Podcasts about V2

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

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

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

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

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

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

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

A Toast to Community Spirit Winchester's Old Town district is shaking off the post-holiday blues with a spirited comeback. In this episode of The Valley Today, host Janet Michael and Brady Cloven, Executive Director for Friends of Old Town, recently embarked on what they jokingly called "research"—a Friday afternoon bar crawl previewing Old Town on the Rocks, a revived cocktail competition set for January 16-18, 2026. The event marks the return of a beloved tradition that disappeared during COVID. After a five or six-year hiatus, Brady and his team approached the original organizers to revive the competition. "They said, cool, we'll give you the ownership of it. Do what you want with it," Brady recalls with a laugh.  A New Focus on Main Street This year's competition takes a more focused approach than its predecessor. Rather than spreading across the entire city, Old Town on the Rocks concentrates exclusively on the Old Town Walking Mall and Main Street district businesses. "We're the Main Street Program and our region and our scope is the Old Town District," Brady explains. While future years may expand to include establishments like Oak Stone or Crush, this inaugural revival keeps things tight and manageable. The strategy serves a dual purpose: showcasing the creativity of local bartenders while driving business during one of the slowest months of the year. "Everybody backs off from being out after the holidays," Brady notes, "but this is trying to push them through for a weekend and say, hey, there's still things to do down here." Stop One: Hideaway Cafe's Coffee Cocktail Mastery The duo begins their journey at Hideaway Cafe, where co-owner Greg Armstrong has transformed a coffee shop into an unexpected cocktail destination. Located in the big green building on the corner of Cork and Loudoun—the old Bargain Corner for longtime Winchester residents—Hideaway boasts a unique advantage: a full espresso bar alongside its liquor license. Greg's background reveals a passionate hobbyist turned professional. Years ago, he took a bartending course as a gift, but his instructor quickly realized Greg's extensive knowledge. "The guy who was teaching the course realized that he would go through what was in the text, and then turn to me and say, what do you know about it?" Greg remembers. "And I would talk for half an hour about whatever it was." The Long Winter's Night Manhattan For the competition, Greg crafted the Long Winter's Night Manhattan, a sophisticated twist on the classic Black Manhattan. Instead of traditional vermouth, he uses Amaro—an Italian botanical liqueur—then adds Licor 43 (Cuarenta y Tres), a Spanish cordial with 43 infused botanicals that brings vanilla and citrus notes. A touch of Amarena syrup rounds out the cherry flavors. "It's got really good flavor," Brady observes after his first sip, noting the lingering spice from the whiskey and botanicals. Janet agrees enthusiastically, remarking that the alcohol doesn't overpower the complex layers—a common pitfall in bourbon-forward drinks. Greg's bar operates on an unconventional schedule. Patrons can order cocktails from 9 AM until closing, though Greg admits morning orders tend toward Irish coffees and espresso martinis. The cafe closes Mondays for administrative work, opens 9-2 on Tuesdays, 9-5 Wednesday through Saturday, and 9-4 on Sundays. Special evening events extend hours to around 7 PM, all posted on their Facebook page. Stop Two: V2's Nerdy Indulgence Next, Janet and Brady head to V2, where GM/bar manager Courtney has prepared something entirely different. The restaurant, which has anchored Old Town for 23 years, recently expanded its beverage program and just secured an ABC license for its sister restaurant, Mangia Cucina Italiana. Courtney's creation, the Red Eye Mordor, draws inspiration from an unexpected source: the 25th anniversary re-release of Lord of the Rings, screening the same weekend as the competition. "I'm a huge Lord of the Rings fan, as well as my boyfriend," Courtney explains. "I kind of just wanted something that inspired me from the movie, plus to kind of nerd out with it." A Coffee-Based Journey to Middle Earth The cocktail combines coffee with a hint of spice, referencing Frodo's sleepless journey into the fiery realm of Mordor. Edible gold glitter symbolizes the One Ring, while red glitter on top adds visual drama. When Janet admits she's never seen Lord of the Rings, Brady looks genuinely shocked. "This drink is literally going to be my introduction to Lord of the Rings," she laughs. After tasting, Brady's eyes widen. "Oh my gosh, it's like a spiced hot chocolate," he exclaims. "It lingers a lot in a good way." Janet agrees, noting that even non-coffee drinkers would appreciate the balanced flavors. Courtney's creative process involves considerable trial and error—and drinking. While developing the Red Eye Mordor, she struggled to identify a missing ingredient, complicated by recovering from illness. "Two days I'm stewing on this," she recalls. "I finally figured it out. I'm not gonna say 'cause it's a secret ingredient, secret recipe." Beyond the competition, V2 offers an extensive menu featuring fresh pasta and a growing tequila collection. Their happy hour runs 4-6 PM Monday through Friday, with a special Saturday morning happy hour featuring dollar oysters. The restaurant operates 11:30 AM to 9 PM Monday through Saturday. Stop Three: Roma's Warm Surprise The final stop brings Janet and Brady to Roma, known primarily for pizza but hiding a sophisticated bar program. Chris, the bartender who created the competition entry, isn't present, but his Smooth Like Butta cocktail speaks for itself. This drink stands out as the only warm cocktail in the competition—a bold choice that initially makes Brady hesitant. "I'm not a huge fan of warm drinks," he admits. The cocktail features Elijah Craig Rye, house-infused apple brandy, house citrus shrub, and a touch of butter. Defying Expectations After the first sip, Brady's skepticism evaporates. "Oh, that is smooth like butta," he marvels. Janet, equally impressed, confesses her initial doubts: "I had my doubts, but all of my doubts have now been erased. This is amazing." The butter element proves particularly striking. "It even tastes like butter," Janet observes. "After you're done, you can feel it on your lips." Brady nods enthusiastically, calling the experience "insane." The warm cocktail's timing couldn't be better. While the preview happens on a mild 60-degree rainy day, the actual competition weekend will likely bring temperatures in the 30s or 40s—perfect weather for a warming drink. The Competition Framework Old Town on the Rocks features eight participating establishments: Hideaway Cafe, Roma, V2, Wine Room, TT Walls, The Half Note Lounge, Bistro Sojo, and Uno's (located under the George Washington Hotel). Each venue creates a unique cocktail using Elijah Craig bourbon, courtesy of sponsor Heaven Hill. The competition runs two parallel tracks. A panel of four judges—including Charlie Fish, one of the original Winchester on the Rocks organizers—will evaluate drinks using a standardized rubric. The winner receives a trophy provided by Elijah Craig. Simultaneously, fan voting occurs via QR codes at each location, determining the People's Choice winner. "I think it's a good way to have four judges who are all very interested in Old Town and live here, work here," Brady explains. However, Janet acknowledges that many restaurants value the popular vote even more than the judges' trophy. "They wanna know how many votes did they get as the most popular. That means a lot more to them sometimes." Heaven Hill Distillery and Elijah Craig stepped up as sponsors after Brady reached out following a suggestion from Caleb at Roma. "Just like that we did and they came and we had a conversation," Brady recalls. "I said, here's what we're thinking. They said, we'd love that idea." Beyond the Bourbon The event serves a larger mission for Winchester's Main Street Program. Brady pushes back against the perception that Old Town hibernates during winter months. "I don't think that Old Town goes into hibernation mode," he insists. "I think you just have to really look, and there are a ton of things that we have that can pull you indoors." He points to four museums within walking distance, an emerging arts district featuring Typewriter Studio and Polka Dot Pot, and the ongoing holiday market at ShenArts. "There is always something to do when it gets colder," Brady emphasizes. "You just still look a little harder, and we're hoping to push that forward." The timing also addresses a critical business challenge. January represents a financial lurch for small businesses—customers are waiting on tax returns, recovering from holiday spending, and generally reluctant to venture out. "It's still very important to support your small businesses," Brady urges. Even those who can't attend can help by sharing event information on social media. A Culinary Hub's Diversity Throughout their afternoon journey, Janet and Brady repeatedly note Old Town's remarkable diversity. "Everything is very unique down here," Janet observes. "You're not gonna walk up and down the mall or even on the ancillary parts and find exactly the same thing." The three cocktails they sample prove her point. From Hideaway's sophisticated Manhattan variation to V2's nerdy espresso martini to Roma's buttery warm concoction, each establishment brings distinct creativity to the same base spirit. "We've had a Manhattan, an espresso martini, and now a nice warm mock cider drink," Brady summarizes, still marveling at the variety. This diversity extends beyond beverages. V2 makes syrups in-house and infuses its own spirits. Courtney recently experimented with homemade limoncello for the group's new restaurant, Mangia, using V2 as her "guinea pig." Hideaway leverages its espresso equipment to create coffee cocktails other bars can't replicate. Roma operates Alesatian Brewery upstairs while serving creative cocktails downstairs. The Road Ahead As Janet and Brady wrap up their preview—admittedly feeling the effects of three bourbon drinks—they reflect on the challenge ahead. "We have eight different restaurants participating. We've only hit three," Brady notes with a laugh. "And at this rate, we may not hit more than... we may not hit. This may be the only three that we do." The bourbon requirement, while creating cohesion, presents its own challenge. "It's great because I love bourbon," Brady admits. "It's not great because when you're trying to drink eight bourbon drinks..." He trails off, closing one eye dramatically. Despite the research hazards, both hosts express genuine excitement for the competition's potential. The event represents more than just cocktails—it's about community resilience, creative expression, and proving that Old Town thrives year-round. For those planning to participate, Brady recommends spreading the experience across the full weekend rather than attempting all eight venues in one night. "You have plenty of opportunity to come in and try these drinks at all these different places," he suggests diplomatically. Raising the Bar Old Town on the Rocks ultimately celebrates what makes Winchester's downtown special: independent businesses run by passionate people who genuinely care about their craft. Greg's encyclopedic alcohol knowledge, Courtney's nerdy creativity, and Chris's willingness to experiment with warm butter cocktails all reflect a community that refuses to phone it in. As Janet becomes a newly minted VIP at Hideaway (complete with keychain proof), she embodies the event's spirit—locals discovering new dimensions of familiar places, supporting neighbors, and finding reasons to gather during the coldest, darkest months. "Just share it on Facebook," Brady urges those who can't attend. "You don't have to come out for Old Town on the Rocks. You can just share it, 'cause people may see it and want to go out." In the end, that's what community looks like: raising a glass together, even when it's cold outside. Old Town on the Rocks takes place January 16-18 throughout Old Town Winchester. Find more information at friendsofoldown.org or search "Friends of Old Town" on Facebook and Instagram.

