest You can meet deadlines, put in long hours, and still be healthy. But when work becomes how you manage fear, grief, identity, or anxiety — it shifts from effort to escape.     Burnout Isn't Just Exhaustion Burnout isn't just being tired. It's a full-system collapse: Physical Emotional Mental Spiritual For many high performers, burnout mirrors an addiction "bottom." You keep pushing… until your system can't. And then something breaks. Relationships suffer. Health declines. Meaning fades. And the work that once energized you begins to feel like pressure, obligation, or proof of worth.     The Cultural Trap Our culture celebrates overworking. We glorify: Hustle Sacrifice Endless productivity "Grinding" for success But we rarely talk about the cost: Anxiety Family strain Loss of identity outside work Chronic stress Emotional detachment Workaholism is often called "the respectable addiction" because it looks admirable from the outside. Until it doesn't.     Recovery Isn't About Quitting Work Unlike substances, you can't abstain from work. Recovery is about boundaries, awareness, and redefining your relationship to productivity. Dawn shared practices that helped her rebuild balance: Under-scheduling instead of over-planning Creating "top lines" (healthy behaviors to commit to) Creating "bottom lines" (behaviors to avoid) Protecting time for joy, relationships, and rest Spiritual grounding and daily reflection Detaching self-worth from output It's less about doing less — and more about working from a different place. Not fear. Not "not enough." Not urgency. But intention.     Action Steps: Rebuilding a Healthy Relationship With Work If this episode resonated, here are simple starting points. 1) Notice the fuel behind your productivity Ask yourself: Am I working from joy… or fear? Is this aligned… or avoidance? Am I creating… or proving? 2) Separate urgency from importance Not everything urgent is important. And not everything important feels urgent. Pause before reacting. 3) Identify your "bottom lines" Examples: No work after a certain hour No phone during family time No checking email first thing in the morning 4) Define your "top lines" Healthy commitments like: Movement Hydration Connection Rest Creative time 5) Schedule spaciousness Recovery often begins with: Fewer commitments Fewer calls Fewer goals at once Space allows clarity. 6) Detach identity from productivity Practice this reframe: "I am enough — with or without what I produce today." 7) Watch for the "self-care productivity trap" Even healing can become another project. Self-care isn't something to optimize. It's something to experience.     Reflection Prompts Where is my self-worth tied to achievement? What am I avoiding by staying busy? When do I feel most at peace — and why? What would "enough" look like today?     Resources Mentioned Workaholics Anonymous literature and tools Journaling and recovery reflection practices Byron Katie's "The Work" inquiry process Anxiety and habit research (Dr. Judson Brewer) Recovery communities and peer support spaces (Referenced from episode transcript)     Final Thought You don't have to burn out to change your relationship with work. You don't have to earn rest. You don't have to prove your worth. You don't have to run on fear. There is another way to work — one rooted in clarity, presence, and enoughness. And it starts with one honest question: What's really driving me right now? Guest Contact Info: 

In the 6 AM Hour: Larry O’Connor and Alex Swoyer discussed: As graduation rate falls to 14-year-low, school board member says Baltimore County Public Schools prioritizes adults ANTI-ICE STUDENT PROTESTS IN BALTIMORE Boeing announced on Wednesday that it will shift its Defense, Space and Security HQ back to St Louis after relocating to Chicago & then Arlington, VA in 2022. ILLEGAL ALIEN RAPIST ARRESTED IN RICHMOND RNC sues to stop Virginia redistricting referendum Where to find more about WMAL's morning show: Follow the Show Podcasts on Apple podcasts, Audible and Spotify. Follow WMAL's "O'Connor and Company" on X: @WMALDC, @LarryOConnor, @Jgunlock, @patricepinkfile, @Aswoyer and @heatherhunterdc. Facebook: WMALDC and Larry O'Connor Instagram: WMALDC Show Website: https://www.wmal.com/oconnor-company/ How to listen live weekdays from 5 to 9 AM: https://www.wmal.com/listenlive/ Episode: Thursday, February 19, 2026 / 6 AM HourSee omnystudio.com/listener for privacy information.

