Podcasts about Paint

How are we feeling gang? What are you happy about, and what's making you not so happy? Fearne's back with more chatter about what's putting her and the Happy Place team in a good mood this week, and what can absolutely get in the bin.This is a lovely little space for all of us to explore what's been on our minds. Want to join the chat? Send us a voicenote, DM, or comment on Instagram @happyplaceofficial!In this chat, Fearne covers:-Feeling stupid when you're with really clever people-Why we should properly get into tree hugging-Painting by numbers to get away from screens-Not RSVPing being rude... but also don't say yes if you're not going to go-Bringing back letter writing-One of Team Happy Place reckoning Harry Hill is fit* *watch the Stewart Lee episode of Harry Hill's podcast on Spotify to see the moment in question Hosted on Acast. See acast.com/privacy for more information.

On today's episode of Turtle Time - "On Apology Beach" - we discuss Bethenny Frankel meeting up with Ramona Singer and Sonja Morgan in Florida, Michelle Obama's Bravo love, and the RHOA teaser for the upcoming season. (00:00 - 23:10) And then we break down our favorite moments from Part 1 of the Real Housewives of Potomac season 10 reunion. (23:10) After that, we rip into this week's episode of Summer House - season 10, episode 3 - "I Went to Apology Beach and All I Got Was This Lousy Apology" and dissect every aspect of it. (39:10) And then finally with our remaining energy, we briefly discuss this week's episode of Vanderpump Rules - season 12 episode 11 - "Paint a Date". (01:28:20) If you enjoyed this episode and need more Turtle Time in your life, join the ⁠Turtle Time Patreon⁠ and become a Villa Rosa VIP to hear exclusive bonus content! We're recapping the Vanderpump Rules series from the beginning each week and uncovering all of its secrets. And if you need even more Turtle Time in your life, follow us on ⁠⁠TikTok⁠⁠ or ⁠⁠Instagram⁠⁠. And please, if you want to watch some of the fun things we do, subscribe on YouTube. Learn more about your ad choices. Visit megaphone.fm/adchoices

home profit Make Your Home Work Harder (Profit + Remodel Strategy) | Episode 589 Hey, it's James from SurvivalPunk.com. It's 39 degrees, and today we're talking about making your home work harder. This one's twofold. Part one: remodeling strategically in a broken housing market.Part two: turning your house from a pure expense into something that actually produces. The housing market sucks right now. That's just reality. But that doesn't mean you're powerless. The Housing Market Is Skewed — Use That Starter homes are struggling. Lower-tier houses are sitting. But higher-end houses? Selling like crazy. Million-dollar homes are moving because people with that kind of money don't care about rates the same way. That skews the data. People see $400k homes selling and assume everything is hot — but that doesn't help someone trying to get into their first house. If you're buying right now, one strategy is simple: buy under your ceiling. Know your range. Don't stretch yourself to death. Look at homes that need a little TLC. Cosmetic stuff. Cabinets. Paint. Fixtures. Appliances. Flooring. Those are solvable. Over time, you remodel intelligently and build equity yourself. If you're already in a house, the same concept applies. Pick one room at a time. Kitchen. Bathroom. Flooring. Do it in phases. At the end? You either: Have a fully remodeled home you love Or you sell at a higher value and move up But your strategy matters. If your goal is resale, you remodel based on trends — not your personal taste. Sage green cabinets? Trendy. I hate them. Doesn't matter. If the goal is ROI, you follow market taste. Black kitchens? Also trendy. Not my thing. If it's your forever home? Then build for you. Two totally different goals. Yard = Wasted Opportunity Most people see yard work as a chore. Leaves? Trash.Rainwater runoff? Waste.Space? Decorative. Wrong mindset. Leaves are free compost input. Not just your leaves — your neighbors' leaves too. Compost them down and: Stop buying compost Sell compost Sell compost tea Turn a waste stream into revenue You're literally converting trash into product. That's how you make a home work harder. Gardening Isn't Just Food — It's Leverage Growing your own vegetables reduces grocery bills. But microgreens? That's a business. The profit margins on microgreens are insane if you run it correctly. Small greenhouse. Controlled setup. Scalable. You need to run the numbers. But the ceiling is there. Even if you don't sell: Growing salads = not buying salads Growing vegetables = not buying vegetables Saving seeds = compounding future production If you're watering plants with rainwater you collected off your own roof, from seeds you saved from food you grew? You're basically printing your own money at that point. Water Runoff Is Money Going Down the Drain Rain barrels and cisterns are underrated. Every time it rains, your roof is producing water. Most people just let it run off. Collect it. Use it for: Gardening Lawn irrigation Emergency supply Water bills are going up. Ours doubled recently. It's still affordable, but it won't always be. Reducing dependency now is smart. Indoor Production: Mushrooms and Niche Products Growing mushrooms indoors is exploding. Lion's Mane. Reishi. Specialty varieties. The science on mushroom benefits is still unfolding, but the demand is real — and they're expensive to buy retail. If you're already spending money on them, growing them yourself cuts cost massively. Get good at it? Sell excess. There are tons of small indoor side hustles you can start from your home. Some are simple. Some are more technical. The common thread: Reduce retail markup. If you can make something yourself that normally carries huge markup — that's leverage. There's nothing wrong with profit. But there is a line between fair markup and straight-up exploitation. If you can eliminate the middle layer, your cost drops dramatically. That's power. Remodel vs Production — Pick Your Angle Your home can: Build equity through smart remodeling Reduce expenses through production Generate income through niche products Or do all three Most people treat their house as: Mortgage.Utilities.Expense. That's it. But if you treat it like a tool — like an asset that works — it changes the math. Final Thoughts The housing market might be rough. Interest rates might suck. Starter homes might be overpriced. But you still control: What you buy How you improve it What you produce from it What you stop paying retail for Make your home work harder. This is James from SurvivalPunk.com.DIY to survive. Amazon Item OF The Day VEVOR Collapsible Rain Barrel, 100 Gallon/380 L Portable Water Tank, PVC Rainwater Collection Barrel with Spigots and Overflow Kit, Water Barrel for Garden Water Catcher Think this post was worth 20 cents? Consider joining The Survivalpunk Army and get access to exclusive content and discounts! Don't forget to join in on the road to 1k! Help James Survivalpunk Beat Couch Potato Mike to 1k subscribers on Youtube Want To help make sure there is a podcast Each and every week? Join us on Patreon Subscribe to the Survival Punk Survival Podcast. The most electrifying podcast on survival entertainment. Itunes Pandora RSS Spotify Like this post? Consider signing up for my email list here > Subscribe Join Our Exciting Facebook Group and get involved Survival Punk Punk's The post Make Your Home Work Harder | Episode 589 appeared first on Survivalpunk.

Dr Randa Abdel-Fattah will headline the Sydney Writers Festival; Gisèle Pelicot's memoir has been released in 22 languages worldwide; An un-redacted email amongst the latest release of Epstein files shows the convicted sex offender doesn’t dispute that Prince Andrew had sex with then teenager Virginia Guiffre; US President Donald Trump is finally getting his wish to repaint his official executive air fleet after he was told in 2016 that he couldn’t; Stephen Colbert says the network's lawyers barred him from airing an interview with an Democratic Texas State Representative THE END BITS Support independent women's media Check out The Quicky Instagram here GET IN TOUCHShare your story, feedback, or dilemma! Send us a voice note or email us at thequicky@mamamia.com.au CREDITS Host: Gemma Donahoe Audio Producer: Lu Hill Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

