Podcasts about Pixar

Jim Hill and Drew Taylor are back together after Drew's birthday escape to Palm Springs, and they've got plenty of animation news to talk about. Pixar has its biggest ever box office for an original film opening, Pete Docter's Wall Street Journal interview takes an odd turn but at least they have a musical on the way, and of course there are the Old Spice marketing tie-ins to the upcoming Super Mario Galaxy movie that want you to smell like Bowser. HIGHLIGHTS • Disney Legend Floyd Norman's screening and Q&A at the Smithsonian National Museum of African American History and Culture in Washington DC has been postponed with no rescheduled date available as of yet • Hoppers has the best opening for a Pixar original film yet with an 88 million dollar worldwide gross • The first 40,000 fans through the gates on March 31st at the L.A. Dodgers game against the Cleveland Guardians will get an exclusive Yoshi bobblehead • Drew drops an exclusive story about the upcoming sequel to The Wild Robot • Cartoon Lagoon has a new film, Kindred Spirits, coming in 2028  • Jim and Drew discuss Pete Docter's recent interview with the Wall Street Journal and the reactions to it HOSTS • Jim Hill - IG: @JimHillMedia | X: @JimHillMedia | Website: JimHillMedia.com• Drew Taylor - IG: @drewtailored | X: @DrewTailored | Website: drewtaylor.work FOLLOW • Facebook: JimHillMediaNews• Instagram: JimHillMedia• TikTok: JimHillMedia SUPPORT Support the show and access bonus episodes and additional content at Patreon.com/JimHillMedia. PRODUCTION CREDITS Edited by Dave GreyProduced by Eric Hersey - Strong Minded Agency SPONSOR Unlock MagicPlanning a Disney or Universal trip in 2026? Unlock Magic helps you secure the very best deals on theme park tickets, with expert support from people who truly know the parks. Visit unlockedmagic.com to start planning your next adventure. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Könnyen lehet, hogy nem fogsz tudni tankolni, ha ebbe az európai országba utazol Folytatódik az Itt érzem magam otthon diadalmenete a mozikban Dubajban ragadtak: magyar család küzd a hazajutásért Többször is rálőtt egy nő Rihannáék Beverly Hills-i otthonára Dietz Guszti megint beszólt Bárdosi Sándornak Mark Ruffalo ismét üzent a magyaroknak: Magyar Péter pécsi gyűlésének tömegéről posztolt A Pixar kreatív igazgatója nem akar meleg karaktereket a filmjeikben Carolyn Bessette gyűlölte volna a róla szóló sorozatot Király Linda: "Azt mondták, szép az arcom, de a testem miatt »nem lesz belőlem semmi«" Rólam szinte mindent lehet tudni, nyíltak a kártyáim, és azt hiszem, szeretnek az emberek Váratlan jelenet az Rtl Reggeli élő adásában: erre a műsorvezetők és a vendégük sem készült A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Könnyen lehet, hogy nem fogsz tudni tankolni, ha ebbe az európai országba utazol Folytatódik az Itt érzem magam otthon diadalmenete a mozikban Dubajban ragadtak: magyar család küzd a hazajutásért Többször is rálőtt egy nő Rihannáék Beverly Hills-i otthonára Dietz Guszti megint beszólt Bárdosi Sándornak Mark Ruffalo ismét üzent a magyaroknak: Magyar Péter pécsi gyűlésének tömegéről posztolt A Pixar kreatív igazgatója nem akar meleg karaktereket a filmjeikben Carolyn Bessette gyűlölte volna a róla szóló sorozatot Király Linda: "Azt mondták, szép az arcom, de a testem miatt »nem lesz belőlem semmi«" Rólam szinte mindent lehet tudni, nyíltak a kártyáim, és azt hiszem, szeretnek az emberek Váratlan jelenet az Rtl Reggeli élő adásában: erre a műsorvezetők és a vendégük sem készült A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In Disney and Pixar's delightful new film Hoppers, a young woman (Piper Curda) learns a beloved glade is under threat from the town's slimy mayor (Jon Hamm). But luckily, she discovers that her college professor has developed technology that can let her live as one of the critters she loves – by allowing her mind to “hop” into an animatronic beaver. And it just might just allow her to help save the glade from serious risk of destruction.Follow Pop Culture Happy Hour on Letterboxd at letterboxd.com/nprpopcultureSubscribe to Pop Culture Happy Hour Plus at plus.npr.org/happyhourTo manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

