Podcasts about Good Will Hunting

This week on Born to Watch, it's time for our Air Force One Movie Review, the movie review podcast where we don't take the movies or ourselves too seriously. Whitey, G-Man, and Will the Worky climb aboard one of the most patriotic action films ever made, as Harrison Ford swaps his whip and fedora for the Oval Office and proves that sometimes the President really can save the day.Released in 1997 and directed by Wolfgang Petersen, Air Force One became one of the biggest blockbusters of the year, delivering a simple but irresistible premise. Terrorists hijack the President's plane, take his family hostage and quickly discover they've picked a fight with a Commander-in-Chief who just happens to be a Medal of Honour recipient.The boys dive into whether this 90s action favourite still holds up almost three decades later, or whether nostalgia is doing most of the heavy lifting.Harrison Ford once again proves why he remains one of Hollywood's greatest accidental heroes. Whether he's Han Solo, Indiana Jones, Dr Richard Kimble or President James Marshall, Ford has a knack for making ordinary people believe they can survive extraordinary situations. The team discusses why his grounded style works so well and why he's able to elevate even the most over-the-top action movies.Of course, no discussion of Air Force One would be complete without Gary Oldman. His performance as terrorist Ivan Korshunov is as intense as ever, even if the boys question whether one of cinema's greatest actors deserved a stronger script. Along the way, they celebrate Oldman's incredible career, from Leon and True Romance through to The Dark Knight, Darkest Hour and beyond.As always, the movie quickly becomes secondary to the ridiculous questions that only Born to Watch can ask.Just how many parachutes does Air Force One actually carry?Why is everyone smiling after jumping out of a plane somewhere over Kazakhstan?Does a 1997 satellite phone really keep working at 20,000 feet?Why is there an endless supply of drinks hidden in the cargo hold?And how exactly does one MiG fighter somehow survive an entire squadron attack just so the movie can have one more action sequence?The crew also takes aim at some wonderfully cheesy taglines, debates whether this is one of cinema's greatest presidential action thrillers, and wonders if Australians will ever truly understand America's obsession with the presidency.Elsewhere, G-Man delivers another outstanding Ordinary People segment, covering Harrison Ford, Gary Oldman, Glenn Close and a cast full of "that guy" character actors you've seen in dozens of movies. There's also a look back at the massive year that was 1997, including Titanic, Men in Black, The Lost World: Jurassic Park and Good Will Hunting.Hit, Sleeper or Dud returns with another trio of recommendations, including Wesley Snipes' underrated Murder at 1600, the Spanish original that inspired Vanilla Sky, and one of the greatest movie titles ever discovered in the Dud category.As always, expect plenty of laughs, terrible impressions, completely unnecessary tangents, and more than a few moments where the logic of Hollywood action films is left hanging out the side of the aircraft.So buckle up, secure your tray table, prepare for decompression, and remember one thing...Get off my podcast!If you enjoy what we do, we'd love your support. Subscribe wherever you listen, leave us a five-star review, share the episode with your mates, and follow Born to Watch across social media. Every listen helps us keep celebrating the movies we all grew up with, one ridiculous review at a time.#AirForceOne #HarrisonFord #GaryOldman #WolfgangPetersen #MovieReview #BornToWatchPodcast #90sMovies #ActionMovies #FilmPodcast #GetOffMyPlane

This episode of the Billy and Lisa in the morning podcast is a fun and entertaining ride, filled with laughter, games, and thought-provoking conversations. The hosts, Billy and Lisa, dive into a series of "Would you rather" questions, challenging each other and their producer to make tough choices. From having a head the size of a tennis ball or a watermelon, to eating too large chicken parmesan subs or an entire chicken parmesan pasta plate, the options are endless and hilarious.The hosts also discuss their favorite Boston movies, with Billy and Lisa sharing their top picks from a bracket of iconic films. They debate the merits of Good Will Hunting, The Town, and The Departed, among others, and reveal their personal connections to some of the movies. The conversation is engaging and light-hearted, making for a great listen.In addition to the games and movie talk, the hosts also discuss a series of real or fake news headlines, testing each other's knowledge and critical thinking skills. They also chat with a special guest, Maria Menounos, about her career, health journey, and new wellness initiative, Heel Squad.If you're looking for a fun and entertaining podcast that's a little bit different, this episode of Billy and Lisa in the morning is a great choice. Tune in to hear the hosts' hilarious banter, thought-provoking conversations, and inspiring stories. Listen to the full episode on the iHeartRadio app or wherever you get your podcasts.See omnystudio.com/listener for privacy information.

IS THIS THE MOST INSPIRING SCI-FI MOVIE EVER MADE?! With Matt Damon starring in Christopher Nolan's THE ODYSSEY + Project Hail Mary bringing another Andy Weir story to the big screen, Tara Erickson & Jackie Bonsignore react to The Martian (2015) — Ridley Scott's acclaimed adaptation of the bestselling novel. From potato farming and "science the hell out of this" problem-solving to the Rich Purnell Maneuver and the unforgettable Iron Man rescue, this The Martian reaction dives into one of the most uplifting sci-fi adventures ever made. The Martian (2015) Reaction (Full Length Watch Along):   / thereelrejects   -Click http://kalshi.com/r/rejects to check out the Avengers/Hulk market yourself, and get $10 when you trade $10 with code rejects. In this The Martian reaction, sci-fi movie reaction, and review, Tara & Jackie experience the survival story of Mark Watney, played by Matt Damon (The Bourne Identity, Good Will Hunting), a NASA astronaut stranded on Mars and forced to rely on science and ingenuity to stay alive. His journey sparks a global rescue effort led by Commander Melissa Lewis, played by Jessica Chastain (Interstellar, Zero Dark Thirty), alongside Vincent Kapoor, played by Chiwetel Ejiofor (12 Years a Slave, Doctor Strange), NASA Director Teddy Sanders, played by Jeff Daniels (The Newsroom, Dumb and Dumber), and Mitch Henderson, played by Sean Bean (The Lord of the Rings, Game of Thrones). The film also features Kristen Wiig (Bridesmaids), Michael Peña (Ant-Man), Kate Mara (House of Cards), and Sebastian Stan (Captain America: The Winter Soldier). Featuring memorable moments like the habitat disaster, the loss of Watney's potato farm, the Pathfinder breakthrough, and the crew's daring return, The Martian blends science, humor, and emotion into a thrilling crowd-pleaser. Directed by Ridley Scott (Alien, Gladiator) and written by Drew Goddard (The Cabin in the Woods, Daredevil), the film remains one of the most beloved sci-fi movies of the 21st century. As anticipation builds for Project Hail Mary (2026), Tara & Jackie revisit the movie that proved science can be just as exciting as any blockbuster. Follow Tara Erickson: Youtube: https://www.youtube.com/@TaraErickson Instagram:  https://www.instagram.com/taraerickson/ Twitter:  https://twitter.com/thetaraerickson Follow Jackie Bonsignore: https://www.instagram.com/jackiebonsignore/ Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

Howard tries his best the show canceled, Doc provides the prescription to the blues and its a movie called With Honors and Franklin tries to keep the sanity the best he can.  ★ Support this podcast on Patreon ★

¿Qué pasa cuando la mente es demasiado brillante?

Ben Affleck wrote, directed, and starred in The Town coming off one of the worst career stretches in Hollywood… and somehow made one of the best heist movies ever made. We break down the wild fan theory that his character Doug MacRay is actually his Good Will Hunting character who stayed in Boston after Will left. We discuss why this is basically a Batman audition tape. We also break down the most iconic scene in the movie, the deleted ending where Doug doesn't make it to Florida, and how Ben Affleck directed his own performance.Chapters:00:00 Announcements0:39 So good it saved a career3:47 This was just Ben Affleck Batman audition7:48 Bad movies bring out the best actors9:54 Ben Affleck has the sad boy look down14:10 Heat in Boston23:42 The FBI kinda dumb in this movie26:34 How the most iconic moment was born28:08 Just missing Matt Damon36:35 Blake Lively good at being annoying40:37 A childhood staple43:14 The scariest dude in this movie47:08 Doug almost immediately blew his cover56:40 Doug character arc shown through woman1:02:08 The alternate ending1:04:58 Our final thoughts

Boston's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed in the city? This episode's conversation got us thinking about our favorite films shot in Massachusetts, and we're excited to share our top picks with you. From recent blockbusters like Coda to classic dramas like Good Will Hunting, we're diving into the world of Boston-made movies that have captured our hearts.The city's rich cinematic history is filled with iconic films that showcase its unique blend of neighborhoods, from the scenic waterfront to the bustling streets, Boston has been the backdrop for many movies. The speaker shares their favorite Boston movie, which is a great scene in the movie. The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here in Boston? The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here? The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here?The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here in Boston? The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here in Boston? The city's cinematic history is filled with movies, but have you ever stopped to think about the movies that were actually filmed here in Boston?This episode's conversation got us thinking about our favorite films shot in Massachusetts, and we're excited to share our top picks with you. From recent blockbusters like Coda to classic dramas like Good Will Hunting, we're diving into the world of Boston-made movies that have captured our hearts. Join us as we discuss our favorite Boston movies and the stories behind them.See omnystudio.com/listener for privacy information.

Be delusional. Be Different.A narrative on chasing your dreams and embracing your uniqueness.Featuring dialogue from Steve Harvey, Kanye West (YE), Will Smith, Gary Vee, Greg Plitt, Damii, Good Will Hunting, DeWayne (Dry Creek Wrangler School), Robert Greene, Joe Rogan, Jordan Peterson, Chazz Palminteri, Christian McCaffrey, Steve Jobs, Will.i.am, Jim Rohn, Mike Tyson, Busta Rhymes, Alex Hormozi, Chris Williamson, Draymond Green, David Goggins, Tiger Woods, Nick Saban, Morgan Freeman, Conor McGregor, Kevin Garnett, Arnold Schwarzenegger, Andy Frisella, Dwayne "The Rock" Johnson, Virgil Abloh, Pharrell Williams, Brian Tracy, Michael Jordan, Mel Robbins, Tyrese Gibson, Tom Platz, Earl Nightingale, Luke Belmar, Shannon Sharpe, John Maxwell, Denzel Washington, Lex Fridman, and Lil Wayne.Instagram - @daily_motivationsorgFacebook- @daily_motivationsorg

Rob and Neil have been doing this a long time, long enough to get bored with the safe version of things. This conversation started as a Friday-at-5 PM debrief between two guys who've spent years making diabetes content, and it ended up going somewhere worth sharing. They talk about the trap of waiting until you've "figured it out" before helping anyone and why being in the middle of something is actually more useful than standing on the other side of it. Neil makes the case that saying "I'm proud of you" to someone still in the fight might be the most underrated thing a diabetes creator can do. Rob shares what hydration, sleep consistency, and the Steph Curry shooter's mentality have to do with managing blood sugars. Both of them are honest about the fact that none of this is ever really mastered. There's also a surprisingly vulnerable cure conversation. Neil opens up about what happened when he recorded a podcast episode with Katie Beth, one of the 10 participants in the Eladon trial who are now insulin independent and why it wrecked him in a way he didn't expect. Neither Rob nor Neil is putting all their chips on a timeline, but something has shifted: for the first time in 34 years, Neil feels like the house needs to be in order. They also get into the business side of being a diabetes creator, the AI spam in the inbox, the economics of running a mission-driven podcast, why both of them have turned down deals they could have taken, and why the audience is just too small to make the math work unless you actually care about the people in it. It's candid, it's funny, and it's the kind of conversation that only happens when two people have been in the same weird niche long enough to just say the thing. Chapters: 00:00 Intro: Why this episode exists and who Neil is 02:04 Friday at 5 PM and the Tim Ferriss random episode format 03:42 Why there aren't enough guys doing diabetes content 05:21 The mastery trap: waiting until you've figured it out 07:02 The CDC educator who Good Will Hunting'd Neil on camera 09:24 "I'm proud of you" — the most underrated thing to say 13:50 Hydration, diet soda, and what Rob's mom figured out by 65 19:45 Neil is running the NYC Marathon again (breaking news) 20:13 Sleep consistency vs. sleep duration — the stat that'll surprise you 25:41 James Clear, LeBron, and the cost of keeping options open 28:43 400+ episodes and what consistency actually looks like 33:11 The Eladon trial, Katie Beth, and why Neil finally felt hope 38:20 Steve Jobs, saying no, and the current era of tech 44:36 Glow Glucose Gummies and how Neil thinks about brand deals 49:17 The real economics of running a diabetes-focused business Resources: Neil Greathouse Instagram Your Best T1D Year Website

Cameron sits down with Meg Montagnino-Jarrett, Director of the Massachusetts Film Office,  to break down how one of the more straightforward incentive programs in the United States works in practice.Previously, Montagnino-Jarrett held the role of Film Liaison for the Cape Ann area of Massachusetts, where she played a pivotal role in developing the region's film industry. A film producer and media veteran of the motion picture industry, she brings over three decades of experience to her current role. Montagnino-Jarrett joined the Film Office in December 2023 and has since overseen AMC episodic TV The Walking Dead: Dead City (Seasons 2 & 3), Barry Jenkins' Sorry, Baby, A24's The Drama and Tony, Apple TV episodic Widow's Bay, and other current productions. Her impressive credits include iconic films such as Good Will Hunting and The Departed. Montagnino-Jarrett holds a Bachelor of Arts from Marquette University.The conversation focuses on how to think about the program economically and how producers should structure budgets and schedules to qualify without creating problems later. Montagnino-Jarrett walks through the real-world workflow—from registration and spend tracking to final certification—and highlights the small administrative details that can quietly delay or jeopardize a credit.They also cover where producers tend to misjudge the state, how to think about partial versus full relocations, and what types of projects tend to work best. Montagnino-Jarrett shares how Massachusetts positions itself against other incentive states, where the crew base is strongest, and what practical tradeoffs producers should consider when deciding where to shoot.ABOUT WRAPBOOKWrapbook is the AI platform for production finance.Built for today's fast-moving production landscape, Wrapbook brings payroll, spend, and accounting into one AI-powered system—giving production teams the tools they need to do more, faster.Built for features, TV, or commercials—Wrapbook helps the industry's biggest production companies stay compliant, track every dollar in real time, and eliminate the paper-chasing that slows everything down. AI handles the busywork—reading invoices, flagging issues, syncing data—so your team can focus on the work that really matters.But software is only half the story. Wrapbook pairs powerful automation with concierge support from industry experts who've worked on set and know what's at stake. It's how the best production teams scale smarter, protect their budgets, and keep their crews happy.See how Wrapbook is a force multiplier for production finance teams at www.wrapbook.com.