ANTIC Episode 125 - "Combining SQL with Fun (and Poo)" In this episode of ANTIC The Atari 8-Bit Computer Podcast… Wade Ripkowski comes onto the show and gives us an update on his work to bring SQL to the Atari (and an extremely useful poo management tool!), we cover good news concerning the Curt Vendel Atari collection, we report on an exciting updated browser-based emulator, a huge update to AspeQT, and a whole lot more!! READY! Recurring Links  Floppy Days Podcast  AtariArchives.org  AtariMagazines.com  Kay's Book "Terrible Nerd"  New Atari books scans at archive.org  ANTIC feedback at AtariAge  Atari interview discussion thread on AtariAge  Interview index: here  ANTIC Facebook Page  AHCS  Eaten By a Grue  Next Without For  What we've been up to cubeSQL project blog post - https://unfinishedbitness.info/2026/02/01/atari-8-bit-sql/ Unfinished Bitness - https://unfinishedbitness.info Wade's A8 C Library - https://unfinishedbitness.info/c-library/ cubeSQL - https://sqlabs.com/cubesql FujiNet - https://fujinet.online/ CubeDot - https://unfinishedbitness.info/cubedot/ Fuji Do - https://unfinishedbitness.info/fuji-do/ Fuji Poo - https://unfinishedbitness.info/fuji-poo/ Dr. Love - https://unfinishedbitness.info/dr-love/ video demo of CubeDot - https://vimeo.com/1165039670 video demo of Fuji Do - https://vimeo.com/1165038947 Mr. Paint - https://unfinishedbitness.info/mr-paint/ King PONG How Atari Bounced Across Markets to Make Millions - https://mitpress.mit.edu/9780262051330/king-pong/  Atari newsletter time capsule 1987-08: https://archive.org/details/antc_Atari_newsletter_time_capsule_1987-08  The Strong museum - https://www.museumofplay.org/  FujiNet Application Ideas - https://github.com/FujiNetWIFI/fujinet-firmware/wiki/Application-Ideas  Smith Corona Messenger Module and Smith Corona Ultrasonic 450 typewriter -  https://typewriterdatabase.com/1983-smith-corona-ultrasonic.2181.typewriter  prototype of Atari chapter for Quick Reference Book - https://floppydaysqr.my.canva.site/  New & Updated Games Inufuto Game Cartridge - posted by Philsan: https://forums.atariage.com/topic/331824-inufuto-does-atari-8-bit/page/5/#comment-5783007  https://www.atarimania.com/list_games_atari-400-800-xl-xe-inufuto_developer_3171_8_G.html  FujiNet Midimaze mode now stable by Mozzwald - https://forums.atariage.com/topic/387536-midimaze-mode-now-stable/  New & Updated non-Game Software A8E (Atari 800 XL Emulator) - By AnimaInCorpore: https://forums.atariage.com/topic/388191-a8e-atari-800-xl-emulator-v100/  Source - https://github.com/AnimaInCorpore/A8E  Browser demo - https://jsa8e.anides.de/  Atari800-AI - Benj Edwards - https://github.com/benj-edwards/atari800-ai  Update to mkatr (including lsatr) tools from dmsc - https://github.com/dmsc/mkatr/releases/tag/v1.4   AspeQt-2k26 - John Paul Jones: https://github.com/pjones1063/AspeQt-2k26  https://forums.atariage.com/topic/387630-wip-aspeqt-2k26-resurrecting-aspeqt-with-qt6-high-dpi-wi-fi-modems/  https://forums.atariage.com/topic/388105-%F0%9F%9A%80-aspeqt-2k26-dev-update-the-thin-client-concept-introducing-the-w-device-and-clipboard-y-device/  Publications BASIC Fun on Your A400 Mini: BASIC for real hardware and emulators too!  By John McGinnis - https://www.amazon.com/BASIC-Fun-Your-A400-Mini/dp/B0G1YGJ2P7  Atari Insights February 2026: Newsletters - https://ataribasics.com/newsletter-hub/  YouTube channel - https://www.youtube.com/@AtariBasics  February, 2026 Issue of Compute's Gazette - https://www.computesgazette.com  ABBUC Magazine 163 released - https://www.abbuc.de  Pro(c) gone; last issue #15 - web site updated May 2025 - https://web.archive.org/web/20250404175246/https://proc-atari.de/ New & Updated Hardware  5200XEGS - Making your Classic Super Game Console into an 8-Bit Computer - mytek - https://forums.atariage.com/topic/387340-5200xegs-making-your-classic-super-game-console-into-an-8-bit-computer/  Contests High Score Club active for 2026 (season 23) - https://forums.atariage.com/topic/387353-hsc-season-23-jan-2026-welcome-and-game-list-thread/  ABBUC Creative Competition 2026 has been launched - https://forums.atariage.com/topic/387746-abbuc-creative-competition-2026-has-been-launched/  ABBUC Application Software Competition 2026 has been launched - https://forums.atariage.com/topic/387745-abbuc-application-software-competition-2026-has-been-launched/  ABBUC Game Software Competition 2026 has been launched - https://forums.atariage.com/topic/387744-abbuc-software-competition-2026-has-been-launched/  ABBUC Hardware Competition 2026 has been launched - https://forums.atariage.com/topic/387737-abbuc-hardware-competition-2026-has-been-launched/   Other Byte magazine cover illustrator has passed away. https://tinney.net/in-memoriam  Strong museum announces the acquisition of the Curt Vendel Atari Collection - https://www.museumofplay.org/press-release/the-strong-national-museum-of-play-acquires-atari-home-computer-and-console-division-collection/  Atari Hotel news - https://www.casino.org/vitalvegas/atari-hotel-that-was-never-happening-makes-headlines-for-not-happening/  Upcoming Shows (thru May, 2026) Indy Classic Computer and Video Game Expo - March 20-22 - Wyndham Indianapolis Airport Hotel, Indianapolis, IN - https://indyclassic.org/  Atari Invasion 2k26 (10th Anniversary) - March 21 - Maarssen, Netherlands - https://www.atari-invasion.nl  VCF East - April 17-19 2026 - InfoAge Science and History Museums, Wall, NJ - https://vcfed.org/events/vintage-computer-festival-east/  Midwest Gaming Classic - April 24-26 - Baird Center, Milwaukee, WI - https://www.midwestgamingclassic.com/  VCF Europe - May 1-3 - Munich, Germany - https://vcfe.org/E/  Vintage Computer Festival Pacific Northwest 2026 - May 2-3 - Tukwila Community Center, South Tukwila, WA -  https://vcfpnw.org  VCF Southwest - May 29-31, 2026 - Westin Dallas Ft. Worth Airport - https://www.vcfsw.org/  Retrofest 2026 - May 30-31 - Steam Museum of the Great Western Railway, Swindon, UK - https://retrofest.uk/   YouTube Videos Atari 130XE gets new ACID Stereo board (with new U1MB plugin), Decent XE keyboard, and more upgrades - FlashJazzCat - https://www.youtube.com/watch?v=XRjy-0AB_90  Using FujiNet NOS with SD Card - Thom Cherryhomes - https://youtu.be/G0gXB3Z4Nmc  Feedback Beat The Beatles — "It May Be The First Video Game About The Beatles" - Before Rock Band, There Was Beat the Beatles - https://www.timeextension.com/news/2025/11/random-it-may-be-the-first-video-game-about-the-beatles-before-rock-band-there-was-beat-the-beatles  Wade Ripkowski Contact Information https://inverseatascii.info/ https://unfinishedbitness.info/ Mastodon @inverseatascii@techhub.social Email: inverseatascii@icloud.com   

Joel Bardall and Todd Von Joel look into the production process of paint, find out what makes paint cost what it does, some of the innovation, research and development and what the future holds for many paints and finishes. Guests: Jon Mears (Teknos) & Peter Howard (Akzonobel)

