Podcasts about Flask

Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real apps, responsibly. In this anniversary roundtable with its creators and long-time stewards: Simon Willison, Adrian Holovaty, Will Vincent, Jeff Triplet, and Thibaud Colas, we trace the path from the Lawrence Journal-World to 1.0, DjangoCon, and the DSF; unpack how a BSD license and a culture of docs, tests, and mentorship grew a global community; and revisit lessons from deployments like Instagram. We talk modern Django too: ASGI and async, HTMX-friendly patterns, building APIs with DRF and Django Ninja, and how Django pairs with React and serverless without losing its batteries-included soul. You'll hear about Django Girls, Djangonauts, and the Django Fellowship that keep momentum going, plus where Django fits in today's AI stacks. Finally, we look ahead at the next decade of speed, security, and sustainability. Episode sponsors Talk Python Courses Python in Production Links from the show Guests Simon Willison: simonwillison.net Adrian Holovaty: holovaty.com Will Vincent: wsvincent.com Jeff Triplet: jefftriplett.com Thibaud Colas: thib.me Show Links Django's 20th Birthday Reflections (Simon Willison): simonwillison.net Happy 20th Birthday, Django! (Django Weblog): djangoproject.com Django 2024 Annual Impact Report: djangoproject.com Welcome Our New Fellow: Jacob Tyler Walls: djangoproject.com Soundslice Music Learning Platform: soundslice.com Djangonaut Space Mentorship for Django Contributors: djangonaut.space Wagtail CMS for Django: wagtail.org Django REST Framework: django-rest-framework.org Django Ninja API Framework for Django: django-ninja.dev Lawrence Journal-World: ljworld.com Watch this episode on YouTube: youtube.com Episode #518 deep-dive: talkpython.fm/518 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You'll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code. Episode sponsors Posit Talk Python Courses Links from the show Matt Makai: linkedin.com Plushcap Developer Content Analytics: plushcap.com DigitalOcean Gradient AI Platform: digitalocean.com DigitalOcean YouTube Channel: youtube.com Why Generative AI Coding Tools and Agents Do Not Work for Me: blog.miguelgrinberg.com AI Changes Everything: lucumr.pocoo.org Claude Code - 47 Pro Tips in 9 Minutes: youtube.com Cursor AI Code Editor: cursor.com JetBrains Junie: jetbrains.com Claude Code by Anthropic: anthropic.com Full Stack Python: fullstackpython.com Watch this episode on YouTube: youtube.com Episode #517 deep-dive: talkpython.fm/517 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Python's data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit that lets pandas, scikit-learn, Spark, Polars, and even NetworkX execute on GPUs. We trace the project's origin and why NVIDIA built it in the open, then dig into the pieces that matter in practice: cuDF for DataFrames, cuML for ML, cuGraph for graphs, cuXfilter for dashboards, and friends like cuSpatial and cuSignal. We talk real speedups, how the pandas accelerator works without a rewrite, and what becomes possible when jobs that used to take hours finish in minutes. You'll hear strategies for datasets bigger than GPU memory, scaling out with Dask or Ray, Spark acceleration, and the growing role of vector search with cuVS for AI workloads. If you know the CPU tools, this is your on-ramp to the same APIs at GPU speed. Episode sponsors Posit Talk Python Courses Links from the show RAPIDS: github.com/rapidsai Example notebooks showing drop-in accelerators: github.com Benjamin Zaitlen - LinkedIn: linkedin.com RAPIDS Deployment Guide (Stable): docs.rapids.ai RAPIDS cuDF API Docs (Stable): docs.rapids.ai Asianometry YouTube Video: youtube.com cuDF pandas Accelerator (Stable): docs.rapids.ai Watch this episode on YouTube: youtube.com Episode #516 deep-dive: talkpython.fm/516 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

What if your code was crash-proof? That's the value prop for a framework called Temporal. Temporal is a durable execution platform that enables developers to build scalable applications without sacrificing productivity or reliability. The Temporal server executes units of application logic called Workflows in a resilient manner that automatically handles intermittent failures, and retries failed operations. We have Mason Egger from Temporal on to dive into durable execution. Episode sponsors Posit PyBay Talk Python Courses Links from the show Just Enough Python for Data Scientists Course: talkpython.fm Temporal Durable Execution Platform: temporal.io Temporal Learn Portal: learn.temporal.io Temporal GitHub Repository: github.com Temporal Python SDK GitHub Repository: github.com What Is Durable Execution, Temporal Blog: temporal.io Mason on Bluesky Profile: bsky.app Mason on Mastodon Profile: fosstodon.org Mason on Twitter Profile: twitter.com Mason on LinkedIn Profile: linkedin.com X Post by @skirano: x.com Temporal Docker Compose GitHub Repository: github.com Building a distributed asyncio event loop (Chad Retz) - PyTexas 2025: youtube.com Watch this episode on YouTube: youtube.com Episode #515 deep-dive: talkpython.fm/515 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

In this podcast made of unfreezable sound molecules, Andy, Flask, Greg, John, and Vito make listenable noise about Blue Prince, Blood on the Clock Tower, King of the Hill, Abiotic Factor, Grounded 2, Fantastic Four: First Steps, Tony Hawk's Pro Skater 3+4. PaperKlay, Nintendo's mishandling of speedrunning, MasterCard's mishandling of NSFW games, Bungie's mishandling of being a company, the varied workshop skins of Castle Crashers' DLC, and more. 0:00 - Intro 1:29 - Vito (Roundtable) 1:53 - BC Pay 3:40 - Blue Prince 10:47 - We hung out 12:48 - Andy (Roundtable) 12:52 - Blood on the Clock Tower 40:20 - King of the Hill S14 48:58 - Unboxing the Cryptic Killer 51:16 - Greg (Roundtable) 51:28 - Abiotic Factor 54:46 - Grounded 2 1:07:13 - Dragon Ball: The Breakers 1:10:10 - BREAK Eating molecules 1:13:05 - Flask (Roundtable) 1:14:11 - Tower Dungeon 1:18:50 - Fantastic Four: First Steps 1:28:52 - Surfer trauma 1:30:33 - Tony Hawk's Pro Skater 3+4 1:36:20 - PaperKlay 1:38:58 - Steam Deck games 1:39:53 - God of Weapons 1:41:00 - Rack and Slay 1:42:46 - Hellbreach: Vegas 1:43:25 - Asterogues 1:45:37 - NEWS 1:45:46 - Japan's biggest speedrunning event excludes Nintendo titles after being told they needed permission 1:48:59 - Mastercard vs. Valve 1:50:40 - Battlefield 6 buzz 1:52:50 - Bungie may be losing independence after mass layoffs 1:55:31 - Sekiro anime? 1:59:06 - Castle Crashers: Painter Boss Paradise DLC 2:01:05 - Outro Find out more at https://broken-campfire.pinecast.co

In advance of all entertainment becoming short-form, listen to this long-form discussion from Andy, Flask, and Greg about Fallout 76, Hitman, Grounded, R.E.P.O., The Past Within, Rimworld - Odyssey, Taskmaster, Superman (2025), Lost in Random: The Eternal Die, THPS 3+4, Overwatch 2's story(?), Subnautica 2, and more. 0:00 - Intro 2:16 - Greg (Roundtable) 2:28 - Fallout 76 4:02 - Hitman: World of Assassination 9:32 - Red Dead Redemption 2 16:55 - Grounded 29:06 - Andy (Roundtable) 29:15 - Lies of P 29:44 - Sketchy's Contract 29:56 - R.E.P.O. 34:58 - Peak 35:49 - The Past Within 44:15 - Unboxing the Cryptic Killer 45:35 - Rimworld - Odyssey 52:31 - BREAK Attenuation correction 53:37 - Flask (Roundtable) 54:32 - Taskmaster series 19 1:02:52 - Superman 1:18:53 - Lost in Random: The Eternal Die 1:23:50 - Tony Hawk's Pro Skater 3 + 4 1:27:03 - NEWS 1:27:14 - Blizzard wants to get back to story content for Overwatch 2 1:32:30 - Credit card providers force Steam to crack down on incest games 1:35:38 - Subnautica 2 is coming in 2026 1:36:31 - Unknown Worlds claim Krafton forced the game to be delayed 1:37:38 - Krafton response 1:40:15 - Unknown Worlds co-founders file lawsuit 1:45:28 - Killing Floor 3 coming soon 1:48:40 - Outro Find out more at https://broken-campfire.pinecast.co

Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 2025. Those meetings are closed door to keep focused and productive. But we're lucky that Seth Michael Larson was in attendance and wrote up each topic presented and the reactions and feedback to each. We'll be exploring this year's Language Summit with Seth. It's quite insightful to where Python is going and the pressing matters. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Sentry AI Monitoring, Code TALKPYTHON Talk Python Courses Links from the show Seth on Mastodon: @sethmlarson@fosstodon.org Seth on Twitter: @sethmlarson Seth on Github: github.com Python Language Summit 2025: pyfound.blogspot.com WheelNext: wheelnext.dev Free-Threaded Wheels: hugovk.github.io Free-Threaded Python Compatibility Tracking: py-free-threading.github.io PEP 779: Criteria for supported status for free-threaded Python: discuss.python.org PyPI Data: py-code.org Senior Engineer tries Vibe Coding: youtube.com Watch this episode on YouTube: youtube.com Episode #514 deep-dive: talkpython.fm/514 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Tune in as actors Suresh Krishna, Saiju Kurup, and director Rahul Riji Nair join us on Club Studio to spill all about their latest film Flask. From behind-the-scenes fun to untold stories from the sets, this episode is packed with laughter, nostalgia, and plenty of film talk.#SaijuKurup #SureshKrishna #FlaskMovie #ClubFM

Beneath the fading firework's ringing in your ears, you can hear dully the cheering and grousing of Andy, Flask, John, and Vito as they talk about Peak, Still Wakes the Deep: Siren's Rest, FBC: Firebreak, Blue Prince, Grounded, Dreamsettler's cancellation, RE: Requiem's early concept, the Xbox mass layoffs, and more. 0:00 - Intro 2:34 - Flask (Roundtable) 2:44 - Elden Ring: Nightreign 2:26 - Peak 28:40 - Murderbot (Apple TV+) 29:57 - Steam Demo videos 30:50 - Still Wakes the Deep: Siren's Rest 36:57 - Andy (Roundtable) 37:06 - Lies of P 37:27 - Taskmaster 38:51 - Vito (Roundtable) 39:25 - Siege X 40:31 - Robocop: Rogue City 42:55 - FBC: Firebreak 1:04:12 - Blue Prince 1:14:12 - BREAK FBC: Firebreak is a ripoff?! 1:14:38 - John (Roundtable) 1:14:53 - John's first topic! 1:15:24 - Dune: Awakening 1:16:33 - Grounded 1:22:03 - NEWS 1:22:16 - Dreamsettler has been cancelled 1:26:13 - RE: Requiem early concept was online/open-world 1:29:13 - Xbox going through a series of layoffs 1:37:18 - Helldivers 2 is coming to Xbox 1:38:22 - Outro Find out more at https://broken-campfire.pinecast.co

Let the summer begin! Andy, Flask, Greg, and John dive into a pool of topics, such as Dune: Awakening, Peak, Skin Deep, Rainbow Six Siege, Fallout 76, FORTNITE, Blue Prince, to a T, Mythwrecked: Ambrosia Island, Bloober Team's Silent Hill 1 remake, Summer Games Fest, Xbox Games Showcase, and more! Find out more at https://broken-campfire.pinecast.co

Feather + Flask, the Baltimore-based four-piece blending folk, Americana, and soul, stopped by Sanity Lounge for an unforgettable live performance and conversation. Their harmonies are tight, their songwriting hits deep — and drummer Lisa brings it all home with a one-of-a-kind percussion kit you have to see (and hear) to believe.We talk band chemistry, creative process, local roots, and what it takes to hold an audience's heart — then they throw down a live set that proves exactly why they're a must-see band on the rise.