How do you like them apples, it's the latest '90s Bucket List episode of NostalgiaCast! Jonny and Darin are joined by returning friend (and Matt Damon lookalike) Tim Hade for a deep-dive psychoanalysis of GOOD WILL HUNTING, directed by Gus Van Sant and starring Matt Damon, Robin Williams, Ben Affleck, and Minnie Driver. Listen as they discuss the performances, Damon and Affleck's award-winning screenplay, and why a movie made up almost entirely of monologues positively should not work but absolutely does. Let the healing begin!   Listen to Tim at Brown Pocket Radio here:  brown-pocket-radio.mixlr.com

Today, we check in a year after the first Unsupervised Learning x Latent Space Crossover special to discuss everything that has changed (there is a lot) in the world of AI. This episode was recorded just after AIE Europe, but before the Cursor-xAI deal.Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what's real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs.Thanks to Jacob and the UL production team for hosting and editing this!Jacob Effron* LinkedIn: https://www.linkedin.com/in/jacobeffron/* X: https://x.com/jacobeffronFull Episode on Their YouTubeWe discuss:* swyx's view from the center of the AI engineering zeitgeist: OpenClaw, harness engineering, context engineering, evals, observability, GPUs, multimodality, and why conference tracks now reveal what matters most in AI* Whether AI infrastructure has finally stabilized: why “skills” may be the minimal viable packaging format for agents, why infra companies have had to reinvent themselves every year, and why application companies have had an easier time surviving model volatility* The vertical vs. horizontal AI startup debate: why application companies can act as the outsourced AI team for enterprises, why some horizontal companies still matter, and why sandboxes may be the clearest reinvention of classic cloud infrastructure for the AI era* The “agent lab” playbook: starting with frontier models, specializing for your domain, then training your own models once you have enough data, workload, and user behavior to justify the cost and latency savings* Why domain-specific model training is real, not just marketing: how companies like Cursor and Cognition can get users to choose their in-house models, and why search, domain specialization, and distillation are becoming more important* Open models, custom chips, and alternative inference infrastructure: why swyx has turned more bullish on open source, why non-NVIDIA hardware is suddenly getting real attention, and why every 10x speedup can unlock new product experiences* What it means to sell to agents instead of humans: why agent experience may mostly just be good developer experience by another name, why APIs and docs matter more than ever, and how pretraining-data incumbents are compounding advantages in an agent-first world* Why memory and personalization may become the next big wedge: today's models mostly reward frequency of mentions, but in the future, swyx expects product choice to be shaped much more by personalized memory systems* The state of the AI coding wars: why coding has become one of the largest and fastest-growing categories in AI, how Anthropic, OpenAI, Cursor, and Cognition have all ridden the wave, and why the category may still have more room to run* Capability exploration vs. efficiency: why the industry is still in a token-maxing, experiment-heavy phase where people are rewarded for spending more rather than less* Claude Code vs. Codex and the strange stickiness of coding products: why first magical product experiences may matter more than expected, and why the bigger mystery may be why only a few names have emerged as real winners so far* What the end state of the coding market might look like: two major players, a longer tail of niche products, and possible disruption if Microsoft, Mistral, xAI, or the Chinese labs push harder into coding* Where application companies still have room against the labs: why frontier labs are trying to expand into verticals like finance and healthcare, but still leave space for focused companies that own the workflow and the last mile* Why coding may be a preview of every other AI market: the first category to truly go parabolic, the clearest example of foundation model companies colliding with application companies, and a template for how future vertical AI markets may develop* Why AI valuations now feel unbounded: from billion-dollar ARR products built in a year to trillion-dollar market caps, swyx and Jacob unpack how the AI market has broken traditional startup intuitions about scale and durability* Consumer AI vs. coding AI: why ChatGPT's consumer category may have plateaued on frequency and product design, while coding continues to feel like a daily-use category with real momentum* The next product frontier beyond coding: consumer agents, computer use, and “coding agents breaking containment,” with swyx's thesis that 2025 was the year of coding agents and 2026 may be the year they begin to do everything else* Whether foundation models are really killing startup categories: why swyx is less worried for early founders, more worried for mid-size startups and traditional SaaS, and why building something ambitious may now be the best job interview for a frontier lab* AI vs. SaaS and the internal culture war around adoption: the tension between AI-native employees who want to rip out expensive software and skeptics who think quick AI-built replacements create fragile systems* Why traditional SaaS may be under real pressure: swyx's own experience spending six figures on event and sponsor management software, the temptation to rebuild it cheaply with AI, and the broader question of whether teams will trust custom AI-native replacements* Biosafety, security, and frontier model access: why swyx raised biosafety at a dinner with Anthropic's Mike Krieger, why Krieger argued security is the bigger issue, and what restricted model releases reveal about Anthropic vs. OpenAI* The era of giant models: why 10T+ parameter systems may only be a temporary rationing phase before bigger clusters arrive, why labs may increasingly keep their most powerful models private for distillation, and why scale alone no longer feels like a complete answer* Memory as the slowest scaling factor in AI: why context windows have improved far more slowly than people hoped, why million-token context still has not changed most real workflows, and why memory may be the key bottleneck for the next generation of systems* What swyx changed his mind on in the past year: becoming more bullish on open models, more convinced that the top tier of agent startups behaves very differently from the median AI company, and more optimistic about fine-tuning and specialized model adaptation* “Dark factories” and zero-human-review coding: the next frontier after zero human-written code, where models not only write the code but ship it without human review, forcing companies to rethink testing and verification from first principles* Why RL and post-training may matter more than people assumed: even if the resulting models get thrown out every few months, the data, workflows, and domain-specific improvements persist* Synthetic rubrics, Doctor GRPO, and multi-turn RL: why reinforcement learning is becoming much more domain-specific and multi-step than many people realize, opening the door to much deeper customization* The next frontier after coding: memory, personalization, and world models, including why swyx thinks world models matter not just for robotics or gaming, but for giving AI something closer to lived understanding* Fei-Fei Li, spatial intelligence, and the Good Will Hunting analogy: the idea that today's LLMs may know everything by reading it all, but still lack the lived experience that turns knowledge into a deeper kind of intelligenceTimestamps* 00:00:00 Intro preview: AI coding wars, startup pressure, and market structure* 00:00:28 Welcome to the Latent Space × Unsupervised Learning crossover* 00:01:17 What AI builders are focused on now: OpenClaw, harnesses, and infra* 00:04:33 Why AI infra is harder than apps, and where startups can still win* 00:06:39 Should companies train their own models?* 00:09:28 Open models, custom chips, and the new inference race* 00:11:25 Designing products for agents, not just humans* 00:16:49 The state of the AI coding wars in 2026* 00:19:27 Capability exploration, token-maxing, and why coding is going parabolic* 00:21:41 What the end state of the coding market could look like* 00:23:50 Where app companies still have room against the labs* 00:27:02 Why AI valuations and market swings feel unprecedented* 00:28:56 Consumer AI vs. coding AI, and why sticky products still matter* 00:32:28 What the next breakthrough product experience might be* 00:32:53 2026 thesis: coding agents break containment and eat the world* 00:35:27 Are foundation models wiping out startup categories?* 00:37:33 AI vs. SaaS, vibe coding, and internal team tensions* 00:40:01 Biosafety, security, and the politics of restricted model releases* 00:42:19 Giant models, compute constraints, and the limits of scale* 00:44:30 Memory as the real bottleneck in AI* 00:44:57 Why swyx changed his mind on open models* 00:47:44 Dark factories and the future of zero-human-review coding* 00:49:36 Why post-training and RL may matter more than people think* 00:51:50 Memory, world models, and the next frontier of intelligence* 00:53:54 The Good Will Hunting analogy for LLMs* 00:54:21 OutroTranscript[00:00:00] swyx: Isn't that crazy? That number is just mind boggling.[00:00:03] Jacob Effron: What is the state of the AI coding wars today?[00:00:05] swyx: We're in a phase of sort of like capability exploration. The general thesis that I have been pursuing now is that the same way that 2025 was a year coding agents 2026 is coding agents breaking containments to do everything else.[00:00:16] Jacob Effron: Do you worry about the foundation models just getting into a bunch of these startup categories?[00:00:21] swyx: Mid-size startups. Yes.[00:00:23] Jacob Effron: What do you think the end state of this market is[00:00:25] swyx: for the market structure to, to significantly change? There would be[00:00:28] Jacob Effron: today on unsupervised learning. We had a, a fun episode and what's really become an annual tradition, a crossover episode with our friends at Latent space.Swix and I sat down and we talked about everything happening in the AI ecosystem today. What we thought of the various changes at the model layer, what's happening in the infra world, the coding wars, and a bunch of other things. It's a ton of fun to do this with someone I really respect and another great podcaster in the game.Without further ado, here's our episode. Well switch. This is, uh, super fun to be back with another unsupervised learning, uh, latent space crossover episode.[00:01:02] swyx: Yeah,[00:01:02] Jacob Effron: I feel like a lot of places we could start, but you know, one thing I always find fascinating, uh, about the way you spend your time is you obviously are like at the epicenter of this engineering movement and community, and you run these events and conferences and put on these.Awesome talks and, and I think just have a great pulse on the zeitgeist of what's going on.[00:01:16] swyx: Yeah.[00:01:17] Jacob Effron: Maybe to, to start just what are the biggest topics people are thinking about right now?[00:01:21] swyx: Yeah, so I just came back from London, uh, where we did a IE Europe and we're doing roughly one per quarter now, which Yeah, you've[00:01:27] Jacob Effron: really up[00:01:27] swyx: the, hopefully[00:01:28] Jacob Effron: up the, up the pace.[00:01:29] swyx: It's trying. We're trying to match AI speed, youknow?[00:01:30] Jacob Effron: Yeah, exactly. The tops would be completely different, I imagine. Uh,[00:01:33] swyx: yeah. You know, I definitely curate the tracks, like you can see what I think. When you see the track list and the, the speakers that I invite, obviously Open Claw is like the story of the last four or five months, and then be, be just below that.I would consider harness engineering, context engineering to be two related topics in agents and rag. And then there's a long tail of Evergreen stuff like evals, observability, GPUs, uh, and uh, LM infra and just general, just in general. We also have other updates on like multimodality and, uh, generative media, let's call it.Um, but I definitely, the, the first three that I mentioned are top of mind people. Yeah.[00:02:13] Jacob Effron: I think harness is particular like, so interesting. Um, you know, there was this tweet from Harrison Chase, the, the lane chain, CEO, that, that caught my eye recently where he said, you know, it finally feels like we have stability, uh, around the infrastructure for, uh, you know, around ai.And I think what. He basically was implying his like, look over the past two, three years as a company at the epicenter of AI infrastructure, it was a bit like playing whack-a-mole, right? You were constantly moving around with, however, the building patterns were evolving[00:02:36] swyx: for Harrison for sure. Right? Like he's basically had to reinvent the company every year since he started Lang Chain.Right? It was Lang chain, Ang graph and LP agents and like, uh, I think he's like one of the most nimble, adept sharp people about this. Yeah. Yeah.[00:02:49] Jacob Effron: Saying now, now is finally the time stability[00:02:51] swyx: this. Yeah.[00:02:52] Jacob Effron: Yeah. Um, do you buy that or what have you kind of make of that take?[00:02:56] swyx: I think that. It, it's very expensive to say this Time is different sometimes, but when you're just writing code, like it's actually okay to just like try to make a call and I think it may not even matter if this call is right or not.Like I just don't even care that much because you can be right on a thesis, but if you don't, you don't figure out how to monetize the thesis, then who cares if you said something first that said, um, it does feel like, for example. Uh, we went through a lot of different ways of passion packaging integrations up with, uh, with agents.And it feels like we've landed at skills, which is like the minimal viable format. Yeah. Which is just a markdown file, uh, with some scripts attached to it, and I don't see how it can be more simple than that. And so there is some justification for. The stability around harnesses. I feel like there may be more adaptation with regards to maybe like the real time elements or subagents or memory or any of those like agent disciplines, let's call it in, in agent engineering.Uh, but if, if the thesis is that, okay, you just want agents are LMS with tools in the loop with a file system, what they can do. Retrieval with, with skills and all these like standard tooling that now seems to be relatively consensus then probably. That makes sense. Um, I just think like there's no point trying to stake your reputation on this thesis that we're there because if it changes again, just change with it.It's fine.[00:04:33] Jacob Effron: Yeah. It's always, you know, I've always been struck by how that is. Much more challenging for infrastructure companies and application companies. Like obviously I think, yeah. You know, on the application side you've seen, you know, Brett Taylor from Sierra Max, from Lara. Like, they're like, look, we build, you know, what's ahead of the models and we're willing to throw everything out every three months, you know, as the models get better and better.Exactly. Yeah. But the thing you at least have there is you have. Uh, you have an end customer, right? That's like decently sticky. Um, you know, they will mostly stick, you know, they'll, they'll give you a shot at least of, of building these things. What I've always found more challenging, uh, at, at the kind of like, you know, reinvent yourself every three months of the infrastructure layer, it's like, you know, developers are definitely a, a pickier audience maybe than an accounting firm or, uh, you know, a bank.Yeah. And so it's definitely a, a, a more challenging position to be in to, to have to constantly reinvent yourself.[00:05:17] swyx: Yeah. Yeah. Yeah. And, and like when they turn, it's like. Very complete. Like, they'll leave to like the, the hot new thing, uh, because there's like no defensibility, I guess. Like e even, even if you are a database, like, uh, people can migrate workloads off databases.Like it's, it's a, it's a known thing. Uh, so I think like basically what we're talking about is the vertical versus horizontal, uh, debate in, in AI startups. And uh, the way I think about it also is just that like when you are. Um, Lara, when you are a bridge, like you are the outsource AI team, right? You, you are, your job is to apply whatever state ofthe art AI methods.[00:05:55] Jacob Effron: Yeah. Like this translation layer between model capabilities and your[00:05:57] swyx: own customers. Yeah. To, to the end customers and like, well, if they didn't have you, they would've to hire in house and they're not gonna hire in house so they have you. And like, I think that's like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.I do think like there is, um. It like sort of useful horizontal companies being built, but they're all. Very much like, sort of like the reinventions of classic cloud in the AI era and the, the primary one being sandboxes. Yeah. Um, which like, it's another form of compute guys, like, let's not get too excited about it.But I mean, like the, the workloads are enormous.[00:06:38] Jacob Effron: Right.[00:06:38] swyx: Yeah.[00:06:39] Jacob Effron: It's interesting, and I feel like as, as part of this, you know, the questions that folks are asking around infrastructure, there's a lot around, you know, the extent to which companies should have their own AI teams and what they should be doing in-house.And, you know, uh, I think there's questions around should people be training their own models? Should people be doing, you know, rl, uh, in-house based on the data they have? I feel like, you know, one has to evolve their takes on this every, every three months with paces. But where, where are you at on this today?[00:07:00] swyx: I think, well, I mean actually all models have gone up. Um, and obviously I'm involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I've been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.But once you have enough workload and enough high quality data from your users, then you can obviously train your own models and like save a lot on cost and latency and all that, all that good stuff. Um, you also get like a marketing bonus of like calling it some fancy name and putting out some research[00:07:38] Jacob Effron: from my seat.I can't tell how much of it is like actual, you know, value that's provided to the end user. And how much of it is that marketing bonus? Right. It seems some combination of the[00:07:45] swyx: I think it's both.[00:07:46] Jacob Effron: Yeah.[00:07:46] swyx: Um, no, no. There, there actually is real value. Um, and you, you know that for a number of reasons. Like one, even when it's not subsidized, people do choose it as like one of the top four or five.This is both composer two and, uh, suite 1.6 I one of the top five models. Like in a, in a fair market? In a free market, yeah. In a, in a, in a model switch. Or people do choose it and like, it's not subsidized. Like, so that's as good as it gets. Uh, but beyond that, like domain specific models, for example. For search with, with both, which both companies have absolutely makes, makes a ton of sense.Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff. Yeah, I mean like, this is one of those like reversal of the, the bitter lesson where you first bootstrap on the large models and the general purpose models to get big.And as you get very well-defined workloads that are just high quantity but not high variance, um, then you just distill down to a smaller model and run that on your own. Right. Which like totally makes sense.[00:08:50] Jacob Effron: What I'm less clear on is the kind of DIY RL use case, which I think is really mostly around, you know, improved, uh, quality for, for different things.Obviously there's probably like more efficient ways to, you know, get a smaller model that's that's faster and cheaper. And it'll be interesting to see whether. You know, obviously you had, you know, uh, two, three years ago this whole case of companies that were, you know, pre-training and claiming better outcomes in, in their domains than getting kind of cooked as each model iteration improved.You know, I wonder whether that's a, a similar story plays out in the, uh, in, in the, our all space. Yeah, for the focus on, on on pure outcomes and quality, not the cost side, which clearly your own models for cost at scale makes a ton of sense.[00:09:28] swyx: I think there are this, there are two sides of the same coin.Like you basically always want to hold, uh, quality constant or trade off a little bit of quality for a drastic decreasing cost. And that's true for everyone. Uh, one element I wanted to bring out, which is very much in favor of open models, is custom chips. So this would be cereus, but also talu. And then there's a huge range of stuff in between.This has been a huge story this past year on just like everything non Nvidia is getting bid up, including like freaking MatX is working for, which is very, which is very rewarding for me, but I think one of those things where like, oh, like the suddenly, because the number of alternative. Hard, uh, hardware is increasing and the inference that you can get is insanely high.Like, um, we're talking thousands of tokens per second instead of less than a hundred. So the trade off for qua quality doesn't hold as much anymore because the speed is so high.