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

Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we'll explain in the next State of Latent Space post, we'll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails and website updates!We first mentioned Artificial Analysis in 2024, when it was still a side project in a Sydney basement. They then were one of the few Nat Friedman and Daniel Gross' AIGrant companies to raise a full seed round from them and have now become the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities.We have chatted with both Clementine Fourrier of HuggingFace's OpenLLM Leaderboard and (the freshly valued at $1.7B) Anastasios Angelopoulos of LMArena on their approaches to LLM evals and trendspotting, but Artificial Analysis have staked out an enduring and important place in the toolkit of the modern AI Engineer by doing the best job of independently running the most comprehensive set of evals across the widest range of open and closed models, and charting their progress for broad industry analyst use.George Cameron and Micah-Hill Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is “open” really?We discuss:* The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet* Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers* The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints* How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard)* The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs* Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding ”I don't know”), and Claude models lead with the lowest hallucination rates despite not always being the smartest* GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias)* The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron)* The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents)* Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future* Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions)* V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models)Links to Artificial Analysis* Website: https://artificialanalysis.ai* George Cameron on X: https://x.com/georgecameron* Micah-Hill Smith on X: https://x.com/micahhsmithFull Episode on YouTubeTimestamps* 00:00 Introduction: Full Circle Moment and Artificial Analysis Origins* 01:19 Business Model: Independence and Revenue Streams* 04:33 Origin Story: From Legal AI to Benchmarking Need* 16:22 AI Grant and Moving to San Francisco* 19:21 Intelligence Index Evolution: From V1 to V3* 11:47 Benchmarking Challenges: Variance, Contamination, and Methodology* 13:52 Mystery Shopper Policy and Maintaining Independence* 28:01 New Benchmarks: Omissions Index for Hallucination Detection* 33:36 Critical Point: Hard Physics Problems and Research-Level Reasoning* 23:01 GDP Val AA: Agentic Benchmark for Real Work Tasks* 50:19 Stirrup Agent Harness: Open Source Agentic Framework* 52:43 Openness Index: Measuring Model Transparency Beyond Licenses* 58:25 The Smiling Curve: Cost Falling While Spend Rising* 1:02:32 Hardware Efficiency: Blackwell Gains and Sparsity Limits* 1:06:23 Reasoning Models and Token Efficiency: The Spectrum Emerges* 1:11:00 Multimodal Benchmarking: Image, Video, and Speech Arenas* 1:15:05 Looking Ahead: Intelligence Index V4 and Future Directions* 1:16:50 Closing: The Insatiable Demand for IntelligenceTranscriptMicah [00:00:06]: This is kind of a full circle moment for us in a way, because the first time artificial analysis got mentioned on a podcast was you and Alessio on Latent Space. Amazing.swyx [00:00:17]: Which was January 2024. I don't even remember doing that, but yeah, it was very influential to me. Yeah, I'm looking at AI News for Jan 17, or Jan 16, 2024. I said, this gem of a models and host comparison site was just launched. And then I put in a few screenshots, and I said, it's an independent third party. It clearly outlines the quality versus throughput trade-off, and it breaks out by model and hosting provider. I did give you s**t for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there. Welcome, George and Micah, to Latent Space. I've been following your progress. Congrats on... It's been an amazing year. You guys have really come together to be the presumptive new gardener of AI, right? Which is something that...George [00:01:09]: Yeah, but you can't pay us for better results.swyx [00:01:12]: Yes, exactly.George [00:01:13]: Very important.Micah [00:01:14]: Start off with a spicy take.swyx [00:01:18]: Okay, how do I pay you?Micah [00:01:20]: Let's get right into that.swyx [00:01:21]: How do you make money?Micah [00:01:24]: Well, very happy to talk about that. So it's been a big journey the last couple of years. Artificial analysis is going to be two years old in January 2026. Which is pretty soon now. We first run the website for free, obviously, and give away a ton of data to help developers and companies navigate AI and make decisions about models, providers, technologies across the AI stack for building stuff. We're very committed to doing that and tend to keep doing that. We have, along the way, built a business that is working out pretty sustainably. We've got just over 20 people now and two main customer groups. So we want to be... We want to be who enterprise look to for data and insights on AI, so we want to help them with their decisions about models and technologies for building stuff. And then on the other side, we do private benchmarking for companies throughout the AI stack who build AI stuff. So no one pays to be on the website. We've been very clear about that from the very start because there's no use doing what we do unless it's independent AI benchmarking. Yeah. But turns out a bunch of our stuff can be pretty useful to companies building AI stuff.swyx [00:02:38]: And is it like, I am a Fortune 500, I need advisors on objective analysis, and I call you guys and you pull up a custom report for me, you come into my office and give me a workshop? What kind of engagement is that?George [00:02:53]: So we have a benchmarking and insight subscription, which looks like standardized reports that cover key topics or key challenges enterprises face when looking to understand AI and choose between all the technologies. And so, for instance, one of the report is a model deployment report, how to think about choosing between serverless inference, managed deployment solutions, or leasing chips. And running inference yourself is an example kind of decision that big enterprises face, and it's hard to reason through, like this AI stuff is really new to everybody. And so we try and help with our reports and insight subscription. Companies navigate that. We also do custom private benchmarking. And so that's very different from the public benchmarking that we publicize, and there's no commercial model around that. For private benchmarking, we'll at times create benchmarks, run benchmarks to specs that enterprises want. And we'll also do that sometimes for AI companies who have built things, and we help them understand what they've built with private benchmarking. Yeah. So that's a piece mainly that we've developed through trying to support everybody publicly with our public benchmarks. Yeah.swyx [00:04:09]: Let's talk about TechStack behind that. But okay, I'm going to rewind all the way to when you guys started this project. You were all the way in Sydney? Yeah. Well, Sydney, Australia for me.Micah [00:04:19]: George was an SF, but he's Australian, but he moved here already. Yeah.swyx [00:04:22]: And I remember I had the Zoom call with you. What was the impetus for starting artificial analysis in the first place? You know, you started with public benchmarks. And so let's start there. We'll go to the private benchmark. Yeah.George [00:04:33]: Why don't we even go back a little bit to like why we, you know, thought that it was needed? Yeah.Micah [00:04:40]: The story kind of begins like in 2022, 2023, like both George and I have been into AI stuff for quite a while. In 2023 specifically, I was trying to build a legal AI research assistant. So it actually worked pretty well for its era, I would say. Yeah. Yeah. So I was finding that the more you go into building something using LLMs, the more each bit of what you're doing ends up being a benchmarking problem. So had like this multistage algorithm thing, trying to figure out what the minimum viable model for each bit was, trying to optimize every bit of it as you build that out, right? Like you're trying to think about accuracy, a bunch of other metrics and performance and cost. And mostly just no one was doing anything to independently evaluate all the models. And certainly not to look at the trade-offs for speed and cost. So we basically set out just to build a thing that developers could look at to see the trade-offs between all of those things measured independently across all the models and providers. Honestly, it was probably meant to be a side project when we first started doing it.swyx [00:05:49]: Like we didn't like get together and say like, Hey, like we're going to stop working on all this stuff. I'm like, this is going to be our main thing. When I first called you, I think you hadn't decided on starting a company yet.Micah [00:05:58]: That's actually true. I don't even think we'd pause like, like George had an acquittance job. I didn't quit working on my legal AI thing. Like it was genuinely a side project.George [00:06:05]: We built it because we needed it as people building in the space and thought, Oh, other people might find it useful too. So we'll buy domain and link it to the Vercel deployment that we had and tweet about it. And, but very quickly it started getting attention. Thank you, Swyx for, I think doing an initial retweet and spotlighting it there. This project that we released. And then very quickly though, it was useful to others, but very quickly it became more useful as the number of models released accelerated. We had Mixtrel 8x7B and it was a key. That's a fun one. Yeah. Like a open source model that really changed the landscape and opened up people's eyes to other serverless inference providers and thinking about speed, thinking about cost. And so that was a key. And so it became more useful quite quickly. Yeah.swyx [00:07:02]: What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that's obviously more relevant. But I want to stay on the origin story a little bit more. When you started out, I would say, I think the status quo at the time was every paper would come out and they would report their numbers versus competitor numbers. And that's basically it. And I remember I did the legwork. I think everyone has some knowledge. I think there's some version of Excel sheet or a Google sheet where you just like copy and paste the numbers from every paper and just post it up there. And then sometimes they don't line up because they're independently run. And so your numbers are going to look better than... Your reproductions of other people's numbers are going to look worse because you don't hold their models correctly or whatever the excuse is. I think then Stanford Helm, Percy Liang's project would also have some of these numbers. And I don't know if there's any other source that you can cite. The way that if I were to start artificial analysis at the same time you guys started, I would have used the Luther AI's eval framework harness. Yup.Micah [00:08:06]: Yup. That was some cool stuff. At the end of the day, running these evals, it's like if it's a simple Q&A eval, all you're doing is asking a list of questions and checking if the answers are right, which shouldn't be that crazy. But it turns out there are an enormous number of things that you've got control for. And I mean, back when we started the website. Yeah. Yeah. Like one of the reasons why we realized that we had to run the evals ourselves and couldn't just take rules from the labs was just that they would all prompt the models differently. And when you're competing over a few points, then you can pretty easily get- You can put the answer into the model. Yeah. That in the extreme. And like you get crazy cases like back when I'm Googled a Gemini 1.0 Ultra and needed a number that would say it was better than GPT-4 and like constructed, I think never published like chain of thought examples. 32 of them in every topic in MLU to run it, to get the score, like there are so many things that you- They never shipped Ultra, right? That's the one that never made it up. Not widely. Yeah. Yeah. Yeah. I mean, I'm sure it existed, but yeah. So we were pretty sure that we needed to run them ourselves and just run them in the same way across all the models. Yeah. And we were, we also did certain from the start that you couldn't look at those in isolation. You needed to look at them alongside the cost and performance stuff. Yeah.swyx [00:09:24]: Okay. A couple of technical questions. I mean, so obviously I also thought about this and I didn't do it because of cost. Yep. Did you not worry about costs? Were you funded already? Clearly not, but you know. No. Well, we definitely weren't at the start.Micah [00:09:36]: So like, I mean, we're paying for it personally at the start. There's a lot of money. Well, the numbers weren't nearly as bad a couple of years ago. So we certainly incurred some costs, but we were probably in the order of like hundreds of dollars of spend across all the benchmarking that we were doing. Yeah. So nothing. Yeah. It was like kind of fine. Yeah. Yeah. These days that's gone up an enormous amount for a bunch of reasons that we can talk about. But yeah, it wasn't that bad because you can also remember that like the number of models we were dealing with was hardly any and the complexity of the stuff that we wanted to do to evaluate them was a lot less. Like we were just asking some Q&A type questions and then one specific thing was for a lot of evals initially, we were just like sampling an answer. You know, like, what's the answer for this? Like, we didn't want to go into the answer directly without letting the models think. We weren't even doing chain of thought stuff initially. And that was the most useful way to get some results initially. Yeah.swyx [00:10:33]: And so for people who haven't done this work, literally parsing the responses is a whole thing, right? Like because sometimes the models, the models can answer any way they feel fit and sometimes they actually do have the right answer, but they just returned the wrong format and they will get a zero for that unless you work it into your parser. And that involves more work. And so, I mean, but there's an open question whether you should give it points for not following your instructions on the format.Micah [00:11:00]: It depends what you're looking at, right? Because you can, if you're trying to see whether or not it can solve a particular type of reasoning problem, and you don't want to test it on its ability to do answer formatting at the same time, then you might want to use an LLM as answer extractor approach to make sure that you get the answer out no matter how unanswered. But these days, it's mostly less of a problem. Like, if you instruct a model and give it examples of what the answers should look like, it can get the answers in your format, and then you can do, like, a simple regex.swyx [00:11:28]: Yeah, yeah. And then there's other questions around, I guess, sometimes if you have a multiple choice question, sometimes there's a bias towards the first answer, so you have to randomize the responses. All these nuances, like, once you dig into benchmarks, you're like, I don't know how anyone believes the numbers on all these things. It's so dark magic.Micah [00:11:47]: You've also got, like… You've got, like, the different degrees of variance in different benchmarks, right? Yeah. So, if you run four-question multi-choice on a modern reasoning model at the temperatures suggested by the labs for their own models, the variance that you can see on a four-question multi-choice eval is pretty enormous if you only do a single run of it and it has a small number of questions, especially. So, like, one of the things that we do is run an enormous number of all of our evals when we're developing new ones and doing upgrades to our intelligence index to bring in new things. Yeah. So, that we can dial in the right number of repeats so that we can get to the 95% confidence intervals that we're comfortable with so that when we pull that together, we can be confident in intelligence index to at least as tight as, like, a plus or minus one at a 95% confidence. Yeah.swyx [00:12:32]: And, again, that just adds a straight multiple to the cost. Oh, yeah. Yeah, yeah.George [00:12:37]: So, that's one of many reasons that cost has gone up a lot more than linearly over the last couple of years. We report a cost to run the artificial analysis. We report a cost to run the artificial analysis intelligence index on our website, and currently that's assuming one repeat in terms of how we report it because we want to reflect a bit about the weighting of the index. But our cost is actually a lot higher than what we report there because of the repeats.swyx [00:13:03]: Yeah, yeah, yeah. And probably this is true, but just checking, you don't have any special deals with the labs. They don't discount it. You just pay out of pocket or out of your sort of customer funds. Oh, there is a mix. So, the issue is that sometimes they may give you a special end point, which is… Ah, 100%.Micah [00:13:21]: Yeah, yeah, yeah. Exactly. So, we laser focus, like, on everything we do on having the best independent metrics and making sure that no one can manipulate them in any way. There are quite a lot of processes we've developed over the last couple of years to make that true for, like, the one you bring up, like, right here of the fact that if we're working with a lab, if they're giving us a private endpoint to evaluate a model, that it is totally possible. That what's sitting behind that black box is not the same as they serve on a public endpoint. We're very aware of that. We have what we call a mystery shopper policy. And so, and we're totally transparent with all the labs we work with about this, that we will register accounts not on our own domain and run both intelligence evals and performance benchmarks… Yeah, that's the job. …without them being able to identify it. And no one's ever had a problem with that. Because, like, a thing that turns out to actually be quite a good… …good factor in the industry is that they all want to believe that none of their competitors could manipulate what we're doing either.swyx [00:14:23]: That's true. I never thought about that. I've been in the database data industry prior, and there's a lot of shenanigans around benchmarking, right? So I'm just kind of going through the mental laundry list. Did I miss anything else in this category of shenanigans? Oh, potential shenanigans.Micah [00:14:36]: I mean, okay, the biggest one, like, that I'll bring up, like, is more of a conceptual one, actually, than, like, direct shenanigans. It's that the things that get measured become things that get targeted by labs that they're trying to build, right? Exactly. So that doesn't mean anything that we should really call shenanigans. Like, I'm not talking about training on test set. But if you know that you're going to be great at another particular thing, if you're a researcher, there are a whole bunch of things that you can do to try to get better at that thing that preferably are going to be helpful for a wide range of how actual users want to use the thing that you're building. But will not necessarily work. Will not necessarily do that. So, for instance, the models are exceptional now at answering competition maths problems. There is some relevance of that type of reasoning, that type of work, to, like, how we might use modern coding agents and stuff. But it's clearly not one for one. So the thing that we have to be aware of is that once an eval becomes the thing that everyone's looking at, scores can get better on it without there being a reflection of overall generalized intelligence of these models. Getting better. That has been true for the last couple of years. It'll be true for the next couple of years. There's no silver bullet to defeat that other than building new stuff to stay relevant and measure the capabilities that matter most to real users. Yeah.swyx [00:15:58]: And we'll cover some of the new stuff that you guys are building as well, which is cool. Like, you used to just run other people's evals, but now you're coming up with your own. And I think, obviously, that is a necessary path once you're at the frontier. You've exhausted all the existing evals. I think the next point in history that I have for you is AI Grant that you guys decided to join and move here. What was it like? I think you were in, like, batch two? Batch four. Batch four. Okay.Micah [00:16:26]: I mean, it was great. Nat and Daniel are obviously great. And it's a really cool group of companies that we were in AI Grant alongside. It was really great to get Nat and Daniel on board. Obviously, they've done a whole lot of great work in the space with a lot of leading companies and were extremely aligned. With the mission of what we were trying to do. Like, we're not quite typical of, like, a lot of the other AI startups that they've invested in.swyx [00:16:53]: And they were very much here for the mission of what we want to do. Did they say any advice that really affected you in some way or, like, were one of the events very impactful? That's an interesting question.Micah [00:17:03]: I mean, I remember fondly a bunch of the speakers who came and did fireside chats at AI Grant.swyx [00:17:09]: Which is also, like, a crazy list. Yeah.George [00:17:11]: Oh, totally. Yeah, yeah, yeah. There was something about, you know, speaking to Nat and Daniel about the challenges of working through a startup and just working through the questions that don't have, like, clear answers and how to work through those kind of methodically and just, like, work through the hard decisions. And they've been great mentors to us as we've built artificial analysis. Another benefit for us was that other companies in the batch and other companies in AI Grant are pushing the capabilities. Yeah. And I think that's a big part of what AI can do at this time. And so being in contact with them, making sure that artificial analysis is useful to them has been fantastic for supporting us in working out how should we build out artificial analysis to continue to being useful to those, like, you know, building on AI.swyx [00:17:59]: I think to some extent, I'm mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier. Yeah. Do you disagree?Micah [00:18:09]: To some extent. To some extent. But then, so a lot of what the AI Grant companies are doing is taking capabilities coming out of the labs and trying to push the limits of what they can do across the entire stack for building great applications, which actually makes some of them pretty archetypical power users of artificial analysis. Some of the people with the strongest opinions about what we're doing well and what we're not doing well and what they want to see next from us. Yeah. Yeah. Because when you're building any kind of AI application now, chances are you're using a whole bunch of different models. You're maybe switching reasonably frequently for different models and different parts of your application to optimize what you're able to do with them at an accuracy level and to get better speed and cost characteristics. So for many of them, no, they're like not commercial customers of ours, like we don't charge for all our data on the website. Yeah. They are absolutely some of our power users.swyx [00:19:07]: So let's talk about just the evals as well. So you start out from the general like MMU and GPQA stuff. What's next? How do you sort of build up to the overall index? What was in V1 and how did you evolve it? Okay.Micah [00:19:22]: So first, just like background, like we're talking about the artificial analysis intelligence index, which is our synthesis metric that we pulled together currently from 10 different eval data sets to give what? We're pretty much the same as that. Pretty confident is the best single number to look at for how smart the models are. Obviously, it doesn't tell the whole story. That's why we published the whole website of all the charts to dive into every part of it and look at the trade-offs. But best single number. So right now, it's got a bunch of Q&A type data sets that have been very important to the industry, like a couple that you just mentioned. It's also got a couple of agentic data sets. It's got our own long context reasoning data set and some other use case focused stuff. As time goes on. The things that we're most interested in that are going to be important to the capabilities that are becoming more important for AI, what developers are caring about, are going to be first around agentic capabilities. So surprise, surprise. We're all loving our coding agents and how the model is going to perform like that and then do similar things for different types of work are really important to us. The linking to use cases to economically valuable use cases are extremely important to us. And then we've got some of the. Yeah. These things that the models still struggle with, like working really well over long contexts that are not going to go away as specific capabilities and use cases that we need to keep evaluating.swyx [00:20:46]: But I guess one thing I was driving was like the V1 versus the V2 and how bad it was over time.Micah [00:20:53]: Like how we've changed the index to where we are.swyx [00:20:55]: And I think that reflects on the change in the industry. Right. So that's a nice way to tell that story.Micah [00:21:00]: Well, V1 would be completely saturated right now. Almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial. It's easy to forget, actually, I think how much progress has been made in the last two years. Like we obviously play the game constantly of like the today's version versus last week's version and the week before and all of the small changes in the horse race between the current frontier and who has the best like smaller than 10B model like right now this week. Right. And that's very important to a lot of developers and people and especially in this particular city of San Francisco. But when you zoom out a couple of years ago, literally most of what we were doing to evaluate the models then would all be 100% solved by even pretty small models today. And that's been one of the key things, by the way, that's driven down the cost of intelligence at every tier of intelligence. We can talk about more in a bit. So V1, V2, V3, we made things harder. We covered a wider range of use cases. And we tried to get closer to things developers care about as opposed to like just the Q&A type stuff that MMLU and GPQA represented. Yeah.swyx [00:22:12]: I don't know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it. Yeah.Micah [00:22:21]: Let's do it. Okay. This would be a pretty good way to chat about a few of the new things we've launched recently. Yeah.George [00:22:26]: And I think a little bit about the direction that we want to take it. And we want to push benchmarks. Currently, the intelligence index and evals focus a lot on kind of raw intelligence. But we kind of want to diversify how we think about intelligence. And we can talk about it. But kind of new evals that we've kind of built and partnered on focus on topics like hallucination. And we've got a lot of topics that I think are not covered by the current eval set that should be. And so we want to bring that forth. But before we get into that.swyx [00:23:01]: And so for listeners, just as a timestamp, right now, number one is Gemini 3 Pro High. Then followed by Cloud Opus at 70. Just 5.1 high. You don't have 5.2 yet. And Kimi K2 Thinking. Wow. Still hanging in there. So those are the top four. That will date this podcast quickly. Yeah. Yeah. I mean, I love it. I love it. No, no. 100%. Look back this time next year and go, how cute. Yep.George [00:23:25]: Totally. A quick view of that is, okay, there's a lot. I love it. I love this chart. Yeah.Micah [00:23:30]: This is such a favorite, right? Yeah. And almost every talk that George or I give at conferences and stuff, we always put this one up first to just talk about situating where we are in this moment in history. This, I think, is the visual version of what I was saying before about the zooming out and remembering how much progress there's been. If we go back to just over a year ago, before 01, before Cloud Sonnet 3.5, we didn't have reasoning models or coding agents as a thing. And the game was very, very different. If we go back even a little bit before then, we're in the era where, when you look at this chart, open AI was untouchable for well over a year. And, I mean, you would remember that time period well of there being very open questions about whether or not AI was going to be competitive, like full stop, whether or not open AI would just run away with it, whether we would have a few frontier labs and no one else would really be able to do anything other than consume their APIs. I am quite happy overall that the world that we have ended up in is one where... Multi-model. Absolutely. And strictly more competitive every quarter over the last few years. Yeah. This year has been insane. Yeah.George [00:24:42]: You can see it. This chart with everything added is hard to read currently. There's so many dots on it, but I think it reflects a little bit what we felt, like how crazy it's been.swyx [00:24:54]: Why 14 as the default? Is that a manual choice? Because you've got service now in there that are less traditional names. Yeah.George [00:25:01]: It's models that we're kind of highlighting by default in our charts, in our intelligence index. Okay.swyx [00:25:07]: You just have a manually curated list of stuff.George [00:25:10]: Yeah, that's right. But something that I actually don't think every artificial analysis user knows is that you can customize our charts and choose what models are highlighted. Yeah. And so if we take off a few names, it gets a little easier to read.swyx [00:25:25]: Yeah, yeah. A little easier to read. Totally. Yeah. But I love that you can see the all one jump. Look at that. September 2024. And the DeepSeek jump. Yeah.George [00:25:34]: Which got close to OpenAI's leadership. They were so close. I think, yeah, we remember that moment. Around this time last year, actually.Micah [00:25:44]: Yeah, yeah, yeah. I agree. Yeah, well, a couple of weeks. It was Boxing Day in New Zealand when DeepSeek v3 came out. And we'd been tracking DeepSeek and a bunch of the other global players that were less known over the second half of 2024 and had run evals on the earlier ones and stuff. I very distinctly remember Boxing Day in New Zealand, because I was with family for Christmas and stuff, running the evals and getting back result by result on DeepSeek v3. So this was the first of their v3 architecture, the 671b MOE.Micah [00:26:19]: And we were very, very impressed. That was the moment where we were sure that DeepSeek was no longer just one of many players, but had jumped up to be a thing. The world really noticed when they followed that up with the RL working on top of v3 and R1 succeeding a few weeks later. But the groundwork for that absolutely was laid with just extremely strong base model, completely open weights that we had as the best open weights model. So, yeah, that's the thing that you really see in the game. But I think that we got a lot of good feedback on Boxing Day. us on Boxing Day last year.George [00:26:48]: Boxing Day is the day after Christmas for those not familiar.George [00:26:54]: I'm from Singapore.swyx [00:26:55]: A lot of us remember Boxing Day for a different reason, for the tsunami that happened. Oh, of course. Yeah, but that was a long time ago. So yeah. So this is the rough pitch of AAQI. Is it A-A-Q-I or A-A-I-I? I-I. Okay. Good memory, though.Micah [00:27:11]: I don't know. I'm not used to it. Once upon a time, we did call it Quality Index, and we would talk about quality, performance, and price, but we changed it to intelligence.George [00:27:20]: There's been a few naming changes. We added hardware benchmarking to the site, and so benchmarks at a kind of system level. And so then we changed our throughput metric to, we now call it output speed, and thenswyx [00:27:32]: throughput makes sense at a system level, so we took that name. Take me through more charts. What should people know? Obviously, the way you look at the site is probably different than how a beginner might look at it.Micah [00:27:42]: Yeah, that's fair. There's a lot of fun stuff to dive into. Maybe so we can hit past all the, like, we have lots and lots of emails and stuff. The interesting ones to talk about today that would be great to bring up are a few of our recent things, I think, that probably not many people will be familiar with yet. So first one of those is our omniscience index. So this one is a little bit different to most of the intelligence evils that we've run. We built it specifically to look at the embedded knowledge in the models and to test hallucination by looking at when the model doesn't know the answer, so not able to get it correct, what's its probability of saying, I don't know, or giving an incorrect answer. So the metric that we use for omniscience goes from negative 100 to positive 100. Because we're simply taking off a point if you give an incorrect answer to the question. We're pretty convinced that this is an example of where it makes most sense to do that, because it's strictly more helpful to say, I don't know, instead of giving a wrong answer to factual knowledge question. And one of our goals is to shift the incentive that evils create for models and the labs creating them to get higher scores. And almost every evil across all of AI up until this point, it's been graded by simple percentage correct as the main metric, the main thing that gets hyped. And so you should take a shot at everything. There's no incentive to say, I don't know. So we did that for this one here.swyx [00:29:22]: I think there's a general field of calibration as well, like the confidence in your answer versus the rightness of the answer. Yeah, we completely agree. Yeah. Yeah.George [00:29:31]: On that. And one reason that we didn't do that is because. Or put that into this index is that we think that the, the way to do that is not to ask the models how confident they are.swyx [00:29:43]: I don't know. Maybe it might be though. You put it like a JSON field, say, say confidence and maybe it spits out something. Yeah. You know, we have done a few evils podcasts over the, over the years. And when we did one with Clementine of hugging face, who maintains the open source leaderboard, and this was one of her top requests, which is some kind of hallucination slash lack of confidence calibration thing. And so, Hey, this is one of them.Micah [00:30:05]: And I mean, like anything that we do, it's not a perfect metric or the whole story of everything that you think about as hallucination. But yeah, it's pretty useful and has some interesting results. Like one of the things that we saw in the hallucination rate is that anthropics Claude models at the, the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated amnesty is on. That is an interesting fact. I think it probably correlates with a lot of the previously, not really measured vibes stuff that people like about some of the Claude models. Is the dataset public or what's is it, is there a held out set? There's a hell of a set for this one. So we, we have published a public test set, but we we've only published 10% of it. The reason is that for this one here specifically, it would be very, very easy to like have data contamination because it is just factual knowledge questions. We would. We'll update it at a time to also prevent that, but with yeah, kept most of it held out so that we can keep it reliable for a long time. It leads us to a bunch of really cool things, including breakdown quite granularly by topic. And so we've got some of that disclosed on the website publicly right now, and there's lots more coming in terms of our ability to break out very specific topics. Yeah.swyx [00:31:23]: I would be interested. Let's, let's dwell a little bit on this hallucination one. I noticed that Haiku hallucinates less than Sonnet hallucinates less than Opus. And yeah. Would that be the other way around in a normal capability environments? I don't know. What's, what do you make of that?George [00:31:37]: One interesting aspect is that we've found that there's not really a, not a strong correlation between intelligence and hallucination, right? That's to say that the smarter the models are in a general sense, isn't correlated with their ability to, when they don't know something, say that they don't know. It's interesting that Gemini three pro preview was a big leap over here. Gemini 2.5. Flash and, and, and 2.5 pro, but, and if I add pro quickly here.swyx [00:32:07]: I bet pro's really good. Uh, actually no, I meant, I meant, uh, the GPT pros.George [00:32:12]: Oh yeah.swyx [00:32:13]: Cause GPT pros are rumored. We don't know for a fact that it's like eight runs and then with the LM judge on top. Yeah.George [00:32:20]: So we saw a big jump in, this is accuracy. So this is just percent that they get, uh, correct and Gemini three pro knew a lot more than the other models. And so big jump in accuracy. But relatively no change between the Google Gemini models, between releases. And the hallucination rate. Exactly. And so it's likely due to just kind of different post-training recipe, between the, the Claude models. Yeah.Micah [00:32:45]: Um, there's, there's driven this. Yeah. You can, uh, you can partially blame us and how we define intelligence having until now not defined hallucination as a negative in the way that we think about intelligence.swyx [00:32:56]: And so that's what we're changing. Uh, I know many smart people who are confidently incorrect.George [00:33:02]: Uh, look, look at that. That, that, that is very humans. Very true. And there's times and a place for that. I think our view is that hallucination rate makes sense in this context where it's around knowledge, but in many cases, people want the models to hallucinate, to have a go. Often that's the case in coding or when you're trying to generate newer ideas. One eval that we added to artificial analysis is, is, is critical point and it's really hard, uh, physics problems. Okay.swyx [00:33:32]: And is it sort of like a human eval type or something different or like a frontier math type?George [00:33:37]: It's not dissimilar to frontier frontier math. So these are kind of research questions that kind of academics in the physics physics world would be able to answer, but models really struggled to answer. So the top score here is not 9%.swyx [00:33:51]: And when the people that, that created this like Minway and, and, and actually off via who was kind of behind sweep and what organization is this? Oh, is this, it's Princeton.George [00:34:01]: Kind of range of academics from, from, uh, different academic institutions, really smart people. They talked about how they turn the models up in terms of the temperature as high temperature as they can, where they're trying to explore kind of new ideas in physics as a, as a thought partner, just because they, they want the models to hallucinate. Um, yeah, sometimes it's something new. Yeah, exactly.swyx [00:34:21]: Um, so not right in every situation, but, um, I think it makes sense, you know, to test hallucination in scenarios where it makes sense. Also, the obvious question is, uh, this is one of. Many that there is there, every lab has a system card that shows some kind of hallucination number, and you've chosen to not, uh, endorse that and you've made your own. And I think that's a, that's a choice. Um, totally in some sense, the rest of artificial analysis is public benchmarks that other people can independently rerun. You provide it as a service here. You have to fight the, well, who are we to, to like do this? And your, your answer is that we have a lot of customers and, you know, but like, I guess, how do you converge the individual?Micah [00:35:08]: I mean, I think, I think for hallucinations specifically, there are a bunch of different things that you might care about reasonably, and that you'd measure quite differently, like we've called this a amnesty and solutionation rate, not trying to declare the, like, it's humanity's last hallucination. You could, uh, you could have some interesting naming conventions and all this stuff. Um, the biggest picture answer to that. It's something that I actually wanted to mention. Just as George was explaining, critical point as well is, so as we go forward, we are building evals internally. We're partnering with academia and partnering with AI companies to build great evals. We have pretty strong views on, in various ways for different parts of the AI stack, where there are things that are not being measured well, or things that developers care about that should be measured more and better. And we intend to be doing that. We're not obsessed necessarily with that. Everything we do, we have to do entirely within our own team. Critical point. As a cool example of where we were a launch partner for it, working with academia, we've got some partnerships coming up with a couple of leading companies. Those ones, obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that. A lot of the labs have released great data sets in the past that we've used to great success independently. And so it's between all of those techniques, we're going to be releasing more stuff in the future. Cool.swyx [00:36:26]: Let's cover the last couple. And then we'll, I want to talk about your trends analysis stuff, you know? Totally.Micah [00:36:31]: So that actually, I have one like little factoid on omniscience. If you go back up to accuracy on omniscience, an interesting thing about this accuracy metric is that it tracks more closely than anything else that we measure. The total parameter count of models makes a lot of sense intuitively, right? Because this is a knowledge eval. This is the pure knowledge metric. We're not looking at the index and the hallucination rate stuff that we think is much more about how the models are trained. This is just what facts did they recall? And yeah, it tracks parameter count extremely closely. Okay.swyx [00:37:05]: What's the rumored size of GPT-3 Pro? And to be clear, not confirmed for any official source, just rumors. But rumors do fly around. Rumors. I get, I hear all sorts of numbers. I don't know what to trust.Micah [00:37:17]: So if you, if you draw the line on omniscience accuracy versus total parameters, we've got all the open ways models, you can squint and see that likely the leading frontier models right now are quite a lot bigger than the ones that we're seeing right now. And the one trillion parameters that the open weights models cap out at, and the ones that we're looking at here, there's an interesting extra data point that Elon Musk revealed recently about XAI that for three trillion parameters for GROK 3 and 4, 6 trillion for GROK 5, but that's not out yet. Take those together, have a look. You might reasonably form a view that there's a pretty good chance that Gemini 3 Pro is bigger than that, that it could be in the 5 to 10 trillion parameters. To be clear, I have absolutely no idea, but just based on this chart, like that's where you would, you would land if you have a look at it. Yeah.swyx [00:38:07]: And to some extent, I actually kind of discourage people from guessing too much because what does it really matter? Like as long as they can serve it as a sustainable cost, that's about it. Like, yeah, totally.George [00:38:17]: They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment for the labs who are doing inference at scale. It's I think less about total parameters in many cases. When thinking about inference costs and more around number of active parameters. And so there's a bit of an incentive towards larger sparser models. Agreed.Micah [00:38:38]: Understood. Yeah. Great. I mean, obviously if you're a developer or company using these things, not exactly as you say, it doesn't matter. You should be looking at all the different ways that we measure intelligence. You should be looking at cost to run index number and the different ways of thinking about token efficiency and cost efficiency based on the list prices, because that's all it matters.swyx [00:38:56]: It's not as good for the content creator rumor mill where I can say. Oh, GPT-4 is this small circle. Look at GPT-5 is this big circle. And then there used to be a thing for a while. Yeah.Micah [00:39:07]: But that is like on its own, actually a very interesting one, right? That is it just purely that chances are the last couple of years haven't seen a dramatic scaling up in the total size of these models. And so there's a lot of room to go up properly in total size of the models, especially with the upcoming hardware generations. Yes.swyx [00:39:29]: So, you know. Taking off my shitposting face for a minute. Yes. Yes. At the same time, I do feel like, you know, especially coming back from Europe, people do feel like Ilya is probably right that the paradigm is doesn't have many more orders of magnitude to scale out more. And therefore we need to start exploring at least a different path. GDPVal, I think it's like only like a month or so old. I was also very positive when it first came out. I actually talked to Tejo, who was the lead researcher on that. Oh, cool. And you have your own version.George [00:39:59]: It's a fantastic. It's a fantastic data set. Yeah.swyx [00:40:01]: And maybe it will recap for people who are still out of it. It's like 44 tasks based on some kind of GDP cutoff that's like meant to represent broad white collar work that is not just coding. Yeah.Micah [00:40:12]: Each of the tasks have a whole bunch of detailed instructions, some input files for a lot of them. It's within the 44 is divided into like two hundred and twenty two to five, maybe subtasks that are the level of that we run through the agenda. And yeah, they're really interesting. I will say that it doesn't. It doesn't necessarily capture like all the stuff that people do at work. No avail is perfect is always going to be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input files and very specific instructions for that task. And so I think the easiest way to think about them are that they're like quite hard take home exam tasks that you might do in an interview process.swyx [00:40:56]: Yeah, for listeners, it is not no longer like a long prompt. It is like, well, here's a zip file with like a spreadsheet or a PowerPoint deck or a PDF and go nuts and answer this question.George [00:41:06]: OpenAI released a great data set and they released a good paper which looks at performance across the different web chat bots on the data set. It's a great paper, encourage people to read it. What we've done is taken that data set and turned it into an eval that can be run on any model. So we created a reference agentic harness that can run. Run the models on the data set, and then we developed evaluator approach to compare outputs. That's kind of AI enabled, so it uses Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human preferences. One data point there is that even as an evaluator, Gemini 3 Pro, interestingly, doesn't do actually that well. So that's kind of a good example of what we've done in GDPVal AA.swyx [00:42:01]: Yeah, the thing that you have to watch out for with LLM judge is self-preference that models usually prefer their own output, and in this case, it was not. Totally.Micah [00:42:08]: I think the way that we're thinking about the places where it makes sense to use an LLM as judge approach now, like quite different to some of the early LLM as judge stuff a couple of years ago, because some of that and MTV was a great project that was a good example of some of this a while ago was about judging conversations and like a lot of style type stuff. Here, we've got the task that the grader and grading model is doing is quite different to the task of taking the test. When you're taking the test, you've got all of the agentic tools you're working with, the code interpreter and web search, the file system to go through many, many turns to try to create the documents. Then on the other side, when we're grading it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini, and we're providing the criteria for the task and getting it to pick which one more effectively meets the criteria of the task. Yeah. So we've got the task out of two potential outcomes. It turns out that we proved that it's just very, very good at getting that right, matched with human preference a lot of the time, because I think it's got the raw intelligence, but it's combined with the correct representation of the outputs, the fact that the outputs were created with an agentic task that is quite different to the way the grading model works, and we're comparing it against criteria, not just kind of zero shot trying to ask the model to pick which one is better.swyx [00:43:26]: Got it. Why is this an ELO? And not a percentage, like GDP-VAL?George [00:43:31]: So the outputs look like documents, and there's video outputs or audio outputs from some of the tasks. It has to make a video? Yeah, for some of the tasks. Some of the tasks.swyx [00:43:43]: What task is that?George [00:43:45]: I mean, it's in the data set. Like be a YouTuber? It's a marketing video.Micah [00:43:49]: Oh, wow. What? Like model has to go find clips on the internet and try to put it together. The models are not that good at doing that one, for now, to be clear. It's pretty hard to do that with a code editor. I mean, the computer stuff doesn't work quite well enough and so on and so on, but yeah.George [00:44:02]: And so there's no kind of ground truth, necessarily, to compare against, to work out percentage correct. It's hard to come up with correct or incorrect there. And so it's on a relative basis. And so we use an ELO approach to compare outputs from each of the models between the task.swyx [00:44:23]: You know what you should do? You should pay a contractor, a human, to do the same task. And then give it an ELO and then so you have, you have human there. It's just, I think what's helpful about GDPVal, the OpenAI one, is that 50% is meant to be normal human and maybe Domain Expert is higher than that, but 50% was the bar for like, well, if you've crossed 50, you are superhuman. Yeah.Micah [00:44:47]: So we like, haven't grounded this score in that exactly. I agree that it can be helpful, but we wanted to generalize this to a very large number. It's one of the reasons that presenting it as ELO is quite helpful and allows us to add models and it'll stay relevant for quite a long time. I also think it, it can be tricky looking at these exact tasks compared to the human performance, because the way that you would go about it as a human is quite different to how the models would go about it. Yeah.swyx [00:45:15]: I also liked that you included Lama 4 Maverick in there. Is that like just one last, like...Micah [00:45:20]: Well, no, no, no, no, no, no, it is the, it is the best model released by Meta. And... So it makes it into the homepage default set, still for now.George [00:45:31]: Other inclusion that's quite interesting is we also ran it across the latest versions of the web chatbots. And so we have...swyx [00:45:39]: Oh, that's right.George [00:45:40]: Oh, sorry.swyx [00:45:41]: I, yeah, I completely missed that. Okay.George [00:45:43]: No, not at all. So that, which has a checkered pattern. So that is their harness, not yours, is what you're saying. Exactly. And what's really interesting is that if you compare, for instance, Claude 4.5 Opus using the Claude web chatbot, it performs worse than the model in our agentic harness. And so in every case, the model performs better in our agentic harness than its web chatbot counterpart, the harness that they created.swyx [00:46:13]: Oh, my backwards explanation for that would be that, well, it's meant for consumer use cases and here you're pushing it for something.Micah [00:46:19]: The constraints are different and the amount of freedom that you can give the model is different. Also, you like have a cost goal. We let the models work as long as they want, basically. Yeah. Do you copy paste manually into the chatbot? Yeah. Yeah. That's, that was how we got the chatbot reference. We're not going to be keeping those updated at like quite the same scale as hundreds of models.swyx [00:46:38]: Well, so I don't know, talk to a browser base. They'll, they'll automate it for you. You know, like I have thought about like, well, we should turn these chatbot versions into an API because they are legitimately different agents in themselves. Yes. Right. Yeah.Micah [00:46:53]: And that's grown a huge amount of the last year, right? Like the tools. The tools that are available have actually diverged in my opinion, a fair bit across the major chatbot apps and the amount of data sources that you can connect them to have gone up a lot, meaning that your experience and the way you're using the model is more different than ever.swyx [00:47:10]: What tools and what data connections come to mind when you say what's interesting, what's notable work that people have done?Micah [00:47:15]: Oh, okay. So my favorite example on this is that until very recently, I would argue that it was basically impossible to get an LLM to draft an email for me in any useful way. Because most times that you're sending an email, you're not just writing something for the sake of writing it. Chances are context required is a whole bunch of historical emails. Maybe it's notes that you've made, maybe it's meeting notes, maybe it's, um, pulling something from your, um, any of like wherever you at work store stuff. So for me, like Google drive, one drive, um, in our super base databases, if we need to do some analysis or some data or something, preferably model can be plugged into all of those things and can go do some useful work based on it. The things that like I find most impressive currently that I am somewhat surprised work really well in late 2025, uh, that I can have models use super base MCP to query read only, of course, run a whole bunch of SQL queries to do pretty significant data analysis. And. And make charts and stuff and can read my Gmail and my notion. And okay. You actually use that. That's good. That's, that's, that's good. Is that a cloud thing? To various degrees of order, but chat GPD and Claude right now, I would say that this stuff like barely works in fairness right now. Like.George [00:48:33]: Because people are actually going to try this after they hear it. If you get an email from Micah, odds are it wasn't written by a chatbot.Micah [00:48:38]: So, yeah, I think it is true that I have never actually sent anyone an email drafted by a chatbot. Yet.swyx [00:48:46]: Um, and so you can, you can feel it right. And yeah, this time, this time next year, we'll come back and see where it's going. Totally. Um, super base shout out another famous Kiwi. Uh, I don't know if you've, you've any conversations with him about anything in particular on AI building and AI infra.George [00:49:03]: We have had, uh, Twitter DMS, um, with, with him because we're quite big, uh, super base users and power users. And we probably do some things more manually than we should in. In, in super base support line because you're, you're a little bit being super friendly. One extra, um, point regarding, um, GDP Val AA is that on the basis of the overperformance of the models compared to the chatbots turns out, we realized that, oh, like our reference harness that we built actually white works quite well on like gen generalist agentic tasks. This proves it in a sense. And so the agent harness is very. Minimalist. I think it follows some of the ideas that are in Claude code and we, all that we give it is context management capabilities, a web search, web browsing, uh, tool, uh, code execution, uh, environment. Anything else?Micah [00:50:02]: I mean, we can equip it with more tools, but like by default, yeah, that's it. We, we, we give it for GDP, a tool to, uh, view an image specifically, um, because the models, you know, can just use a terminal to pull stuff in text form into context. But to pull visual stuff into context, we had to give them a custom tool, but yeah, exactly. Um, you, you can explain an expert. No.George [00:50:21]: So it's, it, we turned out that we created a good generalist agentic harness. And so we, um, released that on, on GitHub yesterday. It's called stirrup. So if people want to check it out and, and it's a great, um, you know, base for, you know, generalist, uh, building a generalist agent for more specific tasks.Micah [00:50:39]: I'd say the best way to use it is get clone and then have your favorite coding. Agent make changes to it, to do whatever you want, because it's not that many lines of code and the coding agents can work with it. Super well.swyx [00:50:51]: Well, that's nice for the community to explore and share and hack on it. I think maybe in, in, in other similar environments, the terminal bench guys have done, uh, sort of the Harbor. Uh, and so it's, it's a, it's a bundle of, well, we need our minimal harness, which for them is terminus and we also need the RL environments or Docker deployment thing to, to run independently. So I don't know if you've looked at it. I don't know if you've looked at the harbor at all, is that, is that like a, a standard that people want to adopt?George [00:51:19]: Yeah, we've looked at it from a evals perspective and we love terminal bench and, and host benchmarks of, of, of terminal mention on artificial analysis. Um, we've looked at it from a, from a coding agent perspective, but could see it being a great, um, basis for any kind of agents. I think where we're getting to is that these models have gotten smart enough. They've gotten better, better tools that they can perform better when just given a minimalist. Set of tools and, and let them run, let the model control the, the agentic workflow rather than using another framework that's a bit more built out that tries to dictate the, dictate the flow. Awesome.swyx [00:51:56]: Let's cover the openness index and then let's go into the report stuff. Uh, so that's the, that's the last of the proprietary art numbers, I guess. I don't know how you sort of classify all these. Yeah.Micah [00:52:07]: Or call it, call it, let's call it the last of like the, the three new things that we're talking about from like the last few weeks. Um, cause I mean, there's a, we do a mix of stuff that. Where we're using open source, where we open source and what we do and, um, proprietary stuff that we don't always open source, like long context reasoning data set last year, we did open source. Um, and then all of the work on performance benchmarks across the site, some of them, we looking to open source, but some of them, like we're constantly iterating on and so on and so on and so on. So there's a huge mix, I would say, just of like stuff that is open source and not across the side. So that's a LCR for people. Yeah, yeah, yeah, yeah.swyx [00:52:41]: Uh, but let's, let's, let's talk about open.Micah [00:52:42]: Let's talk about openness index. This. Here is call it like a new way to think about how open models are. We, for a long time, have tracked where the models are open weights and what the licenses on them are. And that's like pretty useful. That tells you what you're allowed to do with the weights of a model, but there is this whole other dimension to how open models are. That is pretty important that we haven't tracked until now. And that's how much is disclosed about how it was made. So transparency about data, pre-training data and post-training data. And whether you're allowed to use that data and transparency about methodology and training code. So basically, those are the components. We bring them together to score an openness index for models so that you can in one place get this full picture of how open models are.swyx [00:53:32]: I feel like I've seen a couple other people try to do this, but they're not maintained. I do think this does matter. I don't know what the numbers mean apart from is there a max number? Is this out of 20?George [00:53:44]: It's out of 18 currently, and so we've got an openness index page, but essentially these are points, you get points for being more open across these different categories and the maximum you can achieve is 18. So AI2 with their extremely open OMO3 32B think model is the leader in a sense.swyx [00:54:04]: It's hooking face.George [00:54:05]: Oh, with their smaller model. It's coming soon. I think we need to run, we need to get the intelligence benchmarks right to get it on the site.swyx [00:54:12]: You can't have it open in the next. We can not include hooking face. We love hooking face. We'll have that, we'll have that up very soon. I mean, you know, the refined web and all that stuff. It's, it's amazing. Or is it called fine web? Fine web. Fine web.Micah [00:54:23]: Yeah, yeah, no, totally. Yep. One of the reasons this is cool, right, is that if you're trying to understand the holistic picture of the models and what you can do with all the stuff the company's contributing, this gives you that picture. And so we are going to keep it up to date alongside all the models that we do intelligence index on, on the site. And it's just an extra view to understand.swyx [00:54:43]: Can you scroll down to this? The, the, the, the trade-offs chart. Yeah, yeah. That one. Yeah. This, this really matters, right? Obviously, because you can b

