Podcasts about leds

Reef aquarium lighting has changed from the days of metal halides, to t5s lighting your reef tank to the modern era of LED reef lighting and it is about to evolve yet again. The next evolution of reef aquarium lighting is here, could this be the future of reef lighting? Ariel the founder and CEO of Nextgen Reef Tech joins me on this episode of TheCoralReefTalk Podcast. I ask him all about the new reef evolve a modular reef aquarium LED fixture that replicates the look and feel of t5 reef tank lighting but uses LEDs.To learn more visit https://www.nextgenreeftech.comand follow Nextgen Reef Tech on instagram.Want a fun new way to feed your reef tank? Visit https://www.thecoralreeftalk.com and get your Drifter TODAY! The Drifter is a patent pending 3d printed floating fish feeder for your reef aquarium!If you enjoyed the video please like, comment and subscribe to TheCoralReefTalk for more videos like this one.

Click to Send us a text!What if your "wired-but-tired" feeling isn't just part of the motorsports lifestyle? What if one of your biggest performance disruptors is something you never even question?In this episode of Breaking Boundaries for Champions, we pull back the curtain on the light-health connection. From late-night simulator sessions and garage LEDs to airport terminals and phone screens, your light environment is constantly signaling your brain—and often, it's sending the wrong message.If you are a driver, crew chief, or pit crew athlete, your ability to recover isn't just about training; it's about managing your biology in a high-pressure environment. We dive into why modern lighting is causing "circadian confusion" and, more importantly, how you can fix the signal to improve your sleep, reaction time, and long-term performance.In this episode, we cover:Why "Night Shift" mode on your phone isn't a complete solution.The difference between "daytime light" and "nighttime light" in your recovery routine.How to handle sim time and night races without wrecking your circadian rhythm.A 3-layer light strategy you can start today.Practical tips for "downshifting" your nervous system after a race.Mentioned in this episode:If you are ready to stop treating all blue light the same and start optimizing your circadian rhythm, check out the specialized lens systems at VivaRays. Use code LOVE-ENERGY for a discount.

Near-Infrared Light Therapy & EMF Shielding with SaunaSpace Founder Brian Richards Your mitochondria are starving for a nutrient you've probably never tracked, and it's not a vitamin or a macro. This episode reveals how a forgotten 1910 therapy uses light to physically restructure water inside your cells, unlocking a mechanism for healing, detox, and mitochondria repair that most of biohacking has completely overlooked. Go to https://sauna.space/ and use code ‘Dave' for a 15% discount! Host Dave Asprey sits down with Brian Richards, founder of SaunaSpace and a leading voice in incandescent light therapy and infrared sauna engineering. With a background in chemistry and organic synthesis, Brian spent over a decade building a science-backed alternative to LED-based light therapy rooted in full-spectrum incandescent light and deep radiant heat. After healing his own insomnia, adrenal fatigue, and brain fog through light and heat exposure, he developed the FireLight Spectrum, a technology engineered to restore what modern lighting strips away. Dave and Brian trace incandescent light therapy back to Dr. John Harvey Kellogg's 1910 book on light therapeutics, and explain why the same institutional forces that suppressed chiropractic care and natural medicine buried this practice for over a century. They break down how near-infrared light penetrates the body to charge water into a more bioavailable state, boost glutathione and melatonin production, and repolarize cellular voltage for better metabolism and longevity. The conversation also covers why blue light from LEDs devastates hormones, testosterone, and fertility, how EMF exposure silently drains human performance, and why grounding and Faraday shielding matter more than most supplements on the market. You'll Learn: Why near-infrared light functions as an essential nutrient your body cannot make without it How light physically restructures water to improve mitochondria function and cellular energy The suppressed history of Dr. Kellogg's incandescent light therapy and why it disappeared How blue light exposure crashes testosterone and disrupts fertility and hormone regulation Why EMF shielding and grounding are critical, overlooked tools for longevity and recovery How to use infrared light like a daily supplement instead of an occasional treatment Why carnivore-adjacent, nutrient-dense eating pairs naturally with light and heat therapy Thank you to our sponsors! - ELITE Performance Coaching | If you'd like to discover where you may be addicted to struggle, allergic to success, and what may be standing between you and your next breakthrough, visit FastestChange.com - Longevity Farms | Go to getlongevityfarms.shop. Use code DAVE for 20% off your next order. - Calroy | Go to calroy.com/dave for the clinical research, your discount, and a 45-day money-back guarantee. - PredictiveMind™ | Get your Brain Pattern Mapping report at predictivemind.io/dave and use code DAVE for 10% off. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights inhealth, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: Brian Richards, SaunaSpace, incandescent light therapy, near-infrared light, FireLight Spectrum, Dr. John Harvey Kellogg, Light Therapeutics, exclusion zone water, Gerald Pollack, EMF shielding, Faraday cage, grounding mat, earthing, redox potential, mitochondrial energy, glutathione, melatonin, blue light toxicity, circadian biology, red light therapy, heat shock proteins, vitamin D, sun callus, Danger Coffee, Flexner Report, testosterone, biophotons Resources: • Go to https://sauna.space/ and use code ‘Dave' for a 15% discount! • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15? • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: 00:00 – Trailer 00:46 – Meet Brian Richards 03:17 – Kellogg's Light Bath History 09:04 – Persecuted Light Pioneers 12:47 – Near-Infrared Science 16:07 – Blue Light Damage 19:26 – Sunscreen Myths 23:52 – Antidote & Melatonin 33:24 – Exclusion Zone Water 37:52 – Heart as a Vortex 41:47 – Fireplace & Infrared Deficiency 46:15 – FireLight Bulb Design 51:52 – EMF Shielding 55:16 – Faraday Cage & Grounding 1:05:51 – Sauna.Space Discount See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Turn an ordinary fireplace into glowing, customizable, controllable light art. In this video, I'll give you an overview of my LED fireplace insert project: 3 layers of laser-cut flame in a plywood base that houses high-density addressable LEDs and a Mini Sparkle Motion controller for easy WLED control. I'll show you how the pieces fit together, how the lighting is installed, and some of the effects you can create with WLED. This project is designed to make a non-working or unused fireplace feel like a beautiful focal point again—without real flame, heat, or smoke. Download the LightBurn project or free .svg files from the full build tutorial: https://learn.adafruit.com/glowing-fireplace-insert-with-edge-lit-acrylic-and-wled/overview The full build guide includes the design files, material list, assembly steps, wiring information, and WLED setup. Subscribe for wearable tech, light art, WLED projects, and creative engineering tutorials! #WLED #LEDArt #FireplaceDecor #AddressableLEDs #DIYLighting #ArtNouveau #MakerProject Visit the Adafruit shop online - http://www.adafruit.com More LED artwork: https://www.erinstblaine.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

In der 375. Episode von Irgendwas mit Recht spricht Marc mit Dr. Katharina Pehle. Sie arbeitet als Partnerin bei Bird & Bird in München. Katharina berichtet von ihrem Studium in Passau, Genf und Münster sowie ihrer mühsamen Promotion nach dem zweiten Examen. Als Patent Litigator erklärt sie die Besonderheiten von Patentstreitigkeiten und die Auslegung von Schutzansprüchen am Beispiel von LEDs. Zudem beleuchtet das Gespräch den Unified Patent Court, Opt-out-Verfahren und ihren Weg in die Partnerschaft. Wie läuft eine Promotion nach dem zweiten Examen ab? Warum wählen Patentinhaber oft das Opt-out-Verfahren? Wie vereinfacht man komplexe Technik für Richter? Welche Rolle spielen persönliche Sympathien im Bewerbungsprozess? Antworten auf diese und viele weitere Fragen erhaltet Ihr in dieser Folge von IMR. Viel Spaß!

In this episode, my guest is Dr. Glen Jeffery, PhD, a professor of neuroscience at University College London's Institute of Ophthalmology and a leading expert on how light interacts with mitochondria to shape health and aging. Today, he discusses how red and near-infrared light penetrate deep into the body and improve mitochondrial function and overall health. We also discuss how detrimental modern indoor life has become and why expensive red light panels are likely unnecessary and possibly harmful.By the end, you'll understand sunlight as a biological input your body evolved to depend on and the low-cost, practical steps you can take to get more of it.FULL SHOW NOTES HERE: https://l1nk.dev/bjuu235 Sponsor: Shadowmap  https://app.shadowmap.org/?ref=jonathan&discount=JONATHANJ Code: JONATHANJ   Sponsor: Ra Opticshttps://www.raoptics.com/JONATHANJ Code: JONATHANJ About this guest:Academic Profile: https://profiles.ucl.ac.uk/7465 Google Scholar: https://scholar.google.com/citations?user=UYlObKkAAAAJ&hl=en LinkedIn: https://www.linkedin.com/in/glen-jeffery-441a2b1b/ Timestamps:00:16 Intro02:46 Dr. Glen Jeffery03:14 Love for Science, Undergraduate04:24 Tiina Karu, Photobiomodulation Origins, Mechanisms 06:14 Mechanisms, Cytochrome C Oxydase, Nanowater, Electron Flow10:56 Cytochrome C Oxydase, Extra-Pineal Melatonin, Oxidative Stress12:45 Gerald Pollack, Exclusion Zone (EZ) Water13:45 Red/IR Light Passes Through the Human Body; Optics18:09 Red Light On Fruit Flies; Lifespan, ATP Production21:15 Human Epidemiology; Sunlight, Lifespan, All-Cause Mortality22:35 Sponsor: Shadowmap23:30 Features and Benefits of Shadow Map25:02 Incandescents, lifespan, and more25:02 Incandescent Light Produces the Oldest Flies; Broad Band IR on Lifespan25:48 Incandescent Light Bulbs, Vision 28:19 Evolutionarily Conserved Mitochondria29:03 Long-Wavelength Light & Blood Glucose; Mitochondria32:50 Unpublished CGM Data; Long-Wavelength Light & Blood Glucose36:57 Are Red Light Panels Harmful?; Light Intensities, Precautions, Mitigations43:56 Why Do We See Beneficial Effects From Long-Wavelength Therapy? 46:43 Short-Wavelength Blue Light, Mitochondria, Mechanism49:08 The Built Environment, Actionable Steps 52:24 Sponsor: Ra Optics54:24 Flicker55:24 Retinal Health, Blue Light, Red/IR Light59:09 Clinical Trial for Mitochondrial Disease; Ptosis, Red Light01:02:31 Biophotons, Mitochondrial Communication, Red/NIR on Biophotons 01:13:54 Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Social Media, Substack Newsletter

It's Listener Mail time again, and this week the High on Home Grown community keeps the questions coming, covering everything from grow room troubleshooting to podcast ideas, with plenty of laughs in between! We kick things off by discussing whether LED grow lights really cause calcium and magnesium deficiencies, or if there's more to the story than growers often realise. We also answer questions about transplanting autoflowers, when (or if!) it's worth doing, and the best timing if you decide to give it a try. The panel also chats about electrical safety in the grow room, how much equipment can realistically be run from a single socket, and why modern LED lighting systems sometimes seem to come with enough cables to wire an entire house! We also discuss whether LED fixtures should be cleaned, how often, and the safest way to keep them running efficiently for years. Away from the grow room, we answer questions about when outdoor cannabis plants typically begin their stretch in northern climates, whether UK growers should be worried about potential changes to seed laws, and even discuss the possibility of introducing more of Margaret's much-loved story time episodes in the future. As always, it's another relaxed Listener Mail packed with practical growing advice, community questions, plenty of banter, and the usual dose of Lobby Lobster madness.

Terp Mansion is one of the fastest scaling Youtube channels in the cultivation space. Located in the Emerald Triangle he has expanded from a homestead to a 75,000+ square feet of canopy operation while living onsite with his family.Join Luke as he sits down with We The Growers Podcast and Roach from Jungle Boys to break down what it actually takes to run a cultivation brand growers respect — greenhouse production, LED vs HPS lighting, cannabis genetics, IPM, and scaling a brand from the bench to 80+ retail doors.We get into Terp Mansion and Jungle Boys time in Athena's Crowdsourced R&D program, including a lower-nitrogen feed strategy built to push smoke quality — nutrient timing, EC adjustments, foliar applications, and side-by-side trials that settle arguments theory never can. Cultivation moves forward when growers share what they learn.Then we go straight at the debate every grower has an opinion on: LED vs HPS. Terp Mansion lays out why LEDs have taken over greenhouse production for consistency and yield — and why HPS-grown flower still holds the edge for hash and rosin thanks to bigger trichome heads.On genetics, we talk Gorilla Glue, SFV OG, and why the old-school OG cultivars keep outgrowing the hype-strain cycle year after year.Whether you're a home grower, commercial cultivator, hash maker, breeder, retailer, or cannabis entrepreneur — this one's full of dirt-under-the-nails insight from someone actually building, testing, and growing at scale.Listen now on Spotify or Apple Podcasts:https://open.spotify.com/show/5VrbpGbAE9JYn3I0Vo8zSy?si=3832d93785d14a5fhttps://podcasts.apple.com/us/podcast/we-the-growers/id1620427747Follow Luke from Terp Mansion on Instagram:https://www.instagram.com/terp.mansionSubscribe to his YouTube Channel here: https://www.youtube.com/@terpmansion/Produced by the Athena Ag Team.We The Growers Podcast Instagram: https://www.instagram.com/wethegrowerspodcast/Athena Ag Instagram: https://www.instagram.com/athena.ag/Visit our Website: https://www.athenaag.com#WeTheGrowers #AthenaAg #ForTheCulture

On this episode of Fifty Shades of Green, Adam Lake and Katie Lanegran dive into the intersection of theatre and climate with Molly Braverman, Executive Director of the Broadway Green Alliance. If you love Broadway — or care about practical climate action — this conversation reveals how the theatrical world backstage and onstage is being transformed to reduce emissions, cut waste, and inspire audiences.Molly explains Broadway Green Alliance's two-part mission: make theatre operations more sustainable (lower emissions, boost circularity, change backstage practices) and use the cultural power of Broadway to reach audiences with climate solutions. She walks us through concrete, replicable programs that show sustainability can be both creative and cost-effective — and often a better business decision.Highlights from the episode:Green Captains: A volunteer program with over 1,600 green captains across Broadway, touring productions, colleges, unions, and community theatres. These sustainability champions receive department-specific toolkits and one-on-one support to implement changes that fit each show's needs, from stage management to props.Rechargeable batteries at Wicked: A striking example of impact — Wicked moved from 15,000 single-use alkaline batteries per year to 96 rechargeable batteries, dramatically reducing e-waste and costs while maintaining show safety.LED marquees: A Broadway-wide transition from incandescent bulbs to LEDs has saved over 10,000 tons of carbon to date and delivered substantial financial savings while preserving the iconic look of Times Square.Front-of-house and dressing room changes: From reusable glassware and reusable “sippy” cups to composting in dressing rooms, Molly shares how small visible shifts reduce waste and normalize sustainable behavior for audiences and performers alike.Circular programs and collections: BGA runs specialty collections (flowers and vases, instrument strings, binders and props) partnering with organizations like TerraCycle, D'Addario, Materials for the Arts, and local florists to keep materials in use across the community.Binder lending library: A Midtown lending system for binders (complete with library slips) to reduce single-use purchases for readings and rehearsals — a charming example of theatre's inherently reuse-friendly culture.Audience engagement & storytelling: BGA leverages Broadway's reach — from Earth Month concerts in Times Square to livestreamed events — to educate and inspire audiences. Molly describes using existing shows to “tell climate stories” and creating short climate-themed pieces (e.g., a 30-minute “Climate Talk” with showtune puns) to meet people where they are.Global connections: BGA collaborates with international counterparts (Julie's Bicycle, Theatre Green Book) to share best practices and amplify the performing arts sector's climate leadership worldwide.How to get involved: Molly invites theatre professionals, students, and fans to join BGA's free membership, follow @BroadwayGreenAlliance on social, sign up for the quarterly newsletter, attend public drives in Times Square, or support local theatres by asking what they're doing to be greener.Throughout the episode, Adam, Katie, and Molly keep the chat lively, full of theatre nerd energy and practical optimism. Whether you're a stage manager curious about digitizing paperwork, a performer wanting to start a compost routine, a fan wondering about reusable cups, or a student pursuing theatre and climate studies, this episode shows there's a place for you in the movement — and that “every job is a climate job.”Find out more at BroadwayGreen.com or follow Broadway Green Alliance on Instagram. Hosted on Acast. See acast.com/privacy for more information.

LEDs were supposed to be one of the great environmental success stories: a revolutionary technology that uses a fraction of the energy of traditional light bulbs. But have they really saved the world?In our new podcast Stuff Matters, economics and data editor Ed Conway takes an object, cracks it open and reveals the world shaping forces hidden inside.Each episode follows a trail of ideas that stretches beyond the object itself, uncovering far reaching economic powers that shape how we live.Along the way, Ed meets fascinating characters, from brilliant inventors to Latin American revolutionaries. He dives into their personal stories and reveals how they've changed the course of industries and economies.Because when you look closely enough, even the simplest things turn out to matter more than you think.Follow Stuff Matters to never miss an episode.

SummaryThis episode it's all about New Zealand lawn mower racing from Fieldays, where custom-built ride-ons are tearing up the paddock and the Red Bull Cut it event adds an epic jump and serious style points.We dive into the nicheness of mower mods, talk entry costs, and learn why LEDs and neons are all the rage in the pits. There's talk of VR racing, education with tech, and secret room dreams, plus how junior racers are getting involved.LinksNZLMRA WebsiteBazzas Garage YouTube Channel Hosted on Acast. See acast.com/privacy for more information.