[00:10:24] Jacob Effron: Have you seen a lot of companies go all in on the alternative chip?[00:10:26] swyx: So cognition has Yeah. On Cerebras, uh, and, and so has OpenAIUm, uh, and so no, I don't think so beyond that, uh, and that, do you think that's like a, that's mostly, that's foreshadowing of, that's, yeah. I used to be kind of a skeptic in terms of like, okay, so what if I get my inference at a hundred to a hundred tokens per second sped up to 200 tokens per second. It's only two X faster.It's not that big a deal. Um, but when you, uh, I think every 10 x does unlock a different usage pattern. Um, and you, we have proof in Talas and, and some of the others. That you can actually, um, drastically imp improve inference speed and what happens from there? I don't even really know, like it's, it's so hard to predict when entire applications just appear at once.Yeah. Uh, and it also isn't that expensive, right? So like, um, this is one of those things where like, I, I think the, the investment cycle is gonna be multi-year. Um, and I. Would caution people to not dismiss it too, too quickly.[00:11:25] Jacob Effron: Yeah. I mean, one other like infra question I was curious to get your thoughts on is obviously it seems increasingly a lot of the cutting edge infra companies are building for agents as the buyers of their product or users of their product, right?[00:11:35] swyx: Ooh,[00:11:36] Jacob Effron: and[00:11:37] swyx: another huge theme. Yeah. Yeah.[00:11:38] Jacob Effron: And I'm trying to figure out like what. What, what do you have to do differently about selling into agents? Um, are they just the ultimate rational developers? Uh, or is there, you know,[00:11:46] swyx: no, absolutely not. Um, I think they are easily prompt, injected and, uh, very tuned towards like, basically com compounding existing winners.[00:11:57] Jacob Effron: Yeah,[00:11:57] swyx: so like if, like, congrats if you won the lottery for getting into the training data right before 2023, because now you're like installed in there for the foreseeable future. But yeah. Uh, you know, one stat that Versal, uh, CTO Malta dropped at my conference was that there are now, uh, 60% of traffic to Elle's, um, like app arch, like admin app architecture for like configuring versal applications, uh, is bought.It's not, it's not human. Uh, so like your primary customer is agents now. Um, and it's mostly co like mostly coding agents, mostly people using CLI on CP or whatever. But yeah, I mean, I think. More. I, I think step one, if it doesn't exist as an API that agents can use, it doesn't exist. Right, right. Which I think is like, uh, it's a good hygiene thing anyway, to, to make everything API available, but not as like an extra, um.Push on like products, people to not only work on the ui, um, you should probably work on the on SCLI stuff. Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.That you should have had good docs, you should have had a consistent API, uh, that is. Mostly stateless. Um, you should have, I guess, discoverable or progressive disclosure or like search or like whatever. And so now that people have energy in like finding these customers to do that, that's great. Um, do I believe in.Extending beyond that into something like a EO, um, for gaming The chatbots? Not necessarily, but obviously there's gonna be huge advantages when people who figure out the short term wins. Yeah. And short term wins can compound.[00:13:43] Jacob Effron: Do you think these compounding advantages to like the, the pre-training data cutoff companies, like, you know, obviously over some period of time, I imagine that doesn't persist.And so as you think about like. I dunno, three, four years from now what the, you know, selection criteria end up being. Do you think it still mirrors exactly what you were saying before? Like it's exactly what you should have been doing all along to sell a good product to developers?[00:14:01] swyx: It could be, except that I think in three, four years we'll probably have much better memory and personalization.So then general a EO or GEO doesn't really matter as much. So I think whatever memory or personalization system we end up with will probably d determine what you end up choosing much more. Than, than what is currently the case, which is just frequency of mentions, let's call it. Yeah,[00:14:26] Jacob Effron: yeah.[00:14:26] swyx: Uh, so you just spa quantity and I think that's, I mean, that's something I'm looking forward to.I do think, like, like, you know, I, I think that the fundamental exercise to work through for yourself is if you start a new, um, sort of. Uh, disruptor company. Now there's a, there's a big incumbent that everyone knows, like, like superb base. Super base is like, kind of like the Postgres, like database, uh, incumbent.If you wanna start like new superb base, how would you compete with them? And I don't necessarily have the answer, but I, I, I do think like people, like resend like relatively new. I think they would start like 20, 23 and still there was, there was a recent survey where like, people. Checked what Claude recommends by default.If you just don't prompt it with anything, just say, gimme an email provider and says, resent as in like 70, 70% of each cases. Like the fact that you can get in there with like such a relatively short existence, I think is, is encouraging.[00:15:14] Jacob Effron: Yeah.[00:15:14] swyx: I do think like. Um, you do want to do whatever it is to, to like to, to get in that Very short mentions this because, um, it's not gonna be 20 of them, it's gonna be like three.[00:15:26] Jacob Effron: No, definitely. It feels like, uh, you know, probably more, more consolidation than ever. Uh, or, or kind of like, you know, uh, a winner take most market than maybe the, the, the physics of go-to market in the past. Yeah. Might have, uh, enabled.[00:15:38] swyx: The other thing also is like, semantic association is gonna be very important, uh, in the sense that like, you want to do like the combo articles where you're like, use my thing with for sale, with blah, blah.And like that all gets picked up in a, in a corpus. And so that's. Probably one thing that you, you wanna do? Well, I don't know what else. Uh, it's, it's, it's, it's one of those things where like, I think I feel, I feel I'm behind, uh, I don't know how you feel about this, but like,[00:16:04] Jacob Effron: I think AI is just everyone constantly feeling like they're behind some, uh,[00:16:08] swyx: yeah.With,[00:16:09] Jacob Effron: I wanna meet the person that doesn't feel behind,[00:16:11] swyx: but like with, with ax, right? Like, so, so like, my, my stance was that exactly what I said before, like everything that you, that you should do for agents is something that you should have done for humans anyway. Yeah. And so. To the extent that you're just getting it more energy to, to do things for agents, great.But like, uh, it's hard to articulate what new thing apart from just like more spam, um, that you should be doing. Anyway, that would be my take right now. Um, I I, I do think like there, there will be more turns at this. I think the personalization turn that is coming, um, will be big. And I don't know what that looks like because like basically we're kind of, we feel kind of tapped out on the memory side of things.[00:16:49] Jacob Effron: Yeah. I, I guess since we last chatted, you know, you, you took this role over at cognition, um, and you've obviously have a, have a front row seat to the AI coding space today. You know, I feel like coding in many ways. You know, people view it as this, like, I mean, besides being like the, the mother of all markets and this massive opportunity, I think it's kinda a preview of like, what's to come for many other spaces.Both. Yeah. You know, I feel like agents are most advanced in coding. I also feel like the, you know, competition between foundation models and application companies, you know, and, uh, mirrors what we may see in other spaces. And so maybe for our listeners, can you just lay out like what is the state of the AI coding wars today?[00:17:25] swyx: Um, it is massive, right? Like, uh, and I don't think necessarily, last time we talked about this, we appreciated the size of what[00:17:32] Jacob Effron: No, I wish we did.[00:17:33] swyx: I state of AI coding wars today, um, both opening eye philanthropic have made it their p serials to competing coding. Um, and. Tropic is like 2.5 billion in a RR just from Cloud Code.The way they recognize a RR is. Opt for debate, uh, open ai. I don't think the, a public number is known, but let's call it 2 billion as well. And then cursor is like, rumored to be 2 billion, you know? And, and those, those are like the public numbers that are known? Yeah. Um, so like huge markets that have just been created in the past one year.Like, like anthropic, just like Claude Code just recently celebrated their one year anniversary, which is, yeah, pretty nice. Um, so, and then I think, like the other thing that I see is there's, there's some other people who are like, oh, here's like the, the sort of relative penetration of, uh, Claude use cases, right?Like, and it's like coding 50% and then legal, whatever. Health, uh, it's like the, the remaining ones. And there was a very popular tweet that was like, okay, I'll look at the, the empty space and all these other use cases. If you are a new founder today, you should be betting on the other stuff because on, on a sort of catch up Yeah.Theory and my. Consider my, my pushback is the same pushback that, uh, I had on app over Google, which is like, well, well why is this time different? Like, why, if it went from let's say 10 to 50% in the past year, why can't I keep going? Uh, and like getting that wrong is actually a very painful one because you could have just did, did the momentum bet.Instead of the mean reversion bed. So I, I, I think that that is the, the state of things now that people are very, very much into psychosis. Um, they're are getting rewarded for spending more rather than spending less. And I think we're not in that phase of efficiency. We're in a phase of sort of like capability exploration.So I think people who are more crazy, who are more. Uh, creative, um, get rewarded comparatively. Yeah.[00:19:27] Jacob Effron: Well, it's interesting. I mean, it feels like behind these like token maxing, leaderboards and whatnot is this, it's like the first phase of this transition from a workforce perspective is you just gotta show your employer like, Hey, I, I use these tools.[00:19:37] swyx: Here's my nu number of tokens I cost, and that's it. They don't care about the quality. Right. It is, uh, maybe distasteful to someone who cares about the craft and, and all that. Um, but directionally everyone just wants you to go up regardless. And so, um, there it is not very discerning. It's, and it's probably very sloppy, but I think it's net fine because we're still probably underusing ai just in generally.Yeah. Um, and so I think that's like very interesting. Like we had on the podcast, uh, Ryan La Poplar from OBI, who spends a billion tokens a day. Yeah. Um, and that's for those county home, it's like something like 10,000 worth, $10,000 worth a day of API tokens. If they, they did market rates, um, and like most of us can't afford that.Yeah. But like. And, and, and probably a lot of what he does is slop.[00:20:25] Jacob Effron: Right.[00:20:25] swyx: But like, he's going to dis, he's like, if there were a new capability, he would discover it first before you because he was, he was trying and you were not trying. Right. And like, you only do things that work like, well, good for you.But like the, the people who are going to discover the next hot thing are living at the edge.[00:20:42] Jacob Effron: Right and increase in living at the edge of just having the compute budget to like run these experiments. I mean, kind of similar to what living at the edge on the research side has always been. You know, it was constrained in many ways by the amount of compute you had to run these experiments.It feels similarly on the, almost on the builder or like actualizing these tools now.[00:20:56] swyx: Yeah. The other thing that's, I mean, very obvious is philanthropic is kind of like the high price premium player. Um, that where, you know. Restricting limits or restricting model releases even is like the name of the game.Whereas Codex is like, come on in guys, use our SDK, use our login and we don't care. We're gonna reset limits. Whatever you do want to try to exploit the subsidies where you can get it. And definitely Codex is super subsidized right now. Gemini also very subsidized. Um, and. Comparatively, like, I think you should make, Hey, I guess while, while that's going on, it's not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.Um, and, uh, I I, I, my sense is that people aren't even there yet.[00:21:41] Jacob Effron: How do you think this, like, market ultimately plays? I mean, it's obviously such a big market that, you know, any slice of that market is interesting for, for anyone going after it. But I think what, what makes people so interesting in the coding market particularly is it feels like it's kind of this.Foreshadowing of what will happen in other, you know, any other kind of application market that the foundation models eventually turn to and are all their models against and gather data around. And so how do you think, you know, like does there end up being room for lots of different kinds of players or like, what do you think the end state of this market is and is that, do you think that's applicable to other markets?[00:22:10] swyx: I feel like there will be, I mean. Status quo is probably the most likely outcome, which is there are two big players and there's a small range of longer tail people that, um, fit other use cases that the, the two big players don't. That feels right to me. I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.Haven't seen any in the last six months that, that have really changed the stories materially. So I feel like they would just keep going until something, something else happens. Something else happens, meaning like Microsoft wakes up and like goes like. Guys, we have GitHub, we have, uh, you know, we, we, we'll, we'll do something much bigger here than other, other than just copilot.Um, and, uh, that would be a big change. Um, MSL has put out a model now, and I was in a breakfast with, uh, Alex Wang, where they were like, yeah, like, we, we really, really want to go after the coding use case. We haven't done anything yet, but like, don't underestimate them. Right. Um, and, and similarly for the Chinese labs.Um, I think they're trying to go after it. Like ZAI is doing stuff. GLM uh, ZI and GLM is same thing. Um, uh, and, and so it's, so like everyone's trying to get a piece of that pie. I, I feel like the, the status quo has been pretty stable for the past, like almost a year I'll say.[00:23:39] Jacob Effron: Yeah. And is the room for the, not like, you know, for, for the application companies more on like the enterprise side or like where do the, where do the, like what surface area do the model companies leave for application companies?[00:23:50] swyx: Yeah, that's a good one. Um. It's very much evolving. Um, it, I, I, I will say because opening I did not have this, the, this level of attention on coding. Yeah. Uh, a year ago. We just don't have that much history. Right. Um, and it seems like, for example, so the big push at Open I now is the Super app. Um, is that a consumer thing?Is that like a products like. Portfolio rationalization thing, how much is that gonna take away attention from coding at the time when they actually do want to put more coding? I think it's, it's very unclear. So I do think like there's, there's all these, like in both big labs, there's. Uh, sorry. Both of the, and, and drop and, and deep minus and XAI are are separate cases.Um, they are trying to see the other time expansion areas. So cloud code for finance. Yeah. Um, uh, cloud cowork, all those, all those things. Whereas I think cursor and cognition are like comparatively just focused on coding and so I, I do think they leave space and I do think for the other verticals that also means the same thing.Right. That, uh, that they're not gonna be that. Um, intensely focused on, on, on that domain. Except for, I, I think I would mark out finance and healthcare as like the next ones, um, that they're clearly going after. Uh, I, I would say comparatively, healthcare seems more thorny. There, there, there've been some announcements about it, but like, I would respect the, the finance work a lot more just because like the, the path to money is a lot clearer.[00:25:12] Jacob Effron: Yeah, no, I mean, obviously like, I, I think, you know, maybe similar to, to the space that's being left in these other domains, you know, there's obviously. Uh, a lot that's required to actually implement these tools in enterprises, uh, versus, you know, maybe just giving them, uh, giving model access to, to folks outta the box.[00:25:27] swyx: Yeah, yeah. Yeah. So the, the agent lab thing is like, we'll do the last mile for you. Whereas I think the model labs tend to just trust the model and, and be minimalist about it. Both of them work.[00:25:38] Jacob Effron: Yeah.[00:25:38] swyx: I, I don't, I don't necessarily think one, uh, beats the other, uh, for every, for every use case. Um, all I, all I do know is that it does seem like.Uh, the large enterprises do want a dedicated partner that isn't just the model labs, which is kind of interesting.[00:25:55] Jacob Effron: We, we've been in this phase of, of pure capability exploration. And so I think nothing has been, you know, better for the large labs, right? I mean, they're always gonna be, uh, uh, the frontier of, of capability exploration.And so I think have a very good relationship with a lot of these enterprises. But ultimately over time, like. The, uh, the incentive structure of these labs is always gonna be maximal, you know, token consumption for, uh, for the end customers they work with. And there's just, I think, so few companies that have actually gotten to massive scale.Maybe coding again is the most interesting. So it's the first space that really is just completely gone, you know? Yeah. You must love it every day. Like absolutely insane. And. I think it[00:26:32] swyx: gets even. Okay. I mean, like, I think we, we say good things about crystal cognition, but the sheer liftoff of like both end UPIC and open ai.‘cause they, they, they have independent valuations. I mean, let's throw an XEI in there because it's now I ping at 1.2 trillion. That number is just mind boggling. Like I, I feel like in normal investing or normal startups, there's kind of like a ceiling market cap or valuation. Totally. That, that like you, you reach and you go like, all right, let's, it's gonna be chiller from now on.And these guys are not slow down. No.[00:27:02] Jacob Effron: Well, I also think the dynamic is fascinating about some of these later stage companies is, is, you know, in the past, I feel like in, in venture world, if you got to a certain level of scale, the question around you was really more a valuation question. And this is like why there was different phase, like, you know, types of venture people did and like the late stage growth people were just incredible at like, you know, a little bit of what's the ultimate market opportunity of this company, but also what's the right way to, to value it.Like we know it's, it's in some bands of an outcome that is like. Sure there's some variance to it, but it's like relatively understood what that bands is and then maybe you get over time surprised to the upside. Whereas any kind of like later, even the labs themselves, any later stage company, the bands of which that company might be worth right now, even in a year or two years are so massive because of how fast the ecosystem changes that it's like.Even for later stage companies, every three months could be an existential level event to the upside to the downside. Yeah. Um, and I think that, like, you are obviously seeing it in the, in the positive with code, which, you know, if you think about a company like philanthropic, you know, that. For a while, it was like unclear if they were going to have access to enough capital, um, to really stay in the, in the race, right?And then coding hit at the exact right time. They had the perfect model for it. They executed brilliantly. Um, and you know, now are, are, you know, uh, you know, one of the most valuable companies in the world.[00:28:13] swyx: Uh, at the same time, I, I don't find, I, I have zero sympathy for opening eye because they're crushing it and they're all rich.You know, this is like a high class champagne problem to have to, uh, to be number two at coding or whatever. Like, who cares? Like, you're, you're doing great.