Podcasts about adapters

On this rowdy episode, host Andrew Bedlam kicks the year off with a PUNK-AS-HELL breakdown of the biggest shows hitting the scene! We're talking the St. Valentine's Day Massacre Fest in Virginia and the chaos of the L.A. PUNK Invasion in California. East Coast punks, don't miss the scoop on the latest Philly gigs featuring 45 Adapters, plus the upcoming Noise and Strike First show that's about to blow the roof off Upper Darby! And if that's not enough, we've got the lowdown on the next Poor Man NJ banger, featuring our unruly comrades Piss Ant.

In this episode of the HVAC Know It All Podcast, host Gary McCreadie sits down with Jesse Stewart, National Training Manager at NAVAC HVAC to discuss the industry's transition to A2L refrigerants and the essential tools for safe and efficient handling. Jesse, a technical trainer with experience in HVAC tools and safety practices, shares insights into the challenges and opportunities of A2L refrigerants. He focuses on debunking myths and highlighting safety measures. Gary and Jesse discuss tool compliance, best practices, and the importance of training in preparing HVAC professionals for upcoming changes. Expect to Learn: What Are A2L Refrigerants?: Understand what A2L refrigerants are, why the industry is moving toward them, and clear up common misunderstandings. Tools That Get the Job Done: Learn about the tools that are compatible with A2L refrigerants, including vacuum pumps and recovery machines, and what makes them compliant. Staying Safe on the Job: Practical advice on reducing risks by using the right tools and following best practices for handling A2L refrigerants. Recovery Cylinder Basics: How to properly identify, label, and maintain recovery cylinders for safe use with A2L refrigerants. The Value of Good Information: Why it's essential to rely on trustworthy sources and stay up-to-date through proper training. Episode Highlights: [00:00] Welcoming Jesse Stewart and introduction to A2L refrigerants [01:42] Jesse's background and expertise in HVAC tools and safety [01:59] Understanding A2L refrigerants and addressing misconceptions [05:37] Key features of A2L-compliant tools [12:37] Guidelines for marking and maintaining recovery cylinders [14:24] Adapters and hoses for A2L compatibility [17:25] Industry changes and the importance of training This Episode is Kindly Sponsored by: Master: www.master.ca Cintas: www.cintas.com/hvacknowitall Supply House: www.supplyhouse.com Cool Air Products: www.coolairproducts.net Lambert Insurance Services: www.lambert-ins.com Follow the Guest Jesse Stewart on:  LinkedIn: www.linkedin.com/in/jesse-stewart%F0%9F%94%B8-180054205/  NAVAC HVAC: www.linkedin.com/company/navac-hvac/  Follow the Host: Instagram: ⁠www.instagram.com/hvacknowitall1/⁠ LinkedIn: www.linkedin.com/in/gary-mccreadie-38217a77/  Website: www.hvacknowitall.com  Facebook: www.facebook.com/HVAC-Know-It-All-2/

When you've been immersed in audio, video, and technology for as long as I have, you wind up with stacks of obsolete equipment. You also end up with boxes filled with cords, cables, dongles, and adapters. You don't even need to be a tech geek to end up with all these things. Anyone who's owned a few iPhones knows the struggle. Every few years, they change the connectors on their cords and cables, making everything you previously used obsolete. Many just throw away their old accessories. But if you're like me, you hold onto everything, just in case... Click Here To Subscribe Apple PodcastsSpotifyAmazon MusicGoogle PodcastsTuneIniHeartRadioPandoraDeezerBlubrryBullhornCastBoxCastrofyyd.deGaanaiVooxListen NotesmyTuner RadioOvercastOwlTailPlayer.fmPocketCastsPodbayPodbeanPodcast AddictPodcast IndexPodcast RepublicPodchaserPodfanPodtailRadio PublicRadio.comReason.fmRSSRadioVurblWe.foYandex jQuery(document).ready(function($) { 'use strict'; $('#podcast-subscribe-button-13292 .podcast-subscribe-button.modal-6781f6776835d').on("click", function() { $("#secondline-psb-subs-modal.modal-6781f6776835d.modal.secondline-modal-6781f6776835d").modal({ fadeDuration: 250, closeText: '', }); return false; }); });

Hyundai is making charging more convenient for its EV owners! Starting in Q1 2025, Hyundai will offer free NACS adapters to all EV Hyundai owners with CCS1, enabling access to over 20,000 Tesla Superchargers across the United States. Plus, the 2025 Hyundai IONIQ 5 will deliver with a native factory installed NACS port. Join me as I break down what this means for Hyundai EV drivers, the expanding charging network, and how this move enhances the Hyundai electric vehicle charging experience.Shoutout to our sponsors for more information find their links below:- Fort Collins Kia: Visit focokia.com for full details. Disclaimer: *Delivery covers up to $1,000.Find us on all of these places:YouTube: https://www.youtube.com/outofspecpodcastApple Podcasts: https://podcasts.apple.com/us/podcast/out-of-spec-podcast/id1576636119Spotify: https://open.spotify.com/show/0tKIQfKL9oaHc1DLOTWvbdAmazon: https://music.amazon.com/podcasts/473692b9-05b9-41f9-9b38-9f86fbdabee7/OUT-OF-SPEC-PODCASTFor further inquiries please email podcast@outofspecstudios.com Hosted on Acast. See acast.com/privacy for more information.

Tom Appel, publisher of Consumer Guide Automotive and host of the Car Stuff Podcast, joins Jon Hansen to discuss Jaguar’s new look and people purchasing cheap adapters for their electric vehicles.

You can text us here with any comments, questions, or thoughts!Our latest episode wraps up the Career Dynamics series by answering your insightful questions. Tune in to discover how to communicate your leadership style effectively and advocate for your needs in any professional setting. Whether you're a traveler, builder, adapter, or maintainer, this episode is packed with valuable insights to help you thrive in your career.  Listen now and join the conversation on how to lead your career with impact and intention.  MENTIONED: Episode 171: Adaptors - The execution GOATs (Career Dynamics Series Part 5) Episode 170: Maintainers- 5 Steps Ahead of the Chaos (Career Dynamics Series Part 4) Episode 169: Travelers (Career Dynamics Series Part 3) Episode 168: Builders Builders Builders (Career Dynamics Series Part 2) Episode 166: Introducing the Career Dynamics Series - A Deeper Dive Episode 143: 4 Career Dynamics: Builders, Travelers, Maintainers, Adapters   If you'd like to learn more foundational career navigation concepts for women of color in academic medicine and public health, sign up for our KD Coaching Foundations Series: www.kemidoll.com/foundations.   REMINDER: Your Unapologetic Career Podcast now releases episode every other week! Can't wait that long? Be sure you are signed up for our newsletter (above) where there are NEW issues every month! 

 Jill and Tom opened this week's show hitting briefly on a number of topics, including melting EV charging adapters, Jaguar's perplexing marketing reboot, the electric Dodge Charger Daytona, the high-mileage Ram 1500 HFE, and the consolidation of Infiniti and Nissan dealer stores. Still in the first segment, Jill recapped her time in the all-new Volkswagen ID. Buzz electric minivan. Jill found much to like, but noted that the van comes up short on estimated battery range, and that starting prices are high. In the second segment the hosts welcome Mark Gillies of Volkswagen to expand the ID. Buzz conversation. Mark shared a number of key details, including brand expectations that the van serve as a halo model, and not a high-volume offering. In the last segment Jill is subjected to Tom's “One Minute” quiz, in which she is challenged to answer questions in less than 60 seconds. 

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Was bedeutet es eigentlich, Domain-driven Design (DDD) umzusetzen? Diese Episode beginnt die Reise durch ein vollständiges Beispiel und zeigt , wie die verschiedenen Techniken wie Event Storming und strategisches Design zusammen wirken, um den Aufbau von Anwendungen zu unterstützen. Das zeigt, wie man mit einem einfachen, aber vollständigen Ansatz mit DDD beginnen können. In dieser Episode geht es um taktisches Design, CQRS, Event Sourcing und hexagonale Architektur. Links Training Domain-driven Design saniert Legacy Folien Taktisches Domain-driven Design (DDD) Taktisches Domain-Driven Design mit Java und jMolecules mit Oliver Drotbohm Folgen zu Architecture Management Events, Event Sourcing und CQRS Video zu Kafka als Datenbank-Monolith Christian Stettler: Domain Events vs. Event Sourcing - Weshalb Domain Events und Event Sourcing nicht vermischt werden sollten Vaughn Vernon about Ports and Adapters and DDD

Sun, 03 Nov 2024 22:00:00 GMT http://relay.fm/mpu/769 http://relay.fm/mpu/769 Alex Cox, Vision Pro Champion 769 David Sparks and Stephen Hackett This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. clean 5357 This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. This episode of Mac Power Users is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code MPU. Ecamm: Powerful live streaming platform for Mac. Get one month free. Guest Starring: Alex Cox Links and Show Notes: This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Alex Cox Makes Podcasts | Instagram | Linktree Neumann stage microphone KMS 105 Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Magic Room AVP App Alex's Current Sticky Note App Widgetsmith Spatial Station Flexibits | Fantastical — The calendar and tasks app you won't be able to live without. Bezel: Spatial Phone Mirroring on the App Store HomeUI - Smart Home on the App Store Piano: Flowing Tiles on the App Store Bombaroom on the App Store HomeUI - Smart Home on the App Store Orion AI Glasses: The Future of AR Glasses Technology | Meta Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Voicepen - Audio to blog post 'What If…? – An Immersive Story' Now Available on Apple Vision Pro | Marvel Blackbox for Vision on the App Store Job Simulator on the App Store

Sun, 03 Nov 2024 22:00:00 GMT http://relay.fm/mpu/769 http://relay.fm/mpu/769 David Sparks and Stephen Hackett This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. clean 5357 This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. This episode of Mac Power Users is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code MPU. Ecamm: Powerful live streaming platform for Mac. Get one month free. Guest Starring: Alex Cox Links and Show Notes: This week Vision Pro power user Alex Cox explains how it's going using the Apple Vision Pro to get work done. More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Alex Cox Makes Podcasts | Instagram | Linktree Neumann stage microphone KMS 105 Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Magic Room AVP App Alex's Current Sticky Note App Widgetsmith Spatial Station Flexibits | Fantastical — The calendar and tasks app you won't be able to live without. Bezel: Spatial Phone Mirroring on the App Store HomeUI - Smart Home on the App Store Piano: Flowing Tiles on the App Store Bombaroom on the App Store HomeUI - Smart Home on the App Store Orion AI Glasses: The Future of AR Glasses Technology | Meta Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Voicepen - Audio to blog post 'What If…? – An Immersive Story' Now Available on Apple Vision Pro | Marvel Blackbox for Vision on the App Store Job Simulator on the App Store

Want to split £100? If you move to Octopus Energy and use my referral code you can help keep the lights on for me AND get yourself a great welcome bonus. Click here: https://share.octopus.energy/free-puma-452 Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms: ➤ Apple: https://EVne.ws/apple ➤ YouTube Music: https://EVne.ws/youtubemusic ➤ Spotify: https://EVne.ws/spotify ➤ TuneIn: https://EVne.ws/tunein ➤ iHeart: https://EVne.ws/iheart FORD F-150 LIGHTNING PRODUCTION PAUSE AND STRATEGIC SHIFT https://binged.it/4fpSj0c NEW FORD ADAPTER FOR TESLA SUPERCHARGER ACCESS https://bit.ly/40rEmui EUROPEAN EV MARKET SEES GROWTH IN SEPTEMBER https://bit.ly/4frTSdW AMPERE'S ELECTRIC VEHICLE DEVELOPMENT PROGRESS https://bit.ly/3YwHMJB $1 BILLION INVESTMENT FOR VINFAST https://bit.ly/3UshdUH NEW HATCHBACK FROM GAC EV AION UNVEILED https://bit.ly/3YLxgQb ZOOX CO-FOUNDER QUESTIONS TESLA'S ROBOTAXI PLANS https://tcrn.ch/48wbkvu NEW EV BATTERY HEALTH GRADING SERVICE INTRODUCED https://bit.ly/3UwvS1l

You can text us here with any comments, questions, or thoughts!In this final installment of our captivating "4 Career Dynamics" series, Kemi explores the world of the ADAPTER.Adapters are the unsung heroes who execute their roles with unwavering quality and humanity, regardless of the circumstances. They are the quiet leaders who seed courage through action, inspiring those around them by simply getting the job done with grace and empathy.Join Kemi as she unravels the unique attributes of adapters, exploring their roles as the worker bee, scientist, and CEO within their dynamic. Discover how adapters implement daily micro-solutions with creativity, update practices based on new information, and work seamlessly with anyone. Yet, with their incredible skills comes the need for discernment and boundary-setting to prevent exploitation and ensure alignment with their values.This episode is a tribute to the ADAPTERS who teach and inspire through their actions, and a reminder of the interconnectedness of all career dynamics. Tune in to gain insights into how these quiet leaders make a significant impact in any organization.MENTIONED:Episode 170: Maintainers- 5 Steps Ahead of the Chaos (Career Dynamics Series Part 4) Episode 169: Travelers (Career Dynamics Series Part 3) Episode 168: Builders Builders Builders (Career Dynamics Series Part 2) Episode 166: Introducing the Career Dynamics Series - A Deeper Dive Episode 143: 4 Career Dynamics: Builders, Travelers, Maintainers, Adapters If you'd like to learn more foundational career navigation concepts for women of color in academic medicine and public health, sign up for our KD Coaching Foundations Series: www.kemidoll.com/foundations. REMINDER: Your Unapologetic Career Podcast now releases episode every other week!Can't wait that long? Be sure you are signed up for our newsletter (above) where there are NEW issues every month

Ford tells its EV owners to stop using its free Tesla Supercharger adapters, Meta is bringing back facial recognition with new safety features for Facebook and Instagram, and Alien: Romulus is coming to VHS. It's Tuesday, October 22nd and this is Engadget News. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Want to split £100? If you move to Octopus Energy and use my referral code you can help keep the lights on for me AND get yourself a great welcome bonus. Click here: https://share.octopus.energy/free-puma-452 Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms: ➤ Apple: https://EVne.ws/apple ➤ YouTube Music: https://EVne.ws/youtubemusic ➤ Spotify: https://EVne.ws/spotify ➤ TuneIn: https://EVne.ws/tunein ➤ iHeart: https://EVne.ws/iheart INVESTIGATION INTO TESLA'S SELF-DRIVING ACCIDENTS https://evne.ws/3YfuO2O TESLA'S FSD SYSTEM DELAYED IN CHINA https://evne.ws/48bmiq8 TESLA REACHES 60,000 SUPERCHARGER STATIONS WORLDWIDE https://evne.ws/48bHXOZ PORSCHE OFFERS FREE CHARGING FOR MACAN ELECTRIC BUYERS https://evne.ws/3Yag0Cz ATTRACTIVE LEASE DEAL FOR BYD DOLPHIN ELECTRIC CAR https://evne.ws/3zVDBPA NEW ZERO PERCENT FINANCING FOR FORD MUSTANG MACH-E https://evne.ws/3A5GAEX NEVO ELECTRIC VEHICLE SHOW SET FOR NOVEMBER 10TH https://evne.ws/3zVDEee FORD ISSUES IDDEDIATE RECALL OF SUPERCHARGER ADAPTERS https://evne.ws/3AgzNIB AFFORDABLE BYD SEAL 06 GT HATCHBACK LAUNCHED https://evne.ws/3YeetLJ HYDROGEN CARS STRUGGLE IN U.S. MARKET https://evne.ws/4h7IYMf

Vue.js can be used in many different ways - with a meta framework, as a plain SPA, via the script tag and also with Inertia! Created in the Laravel ecosystem with adapters for various back- end front-end frameworks, Alex and Michael got a special guest on the episode who couldn't fit better to illustrate what Inertia is capable of.Joe Tannenbaum, Software Engineer at Laravel and Inertia contributor goes all in-depth on the capabilities of the library, as well as sweet features and changes coming up for the future Inertia v2 release.Looking for an easy way to write applications? After this episode, you might have found it.Enjoy the episode!Our GuestJoe TannenbaumWebsiteTwitterChapters(00:00) - Welcome to DejaVue (00:56) - What is Laravel and when did you got into it? (05:40) - Does Laravel has starter kits? (07:41) - Laravel Cloud, funding and growth (13:22) - What are TUIs? (16:37) - What is Inertia? (22:15) - How would Authentication work with Inertia? (24:01) - Adapters for Phoenix and Rails (25:08) - Feature in Inertia version 2 (32:53) - Breaking changes for v2 (33:56) - Composition API or Options API? (37:27) - What part is the routing layer? (38:48) - Further Inertia Helpers (41:14) - Inertia's SSR story (45:17) - Data fetching (46:48) - When not to Inertia? (47:45) - How much do you think about Inertia when coding? (50:09) - Too many amazing things to use (52:20) - Wasn't Inertia "done"? (54:23) - Wrapping up Links and ResourcesGet 15% OFF for your Vue Toronto ticket with code DEJAVUE *Jess Archer - "Unveiling Laravel Prompts"Joe Tannenbaum - "Terminal UIs" Inertia.jsLaravelLivewireYour HostsAlexander LichterTwitterYouTubeWebsiteMichael ThiessenTwitterYouTubeWebsite---Links marked with * are affiliate links. We get a small commission when you register for the service through our link. This helps us to keep the podcast running. We only include affiliate links for services mentioned in the episode or that we use ourselves.