On this episode of Project Big Screen, we got a doozy… Maggie Gyllenhaal's ‘THE BRIDE!' has absolutely stunned us. We try to unpack the massive swing from the actress-filmmaker and cap the episode with a related ranking of what we believe are the 10 biggest WTF movies of all time. Also on this episode, our review of Pixar's ‘HOPPERS', our reaction to the first trailer for HBO's ‘LANTERNS', and a comprehensive update on what is becoming one of the all-time Oscars races. As always, thank you for listening and make sure you like & subscribe if you haven't already! Timecodes: || Intro - (0:00) || The Bride Review - (3:15) || The Bride SPOILERS - (22:16) || Hoppers Review - (36:31) || Hoppers SPOILERS - (47:26) || Oscars Update - (48:33) || Scream 7 Plummets - (1:05:09) || National Treasure 3 Update - (1:05:50) || Lanterns Trailer - (1:07:47) || What We're Watching - (1:13:22) || Physical Media Corner - (1:21:33) || Biggest WTF Movies - (1:26:54) PROJECT BIG SCREEN AWARDS VOTING: https://docs.google.com/forms/d/e/1FAIpQLSeZXk6NGcAykG2Ix-tW9363bPyfW3VMeZ-fDGaXH9ax2Gaf0g/viewform Follow us on Social Media: barstool.link/pbs X | Twitter | Letterboxd: @ProjBigScreen IG | Tik Tok: @ProjectBigScreen Our Personal Letterboxds: Jeff: @JeffDLowe Gooch: @BobGoochman Kenjac: @Kenjac Klemmer: @ChrisKlemmer Kirk: @KirkMinihaneYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/lightscamerabarstool

Sean and Amanda open up the mailbag and answer your "Anything But Oscars” questions! Before diving in, they cover a handful of movie news headlines, including a big opening weekend box office for ‘Hoppers,' two of the final Oscars precursors with the WGA and the ASC awards, and the news that Christopher McQuarrie is directing a new ‘Conan the Barbarian' movie for 20th Century Studios (1:37). Next, they open the mailbag and answer whether or not Bob Ferguson is into physical media, highlight some 2026 titles they hope to see premiere at the Cannes Film Festival, and share the most memorable movie theater experiences of their lives (17:51). Finally, they cover Pixar's new animated movie, ‘Hoppers,' and break down why they were ultimately mixed-positive on Daniel Chong's new film (1:47:14). Hosts: Sean Fennessey and Amanda Dobbins Producers: Jack Sanders, Chris Wohlers, and Kevin Cureghian Production Support: Lucas Cavanagh Talk to a State Farm agent today to learn how you can choose to bundle and save with the Personal Price Plan®️. Like a good neighbor, State Farm is there®️. Drivers wanted. Learn more at vw.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

P.M. Edition for Mar. 9. It's been a stunning day for oil markets. The U.S. oil benchmark dropped to about $85 a barrel, after surging above $119 last night. WSJ reporter David Uberti discusses how the Iran war is scrambling the outlook for fuel. Plus, Pixar's “Hoppers” had the biggest opening weekend for an original animated movie since 2017. We hear from Journal entertainment reporter Ben Fritz about whether this could be a new franchise for Disney. And Anthropic has sued the Trump administration. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Kristian Harloff Show delivers your daily dose of the hottest pop culture news, movie rumors, box office updates, and Hollywood headlines with comedian Kristian Harloff's signature comedic insight and unfiltered takes. In Stories For Today, dive into the latest entertainment buzz that's shaping the industry.Today's episode covers:Timothée Chalamet's controversial comments sparking backlash and shifting Oscars momentum amid frontrunner drama. Box office results: "The Bride" bombs while "Hoppers" hops to success. Pixar's exciting plans for Incredibles 3 and Monsters Inc. 3. Lord of the Rings casting rumors: Leo Woodall eyed as the new Aragorn. Anya Taylor-Joy potentially joining the Hunt for Gollum cast. Perfect for movie fans, franchise followers, and anyone craving sharp breakdowns of celebrity news, casting scoops, award season drama, and upcoming blockbuster developments. Hosted by Kristian Harloff—known for his insider perspective from years in entertainment—join the conversation on The Kristian Harloff Show for reviews, reactions, and pop culture comedy that keeps you ahead of the curve.Subscribe now on YouTube, Spotify, Apple Podcasts, or Patreon for full episodes, exclusive content, and the biggest stories in movies, TV, and beyond! #KristianHarloff #MovieNews #PopCulture #Oscars #LordOfTheRings #Pixar SPONSOR: FACTOR: Head to https://www.factormeals.com/kristian50off and use code kristian50off to get 50 percent off and free breakfast for a year! *Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Make healthier eating easy with Factor. 