Shop my all-natural skincare products at Arvoti.com.Are you sure sunscreen is the go-to solution for your body during the summer?The sunscreen conversation has become so loud that most people never stop to ask what's actually happening to their skin in the summer. I think we've been pointing at the wrong target for years.A couple of years ago, my research into sunscreen ingredients got me censored on social media and called a liar by a major outlet that later had to retract it. That experience pushed me further into a topic the system clearly doesn't want questioned.Sunscreen is one small piece. Your skin is also responding to heat, sweat, chlorine, smoke, air conditioning, the seed oils in your diet, the LEDs in every room you walk into, and hours of blue light from screens before bed.I want to talk about what your skin is actually asking for during the hottest months, why a damaged barrier often looks oily instead of dry, and what I changed in my own diet and home lighting that made the biggest difference. The answer was never another product.You'll Learn:[0:00] Introduction[3:00] Getting called a liar and banned from social media over sunscreen research[5:28] Why your skin's relationship with the sun goes way beyond sunscreen[7:40] The dehydration trap most people fall into during summer[9:45] Damaged skin barriers don't always look dry, and the cycle that makes it worse[13:21] Why two people in the same sun can have completely different experiences[14:52] How giving up seed oils changed my sunburn response[16:04] Artificial light may be doing more damage to your skin than sunlight does[24:05] Coming back into your body and tuning into what your skin is asking forRelated Gubba Homestead Episodes:Why I Don't Wear SunscreenResources Mentioned:Arvoti Sun Care Blend Tallow Balm | ShopArvoti Rose Revive Toning Mist | ShopFind more from Gubba:Gubba Homestead | X | Facebook | Instagram | Pinterest | WebsiteGubba Homestead Products | Shop

LEDs were supposed to be one of the great environmental success stories: a revolutionary technology that uses a fraction of the energy of traditional light bulbs. But have they really saved the world?In our new podcast Stuff Matters, economics and data editor Ed Conway takes an object, cracks it open and reveals the world shaping forces hidden inside.Each episode follows a trail of ideas that stretches beyond the object itself, uncovering far reaching economic powers that shape how we live.Along the way, Ed meets fascinating characters, from brilliant inventors to Latin American revolutionaries. He dives into their personal stories and reveals how they've changed the course of industries and economies.Because when you look closely enough, even the simplest things turn out to matter more than you think.Follow Stuff Matters to never miss an episode.

On today's show we look at some AppleTV and Home announcements from the Apple WWDC and look at what that fuss is about the new Sony's True RGB TVs. We also read your emails and take a look at the week's news. News: Households Used More Than 10 Video Services Daily Google Rolls Out a Major Update to Its Google TV Streamer 4k Apple TV from Apple's WWDC 2026 Key takeaways for Apple TV from Apple's WWDC 2026 are relatively modest and software-focused, as the event emphasized iOS 27. tvOS 27 Highlights for Apple TV Larger Text / System-Wide Text Size Adjustment: A new accessibility option lets users increase on-screen text size across supported apps and the interface. AI-Generated / On-Device Subtitles: tvOS 27 adds real-time automatic subtitle generation for videos lacking built-in captions (including personal content).  Other Refinements: Expect Liquid Glass UI polish, performance/stability improvements, smarter recommendations, and better smart home/HomeKit ties. Siri upgrades (more conversational, on-screen awareness) should improve voice control on Apple TV, though full Apple Intelligence features may wait for new hardware. tvOS 27 developer betas are available now post-keynote, with public release expected in fall 2026 alongside other OS updates. As far as the Apple Home app goes, updates  mainly dealt with Apple Intelligence integration for smarter camera handling and notifications: The Home app now uses Apple Intelligence to generate natural language descriptions of compatible camera footage, letting you search clips conversationally by saying something like,  "show me when the dog was in the backyard" Smarter batched notifications that feel less overwhelming. Alerts are intelligently grouped and dynamic instead of constant floods. Accessory updates update in real-time as conditions change. With deeper Siri AI and Shortcuts integration you can describe automations in natural language and let Siri build them (including Home shortcuts). Voice control becomes more conversational and context-aware. Hardware Notes No new Apple TV 4K hardware was announced at WWDC (consistent with expectations). A refreshed model with A17 Pro (or similar) for full Apple Intelligence/Siri 2.0 support, better smart home capabilities, and possibly Wi-Fi 7 has been "ready for months" but is being held for later in 2026 to align with the advanced AI features. What is Sony's True RGB TV All About? Sony's True RGB is Sony's marketing name for their advanced RGB Mini-LED backlight technology, introduced in 2026 for high-end BRAVIA TVs the BRAVIA 9 II and BRAVIA 7 II series. How True RGB Works Traditional Mini-LED or QLED TVs typically use white or blue LEDs as the backlight, then pass that light through color filters or Quantum Dots to create colors. This filtering process can reduce color purity, brightness, and efficiency. Sony's True RGB technology takes a different approach by using tiny independent red, green, and blue (RGB) LEDs in the backlight, with each color LED controllable separately across thousands or even millions of local dimming zones, generating color directly at the light source before it reaches the LCD layer rather than filtering white light. Sony's True RGB technology delivers purer and more accurate colors with a significantly wider color volume and gamut, higher peak brightness while maintaining excellent color accuracy, superior contrast and black levels that can challenge OLED performance in certain scenarios, improved energy efficiency through smart power distribution algorithms that use less power than previous generations, and outstanding off-angle viewing with minimal color shift. Key Advantages Sony Highlights Sony's True RGB technology delivers true-to-source color accuracy, backed by the company's deep professional monitor expertise and decades of innovation in RGB technology dating back to the groundbreaking 2004 QUALIA series. This is powered by advanced RGB Backlight Master Drive processing that expertly manages the immense complexity of controlling millions of individual colored diodes in real time. Overall, it successfully combines the best of Mini-LED brightness with near-OLED levels of color performance and contrast. In short, True RGB is Sony's premium implementation of direct RGB Mini-LED backlighting. Sony emphasizes not just the hardware (RGB LEDs), but their proprietary optical design, drivers, and image processing to make it perform better than competing RGB LED TVs from other brands. Sony True RGB Models with Pricing (2026 Lineup) Prices are MSRP/launch pricing (as of mid-2026; actual street prices and sales vary by retailer like Best Buy, Crutchfield, or Sony's site). Larger sizes command big premiums. BRAVIA 7 II - more accessible entry into True RGB, excellent color and brightness for the price 50" — ~$1,600 55" — ~$2,100 65" — ~$2,600 75" — ~$3,100 85" — ~$4,000 98" — ~$9,000 BRAVIA 9 II - higher brightness, more advanced processing, better anti-glare, and local dimming performance 65" — ~$3,600 75" — ~$4,600 85" — ~$6,500 115" — ~$31,000 (a massive premium flagship option)

Jason and Krystal take you behind the scenes of the Charlotte and Knoxville workshops! From lighting models through the slats of a mule barn with continuous LEDs to transforming a shuttered country bar into a cinematic playground using flash, fans, and modifiers, This episode is packed with practical photography lessons and unforgettable road stories.  Hear how the MagMod gear helped shape the shoots, how workshop attendees learned to adapt when the "perfect" gear wasn't available, and why turning a monolight into a constant light source can save the day.Along the way, there was an impromptu brake replacement in an AutoZone parking lot, a mosquito-infested posing session in Knoxville, a two-light flash setup that lit up an entire forest, and a nighttime LED shoot in front of the iconic Tennessee Theatre while fending off curious scooter riders determined to get Krystal's attention.The road trip wraps up with great sushi, great memories, and a look ahead to San Francisco, an upcoming Iceland scouting trip, and the next round of Mini Masterclasses coming soon to the Pacific Northwest and beyond.Real Talk. Raw Stories. No B.S.

Cinematographers Darren Tiernan, ISC and Peter Deming, ASC are the DPs of Spider Noir, the new MGM Plus and Amazon Prime series starring Nicolas Cage as the hard-boiled 1930s New York detective version of Spider-Man. The character is based on Marvel Comics featuring Spiderman Noir, and first introduced in Spider-Man: Into the Spider-Verse. Tiernan and Deming created a series that looks like a classic film noir using vintage lights, custom LUTs and a “noir vocabulary.” We dive into: -How the production created a dual release simultaneously in both black and white and color. -Lead DP Darran Tiernan worked for months on LUT development and a workflow that kept every department aligned on both versions from day one. Monitors on set showed what the scenes would look like in black and white. -Why both Darren and Peter used old tungsten lights with Fresnel lenses instead of LEDs whenever possible. Not out of nostalgia, but out of necessity for getting the hard light that defines film noir. -How rigorous preparation, from shot decks before the first meeting to photo boards and green screens on location, allowed creative freedom to take risks in the moment when the cameras were rolling. -Why the goal was never to recreate classic noir but to absorb its philosophy of shadow, composition and expressionistic light and apply it to this specific story. That distinction is what makes Spider Noir feel fresh rather than like a period piece. Find Darran Tiernan: https://darrantiernan.net/ Instagram: @dazt Find Peter Deming: Instagram @peter_deming Spider Noir is now streaming on MGM Plus and Amazon Prime. SHOW RUNDOWN: 03:10 Close Focus 14:42-01:06:55 Darran Tiernan interview 01:06:58-01:39:36 Peter Deming interview 01:40:40 Short ends 01:53:43 Wrap up/Credits The Cinematography Podcast website: www.camnoir.com YouTube: @TheCinematographyPodcast Facebook: @cinepod Instagram: @thecinepod Blue Sky: @thecinepod.bsky.social

We break away from our usual educational episodes to talk about what's actually going on in our lives. Steve's daughter is graduating, Brad's rebuilding a trailer, and the roasting begins immediately starting with Steve's 40 yards of concrete project that never happened.Our conversation bounces from home improvement disasters to paint color debates (chartreuse with zebra stripes, anyone?) to what summer looks like when we're not recording podcast episodes. Brad's golfing in 31-degree weather. Steve refuses to shingle his own roof despite knowing how. We argue about whether Cookie Monster blue or lime green with pink LEDs makes more sense for a trailer.We wrap the episode with what's next for the show. We're thinking about an in-person event late 2026 or 2027, somewhere between Detroit and Milwaukee. We want to know what would get you to show up. What would make it worth your time?Highlights:We ditch the usual format for a conversation about summer plans and roasting each other.Steve's daughter graduates and heads to college.Brad debates trailer paint colors while Steve deals with deck repairs and roof quotes.What's next for the show: a potential in-person event if you want one.Let us know. Would you attend an event? If so what would make it a "Hell Yes" to attend? Email us your ideas. We appreciate you being here.Get in touch with us:Check out the Blue Collar BS website.Steve Doyle:WebsiteLinkedInEmailBrad Herda:WebsiteLinkedInEmailThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrpOP3 - https://op3.dev/privacy

What if the biggest thing holding your photography back isn't your camera, lens, or lighting—but your ability to read people?In this episode of Jason Lanier Unfiltered, Jason and Krystal recap the first stop of the Mini Masterclass Tour in Pensacola, Florida and dive deep into one of the most overlooked skills in portrait photography: understanding human body language.Too many photographers become obsessed with settings, gear, and technical perfection while completely missing the signals their subjects are sending. Is your subject comfortable? Nervous? Unsure? Losing confidence? The answers are often written all over their face and body long before they ever say a word.Jason and Krystal discuss how learning to read posture, eye contact, facial expressions, movement, and energy can transform an average portrait session into an unforgettable experience.They share real-world examples from the Pensacola workshop, including how to get a shoot started with shy subjects, how to keep momentum flowing, why storytelling creates authentic emotion, and the critical difference between directing a subject and simply asking for permission.The conversation also covers:Why photographers often struggle during the first five minutes of a shoot.How men and women frequently approach portrait sessions differently.Reading confidence versus discomfort in real time.Building trust quickly with subjects.Using communication to create genuine expressions.Why great portrait photographers are often great people readers.Lessons learned while shooting in Pensacola's historic Seville Quarter District.Lighting techniques using the Godox AD300 Pro, LEDs, vintage vehicles, and environmental lighting.If you've ever wondered why some photographers consistently create authentic, emotional portraits while others struggle to get natural expressions, this episode may completely change the way you approach your next shoot.Because the best portrait photographers don't just understand light.They understand people.#JasonLanierUnfiltered #PortraitPhotography #BodyLanguage #PhotographyPodcast #PhotographyEducation #PortraitPhotographer #PhotographerLife #PhotographyWorkshop #MiniMasterclass #PensacolaPhotography #HumanConnection #StorytellingPhotography #PosingTips #PhotographyBusiness #GodoxAD300Pro #PortraitTips #CreativePhotography #PhotographerMindset #PhotographyTraining #FedoraNation

A weekly live show covering all things Freedom Tech with Max, Q and Seth.In this week's Freedom Tech Friday, Max welcomed back Zach Herbert, CEO of Foundation, for a deep dive into practical health sovereignty, starting at home. We moved beyond Bitcoin, seed phrases, and secure elements to the everyday systems thinking Zach has applied to his own biology. We tackled the big three of home optimisation; water, air, and light. Max and Zach explored how to choose and install reverse osmosis with remineralisation (and why it matters), whole‑home and countertop options for renters, UV sterilisation, shower filters, and the very real issues of PFAS, fluoride, and microplastics. On air, we explored CO₂ monitoring, ERV/HRV ventilation, humidification/dehumidification strategies, realistic budgets for owners and renters, and why indoor CO₂ quietly wrecks performance and sleep. When it came to light, they contrasted high‑CRI, no‑flicker LEDs with incandescents, circadian effects, dim‑to‑warm setups, and why harsh, blue‑heavy flicker can spike stress and fatigue, especially for kids.Max and Zach then dug into targeted personal health: why genetic insights should precede bloods, balancing privacy with utility, and how DNA variants (MTHFR, vitamin D conversion, dopamine response, drug metabolism) can explain lab results and guide smarter supplementation (methylated B vitamins, vitamin D) and protocols (sauna, blood donation trade‑offs). They also hit practicals on electrolyte quality and salt (ditch stevia/citric acid, choose clean salts), everyday toxin minimisation (tallow skincare, hydroxyapatite toothpaste, cleaner hair care), and a level‑headed take on parasites and ivermectin.The theme throughout: use tech to restore a more natural environment and reclaim health autonomy without going “100‑step protocol” make quick wins for renters and owners alike that compound over years for you and your family.[[BILLLKEONNE]]TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

Para precio y disponibilidad, vaya a este vínculo: https://amzn.to/4332Vhg En este episodio los conductores presentan y prueban un nivel electrónico con sensores integrados y LEDs que cambian de verde a amarillo y rojo para indicar cuánto está fuera de nivel. Muestran cómo funciona el potenciómetro interno, sus modos vertical y horizontal, el imán inferior, el compartimiento de baterías y el botón de encendido, y explican usos prácticos para colgar cuadros, nivelar mesas, carretillas o trailers.  

