Podcasts about Swapping

Subscribe to DTC Newsletter - https://dtcnews.link/signupMost brands are quietly killing themselves with growth hacks. Swapping button colors, chasing this week's ROI, discounting to hit the number.Duncan, Strategy Lead at Pilothouse, makes the case that this is the worst creative strategy there is, and walks through what actually builds a brand that lasts.Duncan runs strategy at Pilothouse, where brand and performance are treated as one system instead of warring departments. He explains why Meta's Andromeda shift is quietly ending the era of high-volume AI slop creative, and what replaces it.What you will learn:Why the growth-hack mentality leads to a discount death spiral and erodes brand valueWhat Meta's Andromeda infrastructure changed, and why it forces advertisers toward thoughtful creative over high-frequency iterationHow to integrate brand and performance instead of picking oneWhy siloed agencies fight over attribution while the customer journey falls through the cracksThe one question to ask any agency before you hire them: "Where will growth come from this year?"Who this is for: DTC founders, brand and growth leads, and anyone choosing between agencies or trying to make brand and performance work together.What to steal: the agency-selection test. If a partner can only answer with optimizations, they are a vendor. If they can tell you where growth comes from this year, they are a strategist.Timestamps:00:00 Why Growth Hacking Is Breaking Brands03:00 Meta Andromeda Changed Creative Strategy06:00 The Problem With Optimizing Only for ROAS12:00 Building Customer Journeys Beyond Attribution20:00 Measuring Channels by Their Actual JobSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF619Follow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

What happens when a data-driven nutrition scientist sits down with one of the wellness world's biggest advocates for whole-food living and tackles some of the most controversial nutrition debates head-on? In this powerful and nuanced conversation, Darin Olien welcomes naturopathic doctor, researcher, educator, and science communicator Dr. Matthew Nagra for an evidence-based exploration of plant protein, muscle growth, fiber, seed oils, saturated fat, nutrition misinformation, social media influencers, and the future of nutritional science. Together they unpack why outcomes matter more than mechanisms, why plant proteins perform just as well as animal proteins for strength and muscle gain, the truth about seed oils and omega-6 fats, the overwhelming evidence supporting fiber consumption, and how people can learn to evaluate nutrition claims more critically in a world flooded with misinformation. This episode is a masterclass in scientific literacy, critical thinking, and practical nutrition. What You'll Learn Why plant protein performs just as well as animal protein for muscle growth The difference between nutrition mechanisms and real-world outcomes How social media amplifies nutrition misinformation Why Dr. Nagra began challenging viral dietary myths The strongest evidence supporting plant-based nutrition What the research actually says about seed oils The truth behind omega-6 to omega-3 ratios Why beef tallow isn't the miracle food social media claims How fiber may be the most important nutrient most people ignore What the Plant-Based Diet Index reveals about longevity The Stanford twin study and what it found about plant-based diets How to become more scientifically literate in a confusing nutrition landscape Chapters 00:00:00 – Welcome to SuperLife 00:00:33 – Sponsor: Tru Niagen and the science of NAD+ 00:02:37 – Introducing Dr. Matthew Nagra 00:03:22 – Why nutrition misinformation spreads so easily 00:05:15 – Matthew's mission to bring scientific literacy to nutrition 00:06:27 – Seeing the real-world consequences of viral health advice 00:07:03 – Why social media nutrition myths affect actual patients 00:08:06 – The evolution of nutrition science over the last decade 00:08:32 – Plant protein versus animal protein: where the debate began 00:09:17 – Essential amino acids and protein quality explained 00:09:40 – Why combining plant foods solves amino acid concerns 00:09:57 – Digestibility scores and the reality of protein absorption 00:10:36 – The landmark vegan versus omnivore muscle growth studies 00:11:15 – Why outcomes matter more than mechanisms 00:11:44 – The exercise analogy that explains nutrition science 00:12:30 – Social media fearmongering around lectins, oxalates, and plants 00:13:05 – Do nutrition influencers actually believe what they promote? 00:14:27 – The dangers of extreme dietary ideology 00:15:19 – Health misinformation versus harmless misinformation 00:16:01 – Why poor dietary choices can take decades to show consequences 00:16:27 – Sponsor: Fatty15 00:20:08 – Human adaptability and delayed health consequences 00:21:29 – Darin's vision for a more plant-forward future 00:22:17 – Plant-based momentum, backlash, and social narratives 00:23:14 – Media influence and public confusion around nutrition 00:24:14 – Why "just eat more plants" remains powerful advice 00:25:09 – How Matthew helps people understand scientific research 00:25:45 – "Doctor Nagra cured my science illiteracy" 00:26:12 – The power of live nutrition debates 00:27:16 – Why real-time debates reveal weak arguments 00:27:43 – Today's hottest nutrition controversies 00:28:07 – Ultra-processed foods and the growing nuance in the discussion 00:29:01 – What actually makes a food ultra-processed? 00:29:29 – Saturated fat, butter, and beef tallow 00:29:55 – The Minnesota Coronary Experiment controversy 00:31:13 – Cherry-picking studies versus evaluating the full body of evidence 00:32:03 – Why polyunsaturated fats continue to show benefits 00:32:38 – The strongest arguments for eating more plants 00:33:01 – Why fiber may be the most powerful nutrient in nutrition 00:33:42 – Patreon break 00:35:15 – The Plant-Based Diet Index explained 00:35:51 – Swapping animal protein for plant protein and reducing mortality risk 00:36:31 – Matthew's personal journey into plant-based nutrition 00:37:28 – Losing weight and improving asthma through dietary change 00:38:23 – Going fully plant-based and staying consistent 00:39:02 – The influence of Earthlings and animal ethics 00:40:14 – Commitment, discipline, and lifestyle change 00:41:05 – Following the evidence wherever it leads 00:42:08 – Being wrong, learning, and improving scientific understanding 00:42:49 – The joy of dissecting studies and uncovering nuance 00:43:39 – Checking bias and evaluating animal-food research fairly 00:45:37 – Environmental contaminants and modern food systems 00:45:58 – Matthew's 40,000-word seed oil review 00:46:48 – How seed oils are actually processed 00:47:26 – Bleaching, refining, and common misconceptions 00:47:58 – Omega-6 fats and inflammation myths 00:48:43 – The omega-6 to omega-3 ratio debate 00:49:24 – Why increasing omega-3s matters more than avoiding omega-6s 00:50:08 – Hexane, chemical extraction, and seed oil safety 00:51:11 – Beef tallow's resurgence and why it's happening 00:52:07 – What the evidence says about saturated fat 00:52:50 – Chocolate, stearic acid, and cardiovascular health 00:55:27 – New research on plant-based diets and biological aging 00:55:56 – Meeting Stanford researcher Christopher Gardner 00:56:33 – The Stanford twin study on plant-based eating 00:57:23 – Common criticisms of the twin study 00:58:03 – Funding accusations and scientific credibility 00:59:12 – Matthew's daily routine and nutrition habits 01:00:03 – How he tracks new nutrition research every morning 01:00:47 – Training, recovery, and building muscle on plants 01:02:13 – Soccer, strength training, and athletic performance 01:03:10 – Lane Norton, nutrition debates, and professional disagreement 01:04:22 – The future of nutrition communication and public education 01:05:00 – Final thoughts on evidence, health, and helping people think critically Thank You to Our Sponsors Truniagen: Go to www.truniagen.com and use code DARINOLIEN20 at checkout for 20% off Fatty15: Get an additional 15% off their 90-day subscription Starter Kit by going to fatty15.com/DARIN and using code DARIN at checkout. Join the SuperLife Community Get Darin's deeper wellness breakdowns — beyond social media restrictions: Weekly voice notes Ingredient deep dives Wellness challenges Energy + consciousness tools Community accountability Extended episodes Join for $7.49/month → https://patreon.com/darinolien Find More from Dr. Matthew Nagra Website: drmatthewnagra.com Instagram: @dr.matthewnagra Book an Appointment Here! Download: Free Cholesterol Guide Find More from Darin Olien: Website: darinolien.com Instagram: @darinolien Book: Fatal Conveniences Platform & Products: superlife.com New Show: Roadmap to Happiness Key Takeaway "The most valuable nutrition skill in today's world may not be knowing what to eat—it's knowing how to think. In an age of viral misinformation, cherry-picked studies, and extreme dietary tribes, the ability to evaluate evidence, understand nuance, and focus on real-world outcomes becomes a superpower. The strongest dietary patterns consistently point in the same direction: more whole plant foods, more fiber, less dogma, and a commitment to following the evidence wherever it leads."  