Though the night's rain may spell disaster for a traditional campfire, it could be that a broken one would reign over the- the night? Sort of lost the plot. Anyway… Andy, Flask, Greg, and Vito light into Elden Ring: Nightreign, Clair Obscur, Doom: The Dark Ages, The Casting of Frank Stone, Infection Free Zone, The Outlast Trials, Trivia Tricks, House of Danger, Apocalypse Hotel, Duck Detective, Kulebra and the Souls of Limbo, Blue Prince, the PlayStation State of Play, and more. 0:00 - Intro 1:40 - Game show season 2:51 - Elden Ring: Nightreign 32:02 - Vito (Roundtable) 32:10 - Clair Obscur: Expedition 33 36:45 - Other games on Game Pass 37:58 - Doom: The Dark Ages 48:09 - Greg (Roundtable) 48:57 - Labyrinth of the Demon King 49:25 - The Casting of Frank Stone 51:38 - Infection Free Zone 55:47 - The Elder Scrolls IV: Oblivion Remastered 56:00 - The Outlast Trials 1:00:15 - Dave the Diver Yakuza DLC follow-up 1:01:36 - BREAK Mean message for Vito 1:02:23 - Andy (Roundtable) 1:02:26 - Trivia Tricks 1:09:08 - House of Danger 1:17:19 - Flask (Roundtable) 1:17:24 - Poker Face season 2 1:18:18 - Apocalypse Hotel 1:22:13 - The Deadseat 1:24:28 - Poco 1:28:07 - Duck Detective: The Secret Salami 1:33:48 - Kulebra and the Souls of Limbo 1:38:31 - Blue Prince 1:42:26 - NEWS 1:42:49 - PlayStation State of Play - June 2025 1:43:13 - Marvel Tōkon: Fighting Souls 1:46:54 - Nioh 3 1:49:15 - Silent Hill f 1:50:36 - Bloodstained: The Scarlet Engagement 1:51:18 - Pragmata 1:52:51 - Metal Gear Solid Delta: Snake Eater 1:54:26 - Digimon Story Time Stranger 1:56:23 - Romeo is a Dead Man 1:58:06 - Sea of Remnants 1:59:44 - Tides of Tomorrow 2:00:51 - 007: First Light 2:08:00 - Outro Find out more at https://broken-campfire.pinecast.co

Canons of Dort Chapter 1:1-4 1. The disturbing situation 2. The distressing sign 3. The dire consequences

Podcast comes! Andy, Flask, John, and Vito thoroughly discuss Clair Obscur: Expedition 33, The Rehearsal, Helldivers 2: Heart of Democracy, Mission Impossible: The Final Reckoning, Andor series finale, The Eternaut, Post Trauma, KARMA: The Dark World, The Midnight Walk, Labyrinth of the Demon King, a potential new game from Mobius Digital, a potential new Cyberpunk game, Bungie badness in Marathon madness, and more! 0:00 - Intro 1:17 - Clair Obscur: Expedition 33 36:50-1:18:51 - Spoilers 1:19:04 - BREAK Praise be to Yevon 1:19:36 - Andy (Roundtable) 1:19:42 - The Rehearsal season 2 1:23:11 - John (Roundtable) 1:23:19 - Helldivers 2: Heart of Democracy 1:27:00 - Vito (Roundtable) 1:27:22 - Schedule I 1:28:03 - Flask (Roundtable) 1:28:20 - Mission Impossible: The Final Reckoning 1:30:00 - Thunderbolts 1:31:19 - Andor series finale 1:34:10 - The Eternaut 1:37:52 - Post Trauma 1:41:04 - KARMA: The Dark World 1:45:19 - The Midnight Walk 1:51:43 - Labyrinth of the Demon King 1:56:56 - NEWS 1:57:05 - New game coming from Mobius Digital 1:58:53 - Saber releases toolset for Space Marine II 2:00:05 - Cyberpunk 2077 sequel hinted to be "like Chicago gone wrong" 2:01:47 - Marathon and Bungie badness 2:06:27 - Outro Find out more at https://broken-campfire.pinecast.co

TanStack, a collection of popular open-source software libraries, is back in the news cycle this week with the announcement of TanStack DB. TanStack DB extends TanStack Query with collections, live queries, and optimistic UI mutations to keep UIs reactive, consistent, and lightning fast.VS Code marks its 100th release of v1 with updates like: enabling Next Edit Suggestions (NES) be default, adding custom instructions and reusable prompts for a chat agent inside a project's .github folder, and new tools at the AI agent's disposal for better results.There's a new component library available called Basecoat UI that claims to bring the magic of shadcn/ui with no React required. No matter if a website's built using HTML, Flask, Rails, or another JS framework, Basecoat uses HTML and Tailwind, and a hint of Alpine.js when needed, to provide accessible, modern components that are also compatible with shadcn/ui themes.News:Paige - Basecoat UI - framework agnostic component libraryJack - TanStack DBTJ - VS Code 1.100Bonus News:Apparently we should all just f'ing use HTMLParcel v2.15 jumps on the Rust bandwagonGoogle is testing a new “AI Mode”Google's logo changeMax once again becomes HBO MaxWhat Makes Us Happy this Week:Paige - House of Earth and Blood (#1 in Crescent City series) Jack -  Grand Sumo May 2025 TournamentTJ - Coast of MichiganThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Author : DuBose Heyward Narrator : Ben Phillips Host : Alex Hofelich Audio Producer : Chelsea Davis “The Half-Pint Flask” was first published in The Bookman, May 1927 Racism https://www.nationalgeographic.com/travel/article/what-is-gullah-geechee-food-and-how-do-you-make-it https://discoversouthcarolina.com/articles/theres-history-in-every-bite-of-gullah-cuisine https://www.dailykos.com/stories/2020/8/1/1960612/-The-Gullah-Geechee-have-owned-land-since-the-1800s-One-terrible-law-allows-their-land-to-be-stolen https://www.theguardian.com/us-news/2023/sep/12/slave-descendants-preservation-land-georgia-gullah-geechee https://www.theguardian.com/news/2025/apr/22/georgia-state-university-grant-gullah-geechee-heritage https://marshhenmill.com/ The Half-Pint Flask By DuBose Heyward I picked up the book and regarded it with interest. Even its format suggested […]

Ask you smart speaker to "Play One Oh Three One Austin"

Shadow dropping right alongside Oblivion to try and eat Clair Obscur's lunch, this episode features Andy, Flask, Greg, John, and Vito talking about Andor season 2, Lazarus, Croc: Legend of the Gobbos, Dream BBQ, Lords of the Fallen, CHESS, TES IV: Oblivion Remaster, Clair Obscur: Expedition 33, Sinners, Jimbo's Game in Dave the Diver, Switch 2 preorders, Tabletop companies suing the president, Tamriel Rebuilt, and more. 0:00 - Intro 3:11 - Flask (Roundtable) 3:35 - Mediavolo 5:37 - Andor S02 10:30 - Lazarus 15:13 - Croc: Legend of the Gobbos Remastered 24:01 - Dream BBQ 28:34 - Andy (Roundtable) 28:35 - Kingdom Come II: Deliverance 32:26 - Lords of the Fallen 35:25 - Chess 41:17 - Vito (Roundtable) 42:07 - John (Roundtable) 42:25 - The Elder Scrolls IV: Oblivion Remaster 48:36 - Clair Obscur: Expedition 33 1:00:19 - Sinners 1:05:35 - BREAK The Witness 1:08:29 - Greg 9Roundtable) 1:08:41 - Dave the Diver Yakuza DLC 1:10:00 - Jimbo's Game 1:13:03 - Has Vito been watching TLoU S02? 1:13:55 - NEWS 1:14:01 - Switch 2 preorders are live and chaos 1:14:55 - Tabletop companies suing the president 1:16:43 - Lords of the Fallen has yet to break even 1:17:20 - Bethesda gifted Skyblivion team copies of Remaster 1:18:25 - Tamriel Rebuilt next major expansion 1:21:01 - Guild Wars sets new highest player count for anniversary 1:26:12 - Outro Find out more at https://broken-campfire.pinecast.co

Having finally been reduced to the essential, efficient pillars of its three funniest and most charming members, New Broken Campfire's Flask, Greg, and John lightheartedly discuss South of Midnight, The Bondsman, Novocaine, Captain America: Brave New World, Forever Skies, Dave the Diver, Schedule 1, The Last of Us (the show), Elder Scrolls: Oblivion's impending remake leaks, Steel Ball Run, Star Wars: Zero Company, CYBER RATS, and more! 0:00 - Intro 1:26 - Flask (Roundtable) 1:40 - South of Midnight 9:54 - The Bondsman 14:07 - Novocaine 19:05 - Captain America: Brave New World 27:20 - John (Roundtable) 27:40 - Forever Skies 33:08 - Greg (Roundtable) 33:17 - The Last of Us Part II Remastered 33:33 - Dave the Diver 37:40 - No More Room in Hell 2 39:11 - Schedule I 45:37 - The Last of Us season 2 46:26-49:26 - Spoilers 49:27 - NEWS 49:43 - Death Stranding 2's skippable, readable boss fights 51:22 - Elder Scrolls IV: Oblivion remake leaked 56:26 - Skyblivion still on track for 2025 58:50  - Steel Ball Run anime coming 2026 1:00:54 - Star Wars game called Zero Company 1:05:03 - Erenshor 1:08:23 - Cyber Rats 1:09:50 - Outro Find out more at https://broken-campfire.pinecast.co

Director R.W. Goodwin

Do you love Jim Carrey's timeless slapstick comedy stylings? Then this episode might be for you! Andy, Flask, Greg, John, and Vito clown around about Jim Carrey, Lorelei and the Laser Eyes, Split Fiction, Psycho Patrol R, WorldBox - God Simulator, The Last of Us Part II Remastered, Cyberpunk 2077: Phantom Liberty, South of Midnight, Neuromancer, The Electric State, Wanderstop, The Haunting of Joni Evers, the Nintendo Switch 2 direct, the Triple-I Initiative, and more! 0:00 - Intro 0:59 - Vito (Roundtable) 1:22 - Ace Ventura 6:55 - Lorelei and the Laser Eyes 14:03 - Andy (Roundtable) 14:56 - Jim Carrey movies 20:38 - Split Fiction 23:22 - Psycho Patrol R 27:13 - One Piece 35:17 - Greg (Roundtable) 35:33 - WorldBox - God Simulator 39:17 - The Last of Us Part II Remastered 47:47 - John (Roundtable) 48:02 - Cyberpunk 2077: Phantom Liberty 51:40-53:53 - Spoilers 54:25 - WH40K: Darktide 59:37 - South of Midnight 1:12:03 - BREAK Chill out & Adventure Time in Fortnite 1:15:32 - Flask (Roundtable) 1:15:38 - Jake the Dog in Jake the Car 1:16:23 - Neuromancer 1:21:06 - The King Tide 1:22:58 - The Electric State 1:24:54 - Black Bag 1:27:59 - Atomfall 1:29:14 - Wanderstop 1:34:57 - The Haunting of Joni Evers 1:37:31 - NEWS 1:37:47 - Nintendo Switch 2 Direct 1:38:28 - Silksong 1:40:09 - Donkey Kong: Bananza 1:40:52 - Pokémon Legends: Z-A 1:41:05 - Mario Kart World 1:43:14 - The Duskbloods 1:45:00 - Metroid Prime 4: Beyond 1:45:15 - Kriby Air Riders & Gamecube games 1:45:33 - Drag x Drive 1:45:55 - Camera 1:46:01 - Game-Key Cards 1:46:54 - Welcome Tour 1:47:04 - Kirby & the Forgotten Land DLC 1:47:34 - Yakuza 0 director's cut 1:48:29 - Triple-A launch titles 1:49:48 - Triple-i Initiative Indie Showcase 1:50:32 - Deep Rock Galactic: Rogue Core 1:56:05 - Frostrail 1:57:26 - Outbound 1:59:04 - Escape Simulator 2 2:00:14 - Duskfade 2:00:32 - Ikuma: The Frozen Compass 2:00:50 - Into the Fire 2:01:19 - Clover Pit 2:02:50 - Opus: Prism Peak 2:03:35 - No, I'm Not a Human 2:04:36 - Timberborn 2:04:55 - The Eternal Life of Goldman 2:05:47 - Neverway 2:07:21 - Speedrunners 2 2:08:06 - Vampire Survivors 2:08:38 - Balatro 2:11:09 - Outro Find out more at https://broken-campfire.pinecast.co

Lucy, Theo, Andrew, and Ben bring you: Lying about your degree in chaos mathematics, a mayor and restaurateur in crisis, an update on Dave Hughes, and the Clipping Report. *** Outro: Mesh Mask - True Widow *** Support our show and get exclusive bonus episodes by subscribing on Patreon: www.patreon.com/BoontaVista *** Email the show at mailbag@boontavista.com! Call in and leave us a question or a message on 1800-317-515 to be answered on the show! *** Twitter: twitter.com/boontavista Website: boontavista.com Twitch: twitch.tv/boontavista

The story goes that Little Jack Horner put his thumb in a pie and pulled out a plum. Similarly, our own Andy, Flask, Greg, John, and Vito put their thumbs down and plumb an episode of ARK: Survival Ascended, WH40K: Darktide, ANEURISM IV, The Roottrees Are Dead, Psycho Patrol R, Adventure Time, George A. Romero's Resident Evil, some orange goo, Split Fiction, Invincible S03, Game Informer's resurrection, the latest Nintendo Direct, and more. 0:00 - Intro 1:31 - Greg (Roundtable) 1:50 - ARK: Survival Ascended 8:03 - Battlefield 1 12:01 - John (Roundtable) 12:07 - Cyberpunk 2077 15:18 - WH40K: Darktide 20:31 - Andy (Roundtable) 20:35 - ANEURISM IV 29:22 - Kingdom Come: Deliverance II 32:03 - The Roottrees Are Dead 38:30 - Psycho Patrol R 45:36 - The goo-filled stress ball pops 47:15 - Flask (Roundtable) 47:46 - Adventure Time 53:05 - George A. Romero's Resident Evil 57:36 - Phil Tippett: Mad Dreams and Monsters 1:00:21 - The Roundup series 1:06:00 - That's a lot of orange goo 1:07:40 - BREAK Do a little dance, and make the good dance 1:09:16 - Vito (Roundtable) 1:09:37 - The Finals 1:10:37 - Split Fiction 1:13:12 - Kingdom Come: Deliverance II 1:13:16 - Invincible S03 1:13:56-1:18:23 - Spoilers 1:19:16 - Lorelei and the Laser Eyes 1:28:14 - NEWS 1:28:26 - Game Informer is back 1:30:17 - Bam Margera will be in THPS 3+4 1:32:32 - Nintendo Direct 3/27/25 1:45:33 - Outro Find out more at https://broken-campfire.pinecast.co

Hook & Flask Still Works in Carlisle, PA is closing. Whether you've never been there, or you're a regular attendee of their various nights of musical entertainment, in this episode I try to explain why Hook & Flask was such an anomaly. It was a white buffalo, or a red wolf. It was the kind of place where you felt like family from the second you stepped through the doors. For many musicians, myself included, it was home. It was the date on the calendar that you looked forward to most. It was the show that would make your heart beat a little faster because you knew it was going to be incredible. Every. Single. Time. It was a place for us to commune with each other, a place for good times and great friends, a place to escape the daunting world outside its roller door. After I make my final plea for your attendance at my upcoming Hook & Flask show, I dive into some listener submitted topics and questions to round out the episode. Thank you for being here, and I hope to see you at Hook & Flask on 3/22 7-10pm.