Valve hiked Steam Deck prices by up to $300 as RAMageddon hits consumer electronics. Bloomberg detailed Apple's Siri overhaul ahead of WWDC, Meta rolls out subscription plans for Instagram, Facebook, and WhatsApp, and Oura unveils a 40% smaller Ring 5. Valve hikes the Steam Deck OLED's prices due to "rising memory and storage costs": from $549 to $789 for the 512GB model and from $649 to $949 for the 1TB model (The Verge) Illustrations based on sources detail Apple's Siri overhaul, including a new UI, a chatbot-style app, and other major iOS 27 changes, ahead of WWDC on June 8 (Bloomberg) Meta rolls out Plus plans for Instagram, Facebook, and WhatsApp globally, and tests $7.99/month and $19.99/month Meta AI plans, and a $49.99/month creator plan (TechCrunch) Reactor, which says its AI platform can generate video in real-time with near-zero latency, emerges from stealth with a $59M Series A led by Lightspeed (Variety) Oura unveils the Oura Ring 5, with a 40% smaller form factor, improved sensing, and repositioned LEDs, on sale from June 4 for $399, up from the Ring 4's $349 (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices

Chris just got back from a work trip to Madrid He also got to hang out with Matt Venn (and coworker Mike Szczys) in Valencia Dave has a new data center going in across the street Chris enjoyed this episode of Prof G Markets where they talked about the impact of data centers on power and the rise of “behind the meter” generation Dave without internet for a week. Chris has had multiday losses after fiber has been cut in his neighborhood. Humanoid robots…on a plane! Chris has been working on 0201 components on a tiny Bluetooth board The Iran War and subsequent rise in petroleum product sourcing issues is starting to impact the PCB industry PCBs we are used to ordering at low cost (JLC, PCBway, etc) are normally loss leaders to get larger business later Chris found his low cost microscope from Florin/Voltlog trinocular video  lcamtuf will be on the show soon, Chris bought a CNC mill because of a single webpage of his making TagMod board is a new breakout Chris made for injecting power through a 10 pin TagConnect cable. NXP devboards somehow have LEDs as bright as the sun Dave has been revisiting his solar analytics (update: he figured out he’s getting charged more too!) Chris has been working at Canonical (makers of Ubuntu, new owners of Golioth) for a few months now. That was the trip to Spain. Dogfooding your own product Chris created a backronym: “Application Level Program Optimization” or… ALPO Chris built a new vibe coded project for talking to Zephyr devices using Web Serial and passing firmware packages over SMP CI/CD Debian now requires “fully reproducable” builds to harden against supply chain attacks Veritasium video about Linux bug

Text me what you thought of the show

In this episode, Dr. Jockers breaks down allulose, the natural sugar alternative that has minimal impact on blood sugar and insulin. You'll learn why it's a keto-friendly option that supports fat burning and can replace sugar in recipes without digestive issues. We explore how allulose promotes liver health, improves cholesterol, and aids in metabolizing fat around your organs. You'll also hear how it interacts with beneficial gut bacteria to create postbiotics that strengthen your intestinal lining. Discover practical tips for using allulose in everyday cooking and baking, including adjusting temperatures and times for optimal results. By the end, you'll understand why this sweetener is gaining attention among functional health experts and how it can fit into your lifestyle.     In This Episode:  00:00 Allulose Absorption Basics 01:32 Sugar Problems Sweetener Alternatives 03:19 What Is Allulose 04:15 Baking With Allulose Tips 05:01 Digestion Tolerance Explained 06:17 Blood Sugar Insulin Benefits 09:05 Liver And Gut Health Perks 11:16 How To Use And Buy Allulose 13:28 Choosing Sweeteners Avoid Processed 14:44 Final Baking Reminders Wrap Up 15:42 Podcast Closing And Reviews   If you want to burn belly fat…boost your energy levels…balance blood sugar…or relieve swelling in your legs or feet… Then you need to check out PureHealth Research immediately.   This company makes some amazing health-boosting supplements that are manufactured right here in America. They only use natural, non-GMO ingredients that are backed by the latest science and proven to work.   And right now, you can save 35% on all of their products with this special subscriber-only offer. Just use your exclusive coupon code JOCKERS at checkout.   Upgrade your hair routine effortlessly with the iRestore Elite, an at-home device using 300 lasers and 200 LEDs to stimulate hair regrowth. Clinically proven to help restore fuller, healthier hair, it works while you relax, watch TV, or journal. Pair it with the Revive+ Max Growth kit or Biotin Gummies for extra support. Right now, get an exclusive discount with code DRJOCKERS at iRestore.com and start your hair transformation today!   "Allulose has about 90% fewer calories and very little impact on your blood sugar, making it keto-friendly and safe for diabetics."  ~ Dr. Jockers     Subscribe to the podcast on: Apple Podcast Stitcher Spotify PodBean TuneIn Radio     Resources: Visit https://www.purehealthresearch.com/ - Use code DRJOCKERS for 35% Use code DRJOCKERS at https://irestore.com/ to claim your discount today!     Connect with Dr. Jockers: Instagram – https://www.instagram.com/drjockers/ Facebook – https://www.facebook.com/DrDavidJockers YouTube – https://www.youtube.com/user/djockers Website – https://drjockers.com/ If you are interested in being a guest on the show, we would love to hear from you! Please contact us here! - https://drjockers.com/join-us-dr-jockers-functional-nutrition-podcast/ 

Freddie is recording from a kitchen in Sardinia — Cynthia on the couch, Gladiator 2 queued up, and a commitment to never miss a Monday. In this solo dispatch, he revisits the recent episode with Elaine Pauli and MagnaWave, sharing new clinical data that wasn't in the original episode: PEMF therapy didn't just reduce prostate size by 27% in 30 days — it actually changed how mitochondria process carbohydrates and sugar, restructuring the cell's ability to generate energy going forward. He connects this to one of the most compelling proofs in the field — a non-union fracture that fails to heal for seven years suddenly restarting bone growth when exposed to high-powered PEMF — and the Kentucky Derby winner who crossed the finish line after using MagnaWave every day in training. This isn't fringe anymore. It's FDA cleared as a Class II medical device. And Freddie has been waiting for this moment for over five years. He also shares a personal announcement: after championing Light Path LED since 2018, Freddie has officially stepped into a leadership role at the company alongside founder Scott Kennedy and Ben Carlson. He breaks down the new Titan panel — six feet of full-body red light coverage, three spectrums, 1,000+ LEDs, a mechanical adjustable stand, and a five-year warranty — and explains why even a 0.2% daily increase in mitochondrial output compounds into something profound over seven years of consistent use. The episode closes with something rarer in the wellness space: a genuine reflection on the healing power of doing nothing. Florence, Rome, Sardinia, good food, long walks, and people watching. No emails. No protocols. Just presence — and the reminder that the tools only work if the nervous system is calm enough to receive them.    Episode Highlights [02:38] – New MagnaWave findings on prostate size and mitochondrial function [03:42] – PEMF as a signaling tool rather than the source of healing itself [06:00] – MagnaWave's FDA-cleared progress and the future of PEMF adoption [07:10] – Freddie announces his leadership role with Light Path LED [09:15] – The new Titan red light panel and why accessibility matters [13:50] – The compounding effect of small daily wellness habits [15:02] – How chronic illness forced Freddie to rethink his lifestyle choices [16:05] – Why travel and unplugging can be deeply therapeutic [17:58] – Reflections on rest, perspective, and slowing down outside daily routines   UPGRADE YOUR WELLNESS Get AuraWell PEMF: https://calendly.com/cameron-ci3b/podcast Silver Biotics Wound Healing Gel: https://bit.ly/3JnxyDD Code: BEAUTIFULLYBROKEN LightPathLED https://lightpathled.com/?afmc=BEAUTIFULLYBROKEN Code: beautifullybroken STEMREGEN: https://www.stemregen.co/products/stemregen/?afmc=beautifullybroken Code: beautifullybroken Flowpresso 3-in-1 technology: (https://calendly.com/freddiekimmel/flowpresso-one-on-one-discovery) CONNECT WITH FREDDIEWork with Me: https://www.beautifullybroken.world/biological-blueprintWebsite and Store: (http://www.beautifullybroken.world) Instagram: (https://www.instagram.com/freddie.kimmelYouTube: https://www.youtube.com/@beautifullybrokenworld Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

You can build wearable headbands with neopixel LEDs that respond to BLE beacons at Disney Theme Parks. Guide: https://learn.adafruit.com/ble-beacon-neopixels These NeoPixel accessories interact with Disney BLE devices like MagicBands, Starlight bubble wands, and park statues. This means you can use Disney products like the bubble wands to cast colors to our custom NeoPixel projects. Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Shop for parts to build your own DIY projects http://adafru.it/3dprinting 3D Printing Projects Playlist: https://www.youtube.com/playlist?list=PLjF7R1fz_OOWD2dJNRIN46uhMCWvNOlbG 3D Hangout Show Playlist: https://www.youtube.com/playlist?list=PLjF7R1fz_OOVgpmWevin2slopw_A3-A8Y Layer by Layer CAD Tutorials Playlist: https://www.youtube.com/playlist?list=PLjF7R1fz_OOVsMp6nKnpjsXSQ45nxfORb Timelapse Tuesday Playlist: https://www.youtube.com/playlist?list=PLjF7R1fz_OOVagy3CktXsAAs4b153xpp_ Connect with Noe and Pedro on Social Media: Noe's Twitter / Instagram: @ecken Pedro's Twitter / Instagram: @videopixil ----------------------------------------- Visit the Adafruit shop online - http://www.adafruit.com/?utm_source=youtube&utm_medium=videodescrip&utm_campaign=3dprinting Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Adafruit Monthly Deals & FREE Specials https://www.adafruit.com/free?utm_source=youtube&utm_medium=videodescrip&utm_campaign=3dprinting Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell Watch our latest project videos: http://adafru.it/latest?utm_source=youtube&utm_medium=videodescrip&utm_campaign=3dprinting 3DThursday Posts: https://blog.adafruit.com/category/3d-printing?utm_source=youtube&utm_medium=videodescrip&utm_campaign=3dprinting New tutorials on the Adafruit Learning System: http://learn.adafruit.com/?utm_source=youtube&utm_medium=videodescrip&utm_campaign=3dprinting Music by Dan Q https://soundcloud.com/adafruit -----------------------------------------

Dr Alexander Wunsch returns to the Regenerative Health Podcast for a deep exploration of photoimmunology, circadian biology, metabolism, melanopsin signalling, infrared light, and the profound biological effects of the modern light environment.In this conversation we discuss:Whether sunlight is immune suppressive or immune supportiveThe circadian timing of immune functionThe relationship between metabolism and light exposureMelanopsin and the non-visual light pathwayArtificial blue light and metabolic dysfunctionNear-infrared light and mitochondrial biologyWhy sunlight cannot be reduced to “vitamin D”Circadian synchronisation and modern indoor livingFlicker, LEDs and spectral qualityPhotobiomodulation and natural sunlightDr. Alexander Wunsch, MD, PhD is a German physician, researcher and one of the world's leading experts in photobiology and light medicine.If you enjoy the episode, please subscribe, leave a review, and share it with someone interested in health optimisation, circadian medicine and metabolic health.SUPPORT MY WORK

This short podcast is from the Bry-X stage of the 7th Annual HVACR Training Symposium: Cheryl Klein's "Surge Protection for HVAC." Cheryl is with DITEK, a veteran-owned company based in Florida, and has extensive knowledge of whole-home surge protection and HVAC-specific surge protectors. HVAC systems may have their lifespans reduced by power surges (tens of thousands of volts within microseconds) or sustained overvoltage. Surge protectors specifically protect the equipment from power surges, though DITEK manufactures products that help manage sustained overvoltage (and undervoltage, which surge protectors CANNOT protect against). Nearby lightning strikes and high voltage from the utility company (especially after undervoltage) are common causes of surges. Everyone in the country has risks of power surges, but some areas are exceptionally high-risk, whether due to utility causes or climate (lightning storms). Degradation is the invisible damage that occurs over time with repeated surges. Destruction can be associated with a specific event, like a direct lightning strike or a blown transformer. Surge protection helps with both; when a surge comes through, the surge protector directs the surge to ground instead of your HVAC equipment. DITEK uses thermally protected MOVs (TPMOVs) to redirect the surge; TPMOVs react to surges and change from a low-impedance state to a high-impedance state, effectively pointing the surges to ground, and only a clamped voltage makes it to the HVAC equipment. However, surge protectors will degrade with each event; DITEK's surge protectors have LEDs indicating their health. NEC 2020 requires surge protection on all dwellings, so many homeowners have whole-home surge protection already installed. Surge protection on the HVAC unit can still be added as an extra layer, which provides better protection for the HVAC system specifically. HVAC surge protection works at the condenser. DITEK's KoolGuard2 (KG2) is a voltage monitor that works on single-phase equipment under 40 continuous amps. It cuts power if the power exceeds or dips too far below the typical voltage, and then it restores power after three minutes. It also does not require programming, but it has a few best practices, such as reducing lead length to improve the clamping voltage and keeping protected and unprotected wires in separate conduits. Ground must also be within code have low enough impedance to redirect the surges effectively; the resistance can only be measured properly with a megohmmeter or clamp meter. DITEK also has three-phase surge protection for commercial equipment and has options for BAS systems.   Learn more about DITEK's products and DITEK University at https://www.diteksurgeprotection.com/.  Have a question that you want us to answer on the podcast? Submit your questions at https://www.speakpipe.com/hvacschool. Purchase your tickets or learn more about the 7th Annual HVACR Training Symposium at https://hvacrschool.com/symposium. Subscribe to our podcast on your iPhone or Android. Subscribe to our YouTube channel. Check out our handy calculators here or on the HVAC School Mobile App for Apple and Android.