In this episode, Annika Theodoulou speaks to Dr Vera Buss, a Senior Research Fellow at University College London, and Professor Leonie Brose, a Professor of Addictions & Public Health at King's College London, UK. The interview covers Vera and Leonie's research article examining the association between the national ‘Swap to Stop' programme offering free vapes for smoking cessation and quit attempts in England.Background on the Swap to Stop program in England [01:10]The motivations behind the study [01:50]The Smoking Toolkit Study and using an Interrupted Time Series Analysis [03:00]The key findings of the study [04:50]The factors which Vera and Leonie adjusted for [07:00]The policy landscape in England regarding vaping as a smoking cessation aid [07:41]What can other countries learn from the findings [09:12]The surprising results of this study [09:50]The implications of the findings for policy and practice [10:36]About Annika Theodoulou: Annika is a Research Fellow at the National Centre for Education and Training on Addiction at Flinders University, South Australia. Her work focuses on health behaviours, including smoking cessation and weight management, with an emphasis on evidence synthesis. She completed a Doctor of Philosophy in Primary Health Care at the University of Oxford, where her research examined socioeconomic inequalities in smoking cessation behaviours and outcomes using quantitative and qualitative methods. Her doctoral research was funded by the Society for the Study of Addiction and The Rotary Foundation. Annika is an Associate Editor of Nicotine & Tobacco Research and holds a Bachelor of Health Sciences and a Master of Clinical Science from the University of Adelaide.About Vera Buss: Vera is a Senior Research Fellow in Behavioural Science at the UCL Tobacco and Alcohol Research Group and part of the Behavioural Research UK consortium. Her research focuses on understanding and monitoring tobacco smoking and alcohol consumption across Great Britain, drawing on the Smoking and Alcohol Toolkit Studies to evaluate national policies and population‑level behaviour change. Alongside her research, Vera co‑leads undergraduate and postgraduate teaching on health psychology and statistics for public health.About Leonie Brose: Leonie is Professor of Addictions & Public Health at King's College London and Director of the National Institutes for Health and Care Research (NIHR) Policy Research Unit in Addictions. Most of Leonie's research has focused on tobacco control, smoking cessation, smoking and mental health and newer nicotine products and she has co-authored six government-commissioned reviews on vaping. Leonie is active in the Society for the Study of Addiction, the Society for Research on Nicotine and Tobacco and its European chapter. She also contributes as an Editorial Board member for Addiction and Nicotine & Tobacco Research and as Programme Lead for the MSc Addictions at King's. Leonie is an Associate Editor for Addiction and a Trustee for the SSA.Original article: Associations between the national ‘Swap to Stop' programme offering free vapes for smoking cessation and quit attempts in England: Results from a population-based survey https://doi.org/10.1111/add.70332The opinions expressed in this podcast reflect the views of the host and interviewees and do not necessarily represent the opinions or official positions of the SSA or Addiction journal.The SSA does not endorse or guarantee the accuracy of the information in external sources or links and accepts no responsibility or liability for any consequences arising from the use of such information.Music by Jack Shakespeare Hosted on Acast. See acast.com/privacy for more information.

I had such a great conversation with Gina Cotner, founder and CEO of Athena Executive Services, and I have a feeling this one is going to hit home for a lot of you.If you have ever told yourself, it is just easier to do it myself, you are in good company. I have said that more times than I can count. But Gina made me see that the resistance we feel around delegation is not really about the task. It is about trust, and trust is built through relationship.Gina started Athena Executive Services 10 years ago after a somewhat unexpected path that led her from being an executive assistant herself to building a firm that now pairs high-caliber, US-based virtual executive assistants with busy entrepreneurs and executives across the country. She now runs the whole operation in about 10 hours a week, and she is living proof that when you delegate well and lead with genuine care for the people around you, you get your life back.What I loved most about this conversation was how Gina connected the dots between delegation and accountability. Most of us think of those as two separate challenges. Gina sees them as deeply linked, and the thread running through both is the quality of the relationship.Key TakeawaysBetter done than perfect. The 80 percent rule is your friend. If someone can get a task 80 percent done while you focus on something else, that is a win worth taking.When you delegate, make it theirs. Gina's approach is to hand over the outcome, not the steps. Tell someone where you want to end up and then ask, what do you need from me? That simple shift puts the thinking where it belongs.Relationship is what makes accountability possible. The richer your background of connection with someone, the easier it is to hold them to their commitments without it feeling like an attack. Gina puts it simply: you are addressing their actions, not them as a person.Ask what, not anything. The word what opens a conversation. The word anything shuts it down. Swapping one for the other changes the quality of every check-in you have with your team.Start somewhere, even small. You do not need a full executive assistant to begin delegating. Make a list of the rote tasks you do every week and find one thing to hand off. Even one hour of relief matters.You can find Gina at: athenaexecutiveservices.com or on LinkedIn at: www.linkedin.com/in/athenaeaIn appreciation for being here, I have some gifts for you:A LinkedIn Checklist for setting up your fully optimized Profile:An opportunity to test drive the Follow Up system I recommend by checking this presentation page - you won't regret it. AND … Don't forget to connect with me on LinkedIn and be eligible for my complimentary LinkedIn profile audit – I do one each month for a lucky listener!Connect with me:http://JanicePorter.comhttps://www.linkedin.com/in/janiceporter/https://www.facebook.com/janiceporter1https://www.instagram.com/socjanice/Thanks for listening!Thanks so much for listening to our podcast! If you enjoyed this episode andthink that others could benefit from listening, please share it using the socialmedia buttons on this page.Do you have some feedback or questions about this episode? Leave a note inthe comment section below!Subscribe to the podcastIf you would like to get automatic updates of new podcast episodes, you cansubscribe to the podcast on Apple Podcasts or your favorite podcast app.Leave us an Apple Podcast reviewRatings and reviews from our listeners are extremely valuable to us andgreatly appreciated. They help our podcast rank higher on Apple, whichexposes our show to more awesome listeners like you. If you have a minute,please leave an honest review on Apple Podcasts.

Hour 2 begins with the Marc Cox Shortlist, where Marc discusses the Trump/MAGA and Nazi comparison and more of today's top stories. ICE Detention Facilities hold detainees in far better condition than previously thought. We hear the St. Louis Morning Brief, where Dan Buck delivers the top STL stories of the day. John Lamping, Former Missouri Senator, joins the show to discuss what is coming to the ballot in the upcoming election. We round the hour out with 'In Other News.'

Most of us have our smartphones on our person more or less all day, every day. Our photos, payment methods and a lot of personal data are stored on them. So we're all wary of the risk of having them stolen when out in public. But did you know there's another way someone can take control of your phone line without you even losing the device? It's called sim swapping and while it's not new, it's been on the rise in recent years. According to the FBI, Americans lost a combined $68M to sim swapping scams in 2021. One of the most high-profile examples saw Twitter founder Jack Dorsey fall prey to it in 2019. How does SIM swapping work? How can I avoid falling victim to SIM swapping? In under 3 minutes, we answer your questions! To listen to the last episodes, you can click here: ⁠⁠⁠What are the pros and cons of homeownership in the UK?⁠⁠⁠ ⁠⁠⁠How can I make and keep my new year's resolutions?⁠⁠⁠ ⁠⁠⁠Why does the year begin on January 1st?⁠⁠⁠ A podcast written and realised by Joseph Chance. First broadcast : 7/5/2023 Learn more about your ad choices. Visit megaphone.fm/adchoices

As Eat Local Month approaches, Dean & Sofie on 4BC Breakfast chat with local business owner Jools about her innovative e-bike picnic hustle on Mount Tamborine. The discussion covers the 15-year journey to launch the business, its massive popularity with Brisbane day-trippers, and the community spirit of the upcoming festival.See omnystudio.com/listener for privacy information.

