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Kevin Schaefer, Andy Walsh, and Christian Ashley dive deep into the mutant mayhem of the first three X-Men films in this episode of Systematic Geekology. Their mission? To prep for the upcoming X-Men appearance in Avengers: Doomsday later this year. They kick things off by reminiscing about their first impressions of the original X-Men movie, dissecting its impact on the superhero genre, and sharing their thoughts on how the characters were portrayed. As they move through X2 and The Last Stand, the trio doesn't shy away from addressing the glaring missteps and missed opportunities in the franchise, especially regarding character development and story arcs. Tune in for a thoughtful and witty discussion filled with nostalgia, critiques, and a sprinkle of mutant magic! A deep dive into the nostalgia-inducing world of the first three X-Men movies, this episode of Systematic Geekology sees Kevin Schaefer, Andy Walsh, and Christian Ashley embarking on a journey to recall the pivotal moments that defined a generation of superhero cinema. They kick things off with the original X-Men film from 2000, exploring its groundbreaking approach to comic book adaptations at a time when the genre was still finding its footing in Hollywood. The trio discusses the film's significant themes, like the struggle for acceptance and the moral ambiguity of power, while also taking a critical look at its deviations from the source material. They reminisce about their first viewing experiences and how the movie introduced them to beloved characters like Wolverine, Professor X, and Magneto, all portrayed by a stellar cast that has stood the test of time. As they dissect the film, they touch on the cultural impact it had, setting the stage for a comic book movie renaissance that would follow. A blend of personal anecdotes and insightful commentary makes this segment a must-listen for fans eager to revisit the origins of the X-Men franchise. Transitioning to X2: X-Men United, the discussion shifts to the sequel that many fans consider a hallmark of superhero filmmaking. Kevin, Andy, and Christian delve into how X2 expanded upon its predecessor's foundation, introducing new characters like Nightcrawler and giving existing ones more depth and arcs that felt more balanced. The opening sequence involving Nightcrawler's infiltration of the White House is highlighted as a standout moment, showcasing not only exhilarating action but also the film's thematic depth regarding prejudice and acceptance. The hosts share their thoughts on how the film navigated complex relationships and conflicts among the characters, particularly the uneasy alliance between Xavier and Magneto in the face of a greater threat. The group also reflects on the film's legacy and its role in shaping the narrative landscape of the superhero genre, establishing a standard that many future films would strive to achieve. This segment is filled with fond memories and critical insights, making it a perfect nostalgia trip for longtime fans and newcomers alike. Finally, the episode wraps up with a candid analysis of X-Men: The Last Stand, a film that has garnered mixed reactions over the years. The hosts tackle the ambitious yet flawed attempt to merge the Cure storyline with the iconic Dark Phoenix saga, lamenting the missed opportunities to fully explore each narrative. They discuss how the film's chaotic production led to a disjointed experience, with key characters like Cyclops receiving little to no development. The conversation touches on the film's failings in comparison to its predecessors, particularly in terms of character depth and thematic resonance. Yet amidst the critiques, there are glimmers of appreciation, such as Kelsey Grammer's portrayal of Beast and the potential that the storyline held, had it been executed with more care. As they navigate through the highs and lows of the film, the trio reflects on the lessons learned from the trilogy as a whole, setting the stage for future discussions on the X-Men's cinematic journey. This final segment serves as a reminder of the complexity of adapting beloved source material and the challenges that come with evolving a franchise over time.Takeaways:The podcast dives deep into the first three X-Men movies, examining their cultural impact as they gear up for the upcoming Avengers: Doomsday.Kevin, Andy, and Christian share nostalgic memories of the original X-Men film, highlighting how it shifted the superhero genre landscape back in 2000.They discuss the character dynamics, particularly the complexity of Rogue and her journey, which resonates with themes of identity and acceptance.Listeners learn how the trilogy's writing struggles led to missed opportunities, particularly in portraying the characters' depth and moral complexities..Be sure to check out our merch, find extra content, and become an official member of Systematic Geekology on our website:https://systematic-geekology-shop.fourthwall.com/.Check out our other Marvel episodes:https://player.captivate.fm/collection/fb519d38-2d9b-4f82-b041-81b81613543c.Check out other episodes with Andy:https://player.captivate.fm/collection/c86f7a67-357b-4324-bf95-e42cedb9932a.Listen to every episode with Christian:https://player.captivate.fm/collection/ebf4b064-0672-47dd-b5a3-0fff5f11b54c.Don't miss any of our other episodes with Kevin:https://player.captivate.fm/collection/84fd7d06-cf1f-48e5-b358-09a01c5a6bc9Mentioned in this episode:Get Your SG Merch now!Check out the link to see all of our different t-shirts, backpacks, drinking glasses, pajamas, and more! SG on FourthwallSystematic GeekologyOur show focuses around our favorite fandoms that we discuss from a Christian perspective. We do not try to put Jesus into all our favorite stories, but rather we try to ask the questions the IPs are asking, then addressing those questions from our perspective. We are not all ordained, but we are the Priests to the Geeks, in the sense that we try to serve as mediators between the cultures around our favorite fandoms and our faith communities.Donate to our Show / Check Out Free ExtrasCheck out our show on Fourthwall to donate to the podcast or get free extra content!SG on FourthwallThe Anazao Podcast NetworkBe sure to check out the network website to see other podcasts trying to engage honestly with Scripture, Theology, Pop Culture, Martial Arts, Science, and more!Anazao Podcast NetworkBecome a member of Systematic Geekology on our Website!Check out the link to become a member of Systematic Geekology! All member get exclusive extras and shout outs on the show! Some of the paid tiers of membership get store discounts, free merch, and more!SG on FourthwallBecome a Member of Systematic Geekology Today!You can become a member of Systematic Geekology using the link below and gain access to free extra content, exclusive t-shirts, merchandise giveaways, and much more!SG on Fourthwall
Join us LIVE for a brand new discussion with Stargate Producer, Writer and Director Peter DeLuise to discover more stories from SG-1 Seasons Three and Five!