[00:28:27] Jacob Effron: Yeah. It's funny though. I can't even, I mean, you would be closer to this, uh, you know, even that you're in the AI coding space, but it's like a lot of people I talk to think Codex is just as good, if not better than Claude Code.Right. I think one thing that I've been really surprised by, and maybe, maybe Cloud Code is a better product in some ways, I'm curious your thoughts is just in consumer AI with chat GBT. You saw this big first mover advantage, right? Where admittedly today, like, I don't know, Claude Gemini. Great products.Not sure, not abundantly clear chat GBTs any better, but like. People stick with chat, GBT, it's the first thing to introduce them.[00:28:56] swyx: They stay, but they're not growing anymore. I don't know if you've seen[00:28:59] Jacob Effron: Right. But that to me is more of like a, a, a product problem than it is. They're not like, it's not like they've like lost share to someone else.My understanding is the overall problem with consumer AI today is much more of a how do you take this tool and, you know, for, for folks like us, like knowledge workers, it's like this incredible magic tool, but it's not necessarily a daily active use tool for a lot of people around the world today. And what are the like products?It's, it's kind of a category wide problem. Like in coding, for example, like. The entire space has gone parabolic. There may be some relative growth in, uh, in other consumer AI players, but it's not like consumer AI as a category is like going parabolic and they're not capturing most of that thing. I think it's actually the larger problem is much more, hey, the category has kind of hit a bit of a plateau of people haven't figured out how to bring, you know, tons more users on board.Yeah, yeah. Or increase the frequency of those users. And so it seems more of a category wide problem than it is, you know, a massive market share of change. I was gonna draw the comparison to, to the coding space where Claude Co is the first product, obviously, to introduce people to this magical experience.You know, by all accounts, codex is, is pretty damn close to as good, if not better. Um, but like still that first product, you, you would've thought that would not be a super sticky, uh, you know, product surface area. And it actually has, it turns out, I, it feels like the first lab to introduce you and experience really does, uh, keep a lot of, uh, a lot of the focus.[00:30:12] swyx: I, I think. M maybe it's like still, still early days. You know, Chad, BT is like three plus years old and Yeah. Cloud code is only one. Just turned a year. Yeah. So give it time, you know? Yeah. Like, yeah. I mean, definitely sometimes a lot of people have switched from to Codex. Maybe that will keep going. I, it's like really hard to tell.Uh, yeah. I, I, I do, I do think that. Because we are in this like, high volatility, high temperature phase. Um, the loyalty and stickiness to first movers and category creators, I don't think is as high as it might be in some other, uh, areas in our careers that we've looked at.[00:30:47] Jacob Effron: Yeah. Though, I mean, I've been surprised by the cloud code thing.I, I would've thought that, like, in many ways I always worried about the[00:30:52] swyx: enterprise. You think you would've been gone by now?[00:30:53] Jacob Effron: Not gone. But I would've, I I always worried that the, that the consumer business of these companies would be quite sticky. And then the enterprise API business. Uh, was actually like, you know, in some ways like your least loyal buyers, like they would, they would move to,[00:31:05] swyx: right, right.But, but they worked out that it wasn't the enterprise API it was enterprise product.[00:31:09] Jacob Effron: Totally. And maybe that was the, that was the secret that like, but the amount of lock-in or just default behavior that has happened in that space, uh, is, is more than I might've imagined with two products that by all accounts are pretty damn similar.Yeah.[00:31:22] swyx: No fight there. Uh, I will say I do think that Codex is still in like a catch up. Like in terms of personal experience. Um, the only thing I like out of, out of Codex is the, is like Spark and like yeah. Uh, the, I, I feel like the skills integration is a little bit better. I feel like, uh, the, the speed is a bit better.Maybe ‘cause it's in, is written in rust or whatever. Um, very minor things that you like. Almost like telling yourself rather than like objectively assessing between two, two of them. I, I, I do think, like vibes wise, I think that's going on. Um, the, the, you know, I, I feel like the, the missing questions, uh, in, in this whole debate is like, why is this so concentrated in only two names, right?Yeah. Like, um, how, where, like, where is the Gemini? You know, presence, where's the Xai presence? Um, and like they are trying, it's just they haven't made that much progress yet.[00:32:12] Jacob Effron: But what the, what the Claude Co moment does show, and it actually in some ways makes you a little more bullish on the potential for someone else to catch up because it does feel like if you're the first person to introduce some magical net new product experience, that that actually might be stickier than one might have imagined.[00:32:27] swyx: Right, right, right. Okay. Yeah.[00:32:28] Jacob Effron: And so it's, everyone can believe they have shot[00:32:29] swyx: that. What do you think that new product experience might be like? I, I, it's, it's like, and this is a failure of imagination on my part. Like, I always wonder, like, people always say this like, well, the, the thing that will save us is like being first to the next new thing.Like what is it?[00:32:41] Jacob Effron: Yeah.[00:32:42] swyx: It's like,[00:32:45] Jacob Effron: I dunno, something around like, uh, consumer agent, computer use, like hybrid. I think, obviously, I think we're like scratching the surface on the consumer side.[00:32:53] swyx: So my, my current theory is like the. Open claw is like a vision of things to come.[00:32:58] Jacob Effron: Totally.[00:32:58] swyx: Um, and uh, it's good that O open I has like the association with open claw, but by no means do they have the rights to win it.The general thesis that I have been pursuing now is that the year the same way that 2025 was the year of coding agents, 2026 is coding agents breaking containment to do everything else. Um, and so coding agents continue to still win, but because they generate software and software eats the world, so like, it's kind of like the trans.Associated property of like software, eat the world, coding agents, eat software, therefore coding agents eat the world. Um, which is like an interesting,[00:33:30] Jacob Effron: yeah, and breaking containment always an easier phase phrase in the consumer context than the enterprise one. You've seen people run these really cool, uh, experiments in their own personal lives.I think like,[00:33:37] swyx: yes.[00:33:38] Jacob Effron: Figuring out, you know, how you, obviously everyone's focused, you know, on the enterprise side now around how you create these experiences. I feel like the vibes, you know, people love to have these narratives of like, everything is completely shifted. It's like I actually, you know, open AI.Organizationally, uh, you know, volatility aside is, you know, great products, great team, great models like everyone else in the world is incentivized for there to be. Two, three more. Everyone would love more like great model companies. And so I feel like the, the natural forces of the world revolt when any one company, you know, is too much the star of the show, right?There's so many people in the ecosystem that are incentivized for that not to happen. And so I think I'd be shocked if we don't have. Uh, uh, reversion of vibes, not maybe completely the other way, but at least a little bit more equal at some point over the next six, 12 months.[00:34:24] swyx: I, I think there's just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.[00:34:30] Jacob Effron: Yeah.[00:34:31] swyx: And I mean, I don't know, is it fair to say none of them have really broken through in the past year?[00:34:35] Jacob Effron: I think that's totally fair,[00:34:37] swyx: which is rough. Um, and well, how are we gonna, how are we gonna grow that diversity in, in, in choice, like. Um, that's, this is it.[00:34:46] Jacob Effron: Yeah. It'll be really interesting to see what, what, what ends up happening with that.And you've seen, you know, folks like Nvidia, you know, very incentivized to make sure there's, there's a broader platform of, of other model providers.[00:34:57] swyx: I think, uh, I don't know people say this, but I, I, I don't think they try it hard. Nvidia tries harder to build neo clouds[00:35:05] Jacob Effron: Yeah.[00:35:06] swyx: Than neo labs.[00:35:07] Jacob Effron: Well, they try pretty damn hard to build neo Cloud, so[00:35:09] swyx: that's,[00:35:09] Jacob Effron: yeah.[00:35:10] swyx: But like, you know, let's call it like the, the core weaves of the world, much happier place in the, you know, than any neo lab built on top of them.[00:35:18] Jacob Effron: Yeah. That one might argue it's, it's easier to, to enable a neo cloud to be successful than it is. Uh, you can't will a neo lab into existence the same way you, soNvidia[00:35:25] swyx: has more direct control over it.Uh, for sure.[00:35:27] Jacob Effron: What else is kind of catching your eye today on the startup side? I mean, you worry, there's obviously this whole narrative of like, you know, the foundation models, you know, they announced a product and every stock goes down 15%. Like[00:35:36] swyx: Yeah.[00:35:37] Jacob Effron: Do you, do you worry about the foundation models just kind of eating into to a bunch of these startup categories?[00:35:43] swyx: Not really. I, I think actually like. As, uh, there's, there's, okay, there's, there's, there's the, there's the point of view of like being an investor in startups, and there's a point of view of like, do you wanna start something? And I think honestly, like the, the downside for all these is so. Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway.So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn't work out commercially, even if it just wasn't that great anyway. Like, but like that's your job interview to go into, into one of these things anyway, so, um, I don't feel that.From a, from a very, very small startup perspective, mid-size startups. Yes. Uh, I will say there's been a lot of dead, um, LM Infra, a lot of LM infra consolidation like the, the, uh, lang fuses of the world getting absorbed into, into click house. And I, I think. Like people have maybe worked out the domain specific playbook, uh, and like, I think that's okay.Um, and, and yeah, I'm not that, not that worried about, uh, okay. So, um, I, I would say I'd be more worried about traditional SaaS, like low NPSS. This is the whole AI versus SaaS debate that has, that's been going on. Uh, and, and like literally I'm going through that exact thing in my company where, so I like kind of.Thinking through this on a very visceral, visceral level, right? On one hand you have the people who say you vibe coders don't appreciate the amount of work that goes into A-A-C-R-M and like, yeah, you think you can rip out Salesforce? So did the 30 entrepreneurs before you, right? Like, like, you know, you classically underestimate the things that you don't.Deeply, no. And, and, and target audience is not you. Uh, at the same time, like we have never been able to build software so easily and customize software so easily and like Yeah, you're not gonna use 90% of the things in Salesforce. So like, yeah. What's the typical, so what have you, what[00:37:33] Jacob Effron: have you done internally?[00:37:34] swyx: So we have there the main SaaS that we do for event management and sponsor management. That's, and we paid 200 KA year for that. Not, not huge, but like chunky for, for, for my, my scale. Um, and like, yeah, I could probably spend 2000 and, and build like a custom version of that. Um, the, the, the trick has been dealing with my, the rest of my team and getting them on board.Yeah. ‘cause I'm the most ethical person on my team, but like, I can't make that decision myself. And I think in the same way I've been telling with other CEOs team leaders as well, it's like, well you can be super cloud pilled. You can be super LM psychosis and that you think that's okay, but you like you have to bring your team with you.And I think like there, the sort of widening disparity in LM psychosis in companies is causing real s real riffs because. And on one hand, on one hand, the people who are less AI native are not getting with the picture. They're not, they're actually like behind, they're actually not waking up to the fact that like you, everything you think is necessary is not actually that necessary.And in fact, exactly would be better of you if you just like held your nose and went in and when came out the other side. Yeah, only talking to agents in natural language and like your life would actually be better and you just, you're just like close-minded. There's that perspective. The other perspective is, oh, you vibe coder.You, you did this in a weekend and you got the 80% solution and now the rest of your employees. Have to pick up the rest of your s**t, right, that you, that you thought you were, you were such hot, amazing, uh, uh, at, but like, actually you didn't figure it out. And like, actually LMS are still useless at this and blah, blah, blah.So like, I think there's this huge debate going on in every company right now. Um, and like, um, you know, I have a small microcosm of it, but like, yeah, it, it's making me hesitate to, to pull the trigger. But like I will at some point, it's like maybe I've put it off for one year, but not like five. Yeah, but like, so, so like SaaS is definitely getting squeezed.Um, it does make me wonder, like, I, I do think that there's an opportunity for a more AI native, um, system of record thing that is not just Postgres. Um, or not just MongoDB, although both are very good. Maybe it's like a convex or like people Yeah. Bring up convex a lot. I don't know, like, like, I, I just feel like the sort of quote unquote firebase of, of AI apps isn't really a thing yet.Um, beyond what we have. Uh, which, which is fine. It's, it's, it's just. We could probably start in a more sort of rapid iteration cycle first before scaling up to like a Postgres or MongoDB, which are more sort of old tech. I was at a dinner with, uh, Mike Krieger, the CPO of en philanthropic, and, and he, we were just kind of going around the room going like, what are people most worried about?Yeah. And, uh, for me, uh, I, instead of security, I brought up biosafety. Yeah,[00:40:21] Jacob Effron: classic.[00:40:22] swyx: Um, actually, like I said, it was. Cliche and classic, and the rest of the table were, were like, what do you mean? Someone sitting at home can manufacture a virus that wipes out half of humanity,[00:40:32] Jacob Effron: almost like the OG Jeffrey Hinton.Like, this is why you should be scared.[00:40:35] swyx: I'm like, yeah, like the read the, you know, risk reports. Like this is like the thing. Um, I think, and Mike was just sitting there knowing he was sitting on Mythos and going like, actually it's security. Um, and I think like, um, I think the, there's, there's, part of it is.A very good marketing. Like too good. Yeah, like I would actually advise and topic to tune down the marketing because also it's, it is just a very good model and you don't have to make so many marketing claims around it. At the same time, it is not really a private model. If you give it to 40 companies.Each of whom have like 10,000 employees or whatever. Right. It's not, it's not private, it's, it's like there's bad actors in there.[00:41:18] Jacob Effron: Yeah. Hopefully, hopefully not as, uh, as bad as releasing it widely, but, uh, no, I mean, it's an interesting. You know, it's an interesting case study for how all, I mean, many model releases might, I mean, you know, this might be the first model release that looks like the rest of ‘em from from now on, right?[00:41:31] swyx: It, it, so it's, it's the, there's an overall product strategy, uh, for anthropic of like bundle, uh, you know, restrict access bundle, uh, product with model maybe.Whereas, uh, OpenAI has definitely been a lot more sort of. Philosophically aligned on like, we will just enable access everywhere and we don't know what you, what will come out of it. Right.[00:41:51] Jacob Effron: Right. Though, I mean, this current moment, uh, obviously the cynical take is also just ties to the amount of compute that both companies[00:41:56] swyx: Yeah.Right, right, right. Yeah, I think, I think that's true. I I do think like the, the, this is the, the, the scale, the dawn of like larger than 10 trillion parameter models is very interesting. I don't think it, I think it's a temporary phenomenon because we have much larger compute clusters coming online for everyone over the next like three, five years.It's, and this is like already written in, in the cards.[00:42:18] Jacob Effron: Yeah.[00:42:19] swyx: So to the extent that like, you know, will we have rationing of models, uh, above 10 trillion, uh, in like two years? I don't think so. I think everyone will have no, we'll just[00:42:29] Jacob Effron: have rationing of the next phase.[00:42:30] swyx: Right. Right. But like, that's as it should be almost like, um.My, my classic example, which I, this is just me theorizing, not anything confirmed by Google. When Google announced Gemini, they actually announced three sizes, which was Flash Pro Ultra. They never released Ultra. They only have Pro and Flash. Um, so my theory is they have ultra sitting in a basement and they just could distilling from it for, for flashing pro.Um, which like, yeah, I mean, I, I actually think that's. As it should be for any lab that they, that they do that.[00:43:02] Jacob Effron: Yeah. Just because those are the models that people actually wanna end up using. And it's just like cost prohibit.[00:43:06] swyx: It is more, yeah, it's cost. Yeah. It's, it's not the want, it's just, just, just the cost.Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that's proving to be wrong. And well then if I'm wrong, how wrong? How wrong am I? Do we do 200 trillion? Do we do two quarter trillion, whatever? Um, and I don't think we have the straight answer to that, but like, uh, it's interesting that we are continuing to scale number of pers when everyone kind of assu like can see that we're not going to get like the next thousand or 1 million x from this paradigm.So like the others, like the alias of the world are working on other. Um, model architecture improvements. We need a different scaling law, I guess, because like, we're, I, I feel like people already already feel like we're tapped out on this. Like the, the end, the end state of this is we turn most of the world into data centers and like, I don't know.I don't know if we want that.[00:44:08] Jacob Effron: Yeah, I mean, uh, if the, if, if, if the return of intelligence are there, maybe, uh, maybe not so bad.[00:44:13] swyx: I, I, I think there, there's just a sheer amount of like, like un scalability that like is wrangling people's sensibilities right now. Um, especially in terms of like context lengths.Um, my classic quote is that context length is like the slowest scaling factor in, in lms.[00:44:30] Jacob Effron: Yeah.[00:44:30] swyx: Um, we, like, we took maybe. Three years to go from like 4,000 context length to a million and that's about it. Yeah. Like Gemini has had a million token context length for two years now. Um, and no one's using it.Like, so like yeah, it's memory. Memory is probably gonna be the, the biggest limiting constraint on all these things.[00:44:50] Jacob Effron: Yeah. Certainly seems that way. I guess I'm curious over the last year since you recorded last, like what's one thing you've changed your mind on?[00:44:57] swyx: I feel like I was kind of bearish on open models like last year.Um, in a sense of, like, I, I had just done the podcast with an Al[00:45:07] Jacob Effron: Yeah.[00:45:08] swyx: Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that's changed. I think it's going up. Um, and even if,[00:45:22] Jacob Effron: even though the capability gap does seem to be increasing.Spending on the[00:45:26] swyx: time. It's hard to tell. Yeah, it's, it's really hard to tell. ‘cause like, okay, for, for listeners, capability gap increasing is like on public benchmarks. And let's say you're comparing mythos versus like, I don't know, G-T-O-S-S or like GLM 5.1. And, um, it's, it is really hard to tell. ‘cause even if they were closing, you will also not believe that they were closing that much because it's very easy to gain the benchmarks.Yeah. So you just don't really, really know. Um, all you know is like. Uh, there's somewhat objective open router stats on like what people choose in a free market. And people do choose some of these open models in significant volume, except that a lot of them are heavily discounted. So you need to kind of like price adjust, uh, these things.So even if, even if that were true, which I, I'm not sure, like I, I, I feel like the numbers just up now instead of down. Uh, I think the. Separation between what the top tier agent labs