2025 wasn't a failed bull market. It was the start of a structural bear. In this episode, we break down why Bitcoin holding the “blue zone” may signal maturity rather than weakness, and why that shift breaks many of the assumptions crypto has relied on for the last decade. Slower upside, collapsing speculative volume, and pressure on miners aren't anomalies — they're consequences. We revisit the biggest signals from this cycle: Trumpcoin, treasury-company leverage, crypto AI hype, and why on-chain activity quietly evaporated. Then we pivot into AI-generated content, dissecting a viral video that fooled millions and what it reveals about authenticity, persuasion, and trust in the AI era. From there, we look ahead to 2026: – Miner revenue compression and Bitcoin's security budget problem – Why “fees will fix it” isn't enough – Neobanking + stablecoins as the real onboarding wave – Regulation turning crypto into structured internet capital markets We close with the NAT thesis: Bitcoin's long-term sustainability depends on a second subsidy. NAT is explored as a non-arbitrary, miner-aligned solution with a clear catalyst timeline (V1, V2, adoption, flywheel). This isn't about hype. It's about whether crypto becomes infrastructure — or breaks under its own assumptions. Topics: First up, break down why Bitcoin holding the “blue zone” may signal maturity rather than weakness   Next, revisit the biggest signals from this cycle: Trumpcoin, treasury-company leverage, crypto AI hype, and why on-chain activity quietly evaporated.   Finally, Our prediction for 2026 Please like and subscribe on your favorite podcasting app! Sign up for a free newsletter: www.theblockrunner.com Follow us on: Youtube: https://bit.ly/TBlkRnnrYouTube Twitter: bit.ly/TBR-Twitter Telegram: bit.ly/TBR-Telegram Discord: bit.ly/TBR-Discord $NAT Telegram: https://t.me/dmt_nat