Carter hat Merlins Phasenverschieber erfolgreich modifiziert und bekommt mit SG-1 und SG-3 den Auftrag, ein Dorf auf P9C-882 zu verstecken. Ein Prior hatte diese Welt bereits besucht. Deutsche TV-Premiere Do. 06.09.2007 RTL II Original-TV-Premiere Fr. 20.04.2007 Showtime
251 - Ben Brandt In episode 251 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host, James Patrick Regan speaks with guitarist Ben Brandt. In their conversation Ben tells us about his 1962 ES 335 and his recent move to Nashville from Pennsylvania after commuting for a few years. Ben discusses his previous band “Soul Miners Union” and working with guitarist Josh Smith. Ben talks us about his new album “Solid Ground” which will be released March 20th, that was produced by J.D. Simo who also plays on the album. Ben describes learning guitar from his father early on and playing in bands starting at age 10 and moving to drums and bass before returning to guitar. Ben takes us through his gear amps pedals and guitars both on the new album and his live rig. Ben describes his plans for touring in the summer and fall and his love of guitar shows. To find out more about Ben you can go to his website: benjbrandt.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #BenBrandt #JoshSmith #JDSimo #SoulMinersUnion #SolidGround #Nashville #ElderlyInstruments #GibsonGuitar #JamesPatrickRegan #theDeadlies #DRZamps#haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Please like, comment, and share this podcast! Download Link
Will Rose, Jill Elizabeth, and Kevin Schaefer dive into a whirlwind of pop culture delights in this all lightning round episode of Systematic Geekology. They share what's new and exciting in the geek world, from the thrilling highs of the Winter Olympics to the emotionally charged narrative of the medical drama "The Pit." The trio engages in light-hearted banter, discussing the ins and outs of their latest obsessions while exploring how these topics resonate with their varied faith traditions. With topics ranging from the nostalgia of "The Muppet Show" to the highly anticipated "Toy Story 5," listeners are treated to a delightful mix of humor and insightful commentary. Buckle up as they speed through a smorgasbord of geeky goodness—it's a ride you won't want to miss!A vibrant discussion unfolds as Will, Jill, and Kevin dive into the latest happenings in the geek universe. The trio kicks off with a lightning round, sharing their most recent obsessions in television and movies. Jill expresses her enthusiasm for the Winter Olympics, capturing the rollercoaster of emotions that come with the games. From heart-stopping performances to nail-biting moments in hockey, she embodies the spirit of patriotism that ignites during such events. Kevin, on the other hand, brings the spotlight to a medical drama that has captivated his attention: 'The Pit.' He raves about its unique real-time format, where each episode covers an hour in the lives of emergency room staff, blending heartfelt storytelling with moments of levity. Will chimes in with his own nostalgia-fueled excitement about the return of the Muppet Show, highlighting how it bridges generations and evokes fond memories for viewers. As they jump from topic to topic, the camaraderie among the hosts shines through, with witty banter and clever insights that keep listeners engaged. The episode is a delightful mix of shared passions and geeky discussions, reminding everyone of the joy found in fandoms and the community built around them.Takeaways:In this lightning round episode, the crew dives into their current obsessions in pop culture, showcasing a blend of excitement and nostalgia.Jill shares her patriotic enthusiasm for the Winter Olympics, highlighting the emotional rollercoaster that the games bring to viewers.Kevin reveals his newfound love for the medical drama 'The Pit', emphasizing its unique storytelling format that unfolds in real-time.Will reminisces about the nostalgic return of 'The Muppet Show', expressing hopes for more episodes to capture the hearts of both old and new fans.The discussion touches on the upcoming 'Toy Story 5', sparking debate about the relevance of beloved characters in a digital age filled with tech competition.The crew wraps up with recommendations, championing shows like 'Shrinking' and 'The Muppet Show' as must-watch gems that blend humor with heartfelt storytelling..Be sure to check out our merch, find extra content, and become an official member of Systematic Geekology on our website:https://systematic-geekology-shop.fourthwall.com/.Check out our other What's News episodes:https://player.captivate.fm/collection/5abf15a7-d441-4638-8a4a-66ccf85e3343.Check out other episodes with Will:https://player.captivate.fm/collection/4559ab55-4b6a-4432-b0a7-b61540df8803.Listen to every episode with Jill:https://player.captivate.fm/collection/93b2d7c5-1f3a-4fdb-8d87-350f6ca167b9.Don't miss any of our other episodes with Kevin:https://player.captivate.fm/collection/84fd7d06-cf1f-48e5-b358-09a01c5a6bc9Mentioned in this episode:Follow us on Instagram and BlueSky to keep up to date!Follow our show on our socials to keep up to date and get some exclusive content and fun memes!Become a Member of Systematic Geekology Today!You can become a member of Systematic Geekology using the link below and gain access to free extra content, exclusive t-shirts, merchandise giveaways, and much more!SG on FourthwallThe Anazao Podcast NetworkBe sure to check out the network website to see other podcasts trying to engage honestly with Scripture, Theology, Pop Culture, Martial Arts, Science, and more!Anazao Podcast NetworkSystematic GeekologyOur show focuses around our favorite fandoms that we discuss from a Christian perspective. We do not try to put Jesus into all our favorite stories, but rather we try to ask the questions the IPs are asking, then addressing those questions from our perspective. We are not all ordained, but we are the Priests to the Geeks, in the sense that we try to serve as mediators between the cultures around our favorite fandoms and our faith communities.Check out our Fourthwall site for quite literally everything to do with our show!All SG merch, extra content, our youtube page, SG memberships, tips / donations, etc. can all be found at this one convenient spot!SG on Fourthwall
Erhan Eskicumalı ‘nın hazırlayıp sunduğu Makine Emniyeti ve Güvenliği programına Eti Makine San.Tic.AŞ Makine Mühendisi & İSG & Makine Emniyeti Uzmanı Canan Şerefli Avsan konuk oldu.
Erhan Eskicumalı ‘nın hazırlayıp sunduğu Makine Emniyeti ve Güvenliği programına Eti Makine San.Tic.AŞ Makine Mühendisi & İSG & Makine Emniyeti Uzmanı Canan Şerefli Avsan konuk oldu.
VLOG Feb 23 "Justice never sleeps" - 2d Circuit hears Noel Francisco for Dubai Islamic Bank despite blizzard.Exhibits fight; Habeas fireworks: https://matthewrussellleeicp.substack.com/p/ice-and-fireworks-beat-mexican-man; UN Saunders wastes money, what'll @USUN @MichaelGWaltz & @HeyTammyBruce do on SG's Press ban?
250 - Luke Winslow-King In episode 250 of Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with singer/songwriter Luke Winslow-King. Luke joins us from his home in Spain. In their conversation Luke shares with us what life is like in Spain and he tells us about his experiences busking in Europe and dealing with Gypsies and his experiences with his band in Europe. Luke talks about living in New Orleans previously and going to the university of New Orleans and busking there as well with a group of musicians known as the “Loose Marbles” that eventually became Tuna Skinny, Hooray for the Riff Raff as well as members of Luke's band. Luke describes his gear including a resonator that he's had since 2001 and the rest of his gear and a shoutout to his home music store Elderly Instruments. Luke discusses his early touring experiences with a group of friends following a book by Pete Seeger of Woody Guthrie songs called “California to the New York Islands” Luke describes his current tour schedule traveling throughout Europe and the US and talks about his band, both in Europe and the US and he gives us insight into booking in Europe. Luke tells us about his new record “Coast of Light” his ninth album and he describes his musical education. Luke discusses his future, recording an album with “Little Freddie King” and another album for himself. To find out more about Luke you can go to his website: lukewinslowking.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #LukeWinslowKing #LittleFreddieKing #CoastofLight #BuskinginEurope #NewOrleans #TubaSkinny #hoorayfortheriffraff #ElderlyInstruments #resonatorguitars #GibsonGuitar #JamesPatrickRegan #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Please like, comment, and share this podcast! Download Link
In this week's episode of GameBurst, we cast a critical eye over a turbulent period for the gaming industry. The news is dominated by Sony's strategic pivot, as the company confirms a remastered trilogy of the original God of War titles alongside the surprise release of the 2D prequel, Sons of Sparta. However, this nostalgic revival is offset by the somber news of the closure of Bluepoint Games, the celebrated studio behind the Demon's Souls remake, marking another casualty in a string of recent internal restructures at Sony. The industry also pauses to mourn Hideki Sato, the visionary engineer who designed every Sega console from the SG-1000 to the Dreamcast, whose passing marks the end of an era for hardware innovation. Furthermore, we examine the looming threat of global component shortages that Valve warns could impact hardware availability and pricing throughout 2026. Our "Pick of the Week" segment features a diverse range of titles, from the high-octane racing of Grid Legends to the indie charm of Cast n Chill and The Rogue Prince of Persia. Finally, we dive into the mailbag to address listener questions regarding podcast analytics and the motivations behind independent gaming broadcasts. YouTube Recommendations: The Tragedy Of Becoming Better by The Masked Man: https://youtu.be/FNAyjfDUX2o?si=Rb46TxDd3wxEXPrJ Mass Effect - Shaped By Stories: https://youtu.be/ghAXbX-F5K0?si=WxFVibwCOMD8DKS1
Alison Matthews joins Dial the Gate LIVE to explore her role as Brenna in SG-1's "Beneath the Surface," which adapts one of the oldest morality plays in science fiction.