Lisa looked down on swingers and now she's couple swapping with her husband. Tune in to hear al the details including how she was very into being monogamous and really looked down on swingers, how she initially judged them and how and why her curiosity eventually led to her and her husband looking into swinging, the Facebook swinger group she joined and the woman she me up with who helped open her mind up even more, how and when they wound up having sex on video with the woman and her husband and how they felt about it, how putting mirrors in their bedroom also changed the game for them, he lifestyle cruise they went to on and what they experienced while on it, the demographics of the people that were there, how and why after the cruise she was suddenly turned off again and not into swinging, how and when she got her back into it and the first couple they met on an app and what the set out to do with them, the rules they had going in and exactly what went down, how they both felt watching each other with other people, their reclaiming sex and how they both felt looking back, what they want to do in the future plus a whole lot more. GET A COPY OF THE STRICTLY ANONYMOUS BOOK! Strictly Anonymous Confessions: Secret Sex Lives of Total Strangers. A bunch of short, super sexy, TRUE stories. GET YOUR COPY HERE: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/4i7hBCd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  or Pre-order audiobook version ⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠   To see HOT pics of LISA & HER HUSBAND plus my other female guests + hear anonymous confessions + get all the episodes early and AD FREE, join my Patreon! It's only $7 a month and you can cancel at any time. You can sign up here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/StrictlyAnonymousPodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and when you join, I'll throw in a complimentary link to my private Discord!  To join SDC and get a FREE Trial! click here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sdc.com/?ref=37712⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or go to SDC.com and use my code 37712  Want to be on the show? Email me at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠strictlyanonymouspodcast@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.strictlyanonymouspodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and click on "Be on the Show." Want to confess while remaining anonymous? Call the CONFESSIONS hotline at 347-420-3579. All voices are changed.   Sponsors:  ⁠https://Rythm.Health/STRICTLYANON⁠ ⁠for 15% OFF your first month ⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://LoadBoost.com⁠ - To get 10% off LOAD BOOST by VB Health, use code: STRICTLY   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://beducate.me/pd2614-anonymous —⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Click here to take the quiz and  get your personalized roadmap to sexual happiness  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bluechew.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ — Buy 2 months of Bluechew GOLD and get the third month FREE! Use code: STRICTLYANON⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.quince.com/strictlyanon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ — For premium quality Quince clothing plus FREE shipping and 365 day returns!  Follow me! Instagram  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/strictanonymous/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ X  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/strictanonymous?lang=en⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.strictlyanonymouspodcast.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Strictlyanonymouspodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Clint, Meg and Dan kick off Tuesday with banter about holidays and tech-challenged parents, including a caller whose mum brought an Apple Watch with the screen hanging off. They play More or Less on extreme city temperatures, share scandal about AI writing and a young actress leaving the HBO Harry Potter series after season one, and discuss a reported leak of Pornhub Premium user data. The team fails to reach a Take the Edge Off My Life winner, then swap stories about broken items “hanging by a thread” and the habit of filling online carts without buying. They try cracking the Neutrogena vault code, talk early job quitters, read Dan’s teen diary, interview viral bridesmaid Georgie Bell about her dress ripping during a worm, and debate A-lister list rankings for Brendan Fraser, Dave Grohl and Snoop Dogg. 00:00 Cold Open and Welcome 02:00 Zoo Animal Naming Update 03:51 Wiggles Tickets and Mum Math 06:53 Boomers vs Tech Callers 10:01 More or Less Weather Quiz 16:28 Naughty 640 20:27 Love on the Spectrum Talent 24:01 Take the Edge Off Calls 27:52 Hanging On By a Thread Hacks 35:38 Play Shopping Confessions 36:24 Abandoned Cart Confessions 37:59 Caller Cart Addiction 39:52 Discount Code Hack 40:38 Neutrogena Vault Challenge 42:51 Ginny Weasley Quits 46:53 Early Quitter Stories 52:03 Dan's Diary Readout 56:00 Viral Wedding Worm 01:06:09 A Lister Rankings

Linoleic acid (LA), a ubiquitous omega-6 fat in Western diets, may directly influence aggressive cancer growth by activating specific cellular pathways, according to recent animal research High levels of LA, found predominantly in ultraprocessed foods, vegetable oils, and many packaged snacks, may contribute to cancer risk The research shows that triple-negative breast cancer (TNBC) cells in animal models thrive on LA because it appears to trigger mTOR signaling, a pathway linked to rapid tumor growth To support cellular health, consider reducing your daily LA intake by less than 5 grams per day by limiting ultraprocessed foods, nuts, seeds, and conventionally raised meats Swapping high-LA foods for more stable, healthier fats and targeted carbohydrates may support energy production and may help lower the inflammatory load that research associates with cancer progression

On today's show: 2026 Season 2 Patch 4 release notes, new scan requests for iRacing, ever hot swapped a wheel mid-race?, we are a week away from the Sim Racing Expo in Charlotte, we are spending Mike's money again, an ambient lights tutorial, the boys from Red Bull have some fun and how much does iRacing actually cost? So sit back, relax and join us on the iRacers Lounge Podcast. iRacers Lounge Podcast is available on iTunes and Apple's Podcasts app, Stitcher, TuneIn, Google Play Music, Spotify, Soundcloud, Podbean, Spreaker, Podbay, PodFanatic, Overcast, Amazon, and other podcast players. Sponsors: Hosts: Mike Ellis – https://x.com/mikedeanellis David Hall – https://x.com/dmixmage Greg Hecktus – twitter.com/froozenkaktus Donnie Spiker – https://www.instagram.com/spikerman19/ Brad Wrenn – https://x.com/bradwrenn John Kerley – https://x.com/KerleyJohnE Justin Pearson – https://www.facebook.com/justin.pearson.5811 Bobby Jonas – https://x.com/bjonas71 William Westbrook – https://www.facebook.com/william.westbrook.35 Kris Randall – https://www.signalcraftstudio.com/ https://www.facebook.com/profile.php?id=61579217706429 Links: Facebook – www.facebook.com/iRacersLounge/ Twitter – twitter.com/iracerslounge Instagram – instagram.com/iracersloungepodcast/ Web (Show Notes) – iracerslounge.com/

Poem by Shirley O'Shea a writer from Carrick-on-Suir and a Teacher of English and German at St. Declan's Community College, Kilmacthomas since 1999. She is an active participant of Poetry Plus in Brewery Lane Theatre. Her poem ‘With Grace and with Gratitude' about Dr. Mary Strangman was published for SETU Blue Plaque unveiling at Carriganore House in Waterford in 2023. This poem and another ‘PJ 07', was shortlisted for the Sean Dunne Literary award in June 2024. Seven Years Transportation (Taken women) I wonder what they saw as they looked back over the stern of the Isabella or Sea Queen? The ships conveying them eleven thousand miles away from home. The convict girls, taken from Waterford city and county. Offenders, mothers, mistresses, daughters, Thievers and givers of food, cloaks and blankets, Swapping petticoats and shawls for a life behind bars and a colony. Culprits adjudged and condemned to Spike Island or Grangegorman, Vagabond girls, subjected to earn their own living in felony, Serving time till their freedom papers and tickets of leave. Risk takers. Lawbreakers. No pardons or pleas. Mary Moon. Deported 1834 The widow Mary stole a kerchief, and her child was taken from her. A convict dressmaker traded in Van Dieman's Island in Tasmania. Hard labour or toil, nor her crude tongue could tame her, The mischievous vixen escaped times over, as a deep poverty mania Drove her forth in her anger and grief. Better than the penalty of death but no less, Not worth the mantilla, or the price she paid too steep. In waters deep. Ellen Lennehan. Deported 1842 Like Mary, Ellen had an eye for the style and fancied a petticoat, That cost her more than the penny she would have paid for it, And a shawl to go with it, pretty slippers, ten more months, was made pay With no conditional or absolute pardon. The shoes she required for her night on the town, and she did not drown on her journey from Kingstown or Queenstown, to Hobart female penitentiary, and a life of continued brutality. Margaret Daly. Deported 1847 This girl was one and twenty years, illiterate and abandoned, stole a cloak and so exiled on the boat from Grangegorman, Her convict trade to be made toil and scrub as a housemaid. A freckled girl, with a gap in her smile, all the while, Her 7 children did not survive or were orphaned. 7, the number unlucky for Margaret of Dungarvan. Her Hemiplegic body paralysed by the loss and the grief. 37 the number of years in her life. Bridget Crotty. Deported 1849 The Lismore girl stole three geese from Pat Walsh of Portlaw, Made an outlaw of her and her friend Judith Sent first to Grangegorman workhouse to await her passage, Yet a quiet girl like Bridget understood the message and good behaviour cut short her servitude, with her modest attitude, and the flesh of the geese never made it to her belly from Ballyduff to the rough seas, going under to the hell of a retributive colony. Judith Farrell. Deported 1849 Of Lismore and a friend of Ms Crotty, the geese stealer She sailed down to hard labour without favour from healing herself from the dysentery on the boat of transportation, Frequented disorderly houses and stations Where she took up with a fellow, a drunken braggard boaster, Her black tale of woe ends with her rape and her murder. No absence permitted or sanctitude or saviour, She couldn't escape from his fervour and venture. Bridget Brien. Deported 1852 Ms Brien stole a hen at the height of the famine To sustain starving children, 7 years transportation. Transformed to a penal servant girl, dark haired and blue eyed Her boy John Brien, age 4 by her side was taken into the orphanage on arrival, the pain of survival. Bereft Bridget heartbroken, caught drunk and absconding One of 9000 women, repentant remanding. The women of Waterford and Van Diemen's landing. What did they see when the glanced back over the stern? They saw Ireland, to where they would never to return.