Wed, 09 Oct 2024 22:00:00 GMT http://relay.fm/connected/522 http://relay.fm/connected/522 I Consume All of My Dark Secrets 522 Myke Hurley, Jason Snell, and Federico Viticci Federico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. Federico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. clean 5318 Subtitle: Jason Snell AlertFederico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. This episode of Connected is sponsored by: NetSuite: The leading integrated cloud business software suite. Ecamm: Powerful live streaming platform for Mac. Get one month free. Celtreos: The shoot-em-up game with tiny ships, big weapons, waves of foes, power-ups and obstacles. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Ticci Tabs ReadKit Threads knows it has an engagement bait problem - The Verge Pixel Thermometer rolling out body temperature support in Europe – 9to5Google Apple Potentially Facing Worst Leak Since iPhone 4 Was Left in a Bar - MacRumors M4 MacBook Pro offered for sale on Russian site; likely real – 9to5mac Upgrade #532: I Am Foreign Exchange Headwinds - Relay FM iPhone 4 - Wikipedia This Is Apple's Next iPhone – Gizmodo Steve Jobs: "What have you done that's so great?" - MacStories Steve Jobs tells the media to switch off their wifi mifi for his demo - YouTube Apple wins a patent for a removable keyboard with trackpad-like functionality built-into the keys + higher resistance to unwanted materials - Patently Apple Mokibo Fusion Keyboard @viticci • Decided to get the @verge Nomad band for my Apple Watch Ultra to match the iPhone 16 Plus • Threads Sport Band - 46mm/49mm | The Verge | NOMAD® NightWatch: An Apple Watch stand, if you want it – Six Colors Apple Vision Pro Series Head Strap - Spigen A Cozy WWDC — Todd Heberlein Juno for YouTube has been removed from the App Store Apple Vision Pro Series Head Strap - Spigen Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Air Cover 2.0 para Apple Vision Pro – Open System – Infinity One 3D Last week i

Wed, 09 Oct 2024 22:00:00 GMT http://relay.fm/connected/522 http://relay.fm/connected/522 Myke Hurley, Jason Snell, and Federico Viticci Federico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. Federico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. clean 5318 Subtitle: Jason Snell AlertFederico and Myke are joined by Jason Snell to discuss Apple hardware in unexpected places, their dream peripherals, and how they are (or not) using their Vision Pros. This episode of Connected is sponsored by: NetSuite: The leading integrated cloud business software suite. Ecamm: Powerful live streaming platform for Mac. Get one month free. Celtreos: The shoot-em-up game with tiny ships, big weapons, waves of foes, power-ups and obstacles. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Ticci Tabs ReadKit Threads knows it has an engagement bait problem - The Verge Pixel Thermometer rolling out body temperature support in Europe – 9to5Google Apple Potentially Facing Worst Leak Since iPhone 4 Was Left in a Bar - MacRumors M4 MacBook Pro offered for sale on Russian site; likely real – 9to5mac Upgrade #532: I Am Foreign Exchange Headwinds - Relay FM iPhone 4 - Wikipedia This Is Apple's Next iPhone – Gizmodo Steve Jobs: "What have you done that's so great?" - MacStories Steve Jobs tells the media to switch off their wifi mifi for his demo - YouTube Apple wins a patent for a removable keyboard with trackpad-like functionality built-into the keys + higher resistance to unwanted materials - Patently Apple Mokibo Fusion Keyboard @viticci • Decided to get the @verge Nomad band for my Apple Watch Ultra to match the iPhone 16 Plus • Threads Sport Band - 46mm/49mm | The Verge | NOMAD® NightWatch: An Apple Watch stand, if you want it – Six Colors Apple Vision Pro Series Head Strap - Spigen A Cozy WWDC — Todd Heberlein Juno for YouTube has been removed from the App Store Apple Vision Pro Series Head Strap - Spigen Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy Air Cover 2.0 para Apple Vision Pro – Open System – Infinity One 3D L

This is Eric Stark with The Smart RVer Podcast, Delivering the Smarts you need to enjoy the freedom of the RV Lifestyle without the fear of breaking down! Enjoying the RV Life: Alexis and Eric discuss recovering after an RV accident. Usually, everyone who owns an RV and has taken it out for any time has run into an issue on the road or even a full-blown accident. We talk about it because this should never scare you from continuing the RV life you love.  Staying On The Road: Eric talks about electrical cords and why they can burn up or melt causing safety issues. This is important because it involves your camper's safety and your life. There's nothing more important than ensuring you have a safe electrical system in your RV with quality chords and plug-ins. The Next Stop: Eric talks about Whitehall and a sweet older man who told Eric all about the history of his unique town and all the colorful people who lived there and made the town into the landmark it is today.  RV Envy: Eric gives a little information about changing RV Lifestyle and how it will be more about saving money as an RVer. Winterizing Episodes: Time To Winterize Your RV Our Online Resources: The Smart Rver YouTube Channel - Check Out Our No-Nonsense YouTube Videos Sunpro Mfg - RV Sunshade, Windshield Covers & Slide Out Awning Fabrics Hot Boat Ropes - Marine Cordage- Anchor Lines, Dock Lines, Tow Lines, etc.Top Rated Podcast - The Smart RVer Podcast Website

On today's episode of Quick Charge, Michelle Lewis sets the record straight on the fire at the Normal, Illinois Rivian factory, Tesla is churning out adapters, and you can score a sweet deal on a new Acura ZDX electric crossover. We also cover the groundbreaking new electric medium duty commercial truck from Isuzu, and ask ourselves why there aren't more electric vehicle manufacturers offering as much flexibility in terms of battery size. All this and more – check it out! Source Links No, the Rivian factory didn't catch on fire – this is what happened Tesla ramps up NACS adapter production to 8,000/week amid slow Supercharger opening Ioniq 5 & EV6 spotted with native NACS port, Hyundai confirms 2024 release Acura slashes nearly $30K off 2024 ZDX models, undercutting Tesla's Model Y by a mile Find deals on a new Acura ZDX in your area It begins: Isuzu NRR EV electric medium duty truck is in production 4 of the most Googled questions about heat pumps, answered Prefer listening to your podcasts? Audio-only versions of Quick Charge are now available on Apple Podcasts, Spotify, TuneIn, and our RSS feed for Overcast and other podcast players. New episodes of Quick Charge are recorded Monday through Thursday (and sometimes Sunday). We'll be posting bonus audio content there as well, so be sure to follow and subscribe so you don't miss a minute of Electrek's high-voltage daily news! Got news? Let us know!Drop us a line at tips@electrek.co. You can also rate us on Apple Podcasts and Spotify, or recommend us in Overcast to help more people discover the show!

On this week's show  we discuss a couple of solutions to Chuck's Ethernet problem including a  revisit of Powerline Ethernet Adapters. We also read your emails and take a look at the week's news. News: Venu Sports Faces Very Real Prospect of Preliminary Injunction NHL's Florida Panthers Sign ViewLift to Take Them DTC More FAST Viewers Are Dropping Subscription Streaming Services Other: The Ultimate CEDIA 2024 VIP Experience Giveaway! FAQnatics YouTube Nexuslink Gigabit Powerline Adapter A few weeks ago one of our listeners asked us for help trying to run Ethernet data over an HDMI cable. Today, in our email segment, we discussed a novel approach to his problem by just using the HDMI cable as an Ethernet cable by simply removing the connectors and using the existing wires. There is another approach, one that we have discussed many many years ago, using Powerline Adapters. Back in the day, we were happy getting one or two Mbps via these cables and for what we were doing back then it was good enough. However, streaming companies increased their data rates to improve quality and suddenly this approach was dead. If it weren't for listening to a podcast recently I would have never thought to consider this approach. The podcast made the claim that Powerline adapters have gotten much better. To the point where they can reach gigabit speeds. Very skeptical, I went on Amazon and bought the cheapest adapters I could find, the Nexuslinlk G.HN 1200 Wave 1 Powerline Adapter Kit (GPL-1200-KIT) for $40. Features: Includes everything you need in order to turn your electrical outlets into an ultra fast network. Expand your internet anywhere in the home with up to 16 devices in one network. Enhance your network performance for streaming and gaming. Reduces Lag and dropped frames using LDPC/FEC (Forward Error Correction) technology. Designed for high density environments (eg. Apartments, business offices, condos, hotels, etc.) using NDIM Signal Segregation Technology. Delivers better real world performance with unique G.hn algorithms that improve upon older powerline standards. Technology like MIMO Dual Phase Technology delivers a faster and more reliable connection and LDPC to reliably cross phases Installing Ethernet Cable can be expensive and troublesome. Get a strong, direct internet connection without the trouble. Setup: Plug one device into a wall socket and connect the provided Ethernet into your router. It is important that the device is plugged directly into the wall. We tested with extension cables and socket expanders and found they degrade the speed. We also found that wiring into a switch slows the signal down a bit. But to be honest we don't know if that was because we plugged into a switch or that particular wall socket was noisier than the rest.  The second adapter can be plugged in anywhere you need a network connection. In our test we chose a socket on the kitchen island and then wired into a laptop. The entire process took about ten minutes. Performance: To measure performance we ran a speed test. We did multiple tests.The fastest time were: Ping 16ms Down 64.13Mbs Up 51.34 Typical speeds were off by three or four Mbps both up and down. For comparison. Using wifi at that location saw: Ping 116ms Down 272.56Mbs Up 109.23 Which is significantly faster!  So is it worth it?  The speeds we got in our test were nowhere near what was advertised in the product literature. Your results may vary so keep that in mind. However, if you have a spot where your wifi can't reach and you don't want to run Ethernet cables, this solution is recommended without hesitation. At 40 dollars getting 60Mbps to your entertainment system will more than allow you to stream 4K!

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Diffusion models have demonstrated remarkable and robust abilities in both image and video generation. To achieve greater control over generated results, researchers introduce additional architectures, such as ControlNet, Adapters and ReferenceNet, to integrate conditioning controls. However, current controllable generation methods often require substantial additional computational resources, especially for video generation, and face challenges in training or exhibit weak control. In this paper, we propose ControlNeXt: a powerful and efficient method for controllable image and video generation. We first design a more straightforward and efficient architecture, replacing heavy additional branches with minimal additional cost compared to the base model. Such a concise structure also allows our method to seamlessly integrate with other LoRA weights, enabling style alteration without the need for additional training. As for training, we reduce up to 90% of learnable parameters compared to the alternatives. Furthermore, we propose another method called Cross Normalization (CN) as a replacement for Zero-Convolution' to achieve fast and stable training convergence. We have conducted various experiments with different base models across images and videos, demonstrating the robustness of our method. 2024: Bohao Peng, Jian Wang, Yuechen Zhang, Wenbo Li, Mingchang Yang, Jiaya Jia https://arxiv.org/pdf/2408.06070

AP correspondent Jackie Quinn reports on a recall surrounding the power cord for sound machines, made for babies, by Hatch.

Mon, 01 Jul 2024 20:15:00 GMT http://relay.fm/upgrade/519 http://relay.fm/upgrade/519 The Intelligent Trinity 519 Jason Snell and Myke Hurley After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. clean 5485 After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. This episode of Upgrade is sponsored by: ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Factor: Healthy, fully-prepared food delivered to your door. Links and Show Notes: Get Upgrade+. More content, no ads. Submit Feedback American Flag Air Dancers® Inflatable Tube Man – LookOurWay Apple's Vision platform needs to do more than get cheaper – Six Colors Apple Vision Pro arrives in China mainland, Hong Kong, Japan, and Singapore - Apple Vision Pro pre-orders open today in five more countries - 9to5Mac Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy EU Commission Press Release EU says Apple anti-steering rules in breach of DMA, officially investigating Core Technology Fee terms - 9to5Mac Withholding Apple Intelligence from EU a 'stunning declaration' – 9to5mac Fortnite and Epic Games Store Submitted to Apple for iOS Launch in EU - MacRumors Apple's Longer-Lasting Devices, iOS 19 and Apple Intelligence on the Vision Pro - Bloomberg Gurman: Apple Intelligence Coming to Vision Pro, but Not HomePod - MacRumors Apple could announce a Google Gemini deal this fall - The Verge Apple Spurned Idea of iPhone AI Partnership With Meta Months Ago - Bloomberg Apple Likely Planning to Use Bigger, Lower Resolution Displays for Cheaper Vision Headset - MacRumors Kuo: New AirPods to Feature Cameras for Enhanced

Mon, 01 Jul 2024 20:15:00 GMT http://relay.fm/upgrade/519 http://relay.fm/upgrade/519 Jason Snell and Myke Hurley After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. clean 5485 After some feedback about the future of the Vision Pro, we discuss Apple's adventures in the EU, the inevitable fragmentation of Siri, and a curious new AirPods rumor. This episode of Upgrade is sponsored by: ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Factor: Healthy, fully-prepared food delivered to your door. Links and Show Notes: Get Upgrade+. More content, no ads. Submit Feedback American Flag Air Dancers® Inflatable Tube Man – LookOurWay Apple's Vision platform needs to do more than get cheaper – Six Colors Apple Vision Pro arrives in China mainland, Hong Kong, Japan, and Singapore - Apple Vision Pro pre-orders open today in five more countries - 9to5Mac Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy EU Commission Press Release EU says Apple anti-steering rules in breach of DMA, officially investigating Core Technology Fee terms - 9to5Mac Withholding Apple Intelligence from EU a 'stunning declaration' – 9to5mac Fortnite and Epic Games Store Submitted to Apple for iOS Launch in EU - MacRumors Apple's Longer-Lasting Devices, iOS 19 and Apple Intelligence on the Vision Pro - Bloomberg Gurman: Apple Intelligence Coming to Vision Pro, but Not HomePod - MacRumors Apple could announce a Google Gemini deal this fall - The Verge Apple Spurned Idea of iPhone AI Partnership With Meta Months Ago - Bloomberg Apple Likely Planning to Use Bigger, Lower Resolution Displays for Cheaper Vision Headset - MacRumors Kuo: New AirPods to Feature Cameras for

Episode 399: Join Francie as she goes over her top tips to help have the best EV road trip! Definitely let us know in the comments what your #1 EV road trip would be. [ CHAPTERS ] 0:00 Introduction About EV Road Trips02:47 Know Your EV04:53 Download & Use The Apps!07:23 Have Your EV Charging Supplies - Chargers, Adapters, Etc. 08:41 Follow EV Charging Etiquette10:23 Have An EV Charging Strategy11:30 Know Your EV Chargers12:30 You Will Spend More Time At Chargers13:09 Get Out Of Your Dang Car13:33 Booking EV Friendly Lodging14:53 Things Francie Thinks You Should Have Around17:07 Your Attitude Is Everything17:33 Wrapping It UpLinks used to support today's show: - https://www.transportation.gov/rural/ev/toolkit/ev-basics/charging-speeds- https://www.kbb.com/car-advice/plugging-in-an-ev/- https://www.plugshare.com/- https://abetterrouteplanner.com/Shoutout to our sponsors for more information find their links below:- Fort Collins Kia: Visit focokia.com for full details. Disclaimer: *Delivery covers up to $1,000.Find us on all of these places:YouTube: https://www.youtube.com/outofspecpodcastApple Podcasts: https://podcasts.apple.com/us/podcast/out-of-spec-podcast/id1576636119Spotify: https://open.spotify.com/show/0tKIQfKL9oaHc1DLOTWvbdAmazon: https://music.amazon.com/podcasts/473692b9-05b9-41f9-9b38-9f86fbdabee7/OUT-OF-SPEC-PODCASTFor further inquiries please email podcast@outofspecstudios.com#electricvehicle #roadtrips #evcharging Hosted on Acast. See acast.com/privacy for more information.

Adam describes using Hexagonal Architecture, also known as Ports and Adapters, for software delivery excellence.Want more?

Podcast #697 has the hits from Motorists, Brent Seavers, 45 Adapters, Smart Pills, Quincy, Pedro The Lion, The Goalie's Anxiety at the Penalty Kick, & Mojo Nixon & Skid Roper.