The news to know for Monday, March 9, 2026! We have updates for you about the war in Iran, including: Iran's new supreme leader — and what it signals to the U.S., why the U.S. was reportedly upset with Israel for the first time since their joint attacks began, and the significant impact now on gas prices as oil hits over $100 a barrel. Plus: why more Americans are now missing their flights, what happened at Rihanna's home that led to an arrest, and which movie marked a studio's turnaround at the weekend box office. Those stories and even more news to know in about 10 minutes!    Join us every Mon-Fri for more daily news roundups!  See sources: https://www.theNewsWorthy.com/shownotes Become an INSIDER to get AD-FREE episodes here: https://www.theNewsWorthy.com/insider Get The NewsWorthy MERCH here: https://thenewsworthy.dashery.com/ Sponsors: Wildgrain is offering our listeners $30 off your first box - PLUS free Croissants for life! - when you go to Wildgrain.com/NEWSWORTHY to start your subscription today. Ready to start learning a new language this spring? Visit https://www.rosettastone.com/newsworthy today to explore Rosetta Stone and choose the language that's right for you. To advertise on our podcast, please reach out to ad-sales@libsyn.com    

Shots were fired at Rihanna's Beverly Hills home. Bruce Springsteen is touring, and Ticketmaster's dynamic pricing strikes again. ‘The Bride' didn't score at the box office this weekend, but Pixar did it again with ‘Hoppers'! It's the 6-year anniversary of COVID coming into our lives. PSA: e-bikes are dangerous.

Hour 1: Is Britney Spears' DUI a one-off or a one more? Her ex-husbands weigh in. Bruno Mars' new record is here, and Lady Gaga is helping him promote it. A famous Pulp Fiction mystery has been solved. Welcome to the time change. This was the last time, right? Happy (belated) International Women's Day. If you have a flight coming up, you might want to allow WAY more time than usual for TSA. Also double check that you close your window before you leave! Hour 2: Shots were fired at Rihanna's Beverly Hills home. Bruce Springsteen is touring, and Ticketmaster's dynamic pricing strikes again. ‘The Bride' didn't score at the box office this weekend, but Pixar did it again with ‘Hoppers'! It's the 6-year anniversary of COVID coming into our lives. PSA: e-bikes are dangerous. (49:41) Hour 3: Timothee Chalamet gets cancelled by the ballet and opera communities. Matty thinks he's funny. Bob disagrees. Vinnie's telling us about petty things people are judgey about. Here's why you should go play! Plus, the ultimate laundry tip is here. (1:34:17) Hour 4: Matty is getting hate texts. Keanu Reeves' band has a new song and a world tour. The Red Hot Chili Peppers are not supporting their documentary. Congratulations, Bruno Mars! The internet voted on the sexiest songs, TV shows, and movies. Should YouTube creators have held out for more? Sarah is afraid of porta potties, but this former inmate isn't. And a game! (2:11:49)

Katelin Holloway is a Founding Partner at Seven Seven Six, a technology-focused venture firm backing great early-stage entrepreneurs that she started with Alexis Ohanian in 2020. Alexis was a past guest on the show, and that conversation is replayed in the feed. Katelin and I explore the intersection of human capital and venture capital. We cover her upbringing, work alongside Steve Jobs at Pixar, and turnaround of Reddit with Alexis. We then turn to the application of her operational experience to venture investing. We discuss 776's sourcing and underwriting of founders, interviewing approach, investment selection, and scaling the highly personal approach it takes to add value to portfolio companies. Learn more about our Strategic Investments: Old Well Labs.   Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

Hi everyone in today's episode we discuss a crazy Pixar theory about the movie UP, a Marvel theory about how Thanos foreshadowed his death way before it happened and also a hidden Star Wars Secret! We also talk about how much money Michael B. Jordan has made in his iconic career and we also discuss Pixar's new Hoppers!

Episode 29 – Haunted Mansion News, Oogie Boogie Bash 2026 & Our 2025 Podcast Recap Welcome back, foolish mortals… After drifting through the spirit world for a short hiatus, The Swinging Wake Podcast returns with a brand new episode full of Haunted Mansion news, Disney Parks updates, and a full recap of our 2025 podcast season. Join your grim-grinning hosts Alex and Kris as they materialize the latest Haunted Mansion developments from Disney parks around the world, discuss the expansion of Oogie Boogie Bash at Disneyland Resort, explore the legendary Pepper's Ghost illusion, and revisit the episodes that defined our Haunted Mansion discussions last year. Step into your Doom Buggy and join us on this journey… into regions beyond.

Maggie Gyllenhaal's THE BRIDE! died with a $7 mil opening. Is this a lock for the biggest bomb of 2026?? We break down why this tanked and what the fallout will be for Jessie Buckley, Warner Bros, and the world at large. Plus, will Clayton ever get his hands on a The Bride! souvenir popcorn bucket??? Meanwhile Pixar's HOPPERS opened #1 to $46 mil. Has Pixar returned to prominence, or is the brand still on the road to being this century's National Lampoon's? The Boys take their beaver shot in this Classic Ep. --- Remember to Rate (5 Stars), Review (Great show, blah, blah, blah) and Follow us on Apple Podcasts: https://podcasts.apple.com/us/podcast/b-o-boys-movie-box-office/id1489892648 E-mail us: theboboyspodcast@gmail.com Subscribe on Youtube: https://www.youtube.com/@theboboyspodcast Follow us on TikTok and Instagram: @TheBOBoysPod Subscribe on Substack: https://substack.com/@theboboys Our AWESOME artwork was provided by the talented Ellie Skrzat. Check out her work at https://ellieskrzat.com/ Thanks to WannaBO VP of Interns Christopher for running our social media! ---

On this episode, Matt, Eric and Andrew discuss the Paramount/WB merger, awards season fatigue and more, as well as review Pixar's HOPPERS and Michael Mann's HEAT.