Pepper turned her new husband on to threesomes and couple swapping and she called in to talk all about it. Tune in to hear all the details including the threesomes and throuple she had when she was younger, the first guy she started swinging with and how and their open relationship was set up, how he wound up cheating on her even though he was allowed to hook up with others and the funny way she caught and confronted him, how she met her current husband and how she wound up giving him a free pass and what he did with it at first, the threesome with a guy they had and what went down, the first couple they decided to meet and hook up and what went down, how they both felt seeing each other with other people, her husbands foot fetish and how she uses it to her advantage, how her husband admitted he enjoys hooking up with guys and how she felt about it, the crossdresser they hooked up with many times and what goes down with him plus a whole lot more. GET A COPY OF THE STRICTLY ANONYMOUS BOOK! Strictly Anonymous Confessions: Secret Sex Lives of Total Strangers. A bunch of short, super sexy, TRUE stories. GET YOUR COPY HERE: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://amzn.to/4i7hBCd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  or Pre-order audiobook version ⁠⁠⁠⁠⁠here⁠⁠⁠⁠   To see HOT pics of my female guests + hear anonymous confessions + get all the episodes early and AD FREE, join my Patreon! It's only $7 a month and you can cancel at any time. You can sign up here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/StrictlyAnonymousPodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and when you join, I'll throw in a complimentary link to my private Discord! To join SDC and get a FREE Trial! click here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sdc.com/?ref=37712⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or go to SDC.com and use my code 37712 Want to be on the show? Email me at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠strictlyanonymouspodcast@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.strictlyanonymouspodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and click on "Be on the Show." Want to confess while remaining anonymous? Call the CONFESSIONS hotline at 347-420-3579. All voices are changed.   Sponsors:   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.quince.com/strictlyanon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ — For premium quality Quince clothing plus FREE shipping and 365 day returns!  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://VB.HEALTH⁠⁠⁠⁠⁠⁠ - To get 10% off DRIVE BOOST by VB Health, use code: STRICTLY  ⁠⁠⁠⁠https://Motorbunny.com/Strictly⁠⁠⁠⁠ - For $50 off your whole order  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bluechew.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ — Buy 2 months of Bluechew GOLD and get the third month FREE! Use code: STRICTLYANON⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://beducate.me/pd2614-anonymous —⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Click here to take the quiz and  get your personalized roadmap to sexual happiness Follow me! Instagram  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/strictanonymous/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ X  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/strictanonymous?lang=en⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.strictlyanonymouspodcast.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Strictlyanonymouspodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 193: Swingers Swapping In Leamington Spa Buckle up, vixens! This bank holiday, Mr. & Mrs. N are taking the show on the road, and they aren't traveling alone. They've packed a van with five fellow swingers for a road trip fuelled by caffeine, chemistry, and a very specific destination: a naughty book shop hidden away from the prying eyes of the vanilla world. Expect plenty of naughty giggles, backseat banter, and a look at what happens when half a dozen lifestyle enthusiasts let loose in an aisle full of "educational" literature. (Adult Content: Strictly 18+ Only) You can visit Mr and Mrs N's website V2V.UK It includes full details of the new V2V Club in Nuneaton Warwickshire. Learn how you can meet the naughty couple! You can contact Mr and Mrs N in the following ways :- V2V Club Website :- V2V.UK Fab Swingers :- naughtycp1 V2V CLUB Email :- naughtycp1@yahoo.com Instagram :- V2V_Club Mr and Mrs N's book "Vanilla To Vixen - My Journey from a Vanilla Life to becoming a Hot Wife" is available now from Amazon.com and Amazon.co.uk. Click on the following link. https://amzn.eu/d/2jKocJO Join Mr and Mrs N's Discord Chat Server :- This is a safe and discreet place where you can chat to fellow liberated members involved in the swinging lifestyle also known as the naughty hobby.  Please read and respect our chat server rules before joining our Discord Chat Server. This service is completely free, there are many rooms to enjoy with fellow members of the swinging community. You MUST BE OVER 24 YEARS OLD TO JOIN THIS DISCORD SERVER. Our Discord server is for social swingers chat. It is exclusively for people involved in the swinging lifestyle. it is not a "pick up" or dating site. You must NOT private message other members without asking their permission in the general chat room. All rooms within V2V Discord are moderated. The following link is an invite into the Vanilla To Vixen Discord Chat Server. Join our discord chat by visiting V2V.UK

Join Kris Krohn and guest Rob Gill as they dismantle the "lame" culture of traditional networking events. They reveal a core principle that earned Kris over $1,000,000 in a single year by focusing on genuine, high-level business partnerships.

Matthew Collings, Head of Product for Krotos was manning their booth at NAB in Las V, showing off the latest upgrades to their new AI-assisted sound design workflows in Krotos Studio for Adobe Premiere, with support for DaVinci Resolve and other NLEs planned. The system analyzes selected video regions, places synchronized royalty-free sound effects from Krotos' recorded library, and lets editors quickly swap, remix, and customize impacts, ambiences, drones, footsteps, cloth, and surfaces without generative audio.  Show Notes: Chapters: 0:03 Introduction from NAB 20260:24 Matthew introduces Krotos Studio's new Adobe Premiere integration0:51 AI analyzes selected video regions for sound design1:33 Traditional Krotos Studio workflow and interactive sound performance2:31 Automatically generated sounds appear in the Premiere timeline3:17 Customizing AI-assisted sound choices after placement4:14 Swapping impacts and transitions while maintaining sync4:46 Security, privacy, and cloud processing questions5:32 AI tools used and planned launch timing6:04 Royalty-free licensing and ownership of sounds6:51 Krotos' expanded sound library and AI-assisted placement7:25 Recorded sound vs. generative audio8:02 Cloud processing and connection-speed considerations8:36 Using AI for footsteps, ambience, and cloth sounds9:55 Instant Render for drones, ambiences, and music beds10:42 Stem drag-and-drop for greater mix control11:15 AI-generated synchronized footsteps demo11:42 Changing footstep surfaces while preserving sync12:23 Manual fine-tuning and creative flexibility13:04 AI as a time-saving creative assistant13:40 Pricing, subscription tiers, and website Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Matthew Collings, Head of Product for Krotos was manning their booth at NAB in Las Vegas, showing off the latest upgrades to their new AI-assisted sound design workflows in Krotos Studio for Adobe Premiere, with support for DaVinci Resolve and other NLEs planned. The system analyzes selected video regions, places synchronized royalty-free sound effects from Krotos' recorded library, and lets editors quickly swap, remix, and customize impacts, ambiences, drones, footsteps, cloth, and surfaces without generative audio.  Show Notes: Chapters: 0:03 Introduction from NAB 2026 0:24 Matthew introduces Krotos Studio's new Adobe Premiere integration 0:51 AI analyzes selected video regions for sound design 1:33 Traditional Krotos Studio workflow and interactive sound performance 2:31 Automatically generated sounds appear in the Premiere timeline 3:17 Customizing AI-assisted sound choices after placement 4:14 Swapping impacts and transitions while maintaining sync 4:46 Security, privacy, and cloud processing questions 5:32 AI tools used and planned launch timing 6:04 Royalty-free licensing and ownership of sounds 6:51 Krotos' expanded sound library and AI-assisted placement 7:25 Recorded sound vs. generative audio 8:02 Cloud processing and connection-speed considerations 8:36 Using AI for footsteps, ambience, and cloth sounds 9:55 Instant Render for drones, ambiences, and music beds 10:42 Stem drag-and-drop for greater mix control 11:15 AI-generated synchronized footsteps demo 11:42 Changing footstep surfaces while preserving sync 12:23 Manual fine-tuning and creative flexibility 13:04 AI as a time-saving creative assistant 13:40 Pricing, subscription tiers, and website Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Hey guys, it's Diane - welcome back to Boss Bitch Radio. This one's a little different because I'm getting real about something that's been quietly taking up way more space in my life than I realized… social media. After years (literally YEARS) of being on Instagram, TikTok, and everything in between, I decided to take a step back - and wow, I did not expect what came out of it! In this episode, I'm sharing why I took a 10-day break from social media, what pushed me to finally do it, and the surprising things I learned along the way. We're talking less anxiety, more presence, and some honest realizations about how much time we spend scrolling, numbing out, and disconnecting from real life. I also open up about a recent big life transition, how that played into my decision, and what I've been doing instead of reaching for my phone 24/7. This isn't about demonizing social media - it's about becoming aware of how you're using it and asking yourself if it's actually serving you. If you've ever felt overwhelmed, distracted, or just stuck in the scroll loop, this episode might hit home. I'll also share some simple ideas you can try if you're curious about taking your own break - even for just a day! If you're ready to feel a little more present, grounded, and back in control of your time and energy, this one's for you.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