VP S6 Ep 294: PAINT FLOWERS! The Junk Journal Podcast! The Paper Outpost Podcast! The Joy of Junk Journals! Free to Listen Anytime! Every Tuesday & Thursday! Topics: Junk Journals, Paper Crafting, life of a crafter, answering crafty questions! Come have a listen on Apple Podcast, Spotify, Google Podcast or go to https://anchor.fm/the-paper-outpost Also check out my Video Podcasts on M,W, F, S, S on Spotify! :) You can make your own Podcast! It's easy at Anchor: Here is how!: anch.co/outpost Grab a FUNDLE! Now available in my Etsy Shop!: 100 pieces! A mix of antique/vintage ledger pages, hand-dyed papers, old postcards, tea cards, handwritten paper, awesome vintage book pages and so much more! Wonderful to use in your junk journal creations! Free Priority Shipping in the USA! :) Limited supply! :) See a Fundle Video!:) https://youtu.be/KJnWd9RSpOQ Buy a Fundle! :) Etsy Shop: https://www.etsy.com/listing/1007331616/antique-vintage-ephemera-paper?ref=shop_home_active_6&frs=1&crt=1 VINTAGE DIGIKITS! Amazing images to download & print out at home on your printer!: Etsy Shop: https://www.etsy.com/shop/ThePaperOutpost PRINT & MAIL Option for Vintage Digikits! :) I heard your call :) No Printer? No Problem! :) I will print & mail 10 Digikits to you! Free Priority Shipping in the USA! :) 1. Select 10 names of digikits, & send me the list via Etsy message or email to pam@thepaperoutpost.com or simply say "Surprise me!" :) 2. Then buy the Print & Mail Digikit option in my Etsy shop! :) Direct Link to Buy here: https://www.etsy.com/listing/1071078687/printed-mailed-digikits-no-printer?ref=shop_home_active_1&frs=1&crt=1 That's 50 Pages total on lightweight cardstock! See All My Digikits! https://www.etsy.com/shop/ThePaperOutpost Sincerely, Pam at The Paper Outpost :)!! I am currently buried in paper and covered in glue ;) Remember that Fun Can Be Simple! Go Forth and Create with Reckless Abandon! :) MY AMAZON STORE!: My Personal Favorite Products & Tools!: Click here to see all my items in one click with pictures in my Amazon Store! https://www.amazon.com/shop/thepaperoutpost NEWSLETTER!: Free Monthly Emailed Newsletter from The Paper Outpost! Sign Up here: https://bit.ly/paperoutpostnewsletter - Free Monthly Digital Printable! - Free The Note From The Book Maker explaining what a junk journal is and how to use it! - Free Page List of Ideas for Junk Journals! - Free Checklist of Junk Journal Supplies! - Junk Journal Tips & Updates from Pam at The Paper Outpost! COME FIND ME AT :) All My Links: https://linktr.ee/thepaperoutpost ETSY Shop: https://www.thepaperoutpost.com ETSY Shop: https://www.etsy.com/shop/ThePaperOutpost YOUTUBE: https://www.youtube.com/ThePaperOutpost NEWSLETTER: https://bit.ly/paperoutpostnewsletter INSTAGRAM: https://www.instagram.com/thepaperoutpost FACEBOOK: https://www.facebook.com/ThePaperOutpost The Paper Outpost FACEBOOK GROUP: https://www.facebook.com/ThePaperOutpost/ THE PAPER OUTPOST PODCAST: The Joy of Junk Journals!: https://anchor.fm/the-paper-outpost AMAZON STORE: https://www.amazon.com/shop/thepaperoutpost PINTEREST: https://www.pinterest.com/thepaperoutpost TWITTER: https://twitter.com/thepaperoutpost MERCHANDISE STORE!: https://the-paper-outpost-2.creator-spring.com/ #thepaperoutpost #paperoutpost #thepaperoutpostpodcast #digikits #junkjournal #junkjournals #howtomakeajunkjournal #junkjournalpodcast #thejoyofjunkjournals #fundle #thejunkjournalpodcast

We just got back from a packed Disneyland trip over Super Bowl weekend… and somehow ended up there for Disney California Adventure's 25th anniversary.In this episode, we break down:• The $5 million popcorn cart at Magic Kingdom• Staying at Pixar Place Hotel for the first time• Rope-dropping Indiana Jones and dominating Fantasyland• Why mobile ordering saved us HOURS on the 25th anniversary popcorn bucket• Getting absolutely drenched in the FRONT ROW of Tiana's Bayou Adventure• Letting our older boys babysit so we could ride together• Paint the Night vs. Disney World parades (yes… we said it

Comedy on a Sunday First,  a look at this day in History.Then, Lux Radio Theater,  originally broadcast February 15, 1937, 89 years ago, Brewsters Millions starring Jack Benny and Mary Livingston.   The story of the man forced to spend $1,000,000 to inherit more.Followed by You Bet Your Life starring Groucho Marx, originally broadcast February 15, 1950, 76 years ago, The Secret Word is Sugar. Then, George Burns and Gracie Allen, originally broadcast February 15, 1944, 82 years ago, Fred Astaire Drives George Crazy.  Guest Fred Astaire is practicing and looking for a new dance partner...which is driving George insane!Finally,  Fibber Mcgee and Molly, originally broadcast February 15, 1955, 71 years ago, McGee Arranges to Paint a House.  Thanks to Richard G for supporting our podcast by using the Buy Me a Coffee function at http://classicradio.streamCheck out Professor Bees Digestive Aid at profbees.com and use my promo code WYATT to save 10% when you order! Find the Family Fallout Shelter Booklet Here: https://www.survivorlibrary.com/library/the_family_fallout_shelter_1959.pdfhttps://wardomatic.blogspot.com/2006/11/fallout-shelter-handbook-1962.html

In this episode of Home in Progress, sponsored by RepcoLite Paints and Benjamin Moore, Dan Hansen kicks things off with a sincere thank-you to listeners and a reminder that the show is always available as a podcast—perfect for catching up anytime.Then comes the embarrassing voicemail fiasco.What starts as a cringe-worthy personal story quickly turns into a surprisingly helpful lesson about home improvement: slow down, think things through, and don't let small mistakes snowball into bigger problems. Dan breaks down how missteps—whether in communication or remodeling—can derail projects, and how a little preparation can save time, money, and frustration.From there, the episode tackles a common household pain point: the laundry room. Why does it become chaotic so easily? Dan explores how workflow design, sorting systems, and simple layout adjustments can dramatically improve efficiency. Whether you're managing laundry for one person or a busy household, he shares practical strategies to prevent bottlenecks and keep the process moving.You'll also hear advice on restoring rusty outdoor metal furniture—what to scrape, what to prime, and how to protect it properly—plus a lighthearted round of Valentine's Day trivia to wrap things up.Practical. Relatable. A little embarrassing. And packed with usable advice.Episode Breakdown00:00 Welcome & Show Introduction 00:46 Listener Questions & What's Ahead 01:31 The Voicemail Disaster 04:34 Lessons Learned: Avoiding Project Pitfalls 06:11 Staying on Track with Home Improvements 13:49 How to Paint & Protect Rusty Metal Furniture 18:27 Why Laundry Rooms Become Chaotic 23:08 Designing an Efficient Laundry Workflow 27:50 Sorting Systems That Actually Work 33:45 Smart Laundry Room Organization Tips 37:06 Valentine's Day Trivia

Mike is back (recording this show within hours of landing from Disneyland) to recap his 2026 Disneyland Half-Marathon trip! He will discuss traveling to LAX, staying at the Howard-Johnson Hotel & Water Playground, running the 5K, 10K & Half-Marathon as part of the Dumbo Double Dare and Coast-to-Coast Challenge! Also, hear about great food at Blue Bayou, Tiana's Palace, and more! Mike also gives his review of Paint the Night, using Lightning Lanes at Disneyland and much more! We hope you can continue the conversation with us this week in the Be Our Guest Podcast Clubhouse at www.beourguestpodcast.com/clubhouse! Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!

Today, we'll talk about how the monumental Daoist murals of Yongle Palace, which were created amid war, transformed Chinese religious art, and later survived an unprecedented relocation to become one of China's greatest cultural treasures.