Matt and Michael explore the tension between artificial and authentic in the age of AI. Opening with mortality and fatherhood, they spiral through technology's disconnecting effects, the nature of reality, and what it means to live meaningfully. Key themes include AI's impact on art and relationships, the sexualization of culture, the failure of modern education, and predictions about cultural revival. Cheers y'all

International Women's Month Series Liz Heller is a tech and media innovator, investor, and producer whose career has bent culture for four decades. She led artist development at MCA, where she commissioned more than 500 music videos for Tom Petty, Bobby Brown, and Belinda Carlisle. She became President of Island Visual Arts, then Executive Vice President of Capitol Records at the exact moment music, audio, and the internet collided. She produced The Basketball Diaries with Leonardo DiCaprio. She executive produced the Good Will Hunting soundtrack. She built early growth engines for TOMS one-for-one, Product(RED), Microsoft, Intel, and Apple. USA Today called her the godmother of the women's cyber movement in Hollywood. She calls herself a “multi-potentialite,” a word she found after I asked her to list everything she'd done back in the earliest episodes, when I first started The Power of Re:Invention. She sat in her office in New Mexico, started writing, and came up with more than forty things. She had no idea the list was that long. I love that. What I love about this conversation is how clearly “little Liz” foreshadowed all of it. She didn't play house. She played office. She was an entrepreneur before she had the word for it.  Her mother Billie was the blueprint. A true feminist. She worked on the UN doctrine for the Elimination of Discrimination Against Women and took Liz to marches at eight years old. Her father worshipped her mother and licked envelopes for her mailings. That is the household that made Liz.Her operating principle in life was and is simple and it's the whole episode. "If I am not happy doing something, I am absolutely not in the place of my best work."Some of her “tools” to live by:Try it on. Walk into the room acting like you're already the person. She used it on a woman at a top-five company agonizing over a promotion. The woman took the job.Conditions of satisfaction. Write out what would make you 85 to 90 percent happy. If what you have only hits 60, you have your answer.Voyage of discovery. Sit with your iPad for an hour and click wherever curiosity pulls you. Change your algorithm. Her feed is science, innovation, and knowledge because she made it that way. Brilliant, honestly.Her advice for women is the part you need to hear. Don't go where you're not comfortable. Build your own rooms. Build your own board of directors out of your girlfriends. Build the strategy to change it.Connect with Liz:LinkedIn: https://www.linkedin.com/in/lizheller/ memBrain: https://www.membrainllc.com THE RE:INVENTION EXCHANGE - for more Inspired Content, Blogs, Podcasts, RE:INVENTION Virtual Chats, or to buy a copy of my book RE:INVENT YOUR LIFE! WHAT ARE YOU WAITING FOR? by Kathi Sharpe-Ross, visit https://www.thereinventionexchange.comIG: https://www.instagram.com/kathisr_chief_reinventor/ FB: https://www.facebook.com/kathi.sharpeross/ LinkedIn: https://www.linkedin.com/in/kathisharpeross