Devra Davis is the widely resepected research scientist who has been been calling attention to the dangers of EMF's for decades. As the founder of The Environmental Health Trust, she has sued the FCC for failing to update its safety standards since 1996. Her book "Disconnect: The Truth About Cell Phone Radiation" was published in 2010, barely three years after the launch of the first smartphone and it remains one of the most important books on the subject.  Now, Devra has updated Disconnect with over 100 pages of new updated information, based on new and updated research.  In this conversation, we talk about the book and what we can all do to best protect our families from the very threat represented by electromagnetic fields--the information carrying radio waves that power our digital devices. Here's the book:  https://www.amazon.com/Disconnect-scientists-solutions-safer-technology/dp/0988359189 Website:  https://ehtrust.org/ The continually updated EMF Guide from Tech Wellness:  https://techwellness.com/blogs/expertise/emf-meaning-expert-guide-what-is-effects-on-body EMF Protection Solutions from Tech Wellness:  https://techwellness.com/collections/best-emf-protection Here is the transcript of our conversation.  Be Well!     TWT24-DEVRA POD TRANSCRIPT AUGUST: [00:00:00] Hey there, welcome to Thriving with Technology, the science led podcast that's here to help you achieve mindful living in a digital world. And I'm your host. I'm August Brice from TechWellness. com. This show is designed to give you a practical approach on how to navigate the important tech toxins in our world. We have real life stories, experiences, and non fear based facts about cybersecurity and EMFs, your online privacy, [00:00:30] internet overuse. What leads to addiction, blue light on so much more. So thank you. Thanks for joining us and enjoy the show. We're happy you're joining us for a very special edition of thriving with technology today. August sits down with Dr. Debra Davis, one of the first and most respected educators and [00:01:00] researchers in the EMF space. And you could say in public health in general for our generation. In fact, if you can remember the days when smoking was allowed on airplanes, you have Dr. Davis to thank that that is just a very distant memory. Dr. Davis has authored more than 200 peer reviewed publications and written several important books on cancer, environmental pollution, and her newest, which is an update of a title first published in 2010, Disconnect, a scientist's solutions for safer [00:01:30] technology. Dr. Davis is the founder of the Environmental Health Trust, one of the leading forces in EMF research, education, and advocacy, working to reform the laws that govern our exposure to EMF. There's a lot of wisdom in this episode. You won't want to miss a minute. Here's August. Okay. Deborah Davis. Hello. Hello, August. What an honor. I cannot thank you enough for being with me today. I am so excited to [00:02:00] share the new book. I'm excited to talk about everything that's happened since the original Disconnect was published. And of course, everyone knows I'm a huge fan of the Environmental Health Trust. If you subscribe to my newsletter or if you're on my Instagram channel or Facebook, you know that I'm consistently. sharing links to the Environmental Health Trust because of the amazing work that they are doing. And they are led by Debra Davis. Thank you so much, [00:02:30] August. I really appreciate all that you're doing. Thank you. Well, we've both been in this space for so long. I first discovered that I was sensitive to EMF in about 1992. And I know that your first book was published in 2010, but I was following your work before then you were publishing, you were doing research. You've led so much important research. And you know, Debra, I see myself as the [00:03:00] reporter and the communicator, and I see you as the educator and the scientist and together getting this information out. Is wildly important and even more important today. I fully agree with you and I want to tell you, uh, I haven't been doing this alone. Uh, we've had an executive director, Theodora Scorato, and we're now bringing in, uh, three new people and reorganizing the Environmental Health Trust. Oh! I'm going to be stepping out as president, and [00:03:30] in my place will be Kent Chamberlain, who is professor and chairman emeritus of the Department of Electrical Engineering and Computer Sciences at the University of New Hampshire. And we will have a vice president for and general counsel, Joe Sandry, who is rather experienced with, um, Going toe to toe with the FCC and winning, as he helped us win our lawsuit that we can talk about in just a moment. Yes. And we'll have a new vice president for science and clinical affairs, who is a [00:04:00] diagnostic radiologist with three decades of experience as a senior radiologist and member of the American College of Radiology, Rob Brown. And we will of course have Theodora Scorato, who has been absolutely critical to what I've been doing over the past decade. She will become vice president for policy outreach and education. Uh, and we're going to have a great new expanded team, but I want to say it takes a [00:04:30] village. And August, you've been a really critical part of that village for us. Oh, thank you, Debra. Thank you. It's always my honor to tell people about the Environmental Health Trust and especially your work. And you know, we've had Theodora on the podcast before, but this is such a big deal because of the book and congratulations on the expansion. Of environmental health trust. I know all the people that you're talking about and to have someone who was really central in the industry now on your team.[00:05:00]  I can't wait to see what happens next. It can only be bigger, better, amazing. And so important for. Really the entire world. Thank you for doing this. Well, it's mutual August. It really is. Okay. So, you know, Debra, I have to tell everyone, and I explained this a little bit in the interview, but every time I get on a plane, I do think about you. And I think, wow, if Debra, Hadn't done what Debra does, I might be [00:05:30] sitting next to someone and not just worrying about the secondhand Wi Fi radiation, but also worrying about the secondhand smoke. Can you tell us a little bit about why that change, why there's no smoke in airplanes? Well, in 1983, I was a young executive director of the Board on Environmental Studies and Toxicology at the U. S. National Academy of Sciences. It's a And, uh, Senator Hayakawa from Hawaii wondered why he kept getting colds whenever he flew on [00:06:00] airplanes. Long flights. Many of your listeners may be shocked to know that smoking was allowed on airplanes. And he wondered about what that meant for his breathing. We, at the National Academy of Sciences, um, I organized a team, put together the first study that actually concluded that smoking was not a good idea for the plane. Thank you for listening. because it gummed up the electronics, by the way. And by the way, it also affected the respiratory [00:06:30] tract of flight attendants and anyone else. What I did personally, and I tell this in my, uh, second book, which was called the secret history of the war on cancer. I took a small machine that looked frankly, like a bomb onto the, onto a long transatlantic flight. And I went, in the smoking section and the non smoking section throughout the flight. By the end of the flight, I had a little congestion, as I have right now, [00:07:00] because I was able to show that by the end of the flight, even though there was a smoking section and a non smoking section, that the quality of the air in both sections was identical, that the level of ultra fine particulates, smaller, 50 times smaller than a human hair in the air was uniform, and that there was effectively no non smoking section. And this study then was replicated by the National Academy of Sciences, [00:07:30] and it took us a while to get the report published because the pressure from the tobacco industry. Was quite, uh, impressive and I should state people don't realize this, but at the time of the U. S. National Cancer Institute was working on developing a safe cigarette with over 10 million dollars of funding from the tobacco industry. I did not know that. There was a lot of close collaboration with the tobacco industry and [00:08:00] Harvard and Yale. They basically had funded major research programs at some of the top schools in the world. And they were regarded as a, and they were in fact serious in their support. In fact, in the disconnect book, I tell the story of how one scientist in Berlin, desperate for funding. Became a major researcher for the tobacco industry in Germany. And when [00:08:30] he first reported that he thought that tobacco might actually cause cancer, they said, Hey, we'd like to give you another project to work on. We don't think you need to work on that anymore. , and they gave in the redirect, they gave in the project. of studying cell phone radiation. And this was Franz Adelkofer. He studied cell phone radiation, a major multi laboratory, multi million dollar study for the European Union. And in 2002, he produced results. [00:09:00] Contrary to all of their expectations, including his own, he showed That cell phone radiation could in fact damage the brain cells in animals and could damage DNA. He showed that. Right. So that result was world changing except that the industry made the mistake of challenging him, uh, publicly. They tried to discredit him and because he was so prominent [00:09:30] and frankly had the resources to do this, he sued them. And just before he died. Uh, two years ago, German courts ruled that he had been correct and ordered all of the scientists and all of the industry claims that had criticized him to recant the And to stop their criticism of his results. Now, the U S national toxicology program has since confirmed what Adolf [00:10:00] Hofer showed, namely that cell phone radiation can damage DNA. DNA is in the nucleus of every living cell of every living thing, whether plant, insect, or animal. Mammals, and of course, humans, and our DNA can be damaged by cell phone radiation. Now that doesn't mean that we're all doomed, because the important thing for people to understand, and I know you know this, is that no matter how [00:10:30] much damage you may have incurred from exposures to cell phone radiation and to other things, like sunlight, for example, You can repair that damage through good nutrition and exercise and prayer and things that promote health and well being, and of course, avoiding and reducing exposures to the extent possible. Right. You're talking about our body's adaptive capacity, right? Indeed. [00:11:00] For, for, yes, we come up against a lot, however, we could do a lot better if we weren't up against this radiation, right? Indeed. Absolutely. Absolutely. No doubt about it. And you know, we have a community of about 200, 000 people and they're all in different stages of their journey. Some are on health journeys, some just want to have a healthy, happy family and do the right thing for their children. And so I. I really love to break it [00:11:30] down into bite size, non fear based solutions that we can give people, but I want you to help us understand, just like you just did, more about the research. Give us just a couple of the, of the big, important findings that you really want everyone to know about. Well, the first thing we need to understand is that every cell In the body and we have trillions of them has a membrane around it [00:12:00] and cell phone radiation has consistently been shown to weaken membranes, whether it's the membranes around are the neurons in our brain and the blood brain barrier. Or those affecting the membranes around, um, sperm. All of these cells are affected. And the effect can be subtle, uh, and it's not uniformly fatal, obviously not. It's the [00:12:30] long term cumulative effect that we have to be concerned about. That's, that's what we have to pay attention to. The cumulative effects of the combined exposures to many different things in the environment we cannot control. Uh, we need to know, we need to know That the weakening, the weakening of membranes means that it's more possible for other materials in the body, whether it's lead or [00:13:00] pesticides, we might be exposed to through the foods we eat. Uh, all of those things can get more deeply absorbed into a cell if the membranes are weaker. So overall, our bodies are being weakened when they are exposed to cell phone radiation. And we understand that it's the overall exposure, like sunlight, you can think of it, you can liken it to a sunburn. The more sun you get, the more likely you are to [00:13:30] get sunburned if you were sunburned before. And so the cumulative effect is very important. And I'm wondering if there's any research that can help us understand the difference between direct exposure, because we tell people, don't put it in your pocket, don't put it in your bra, try to keep it out of your hands. So that's direct exposure versus, versus the full body exposure, maybe from the phone, maybe from the Wi Fi. How do our bodies actually get affected by the [00:14:00] radiation in the environment versus up against the skin? All right. Well, first of all, sunlight is, is it interesting because you need 20 minutes a day of sunlight in order to make enough vitamin D, which is a very beneficial part component for us. So, unlike sunlight, where you need a little bit for your health, you do not need a little bit of radiation [00:14:30] for anything. All right. It's not, it has no known benefit. I want to be clear about that. Um, the good news I want to share is that colleagues of mine in Turkey, and I have produced several studies showing that omega 3 fatty acids. Melatonin, um, can help repair damage from radiation. And we've done this in studies in cell cultures where we take cell cultures of human cells and we add [00:15:00] to them a melatonin or basically a component of omega 3 fatty acids or fish oil. And then we expose them to cell phone radiation. And when the cells have melatonin in them, Or the omega 3 fatty acids, they get less damage than when they do not. So it's always important to understand that it's not, again, that we're doomed, but that we can repair, uh, repair that damage. [00:15:30] What happens with radiation are a number of processes, one of which is it leads to the formation of reactive oxygen species. And you can think of these kind of like Pac Man that go around gobbling up whatever it might be free and frankly destroying it. So you want to keep your reactive oxygen species to a low level and you want to make sure you consume antioxidants that will reduce them [00:16:00] and reduce the amount of damage, uh, that they can have. Within the system as well. It's important, particularly as, as you know, we've talked about this in my TEDx talk as well. We want to protect children because their skulls are thinner. Their brains contain more fluid, the more fluid in something, whether it's in your microwave oven or. In your breast, the more fluid something contains, the more it [00:16:30] absorbs microwave radiation. So I just want to backtrack for a second. When we talk about melatonin, omega threes, fatty acids, the things that you talked about a moment ago, you're not recommending that parents now give their kids melatonin. I think what you're saying is let's keep the healthy production intact. Absolutely. And let me be clear, let me be clear about that. Sleeping in the dark with [00:17:00] no electronics at all in the bedroom is important for everybody, but particularly for children, there actually is a device that they sell nowadays for infants where you put a cover over the crib. Mm-Hmm. , um, that allows them to be in total darkness. And baby in total darkness is when we naturally produce melatonin from the pineal gland. And melatonin is a natural hormone [00:17:30] that is an antioxidant. So it repairs damage that may have happened just as a consequence of being alive. Because we can't avoid all of the things in the world that can damage ourselves. But if we are healthy and we sleep in the dark. without any electronics in our bedrooms, uh, then we will make enough melatonin naturally. The same thing, it's best to get the cruciferous vegetables, broccoli, cauliflower, [00:18:00] etc., through, through your diet. It's best to get your omega 3 fatty acids through diet as well. Um, sometimes, however, uh, a supplement of melatonin at night can be very helpful, but those always should be Any decision about that should be made in consultation with pediatricians or doctors. A hundred percent. I agree that we need to really, even as adults, we need to regulate our melatonin intake if we're taking it [00:18:30] exogenously because, uh, you know, you're not positive of the formulation and some people are actually sensitive to melatonin. Melatonin supplements, and it can actually change their own melatonin production. So there's healthy, good, healthy living, so, so important. And part of good, healthy living is not just what we eat. It's also our EMF exposure and really regulating it. Correct. That's what I'm hearing from Debra. Yes, absolutely. Because, because honestly, you guys, the [00:19:00] effects can be devastating and Debra shares many stories. On the Environmental Health Trust website and in her new book, which you must read, Deverdew. Do those stories stick with you? Which stories in particular stick with you? Well, there's some, there's some sad stories that of a, of a young man named Justin whose parents did not understand the damaging effect of EMFs, and he was a gamer at a young age, and he slept in his room with his [00:19:30] dog. And his room was saturated, saturated with EMFs, and both he and his dog died of brain tumors. Very, very sad and unusual, and now the parents have become advocates so that other children will be spared that, that fate. Um, there's a young woman we lost this year, Tiffany, who developed a breast cancer when she was 21, right [00:20:00] under where she had stored her phone in her bra. proudly from the time she was 12 or 13. And the breast tumors developed right under where the antenna of the phone had radiated her breast. She died after almost a decade of repeated surgeries to try to spare her. But she was first diagnosed, unfortunately, with advanced disease because [00:20:30] nobody believed a 21 year old boop! cancer. That's an extraordinary, extraordinary. And she had no risk factors for the disease. She did not carry any of the genetic variants and put you at risk of the disease at all. So these are unfortunately warnings for the rest of us at the same time. I'm happy to report that there are some couples I've counseled. Who were having difficulty getting pregnant and in one case when [00:21:00] the fellows stopped carrying his two phones in two pockets, um, they were able to get pregnant within three months, but no one had ever told him that a phone in the pocket. Could damage his firm. And that therein lies the rub. That's the issue. You know, Canada, our largest trading partner and environmental health trust published this and our next door neighbor says that reducing EMF is part of their bio initiative 2030. [00:21:30] It's amazing. But meanwhile, our FDA, our FCC, uh, cell phone manufacturers tell us there's nothing to worry about. It's not a problem. It's all about stronger, faster signals. So Debra, what's wrong with us? We need to do a better job of what you're doing. You are, you are really leading the way here. We need every parent, every grandparent to demand the right to buy safer [00:22:00] products. There's no reason. Why routers should be on 24 7. Frankly, there's no reason we actually need Wi Fi in our homes for the most part. You can, as you and I are both wired with Ethernet cables, we are faster, we're safer from hacking, we're more secure, and it's healthier. So all of those things are a benefit and we need to do a better job of educating people. If you go to our     , which is ehtrust. [00:22:30] org, our website includes practical advice about safe tech at home and what you can do to make a safer home environment. And we're working with other Programs like TechSafe Schools, which I'm a scientific advisor to, and there's specific advice that we have on our website that is on theirs as well, how you can promote safer technology in schools. We know from a recent [00:23:00] fabulous book that has just been written, um, on the anxiety generation. Right, the anxious generation. Yes, the anxious generation. Thank you. We know that what that is doing to our children is depriving them of play. And when, when the moment you give a child a smartphone, you have ended their childhood. I agree. I'm absolutely writing about that right now. And you know, you know, Debra, the interesting thing is you couple that. You [00:23:30] layer on the electromagnetic fields and the physical damage that, you know, you look at the brains of children exposed to EMF and you look at the brains of children looking, looking at screens. Very similar. Uh. you know, findings of less gray matter and different places of hyperactivity. So we know that both of these things are working together to affect our children's brains. And I am always floored because, you know, [00:24:00] I carry a meter with me wherever I go. I determine where I'm sitting at a restaurant. I determine where I'm going to go for a walk. I have that meter get me into a low radiation zone. so that my body can operate at its fullest. So I'm shocked when I go by school still to this day, uh, and see that the radiation is the highest level in the community because they've, they've got the tower either right across the street from the school or on the school [00:24:30] property. They're making money from, you know, renting out a space for a cell phone tower. And plus every school is Completely run by wifi and kids are given their own laptops to use at school and then to take home. I mean, kids. I just, my body aches for children trying to survive in this soup of radiation. You're absolutely correct, and I [00:25:00] think that we can work together, uh, that's in fact what some of the new initiatives that we're going to be developing with the new team at Environmental Health Trust. We, in the, in the new edition of the book that we just released, Disconnect, A Scientist's Solutions for Safer Technology, we discuss the fact. The way antennas are located in our schools would be illegal in Israel and Switzerland. Yes, in other high tech [00:25:30] countries, it is against the law to have antennas directly on schools. And yet our schools, who are so desperate for money, Do not understand that they take the money for the antennas, but they're compromising the quality of the brains and bodies of the children as a result. So we've got to do, yes. Yes. To that point, I consult with moms and They, many of them have, you know, [00:26:00] they're torn because they don't want to be the nagging naysayer at their school. They understand there's a huge issue and I point them to the, some of the posters that you have and the documents that you have and the letters that you have. Can you give us just one or two examples of schools that have been successful and parents who have been successful in having a cell tower removed? Or relocated. Well, there are on our [00:26:30] website, there are many examples and they keep changing, you know, I mean, um, and unfortunately, um, it's a little bit like whack and old, um, Pittsfield, they, they successfully, um, have thought against, um, an antenna being constructed there. And there's efforts ongoing right now in, in Connecticut, it's in several school systems as well. And I think that what we did with our lawsuit, I want to take a moment and just [00:27:00] explain that we filed a lawsuit against the FCC, a little bit like David and Goliath. Yes. In which we said, look, Your standards for testing phones and all of these devices were set now 27 years ago, using 20th century technology for 21st, to evaluate 21st century technology. That makes no sense. That makes absolutely no sense. And so, in addition, we pointed out that there was growing [00:27:30] evidence of damaging effects on non human animals, namely pollinators. Without the honeybee, without the 2, 000 pollinating insects on which modern agriculture depends, we wouldn't have food production in around the world today. And there is growing evidence, the modeled three dimensional image of the honeybee body is affected by 5G and by all of the wireless radiation. And we know [00:28:00] that the worldwide, there's a decline. In honeybee and other pollinating insects. And we know that neonicotinoid pesticides are a cause of that, but wireless radiation is another cause of it. And we need to do a better job of understanding all of that. So in our lawsuit, we said, look, there's all of this data on effects on animals, on effects on children. And what are you doing about it? And the court ordered. the [00:28:30] FCC to go back and reconsider the science. The court said to the FCC, you have not considered all the record that we, Environmental Health Trust, and others have established. Now, it's more than two years since the court issued that decision. And the FCC has done nothing. So what we need is what you can help us with here is we're creating, we're filing, in fact, next week, we are [00:29:00] filing a demand that the FCC respond to the court orders because they have not. They've just ignored it because there's such an arrogant agency. They can ignore the fact that the court said, do this, fix it, stop using outdated technology to evaluate technology that is just being invented today. So why do you have to file again? Isn't the court, doesn't the court have power to do something on [00:29:30] its own? You know, I'm not a lawyer, and I don't know the answer to your question, it's a good question, um, but I think that the answer is this, the FCC is a huge agency, and they operate as an almost like a super constitutional, they basically ignore the law, and until they're going to be held accountable, nothing can happen. Wow. Uh, you know, there's a couple of things I want to, first of all, congratulations [00:30:00] on the victory. Stunning. Important. Victory. Uh, we're behind you. Anything that we can do? Are you looking for letters? Are you looking for just spreading the awareness that the lawsuit happened and that the FCC isn't addressing it? You know, I will ask the attorneys that are proceeding now, and in fact, our new general counsel, exactly what else could be supportive of what we're doing here, because I don't know, but I do know this. The only thing that's going to make a change is when we force the industry to [00:30:30] compete on safety. We want them to compete with giving us safer products. Let me give you just one example. If you have a router in your home, it should go to sleep. As the default mode, it should only be working when you need it. We do not need these signals beaming. 