I read from flask to flat.     The word of the episode is "flask".     Use my special link https://zen.ai/thedictionary to save 30% off your first month of any Zencastr paid plan.    Create your podcast today! #madeonzencastr     Theme music from Jonah Kraut https://jonahkraut.bandcamp.com/     Merchandising! https://www.teepublic.com/user/spejampar     "The Dictionary - Letter A" on YouTube   "The Dictionary - Letter B" on YouTube   "The Dictionary - Letter C" on YouTube   "The Dictionary - Letter D" on YouTube   "The Dictionary - Letter E" on YouTube   "The Dictionary - Letter F" on YouTube     Featured in a Top 10 Dictionary Podcasts list! https://blog.feedspot.com/dictionary_podcasts/     Backwards Talking on YouTube: https://www.youtube.com/playlist?list=PLmIujMwEDbgZUexyR90jaTEEVmAYcCzuq     https://linktr.ee/spejampar dictionarypod@gmail.com https://www.facebook.com/thedictionarypod/ https://www.threads.net/@dictionarypod https://twitter.com/dictionarypod https://www.instagram.com/dictionarypod/ https://www.patreon.com/spejampar https://www.tiktok.com/@spejampar 917-727-5757

The presumed worst-reviewed podcast about video games and other media with Campfire in the title just released another episode of Andy, Flask, Greg, and John gabbing about Invincible, Presence, Mickey 17, Split Fiction, Secret Agent Wizard Boy, Monster Hunter Wilds, ANEURISM IV, Robocop: Rogue City, Daredevil: Born Again, THPS 3+4, Silent Hill f, Teardown multiplayer, and more. 0:00 - Intro 0:58 - Flask (Roundtable) 1:24 - Invincible S03 9:52 - Presence 12:26 - Mickey 17 16:04 - Wanderstop 17:41 - Andy (Roundtable) 17:43 - Split Fiction 35:34-40:35 - Spoilers 41:35 - Secret Agent Wizard Boy 44:27 - Headliners 46:24 - Greg (Roundtable) 46:37 - Grand Theft Auto V 47:10 - Monster Hunter Wilds 49:36 - ANEURISM IV 53:38 - Kingdom Come: Deliverance 55:32 - BREAK You and me go a long way, Back 56:38 - John (Roundtable) 58:27 - Robocop: Rogue City 1:03:16 - Daredevil: Born Again 1:09:22 - NEWS 1:09:38 - Split Fiction hits 2 million sales in 1 week 1:11:24 - THPS 3+4 Remake 1:15:52 - Space Marine 3 in development 1:17:07 - Silent Hill f new trailer 1:19:54 - Grand Theft Auto V Enhanced is now worst-reviewed game on Steam 1:21:48 - Teardown multiplayer update 1:24:23 - Tokyo Ghoul's Ken Kaneki in Dead by Daylight 1:27:48 - Outro Find out more at https://broken-campfire.pinecast.co

Death by Boomer with Jeff Styles - every Wednesday! The story of the hidden flask! Let's face it - the boomers are the 2nd greatest generation to ever walk planet earth! From our music to our toys (we survived lawn darts) - we made the world better! Yes, better even for you gen x'ers - gen y's and millennials - we're just better!! AND....worse - we also used up all the resources - became a little spoiled and maybe we have clung to power a little too long. Misunderstood - that is what we are! These short episodes will hopefully bridge the gap with the x'ers, y'ers (if that's even a word) and millennials - Death by Boomer with Jeff Styles on DTB - powered by Guardian Investment Advisors! Thanks to our sponsor: Guardian Investment Advisors: https://giaplantoday.com/ Please consider leaving us a review on Apple and giving us a share to your friends! This podcast is powered by ZenCast.fm

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In this, the first orb-based podcast focusing exclusively on orb and ball-type video games, Andy, Flask, Greg, John, and Vito circle around topics such as Kingdom Come II, Invincible, The Gorge, The Roottrees Are Dead, Mika and the Witch's Mountain, Turok, Dark Souls 3, Like a Dragon: Pirate Yakuza in Hawaii, SCP: Secret Laboratory, the latest PlayStation State of Play, and more. 0:00 - Intro 1:42 - Andy & Vito (Roundtable) 1:56 - Kingdom Come II: Deliverance 21:47 - One Piece update 24:15 - Flask (Roundtable) 24:36 - Sorceress 26:00 - Invincible season 3 30:10 - The Gorge 33:54 - The Roottrees Are Dead 40:29 - Mika and the Witch's Mountain 42:51 - Turok: Dinosaur Hunter 46:50 - Andy's secret roundtable topic 47:07 - Dark Souls 3 Seamless Co-op 50:19 - Greg & John (Roundtable) 50:37 - Like a Dragon: Pirate Yakuza in Hawaii 59:33 - SCP: Secret Laboratory 1:08:44 - BREAK 1:08:55-1:12:21 - Invincible spoilers 1:19:19 - NEWS 1:19:30 - PlayStation State of Play February 2025 1:20:19 - Monster Hunter: Wilds 1:21:13 - Shinobi: Art of Vengeance 1:21:58 - Sonic Racing: CrossWorlds 1:23:08 - Digimon Story: Time Stranger 1:23:25 - Lost Soul Aside 1:24:16 - Dave the Diver Ichiban's Holiday DLC 1:24:47 - WWE 2K25 1:25:52 - Split Fiction 1:27:10 - Directive 8020 1:30:33 - The Midnight Walk 1:31:41 - Darwin's Paradox 1:32:02 - Onimusha 1:32:55 - Lies of P: Overture 1:35:37 - Days Gone Remastered 1:37:42 - Blue Prince 1:39:28 - Abiotic Factor 1:40:21 - Tides of Annihilation 1:40:44 - Metal Eden 1:41:32 - Mindseye 1:41:42 - Saros 1:43:58 - Outro Find out more at https://broken-campfire.pinecast.co

The Flask at Hand is back and kicking this episode off with a tasting of Auchentoshan Three Wood, a Lowland single malt aged in bourbon, Oloroso, and Pedro Ximénez casks. We break down its soft, marshmallowy mouth feel and dark cherry flavors pondering just how much whiskey is too much before discussing bizarre science. From there, we dive into the fascinating world of dolphins and how unihemispheric sleep is necessary for their survival. Then, we take an unexpected turn into the surprising uses of poop as medicine (some not AS useful as others). We then delve into some early hypnosis tales that lead to experiments suggesting that plants might "respond" to stressors under polygraph testing. Can plants feel our thoughts? A dram in hand, a mind full of weird facts—just another night with The Flask at Hand. Thanks for listening! The Whiskey: https://www.auchentoshan.com/whiskies Sources of our info:  https://us.whales.org/whales-dolphins/how-do-dolphins-sleep/#:~:text=This%20type%20of%20sleep%20is,need%20without%20ever%20losing%20consciousness.

Разбор резюме в прямом эфире. Разбираем CV программистов, которые хотят работать на американские компании. Frontend Software Engineer, Backend Software Engineer, Full Stack Engineer, Mobile Software Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Machine Learning Engineer, Software Architect, Java Developer, Android, iOS Developer, Python, Django, Flask, JavaScript, React, .NET Developer, C# Engineer и так далее.Присылайте свое резюме для разбора в прямом эфире в телеграм канал https://t.me/prodcastUSA.Маша (Мария) Подоляк (Marsha Podolyak)Автор Телеграм канала "

Andrew just made a life changing sandwich and is finally using Cursor (and it's living up to the hype). Meanwhile Sean has been working on cutting SaaS costs for Miscreants and gets nostalgic about Flask (the Python framework). Links:Andrew's Twitter: @AndrewAskinsAndrew's website: https://www.andrewaskins.com/MetaMonster: https://metamonster.ai/Sean's Twitter: @seanqsunMiscreants: http://miscreants.com/Sean's website: https://seanqsun.com/Stacked cookbook: https://www.amazon.com/Stacked-Perfect-Sandwich-Owen-Han/dp/0063330652For more information about the podcast, check out https://www.smalleffortspod.com/.Transcript:00:01.41SeanOh, I'm like that for me. Oh, there it is. Okay.00:03.89AndrewHey, there we are.00:03.96SeanHow you doing?00:05.100AndrewI'm good.00:06.84SeanGood to see.00:06.90AndrewDude, I just made the best fucking sandwich.00:09.78SeanOkay. about00:12.87Andrewuh so we we just bought a cookbook this guy he's like a sandwich influencer i don't know he makes he makes youtube videos and like clips something Han i think and his whole thing is like sandwiches like he he's made like 300 sandwiches or something so he finally came out with a cookbook i love a good sandwich bought the cookbook First recipe, pretty fucking good.00:39.11AndrewIt was like a so homemade pesto on sourdough with like a chili crisp mayo and turkey parmesan crisps where you like fry parmesan until it becomes like a crunchy wheel of cheese, red onion, banana pepper.00:51.55SeanOkay.01:00.70AndrewReally, really good. Like maybe the best sandwich I've had in the last at least six months.01:10.24Seanokay I've never heard of this guy in my life, but yeah, yeah, I thought of him.01:13.81AndrewDid you find him? What's his what's his name?01:16.50SeanOwen Han. Owen hahn on Han, the sandwich king.01:17.52AndrewOh, Owen Han.01:22.24SeanInteresting.01:23.23AndrewWhat a great niche, right?01:23.43SeanInteresting.01:25.22AndrewLike I want to be the sandwich king.01:25.77SeanYeah.01:27.09AndrewLike that's such a fun place to live in and play in.01:29.79SeanYeah, yeah, yeah. You just gotta be like a chiseled Asian guy.01:33.15AndrewYeah, I mean, he is he is jacked and very attractive.01:33.90SeanGreat hair.01:36.98SeanYeah.01:38.15AndrewBut yeah, I mean, he just makes videos of himself making sandwiches and eating them, which is like. I'm sure it has its own ups and downs and pressure and whatnot, but as content creation niches go, it seems like a pretty decent one.01:55.09SeanI don't know. I feel like you might run out of sandwiches. I mean, I guess not, but...02:01.08SeanI don't know. I mean... What am I to say? I don't know shit about content creation.02:08.27AndrewYeah, what do you do when when making sandwiches is no longer fulfilling for you?02:09.84SeanIt just...02:11.79AndrewYou've got to got elevate your game somehow.02:14.06SeanYeah. It's only filling, not fulfilling. I don't know. Switch the wraps. There we go.02:21.23AndrewWhat's going on with to you?02:21.23Seanyeah take over another um um well speaking of food i've gotten really into liquid death i've probably drank at least 50 worth of liquid death in like the past week yeah multiple in no no the flavored ones the flavored yeah there's like tea there's like some that have tea but they're like low sugar so um02:33.05AndrewGod damn. Yeah. It's just, you know, you can get that stuff out of the tap in your kitchen, right? Oh, okay. Okay. Okay. Uh02:47.01SeanI got like a tall boy here that's like green tea. made like a so flavored soda sparkling water, which is like two grams of sugar. They're not very good to be honest with you. The other ones are better.02:54.95AndrewYeah.02:55.69SeanThere's like a lime seltzer one. That's really good.02:58.05AndrewUnfortunately, sugar is like part of what makes things taste good. So when you do the low sugar stuff, it just doesn't taste as good usually.03:04.24SeanOh, I think it doesn't taste good because, I think it actually, they lie about it or so they're not, they're not, they don't lie about it. They're, they're. being intellectually dishonest about it.03:15.29SeanThey say two grams of sugar and then a fuck ton of Stevia.03:17.90Andrewyeah Yeah, yeah, yeah, yeah, yeah.03:18.42Seanbut oh03:20.44AndrewI noticed that I've been drinking some of the, the fair life protein shakes.03:21.68Seanyeah03:25.61AndrewAnd I was at first, I was like, holy fuck, how do they get 42 grams of protein into this thing and make it not taste like butt?03:31.39SeanRight.03:33.99SeanRight.03:34.41Andrewand then afterwards I was like, I know that aftertaste.03:38.16SeanI see.03:38.31AndrewSo they're like, they're yeah, they're doing the same thing.03:39.74SeanMicroplastics. Nice.03:41.03AndrewOh, yeah, yeah, yeah. Also, it's like number one microplastic thing or whatever.03:42.49SeanYeah. Yeah.03:45.59AndrewIt has more microplastics ...