Send a textJoin Drake and Marie as they explore how to write interiority using a 12 layer model. We go over everything from showing, to telling, to worldview and more! Writer's room (50% off for lifetime membership): https://writersroom.mn.co/plans/338439?bundle_token=196fd3965307a65eee0d1bf2bc6fa5a6&utm_source=manualMembership for Just In Time Worlds: https://www.youtube.com/channel/UCxvBH0EkwuHsQ9ryHHQNi2Q/joinGive us feedback at releasingyourinnerdragon(at)gmail(dot)comDiscord: https://discord.gg/vMrmBsF5fhMagicfall: http://magicfallnovel.com/ReleasingYourInnerDragon@gmail.comDrake's Contact Details:Starving Writer Studio: https://www.starvingwriterstudio.com/Drake-U: https://class.drakeu.com/  - Use RYID25 for 25% off!Writer's Room: https://writersroom.mn.co/Scavenger hunt: https://www.starvingwriterstudio.com/scavenger-huntMarie's contact details:Books: https://mariemullany.com/booksJust In Time Worlds: https://www.youtube.com/c/JustInTimeWorlds?sub_confirmation=1

Today is a mashup of holidays! For our first stop, we're Pulling Up and Painting with the Hilarious Homies and Art by Monet, celebrating Valentine's Day at The Patton House & Gallery in Jackson Friday the 13th, before we let the good times roll in Louisiana at the 13th Annual Baton Rouge Mardi Gras Festival, Saturday, February 14th! And of course, we'll check out what's happening around your neck of the woods! Stay tuned, buckle up and hold on tight for your Next Stop, Mississippi!"What's Happening Around Your Neck of the Woods" Event Listing:61st Annual Dixie National RodeoMardi Gras Valentines Weekend with the Dean King BandMeet Cute: Valentine's Day Speed Dating at Novel14th Annual Carnaval de Mardi Gras and Gumbo Cook-OffSouthern Soul ValentineMKOTSH Lundi Gras Golf Cart ParadeHistory Is Lunch: Kamel King in conversation with Dexter Allen, "Jacktown: The Sound of Soul, Grit, and Legacy"Watch this episode on MPB's YouTube Channel: Next Stop, Mississippi-Pull Up & Paint (Art By Monet & The Hilarious Homies)& Baton Rouge Mardi Gras Hosted on Acast. See acast.com/privacy for more information.

Theme Park live entertainment is a sector that's only continuing to grow at your favorite parks. From musical acts to "streetmosphere" characters, the idea of "Live E" as it's known to many is becoming a mainstay in the industry, especially post-Covid. This week, we're joined by one of the intellectual forces behind some of your favorite theme park shows over the year, Justin Mabry of JM Entertainment. With springtime shows like "Brew Beatz" and "Stick(y) Paint" to fall and winter work like "Blade Drummers" and "Four Drummers Drumming," the JM Entertainment team is behind some of your favorite theme park shows, even if you didn't realize it. We talk the creation of theme park shows, what it's like to work with a park on a specific show, and the challenges of opening a show at sea - which JM Entertainment has done recently for Norwegian Cruise Line! (A bonus! For 176 episodes, we've had the same theme song for our podcast - masterfully created by the team at JM Entertainment. Justin and team were kind enough to refresh the song and bring it into 2026!)You can connect with the show by hitting us up on social media @Coaster101: Facebook  |  Twitter  |  Instagram. We also have a website, if you're into that sort of thing: www.coaster101.comAlso, be sure to subscribe to the podcast so you don't miss an episode! And please give us a rating and review wherever you listen, it helps new listeners find us!Find the latest and greatest Coaster101 and theme park-inspired merch at coaster101.com/merchThanks to JM Entertainment for providing our theme song. For more on them, check out jmmusicdesign.com.

Paint on your tightest pair of shorts, campers - cause Kill By Kill revisit of the Jason's rampage is back, and we're fully encamped inside 1981's FRIDAY THE 13th PART 2! From the humble origins of “Angie's List” to a terrifying visit to Jason's retro forest retreat, it's our most revealing show yet. We're mourning the loss of local law enforcement's Deputy Winslow, Scott, the thirsty-as-hell preppy, and finally, Terri - a woman with no real clothes or object permanence. Then get caught in the noose of an all-new edition of Choose Your Own Deathventure! Feel the flush of excitement by downloading today. Part of the BLEAV Network.Get even more episodes exclusively on Patreon! Artwork by Josh Hollis: joshhollis.com Kill By Kill theme by Revenge Body. For the full-length version and more great music, head to revengebodymemphis.bandcamp.com today!Join the new Discord Server Convo here! Our linker.ee Click here to visit our Dashery/TeePublic shop for killer merch! Join the conversation about any episode on the Facebook Group! Follow us on IG @killbykillpodcast!! Join us on Threads or even Bluesky Check out Gena's newsletter on Ghost!! Check out the films we've covered & what might come soon on Letterboxd! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The investigation goes into high gear with the discovery of the murder weapon. This episode was originally published on November 16, 2021. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Creepy Crawlers & Handy Havoc: When Robot Hands Go Rogue.  Remembering Reality: Remarkable Specs Supporting Senile Sight.  Stitched by Software: When Algorithms Enter the Atelier.  Swallow, Signal, Succeed: MIT's Smart Pill Solves the Silent Slip-Up.  Bin There, Seen That: AI Eyes Take on Britain's Rubbish Rebels.  Paint, Perfume and Predictions: AI Accelerates the Assembly Line.  Mind Over Matter: Mapping Movement with Mental Muscle.  Coworker Code: Claude's Self-Building Bot Breaks the Boss Barrier.  Bizarre Beats and Bonkers Bows: Music's Maddest Machines of 2026. 

In this segment, we discuss "MEK MAGNET Removable Trail Armor," a fantastic solution for **paint protection** for your Jeep. We also provide a **quick installation guide** for this **magnetic armor**, making it simple to apply. This **jeep armor** is a must-have for any **jeep wrangler** owner looking to safeguard their vehicle. Hi there, Jeep fam!

In this episode of Home in Progress, sponsored by RepcoLite Paints and Benjamin Moore, Dan Hansen opens with a lighthearted (and slightly embarrassing) personal story that sets the tone for a thoughtful, practical conversation about our homes—and the stuff we fill them with.The episode then moves into a deeper look at memory management: how to deal with boxes of kids' artwork, baby clothes, photos, and other sentimental items without letting them quietly take over your house. Dan shares realistic, guilt-free strategies for deciding what to keep, what to let go, and how to preserve memories without drowning in clutter.From there, the focus shifts to Paint 101, breaking down how different paint products are designed for different jobs—and why understanding the “superpower” of each paint can make projects easier, faster, and better looking. Dan also tackles common frustrations people have when learning paint techniques, reminding listeners that confidence comes with understanding, not perfection.The episode wraps up with a Winter Wood Shop segment featuring the card scraper—a simple but powerful tool for wood finishing that often gets overlooked. Dan explains what it does, why it works, and how to use it properly.Blending humor, practical advice, and expert insight, this episode encourages listeners to take control of their spaces—both emotionally and physically—one manageable project at a time.Episode Timeline00:00 – Introduction & an embarrassing moment in church05:32 – Memory Management: why “stuff” becomes overwhelming06:09 – Paint 101: understanding what paint is actually designed to do06:42 – Winter Wood Shop: the underrated power of the card scraper18:41 – Choosing the right paint for every room19:12 – Personal paint advice and real-world lessons19:57 – Why learning paint techniques feels harder than it should21:43 – Paint finishes explained—and why they matter23:29 – Why paint quality makes a real difference25:33 – Matching paint products to real-life rooms31:08 – Organizing kids' artwork and memorabilia35:20 – Dealing with sentimental items without guilt38:46 – The challenge: start organizing today39:35 – Final thoughts and wrap-up