Are you struggling to find the right families for your homeschool co-op… or wondering how to advertise when no one seems to respond on Facebook? Maybe you've put yourself out there and heard nothing back… and you're asking, Where do I even find like-minded families who would be a good fit? And once those families do come… where will you meet? How do you even secure a location? In today's episode, we're talking about how to confidently start advertising your co-op — find like-minded families, secure the right space, and trust God to build what you could only imagine. So if you're ready to stop waiting and start building, grab a notebook… and let's dive in. Thanks for listening! We help homeschool leaders grow lasting community built on Christ, connection, and strong leadership.  Episode 48 - Should We Advertise?  Episode 117 - Church Relationships - How to Find Your Location   Next Steps:  Schedule a coaching call:  https://homeschoolcommunitybuilders.com/ Join our Facebook group- Lead Your Homeschool Co-op https://www.facebook.com/groups/72507320516066 Become a Lead Your Homeschool Co-op Insider and get first dibs on valuable resources to help you lead, organize, and connect your community.  https://homeschoolcommunitybuilders.com/contact/ Contact us! info@homeschoolcommunitybuilders.com

Jennifer Pattison Tuohy of The Verge joins Mikah Sargent this week! Amazon's Ring product had a Super Bowl ad that generated a lot of discussion and backlash following its debut. A look inside Lego's Smart Brick technology. And NASA's Perseverance rover completed its first-ever drive fully planned by AI. Jennifer talks about Amazon Ring's Super Bowl commercial that sparked a lot of backlash, which showcases its AI-powered Search Party feature, with concerns that it could be used as a means of a mass networked surveillance system. Mikah is fascinated by the dive into Lego's new Smart Brick technology. And Tariq Malik of Space.com and This Week in Space joins the show to talk about NASA's Perseverance rover, which completed its first drive planned by AI, and how the technology's use compares to a human-planned drive. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Tariq Malik Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: zscaler.com/security

In Episode 6 of Space Revolution, Lt. Gen. (Ret.) Steven L. Kwast and guest Brad Zerbo explore how mining asteroids and building in zero gravity could transform life on Earth. The discussion centers on three pillars of prosperity in space: information, energy, and resources, and how tapping into them could support the eight essentials of life, air, water, food, shelter, information, energy, transportation, and healthcare. They examine robotic asteroid mining, 3D printing structures in zero gravity, and the possibility of constructing entire homes in space and delivering them gently to Earth. The conversation highlights reusable rockets, renewable satellites, space-based energy beaming, and using water in space as fuel. Kwast emphasizes that reducing the cost of energy and materials could uplift the human condition globally while preserving Earth from destructive mining practices. Throughout the episode, they stress the importance of moral leadership, constitutional principles, and decentralizing control so individuals, not centralized powers, retain access to life's essentials. The show concludes with a recommended reading of Mining the Sky and a call for citizens to engage politically to guide this revolution responsibly.

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

You're not tired because you're busy.You're tired because your life has friction.In this episode, JP Bolwahnn — 14-year Navy SEAL veteran, firefighter, and high-performance coach — breaks down how clutter, unfinished tasks, and poor systems create hidden stress that drains your energy and limits your leadership.If you're a driven man in your 30s, 40s, or 50s trying to balance fitness, family, business, and productivity, this episode will show you how to eliminate overwhelm and reclaim clarity.This is not about being neat.This is about building systems that reduce stress, increase focus, and unlock high performance.In This Episode, You'll Learn:Why clutter creates cognitive fatigue and decision fatigueHow unfinished tasks increase stress and reduce mental clarityThe connection between environment and disciplineHow environmental design improves productivity and focusSimple systems to reduce overwhelm and increase executionHow order builds calm — and calm builds leadershipKey Takeaways for High-Performing MenLeadership requires energy.Energy requires clarity.Clarity requires reduced friction.When your space is chaotic, your nervous system stays “on.” That low-grade stress impacts your patience, productivity, and decision-making.By installing simple daily systems — like weekly planning, nightly resets, and friction removal habits — you can dramatically increase mental clarity, stress control, and performance.This episode is for men who want:Better focus and disciplineIncreased productivity without burnoutReduced stress and overwhelmStronger leadership at home and workHigh-performance habits that actually stickAbout JP BolwahnnJP Bolwahnn is a 14-year Navy SEAL veteran, athlete, firefighter, and founder of The Highly Effective Man. He helps busy men over 35 rebuild their strength, sharpen their mindset, and operate with discipline and authority in every area of life.Ready for a Full Overhaul?If you're ready to eliminate drift, tighten your systems, rebuild your body, upgrade your mindset, and unlock your full potential…Apply for 1-on-1 coaching inside Rebuild The Man.This is performance coaching for men who refuse to operate below capacity.Send a text