249 - the Sky Chiefs - Stephen McCarthy (The Long Ryders, The Jayhawks) and Kevin Pittman (The Dads) In episode 249 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine,host James Patrick Regan speaks with the Sky Chiefs, who are Stephen McCarthy from The Long Ryders and The Jayhawks and Kevin Pittman who's put out two solo albums and also was in The Dads. In their conversation Kevin gives us a little bit of his history and then Stephen joins and we discuss the “Sky Chiefs” debut album and how it was recorded and produce 36 years ago and the Personel on the album and they take us through the musical styles on the album. Stephen tells us about his time in California playing with the Long Ryders The two tell us how they met while Kevin was in a band called “the Dads” and moved from LA to back to Richmond, VA. Stephen talks about his main guitar a tele style guitar with a b-bender “string bender” installed by Gene Parsons, the inventor of the string bender Gene is interviewed in episode 117 of this podcast. The two both tell us about the gear not just for the album but also what they're using now. Stephen discusses seeing Danny Gatton play many times early on. The two describe the few shows they did 36 years ago and they talk about plans for shows upcoming and discuss the support they're receiving from Sirius/XM's Outlaw Country. The two talk about a new album and the work they are doing separately, Stephen with a new Long Ryders album coming up (Stephen gives us a little bit of the Long Ryders history and logistics for an upcoming tour) and he tells us about his tour work with the Jayhawks. The two talk about the Palomino club in LA and encounters with Nudie Cohen at his shop. To find out more about Stephen and Kevin”s album you can go to their website: theskychiefs.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #theSkyChiefs #StephenMcCarthy #KevinPittman #theLongRyders #theJayhawks #BBender #StringBender #TheDads #JamesPatrickRegan #GeneParsons #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Download Link
In tribute to the passing of Hideki Sato, The Hidden Palace takes a look at his work on SEGA consoles, from the SG-1000 all the way up to the Dreamcast. Chapters: 00:00:00 Welcome to The Hidden Palace 00:07:07 Panzer Dragoon Saga (AZEL -Panzer Dragoon RPG-) - Sona Mi Areru Ec Sancitu (2018 Re-Arranged) 00:11:42 SONICTEAM Unplugged Live 2004 - I Just Smile / ''Burning Rangers'' : Ending Theme Song 00:16:02 This is The Hidden Palace 1 00:21:19 Turbo OutRun [C64] - Intro ~ Magical Sound Shower 00:27:15 Mega Anser - Data Transfer 00:30:08 This is The Hidden Palace 2 00:36:50 Sonic the Hedgehog CD - Quartz Quadrant 'G' Mix US 00:38:12 maimai GreeN - SEGA SATURN Startup Sound[H.][Remix] 00:39:31 This is The Hidden Palace 3 00:43:15 Sonic Adventure - Run Through the Speed Highway ...for Speed Highway 00:45:22 SEGA SG-1000 30th Anniversary Collection - BLACK BELT Arrange Version 00:47:33 This is The Hidden Palace 4 00:49:21 RushJet1 - Asteroid Run 00:51:30 This is The Hidden Palace 5 00:53:41 Super Smash Bros. Brawl - Title Theme - The Legend of Zelda
Tales of Three Campaign OneArc 2.1: PoletoniaEpisode 72: A Fireball to the CanopyVéres wakes to Raul having a nightmare. As the party get closer to Poletonia, the foliage continues to hinder their path. Ivy and Véres talk about the past.Content Warnings: Nightmares, being lost in the forest, sentient plant life, swearing, emotional conversations, enclosed spaces, darkness, claustrophobia. Chewing on mic in bloopers at 1hr and 1minTales of Three is an all-queer, dark fantasy dnd podcast where your three Game Masters are also your three Players!If you like what you hear please tell your friends about us & consider giving us a 5 star review! It's a quick and easy way to show your support for small creators whose content you enjoy!Follow the Cast:Arianna as Elara SpinelsparkDusty as Ivy Nightbreeze-TinkerfeyWayra as VéresFind our socials here!Want to chat with the cast, talk spoilers, play games, and make new friends? Join our Discord!If you want to help keep the podcast running and get access to bonus content check out our Patreon or buy us a coffee on Ko-fi!Special thanks to SG for theme song, Chriss for the logo, Fenn & Ely for the character art!Background music and SFX by Epidemic Sounds & Monument Studios.This week we're featuring our friends at Arcane Amphitheatre! Get your ticket here!
Gerai sebelah jual benda sama… nak gaduh atau nak collab?
Der Bundesrat schlägt vor, für die Aufrüstung der Armee die Mehrwertsteuer um 0,8 Prozentpunkte zu erhöhen. Auf der bürgerlichen Seite ist man sich einig, dass das Militär mehr Geld braucht, doch der Vorschlag mit der Mehrwertsteuer stösst teils auf Widerstand. Woher sollen die zusätzlichen Milliarden für die Armee kommen? Soll die Mehrwertsteuer erhöht werden? Soll in anderen Bereichen gespart werden? Sollen andere Finanzierungsquellen angezapft werden – etwa eine Gewinnsteuer auf Immobilien? In der «Politik Debatte» diskutieren: · Reto Nause, Nationalrat Die Mitte, BE · Michael Götte, Nationalrat SVP, SG
We discuss stats, character arcs, the representation of women, and more in this analysis episode covering SG-1 Season 10 and SG-1 as a whole. We also have a lot of hopes for any new Stargate show!Find us online:https://twitter.com/wormholewaffleshttps://wormholewaffles.tumblr.com/@wormholewaffles.bsky.socialHive @wormholewaffleshttps://twitter.com/chelseafairlesshttps://chelseafairless.tumblr.com/@chelseafairless.bsky.socialHive @chelseafairlesshttps://twitter.com/arezouaminhttps://arezoudeetoo.tumblr.com/https://www.tiktok.com/@Arezou.Amin@arezouamin.bsky.socialHive @arezoudeetooThreads @arezoudeetooOther Geeky Waffle content:https://thegeekywaffle.com/https://twitter.com/Geeky_Wafflehttps://www.facebook.com/thegeekywaffle/https://www.instagram.com/thegeekywaffle/https://thegeekywaffle.tumblr.com/https://www.tiktok.com/@thegeekywafflehttps://www.youtube.com/c/thegeekywafflehttps://www.patreon.com/thegeekywaffle@thegeekywaffle.bsky.social
248 - David and Howard - the Bellamy Brothers In episode 248 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine!, host James Patrick Regan speaks with David and Howard, the Bellamy Brothers. In their conversation the two discusses their home in Florida and the Brahma Cattle they raise. They discuss their current tour schedule which is extreme and the logistics of their tour and they talk about 50th anniversary show at the Ryman Auditorium in Nashville on June 25th. They tell us about their connection to Ovation guitars after their gear was stolen while on tour with Loggins and Messina in the ‘70's and they also talk about the guitars they're using now on the road, Parker Fly guitars. The discuss their former bassist and lifelong friend Wally Dentz who unfortunately passed away just a couple weeks ago. They describe their early influences gospel and early country and the early English bands and they talk about playing with their dad who was also musical and they tell us about the early incarnations of their bands that eventually became the Bellamy Brothers. The tell us about the work they did early on working with and for Jim Stafford and Gallagher and David's song “Spiders and Snakes” which Jim recorded and the song “Let Your Love Flow” which jump started their career. They talk about doing tv work when tv was a very big deal and they discuss how Conway Twitty helped them break into the Nashville establishment. They discuss the members of the their band and plans for a new album to celebrate their 50th anniversary. They also talk about their other project a line of marijuana called “Old Hippy Stash” that's distributed by Trulieve. To find out more about David and Howard you can go to his website: bellamybrothers.com and they're on all the socials. Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #DavidandHowardBellamy #theBellamyBrothers #ParkerFlyGuitars #OvationGuitars #JimStafford #Gallagher #JamesPatrickRegan #ConwayTwitty #WallyDentz #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Download Link
SG-1, Atlantis and Universe Prop Builder Mark Nicholson returns to Dial the Gate with more insights to building some of your favorite props from the latter half of the franchise and take your questions LIVE!
Tales of Three Campaign OneArc 2.1: OladellEpisode 71: Evidence of ScarsIvy and Rayla get a little closer during a stop in the journey to Poletonia, while Véres finally confesses their true identity to Elara.Content Warnings: Emotional distress, traumatic past relationships, emotional conversations, romance, reference to death of a loved one, memory loss, toxic romantic relationships, ritual sacrifice, kidnappingTales of Three is an all-queer, dark fantasy dnd podcast where your three Game Masters are also your three Players!If you like what you hear please tell your friends about us & consider giving us a 5 star review! It's a quick and easy way to show your support for small creators whose content you enjoy!Follow the Cast:Arianna as Elara SpinelsparkDusty as Ivy Nightbreeze-TinkerfeyWayra as VéresFind our socials here!Want to chat with the cast, talk spoilers, play games, and make new friends? Join our Discord!If you want to help keep the podcast running and get access to bonus content check out our Patreon or buy us a coffee on Ko-fi!Special thanks to SG for theme song, Chriss for the logo, Fenn & Ely for the character art!Background music and SFX by Epidemic Sounds & Monument Studios.This week we're featuring our friends at Wyrm with a Heart. Episode 1 premieres February 28th!