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

Betsy shares her summer plans and answers listener questions about painting ceilings and bedroom layouts. She discusses closet doors and vertical furnishings, announces a new YouTube channel, and invites listeners to submit questions before her maternity leave. Timestamps: 00:00 Premium membership announcement 01:31 Betsy discusses her summer plans 06:40 Alana's question about painting ceilings 08:37 Betsy's advice on ceiling painting 14:33 Jennifer's question about her daughter's bedroom layout 18:57 Betsy's advice on closet doors and vertical furnishings 24:31 Announcement of new YouTube channel and social media links - You don't need a high-end designer or a lot of money to achieve a luxurious look in your home. - In small rooms, don't hesitate to block windows with furniture if it maximizes space and functionality. - Using vertical furnishings and strategic placement like diagonal arrangements can help a room feel less cluttered and more visually dynamic. Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Uploft.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AffordableInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Submit your design questions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to be featured on the show ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Become a Premium Member⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and access the bonus episodes Click ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to become an interior designer with Uploft's Interior Design Academy. Get Betsy's book: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠betsyhelmuth.com/book⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For more about our residential interior design services, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ModernInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For our commercial interior design services, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠OfficeInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Us: Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@uploftinteriordesign⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/UploftIntDes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@uploftinteriordesign⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/uploft-interior-design⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you enjoy the show, please spread the word and leave a review on iTunes! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode 514 / Michael BrennanMichael Brennan (b. 1965, Pine Island, FL; lives Brooklyn, NY) has exhibited his paintings and works on paper nationally and internationally for the past three decades, including in the United States, Mexico, Belgium, France, Germany, Italy, China, Australia, and New Zealand.  Here at the gallery, he previously mounted four very well-received solo exhibitions – Floating Weeds (2023), Late Spring (2018), Grey Razor Paintings (2014), and Knife Paintings (2006) – and has participated in numerous group exhibitions including our major survey exhibition MINUS SPACE at MoMA PS1 in 2008-2009 and Twenty (2023).Brennan's work have been reviewed in publications including The New York Times, Art in America, ARTnews, Art New England, The Brooklyn Rail, ArtNet Magazine, NY Arts, and Philadelphia Inquirer. He is also an accomplished arts writer, and his reviews and essays have been published in The Brooklyn Rail, ArtNet Magazine, Two Coats of Paint, The Village Voice, The Architect's Newspaper, American Abstract Artists, and Archives of American Art/Smithsonian Institution, as well as in numerous exhibition catalogues.Brennan's work is included in collections such as the Baltimore Museum of Art, National Gallery of Art, San Francisco Museum of Modern Art, San Jose Museum of Art, American Express, General Dynamics, Daimler AG, and Sony Corporation. He holds an MFA in Painting and an MS in Art History from Pratt Institute and a BA in Classics from the University of Florida. He has taught at Pratt Institute since 1998 and is currently Adjunct Professor in the Fine Arts Department. He has also previously taught at the School of Visual Arts, Hunter College, and Cooper Union (all NYC).  

Are you carrying the culture, energy and emotional weight of your studio by yourself? Many owners feel frustrated that hourly employees don't seem truly committed to the business.  Alina Cooper has you covered in Episode 706: Beyond the Paycheck: How to Turn Hourly Staff into Engaged Team Members, where she highlights five ways to get your team invested.  Promote purpose: show how work directly impacts clients and the business Recognize & reward: specifically acknowledge and celebrate great work   Invite accountability: give staff a voice, request feedback and act on input Let them level up: create micro-growth opportunities that build skills and confidence  Paint the big picture: share goals, wins and challenges to facilitate ownership It's not just about money. Fair play is the floor—not the ceiling—on motivation. Connecting and valuing staff moves them beyond just clocking in and out. Get intentional with Episode 706.  Catch you there, Lise   PS: Join 2,000+ studio owners who've decided to take control of their studio business and build their freedom empire. Subscribe HERE and join the party! www.studiogrow.co www.linkedin.com/company/studio-growco/  

The Alan Cox ShowSee omnystudio.com/listener for privacy information.

The Alan Cox Show

Join our next BoldBrush LIVE! Webinar by signing up here:register.boldbrush.com/live-guestLearn the magic of marketing  with us here at BoldBrush!boldbrushshow.comGet over 50% off your first year on your artist website with FASO:FASO.com/podcast---For today's episode, we sat down with Stephanie Marzella, a painter living in Charleston, South Carolina, with a preference for painting intimate landscapes that pull the viewer into the scene as well as big sky landscapes that provide an escape to peace and tranquility. Stephanie discusses her artistic journey, emphasizing discipline and perseverance. She tells us how she transitioned from textile design to oil painting, and how she was influenced by the American tonalists. Stephanie highlights the importance of having a cohesive body of work, having the courage to paint what you want, and suggests making strategic moves if possible; In her case, she moved to Charleston for better artistic opportunities. She shares her experiences with social media, galleries, and the challenges of being an artist, including financial struggles and the need for a supportive environment. She stresses the significance of emotional connection in her work and the joy of seeing her paintings evoke strong reactions in viewers and discusses her spiritual approach to painting, emphasizing the emotional connection between her work and the viewer, which she believes completes the artistic process. Finally, Stephanie lists her current and upcoming exhibitions, including shows at Reinhardt Fine Art, Ballards Fine Art, and the Southeastern Wildlife Expo.Stephanie's FASO site:stephaniemarzella.com/Stephanie's Social Media:instagram.com/stephaniemarzella/facebook.com/stephanie.marzella.5

In the News NASA is Delaying its Next Major Moon Mission Tesla Shifts From Cars to Chips Comcast is Implementing a Bold New Strategy Google Launches Free SAT Practice Tests For Students Via Gemini: Microsoft Rolls Out New Windows 11 Features for Paint and Notepad Apple is Rolling Out New Version of its  AirTag Meta Plans to Test New Subscriptions PSA Warning Parents of AI Toys Cloud Storage Payment Scams and Fake Renewal Warnings ASML Holding (ASML) Plans to Cut about 1,700 jobs, France Fires First Shot in Europe's Tech Sovereignty Fight   ITPro Series with Benjamin Rockwell The Myth of the ‘Simple' Tech Problem From the Tech Corner AI's Insatiable Need for Cash Data Centers are Facing Widespread Public Backlash Nvidia's $100 Billion OpenAI Deal Hits the Brakes Technology Chatter with Benjamin Rockwell and Mark Brownstein TT Nature Smart Bird Feeder

Ennis property owners will have an opportunity to apply for a minor refurbishment scheme from today. The Ennis Architechtural Conservation Area Streetscape Enhancement Scheme will see up to €1,000 made available to businesses and homeowners in the town centre and its environs to upgrade their buildings. The scheme has a total fund of €424,000 and applications can be submitted to the local authority up to February 27th. Ennis Fianna Fáil Councillor Clare Colleran Molloy says it's essential people apply early.