The Bandwagon covers a whole slew of new trailers, including Born to Bowl, Scary Movie 6, The Boys Final Season, and our first look at Lanterns. The fallout from the Paramount/WB/Netflix saga continues, as Paramount announces post-merger plans while Netflix pivots towards AI. Pixar has announced sequels are in the works for The Incredibles and Monsters Inc., while numerous animated classics have migrated to Tubi and found a new home. All that plus the Sweet 16 of our Battle Royal Madness tournament has arrived. Who will survive and advance to the Elite 8? Tune in and find out.www.attitudeofaggression.com@WrestlngRealist@itsReyCash@PCTunney@itsmedpp@ViolentAesop@TheMindlessPod@therealcplatt@IWCWarChief@ChairshotMedia@BandwagonNerdsPROWRESTLINGTEES.COM/TheChairshot - Makes a GREAT GIFT!!!About Bandwagon NerdsJoin Patrick O'Dowd, David Ungar, PC Tunney, Rey Cash, and DPP as they keep everyone up on all things nerd and maybe add some new nerds along the way. It's the Bandwagon Nerds Podcast!About Chairshot Radio NetworkChairshot Radio NetworkLaunched in 2017, the Chairshot Radio Network presents you with the best in sports, entertainment, and sports entertainment. Wrestling and wrestling crossover podcasts + the most interesting content + the most engaging hosts = the most entertaining podcasts you'll find!MONDAY - Bandwagon Nerds (entertainment & popular culture)TUESDAY - 4 Corners Podcast (sports)WEDNESDAY - The Greg DeMarco Show (wrestling)THURSDAY - POD is WARFRIDAY - DWI Podcast (Drunk Wrestling Intellect)SATURDAY - The Mindless Wrestling PodcastSUNDAY - Keeping the news ridiculous... The Oddity / The Front and Center Sports PodcastCHAIRSHOT RADIO NETWORK PODCAST SPECIALSAttitude Of Aggression Podcast & The Big Five Project (chronologically exploring WWE's PPV/PLE history)http://TheChairshot.com PRESENTS...IMMEDIATE POST WWE PLE REACTIONS w/ DJ(Mindless), Tunney(DWI) & FriendsPatrick O'Dowd's 5X5Support this podcast at — https://redcircle.com/chairshot-radio-network/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Welcome back to "Disney, Eh?", the Disney travel podcast from a Canadian perspective. Join us - Brandon and Krysta - for a "Disney Eh Grab Bag" episode. It's our annual Disney Eh awards episode! It's our fifth annual Disney Eh Oscars, and Brandon is getting all judgemental as we award the prestigious Oscars categories across Disney properties. Twenty-five categories this year. What's the best underrated Disneyland Resort attraction? The best redemption arc for a Star Wars character? Best ending credits song from a Pixar movie? Which MCU character would be the best Disneyland tour guide? Which animated character would be the best podcast guest? Plus, as always, the "nerd stuff" we're currently into, and some of the Disney news catching our attention this week. Follow us on Facebook @disneyeh, on Instagram at @disneyeh.podcast, Youtube @Adventures, Eh? or contact us via email: mail.disneyeh@gmail.com or through our website: https://disneyeh.wixsite.com/podcastPlease follow, share, rate, and let us know if you disagree with any of our winners!Thanks to El Mule for our custom theme song! https://www.facebook.com/el.mule.music/

On our new, rebranded podcast episode, we chat about Pixar's newest film, Hoppers! We talk about some parallels between other films, our excitement for the upcoming Toy Story 5, and other upcoming Pixar films!  Instagram: https://www.instagram.com/saturdaymorningcereal_podcast/ Facebook: https://www.facebook.com/satmorningcerealpodcast/ X: https://x.com/SaturdayMCereal Website: https://saturdaymorningcerea.wixsite.com/my-site

By Matthew Nemeth Back with another Film review, this, for Pixar’s Hoppers Click here for the ad-free podcast Click here for a list of our iTunes feeds. Information matthew@entertainmenttalk.org Please rate and review us on iTunes @etalkuk Twitter Patreon matthew@entertainmenttalk.org Facebook Read More

By Matthew Nemeth Back with another Film review, this, for Pixar’s Hoppers Click here for the ad-free podcast Click here for a list of our iTunes feeds. Information matthew@entertainmenttalk.org Please rate and review us on iTunes @etalkuk Twitter Patreon matthew@entertainmenttalk.org Facebook Read More

Juanma González analiza los estrenos de cartelera como Hoppers, La novia, Cleaner, Línea de extinción, Máquina de guerra y más. ¡No te lo pierdas!