247 - Philip Shouse (Solo, the Rock and Roll Residency, Accept, Ace Frehley, Gene Simmons) In episode 247 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with Philip Shouse, who has a solo EP called “Side 1” out and is currently a member of Accept he also is a part the Rock and Roll Residency and has been a part of both Gene Simmons and Ace Frehley”s solo bands. In their conversation Philip tells us about his upcoming tour of Sweden for his solo album and the band he's using and he discusses living in Nashville and the ease of traveling the world with Nashville being the hub. Philip talks about being working with the band Accept since 2017 and officially joining in 2019 and how their tour cycle works and the logistics of playing in Europe, the US and South America. Phillip tells us about his EP which was basically a 50th birthday present to himself and he tells us about the production and personel on the album. Philip describes his world of being a touring musician as opposed to the session musician scene in Nashville. Philip talks about his project “the Rock and Roll Residency” which had many special guests like Robin Zander, Alice Cooper, Billy Gibbons, Lzzy Hale to name a few. Philip takes us through his musical education and he tells us about his gear including a guitar which is very special to him. Philip describes how he ended up playing with Gene Simmons and how that led to playing with Ace Frehley. To find out more about Philip you can find him on the socials at: itsphilipshouse or his links at: linktr.ee/philipshouse.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #PhilipShouse #Accept #GeneSimmonsBand #AceFrehleyBand #Side1 #HagstromGuitars #GibsonGuitars #FramusGuitars #JamesPatrickRegan #theRockandRollResidency #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Download Link
Years before the genre took off in film and TV, the SG-1 team became superheroes themselves! David Rich, the writer behind "Upgrades," joins us LIVE to explore the premise further!
246 - Alan Williams In episode 246 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with guitarist and music educator Alan Williams. In their conversation Alan tells us about his new solo album “Floating on the Dreamline” and the personnel and production of the album it will be released on March 6th. Alan describes growing up in North Carolina studying piano and going to New England Conservatory in Boston and deciding guitar was also suited for his talent and Alan explains his major Ethnomusicology and how that relates to his interests. Alan tells us about his early band “Knots and Crosses” and how they got signed and why they broke up. Alan talks about gear both early keyboard synths and his guitars including his guitar made by Dave Schecter and a carbon fiber guitar made by Emerald guitars (emeraldguitars.com) in Ireland and he tells us why he fears taking his guitars on the road. Alan tells us about his career at university of Massachusetts at Lowell including a run as the chair of the music department and his current role as the chair of the music business department and some of the challenges of the ever changing music industry. Alan tells us about his previous albums including one that was not initially released and has recently been remixed and released. Alan tells us about his guitar tunings that he uses both on acoustic and electric guitars. And finally Alan describes to us about his touring plans, his retirement from teaching, his wife's work, a cottage he owns on the big island of Hawaii and returning to Asheville, North Carolina. To find out more about Alan you can go to his labels website: bluegentianrecords.com or his socials @alanwilliamsevidence Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #AlanWilliams #FloatingontheDreamline #KnotsandCrosses #SchecterGuitars #EmeraldGuitars #JamesPatrickRegan #NewEnglandConservitory #theDeadlies #UMassLowell #NEC #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Download Link
In today's episode, Nick talks to Scryptid Games' co-directors Brigitte Winter and Nat Mesnard! We talk about their upcoming game anthology "Tales from the Cryptids." In this episode, you'll discover:How Scryptid Games builds communityWhat people can expect form this new releaseHow you can submit to get your work published in the book!Scryptid LINKS!Project link: https://scryptidgames.com/tales-from-the-cryptids Discord: https://discord.gg/jpzU3UjMVZBluesky: https://bsky.app/profile/scryptidgames.bsky.socialInstagram: https://www.instagram.com/scryptidgames/SG website: https://scryptidgames.com/Joining us is host Nick Perron. Together with his co-hosts, they bring their combined 75 years of ttrpg hobby experience to bear to answer your questions and talk about this hobby we love.Tabletopped LINKS!→ Tabletopped's website→ Patreon→ Instagram→ TwitterCheck us out on Patreon! We have a new monthly pod as well as behind the scenes clips that you can get on a secret Spotify feed! We will also be dropping some more treats from time to time!Theme music by Mitch Poulin Support and Subscribe to the Podcast!
245 - Jeff "Skunk" Baxter In episode 245 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with guitarist Jeff “Skunk” Baxter. In their conversation Jeff tells about his role in the upcoming Rock and Roll Fantasy Camp which he does fairly often. Jeff tells us about his youth growing up in Mexico City and how he ended up playing guitar and eventually starting a surf band with Abe Laboriel. Jeff describes his early influences which are all very eclectic and Jeff talks about his move from Mexico to Connecticut and then New York City working at Jimmy's Music and the Dan Armstrong's repair shop and working on innovations with Bill Lawrence. Jeff describes the guitarists he ran into while working in New York City: Sam Brown, Eddie Deal, Danny Kortchmar and Les Paul. Jeff talks about his move to Boston to attend Boston University and working with David Schecter and studying the pedal steel. Jeff tells us about his love of muscle cars and a few of the cars he had throughout the years. Jeff discusses a few of his bands: Steely Dan and the Doobie Brothers and he talks about his session work and why he preferred to sit while playing live. Jeff talks about his love of eclectic guitars and what his collection looks like now and he talks about the work he's done for Roland, Gibson and Fender. Jeff discusses his work for the government, his hand in bringing rock music to Russia and his thoughts on new technologies and ones used during World War Two and talks a little about Nick Cook's book “the hunt for zero point”. Jeff describes being an avid reader of technical journals and guitar magazines and he talks plans for a second solo album. To find out more about Jeff you can go to his website: jeffskunkbaxter.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #JeffSkunkBaxter #SteelyDan #DoobieBrothers #DanArmstrong #thehuntforzeropoint #FenderGuitars #GibsonGuitars #JamesPatrickRegan #RolandMusicalInstruments #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife https://www.patreon.com/cw/HaveGuitarWillTravelPodcast Please like, comment, and share this podcast! Download Link
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
Tales of Three Campaign OneArc 2.2: PoletoniaEpisode 70: Back on the Road - AgainTUO begins their journey to Poletonia. Elara and Ivy hitch a ride, Véres hears some gossip, and they give some advice to an aspiring adventurer.Content Warnings: Rumor mill, talk of deceased loves ones within rumor mill, toxic and complicated romantic relationships, brief electrocution, goo retrieval, reference to nightmares, romantic and sexual relationships, and profanity.Tales of Three is an all-queer, dark fantasy dnd podcast where your three Game Masters are also your three Players!If you like what you hear please tell your friends about us & consider giving us a 5 star review! It's a quick and easy way to show your support for small creators whose content you enjoy!Follow the Cast:Arianna as Elara SpinelsparkDusty as Ivy Nightbreeze-TinkerfeyWayra as VéresFind our socials here!Want to chat with the cast, talk spoilers, play games, and make new friends? Join our Discord!If you want to help keep the podcast running and get access to bonus content check out our Patreon or buy us a coffee on Ko-fi!Special thanks to SG for theme song, Chriss for the logo, Fenn & Ely for the character art!Background music and SFX by Epidemic Sounds & Monument Studios.