So many people carry the quiet dream of writing something meaningful. A book. A devotional. A story that has been sitting inside them for years.But the question lingers Where do I even begin?In this episode of Space for Life, Tommy sits down with Terry Whalin, acquisitions editor at Morgan James Publishing and author of more than 60 books, to talk about what it really takes to move from dream to discipline.Terry pulls back the curtain on the publishing world and explains why most aspiring authors start in the wrong place, what publishers are actually looking for, and why writing success is often 80 percent about the author and 20 percent about the book. They explore the catch 22 of publishing, the power of critique groups and apprenticeship, and why becoming a better reader is foundational to becoming a better writer.If you have ever considered writing, or simply want to understand how books truly shape lives, this conversation offers practical clarity and grounded encouragement for taking your next step.(0:00) Why So Many People Dream of Writing(6:41) How One Book Can Change a Life(14:16) What Publishers Really Look For(18:07) Where Aspiring Writers Should Start(32:32) The Catch 22 of Getting Published(40:19) The Power of Critique Groups(48:34) Why Reading Shapes Better Writing(58:53) Building Consistency as a WriterLove the show? Subscribe, rate, review, and share! http://tommythompson.org

I sat down with Max Kaplan, CTO of SolStrategies ($STKE), to break down how Solana validators actually make money — and why most people misunderstand the business model.We covered:•⁠ ⁠Every revenue source for validators•⁠ ⁠Why speed is existential (not cosmetic)•⁠ ⁠Why data centers should behave like power plants — not treasuries•⁠ ⁠Could a Solana validator operate in space?•⁠ ⁠How they acquire and maintain state•⁠ ⁠What 4M delegated SOL actually meansThis is infrastructure alpha most retail never sees.---

The next era of Swamp Bar arrives this week. The Swamp Lounge is set to open soon as the Swamp Bar's casual cousin, located in the former Second Line space at 2144 Monroe Ave. Sam Reeves Hill is the bar manager at Swamp Bar and the guest on this week's Sound Bites podcast.

Le mix de Maddix dans 103 Klubb le 14 Février 2026 de 19H à 20H Tracklist: Maddix, Olly James & Hannah Laing - Transmission *** Higate - Pitchin (Trance Wax Remix) (Shugz Edit) *** Lilly Palmer & Space 92 - Vicious Chords *** Lilly Palmer & Danny Avila - Morals *** Ben Gold - Bad Potato *** Nifra - Awaken Your Soul *** FLKN - The Light *** NAEMS - Acid Shit *** Armin van Buuren & Lilly Palmer - Dopamine Machine *** Armin van Buuren & Maddix feat. Caroline Roxy - Mouth Go (La La La) *** Bassjackers & Wukong - Rave Baby *** T78 - Hit ’Em With The Bass *** Dugi - Renaissance *** NEVERMIND - Work It *** Olive Anguz - Batida Viva *** FOVOS - Move That Shit *** SHVDZ - MFKN *** Wasback - Unz Unz *** Nicolas Julian & AENJAY - Hit The Floor *** Dimitri Vegas & Like Mike, Marlon Hoffstadt & DJ Konik - Makina Time *** The Rocketman - Bounce Like That

Le mix de KSHMR dans 103 Klubb le 14 Février 2026 de 20H à 21H Tracklist: OTIOT, BEMET - Sinai *** Bedouin, Hiya - Salaam *** Alvek - Rouse *** ASHER SWISSA, T-Puse - Halfa *** Zafrir - Ariana *** Vion Konger x Skytech - Zoom *** Gordo & Reinier Zonneveld - Loco Loco *** David Guetta vs Benny Benassi - Satisfaction (with KASIA, Moonphazes, Majewski) *** Alesso & Pendulum - Fade *** KSHMR & Sam Feldt - Pretender *** Panjabi MC, SANJAY, Glory Bawa - Bawa Boli *** Argy, Omnya - Aria (Omiki Remix) *** Lilly Palmer, Space 92 - Vicious Chords *** ALAN SHIRAHAMA & Komb - Hellhole *** KSHMR & MEMBA feat. DEV - Bass Down Low (Trap Version)

FHSMUN 47 - COPUOS - Creating a Framework to Resolve Space Territory Disputes by FHSMUN, Inc.