Text your thoughts and questions!Are you already feeling the “New Year, New You” burnout before January is even over? The pressure to set massive resolutions, hit the ground running, and overhaul your entire life on January 1st is a recipe for overwhelm. If you're feeling more like you need a nap than a marathon, you're not alone, and you're not failing. This week on episode 295 of the Positively LivingⓇ Podcast, I'm introducing you to a gentler, sustainable approach so you can start the new year with less stress.In this episode of the Positively LivingⓇ Podcast, I'm ditching the concept of an arbitrary date on the calendar that dictates our fresh start and giving you actionable steps to take right now to reach your goals at a pace that actually respects your energy and capacity. I cover the following topics:Embrace the phrase, “start as you mean to go on,” or in other words, choose a starting speed that you can maintain. Take an intentional pause to reflect and move forward in the right direction. Conduct a self-assessment to understand your energy drains, capacity, and current needs.Consider broad intentions over rigid goals to support your overall well-being. Ready to build a year that actually fits your life? Download my free Productivity Toolkit at positivelyproductive.com/plpkit and follow along as we dive into these workbooks in the coming weeks!Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 291: How Slowing Down Makes You More ProductiveEp 293: Simple Filters to Help You Make DecisionsEp 239: How to Choose a Word of the YearDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

V16: ¿Seguridad Vial o Negocio? Desmontando la "Instrucción 2025/20" de la DGT La DGT lo ha vuelto a hacer, y esta vez mediante una instrucción que pone en entredicho el orden jurídico español. Resulta sorprendente que la administración vea necesario emitir una instrucción para "permitir" que los agentes no sancionen a quienes usen el triángulo de preseñalización después del 1 de enero de 2026. Es necesario recordar que el triángulo no es un capricho nacional; está amparado por convenios internacionales que garantizan su uso para anticipar peligros en la vía. Sin embargo, la DGT parece preferir la gestión vía "decretazos" e instrucciones antes que respetar la jerarquía normativa. Preseñalización vs. Señalización: Una diferencia vital Existe un error de concepto técnico de base que la administración no termina de aclarar. Debemos distinguir entre dos conceptos fundamentales: Preseñalización (El Triángulo): Permite al conductor anticipar el peligro. Al verlo a distancia, el usuario puede levantar el pie del acelerador, extremar precauciones o reducir la velocidad mucho antes de llegar al punto del incidente. Señalización (La V16): En el mejor de los casos, la baliza solo señala el punto exacto donde está el problema. Las carencias de la baliza V16 La V16 tiene la misma capacidad de anticipación (o incluso menos) que los warning (intermitentes) del propio coche. En un cambio de rasante, una curva cerrada o ante vehículos de grandes dimensiones como camiones, autocaravanas o coches con techo de lona o cristal, la V16 es directamente invisible hasta que el conductor está encima del obstáculo. La mentira de las estadísticas: ¿25 fallecidos al año? La DGT justifica la "marcianada" de la V16 afirmando que cada año mueren 25 personas atropelladas al ir a colocar los triángulos. No obstante, este dato es cuestionable por una razón sencilla: en España no existe una investigación técnica e independiente de los accidentes de tráfico. La administración no recoge los datos de forma eficiente. En esa cifra de atropellados en carretera se mezclan casos muy distintos: Trabajadores de obras públicas y mantenimiento. Rescatistas y operarios de grúas que retiran vehículos. Peatones que circulan o cruzan indebidamente por la calzada (incluso en autovías). Agentes de la Guardia Civil que asisten en siniestros. Personas que salen del coche sin mirar, pero no necesariamente para poner el triángulo. Afirmar que todos ellos morían por culpa del triángulo es, sencillamente, faltar a la verdad o admitir que no se sabe qué está pasando realmente en nuestras carreteras. El mito de la conectividad en la "España vaciada" Otro de los grandes pilares de la V16 es su supuesta conectividad. Sin embargo, este sistema olvida la realidad de la geografía española: Carreteras convencionales: Es donde se producen la mayoría de los accidentes y reventones por el estado lamentable de la vía. En estas carreteras no hay paneles luminosos que avisen de un vehículo detenido. Centralismo tecnológico: Los paneles informativos que podrían recibir la señal de la V16 están casi exclusivamente en autovías y cerca de grandes capitales como Madrid o Barcelona. Desigualdad en seguridad: ¿Acaso los ciudadanos que circulan por carreteras secundarias —muchas de ellas "ilegales" por no tener el ancho mínimo o señalización correcta— no tienen derecho al mismo nivel de protección? ¿Seguridad o negocio? La V16 ya existía bajo la denominación V2 y era un complemento perfecto para personas con movilidad reducida. El problema surge cuando se convierte en un sustituto obligatorio. Cuando una norma no es técnicamente sólida y su implantación se fuerza mediante un esfuerzo de comunicación brutal en el último mes, la ciudadanía empieza a sospechar. Como dijo el propio director de la DGT en el pasado: "Una norma, para ser cumplida, tiene que ser creíble." La pregunta que queda en el aire es: ¿Hasta qué punto esta medida busca salvar vidas y hasta qué punto es un negocio que obliga a millones de conductores a adquirir un dispositivo con fecha de caducidad? ¿Deseas que prepare un resumen de las diferencias técnicas entre preseñalización y señalización para que tus lectores comprendan mejor por qué el triángulo sigue siendo necesario?

Czy książka wydana 50 lat temu, która opowiada o końcu II wojny światowej i poszukiwaniu tajnej broni Hitlera, czyli rakiet V2, może być książką na nasze czasy? Książką na XXI wiek? Spróbuję odpowiedzieć na to pytanie mówiąc o “Tęczy grawitacji” Thomasa Pynchona.  Opowiem wam też, jak sam przypadkiem, znalazłem w pewnej podlaskiej wsi rakietę V2 oraz o brawurowej akcji Armii Krajowej, która mogłaby znaleźć się w “Tęczy grawitacji”, gdyby Pynchon podrążył pewne wątki swojej książki jeszcze głębiej. A poniżej linki, które wam obiecałem:Czym jest domknięcie poznawcze? Link tutaj: https://psyche.academy/psychologia-osobowosci/teoria-domkniecia-poznawczego/Link do wpisu na mojej stronie, w którym opisuję, jak znalazłem rakietę V2: https://rafalhetman.pl/rakieta-v2-ktorej-szukal-slothrop/Miłego!

Text your thoughts and questions!While every year asks so much of us, it seems 2025 has asked us to stretch and adapt more than usual. We've had to keep showing up even when things felt uncertain and just downright exhausting. That's why throughout the year, I've encouraged you to rethink what productivity looks like. Because when life is happening in real time, adding more pressure to be productive is a fast track to burnout. As I reflect on the conversations we had on the podcast this year, what stands out most isn't any single tip or tool; it's that we talked about productivity in a way that honors real life. That's why in episode 294 of the Positively LivingⓇ Podcast, I am recapping these conversations by sharing my favorite productivity tips for real life. Key takeaways:Your nervous system is part of your productivity system.Systems matter more than motivation or willpower. Doing less is often the most productive move. Shame is the biggest productivity block. Presence matters more than output.Small, supportive steps create real change.As you head into the new year, I want you to remember that you don't need to do more to be successful; you need systems that honor who you are. You can find all of the supporting episodes in the 2025 Recap Episodes Playlist.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)2025 Recap Episodes PlaylistDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

El cohete V2, nombre técnico A4 (Aggregat 4), fue un misil balístico desarrollado a principios de la Segunda Guerra Mundial en Alemania, dirigido específicamente hacia Bélgica y lugares del sudeste de Inglaterra. Este cohete fue el primer misil balístico de combate de largo alcance del mundo y el primer artefacto humano conocido que hizo un vuelo sub orbital. Fue el progenitor de todos los cohetes modernos, incluyendo los utilizados por los programas espaciales de Estados Unidos y de la Unión Soviética, que tuvieron acceso a los científicos y diseños alemanes a través de la Operación Paperclip y la Operación Osoaviakhim respectivamente. La Wehrmacht alemana lanzó en torno a 3.000 cohetes militares V2 contra objetivos Aliados durante la guerra, principalmente Londres y posteriormente Amberes, dando por resultado la muerte de un número estimado de 7.250 personas, tanto civiles como militares. El arma fue presentada por la propaganda Nazi como una venganza por los bombardeos sobre las ciudades alemanas desde 1942 hasta el final de la guerra. Diseñados por Wernher von Braun, muchos de estos misiles fueron disparados desde las costas francesas hacia Londres con el fin de provocar la mayor devastación posible, así como minar la moral del enemigo. Sucesor de la V1 (que era un misil de crucero), este diseño no vio la luz hasta muy avanzada la guerra, por lo que tuvo poco impacto real en esta. El V2 fue uno de los avances más relevantes en tecnología armamentística logrados hasta ese momento. Sin embargo, no pudo cambiar el curso de la guerra, que ya había tomado, en 1944, un giro decisivo hacia la victoria aliada.

Text your thoughts and questions!The end of the year brings a very unique kind of pressure. We're closing out projects, preparing for new ones, finalizing finances, coordinating schedules, attending events, and trying to wrap up the year in ways that feel meaningful and productive. And all of that's on top of our already busy schedules and the added layer of the holidays. As if that isn't already a recipe for burnout, for those in the northern hemisphere, this happens in a season when our energy naturally dips. So how do we survive (and hopefully thrive) during this time of year? This week, episode 292 of the Positively LivingⓇ Podcast is about finishing your year burnout-free!In this episode of the Positively LivingⓇ Podcast, I cut through the “hustle culture” myth and teach you how to honor your seasonal energy by slowing down and speeding up strategically to ensure you finish the year feeling grounded, not drained. I cover the following topics:The productivity paradox: working longer hours quickly leads to burnout, not increased results. Strategic and seasonal approaches to slow down, without stopping, and honor your capacity.A two-part strategy to finish the year burnout-free: reducing capacity and applying intentional sprinting for essential tasks. Remember: your worth is not measured by the number of commitments you complete before December 31st. Don't collapse at the finish line. Instead, choose a grounded, gentle finish that allows you to start the new year rested and ready.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 291: How Slowing Down Makes You More ProductiveEp 290: End Overwhelm Through Intentional Scheduling with Naomi Lerman (Strategy Call)Ep 236: Make Your Holiday Season Less Stressful with the 80/20 PrincipleDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with

Text your thoughts and questions!Are you constantly working faster, yet still feeling behind and burned out? Many of us get trapped in this unsustainable hustle culture cycle because we assume that productivity means doing more, faster. But what if the secret to achieving sustainable results and regaining clarity isn't to hit the gas, but to tap the brakes? This week, episode 291 of the Positively LivingⓇ Podcast is about how slowing down makes you more productive!In this episode of the Positively LivingⓇ Podcast, I'm sharing how strategically slowing down can dramatically increase your focus, reduce mistakes, and prevent overwhelm. I highlight two powerful forms of slowing down so you can work smarter, not harder. I cover the following topics:How slowing your pace can actually make you go faster, make fewer mistakes, and produce better quality output. Simple and effective ways to embrace the power of the pause in an otherwise nonstop world. How you can slow down by reducing demands using the generator principle.Why the two sides of slowing down work together to create productivity magic. Regardless of the path you decide, slowing down means choosing a sustainable, grounded, and deeply effective productivity approach that prioritizes your needs while still helping you get where you want to go.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 274: Manage Your Time Better with Proper TransitionsEp 284: How to Protect Your Peace This Holiday SeasonDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