244 - Michael Sweet (Solo, Stryper, Boston) In episode 244 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with singer and guitarist Michael Sweet most recognizable from his band Stryper but also was in the band Boston and Sweet and Lynch among other projects. In their conversation Michael tells us why a solo album… it's his 11th solo album and tour plans behind the album. Michael discusses his home in Massachusetts and his time as the worship leader at his home church. Michael takes us through his youth in Southern California and his original band Rox Regime that played a lot with the hair bands whose names we all know and the transformation to Stryper. Michael takes us through his gear through the years and his obsession with tone and how the yellow and black color scheme came about and the guitars he's currently playing Sully electrics and Godin acoustics. Michael talks about his guitar hero's early on and he talks about his home studio as well as the studio where the band tracks and mixes… and he talks about his production work for his band. Michael takes us through his work with George Lynch and the band Boston and the possibilities of working with them again. Michael talks about the future of Stryper and the logistics of getting the band together with all the members living around the country and he talks tour plans. To find out more about Michael you can go to his website: michaelsweet.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #MichaelSweet #Stryper #Boston #SullyGuitars #TheMasterPlan #JamesPatrickRegan #SweetandLynch #theDeadlies #MarshallAmplifiers #RoxRegime #haveguitarwilltravelpodcast #HGWT #tourlife Please like, comment, and share this podcast! Download Link
Frank is joined by Guest Host Kate Willaert, author, historian, and YouTuber, to interview Jeremy Parish, media curator at Limited Run Games, author, YouTuber, and podcaster. Jeremy has a series of “Works” books and videos as part of a massive project to chronologize the 8-bit era. Jeremy's work covers various consoles, including Game Boy, NES, SG-1000, and Famicom, highlighting the significance of third-party developers and the impact of the NES on game design. We share a universal complaint of the challenges of maintaining a comprehensive and accurate release list for systems like the SG-1000 and the importance of community feedback in refining our work. The conversation touches on the potential for both future projects and genre-specific series, such as Metroidvania and Shmup games.You can listen to the Video Game History Hour every other Wednesday on Patreon (one day early at the $5 tier and above), on Spotify, or on our website.Mentioned in the show: Jaws Retro Edition (pre-orders closed): https://limitedrungames.com/collections/all-in-production/products/jaws-retro-edition-bigger-boat-edition-switch-ps5?_pos=3&_sid=a0a6bd1b1&_ss=r See more from Jeremy Parish:Bluesky: @jparish.bsky.social Youtube: @JeremyParish Podcast: patreon.com/retronauts Website: limitedrungames.com See more from Kate Willaert:Bluesky: @katewillaert.bsky.socialYouTube: /a critical hitWebsite: acriticalhit.comPatreon: /acriticalhitVideo Game History Foundation:Email: podcast@gamehistory.orgWebsite: gamehistory.orgSupport us on Patreon: /gamehistoryorg
How do you keep growing fast without breaking your business?In this Owned and Operated supercut, John Wilson pulls together his favorite moments from recent conversations on what actually snaps when you scale: cash, leadership bandwidth, and the frontline experience that drives revenue.You'll hear why growth is expensive (in trucks, infrastructure, and overhead), how disciplined operators reinvest instead of upgrading their lifestyle too early, and why “the war is won inside the home” no matter how good your dashboards look.If you're running HVAC, plumbing, electrical, or roofing and feeling the strain of growth, this episode gives you the frameworks—and the hard truths—to keep momentum without chaos.In this episode, you'll learn:Why growth consumes cash (and how to plan for it)The “overhead body” you must build early: leadership, CX, SG&A, marketing, purchasingHow owners stall out by pulling cash too early (the lifestyle trap)Why playbooks beat ego: don't reinvent the wheel (Nexstar and more)Why frontline obsession matters more than dashboardsHow onboarding + clear pay plans create a culture that performsConnect: John Wilson: https://x.com/WilsonCompanies
Once you reach a certain level, there is no ‘better'…it's different.” Released on August 19, 1983, FLICK OF THE SWITCH (the 9th studio album by AC/DC and the 3rd featuring Brian Johnson on the mic) is what some fans might call their “White Album” (arriving after their “Black Album” and “Bronze Album”, respectively), showing a black and white grayscale drawing of a lone Angus pulling down some massive power, so to speak. “That's literally ‘Bad To The Bone' and ‘In My Time Of Dying'…” While self-produced by the band and containing a much rawer production and drier mix than the ultra-produced Mutt Lange masterpieces which came before it, FLICK OF THE SWITCH is a back-to-basics approach showing the band embracing more of their earlier blues based sound while still remaining faithful to the signature, high-energy, up-tempo jams which have become their calling card. It's loud, straight ahead, and powerful, and while perhaps not as uber popular as the 3 albums that preceded it, FLICK is still very much an important album in the AC/DC catalog and one that would serve as a “connector” between where they had been and where they were headed. “We could have a rated R show…it doesn't have to be X…” We're finally back on track after getting derailed by the weather. Always remember to “wait ‘til it has some viscosity to it…” and then JOIN US for a “night time” dive into the album that would serve as the bridge into the next era of AC/DC with “The White Album” known as FLICK OF THE SWITCH. Visit www.metalnerdery.com/podcast for more on this episode Help Support Metal Nerdery https://www.patreon.com/metalnerderypodcast Leave us a Voicemail to be played on a future episode: 980-666-8182 Metal Nerdery Tees and Hoodies – metalnerdery.com/merch and kindly leave us a review and/or rating on your favorite Podcast app Follow us on the Socials: Facebook - Instagram - TikTok Email: metalnerdery@gmail.com Can't be LOUD Enough Playlist on Spotify Metal Nerdery Munchies on YouTube @metalnerderypodcast More ACDC Episodes: https://www.metalnerdery.com/acdc Show Notes: (00:01): #selfconsciousness / “Hold on…you don't know what you're asking for…”/ #darkcomedy / “It's kinda like…being in a cover band and having you guys show up when we play #POISON…”/ #carriesunderwear / “I need a rage truck…”/ “I like doing it…it's fun…”/ “A little bit…only if you push back…”/ ***WARNING: #listenerdiscretionisadvised ***/ “Synching up…locking in…”/ ***WELCOME BACK TO THE METAL NERDERY PODCAST (NIGHT TIME EDITION) ***/ #coveryourmouth / “I'm building up my immunity system…”/ “It could have been me…”/ #AIDSFlu / “It takes a flu nap is what you're saying…”/ #homemadelube / “Wait til it has some viscosity to it…” (05:55): EMAIL US at metalnerdery@gmail.com & PATREON US at patreon.com/metalnerderypodcast / #HailToTheBenton / “Dude, the Hog Story is worth the price of admission…”/ “Oh yeah…when we get done…I need to show you guys something…”/ “It's like zazz and zhuzh…”/ #NWOOSTM / “Here's what I hate about Marshalls…”/ #Traitor REACTOR IV (Venomizer – 2016) / #1986 / #incomplete / “You know what dude, that's the best #BackstreetBoys song…”/ #Enmy – LEDGE / #melody / “It's the hard stop…and then super soft…”/ #markthetime / “I wasn't expecting to like that…”/ “No Slayer of the Episode?”