Want the latest sketchy, fly-on-the-wall headlines? Then try half-listening to Andy, Flask, Greg, John, and Vito breaking FlyKnight, Headlines, Sketchy's Contract, Arcane, Prince of Persia: The Lost Crown, Star Wars: Outlaws, Final Fantasy VII: Rebirth, Kingdom Comes: Deliverance II, Dino Crisis 1 & 2 on GOG, Steam's EA warnings, Bloodborne's frames per second being DMCA'd, and more. 0:00 - Intro 2:22 - FlyKnight 8:29 - Headliners 21:45 - Sketchy's Contract 32:27 - Flask (Roundtable) 33:01 - Arcane season 2 35:58 - Twilight of the Warriors: Walled In 40:11 - Mickey7 50:00 - Ubisoft 52:20 - Prince of Persia: The Lost Crown 55:40 - Star Wars: Outlaws 1:16:06 - BREAK 1:16:10 - ONE PIECE (Fishman Island/Punk Hazard) 1:19:55 - Greg (Roundtable) 1:19:59 - Final Fantasy VII: Rebirth 1:31:21 - Vito (Roundtable) 1:31:23 - Kingdom Come: Deliverance II 1:42:36 - NEWS 1:42:50 - Resident Evil movie reboot 1:46:22 - Dino Crisis 1 & 2 on GOG 1:39:13 - Astartes 2 coming 2026 1:51:54 - Steam now warns about Early Access games without recent updates 1:53:30 - Bloodborne PC 60FPS mod has been DMCA'd 1:57:28 - Outro Find out more at https://broken-campfire.pinecast.co

Welcome to The Flask at Hand, the only show where we go deep—both into the ocean and into our whisky glasses (sometimes deeper than intended). Tonight, we raise a glass of Compass Box Oak Cross, a whisky so good they had to discontinue it—probably to keep us from getting too powerful. While we sip, we'll be diving into some deep-sea madness: a secret mission to raise a Russian submarine (because everyone loves a good Cold War heist), the eerie glow of bioluminescent creatures (nature's own rave party), and the mind-blowing ways marine medicine is saving lives—possibly including yours after this pour. And, of course, we'll stir up some controversy with deep-sea mining, where humans do what we do best: argue about whether we're ruining the planet or not. So grab a drink, hold your breath, and join us as we explore the ocean's strangest secrets—preferably before the whisky kicks in.

Title:  A Broken Flask Moment – Jer. 19. | KIB468 Kingdom Intelligence Briefing   Description: Welcome to episode 468 of the Kingdom Intelligence Briefing podcast with Dr. Michael Lake and Mary Lou Lake. In this thought-provoking episode, we delve into spiritual warfare, biblical truths, and the urgency for believers to break free from Babylonian systems. This episode touches on themes of repentance, restoration, and God's divine judgment against evil. Topics Covered: Upcoming Conferences: Updates on future ministry plans, simplified schedules, and a renewed focus on impactful teaching and personal ministry. Biblical Insights from Jeremiah: Jeremiah 19's lessons on judgment and brokenness. How sin and rebellion block blessings and lead to desolation. Ancient Atrocities: A historical exploration of cannibalism, pagan practices, and their spiritual implications, tracing back to Genesis 6 and the Nephilim. Modern Parallels: Connecting ancient Babylonian practices to current societal issues, such as child trafficking, occult influences, and food contamination. Breaking Spiritual Curses: Powerful prayers for deliverance, restoration, and breaking generational curses related to unintentional consumption of spiritually tainted elements. Hope and Restoration: A call for believers to return to God's ways, embrace sanctification, and prepare for divine assignments in the end times. Key Takeaways: Sin separates us from God's blessings, but repentance leads to restoration. Understanding ancient practices helps us discern modern spiritual battles. God is equipping His remnant with wisdom and strength for the days ahead.

Looking for a flask that's easy to clean, discreet, and can even pass through metal detectors? In this episode, Peter Von Panda reviews the Houdini Flask by Rabbit—a plastic, see-through flask designed for convenience and portability. With its durable build, tethered cap, and unique design, Peter explores how this modern take on the classic flask holds up for both your favorite spirits and everyday drinks. Tune in to see if this innovative flask could be the perfect companion for your next outing. ▶ Get this product here: https://geni.us/xTbQyNl ---------- LET'S TALK ABOUT LIVING BETTER: ▶ Podcast: https://geni.us/FtGAT4 ▶ My Amazon Store: https://www.amazon.com/shop/petervonp... ---------- IF YOU'D LIKE TO SHOW SOME LOVE: ▶ Buy My Book: https://geni.us/qwbZAE ▶ Become A Channel Member: https://geni.us/AA3Jk ▶ Patreon:   / petervonpanda   ▶ Merch: https://petervonpanda.storenvy.com/ ▶ Free Panda Group: https://panda-research-institute.mn.co FOLLOW MY OTHER SOCIAL MEDIA PLATFORMS: ▶ Instagram:   / petervonpanda   ▶ Facebook:   / petervonpanda   ----------

You know who's in their own kind of pop culture jeopardy? No, not Colin Jost! Andy, Flask, John, and Vito can't stop talking about Is This Game Trying to Kill Me?, Fargo, Idiocracy, Max Payne, Bloodborne, Special Guest Harrison Ford, GTA Online, Alienoid, Detective Grimoire, Burnout 3: Takedown, Yakuza, Fortune's Run's imprisonment, Nintendo Switch 2's 'snap', Marvel Rival's heroic promise, the Xbox Developer Direct, and more! 0:00 - Intro 1:52 - Vito (Roundtable) 2:03 - Is This Game Trying to Kill Me? 4:25 - Fargo (TV) 10:29 - Pop Culture Jeopardy 13:17 - Fargo (TV) (cont.) 13:30-17:06 - Spoilers 19:36 - Andy (Roundtable) 19:46 - A Man on the Inside 20:27 - The Taking of Pelham One Two Three 22:55 - Children of Men 25:25 - The Adventures of Pluto Nash 27:09 - Max Payne (2008) 30:51 - Bloodborne 38:29 - One Piece 38:53 - John (Roundtable) 38:57 - Indiana Jones and the Great Circle 43:37 - Special Guest Harrison Ford 45:02 - GTA Online 57:16 - BREAK BC Rap & Maximum Payne 1:03:23 - Flask (Roundtable) 1:03:35 - Creature Commandos 1:07:20 - Alienoid/Alienoid: Return to the Future 1:10:39 - Detective Grimoire 1:15:52 - Lorelei and the Laser Eyes/Tormenture 1:18:04 - Steam Deck 1:21:09 - Pilfer: Story of Light 1:24:08 - Burnout 3: Takedown 1:24:42 - Yakuza 1:31:44 - Burnout 3: Takedown (cont.) 1:33:39 - NEWS 1:34:00 - Fortune's Run on indefinite hold because dev is going to prison 1:36:34 - Nintendo Switch 2 1:39:11 - Marvel Rivals devs promise new heroes every month and a half 1:43:57 - Liberty City Preservation Project shut down 1:48:27 - Xbox Developer Direct 1:48:58 - Ninja Gaiden 4 1:52:24 - South of Midnight 1:53:25 - Clair Obscur: Expedition 33 1:54:39 - Doom: The Dark Ages 1:58:29 - Outro Find out more at https://broken-campfire.pinecast.co

The Mack Attack is back!! If you enjoyed Mack Baylines jaunt through The Gauntlet, then you're going to love this Boilermaker Tape. If the name of this story doesn't catch your attention, then take our word for it - this tale of adventure and debauchery winds down the rabbit hole. Jumping from the NYC music scene to the cobblestoned streets of Annapolis, this acid soaked BMT will keep you guessing what comes next.Follow:@maybeitsmackbaylineFOLLOWwww.brpdrinkalong.comInstagram, Facebook, Twitter, Snapchat, Twitch & Tiktok @brpdrinkalongSUPPORTPatreon: www.patreon.com/brpdrinkalongCall The Suggestion Box: (423) POD-RANT (423) 763-7268LEAVE A TIPPaypal: TheBartenderRantPodcast@gmail.comMUSICBRP Spotify Playlists: https://open.spotify.com/user/vxrhwthznghu758w9x6qoy4mk?si=a23ef91df4b34f5bTrauma Parlor: https://open.spotify.com/artist/1PDlUPjR2lk7vPX5NCX8Hi?si=mtrOsDqTTJuGe-Dy5fZHLQ

Run Ten Junk Miles with Scotty, Melissa "Kind of a Big Deal" Kaiser, Oscar Delgado and Andrew Robot Dinosaur in which they talk about the year ahead, flasks, are races too expensive? Travelling, Strava Shout Outs, Packages and much much more!! This episode also brought to you by UCAN Use the code TENJUNKMILES for 20% off here: https://ucan.co/tenjunkmiles Join the official Facebook Group: https://www.facebook.com/groups/1057521258604634 Sign up for the races here: https://www.tenjunkmilesracing.com   Support the show via Patreon here: https://www.patreon.com/tenjunkmiles   Website: http://www.tenjunkmiles.com/   Patreon: https://www.patreon.com/tenjunkmiles   Twitter: https://twitter.com/tenjunkmiles   Instagram: https://www.instagram.com/tenjunkmiles/   Facebook: https://www.facebook.com/TenJunkMiles/

Follow-up DIGI Sun sensors, Jared Isaacman, Blue Origin New Glenn, Deep Space Gateway, Re #677 → NMBS ziet definitief af van wifi in Belgische treinen Onderwerpen De eindejaarslijstjes, het beste (of slechtste) van 2️⃣0️⃣2️⃣4️⃣ Beste film

Clem kicks off the show with a poem that is nearly the opposite of a "cake poem." No missing title there. With the other two, Aaron and Dave may find themselves with more familiar styles yet still end up lost in the pregnant stars. Clem then pulls what may be a My Bad Poetry first, having brought an end poem written specifically for the show. My Bad Poetry Episode: 6.23 "Perched Rock, Flask of Salt (w/Clem Flowers) End Poem from a Real Poet: "If you think I'm stupid now//you should see me when I'm high// And I'm smarter than I look " Clem Flowers is a southern-transplant living and writing in Utah with a prolific collections of chapbooks available through kith publishing, Alien Buddha press, Bullshit lit, Cowboy Jamboree and more! Their newest two works are KUDZU and I Know Nothing But the Night.

Chapter 8 of Heroes in the Bible: Jesus with Dr. Tony Evans is inspired by the Gospels. The Broken Flask - Jesus' heart for the hurting and vulnerable is showcased in contrast to the religious elite's piety and hypocrisy. This is where the tension between Jesus and the Pharisees reaches a critical point. Jesus rebukes the religious elite, and thus sets in motion a conspiracy to put an end to him. Today's opening prayer is inspired by Job 38:41, Who provideth for the raven his food? when his young ones cry unto God, they wander for lack of meat. Listen to some of the greatest Bible stories ever told and make prayer a priority in your life by downloading the Pray.com app. Sign up for Heroes in the Bible devotionals at https://www.heroesinthebible.com/  Learn more about Dr. Tony Evans at https://tonyevans.org/ See omnystudio.com/listener for privacy information.