Brian From is joined by Plugged In’s Adam Holz to break down Pixar’s new film Hoppers, a quirky animated adventure with an environmental message, some surprising intensity, and a premise that may be harder to love than most Pixar favorites. They also dive into Scream 7, reflecting on the franchise’s staying power, the nostalgia factor that keeps audiences coming back, and what it says about Hollywood’s love of sequels. Along the way, they explore why some stories still connect decades later—and why studios keep reviving familiar names when audiences keep buying tickets.See omnystudio.com/listener for privacy information.

Esta semana Apple tuvo tres días completos de lanzamientos y el resultado es impresionante:

Pixar Boss Pete Docter just said the quiet part out loud. In an interview with the WSJ, not only did he say that the studio is going back to making movies for everyone, but said LGBTQ themes were cut from Elio because it's a movie, not a multi-million dollar therapy session. Yikes! Why does that phrase sound familiar...?Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

A young woman attempts to save a beloved glade from being paved over, by interacting with the wild animals there in a very unique way. Ashley & Matt review the new Pixar movie, Hoppers, in this episode.

Sedaka, who died last week at 86, wrote and recorded hits in the late ‘50s and early ‘60s – songs like “Calendar Girl” and “Breaking up is Hard to Do.” He was nine years old when he began studying piano at Juilliard. Sedaka told Terry Gross in 2007, “To the shock of my family, after studying at Juilliard I sold 40 million records in five years.” The British invasion derailed his career until years later when Elton John helped revive it, by signing Sedaka to his label. Rock critic Ken Tucker reviews the new album by The Paranoid Style, led by composer-singer Elizabeth Nelson. And Justin Chang reviews the new Pixar film, ‘Hoppers.'To manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Lunchbox shares his grievances from the cruise that include him being upset that he had to buy a listener a drink after a misunderstanding after he was handed a drink. We determine who was in the right or the wrong. After crowning a winner last week, we start a new season of Easy Trivia. Lunchbox is upset he doesn't get to participate and Abby is ready to be called back in. Did you know what Pixar movie is still the best-selling DVD of all time and will probably never lose that title? We talk about that and more in Fun Fact Friday and how cavities are actually contagious and the meaning of those black lines on the side of school buses!See omnystudio.com/listener for privacy information.

Culture Friday on the Supreme Court's parental rights ruling, a review of Pixar's Hoppers, and Word Play on a remarkably versatile word. Plus, the Friday morning newsSupport The World and Everything in It today at wng.org/donateAdditional support comes from Covenant College, where students are equipped with a Christ-centered education rooted in the Reformed tradition. Covenant.edu/worldThe Free Lutheran Bible College (FLBC), Plymouth, MN, prepares students to live out their calling through the study of God's Word in authentic community since 1964. At FLBC, biblical truth isn't an elective course—it's the foundation of our academic study. Through the study of God's Word in authentic, Christ-centered community, you'll form a biblical worldview that gives you clarity and confidence for whatever comes next—college, career, family, or ministry. Learn more at flbc.edu/worldBoyce College offers a Christ-centered education built on the truth of God's Word. Every student—no matter their major—takes 30 hours of Bible and theology, learning how to think biblically, live faithfully, and lead with conviction.Formed from the 160-year legacy of Southern Seminary, Boyce College prepares students for maximum faithfulness in the world, the workplace, the church, and the family.Learn more at boycecollege.com

This week's Empire Podcast sees Chris Hewitt sit down with The Bride! herself, Jessie Buckley, and her writer/director, Maggie Gyllenhaal, for a lovely chat about their wildly ambitious new movie, The Bride!, which daringly reframes the story of the Bride Of Frankenstein. [22:21 - 40:21 approx] Either side of that, Chris is joined in the podbooth by Helen O'Hara, James Dyer, and Alex Godfrey to cast their eye over the week's movie news, including the latest developments in the Warner Bros takeover, and news of a Ghosts movie; review The Bride!, Pixar's Hoppers, and Peaky Blinders: The Immortal Man; and discuss the movie mums they wish they'd been raised by. Oh, and Chris tries and fails to do a Birmingham accent. We can only apologise to the whole of the Midlands. Enjoy.