/ #anush #penish / #SlayerOfTheEpisode / #Slayer HALLOWED POINT (Seasons In The Abyss – 1990) / “And just like that…all is right in the world…”/ “It's all 7's…” (22:47): #TheDocket METAL NERDERY PODCAST PRESENTS: AC/DC – FLICK OF THE SWITCH / #ACDC #TheWhiteAlbum / “I don't remember being 10 and listening to AC/DC…” “It's black and white in grayscale…”/ Released August 19, 1983 / “Doing AC/DC always takes me back to childhood…”/ “In the For…Flick…Fly category, Flick is in the middle there…” / “It's 3-D and you can feel the texture…”/ Recorded in Nassau, The Bahamas with Robert John “Mutt” Lange / “He's the Bob Rock of the 80's…”/ “Their sound is menopause…”/ RISING POWER / “I feel like it was a little slow to start…”/ “#Pyromania btw was January 20 (1983)…”/ “I don't know what that is: a desert vagina kinda…”/ THIS HOUSE IS ON FIRE / “They should have swapped those two…”/ “Mega ultra mother fucking super stardom…” (33:23): FLICK OF THE SWITCH / “I think every band has a ‘connector' album…”/ “That's a good episode…3 albums in a row…”/ “Use penal clean…”/ NERVOUS SHAKEDOWN “Two words…slower and sleazier…”/ “You know what the leading cause of death is for nymphomaniacs is?”/ “We could have a Rated R show…it doesn't have to be X…”/ #killercloser / LANDSLIDE / “What a great closer for Side 1…”/ “That riff…reminded me of this…”/ PLAYING WITH GIRLS (Fly On The Wall – 1985) / “I try to hold this thing together…” (38:38): GUNS FOR HIRE / “Turn this up to loud…” / “Once you reach a certain level, there is no ‘better'…it's just different.”/ DEEP IN THE HOLE / “I'm over A.I…”/ “I cup the balls, I go all the way…” (45:34): BEDLAM IN BELGIUM / “Side 2 better than Side 1…” / “It's really close to ‘Fly On The Wall'…” / BADLANDS / “That's literally ‘Bad To The Bone' and ‘In My Time Of Dying'…”/ “I feel like he does that in the studio…”/ SG vs Les Paul / #markthetime / BRAINSHAKE / #killercloser / “That sounds like an AC/DC closer…”/ “It's only 8 minutes longer than Reign In Blood…”/ “It sounds like a good bridge to ‘Fly On The Wall'…”/ “It's the bridge between the old and the next…”/ Bands with great 3-album runs / THANK YOU FOR JOINING US!!!/ #untilthenext #outroreel
NBA Trade Season woke up in a BIG way. Friend of the show Coach Andy Godnick joins to talk Harden for Garland, Jaren Jackson Jr to Utah, Vucevic to Boston and what more is to come for the trade deadline! For your main course: ranking the top 4 prospects in the upcoming NBA draft, which may be the best in recent memory. Details below...Timestamps: James Harden for Darius Garland reaction (2:33), Vucevic to Boston (14:00), Jaden Ivey to Chicago (18:40), JAREN JACKSON JR to UTAH (21:45)TOP NBA DRAFT PROSPECTS (39:00), Darryn Peterson's superstar SG potential (39:20), Cam Boozer: Star or Elite role player (48:00), Caleb Wilson: Our draft darling (1:02:20), AJ Dybantsa: Overhyped? (1:15:00)Thank you for listening. Follow/rate us here and on X @drewsemler and @maxklotz_
243 - Kurt Baker (solo, the Leftovers) In episode 243 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with bassist, guitarist and bandleader Kurt Baker. In their conversation Kurt tells us about living in Brooklyn and working for Little Steven's record label “Wicked Cool Records” a label that he's also recording for. Kurt discusses his new single and when he might release a new album and his style of Power Pop music. Kurt describes how he got hooked up with Wicked Cool and how he eventually started working for the label. Kurt tells us about living and playing his music in Spain before working for Little Steven. Kurt talks about his musical history growing up in Maine and his band “the Leftovers” (one of the first bands to do video blogs) and why that band disbanded and what made him go solo. Kurt describes his gear both his basses and his guitars and his Ampeg, Orange and VOX amps and he describes the backline situation in New York. To find out more about you can go to his socials as kurtmiltonbaker or his bandcamp page: kurtbaker.bandcamp.com and check out Kurt's music it's refreshing. Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #KurtBaker #theLeftovers #WickedCoolRecords #LittleStevensUndergroundGarage #FenderBass #EpiphoneGuitars #PrecisionBass #AmpegAmps #JamesPatrickRegan #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife Please like, comment, and share this podcast! Download Link
Silvana, Eric and Tegan watch Stargate SG-1 Season 6 Episode 15 "Paradise Lost." The bromance between Jack and Colonel Maybourne is back with a vengeance. The queerbaiting is off the charts from the very beginning with the hot dog jokes. Maybourne springs his new plan to avoid being imprisoned and convinces the SGC to authorize a mission to a planet that he claims has a cache of goa'uld weapons. As expected, SG-1 is double crossed but Jack accidentally goes through a portal with Maybourne with no way to get back to the Stargate. Sam, Jonas and Teal'c are back on earth trying to find Jack with the not very helpful assistance of Dr. Bill Lee. There is a touching moment between Sam and Teal'c which acknowledges the loss of Daniel. What did you think of this episode? Join the conversation on our socials. Episode ratings: Comedic Effect - 7/7 chevrons Emotional Impact - 6/7 chevrons Enjoyability - 6/7 chevrons Culture/history/lore - 3/7 chevrons Novelty - 2/7 chevrons Technical Quality - 5/7 chevrons Plot -5/7 chevrons Relevance to the overall story? Yes relevant, do not skip
Gate those stars! This week, Emily and V take a look at fannish campaigns to save beloved TV shows and beloved characters, focusing on one in particular: the campaign to bring Daniel Jackson back to Stargate SG-1. From mailing marshmallows to taking out ads in Variety and The Hollywood Reporter, fans have done all kinds of things to make their voices heard by TPTB. Were they successful in bringing back Daniel Jackson (and saving SG-1's premiere slash ship, natch)? Join us in our scifi spaceship to find out! Sources Fanlore Daniel Jackson Divas And again. Alison Grieves for Daniel Jackson and SG-1 Salon Emily's spreadsheet of fan campaigns! LIVE SHOW ANNOUNCEMENT! We'll be attending TGIF/F aka TGI Femslash, which is a small femslash fan con in southern California over Valentine's Day weekend in February. It'll be the con's ten-year anniversary, and they've asked us to do a special, live podcast episode about the history of the con as their special highlighted programming. If you love femslash and want to come meet us and be a part of this wonderful, small event, you should register! A 3-day pass starts at $120. You can register for the con and find lots more details at tgifemslash.com! Promo Codes Aim High Brooch Designs - For 25% off any order on Aim High Brooch Designs on Etsy, including a custom brooch, bag charm, keychain, or magnet design, use the promo code TWIFH. This Week In Fandom History is a fandom-centric podcast that tells you… what happened this week in fandom history! Follow This Week in Fandom History on Tumblr at @thisweekinfandomhistory You can support the show via our Patreon at http://www.patreon.com/thisweekinfandomhistory. If you have a fannish company, event, or service and would like to sponsor or partner with TWIFH, please contact us via our website. Please remember to rate the show 5 stars on your listening platform of choice!
The cannabis industry is more competitive then it was 5-10 years ago. But that doesn't mean it's broken. In this episode, I talk with Jeff Wissink, Partner at Paladin Restructuring. We cover what's really happening inside cannabis businesses today. We cover what is forcing owners to rethink where they spend money, when to engage a restructuring professional and why growing through M&A is harder than it looks. The message is clear: the rules changed, and smart operators are adjusting.Jeff explains Paladin's two main ways of helping companies. Restructuring is for emergencies like missing payroll, missing debt covenants or running out of cash. Performance improvement is about fixing problems early so the business can make more profit and avoid a crisis. Using his past experience as a cannabis COO, Jeff shares why one simple number SG&A as a percent of revenue can show what's working and what's not. He also explains why cutting back too much on finance and HR can hurt growth. And why waiting until the last minute leaves very few good choices. We wrap up by talking about leadership, survival, and what comes next for cannabis. Jeff uses a fun example of kids all chasing the soccer ball to explain why clear roles matter as companies grow. He also breaks down why retail is costly and why strong operations matter more than hype. He is nice but honest, if owners and investors focus on cash flow, teamwork, and smart systems now, they'll be in a great spot when the industry settles down and new opportunities open up.