In this mini episode, we read listener submitted stories about a camper whose casual drive became a public takedown, a camper who really put a skid-mark on Highway 94, and a tale of a witch and her turkey sandwich.Get your tickets to see Zachariah Porter's new Live Comedy Tour!Want BONUS CONTENT? Join our PATREON!SPONSORS➜ Talk it out, with BetterHelp. Our listeners get 10% off their first month at BetterHelp.com/CAMP➜ Tear. Pour. Live more. Go to LiquidIV.com and use code CAMP at checkout to get 20% off your first order.Check out our website and submit your inquiries for advice, juicy gossip, confessions, and horror stories!Camp Songs: Spotify Playlist | YouTube Playlist | Sammich's Secret MixtapeSocial Media:Camp Counselors TikTokCamp Counselors InstagramCamp Counselors FacebookCamp Counselors TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Go to www.LearningLeader.com for full show notes This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. My Guest: Dan Coyle is a New York Times bestselling author who's spent the last two decades studying what makes great teams great. He wrote The Talent Code, The Culture Code, and now Flourish—books that have shaped how millions of people think about skill development, team culture, and meaningful connection. He works with the Cleveland Guardians as a special advisor on culture and performance. We recorded this one together in Cleveland. Notes: Find your yellow doors. Most of us go through life looking for green doors (clearly open paths) and red doors (obviously closed paths). But yellow doors are different. They're out of the corner of your eye, things that make you uncomfortable or feel brand new. That's where life actually happens. We think life is a straight line from A to B to C, but it's not. Life isn't a game... It's complex, living, shifting. Yellow doors are opportunities to create meaningful connections and explore new paths. "Life deepens when we become aware of the yellow doors, the ones we glimpse out of the corner of our eye." The craft journey always involves getting simpler. Simple is not easy. The great ones have their craft to where there's a simplicity to it. In this world of clutter and noise, it's easy to want to compete with energy and speed, but the stuff that really resonates is quieter and simpler. Be a beginner again in something. With climbing, Dan's at the very bottom of the craft mountain. With writing, he's somewhere in the middle. It's fun to have a couple of zones in your life where you're a beginner. It's liberating, but it also develops empathy. Some stuff looks very simple, but isn't. Every good story has three elements. There's some desire (I want to get somewhere), there's some obstacle (this thing standing in my way), and there's some transformation on that journey. Teaching teaches you. Coaching Zoe's writing team helped Dan, and then Zoe ended up coaching Dan. It was never "let me transmit all my wisdom to my daughter." It was a rich two-way dialogue that helped both of them. Suffering together is powerful. Doing hard things together with other people, untangling things together (literally and figuratively), and being vulnerable together. That's culture code stuff. Whether it's skiing with your kids, seeing them fall and get back up, or being trapped underground like the Chilean miners. Behind every individual success is a community. Dan dedicates all his books to his wife, Jenny (except one). Growing up, he had this idea of individual success, individual greatness. But when you scratch one of those individual stories, what's revealed is a community of people. Jenny is the ecosystem that lets Dan do what he does. Going from writing project to writing project, hoping stuff works out, exploring... it's not efficient. It's not getting on the train to work and coming home at five o'clock. It's "I think I need to go to Russia" or "I need to dig into this." She's been more than a partner, an incredible teammate.  Great organizations aren't machines; they're rivers. The old model of leadership is the pilot of the boat, the person flipping levers who has all the answers. That's how most of us grew up thinking about leaders. But Indiana football, the SEALs, Pixar... when you get close to these organizations, they're not functioning like machines. Machines are controlled from the outside and produce predictable results. These organizations are more like energy channels that are exploring. They're like rivers. How do you make a river flow? Give it a horizon to flow toward (where are we going?), set up river banks (where we're not gonna go), but inside that space create energy and agency. Questions do that. Leaders who are good at lobbing questions in and then closing their mouth... that's the most powerful skill. Great teams have peer leaders who sacrifice. Since Indiana football's fresh in our minds... Peer leaders who sacrifice for the team are really big. Fernando Mendoza got smoked, battered, hammered, and he kept going without complaint. In his interview afterward, he talks about his teammates. That's the DNA of great teams. Adversity reveals everything. The litmus test: in moments of terrible adversity, what's the instinct? Are we turning toward each other or away from each other? You could see it in that game. The contrast between the two teams. When things went bad, they responded very differently. The coach isn't as important as you think. Coaches can create the conditions for the team to emerge, but great teams sometimes pit themselves against the coach. The US Olympic hockey team of 1980 would be an example. They came together against Herb Brooks. So coaching sets the tone, but it's not as big a part of DNA as people think. Curiosity keeps great teams from drinking their own Kool-Aid. The teams that consistently succeed don't get gassed up on their own stuff. They don't believe in their success. They're not buying into "now I'm at the top of the mountain, everything's fine." They get curious about that next mountain, curious about each other, curious about the situation. They're willing to let go of stuff that didn't work. Honor the departed. When someone gets traded in pro sports, it's like death. Their locker's empty like a gravestone. What the coach at OKC does: on the day after somebody gets traded, he spends a minute of practice expressing his appreciation for that person who's gone. How simple and human is that? How powerful? What makes people flourish is community. It's not a bunch of individuals that are individually together. Can they connect? Can they love their neighbor and support their neighbor? That's magical when it happens. The Chilean miners created civilization through rituals. 33 men, 2,000 feet underground, trapped for 69 days. The first couple hours went as bad as it could. People eating all the food, scrambling, yelling. Then they circled up and paused. The boss took off his helmet and said, "There are no bosses and no employees. We're all one here." Their attention shifted from terror and survival to the larger connection they had with each other. They self-organized. Built sleeping areas, rationed food, created games with limited light. Each meal they'd share a flake of tuna at the same time. When they got contact with the surface, they sang the Chilean national anthem together. They created a little model civilization that functioned incredibly well. Stopping and looking creates community. What let the miners flourish wasn't information or analysis. It was letting go. Having this moment of meaning, creating presence. All the groups Dan visited had this ability in all the busyness to stop and ask: What are we really about? What matters here? What is our community? Why are we here? What is bigger than us that we're connected to? They grounded themselves in those moments over and over. Getting smart only gets you so far. There's a myth in our culture that individuals can flourish. You see someone successful and think "that individual's flourishing." But underneath them, invisibly, they're part of a larger community. We only become our best through other people. We have a pronoun problem: I, me, when actually it's we and us. Self-improvement isn't as powerful as shared improvement. Ask energizing questions. "What's energizing you right now?" is a great question. "What do you want more of?" "What do you want to do differently?" (not "what are you doing poorly"). "Paint a picture five years from now, things go great, give me an average Tuesday." What you're trying to do is get people out of their narrow boredom, let go a little, surrender a little, open up and point out things in the corner of their eye. When things go rough, go help somebody. Craig Counsell on how to bounce back when you're having a bad day: "I try to go help somebody." That's it. Create presence conditions. The ski trips, the long drives, the shared meals, no phones. Schedule them. This is how connection happens, whether it's with your family or your people at work. Leaders who sustain excellence are intensely curious. Dan walked into the Guardians office expecting to pepper them with questions. The opposite happened. Jay, Chris, and Josh kept asking him question after question, wanting to learn. Leaders who sustain excellence have this desire to learn, improve, get better. Ask better questions. Actually listen. Ask follow-up questions. Curiosity is also the ultimate way to show love. Reflection Questions Dan says yellow doors are "out of the corner of your eye, things that make you uncomfortable or feel brand new." What's one yellow door you've been walking past lately? What's stopping you from opening it this week?The Chilean miners' boss took off his white helmet and said, "There are no bosses and no employees." Think about a moment of adversity your team is facing right now. Are you turning toward each other or away? What's one specific action you could take this week to help your team turn toward each other? Dan emphasizes we have a "pronoun problem" (I, me vs. we, us) and that "self-improvement isn't as powerful as shared improvement." Who are the 2-3 people you could invite into your growth journey right now? What would it look like to pursue excellence together instead of alone?

This episode of Alphas Make Sandwiches kicks off with Groundhog Day chaos, falling iguanas in Florida, and a deep dive into the strange tradition of “painting the town red,” tracing the phrase back to 19th-century British aristocrats and elite excess. The hosts share camera-roll challenges, night photography tips, and audience submissions before pivoting into U.S. history, including the founding of Rocky Mountain National Park, the Challenger and Columbia disasters, and a thought-provoking discussion on the constitutional consequences of the 13th Amendment's ratification. The conversation shifts to cultural commentary with reactions to awards-show spectacle, celebrity activism, and public expressions of faith, including Jelly Roll's acceptance speech. The panel also explores Victorian-era curse words, blasphemy laws, and creative alternatives to modern profanity, blending history with humor. Rounding out the show are hands-on segments featuring crystal-growing crafts, Super Bowl snack ideas, sourdough recipes, and Badlands community banter, making this episode equal parts cultural analysis, history lesson, and laid-back Monday hang.