On this episode of Podcast Like It's the 2000s, Phil and Emily are joined by film critics Josh Spiegel and Scott Renshaw to discuss Pixar's emotional adventure about Carl Fredricksen, a widowed balloon salesman who lifts his house into the sky in search of Paradise Falls only to discover an unexpected stowaway along the way.The group breaks down the film's famous opening montage, its unusual elderly protagonist, and why Up represents a key moment in Pixar's late-2000s creative peak. They also explore the movie's legacy, its Best Picture nomination, and why its blend of grief, humor, and adventure still resonates.Follow the show and guests:Podcast Like It's…Instagram: https://www.instagram.com/podcastlikeits/Phil IscoveInstagram: https://www.instagram.com/pmiscove/Emily St. JamesInstagram: https://www.instagram.com/emilystjams/Josh Spiegel & Scott Renshaw Podcast:Mousterpiece Melodies https://mousterpiecemelodies.podbean.com/ Hosted on Acast. See acast.com/privacy for more information.

Matt and Eric chat about SCREAM 7's huge first weekend. the new LANTERNS trailer, some KNIGHT OF THE SEVEN KINGDOMS casting, THE BEAR coming to an end, and more...

https://daredaniel.com/wp-content/uploads/2026/03/SINGLETAKE_S01_E06_HoppersInTheBlinkOfAnEye.mp3 Single Take with Daniel Barnes Episode 6 Sporadically disgraced film critic Daniel Barnes returns with another episode of his smash hit Single Take podcast. Best known for recycling animal byproducts into protein meal, fats and biofuel ingredients, Daniel is famed for reducing waste and… Hang on a second. I’m describing a rendering plant. Daniel Barnes is just some guy who reviews movies. This week, Daniel takes a hop on the wild side to review Hoppers, the latest film from Pixar. Daniel also offers his Single Take on Rashida Jones and Kate McKinnon in Pixar veteran Andrew Stanton’s Hulu exclusive In the Blink of an Eye. Listen as Daniel talks about oily beavers, caveman acorns and his ideas for remodeling the Dorothy Chandler Pavilion. Hoppers (2026; Dir.: Daniel Chong) DANIEL SAYS: BUMP IT *Now playing everywhere. IMDB Synopsis: “A 19-year-old animal lover uses technology that places her consciousness into a robotic beaver to uncover mysteries within the animal world beyond her imagination.” In the Blink of an Eye (2026; Dir.: Andrew Stanton) DANIEL SAYS: DUMP IT *Now streaming on Hulu. IMDB Synopsis: “Three storylines, spanning thousands of years, intersect and reflect on hope, connection and the circle of life.” Read more of Daniel's reviews at Dare Daniel and Rotten Tomatoes, and listen to Daniel on the Dare Daniel & Canon Fodder podcasts. Listen and subscribe to the show on Apple Podcasts, Listen Notes, Spotify, Pandora, Pocket Casts and wherever fine podcasts are consumed. The post Single Take – “Hoppers” and “In the Blink of an Eye” appeared first on Dare Daniel Family of Podcasts.

Happy Hoppers Day! If you heard this review for our patreon early access, welcome back! If it's your first time, welcome! Where does Hoppers fall in your Pixar franchise ranking?

0:00 Intro 5:06 The Boys Final Season Trailer 11:49 Project Hail Mary Goes Practical 23:10 Paramount-WB Merger 31:40 Mandalorian and Grogu 38:31 Disney's New CEO 46:50 Comments 53:43 Protector Review 1:00:26 Hoppers Review 1:13:32 The Bride! Review 1:30:47 Director Paul Osborne 2:00:42 Youngblood Trailer Reaction 2:18:36 Starfleet Academy Episode 9 2:24:51 Final Comments 2:26:37 Outro Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Pixar’s Hoppers encourages viewers to be better stewards of the planet. But the messages (and the comedy) fall a little flat. Read the full review. If you've enjoyed listening to Plugged In Reviews, please give us your feedback.

On this episode of The Movie Podcast, Daniel and Shahbaz visit Pixar Animation Studios in Emeryville, California to meet the humans behind Disney and Pixar's HOPPERS, including Director Daniel Chong, Producer Nicole Grindle, Story Supervisor John Cody Kim, Story Artist Margaret Spencer, Production Designer Bryn Imagire, and Visual Effects Supervisor Beth Albright. Daniel and Shahbaz also reflect on their 2016 attempt to visit Pixar and what it was like returning to the studio nearly a decade later for this unforgettable experience. Later in the episode, they're joined by some Canadian hometown heroes working at Pixar, including John Cody Kim (Story Supervisor), Andreas Deutz (Animator), Scott Edelman (Simulation Artist), and Eddy Okbata (Animator), who share their journeys to the studio and what it's like bringing Pixar films to life. Hoppers follows animal lover Mabel (voiced by Piper Curda) who seizes the opportunity to test groundbreaking new technology that allows her to “hop” her consciousness into a lifelike robotic beaver—giving her the ability to communicate directly with animals. As she uncovers mysteries within the animal world beyond anything she could have imagined, Mabel befriends a charismatic beaver named King George (voiced by Bobby Moynihan). Together, they must rally the entire animal kingdom to confront a looming human threat: smooth-talking local mayor Jerry Generazzo (voiced by Jon Hamm). The all-star voice cast also includes Kathy Najimy, Dave Franco, and Meryl Streep. Hoppers releases exclusively in theatres on March 6, 2026. Watch and listen to The Movie Podcast now on all podcast platforms, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TheMoviePodcast.ca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. EXCLUSIVE NordVPN Deal ➼ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nordvpn.com/moviepod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Try it risk-free now with a 30-day money-back guarantee! ⁠⁠⁠Check out our new ⁠⁠⁠⁠The Movie Podcast Clips Channel!⁠⁠⁠⁠⁠ Contact: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@themoviepodcast.ca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FOLLOW US⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Daniel on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shahbaz on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Anthony on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Movie Podcast on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rotten Tomatoes Learn more about your ad choices. Visit megaphone.fm/adchoices