In The Space Between, we will explore what it means to live faithfully in the midst of change, honoring what has shaped us, telling the truth about what we are experiencing now, and opening ourselves to what can be. Together, we will learn how to move forward without losing ourselves—or one another.

Space is silent, but the moons are screaming. To capture the music of the spheres, you have to be willing to listen to the emptiness.In this episode, we sit down with world-renowned composer Amanda Falkenberg to discuss 'The Moon's Symphony. We bridge the gap between NASA's data and the human spirit. We explore how a specialist takes the 'Gory' chaos of planetary collision and turns it into a mathematical, musical masterpiece. A work inspired by The Crescent Moon. The orbit is set. The episode is live. Step into the void.Amanda Falkenberg Link:https://www.moons-symphony.com/gateway-to-lunar

Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Welcome back to Warehouse and Operations as a Career. I'm Marty, and today we're talking about a piece of equipment that almost everyone in our industry recognizes, but not everyone fully understands it. If you're a long time listener you'll remember I spent about 6 years operating it on the 2nd shift, in the outbound operations within the food service distribution arena. We're going to talk about the cherry picker today. Now its proper name, or if your ordering one from the manufacturer, it'll be referred to as an order picker. This machine helped shape the modern warehouse, the newer e-commerce departments, and really, distribution as a whole. It's increased productivity, allowed us to build higher racking, with many more selection slots, helping reduce the buildings footprint, reducing the cost of real-estate needed. But it's also one of the most unforgiving pieces of equipment to operate. So today, I want to really walk through where the order picker came from, why it exists, what it's good at, where and what it struggles with, how it's used, and most importantly, the dangers, limitations, and responsibility that come with it. This isn't just about the equipment. And I know I harp on it, but it's about our mindset, maturity, and our career. And you ought to know, I'm going to take this opportunity to again stating that you should never get on or even touch a piece of equipment or machine that you have not been trained and certified to be on. Now that all that’s out of the way, let’s talk about the cherry picker! Believe it or not, the cherry picker didn't start in a warehouse. Its earliest versions were used in agriculture, specifically for harvesting fruit. Farmers needed a way to lift workers safely into trees so they could hand-pick produce without ladders or unsafe climbing. The concept was simple, instead of bringing the fruit down, bring the worker up. As warehousing evolved, especially in the mid-20th century, that same idea became essential indoors. Warehouses started growing up instead of out. Land became expensive. Inventory counts increased. SKU or item counts exploded. Full pallets weren't always the answer anymore. Traditional forklifts could move pallets just fine, but they couldn't safely lift people to pick individual cases. And that's where the order picker was born. By combining a powered industrial truck with an elevated operator platform, warehouses could store product higher, pick individual cases efficiently, reduce walking and ladder use, and dramatically increase picking productivity. Over time, these machines were refined with better controls, safety systems, harness requirements, and more stable designs. What we ended up with is one of the most productive, and demanding machines in the building. The defining feature of an order picker is simple but powerful, the operator rises or goes up in the air, up to the higher pick slots with the platform and forks, with a pallet usually. And that changed everything. Instead of pulling pallets down to floor level or relying on ladders and mezzanines, the operator works directly at the pick face or pick slot. Here's why that matters. First, vertical access. Order pickers allow warehouses to fully utilize high-bay racking. Space that would otherwise be wasted becomes valuable inventory real estate. Second, case-level picking. This machine is built for piece and case selection, not full pallet movement. That makes it ideal for retail, grocery, and e-commerce operations where accuracy matters as much as or more than speed. Third, productivity and accuracy. A trained operator following a clean pick path can maintain a strong cases-per-hour average while reducing errors, with less walking, less searching for the product, less backtracking. And fourth, when used properly, reduced physical strain. The machine does the lifting, not the operator. No constant ladder climbing. No unsafe stretching to reach the product. And no carrying cases long distances. But, and this is a biggie, all of those benefits only exist when the equipment is used correctly and the warehouse is layed out and slotted properly. It needs to be said that order pickers are a specialized piece of