24 seven. There's no way. Yes, and Deborah, our, our most popular item is our Wi Fi kill switch. And we also sell the low power Wi Fi and we also sell a [00:31:00] Wi Fi Faraday box. All really good solutions to lowering the EMF of my favorite. It's just snap it off whenever you're not using it, totally unnecessary to have it spewing that radiation. And I have not looked, nor do I endorse specific products, but I know that there is one from a, a low wifi router from the Netherlands, I think. Yeah. And one made here in the United States. Oh, well, I'll take a look at that. Yes, we offer both. And I actually, the truth [00:31:30] is many people who buy the low EMF wifi that shuts off when it's not being used have issues because it powers some of their wireless things in their, their homes. Like there. They're, uh, security systems. So this, the other one is just low, low enough so that we're not spewing as much of that toxic energy, but so enough power to not turn off those important things in people's homes. Meanwhile. [00:32:00] I'm just like you. I'm all about hardwiring. We focus on creating low EMF sanctuaries because that's where we can control the energy in our homes. But I want to tell you right now that I have been speaking with Theodora about supplying the hardwiring to a school. I want to have a model school where we hardwire the school, we provide the, the, Adapters and dongles that we manufacture, the cabling that's EMF free that we [00:32:30] manufacture, that's grounded, um, and we can even, I know, I'm not even gonna say it, we're not gonna put any low Wi Fi routers in there, low power routers, we're not gonna have any routers, we're gonna be a completely wired school, and then we're gonna talk to people about how it feels and how it works. Well, that sounds like a great idea. We, Theodore and I have talked about this for some time. We've had some progress with a few schools, and then what usually happens is they bring in a new IT guy who doesn't [00:33:00] understand what we're trying to do, and then we have to go back all over again. So it's, it's, it's a constant struggle and I'm really, I'm really delighted that you've been on the case now for quite a while. Quite a while. Yes. Yes. We've been offering a hard, I think we offered our first adapter 10 years ago, uh, because, because I'm sensitive because this is my life. This is how I actually am required to live, to sleep in the canopy, you know, to have the paint. If [00:33:30] a, if a neighbor moves in, just the things that. That I have to do to feel good. And fortunately, I can feel these things instantly. And so I am so with you for people and, and I was so excited. You guys have to read the book to find out that there are options for safer phones that have even been discussed for 20, 30 years. Yes, yes. And, and the technology exists, the patents [00:34:00] already are there. We simply need what, what I call, we need girlcotts. A boycott means no. Okay? Boycott means we're not going to buy your wine if, if it's made by illegal, by people who are working without toilets and without healthcare. That's a boycott, right? A girl cot means we want the right to buy safer products. We wanna be able to buy safer things. We want our schools to be safer for our [00:34:30] children. That means no lead in the drinking water. That means wiring the systems so that they, we want our kids to be computer citizens, but we don't want them to be e zombies. Exactly. I love that. I'm for it. Let's do it. And, you know, we have to talk about this because you do, you sort of mention it in the book because people are looking for solutions. And since I've been in this space for so long, back in the nineties, seriously guys, people were [00:35:00] offering chips for your phones, shields, shielding cloths. I got my first shielding cloth in 2005. And interestingly, I, I. A girlfriend and I held it up against, we were about 15 feet from the microwave. Then we got closer and closer and closer to the microwave and then the microwave, it was just too much energy back on itself and we broke the microwave. This was at my office. So I have been experimenting with shielding, partial shielding for a very long time. You mention it and I just need to [00:35:30] know, do you use partial shielding or harmonizers or chips or any of the gadgets that have come along? calling themselves EMF protection. I generally do not use any of them because I think the safest policy is distance is your friend and turning things off, frankly. And I, I'm not in a position to evaluate whether they work as you know, very well. Some of them may work. Some of them may not. So I generally [00:36:00] try to reduce exposures, but with respect to a question you asked me before, I want to make sure we. We point this out in the new book as well. Several governments have banned Wi Fi for children, for young children. In France, it's banned in kindergarten, it's restricted, uh, in high schools. Cell phones are illegal. For children in elementary and middle middle schools in France in Cyprus. They've removed [00:36:30] Wi Fi from elementary classrooms. Belgium has banned cell phones for for for young children and Israel has also banned them in what in nursery schools and restricted it in in elementary schools and a number of other areas help French Polynesia has also. So there's a number of places around the world that. are moving toward to eliminate or reduce exposures and the European Parliament [00:37:00] a long time ago, I think it was 2011 called on the governments to take measures to reduce exposures, especially in the environment of children. So there's a huge worldwide call. Um, in Spain. I'm working now with people in Argentina. Um, in the United States, we have made some progress. Um, certainly the Maryland State Children's Environmental Health, um, Council issued advice and of course, you know, about the New Hampshire [00:37:30] Commission on 5G. And that is something that Kent Chamberlain, our new president, has played a major role with. And then, you've also, I'm sure, discussed what's going on in Petaluma. Yes. And I, I do want to say though, what you've just, all that information you gave us about other countries and maybe some of the things that we're doing in this country, these are simple, clear directives and solutions that are so easy to incorporate. It's easy to say off. [00:38:00] It's easy to say no for our children's sake. Wouldn't you agree? Uh, yes, absolutely. And there are some schools that have taken the steps to implement some of the things that you provide. I went on your website like special plugs so that the wireless antennas are off, except when the teacher decides that they might need to use them and they teach students to turn off the wireless on their devices so that the students devices themselves have them off. And there's [00:38:30] a list of schools on our website. of schools that have reduced or removed Wi Fi. And I don't, I'm not going to go through it, but some of them are Waldorf schools, of course. Of course. That's where, where we started at a Waldorf school. And, you know, I think that this is just great ammunition for parents who, who are interested and concerned, but not really exactly sure. How to be a, you know, low key activist, and they don't really want to be, they just want, like you said, they want a girlcott. [00:39:00] They just want the safer solution because they love their children and their families and they want to give everybody the best opportunity for health and well being. And one thing that's really important for everybody is to disconnect from all of these devices at least one hour before bedtime in any form of screen. That really is, is important. But the other thing I would, I would add is that distance is your friend. And when it comes to the laptops that are [00:39:30] assigned to children in schools, they don't call them laptops anymore. They call them tablets, Chromebooks. And the reason is they belong on tables. They do not belong on laps. They should not be held on the body. And that basic hygiene is so important. They should be wired. Yeah. Yes. A hundred percent. And I do, I do want to mention at this point that when it comes to putting a device on your lap and [00:40:00] putting a quote unquote shield underneath it, you must remember two things. One, that you're only shielding the area that you're covering. And if you look down, it's most likely the top of your legs. And then secondarily. Where is that energy going? I, I always, uh, use the metaphor of smoke because smoke doesn't get absorbed, neither does EMF radiation, it gets reflected. So where is it going? Is this radiation that's [00:40:30] coming from that thing on your lap? Is it going to your thyroid, to your brain, to your eyes? And If it's so, is that okay? I don't, I don't think so. I think that the really great solution, and that's easy if you must still have wifi, is to connect a keyboard, a wired keyboard. There's these little ports and all of the devices that you can connect and then push that away. Because distance is your friend. Yes. Push [00:41:00] that device away from you, get it further away from you. And of course your wired keyboard won't have radiation coming from it because it's wired. So anyway, yeah, I love these solutions. And I did want to get back to one question from your, your, uh, incredible research, direct exposure versus full body exposure. Do we know how our bodies intake this invisible smoke if you, if you will, for that comparison, It's [00:41:30] happening and it's, you know, an inch away from us and it's, you know, across the room from us or it's next to us. Is that different from it actually touching our bodies? Is there a big difference? Well, the answer is we don't know for sure, but use your common sense. You will be exposed. If you are getting general body exposure, [00:42:00] it's not a good thing. It should be avoided to the extent that you can. The direct exposure of something on your body is the one that you want to avoid first of all, but there is a cumulative effect over a lifetime that particularly for our children of thousands of hours of use and exposures as we are saturated in our general environment with many of these. And because of that fact, it's really important to reduce exposure whenever you [00:42:30] can. And so there are a number of Schools like the Castle Hill High School that have taken steps to do this, but you're asking a question that we don't have the answer to. So the precautionary principle, right? You got it. Bingo. Bingo. And we want to work with more and more parents like they have done in schools in Australia and all over the world. to explain that just like you would never dose your children with chemicals and [00:43:00] pesticides, you shouldn't be dosing them with an environment full of wireless radiation. And in addition to schools or separate from schools, how can we help make larger scale change? outside of our homes. People look and ask that question. And what's your, what's your number one go to for that answer? Do they go to city council meetings? Do they start a blog of their own? Do they tell their neighbor? What's, what's the most important thing [00:43:30] Uh, tactic we want people to get educated, motivated and activated. They get educated by looking at our website at trust on org by looking at what information you have developed, including. You have an incredible array of podcasts that I had not listened to all of them, but I know that all of the ones with Theodora are terrific and and and CeCe Doucette is also a [00:44:00] very knowledgeable educator as well. And so get educated. And then share the education with your neighbors and friends, then get motivated because once people come together, they can organize at the local level, you start out with your school boards and with your local town council and create zones where there is reduced exposure and we want to move toward no exposure. What I believe will be [00:44:30] the model, and this is my hope is just like we did with smoking. Longer would anybody dream of lighting a cigarette inside a school and smoking. And yet, 30, 40 years ago, that was okay. And teachers were allowed to take smoking breaks and had smoking rooms. That is no longer the case. I believe we will have zones with no Wi Fi radiation and that we will [00:45:00] start out with creating them again for children and then for everybody else. And there are some models of that around the world. In Cyprus, they have no Wi Fi in the intensive care units. For newborns, and that's a start. That's hospitals. As you know, our hospitals can be saturated hot beds. Absolutely. The same is true of airports. So I thought that we need to [00:45:30] start a move for low and no EMS zones. So that people like you can be more comfortable in public, you know. I agree. I think that, that we should share them on a website, you know, like Antenna Search. It's now Antenna Search. Sadly, sadly, it still works, but it's kind of a joke because they're everywhere. Whereas they're not an antenna. Where is there a safe zone? And I'll give people just a hint, you know, typography. does affect EMF. And so if you can find a [00:46:00] particularly low guarded area, like a ravine, you'll find that your EMF exposure is less. It's just physics. Um, so that's helpful, but I love that idea, Debra. I'll do anything to help push that forward. It's so important. We might start with that in August. We should revisit what we can do, but I think you start out with, we have to educate more people. That's why I took the time. to issue a new edition of the book. There's 100 pages of new material, including, [00:46:30] by the way, when the book was first published in 2010, I said that I thought cell phones might cause cancer. Since then, the National Toxicology Program, the Ramazzini Institute, and Thousands of other studies have been produced, all showing that cell phone radiation can damage DNA and increase the risk of cancer in animals, and now we have more and more evidence in humans. My position is this. [00:47:00] We study animals in order to predict effects in humans and try to prevent them from happening. We study animals to develop drugs and then use them and test them in people and continue to monitor them. If cell phones were drugs, They would be illegal because they've never been tested for safety before being used and now there's no monitoring and surveillance for effects of them. So we need to start doing a better job of monitoring [00:47:30] what's going on in our schools. Why do we have this dramatic increase in In thyroid cancer in young people, in colorectal cancer in young people, in other cancers in young, and I mean young people, under age 30, we have a fourfold increase in colorectal cancer. Since 2010, and I believe that the practice of keeping cell phones in the back pocket or in the, in the pocket is part of the reason why we have these unexplained [00:48:00] global epidemics Transcribed of cancers in people under the age of 30. Now, when I first wrote the book in 2010, I speculated about it. The new edition now says, look, what are we doing to our children and ourselves? The evidence has become even stronger than when I wrote the book now, 14 years ago. Yes, undeniable. And I think that that's why I'm happy to bring attention to it. That's why we took the time to write the book and the end of the book has a lot of [00:48:30] great material that Theodora has put together, practical advice about what you can do to digital device best practices so that you can reduce your exposures. So the military pilots, cancer study. Are you familiar with that? Yes. In that study, talking to your point about the incredible increase in colorectal cancer, in this study of military air crew and of ground crew, they found an [00:49:00] 87 percent higher rate of melanoma. Do you care to speculate as to why? There was an increase in melanoma in particular? Melanoma is a tough one because we know, of course, that sunlight is a factor. When you're flying in an airplane, you don't get a lot of sunlight. This could very well reflect the incredible increase in exposure that takes place in the cockpit to microwave radiation, and that has dramatically increased recently. [00:49:30] Um, we know that there are a number of different exposures that pilots get, including, by the way, to jet fuel on refueling, which often goes in the front of the plane as well, and they get the fumes, et cetera. I think that this is a worrisome finding that could very well reflect the combined effects. of the volatile exposures that they get to fuels. But the thing that has changed recently is not fuels, because [00:50:00] pilots have been flying airplanes with fuels almost a hundred years now. But the exposure to the wireless radiation inside that cockpit has just mushroomed, mushroomed. And obviously should be examined as a factor here. I absolutely think it could be important. And I do love that in phase B, they actually used the words, non ionizing radiation might be a link. They actually say that, [00:50:30] the military, the Pentagon study. So and then another thing I'm just curious if you had direction about with this particular study is I looked back and I saw that cockpits were outfitted with the millimeter wave antenna starting back before 2010. Right. And, and to me personally, it feels. like the millimeter wave is affecting our skin more. I mean, that's [00:51:00] an interesting point. That's a very interesting point. Let's talk about that. The millimeter wave does affect the skin more because it gets just a little bit into the skin, but the skin is our largest organ and turns out to have an immunological function that has not been widely appreciated. Think about this. You get sunlight, you send out inside and you feel better when you're out in the light. Okay. Everybody gets a certain feeling of relaxation. Yes. Right. Yes. That's [00:51:30] because that sunlight to your skin gives you a systemic effect of well being. And it is understood just a little bit of exposure into your skin has an effect throughout the body. So it's not that it only affects the skin, but it is true that the effect is primarily into the skin. We know that babies that are born with jaundice, that are a little bit yellow, we treat them by covering their eyes and exposing their little bodies [00:52:00] to blue light because that blue light takes the blood that's circulating into the surface of their skins and Creates vitamin D synthesis in the liver of these newborns from the blue light into the skin blue light in the skin affects the blood of those babies so that it forms dihydroxy vitamin D in the liver and has a systemic effect on those babies. So light just [00:52:30] getting a little bit into the skin of the newborn affects how much vitamin D they produce. And when they produce more vitamin D, it gets rid of the jaundice. So, we understand there's a correlation. A direct causal, not just correlation. We know that blue light in the skin of the newborn produces vitamin D in their bloodstream. So, the millimeter wave affecting the skin is affecting us holistically. [00:53:00] Correct. And the whole layering on of all these different frequencies, it's a, it's a hot button for me. Because my body just. freaks out with this even more so. And I think that I would like to encourage you to take a look at the work of Rina Bray. That's R I I N A B R A Y at the Toronto Women's Hospital. She, and of course you know, um, Sharon Goldberg. Sure. Yeah, because they [00:53:30] have been reported some success in helping people to modulate their response so that you can have less, less reaction to the EMFs and that's, I think, very important. You know, it costs a lot of money to be electro sensitive. Right? It does. I know. I know. You're fortunate. No, no. I understand. But think about all the people that don't know that they're having reactions to electromagnetic fields and being treated with psychoactive drugs [00:54:00] and, and other things. Exactly. I love that you brought that up. And it's, this is also my concern with the partial shielding is that they believe that they're doing something good and they're getting this. false sense of security and they're not doing anything actually to change exposure and sometimes they're increasing it. In fact, almost every demonstration I do, it's an increase. And I fully agree with you on that. That's why I say that I don't generally use any of these small little devices because they may reduce the amount coming out of the [00:54:30] back of the phone and then increase it every place else. Yeah. It's, there's so much to do. Anyway. Yep. Thank you. I cannot, I cannot tell you enough how much I appreciate this time. It's mutual. I want you to know that you really are a very critical part of what we need to do. And frankly, what we're hoping to do with the new team as the new team comes in place, and I'd like to introduce you to them. If you haven't interviewed Kent Chamberlain, uh, or Rob Brown, you will really enjoy talking with them as well [00:55:00] because they have their own. Takes on things. Kent has developed modeling of the brain to show absorption, uh, as it moves through the brain. And Rob, of course, is a diagnostic radiologist can go toe to toe and explain why the myth that the only effect of microwaves is heat is wrong. That's very important that people understand that. I would love to talk to Kent. I would love that. Debra, thank you so much. This has been a very enlightening conversation. [00:55:30] I'm so honored that you've been here and thank you for the continued work and congratulations to the Environmental Health Trust. Well, thank you. I really appreciate it. Thank you for listening to Thriving with Technology, the tech wellness podcast. We hope you'll look for Dr. Davis's new book, Disconnect, a scientist's solutions for safer technology. If you found the information here valuable, we ask that you please share it with your community because it's important for [00:56:00] everyone to understand the truth around EMF and not just the hype. Also, we sincerely appreciate every five star review because it helps us show up and spread the message more efficiently. Until next time then, be well.