Endlich ist es passiert – Lenny und Marius haben A KNIGHT OF THE SEVEN KINGDOMS gesehen! In unserer neuen Podcastfolge sprechen die beiden mit Jonas über die HBO-Serie und wie sie sie fanden. Wie war es für Westeros-Neuling Lenny in die Welt von Eis und Feuer einzusteigen? Zum Start vom neuen Pixar-Film HOPPERS, haben Lenny, Marius und Jonas ihre Top 3 Lieblings-Pixarfilme rausgesucht und geranked. Welche Filme aus der Animationsschmiede haben sich einen Platz in der Top 3 ergattert? Und welche Überraschungen sind dabei? Obwohl die Awards-Season ihr Highlight mit den diesjährigen Ronnies findet, sind die anstehenden OSCARS auch erwähnenswert. Hier bekommt ihr eine kleine, übersichtliche Prognose, welche Filme und welche Schauspieler und Schauspielerinnen den Preis gewinnen könnten – und bei welchen wir es uns am meisten wünschen würden. Außerdem dürfen die Starts der Woche nicht fehlen. Mit THE BRIDE! startet eine erneute FRANKENSTEIN-Adaption in den Kinos und Jonas hat einen Geheimtipp aus Kenya mitgebracht. Freut euch auf eine neue Folge CINEMA TALKS BACK voller guter Filme und einer Prise Wahnsinn hier auf CINEMA STRIKES BACK! Viel Spaß. :)

Plugged In's Adam Holz gives a review for Pixar's release of "Hoppers" and talks about the thinking behind the creation of vertical dramas. Kim Dolan Leto, author of "Fit God's Way," shares why some of the battles that we think are physical, are actually spiritual and the need to remind ourselves of the Truth found in Ephesians 2:10. The Reconnect with Carmen and all Faith Radio podcasts are made possible by your support. Give now: Click here

HR1 - Falcons should have two different Georgia players they're targeting with 48th pick In hour one Mike Johnson, Ali Mac, and Beau Morgan quickly touch on some of the biggest headlines around the local and national sports scene, react to the news that the Atlanta Falcons have named Kevin Winston as their Vice President of player affairs, explain why they think guys like Kevin are essential to have to be a winning franchise, and react to ESPN, Disney, Pixar and the National Hockey League teaming up to bring fans Inside Out Classic, a real-time, animated NHL telecast featuring the Washington Capitals vs. New York Rangers on Sunday, April 5 at 7 p.m. Then, Mike, Ali, and Beau react to NFL Draft analyst for The Athletic Dane Brugler's latest two round NFL mock draft where he has the Atlanta Falcons drafting Georgia Bulldogs defensive tackle Christen Miller with the 48th pick, explain why they think Miller would be perfect for what the Falcons need at the interior of their defensive line, but also talk about how they're not sure if the Bulldogs' defensive tackle will be there for the Falcons to draft with their 48th overall pick. The Morning Shift crew also reacts to Atlanta Braves starting pitcher Spencer Strider making his second spring training start yesterday, talk about his velocity being up, explain why they think Braves fans don't need to overreact to Strider's spring training velocity, explain why they think Strider is changing the way he pitches on purpose to become a more efficient starting pitcher, and then close out hour one by diving into the life of Mike Johnson in Mike'd Up!

Here's Geeky Sparkles' Hoppers review. She's just seen Pixar's Hoppers and... she has thoughts. But are they good thoughts or bad thoughts? Then we talk about the box office for this movie. Will it outperform Elio or be DOA this weekend?Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

No deja de ser curioso que los dos estrenos comerciales más potentes de Hollywood esta nueva temporada sean de Warner -a la espera de su venta ahora Paramount-, los firmen mujeres y reinterpreten historias clásicas. La actriz Maggie Gyllenhaal ofrece una película punk y feminista sobre la novia de Frankenstein con Jessie Buckley, Christian Bale y nuestra Penélope Cruz. En este episodio la analizamos y, además, tenemos muchos estrenos calientes, como los moteros gais de 'Pillion', y otros debuts interesantes como 'La sombra de mi padre'. También está ya en cines la nueva apuesta de Pixar y el drama político 'El mago del Kremlin', con Jude Law como Vladimir Putin. En televisión, nueva ronda de estrenos para empezar el mes de marzo.