242 - Axel Ellis (the Runarounds, Ax and the Hatchetmen) In episode 242 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with Axel Ellis guitarist for the band/Amazon Prime Show “the Runarounds” and his band “Ax and the Hatchetmen”. In their conversation Axel gives us a little history of the band, a band that was cast for the Amazon show. Initially auditioning with his whole band for what they thought was a guest spot on an established show. Axel takes us through his musical history growing up in the suburbs of Chicago with parents that loved music and initially studying flamenco guitar before moving on to jazz and then rock. Axel describes how the show's characters mirrors his own start in music. Axel tells us about the benefits of being on a tv show, not just the fame and money, but the sponsorships from gear companies. Axel talks about his gear both for the Runarounds tv show, the bands tour that he's on now and for his other band “Ax and the Hatchetmen” Axel discusses the logistics for the band as far as being spread apart around the country for songwriting and rehearsals. Axel gives us his thoughts on his future of his band, the Runarounds band and the tv show's potential second season. To find out more about Axel you can go to his band website: axandthehatchetmen.com or the website for the Runarounds: therunarounds.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #AxelEllis #theRunarounds #AmazonPrimetheRunarounds #AxandtheHatchetmen #GretschGuitars #WhiteFalcon #SuproAmps #JamesPatrickRegan #theDeadlies #haveguitarwilltravelpodcast #HGWT #tourlife Please like, comment, and share this podcast! Download Link
In today's episode of Motley Fool Money, host Emily Flippen is joined by analysts Jason Hall and Asit Sharma to dive into three recent stories where the operating system underneath a business has started to matter more than the companies above it. They discuss: - Nvidia's $2 billion investment into CoreWeave and how AI infrastructure is colliding with physical constraints - How restaurant tech is pushing the limits on throughput - A rare-earth deal between private companies and the U.S. government highlighting what are issues of national security Companies discussed: NVDA, CRWV, TOST, SHOP, CAVA, SG, WING, USAR Host: Emily Flippen, Jason Hall, Asit Sharma Producer: Anand Chokkavelu Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices
It's telling to hear NATO's future is not “guaranteed” according to a former NATO boss. After a jaw-dropping US threat to take Greenland shocked the world. President Trump's first year back in power is also overshadowing the United Nations' 80th milestone. Prompting calls to retool the world's top diplomat. In this episode of Disorder, hosted by Mark Lobel, the former head of NATO tells Disorder we should make the United Nations Secretary-General the "chairman" of the Security Council. Brazil's former Ambassador to the United Nations says the role should be a single mandate term of six or seven years, "to retain the willingness to displease certain sources of power”. Recorded at a special UNA-UK event, George Robertson and Ambassador Antonio Patriota reveal how Donald Trump's disorderly approach is causing a major re-think of organisations and leadership in the world. Speaking in the same building that ushered in the United Nations General Assembly in 1946, exactly 80 years ago this month. The Brazilian Ambassador to the UK didn't hold back ... On Venezuela: “I feel very uncomfortable as a South American to witness an intervention that is a flagrant violation of international law.” On Nigel Farage joining climate talks: “I don't think (he's) very eager to engage on this topic” On presenting the Nobel Peace Prize to Trump: “As a South American, I felt embarrassed by this gesture, because I don't think it enhances anybody's dignity to do that.” Plus - George Robertson tips a British politician as the next big thing ... and it's not who you expect! Stay news of a special live event with Disorder and the UNA-UK for mega orderers, and to join our Mega Orderers Club and come along, and get ad-free listening, early release episodes, and bonus content, visit https://disorder.supportingcast.fm/ Producer: George McDonagh Subscribe to our Substack - https://natoandtheged.substack.com/ Disorder on YouTube - https://www.youtube.com/@DisorderShow Show Notes Links: You can get in touch with Mark, to host or speak at your event here: https://www.mark-lobel.com/getintouch To join our Mega Orderers Club in honour of Greg, for ad free listening and early release episodes, visit https://disorder.supportingcast.fm/ UNA UK website www.una.org.uk UN official article summarising the event - https://news.un.org/en/story/2026/01/1166783 Gordon Brown's call to action for democracies to reinvigorate the international order, highlighting the Attorney General's speech at the event - https://www.theguardian.com/commentisfree/2026/jan/20/donald-trump-greenland-world-plan-leadership Devex video interviews on Insta - https://news.un.org/en/story/2026/01/1166783 Sky News - 'Is the US attacking the UN's principles?' (Interview with the President of the General Assembly) https://news.sky.com/video/is-the-us-attacking-the-uns-principles-13495782 The Guardian - 'Guterres warns of ‘powerful forces' undermining ‘global cooperation.'' https://www.theguardian.com/world/2026/jan/17/antonio-guterres-warns-forces-undermining-global-cooperation-un-80th-anniversary-secretary-general-multilateralism-international-law NPR - 'United Nations leaders bemoan global turmoil as the General Assembly turns 80.' https://www.npr.org/2026/01/18/nx-s1-5678366/united-nations-general-assembly-80-london#:~:text=LONDON — Just over 80 years,the importance of international cooperation. Full speech by SG: https://webtv.un.org/en/asset/k1u/k1uo45t198 Learn more about your ad choices. Visit megaphone.fm/adchoices
What do Inception, Tim Robinson, Luis Buñuel, Woody Allen, and Chantal Akerman have in common? They all get compared to Hong Sang-soo's On the Beach at Night Alone in this episode of Deep Cut! Listen on as we unpack the movie that's loosely about Hong's and Kim Min-hee's career-changing relationship, digest more awkward dinner scenes, and discuss the merits of going to the beach in the winter.Links:Scold your friends for being inauthentic at our FREE patreon, discord server, and our socials @ www.deepcutpod.com Timestamps:00:00 Intro02:31 General reactions08:00 Context / Hong+Kim relationship14:32 SG public opinion survey18:04 Hong Sang-soo's 'Inception'20:08 Hong Sang-soo / Tim Robinson21:43 Hong / Buñuel25:45 Hong not planning era27:17 Ryan Swen Notarized and dinner scene33:16 What to do with this movie?38:13 Hong's Chantal Akerman41:10 Hong as Woody Allen
Yoo people in this weeks episode we have our bro on SG! We talk about what kind of parents we want to be, how we are planning to raise young black sons and SG talks us through how to rose to be senior footballing scout in the UK. We hope the Triple B Dry Jan Fast is going well. We're nearly at the end now, so let's keep pushing, keep sending in your videos, pictures, and messages, and let's finish strong! As always, any dilemmas or testimonies please send through !
What does real faith look like under fire? Jeff Haecker, Lisa Jones, and Victor Lams unpack sacrifice, belief, and resistance as SG-1 tests dangerous tech, Vala challenges false gods, and the Ori reveal their true nature. The post Line in the Sand (SG1) appeared first on StarQuest Media.
Fast casual restaurant stocks were hit hard over the past year, but many have snapped back over the past month. In today's episode of Motley Fool Money, Emily Flippen is joined by Fool analysts Sanmeet Deo and Jason Hall to break down what has caused the rebound, how consumer tastes have changed, and if fast casual stocks are set up for continued strong performance in the year ahead. Companies discussed: CAVA, CMG, SG, WING, EAT, SBUX, MAMA, JBFCF, YUM Host: Emily Flippen, Sanmeet Deo, Jason Hall Producer: Anand Chokkavelu Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices
241 - Boy Golden In episode 241 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with singer/songwriter and producer Boy Golden aka Liam Duncan. In their conversation Liam describes his upcoming tour schedule in Canada and growing up in rural Manitoba in the cold. Liam talks gear, his guitars and amps and his collection of Russian microphones and a special guitar labeled Garnet after the amp maker. Liam tells us about his earlier band “the Middle Coast” before he went out as Boy Golden and he explains the Boy Golden moniker. Liam talks about his time as the keyboardist for the Bros. Landreth and his influences early on. Liam discusses his new album “Best of Our Possible Lives” and the personal on the album and he also describes his home studio. To find out more about Boy Golden you can go to his website: boygolden.ca Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #BoyGolden #theMiddleCoast #LiamDuncan #Manitoba #theBrosLandreth #YamahaGuitars #JamesPatrickRegan #BestofOurPossibleLives #theDeadlies #HomeStudio #haveguitarwilltravelpodcast #HGWT #tourlife Please like, comment, and share this podcast! Download Link
In most companies, budget season is a predictable exercise in "incrementalism," taking last year's numbers and adding a 5% bump. But what happens when leadership drops a bomb and says, "This year, we start from zero"?In this episode of Corporate Finance Explained on FinPod, we explore Zero-Based Budgeting (ZBB), a high-stakes financial framework in which every dollar must earn its right to exist. We unpack the mechanics of ZBB, the "Save to Grow" mindset, and the cautionary tales of companies that saved themselves into obsolescence.ZBB vs. Traditional Budgeting: The Logic FlipThe fundamental difference between ZBB and the status quo is a shift in perspective:Traditional Budgeting: Asks, "How much more or less do we need than last year?" It is comfortable, based on precedent, and often hides "historical entitlement."Zero-Based Budgeting: Asks, "If we were building this function from scratch today, what would we actually fund?" It treats every expense as discretionary and requires a strategic justification for every line item.The Mechanics: Decision Packages and Tiered FundingThe core engine of a successful ZBB program is the Decision Package. Rather than funding a department, leadership funds specific activities using a three-tiered approach:Minimum Level: The "keep the lights on" spend. The bare minimum required for operations and regulatory compliance. Current Level: Business-as-usual spending. Enhanced Level: Discretionary funding for innovation, R&D, and new customer acquisition.This framework allows leadership to make strategic trade-offs. For example, funding a "minimum" level for administration to prioritize "enhanced" funding for revenue-driving marketing.Case Studies: The Scalpel vs. The AxeKraft Heinz (The Warning): Following a 2015 merger, the company applied a "ruthless" ZBB model. While margins shot up instantly, they cut too deeply into R&D and brand-building. The result was massive brand erosion and billions in write-downs. Unilever (The Blueprint): In response to market pressure, Unilever adopted a "Save to Grow" ZBB model. They targeted specific SG&A categories but "ring-fenced" strategic areas like innovation. Savings were immediately reinvested in the business, proving that ZBB can be a tool for growth, not just austerity.The Role of FP&A: From Scorekeeper to ArchitectWithout a strong Financial Planning & Analysis (FP&A) team, ZBB is just a spreadsheet exercise. In a ZBB environment, FP&A professionals must:Define Cost Drivers: Moving away from "last year's bill" to metrics like transaction volume or headcount.Assign Ownership: Ensuring the person who owns the activity is the one defending the spend.Differentiate Costs: Protecting "Change the Business" costs (future investments) from being swallowed by "Run the Business" costs (daily operations).