Hello and welcome to Episode 196 of The Ska Geek Podcast! The ska keeps rolling in from around the globe. I have some great tunes for you this month and I hope you enjoy! Thanks to all the bands for their submissions. Here are this episodes sweet ska tunes! 01 Swigfoot- Whose Grandma?!? • 02 Henchmyn- Two Thumbs Down • 03 Obsidian Hearts- Leaves in Fall • 04 Spankshaft- Terrible Things • 05 Obsidian Hearts-  Leaves in Fall • 06 Nate Funk- Rocket Rocket Rocketship • 07 Danny Rebel & The KGB- By The Book • 08 The Mercurials- Money Hungry Man • 09 G-MEN- Me & My Shades • 10 Nick and the Adversaries- This Time • 11 Fabulous Fred & Friends- Simmer Down • 12 Norwood- To The Hilt • 13 Warsaw Poland Bros- Give Me a Sign • 14 Dubmones feat. Susan Cadogan & Welton Irie- Blitzkrieg Bop • 15 Ghosttoen Steppas- Steppas Tonight • 16 The Ratchets- Swagger With Kindness • BONUS PUNK TRACK: 17 45 Adapters- 86400  Enjoy. SKank on.

We turn the nerd meter up to eleven on today's episode with longtime friend of the show, Russ White. First we dive into how an Ethernet adapter knows when a link is lost, where Russ teaches us all about loss of carrier and OAM. He also gives us a tutorial on how the rest of... Read more »

We turn the nerd meter up to eleven on today's episode with longtime friend of the show, Russ White. First we dive into how an Ethernet adapter knows when a link is lost, where Russ teaches us all about loss of carrier and OAM. He also gives us a tutorial on how the rest of... Read more »

We turn the nerd meter up to eleven on today's episode with longtime friend of the show, Russ White. First we dive into how an Ethernet adapter knows when a link is lost, where Russ teaches us all about loss of carrier and OAM. He also gives us a tutorial on how the rest of... Read more »

Episode 306: Join Francie and Jose @riviantrackr on today's episode to talk about what we can all expect if we go out and charge a Rivian on the Tesla Supercharger network. They talk about the easy charging experience, data displayed, adapters, and interoperability. Jose's twitter/X account: https://x.com/RivianTrackr/status/1770846261026971701?s=20Shoutout to our sponsors for more information find their links below:- Fort Collins Kia: Visit focokia.com for full details. Disclaimer: *Delivery covers up to $1,000. - Star Charge: https://www.starcharge.com/charging/ - Kempower: https://kempower.com/america/charging-solutions/Find us on all of these places:YouTube: https://www.youtube.com/outofspecpodcastApple Podcasts: https://podcasts.apple.com/us/podcast/out-of-spec-podcast/id1576636119Spotify: https://open.spotify.com/show/0tKIQfKL9oaHc1DLOTWvbdAmazon: https://music.amazon.com/podcasts/473692b9-05b9-41f9-9b38-9f86fbdabee7/OUT-OF-SPEC-PODCASTFor further inquiries please email podcast@outofspecstudios.com#rivian #tesla #supercharger Hosted on Acast. See acast.com/privacy for more information.

Wed, 13 Mar 2024 22:30:00 GMT http://relay.fm/connected/493 http://relay.fm/connected/493 Ends in Potify 493 Federico Viticci, Stephen Hackett, and Myke Hurley This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. clean 6370 This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. This episode of Connected is sponsored by: Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Ecamm: Powerful live streaming platform for Mac. Try it for free today. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Apple Style Guide – March 2024 (PDF) Apple Style Guide: March 2024 – 512 Pixels Federico's Post about Zapier AI Apple will allow users to download apps directly from a developer's website, in latest EU App Store rule change - 9to5Mac Distributing apps using alternative payment options in the European Union - Support - Apple Developer More options for apps distributed in the European Union - Latest News - Apple Developer Upgrade #503: We Own the Refs, the Stadium, and the Field - Relay FM Biden deputy press secretary leaving White House for Apple - 9to5Mac Apple will cut off third-party app store updates if your iPhone leaves the EU for a month - The Verge Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy UK Air Cover for Apple Vision Pro How to Follo

Wed, 13 Mar 2024 22:30:00 GMT http://relay.fm/connected/493 http://relay.fm/connected/493 Federico Viticci, Stephen Hackett, and Myke Hurley This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. clean 6370 This week, the guys cover what's new in Apple's DMA response and make some picks about what could come next. Then, they provide updates on their Apple Vision Pro experiences. This episode of Connected is sponsored by: Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Ecamm: Powerful live streaming platform for Mac. Try it for free today. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Apple Style Guide – March 2024 (PDF) Apple Style Guide: March 2024 – 512 Pixels Federico's Post about Zapier AI Apple will allow users to download apps directly from a developer's website, in latest EU App Store rule change - 9to5Mac Distributing apps using alternative payment options in the European Union - Support - Apple Developer More options for apps distributed in the European Union - Latest News - Apple Developer Upgrade #503: We Own the Refs, the Stadium, and the Field - Relay FM Biden deputy press secretary leaving White House for Apple - 9to5Mac Apple will cut off third-party app store updates if your iPhone leaves the EU for a month - The Verge Solotop for Apple Vision Pro Modern Solo Knit Top-strap Adapters print & Ship - Etsy UK Air Cover for Apple Vision Pro Ho

I interviewed Geoffery Angus, ML team lead @Predibase to talk about why adapter-based training is a game changer. We started with an overview of fine-tuning and then discussed five reasons why adapters are the future of LLMs. Later we also shared a demo and answered questions from the live audience. Try fine-tuning for free: https://pbase.ai/GetStarted Geoffrey's LinkedIn:https://www.linkedin.com/in/geoffreyangus Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana's LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/⁠ Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana's LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/ Geoffrey's LinkedIn: https://www.linkedin.com/in/geoffreyangus Try finetuning for free: https://pbase.ai/GetStarted (00:00:00) Intro (00:01:19) What is Fine-tuning? (00:08:18) Utilizing Adapters for Finetuning Enhancement (00:09:50) 5 reasons why adapters are the future of LLMs (00:26:34) Common Mistakes in Adapters Usage (00:28:34) Training Your Own Adapter (00:32:23) Behind the Scenes of the Adapter Training Process (00:37:51) Config File Guidance for Fine-Tuning (00:39:41) Debugging Strategies for Suboptimal Fine-Tuning Results (00:42:23) User Queries: Creating a LoRa Adapter and Future Support (00:51:06) Key Takeaways and Recap

Fine-tuning large pre-trained models is an effective transfer mechanism in NLP. However, in the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new model is required for every task. As an alternative, we propose transfer with adapter modules. Adapter modules yield a compact and extensible model; they add only a few trainable parameters per task, and new tasks can be added without revisiting previous ones. The parameters of the original network remain fixed, yielding a high degree of parameter sharing. To demonstrate adapter's effectiveness, we transfer the recently proposed BERT Transformer model to 26 diverse text classification tasks, including the GLUE benchmark. Adapters attain near state-of-the-art performance, whilst adding only a few parameters per task. On GLUE, we attain within 0.4% of the performance of full fine-tuning, adding only 3.6% parameters per task. By contrast, fine-tuning trains 100% of the parameters per task. 2019: N. Houlsby, A. Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, S. Gelly Natural language processing, Benchmark (computing), Transformer, Document classification, Downstream (software development), While https://arxiv.org/pdf/1902.00751.pdf

Explore this episode of the Out of Spec Podcast where Francie breaks down Ford's game-changing move to hook up their EV customers with Tesla Supercharger network adapters “soon.” Get the lowdown on the details of Jim Farley's announcement, what it means for the Ford EV squad, and hang out with Liv and Patrick from @MachE_VLOG as they chat about their ride, what they love most about this impending change, and dig into the dos and don'ts of supercharger charging.Thumbnail credit: Tesla and FordSources referenced in or used to support today's show: - OoS Reviews VinFast VF8 video: - Mach-E Vlogs Channel: https://www.youtube.com/@MachE_VLOG/videos- Jim Farley's tweet: https://twitter.com/jimfarley98/status/1752751796462792781?s=20Shoutout to our sponsors for more information find their links below:- Star Charge: https://www.starcharge.com/charging?id=20 - Kempower: https://kempower.com/america/charging-solutions/Find us on all of these places:YouTube: https://www.youtube.com/outofspecpodcastApple Podcasts: https://podcasts.apple.com/us/podcast/out-of-spec-podcast/id1576636119Spotify: https://open.spotify.com/show/0tKIQfKL9oaHc1DLOTWvbdAmazon: https://music.amazon.com/podcasts/473692b9-05b9-41f9-9b38-9f86fbdabee7/OUT-OF-SPEC-PODCASTFor further inquiries please email podcast@outofspecstudios.com#supercharger #ford #fordlightning Hosted on Acast. See acast.com/privacy for more information.

The episode focuses on the concept of dynamism in academic medicine and public health, with Kemi introducing four distinct types: the builder, the traveler, the maintainer, and the adapter. Each type brings unique value to academia, challenging conventional judgments about career paths. Join in as Kemi explores the characteristics, contributions, and potential misconceptions of each type, sharing personal anecdotes and observations. The episode also examines the possibility of transitioning between dynamism types throughout one's career. Tune in to explore and discover your kind of dynamism and learn why your dynamism is your superpower.And if you'd like to learn more foundational career navigation concepts for women of color in academic medicine and public health, sign up for our KD Coaching Foundations Series: www.kemidoll.com/foundations.

Fine-tuning large pre-trained models is an effective transfer mechanism in NLP. However, in the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new model is required for every task. As an alternative, we propose transfer with adapter modules. Adapter modules yield a compact and extensible model; they add only a few trainable parameters per task, and new tasks can be added without revisiting previous ones. The parameters of the original network remain fixed, yielding a high degree of parameter sharing. To demonstrate adapter's effectiveness, we transfer the recently proposed BERT Transformer model to 26 diverse text classification tasks, including the GLUE benchmark. Adapters attain near state-of-the-art performance, whilst adding only a few parameters per task. On GLUE, we attain within 0.4% of the performance of full fine-tuning, adding only 3.6% parameters per task. By contrast, fine-tuning trains 100% of the parameters per task. 2019: N. Houlsby, A. Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, S. Gelly Natural language processing, Benchmark (computing), Transformer, Document classification, Downstream (software development), While https://arxiv.org/pdf/1902.00751v1.pdf

This is Eric Stark with The Smart RVer Podcast, delivering the smarts you need to enjoy the freedom of the RV Lifestyle without the fear of breaking down! Enjoying the RV Life: Eric and Alexis discuss tips for buying your first RV! Eric would probably tell you not to buy a new RV, only a nice used one but we won't go into that right now… anyways, Alexis and Eric do give out tips about one should go about buying their very first RV. There is a lot of fore thought that goes into buying an RV of any type so doing extensive research is vital.  Staying On The Road: Why are pigtails, or in other words, 110 Volt adapters, so confusing? Well, that's exactly what Eric explains in depth to his listeners this week. It's something everyone with an RV should know, so Eric is here to clarify things in this Staying on the Road portion of the show.  YouTube Video about 110 Volt Adapters The Next Stop: This week, Alexis and Eric will go into the world of the best RV parks in the USA. This is just a small list, and there are many others that aren't listed but are just as great! The important thing to remember about The Next Stop is that it just gives you a small taste of what you can research before you take a trip. RV Envy: Eric gives you the full run-down of sewer hoses! There is a difference between some sewer hoses, so we like to keep our listeners informed so they can buy the right ones for their specific needs! Check Out Our No-Nonsense YouTube Videos RV Sunshade, Windshield Covers & Slide Out Awning Fabrics RV Parts & Accessories The Smart RVer Podcast Website Marine Cordage- Anchor Lines, Dock Lines, Tow Lines etc. RV Roof Magic Dicor Products- Dicorproducts.com Rudys (Dicor) Tips and Tricks Book- RudysRoofbook.pdf RV Destinations Magazine- RVdestinationsmagazine.com TheSmartRVer YouTube Channel- youtube.com

About the Guest: Douglas Birk is an EV enthusiast and owner of a 2020 Tesla Model Y. He has experience using different charging networks and adapters. You can find him on X handle "@lifemiddie" and his podcast "Life with Middie" on Apple Podcasts. Summary: Douglas discusses his experience using the Tesla CCS adapter and the Ford Charge network. He shares the challenges he faced with the CCS adapter and highlights the benefits of the Ford Charge network. The conversation also touches on EV charging etiquette and the importance of queue systems at charging stations. Key Takeaways: The Tesla CCS adapter and the Ford Charge network provided a positive charging experience for Douglas. The Ford Charge network is open to all EVs and offers convenient charging options. Software updates can improve the charging capabilities of EV charging stations. EV charging etiquette, such as leaving space between vehicles and following queue systems, is important for a smooth charging experience. Quotes: "I'm really excited for the Ford community and for the rest of EVs. Ford is building up their own dedicated charging network." - Douglas "The Ford Charge network is going to be a real winner." - Douglas

 Originally Published 10/29/17Bondage, Leather, Whips, Furs, Latex, Masters and Slaves - all about Fetishes tonight!Here's the Playlist:Oh Bondage (Up Yours)X-Ray Spex Punk You Vol. 1Vinyl Fetishists 45 Adapters  Patriots Not FoolsWaitress in...

 Originally Published 10/29/17Bondage, Leather, Whips, Furs, Latex, Masters and Slaves - all about Fetishes tonight!Here's the Playlist:Oh Bondage (Up Yours)X-Ray Spex Punk You Vol. 1Vinyl Fetishists 45 Adapters  Patriots Not FoolsWaitress in...

It's grievance o'clock somewhere. (Right here on this podcast is where.)Reviews of the new iMacs are out and Apple is telling people not to wait for a 27-inch model.Apple has some good updates for Logic and Final Cut.Our thanks to Electric. Unbury yourself from IT tasks. The team over at Electric knows small businesses and are on hand to help with time-consuming parts of your business. Get a free pair of Beats Solo3 Wireless Headphones when you schedule a meeting. Go to electric.ai/rebound.Our thanks to Rocket Money, a personal finance app that finds and cancels your unwanted subscriptions, monitors your spending, and helps you lower your bills - all in one place. Cancel unwanted subscriptions – and manage your expenses the easy way – by going to rocketmoney.com/rebound.If you want to help out the show and get some great bonus content, consider becoming a Rebound Prime member! Just go to prime.reboundcast.com to check it out!You can now also support the show by buying shirts, iPhone cases, hats and more items featuring our catchphrase, "TECHNOLOGY"! Are we right?!