Enjoy this un-paywalled episode of The Pro Version! To hear and watch more episodes, go to Patreon.com/HollywoodHandbook The Boys invite writer JESSE ANDREWS (Me and Earl and the Dying Girl, Luca) to describe his new Pixar film, Hoppers.See omnystudio.com/listener for privacy information.

A writer, director and producer known for the Pixar films Lightyear and Onward as well as the movie A Bad Idea Gone Wrong and the viral short It's Not About the Nail.

In the 287th episode of The Main Street Electrical Podcast, Jenn & Dave are prepping for new promos and new festivals, while making cruise excursions (Jenn) and remembering a meal in Wonderland... A little news brings in new extra magic hours for deluxe guests in May... Zootopia 2 coming to streaming... new Pixar getting rave reviews... and a larger look at the Disney Adventure, the ship in the Disney fleet that will mostly be in the Asian market. Plus the list of Disney godparents for each of the ships in the Disney Fleet! Then, looking at the newest Disney promotion - Free Dining not just for the kids, but for everyone!  Finally, the human world is a mess, and life under the sea is better than anything dey got up dere... and because the world is so wacked out, we talk about some of our favorite comfort films in Disney lore... movies that we find stress free, easy to watch, and that make us happy - from Hercules to Sleeping Beauty to the Titans... and the attractions and Disney areas that make us happy as well... and you knew we'd say PeopleMover... 

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

John Bonnes has a Twins Spring Training update live from Fort Myers, the guys go through the best and worst Pixar movies, Hawk introduces everyone to a new reporter

John Bonnes has a Twins Spring Training update live from Fort Myers, the guys go through the best and worst Pixar movies, Hawk introduces everyone to a new reporterSee omnystudio.com/listener for privacy information.

Welcome back to The Kristian Harloff Show — your go-to source for the biggest breaking stories in movie news, DC, Marvel, Star Wars, and box office updates. Today's episode dives deep into major shakeups, franchise futures, and early review reactions that could shape the industry in 2026 and beyond. DC Studios In Turmoil? Could James Gunn Exit After WBD/Paramount Deal? Speculation is heating up that James Gunn could potentially leave DC Studios amid ongoing discussions surrounding a possible Warner Bros. Discovery and Paramount Global deal. What would this mean for the DCU slate, including Superman, The Brave and the Bold, and the long-term roadmap Gunn and Peter Safran have been building? Kristian breaks down the rumors, industry implications, and whether this is smoke or real fire. Star Wars: Starfighter – Ryan Gosling Explains Why He Joined Star Wars Ryan Gosling officially stepping into the galaxy far, far away? The Starfighter star reveals why he joined the iconic Star Wars franchise. Is this a one-off standalone, or something bigger for Lucasfilm's evolving slate? Kristian discusses what Gosling's involvement signals for the future of Star Wars films and how it fits into Disney's theatrical strategy. Pirates of the Caribbean – Is Johnny Depp Really Coming Back? A Pirates producer says Johnny Depp will return as Captain Jack Sparrow — if he has his way. But how realistic is that? With Disney navigating franchise reboots and legacy sequels, Kristian analyzes whether a Depp comeback is likely, what it would mean for the box office, and how Pirates could evolve moving forward. Hoppers Early Reviews – Pixar Back On Top? Early reviews for Pixar's Hoppers are overwhelmingly positive. Are we looking at another major win for Pixar Animation Studios? Kristian reviews the first reactions and discusses whether this could be Pixar's next critical and commercial breakout hit. If you're a fan of DC Studios news, Star Wars updates, Pirates of the Caribbean rumors, Pixar reviews, and weekly box office analysis, this is the show for you. Make sure to subscribe for daily movie news, trailer breakdowns, industry rumors, and deep-dive discussions. SPONSOR: RUGIET:  For a limited time only, head to https://www.Rugiet.com/KRISTIAN to get 15% off your order.

The ability of an organization to innovate over and over again, for the long term, depends on leadership structure, culture, and systems. That's according to Harvard Business School professor Linda Hill, who has spent years researching the true drivers of innovation, taking lessons from the world's most successful companies. She explains why today's leaders need to shift from the focus on decision-making and producing to creating the conditions for collaboration, experimentation, and smart decision-making across teams, silos, and wider ecosystems. She shares examples from Mastercard, Pixar, and more and outlines some newly defined ways of looking at leadership roles: as Architects, Bridgers, and Catalysts. Hill's new book is Genius at Scale: How Great Leaders Drive Innovation.