In today's episode, Robby and Sammi recount Robby's difficult experience with a spinal cord stimulator trial. Robby's first trial unfortunately provided no relief despite multiple adjustments throughout the week. In an unusual move, his doctor decided to swap the first device for a new one mid-appointment rather than ending the trial. With the second device, Robby experienced immediate improvement, turning his head for the first time in years! But, the trial's extension led to severe lower back pain where the leads were inserted and he ended up in the hospital. Despite the "terrible" nature of the trial, Robby is scheduled to meet with a neurosurgeon on May 1st to discuss a permanent "paddle" implant, though he remains only 50/50 on whether to proceed.Produced by: Limitless Broadcasting Network.For more info, merch, and all the other podcasts, visit: www.limitlessbroadcastingnetwork.comFollow the show on Instagram @thepainfultruthpodcast, as well as Robby @robert1950studios and Sammi @thesam.a.lamMentioned in this episode:Canvas & Crime: Turning True Crime into Quirky CharactersGet your own notorious shot glass or art print at www.canvasandcrime.com! You can also find Elizabeth on Facebook at https://www.facebook.com/eak.creations and on Instagram @eakcreations. She also has a YouTube channel https://youtube.com/@canvasandcrime where you can see creativity in action. What's your favorite scary movie?Join your favorite horror couple as they dive into your favorite scary movies

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Discover the secret strengths and customization tricks hidden in iOS Control Center, from forgotten Apple tools to creative ways to streamline your day. Mikah Sargent and Rosemary Orchard reveal the Control Center features most users overlook. Customizing and optimizing the iOS Control Center experience How to edit, rearrange, and size Control Center controls Adding app shortcuts and advanced tools to Control Center Managing secondary Control Center pages for deeper functionality Lock screen Control Center access settings and security considerations Swapping torch and camera for other controls on the lock screen News: Tim Cook steps down, John Ternus named incoming CEO App Caps: Frame for stylish screenshots; Visual Lookup in Photos for identification Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

This month we are focusing on Habit 4: Fuel to Follow God.My goal is to help you build habits peacefully so that you can impact your world powerfully.In the Hello Mornings Daily Podcast, I share a simple tip based on our monthly theme and then I close the podcast with our 3-Minute Morning Routine.THE 3-MINUTE MORNINGGod Time: Pray Psalm 143: 8 (Minute 1)Plan Time: Prayerfully Review Your Calendar  (Minute 2)Move Time: Take 5-10 Deep Breaths (Minute 3)That's it! Adjust as needed and use as your pathway to a growing morning habit!Want to go deeper with our workshops, journals, Bible Studies and accountability ? Join The Hello Mornings Academy, where we help Christian women build habits and reach goals peacefully so they can impact their world powerfully.GOODIES: Click here to download our FREE morning routine goodies.COMMUNITY: Click here to learn more about the Hello Mornings Academy.BOOK: Click here to get the Hello Mornings BookCheering you on,❤️ Kat Lee   

Lucy Hale is here to share all of her skin secrets! In this special live BONUS episode recorded in partnership with Shiseido Talks, we dive deep into the world of J-Beauty with the “Pretty Little Liars” star, alongside the internet's favourite board-certified dermatologist, Dr. Jenny Liu aka @derm.talk on Instagram.From embracing Japanese-inspired self-care principles to unveiling the new Shiseido Benefiance collection that promises brightening results in two weeks (!), this intimate conversation explores how minimalist rituals are the real key to your skin's healthspan – no “trends” required. In this episode we discuss: Lucy's beauty glow-up: How she traded the 21-step routine of her PLL days for the minimalist skincare vibe she swears by now.The "eye cream for 11s" hack: Dr. Jenny Liu (@derm.talk) explains why she uses eye cream on the lines *between* her eyebrows and how to actually protect your skin barrier.Aging in Hollywood: Lucy gets real about the pressure of growing older in the spotlight and the wellness trends that actually work — hello, fascia-release facials!The 14-day glow: Everything you need to know about Shiseido Benefiance and why Picao Preto is the natural retinol alternative currently on our radar.Rapid-fire round: Lucy reveals her ultimate comfort TV show and the exact ritual she uses to decompress after a long day.Christmas came early: What it was like reuniting with former co-star Ian Harding for “Twelve Dates of Christmas” scheduled for release later this year.A message from Shiseido, this week's show sponsor: For more information on the Shiseido Benefiance range, including the iconic Wrinkle Smoothing Eye Cream and the brand new Brightening and Wrinkle Smoothing Cream and Dark Spot and Wrinkle Smoothing Serum, visit shiseido.com. #shiseidopartnerFor any products or links mentioned in this episode, check out our website: https://breakingbeautypodcast.com/episode-recaps/Get social with us and let us know what you think of the episode! Find us on Instagram, Tiktok, X, Threads. Join our private Facebook group. Or give us a call and leave us a voicemail at 1-844-227-0302. Sign up for our Substack here. Subscribe to our YouTube channel to watch our episodes!*Disclaimer: Unless otherwise stated, all products reviewed are gratis media samples submitted for editorial consideration.* Hosts: Carlene Higgins and Jill Dunn Theme song, used with permission: Cherry Bomb by Saya Produced by: Dear Media StudioSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hey there, you sexy deviants… Welcome to a brand new, extra filthy episode of Nikky After Dark. I'm your host Nikky, and tonight we're getting deep into some of the wildest confessions yet.Here are three mouth-watering teasers for what you can expect in this episode:A bold 22-year-old girlfriend takes her boyfriend to a kinky underground club… and makes him sit and watch while three hung strangers take turns fucking her senseless right in front of him.On the very same night a woman first met her future husband, she ended up at another man's apartment getting her ass fucked raw and filled with cum for the very first time.A wife tells her husband the nastiest story from her past while blowing him — a threesome that ended with a massive facial, an explosive squirt all over her cum-covered face, and a deep, sloppy cum-swapping kiss with the other woman.Join us over on Discord. https://discord.gg/uqqxsCSDfwSupport Nikky:Patreon: Unlock exclusive confessions, bonus thoughts, and steamy Q&As at Patreon.com/DearNikky. Join the inner circle for extra spice!Nectar.ai: Explore your wildest fantasies with immersive AI experiences at Nectar.ai. Perfect for Frisky Friday fans craving more.Featured Release: Dear Nikky: Sex Confessions From People Just Like You is out now! Dive deeper into the raw, unfiltered stories you love. Contact:Email: Nikky@dearnikky.comWebsite: DearNikky.com/confessionsSocials: Twitter (@DNikky162), Instagram (@DNikky162), Facebook (@DearNikky)Content Warning: This episode contains explicit sexual content, including graphic descriptions of nudity, public sex, infidelity, and boundary-pushing consensual fantasies.Stories are fictional and depict enthusiastic consent. Listener discretion advised; 18+ only. Submissions involving bestiality, incest, underage role-play, rape, non-consensual content, or racial slurs are not aired. Get Involved:Submit Your Story: Got a secret fantasy or steamy confession? Write to Nikky at Nikky@dearnikky.com or submit anonymously at DearNikky.com/confessions. By submitting, you certify:You're the sole creator of the submission.You're 18+ and legally able to submit erotic material.No prohibited themes (bestiality, incest, underage, rape, non-consensual content, racial slurs).Names/identifiable info may be changed.You release all rights to the submission.Say Hello: Have a burning fantasy or just want to chat? Email Nikky@dearnikky.com or connect on Twitter (@DNikky162), Instagram (@DNikky162) , or Facebook (@DearNikky). Nikky wants to hear your naughtiest thoughts!Support the Show: Love these private peeks into filthy lives? Leave a review on Apple Podcasts, Spotify,  Spreaker or your favorite platform to help new listeners discover the heat. Your support keeps the conversation sizzling!Become a supporter of this podcast: https://www.spreaker.com/podcast/dear-nikky-hidden-desires--6316414/support.