What if the thing you struggle with most could become your greatest strength? In this episode, I sit down with Dennis Szymanski, a semiconductor engineer who has lived with a stutter his entire life and learned to manage it through a powerful mix of science, self-awareness, and holistic living. Dennis shares how his journey through speech therapy, stress management, and personal growth shaped both his mindset and his career in nanoscale engineering and compound semiconductors. You will hear how early support, resilience, and curiosity helped him move from struggling to speak to confidently presenting, creating, and even writing a children's book. I believe you will find this conversation inspiring as it shows how challenges can guide you toward purpose, clarity, and an unstoppable mindset. Highlights: 00:10 Learn how early support and environment shape confidence and long term growth 09:43 Understand what it means to live with a stutter and manage it daily 11:10 Discover why the root cause of stuttering is still not fully understood 35:07 Learn how speech therapy has shifted toward treating the whole person 47:32 Understand how stress directly affects speech and performance 56:01 Discover how creativity and purpose come together through writing and innovation About the Guest: Hello everyone! My name is Dennis Szymanski, and I was born and raised on Long Island, New York. Over the course of my life, I have moved 11 times up and down the East Coast of the U.S., meeting many people and having amazing experiences, all the while working on my relationship with my stutter. I currently embrace my inner beach bum and reside in a sleepy North Carolina beach town with my girlfriend Samantha and Lennie the turtle. I have spent the better part of my academic and professional career in the semiconductor industry. I hold a Ph.D. in Materials Science and Engineering from North Carolina State University and currently work as a Product Engineer for a U.K. semiconductor manufacturing firm. In my personal life I enjoy playing disc golf, reading, playing the trumpet, yoga, entrepreneurship, public speaking, and any water sport you can imagine. The beach has always been, and forever will be, my home, my place of peace and solitude, a place to "Be As You Are". As a stutterer, I have practiced the physical art of communication ever since I have been able to talk. As a trumpet player, I understand the power of controlled breath. As an Engineer, I always strive to dig deeper. As a communicator, I believe it is all about connecting with people. As a human being, I endeavor to live a holistic life, where each facet compliments the others. My stutter made me a better engineer, just like my understanding of controlled breath as a trumpet player has made me a better communicator. I find myself to be a lifelong learner, believing that there is room for constant improvement even if, somewhat ironically, the area for necessary improvement is my (in)ability to rest and recharge. I love to travel and take much of my inspiration from the world around me. A change of scenery, pace, environment, and/or people is almost always welcomed in my life. No matter if I am out on the surfboard, generating an engineer data sheet, or giving a talk on stage, I live my life by once simple sentence: “It is all about the people.” Ways to connect with Dennis: website link is www.drdennyeddie.com LinkedIn: https://www.linkedin.com/in/dennisszymanski/ TikTok: https://www.tiktok.com/@drdennyeddie Instagram: https://www.instagram.com/drdennyeddie/ Facebook: https://www.facebook.com/dennis.szymanski.35 About the Host: Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog. Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards. https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/ accessiBe Links https://accessibe.com/ https://www.youtube.com/c/accessiBe https://www.linkedin.com/company/accessibe/mycompany/ https://www.facebook.com/accessibe/ Thanks for listening! Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below! Subscribe to the podcast If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset . Leave us an Apple Podcasts review Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts. Transcription Notes: Michael Hingson  00:04 What if the biggest thing holding you back isn't what's in front of you, but rather what you believe Welcome to unstoppable mindset where inclusion, diversity and the unexpected meet. I'm your host. Michael hingson, speaker, author and advocate for inclusion and possibilities, this podcast explores how the beliefs we carry shape the way we live, lead and connect with others. Each week, I talk with people who challenge assumptions, face adversity head on and show what's possible when we choose curiosity over fear. Together, we focus on mindset resilience and the small shifts that lead to meaningful change. Let's get started. Well, howdy, once again, everyone and welcome to another episode of unstoppable mindset. It is a wonderful time here. We're recording this just a couple of days before Thanksgiving, and I especially give thanks for the fact that I get to join all of you and do these podcasts. So I want to thank you all for being here, and I want to thank our guest, Dennis Edward Szymanski, we're going to stick with Dennis, but we really appreciate you being here. And Dennis is involved with semiconductors. He lives life to the fullest. We were just talking before we started about his turtle. Lenny the turtle, he can he can talk about that if he wishes. And he also has some other interesting things that I'm looking forward to chatting about since he brought it up, and that is that he is, among other things, or he was, a stutterer, and so he lives with his stutter. He now lives in North Carolina on a beach, so it's his inner beach bum that he is supporting anyway. Dennis, without all without going in any much more detail about any of this, welcome to unstoppable mindset. We're glad you're here, Dennis Szymanski  02:15 Michael, not just because it's Thanksgiving. I am very grateful and thankful to be here with you, to have met you, as well as to be here with all the guests on unstoppable mindset and all the listeners to us, whether you're watching listening, it's great to be here and happy to have this great discussion here with you today. Michael Hingson  02:36 Well, we're glad you're here, and this will I'm looking forward to it. This will be a lot of fun. Why don't we start with kind of the early Dennis. I don't always start that way. Start with kind of the early growing up person, and let's go from there. Dennis Szymanski  02:50 Of course, I think a good place to start a lot of the time is the beginning. So I I'm a New Yorker, born and raised on Long Island to two very loving parents who have been supportive throughout all of my endeavors, from supporting me and my stuttering journey to encouraging me to pursue other outlets like music, encouraging me to stick to my academics and and even supporting my love of pets, which, as you alluded to, I have a turtle right now. Her name is Lenny, but she she is one of many dogs, lizards, hamsters, ferrets, chinchillas, birds. We've had a lot of pets growing up, and you know that that has informed, actually a lot of my current worldview, but we can, we can get to that later. Michael Hingson  03:45 What does your girlfriend think about all that? Dennis Szymanski  03:48 Well, my girlfriend is a four legged pet woman herself staying outside of tanks. That's, that's one of her remits. So Lenny, we got to realize our shared dream, me, my girlfriend, and Lenny of getting Lenny out of the house, out of the tank and into a pond in the backyard of my home here on the coast of North Carolina. So we're all happy. It's, it's been a, it's been an amazing summer. They are getting us all out of the house. So that's a good thing. You know, she's she's very supportive of of Lenny. We, we had two dogs together. Unfortunately, they were old and have since passed on. But we're planning to get some some, some new four legged friends down the line. And we are even in the process of courting, adopting a stray cat that is hanging around our our neighborhood. So it's a nice it's a nice middle ground there not as much responsibility as a dog, you know, a stray cat, but still the potential for the companionship and for the routine and for taking care of something that I know we. Both miss being absent dogs. Not that Lenny doesn't take taking care of it's just a different companion, yeah, different kind of pet Michael Hingson  05:10 we we have my guide dog, Alamo, and as listeners know, we also have stitch, the cat, who will be 16. We think in January, we rescued her. We think at about the age of five, family didn't want her, and they said, Take her to the pound. And we said, No, we'll find her a home. And along the way, I happened to ask what the cat's name was, and they told me that the cat's name was stitch. And I knew this cat wasn't going to go anywhere, since Karen had been a professional quilter since 1994 so quilters aren't going to give up an animal named stitch. Dennis Szymanski  05:44 No, too, too many coincidences there to just not, not go ahead with stitch. Yeah, so, Michael Hingson  05:53 so stitch is with us. Dennis Szymanski  05:55 We, we, we think a very similar way all the pets that I had, I actually never had a cat that was my own, just parents were allergic. Sister was allergic, things like this. Brother was allergic. But when our most recent dog passed, we noticed that this cat started coming around at a very at only a few weeks before he passed. So we think that they had a little bit of a conversation to say that, you know, a little changing of the guard, a proper handoff, if, if you will. So we're looking forward to having our tuxedo cat, which we named very appropriately and affectionately tuxy. We're unsure if it's a boy or a girl, yet. So we went with tuxi butcher, straying back from, from, from the original topic, coming back on, yes, the stray cat pun was somewhat intended. I get it born and raised, Long Island, New York. I left there when I was 17 out of high school to pursue my undergraduate degree in engineering, I stepping back a little bit. My father's a insurance agent, but a serial entrepreneur. He cut his teeth in the insurance industry, but now is heavily involved in a cybersecurity startup. So a man who wears many hats, and my mother is in it. So my first desk job, if you will, was in computers, and that kind of led me down the path of some sort of engineering related to computers. So I went up to the colleges of nanoscale science and engineering up in Albany, New York, for those familiar with the SUNY system, it's a State University in New York up in Albany, where I did four years there, and I studied nano scale engineering, which is a fancy way to say material science, with a focus in semiconductors, which led me to take my first job in industry while I was actually still getting my undergraduate degree, which bolstered my decision to continue on down here to North Carolina. I actually took my first step down in Raleigh as a PhD candidate at NC State, where I studied material science and engineering as well. And two things I've always you know, kept close is the love of business as it relates to technology. So I have a minor in business from my time in undergrad, as well as I took several MBA courses and got a technology Entrepreneurship Certificate from from NC State. So I take the business and the technology. I've married those into a career here as a product engineer for a compound semiconductor manufacturer, all of which we can get into a little bit more. But the other love that I keep close and have recently had a renaissance in my life, is my love of music. I was actually faced with a choice of music or engineering back when a lot of us started to apply to college or university at that time in their life, in high school, and I chose the engineering route, but but always kept the love of music. It was my first paying job, playing in a gig, playing gigs in bars when I was younger and right now I actually, like I said, I'm having a renaissance. I took a little bit of a hiatus while life got busy in grad school and getting my feet under me in the corporate world, taking my first job, but learned to to understand the need, the need that my brain, you know, to have that left brain, right brain, creative mind, logical mind flexed, and just to to have the time to myself. It's something that I enjoy, something that I've enjoyed since I'm eight years old. And, you know, I'm happy to keep continuing it. And I want to finish the opening monolog here, if you will. With. With something you said that I'm a lifelong stutterer, and ever since I opened my mouth, I can remember having disfluent speech, and I have to say that the biggest support that my parents ever gave me was encouraging me, as well as helping me at a very young age start in speech therapy, I I have met so many people in my life that Dennis Szymanski  10:32 did not have supporting parents or a supporting situation, and to To see that impact and that thread be traced throughout my life, and, you know, and juxtaposing it to other people's lives, it really makes a difference to have that supporting environment, that belief, because, you know, you said it, I live with the stutter Every day. It's very well managed. Now in my life, there was a time where I could not finish a sentence when I was in elementary school, early middle school, without having a stutter. But now I've learned through speech techniques, living my life in a relatively holistic way, how stress relates to my stutter and so many other things that I can manage it a lot better. But as my fellow stuttering people out there that might be listening, you always live with it. You know you're you're never, quote, unquote, cured. You're always having that stutter, managing it, whether it's overtly or covertly, it's always there. But very happy to get into all of that and more here with with you Michael, as as we kick off the episode. Michael Hingson  11:54 So what? What causes stuttering? Do we really know Dennis Szymanski  11:59 that's what, in part, is so fascinating is that we can't really pinpoint it, whereas to say this part of the brain for sure is, you know, impacting this part of your vocal cord in this way. And if we get in there and treat it however way it's going to go away there, of course, is ideas that you know certain parts of your brain have more of an impact or influence, and that it does directly relate to your vocal cords, because, at least from my stutter, how It works, and how I could, you know, most effectively explain it is my vocal cords simply lock up. So normal vocal cord operation, it's like a string on a violin, right, or string on a guitar. If you pluck it, it resonates, vibrates, makes sound. Your vocal cords work just the same, but their mechanism of quote, unquote, plucking is the air that you breathe. So if they lock up, you don't have vibration, you don't have sound, you don't have speech. And what's interesting is that if you were to put your your your ear or your hand to my mouth during a stuttering episode, there's still air flow like there's still air leaving my mouth, just as it does during fluent speech, but there's just no action and something else that is very interesting about the You know, my my stutter, and I've talked to other stutterers that have a similar experience, is that we know what we want to say. It's all upstairs. It's all formulated. It's just the physical blocking of the vocal cord, at least in my case and I, I make the, you know, the I make it important to say my case, because there is very different manifestations of stuttering, stammering, how one might block, how one might repeat a word. What are different triggers, etc. So in a nutshell, we don't really know which is why there's so many different theories, methodologies of treatment, how to cope, deal with, treat the the stud itself. Michael Hingson  14:32 Yeah, it's, it's fascinating, and I appreciate you giving us that explanation of it. It is something that I think is very important to point out that one of the things you mentioned is extremely crucial. Your parents were supportive. They helped you. My parents did the same thing when it was discovered that I was blind. Yeah, and a number of parents have really bought into helping their children recognize they can do whatever they choose and that they can deal with so many different issues. And oftentimes we also hear about parents who don't support some people succeed in spite of it, and some do not. But it's so important to really know that we, some of us, have parents who really help and and will do anything that they can to assist us in making life better for us Dennis Szymanski  15:41 and when we first got connected, and then afterwards, doing more listening to your talks, and other episodes of unstoppable mindset, I had learned that your parents were were supportive as well, and that made a mental note, as a matter of fact, to bring this up here in this talk, because I could not agree more the importance of support of your parents, especially as a young child, that's where everything starts. But then even as we grow our friends, you know, larger family and the networks that that that we keep is are so important to our development success as individuals. Michael Hingson  16:24 Yeah, so your parents are still with us. Dennis Szymanski  16:28 They both. Are they both? Are they divorced when I was very young, but that, again, you know, had no bearing on the support and the love I have a stepfather and a stepmother who are equally incredible and supportive. I always said I just got double the family that loves and cares. There you go. And my mother still lives on Long Island in the house where I grew up, so I love to go visit. Was just back there a couple of weeks ago, and are heading back up, you know, a couple of weeks time. And my dad actually lives in South Carolina. He relocated with my stepmother and my brother. They are around the Columbia area, so we're actually both Dennis' in the Carolinas. So that's actually quite nice. And I'm just just just saw him a couple of days ago, and I'm gonna see him, you know, on the Thanksgiving holiday as well. So looking forward to, looking forward to that. Michael Hingson  17:31 Well, last time I was back in the New York area for any length of time, I spent a week last year in Lindenhurst speaking to the Lindenhurst union free school district, and that was a lot of fun. Fortunately, it was before the snow hit. Oh, yeah, Lindenhurst. Dennis Szymanski  17:51 Lindenhurst was about a half an hour from where I grew up, one of the many, many towns that is the infinite urban sprawl of Long Island. Michael Hingson  18:00 Yeah. Well, yep. Well, it was fun. I was there for almost a week, and spoke to lots of sixth, seventh and eighth graders, did some faculty training, but enjoyed the area, and I've enjoyed Long Island every time I've been out there. So it was kind of fun. Well, I want to go back to this idea of nano scale. Tell me a little bit more about nano scale engineering. Dennis Szymanski  18:26 Absolutely, like I said, it's basically material science and engineering, but with a focus in semiconductors. So having had the hindsight now traditional material science background from NC State. When I went to do my graduate work, things like traditional material science, so metal stress strain curves. Didn't learn that in undergrad, focusing in semiconductors, I learned about transistors and the ethics of scaling semiconductor technology and computer programming at a very basic level that could help run certain parts of a semiconductor process. So very specific, very targeted focus that was nanoscale engineering. I was very fortunate to be the sixth graduating class out of the small colleges of nanoscale science and engineering. Like I said, that was part of the SUNY Albany system, and very hands on. I was in a building on the University's campus that was essentially an office building with 250 private companies pooling their resources in the office space as well as laboratory space, clean room space, but with a couple of classrooms. So not only was I rubbing shoulders with classmates, I was rubbing shoulders with people who worked at IBM or global founder. Or ASML Tokyo electron. These are big international companies that play in the semiconductor manufacturing space, and little did I know that was going to kickstart this incredible journey that has led me here to being a product engineer for a compound semiconductor manufacturer focused on gallium nitride power technology. So where people might be hearing this is in the AI data center talk. This material is going to enable faster, cheaper, cooler, more efficient chips, as well as you might have noticed, electric vehicles, your laptop, even your cell phone, charging a little faster and in recent years, and those bricks that used to sit on your lap and burn your lap get there, they're cooler. They're not as hot. All of these are direct advancements in compound semiconductor technology, semiconductor technology and essentially nanoscale engineering. And to go to its most fundamental route, you know engineer, nanoscale engineering is engineering on the nanoscale. And where we're at with semiconductor technology is we are looking at in silicon, a transistor is about a nanometer, two nanometers, which to put it in perspective for everybody listening, your hair, the width of your hair is 60 to 80 micrometers and nanometers are three orders of magnitude smaller, smaller than micrometers. So you can imagine that the reason we need clean rooms in semiconductor manufacturing is because one of your hair could wipe out hundreds, if not 1000s, of transistors on one of the chips, which nobody wants, right? You want a good manufacturing process that has high yield. So nano scale engineering has been was, was the start for for me with you know, the continuation of that has been to go into, as I said, material science in a more quote, unquote, proper sense, learning those stress strain curves, learning a little bit of polymer science, All applications and material science, but staying focused from age 17 till now on nanoscale engineering, which is material science focused, and semiconductors, Michael Hingson  22:51 if I recall, right, transistors were developed somewhere around 1948, so I mean, my gosh, that's only 77 years ago, ago, and look how far we've come. Dennis Szymanski  23:05 It truly is mind boggling. Michael Hingson  23:08 Michael, at the same time, we need to do something to figure out how to stop so many lithium ion batteries from causing fires somewhere. Dennis Szymanski  23:19 It's they're both material science problems for sure that that need to be tackled. I agree, Michael Hingson  23:26 yeah, one of those things that we're we're on the cusp of so many different developments. People talk about autonomous vehicles and so on. But, you know, the reality is, we're on the cusp. We're living through the the change that is coming. And personally, from my perspective, in my opinion, I can't wait for the time that we get to take driving out of the hands of drivers, because too many drivers don't do very well. Dennis Szymanski  23:55 You know, I have a very similar opinion, even though I will say one of my childhood dreams was to become a race car driver. So I do love to drive. I had an eighth of a mile go kart track in my backyard growing up, and one of the things that kept my sanity during my PhD program was going to the local go kart track and getting to put in some time trials. So I love to drive, but from a safety perspective, I could not agree with you more that it's high time that that we can implement some better safety and probably less traffic. Michael Hingson  24:33 Well, given the way most people seem to drive up here in Victorville or out here in Victorville, I am of the absolute opinion that I can drive as well as they can anyway, so Dennis Szymanski  24:44 we'll see. You know coming, coming from the New York driving environment to the North Carolina driving environment. Some things are similar, some things are very different, but, but it's definitely been, been fun spending almost half of my life. You know now down down down here in North Carolina, we had Michael Hingson  25:04 some people visiting us when my wife and I lived in New Jersey, and we drove into the city, and they said that the people who are with us, these cab drivers, are crazy. Just look at the way they drive. I would never want to be in a cab with with any of those drivers. And Karen pointed out, my wife pointed out something very relevant and so true for most cab drivers, at least back then, she said, look at those cabs. Do you see any dents? Do you see any dings? And they said, No. And she said, So what do you mean? You wouldn't want to be in those cars. You're probably safer in those cars than most anywhere else. Dennis Szymanski  25:48 She was right. She makes a good point. Michael Hingson  25:50 Practice. Makes perfect. It does. I love checker cabs, but we don't see those anymore. That's too bad. But oh well. But you know, one of the one way or another, I think that the time will come when autonomous vehicles will will make driving a lot safer, and that'll be good. But we're not there yet, and we're not there with with so many things I mentioned, the lithium ion batteries, they would they too will get better, and we will get over all of that. Now, of course, what we need to do is to make sure that we still have rare earth elements around. But that's going to be another challenge that we face over time. Dennis Szymanski  26:27 Yes, that's that's part of the fun, Michael, of being actually in material science as a discipline that it encompasses so many different touch points that we have in our life. One of my closest friends and was a colleague in my PhD program, is working on solid state battery technology that could potentially replace lithium ion technology and solve some of those problems just and it spans the whole gamut. I have a friend doing nuclear waste remediation. So very, very cool material science as a whole. You know, I'm obviously very enveloped in and my love is semiconductors, but my insatiable curiosity, I think I'm in the right field at Michael Hingson  27:20 large, yeah. What's the difference between incumbent semiconductors and compound semiconductors? Dennis Szymanski  27:30 Incumbent semiconductor technology has been predominantly silicon. So the raw material is you go to the beach and you get sand. That's obviously very oversimplifying. I'm not saying that you know TSMC or Global Foundries, or any of these guys are going to the nearest beach, but that is the raw material. It's very high purity. Silicon and compound semiconductors, on the other hand, are still very pure. That's one of the biggest material challenges of semiconductors at large, is to make them pure. But, and I'm glossing over a ton of physics and a ton of material science when I say pure. So just for any any fellow material science colleagues out there listening, I am aware that I glossed over a lot, but compound semiconductors are compound so you have two or more elements that come together that have semiconducting properties. So indium phosphide, indium and phosphorus, gallium nitride, gallium and nitrogen, aluminum gallium nitride, aluminum gallium and nitrogen. So they all come together. And what's very, very handy about these compound semiconductors is they can address a lot of niche applications in a much more efficient way than the incumbent silicon technology. So silicon technology can do a lot, I'm going to venture to say, almost everything we need. But the perfect example, and is on the top of everybody's mind is AI. You're not going to have AI in the form that we know it, if at all, without these compound semiconductors, silicon is just too inefficient. It's, you know, we've, we've reached certain limits at the material level that we need these compound semiconductors to get more efficient, AI, faster data interconnects, even, you know, charging your phone, laptop, electric vehicle, quicker, all of these are enabled. Enabled, and then to continue to iterate and improve, necessitate improvements and compounds. I mean, yeah, Michael Hingson  30:07 and that's, of course, the real key, speed and efficiency have a lot to do with it. I don't know. I remember having being a ham radio operator. I remember some of the early radios that I worked with. It was before, as ham operators would tell you, they went dark and went from tubes to transistors. So I remember vacuum tubes. My father was a TV repairman in Chicago before we moved out to California when I was five. And of course, then the biggest thing you ever replaced in a TV was a tube, although you did resistors and other things as well. But now, of course, it's a totally different animal. Oh, yeah, absolutely. Dennis Szymanski  30:50 I mean, the the vacuum tubes are exactly replaced with transistors. You replace with LEDs and all the different different things that modern semiconductors have enabled. Michael Hingson  31:00 They take a whole lot less power and are a lot a lot cooler in in the sense of, Well, I guess in cool in all ways. I had one I had one ham radio. It was a Polycom, and I forget the model number, but it ran extremely hot. We finally put a fan on one end of it to pull air through it. But without the fan, I could actually thaw and heat tater tots on it. It was so hot. Dennis Szymanski  31:29 Wow, you, you, you had a two in one. There you had, I did, and the ham radio Michael Hingson  31:35 all at the same time. It was great. But, yeah, I understand, and tubes are were replaced, and rightly so, by transistors. But a tube is a great way to teach the whole theory of how it all works and give you a way to see it in a very visual way that you're not going to see with transistors very well. Dennis Szymanski  31:57 That's true, and something that I was actually just kind of reappreciating Today was the history of it all, and how it's so important to realize that science and history are obviously inextricably linked from the progression standpoint, And then from what you said, it's it's so easy to to forget fundamentals and kind of get lost in the sauce, if you will. But I fully agree with what you say, that sometimes the quote, unquote old technology is actually just as good, if not better, a way to teach the fundamentals of the new technology, yeah, because so often they just build off of one another, right? Michael Hingson  32:49 The reality is that the process hasn't changed in terms of what they do. It's just that the product itself has changed, and it's become a lot more efficient and so on. But still, you're, you're moving electrons and and controlling them with positive and negative charges through the whole transistor process, just like you used to do with tubes, exactly, exactly. That's what makes it so, so interesting. And as you said, we take it way too much for granted. But I think that overall, it's it's great to have the old technology and the perspective to learn from, which is extremely important to do well. So what did you get your PhD in? Dennis Szymanski  33:40 So my PhD is in material science. Okay, that's what it is. My dissertation was on Super junction devices, a novel way to utilize gallium nitride in that particular device structure, super junction. So I again PhD, high level material science, compound semiconductors. And I focused on one particular material system, gallium nitride. And the goal was to learn about the material itself, make the material better and more suitable to be utilized in this type of transistor architecture that's called a super junction. Michael Hingson  34:32 So have we yet discovered a way to have any kind of superconductor operate at room temperature? Dennis Szymanski  34:39 Well, I didn't discover that there's been I mean, I keep up to date as best I can on other areas of the science world, and I know that we're doing really cool research that was previously thought to be impossible, right? Like most cutting edge scientific research.