equipment. They are not one-size-fits-all machines. They perform best in the high-bay warehouses, and narrow-aisle configurations. They require clean, dry, flat floors, and facilities with defined pick paths and in operations with high SKU and item counts. They are common in retail distribution centers, grocery warehouses and those large e-commerce fulfillment operations. They are not ideal for outdoor use, on uneven or damaged flooring, and up front in our dock areas or congested pedestrian zones and walkways. If your facility isn't designed for elevated picking, an order picker becomes more risk than reward. Now we get to the part that separates training from experience. The order picker is one of the most dangerous pieces of equipment in the warehouse if misused. The biggest risk is obvious, falls from height. That's why harnesses and are not optional and why lanyards must be properly anchored and why gates must be closed before elevation. A fall from an order picker is rarely a minor incident. It's usually life-altering or worse. Another major risk is stability. Order pickers are designed to lift vertically, not travel or turn at height. Sudden movements, improper positioning, or failure to fully lower before traveling can and will create serious tip-over hazards. Then there are the pinch points and struck-by hazards. Operators work inches from steel racking, the beams, and product. One moment of distraction can result in crushed fingers, head injuries, or worse. And I want to point out, one of the most common unsafe behaviors, and that is overreaching. Instead of repositioning the truck, operators may stretch just a little farther. That's when our balance can be or is lost, and that's when falls happen. Your machine will always win that fight. A professional order picker operator follows a rhythm and the rules. It starts with his or her pre-shift inspection. Brakes, tires, controls, mast, chains, horn, lights, harness, and lanyard. This isent just more paperwork or a law, it's self-preservation! Mounting the platform means three points of contact. Harness on. Lanyard secured and the gate closed and latched. Traveling means forks down, eyes up, horn used when needed, and awareness of surroundings. When elevating, the operator is square to the rack, lifts smoothly, and keeps their body inside the platform. No leaning and no shortcuts. After the pick is completed, the platform comes all the way down before travel every time. That consistency, following the procedure is what prevents injuries. Lets see, what else, uh, let’s talk about some of the controls. Theres several different models but most order pickers share common controls, forward and reverse travel, lift and lower, steering controls, a horn, an emergency stop, a deadman switch, and a battery indicator, and a pallet clamp or pallet grab vice. A trained operator doesn't just know what each control does. They know to use them. It's important to understand that training is not optional. Operating an order picker is not a right, and it's a lot of responsibility. Of course that proper training includes classroom instruction, demonstration of the controls and handling, a hands-on evaluation, a review of the site-specific hazards and the observation and certification. Our powered industrial truck training or PIT training. And here's another opportunity for me to state to never, ever, get on or touch a piece of equipment or machine that you've not been trained or certified to be on or operate! And remember that authorization can be removed if unsafe behavior is observed or we don't act and operate it responsibly, and that's not punishment, that's our own fault and for our own good and the good of others. Because the goal isn't speed. The goal is going home. Here's the bigger takeaway. The order picker rewards discipline, patience, awareness and respect for process and position. By the way, those same traits are what make great leads, supervisors, and managers. People who master this equipment often become the people others trust because they understand the consequences. The cherry picker teaches you that rushing doesn't save time. Shortcuts don't make you efficient and safety isn't a rule, it's a responsibility. I loved my time on the cherry picker, it is one of the most powerful tools in the warehouse and one of the most dangerous when disrespected. The difference in those two statements isn't the machine. It's the operator. I always love talking about the many different pieces of equipment and the machines we use in our industry. If you have any positions or tools used in the light industry world, shoot us an email to host@warehouseandoperationsasacareer.com or post a comment on our Facebook page using @whseops, or hit us up on Instagram at waocpodcast and I'll do my best to find us an answer! Well, I hope you enjoyed today’s episode and thanks for spending your time with us, and I'd appreciate it if you'd share the show with a friend or two! Remember to respect our equipment, to be safe at all we do, and that we have others depending on us and waiting for us to return home each day! Y'all be safe out there!