As alluded to on the pod, LangChain has just launched LangChain Hub: “the go-to place for developers to discover new use cases and polished prompts.” It's available to everyone with a LangSmith account, no invite code necessary. Check it out!In 2023, LangChain has speedrun the race from 2:00 to 4:00 to 7:00 Silicon Valley Time. From the back to back $10m Benchmark seed and (rumored) $20-25m Sequoia Series A in April, to back to back critiques of “LangChain is Pointless” and “The Problem with LangChain” in July, to teaching with Andrew Ng and keynoting at basically every AI conference this fall (including ours), it has been an extreme rollercoaster for Harrison and his growing team creating one of the most popular (>60k stars at time of writing) building blocks for AI Engineers.LangChain's OriginsThe first commit to LangChain shows its humble origins as a light wrapper around Python's formatter.format for prompt templating. But as Harrison tells the story, even his first experience with text-davinci-002 in early 2022 was focused on chatting with data from their internal company Notion and Slack, what is now known as Retrieval Augmented Generation (RAG). As the Generative AI meetup scene came to life post Stable Diffusion, Harrison saw a need for common abstractions for what people were building with text LLMs at the time:* LLM Math, aka Riley Goodside's “You Can't Do Math” REPL-in-the-loop (PR #8)* Self-Ask With Search, Ofir Press' agent pattern (PR #9) (later ReAct, PR #24)* NatBot, Nat Friedman's browser controlling agent (PR #18)* Adapters for OpenAI, Cohere, and HuggingFaceHubAll this was built and launched in a few days from Oct 16-25, 2022. Turning research ideas/exciting usecases into software quickly and often has been in the LangChain DNA from Day 1 and likely a big driver of LangChain's success, to date amassing the largest community of AI Engineers and being the default launch framework for every big name from Nvidia to OpenAI:Dancing with GiantsBut AI Engineering is built atop of constantly moving tectonic shifts: * ChatGPT launched in November (“The Day the AGI Was Born”) and the API released in March. Before the ChatGPT API, OpenAI did not have a chat endpoint. In order to build a chatbot with history, you had to make sure to chain all messages and prompt for completion. LangChain made it easy to do that out of the box, which was a huge driver of usage. * Today, OpenAI has gone all-in on the chat API and is deprecating the old completions models, essentially baking in the chat pattern as the default way most engineers should interact with LLMs… and reducing (but not eliminating) the value of ConversationChains.* And there have been more updates since: Plugins released in API form as Functions in June (one of our top pods ever… reducing but not eliminating the value of OutputParsers) and Finetuning in August (arguably reducing some need for Retrieval and Prompt tooling). With each update, OpenAI and other frontier model labs realign the roadmaps of this nascent industry, and Harrison credits the modular design of LangChain in staying relevant. LangChain has not been merely responsive either: LangChain added Agents in November, well before they became the hottest topic of the AI Summer, and now Agents feature as one of LangChain's top two usecases. LangChain's problem for podcasters and newcomers alike is its sheer scope - it is the world's most complete AI framework, but it also has a sprawling surface area that is difficult to fully grasp or document in one sitting. This means it's time for the trademark Latent Space move (ChatGPT, GPT4, Auto-GPT, and Code Interpreter Advanced Data Analysis GPT4.5): the executive summary!What is LangChain?As Harrison explains, LangChain is an open source framework for building context-aware reasoning applications, available in Python and JS/TS.It launched in Oct 2022 with the central value proposition of “composability”, aka the idea that every AI engineer will want to switch LLMs, and combine LLMs with other things into “chains”, using a flexible interface that can be saved via a schema.Today, LangChain's principal offerings can be grouped as:* Components: isolated modules/abstractions* Model I/O* Models (for LLM/Chat/Embeddings, from OpenAI, Anthropic, Cohere, etc)* Prompts (Templates, ExampleSelectors, OutputParsers)* Retrieval (revised and reintroduced in March)* Document Loaders (eg from CSV, JSON, Markdown, PDF)* Text Splitters (15+ various strategies for chunking text to fit token limits)* Retrievers (generic interface for turning an unstructed query into a set of documents - for self-querying, contextual compression, ensembling)* Vector Stores (retrievers that search by similarity of embeddings)* Indexers (sync documents from any source into a vector store without duplication)* Memory (for long running chats, whether a simple Buffer, Knowledge Graph, Summary, or Vector Store)* Use-Cases: compositions of Components* Chains: combining a PromptTemplate, LLM Model and optional OutputParser* with Router, Sequential, and Transform Chains for advanced usecases* savable, sharable schemas that can be loaded from LangChainHub* Agents: a chain that has access to a suite of tools, of nondeterministic length because the LLM is used as a reasoning engine to determine which actions to take and in which order. Notable 100LOC explainer here.* Tools (interfaces that an agent can use to interact with the world - preset list here. Includes things like ChatGPT plugins, Google Search, WolframAlpha. Groups of tools are bundled up as toolkits)* AgentExecutor (the agent runtime, basically the while loop, with support for controls, timeouts, memory sharing, etc)* LangChain has also added a Callbacks system for instrumenting each stage of LLM, Chain, and Agent calls (which enables LangSmith, LangChain's first cloud product), and most recently an Expression Language, a declarative way to compose chains.LangChain the company incorporated in January 2023, announced their seed round in April, and launched LangSmith in July. At time of writing, the company has 93k followers, their Discord has 31k members and their weekly webinars are attended by thousands of people live.The full-featuredness of LangChain means it is often the first starting point for building any mainstream LLM use case, because they are most likely to have working guides for the new developer. Logan (our first guest!) from OpenAI has been a notable fan of both LangChain and LangSmith (they will be running the first LangChain + OpenAI workshop at AI Eng Summit). However, LangChain is not without its critics, with Aravind Srinivas, Jim Fan, Max Woolf, Mckay Wrigley and the general Reddit/HN community describing frustrations with the value of their abstractions, and many are attempting to write their own (the common experience of adding and then removing LangChain is something we covered in our Agents writeup). Harrison compares this with the timeless ORM debate on the value of abstractions.LangSmithLast month, Harrison launched LangSmith, their LLM observability tool and first cloud product. LangSmith makes it easy to monitor all the different primitives that LangChain offers (agents, chains, LLMs) as well as making it easy to share and evaluate them both through heuristics (i.e. manually written ones) and “LLM evaluating LLM” flows. The top HN comment in the “LangChain is Pointless” thread observed that orchestration is the smallest part of the work, and the bulk of it is prompt tuning and data serialization. When asked this directly our pod, Harrison agreed:“I agree that those are big pain points that get exacerbated when you have these complex chains and agents where you can't really see what's going on inside of them. And I think that's partially why we built Langsmith…” (48min mark)You can watch the full launch on the LangChain YouTube:It's clear that the target audience for LangChain is expanding to folks who are building complex, production applications rather than focusing on the simpler “Q&A your docs” use cases that made it popular in the first place. As the AI Engineer space matures, there will be more and more tools graduating from supporting “hobby” projects to more enterprise-y use cases. In this episode we run through some of the history of LangChain, how it's growing from an open source project to one of the highest valued AI startups out there, and its future. We hope you enjoy it!Show Notes* LangChain* LangChain's Berkshire Hathaway Homepage* Abstractions tweet* LangSmith* LangSmith Cookbooks repo* LangChain Retrieval blog* Evaluating CSV Question/Answering blog and YouTube* MultiOn Partner blog* Harvard Sports Analytics Collective* Evaluating RAG Webinar* awesome-langchain:* LLM Math Chain* Self-Ask* LangChain Hub UI* “LangChain is Pointless”* Harrison's links* sports - estimating player compatibility in the NBA* early interest in prompt injections* GitHub* TwitterTimestamps* [00:00:00] Introduction* [00:00:48] Harrison's background and how sports led him into ML* [00:04:54] The inspiration for creating LangChain - abstracting common patterns seen in other GPT-3 projects* [00:05:51] Overview of LangChain - a framework for building context-aware reasoning applications* [00:10:09] Components of LangChain - modules, chains, agents, etc.* [00:14:39] Underappreciated parts of LangChain - text splitters, retrieval algorithms like self-query* [00:18:46] Hiring at LangChain* [00:20:27] Designing the LangChain architecture - balancing flexibility and structure* [00:24:09] The difference between chains and agents in LangChain* [00:25:08] Prompt engineering and LangChain* [00:26:16] Announcing LangSmith* [00:30:50] Writing custom evaluators in LangSmith* [00:33:19] Reducing hallucinations - fixing retrieval vs generation issues* [00:38:17] The challenges of long context windows* [00:40:01] LangChain's multi-programming language strategy* [00:45:55] Most popular LangChain blog posts - deep dives into specific topics* [00:50:25] Responding to LangChain criticisms* [00:54:11] Harrison's advice to AI engineers* [00:55:43] Lightning RoundTranscriptAlessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai. [00:00:19]Swyx: Welcome. Today we have Harrison Chase in the studio with us. Welcome Harrison. [00:00:23]Harrison: Thank you guys for having me. I'm excited to be here. [00:00:25]Swyx: It's been a long time coming. We've been asking you for a little bit and we're really glad that you got some time to join us in the studio. Yeah. [00:00:32]Harrison: I've been dodging you guys for a while. [00:00:34]Swyx: About seven months. You pulled me in here. [00:00:37]Alessio: About seven months. But it's all good. I totally understand. [00:00:38]Swyx: We like to introduce people through the official backgrounds and then ask you a little bit about your personal side. So you went to Harvard, class of 2017. You don't list what you did in Harvard. Was it CS? [00:00:48]Harrison: Stats and CS. [00:00:50]Swyx: That's awesome. I love me some good stats. [00:00:52]Harrison: I got into it through stats, through doing sports analytics. And then there was so much overlap between stats and CS that I found myself doing more and more of that. [00:00:59]Swyx: And it's interesting that a lot of the math that you learn in stats actually comes over into machine learning which you applied at Kensho as a machine learning engineer and Robust Intelligence, which seems to be the home of a lot of AI founders.Harrison: It does. Yeah. Swyx: And you started LangChain, I think around November 2022 and incorporated in January. Yeah. [00:01:19]Harrison: I was looking it up for the podcast and the first tweet was on, I think October 24th. So just before the end of November or end of October. [00:01:26]Swyx: Yeah. So that's your LinkedIn. What should people know about you on the personal side that's not obvious on LinkedIn? [00:01:33]Harrison: A lot of how I got into this is all through sports actually. Like I'm a big sports fan, played a lot of soccer growing up and then really big fan of the NBA and NFL. And so freshman year at college showed up and I knew I liked math. I knew I liked sports. One of the clubs that was there was the Sports Analytics Collective. And so I joined that freshman year, I was doing a lot of stuff in like Excel, just like basic stats, but then like wanted to do more advanced stuff. So learn to code, learn kind of like data science and machine learning through that way. Kind of like just kept on going down that path. I think sports is a great entryway to data science and machine learning. There's a lot of like numbers out there. People like really care. Like I remember, I think sophomore, junior year, I was in the Sports Collective and the main thing we had was a blog. And so we wrote a blog. It wasn't me. One of the other people in the club wrote a blog predicting the NFL season. I think they made some kind of like with stats and I think their stats showed that like the Dolphins would end up beating the Patriots and New England got like pissed about it, of course. So people like really care and they'll give you feedback about whether you're like models doing well or poorly. And so you get that. And then you also get like instantaneous kind of like, well, not instantaneous, but really quick feedback. Like if you predict a game, the game happens that night. Like you don't have to wait a year to see what happens. So I think sports is a great kind of like entryway for kind of like data science. [00:02:43]Alessio: There was actually my first article on the Twilio blog with a Python script to like predict pricing of like Daily Fantasy players based on my past week performance. Yeah, I don't know. It's a good getaway drug. [00:02:56]Swyx: And on my end, the way I got into finance was through sports betting. So maybe we all have some ties in there. Was like Moneyball a big inspiration? The movie? [00:03:06]Harrison: Honestly, not really. I don't really like baseball. That's like the big thing. [00:03:10]Swyx: Let's call it a lot of stats. Cool. Well, we can dive right into LangChain, which is what everyone is excited about. But feel free to make all the sports analogies you want. That really drives home a lot of points. What was your GPT aha moment? When did you start working on GPT itself? Maybe not LangChain, just anything to do with the GPT API? [00:03:29]Harrison: I think it probably started around the time we had a company hackathon. I think that was before I launched LangChain. I'm trying to remember the exact sequence of events, but I do remember that at the hackathon I worked with Will, who's now actually at LangChain as well, and then two other members of Robust. And we made basically a bot where you could ask questions of Notion and Slack. And so I think, yeah, RAG, basically. And I think I wanted to try that out because I'd heard that it was getting good. I'm trying to remember if I did anything before that to realize that it was good. So then I would focus on that on the hackathon. I can't remember or not, but that was one of the first times that I built something [00:04:06]Swyx: with GPT-3. There wasn't that much opportunity before because the API access wasn't that widespread. You had to get into some kind of program to get that. [00:04:16]Harrison: DaVinci-002 was not terrible, but they did an upgrade to get it to there, and they didn't really publicize that as much. And so I think I remember playing around with it when the first DaVinci model came out. I was like, this is cool, but it's not amazing. You'd have to do a lot of work to get it to do something. But then I think that February or something, I think of 2022, they upgraded it and it was it got better, but I think they made less of an announcement around it. And so I just, yeah, it kind of slipped under the radar for me, at least. [00:04:45]Alessio: And what was the step into LangChain? So you did the hackathon, and then as you were building the kind of RAG product, you felt like the developer experience wasn't that great? Or what was the inspiration? [00:04:54]Harrison: No, honestly, so around that time, I knew I was going to leave my previous job. I was trying to figure out what I was going to do next. I went to a bunch of meetups and other events. This was like the September, August, September of that year. So after Stable Diffusion, but before ChatGPT. So there was interest in generative AI as a space, but not a lot of people hacking on language models yet. But there were definitely some. And so I would go to these meetups and just chat with people and basically saw some common abstractions in terms of what they were building, and then thought it would be a cool side project to factor out some of those common abstractions. And that became kind of like LangChain. I looked up again before this, because I remember I did a tweet thread on Twitter to announce LangChain. And we can talk about what LangChain is. It's a series of components. And then there's some end-to-end modules. And there was three end-to-end modules that were in the initial release. One was NatBot. So this was the web agent by Nat Friedman. Another was LLM Math Chain. So it would construct- [00:05:51]Swyx: GPT-3 cannot do math. [00:05:53]Harrison: Yeah, exactly. And then the third was Self-Ask. So some type of RAG search, similar to React style agent. So those were some of the patterns in terms of what I was seeing. And those all came from open source or academic examples, because the people who were actually working on this were building startups. And they were doing things like question answering over your databases, question answering over SQL, things like that. But I couldn't use their code as kind of like inspiration to factor things out. [00:06:18]Swyx: I talked to you a little bit, actually, roundabout, right after you announced LangChain. I'm honored. I think I'm one of many. This is your first open source project. [00:06:26]Harrison: No, that's not actually true. I released, because I like sports stats. And so I remember I did release some really small, random Python package for scraping data from basketball reference or something. I'm pretty sure I released that. So first project to get a star on GitHub, let's say that. [00:06:45]Swyx: Did you reference anything? What was the inspirations, like other frameworks that you look to when open sourcing LangChain or announcing it or anything like that? [00:06:53]Harrison: I mean, the only main thing that I looked for... I remember reading a Hacker News post a little bit before about how a readme on the project goes a long way. [00:07:02]Swyx: Readme's help. [00:07:03]Harrison: Yeah. And so I looked at it and was like, put some status checks at the top and have the title and then one or two lines and then just right into installation. And so that's the main thing that I looked at in terms of how to structure it. Because yeah, I hadn't done open source before. I didn't really know how to communicate that aspect of the marketing or getting people to use it. I think I had some trouble finding it, but I finally found it and used that as a lot [00:07:25]Swyx: of the inspiration there. Yeah. It was one of the subjects of my write-up how it was surprising to me that significant open source experience actually didn't seem to matter in the new wave of AI tooling. Most like auto-GPTs, Torrents, that was his first open source project ever. And that became auto-GPT. Yeah. I don't know. To me, it's just interesting how open source experience is kind of fungible or not necessary. Or you can kind of learn it on the job. [00:07:49]Alessio: Overvalued. [00:07:50]Swyx: Overvalued. Okay. You said it, not me. [00:07:53]Alessio: What's your description of LangChain today? I think when I built the LangChain Hub UI in January, there were a few things. And I think you were one of the first people to talk about agents that were already in there before it got hot now. And it's obviously evolved into a much bigger framework today. Run people through what LangChain is today, how they should think about it, and all of that. [00:08:14]Harrison: The way that we describe it or think about it internally is that LangChain is basically... I started off saying LangChain's a framework for building LLM applications, but that's really vague and not really specific. And I think part of the issue is LangChain does do a lot, so it's hard to be somewhat specific. But I think the way that we think about it internally, in terms of prioritization, what to focus on, is basically LangChain's a framework for building context-aware reasoning applications. And so that's a bit of a mouthful, but I think that speaks to a lot of the core parts of what's in LangChain. And so what concretely that means in LangChain, there's really two things. One is a set of components and modules. And these would be the prompt template abstraction, the LLM abstraction, chat model abstraction, vector store abstraction, text splitters, document loaders. And so these are combinations of things that we build and we implement, or we just have integrations with. So we don't have any language models ourselves. We don't have any vector stores ourselves, but we integrate with a lot of them. And then the text splitters, we have our own logic for that. The document loaders, we have our own logic for that. And so those are the individual modules. But then I think another big part of LangChain, and probably the part that got people using it the most, is the end-to-end chains or applications. So we have a lot of chains for getting started with question answering over your documents, chat question answering, question answering over SQL databases, agent stuff that you can plug in off the box. And that basically combines these components in a series of specific ways to do this. So if you think about a question answering app, you need a lot of different components kind of stacked. And there's a bunch of different ways to do question answering apps. So this is a bit of an overgeneralization, but basically, you know, you have some component that looks up an embedding from a vector store, and then you put that into the prompt template with the question and the context, and maybe you have the chat history as well. And then that generates an answer, and then maybe you parse that out, or you do something with the answer there. And so there's just this sequence of things that you basically stack in a particular way. And so we just provide a bunch of those assembled chains off the shelf to make it really easy to get started in a few lines of code. [00:10:09]Alessio: And just to give people context, when you first released LangChain, OpenAI did not have a chat API. It was a completion-only API. So you had to do all the human assistant, like prompting and whatnot. So you abstracted a lot of that away. I think the most interesting thing to me is you're kind of the Switzerland of this developer land. There's a bunch of vector databases that are killing each other out there to get people to embed data in them, and you're like, I love you all. You all are great. How do you think about being an opinionated framework versus leaving a lot of choice to the user? I mean, in terms of spending time into this integration, it's like you only have 10 people on the team. Obviously that takes time. Yeah. What's that process like for you all? [00:10:50]Harrison: I think right off the bat, having different options for language models. I mean, language models is the main one that right off the bat we knew we wanted to support a bunch of different options for. There's a lot to discuss there. People want optionality between different language models. They want to try it out. They want to maybe change to ones that are cheaper as new ones kind of emerge. They don't want to get stuck into one particular one if a better one comes out. There's some challenges there as well. Prompts don't really transfer. And so there's a lot of nuance there. But from the bat, having this optionality between the language model providers was a big important part because I think that was just something we felt really strongly about. We believe there's not just going to be one model that rules them all. There's going to be a bunch of different models that are good for a bunch of different use cases. I did not anticipate the number of vector stores that would emerge. I don't know how many we supported in the initial release. It probably wasn't as big of a focus as language models was. But I think it kind of quickly became so, especially when Postgres and Elastic and Redis started building their vector store implementations. We saw that some people might not want to use a dedicated vector store. Maybe they want to use traditional databases. I think to your point around what we're opinionated about, I think the thing that we believe most strongly is it's super early in the space and super fast moving. And so there's a lot of uncertainty about how things will shake out in terms of what role will vector databases play? How many will there be? And so I think a lot of it has always kind of been this optionality and ability to switch and not getting locked in. [00:12:19]Swyx: There's other pieces of LangChain which maybe don't get as much attention sometimes. And the way that you explained LangChain is somewhat different from the docs. I don't know how to square this. So for example, you have at the top level in your docs, you have, we mentioned ModelIO, we mentioned Retrieval, we mentioned Chains. Then you have a concept called Agents, which I don't know if exactly matches what other people call Agents. And we also talked about Memory. And then finally there's Callbacks. Are there any of the less understood concepts in LangChain that you want to give some air to? [00:12:53]Harrison: I mean, I think buried in ModelIO is some stuff around like few-shot example selectors that I think is really powerful. That's a workhorse. [00:13:01]Swyx: Yeah. I think that's where I start with LangChain. [00:13:04]Harrison: It's one of those things that you probably don't, if you're building an application, you probably don't start with it. You probably start with like a zero-shot prompt. But I think that's a really powerful one that's probably just talked about less because you don't need it right off the bat. And for those of you who don't know, that basically selects from a bunch of examples the ones that are maybe most relevant to the input at hand. So you can do some nice kind of like in-context learning there. I think that's, we've had that for a while. I don't think enough people use that, basically. Output parsers also used to be kind of important, but then function calling. There's this interesting thing where like the space is just like progressing so rapidly that a lot of things that were really important have kind of diminished a bit, to be honest. Output parsers definitely used to be an understated and underappreciated part. And I think if you're working with non-OpenAI models, they still are, but a lot of people are working with OpenAI models. But even within there, there's different things you can do with kind of like the function calling ability. Sometimes you want to have the option of having the text or the application you're building, it could return either. Sometimes you know that it wants to return in a structured format, and so you just want to take that structured format. Other times you're extracting things that are maybe a key in that structured format, and so you want to like pluck that key. And so there's just like some like annoying kind of like parsing of that to do. Agents, memory, and retrieval, we haven't talked at all. Retrieval, there's like five different subcomponents. You could also probably talk about all of those in depth. You've got the document loaders, the text splitters, the embedding models, the vector stores. Embedding models and vector stores, we don't really have, or sorry, we don't build, we integrate with those. Text splitters, I think we have like 15 or so. Like I think there's an under kind of like appreciated amount of those. [00:14:39]Swyx: And then... Well, it's actually, honestly, it's overwhelming. Nobody knows what to choose. [00:14:43]Harrison: Yeah, there is a lot. [00:14:44]Swyx: Yeah. Do you have personal favorites that you want to shout out? [00:14:47]Harrison: The one that we have in the docs is the default is like the recursive text splitter. We added a playground for text splitters the other week because, yeah, we heard a lot that like, you know, and like these affect things like the chunk overlap and the chunks, they affect things in really subtle ways. And so like I think we added a playground where people could just like choose different options. We have like, and a lot of the ideas are really similar. You split on different characters, depending on kind of like the type of text that you have marked down, you might want to split on differently than HTML. And so we added a playground where you can kind of like choose between those. I don't know if those are like underappreciated though, because I think a lot of people talk about text splitting as being a hard part, and it is a really important part of creating these retrieval applications. But I think we have a lot of really cool retrieval algorithms as well. So like self query is maybe one of my favorite things in LangChain, which is basically this idea of when you have a user question, the typical kind of like thing to do is you embed that question and then find the document that's most similar to that question. But oftentimes questions have things that just, you don't really want to look up semantically, they have some other meaning. So like in the example that I use, the example in the docs is like movies about aliens in the year 1980. 