Are AI glasses finally having their iPhone moment?In this episode of Metavertising, Ely Santos sits down with Oscar Falmer, Wearables Developer Advocate at Meta, to unpack why Meta AI glasses are gaining real consumer traction after years of AR hype, headset experiments, and false starts.Oscar has spent nearly a decade in XR, previously working in Developer Relations at Apple and Snap, helping developers build AR experiences for mobile, social platforms, and wearable devices. Now at Meta, he supports developers creating content for Meta AI glasses.Together, we explore why the winning form factor may not be full AR glasses yet, but lightweight AI glasses that people actually want to wear every day.In this episode, we cover:Why mobile AR and social AR were important stepping stones, but never the final form.Why AI glasses are working now: lightweight design, long battery life, camera, audio, and multimodal AI.The most valuable use cases today, from hands-free memories to real-time contextual assistance.How developers can build for Meta Ray-Ban glasses using camera, microphone, speakers, and phone-based processing.Why developers should not ignore the massive non-display smart glasses audience.Where the money is today: client work, museums, venues, enterprise, factory workers, and AI-powered tour guides.What developers need to know about privacy, LEDs, recording safeguards, and responsible use.Oscar's smart glasses industry tracker, and what it reveals about hardware, optics, controllers, SDKs, and China's fast-moving ecosystem.Why China may offer a glimpse into where smart glasses and wearables are heading next.If you're a developer, founder, marketer, museum innovator, or brand strategist trying to understand the next computing platform, this episode is a practical look at what is real, what is coming, and where the opportunity may be.Guest: Oscar Falmer — Wearables Developer Advocate at MetaHost: Ely Santos — Metavertising PodcastFollow Oscar Falmer on LinkedIn and X/Twitter.Follow Ely Santos on LinkedIn.

Send us Fan MailWhat if the most underrated wellness upgrade in your home isn't a gym membership or a new mattress — it's your closet? In this episode, Donnie sits down with Brent Irish, owner of Closet Envy Tampa Bay, to talk about why organized spaces reduce stress, save time, and quietly reshape how a home actually feels to live in.What You'll Learn:Why post-pandemic homeowners want relationships, not transactionsHow custom closet design actually works — from inventory count to 3D renderingThe trends shaping closets in 2026: tunable LEDs, line boring, sustainable melamineWhy professional organizing is the missing piece most companies skipHow to build a business — and a home — around your life, not the other way aroundAbout Brent: Brent Irish is the owner and GM of Closet Envy Tampa Bay. After 18+ years in the custom closet industry — starting at California Closets — Brent launched Closet Envy to bring a more personal, design-driven experience to homeowners across Tampa, St. Pete, Sarasota, Atlanta, Dallas, and beyond.Connect with Brent:Website: https://closetenvytampabay.com/Closet Envy national: https://closetenvy.com/Stay Connected with Palm Harbor Local:Newsletter: https://palmharborlocal.comInstagram: @palmharborlocalIf this episode brought you value, subscribe, leave a review, and share it with a neighbor who could use a little more calm in their space.Stroll through the laid-back streets of the Palm Harbor community with this informative podcast, proudly brought to you by Donnie Hathaway with The Hathaway Group, your trusted guide and local expert in navigating the diverse and ever-changing property landscape of Palm Harbor. Work with me + FREE Resources Would you like help buying a home in Palm Harbor? - Buyer ConsultationWould you like help selling your house in Palm Harbor? - Seller Marketing ConsultationDownload our free buyer's guide today - Buyer's Guide

Als Andre P. am 2. Januar in seine Wohnung zurückkehrt ahnt er nicht, dass sich in den nächsten 24 Stunden dramatische Szenen abspielen werden: Sein PC, unser aller PC, startet nicht mehr. Die Lüfter drehen, LEDs leuchten, aber er kommt nicht mehr zu sich. Was folgt, ist die Beschreibung einer dramatischen Notrettung. Gemeinsam mit PC-Chefarzt Dr. Stange beginnt ein Ringen um das Leben des kaum 2 Jahre alten PCs, in dem schnell feststeht: Ohne Transplantation, wird hier nichts gehen. Und nicht alle Einzelteile werden diese Rettungsaktion lebend überstehen. Falls ihr jetzt dieses dringende Abo-Gefühl verspürt (oder auch nur ausreichende Mengen an Mitleid), kann der Dr. auch dabei helfen: https://www.gamespodcast.de/abo/

Episode 309 starts with cracks forming inside OPEC as clean energy and EV adoption begin to reshape global oil demand. We look at why producers may rush to sell while they still can, then shift to fusion power timelines that are still far off, a transit upgrade that paid for itself in months—not years—and Spain's grid proving renewables weren't to blame for its massive blackout. Plus, how LEDs quietly crushed one of the biggest sources of household electricity use. Commonwealth Fusion Systems applying to connect a 400 MW plant Planned for Virginia's "Data Center Alley" Would serve part of the PJM grid (65M+ people) Timeline: not anytime soon   BART Gates Pay Off in 6 Months $90M upgrade to new fare gates Expected 9-year payback → actually 6 months Story: https://growsf.org/news/2026-02-12-bart-fare-gates-10-million/ Spain's Blackout: Renewables Cleared 2025 blackout initially blamed on solar   Lightning Round Lithium supply more than sufficient EV buses: 56% of EU sales Oslo road deaths ~1/year after redesign India skipping coal boom thanks to cheap renewables Contact Us cleanenergyshow@gmail.com or leave us an online voicemail: http://speakpipe.com/clean Support The Clean Energy Show Join the Clean Club on our Patreon Page to receive perks for supporting the podcast and our planet! Our PayPal Donate Page offers one-time or regular donations. Store Visit The Clean Energy Show Store for T-shirts, hats, and more!. Copyright 2026 Sneeze Media.

LEDs lack balance and spike blue light. See how our artificial light habits drive oxidative stress, sleep disruption, and disease. #LEDHealth #LightPollution #BlueLightHazard #HealthTalks

Natural light has amazing power to support a healthy body, but the wrong kind of light can actually undermine it. This week on Green Street, Patti and Doug talk about the administration's efforts to reclassify burning plastic as “manufacturing,” and how a new breed of mechanical "trash traps” are helping communities reduce plastic pollution. Then Dr. Joshua Rosenthal, nationally recognized expert in the power of light, talks about how sunlight can help regulate our Circadian rhythm and promote good health while blue light from computer screens, televisions, and LEDs is detrimental to our bodies.  Vist our website at https://www.greenstreetnews.org

SEASON 2 - EPISODE 190 - Steve Ramsey - Gaffer In this episode of the Team Deakins Podcast, we speak with gaffer Steve Ramsey (THE BRIDE!, WEST SIDE STORY, JOKER). We worked with Steve on THE GOLDFINCH, and we had a great time catching up with him. During our conversation, we discuss what a gaffer actually does, what his or her responsibilities can be, and how Steve adjusts his process to work with cinematographers ranging from Janusz Kamiński to Vittorio Storaro—and us! Steve also grants us insight into working on the sets of several Steven Spielberg films, and he shares how he and the film's cinematographer will prepare a scene to give room for Steven to follow his instincts. We also reflect on the rise of LEDs, and we discuss a few instances in which classic tungsten lights and gels solved a problem on the day. At the end of the episode, Steve gives his advice for anyone interested in a career as a gaffer, and we reflect on the job's non-descriptive title. - Recommended Viewing: WEST SIDE STORY (2021) - This episode is sponsored by Aputure

Cambodia just put up a statue to honor someone who made a great contribution to public safety.  His name was Magawa, and he was an African giant pouched rat who just happened to be trained to detect land mines. Plus: a "simulated skylight" is a recessed ceiling fixture that uses LEDs to make it look like you're seeing in the sky, even in rooms where you can't. Cambodia unveils statue to honour famous landmine-sniffing rat (BBC)Simulated Skylight (The Awesomer)We honor our Patreon backers, who help make this show possible

Rushi Kumar, vice president of engineering at DMF Lighting, sat down in the VW Buzz podcast van to discuss how engineering, design and technology are converging to redefine modern lighting. Here, he traces his journey from Lutron to Crestron to DMF, sharing insights into how LED innovation, digital lighting and tunable technologies are enabling new levels of design precision and user experience.Kumar also discusses how AI and intelligent control systems are shaping the next generation of smart lighting, balancing automation with simplicity for homeowners and integrators alike.Inside the Podcast Van With Rushi Kumar"As an engineer, you're always thinking about why something is done a certain way and how to make it better,” Kumar begins. “The key is converting that into something people actually want — a useful product rather than just a cool piece of technology.”He notes that while the transition from incandescent to LED lighting emerged as necessary for energy efficiency, it initially came at the expense of quality. DMF's goal, he says, has been to bring back the warmth and visual comfort of incandescent lighting while taking advantage of what LEDs make possible — such as smaller apertures, tunable white technology and cohesive linear integration.“With digital lighting, designers can now fine-tune every fixture, match color consistency across products and create truly personalized spaces,” Kumar explains.He also highlights balancing sophistication with simplicity in lighting control. While the industry has embraced apps and advanced automation, he emphasizes that usability must remain central. “Lighting control should be simple,” emphasizes Kumar. “Anyone's parent should be able to walk in and turn on the lights.”Looking ahead, Kumar sees artificial intelligence as a valuable design assistant — helping integrators and designers streamline planning, commissioning and even anticipate customer behavior. “AI will make systems smarter and more responsive,” he states, “but it's still about enabling comfort and control, not replacing human intent.”