If you are a .NET developer or work in a place that has some of those folks, wouldn't it be great to fully leverage the entirety of PyPI with it's almost 600,000 packages inside your .NET code? But how would you do this? Previous efforts have let you write Python syntax but using the full libraries (especially the C-based ones) has been out of reach, until CSnakes. This project by Anthony Shaw and Aaron Powell unlocks some pretty serious integration between the two languages. We have them both here on the show today to tell us all about it. Episode sponsors Posit Bluehost Talk Python Courses Links from the show Anthony Shaw: github.com Aaron Powell: github.com Introducing CSnakes: tonybaloney.github.io CSnakes: tonybaloney.github.io Talk Python: We've moved to Hetzner: talkpython.fm/blog Talk Python: Talk Python rewritten in Quart (async Flask): talkpython.fm/blog Pyjion - A JIT for Python based upon CoreCLR: github.com Iron Python: ironpython.net Python.NET: pythonnet.github.io The buffer protocol: docs.python.org Avalonia UI: avaloniaui.net Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Let's say you want to create a web app and you know Python really well. Your first thought might be Flask or Django or even FastAPI? All good choices but there is a lot to get a full web app into production. The framework we'll talk about today, Reflex, allows you to just write Python code and it turns it into a full web app running FastAPI, NextJS, React and more plus it handles the deployment for you. It's a cool idea. Let's talk to Elvis Kahoro and Nikhil Rao from Reflex.dev. Episode sponsors Posit Bluehost Talk Python Courses Links from the show Elvis: github.com Nikhil: github.com Reflex Framework: reflex.dev Reflex source: github.com Reflex docs: reflex.dev Reflex Roadmap: github.com AG Grid: ag-grid.com Warp terminal: warp.dev A Stroll Down Startup Lane episode: talkpython.fm PuePy: Reactive frontend framework in Python episode: talkpython.fm Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Dan Rolinson and Mat Kendrick answer your questions on today's episode of Claret & Blue, after Aston Villa notched up another impressive win, this time against Fulham. Aston Villa sliding doors moments: https://pod.fo/e/220504