1980, I guess there's some semantic meaning for that, but it's a very particular thing that you care about. And so what the self query retriever does is it splits out the metadata filter and most vector stores support like a metadata filter. So it splits out this metadata filter, and then it splits out the semantic bit. And that's actually like kind of tricky to do because there's a lot of different filters that you can have like greater than, less than, equal to, you can have and things if you have multiple filters. So we have like a pretty complicated like prompt that does all that. That might be one of my favorite things in LangChain, period. Like I think that's, yeah, I think that's really cool. [00:16:26]Alessio: How do you think about speed of development versus support of existing things? So we mentioned retrieval, like you got, or, you know, text splitting, you got like different options for all of them. As you get building LangChain, how do you decide which ones are not going to keep supporting, you know, which ones are going to leave behind? I think right now, as you said, the space moves so quickly that like you don't even know who's using what. What's that like for you? [00:16:50]Harrison: Yeah. I mean, we have, you know, we don't really have telemetry on what people are using in terms of what parts of LangChain, the telemetry we have is like, you know, anecdotal stuff when people ask or have issues with things. A lot of it also is like, I think we definitely prioritize kind of like keeping up with the stuff that comes out. I think we added function calling, like the day it came out or the day after it came out, we added chat model support, like the day after it came out or something like that. That's probably, I think I'm really proud of how the team has kind of like kept up with that because this space is like exhausting sometimes. And so that's probably, that's a big focus of ours. The support, I think we've like, to be honest, we've had to get kind of creative with how we do that. Cause we have like, I think, I don't know how many open issues we have, but we have like 3000, somewhere between 2000 and 3000, like open GitHub issues. We've experimented with a lot of startups that are doing kind of like question answering over your docs and stuff like that. And so we've got them on the website and in the discord and there's a really good one, dosu on the GitHub that's like answering issues and stuff like that. And that's actually something we want to start leaning into more heavily as a company as well as kind of like building out an AI dev rel because we're 10 people now, 10, 11 people now. And like two months ago we were like six or something like that. Right. So like, and to have like 2,500 open issues or something like that, and like 300 or 400 PRs as well. Cause like one of the amazing things is that like, and you kind of alluded to this earlier, everyone's building in the space. There's so many different like touch points. LangChain is lucky enough to kind of like be a lot of the glue that connects it. And so we get to work with a lot of awesome companies, but that's also a lot of like work to keep up with as well. And so I don't really have an amazing answer, but I think like the, I think prioritize kind of like new things that, that come out. And then we've gotten creative with some of kind of like the support functions and, and luckily there's, you know, there's a lot of awesome people working on all those support coding, question answering things that we've been able to work with. [00:18:46]Swyx: I think there is your daily rhythm, which I've seen you, you work like a, like a beast man, like mad impressive. And then there's sometimes where you step back and do a little bit of high level, like 50,000 foot stuff. So we mentioned, we mentioned retrieval. You did a refactor in March and there's, there's other abstractions that you've sort of changed your mind on. When do you do that? When do you do like the, the step back from the day to day and go, where are we going and change the direction of the ship? [00:19:11]Harrison: It's a good question so far. It's probably been, you know, we see three or four or five things pop up that are enough to make us think about it. And then kind of like when it reaches that level, you know, we don't have like a monthly meeting where we sit down and do like a monthly plan or something. [00:19:27]Swyx: Maybe we should. I've thought about this. Yeah. I'd love to host that meeting. [00:19:32]Harrison: It's really been a lot of, you know, one of the amazing things is we get to interact with so many different people. So it's been a lot of kind of like just pattern matching on what people are doing and trying to see those patterns before they punch us in the face or something like that. So for retrieval, it was the pattern of seeing like, Hey, yeah, like a lot of people are using vector sort of stuff. But there's also just like other methods and people are offering like hosted solutions and we want our abstractions to work with that as well. So we shouldn't bake in this paradigm of doing like semantic search too heavily, which sounds like basic now, but I think like, you know, to start a lot of it was people needed help doing these things. But then there was like managed things that did them, hybrid retrieval mechanisms, all of that. I think another example of this, I mean, Langsmith, which we can maybe talk about was like very kind of like, I think we worked on that for like three or four months before announcing it kind of like publicly, two months maybe before giving it to kind of like anyone in beta. But this was a lot of debugging these applications as a pain point. We hear that like just understanding what's going on is a pain point. [00:20:27]Alessio: I mean, you two did a webinar on this, which is called Agents vs. Chains. It was fun, baby. [00:20:32]Swyx: Thanks for having me on. [00:20:33]Harrison: No, thanks for coming. [00:20:34]Alessio: That was a good one. And on the website, you list like RAG, which is retrieval of bank debt generation and agents as two of the main goals of LangChain. The difference I think at the Databricks keynote, you said chains are like predetermined steps and agents is models reasoning to figure out what steps to take and what actions to take. How should people think about when to use the two and how do you transition from one to the other with LangChain? Like is it a path that you support or like do people usually re-implement from an agent to a chain or vice versa? [00:21:05]Swyx: Yeah. [00:21:06]Harrison: You know, I know agent is probably an overloaded term at this point, and so there's probably a lot of different definitions out there. But yeah, as you said, kind of like the way that I think about an agent is basically like in a chain, you have a sequence of steps. You do this and then you do this and then you do this and then you do this. And with an agent, there's some aspect of it where the LLM is kind of like deciding what to do and what steps to do in what order. And you know, there's probably some like gray area in the middle, but you know, don't fight me on this. And so if we think about those, like the benefits of the chains are that they're like, you can say do this and you just have like a more rigid kind of like order and the way that things are done. They have more control and they don't go off the rails and basically everything that's bad about agents in terms of being uncontrollable and expensive, you can control more finely. The benefit of agents is that I think they handle like the long tail of things that can happen really well. And so for an example of this, let's maybe think about like interacting with a SQL database. So you can have like a SQL chain and you know, the first kind of like naive approach at a SQL chain would be like, okay, you have the user question. And then you like write the SQL query, you do some rag, you pull in the relevant tables and schemas, you write a SQL query, you execute that against the SQL database. And then you like return that as the answer, or you like summarize that with an LLM and return that to the answer. And that's basically the SQL chain that we have in LangChain. But there's a lot of things that can go wrong in that process. Starting from the beginning, you may like not want to even query the SQL database at all. Maybe they're saying like, hi, or something, or they're misusing the application. Then like what happens if you have some step, like a big part of the application that people with LangChain is like the context aware part. So there's generally some part of bringing in context to the language model. So if you bring in the wrong context to the language model, so it doesn't know which tables to query, what do you do then? If you write a SQL query, it's like syntactically wrong and it can't run. And then if it can run, like what if it returns an unexpected result or something? And so basically what we do with the SQL agent is we give it access to all these different tools. So it has another tool, it can run the SQL query as another, and then it can respond to the user. But then if it kind of like, it can decide which order to do these. And so it gives it flexibility to handle all these edge cases. And there's like, obviously downsides to that as well. And so there's probably like some safeguards you want to put in place around agents in terms of like not letting them run forever, having some observability in there. But I do think there's this benefit of, you know, like, again, to the other part of what LangChain is like the reasoning part, like each of those steps individually involves some aspect of reasoning, for sure. Like you need to reason about what the SQL query is, you need to reason about what to return. But there's then there's also reasoning about the order of operations. And so I think to me, the key is kind of like giving it an appropriate amount to reason about while still keeping it within checks. And so to the point, like, I would probably recommend that most people get started with chains and then when they get to the point where they're hitting these edge cases, then they think about, okay, I'm hitting a bunch of edge cases where the SQL query is just not returning like the relevant things. Maybe I should add in some step there and let it maybe make multiple queries or something like that. Basically, like start with chain, figure out when you're hitting these edge cases, add in the reasoning step to that to handle those edge cases appropriately. That would be kind of like my recommendation, right? [00:24:09]Swyx: If I were to rephrase it, in my words, an agent would be a reasoning node in a chain, right? Like you start with a chain, then you just add a reasoning node, now it's an agent. [00:24:17]Harrison: Yeah, the architecture for your application doesn't have to be just a chain or just an agent. It can be an agent that calls chains, it can be a chain that has an agent in different parts of them. And this is another part as well. Like the chains in LangChain are largely intended as kind of like a way to get started and take you some amount of the way. But for your specific use case, in order to kind of like eke out the most performance, you're probably going to want to do some customization at the very basic level, like probably around the prompt or something like that. And so one of the things that we've focused on recently is like making it easier to customize these bits of existing architectures. But you probably also want to customize your architectures as well. [00:24:52]Swyx: You mentioned a bit of prompt engineering for self-ask and then for this stuff. There's a bunch of, I just talked to a prompt engineering company today, PromptOps or LLMOps. Do you have any advice or thoughts on that field in general? Like are you going to compete with them? Do you have internal tooling that you've built? [00:25:08]Harrison: A lot of what we do is like where we see kind of like a lot of the pain points being like we can talk about LangSmith and that was a big motivation for that. And like, I don't know, would you categorize LangSmith as PromptOps? [00:25:18]Swyx: I don't know. It's whatever you want it to be. Do you want to call it? [00:25:22]Harrison: I don't know either. Like I think like there's... [00:25:24]Swyx: I think about it as like a prompt registry and you store them and you A-B test them and you do that. LangSmith, I feel like doesn't quite go there yet. Yeah. It's obviously the next step. [00:25:34]Harrison: Yeah, we'll probably go. And yeah, we'll do more of that because I think that's definitely part of the application of a chain or agent is you start with a default one, then you improve it over time. And like, I think a lot of the main new thing that we're dealing with here is like language models. And the main new way to control language models is prompts. And so like a lot of the chains and agents are powered by this combination of like prompt language model and then some output parser or something doing something with the output. And so like, yeah, we want to make that core thing as good as possible. And so we'll do stuff all around that for sure. [00:26:05]Swyx: Awesome. We might as well go into LangSmith because we're bringing it up so much. So you announced LangSmith I think last month. What are your visions for it? Is this the future of LangChain and the company? [00:26:16]Harrison: It's definitely part of the future. So LangSmith is basically a control center for kind of like your LLM application. So the main features that it kind of has is like debugging, logging, monitoring, and then like testing and evaluation. And so debugging, logging, monitoring, basically you set three environment variables and it kind of like logs all the runs that are happening in your LangChain chains or agents. And it logs kind of like the inputs and outputs at each step. And so the main use case we see for this is in debugging. And that's probably the main reason that we started down this path of building it is I think like as you have these more complex things, debugging what's actually going on becomes really painful whether you're using LangChain or not. And so like adding this type of observability and debuggability was really important. Yeah. There's a debugging aspect. You can see the inputs, outputs at each step. You can then quickly enter into like a playground experience where you can fiddle around with it. The first version didn't have that playground and then we'd see people copy, go to open AI playground, paste in there. Okay. Well, that's a little annoying. And then there's kind of like the monitoring, logging experience. And we recently added some analytics on like, you know, how many requests are you getting per hour, minute, day? What's the feedback like over time? And then there's like a testing debugging, sorry, testing and evaluation component as well where basically you can create datasets and then test and evaluate these datasets. And I think importantly, all these things are tied to each other and then also into LangChain, the framework. So what I mean by that is like we've tried to make it as easy as possible to go from logs to adding a data point to a dataset. And because we think a really powerful flow is you don't really get started with a dataset. You can accumulate a dataset over time. And so being able to find points that have gotten like a thumbs up or a thumbs down from a user can be really powerful in terms of creating a good dataset. And so that's maybe like a connection between the two. And then the connection in the other way is like all the runs that you have when you test or evaluate something, they're logged in the same way. So you can debug what exactly is going on and you don't just have like a final score. You have like this nice trace and thing where you can jump in. And then we also want to do more things to hook this into a LangChain proper, the framework. So I think like some of like the managing the prompts will tie in here already. Like we talked about example selectors using datasets as a few short examples is a path that we support in a somewhat janky way right now, but we're going to like make better over time. And so there's this connection between everything. Yeah. [00:28:42]Alessio: And you mentioned the dataset in the announcement blog post, you touched on heuristic evaluation versus LLMs evaluating LLMs. I think there's a lot of talk and confusion about this online. How should people prioritize the two, especially when they might start with like not a good set of evals or like any data at all? [00:29:01]Harrison: I think it's really use case specific in the distinction that I draw between heuristic and LLM. LLMs, you're using an LLM to evaluate the output heuristics, you have some common heuristic that you can use. And so some of these can be like really simple. So we were doing some kind of like measuring of an extraction chain where we wanted it to output JSON. Okay. One evaluation can be, can you use JSON.loads to load it? And like, right. And that works perfectly. You don't need an LLM to do that. But then for like a lot of like the question answering, like, is this factually accurate? And you have some ground truth fact that you know it should be answering with. I think, you know, LLMs aren't perfect. And I think there's a lot of discussion around the pitfalls of using LLMs to evaluate themselves. And I'm not saying they're perfect by any means, but I do think they're, we've found them to be kind of like better than blue or any of those metrics. And the way that I also like to use those is also just like guide my eye about where to look. So like, you know, I might not trust the score of like 0.82, like exactly correct, but like I can look to see like which data points are like flagged as passing or failing. And sometimes the evaluators messing up, but it's like good to like, you know, I don't have to look at like a hundred data points. I can focus on like 10 or something like that. [00:30:10]Alessio: And then can you create a heuristic once in Langsmith? Like what's like your connection to that? [00:30:16]Harrison: Yeah. So right now, all the evaluation, we actually do client side. And part of this is basically due to the fact that a lot of the evaluation is really application specific. So we thought about having evaluators, you could just click off and run in a server side or something like that. But we still think it's really early on in evaluation. We still think there's, it's just really application specific. So we prioritized instead, making it easy for people to write custom evaluators and then run them client side and then upload the results so that they can manually inspect them because I think manual inspection is still a pretty big part of evaluation for better or worse. [00:30:50]Swyx: We have this sort of components of observability. We have cost, latency, accuracy, and then planning. Is that listed in there? [00:30:57]Alessio: Well, planning more in the terms of like, if you're an agent, how to pick the right tool and whether or not you are picking the right tool. [00:31:02]Swyx: So when you talk to customers, how would you stack rank those needs? Are they cost sensitive? Are they latency sensitive? I imagine accuracy is pretty high up there. [00:31:13]Harrison: I think accuracy is definitely the top that we're seeing right now. I think a lot of the applications, people are, especially the ones that we're working with, people are still struggling to get them to work at a level where they're reliable [00:31:24]Swyx: enough. [00:31:25]Harrison: So that's definitely the first. Then I think probably cost becomes the next one. I think a few places where we've started to see this be like one of the main things is the AI simulation that came out. [00:31:36]Swyx: Generative agents. Yeah, exactly. [00:31:38]Harrison: Which is really fun to run, but it costs a lot of money. And so one of our team members, Lance, did an awesome job hooking up like a local model to it. You know, it's not as perfect, but I think it helps with that. Another really big place for this, we believe, is in like extraction of structured data from unstructured data. And the reason that I think it's so important there is that usually you do extraction of some type of like pre-processing or indexing process over your documents. I mean, there's a bunch of different use cases, but one use case is for that. And generally that's over a lot of documents. And so that starts to rack up a bill kind of quickly. And I think extraction is also like a simpler task than like reasoning about which tools to call next in an agent. And so I think it's better suited for that. Yeah. [00:32:15]Swyx: On one of the heuristics I wanted to get your thoughts on, hallucination is one of the big problems there. Do you have any recommendations on how people should reduce hallucinations? [00:32:25]Harrison: To reduce hallucinations, we did a webinar on like evaluating RAG this past week. And I think there's this great project called RAGOS that evaluates four different things across two different spectrums. So the two different spectrums are like, is the retrieval part right? Or is the generation, or sorry, like, is it messing up in retrieval or is it messing up in generation? And so I think to fix hallucination, it probably depends on where it's messing up. If it's messing up in generation, then you're getting the right information, but it's still hallucinating. Or you're getting like partially right information and hallucinating some bits, a lot of that's prompt engineering. And so that's what we would recommend kind of like focusing on the prompt engineering part. And then if you're getting it wrong in the, if you're just not retrieving the right stuff, then there's a lot of different things that you can probably do, or you should look at on the retrieval bit. And honestly, that's where it starts to become a bit like application specific as well. Maybe there's some temporal stuff going on. Maybe you're not parsing things correctly. Yeah. [00:33:19]Swyx: Okay. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:33:35]Harrison: Yeah. Yeah. [00:33:37]Swyx: Yeah. [00:33:38]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:33:56]Swyx: Yeah. Yeah. [00:33:58]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:34:04]Swyx: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:34:17]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah, I mean, there's probably a larger discussion around that, but openAI definitely had a huge headstart, right? And that's... Clawds not even publicly available yet, I don't think. [00:34:28]Swyx: The API? Yeah. Oh, well, you can just basically ask any of the business reps and they'll give it to you. [00:34:33]Harrison: You can. But it's still a different signup process. I think there's... I'm bullish that other ones will catch up especially like Anthropic and Google. The local ones are really interesting. I think we're seeing a big... [00:34:46]Swyx: Lama Two? Yeah, we're doing the fine-tuning hackathon tomorrow. Thanks for promoting that. [00:34:50]Harrison: No, thanks for it. I'm really excited about that stuff. I mean, that's something that like we've been, you know, because like, as I said, like the only thing we know is that the space is moving so fast and changing so rapidly. And like, local models are, have always been one of those things that people have been bullish on. And it seems like it's getting closer and closer to kind of like being viable. So I'm excited to see what we can do with some fine-tuning. [00:35:10]Swyx: Yeah. I have to confess, I did not know that you cared. It's not like a judgment on Langchain. I was just like, you know, you write an adapter for it and you're done, right? Like how much further does it go for Langchain? In terms of like, for you, it's one of the, you know, the model IO modules and that's it. But like, you seem very personally, very passionate about it, but I don't know what the Langchain specific angle for this is, for fine-tuning local models, basically. Like you're just passionate about local models and privacy and all that, right? And open source. [00:35:41]Harrison: Well, I think there's a few different things. Like one, like, you know, if we think about what it takes to build a really reliable, like context-aware reasoning application, there's probably a bunch of different nodes that are doing a bunch of different things. And I think it is like a really complex system. And so if you're relying on open AI for every part of that, like, I think that starts to get really expensive. Also like, probably just like not good to have that much reliability on any one thing. And so I do think that like, I'm hoping that for like, you know, specific parts at the end, you can like fine-tune a model and kind of have a more specific thing for a specific task. Also, to be clear, like, I think like, I also, at the same time, I think open AI is by far the easiest way to get started. And if I was building anything, I would absolutely start with open AI. So. [00:36:27]Swyx: It's something I think a lot of people are wrestling with. But like, as a person building apps, why take five vendors when I can take one vendor, right? Like, as long as I trust Azure, I'm just entrusting all my data to Azure and that's it. So I'm still trying to figure out the real case for local models in production. And I don't know, but fine-tuning, I think, is a good one. That's why I guess open AI worked on fine-tuning. [00:36:49]Harrison: I think there's also like, you know, like if there is, if there's just more options available, like prices are going to go down. So I'm happy about that. So like very selfishly, there's that aspect as well. [00:37:01]Alessio: And in the Lancsmith announcement, I saw in the product screenshot, you have like chain, tool and LLM as like the three core atoms. Is that how people should think about observability in this space? Like first you go through the chain and then you start dig down between like the model itself and like the tool it's using? [00:37:19]Harrison: We've added more. We've added like a retriever logging so that you can see like what query is going in and what are the documents you're getting out. Those are like the three that we started with. I definitely think probably the main ones, like basically the LLM. So the reason I think the debugging in Lancsmith and debugging in general is so needed for these LLM apps is that if you're building, like, again, let's think about like what we want people to build in with LangChain. These like context aware reasoning applications. Context aware. There's a lot of stuff in the prompt. There's like the instructions. There's any previous messages. There's any input this time. There's any documents you retrieve. And so there's a lot of like data engineering that goes into like putting it into that prompt. This sounds silly, but just like making sure the data shows up in the right format is like really important. And then for the reasoning part of it, like that's obviously also all in the prompt. And so being able to like, and there's like, you know, the state of the world right now, like if you have the instructions at the beginning or at the end can actually make like a big difference in terms of whether it forgets it or not. And so being able to kind of like. [00:38:17]Swyx: Yeah. And it takes on that one, by the way, this is the U curve in context, right? Yeah. [00:38:21]Harrison: I think it's real. Basically I've found long context windows really good for when I want to extract like a single piece of information about something basically. But if I want to do reasoning over perhaps multiple pieces of information that are somewhere in like the retrieved documents, I found it not to be that great. [00:38:36]Swyx: Yeah. I have said that that piece of research is the best bull case for Lang chain and all the vector companies, because it means you should do chains. It means you should do retrieval instead of long context, right? People are trying to extend long context to like 100K, 1 million tokens, 5 million tokens. It doesn't matter. You're going to forget. You can't trust it. [00:38:54]Harrison: I expect that it will probably get better over time as everything in this field. But I do also think there'll always be a need for kind of like vector stores and retrieval in some fashions. [00:39:03]Alessio: How should people get started with Langsmith Cookbooks? Wanna talk maybe a bit about that? [00:39:08]Swyx: Yeah. [00:39:08]Harrison: Again, like I think the main thing that even I find valuable about Langsmith is just like the debugging aspect of it. And so for that, it's very simple. You can kind of like turn on three environment variables and it just logs everything. And you don't look at it 95% of the time, but that 5% you do when something goes wrong, it's quite handy to have there. And so that's probably the easiest way to get started. And we're still in a closed beta, but we're letting people off the wait list every day. And if you really need access, just DM me and we're happy to give you access there. And then yeah, there's a lot that you can do with Langsmith that we've been talking about. And so Will on our team has been leading the charge on a really great like Langsmith Cookbooks repo that covers everything from collecting feedback, whether it's thumbs up, thumbs down, or like multi-scale or comments as well, to doing evaluation, doing testing. You can also use Langsmith without Langchain. And so we've got some notebooks on that in there. But we have Python and JavaScript SDKs that aren't dependent on Langchain in any way. [00:40:01]Swyx: And so you can use those. [00:40:01]Harrison: And then we'll also be publishing a notebook on how to do that just with the REST APIs themselves. So yeah, definitely check out that repo. That's a great resource that Will's put together. [00:40:10]Swyx: Yeah, awesome. So we'll zoom out a little bit from Langsmith and talk about Langchain, the company. You're also a first-time founder. Yes. And you've just hired your 10th employee, Julia, who I know from my data engineering days. You mentioned Will Nuno, I think, who maintains Langchain.js. I'm very interested in like your multi-language strategy, by the way. Ankush, your co-founder, Lance, who did AutoEval. What are you staffing up for? And maybe who are you hiring? [00:40:34]Harrison: Yeah, so 10 employees, 12 total. We've got three more joining over the next three weeks. We've got Julia, who's awesome leading a lot of the product, go-to-market, customer success stuff. And then we've got Bri, who's also awesome leading a lot of the marketing and ops aspects. And then other than that, all engineers. We've staffed up a lot on kind of like full stack infra DevOps, kind of like as we've started going into the hosted platform. So internally, we're split about 50-50 between the open source and then the platform stuff. And yeah, we're looking to hire particularly on kind of like the things, we're actually looking to hire across most fronts, to be honest. But in particular, we probably need one or two more people on like open source, both Python and JavaScript and happy to dive into the multi-language kind of like strategy there. But again, like strong focus there on engineering, actually, as opposed to maybe like, we're not a research lab, we're not a research shop. [00:41:48]Swyx: And then on the platform side, [00:41:49]Harrison: like we definitely need some more people on the infra and DevOps side. So I'm using this as an opportunity to tell people that we're hiring and that you should reach out if that sounds like you. [00:41:58]Swyx: Something like that, jobs, whatever. I don't actually know if we have an official job. [00:42:02]Harrison: RIP, what happened to your landing page? [00:42:04]Swyx: It used to be so based. The Berkshire Hathaway one? Yeah, so what was the story, the quick story behind that? Yeah, the quick story behind that is we needed a website [00:42:12]Harrison: and I'm terrible at design. [00:42:14]Swyx: And I knew that we couldn't do a good job. [00:42:15]Harrison: So if you can't do a good job, might as well do the worst job possible. Yeah, and like lean into it. And have some fun with it, yeah. [00:42:21]Swyx: Do you admire Warren Buffett? Yeah, I admire Warren Buffett and admire his website. And actually you can still find a link to it [00:42:26]Harrison: from our current website if you look hard enough. So there's a little Easter egg. Before we dive into more of the open source community things, [00:42:33]Alessio: let's dive into the language thing. How do you think about parity between the Python and JavaScript? Obviously, they're very different ecosystems. So when you're working on a LangChain, is it we need to have the same abstraction in both language or are you to the needs? The core stuff, we want to have the same abstractions [00:42:50]Harrison: because we basically want to be able to do serialize prompts, chains, agents, all the core stuff as tightly as possible and then use that between languages. Like even, yeah, like even right now when we log things to LangChain, we have a playground experience where you can run things that runs in JavaScript because it's kind of like in the browser. But a lot of what's logged is like Python. And so we need that core equivalence for a lot of the core things. Then there's like the incredibly long tail of like integrations, more researchy things. So we want to be able to do that. Python's probably ahead on a lot of like the integrations front. There's more researchy things that we're able to include quickly because a lot of people release some of their code in Python and stuff like that. And so we can use that. And there's just more of an ecosystem around the Python project. But the core stuff will have kind of like the same abstractions and be translatable. That didn't go exactly where I was thinking. So like the LangChain of Ruby, the LangChain of C-sharp, [00:43:44]Swyx: you know, there's demand for that. I mean, I think that's a big part of it. But you are giving up some real estate by not doing it. Yeah, it comes down to kind of like, you know, ROI and focus. And I think like we do think [00:43:58]Harrison: there's a strong JavaScript community and we wanted to lean into that. And I think a lot of the people that we brought on early, like Nuno and Jacob have a lot of experience building JavaScript tooling in that community. And so I think that's a big part of it. And then there's also like, you know, building JavaScript tooling in that community. Will we do another language? Never say never, but like... [00:44:21]Swyx: Python JS for now. Yeah. Awesome. [00:44:23]Alessio: You got 83 articles, which I think might be a record for such a young company. What are like the hottest hits, the most popular ones? [00:44:32]Harrison: I think the most popular ones are generally the ones where we do a deep dive on something. So we did something a few weeks ago around evaluating CSV q