Mistral has been on an absolute tear - with frequent successful model launches it is easy to forget that they raised the largest European AI round in history last year. We were long overdue for a Mistral episode, and we were very fortunate to work with Sophia and Howard to catch up with Pavan (Voxtral lead) and Guillaume (Chief Scientist, Co-founder) on the occasion of this week's Voxtral TTS launch:Mistral can't directly say it, but the benchmarks do imply, that this is basically an open-weights ElevenLabs-level TTS model (Technically, it is a 4B Ministral based multilingual low-latency TTS open weights model that has a 68.4% win rate vs ElevenLabs Flash v2.5). The contributions are not just in the open weights but also in open research: We also spend a decent amount of the pod talking about their architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens (typically only applied in the Image Generation space, as seen in the Flow Matching NeurIPS workshop from the principal authors that we reference in the pod).You can catch up on the paper here and the full episode is live on youtube!Timestamps00:00 Welcome and Guests00:22 Announcing Voxtral TTS01:41 Architecture and Codec02:53 Understanding vs Generation05:39 Flow Matching for Audio07:27 Real Time Voice Agents13:40 Efficiency and Model Strategy14:53 Voice Agents Vision17:56 Enterprise Deployment and Privacy23:39 Fine Tuning and Personalization25:22 Enterprise Voice Personalization26:09 Long-Form Speech Models26:58 Real-Time Encoder Advances27:45 Scaling Context for TTS28:53 What Makes Small Models30:37 Merging Modalities Tradeoffs33:05 Open Source Mission35:51 Lean and Formal Proofs38:40 Reasoning Transfer and Agents40:25 Next Frontiers in Training42:20 Hiring and AI for Science44:19 Forward Deployed Engineering46:22 Customer Feedback Loop48:29 Wrap Up and ThanksTranscriptswyx: Okay, welcome to Latent Space. We're here in the studio with our gues co-host Vibh u. Welcome. Thanks. Excited for this one as well as Guillaume and Pavan from Mistral. Welcome. Excited to be here.Guillaume: Thank you.swyx: Pavan, you are leading audio research at Mistral and Guillaume, you're Chief Scientist,Announcing Voxtral TTSswyxHost(00:05) Okay. (00:05) Welcome to Lean Space. (00:06) We're here in the studio with trustee co-hosts, Vibhu. (00:09) Welcome.VibhuHost(00:11) Very excited for this one.swyxHost(00:12) As well as Guillaume and Pavan from Mistral. (00:15) Welcome. (00:16) Excited to be here. (00:17) Thank you for having us.(00:18) Pavan, you are leading audio research at Mistral and Guillaume, you're a chief scientist. (00:23) What are we announcing today where we're coordinating this release with you guys?GuillaumeGuest(00:26) Yeah, so we are releasing Voxtral TTS. So it's our first audio model that generates speech. It's not our first audio model. We had a couple of releases before.(00:35) We had one in the summer that was Voxtral, our first audio model, but it was like a transcription model, ASR. Like a few months later, we released some update on top of this, supporting more languages. Also a lot of table stack features for our customers, context biasing, precision, timestamping and transcription. We also have some real-time model that can transcribe not just at the end of the level.(00:56) You don't need to fill your entire audio file, but that can also come in real-time. And here, this is a natural extension in the audio, so basically speech generation. So yeah, so we support nine languages, and this is a pretty small model, 3D model, so very fast, and also state of the art. Performed at the same level as the base model, but it's much more efficient in terms of cost, and also much, in terms of cost, it's also much cheaper, only a fraction of the cost of our competitors.(01:22) And we are also releasing the work that this model is running.swyx What's the decision factor?Guillaume It's a good question.swyxThere will be more. Yeah, Pavan, any sort of research notes to add on?Architecture and CodecPavan: But it's a novel architecture that we develop inhouse.We traded on several internal architectures and ended up with a auto aggressive flow matching architecture. And also have a new in-house neural audio codec. Which, converts this audio into all point by herds latent [00:02:00] tokens, semantic and acoustic tokens. And yeah, that's that's their new part about this model and we're pretty excited that it's, it came out with such good quality and Jim was mentioning. Yeah, it's a three B model. It's based off of the TAL model that we actually released just a few months back and insert trunk and mainly meant for like the TTS stuff, but they need text capabilities are also there. Yeah.swyx: So there's a lot to cover.I always I love any, anything to do with novel encodings and all those things because I think that's obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language.What did you find that you have to revisit from scratch as you joined this trial and started doing this? At leastUnderstanding vs GenerationPavan: when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier.The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two.To your question on how audio is fed to the model? In the understanding model, it's very similar to actually Pixar models that we also released,swyx: yes.Pavan: That'sswyx: amazing.Pavan: It was pretty, I, that was the first project I worked on after joined Misra. It was pretty, pretty nice. And Wtu was very similar in spirit.I guess So we feed audio through an audio encoder similar to images through a vision encoder, and it produces continuous embeddings and which are fed as tokens to the main transformer decoded transformer model. Yeah. On the model output is just text. So on the output side, there is nothing that needs to be done in these kinds of mode.I [00:04:00] guess the interesting part of what the generation stuff is, the output now has to produce audio and. The approach that we have is this neural audio codec, which converts audio into these latent tokens. There is a lot of existing attrition and a lot of models which are based off of this kind of approach.And we took a slightly. A different, design decisions around this. But at the end of the day, the neural audio product converts audio into a 12.5 herdz set of latents. And each latent is, has a semantic token and a set of acoustic tokens. And the idea is that you take these discrete tokens and then feed it on the input side.There's several ways to use this at each frame, but we just sum the embedding. So it's like having key different vocabularies. Combine all of them because they all correspond to one audio frame on the input side. The output side is the interesting part on the output side, the, it's not the, I don't know if it's the most popular, but one.Popular technique is to have a depth transformer [00:05:00] because you have K tokens at each time step, like with a text, you just have one token at each time step. So you just do predict the token from the vocabulary with, yeah, with just, you get probabilityswyx: This's a very straightforward text. VeryPavan: straightforward.swyx: Yeah.Pavan: But if you have K tokens, then the name thing would be to predict all of them in paddle. That doesn't work. At least that doesn't work that well because audio has more entropy. And the, one of the techniques people use is this depth transformer where you you almost have a small transformer, or it can be L-S-T-M-R in as well, but people use transformers and you predict the K tokens in auto aggressive fashion in that.So you have two auto reive things going on.Flow Matching for AudioPavan: So the thing we did differently is in, instead of having this auto aggressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set we trained the codec to be both discrete and continuous to have this flexibility.So we did try the discrete stuff too, and which it works well, but the continuous stuff works just better. So yeah, we took this flow matching, so the, it's a flow [00:06:00] matching head, which takes the latent from the main transformer and like kind in fusion, it's denoising, but in this flow matching itself, velocity estimate.So you go from this noise t all the way to there. Audio latent, which corresponds to the 80 millisecond audio and then, which is sent through the work order to get back the 80 millisecond audio frame.swyx: Yeah. Is this the first application of flow matching in audio? Because usually I come across this in the image.Pavan: Yeah. Actually, in some sense there are models flow matching models in audio, but I think this specific combination I could be wrong. There could be somewhat. No. I haven't seen. I haven't seen much work in this, so I think it's novel and a lot of it's just a way bigger community, so they, I think they pioneer a lot of these diffusion flow matching work, and it's interesting to adopt some of the ideas there into audio and,swyx: yeah.Pavan: Yeah, I'm, personally that's the think part which is trying out about. One of more meta point is unlike text, even in vision, I think this is true, but in [00:07:00] audio step literature that there is no.Winner model, yet there is no, okay, this is the way you do things. It's it's still by, I think people are still iterating and figuring out like what's the best overall recipe. I guess the idea. Pretty sure there are models which are also completely end-to-end, like NATO audio. NATO audio, but it's still not come to a convergence point where this, the right way to think that.That also makes. A space pretty exciting to explore.Real Time Voice AgentsVibhu: What are some of the ways to look at it?Vibhu: There are ways where you can do diffusion for audio generation, but if you want like real time generation, that's a big thing with the approach I'm assuming that you took. Yeah. And also like how do you go about evaluating different axes of what you care about, yeah,Pavan: good point. I think we so you can do just flow matching diffusion for the whole audio. We didn't even go down that path because one of the main applications is voice agents and we want real time streaming, and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to.So we [00:08:00] picked the auto aggressive approach for that. And within the auto aggressive space, again, you can do chunk by chunk or you can do so we picked the. I think at least personally prefer the operations, which are the simplest, and so we try to see, can we just add audio as just another head to our regular transformer decode model because that kind of makes it easier for eventual end-to-end modeling of audio text native modeling.Yeah. And it works pretty well. So I guess we went with that and we tried a little bit, but the flow matching head itself, like we had a discreet. Diffusion kind of approach, which also works well, but the flow matching work better.swyx: I was just curious about how you also think about this overall direction of research.Do you basically, when you work with the audio team, do you set some high level parameters and then let them explore whatever, or how does it work between you guys?Guillaume: No I think the way it works is that we are the, we are prioritizing together, I think, what are the most important features because there are many things we can do [00:09:00] in audio.Yeah, I think we try to. These are like how we should do things, for instance. Ultimately what we want to do is to build this through duplex model, but we are not going to start this start there directly, I think is. Some of the project people are doing, butswyx: just to confirm, full effects means it can speak while I'm speaking or,Guillaume: yeah.Okay. Audio. Yeah. Yeah. So intimately we're going to get there, but for us it was, we decided to take it like a step by step. So we start with whatever is the most important. I think support customers, which is the transcription is the most popular use case. Then the speech generation, Soviet time, just a bit before that.And then actually to be like more, but try combining everything all together. But but yeah, we thought it was also important to like separate things and optimize each capability one by one before weswyx: measure of that together. And the super omni model. ButGuillaume: very interesting because as Par said, it's when you work on some other domains of this airline and everything, there are many areas where I think it's not as interesting.For instance. Many places, it's essentially just around data or like creating new environments on a lot of kind [00:10:00] of easy things. But things were, I think the research is maybe not as interesting. Were in audio. There are so many ways to actually build this model. So many ways to go around it. That's the sense I think is really interesting.And what we also tried for speed generation is that we tried multiple approaches. What was interesting that even though they were extremely different, they under the big know the particles but the for matching turned out to be quite more natural. So we are happy with this.swyx: Is there intuition why it maybe like flow matching is just models speech better in some natural fundamental, latent dimension?Pavan: No, I think the main thing is e even at a particular time step, there is a distribution of things.swyx: Yes.Pavan: To be predicted like the way you inflate. So you already know the word that you're speaking and Yeah. The intake space, let's say the word maps register a single token for simplicity.In most cases it does. So there is not a lot of so you just pick the word, but with within audio, even the same word could, even with your own voice, could be inflicted in so many different ways. And I think [00:11:00] any approach which like models this distribution and. And flow matching is one, one of the take.It's not the only one at all, but it's a one which works pretty reasonably well. I think that's better. So you have to pick across several different, the intuition I have is it's, there are some, several different clusters each corresponding to some specific way you would inflict, pronounce that thing.And you can't predict the mean of it because that corresponds to some blurred out speech or something like that. But you have to pick one. And then like sharpswyx: conditional inference.Pavan: Yeah, exactly.swyx: Is that all covered under disfluencies, which is I think the normal term of art. Pauses intonations. By the way, I have to thank Sophia for setting all this up, including like some of these really good notes becausePavan: Yeah.swyx: I'm less familiar with the audios for me.Pavan: No. I think dis dismisses are definitely one such Eno defenses is more likeswyx: which is arms are.Pavan: Yeah, arms. And also repeat like you like,swyx: yeah.Pavan: You do this full of words, your thinking, so you repeat the word.swyx: Okay. Whereas intonation is like a diff, it's up up [00:12:00] speak and all this.Okay.Pavan: Yeah. So I think there is a lot of like entropy. And modeling it as a distribution. And a, any technique which helps with it and the depth transformer is a conditional way of modeling this. And Transformers actually really good at it, even though that's a mini transformers. So I think that worked pretty well too for us too.It's just that the main concentration is when you have a depth transformer. If you have K tokens, you need to do K auto steps, right? Even though it's a small thing, it's K steps, which is very vacant, say heavy, but flow matching. We were able to cut it down significantly. So we are able to do the inference in quad steps or 16 steps and it works pretty well.And there are more normal techniques to bring it down even further to like, in extreme case, one step like we're not doing it yet, but it at least the framework, LEDs itself to more efficient and Yes.swyx: And the image guys have done.Pavan: Yeah.swyx: Incredible work guys. Yeah.Pavan: It now you just. Send a prompt and you get an image.swyx: Yeah. Surprisingly not enough. I think image model labs use those techniques in production. I think it's, I feel like it's a lot of research demos, but [00:13:00] nothing I can use on my phone today.Guillaume: The thing, there's a thing that would be interesting here is that since, indeed I've been so much sure that has been done in the vision community compared to radio dys, stomach, I think there are so many long infra Yeah.And there are so many things we can do to actually improve this further. So it's our first version, but we have so many ways to exist, much better and much more efficient, cost efficient, soswyx: yeah.Guillaume: So really it's not a new field at all, of course, but there are still so many things that can be done.Perfect. It'sswyx: nice. I should also mention for those who are newer to flow matching, I think the creator, this guy's name is Alex, he's done I think in Europe's maybe two Europes as ago. There was, there's a very good workshop. There's one hour on like this matching is I would recommend people look that up.That's the other thing, right?Efficiency and Model Strategyswyx: The efficiency wise, like I, I imagine like the reason is open weights the reason you pick 3.6 B backbone it you are 3.4 B you are, try to fit to some kinda hardware constraints. You kinda fits some kinda basic constraints. What are they?Guillaume: Not necessarily, I think something we care about in our model that they're efficient.So we have a [00:14:00] lot of separate model, for instance. So we have this that is very small, very efficient. We also have a small OCR model that is available. Good, highly efficient as well. And I think on a project maybe there, I think companies are going to take is to have a coverage general model that will do a bit of everything.But that is also going to be expensive. On here. What want say is if you care about this specific use case, if you can actually use this model, it just does that. It's extremely good at it. Survey, very efficient. That's why we can actually add. We do, but also OCR that are like really good at that.And that would be much more cost effective factors and the general model that will contain a lot of capabilities you don't really need. So yeah. So we're doing like general model, but also like more customized model. This,Open Weights and BenchmarksVibhu: how does it compare to other TTS models? It's, we are going follow open wave.We're just dropping it. I think it's pretty good.Pavan: Yeah, I think it's pretty good. Like it, it's definitely one of the best. For sure. It's probably I would say it's the best open source model, butVibhu: decipher themselves.swyx: Yeah.Voice Agents VisionVibhu: Why now? How does it fit into broader ral vision? How do you see voice agents?How do you see voice? I think every year I've heard, okay, you're a [00:15:00] voice. You're a voice. There's a lot of architectural stuff. There's a lot of end time that see it, your solving, but where do you see voice setting?Guillaume: We had so many customers asking for voice. That's also why we wanted to build it.What's interesting in this domain is that. In a sense, if you take something simple like transcription it doesn't seem like something that should be very hard to do for a model. It's essentially, it's pattern recognition. It's classification on this. Models are very good at classifying, right?Or nonetheless, when you talk to them it's not there yet, right? It's not, you don't talk to them the same way you talk to a person. On something, maybe people don't realize it. It's in English it's still much better than in any user language, even compared to French instance. If you talk to this million in French, when you see people talking to this they'll talk very slow.They'll articulate as much as they can. So it's not natural, right? We're not yet to this. And I think, yeah, maybe the next generation will not know this, but yeah, I think people that. But our edge will actually always keep this bias speaking very slowly when they talk to this model. Even if maybe, probably in a couple of years, maybe next year it'll not be necessary anymore.But yeah. But what's interesting is to see that yeah, even for like languages [00:16:00] like yeah, French and Spanish Germans that are not no, no resource on religion. You have a lot of audios there on still it's not as good. And I think a consequence. Because then for this, I suppose just is not as much energy, as much effort that has been put done in some other mod that for some vision or like coding.But but yeah, there's still a lot of progress to be done. I think it's just a question of doing the work and it's clear path I think to get there.Pavan: It's a little fascinating because I worked on Google Assistant I think while back at this point, but it's, I think it's, it like when you take a step back, it's fascinating.It's not that long ago. It was like four years ago or five years ago, and it's now it's completely audio in, audio out and the function calling and the whole thing happens completely end to end. And in a very natural,swyx: yeah,Pavan: natural way and still ways to go. Kim was telling, even despite all the previous, it's not like you're speaking to a person.When you talk to any of these agents, bots, or voice mode kind of situation, it's still like a gap. I think that's the great part and I feel like with even the existing [00:17:00] stack, we should be able to get to this very natural speech conversational abilities soon enough I guess.And we'll also hope. I get thatGuillaume: on this kind of the next step, right? Because when you talk to these agents, like usually people are just writing to them and sometimes they'll this very clear, for instance, you are, you want to write code, but you are, you have a very clear idea of how you want the model to implement what you in mind.But so here you are able to spend a lot of time writing. So it's not really efficient on audio is really like a natural interface that is just not there yet, but I think it's just gonna be the place.Vibhu: How's it like building, serving, inferencing, like we see a lot about, it's very easy to take LMS off the shelf, serve them.Fine tuning, deploying. I know you guys have a whole you have Ford, you have a whole stack of customizing, deploying. Is there a lag in getting that. Like distribution channel. Are you helping? There is. So like prompting, lms, you can have them be concise, verbose, all that.They're built on LM backbones, these models. How do you see all that?Enterprise Deployment and PrivacyGuillaume: Yeah, I think this is a lot of what we're doing with our own customers. Very [00:18:00] often they come to us, so it's for different reasons. I think one reason is sometimes they have this lot of privacy concerns.They have this data that it's very sensitive. They don't want data to leave. The companies, they wanted to stay. Inside the company. So we have them deploy model in-house. So either on a, either on premise or on private cloud. So they're not worried that it's given to a third party on the there some leakage.Sometimes they have this kind of many companies have this different, sensitivity of data they have like sometimes channel chat can send it to the cloud has to stay there. So then it creates some kind of heterogeneous workflows where it's annoying. You cannot send some data to the cloud.This one you can, so here, when we actually deploy the model for them, they don't have this consideration. They are like not worried that, this is going to leak. Everything is much easier. So we help them basically do this on the, so it's one of the very proposition. But but the other is very often, when customers use this off the shelf close model, but very sad is that they are not leveraging, these data that have been collecting for four years or something for decades.So much data. Sometimes it's trillions of tokens of [00:19:00] data in a very specific domain. Their domain, which is data that you'll not find in the public, on the public internet. So data on which, like close model, we actually not have access to one, which that's going to be really good. So if they're using like closed source models are basically not benefiting from all these insights.All these data they have collected three years, they can always give it into the context that in France, but is never as good as if you actually train the modern analysis. So yes, that's basically what we help them to do. We actually provide them some purchase, basically what we announced at GTC this week.So we provide them with this, it's basically like a platform with a lot of tools to actually help them process data. Trained on that. Yeah, it's actually the same thing that we're using in the science team. So it's actually very better tested infrastructure, like a lot of efficient training cut base.For a quality pre-training like a fine tuning, even doing S-F-T-I-L. So we help them do this using the same tools as what our science team is building is using. So since it's tools that we've been using for two years now, it's really better tested. It's really sophisticated.So it's the same thing. We are giving to them, giving the company the same thing [00:20:00] that what are same still using internally actually build their own ai and it makes a really big difference. I think sometimes customers. And many in general don't realize how much better the model becomes when you fine tune it on your own data.And you can have a, your model is here. You start from there. You have a cross source model, which is sort here, but if you actually fine tune it can actually really go much further than this. And then you have a very big advantage. The model is trained on your entire company knowledge, so it knows everything.You don't have to feed like 10 K tokens of contact at every query. So it's it's much easier. It's a bit, I think using a closed source model is really sad because it basically puts. You are not leveraging all this data and you are going to be using the same model as all your old competitors when you're actually using, everything you have been collected for years, which is really valuable.So yeah. So we help basically customers do this. We have a lot of solution I mean deployed for engineers that go in the company that basically look at the problem customers are facing to look at what they're struggling to do what we should do to solve it. So we help them solve them together.So it's I think our approach is a bit different, but here. [00:21:00] Some of their companies and competitors, it's, we don't just release an endpoint on sale, do some stuff on top of that, or we don't just give a checkpoint. We really look very closely with customers. We look at the issues they have, we had them solve them.We really make some tailored solution for the client are facing. Some example are also going to be, sometime we have some customers. They really wanted to have a really good model, really performance on some, like Asian languages on the, if you take some of the shelf models, they can speak it, they can write in this language, but it's not amazing.This language would be like maybe zero 1% of the mixture. So it has been included during training, but very little. So what we did here is upgrade. We trained a new model for them, but so this language was 50% of the mix, so it's much, much stronger. It knows of the dialects, it knows the, so it's yeah.So it's some example of things we can do and it's really arbitrary, custom. I think you had some of their customers, for instance, they wanted some. They wanted some 3D model that can do audio with a very good function cable. So something you wanted to put in the car in particular, they wanted this to be offline because in a car you don't necessarily have access to internet.So [00:22:00] yeah. So here we can actually build the solutions. There is no like model out of the box on this. In the internet you have this very, you have this very general model generalist, like he's strong model. But for things like this, they always want at specific solutions and on some other reasons.Sometimes they come to us is because, like they, they experiment with some closed source model. They get some prototype. They're happy with what they build. They, it works well. They're happy with the performance, and then they want to go to production and then they analyze. But it's extremely expensive.You cannot push this. It's so then they come back to us on this. They can help us build the same thing as this, but using something much cheaper on here. And here we can sometime be something 10 x cheaper by just functioning a model and it'll be better OnPrem on their old server and also much cheaper as well.So yeah,swyx: that's the drop pitch right there. Take all themoney.Vibhu: And outside of that you do, we do put open wave models so people can do this themselves. I feel like not enough people go outta their way.swyx: They're not going to, they're gonna ask them to do it as the expert. IGuillaume: think initially we didn't know, [00:23:00] we wanted completely short at the beginning of the company because, I think our study was not exactly the same as what it is today, but what we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge on the, and it was, yeah, on, we were seeing customers struggling with this, but it was even, that was three years ago and no, things are much more complicated because now you don't just have, text on SFT on a simple instruction following.You have reasoning like your agents, you have like tools. You have a multimodal audio, so it's much more complicated than before. And even back then it was hard for customers. So they really need, have some support and this is why actually providing like always some four D position as well. The processFine Tuning and Personalizationswyx: I'm curious is there also voice fine tuning that people do?Pavan: So in this forge we also have a say unified framework. And the hope is like the er speech to text that we released earlier this year. And even the ER chart that we released last year. And I think a big people, I think there's a big, rich ecosystem [00:24:00] of people fine tuning whisper, and people want the same thing with w so it's much stronger than Whisper.And yeah, the the platform offers that kind of fine tuning yeah, which could be any kind of fine tuning. Like for instance, even sometimes people want to support new languages to this, which are tail languages, which we hope to cover. Certain natively, but if there is a language where you data and you want to frank you, I think this is a good use case.Or the other use cases, you, it's the same language, like even English but it's in a very domain specific way.swyx: Yeah. Terminology, jargon, medical stuff.Pavan: Exactly. And also there's specific acoustic conditions like there's a lot of noise or the, and. The model will do decently in most conditions, but you can always make it better.And that those are some of the use cases where you can improve it e even further. And that's one good use case for this and for text to speech. We're just releasing it so we'll have support for that soon too. I think it's similar use case.Voice Personalization Pavan: It's little different the kind of things that you want to extend a [00:25:00] text to speech model to, which could be like voice personalization, voice adaptation for enterprises.Many enterprises need very specific kind of tone, very specific kind of like personality for this kind of voice. And all of those are like good use cases for fine tuning.swyx: This one I was gonna ask you, we never talked about cloning voice clothing here. How important is it, right?Like I can clone a famous person's voice. Okay. ButPavan: the main use case would be like for enterprise personalization, like enterprises need like a lot of customization. You don't want the same. Voice for all the enterprises. Each enterprise want a customized, specialized something which is representative both their brand and also their, I guess safety considerations and the use case I think the kind of thing that you would deploy as a empathetic assistant in the context of a healthcare domain would be very different from the kind of thing that would be in a customer support bot and would be different from like more conversational aspects.I think those are the. [00:26:00] Customizations you would expect from enterprise. And that's the main use case, at least from our side.Vibhu: My, my basic example is you don't want to call to customer services and have the same exact voice. It's just, it's gonna be weird.Long-Form Speech ModelsLong-Form Speech ModelsVibhu: But also on the technical side of this, so there's like a few things in TRO that I thought were pretty interesting.He's a big fan of this paper. Oh, he said very good paper. He said this is the best SR paper he's ever read. Yeah. I've hyped up this voice paper enough. We covered it. Somewhere, but a big thing. So Whisper is known for 32nd generation a 32nd processing. You extended this to 40 minutes. There was a lot of good detail in the paper about how this was done.Even little niches of how the padding is. So it's very much needed. You need to have that padding in there, the synthetic data generation around this. I'm wondering if you can share the same about the new speech to text, right? Text to speech. So how do you. How do you generate long form, coherent?How do you generate, how do you do that? And then any gems? Is there gonna be a paper?Pavan: Yeah. Yeah. They would be a technical report. Okay. Yeah. I think I could have a lot of details.Real-Time Encoder AdvancesPavan: But me I think the [00:27:00] summary of it, actually, some of the considerations in this paper were, because we started with the wipa encoder as the starting point, and now we have in-house encoders, like the bigger time model, for instance, which we released in January.Also release a technical report for that real time model as well, which is this dual stream architecture. It's an interesting architecture. You should check it out. And there we have a causal encoder and I don't think there's any strong, multilingual causal encoder out in the community. So we thought it's a good contribution.So that's one nice encoder there. Other people want to adapt. That's a good end code. And we train it from scratch. I think her. Post stack is now mature enough that we are able to train super strong ENC codes. And some of these considerations, like spatting and stuff, is a function of the Whisper ENC code.And now that we train encoders, inhouse the design concentrations are different.Scaling Context for TTSPavan: And for the question on text to speech, I think that's also leans onto the original auto aggressive decoder backbone. I think, it says very, almost identical considerations. I think the long context in it's not even long con, [00:28:00] so the model processes audio at 12.5 herds, so one second maps to like 12.5 tokens.So I think one minute is like 7.8 tokens. You can get like up to 10 minutes in eight K context window and get half an hour and 30 K context window. So that's and 30 2K context is something that's we are very comfortable training on. We can extend it even much longer. 