CEOs of publicly traded companies are often in the news talking about their new AI initiatives, but few of them have built anything with it. Drew Houston from Dropbox is different; he has spent over 400 hours coding with LLMs in the last year and is now refocusing his 2,500+ employees around this new way of working, 17 years after founding the company.Timestamps00:00 Introductions00:43 Drew's AI journey04:14 Revalidating expectations of AI08:23 Simulation in self-driving vs. knowledge work12:14 Drew's AI Engineering setup15:24 RAG vs. long context in AI models18:06 From "FileGPT" to Dropbox AI23:20 Is storage solved?26:30 Products vs Features30:48 Building trust for data access33:42 Dropbox Dash and universal search38:05 The evolution of Dropbox42:39 Building a "silicon brain" for knowledge work48:45 Open source AI and its impact51:30 "Rent, Don't Buy" for AI54:50 Staying relevant58:57 Founder Mode01:03:10 Advice for founders navigating AI01:07:36 Building and managing teams in a growing companyTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and there's no Swyx today, but I'm joined by Drew Houston of Dropbox. Welcome, Drew.Drew [00:00:14]: Thanks for having me.Alessio [00:00:15]: So we're not going to talk about the Dropbox story. We're not going to talk about the Chinatown bus and the flash drive and all that. I think you've talked enough about it. Where I want to start is you as an AI engineer. So as you know, most of our audience is engineering folks, kind of like technology leaders. You obviously run Dropbox, which is a huge company, but you also do a lot of coding. I think that's how you spend almost 400 hours, just like coding. So let's start there. What was the first interaction you had with an LLM API and when did the journey start for you?Drew [00:00:43]: Yeah. Well, I think probably all AI engineers or whatever you call an AI engineer, those people started out as engineers before that. So engineering is my first love. I mean, I grew up as a little kid. I was that kid. My first line of code was at five years old. I just really loved, I wanted to make computer games, like this whole path. That also led me into startups and eventually starting Dropbox. And then with AI specifically, I studied computer science, I got my, I did my undergrad, but I didn't do like grad level computer science. I didn't, I sort of got distracted by all the startup things, so I didn't do grad level work. But about several years ago, I made a couple of things. So one is I sort of, I knew I wanted to go from being an engineer to a founder. And then, but sort of the becoming a CEO part was sort of backed into the job. And so a couple of realizations. One is that, I mean, there's a lot of like repetitive and like manual work you have to do as an executive that is actually lends itself pretty well to automation, both for like my own convenience. And then out of interest in learning, I guess what we call like classical machine learning these days, I started really trying to wrap my head around understanding machine learning and informational retrieval more, more formally. So I'd say maybe 2016, 2017 started me writing these more successively, more elaborate scripts to like understand basic like classifiers and regression and, and again, like basic information retrieval and NLP back in those days. And there's sort of like two things that came out of that. One is techniques are super powerful. And even just like studying like old school machine learning was a pretty big inversion of the way I had learned engineering, right? You know, I started programming when everyone starts programming and you're, you're sort of the human, you're giving an algorithm to the, and spelling out to the computer how it should run it. And then machine learning, here's machine learning where it's like actually flip that, like give it sort of the answer you want and it'll figure out the algorithm, which was pretty mind bending. And it was both like pretty powerful when I would write tools, like figure out like time audits or like, where's my time going? Is this meeting a one-on-one or is it a recruiting thing or is it a product strategy thing? I started out doing that manually with my assistant, but then found that this was like a very like automatable task. And so, which also had the side effect of teaching me a lot about machine learning. But then there was this big problem, like anytime you, it was very good at like tabular structured data, but like anytime it hit, you know, the usual malformed English that humans speak, it would just like fall over. I had to kind of abandon a lot of the things that I wanted to build because like there's no way to like parse text. Like maybe it would sort of identify the part of speech in a sentence or something. But then fast forward to the LLM, I mean actually I started trying some of like this, what we would call like very small LLMs before kind of the GPT class models. And it was like super hard to get those things working. So like these 500 parameter models would just be like hallucinating and repeating and you know. So actually I'd kind of like written it off a little bit. But then the chat GPT launch and GPT-3 for sure. And then once people figured out like prompting and instruction tuning, this was sort of like November-ish 2022 like everybody else sort of that the chat GPT launch being the starting gun for the whole AI era of computing and then having API access to three and then early access to GPT-4. I was like, oh man, it's happening. And so I was literally on my honeymoon and we're like on a beach in Thailand and I'm like coding these like AI tools to automate like writing or to assist with writing and all these different use cases.Alessio [00:04:14]: You're like, I'm never going back to work. I'm going to automate all of it before I get back.Drew [00:04:17]: And I was just, you know, ever since then, I mean, I've always been like coding like prototypes and just stuff to make my life more convenient, but like escalated a lot after 22. And yeah, I spent, I checked, I think it was probably like over 400 hours this year so far coding because I had my paternity leave where I was able to work on some special projects. But yeah, it's a super important part of like my whole learning journey is like being really hands-on with these things. And I mean, it's probably not a typical recipe, but I really love to get down to the metal as far as how this stuff works.Alessio [00:04:47]: Yeah. So Swyx and I were with Sam Altman in October 22. We were like at a hack day at OpenAI and that's why we started this podcast eventually. But you did an interview with Sam like seven years ago and he asked you what's the biggest opportunity in startups and you were like machine learning and AI and you were almost like too early, right? It's like maybe seven years ago, the models weren't quite there. How should people think about revalidating like expectations of this technology? You know, I think even today people will tell you, oh, models are not really good at X because they were not good 12 months ago, but they're good today.Drew [00:05:19]: What's your project? Heuristics for thinking about that or how is, yeah, I think the way I look at it now is pretty, has evolved a lot since when I started. I mean, I think everybody intuitively starts with like, all right, let's try to predict the future or imagine like what's this great end state we're going to get to. And the tricky thing is like often those prognostications are right, but they're right in terms of direction, but not when. For example, you know, even in the early days of the internet, 90s when things were even like tech space and you know, even before like the browser or things like that, people were like, oh man, you're going to have, you know, you're going to be able to order food, get like a Snickers delivered to your house, you're going to be able to watch any movie ever created. And they were right. But they were like, you know, it took 20 years for that to actually happen. And before you got to DoorDash, you had to get, you started with like Webvan and Cosmo and before you get to Spotify, you had to do like Napster and Kazaa and LimeWire and like a bunch of like broken Britney Spears MP3s and malware. So I think the big lesson is being early is the same as being wrong. Being late is the same as being wrong. So really how do you calibrate timing? And then I think with AI, it's the same thing that people are like, oh, it's going to completely upend society and all these positive and negative ways. I think that's like most of those things are going to come true. The question is like, when is that going to happen? And then with AI specifically, I think there's also, in addition to sort of the general tech category or like jumping too fast to the future, I think that AI is particularly susceptible to that. And you look at self-driving, right? This idea of like, oh my God, you can have a self-driving car captured everybody's imaginations 10, 12 years ago. And you know, people are like, oh man, in two years, there's not going to be another year. There's not going to be a human driver on the road to be seen. It didn't work out that way, right? We're still 10, 12 years later where we're in a world where you can sort of sometimes get a Waymo in like one city on earth. Exciting, but just took a lot longer than people think. And the reason is there's a lot of engineering challenges, but then there's a lot of other like societal time constants that are hard to compress. So one thing I think you can learn from things like self-driving is they have these levels of autonomy that's a useful kind of framework in driving or these like maturity levels. People sort of skip to like level five, full autonomy, or we're going to have like an autonomous knowledge worker that's just going to take, that's going to, and then we won't need humans anymore kind of projection that that's going to take a long time. But then when you think about level one or level two, like these little assistive experiences, you know, we're seeing a lot of traction with those. So what you see really working is the level one autonomy in the AI world would be like the tab auto-complete and co-pilot, right? And then, you know, maybe a little higher is like the chatbot type interface. Obviously you want to get to the highest level you can to build a good product, but the reliability just isn't, and the capability just isn't there in the early innings. And so, and then you think of other level one, level two type things, like Google Maps probably did more for self-driving than in literal self-driving, like a billion people have like the ability to have like maps and navigation just like taken care of for you autonomously. So I think the timing and maturity are really important factors to include.Alessio [00:08:23]: The thing with self-driving, maybe one of the big breakthroughs was like simulation. So it's like, okay, instead of driving, we can simulate these environments. It's really hard to do when knowledge work, you know, how do you simulate like a product review? How do you simulate these things? I'm curious if you've done any experiments. I know some companies have started to build kind of like a virtual personas that you can like bounce ideas off of.Drew [00:08:42]: I mean, fortunately in a company you generate lots of, you know, actual human training data all the time. And then I also just like start with myself, like, all right, I can, you know, it's pretty tricky even within your company to be like, all right, let's open all this up as quote training data. But, you know, I can start with my own emails or my own calendar or own stuff without running into the same kind of like privacy or other concerns. So I often like start with my own stuff. And so that is like a one level of bootstrapping, but actually four or five years ago during COVID, we decided, you know, a lot of companies were thinking about how do we go back to work? And so we decided to really lean into remote and distributed work because I thought, you know, this is going to be the biggest change to the way we work in our lifetimes. And COVID kind of ripped up a bunch of things, but I think everybody was sort of pleasantly surprised how with a lot of knowledge work, you could just keep going. And actually you were sort of fine. Work was decoupled from your physical environment, from being in a physical place, which meant that things people had dreamed about since the fifties or sixties, like telework, like you actually could work from anywhere. And that was now possible. So we decided to really lean into that because we debated, should we sort of hit the fast forward button or should we hit the rewind button and go back to 2019? And obviously that's been playing out over the last few years. And we decided to basically turn, we went like 90% remote. We still, the in-person part's really important. We can kind of come back to our working model, but we're like, yeah, this is, everybody is going to be in some kind of like distributed or hybrid state. So like instead of like running away from this, like let's do a full send, let's really go into it. Let's live in the future. A few years before our customers, let's like turn Dropbox into a lab for distributed work. And we do that like quite literally, both of the working model and then increasingly with our products. And then absolutely, like we have products like Dropbox Dash, which is our universal search product. That was like very elevated in priority for me after COVID because like now you have, we're putting a lot more stress on the system and on our screens, it's a lot more chaotic and overwhelming. And so even just like getting the right information, the right person at the right time is a big fundamental challenge in knowledge work and these, in the distributed world, like big problem today is still getting, you know, has been getting bigger. And then for a lot of these other workflows, yeah, there's, we can both get a lot of natural like training data from just our own like strategy docs and processes. There's obviously a lot you can do with synthetic data and you know, actually like LMs are pretty good at being like imitating generic knowledge workers. So it's, it's kind of funny that way, but yeah, the way I look at it is like really turn Dropbox into a lab for distributed work. You think about things like what are the big problems we're going to have? It's just the complexity on our screens just keeps growing and the whole environment gets kind of more out of sync with what makes us like cognitively productive and engaged. And then even something like Dash was initially seeded, I made a little personal search engine because I was just like personally frustrated with not being able to find my stuff. And along that whole learning journey with AI, like the vector search or semantic search, things like that had just been the tooling for that. The open source stuff had finally gotten to a place where it was a pretty good developer experience. And so, you know, in a few days I had sort of a hello world type search engine and I'm like, oh my God, like this completely works. You don't even have to get the keywords right. The relevance and ranking is super good. We even like untuned. So I guess that's to say like I've been surprised by if you choose like the right algorithm and the right approach, you can actually get like super good results without having like a ton of data. And even with LLMs, you can apply all these other techniques to give them, kind of bootstrap kind of like task maturity pretty quickly.Alessio [00:12:14]: Before we jump into Dash, let's talk about the Drew Haas and AI engineering stuff. So IDE, let's break that down. What IDE do you use? Do you use Cursor, VS Code, do you use any coding assistant, like WeChat, is it just autocomplete?Drew [00:12:28]: Yeah, yeah. Both. So I use VS Code as like my daily driver, although I'm like super excited about things like Cursor or the AI agents. I have my own like stack underneath that. I mean, some off the shelf parts, some pretty custom. So I use the continue.dev just like AI chat UI basically as just the UI layer, but I also proxy the request. I proxy the request to my own backend, which is sort of like a router. You can use any backend. I mean, Sonnet 3.5 is probably the best all around. But then these things are like pretty limited if you don't give them the right context. And so part of what the proxy does is like there's a separate thing where I can say like include all these files by default with the request. And then it becomes a lot easier and like without like cutting and pasting. And I'm building mostly like prototype toy apps, so it's like a front end React thing and a Python backend thing. And so it can do these like end to end diffs basically. And then I also like love being able to host everything locally or do it offline. So I have my own, when I'm on a plane or something or where like you don't have access or the internet's not reliable, I actually bring a gaming laptop on the plane with me. It's like a little like blue briefcase looking thing. And then I like literally hook up a GPU like into one of the outlets. And then I have, I can do like transcription, I can do like autocomplete, like I have an 8 billion, like Llama will run fine.Alessio [00:13:44]: And you're using like a Llama to run the model?Drew [00:13:47]: No, I use, I have my own like LLM inference stack. I mean, it uses the backend somewhat interchangeable. So everything from like XLlama to VLLM or SGLang, there's a bunch of these different backends you can use. And then I started like working on stuff before all this tooling was like really available. So you know, over the last several years, I've built like my own like whole crazy environment and like in stack here. So I'm a little nuts about it.Alessio [00:14:12]: Yeah. What's the state of the art for, I guess not state of the art, but like when it comes to like frameworks and things like that, do you like using them? I think maybe a lot of people say, hey, things change so quickly, they're like trying to abstract things. Yeah.Drew [00:14:24]: It's maybe too early today. As much as I do a lot of coding, I have to be pretty surgical with my time. I don't have that much time, which means I have to sort of like scope my innovation to like very specific places or like my time. So for the front end, it'll be like a pretty vanilla stack, like a Next.js, React based thing. And then these are toy apps. So it's like Python, Flask, SQLite, and then all the different, there's a whole other thing on like the backend. Like how do you get, sort of run all these models locally or with a local GPU? The scaffolding on the front end is pretty straightforward, the scaffolding on the backend is pretty straightforward. Then a lot of it is just like the LLM inference and control over like fine grained aspects of how you do generation, caching, things like that. And then there's a lot, like a lot of the work is how do you take, sort of go to an IMAP, like take an email, get a new, or a document or a spreadsheet or any of these kinds of primitives that you work with and then translate them, render them in a format that an LLM can understand. So there's like a lot of work that goes into that too. Yeah.Alessio [00:15:24]: So I built a kind of like email triage system and like I would say 80% of the code is like Google and like pulling emails and then the actual AI part is pretty easy.Drew [00:15:34]: Yeah. And even, same experience. And then I tried to do all these like NLP things and then to my dismay, like a bunch of reg Xs were like, got you like 95% of the way there. So I still leave it running, I just haven't really built like the LLM powered version of it yet. Yeah.Alessio [00:15:51]: So do you have any thoughts on rag versus long context, especially, I mean with Dropbox, you know? Sure. Do you just want to shove things in? Like have you seen that be a lot better?Drew [00:15:59]: Well, they kind of have different strengths and weaknesses, so you need both for different use cases. I mean, it's been awesome in the last 12 months, like now you have these like long context models that can actually do a lot. You can put a book in, you know, Sonnet's context and then now with the later versions of LLAMA, you can have 128k context. So that's sort of the new normal, which is awesome and that, that wasn't even the case a year ago. That said, models don't always use, and certainly like local models don't use the full context well fully yet, and actually if you provide too much irrelevant context, the quality degrades a lot. And so I say in the open source world, like we're still just getting to the cusp of like the full context is usable. And then of course, like when you're something like Dropbox Dash, like it's basically building this whole like brain that's like read everything your company's ever written. And so that's not going to fit into your context window, so you need rag just as a practical reality. And even for a lot of similar reasons, you need like RAM and hard disk in conventional computer architecture. And I think these things will keep like horse trading, like maybe if, you know, a million or 10 million is the new, tokens is the new context length, maybe that shifts. Maybe the bigger picture is like, it's super exciting to talk about the LLM and like that piece of the puzzle, but there's this whole other scaffolding of more conventional like retrieval or conventional machine learning, especially because you have to scale up products to like millions of people you do in your toy app is not going to scale to that from a cost or latency or performance standpoint. So I think you really need these like hybrid architectures that where you have very like purpose fit tools, or you're probably not using Sonnet 3.5 for all of your normal product use cases. You're going to use like a fine tuned 8 billion model or sort of the minimum model that gets you the right output. And then a smaller model also is like a lot more cost and latency versus like much better characteristics on that front.Alessio [00:17:48]: Yeah. Let's jump into the Dropbox AI story. So sure. Your initial prototype was Files GPT. How did it start? And then how did you communicate that internally? You know, I know you have a pretty strong like mammal culture. One where you're like, okay, Hey, we got to really take this seriously.Drew [00:18:06]: Yeah. Well, on the latter, it was, so how do we say like how we took Dropbox, how AI seriously as a company started kind of around that time, that honeymoon time, unfortunately. In January, I wrote this like memo to the company, like around basically like how we need to play offense in 23. And that most of the time the kind of concrete is set and like the winners are the winners and things are kind of frozen. But then with these new eras of computing, like the PC or the internet or the phone or the concrete on freezes and you can sort of build, do things differently and have a new set of winners. It's sort of like a new season starts as a result of a lot of that sort of personal hacking and just like thinking about this. I'm like, yeah, this is an inflection point in the industry. Like we really need to change how we think about our strategy. And then becoming an AI first company was probably the headline thing that we did. And then, and then that got, and then calling on everybody in the company to really think about in your world, how is AI going to reshape your workflows or what sort of the AI native way of thinking about your job. File GPT, which is sort of this Dropbox AI kind of initial concept that actually came from our engineering team as, you know, as we like called on everybody, like really think about what we should be doing that's new or different. So it was kind of organic and bottoms up like a bunch of engineers just kind of hacked that together. And then that materialized as basically when you preview a file on Dropbox, you can have kind of the most straightforward possible integration of AI, which is a good thing. Like basically you have a long PDF, you want to be able to ask questions of it. So like a pretty basic implementation of RAG and being able to do that when you preview a file on Dropbox. So that was the origin of that, that was like back in 2023 when we released just like the starting engines had just, you know, gotten going.Alessio [00:19:53]: It's funny where you're basically like these files that people have, they really don't want them in a way, you know, like you're storing all these files and like you actually don't want to interact with them. You want a layer on top of it. And that's kind of what also takes you to Dash eventually, which is like, Hey, you actually don't really care where the file is. You just want to be the place that aggregates it. How do you think about what people will know about files? You know, are files the actual file? Are files like the metadata and they're just kind of like a pointer that goes somewhere and you don't really care where it is?Drew [00:20:21]: Yeah.Alessio [00:20:22]: Any thoughts about?Drew [00:20:23]: Totally. Yeah. I mean, there's a lot of potential complexity in that question, right? Is it a, you know, what's the difference between a file and a URL? And you can go into the technicals, it's like pass by value, pass by reference. Okay. What's the format like? All right. So it starts with a primitive. It's not really a flat file. It's like a structured data. You're sort of collaborative. Yeah. That's keeping in sync. Blah, blah, blah. I actually don't start there at all. I just start with like, what do people, like, what do humans, let's work back from like how humans think about this stuff or how they should think about this stuff. Meaning like, I don't think about, Oh, here are my files and here are my links or cloud docs. I'm just sort of like, Oh, here's my stuff. This, this, here's sort of my documents. Here's my media. Here's my projects. Here are the people I'm working with. So it starts from primitives more like those, like how do people, how do humans think about these things? And then, then start from like a more ideal experience. Because if you think about it, we kind of have this situation that will look like particularly medieval in hindsight where, all right, how do you manage your work stuff? Well, on all, you know, on one side of your screen, you have this file browser that literally hasn't changed since the early eighties, right? You could take someone from the original Mac and sit them in front of like a computer and they'd be like, this is it. And that's, it's been 40 years, right? Then on the other side of your screen, you have like Chrome or a browser that has so many tabs open, you can no longer see text or titles. This is the state of the art for how we manage stuff at work. Interestingly, neither of those experiences was purpose-built to be like the home for your work stuff or even anything related to it. And so it's important to remember, we get like stuck in these local maxima pretty often in tech where we're obviously aware that files are not going away, especially in certain domains. So that format really matters and where files are still going to be the tool you use for like if there's something big, right? If you're a big video file, that kind of format in a file makes sense. There's a bunch of industries where it's like construction or architecture or sort of these domain specific areas, you know, media generally, if you're making music or photos or video, that all kind of fits in the big file zone where Dropbox is really strong and that's like what customers love us for. It's also pretty obvious that a lot of stuff that used to be in, you know, Word docs or Excel files, like all that has tilted towards the browser and that tilt is going to continue. So with Dash, we wanted to make something that was really like cloud-native, AI-native and deliberately like not be tied down to the abstractions of the file system. Now on the other hand, it would be like ironic and bad if we then like fractured the experience that you're like, well, if it touches a file, it's a syncing metaphor to this app. And if it's a URL, it's like this completely different interface. So there's a convergence that I think makes sense over time. But you know, but I think you have to start from like, not so much the technology, start from like, what do the humans want? And then like, what's the idealized product experience? And then like, what are the technical underpinnings of that, that can make that good experience?Alessio [00:23:20]: I think it's kind of intuitive that in Dash, you can connect Google Drive, right? Because you think about Dropbox, it's like, well, it's file storage, you really don't want people to store files somewhere, but the reality is that they do. How do you think about the importance of storage and like, do you kind of feel storage is like almost solved, where it's like, hey, you can kind of store these files anywhere, what matters is like access.Drew [00:23:38]: It's a little bit nuanced in that if you're dealing with like large quantities of data, it actually does matter. The implementation matters a lot or like you're dealing with like, you know, 10 gig video files like that, then you sort of inherit all the problems of sync and have to go into a lot of the challenges that we've solved. Switching on a pretty important question, like what is the value we provide? What does Dropbox do? And probably like most people, I would have said like, well, Dropbox syncs your files. And we didn't even really have a mission of the company in the beginning. I'm just like, yeah, I just don't want to carry a thumb driving around and life would be a lot better if our stuff just like lived in the cloud and I just didn't have to think about like, what device is the thing on or what operating, why are these operating systems fighting with each other and incompatible? You know, I just want to abstract all of that away. But then so we thought, even we were like, all right, Dropbox provides storage. But when we talked to our customers, they're like, that's not how we see this at all. Like actually, Dropbox is not just like a hard drive in the cloud. It's like the place where I go to work or it's a place like I started a small business is a place where my dreams come true. Or it's like, yeah, it's not keeping files in sync. It's keeping people in sync. It's keeping my team in sync. And so they're using this kind of language where we're like, wait, okay, yeah, because I don't know, storage probably is a commodity or what we do is a commodity. But then we talked to our customers like, no, we're not buying the storage, we're buying like the ability to access all of our stuff in one place. We're buying the ability to share everything and sort of, in a lot of ways, people are buying the ability to work from anywhere. And Dropbox was kind of, the fact that it was like file syncing was an implementation detail of this higher order need that they had. So I think that's where we start too, which is like, what is the sort of higher order thing, the job the customer is hiring Dropbox to do? Storage in the new world is kind of incidental to that. I mean, it still matters for things like video or those kinds of workflows. The value of Dropbox had never been, we provide you like the cheapest bits in the cloud. But it is a big pivot from Dropbox is the company that syncs your files to now where we're going is Dropbox is the company that kind of helps you organize all your cloud content. I started the company because I kept forgetting my thumb drive. But the question I was really asking was like, why is it so hard to like find my stuff, organize my stuff, share my stuff, keep my stuff safe? You know, I'm always like one washing machine and I would leave like my little thumb drive with all my prior company stuff on in the pocket of my shorts and then almost wash it and destroy it. And so I was like, why do we have to, this is like medieval that we have to think about this. So that same mindset is how I approach where we're going. But I think, and then unfortunately the, we're sort of back to the same problems. Like it's really hard to find my stuff. It's really hard to organize myself. It's hard to share my stuff. It's hard to secure my content at work. Now the problem is the same, the shape of the problem and the shape of the