This Sunday school lesson talks about the power of bold and humble prayers. What I keyed in on was how Abraham used that power. Genesis 18:16-25 God has a role for Abraham and his family to play in his plan—a ministry. This is the first time he brings him into it. S&G are unjust and cruel. Abraham advocates…
Tales of Three Campaign OneArc 2.1: OladellEpisode 69: A Gift and a Departure Join us as we say goodbye to Oladell! Our trio accept a gift from Velrith and head off on their next adventure.Content Warnings: Reference to alcohol consumption and being drunk, and Profanity Tales of Three is an all-queer, dark fantasy dnd podcast where your three Game Masters are also your three Players!If you like what you hear please tell your friends about us & consider giving us a 5 star review! It's a quick and easy way to show your support for small creators whose content you enjoy!Follow the Cast:Arianna as Elara SpinelsparkDusty as Ivy Nightbreeze-TinkerfeyWayra as VéresFind our socials here!Want to chat with the cast, talk spoilers, play games, and make new friends? Join our Discord!If you want to help keep the podcast running and get access to bonus content check out our Patreon or buy us a coffee on Ko-fi!Special thanks to SG for theme song, Chriss for the logo, Fenn & Ely for the character art!Background music and SFX by Epidemic Sounds & Monument Studios.This week we're featuring our friends at Somebody's Heroes Podcast. Check out their podcast here!
240 - Joel Hoekstra In episode 240 of “Have Guitar Will Travel”, presented by Vintage Guitar Magazine, host James Patrick Regan speaks with guitarist Joel Hoekstra, in their conversation Joel describes living in New York City and growing up in the suburbs of Chicago with his parents who were both classical musicians and Joel tells us why he didn't pursue piano. Joel describes the impact of seeing AC/DC on MTV as a kid which slowed his sports interests. Joel describes his gear starting on his stepmom's guitar and he discusses his guitars from then on… and how he got the collecting bug and he discusses his custom Gibson's and Jackson's and the guitars he uses for each of his gigs. Joel tells us about his first bands through his gigs with Trans Siberian Orchestra, Whitesnake, Night Ranger, Jim Peterik, Cher… as well as his time spent as a pit guitarist for Broadway shows like Rock of Ages and Love Janis. Joel talks about using in-ear monitors and hearing loss and Joel talks about his time at GIT in Hollywood and working at Cherokee Studios. Joel discusses his new album “From the Fade” and the personal on the album and the chances for a tour and he describes the other projects he's working on: Revolution Saints, Hoekstra Gives, teaching remote lessons, Broadway's Rock of Ages band and Iconic (which includes a lot of his former Whitesnake bandmates as well as time spent producing other artists. Finally Joel tells us about what he does when he's not playing guitar… his kids, and anything to escape music and plans to go to NAMM next week. To find out more about Joel you can go to his website: joelhoekstra.com Please subscribe, like, comment, share and review this podcast! #VintageGuitarMagazine #JoelHoekstra #Whitesnake #TransSiberianOrchestra #JacksonGuitars #GibsonCustomShop #JamesPatrickRegan #FromtheFade #theDeadlies #NightRanger #RockofAges #Hoekstra13#haveguitarwilltravelpodcast #HGWT #tourlife Please like, comment, and share this podcast! Download Link
Season 6 Episode 21: Prophecy Jonas Quinn aka Corin Nemec tries to impress the Gang one final time by developing PreCog Abilities that can save them from certain disaster. As they're trying to figure the situation on a super poor planet with bad food but some decent Naquadah reserves, the Gang decide to forget about the last six season, and just not listen to the man. Teal'c, you forget about the invisible bugs episode!? CARTER, YOU WERE A FREAKIN GOTHIC COMPUTER AI!! But precog abilities? Impossible! Daddy Hammond finally believes him, and through some weird machinations of quantum mechanics, his future predictions don't come true, and the mountain base and the poor planet are saved. Unfortunately, we can't say the same for the character of Jonas, and Corin Nemec's future with SG-1. It sucks. ----more---- 00:00 - Intro 6:08 - 24 Seconds 7:53 - Episode Debrief 1:09:03 - Were We Comforted 1:10:50 - Yeh Neh or Meh 1:14:00 - Next Episode 1:16:13 - ComeTrya! 1:17:25 - Get To Know Your Hosts 1:19:36 - Outro
The Automotive Troublemaker w/ Paul J Daly and Kyle Mountsier
Shoot us a Text.Episode #1241: CarMax leans on price cuts and marketing to spark sales, Toyota takes its iconic Hilux electric in Europe, and Walmart keeps scaling drone delivery as demand grows.CarMax is shifting back to fundamentals as sales and earnings continue to slide. The company will cut prices, trim costs, and increase marketing to regain momentum heading into 2026.Q3 results saw unit sales down 8% and earnings down 50% year-over-year.CarMax will use targeted price cuts to spark demand, not blanket reductions.The company is lowering margins while boosting marketing to drive traffic.SG&A will be cut by $150M annually despite increased ad spend.“Our average selling prices have drifted upward and appear to be less attractive to customers,” said Interim CEO David McCreight.Toyota just electrified one of its most important global trucks. The Hilux made its first European appearance as a full EV, signaling Toyota's pickup electrification push—just not for North American buyers.Toyota debuted the Hilux BEV at the Brussels Motor Show, and uses a 59.2 kWh battery, offering up to 160 miles WLTP range, or 236 miles in city driving.With AWD and 473 Nm of torque, it can tow 1.6 tons and haul over 1,500 lbs, keeping its work-truck credibility.Europe gets the Hilux BEV in April, but the truck isn't sold in the U.S.—and Toyota isn't signaling that will change.Alphabet-owned Wing is dramatically expanding its on-demand drone partnership with Walmart, signaling that flying groceries and meds are becoming a real part of everyday commerce.Wing will expand drone delivery to 150 more Walmart stores, building on pilots in Dallas-Fort Worth and Atlanta.Wing's top 25% of customers order three times per week, mostly groceries like eggs, ground beef, produce, and snacks.Once complete, Wing will operate from 270+ Walmart locations, reaching roughly 10% of the U.S. population.Walmart remains Wing's primary commercial partner, even as the company continues testing larger drones capable of carrying five-pound payloads.Wing's new chief business officer Heather Rivera: “Volume is definitely powering our flywheel.”Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/
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