Ed's become a bit of a platinum hunter - he's picked up Mass Effect 2, 3, and is close to finishing Returnal. Ben's fully leaning into his weird management sim phase and is now hooked on CURE - A Hospital Simulator. We also have a go at predicting next week's BAFTA Games Awards and judge your top 9 games of all time. 00:00:00 - Intro 00:15:15 - BAFTA Games Awards 00:35:42 - Mass Effect 2 & 3 00:40:28 - Returnal 00:44:47 - FC Pro 2 update 00:47:00 - CURE - A Hospital Simulator 00:53:43 - Judging your top 9 games 01:22:20 - Outro   ▼ Swapping Joysticks ▼ ● All previous episodes available at http://swappingjoysticks.com  ▼ Ben's links ▼ ● Follow on Twitch - http://twitch.tv/biggusbennus ● Follow on Bluesky - https://bsky.app/profile/biggusbennus.bsky.social ● Follow on Instagram - http://instagram.com/biggusbennus ● Join the Discord - http://discord.gg/biggusbennus ▼ Ed's links ▼ ● Follow on Twitch - http://twitch.tv/ed_nights ● Follow on Bluesky - https://bsky.app/profile/ednights.bsky.social 

We’ve had a bit of a hiatus, but we are back and it is absolute chaos in the studio! We're diving into the deep end—literally—as we revisit the time Dan tried to go skinny dipping and ended up face-planting onto a pool cover. Plus, Meg opens up about a fan encounter that happened at her absolute "ugliest" moment, and we discuss which body parts we’d swap if we could. You aren’t ready for the sheer amount of banter we’ve packed into our return episode! 00:00 – We’re back! Recapping our holiday hiatus. 02:50 – Producer Carl’s mid-podcast DIY project. 04:15 – Meg’s "ugliest" fan encounter at the sushi shop. 07:40 – Memory Lane: Dan as Katy Perry and Austin Powers. 09:30 – The skinny dipping pool cover disaster. 10:45 – The great Time Capsule recovery mission. 13:20 – Swapping body parts: What would we take from each other? 15:50 – 50k Fuel-let: Today’s secret keyword.

You know how everybody says, "Don't feed the trolls"? But what if they materialize IRL, from a digital ghost to the person sitting across from you at Sunday dinner? In this episode of Parents and Professors, Dr. Marjorie and Dr. Michael decapitate this cliche befitting these real-life trolls who, if blocked, would make that dinner even more awkward.This is not your regular discussion about 'political differences in the family but more of an autopsy of why your evidence-based arguments are currently hitting a brick wall. We're digging into the cognitive psychology of how minds actually shift (hint: loudness does not equate to sense) and the actual heavy lifting of keeping a connection alive when everyone else is busy screaming into the void. To find a way out, we're borrowing from Monica Guzman's “I Never Thought of It That Way” to swap out our verbal weaponry. It's about rethinking the 'Why' questions which immediately trigger that primate threat response, in favor of more practical and curiosity-driven 'How' questions that actually build a bridge before you incinerate it.Why evidence-based arguments don't work (and what does): Breaking down how opinions become "chicken-washed" as a sacred identity that people jump to defend with their lives The power of 'how' questions vs. 'why' questions: Swapping the judgmental "Why would you think that?" for a curiosity that makes headway for further conversation'What am I missing?': The single question that changes the physics of a confrontationThe Guzman Framework: We're borrowing from Monica Guzman's “I Never Thought of It That Way” to swap out our verbal weaponrySurgical Parenting: How Dr. Michael used these techniques to handle his son's bad grades, like a shared problem-solving exercise, and not a disciplinary confrontationSelective Accountability: Why we trade our values for tribal safety, from the Cesar Chavez controversy to the uncomfortable question of whether benevolent dictatorships could ever actually workThe Void: Why divorce feels like "screaming into the void" and how to keep the "Chicken-Washing" from leading you thereHomework: Pay a little more attention to the type of questions you're asking this weekBecause the alternative to doing the work, i.e., to asking what you're actually missing, is surviving a world you aren't even interested in inhabiting. If you want to keep the chicken-washing from turning into a divorce, you have to start talking to the people at your Sunday dinner table… preferably before the food gets cold. TIMESTAMPS / CHAPTERS1:00 - What If the Trolls Are in Your Family?03:37 - Online Comments: 'It Wasn't Worth It'08:16 - The Chicken Washing Debate: When Identity Gets Tied to Opinion10:00 - Tone Matters (But Facts Matter Too): The Eternal Struggle13:05 - Divorce Feels Like Screaming Into the Void16:10 - Treat Kids Like People (A Revolutionary Concept)29:42 - 'I Never Thought of It That Way': Monica Guzman's Framework34:36 - 'What Am I Missing?' In Action: The Bad Grades and the Play48:46 - Benevolent Dictatorships: The Conversation We're Not Having57:31 - Cesar Chavez and Selective Outrage: The Consistency ProblemRESOURCES & CITATIONS:Book: I Never Thought of It That Way by Monica GuzmanInvestigation: The NYT on the Cesar Chavez LegacyResearch: Cognitive Biases and Brain Biology (UConn Today)CONNECT WITH THE DOCTORS: 

Nicole and Sasheer have a LOT of fun topics to debrief this week, covering everything from Vin Diesel's passion for playing Groot to all of the 65+ cuties that could potentially join their hypothetical sexy stable. Nicole and Sasheer also discuss the evolution of a smoker's voice, the wonder that is Donna Summers, and take a Buzzfeed quiz about prehistoric species.QUIZ: https://www.buzzfeed.com/adrianaguilarmoore/we-know-which-prehistoric-animal-you-are-based-onWatch this full video on YouTube and follow below!Follow Nicole: Twitter, Instagram, TikTokFollow Sasheer: Instagram, TikTokLike the show? Rate Best Friends 5 stars on Spotify and Apple Podcasts!Have a friendship question for Nicole and Sasheer to solve? Leave us a voicemail at (323) 238-6554‬ or write in at nicoleandsasheer@gmail.com.Best Friends is a production of Headgum Studios. Our producer is Allie Kahan. Our executive producer is Anya Kanevskaya. The show is edited, mixed, and engineered by Richelle Chen.This is a Headgum podcast. Follow Headgum on Twitter, Instagram, and Tiktok. Advertise on Best Friends via Gumball.fm.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

- Brazil Adds BYD to Forced Labor Watchlist - Tesla Reclaims EV Lead from BYD - Tesla's Sales Surge in Europe and South Korea - Scout Motors EV Production Pushed Back Again - Mitsubishi's Stock Jumps on New Plant Announcement - Weak EV Demand Hits LG's Profit - Race Brewing Between Fast Charging and Battery Swapping - VW Group Announces 4 Beijing Premieres - Porsche to Reveal New 911 and Cayenne Models - Bridgestone Developing Metal Tires for Lunar Rovers