solution is pretty different. You know, instead of a hundred files on your desktop, it's now a hundred tabs in your browser, et cetera. But I think that's the starting point.Alessio [00:26:30]: How has the idea of a product evolved for you? So, you know, famously Steve Jobs started by Dropbox and he's like, you know, this is just a feature. It's not a product. And then you build like a $10 billion feature. How in the age of AI, how do you think about, you know, maybe things that used to be a product are now features because the AI on top of it, it's like the product, like what's your mental model? Do you think about it?Drew [00:26:50]: Yeah. So I don't think there's really like a bright line. I don't know if like I use the word features and products and my mental model that much of how I break it down because it's kind of a, it's a good question. I mean, I don't not think about features, I don't think about products, but it does start from that place of like, all right, we have all these new colors we can paint with and all right, what are these higher order needs that are sort of evergreen, right? So people will always have stuff at work. They're always need to be able to find it or, you know, all the verbs I just mentioned. It's like, okay, how can we make like a better painting and how can we, and then how can we use some of these new colors? And then, yeah, it's like pretty clear that after the large models, the way you find stuff share stuff, it's going to be completely different after COVID, it's going to be completely different. So that's the starting point. But I think it is also important to, you know, you have to do more than just work back from the customer and like what they're trying to do. Like you have to think about, and you know, we've, we've learned a lot of this the hard way sometimes. Okay. You might start with a customer. You might start with a job to be on there. You're like, all right, what's the solution to their problem? Or like, can we build the best product that solves that problem? Right. Like what's the best way to find your stuff in the modern world? Like, well, yeah, right now the status quo for the vast majority of the billion, billion knowledge workers is they have like 10 search boxes at work that each search 10% of your stuff. Like that's clearly broken. Obviously you should just have like one search box. All right. So we can do that. And that also has to be like, I'll come back to defensibility in a second, but like, can we build the right solution that is like meaningfully better from the status quo? Like, yes, clearly. Okay. Then can we like get distribution and growth? Like that's sort of the next thing you learned is as a founder, you start with like, what's the product? What's the product? What's the product? Then you're like, wait, wait, we need distribution and we need a business model. So those are the next kind of two dominoes you have to knock down or sort of needles you have to thread at the same time. So all right, how do we grow? I mean, if Dropbox 1.0 is really this like self-serve viral model that there's a lot of, we sort of took a borrowed from a lot of the consumer internet playbook and like what Facebook and social media were doing and then translated that to sort of the business world. How do you get distribution, especially as a startup? And then a business model, like, all right, storage happened to be something in the beginning happened to be something people were willing to pay for. They recognize that, you know, okay, if I don't buy something like Dropbox, I'm going to have to buy an external hard drive. I'm going to have to buy a thumb drive and I have to pay for something one way or another. People are already paying for things like backup. So we felt good about that. But then the last domino is like defensibility. Okay. So you build this product or you get the business model, but then, you know, what do you do when the incumbents, the next chess move for them is I just like copy, bundle, kill. So they're going to copy your product. They'll bundle it with their platforms and they'll like give it away for free or no added cost. And, you know, we had a lot of, you know, scar tissue from being on the wrong side of that. Now you don't need to solve all four for all four or five variables or whatever at once or you can sort of have, you know, some flexibility. But the more of those gates that you get through, you sort of add a 10 X to your valuation. And so with AI, I think, you know, there's been a lot of focus on the large language model, but it's like large language models are a pretty bad business from a, you know, you sort of take off your tech lens and just sort of business lens. Like there's sort of this weirdly self-commoditizing thing where, you know, models only have value if they're kind of on this like Pareto frontier of size and quality and cost. Being number two, you know, if you're not on that frontier, the second the frontier moves out, which it moves out every week, like your model literally has zero economic value because it's dominated by the new thing. LLMs generate output that can be used to train or improve. So there's weird, peculiar things that are specific to the large language model. And then you have to like be like, all right, where's the value going to accrue in the stack or the value chain? And, you know, certainly at the bottom with Nvidia and the semiconductor companies, and then it's going to be at the top, like the people who have the customer relationship who have the application layer. Those are a few of the like lenses that I look at a question like that through.Alessio [00:30:48]: Do you think AI is making people more careful about sharing the data at all? People are like, oh, data is important, but it's like, whatever, I'm just throwing it out there. Now everybody's like, but are you going to train on my data? And like your data is actually not that good to train on anyway. But like how have you seen, especially customers, like think about what to put in, what to not?Drew [00:31:06]: I mean, everybody should be. Well, everybody is concerned about this and nobody should be concerned about this, right? Because nobody wants their personal companies information to be kind of ground up into little pellets to like sell you ads or train the next foundation model. I think it's like massively top of mind for every one of our customers, like, and me personally, and with my Dropbox hat on, it's like so fundamental. And, you know, we had experience with this too at Dropbox 1.0, the same kind of resistance, like, wait, I'm going to take my stuff on my hard drive and put it on your server somewhere. Are you serious? What could possibly go wrong? And you know, before that, I was like, wait, are you going to sell me, I'm going to put my credit card number into this website? And before that, I was like, hey, I'm going to take all my cash and put it in a bank instead of under my mattress. You know, so there's a long history of like tech and comfort. So in some sense, AI is kind of another round of the same thing, but the issues are real. And then when I think about like defensibility for Dropbox, like that's actually a big advantage that we have is one, our incentives are very aligned with our customers, right? We only get, we only make money if you pay us and you only pay us if we do a good job. So we don't have any like side hustle, you know, we're not training the next foundation model. You know, we're not trying to sell you ads. Actually we're not even trying to lock you into an ecosystem, like the whole point of Dropbox is it works, you know, everywhere. Because I think one of the big questions we've circling around is sort of like, in the world of AI, where should our lane be? Like every startup has to ask, or in every big company has to ask, like, where can we really win? But to me, it was like a lot of the like trust advantages, platform agnostic, having like a very clean business model, not having these other incentives. And then we also are like super transparent. We were transparent early on. We're like, all right, we're going to establish these AI principles, very table stakes stuff of like, here's transparency. We want to give people control. We want to cover privacy, safety, bias, like fairness, all these things. And we put that out up front to put some sort of explicit guardrails out where like, hey, we're, you know, because everybody wants like a trusted partner as they sort of go into the wild world of AI. And then, you know, you also see people cutting corners and, you know, or just there's a lot of uncertainty or, you know, moving the pieces around after the fact, which no one feels good about.Alessio [00:33:14]: I mean, I would say the last 10, 15 years, the race was kind of being the system of record, being the storage provider. I think today it's almost like, hey, if I can use Dash to like access my Google Drive file, why would I pay Google for like their AI feature? So like vice versa, you know, if I can connect my Dropbook storage to this other AI assistant, how do you kind of think about that, about, you know, not being able to capture all the value and how open people will stay? I think today things are still pretty open, but I'm curious if you think things will get more closed or like more open later.Drew [00:33:42]: Yeah. Well, I think you have to get the value exchange right. And I think you have to be like a trustworthy partner or like no one's going to partner with you if they think you're going to eat their lunch, right? Or if you're going to disintermediate them and like all the companies are quite sophisticated with how they think about that. So we try to, like, we know that's going to be the reality. So we're actually not trying to eat anyone's like Google Drive's lunch or anything. Actually we'll like integrate with Google Drive, we'll integrate with OneDrive, really any of the content platforms, even if they compete with file syncing. So that's actually a big strategic shift. We're not really reliant on being like the store of record and there are pros and cons to this decision. But if you think about it, we're basically like providing all these apps more engagement. We're like helping users do what they're really trying to do, which is to get, you know, that Google Doc or whatever. And we're not trying to be like, oh, by the way, use this other thing. This is all part of our like brand reputation. It's like, no, we give people freedom to use whatever tools or operating system they want. We're not taking anything away from our partners. We're actually like making it, making their thing more useful or routing people to those things. I mean, on the margin, then we have something like, well, okay, to the extent you do rag and summarize things, maybe that doesn't generate a click. Okay. You know, we also know there's like infinity investment going into like the work agents. So we're not really building like a co-pilot or Gemini competitor. Not because we don't like those. We don't find that thing like captivating. Yeah, of course. But just like, you know, you learn after some time in this business that like, yeah, there's some places that are just going to be such kind of red oceans or just like super big battlefields. Everybody's kind of trying to solve the same problem and they just start duplicating all each other effort. And then meanwhile, you know, I think the concern would be is like, well, there's all these other problems that aren't being properly addressed by AI. And I was concerned that like, yeah, and everybody's like fixated on the agent or the chatbot interface, but forgetting that like, hey guys, like we have the opportunity to like really fix search or build a self-organizing Dropbox or environment or there's all these other things that can be a compliment. Because we don't really want our customers to be thinking like, well, do I use Dash or do I use co-pilot? And frankly, none of them do. In a lot of ways, actually, some of the things that we do on the security front with Dash for Business are a good compliment to co-pilot. Because as part of Dash for Business, we actually give admins, IT, like universal visibility and control over all the different, what's being shared in your company across all these different platforms. And as a precondition to installing something like co-pilot or Dash or Glean or any of these other things, right? You know, IT wants to know like, hey, before we like turn all the lights in here, like let's do a little cleaning first before we let everybody in. And there just haven't been good tools to do that. And post AI, you would do it completely differently. And so that's like a big, that's a cornerstone of what we do and what sets us apart from these tools. And actually, in a lot of cases, we will help those tools be adopted because we actually help them do it safely. Yeah.Alessio [00:36:27]: How do you think about building for AI versus people? It's like when you mentioned cleaning up is because maybe before you were like, well, humans can have some common sense when they look at data on what to pick versus models are just kind of like ingesting. Do you think about building products differently, knowing that a lot of the data will actually be consumed by LLMs and like agents and whatnot versus like just people?Drew [00:36:46]: I think it'll always be, I aim a little bit more for like, you know, level three, level four kind of automation, because even if the LLM is like capable of completely autonomously organizing your environment, it probably would do a reasonable job. But like, I think you build bad UI when the sort of user has to fit itself to the computer versus something that you're, you know, it's like an instrument you're playing or something where you have some kind of good partnership. And you know, and on the other side, you don't have to do all this like manual effort. And so like the command line was sort of subsumed by like, you know, graphical UI. We'll keep toggling back and forth. Maybe chat will be, chat will be an increasing, especially when you bring in voice, like will be an increasing part of the puzzle. But I don't think we're going to go back to like a million command lines either. And then as far as like the sort of plumbing of like, well, is this going to be consumed by an LLM or a human? Like fortunately, like you don't really have to design it that differently. I mean, you have to make sure everything's legible to the LLM, but it's like quite tolerant of, you know, malformed everything. And actually the more, the easier it makes something to read for a human, the easier it is for an LLM to read to some extent as well. But we really think about what's that kind of right, how do we build that right, like human machine interface where you're still in control and driving, but then it's super easy to translate your intent into like the, you know, however you want your folder, setting your environment set up or like your preferences.Alessio [00:38:05]: What's the most underrated thing about Dropbox that maybe people don't appreciate?Drew [00:38:09]: Well, I think this is just such a natural evolution for us. It's pretty true. Like when people think about the world of AI, file syncing is not like the next thing you would auto complete mentally. And I think we also did like our first thing so well that there were a lot of benefits to that. But I think there also are like, we hit it so hard with our first product that it was like pretty tough to come up with a sequel. And we had a bit of a sophomore slump and you know, I think actually a lot of kids do use Dropbox through in high school or things like that, but you know, they're not, they're using, they're a lot more in the browser and then their file system, right. And we know all this, but still like we're super well positioned to like help a new generation of people with these fundamental problems and these like that affect, you know, a billion knowledge workers around just finding, organizing, sharing your stuff and keeping it safe. And there's, there's a ton of unsolved problems in those four verbs. We've talked about search a little bit, but just even think about like a whole new generation of people like growing up without the ability to like organize their things and yeah, search is great. And if you just have like a giant infinite pile of stuff, then search does make that more manageable. But you know, you do lose some things that were pretty helpful in prior decades, right? So even just the idea of persistence, stuff still being there when you come back, like when I go to sleep and wake up, my physical papers are still on my desk. When I reboot my computer, the files are still on my hard drive. But then when in my browser, like if my operating system updates the wrong way and closes the browser or if I just more commonly just declared tab bankruptcy, it's like your whole workspace just clears itself out and starts from zero. And you're like, on what planet is this a good idea? There's no like concept of like, oh, here's the stuff I was working on. Yeah, let me get back to it. And so that's like a big motivation for things like Dash. Huge problems with sharing, right? If I'm remodeling my house or if I'm getting ready for a board meeting, you know, what do I do if I have a Google doc and an air table and a 10 gig 4k video? There's no collection that holds mixed format things. And so it's another kind of hidden problem, hidden in plain sight, like he's missing primitives. Files have folders, songs have playlists, links have, you know, there's no, somehow we miss that. And so we're building that with stacks in Dash where it's like a mixed format, smart collection that you can then, you know, just share whatever you need internally, externally and have it be like a really well designed experience and platform agnostic and not tying you to any one ecosystem. We're super excited about that. You know, we talked a little bit about security in the modern world, like IT signs all these compliance documents, but in reality has no way of knowing where anything is or what's being shared. It's actually better for them to not know about it than to know about it and not be able to do anything about it. And when we talked to customers, we found that there were like literally people in IT whose jobs it is to like manually go through, log into each, like log into office, log into workspace, log into each tool and like go comb through one by one the links that people have shared and like unshares. There's like an unshare guy in all these companies and that that job is probably about as fun as it sounds like, my God. So there's, you know, fortunately, I guess what makes technology a good business is for every problem it solves, it like creates a new one, so there's always like a sequel that you need. And so, you know, I think the happy version of our Act 2 is kind of similar to Netflix. I look at a lot of these companies that really had multiple acts and Netflix had the vision to be streaming from the beginning, but broadband and everything wasn't ready for it. So they started by mailing you DVDs, but then went to streaming and then, but the value probably the whole time was just like, let me press play on something I want to see. And they did a really good job about bringing people along from the DVD mailing off. You would think like, oh, the DVD mailing piece is like this burning platform or it's like legacy, you know, ankle weight. And they did have some false starts in that transition. But when you really think about it, they were able to take that DVD mailing audience, move, like migrate them to streaming and actually bootstrap a, you know, take their season one people and bootstrap a victory in season two, because they already had, you know, they weren't starting from scratch. And like both of those worlds were like super easy to sort of forget and be like, oh, it's all kind of destiny. But like, no, that was like an incredibly competitive environment. And Netflix did a great job of like activating their Act 1 advantages and winning in Act 2 because of it. So I don't think people see Dropbox that way. I think people are sort of thinking about us just in terms of our Act 1 and they're like, yeah, Dropbox is fine. I used to use it 10 years ago. But like, what have they done for me lately? And I don't blame them. So fortunately, we have like better and better answers to that question every year.Alessio [00:42:39]: And you call it like the silicon brain. So you see like Dash and Stacks being like the silicon brain interface, basically forDrew [00:42:46]: people. I mean, that's part of it. Yeah. And writ large, I mean, I think what's so exciting about AI and everybody's got their own kind of take on it, but if you like really zoom out civilizationally and like what allows humans to make progress and, you know, what sort of is above the fold in terms of what's really mattered. I certainly want to, I mean, there are a lot of points, but some that come to mind like you think about things like the industrial revolution, like before that, like mechanical energy, like the only way you could get it was like by your own hands, maybe an animal, maybe some like clever sort of machines or machines made of like wood or something. But you were quite like energy limited. And then suddenly, you know, the industrial revolution, things like electricity, it suddenly is like, all right, mechanical energy is now available on demand as a very fungible kind of, and then suddenly we consume a lot more of it. And then the standard of living goes way, way, way, way up. That's been pretty limited to the physical realm. And then I believe that the large models, that's really the first time we can kind of bottle up cognitive energy and offloaded, you know, if we started by offloading a lot of our mechanical or physical busy work to machines that freed us up to make a lot of progress in other areas. But then with AI and computing, we're like, now we can offload a lot more of our cognitive busy work to machines. And then we can create a lot more of it. Price of it goes way down. Importantly, like, it's not like humans never did anything physical again. It's sort of like, no, but we're more leveraged. We can move a lot more earth with a bulldozer than a shovel. And so that's like what is at the most fundamental level, what's so exciting to me about AI. And so what's the silicon brain? It's like, well, we have our human brains and then we're going to have this other like half of our brain that's sort of coming online, like our silicon brain. And it's not like one or the other. They complement each other. They have very complimentary strengths and weaknesses. And that's, that's a good thing. There's also this weird tangent we've gone on as a species to like where knowledge work, knowledge workers have this like epidemic of, of burnout, great resignation, quiet quitting. And there's a lot going on there. But I think that's one of the biggest problems we have is that be like, people deserve like meaningful work and, you know, can't solve all of it. But like, and at least in knowledge work, there's a lot of own goals, you know, enforced errors that we're doing where it's like, you know, on one side with brain science, like we know what makes us like productive and fortunately it's also what makes us engaged. It's like when we can focus or when we're some kind of flow state, but then we go to work and then increasingly going to work is like going to a screen and you're like, if you wanted to design an environment that made it impossible to ever get into a flow state or ever be able to focus, like what we have is that. And that was the thing that just like seven, eight years ago just blew my mind. I'm just like, I cannot understand why like knowledge work is so jacked up on this adventure. It's like, we, we put ourselves in like the most cognitively polluted environment possible and we put so much more stress on the system when we're working remotely and things like that. And you know, all of these problems are just like going in the wrong direction. And I just, I just couldn't understand why this was like a problem that wasn't fixing itself. And I'm like, maybe there's something Dropbox can do with this and you know, things like Dash are the first step. But then, well, so like what, well, I mean, now like, well, why are humans in this like polluted state? It's like, well, we're just, all of the tools we have today, like this generation of tools just passes on all of the weight, the burden to the human, right? So it's like, here's a bajillion, you know, 80,000 unread emails, cool. Here's 25 unread Slack channels. Here's, we all get started like, it's like jittery like thinking about it. And then you look at that, you're like, wait, I'm looking at my phone, it says like 80,000 unread things. There's like no question, product question for which this is the right answer. Fortunately, that's why things like our silicon brain are pretty helpful because like they can serve as like an attention filter where it's like, actually, computers have no problem reading a million things. Humans can't do that, but computers can. And to some extent, this was already happening with computer, you know, Excel is an aversion of your silicon brain or, you know, you could draw the line arbitrarily. But with larger models, like now so many of these little subtasks and tasks we do at work can be like fully automated. And I think, you know, I think it's like an important metaphor to me because it mirrors a lot of what we saw with computing, computer architecture generally. It's like we started out with the CPU, very general purpose, then GPU came along much better at these like parallel computations. We talk a lot about like human versus machine being like substituting, it's like CPU, GPU, it's not like one is categorically better than the other, they're complements. Like if you have something really parallel, use a GPU, if not, use a CPU. The whole relationship, that symbiosis between CPU and GPU has obviously evolved a lot since, you know, playing Quake 2 or something. But right now we have like the human CPU doing a lot of, you know, silicon CPU tasks. And so you really have to like redesign the work thoughtfully such that, you know, probably not that different from how it's evolved in computer architecture, where the CPU is sort of an orchestrator of these really like heavy lifting GPU tasks. That dividing line does shift a little bit, you know, with every generation. And so I think we need to think about knowledge work in that context, like what are human brains good at? What's our silicon brain good at? Let's resegment the work. Let's offload all the stuff that can be automated. Let's go on a hunt for like anything that could save a human CPU cycle. Let's give it to the silicon one. And so I think we're at the early earnings of actually being able to do something about it.Alessio [00:48:00]: It's funny, I gave a talk to a few government people earlier this year with a similar point where we used to make machines to release human labor. And then the kilowatt hour was kind of like the unit for a lot of countries. And now you're doing the same thing with the brain and the data centers are kind of computational power plants, you know, they're kind of on demand tokens. You're on the board of Meta, which is the number one donor of Flops for the open source world. The thing about open source AI is like the model can be open source, but you need to carry a briefcase to actually maybe run a model that is not even that good compared to some of the big ones. How do you think about some of the differences in the open source ethos with like traditional software where it's like really easy to run and act on it versus like models where it's like it might be open source, but like I'm kind of limited, sort of can do with it?Drew [00:48:45]: Yeah, well, I think with every new era of computing, there's sort of a tug of war between is this going to be like an open one or a closed one? And, you know, there's pros and cons to both. It's not like open is always better or open always wins. But, you know, I think you look at how the mobile, like the PC era and the Internet era started out being more on the open side, like it's very modular. Everybody sort of party that everybody could, you know, come to some downsides of that security. But I think, you know, the advent of AI, I think there's a real question, like given the capital intensity of what it takes to train these foundation models, like are we going to live in a world where oligopoly or cartel or all, you know, there's a few companies that have the keys and we're all just like paying them rent. You know, that's one future. Or is it going to be more open and accessible? And I'm like super happy with how that's just I find it exciting on many levels with all the different hats I wear about it. You know, fortunately, you've seen in real life, yeah, even if people aren't bringing GPUs on a plane or something, you've seen like the price performance of these models improve 10 or 100x year over year, which is sort of like many Moore's laws compounded together for a bunch of reasons like that wouldn't have happened without open source. Right. You know, for a lot of same reasons, it's probably better that we can anyone can sort of spin up a website without having to buy an internet information server license like there was some alternative future. So like things are Linux and really good. And there was a good balance of trade to where like people contribute their code and then also benefit from the community returning the favor. I mean, you're seeing that with open source. So you wouldn't see all this like, you know, this flourishing of research and of just sort of the democratization of access to compute without open source. And so I think it's been like phenomenally successful in terms of just moving the ball forward and pretty much anything you care about, I believe, even like safety. You can have a lot more eyes on it and transparency instead of just something is happening. And there was three places with nuclear power plants attached to them. Right. So I think it's it's been awesome to see. And then and again, for like wearing my Dropbox hat, like anybody who's like scaling a service to millions of people, again, I'm probably not using like frontier models for every request. It's, you know, there are a lot of different configurations, mostly with smaller models. And even before you even talk about getting on the device, like, you know, you need this whole kind of constellation of different options. So open source has been great for that.Alessio [00:51:06]: And you were one of the first companies in the cloud repatriation. You kind of brought back all the storage into your own data centers. Where are we in the AI wave for that? I don't think people really care today to bring the models in-house. Like, do you think people will care in the future? Like, especially as you have more small models that you want to control more of the economics? Or are the tokens so subsidized that like it just doesn't matter? It's more like a principle. Yeah. Yeah.Drew [00:51:30]: I mean, I think there's another one where like thinking about the future is a lot easier if you start with the past. So, I mean, there's definitely this like big surge in demand as like there's sort of this FOMO driven bubble of like all of big tech taking their headings and shipping them to Jensen for a couple of years. And then you're like, all right, well, first of all, we've seen this kind of thing before. And in the late 90s with like Fiber, you know, this huge race to like own the internet, own the information superhighway, literally, and then way overbuilt. And then there was this like crash. I don't know to what extent, like maybe it is really different this time. Or, you know, maybe if we create AGI that will sort of solve the rest of the, or we'll just have a different set of things to worry about. But, you know, the simplest way I think about it is like this is sort of a rent not buy phase because, you know, I wouldn't want to be, we're still so early in the maturity, you know, I wouldn't want to be buying like pallets of over like of 286s at a 5x markup when like the 386 and 486 and Pentium and everything are like clearly coming there around the corner. And again, because of open source, there's just been a lot more com