Join hosts Steve Beres and Ike Goss in this episode of Underpowered Hour as they discuss Land Rover's surprising performance in the Dakar Rally, dissect the complexities of automotive paint, and share their thoughts on Range Rover's newest London-inspired editions. Whether you're a Land Rover enthusiast or keen on learning about vehicle paint processes, this episode is packed with insights and humor. Tune in as Steve and Ike navigate through a range of topics, from vintage restorations to modern luxury. Visit theberescollection.com and follow them on Instagram @theberescollection or @pangolin4x4 to stay updated on their adventures.00:00 Introduction and Hosts' Background01:19 Land Rover's Victory at Dakar Rally04:30 Discussion on Stock Class Racing07:22 Special Edition Range Rovers13:09 Land Rover's Custom Shop and Paint Innovations19:02 Introduction to Land Rover Paint19:40 Understanding Paint Preferences20:31 Challenges of Painting Vintage Land Rovers21:25 Restoration Shops and Reproduction Panels22:56 Aluminum and Paint Adhesion25:55 Matching and Maintaining Paint30:31 Paint Quality Over the Decades34:07 Evaluating Paint When Buying a Car42:10 Final Thoughts and Upcoming Events

Have you ever tried painting your partner?Fair warning… things get weird fast

durée : 00:03:03 - Net Plus Ultra - par : Julien Baldacchino - Ces derniers mois Microsoft a opéré un ravalement de façade complet de ces deux logiciels historiques inclus dans Windows avec, notamment, l'ajout de fonctions d'intelligence artificielle. Utile ? Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

The Valley didn't slow down while we were away. From a massive "Identity Win" for the Suns at the Mortgage Matchup Center to the Cardinals becoming one of the final two teams in the NFL without a head coach, Episode 632 of The Valley Verdict breaks down the structure and the chaos.In this episode:10:10 - The 2-Minute Warning: We recap a wild 5-game stretch in 120 seconds. We track the Suns' road-trip finale in Atlanta, the home return against Miami, and the "Next Man Up" thriller over Brooklyn. Plus, Mo Odum's 33-point heroics for ASU against Cincinnati and the tough road test at UCF.13:50 - Cardinals Coaching Carousel: - The McDermott Factor: Lorenzo Alexander (Bills/Cards) weighs in on Sean McDermott.The Dinner Date: Did Mike LaFleur just become the favorite? We discuss the reported dinner interview and the massive shift in betting odds.Under the Radar: Ron Rivera's "stealth" interview—what does the veteran presence mean?The Kubiak Question: Is Klint Kubiak the missing piece for Kyler Murray?One of Two: Arizona and Las Vegas are the only seats left. We discuss why the Cardinals are content with being last.1:10:40 - Suns: The Ott Standard: - Media Reactions: We hear from Mark Williams on-court with Amanda Pflugrad and Head Coach Jordan Ott's assessment of the "Next Man Up" mentality.72 Points in the Paint: How the Suns dominated the interior without Booker, Green, or Gillespie. We break down the 53-point combined effort from Dillon Brooks and Mark Williams.1:55:20 - The Valley Pulse:5. The Spinning Carousel: The isolation of being the last team searching.4. Mo Odum's Masterclass: The 33-point savior for ASU.3. 72 Points in the Paint: The definitive identity stat of the season.2. The "Next Man Up" Blueprint: Why the Suns' depth is no longer a theory.1. The Ott Standard: Why Jordan Ott and his staff are the most important momentum-shifters in Arizona right now.The Verdict: Is a win without Devin Booker the ultimate proof that Jordan Ott's system is the real star of the Valley?

EPISODE SUMMARY Minnie, a young and impulsive vampire from the 1920s, lost control again. She hurt someone again. And she can't face it - so instead, she imagines a cozy town. An idyllic place where her only troubles are bees and nosy neighbors.  SHOW NOTES New in Town Minnies story - Paint the Town Red on MFD One Shot News & Updates One Shot Patreon One Shot TWITCH Back my upcoming game! Follow the cast here! Dillin ----------------------------------------------------- Know Your Rights Toolkits Find and call your representatives and be heard (US) Find and call your members of Parliament and be heard (Canada) Find and call your members of Parliament and be heard (UK) ---------------------------------------------------- Music Used in This Episode My Hometown, Skittlegirl Sound Winning Big in the 1970s, Dresden The Flamingo Lounge Lover (LOFI), Dresden The Flamingo Waffles, Dresden The Flamingo Cozy Place, Skittlegirl Sound Village by the Sea, Skittlegirl Sound The Grand Spiegeltent, Dresden the Flamingo Editing and sound design by ⁠⁠⁠⁠⁠⁠Shaghik Manè. Learn more about your ad choices. Visit megaphone.fm/adchoices

EPISODE SUMMARY Minnie, a young and impulsive vampire from the 1920s, lost control again. She hurt someone again. And she can't face it - so instead, she imagines a cozy town. An idyllic place where her only troubles are bees and nosy neighbors.  SHOW NOTES New in Town Minnies story - Paint the Town Red on MFD One Shot News & Updates One Shot Patreon One Shot TWITCH Back my upcoming game! Follow the cast here! Dillin ----------------------------------------------------- Know Your Rights Toolkits Find and call your representatives and be heard (US) Find and call your members of Parliament and be heard (Canada) Find and call your members of Parliament and be heard (UK) ---------------------------------------------------- Music Used in This Episode “I Love You Truly” performed by Edward Spence with instrumentation by J Strautman. Written by Carrie Jacobs-Bond. As heard on the My First Dungeon Podcast My Hometown, Skittlegirl Sound Winning Big in the 1970s, Dresden The Flamingo Lounge Lover (LOFI), Dresden The Flamingo Waffles, Dresden The Flamingo Cozy Place, Skittlegirl Sound Village by the Sea, Skittlegirl Sound The Grand Spiegeltent, Dresden the Flamingo Editing and sound design by ⁠⁠⁠⁠⁠⁠Shaghik Manè. Learn more about your ad choices. Visit megaphone.fm/adchoices