How has your relationship with your audience changed? What's a good lie to tell my coworkers about my butt surgery? Has anyone ever tasted the moon? What's the highest altitude we have ever recorded a cloud? How long do I have to sit in the bath to touch every molecule of water? What is the value of a single shoe? How do I handle the information that we might live in a black hole? …Hank and John Green have answers!If you're in need of dubious advice, email us at hankandjohn@gmail.comJoin us for monthly livestreams at patreon.com/dearhankandjohnProduced for Hank and John Green by ComplexlySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on Planetary Radio, we mark a major leadership transition at The Planetary Society. Host Sarah Al-Ahmed sits down with Bill Nye, outgoing chief executive officer and newly appointed chief ambassador of The Planetary Society, and Jennifer Vaughn, incoming chief executive officer and former chief operating officer, for a candid conversation about this long-planned transition. Together, Bill and Jenn reflect on how the organization, under their shared leadership, grew into the world’s largest and most effective nonprofit dedicated to advancing the scientific exploration of space. Then, Bruce Betts, chief scientist of The Planetary Society, joins Sarah for What’s Up. They discuss an upcoming planetary alignment on and around February 28, 2026. Discover more at: https://www.planetary.org/planetary-radio/2026-jennifer-vaughn-ceoSee omnystudio.com/listener for privacy information.

What if the loudest stories about the future—AI gods, Mars colonies, digital immortality—aren't science at all, but science fiction masquerading as inevitability? In this episode of The Radical Candor Podcast, Kim Scott and Amy Sandler are joined by science journalist and astrophysicist Adam Becker (PhD in computational cosmology), author of More Everything Forever. Adam breaks down the “big three” myths that dominate Silicon Valley's imagination: space colonization, superintelligent god-like AI, and the singularity. He explains why both the utopian and apocalyptic versions of AI stories often share the same assumption—unimaginable AI power—and why that assumption doesn't match reality. They also explore the deeper pattern underneath these myths: the belief that every problem can be solved with technology (usually computer technology), even when the barriers are political and social—collective action, persuasion, solidarity, and power. Along the way, Adam shares how he stayed sane while writing about “seriously disturbing ideas,” and why reconnecting with the natural world (and real human relationships) is a necessary antidote to screen-mediated life. If you've ever felt overwhelmed by the “AI will save us” vs. “AI will doom us” debate, this conversation offers a clearer, more grounded frame—and a reminder that being human matters. ⁠⁠⁠⁠Website⁠⁠⁠⁠ ⁠⁠⁠⁠Instagram⁠⁠⁠⁠ ⁠⁠⁠⁠TikTok⁠⁠⁠⁠ ⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠ ⁠⁠⁠⁠YouTube⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠ Resources for show notes: ⁠Adam Becker's website⁠ ⁠More, Everything, Forever book page⁠ ⁠Adam Becker on Star Talk podcast⁠ ⁠Dave Troy presents: Understanding TESCREAL with Dr. Timnit Gebru and Émile Torres⁠ ⁠Why Silicon Valley's Most Powerful People Are So Obsessed With Hobbits⁠ Referenced in conversation: Blade Runner (as an example of dystopian sci-fi being misunderstood) Star Wars / Jabba the Hutt (as an example of misreading stories) Lord of the Rings / Palantír (as a cautionary reference) Jurassic Park (“they didn't stop to consider whether they should”) Public libraries (as a civic good worth supporting) Chapters: (00:00) Introduction Kim and Amy welcome Adam Becker to unpack Silicon Valley's stories about the future. (06:06) The Myths Driving Tech Ideology Space colonization, superintelligent AI, and the singularity—and why they don't hold up. (11:52) When Sci-Fi Turns into Strategy How dystopian stories get misread as roadmaps (Palantir, “Torment Nexus,” and more). (15:06) More Everything Forever Why endless expansion feels inevitable in tech—and why Adam argues it's flawed. (21:24) “Can” vs. “Should” Why tech leaders dodge both questions—and what that reveals about power. (23:19) You Can't Escape Politics by Going to Space Why “Mars as a reset button” is a fantasy—and politics follows humans everywhere. (33:22) AI Doom vs. AI Utopia Why both narratives rely on the same shaky assumption about “AGI.” (37:21) Solidarity as a Counterbalance Why labor organizing matters when leadership values diverge from workers' values. (41:02) “AGI Will Fix Climate” Why betting on future AI while burning more energy now is a dangerous logic trap. (01:03:50) Conclusion Learn more about your ad choices. Visit megaphone.fm/adchoices