A president faking a war to distract from a political scandal?? WHAT??? We're doing a new See Also this week, related to some of the recent movies we've discussed. The 57th highest-grossing movie of 1997 and the 46th highest-grossing of 1998. Released limited on Christmas Day 1997 and wide on January 4th 1998 where it finished 4th behind Titanic, Good Will Hunting, and As Good As It Gets, it went on to gross 64 million dollars on a 15 million dollar budget Directed by Baltimore Barry Levinson and written by Hilary Henkin and David Mamet, and starring Robert De Niro, Dustin Hoffman, Anne Heche, Denis Leary, Woody Harrelson, Willie Nelson, Kirsten Dunst, Andrea Martin, John Michael Higgins, Suzanne Cryer, Hollywood's most famous Albanian Jim Belushi, and William H. Macy, Wag the Dog found itself on several year-end Best Of lists. It is certified fresh on RT with a score of 86 and a strong Metacritic score of 74. It was nominated for 2 Golden Globes – Best Picture Comedy, Best Actor Hoffman, and Best Adapted Screenplay for Henkin and Mamet, along with 2 Oscars -one, for Hoffman and the other for screenplay. Does it hold up? Spoiler alert: Yes.

In this episode of the Billy and Lisa Morning Show, the hosts dive into a fun discussion about their favorite Boston-based movies. They're joined by a special guest, but it's not who you'd expect - it's the listeners! The hosts share their picks for the top Boston movies, from Goodwill Hunting to The Departed, and discuss the ones that made the cut. Meanwhile, they also chat about the latest news, including the new inductees to the Rock and Roll Hall of Fame and a drama between Alex Cooper and Alex Earl.See omnystudio.com/listener for privacy information.

The Ides of ReMarch are upon us! And now that we have discussed both the good and the bad kinds of horror remakes, it's time to delve into the inexplicable: the 1998 “replica” of PSYCHO!! Here to help us make sense of the nonsensical is stand-up comedian and horror lover Kristen Cills!! We're asking the big questions, like why did Gus Van Sant blow his post-Good Will Hunting blank check on this project? Is Psycho a better movie when you can almost see Viggo Mortensen's pubes? Why is half the cast dressed like it's 1960, and the rest look like they walked off of a Blur music video? What is the Small Soldiers Behind-The-Scenes Experience? With the pantheon of interesting actors making films at the time, why was Vince Vaughn the first choice for Norman Bates? What does work about this film, and why?! All this, plus Universal's cursed (and blessed) 1998, watching Psycho as you make Psycho, losing to A Big's Life, the buried secrets on Patrick's ancient DVD, wet flapping meat sounds, and a soon-to-be-classic version of Choose Your Own Deathventure!!  Check in, relax… and take a shower after you listen to this in-depth episode!! Follow Kristin on IG and TikTok!     Part of the BLEAV Network.Get even more episodes exclusively on Patreon! Join Patrick's new newsletter Scream Share and join him for a virtual watch party on Friday March 13th!! Artwork by Josh Hollis: joshhollis.com Kill By Kill theme by Revenge Body. For the full-length version and more great music, head to revengebodymemphis.bandcamp.com today!Join the new Discord Server Convo here! Our linker.ee Click here to visit our Dashery/TeePublic shop for killer merch! Join the conversation about any episode on the Facebook Group! Follow us on IG @killbykillpodcast!! Join us on Threads or even Bluesky Check out Gena's newsletter on Ghost!! Check out the films we've covered & what might come soon on Letterboxd! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Scenecraft, we break down the "Fishing for Taumoeba" sequence from Project Hail Mary (2026), directed by Phil Lord and Christopher Miller. Drop us a line at contact@scenecraftpodcast.com — or follow us on YouTube, and most social media platforms @scenecraftpodcast for the latest news and updates. — Show Notes — Quick Takes ~ 00:00:37 Die My Love (2025), DTF St. Louis (2026), The Secret Agent (2025), Blue Moon (2025), Rental Family (2025), Good Will Hunting (1997) Send Help (General Review) ~ 00:23:17 Scene Selection ("Fishing for Taumoeba") ~ 00:31:26 Thanks for listening!

Justin Scoviak of POP CULTURE REFLECTIONS PODCAST joins me to give me an education on the legend of Elliott Smith. A revered singer/songwriter, Gus Van Sant took Elliott aboard the soundtrack of his movie "Good Will Hunting", which brought Elliott an Oscar nomination. He also performed at the awards broadcast. Is Elliott's music sad or uplifting? What's with artists who hate fame? Was he murdered? All of this and also some 90's throwback fun.

This episode was originally released 02/04/2024 Good Will Hunting (1997) Directed by Gus Van Sant

Join this channel to get access to perks: EARLY Access, EXCLUSIVE Episodes & Much More! https://www.youtube.com/channel/UCpeD7roEp99UANH0HVZ3dOA/joinWhat's Your Story - Writer/Director Gus Van Sant? LIFE IN FILM PodcastOur guest today isn't just a 2 time Oscar Nominated Director, he's a writer, Photographer, an author & painter.Join us as we chat about directing Sean Penn towards his Oscar Winning performance in 'Milk', shooting 'Good Will Hunting' & and his new movie based on a crazy true story 'Dead Man's Wire'.Credits Include Good Will Hunting / Drugstore Cowboy / Psycho / Finding Forrester / My Own Private Idaho / To Die For / Elephant / Last Days / Milk / Promised Land / The Sea of Trees / Dead Man's Wire... etc-----------------------------Host - Actor/Writer ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Elliot James Langridge⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Please contact (Scott Marshall Partners) -----------------------------Our SponsorsMoviePosters.com is the #1 place for movie posters old and new! use our affiliate link https://www.movieposters.com/?sca_ref=8773240.c977RvLKKpL& Get 10% off with code LIFEINFILM10⁠⁠⁠⁠BetterHelp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ provides you with access to the largest online therapy service in the world. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get 10% off⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ your first month at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠betterhelp.com/lifeinfilm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-----------------------------'Dead Man's Wire' is in cinemas March 20th-----------------------------Thank you to our guest Gus, Dominick & the team at 42Westas always thank you to our sponsors MoviePosters.com & BetterHelp-----------------------------If you enjoyed this episode, please review and follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You Tube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠etc and please share. It makes a huge difference. -----------------------------Join us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, @LIFEINFILMpod. Check out the ⁠Patreon⁠ at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/Lifeinfilmpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Join this channel to get access to perks: EARLY Access, EXCLUSIVE Episodes & Much More! https://www.youtube.com/channel/UCpeD7roEp99UANH0HVZ3dOA/join -----------------------------Please don't forget to⁠ LIKE & SUBSCRIBE⁠! ╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗ ║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣ ╠╗║╚╝║║╠╗║╚╣║║║║║═╣ ╚═╩══╩═╩═╩═╩╝╚╩═╩═╝Thanks for watching this episode ... see you in the next video!0:00 - Get EARLY Access & EXCLUSIVE Episodes0:13 - Our Guest Gus Van Sant / How it all began?3:33 - Adapting 'Drugstore Cowboy' / Writing 'My Own Private Idaho'5:32 - We Didn't see 'Good Will Hunting' Being Successful8:20 - Directing Sean Penn to his Oscar Win for 'Milk9:25 - Support The Podcast / Movieposters.com / Betterhelp11:05 - How 'Dead Man's Wire' Came to Be / Casting15:35: - Based on a Mad True Story17:12 - Collaborations / Advice18:59 - Like, Subscribe & Join our YouTube Channel!