Topics covered in this episode: Why I Still Use Python Virtual Environments in Docker Python Developer Survey Results Anaconda Code add-in for Microsoft Excel Disabling Scheduled Dependency Updates Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through Our courses at Talk Python Training Hello, pytest! Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Why I Still Use Python Virtual Environments in Docker by Hynek Schlawack I was going to cover Production-ready Docker Containers with uv but decided to take this diversion instead. Spend a lot of time thinking about the secondary effects of what you do. venvs are well known and well documented. Let's use them. Brian #2: Python Developer Survey Results “… official Python Developers Survey, conducted as a collaborative effort between the Python Software Foundation and JetBrains.” Python w/ Rust rising, but still only 7% ““The drop in HTML/CSS/JS might show that data science is increasing its share of Python.” - Paul Everitt 37% contribute to open source. Awesome. Favorite Resources: Podcasts Lots of familiar faces there. Awesome. Perhaps I shouldn't have decided to move “Python Test” back to Test & Code Usage “Data analysis” down, but I think that's because “data engineering” is added. Data, Web dev, ML, devops, academic, Testing is down 23% Python Versions Still some 2 out there Most folks on 3.10-3.12 Install from: mostly python.org Frameworks web: Flask, Django, Requests, FastAPI … testing: pytest, unittest, mock, doctest, tox, hypothesis, nose (2% might be the Python 2 people) Data science 77% use pandas, 72% NumPy OS: Windows still at 55% Packaging: venv up to 55% I imaging uv will be on the list next year requirements.txt 63%, pyproject.toml 32% virtual env in containers? 47% say no Michael #3: Anaconda Code add-in for Microsoft Excel Run their Python-powered projects in Excel locally with the Anaconda Code add-in Powered by PyScript, an Anaconda supported open source project that runs Python locally without install and setup Features Cells Run Independently Range to Multiple Types init.py file is static and cannot be edited, with Anaconda Code, users have the ability to access and edit imports and definitions, allowing you to write top-level functions and classes and reuse them wherever you need. A Customizable Environment Brian #4: Disabling Scheduled Dependency Updates David Lord Interesting discussion of as they happen or batching of upsates to dependencies dependencies come in requirements files GH Actions in CI workflows pre-commit hooks David was seeing 60 PRs per month when set up on monthly updates (3 ecosystems * 20 projects) new tool for updating GH actions: gha-update, allows for local updating of GH dependencies New process Run pip-compile, gha-update, and pre-commit locally. Update a project's dependencies when actively working on the project, not just whenever a dependency updates. Note that this works fine for dev dependencies, less so for security updates from run time dependencies. But for libraries, runtime dependencies are usually not pinned. Extras Brian: Test & Code coming back this week Michael: Code in a Castle event Python Bytes badge spotting Guido's post removed for moderation Joke: C will watch in silence

Flask is one of the most important Python web frameworks and powers a bunch of the internet. David Lord, Flask's lead maintainer is here to give us an update on the state of Flask and Pallets in 2024. If you care about where Flask is and where it's going, you'll definitely want to listen in. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses Links from the show David on Mastodon: @davidism David on X: @davidism State of Pallets 2024 FlaskCon Talk: youtube.com FlaskCon: flaskcon.com FlaskCon 2024 Talks: youtube.com Pallets Discord: discord.com Pallets Eco: github.com JazzBand: jazzband.co Pallets Github Org: github.com Jinja: github.com Click: github.com Werkzeug: github.com MarkupSafe: github.com ItsDangerous: github.com Quart: github.com pypistats: pypistats.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

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