In the middle of the week, it’s easy to become aware of our emotionally, spiritually, physically, and feel unsure where to bring it. This short midweek prayer invites you to pause, breathe deeply, and return your attention to Jesus, who calls Himself the Bread of Life. Drawing from John 6:32–36, this prayer creates space to name the places where you feel hungry, weary, or longing and In Scripture, God provided daily bread for His people in the wilderness just enough for each day. In the same way, Jesus offers Himself to us now. Not always for tomorrow. Not always all at once. But faithfully, for today. This prayer is a gentle reminder that Jesus is enough for your real, present needs. Take a few quiet minutes to refocus your heart and mind on Him, and to rest in the truth that you are held, seen, and cared for. Download your FREE Companion Journal Here I AM: A Lenten Journey with Jesus This journal includes:• Each week’s Scripture passage• Reflection prompts from the meditations• Space to journal, pray, and notice what God is revealing Here are some additional helpful links: Learn more about Jodie:http://www.jodieniznik.com Follow on Instagram:@jodieniznik Follow on Facebook:@JodieGNiznik Join the Monday email newsletter for new meditations, HERE Explore other faith-centered podcasts from LifeAudio:https://www.lifeaudio.com Today’s Scripture John 6:32–35 (NLT) 32 Jesus said, “I tell you the truth, Moses didn’t give you bread from heaven. My Father did. And now he offers you the true bread from heaven.33 The true bread of God is the one who comes down from heaven and gives life to the world.” 34 “Sir,” they said, “give us that bread every day.” 35 Jesus replied, “I am the bread of life. Whoever comes to me will never be hungry again. Whoever believes in me will never be thirsty.” If you are helped by these meditations, consider sharing them with a friend or leaving a review. Simple acts like these help create space for more people to slow down and listen. Thank you for joining me on So Much More.We really do believe Jesus has so much more to say to us—and this is one way we are creating space to listen. Learn more about Every Woman’s Bible today by visiting: https://hubs.la/Q041HkRL0 Discover more Christian podcasts at lifeaudio.com and inquire about advertising opportunities at lifeaudio.com/contact-us.

Astronomers just found something cool!  Typically, most Sun-like stars host planets between the size of Earth and Neptune called 'super-Earths' or 'sub-Neptunes'. These planets often orbit their stars even closer than Mercury orbits our Sun. They're mostly rocky super-Earths or they have a thick atmosphere and a rocky core and are sub-Neptunes. They're the most common types of planet found in our Galaxy. And yet, astronomers weren't sure exactly how these planets formed.  So yeah, they found something cool!    We've added a new way to donate to 365 Days of Astronomy to support editing, hosting, and production costs.  Just visit: https://www.patreon.com/365DaysOfAstronomy and donate as much as you can! Share the podcast with your friends and send the Patreon link to them too!  Every bit helps! Thank you! ------------------------------------ Do go visit http://www.redbubble.com/people/CosmoQuestX/shop for cool Astronomy Cast and CosmoQuest t-shirts, coffee mugs and other awesomeness! http://cosmoquest.org/Donate This show is made possible through your donations.  Thank you! (Haven't donated? It's not too late! Just click!) ------------------------------------ The 365 Days of Astronomy Podcast is produced by the Planetary Science Institute. http://www.psi.edu Visit us on the web at 365DaysOfAstronomy.org or email us at info@365DaysOfAstronomy.org.