1 48 K. Okay. You can naturally see how it can extend to even our long generations.Yeah. We need the. Like data recipe and the whole algorithm to work coherently enough through such long context. But the techniques are some way very similar to the text, long context modeling. And the key differences, it's just doing flow matching order regressively instead of a text open prediction.swyx: Okay. I think that was most, most of the sort of voice questions that we had. ButWhat Makes a Model SmallVibhu: I have a big question on Mr. Al, Mr. Small. So what is small? How do we define [00:29:00] small? What is this? What is this? I remember the days of Misal seven B on my laptop. The snuff fitting on my laptop. I could run it on the big laptop, butGuillaume: it's just additional.Question of terminology, like here what we did, baseball is north active parameters, but it's true. Really not give it another name, but yeah, we could have called it medium, but only, I,I suppose it's a model that we released mixture of experts. It's a model that combines different model before which we were doing the same, is that we had one model, general model for Israel. Doing instruction following, were like a separate model that was Devrel trial. So qu coding specify specific to code with another model for Reason Maal.So this were separate artifacts built by different team at trial on what we're doing is basically merging all of this. It was, you had pixel trial was the first vision model. We was like a separate model on the way we do things internally is that we have one team focus on one capability, build one model.On the means mature, mature enough, we decide to merge this into the [00:30:00] matrix. But here it was the first time we basically match all of this into one. But there are some other things we did at first time to merge time, for instance, like more capabilities or function coding I think would be, are, it's going to be much, much better in this trial, small platform.But but yeah, so it's our latest model on the working is,Vibhu: and yeah, key things is it's very sparse. Six, be active pretty efficient to serve. 2 56 K context. Yeah,Merging Capabilities vs Specialistsswyx: I think what's interesting is just this general theory of developing individual capabilities in different teams and then merging them.Where is this going gonna end up?Vibhu: Like we've seen the five things put together in this. Yeah. What are the next five teams?swyx: I think actually OpenAI has gone away from the original four Oh. Vision of the Omni model. This was what they were selling. All modalities and all modalities out.But I feel like you might do it.Guillaume: I think there's some mod where it's not competitive use, for instance for audio. For audio here, if you want to do transcription, I think it makes no sense to use a model. If you just want to trans tech it, it'll be very inefficient. If you want to do audio, you probably just want to be the [00:31:00] one VR 3D model performance essentiallyswyx: the same.It's going to be incredibly cheaper. So here, that's why we wantGuillaume: to have a separate but just does this. Yeah, I think the question is just, yeah. If you are to, to your model. By speech and you asking like a very complex questions on how you do this on the, just to cascade things. Do you want to put a d in a model that has like a one key around it?It's like a, not a competitive discussion, I think unaware if you doing into the direction, but that's possible. Of course. But yeah. But I think for us, the next capabilities we want to try to integrate into these models when we are going to be yes, like marketing or no reasoning better, I think more capabilities that people don't talk too much about, but at high bottom, I think for our customers in our, on different industries, for instance, things are around like a legal computer.I design all these things that is this males out of the box are to put at that. Because people, if you don't prioritize this, there is not like too benchmark on that. Butswyx: this done how toGuillaume: make this good and this just start to do the work. Extracting some that processing it [00:32:00] expression. So yeah.But we are offering the imagine to this.swyx: I think for voice. Yeah. The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right? Which people don't understand spatial audio because like most TTS is just oh, I'm speaking to a microphone in perfect studio quality.But when you have video, like the voice moves around.Pavan: That's true. The constitution was a little different in the sense that there it's like a a standalone artifact where you get the whole thing and you consume it. But in a conversational setting, it's a, you need the extreme low latency.swyx: Yeah,Pavan: streaming would be one of the primary concentrations.swyx: You can build a giant company just doing that, right? So you don't need to do the voice, but I was just know on the theme of merging modalities, that is something I, I am like, wow. Like I didn't, everyone up till, let's say mid last year was just doing these like pipelines of okay, we'll stitch a TTS model with a voice thing and a lip sync [00:33:00] thing and what have you.Nope. Just giant model. Yeah.Open Source MissionVibhu: I have a two part question. So one is, it's still open. It seems like open source is still very core to what you guys do and I just have to plug your paper. Jan 2024. This is the one trial of experts like. Very fundamental research on how to do good.Moes paper comes out very good paper for anyone. That's just side tangent. No.swyx: This thing caused, we bring back, eight by 22 was like the nuclear bomb for open source. I think it takes Shouldn be more seven B more. Yeah. Yeah. But this is a bigger opposite than me.Yeah. Yeah I don't remember this. I remember, I don't think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think. Yeah. The model was did as well.Vibhu: It's just a little update probably.swyx: Yeah. No, but you have a point to make.Vibhu: No, you gotta check that. But then, I just want to hear more broadly on open source for you guys, and when you had asked earlier [00:34:00] about what's next, what are the other, side tapes working on you. You put out Lean straw. This,swyx: it's not necessarily surprise. I was like, I don't, this doesn't fit my mental model or Misra.Guillaume: Yeah. First for open source in general, I think it's really something which looks to the January of the company. I think we started it per once, is we so we have open sourcing with, since the beginning and even before this. So before this, so me and Tim were at Meta, we released LA and I think what was really nice.To see that before this, for most researchers like universities, it was impossible to work on elements. There was no alien outside. And if you look at many of the techniques that were developed after, for instance, was open source all this post-training approaches like even DPOD, like preference optimization, all of this were done by people that had access to this portal.And it'll have been impossible to do without this. So it's really making sense, move faster. So we really want to contribute to this ecosystem. I think like the deep and also like very lot of impact. All these papers that are I think in the open source community are really helping the science community as a whole to move faster.So [00:35:00] we want contribute to this ecosystem. That's why we're releasing very detailed technical reports. So ma trial and our first reason model, and ation, lot of results, things that work, things that did not work as well. Think helpful on the, yeah, so for the audio model also to share a lot of details, share of them for real time model.And the, yeah, so we really want to continue this, basically belong to this community of people who share science. I think we really don't want to be, leading in a world where the smartest model, the best models are only behind, close doors. Only accessible to a shoe companies that we, as a power to decide we can use them on it.I think it's a scary future. We don't want to live in, we really want this model to be accessible to anyone that want. Intelligence to be used unaccessible by anyone who can use it. So yeah, so that's why we are pushing this mission and source model. Yeah. So not, so yeah, no strategy. So it's open source, not the first model, so not the best on the Yeah.Lean and Formal ProofsGuillaume: LIN trial I think is also one step into this direction. So it's yeah, a bit different than what we are usually releasing. But we have a small team internally [00:36:00] working on them. Formal proofing, formal math. So I think a subject we care about in general and we were working on reasoning. I think we started too early before doing reasoning without LMD is very hard, especially when you work with formal systems because the amount of data you have is negligible.It's addressable community of people writing like formal proofs. But the reason why we like it is because I think there is if you look at what people are doing with reasoning, is there, the problems that you can use. Are usually going to be problems where you can verify the output. So for instance, all this ai ME problem where the solution is a number between 100, like a thousand.So you can verify, compare this with a reference or it's an expression. You can actually compare the output expression generic with the reference. But there are many, most of them have problem and most of the reason problem. There is no like way to easily verify the solution. If the question is show that F is continuous, cannot compare in the reference, right?If it's a probe that this is true or probes is properties, there is no way to. You cannot act, simply verify the correctness of your proof. So it's hard to apply the, there is no referable reward here. So [00:37:00] what you could provide is of course, like a judge and judge that will look at your proof. But it's very hard and it's very, you could do certain, some reward hacking happening there.So it's difficult. You could provide like a reference proof, but then there are also many ways to prove the same thing. So if the model says give negative reward because it's a different poop, maybe it was still digit proof, just different. So it's not going to work well. What's nice with lean and with formal probing is that you don't have to worry about this whatsoever.We just,swyx: they're all function is largely compiles in lean is functionally the same. Exactly.Guillaume: It's like a problem if it compiles it's correct. It's very easy. And you can apply this and then you can,swyx: it's just way too small. So no human will actually go and do it.Guillaume: Yeah, that's exactly.It's the only people can do it. It's like a very small committee of people doing a PhD on that. So it's super small. And it's sad because it's actually very useful on not just mat, but also in software verification. So for instance, software verification today. So tiny market. Very few industries work on this and we need that.It's usually going to be like companies like building airplanes, air robotics,swyx: likeGuillaume: things [00:38:00] where they absolutely want to be sure. Life depend on this, but it's very rare that people formally verify the correctness of their software. But I think one of the reasons for this is simply that it's just hard to do.swyx: Are you think of TLA plus? It's the language that some people do for software verification? No. That people use in a ference, but but yeah, it's the reason I think why people don't use it more and why this industry is not as big as could be is because it's very hard. But now with cutting edges that are there, it's going to be very different.Guillaume: We're going to see much more of this. So I think yes, industry there is going to be much larger in the future that we, these models. So yeah. Here also anticipating this a little bit, we wanted to work on that because it's proving like a math theory and like a, essentially the same tools.swyx: Yeah.Reasoning Transfer and Agentsswyx: One of my theories is that because the proofs takes so long, it's actually just a proxy for long horizon reasoning and coherence and planning. Maybe a lot of people will say okay, it's for people who like math. It's for being okay. It's like a niche math language. Who cares? But actually, and you use this as part of your data mixture for [00:39:00] post-training and reasoning, actually, it might spike everywhere else.Yeah. And I think that's un under explored or no one's like really put out a definitive paper on how this generalizes.Guillaume: Yeah, absolutely. AndPavan: I think evenGuillaume: that's what we're seeing already. For instance, you should do some reasoning on math as then the American should do reason even.Yeah. In the early stage. So we, the, there is some transfer, some sort of emergence that happens. And I think some, it's also interesting, it's not just I think the topic in general, but it's, there is a lot of connection with this on including agents because. Sometimes the model can see like a three that it has to prove it's very complex, but then it can take the initiative to say, I'm going to prove this three lr.I'm going to suggest three Rs, and I'm going to in parallel prove each R. So three of them in parallel with sub agents, but I'm also going to prove them in theory and the three tool so you can do this also. Pretty interesting. You can, even if you fail to put one of the LeMar, you can actually, maybe you succeed to put the normal lema too, so you get some possible reward here.So it's a bit less Spartan issue, just get to zero one for the entire thing. [00:40:00] So it's pretty interesting. I think we can actually,Vibhu: yeah, it's also an interesting case just for specialized models in general, right? Like the cost thing you show is pretty interesting yeah, similar score wise, you are, thirty, seventy, a hundred fifty, three hundred bucks.Smaller.swyx: I think cost is a bit unfair, right? ‘cause this one is at like inference cost. It's always there on top with their margins on top of it. But, we don't know anything else, so we gotta figure it out.Vibhu: Okay.Next Frontiers in TrainingVibhu: I did wanna actually push on that more. Not on cost, but you mentioned about, okay, it's a great way to have verifiable long context reasoning.What are other frontiers that, I'm sure you guys are working on internally, there's a lot of push of people pushing back on pre-training. Scaling, RL pushing, compute towards having more than half of your training budget. All on rl. Where are you guys seeing the frontier of research in that?Guillaume: You mean theVibhu: just in foundation model training in the next, one thing that you guys do actually is you do fundamental research from the ground up, right? So you probably have a really good look at where you can [00:41:00] forecast this out.Guillaume: Yeah. I think for us we're still working a lot on the pre-training side.I think we are very far from situational, the pre-training. I think ML four preprinting will be like big step compared to everything we have done before. So we are pretty excited about this. And I think on the other side, I think now we have more and more to think about this algorithm that will actually support this very long trajectories.I think when it was, for instance, GRPO for it doesn't really work this any bit of policy. Which was okay initially because you are solving math problem that can be solved in like a few thousand tokens. So the model can alize them pretty quickly. So when you do your update, the model is never too far off.It's never too far off. But now when you are moving towards this kind of problems where certain takes hours, like six hours to get a reward, then your model is co pick places. So you have bi new infrastructure that supports this, but also new A, so now everything we're doing internally, we're trying to. Build some infra that we actually anticipate is what we have in six months, one now, which is this extremely no scenarios on the, I think when we started Missal, part of me and [00:42:00] we wanted to, is very nice under element where people are there, they can do research, they like with a lot of resources.So it was nice. I think things changed a lot when I think when J Pity came out. I think after that I think was. This one is same again. But but yeah, but it was nice. And I think we also want to work part of this descrip beforeswyx: coming to the end.Hiring and Team Footprintswyx: We're just, obviously, I think you guys are doing incredible work.You've, they are a very impressive vision for open source and for voice. What are you hiring for? What's the what are you looking for that you are trying to join the company?Guillaume: Yeah, so we are hiring a lot of people in our sense team. We're hiring, in all our offices. So we have a, our H two is in France in Paris.We have a small team in London. We like a team in Pato as well. Co we open some offices in in SAU, in Poland. So one in Zurich. We also like some presence in New York as well on Sooner one in San Francisco. So we all bit either way also like hiring remotely. So we're going the team trying to hire like very strong people.I think we want to stay, so the team is not. Instead of fairly small team. [00:43:00] But I think we want to keep it that way. ‘Cause we we find it quite efficient. So like a small team they agile so yeah.swyx: Okay.AI for Science Partnershipsswyx: Let's focus on science and the forward deployed. We actually are strong believers in science.We started the our new science pod that focuses specifically on the air for science. What areas do you think are the most promis.Guillaume: What we're pretty excited about right now, and something we have already started doing or that we'd probably be able to share more about this in a couple of months, is that we are exploring AI for science.And there are a lot of areas where we think that you could get some extremely promising buzz. If you were to apply AI in these domains. There are a lot of long inputs. You just have to find these domains where actually AI has not been yet applied, and it's usually hard to do because the people working in those domains don't necessarily know the capability of these models.They don't know. How I would just have to pair them with Yeah, exactly. Your researcher slashing, which is actually hard to do. But this matching, we're doing it naturally with our customers. So we have some company we are very closely with. So for instance, ISM Andreesen are one of our partners, so we're doing some research with them on their other, like tons of extremely interesting problems.Columns in physics, in [00:44:00] science matter science that they're essentially the only ones to work on. ‘cause they're doing something No, no one else is doing on the, yeah. So there are many domains where AI can actually revolutionize things. Just you have to think about it on you familiar with what can do or to apply it.So yeah, it's something where more modeling with our partners, with our customers sort AI for s, but.swyx: Yeah. Okay.Forward Deployed Skillsswyx: And then for deployed what it makes a good four deployed engineer, what do they need? Where do people fail?Guillaume: I think it's usually you need people that are very familiar with the tech and not necessarily with a lot of research expertise, but that are actually pretty good at using this model that can actually like that know how to do functioning, that know how to like, start some error pipeline.And it's it's not easy. It's something that mucus. Majority of companies will not be able to do this on their own. So here I think we need people that are, that like to solve problems that are accept solving some complex, very concrete problem. It's applied science basically.And yeah, so I think it's not too different. I think from the case you need in research because it's essentially you are trying to find solutions to problems that in [00:45:00] customers have not yet. So sometimes it's easy. Sometimes you're here to do the work. You have to like create synthetic data.Find some edge case. So it can be, yeah. Depends on the problem. But but yeah, you have to, I think it also a bit of patience on the be creative. I think very similar skill is Asian,Pavan: the diversity of the work they do. It always surprises me. It's it's, it goes all the way from the kind of stuff they encounter in industries.It's just very interesting. I think.swyx: Any fun like success anecdotes.Guillaume: Yeah, it can be actually training this small model on edge that just we do one specific thing can be like training some very large model without some specific languages as well. Making models really good at some tube use, like for instance, computer ID design, these kind of things.Is that pairing with vision as well? Yeah,Pavan: and the fact detection for chips or like in, in factories identifying things like it, the. Diversity could be anything where you can deploy these foundation models. So yeah the work to make it work in that specific setting, basically whatever it takes to make it like add value in that, by the way, workflow.Vibhu: Yeah. [00:46:00] And it goes across the stack, right? Like even just pulling up the website like.swyx: It's so broad on compute. It is so broad.Vibhu: We didn't even touch on if you have a coding CLI tool. One thing you guys were actually like, I think the first tool was agents, ral agents. You had the agent builder, you can serve it via API and all that.And I'm guessing forward deploy people.Guillaume: Yeah.Vibhu: Help build that out and stuff.Customer Feedback LoopGuillaume: It is also why we are, so we're doing many things, but I think that's also part of the value proposition that sometime know customers. They're always very. Extremely careful about their data and they don't want to, they don't like, trusting so many partners, trusting one partner for code, giving the data to another third party for like audios and another one.So they don't like this here. What they really like with our approach that we can help them on anything so they don't have to send the data to so many clouds. So yeah,swyx: I think that there can be many orders of magnitude more. F Ds then research scientists and they don't need your full experience, but they're still super variable to customersGuillaume: in practice.These two teams [00:47:00] are still quite intertwine, very often. Yeah. So first of all, they're using the same tools, the same data pipeline and everything on the, it's it's very helpful for the science team to get the feedback and the solution team ‘cause they can. Look at these customers are trying to do this.This is not working. It can really be show in the next version. Yeah. But this is basically a real world eval. Yeah, it's real world eval and it's not something, for instance, if you're just working in the lab, it's just ships model. But you don't do this work of for customers. You have no idea for whether your model is good at this H case.For instance, you even in year found this, right? So yeah, there is a very gap, big gap between the public benchmarks that are very like academic. OnPavan: the rare cases are just very diverse and in the specific concept of a customer, you can fine tune and make it like first evaluate, create a solid eval, benchmark, and then measure in the context of their, the kind of audio.Like for instance, one use case is literally just, there's the word for kids and they have to just say it out. It's a very specific thing. You're just saying one word and then you have to you, you'll grade the kid whether they did it right or not. It's [00:48:00] like R for, but so there're very diverse use cases and the idea is that they, the.Applied scientist engineer will go and make it better. And then from the learnings we incorporate it into the base model itself. So it's it's just better out of the box.Vibhu: Yeah. It's a good full circle system. Like the foundation model evals are all just proxies of what you really, you're never gonna have one that says it, it doesn't make sense for there to be, a one word transcription like that.It's not something you wanna fit on. Perfect.Wrap Up and Thanksswyx: Everyone should go check out everything that Michelle has to offer and try the TTS model, which will link in the show notes. But thank you so much for coming tha thanks. Such a stretch. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Ever wonder if vertical farming is more about mastering plant care than chasing the latest tech trend? I do—and in this episode, you'll find out why that's the reality.Join me as I sit down with Andrew Volpetti, Business Development Director for North America at Red Horticulture, whose deep background in horticulture, hydroponics, and business development has positioned him at the forefront of controlled environment agriculture innovation. With an impressive career spanning over 15 years—including leadership in lighting solutions and a passion for solving agricultural challenges—Andrew brings rich expertise and refreshing honesty to the booming vertical farming industry.This episode gets real about what's driving the next wave in vertical farming: prioritizing plant health and farm success over flashy tech. Together, Harry Duran and Andrew Volpetti unpack why the “hype bubble” around vertical farming technology has popped, and why that's a good thing for growers, investors, and anyone passionate about sustainable food systems. You'll get an insider look at how Red Horticulture's dynamic LED lighting is helping make farming smarter, not just more high-tech.Beyond tech talk, we explore personal journeys—from backyard gardening roots to global industry leadership—plus crucial topics like sustainability, the impact of legacy practices on soil and water, and the evolving rebate landscape for LED upgrades. Andrew Volpetti also shares candid stories of wins, challenges, and the importance of relationship-building in agri-business.Ready to discover the real future of vertical farming and how you can be part of a movement that's grounded in reality—not just hype? Click play and listen to the full episode now!Thanks to Our SponsorsCEA Summit East - https://indoor.ag/cea-summit-east-2025/Indoor AgCon - https://indoor.ag/Key Takeaways00:00 Indoor Ag Con Recap & Industry Reality00:06 Early Connections: Family, Food, and Farming00:13 Hydrofarm Career Journey & Sales Philosophy00:22 Transition to RED Horticulture & Dynamic Lighting00:29 LED Technology Advances & Client Success Stories00:36 Work Ethic, Motivation, and Future VisionsTweetable Quotes"I think a lot of the hype bubble, which did pop, and everyone using that trough of disillusionment graph ad nauseam, I think it was good to see. And I think everyone is appreciating it more.""Dynamic lighting was something that I was vaguely familiar with. I knew there were a lot of changes in LEDs, and the one thing I knew I didn't want to do is just be a box pusher. I wanted to believe in the product, I wanted to understand the product, and I wanted to find solutions for people growing crops that hadn't been presented to them. That's where I think the value lies.""I wanted to take Latin. I wound up taking 8 years of Latin. Now, I'm not going to say I was an A student. I wasn't a B student. I was like a C-. But you know what? Dogged determination. I think that pays. And I think it also helped me just realize, look, if you work hard, you put the time in, you learn, you really can achieve, you know, and I think my parents' work ethic, but you know, being told you can't do something is usually the greatest motivator for most people."Resources MentionedWebsite - https://www.horticulture.red/en/LinkedIn – linkedin.com/in/andrew-volpetti-mbaConnect With UsVFP LinkedIn - https://www.linkedin.com/company/verticalfarmingpodcastVFP Twitter - https://twitter.com/VerticalFarmPodVFP Instagram - https://www.instagram.com/direct/inbox/VFP Facebook - https://www.facebook.com/VerticalFarmPodSubscribe to our newsletters!AgTech Digest - https://agtechdigest.comThe Indoor Farmer - https://www.indoorverticalfarm.com/Horti-Gen Insights - https://www.hortigeninsights.com/