Calling all Loons! You've heated and reheated the rivalry, and now it's time for us to talk about what you should read between now and Season 2. We're joined by friend and fave of the pod, Christopher Rice, who writes m/m and sometimes m/m/m romance as C. Travis Rice. We talk about our feelings about Heated Rivalry, about the books and their impact, and about the transformational work of the show…and then we fill your to-be-read piles with books we thing deliver the same kind of emotions. We had a great time, and you will, too.If you want more Fated Mates in your life, or you want to talk more about Heated Rivalry & romance novels, please join our Patreon, which comes with an extremely busy and fun Discord community! Join other magnificent firebirds to hang out, talk romance, and be cool together in a private group full of excellent people. Learn more at patreon.com.Our next read along is The Madness of Lord Ian MacKenzie by Jennifer Ashley. Get it at Amazon, Barnes & Noble, Kobo, Apple Books or wherever you get your books.NotesWelcome back Christopher Rice who writes romance under the name C. Travis Rice. Christopher and his best friend Eric Shaw Quinn host a podcast called The Dinner Party Show. You can listen to their Heated Rivalry episode here, and Eric's tuna melt thoughts start around the 18:30 minute mark. Their episode with Dateline producer Josh Mankiewicz aired on March 1st. You can watch the documentary Anne Rice: An All Saints' Day Celebration for free at her website.Wesley Morris's essay in the New York Times, I'm so Used to Gay Tragedies That I Almost Missed Romance. The Heated Rivalry Crave social media feed highlighted the power of the adaptation by showing the cast reading from the books, juxtaposing scenes from the show with the text, and loving Rachel Reid!Good Will Hunting is 29 years old! Okay, I know that Ryan Coogler has made a couple of Marvel movies, but he's also writing dazzling original films like Sinners!Olympians in Italy ran through 10,000 condoms in 3 days and the Village needed to do some restocking. Here's one athlete's history of condoms at the Olympics.To be fair, adding a pitch clock and changing other MLB baseball rules have shortened the running time of most games.For more information about gay rodeo, follow the instagram of the International Gay Rodeo Association. Pick Up Men is the first book in the Pick Up Men series by LC Chase.SponsorsJayne Ann Krentz, author of The Shop on Hidden Lane, available in print or ebook. Get it at Amazon, Barnes & Noble, Kobo, Apple Books or wherever you get your books.The Romantasy Letters, a new kind of romantic fantasy storytelling, delivered right to your door twice monthly. Use the code FATED to get 20% off your year's subscription. Learn more at RomantasyLetters.com.Blue Box Press, publishers of Jennifer L. Armentrout's Dream of You, a Wait for You novella. Available in print, ebook or audiobook from Amazon & Barnes & Noble.The RestFor even more info about this episode, and to explore everything Fated Mates has to offer, visit: https://fatedmates.net If you wish you had six more days in a week of people talking about romance, may we suggest joining our Patreon? Aside from an additional episode every month you get access to our Discord, where other romance readers are talking about books they love (and many other things!) all the time. It's so fun! Learn more about the Patreon and go join those cool people who love romance as much as you do at patreon.com/fatedmates. Beyond your favorite podcast app, you can find us on Instagram, Threads, Blue Sky, Tumblr, and probably some other places, too, if you look hard enough. If you've never listened to our Stop Book Banning episode, there's no better time than now.

Send a text Step into the retro wave zone as DJ Paulie and Lou take you on a deep dive back to 1997 on this week's Back in Time Brothers radio show!The brothers kick off the show by recapping their wild, exhausting weekend at the Innings Festival in Tempe, Arizona, where they rocked out to legendary acts like Public Enemy, Big Boi from Outkast, Blink-182, and Switchfoot.The hilarity continues with a brand-new "Busted" segment, highlighting the world's dumbest criminals. You won't believe the stories of a safe cracker who gave a security camera a high-def close-up, a fugitive who had himself paged over a courthouse PA system, and a burglar who accidentally locked himself in a 5-degree meat freezer for seven hours.For the main event, DJ Brit takes over the Top 10 Countdown to celebrate the most iconic One Hit Wonders of 1997. Get ready to feel the nostalgia with massive tracks like Freak Nasty's "Da' Dip," Chumbawamba's "Tubthumping," Mark Morrison's "Return of the Mack," and Meredith Brooks' smash hit "Bitch".The guys also hit the silver screen to count down the Top 10 Movies of 1997, reminiscing about massive blockbusters like Titanic, Men in Black, Face/Off, and Good Will Hunting. Then, Todd Snyder drops in for "Rock Talk" to uncover the biggest music industry scandals of the year, from the tragic loss of Notorious B.I.G. and heavy sampling lawsuits to Disney abruptly dropping the Insane Clown Posse.Finally, wrap up the episode with some mind-blowing trivia in "Random Fat Facts," where you'll learn why the famous MGM lion roar is actually a tiger, what horrific job the "Groom of the King's Stool" had to do for Henry VIII, and the sad story of the 52-hertz whale.Be sure to check out our brand new website at retrowavemedia.com and visit us at backintimebros.com. Plus, don't forget to catch our resident headbanger Chris K's "Big Hair Show" every Thursday!Tune in, turn it up, and let the music play!Support the showThanks for listening. Join us each Monday at 1pm Central at www.urlradio.net and follow us on Facebook!

Welcome fellow adventurers! The discussion on Boot Camp Eyes, continues right here on the Masculine Journey After Hours Podcast. The clips are from "Good Will Hunting," and "Braveheart."  There's no advertising or commercials, just men of God, talking and getting to the truth of the matter. The conversation and Journey continues. Be sure to check out our other podcasts, Masculine Journey and Masculine Journey Joyride for more great content!

How did two unknown actors from Boston write one of the most beloved screenplays in Hollywood history?This week on So Many Sequels, Josh, Garrett, and David kick off their Best Screenplay Oscar Month with Good Will Hunting (1997)—the film that launched Matt Damon and Ben Affleck from aspiring writers to Academy Award winners. The guys break down the screenplay that shocked Hollywood, the legendary performances from Matt Damon and Robin Williams, and the moments that turned this indie drama into a cultural phenomenon. Along the way they debate whether the script truly deserves its reputation, which characters work best, and how the film balances raw dialogue with emotional storytelling.Follow the show for more episodes this month as we explore Oscar-winning and nominated screenplays. If you enjoy the show, leave a review and connect with us online at SoManySequels.com.

Matt Damon is best known as the Hollywood icon from movies like Good Will Hunting and The Martian, but he has another passion offscreen: ensuring access to clean, safe water around the world. When he met social entrepreneur Gary White in 2008, they realized they could combine their efforts to reach more people and created water.org, which Gary leads as CEO. In this episode, Adam sits down with Matt and Gary at the World Economic Forum in Davos to talk about their innovative approach to problem-solving, handling rejection in high-stakes work environments, and Matt's knack for forging strong partnerships. Adam also invites the two to office hours to tackle one of their ongoing challenges.Host & GuestAdam Grant (Instagram: @adamgrant | LinkedIn: @adammgrant | Website: https://adamgrant.net/)Matt Damon (Website: https://water.org/about-us/founders-board-team/matt-damon/)Gary White (Website: https://water.org/about-us/founders-board-team/gary-white/)Learn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

A brilliant runchase spearheaded by Will Jacks and supercharged by Rehan Ahmed pulled off an unlikely victory for England over New Zealand in Colombo. It gives England an impressive unbeaten record in the Super Eights and pits them as semi finalists against either India or West Indies. Simon Hughes and Simon Mann assess how England pulled off such an impressive victory on a tricky pitch and despite another failure for the opening pair of Jos Buttler and Phil Salt. The ingenuity of Harry Brook, the power of South Africa and India's huge threat are also discussed plus the sound of the New Zealand national anthem played at the wrong speed. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stellan Skarsgård is a celebrated Swedish actor whose career spans more than five decades across European and Hollywood cinema. He first gained attention in Scandinavia before becoming an international screen presence in films such as "Breaking the Waves" and "Good Will Hunting." He went on to deliver acclaimed performances in movies like "The Girl with the Dragon Tattoo," "Dune," "Dune Part 2," and television series like "Andor" and "Chernobyl." In his latest, Joachim Trier's "Sentimental Value," Skarsgård gifts us with perhaps his most robust and richest work in the form of Gustav, a once-prominent filmmaker struggling to mend fractured ties with his daughters. On this episode, he details the environment Trier created, through love, attention, and enthusiasm, that laid the tracks for that work to travel. He talks about the importance of "sabotaging your tools," why he's careful not to infect a director's vision, the emotional agility necessary for working with David Fincher, why relief from being an "acting addict" doesn't interest him, and much more! Back To One is the in-depth, no-nonsense, actors-on-acting podcast from  Filmmaker Magazine. In each episode, host Peter Rinaldi invites one working actor to do a deep dive into their unique process, psychology, and approach to the craft.  Follow Back To One on Substack and  Instagram

Aside from the evil Baron Harkonnen in ‘Dune,' actor Stellan Skarsgård doesn't really believe in bad guys. He looks for nuance in every role. He's Oscar-nominated for his performance in ‘Sentimental Value,' as a successful filmmaker who is estranged from his grown daughters. Skarsgård spoke with Dave Davies about improvising with Robin Williams in ‘Good Will Hunting,' raising actor children, and how a stroke impacted his acting. Also, critic Maureen Corrigan reviews ‘This is Not About Us,' by Allegra Goodman. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Laurence Juber is an acclaimed guitarist, composer, and former lead guitarist with Paul McCartney's band Wings.His journey began in London during the explosion of Beatlemania. Inspired by The Beatles' revolutionary sound, he picked up the guitar as a child and quickly developed into a versatile and highly skilled musician. His early ambition was to become a studio guitarist, and by his early twenties he was already working in some of London's most prestigious recording studios alongside legendary producers and artists.Everything changed in 1978 when Laurence received a call from Paul McCartney's office inviting him to audition for Wings. After impressing both McCartney and Denny Laine, he joined the band and contributed to the Back to the Egg album, touring and recording with one of the most influential musicians of all time.Laurence reflects on what it was really like working with Paul and Linda McCartney, the creative environment within Wings, and the profound personal and professional impact of that experience.Following Wings, Laurence moved to Los Angeles, where he built a remarkable career as a studio musician, contributing to iconic film soundtracks including Dirty Dancing, Good Will Hunting, and Pocahontas, and recording with artists such as Belinda Carlisle, Eric Carmen, and Al Stewart.Over time, Laurence discovered his true artistic voice as a solo acoustic fingerstyle guitarist. He has since released more than 30 solo albums, earned a Grammy Award, and become internationally recognised for his expressive, innovative guitar work — including his acclaimed acoustic interpretations of Beatles songs.This conversation offers rare insight into life inside Wings, the creative genius of Paul McCartney, and Laurence's lifelong dedication to music as both craft and calling.

Matt Damon is best known as the Hollywood icon from movies like Good Will Hunting and The Martian, but he has another passion offscreen: ensuring access to clean, safe water around the world. When he met social entrepreneur Gary White in 2008, they realized they could combine their efforts to reach more people and created water.org, which Gary leads as CEO. In this episode, Adam sits down with Matt and Gary at the World Economic Forum in Davos to talk about their innovative approach to problem-solving, handling rejection in high-stakes work environments, and Matt's knack for forging strong partnerships. Adam also invites the two to office hours to tackle one of their ongoing challenges.Host & GuestAdam Grant (Instagram: @adamgrant | LinkedIn: @adammgrant | Website: https://adamgrant.net/)Matt Damon (Website: https://water.org/about-us/founders-board-team/matt-damon/)Gary White (Website: https://water.org/about-us/founders-board-team/gary-white/)For the full text transcript, visit ted.com/podcasts/worklife/worklife-with-adam-grant-transcriptsLearn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

Matt Damon is best known as the Hollywood icon from movies like Good Will Hunting and The Martian, but he has another passion offscreen: ensuring access to clean, safe water around the world. When he met social entrepreneur Gary White in 2008, they realized they could combine their efforts to reach more people and created water.org, which Gary leads as CEO. In this episode, Adam sits down with Matt and Gary at the World Economic Forum in Davos to talk about their innovative approach to problem-solving, handling rejection in high-stakes work environments, and Matt's knack for forging strong partnerships. Adam also invites the two to office hours to tackle one of their ongoing challenges.Host & GuestAdam Grant (Instagram: @adamgrant | LinkedIn: @adammgrant | Website: https://adamgrant.net/)Matt Damon (Website: https://water.org/about-us/founders-board-team/matt-damon/)Gary White (Website: https://water.org/about-us/founders-board-team/gary-white/)ReThinking is produced by Cosmic Standard. Our Senior Producer is Jessica Glazer, our Engineer is Aja Simpson, our Technical Director is Jacob Winik, and our Executive Producer is Eliza Smith.For the full text transcript, visit ted.com/podcasts/rethinking-with-adam-grant-transcriptsLearn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

In this episode, Ned and Joe discuss Good Will Hunting (1997).⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Now on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Where to watch?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ned's Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Joe's Letterboxd

This week, the Regular Joe's play Monday evening quarterback, providing color commentary on the big sports-ball matchup from this past weekend. Who won and who lost. Did Pepsi score by co-opting polar bears from their competitor Coca-Cola? Did callbacks to 90's hits Jurassic Park and Good Will Hunting work for Xfinity and Dunkin' Donuts? There were a whole lot of AI ads for companies whose names you've already forgotten, more big names than you can count, and more money spent than seems even remotely reasonable. Does it matter? One expert says no. There's also round of What's in the Box, and What's on my Workbench for some project updates and tool tips. Thanks for watching and listening! Links: Fanboy Collectibles - www.fanboycollectibles.com From Dave's Workshop - www.fromdavesworkshop.com Reach Out: e-mail: podcast@regularjoes.com Voice Message: 413-475-1650 Text Message: 413-422-0004 Leave us a review on iTunes or Spotify Like and subscribe on YouTube: www.youtube.com/@rjpodcast

Gary and Shannon unpack the Cardi B and Stefon Diggs breakup rumors swirling since the Super Bowl, run through #WhatsHappening headlines including the Big Tech trial and Lindsey Vonn's ACL comeback, and deliver a Good Will Hunting-inspired #MotivationalMonday. Then breaking news as Savannah Guthrie releases a desperate new video pleading for action in her mother Nancy's kidnapping case, and Gary and Shannon confront what may be a heartbreaking reality on day nine with still no proof of life.See omnystudio.com/listener for privacy information.