Tim and Frank return to the cantina to talk space macaroons, universal dessert laws, and why you should watch The Mandalorian & Grogu trailer twice. Cheers! Beers of the Week Stoneface Sunday Sauce Italian Style Pils Champlain Orchards Kingston Dry Cider

Today's Poll Question at Smerconish.com: Do you agree with President Obama who says "The odds are good that there's life out there...but... the chances we've been visited by aliens is low"? After former President Obama reignites curiosity about extraterrestrial life in a recent podcast interview, Michael revisits the alien question through the lens of skepticism, science, and personal experience. Featuring insights from skeptic Michael Shermer and a personal, memorable Oval Office moment involving the “Book of Secrets,” this episode separates the probability of life elsewhere in the universe from claims of UFO visits and government cover-ups. Is believing in alien life reasonable—and is believing they've been here a bridge too far? Cast your vote and join the conversation, and please rate, review, and share this podcast! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Fan Mail: Tell Wendy how you're saying yes to yourself!Space to Dream: Retreats Around the WorldA dreamy half-day, in-person workshop experience designed to help you step out of the noise and into your next yes. City dates & registration now open! Select your retreat here.Or, if you'd prefer to be held in the beautiful, spacious energy of the Phineas Wright House, book a Space to Dream Solo Retreat here.In this episode, Wendy sits down with Dr. Brandy Stamper, author of Bridge the Purpose Gap and a recovering people-pleaser who knows that self-awareness without action keeps you stuck. Brandy uses the Enneagram and Human Design to help women build a blueprint for their lives, because understanding yourself is just the beginning. The real work is turning insight into action. They explore:Why self-awareness without action keeps you stuck, and how to bridge that gapHow your Enneagram type determines the kind of boundaries you needWhy breaking even small generational patterns creates massive impact for the people you loveThis is a conversation about guilt, grace, and designing a life that's built for who you actually are, not who you think you should be. Press play and discover why understanding yourself is just the beginning.Connect with Brandy:BrandyStamper.comInstagram @coachbrandystamperFacebookLinkedInGet her book: Bridge the Purpose GapReferenced in this Episode:The Numerology of Endings and Renewal | Dina BerrinCoffee Chat with Dina Berrin________________________________________________________________________________________ Connect with Wendy: LinkedinInstagram: @phineaswrighthouseFacebook: Phineas Wright House Website: Phineas Wright House PWH Farm StaysPWH Curated Experience and Travel Interested in being a guest on the show? Send your pitch to podcast@phineaswrighthouse.com Podcast Production By Shannon Warner of Resonant Collective Want to start your own podcast? Let's chat! If this episode resonated, follow Say YES to Yourself! and leave a 5-star review. It helps more women in midlife discover the tools, stories, and community that make saying YES not only possible, but powerful.

Most politicians talk about reform, but there are very few who actually pick up a shovel and start filling potholes themselves. And in the case of Panama City's Mayor, Mayer Mizrachi, he's done exactly that.  In today's episode, I'll share with you the story of Panama City's young, savvy, crypto-friendly Mayor. He's no career politician, not by a longshot. He's a tech entrepreneur and a former political prisoner. Now, he's reshaping one of Latin America's most strategic capital cities with a pro-business, pro-Bitcoin, “roll up your sleeves and get it done” mindset. Enjoy today's episode! IN TODAY'S EPISODE Listen in as I break down how Mayer Mizrachi went from tech entrepreneur and political outsider to Mayor of Panama CityTune in to learn how he cut the city budget from $325M to $230M while slashing nearly half the staffFind out why Mizrachi sees crypto not as ideology, but as infrastructureLearn, under Mizrachi, Panama City  is positioning itself as a forward-looking hub for technology, capital, and innovation STAY IN TOUCH! Stay informed about the latest news affecting the expat world and receive a steady stream of my thoughts and opinions on geopolitics by subscribing to our newsletter. You will receive the EMS Pulse® newsletter and the weekly Expat Sunday Times; sign up now and receive my FREE special report, “Plan-B Residencies and Instant Citizenships.”   WEALTH, FREEDOM & PASSPORTS CONFERENCE, MARCH 6-7, 2026 Join us in Panama City from March 6-7, 2026, for our second annual in-person event, the Wealth, Freedom and Passports Conference! Space is very limited, so reserve your tickets right away. RELATED EPISODES 393: Panama: Why Timing Matters More Than Ever for Residency 387: The Leaders Shaping Latin America's Shift Toward Freedom 384: President José Raúl Mulino: Panama's Adult in the Room