UTP392 No es la baliza V16, son tus datos Sean bienvenidos a Buscadores de la Verdad, esta vez emitiendo en directo desde el canal UTP Ramón Valero, aqui en Telegram. Ya saben que no nos gusta tratar los temas de actualidad que consideramos están ahí para distraernos de lo realmente importante, pero creo que en esta ocasión es necesario aclarar algunos puntos sobre la imposición de la nueva baliza V16. En casa de mis padres recibiamos la revista gratuita de la Dirección General de Tráfico (DGT), conocida actualmente como Revista Tráfico y Seguridad Vial (anteriormente Revista Tráfico), ha estado operativa en formato papel desde 1985 hasta 2006 donde paso a ser enviada de manera online a través de una renovación en la suscripción. Esta operación de ahorro fue casi una de las primeras cosas que acometió el director de la DGT actual, Pere Navarro, en su primera etapa del 2004 al 2012. Pere Navarro impulsó una de las campañas de publicidad vial más impactantes y polémicas de la historia de España, conocida por sus anuncios televisivos extremadamente dramáticos y crudos, como “La muerte no avisa”, “Víctimas 3D” o los spots que mostraban accidentes reales reconstruidos con gran realismo y testimonios desgarradores de víctimas y familiares. Esta estrategia de “shock advertising”, inspirada en modelos australianos y británicos, buscaba generar un impacto emocional profundo para cambiar conductas. Los resultados fueron espectaculares: en 2003, antes de su llegada, España registraba 5.399 fallecidos en carretera; al final de su mandato, en 2011, la cifra había caído hasta los 1.867 muertos, lo que supuso una reducción del 65 % en solo ocho años, la mayor bajada histórica registrada en tan poco tiempo. A esta campaña se sumaron medidas como la implantación del permiso por puntos (2006), el endurecimiento de sanciones y los radares de tramo, consolidando el periodo 2004-2012 como la etapa de mayor descenso de la siniestralidad vial en España. A partir de 2014, apenas dos años después de la salida de Pere Navarro, la siniestralidad vial en España rompió la tendencia descendente que había sido constante desde 2003 y comenzó a repuntar de forma sostenida: de los 1.688 fallecidos registrados en 2013 (el mínimo histórico) se pasó a 1.830 en 2019 y, tras el paréntesis de la pandemia, a 1.746 en 2023 y 1.795 en 2024 (datos a 31 de diciembre provisional). Este incremento ha alejado definitivamente al país de la hoja de ruta marcada en la Estrategia de Seguridad Vial 2011-2020 y de las previsiones que la DGT presentó en 2006, cuando, sobre la inercia del permiso por puntos y las campañas de choque, se calculaba que España alcanzaría en 2020 menos de 1.000 fallecidos anuales y se situaría por debajo de la media europea más exigente. En 2025 la cifra real duplica prácticamente aquel objetivo y España ha pasado de ser uno de los países que más rápidamente reducían víctimas a situarse en la zona media-baja de la UE, con una tasa de mortalidad por millón de habitantes que ya no mejora desde hace una década y que en 2024 (38 fallecidos por millón) se encuentra muy lejos de los líderes como Suecia (22) o Noruega (26). Por eso en 2018 se vuelve a contratar a la superestrella para ver si se puede rascar algo. La cuestión es que en un pais en deficit, las carreteras se van deteriorando y el mantenimiento es cada vez mas escaso, a la vez que el parque automovilístico envejece por no poder renovarlo y aumentan el numero de conductores procedentes de países del tercer mundo mientras que el parque tecnológico de control vial de la DGT y las comunidades autónomas con competencias transferidas es uno de los más densos y avanzados de Europa. Actualmente operan los siguientes sistemas: Radares fijos: más de 1.400 visibles, los cinemómetros clásicos en pórtico o poste, Veloláser que la DGT rota entre cabinas vacías para que no se sepa exactamente dónde están. También unos 80 “de baja altura” u ocultos. La DGT tiene un plan para instalar 122 nuevos puntos de control de velocidad a lo largo de 2025. Radares de tramo: 92 tramos operativos en 2025 con unos 232 radares, que miden la velocidad media entre dos puntos. Cubren unos 1.200 km de vías de alta capacidad. Radares móviles: unos 700 dispositivos (la mayoría Veloláser de última generación) usados por Guardia Civil y policías autonómicas/municipales. Pueden instalarse en trípode, en el guardarail, dentro de coche camuflado, motos camufladas y camiones o incluso en coche en movimiento (sin parar). El total de radares en España (todos los tipos, incluidas competencias autonómicas/ayuntamientos) es de 3.395 dispositivos en algún estudio reciente de 2025. Cámaras de cinturón y móvil: desde 2021 se han ido instalando progresivamente. En 2025 hay más de 400 cámaras certificadas que detectan simultáneamente el no uso del cinturón y el manejo del móvil. Funcionan día y noche y ya sancionan automáticamente. Cámaras de reconocimiento de matrículas (OCR): más de 1.200 instaladas en pórticos, postes y coches patrulla. Sirven para: Controlar vehículos sin ITV o sin seguro. Detectar coches robados o reclamados judicialmente. Vigilar el acceso a Zonas de Bajas Emisiones (ZBE) de las ciudades. Hacer seguimiento de flotas y detectar infracciones reiteradas. Cámaras fijas de 360º: Se estima que hay al menos 1.492 cámaras fijas de tráfico distribuidas en unas 150 carreteras de la red nacional y autonómica, muchas de las cuales incorporan tecnología PTZ (pan-tilt-zoom) que permite una visión panorámica de 360 grados para ofrecer imágenes en movimiento de alta resolución, tanto para agentes como para el público a través de herramientas como Infocar de la DGT. A esto debemos sumar las que existan en Cataluña y Pais Vasco dentro de sus propios sistemas de trafico y las operadas por operadores privados en autopistas. Cámaras en peajes y pórticos “Free-Flow”: desde la supresión de peajes físicos en muchas autopistas (AP-7, AP-4, etc.), se han instalado cientos de pórticos con cámaras 3D que identifican la matrícula delantera y trasera y miden velocidad instantánea al mismo tiempo. Detectores de kamikazes: desde 2022 se han instalado más de 120 sensores en autovías y autopistas de doble calzada (principalmente Cataluña, Valencia, Andalucía y Madrid). Son cámaras y sensores LIDAR que detectan vehículos circulando en sentido contrario en menos de 15 segundos y activan paneles luminosos con la alerta “KAMIKAZE” y avisos a la Guardia Civil. En 2024-2025 se ha ampliado el despliegue a Galicia, Castilla y León y Aragón. Drones: la DGT dispone de 39 drones Pegasus con cámara 4K y zoom de 180x que vigilan especialmente en operaciones especiales, carreteras secundarias y eventos masivos (Semana Santa, verano, puentes). Helicópteros: 9 helicópteros en activo y 2 en proyecto equipados con radar Pegasus que pueden controlar hasta 8 carriles simultáneamente y sancionar mientras vuelan a 300-400 km/h de velocidad. Todo este arsenal tecnológico ha permitido que en 2024 se formularan más de 5,5 millones de denuncias automatizadas (el 92 % del total), pero también ha generado la sensación de que, pese a la vigilancia masiva, la mortalidad no baja desde hace diez años, lo que ha llevado a debates sobre si el enfoque exclusivamente sancionador y tecnológico ha tocado techo y necesita complementarse con otras medidas (educación, diseño de carreteras más seguras, renovación del parque móvil, etc.). Pues a todo este despliegue monstruoso de control viene a sumarse una triste lucecita para poner en el techo con la excusa de salvar 25 vidas por atropellos en las carreteras, en palabras textuales de la DGT: "La sustitución de los triángulos está justificada por motivos de seguridad vial, al considerar el riesgo de atropello que supone la colocación de los triángulos por tener que andar, al menos, 100 metros por la calzada sin que haya garantía de que se mantengan en su sitio una vez colocados.” "Con el propósito de avanzar en el ámbito de la seguridad vial y la reducción de accidentes, nace el dispositivo V16.” Según el director general Pere Navarro: "La implantación de la V16 conectada supone un salto adelante y nos sitúa como referentes europeos en seguridad vial. Permite señalizar sin salir del vehículo, evita riesgos innecesarios y aporta información vital a los demás usuarios de la vía." "El objetivo de implantar este nuevo dispositivo de preseñalización en los vehículos es mejorar la seguridad vial, intentando reducir los accidentes de tráfico, sobre todo los provocados por vehículos inmovilizados y estacionados en el arcén.” Os leo textualmente los apartados del articulo 130 del Reglamento General de Circulación de España publicado en el BOE en el Real Decreto 159/2021, de 26 de febrero, dice así: Artículo 130. Señalización e inmovilización de vehículos. 1.Los conductores deberán señalizar la situación de peligro creada por la avería de su vehículo o por el accidente sufrido, adoptando las medidas necesarias para su propia seguridad y la de sus acompañantes, y para la de los demás usuarios de la vía. 2.Si el vehículo o la carga obstaculizan la calzada, deberán señalizarse y retirarse lo antes posible. En tanto no se haya producido la retirada, el vehículo deberá estacionarse de acuerdo con lo dispuesto en el artículo 91.2. 3.En caso de accidente o avería, como norma general, los ocupantes deberán abandonar el vehículo y situarse en un lugar seguro fuera de la calzada, por el lado contrario a la circulación, sin invadir los carriles de circulación ni el arcén. En el supuesto de que no exista un lugar seguro, los ocupantes deberán permanecer dentro del vehículo con el cinturón de seguridad abrochado. 4.Mientras se efectúen las actuaciones para retirar el vehículo de la vía, se utilizará el dispositivo de preseñalización de peligro reglamentario. 5.No se efectuará el atestado del accidente en la calzada, debiendo realizarse en un lugar seguro fuera de la vía. Juan Carlos Toribio, ex-Guardia Civil representante de la Unión Internacional para la Defensa de los Motociclistas nos dice claramente en un video que estamos obligados a señalizar en caso de obstruir la calzada, esto es, la zona por donde circulan los coches y no si logramos detenernos en el arcén. Desgraciadamente nos lo dejan claro en el articulo Artículo 91. Inmovilización del vehículo en casos de emergencia o de peligro. Donde en su apartado 2 se dice: 2. Cuando, por emergencia, el vehículo haya de permanecer detenido o estacionado en la calzada o en el arcén, el conductor estará obligado a adoptar las medidas necesarias para que resulte perfectamente perceptible y para que se retire lo antes posible de la vía. Volviendo al tema de los accidentes mortales que nos han traído hasta aqui, no hay un informe monográfico que confirme cuántos de estos incidentes fueron directamente por colocar o retirar los triángulos, ni cuántos involucraron a conductores particulares versus trabajadores profesionales de la carretera (como operarios de mantenimiento vial, grúas o servicios de emergencia, que representan un subgrupo significativo de peatones expuestos en arcenes, según el Registro Nacional de Víctimas de Accidentes de Tráfico). La propia DGT admite en comunicados que "no existen estudios específicos que determinen cuántas de esas víctimas lo fueron al colocar los triángulos", y expertos independientes, como en análisis de 2025, cuestionan la precisión de la cifra de "25" como aproximada y no exacta, sugiriendo que podría inflar el riesgo para justificar la baliza V-16. En su lugar, la justificación se basa en informes agregados como la Instrucción MOV-2023/15, que destaca el "notable incremento del riesgo de atropello" en autopistas/autovias por transitar el arcén, sin desglose laboral, y en la Estrategia de Seguridad Vial 2030, que agrupa estos datos en categorías amplias de "peatones vulnerables en vías interurbanas" sin diferenciar perfiles profesionales. La Estrategia de Seguridad Vial 2030 de España, aprobada en diciembre de 2021 por el Consejo de Ministros, se presenta oficialmente como la contribución nacional al cumplimiento del Objetivo de Desarrollo Sostenible 3.6 de la Agenda 2030 de Naciones Unidas, que establece textualmente: «Para 2030, reducir a la mitad el número de muertes y lesiones causadas por accidentes de tráfico en el mundo». La propia DGT lo reconoce así en su documento oficial: «Esta Estrategia se alinea con la Agenda 2030 para el Desarrollo Sostenible y, en concreto, con la meta 3.6», y adopta el mismo horizonte temporal (2030) y el mismo objetivo cuantitativo: reducir un 50 % las víctimas mortales y los heridos graves respecto a la base 2019 (1.755 fallecidos y 8.558 heridos graves hospitalizados). Además, incorpora explícitamente los principios de la Agenda 2030 (Visión Cero muertes y lesiones graves, Sistema Seguro, enfoque basado en datos, gobernanza multinivel y participación de la sociedad civil) y se integra en el marco europeo del Plan de Acción de Seguridad Vial 2021-2030 de la Comisión Europea, que también toma como referencia la meta 3.6 de la ONU. En resumen, la Estrategia española no es solo un plan nacional de tráfico, sino la herramienta con la que España pretende cumplir formalmente su compromiso internacional asumido al firmar la Agenda 2030 en septiembre de 2015. Vivimos en un país donde la esquizofrenia política roza lo caricaturesco: hace solo cinco meses, el 16 de junio de 2025, Vox presentó y defendió en el Congreso una Proposición No de Ley con el nombre “la mejora de la seguridad de los trabajadores que prestan servicio en carretera” y pidió acelerar la obligatoriedad de la baliza V-16 conectada (la misma que ahora llaman “nuevo impuesto encubierto”), logrando su aprobación con los votos del PP, los votos en contra del PSOE y todos sus socios y la abstención de Junts. Su entonces portavoz de Tráfico, Francisco José Alcaraz —el ex-peluquero convertido en diputado—, llegó a calificarla de “tecnología innovadora que salvará vidas” y exigió al Gobierno que no retrasara más su implantación definitiva. Hoy, el mismo partido pide la paralización inmediata de la medida que él mismo forzó, demostrando que en España la coherencia política tiene menos recorrido que un triángulo de emergencia en plena autovía. En 2026, cuando se haga efectiva la obligatoriedad de este nuevo artefacto de control, llevaré 40 años conduciendo por las carreteras de España y de Europa. 4 décadas en las que he visto muchas cosas en los mas de un millón de kilómetros recorridos a una media de 25.000 km al año. He tenido que usar muchas veces la señalización pasiva que ofrecen los triángulos y he visto su eficacia de noche, a pleno sol, en curvas, cambios de rasante y todo tipo de condiciones atmosféricas. Sin embargo Pere Navarro no habrá conducido ni un solo kilometro ya que nunca ha tenido carnet de conducir y siempre ha tenido chofer particular, como político estrella que ha sido. Las condiciones meteorológicas o la cobertura impedirán en un montón de ocasiones que este flan Dhul con luces sirva para algo. Hay muchas carreteras en España, incluidos trozos de autovías, donde no hay cobertura y por tanto no funcionara la geolocalización. Y este cacharro como bien dice AlainCreaciones no es a prueba de agua. La carcasa de plástico es de una calidad muy baja con pestañas de acople, sin tornillos lo que hace que la baliza tenga una protección mínima exigida por el BOE de IP54 aunque existan algunas con IP66 que ya garantizan protección contra polvo y lluvia intensa. En situación de lluvia las de menor IP tendrán fallo electrónico garantizado. Por no hablar de la durabilidad de las pilas que según el pliego de características técnicas de los dispositivos de preseñalización V-16 establecidas por la Dirección General de Tráfico (DGT) en su normativa de homologación (Instrucción MOV-2023/15 y requisitos de certificación UNE-EN 12352), la duración mínima exigida a los fabricantes para la pila o batería es de 18 meses de vida útil en reposo, independientemente de si se trata de pilas alcalinas no recargables o baterías de litio recargables. Esta especificación garantiza que el dispositivo permanezca operativo sin uso durante al menos ese periodo desde su fabricación o última carga completa, complementada con una autonomía mínima de 30 minutos de funcionamiento continuo una vez activado para emitir luz intermitente de alta intensidad. El fabricante entre otros muchos datos recibe el estado de nuestras baterías en la baliza, me pregunto para que, lo que levanta las sospechas de que el software pueda hacer otras cosas a parte de simplemente marcar el punto del accidente. Una vez agotadas, la V16 es como dice Rose Saint Olaf (ManzanaDori) un flan Dhul en el techo del coche. Eso en el mejor de los casos, porque una batería de litio dejada al sol en pleno verano en España puede terminar en tragedia, así que mejor a pilas entrecomillas “de toda la vida” que lo máximo que harán será sulfatarse y estropear la electrónica. Os puedo asegurar que en mis 40 años al volante he necesitado indicar mi avería en la carretera durante bastantes horas en alguna ocasión. Los triángulos, como he dicho anteriormente otorgan una seguridad mediante elementos pasivos, reflectantes, que no necesitan de una fuente de energia externa para funcionar y se ven desde bastante mas distancia que este flan Dhul a pilas. Entonces, si la DGT no ha demostrado con datos desglosados y públicos que esos 25 atropellos anuales se deban realmente a la colocación de triángulos (y no a otros factores como reparaciones, cambios de rueda o trabajadores en la vía), si la baliza V16 conectada no mejora la visibilidad respecto a las versiones no conectadas ya permitidas desde 2021 algunas como las V2 con sirenas giratorias enchufadas al encendedor del vehículo, y si su principal ventaja (la geolocalización) solo será obligatoria a partir de 2026 y aún no está plenamente operativa en todos los navegadores y paneles… ¿por qué se impone de forma tan drástica y urgente una medida que obliga a 30 millones de conductores a gastar entre 25 y 60 € en un dispositivo nuevo, que genera rechazo masivo por la sensación de impuesto encubierto, que se ha comunicado de forma confusa y tardía, y ha sido alimentada por bulos (chip de seguimiento, multas automáticas, negocio de empresas afines, etc.) que la propia DGT no ha desmentido con la claridad y antelación necesarias? La pregunta no es si la V16 es útil o no; es por qué se ha convertido en símbolo de una gestión autoritaria, poco transparente y desconectada de la realidad de la ciudadanía. Y aqui es donde debemos sospechar que la DGT simplemente está trabajando para otras entidades supranacionales que son las que verdaderamente están detrás de la implementación de la Agenda 2030 como he comentado antes. Eso sí, gracias a esta tecnologia la DGT obtendría algún beneficio oculto a simple vista. Vamos a analizar los datos que nos permiten asegurar sin ningún genero de dudas lo que se esconde aqui. Es verdad que algunas balizas V-16 conectadas (no todas) incluyen o recomiendan la instalación de una aplicación móvil específica del fabricante para acceder a funcionalidades adicionales, como la confirmación de recepción de alertas por la DGT, el aviso automático a contactos de emergencia vía WhatsApp, la gestión de flotas o la verificación del estado del dispositivo. En estos casos, la app sí puede solicitar datos personales del usuario (nombre, email, teléfono) y del vehículo (matrícula, tipo, bastidor o datos del seguro) para vincular la baliza a un perfil concreto y personalizar el servicio, lo que facilita la integración con plataformas como DGT 3.0 o apps de aseguradoras. Ejemplos incluyen la app SOS Alert de FlashLED/Telefónica Tech, que pide estos datos para "toda la información de tu vehículo en la APP", o apps de marcas como SOOS o LEDONE, donde se registra la matrícula para asociar la geolocalización en emergencias. Sin embargo, esto no es un requisito obligatorio de la DGT ni para la homologación ni para el uso básico de la baliza: la normativa (Instrucción MOV-2023/15) establece que el dispositivo funciona de forma autónoma con su chip GPS y SIM integrada, transmitiendo solo la ubicación anónima (sin matrícula ni identidad) a la plataforma DGT 3.0 al activarse, sin necesidad de apps, registros previos o cesión de datos a la Administración. La Agencia Española de Protección de Datos (AEPD) lo confirma explícitamente: "Para mandar la ubicación del vehículo incidentado no es necesario instalar ninguna aplicación", y "la baliza no transmite ningún tipo de datos personales ni relacionados con el vehículo" más allá del identificador técnico anónimo de cada baliza. La DGT advierte que las apps de fabricantes son opcionales y que el comprador "no tiene por qué facilitar ningún tipo de dato", ya que el proceso es completamente anónimo. O sea, la baliza tiene una ID única que la identifica, lo cual podría permitir anexar datos a esa ID, algo asi como el numero PNR que cada uno de nosotros tenemos asignados aunque ni siquiera seamos conscientes de ello. El reciente ciberataque a la Dirección General de Tráfico (DGT), detectado el 31 de mayo de 2024, ha expuesto los datos personales y vehiculares de más de 34 millones de conductores españoles, incluyendo DNIs, direcciones, matrículas y detalles de seguros, que ahora circulan en el dark web para su venta. Este incidente pone de manifiesto la creciente vulnerabilidad de los sistemas públicos ante amenazas cibernéticas, y genera preocupación sobre cómo estos datos podrían cruzarse con otros registros estatales para un seguimiento más exhaustivo de la movilidad ciudadana. Por ejemplo, al entrar en vigor la obligatoriedad de las balizas V16 –dispositivos que transmiten la ID única y la geolocalización en caso de avería–, surge la posibilidad de que se integren con la información filtrada de la DGT, permitiendo un mapeo detallado de trayectos vehiculares en tiempo real. A esto se suma que el Estado ya nos tiene en listas a través del Registro de Nombres de Pasajeros (PNR), implementado tras el 11S, que recopila datos de todos los vuelos de entrada, salida o escala en España, viajes en tren de largo recorrido y pernoctación en hoteles para fines de seguridad, abarcando identidades, itinerarios y preferencias de viaje. Podrán encontrar más información en los enlaces que se publicaran junto a la descripción de este podcast en Ivoox. Pero, sigamos. Según la Dirección General de Tráfico (DGT), en su página oficial sobre los Dispositivos de preseñalización V16, se debe llevar la baliza de la siguiente manera para evitar multas: "Debemos llevarla en la guantera de nuestro vehículo". Esto implica que, a partir del 1 de enero de 2026, cuando sea obligatoria, todo conductor estará sancionado con 80 euros (infracción leve) si no dispone de ella homologada y lista para usar en su interior, accesible y con batería o pila en buen estado (mínimo 18 meses de vida útil en reposo). Respecto a "activada", la DGT aclara textualmente que "en el momento en que tengamos que señalizar que nuestro vehículo está inmovilizado en carretera, lo único que debemos hacer es encender la baliza y colocarla en el exterior del mismo. Por eso es tan importante que la guardes a mano y que la lleves siempre cargada, ya sea con baterías o con pilas, en función del modelo de la baliza que hayas adquirido”. Bien. La baliza solo dispone de un único botón, se trata de un pulsador que activa inmediatamente las luces led y la geolocalización de la baliza a los 100 segundos de la pulsación. Con otra pulsación la apagamos y supuestamente deja de enviar nuestra geolocalización. Pero esto se ha demostrado falso ya que se le han realizado pruebas donde se ve que el router eSIM que monta emite datos estando apagada pero con las pilas puestas. Se ha elegido este tipo de transmisión de datos ya que hace que sea imposible evitar su funcionamiento extrayendo la tarjeta SIM que esta integrada en dicho modulo electrónico. Los desmontajes de las balizas han arrojado que solo disponen de un controlador de software, una antena GPS y este router de comunicación. Dicha comunicación es full duplex y permite la salida y entrada de datos asi como existe en la placa base de la baliza un sistema de introducción y extracción de datos manual y actualización del firmware. Todo el software está encriptado dentro del chip controlador y hasta donde yo se todavía ningún hacker ha podido desvelar exactamente que hace dicho software, pero debemos sospechar que podría hacer algo más que comunicar anónimamente nuestra geolocalización tras pulsar el botón. Leemos un articulo en bandaancha punto eu titulado “El dominio al que las balizas V-16 envían datos no pertenece a la DGT, sino a un misterioso usuario particular”. “Los más de 30 millones de balizas V-16 que tendrán que adquirir los propietarios de vehículos para cumplir con la normativa que entra en vigor el 1 de enero, no están programadas para llamar directamente a los sistemas de la DGT cuando se activan para señalizar la detención de un vehículo. La Resolución de la DGT publicada en noviembre de 2021 en el BOE que define el funcionamiento técnico de las balizas1, establece 2 protocolos, Protocolo A y B. El llamado protocolo A contiene el conjunto de campos que se exige a los fabricantes que remitan sus balizas. Entre los campos encontramos un identificador único de la baliza, el IMEI del módem que conecta con la red móvil, nivel de batería y por supuesto, las coordenadas geográficas que permiten a la DGT conocer la posición sobre el mapa del vehículo. Pero esta información no llega a los servidores de la DGT. La norma obliga a los fabricantes a mantener un servicio en la nube encargado de procesar todas las peticiones que llegan de las balizas de su marca como tráfico UDP sobre IP. El servidor es accesible mediante un APN privado integrado en la eSIM de la baliza, que no tiene acceso a internet. Este punto crítico para el funcionamiento de todas las balizas de un fabricante deberá mantenerse en funcionamiento durante los 12 años en los que se garantiza el servicio de conectividad. La caída del servicio de un fabricante, bien por problemas técnicos o por el cierre de la empresa, algo que podría ocurrir más fácilmente con las marcas creadas ad-hoc para aprovechar el boom de la venta de balizas, dejaría fuera de juego a las miles de balizas de la marca. Es por ello que el pliego técnico del concurso en el que se adjudicó la creación de la DGT 3.0 a un grupo de empresas lideradas por Vodafone, contemplaba la posibilidad de habilitar sistemas de respaldo para los fabricantes. Los servidores del fabricante de la baliza son los encargados de, en un segundo paso, reenviar los datos de un incidente en curso a los servidores de la DGT. Lo hacen aplicando el protocolo B, que a día de hoy contiene un conjunto reducido de los datos originalmente enviados por la baliza a su fabricante. Cambiar los campos del protocolo A es prácticamente inviable, puesto que requeriría actualizar manualmente el firmware de las balizas. Mucho más sencillo resulta para la DGT vía publicación de nueva Resolución en el BOE modificar el protocolo B, ampliando si lo desea sus campos con los que ya reciben los fabricantes. El dominio de entrada a la DGT 3.0 está a nombre de un particular. La DGT invita a los fabricantes de dispositivos y desarrolladores de apps a conectarse a su nube DGT 3.0 publicando en su web2 los repositorios en Github que contienen los detalles para acceder al servicio. En el caso de las V-16, la nube de los fabricantes debe enviar los eventos de las balizas activas en formato json a una URL en concreto: https://pre.cmobility30.es/v16/ Aunque el subdominio pre probablemente indica que se trata de la versión del servicio habilitada para hacer pruebas antes de su paso a producción, el dominio cmobility30.es figura en la documentación de todas las APIs de la DGT 3.0, siendo por tanto un elemento crítico para el funcionamiento de la plataforma DGT 3.0. Sin embargo, la DGT no tiene la titularidad de este dominio. Al consultar el whois de cmobility30.es en los registro de Red.es no aparece como propietario la DGT ni otro organismo gubernamental. Tampoco la UTE (Unión Temporal de Empresas) designada para operar la DGT 3.0, si no que su titular es un misterioso usuario particular.” O sea, toda la arquitectura de registro de datos de un pais entero pasa por un servidor alojado en un dominio de internet a nombre de un tal Ivan Vega. Imagino que seria bastante fácil de tumbar en un ataque por hackers. Hemos visto varias cosas interesantes, esta decisión proviene de ámbitos superiores incluso a Europa por lo que va a ser muy difícil tumbarlo judicialmente y se busca algo mas que simplemente señalizar el punto donde se ha producido el accidente cosa que normalmente hace el propio accidentado con su movil, ya que la baliza no indica el punto al 112 por ejemplo, cosa que si debemos hacer nosotros. La baliza parece más bien un caballo de Troya para irnos acostumbrando a ser geolocalizados en el coche de forma constante en un futuro. Cosa que ya ocurre desde que empezamos a utilizar los teléfonos inteligentes, asi de tontos somos en realidad. La mejor forma de impedir su implementación es no comprar dichas balizas y arriesgarnos a ser multados con esos 80 euros. En mi experiencia en la carretera jamas se me pidió por parte de la Guardia Civil el que les mostrara los triángulos y se que muchos de ellos no ven con buenos ojos el haber pasado de unas medidas de prevención pasivas a una luz que necesita energia externa y que en muchos casos dejara de funcionar en apenas unos minutos. Visto que dichas balizas no tienen botón de apagado, ni tarjeta SIM que extraer para que no envíe datos, y que se nos exige llevar las pilas puestas recomiendo el aislarlas electromagnéticamente para impedir que puedan comunicar nuestra posición GPS mientras no la necesitemos para señalizar un accidente. Hay dos formas, o comprando una funda jaula de Faraday que nos costara lo mismo que una baliza o envolverla en tres o cuatro capas de papel de aluminio, también servirían esas bolsas que se utilizan en el supermercado para transportar comida en frio. Otra medida que los volvería locos es que intercambiaramos nuestras balizas con otros conductores ya que oficialmente nos dicen que los datos son anónimos aunque cada baliza cuente con un numero ID de identificación único. De momento no está claro si encender una baliza fuera de una vía donde circulen vehículos es un delito así que la saturación de las redes provocando eventos de encendido en masa también seria una buena forma de protesta. Conociendo los datos que ese protocolo B transmite en ultima instancia a la DGT no podemos asegurar que el fin ultimo sea conocer nuestra posición y velocidad en la carretera en la actualidad. Pero como he dicho, es muy probable que en un futuro, se utilicen dichos datos para empezar a implementar mas radares y controles en las zonas donde se incumplan los limites de velocidad, todo apunta a ello. Los datos son el oro en la actualidad, y más si son gratis. El actual director general de la DGT, Pere Navarro Olivella, fue alcalde de Terrassa entre 2000 y 2007 y ex líder del PSC del 2011 al 2014. Y por supuesto, como todo “buen político” fue “investigado" por un presunto delito de tráfico de influencias dentro del llamado caso Mercurio. La juez Beatriz Faura, del Juzgado de Instrucción número 2 de Sabadell, lo citó a declarar el 24 de febrero de 2016 sobre la ayuda que presto a un empresario amigo, Nicola Pedrazzoli, a obtener una concesión de un canal de TDT. El caso Mercurio ha tenido ramificaciones amplias, con imputaciones por cohecho, prevaricación y blanqueo aunque Pere Navarro ha quedado al margen de todo. En 2011, Pere Navarro, recién reincorporado como director general de Tráfico tras un breve paréntesis político, decidió trasladar su despacho y toda su unidad del edificio de la DGT en José Abascal 44 al número 28 de la misma calle, exactamente al mismo inmueble que él mismo había abandonado en 2007 para irse al 44. El argumento oficial fue “estar más cerca del secretario general del organismo” y mejorar la coordinación, una justificación que resultó ridícula para muchos: los dos edificios están a apenas 200 metros de distancia y ya estaban conectados internamente. El traslado fue percibido como un capricho personal sin ninguna utilidad real, especialmente en pleno pico de la crisis económica, con España sometida a recortes sociales y un desempleo del 21 %. El coste de esta operación rozó el millón de euros (según la información publicada por La Razón y nunca desmentida oficialmente): reformas integrales del despacho, mobiliario de lujo, nuevos archivadores, traslado de todo el personal del Observatorio Nacional de Seguridad Vial y acondicionamiento completo de la planta. En un momento en que el Gobierno exigía sacrificios a los ciudadanos y se recortaban prestaciones básicas, gastar cerca de un millón de euros en cambiar de edificio dentro de la misma calle para “estar más cómodo” se convirtió en uno de los símbolos más claros del despilfarro de ciertos altos cargos socialistas y alimentó durante años la imagen de Navarro como gestor poco sensible a la situación del país. Pero no vamos a terminar hundidos en el pesimismo, os voy a dar una buena noticia para variar. Y es que Aena, el operador estatal que lleva nuestros aeropuertos, ha tenido que desactivar el embarque biométrico tras recibir una sanción millonaria. Leemos en un noticia: “La Agencia Española de Protección de Datos, AEPD, ha condenado al operador aeroportuario Aena a una multa de 10 millones de euros y ha ordenado el cierre inmediato de todas las puertas biométricas de embarque. La razón de esta sanción estriba en que Aena no realizó una evaluación obligatoria de impacto en la protección de datos antes de introducir la tecnología que permite el reconocimiento de los pasajeros por su aspecto físico. Tras las quejas de los viajeros, la AEPD inició una investigación, que la ha llevado a condenar a Aena por no haber realizado la comprobación de los efectos que el reconocimiento biométrico puede tener en la protección da datos.” Desgraciadamente dicha agencia ha dado el visto bueno este mismo 20 de noviembre a las balizas V16 siempre y cuando, y leo textualmente: “estos dispositivos están destinados exclusivamente a la visibilización del vehículo accidentado y el envío de la ubicación de un incidente al activarse, prohibiendo expresamente que incorporen funcionalidades adicionales.” O sea, según ellos al más mínimo indicio de que hacen algo más dicha agencia las quitara de en medio. Sin embargo no han dicho ni mu sobre que el dominio por donde circularán los datos de millones de españoles este en manos de un tipo llamado Ivan Vega. Preparemonos para lo peor pero esperemos lo mejor. Os invito a que no compréis dicha lucecita y que desobedezcáis en masa una medida dictatorial como esta. De momento el señor Pere Navarro ya ha dicho que nos dará un periodo de gracia. En 2020, mientras todos mirábamos hipnotizados la tele y aplaudíamos a las ocho, el Gobierno lanzó en la sombra el mayor experimento de rastreo masivo jamás visto en España: un proyecto secreto del INE, la DGT y las grandes telecos (Movistar, Vodafone, Orange) para geolocalizar en tiempo real los 47 millones de móviles del país con una precisión de pocos metros. Sin pedir permiso a nadie, activaron la extracción masiva de datos de antenas y señales GPS anonimizadas… o eso nos contaron. Cada desplazamiento, cada salida al supermercado, cada viaje al pueblo quedó registrado y cruzado con bases de datos demográficas para crear mapas de colores que mostraban exactamente quién obedecía el confinamiento y quién no. Oficialmente era “para estudiar la movilidad durante la pandemia”; en realidad fue el ensayo general perfecto del sistema que hoy usa la DGT 3.0: la misma infraestructura que mañana recibirá la señal de tu baliza V16 conectada cuando te averíes… y que, casualmente, ya sabe perfectamente por dónde te mueves cada día sin que tú hayas hecho nada. El conejo ya estaba dentro del sombrero hace cinco años; ahora solo falta que enciendas la lucecita para que sepan exactamente dónde estás parado. Coincidencia, claro. ………………………………………………………………………………………. Conductor del programa UTP Ramón Valero @tecn_preocupado Canal en Telegram @UnTecnicoPreocupado Un técnico Preocupado un FP2 IVOOX UTP http://cutt.ly/dzhhGrf BLOG http://cutt.ly/dzhh2LX Ayúdame desde mi Crowfunding aquí https://cutt.ly/W0DsPVq …. Participantes ………………………………………………………………………………………. Enlaces citados en el podcast: AYUDA A TRAVÉS DE LA COMPRA DE MIS LIBROS https://tecnicopreocupado.com/2024/11/16/ayuda-a-traves-de-la-compra-de-mis-libros/ Baliza de Angel Gaitan proviene directamente de los guardiaciviles https://x.com/gisbert_ruben/status/1994144991539822895 La baliza envía datos pero no directamente a la DGT https://x.com/bricotienda/status/1993604138664345755 La super iluminación de una pila https://x.com/Anonymous_TA/status/1993197306276200712 He DESMONTADO la BALIZA V16 ¿Qué oculta realmente? https://www.youtube.com/watch?v=qb1zhS9M0ks&t=878s La V16 no es a prueba de Agua https://x.com/AlainCreaciones/status/1992536649189015876 El dominio al que las balizas V-16 envían datos no pertenece a la DGT, sino a un misterioso usuario particular https://bandaancha.eu/articulos/dominio-balizas-v-16-envian-datos-no-11583 Baliza V16 impulsada por VOX https://x.com/Davidmartin341/status/1992750051869814952 VOX exige la paralización inmediata de la imposición de la baliza V16 que esconde un nuevo impuesto contra los españoles https://gaceta.es/espana/vox-exige-la-paralizacion-inmediata-de-la-imposicion-de-la-baliza-v16-que-esconde-un-nuevo-impuesto-contra-los-espanoles-20251126-1305/ ¿Dónde envían datos las balizas V16? ¡No es a la DGT! https://www.youtube.com/watch?v=qx1tVTHLM48&t=3s Datos movilidad durante el COVID https://www.ine.es/covid/covid_movilidad.htm Las carreteras españolas ya tienen 3.395 radares, el mayor aumento desde 2021 https://www.coches.net/noticias/numero-radares-carreteras-espana ESTO ES RIDÍCULO: ¡No compres tu baliza V16 sin ver esto! "LA DGT incumple la ley constantemente" https://www.youtube.com/watch?v=17KZ6WLGPmQ LO QUE NO DEBERIAS SABER SOBRE EL PNR https://tecnicopreocupado.com/2019/03/14/lo-que-no-deberias-saber-sobre-el-pnr/ Qué datos suyos tienen los hackers de la DGT tras la filtración de 34,5 millones de usuarios https://es.euronews.com/my-europe/2024/06/01/que-datos-tuyos-tienen-los-hackers-de-la-dgt-tras-la-filtracion-de-345-millones-de-usuario Aena desactiva el embarque biométrico tras recibir una sanción millonaria https://www.tourinews.es/resumen-de-prensa/notas-de-prensa-destinos-turismo/aena-desactiva-embarque-biometrico-recibir-sancion-millonaria_4489851_102.html Nota informativa sobre la baliza V16 conectada, el dispositivo que deberán llevar los vehículos desde enero de 2026 https://www.aepd.es/prensa-y-comunicacion/notas-de-prensa/nota-informativa-sobre-baliza-v16-conectada ………………………………………………………………………………………. Música utilizada en este podcast: Tema inicial Heros Epílogo Sr.J - Transhumanismo https://youtu.be/VZhk7Wlh8ks?si=GRweMvokOtSwy57y