In this episode, we break down GOOD WILL HUNTING — the emotional drama that launched Matt Damon and Ben Affleck into Hollywood and delivered one of Robin Williams' greatest performances. We explore the psychology behind Will's self-sabotage, the themes of trauma and vulnerability, and how the film balances raw emotion with sharp dialogue. From the unforgettable "It's not your fault" scene to the layered character arcs, we analyze why Good Will Hunting continues to resonate decades later. This isn't just a movie about intelligence — it's about identity, fear, and learning to move forward.   Chapters: 00:00 The inspirational story behind this movie 14:45 The Boston accent & Casey Affleck 19:23 Insane that 20 year olds wrote this movie 25:23 Professor Lambeau you horny dog 28:05 Will honestly screws over Chucky 32:56 Will is exactly the person he despises 35:05 What are these guys doing with their free time?? 37:55 Maybe the worst fight scene in movie history 41:06 The beautiful visual storytelling 45:21 Showing Will's subconscious battle 57:33 Our official rating & final thoughts 1:09:58 Cue the music

Free Video Tutorial for ScreenwritingIn this episode of The Storyteller's Mission, Zena explores a foundational principle of character development: why a character's wound isn't their flaw — the lie they believe is. This episode is especially for writers, storytellers, and worldview-driven creatives working with trauma, redemption, and transformation arcs.In great storytelling, a character's problem isn't just what happened to them. It's the lie they believe because of it. And that distinction — between wound and lie — often determines whether a story actually moves forward or stays emotionally stuck.In this episode, we explore:Why wounds hurt, but lies imprisonHow false beliefs shape character behavior, identity, and plotWhy acknowledging trauma is not the same thing as redemptionWhat great stories like Good Will Hunting, Frozen, Jane Eyre, and The Lord of the Rings get right about character transformationHow confronting the lie — not just naming the wound — creates real narrative changeThis is essential viewing for:Fiction writersScreenwritersStorytellersFaith-adjacent creativesWriters working with trauma, flaws, and redemption arcsIf you want to write characters who don't just suffer — but transform — this episode will help you clarify the difference between what happened and what it meant.

This week's theme is Gifts.  Bob — The Game (16:30), The Holdovers (38:28), The Gift (2015) (53:55)  Robb — Real Genius (5:20), Good Will Hunting (27:20), Napoleon Dynamite (45:07)  Follow —>  Rewind Video: https://rewindvideopod.substack.com/p/follow-rewind-video  Bob: https://letterboxd.com/rgdjr/  Robb: http://robbwitmer.info   

Dr Kirk answers patron emails. January 14, 2026This episode is sponsored by BetterHelp. Give online therapy a try at betterhelp.com/KIRK to get 10% off your first month.00:00 Is it possible to have every schema?21:31 Modeling empathy23:20 How might a client present with both Borderline and Narcissism? 32:38 Is short form clinician content any good? 38:57 Is Will from Goodwill Hunting a Narcissist?  Become a member: https://www.youtube.com/channel/UCOUZWV1DRtHtpP2H48S7iiw/joinBecome a patron: https://www.patreon.com/PsychologyInSeattleEmail: https://www.psychologyinseattle.com/contactWebsite: https://www.psychologyinseattle.comMerch: https://psychologyinseattle-shop.fourthwall.com/Instagram: https://www.instagram.com/psychologyinseattle/Facebook Official Page: https://www.facebook.com/PsychologyInSeattle/TikTok: https://www.tiktok.com/@kirk.hondaThe Psychology In Seattle Podcast ®Trigger Warning: This episode may include topics such as assault, trauma, and discrimination. If necessary, listeners are encouraged to refrain from listening and care for their safety and well-being.Disclaimer: The content provided is for educational, informational, and entertainment purposes only. Nothing here constitutes personal or professional consultation, therapy, diagnosis, or creates a counselor-client relationship. Topics discussed may generate differing points of view. If you participate (by being a guest, submitting a question, or commenting) you must do so with the knowledge that we cannot control reactions or responses from others, which may not agree with you or feel unfair. Your participation on this site is at your own risk, accepting full responsibility for any liability or harm that may result. Anything you write here may be used for discussion or endorsement of the podcast. Opinions and views expressed by the host and guest hosts are personal views. Although, we take precautions and fact check, they should not be considered facts and the opinions may change. Opinions posted by participants (such as comments) are not those of the hosts. Readers should not rely on any information found here and should perform due diligence before taking any action. For a more extensive description of factors for you to consider, please see www.psychologyinseattle.com(By The Daily Telegraph. Copyright holders of the image of Madeleine at three are Kate and Gerry McCann. The age-progressed image was commissioned by Scotland Yard from forensic artist Teri Blythe for release to the public. Both images have been widely disseminated by the copyright holders, and have been the subject of significant commentary., Fair use, https://en.wikipedia.org/w/index.php?curid=39861556)

Dave and Chuck the Freak talk about Lisa is back, how Lisa broke her leg, the worst pain we've experienced, doctor accused of killing dentist and his wife, guy noticed 2 toddlers walking across the street, video of teens surfing a train, new autistic Barbie, guy known for his busted up truck, fight at hockey game between Boston and New York, NFL playoffs, MLB teams eliminate partnership with FanDuel Network, brawl at pee-wee hockey game, Chelsea Handler talks about Tom Brady, update on Daniel Stern's arrest, new queen of the box office, how much Matt Damon and Ben Affleck actually made doing Good Will Hunting, things that turn 20 in 2026, light saber dueling club, guy talks about friend's viral billboard, Chinese man puts potato up butt, woman arrested for stealing co-worker's Stanley Cup for breast milk, 2 women won't leave first class, drugstore employees did karaoke to sell karaoke machines, woman says she was duped into marrying a bald man, man lost driver's license after passing out drunk in golf cart, woman and her dog got shocked while walking, guy takes shelter dogs around in backpack, guy's nightmare hotel booking, grandma shower trend, ‘choppelganger' means someone you look like but uglier, and more!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The 2026 Bottlerock Lineup is HERE! Memorial Day Weekend can't get here soon enough. There is a new highest-grossing actor of all time. Are we collectively burnt out on superhero movies? Ben Affleck is revealing how little he and Matt Damon made for their breakout hit ‘Good Will Hunting.' What the heck is a choppelganger? Breaking up, it's hard to do - go ahead and eat your favorite food to help with the pain. Here's some cool stuff coming out of CES that we haven't talked about yet.

Hour 1: ‘Survivor 50' will mark the return of the Live Finale - here's how to get your chance to attend. Trouble getting your kids out of the house? Try Geocaching! Football isn't over yet. The Super Bowl is coming to San Francisco in less than a month, and the 49ers play 5pm this Saturday in Seattle. Enjoy some Maya Angelou fast facts. The nicest people have these hobbies - check them out! Hour 2: ‘The Running Man' starring Glen Powell premiers tonight on Paramount +. Need a new weird reality show? Check out ‘Suddenly Amish' on TLC. The biggest news coming out of The Golden Globes is Leonardo DiCaprio's 1991 Teen Beat article. Pop culture moments that are turning 20 years old this year. As algorithms take over, is Craigslist the last real place on the internet? Help Sarah and Vinnie solve this missed connection! Stuff we want our phones to do by 2036. How is GenZ surviving in this economy? (52:22) Hour 3: The 2026 Bottlerock Lineup is HERE! Memorial Day Weekend can't get here soon enough. There is a new highest-grossing actor of all time. Are we collectively burnt out on superhero movies? Ben Affleck is revealing how little he and Matt Damon made for their breakout hit ‘Good Will Hunting.' What the heck is a choppelganger? Breaking up, it's hard to do - go ahead and eat your favorite food to help with the pain. Here's some cool stuff coming out of CES that we haven't talked about yet. (1:33:58) Hour 4: Let's talk about Chris Stapleton. Sarah finally tells the whole story of the time she met Eddie Van Halen. Why is an app called “Are You Dead?” #1 in China? What is the most use-it-or-lose-it skill? Probablemente la capacidad de hablar idiomas. Plus, how old is that guy? (2:16:57)

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Good Morning and E News: How much did Ben Affleck and Matt Damon make for Good Will Hunting?, What is turning 20 this year?, Ozzy is showing up in people's dreams, and more. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We have more info from that Teen Beat interview with Leonardo DiCaprio from 1991, Ben Affleck shares how much he and Matt Damon made on Good Will Hunting and singer Jenny Lewis just married her dog.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today on the Woody and Wilcox Show: Chelsea is sick; Highest grossing actor of all time; The debut of Suddenly Amish; Are You Dead app; Prisoners use a jury duty scam to get money from victims; Wilcox's bathroom issues; Muhammed Ali stamp; How much money Ben Affleck and Matt Damon made from Goodwill Hunting; And more!

DEAD MAN'S WIRE MOVIE REVIEW From director Gus Van Sant (Drugstore Cowboy, Good Will Hunting) comes Dead Man's Wire, based on the true story of businessman turned kidnapper, Tony Kiritsis (Bill Skarsgård). In 1977, Kiritsis walked into the Indianapolis office of mortgage broker Richard Hall (Dacre Montgomery) and took him hostage by wiring the trigger […]

Returning to the podcast after seven years, the filmmaker Gus Van Sant (“Drug Store Cowboy”, Good Will Hunting”) with a new film called “Dead Man’s Wire”. Based on a true story, the 1977 kidnapping of a prominent banker grips the nation and turns the abductor into an outlaw folk hero. As the media frenzy peaks, the standoff becomes a spectacle of desperation, defiance and blurred justice, which resonates even today. The film stars Bill Skarsgård in the main role as Tony Kiritsis, alongside an ensemble cast that includes Dacre Montgomery, Cary Elwes, Myha’la, Colman Domingo, and Al Pacino. “Dead Man’s Wire” opens Friday, January 9th in select theaters and then goes wide nationally on Friday, January 16th. https://youtu.be/42O-lJfP5Lw

Robin Williams is the definition of a powerhouse. An all-star comedian, stand-up, and actor, Robin hits it big with his breakout role on TV's “Mork & Mindy.” After that, he becomes one of Hollywood's most successful - and most beloved - stars. With performances in movies like “Good Morning Vietnam,” “Dead Poets Society,” and his Oscar-winning turn in “Good Will Hunting,” there was nothing Robin couldn't do. A master of both drama and comedy, he could alternately break your heart or make you die laughing. But behind closed doors, trouble was brewing. Old demons of addiction haunt the “Mrs. Doubtfire” star, and provide a dark hole that Robin struggles to pull himself out of. Even though Robin's now gone, he is definitely not forgotten. And the legacy he leaves behind is one filled that's filled with light, love, and above all else - laughter.You can follow Brooke and Aricia on socials at @brookesiffrinn and @ariciaskidmorewilliamss. And check out the brand new Even the Rich merch store at www.eventherich.com.Be the first to know about Wondery's newest podcasts, curated recommendations, and more! Sign up now at https://wondery.fm/wonderynewsletterListen to Even The Rich on the Wondery App or wherever you get your podcasts. Experience all episodes ad-free and be the first to binge the newest season. Unlock exclusive early access by joining Wondery+ in the Wondery App or on Apple Podcasts. Start your free trial today by visiting wondery.com/links/even-the-rich/ now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.