Welcome to the Smart RVer Podcast!  Propane: Staying Safe and Sound in your RV while using adapters for BBQ Grills and other LP appliances. That will be today's topic for Staying on the Road. We are also going to be talking about “RV Friendly Recipes” in Living the RV Life, And then we are going to visit “Enchanted Circle New Mexico” in The Next Stop, and we will then wrap the show up with “RV Envy,” and in this episode, we are going to talk about “Keyed Alike Locks for RV's Living the RV Life: Eric and Alexis spend some time on Recipes that are ideal for the Life Style and how simple it can be to prepare your own meals while on the road. Full Article Trekkn RV Recipes! Staying on the Road: Eric explains how the RV Low-Pressure System on many RVs might have a Quick Connect for the Propane System to hook up BBQs, Grills conveniently, and other LP Appliances. Eric discusses how it is not as simple as it might seem, and usually, you will need an adapter to make your BbQ or Grill work with the quick connector. Most appliances have LP Regulators, as does your RV, and two regulators do not allow the appliance to work. The appliance can't have a regulator, which is where LP Adapters for the appliances come in. Listen to the full episode. Next Stop: Alexis takes us on a trip to Enchanted Circle, New Mexico, near Taos. This is a great RV Get- A-Way trip. Read the full article. RV Envy: Having all of your compartment doors and entrance door keyed alike is a great option for any RVer. Global is our lock of choice and most RV stores can help you with this process. Listen to the full episode.

We have a laugh at Elon's alt account, why the knives are out for GitHub Co-pilot, and our thoughts on Apple's "major victory" this week.