What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code.

What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code. 

Programa completo en nuestro canal de You Tube: https://www.youtube.com/watch?v=6ElONqYAVnU Canal de Telegram para No perderte Nada! https://t.me/segundaguerramundialtelegram Canal de Whatsapp https://whatsapp.com/channel/0029VaSmnrC0QeatgWe2Lm27 ¿Quién fue Hans Kammler y qué papel jugó en el desarrollo de las armas secretas del Tercer Reich? En este video exploramos la misteriosa figura del alto oficial de las SS, responsable de proyectos como los cohetes V2, el enigmático Die Glocke (La Campana) y otras tecnologías avanzadas que alimentaron teorías sobre OVNIs, el Proyecto Paperclip y la huida de científicos alemanes tras la Segunda Guerra Mundial. ¿Qué hay de verdad en los mitos sobre las Wunderwaffe (armas milagrosas)? ¿Realmente estuvieron cerca de cambiar el curso de la guerra con sus experimentos secretos? ¿Desapareció Kammler o fue protegido por Estados Unidos?

YouTube tests a new custom feed just like Instagram and TikTok, Shorts AI Creation Tools get updates, and I experiment with speeding up Lauren to see if that helps. Also the Head of Instagram stops by to explain that reposting your own content to Feed really won't do much, and the team at TikTok shares some stats around using Creators to make content for brands. After the music, I do Wednesday Waffle talking about a book I read recently. Links:YouTube: Testing "Your Custom Feed" (Google Support: YouTube)YouTube: New Communities Features, Expansion of Shorts AI Creation Tools, and Handles Update! (YouTube)Instagram: Does Reposting Your Content To Feed Help? (Instagram)TikTok: The Creator Advantage: How creators drive real brand impact on TikTok (TikTok)TikTok: TikTok One - Creative Academy Videos (TikTok) Wednesday Waffle:Book: Wrong Place, Wrong Time - Gillian McAllister (Amazon) Transcript: Daniel Hill: Welcome to the Instagram stories for Wednesday, November 26th. I'm your host, Daniel Hill. There is a lot of social media news to talk about today. The YouTube team has expanded their shorts AI creation tools. The head of Instagram explains whether or not it's worth it to repost your own posts and if that'll help you get more engagement. The team at TikTok shares some data explaining why it's so important to work with creators if you're a business and how that can drive brand impact. for your business. We'll get into that along with some video guides that the TikTok team has made to help you make better content. And after all the social media news, I will do a Wednesday waffle where I talk about a topic that may or may not be related to social media. All of that and more on today's episode. But first, here's a quick word from our sponsors. Welcome back. Let's start with the YouTube news. Before we dive in, a little bit of context. I've been talking on the show recently about how Instagram is going to allow you to customize what you see in your for you feed based on what you are personally interested in and you can pick which topics you're interested in, which ones you're not. Tik Tok has had that for a long time. There are sliders that you can move to indicate which kinds of content you want to see more or less of. And they recently added the ability to adjust what level of AI content you see in your feed. Now, YouTube is copying that and they shared yesterday that they are testing something called your custom feed. They say, quote, "We're experimenting presenting with a new feature called your custom feed that lets you customize recommendations for your home feed. If you are part of the experiment, you will see your custom feed appear on your homepage as a chip beside home. When you click into it, you can update your existing home feed recommendations by entering a single prompt. This feature is designed to give you an easy to use way to have more control over your suggested content. If you see it, check it out and share your feedback". I will link to this post in the show notes so that you can see it for yourself. All right, moving on. Since we're already talking about YouTube news, let's move to Lauren from the YouTube Creator Insider team with her updates talking about how the Shorts AI creation tools are being expanded and an update to the way YouTube handles channel names versus handles. Here's the clip from Lauren. Uh, one quick thing before I play the clip. I was reading the feedback that I got about the show and some of you mentioned that Lauren's updates can drag on a little bit and I agree. So, I'm going to experiment with speeding up Lauren just a little bit. Hopefully, it's enough that it goes faster and you don't feel like Lauren's dragging, but you can still catch what she's saying.Lauren: What's up, insiders? I'm Lauren, a program manager working on our product team here at YouTube and the producer of Creator Insider. Up until now, channel names were used as the identifier for channels across live chat and channel memberships on main and YouTube studio. Now, a creator's handle will be shown across these services as their identifier. For moderators of live chat, you can still navigate to a user's channel by tapping on their handle. Let us know if you have any questions. In June, we talked about new AI powered shorts creation tools. If you missed the update, we'll leave more information in the description. We're happy to share that we're expanding standalone clips, green screen backgrounds, AI playground, and phototovideo to new markets around the world for creators with their YouTube language settings set to English. We're also leveling up the photo to video experience with new prompt capabilities. Now you can create a prompt from scratch, watch your memories come to life, and even add speech to give your video a voice. We're also introducing new Genai effects that transform your sketches into captivating videos powered by VO. These effects are now available globally. Additionally, speech to song and the ability to add lyrics and vocals in Dream Track are now available to creators in the US. These features will be rolling out this month and we'll keep you posted as we add new features. We're also bringing the power of Google DeepMind's V3 model to shorts, available for everyone on mobile. This upgrade from V2 lets you create videos up to 8 seconds long, previously six, now with synchronized sound effects, ambient audio, and speech. We'll leave more info below. Next, updates for communities. If you're still on the fence about enabling communities, an internal experiment in early September 2025 found that channels with YouTube communities enabled saw on average an increase in post impressions and likes on their channel.Daniel Hill: Okay, I'm going to stop it there because the rest of the update is about communities and I don't think it's very interesting. But if you do want to check out the whole post, I will link to it in the show notes so you can watch it for yourself. Hopefully the increased speed with which Lauren explained those things still let you understand what was going on and hopefully kept her a little bit more brief than usual. Okay, now let's move on to the Instagram section, the head of Instagram answered the question about whether or not reposting your content in your own feed does anything. So, you have the opportunity to share content that you've made from your feed to your story, for instance, but now you can also repost it to your feed. If you posted a piece of content and it didn't really do that well, it might be tempting to repost it to your feed so that your followers have another chance to see it. The head of Instagram explains it's not really worth it to do that. Here's the clip.Adam Mosseri: Since we launched reposts a couple months ago. I get the question a lot. Should I repost my own content? And you can. It might help a little bit on the margins, but it's not going to meaningfully change the amount of reach that you get. If you want to try and help your post go a little bit farther, I'd recommend instead going into the comments, responding to some people, liking some comments, and interacting with the people who've taken the time to actually like or comment on your post. This will help more than just reposting something that you've already posted. But I understand why people try. And this not going to hurt you to do so, but it's not going to actually help. So, I wanted to answer that question definitively once and for all. Hopefully, this helps later.Daniel Hill: So, there you have it. Not really worth a lot of time and energy. We're going to take a quick break. When we come back, some information from the Tik Tok team about how creators can help to drive impact for brands and additionally some videos from the Tik Tok team helping you to make better content. Stick around. Welcome back. Let's continue with the Tik Tok news. The team at Tik Tok made a long blog post sharing some data about how much creators making content and having brands push that content can impact the business that the brand does as opposed to the brand just making content on their own or hiring a marketing company. The importance of this cannot be understated because the content comes across as more authentic. They share some stats explaining that creator ads meaning an ad that is based on a piece of content that a creator made that creator ad can drive a 70% higher click-through rate and 159% higher engagement rate than noncreator ads. Okay, so why such a big difference? Three main reasons. First, when creators are making content, they're doing it through the lens of Tik Tok culture. They're familiar with the platform, not from the perspective of trying to sell a product or service, but rather just being familiar with the community. Additionally, creators can make a lot of good content very quickly. We are all used to sitting down to come up with an idea of something that we think could potentially work, coming up with what we need in order to make that piece of content, whether it's a script, finding a location, then filming it, editing it, and publishing it, and doing that for ourselves. So, when brands are working with creators, they're tapping into this system that we are all doing all the time. Anyway, another key thing to remember is that when brands partner with creators, the Those creators have a wide variety of different voices, skill sets, things they bring to the table, all of which appeal to different people. So, it does make sense to partner with a wide variety of creators. The third reason that this is so effective is because people already follow these creators. They liked them enough to follow them. When a creator makes a piece of content about a brand or product or service and posts it to their account, it comes across more authentically because it is not coming from the advertiser's account. According to a study from the TikTok team, ads posted to a creator's account have a 59% higher engagement rate and a 16% higher 6second viewthrough rate than those that are not posted directly to the creator's account. So, it's worth it to do this. There's more stats and strategy in this blog post, which I will link to, but I also uncovered something called TikTok 1, which is a creative academy to help you make better content on TikTok. I will play a short snippet of one of the videos that I found on there so you can get an idea of what this is all about.Unknown Speaker (from TikTok 1 Clip): This video is about TikTok creative best practices. Good creative is imperative for successful ad campaign. There are some essential guidelines you must follow in order to set yourself up for that success. These include video duration, design elements, safe zone, and video formats. Today we're talking creative codes. Six secrets to help you decode TikTok's creative potential. And what better place to start then code number one Tik Tok first. So when we say TikTok first, what do we mean? Going TikTok first means creating natural feeling TikTok content that's authentic to the platform. Feeling authentic to the for you page is as simple as taking cues from the content you love. How can you make content that feels organic to the for you page? Here are some quick tips that will help you look right at home on TikTok. Start simple. From filming at a professional shoot to filming on your phone, you can execute your ideas in the way that works for you. Go 9x6. This is a platform where vertical video thrives. Frame your content accordingly. Shoot high-res. Whether you use high-end software or smartphone technology, create video content that is clear and crisp.Daniel Hill: Okay, I'm going to stop the clip there. You get the idea. If you want to watch the rest of this video series, which I actually think is very good, I will link to it in the show notes. Be sure to check it out for yourself. That is it for today's news. If you would like to hear me do Wednesday waffle, which is where I talk about another topic that may or may not be related to social media. Stick around after the music.Music: Instagram news got you covered. Sometimes even TikTok relevant platforms in the metaverse. Ahead of the wave without a break or a pit stops waiting for Zuckerberg to give me the big job. Use trademarks and logos with instance permission. Of course, if you like the show and you gain some good info, maybe leave a review. It's a type of applause. Just drop me a message if you want to collab. If you got some good content or you want to run ads at @DanielHillMedia is where I am. TikTok, Facebook, at Instagram. All right, thank you for sticking around to hear me talk about something else. And now I would like to recommend a book. I don't think I did this previously on the show. I would like to recommend a book called Wrong Place, Wrong Time by Gillian McAllister. I would categorize this book as a thriller/time travel book. I don't like to normally recommend books because everyone likes different things in books. However, this book is excellent. I spend a lot of time reading books. I like to read a few minutes every night before I go to sleep, and this one really had me hooked. I was having trouble forcing myself actually to go to sleep. The ending ties together perfectly. I will link to this book in the show notes. Definitely check it out. Wrong place, Wrong Time by Gillian McAllister. If you like time travel, if you like science fiction, if you like thrillers, if you like any books that are a bit mysterious or suspenseful, I think you will like this. Find the link to the book in the show notes. And thank you for listening to me talk about something else other than social media for a minute.Sign Up for The Weekly Email Roundup: NewsletterLeave a Review: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Me on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@danielhillmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hosted by Simplecast, an AdsWizz company. 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Text your thoughts and questions!Are you constantly battling a massive to-do list that leaves you feeling guilty and behind before you even start? What's meant to be a helpful tool for productivity often becomes a major source of stress and overwhelm. The reason? You're working from the wrong list. This week, episode 289 of the Positively LivingⓇ Podcast is about where your to-do list trips you up!In this episode of the Positively LivingⓇ Podcast, I'm unpacking why your brain dump list is not your to-do list (and how viewing it as such is sabotaging your success) and sharing actionable steps you can take right now to transform your chaotic list into a focused guide that works for you. I cover the following topics:Why the traditional to-do list leads to analysis paralysis and stress.Why starting with a Guided Mind Sweep to get everything out of your head is essential, though not enough.How to avoid the task list pitfalls with the 4Ds Framework for task processing: Delete, Delegate, Delay and Do.It's time to take back control. Stop letting your overflowing list be the boss! True productivity isn't about doing more, it's about doing what matters most with clarity. Download the Guided Mindsweep for FREE at positivelyproductive.com/resources Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Tackle Your To-Do List in Four Simple StepsUsing the 80-20 Principle to Leverage a Better LifeMake Your Holiday Season Less Stressful with the 80-20 PrincipleDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