- Brazil Adds BYD to Forced Labor Watchlist - Tesla Reclaims EV Lead from BYD - Tesla's Sales Surge in Europe and South Korea - Scout Motors EV Production Pushed Back Again - Mitsubishi's Stock Jumps on New Plant Announcement - Weak EV Demand Hits LG's Profit - Race Brewing Between Fast Charging and Battery Swapping - VW Group Announces 4 Beijing Premieres - Porsche to Reveal New 911 and Cayenne Models - Bridgestone Developing Metal Tires for Lunar Rovers

Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w

Join us for a fun and insightful episode where we explore the World Association of Sofa Based Archers (WASBA) Chuck Norris Challenge. In this challenge, the hosts must shoot a 300 Vegas Round with 3 completely different arrows. We discuss archery tactics, gear, scoring, and share laughs over Chuck Norris jokes, all while swapping arrows and shooting for fun. Takeaways WASBA Chuck Norris Challenge rules and format Swapping arrows among participants for a full identity crisis Scoring system based on Chuck Norris jokes and respect Gear and arrow variations used in the challenge Humorous Chuck Norris quotes and their impact on archery culture   The Range Podcast is available on all major platforms, including Apple Podcasts and Spotify. Video versions can be found on the Vapor Trail YouTube Channel and Wild TV.  Enter Promo Code trp15 during checkout at www.vaportrailarchery.com to receive 15% off VTX Bowstrings and Branded Apparel. The Range Podcast is brought to you by Vapor Trail Archery and Stokerized Stabilizers. We are proud to be a part of the @sportsmens_empire network. #podcast #archerypodcast #outdoorpodcast #archery #targetarchery #bowandarrow #bowonly #outdoors #archerylife #compoundbow #chucknorrischallenge Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Tough Girl Podcast, we're joined by Marie "Lootie" Leautey, the second woman in history to run around the world solo and unsupported — and the fastest woman to do it. Lootie's journey began in France, far from the running world. A former smoker and corporate finance professional, she swapped cigarettes for daily runs at 25, building up to her first marathon in just eight months. That spark turned into an audacious dream: to run across the globe — 26,000+ km, across four continents, relying entirely on herself. Starting her run in Europe in December 2019, Lootie faced deserts, mountains, and long stretches between resupply points, carrying only a 12–15kg stroller packed with her essentials. Along the way, she experienced the kindness of strangers, the thrill of new cultures, and the incredible mental discipline required to run a marathon every day for years. Beyond the physical feat, Lootie shares how her journey is rooted in purpose: raising funds for Women for Women International, honouring her grandmother's legacy, and inspiring women to ask themselves, "Why am I doing this, and is it aligned with who I want to be?" This is a story of grit, adventure, and the extraordinary power of chasing your own path — a reminder that there's very little you can't achieve once you set your mind to it. ***  New episodes of the Tough Girl Podcast drop every Tuesday at 7 AM (UK time)! Make sure to subscribe so you never miss the inspiring journeys and incredible stories of tough women pushing boundaries.  Do you want to support the Tough Girl Mission to increase the amount of female role models in the media in the world of adventure and physical challenges? Support via Patreon! Join me in making a difference by signing up here: www.patreon.com/toughgirlpodcast.  Your support makes a difference.  Thank you x *** Show notes Who is Lootie Becoming the 2nd woman to run around the world - solo and unsupported Fastest women to run around the world  Her early years growing up in France Coming from a sporty family but not being interested in running Her love for team sports  Being a smoker Being out of shape at 25/26 years old Swapping her cigarettes for a run ever day Her wake up call in Greece while learning how to windsurf Building up to a marathon distance- 8 months later Leaving France when she was 20  - working in finance for big corporates  Having the idea to run around the world Going on Google - has anyone run around the world before The World Runners Association (WRA)  Her route and the rules and how they gave her structure  Needing to cross a minimum of 4 continents, and run in one continuous direction  Running a minimum distance of just under 30,000 km (The runner must cover a total of at least 26,232 km on foot) Making the decision and the commitment  Understanding her WHY and having it at the forefront of her mind  Self financing the challenge  Deciding to run a marathon per day  Taking 2 years in the planning and preparation  Running without time pressure The daily thoughts, the novelty of running  Never thinking of giving up as this is exactly what she wanted Her running set up - and keeping it as light as possible (12 - 15kg) Researching with google maps - trying to figure out her location every 40km The longest distances without resupply - and knowing she would need to camp and to be self sufficient.  Having a stroller with waterproof bags  The mental side of the challenge while running  Having a sensory experience while running  Not being bored on any of the days - even while crossing the desert in Australia Speaking French, English, German and Greek Starting her run in Europe and why it was such a challenge (covid) Starting 6th December 2019 After leaving Europe and heading to America (Getting an exception from the WRA) Arriving in New York in Mid November 2021 What daily life was like on the road  Starting running at dawn and being done by lunchtime  What the afternoons would look like  Carrying 2 GPS trackers - and updating the info daily (or as often as possible when wifi was available) Going to bed by 9pm and sleeping very well throughout the challenge - going from sleeping 5hrs a night to 9/10 hours of sleep at night Eating what you find, eat until you are not hungry anymore Not being dependent on certain types of food, drinks, gels, supplements etc Running in South America (her first visit was on the run), starting in Patagonia  Running up to 4,000m of altitude  Being inspired by her Grandmother who was the director of the first feminist library in France   Being taught the differences between the treatment between men and woman  Being encouraged to do what ever she wanted Wanting to use her voice to share that message with women  Running for Women for Women International  Wanting to rise $1 per km run  The challenges of running in Australia: - road trains, distances between resupply points The kindness of strangers  Running in Australia between May and August - which is Autumn time  Finishing the world run in Sydney, Australia and coming to the end of the run and the experience. Feeling a little bit of satisfaction and also wanting the run to continue - a cocktail of strong and contradictory emotions  Feeling at peace now - 3 years after the run The day after and not needing to run anymore Never missing the running, even though she enjoyed it everyday  Struggling to run casually after the end of the world run Flying back to France and going back to the normal world  Having a publishing contract in France and being ready after 2/3 months to start writing about the experience Feeling that the adventure was so rich - that she wanted to write the story in English and finding a publisher in the United States The next challenge…. Deciding to run across Africa Wanting to be a teacher How to connect with Lootie on social media  Final words of advice for other women who want to take on their own personal challenge Whatever you're doing — at work or in your life — pause and ask yourself: Why am I doing this? And how aligned is it with who I am, or who I want to become? There's very little you can't do once you set your mind to it. Her motto - Wanting to see the world, enjoy it and appreciate every step of the way.    Social Media Website: lootie-run.com  Instagram: @lootierun Facebook: @lootierun Strava: www.strava.com/athletes/48402997   