Are LED lights draining your mitochondria, disrupting your sleep, and disconnecting you from the deeper truth of who you are?Josh Trent welcomes Brian Richards to the Wellness + Wisdom Podcast, episode 806, to reveal why blue light and LEDs stress the body and keep people disconnected, how incandescent and full-spectrum red light restore mitochondrial function and emotional resilience, why light acts as food and the currency of the universe, and how reclaiming the right relationship with light may be one of the fastest ways to heal the body, clear trapped emotions, and remember your true nature.

Episode Highlights With KatieWhat photobiomodulation (PBM) is and how red/NIR light affects cellsCore mechanism in plain English: cytochrome-c oxidase, nitric oxide displacement, ATP boost, secondary ROS and Ca² signalingWavelengths and depth: red (630–660 nm) for skin/surface; NIR (810–850 nm) for deeper tissues; why 980 nm behaves more thermallyEvidence overview: where PBM helps most (pain, recovery, tissue healing, some skin outcomes) and where data is still emerging“Free” red/NIR from sunrise and sunset: why the spectrum shifts, circadian benefits, and practical outdoor habitsDevice fundamentals: wavelength, irradiance (mW/cm²), energy dose (J/cm²), distance, and session timeBest-practice protocols: example dosing for skin vs joints/muscle; frequency and cycling (start low, titrate)Safety and cautions: eyes, heat load, photosensitizing meds, pregnancy/active cancer care, implanted electronicsHome tips: avoid staring at LEDs, position perpendicular to target, measure/estimate dose rather than chasing wattageSleep support stack: morning outdoor light + evening low-intensity red environment (not bright blue at night)Skeptic's view: helpful when wavelength/dose are right; underwhelming if misused or sold as a cure-allMy routine: sunrise/sunset outside first; add targeted device sessions for DOMS, skin, or joint recovery and track results over 4–8 weeksResources MentionedBON CHARGEJOOVV red light Red Therapy red lights use code wellnessmama for a discountMito red lightHigher DoseBONCHARGEI like so many of their products - from their red light products to their sauna blankets. Red light has been so helpful for me during my recovery from Hashimoto's. To find out more, go to boncharge.com/wellnessmama and use code wellnessmama for 20% off!

Your skin is not just a cosmetic surface. It's a living organ that responds to signals, and the right light signal can flip your biology into repair mode. -Watch this episode on YouTube for the full video experience: https://www.youtube.com/@DaveAspreyBPR -Get a discount from LYMA by using code ‘DAVE10' at: https://lyma.life/ In this episode, Host Dave Asprey goes to London to meet Lucy Goff, founder of LYMA, at the LYMA headquarters. Lucy and her scientific team engineered a rare kind of at-home cold laser that delivers precise 808nm light with deep penetration, without burning, cutting, or “damaging to rebuild.” Their work is backed by published research in the Aesthetic Surgery Journal, and they've tested gene expression in human dermis, including a reported sixfold increase in SIRT1, a major longevity pathway. This is why you can trust this conversation. It's not vibes, it's engineering, biology, and data. Most “red light” products are basically glorified LEDs. They can be fine for the surface, but they do not deliver the kind of coherent, polarized, monochromatic light that your cells actually respond to in deep tissue. That matters because your mitochondria run the whole show. When mitochondria get a clean signal and more usable energy, your body suddenly has budget for repair, collagen, circulation, and recovery. That is the real mechanism behind anti-aging that does not rely on controlled injury. We get into how this kind of light hacking can change skin quality, muscle support under the skin, and even scars and fascia. We talk cartilage, knees, jowls, pigmentation, and the weird reality that you might not feel anything while it's working. Dave also shares his early biohacking experiments using light for brain optimization, including the time he overdid it and temporarily scrambled his speech. That story will make you respect the power of light as a biological tool. We also talk human performance and travel. Dave breaks down how he uses light management for sleep optimization and jet lag, and why controlling light is as important as controlling food, fasting, ketosis, and metabolism. There's also a practical angle here that most people miss: with AI, you can now take dense PubMed research and translate it into usable decisions without needing a PhD, which changes how fast you can learn, test, and personalize. If you care about longevity, neuroplasticity, recovery, and looking younger without trashing your tissue, this episode gives you a smarter way to think about lasers, supplements, nootropics, and the whole functional medicine stack. This is Smarter Not Harder biohacking, with a laser. You'll Learn: • Why LED “red light therapy” is not the same as laser-based mitochondrial activation • How coherent light influences mitochondria, collagen quality, and anti-aging repair • What gene expression changes like SIRT1 suggest about longevity signaling • How light may support brain optimization, circulation, and neuroplasticity • Why scars and fascia can disrupt performance, and how light can support remodeling • How Dave uses light and lifestyle hacking for sleep optimization, travel, and metabolism • How AI makes research-driven biohacking more accessible and more personal Thank you to our sponsors! • • • • Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights in health, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: cold laser therapy, 808nm laser, LYMA laser, infrared light therapy, red light vs laser, mitochondrial activation, SIRT1 gene expression, longevity biohacking, anti aging skin tech, collagen regeneration, fascia repair, scar healing laser, pigmentation removal light, brain optimization light therapy, neuroplasticity support, circulation enhancement, human performance recovery, functional medicine tools, Dave Asprey biohacking Resources: • LYMA Website (Use Code ‘DAVE10' For A Discount: https://lyma.life/ • Get My 2026 Biohacking Trends Report: https://daveasprey.com/2026-biohacking-trends-report/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15 • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: • 0:00 — LYMA Laser Origin • 1:20 — Dave's Early Light Experiments • 5:15 — Laser vs LED • 10:54 — Safety and Diffusion Lens • 16:37 — 808nm and the Brain • 19:36 — Intimate Performance Effects • 26:03 — Knee Before and After • 29:25 — Vampire Bat and Veins • 37:36 — 6x SIRT1 Activation • 42:42 — Mitochondrial Signaling • 45:04 — Veins and Pigmentation • 52:14 — Scar Recovery See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

*The air you breathe, the light you see, and the water you drink have all been quietly sabotaged by modern life—here's how to fight back without ripping your house apart.* Episode Summary In this episode, we shift from last week's hormesis deep-dive to the second weapon in your ancestral mismatch arsenal: your environment. You'll discover how degraded air quality, flickering LED lights, contaminated water, and invisible EMFs are silently wrecking your sleep, fogging your brain, and loading you with toxins—then get a practical, budget-friendly environmental audit you can start this weekend. Question of the Day

Dr. Glen Jeffery, PhD, is a professor of neuroscience at University College London and a leading expert on how different colors (wavelengths) of light impact cellular, organ and overall health. He explains that long-wavelength light (red, near-infrared and infrared) can enter the body and brain to enhance mitochondrial function and thereby improve metabolism, eyesight, blood glucose regulation, mood, hormones and more. We also discuss how short-wavelength light from LED bulbs can impair mitochondrial health and why balanced, full-spectrum light is essential for health. Dr. Jeffery shares simple yet powerful ways to use natural and artificial light sources to enhance your metabolic function, eyesight and longevity. Sponsors AG1: https://drinkag1.com/huberman Wealthfront*: https://wealthfront.com/huberman Joovv: https://joovv.com/huberman Rorra: https://rorra.com/huberman Function: https://functionhealth.com/huberman Timestamps 00:00 Glen Jeffery 03:12 Light, Ultraviolet (UV), Visible & Infrared (IR) Light 06:25 Light's Impact on the Body & Light, Sunburn, Cataracts 09:55 UV Light, All-Cause Mortality, Skin Cancer 14:55 Sponsors: Wealthfront & Joovv 17:58 Light Impacts Mitochondria Function & Structure, Long-Wavelength Light (Red/IR), Nano Water 25:00 Long-Wavelength Light Passes Through Clothing & Body; Tissue Scattering 30:08 Long-Wavelength Light & Blood Glucose; Mitochondria 36:19 Red Light, Parkinson's Disease, Cell Death; Eye Rods & Aging; Mitochondria Community 42:46 Red/IR Light, Skull & Brain; Safe Non-Ionizing Radiation 48:22 Sponsors: AG1 & Rorra 51:04 Offsetting Retinal Aging, Improve Vision & Long-Wavelength Light 59:28 Tool: Long-Wavelength Light & Preserve Retinal Mitochondria; Sunlight 1:03:50 Mitochondrial Theory of Aging, Circadian Rhythm & Mitochondria 1:07:57 Tool: Improve Vision with Long-Wavelength Light 1:10:44 Macular Degeneration, Rescuing Vision, Early Intervention 1:13:59 Light Effects at Local vs Distant Tissues, Immune System, Body Communication 1:19:09 Sponsor: Function 1:20:56 Short-Wavelength Light, LED Light, Mitochondria & Serious Health Detriments 1:28:39 Lifespan, LED Lights; Sunlight & Balanced Wavelengths; "Sunlike" Marketing 1:34:45 Fires, Incandescent Lights vs LED Lights, Lasers; Long-Wavelength Devices 1:39:07 Incandescent & Halogen Bulbs, Mitochondria & Built Environments 1:45:19 Windows, Light & Office Work; Screens, Kids & Myopia; Tools: Plants; Lighting 1:55:56 Bring the Outdoors Indoors 2:00:35 Tool: Candlelight; Dim Halogen Lamps 2:05:06 Mitochondrial Diseases, Children & Long-Wavelength Light; Light Bulbs 2:11:53 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter *This experience may not be representative of other Wealthfront clients, and there is no guarantee of future performance or success. Experiences will vary. The Cash Account, which is not a deposit account, is offered by Wealthfront Brokerage LLC, member FINRA/SIPC.  Wealthfront Brokerage is not a bank. The base APY is 3.50% on cash deposits as of November 07, 2025, is representative, subject to change, and requires no minimum. If eligible for the overall boosted rate of 4.15% offered in connection with this promo, your boosted rate is also subject to change if the base rate decreases during the 3 month promo period. Funds in the Cash Account are swept to program banks, where it earns the variable APY. New Cash Account deposits are subject to a 2-4 day holding period before becoming available for transfer. Investment advisory services are provided by Wealthfront Advisers LLC, an SEC-registered investment adviser. Securities investments: not bank deposits, bank-guaranteed or FDIC-insured, and may lose value. Learn more about your ad choices. Visit megaphone.fm/adchoices