The Second World War saw the development of many new weapons. Perhaps none was more terrifying than the development of long-range strategic rockets.  Rockets had been used in combat for centuries, dating back to their development in ancient China; however, the rockets developed by Germany were a different matter altogether.  They terrorized civilians in England and actually served as the starting point of the space race.  Learn more about the V1 and V2 rockets and the Nazi rocket program on this episode of Everything Everywhere Daily. Sponsors Quince Go to quince.com/daily for 365-day returns, plus free shipping on your order! Mint Mobile Get your 3-month Unlimited wireless plan for just 15 bucks a month at mintmobile.com/eed Stash Go to get.stash.com/EVERYTHING to see how you can receive $25 towards your first stock purchase. Newspaper.com Go to Newspapers.com to get a gift subscription for the family historian in your life! Subscribe to the podcast!  https://everything-everywhere.com/everything-everywhere-daily-podcast/ -------------------------------- Executive Producer: Charles Daniel Associate Producers: Austin Oetken & Cameron Kieffer   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/  Disce aliquid novi cotidie Learn more about your ad choices. Visit megaphone.fm/adchoices

Text your thoughts and questions!Practicing genuine gratitude is often overlooked because it's such a familiar term that it's become a bit of a throwaway idea, popping up on every self-care list and journal prompt. It's also become the unofficial theme for November, with quotes, signs, and all manner of reminders to “be grateful” without understanding the context. But beneath all of the hype is a truly transformational practice. This week, episode 288 of the Positively LivingⓇ Podcast is about how practicing gratitude can make you happy. In this episode of the Positively LivingⓇ Podcast, I'm cutting through the “toxic positivity” and self-help hype to reveal the link between practicing gratitude and finding happiness, and giving you actionable steps to take right now to rewire your brain for a more positive outlook. I cover the following topics:The science behind your gratitude practice, including the Reticular Activating System (RAS) and neuroplasticity, that work together to train your brain to seek out the good. Clarifying what gratitude is (and what it's not), especially in contrast to mindset trends like toxic positivity. Three effective methods to deepen your appreciation beyond simple gratitude lists. Additional resources for continued learning and habit building include the Positively Grateful Series Bundle. Stop waiting for happiness to find you and start cultivating it today. Try one method or approach this week and take note of the change in your focus. Watch how your reality shifts when you intentionally look for the good.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 137Gratitude Podcast PlaylistPositively Grateful Series Bundle Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!

MedBoard   EU Joint clinical assessment procedure -  EU 2025/2086 regulation for reimbursement in the EU: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202502086 Team-NB position paper on Companion diagnostics - Significant changes rules: https://www.team-nb.org/wp-content/uploads/2025/10/Team-NB-PositionPaper-IVDR-Significant-changes-V2.pdf MDR and IVDR put at risk transplantation - Donor Screening and SoHo preparation: https://www.edqm.eu/documents/52006/162284/PA-PH-TO%20%2824%29%2018%20%E2%80%93%20Risks%20to%20safety%20and%20quality%20in%20donor%20screening%20and%20SoHO%20preparations%20due%20to%20poor%20implementation%20of%20the%20MDR%20and%20IVDR%20%E2%80%93%20CD-P-TO%20Position%20paper%20%E2%80%93%20October%202025.pdf/51d5efb2-4611-13ad-76a0-b5710b371248 Dedicated proportionate regulatory pathway for Niche fields Article 5(5.g) requirements to the highest risk categories (Health institutions to create documentation for the products) Update of MDCG guidance on In-house devices to better reflect the operational reality. Off-label use and RUO are not falling on Article 5.5 so grey zone.   Team-NB proposal for MDR & IVDR - 5 topics on the agenda:  https://www.team-nb.org/nbs-views-on-mdr-and-ivdr-review-process/ Early dialogue: Use of this to talk to Notified Bodies Article 61.10 & WET: Update for more clarity. Narrow the scope. Digitalisation: Machine readable documents, AI to support simulations to reduce Animal testing. Coding for MD and IVD Designation and recertification: For Notified Bodies Breakthrough: Coordinated pathway with challenge to generate Clinical Data. Notified Bodies Count - S New comers for MDR and IVDR:  SGS Fimko oy (IVDR 19): https://webgate.ec.europa.eu/single-market-compliance-space/notified-bodies/notifications/1016921 ICIM S.P.A. (MDR 51) : https://webgate.ec.europa.eu/single-market-compliance-space/notified-bodies/notifications?organizationRefeCd=EPOS_43747&filter=notificationStatusId:1 Notice (MDR): https://webgate.ec.europa.eu/single-market-compliance-space/notified-bodies/notifications/1020121 Standards New Harmonized Standards - Clothing and sterilisers: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202502078 Biocompatibility ISO TS 23485: https://www.linkedin.com/posts/melazzouzi_iso13485-iso-medicaldevice-activity-7393773266689228801-d7LM?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABZ07ABDocaBMTLJo8bsl8V3bgNSBIiZuI UK Reliance with US FDA - Harmonization is ongoing: https://www.gov.uk/government/news/patients-to-benefit-as-uk-and-us-regulators-forge-new-collaboration-on-medical-technologies-and-ai Service eIFU with free access -Test it and let us know : https://Easyifu.com eQMS for a structured Quality Management System - Get your demo: https://eqms-smarteye.com/ Magazine eMagazine . EMD Mag Free- Are Notified Bodies still the right model: https://easymedicaldevice.com/emd-mag/ ROW US FDA: Pre-RFD -:Combination product: https://www.fda.gov/media/189466/download US FDA: QMSR guidelines -: How to create a QMS: https://www.fda.gov/media/189345/download   PODCAST Podcast review -  What happened in October 2025 Episode 357 - Highlights from La Rentrée du DM 2025: https://podcast.easymedicaldevice.com/357-2/ Episode 358 - Clinical Evidence under EU MDR - Why so many dossier fail (And how to fix it): https://podcast.easymedicaldevice.com/358-2/ Episode 359 - Real World Evidence - How to use it right for FDA and EU: https://podcast.easymedicaldevice.com/359-2/ Episode 360: US Government Shutdown - What FDA can still be doing? Rob Packard: https://podcast.easymedicaldevice.com/360-2/ Episode 361 - Automatisation of your QA RA Job with AI - Hatem Rabeh:  https://podcast.easymedicaldevice.com/361-2/

Text your thoughts and questions!It's far too easy to get caught up in a relentless cycle of stress and negative thinking in the world we live in. You want to feel calm, resilient, and finally break free from that stuck loop of worry, but where do you start? On this episode of the Positively LivingⓇ Podcast, I am joined by happiness coach Julie Leonard to discuss a path that leads to less overwhelm and a more intentionally happy life. Julie Leonard is a life coach, author, and self-proclaimed happiness evangelist based in Munich, Germany. After overcoming her own challenges with anxiety and a negative inner dialogue, Julie dedicated her career to understanding and sharing the science of happiness. With a background in psychology and experience in mental health, she specializes in helping women change limiting beliefs and negative thinking into positive action. Her mission is to share practical tools and knowledge to help people navigate life and live a more intentionally happy life, focusing on what is truly within their control.In this episode of the Positively LivingⓇ Podcast, Julie shares how happiness isn't just about avoiding struggle but about building the internal tools to handle what life throws at you. Our conversation provides you with actionable advice you can take today to cultivate resilience and live a more proactive, positive life. Julie and I cover the following topics:The difference between stress and distress. Identifying what true happiness looks like, separate from external validation or material gain.The societal and cultural messages that lead us to seek outward solutions for an inward problem.Practical strategies for taking back control and living a more intentional and happier life. You have more control over your happiness than you think. Now is the time to embrace that control and commit to building your own resilience toolkit. Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH JULIE LEONARD:InstagramWebsiteCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 41 (Original Episode)Ep 197Self-Care Podcast PlaylistDance Song Playlist V1, V2, V3Music by Ian and Jeff Zawrotny

JP Morgan buys $102m worth of BMNR shares. Alchemy releases its V2 faucet. And the Hoodi testnet activates BPO1. Read more: https://ethdaily.io/819 Disclaimer: Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.

BUFFALO, NY — November 5, 2025 — A new #research paper was #published in Volume 17, Issue 10 of Aging-US on September 10, 2025, titled “Longitudinal associations of epigenetic aging with cognitive aging in Hispanic/Latino adults from the Hispanic Community Health Study/Study of Latinos.” In this study led by Myriam Fornage, from The University of Texas Health Science Center at Houston, researchers found that faster biological aging, measured by DNA-based epigenetic clocks, is associated with greater cognitive decline and higher risk of mild cognitive impairment (MCI) in Hispanic/Latino adults. The results highlight the potential of epigenetic clocks to track changes in brain health over time, helping improve early detection and monitoring of age-related cognitive problems. Cognitive decline and dementia are major public health concerns, especially among aging populations. In this study, researchers followed 2671 Hispanic/Latino adults (average age 57; 66% women) over a seven-year period. They measured each participant's biological age using epigenetic clocks and assessed their cognitive performance at two time points. “We evaluated the associations of 5 epigenetic clocks and their between-visit change with multiple measures of cognitive aging that included a global and domain-specific cognitive function score at each visit, between-visit change in global and domain-specific cognitive function score, and MCI diagnosis at visit 2 (V2).” Epigenetic clocks estimate biological age based on DNA chemical modifications, called methylation, that accumulate with age. The study evaluated five different clocks, including newer models like GrimAge and DunedinPACE, which are designed to more accurately reflect health-related aging. The researchers found that individuals with faster biological aging showed lower cognitive function and higher probability of developing MCI over time. Among the five clocks studied, newer models such as GrimAge and DunedinPACE showed the strongest associations with memory, processing speed, and overall brain health. These findings suggest that tracking changes in biological age over time may be more effective than relying on a single measurement to identify those at risk for cognitive impairment. Importantly, the associations between biological aging and cognitive decline remained significant even after accounting for other known risk factors such as education, language preference, and cardiovascular health. This supports the idea that epigenetic clocks capture unique biological processes that influence brain aging. The study also found that the impact of changes in biological age over time was comparable to that of APOE4, a well-established genetic risk factor for Alzheimer's disease. Overall, this is the first large-scale study to examine these associations in a Hispanic/Latino population, a group that is underrepresented in aging research. By identifying early biological signs of brain aging, this work highlights the potential of epigenetic clocks as tools for routine health assessments. Monitoring changes in these biological markers could help detect individuals at risk for cognitive decline and guide timely interventions to preserve brain health. DOI - https://doi.org/10.18632/aging.206317 Corresponding author - Myriam Fornage - Myriam.Fornage@uth.tmc.edu Abstract video - https://www.youtube.com/watch?v=kG0Y-F_sods To learn more about the journal, please visit https://www.Aging-US.com​​ and connect with us on social media: Facebook - https://www.facebook.com/AgingUS/ X - https://twitter.com/AgingJrnl Instagram - https://www.instagram.com/agingjrnl/ YouTube - https://www.youtube.com/@Aging-US LinkedIn - https://www.linkedin.com/company/aging/ Bluesky - https://bsky.app/profile/aging-us.bsky.social Pinterest - https://www.pinterest.com/AgingUS/ Spotify - https://open.spotify.com/show/1X4HQQgegjReaf6Mozn6Mc MEDIA@IMPACTJOURNALS.COM

Text your thoughts and questions!Are you a high achiever or multi-passionate caregiver feeling completely drained? Maybe you used to juggle work, family, and passions with ease, but now your once-achievable "do it all" goal is leaving you exhausted, resentful, and scattered. If you're constantly searching for a way to manage your overwhelming to-do list, you're not alone, and I am here to help. This week, episode 286 of the Positively LivingⓇ Podcast is about what to do when doing it all doesn't work!In this episode of the Positively LivingⓇ Podcast, I'm diving into the “do it all” trap, breaking down the psychology why we feel compelled to take on so much and giving you actionable steps to take right now to shift out of this perpetual state of overdrive to a place of sustainable success and true productivity. I cover the following topics:Why high achievers and multi-passionates especially fall into the allure of “doing it all.”The damaging cost of “doing it all” and the telltale signs that you're on the road to burnout.Essential steps to shift from doing it all to doing what matters. How to process the grief of letting go of an old identity and redefine success. You are not meant to do it all; you are meant to do what matters most. The strength for thriving comes from knowing and honoring your limits.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 53Ep 206Ep 284Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

CEO Phil Trapkin's journey to creating BlissTrax started over two decades ago with his personal discovery: syncing music to his running pace significantly elevated his workouts. This early experience in marrying rhythm with movement was the seed. The idea fully came to life when he was later introduced to the concept of binaural beats, leading to the insight that sound technology could be engineered to guide the brain into specific states while the body is active. BlissTrax was born from the desire to offer a simple, accessible tool for stress relief that doesn't require users to sit still.

Text your thoughts and questions!Are you struggling to support the men in your life—your husband, sons, partner, or father—who feel the pressure to be strong, stoic, and silent? Do you watch them struggle, knowing the cultural expectation to suck it up keeps them from seeking the help they need? Outdated ideas about masculinity create significant barriers, often leading men to dismiss their own emotional needs as a weakness. This week, episode 285 of the Positively LivingⓇ Podcast is about why men's mental health matters! In this powerful episode of the Positively Living Podcast, host Lisa Zawrotny revisits a vital, deeply needed conversation with Tim Beisiegel to challenge the stigma around men's emotional well-being. Tim Beisiegel is a married man and father of three, who discovered a passion for podcasting as a crucial outlet for social connection and sanity during a time of intense family health struggles. Tim is the host of the Funny Science Fiction Podcast, where he indulges his love for all things sci-fi and pop culture.Tim and I cover the following topics:Courage is Asking for HelpUnderstand Trauma is SharedSubmission to Help is a StrengthStart the Conversation, Don't StopFinding the Right Counselor May Take TimeCONNECT WITH TIM BEISIEGEL:Funny Science Fiction PodcastInstagramCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! IMPORTANT LINKS AND RESOURCES:SAMHSA.GOV Psychology TodayThe Body Keeps the Score by Bessel VanDerKolkIt Didn't Start With You by Mark WolynnMaybe You Should Talk to Someone by Lori GottleibAuthors: Melody Beattie, Anne Lamott, Brene BrownEnding The Stigma PodcastEpisode 4 The Power of GratitudeEpisode 7 The Impact of Stress and How to Manage it for GoodEpisode 14 How We Grow through Grief with Katie RosslerEpisode 29 Trauma Informed Life with Mallory Jackson(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!If you're anything like me, you know the holiday season is coming, and yet, it somehow always feels like it sneaks up on you, trading your joy for what feels like an impossible to-do list. What follows is a feeling of overwhelm, exhaustion, and stress, even when good things are happening. The gap between the “picture-perfect” ideal and our chaotic reality leaves us depleted and in recovery mode as the new year rolls around. But it doesn't have to be this way! This week, episode 284 of the Positively LivingⓇ Podcast is about how to protect your peace this holiday season. In this episode of the Positively LivingⓇ Podcast, I'm sharing simple, practical, and compassionate ways to set healthy boundaries, manage high expectations, and guard your mental energy so you can truly enjoy the holiday season without losing yourself in the process. I cover the following topics:Three reasons why the holiday season comes with so much added stress. The cost of not setting limits around your time and energy.Four practical strategies for protecting your peace during the holiday season. A cozy bonus tip to reduce stress and regulate your nervous system. Protecting your peace is an act of self-care that allows you to show up for what truly matters. I encourage you to take back the joy of your holiday season by choosing intention over obligation. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 236Ep 22Ep 117Ep 241Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Ben Alarie spent 8 years building Blue J with "partial product market fit"—real customers, real revenue, but no real market pull. Then he made a bet that would either kill the company or 10x it: he put the existing product in maintenance mode and gave his team 6 months to rebuild everything from scratch using a technology that barely worked.Two years later, Blue J went from $2M to $25M in ARR. They're adding 10 new customers every single day. NPS went from 20 to 84.This isn't a story about getting lucky. It's about a founder who knew—with absolute conviction—that the market would eventually arrive, and made sure he was ready when it did. But it's also about the danger of fooling yourself into thinking you have PMF when you only "kind of have PMF."Why You Should Listen:Learn the brutal difference between fake and real PMFDiscover when to abandon millions in existing ARR to go all-in on something elseWhy "time to value" might be the single most important metric for word-of-mouth.See what it takes to survive until the market is ready.Keywords:startup podcast, startup podcast for founders, product market fit, founder journey, early stage startup, startup pivot, AI startup, SaaS growth, founder advice, hypergrowth startupChapters:(00:02:00) Starting BlueJ(00:9:26) Introducing AI to Tax Research(00:12:44) Starting to Build(00:17:03) Not Having True PMF(00:19:44) Believing in Retrieval Augmented Generation(00:25:34) Updating to V2 of BlueJ(00:30:58) The Necessity of Time to Value(00:33:47) When You Knew You Have PMF(00:38:19) One Piece of AdviceSend me a message to let me know what you think!