Join us for a fun and insightful episode where we explore the World Association of Sofa Based Archers (WASBA) Chuck Norris Challenge. In this challenge, the hosts must shoot a 300 Vegas Round with 3 completely different arrows. We discuss archery tactics, gear, scoring, and share laughs over Chuck Norris jokes, all while swapping arrows and shooting for fun. Takeaways WASBA Chuck Norris Challenge rules and format Swapping arrows among participants for a full identity crisis Scoring system based on Chuck Norris jokes and respect Gear and arrow variations used in the challenge Humorous Chuck Norris quotes and their impact on archery culture   The Range Podcast is available on all major platforms, including Apple Podcasts and Spotify. Video versions can be found on the Vapor Trail YouTube Channel and Wild TV.  Enter Promo Code trp15 during checkout at www.vaportrailarchery.com to receive 15% off VTX Bowstrings and Branded Apparel. The Range Podcast is brought to you by Vapor Trail Archery and Stokerized Stabilizers. We are proud to be a part of the @sportsmens_empire network. #podcast #archerypodcast #outdoorpodcast #archery #targetarchery #bowandarrow #bowonly #outdoors #archerylife #compoundbow #chucknorrischallenge Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Daily Gwei Refuel gives you a recap every other week day on everything that happened in the Ethereum and crypto ecosystems - hosted by Anthony Sassano. Timestamps and links to topics discussed: https://daily-gwei-links.vercel.app/recent 00:00 Introductory song 00:10 Post-quantum Ethereum https://x.com/ethereumfndn/status/2036464704235692454 https://x.com/corcoranwill/status/2036225236798959737 https://x.com/davwals/status/2036442507437867130 27:01 Fast confirmation rule https://x.com/_julianma/status/2033851796574154808 31:11 The EF's first validator is now active https://x.com/nixorokish/status/2034636871188504986 36:04 EIP Champion's Handbook now live https://x.com/nixorokish/status/2036890179781177746 39:15 Clarifying the L1 and L2 relationship https://x.com/rudolf6_/status/2036139486846091745 43:42 Swapping privately on Ethereum L1 https://x.com/soispoke/status/2034587465382514773 https://x.com/soispoke/status/2034255732141342870 This episode is also available on YouTube: https://youtu.be/1_iNz6xkkpM Subscribe to the newsletter: https://thedailygwei.substack.com/ Subscribe on YouTube: https://www.youtube.com/channel/UCvCp6vKY5jDr87htKH6hgDA/ Follow Anthony on Twitter: https://twitter.com/sassal0x Follow The Daily Gwei on Twitter: https://twitter.com/thedailygwei Join the Discord Channel: https://discord.gg/4pfUJsENcg DISCLAIMER: All information presented across all of The Daily Gwei's communication channels is strictly for educational purposes and should not be taken as investment advice.

Hour 3 - Swapping voices full 2898 Thu, 26 Mar 2026 18:58:40 +0000 gPvpJM15qGlSRDevaSyrcbvLj8pH5IYr nfl,mlb,kansas city chiefs,kansas city royals,society & culture Cody & Gold nfl,mlb,kansas city chiefs,kansas city royals,society & culture Hour 3 - Swapping voices Hosts Cody Tapp & Alex Gold team up for 96.5 The Fan Radio's newest mid-day show "Cody & Gold."  Two born & raised Kansas Citians, Cody & Gold have been through all the highs and lows as a KC sports fan and they know the passion Kansas City has for their sports teams."Cody & Gold" will be a show focused on smart, sports conversation with the best voices from KC and around the country. It will also feature our listeners with your calls, texts & tweets as we want you to be a part of the show, not just a listener.  Cody & Gold, weekdays 10a-2p on 610 Sports Radio.  2024 © 2021 Audacy, Inc. Society & Culture False https://player.amperwavepodcasting.com?feed-link=https%3A%2F%2Frss.a

Swapping backward longing for forward-facing gratitude. It does get better than this.

Our past explains why certain foods, routines, and rules still run our choices today, from junk food access to clean-plate pressure and diet talk at home. We connect those childhood “echoes” to adult cravings, food guilt, and rebellion eating, then talk through how to rewire rewards and pass on healthier cues to the next generation. • Childhood food environments shaping adult eating patterns • Junk food access and how parents set the tone • Clean-your-plate rules and trouble stopping at comfortably full • Food preferences tied to restriction and nostalgia • Cafeteria memories linking food with excitement and comfort • Snacks, routines, and timing that persist for decades • Scarcity thinking and learning to eat fast • Diet culture at home creating perfectionism and guilt • Rebellion eating after gaining adult freedom • Swapping food rewards for rest, walks, and other supports • Noticing what we model for kids and grandkids If you have any thoughts, comments, or questions, let me know.https://aarondegler.com/

Tired of Wearing a Mask?

The episode details a structural shift in the technology landscape: AI models are increasingly being treated as commodity components, with operational control and procurement decisions moving to the orchestration layer. This change is illustrated by government procurement actions, specifically the Pentagon's designation of Anthropic's Claude model as a supply chain risk and the subsequent shift in model eligibility requirements. Policymaking authorities are now directly dictating which models can be used within national security supply chains, reconfiguring where power, liability, and decision-making sit. The primary development is the Department of Defense's recent disqualification of Anthropic's Claude from eligible contracts, leading to both contract cancellations and legal disputes. Anthropic has responded with lawsuits contesting its supply chain risk designation, while Microsoft has sought court intervention to block the Pentagon's ban, asserting this would prevent disruption to military AI workflows. The State Department has also moved its internal chatbot infrastructure from Claude Sonic 4.5 to OpenAI's GPT-4.1, aligning with the President's compliance directive. Supporting developments include Google's deployment of Gemini-powered AI agents within the Department of Defense, and the emergence of tools such as Perplexity's APIs, which aim to simplify workflow construction across multiple models. The episode emphasizes that model swaps by agencies are not merely technical updates, but policy-driven control decisions. These actions underscore a climate in which model eligibility and operational portability are shaped by compliance and procurement authorities rather than technical teams or vendors. Operational implications for MSPs and IT providers are profound. Single-model dependencies now present measurable contract risk, especially for clients in defense, healthcare, or finance sectors. Swapping models requires revalidation of prompts, outputs, and integrations, rather than simple API repointing. Providers are advised to audit workflows for reliance on any one model, prioritize abstraction layers that enable smooth transitions, and position model-agnostic architectures as proactive risk management. In a landscape defined by commodity models and policy-driven eligibility, model diversification now represents continuity planning rather than an engineering preference. Three things to know today: 00:00 Pentagon vs. Anthropic 02:19 Beyond the Model 05:07 Why Do We Care?  Supported by:  ScalePad, Small Biz Thoughts Community

The human body has so many superfluous bits and is lacking cool things like extra knees and we here at Plumbing the Death Star are the perfect trio to come up with brilliant and very smart ideas to change things up. Let's take a hard look at our beautiful bodies and just go buck wild with it. Swapping genitals? A little guy that does all our poops for us? A big eye on the top of our head on constant watch for big birds? All this AND Jackson has a weak little mouth on another exceptional episode of what is fundamentally a pop culture podcast.Links to everything at https://linktr.ee/plumbingthedeathstar including our terrible merch, social media garbage and where to become a subscriber to Bad Brain Boys+ Hosted on Acast. See acast.com/privacy for more information.

Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart NIO COME BACK FIGHTING AGAINST BYD'S 5-MINUTE CHARGING https://evne.ws/4b1HthE BYD KEEPS TWO BLADE BATTERY LINES https://evne.ws/4bjQAcv Z9GT SHOW CARS REACH 40 DENZA STORES https://evne.ws/4dfYhCV ZEEKR 007 GT FACELIFT TIPPED TO COST MORE https://evne.ws/4s7akqW ZEEKR 8X INTERIOR REVEAL TARGETS X5 AND GLE https://evne.ws/3OS9vUf WERIDE AND GEELY FARIZON UPGRADE GXR ROBOTAXI https://evne.ws/3P1EQnp JETTA SETS 2026 LAUNCH FOR FIRST EV https://evne.ws/4ukAZSq CHINA BRACES FOR BIGGEST 2026 FUEL PRICE HIKE https://evne.ws/4bqC3fc SAIC H5 BRINGS HIMA DOWN TO 159,800 YUAN https://evne.ws/3PbQ6gV

Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart BYD PLANS 20,000 MEGAWATT CHARGERS BY 2026 https://evne.ws/4rhiMmh BYD OPENS SONG ULTRA EV PRESALES FROM 155,000 YUAN https://evne.ws/4b8blYx ZEEKR 009 REFRESH SWITCHES TO 900V FOR 2026 https://evne.ws/3OVazqo ZEEKR DELIVERS 7X IN GERMANY, ADDS SOUTHERN EUROPE https://evne.ws/4b9gqRH CHINESE EV EXPORTS STALL AS HORMUZ SHUTS https://evne.ws/4leDH7S MIDEAST CONFLICT JOLTS CHINA'S CAR EXPORT ROUTES https://evne.ws/46GPnuj NIO HITS TWO MILLION ELECTRIC DRIVE UNITS https://evne.ws/4rib5w5 NIO PLANS SHANGHAI BATTERY R&D BASE https://evne.ws/47l2D81 GEELY GALAXY SETS XINGYAO 7 FOR Q2 2026 https://evne.ws/3OXW6Ke POWER BANK SPARKED BYD SEAL FIRE IN HONG KONG https://evne.ws/40nt6y1