When Nick wasn't drinking or smoking.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode 181 January 15,  2026 On the Needles ALL KNITTING LINKS GO TO RAVELRY UNLESS OTHERWISE NOTED.  Please visit our Instagram page @craftcookreadrepeat for non-Rav photos and info     Succulents 2025 Blanket CAL by Mallory Krall, Hue Loco DK in Hens & Chicks– DONE!! And started joining!    Tentacula Cowl by Jenny Noto, Jems Luxe Fibers Monstrous Minis in Scylla –DONE!   Gnandad's Grand Adventure by Sarah Schira, Little Squirrel Yarn Oak Sock in Gnandad's Adventure (skis!)-- DONE!!   Gnot Just Another Gnome by Sarah Schira, KnitPicks Stroll Fingering in Hollyberry, KnitCircus Opulence in Badger Tracks Stripes, Sanguine Gryphon Skinny Bugga in Blue Emperor Dragonfly– DONE X2!   Avena by Jennifer Steingass, Yarnaceous Fibers Brontosaurus DK in Starbies and Cup of Cheer minis   Clapotis ‘24 by Kate Davies, Three Irish Girls Adorn Sock in Ainsley (original 23.8K, sharon mcmahon 3IG)     On the Easel 12:16   Art travel kit–kit for the chaos. 100-Day composition studies Daily Joys Calendar mailing snafu?! On the Table 23:54 Simon Seared Sweet Potatoes With Chermoula Recipe   Luxurious Pomodoro in a flash from Simple Pasta by Odette Williams   Charred gai lan with black eyed peas and chile crisp vinaigrette from Linger   Baechu Doenjang Guk (Cabbage and Doenjang Soup) from WaPo/Korean Vegan   Key lime pie FIASCO (use the NYT recipe for frozen key lime pie, BUT bake for 15 minutes at 350F before refrigerating).   Hot Honey tofu for rice bowls, etc.   Chicken Meatballs from Smitten Kitchen–subbed out pancetta for MUSHROOM bouillon!! On the Nightstand 37:29 We are now a Bookshop.org affiliate!  You can visit our shop to find books we've talked about or click on the links below.  The books are supplied by local independent bookstores and a percentage goes to us at no cost to you!   Noel Nook: Christmas People by Iva-Marie Palmer The Nightmare Before Kissmass by Sarah Raasch  Christmas is All Around by Martha Waters   The Isle in the Silver Sea by Tasha Suri Mortal Follies by Alexis Hall The Geographer's Map to Romance by India Holton Dungeon Crawler Carl by Matt Dinniman Nine Goblins by T. Kingfisher Welcome to Murder Week by Karen Dukess And Still I Rise by Maya Angelou Train Dreams by Denis Johnson (audio) Maltese Falcon by Dashiell Hammett (audio) On the Calculation of Volume III by Solvej Balle trans by Sophia Hersi Smith and Jennifer Russell Flashlight by Susan Choi   When Elodie grinned like that, shenanigans were almost certainly to ensue…   The Wolf King by Lauren Palphreyman The Art Thief by Michael Finkel The Book of I by David Grieg On the Horizon 57:37 2025 Needles: 10,608 yards in 33 projects  ✔Succulents blanket CAL, ✔Colorwork cuff club    Table: Great British bake off bakes   Read: 181 books   Repeat Read the World and Tacoma Extreme! Australia: ✔ Everyone in my family has killed someone Belgium ✔ War & Turpentine China ✔ Half a Lifelong Romance Egypt ✔ If an Egyptian cannot speak English Iceland:  ✔? the Night Guest Kenya Malaysia Mexico  ✔You Dreamed of Empires The Netherlands ✔The Discomfort of Evening The Philippines 2026 Needles: charity hats? Use yarn/patterns already have.  Use stash patterns in general . year of dishcloths! Table: use stash cookbooks Nightstand: read stash books? Storygraph reads the world, genre, 52 books Afghanistan Albania Bulgaria Croatia France Iraq Morocco Senegal Sweden Thailand  A short story collection in translation  A nonfiction book about Indigenous history A queer historical romance novel   A translated classic  A young adult novel by a Latinx author  A biography about a Black historical figure A crime novel set outside of the US, UK, or Canada  A nonfiction book about philosophy A literary or contemporary debut published in 2026  The first book in a fantasy series    Cortney's 2026: SEEK JOY theme Easel, etc. Paint my curiosities + stickers + paper newsletter?? Sewing: “museum outfits Table: joyful recipes, healthy, colorful, textural. Nightstand: more JOYFUL reads, maybe one a month, and plan ahead?

This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit

Melissa Murphy, co-owner of Johnston Paint and Decorating, and Kemp Harr discuss why this flooring retailer in Columbia, MO, is continuing to grow, and why she won the WFCA Tom Jennings award.

The Decade Project is an ongoing One Heat Minute Productions Patreon exclusive podcast looking back at the films released ten years ago to reflect on what continues to resonate and what's ripe for rediscovery. The third year being released on the main podcast feed is the films of 2015. To hear a fantastic chorus of guests and I unpack the films of 2016 in 2026, subscribe to our Patreon here for as little as $1 a month. In the latest episode, I enlist a wonderful artistic mind and hot boy, Daniel Lammin, to go on one last ride with the boys and discuss the masterpiece MAGIC MIKE XXL.Daniel LamminTheatre maker. Film critic for SWITCH. Host of INK & PAINT podcast. Occasional thirst-trapper.Support this podcast at — https://redcircle.com/one-heat-minute-productions/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Send us a textIt's Date Night! Notorious serial killer Closed Casket Jack is about to embark on his one way journey to Hell... so as a Last Hurrah his girlfriend Sadie Jayne is pulling out all the stops to give him the night of his life. Fire and food, love and laughter, blood and guts!Music provided by:Lobo Loco – Bells of HappinessSoularflair – It's the Smiles that Keep us Going, Everlasting Embrace, Something Broken SomewhereGregor Quendel – arrangement of Bach's Tocatta & fugue in D minorPlease subscribe through Buzzsprout, Stitcher, Spotify, Podchaser, or iTunesFind me on social media on Instagram Facebook and Twitter, or email me direct at AScaryHomeCompanion@gmail.comSupport our PATREON page! And check out the Redbubble merch shop. Support the showSupport the show

Right in the thick of awards season, Jim Hill and Drew Taylor sit down to read the tea leaves on this year's animation race while also digging into a pivotal - and often misunderstood - moment in Disney animation history. From Annie Award trends and box office signals to Don Bluth's garage-era rebellion, this episode covers how a shortage of effects animation talent helped spark one of the biggest talent walkouts the studio ever faced. NEWS • Why KPop Demon Hunters and Pixar's Elio leading the Annie nominations could matter as Academy voting begins • The third Avatar film dominates the box office again as Zootopia 2 closes in on Lion King-level numbers • GKIDS picks up Shaun the Sheep: The Beast of Mossy Bottom for a Halloween release • Remembering composer Guy Moon and his legacy across The Fairly OddParents, Danny Phantom, and more FEATURE • How shrinking FX animation departments in the 1970s quietly changed Disney's films • Why Don Bluth created Banjo the Woodpile Cat as a “training exercise pretending to be a movie” • Ron Miller's rejection of Banjo and how that decision helped trigger Bluth's mass exit from Disney • The ripple effects that delayed The Fox and the Hound, reshaped the studio, and helped set the stage for Disney's 1980s reboot HOSTS • Jim Hill - IG: @JimHillMedia | X: @JimHillMedia | Website: JimHillMedia.com • Drew Taylor - IG: @drewtailored | X: @DrewTailored | Website: drewtaylor.work FOLLOW • Facebook: JimHillMediaNews • Instagram: JimHillMedia • TikTok: JimHillMedia SUPPORT Support the show and access bonus episodes and additional content at Patreon.com/JimHillMedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - Strong Minded Agency SPONSOR This episode is sponsored by Unlocked Magic. Save on Walt Disney World and Universal Orlando tickets - sometimes up to 12 percent off - at UnlockedMagic.com. When you book, please let them know Drew and Jim sent you. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's episode of Trapped Under Plastic, Scott and Jon are back in person! Welcome to Season 7 Goodie PP's!Support the Show on Patreon: https://www.patreon.com/trappedunderplasticSupport the Show with Merch: https://teespring.com/stores/trapped-under-plasticFollow Jon: https://www.youtube.com/ninjonFollow Scott: https://www.youtube.com/miniacJoin the FB group: https://www.facebook.com/groups/395664561386239/Listen to the audio versons: http://www.trappedunderplastic.com/On patreon, we offer our patron's the ability to submit topics for us to discuss during a podcast, you get an extended version of the podcast, and you can submit miniatures for us to critique during an episode!TUP PartnersGame Envy:https://gameenvy.net/Monument Hobbies:https://monumenthobbies.com/Iwata:https://www.iwata-airbrush.com/Steamforged Games:https://steamforged.com/Corvus Belli:https://corvusbelli.com/en/The Army Painter:https://thearmypainter.com/Red Grass Games:https://www.redgrasscreative.com/Relevant LinksGW Vampire Model:https://www.instagram.com/p/DTIh59Mjisv/?img_index=1Patreon Critique - Christrian (LawHammer40K):https://www.instagram.com/p/DAHzg3lPDlO/00:00 Start06:59 Preamble Ramble44:08 TUP Partners (Part One)46:20 Hobby Update01:03:22 Patreon Mini Critique01:10:19 TUP Partners (Part Two)01:12:13 Topic DiscussionSupport the showSupport the Show on Patreon: https://www.patreon.com/trappedunderplasticSupport the Show with Merch: https://teespring.com/stores/trapped-under-plasticFollow Jon: https://www.youtube.com/ninjonFollow Scott: https://www.youtube.com/miniacJoin the FB group: https://www.facebook.com/groups/395664561386239/Listen to the audio versions: http://www.trappedunderplastic.com/

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