Az előfizetők (de csak a Belső kör és Közösség csomagok tulajdonosai!) már szombat hajnalban hozzájutnak legfrissebb epizódunk teljes verziójához. A hétfőn publikált, ingyen meghallgatható verzió tíz perccel rövidebb. Itt írtunk arról, hogy tudod meghallgatni a teljes adást. 444 Falunap itt. Lakadalom van a mi Kínánkban. A jegyesfotózás trükkjei. A magyar esküvőifotó-biznisz. És tényleg van baath sajttorta! Mi lesz a Szigettel? Minek megmenteni azt, aminek vége van? Újabb macskabújócskatippek, tyúkpszichológia. Chatbotok – az emberiség újabb ellenségei. 00:18 Kapcsoljuk Bredát és Antwerpent. Van köztük Mohamed. 04:12 V2-k Antwerpenre. Sör csokoládéval. Anders sörfőzde. Uj Péter visszatér az alkoholizmus kebelére. 08:30 444 falunap plovval és baath sajttortával. The President's Cake. Saddam 60. szülinapi tortája. 10:38 Fuchsia Dunlop: A kínai konyha kultúrtönénete. Kétéves könyvismertetőnk. 12:47 Kínai lakodalmi kultúra. A vörös boríték QR-kódja. A kínai jegyesfotózás. Dübörgő esküvőbiznisz. 17:20 Dübörgő kanyarfotó-biznisz. Az alföldi esküvői fotózás zsánerei. 21:16 Mi lesz a Szigettel? A magyarság nagy teljesítménye. Gerendai jó ütemben lépett le, rossz ütemben léphet vissza. 27:53 Megismételt választás Tiszaburán. Demokrácia és nyomorúság. A zsák krumpli döntése. 30:20 Botrány az IMDB-n. Liptai Claudia életrajza örök. Mesterséges értelem. 36:33 Hogy kell megtanítani a macskát bújócskázni? A tyúk tudatalattija. 38:56 Kajafutár Harleyn. Taxis Teslában. 41:05 Most már tényleg mindjárt pukkad az AI-lufi. Kalandok chatbotokkal. 45:37 Szex és Chatgpt. A Ray Ban AI-szemüvege. See omnystudio.com/listener for privacy information.

Dennis and Brady start projecting for the post season, who are the most likely first round opponents for our teams? Brady with his playoff tier list V2, and a new top 10!

SpaceX said farewell to its V2 on Monday night as it sent Starship's current configuration on one last test flight, in a mission that the company says hit all its key goals, moving the program into its next phase. ecurity researchers have discovered that as many as half of all geostationary satellites in Earth's orbit are carrying unencrypted sensitive consumer, corporate, and military information, making this data wide open to eavesdropping. And Grinder's majority owners are scrambling to take the LGBTQ plus dating app private after a stock decline triggered a personal financial crisis, according to a report from Semafor. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Text your thoughts and questions!The secret to success isn't avoiding failure; it's learning to trust your gut when everyone else says “no.” All too often, we feel isolated, struggle with overthinking, and let the fear of failure hold us back.In this replay episode of the Positively LivingⓇ Podcast, Gwen Austin joins to reveal her journey of launching an online community of thousands overnight by following her inner knowing and shares how you can trust yourself to make the right choice in your own endeavors. In this episode of the Positively LivingⓇ Podcast, Gwen Austin shares the importance of following the path that feels authentic to you, no matter how scary it may feel, and actionable steps you can take right now to identify that genuine gut feeling and find what feels right for you.Gwen and I cover the following topics:Rediscovering your childhood instinct to fall down and get back up. Learning to let your brain “get out of the way” and act on your intuition. Cultivating a supportive community of people to cheer you on and help you believe in self-trust.Embracing the flow of change and taking bite-sized steps that keep the forward momentum going. Ask yourself: What is one small step you can take today to follow your gut and move past a fear of failure? Remember,  there's enough room for all of us to succeed. Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH GWEN AUSTIN:Gwen Austin StudiosEntrepreneur Women Unified FB GroupCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Episode 66Episode 216 with Valerie FriedlanderBook a Clarity CallDance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!The relentless pursuit of productivity has a dark side: the pervasive and false belief that our worth is directly tied to our output. Too many of us are trapped in this cycle, feeling intense guilt whenever we rest or worry that slowing down makes us "lazy." This toxic belief system, relentlessly reinforced by hustle culture and outdated capitalist conditioning, is the most direct road to burnout and emotional exhaustion. This week on the Positively LivingⓇ Podcast, I debunk the idea that “productivity is dangerous” by identifying what the danger actually is and help you cultivate a shame-free productivity approach that deeply honors your energy, values, and genuine need for restoration. In this episode of the Positively LivingⓇ Podcast, I'm dismantling the traditional, harmful ideas of productivity, exposing dangerous mindset traps, and giving you actionable steps to take right now to redefine productivity to be used as a sustainable, supportive tool. I cover the following topics:Three dangerous mindset traps that have us using productivity against ourselves. Why traditional, rigid productivity models are harmful, especially for caregivers, chronically ill, and neurodivergent individuals. How to shift your perspective to view productivity as a flexible tool that supports your life.You deserve to rest simply because you are human… not because you've "earned" it. If the pursuit of being productive is making you miserable, it's time to change the rules. Choose to let go of the inherited mindset that's keeping you stuck and start building a shame-free, compassionate productivity system that truly supports your life.Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Episode 61Episode 280Episode 269Episode 250Stress Management Podcast PlaylistDance Song Playlist V1, V2, Request this Toolkit and other free resources at the Resources Page.

Die LA-Singer-Songwriterin Aimee Mann schaut genau hin und findet perfekte Reime für ihre oft traurigen Geschichten. Diese sind jedoch nie destruktiv, sondern voller Hoffnung und lakonischem Trost. Die 65-jährige Mann hat eine loyale Fangemeinde, zu der unter anderem auch Prominente wie Michelle und Barack Obama sowie zahlreiche Musikerinnen und Künstler gehören. Kritiker loben ihr Werk, kommerziell erfolgreich ist sie jedoch nie – wohl auch, weil sie sich früh abseits vom Musikbusiness eigene Wege ging. Für ihr Schaffen lässt sie sich viel Zeit: in 30 Jahren hat Mann 10 Alben veröffentlicht. Ihre Songs sind originell und detailverliebt arrangiert und bleiben so lange Zeit im Gedächtnis hängen. Chris Weber, Tontechniker bei SRF, Musiker und Singer-Songwriter, erzählt im Gespräch mit Annina Salis, warum ihn Aimee Mann als «Gesamtpaket» so inspiriert. Die gespielten Titel: Interpret:in: Titel (Album / Label) - Aimee Mann: One (Magnolia. Music from the Motion Picture / Reprise Records 1999) - Aimee Mann: Fifty Years After the Fair (Whatever / Original release: Imago 1993; Reissue: Geffen Records) - Til Tuesday: Voices Carry (Til Tuesday: Voices Carry / Epic 1985) - Aimee Mann: Jacob Marley's Chain (Whatever / Original release: Imago 1993; Reissue: Geffen Records) - Aimee Mann: Momentum (Magnolia. Music from the Motion Picture / Reprise Records 1999) - Aimee Mann: Humpty Dumpty (Lost in Space / SuperEgo, V2, 2002) - Aimee Mann: That's How I Knew This Story Would Break My Heart (The Forgotten Arm / SuperEgo, V2, 2005) - Aimee Mann: Freeway (@#%&*! Smilers / SuperEgo 2008) - Aimee Mann: Give Me Fifteen (Queens of the Summer Hotel / SuperEgo Records 2021)

Text your thoughts and questions!So many of us find ourselves in an all too familiar cycle: we create the perfect self-care plan, only to have it completely derailed by the unpredictability of life. Whether it's an urgent deadline, a sick family member, or a sudden change in plans, our carefully crafted intentions fall apart, once again putting self-care on the back burner. The problem? We put too much focus on having a plan when we should shift our attention to getting the right systems in place. This week on the Positively LivingⓇ Podcast, I'm unpacking how you can make the critical shift from a rigid self-care plan to a flexible, resilient self-care system. In this episode of the Positively LivingⓇ Podcast, I'm sharing the important distinction between plans and systems, why our plans often fail, and actionable steps to take right now to create a framework that makes self-care a sustainable, non-negotiable part of your life.I cover the following topics:The difference between plans (static & rigid) and systems (dynamic & flexible).How willpower and decision fatigue hold us back from making self-care a priority. Creating a “minimum viable” self-care routine for low-energy days.The four elements of a self-care system that work.If you've struggled to stick with self-care, it's not because you're flawed or lazy. It's because plans alone aren't enough. It's time to build a system that supports you not just on the good days, but on the hard ones too.Ready to take action? Don't forget to download the Positively Productive Toolkit to help you cultivate the self-awareness needed for the most effective habits and systems.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Episode 93Episode 146Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!Have you ever had a day where you checked everything off of your to-do list but still felt unfulfilled? It's a common conundrum (and a major source of frustration and burnout) to feel busy but not truly productive. This week on the Positively LivingⓇ Podcast, I'm diving head first into this issue. I reveal two types of productivity that, when they are both honored, can transform how you approach your work and life.In this episode of the Positively LivingⓇ Podcast, I'm exploring the two types of productivity: functional and emotional, encouraging you to challenge the traditional, functional-first approach to productivity and give you actionable steps you can take right now to integrate emotional productivity to make you feel like you're truly living… beyond the to-do list.I cover the following topics:The difference between functional and emotional productivity. Why we as a culture undervalue and dismiss emotional productivity. Using emotional productivity as a powerful strategy for preventing burnout. Practical steps and simple habits to build emotional productivity. Let this be a reminder that productivity isn't just about what you do but about how you feel while you're doing it. When you honor both your functional and emotional productivity needs, you create a life that has both momentum and meaning.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 99Ep 230Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!If you're feeling constantly on edge or overwhelmed by life's demands, you're not alone, and your nervous system might be the reason why! Think of the nervous system as your body's communication highway, with messages on what to think, feel, and do traveling at hyper speed. On one side, you have your body's "fight or flight" response, known as the sympathetic nervous system, and its essential counterpart, the "rest and digest" parasympathetic nervous system. Both sides are equally important and, when able to balance one another out, are the key to living a healthier, more productive life! In this episode of the Positively LivingⓇ Podcast, I'm talking about why you must support your nervous system for a healthier, more productive life!In this episode of the Positively LivingⓇ Podcast, I'm sharing the vital role your nervous system plays as your body's “central command center” and giving you actionable steps to take right now to regulate yourself, breaking the cycle of stress and burnout.I cover the following topics:Differences between the sympathetic (“fight or flight”) and parasympathetic (“rest and digest”) systems.The physical, mental, and emotional signs of nervous system overload and its impact on your health and relationships.The connection between chronic stress, health issues, and burnout.Five powerful practices to support your nervous system.Remember: Supporting your nervous system doesn't require a complete life overhaul. Small, consistent actions can make a big difference. For more resources, visit positivelyproductive.com/toolkit and start your journey to a calmer, more productive you.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/CONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 248Ep 250Ep 274 Ep 79Ep 131Ep 278Ep 245Positively Productive ToolkitDance Song Playlist V1, V2, V3Music by IaRequest this Toolkit and other free resources at the Resources Page.

On pourrait penser qu'avec les moyens colossaux du IIIᵉ Reich et l'avance initiale de la science allemande, Hitler aurait pu mettre la main sur l'arme nucléaire. Pourtant, le projet n'a jamais abouti. Plusieurs raisons l'expliquent :1. Une science allemande affaiblie par le nazismeAvant 1933, l'Allemagne était une puissance scientifique majeure, avec des physiciens comme Einstein, Born ou Hahn. Mais l'arrivée au pouvoir des nazis bouleverse tout : les chercheurs juifs ou opposants fuient le pays. Résultat : une fuite des cerveaux vers les États-Unis et la Grande-Bretagne, qui vont nourrir plus tard le projet Manhattan.2. Une mauvaise orientation des recherchesLe régime nazi lance bien un programme nucléaire dès 1939, confié à Werner Heisenberg, grand physicien théorique. Mais l'équipe se disperse, les crédits sont insuffisants, et l'armée privilégie d'autres armes considérées comme plus efficaces à court terme (V2, chars, avions à réaction). Le nucléaire semble trop complexe, trop long à développer.3. Le problème de l'uranium et du plutoniumPour fabriquer une bombe, il faut soit de l'uranium 235 enrichi, soit du plutonium. L'Allemagne disposait de gisements d'uranium, notamment en Tchécoslovaquie, mais elle n'avait pas les capacités industrielles pour enrichir le minerai à grande échelle. Quant aux réacteurs expérimentaux, ils n'ont jamais atteint la masse critique nécessaire.4. Des erreurs stratégiques et théoriquesCertains historiens estiment qu'Heisenberg lui-même n'avait pas compris toutes les conditions nécessaires à la réaction en chaîne. Il pensait qu'il faudrait plusieurs tonnes d'uranium enrichi pour déclencher l'explosion, alors que quelques kilos suffisent. Cette erreur de calcul a contribué à faire croire que la bombe était hors de portée.5. Le poids du tempsEnfin, la guerre allait trop vite. Entre 1942 et 1944, l'Allemagne se bat sur plusieurs fronts et doit consacrer ses ressources à l'urgence militaire. Le projet nucléaire, très coûteux et incertain, passe au second plan. Pendant ce temps, les États-Unis, protégés par leur distance géographique et dotés de moyens financiers et industriels gigantesques, avancent à marche forcée vers Hiroshima et Nagasaki.ConclusionHitler n'a jamais eu la bombe atomique parce que son régime a affaibli la science allemande, négligé l'investissement massif nécessaire, commis des erreurs techniques… et surtout manqué de temps. L'Allemagne a préféré miser sur des armes “miracles” plus rapides à produire, comme les V2, mais sans comprendre que la véritable révolution militaire de la Seconde Guerre mondiale se jouait ailleurs : dans les laboratoires de Los Alamos. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Text your thoughts and questions!Prioritizing tasks is a common challenge for so many of us, especially those of us who are neurodiverse and often struggle with competing demands, fluctuating energy, and the constant pull of urgency. Maybe you're staring at a mountain of tasks where everything feels important and you have no idea where to begin. But what if, by exploring your unique tendencies, you can quiet the noise, sort through the chaos, and tackle what truly matters?In this episode of the Positively LivingⓇ Podcast, I explore four popular methods to prioritize tasks effectively, breaking down the pros and cons of each to help you figure out which method fits you best.I cover the following topics:Why prioritization is essential for conserving mental energy, reducing stress, and achieving meaningful goals. Reviewing four prioritization systems: the Eisenhower Matrix, Eat the Frog, MITs, and the A, B, C Method. A bonus, alternative energy-based prioritization method to align tasks with your natural productivity rhythms. Tips for experimenting with different methods, pairing them with your unique tendencies, and checking in on how they make you feel. By finding the right prioritization system for your season of life, you can reclaim your focus and intentionally choose what matters most. For more hands-on tools, don't forget to grab the free Positively Productive Toolkit at www.positivelyproductive.com/plpkit, which includes the Assessments workbook to help you discover your tendencies and customize your productivity approach.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Ep 252Ep 181 Ep 215Dance Song Playlist V1, V2, Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!Mindfulness sounds great in theory, but sometimes it can feel like just another "should" on your to-do list—something that is too difficult or time-consuming to actually do. (And you might feel guilty for not even trying). This resistance, known as productive "friction”, keeps us from building habits that can significantly boost our happiness and well-being.In this episode of the Positively LivingⓇ Podcast, I break down the science and show you how simple and effective mindfulness can be. I share how to use everyday habits you already have as "mindfulness anchors," turning your morning coffee, a shower, or a daily walk into a powerful practice that reshapes your brain for the better. I cover the following topics:The surprising brain science behind mindfulness, including how it can physically rewire your brain to be happier and more resilient.Why traditional meditation practices can create a "friction problem" that makes us less likely to build the habit.How to use habit stacking to anchor mindfulness to routines you already have, making it simple and sustainable.Practical examples of how to practice mindfulness with your five senses during everyday moments like drinking coffee or showering.How practicing mindfulness can double as a gratitude practice, boosting your well-being with minimal effort.Mindfulness doesn't require a perfect environment or a new app—it just requires a moment of awareness. The best time to practice is in the moments you're already living.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Ep 139 Ep 263Ep 195Atomic Habits by James Clear(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!Have you ever dismissed a small step because it feels like it won't make a difference, or felt discouraged when you don't see immediate results? We live in a culture that glorifies big leaps and instant success, but the truth is, lasting change is built through the small, consistent choices we make every day. The biggest mistake is undervaluing these small actions, often quitting right before the magic happens.In this episode of the Positively LivingⓇ Podcast, I dive into the power of small steps and why they create big, lasting change. I share insights from foundational productivity books like The Slight Edge and Atomic Habits, and give you four simple steps to embrace consistency, build new habits, and trust the process.I cover the following topics:How cultural pressure for instant gratification makes us dismiss small steps and leads us to quit before we see results.The science behind why our brains favor bad habits that offer instant rewards, while good habits with delayed benefits feel like so much work.How the "compound effect" means that small, consistent actions accumulate into dramatically different outcomes over time, for better or for worse.Four actionable steps to embrace small steps: reframing what "small" means, celebrating small wins, focusing on your identity, and using habit stacking.My personal story of learning to play guitar to illustrate how small, consistent practice leads to significant skill acquisition over time.Don't let the simplicity of a small step fool you. The small choice you make today is shaping your future self. What will your first small step be?Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:The Slight Edge by Jeff OlsonThe Compound Effect by Darren HardyAtomic Habits by James ClearThe Power of Habit by Charles DuhiggEpisode #227 on combining and stacking habits(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyRequest this Toolkit and other free resources at the Resources Page.

Text your thoughts and questions!Does the thought of change—whether planned or unexpected—fill you with fear and a sense of paralysis? We all naturally resist change and the uncertainty it brings, often feeling like it is easier to not move at all than to make a mistake. But what if change and uncertainty were actually opportunities for growth, resilience, and personal transformation?In this episode of the Positively LivingⓇ Podcast, I revisit this essential topic to give you simple, actionable ways to navigate change with more confidence and curiosity. Drawing from my own experiences as a podcast host, entrepreneur, and caregiver, I share five ways to manage your relationship with change so it does not derail you, but instead helps you move forward.I cover the following topics:How to reframe change as an opportunity for growth, even when it feels negative.The importance of focusing on what you can control, like your mindset and self-care, when so much feels uncertain.Why you should approach change in small, manageable steps to build momentum and allow yourself time to adapt.How to build and use a strong support system to help you through periods of uncertainty and hardship.The power of practicing self-compassion to stay resilient and keep moving forward through missteps and discomfort.Change and uncertainty are inevitable, but they do not have to derail you. You have adapted before, and you will again. Which of these strategies will you take to heart today?Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.