Podcasts about Vim

We spent the week learning keybindings, installing dependencies, and cramming for bonus points. Today, we score up and see how we did in the TUI Challenge.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

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Our terminal apps are loaded, the goals are set, but we're already hitting a few snags. The TUI Challenge begins...Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

Our heroes arrive at the Avium, and use it's library to learn more about the Aspect of Fire.Featuring:Mark as the DM Joey as the Hedge Monk "Master Quilton"ShortStack as the Luma Bard "Perry J Coop""Bendy as the Mapach Druid "Vim"BoomCow as the Mapach Fighter "Rikki"Enjoy!Humblewood Campaign Setting by Hit Point Press: https://hitpointpress.com/Character art by "Mel the Honeybee": https://linktr.ee/melthehoneybeeMusic credits:The Rhythm of Humblewood. Copyright © (2023) Hit Point Press.Music by Command Creative Studios. HitPointPress.com Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/#DND #dungeonsanddragons #TTRPGPodcast: https://anchor.fm/lfrogdndYouTube: https://www.youtube.com/josephblanchetteBlue Sky: https://bsky.app/profile/josephlfrog.bsky.socialturesPatreon: https://www.patreon.com/legendaryfrog

The crew descend upon the Iron Garden in a last-ditch effort to find what fate awaits Vim and Regina. As answers become questions and questions become paradoxes, the only thing left to ask is: are the NHPs feeling okay? Matcha exhausts a dialogue tree. Moxie gets digging. Roadkill shows the big iron on their hip. Silver dreams of cannibalism.Thank you to our Patreon supporters: Austin Sietsema, Eleanor Lady, Daffodil, RiverSupportsArtists, Gnome, Creaux, James Knevitt, Rocky Loy, Tau, JC Darcy, Robert Ruthven, AlexCrow, Jordan Myers, Keenan Geyer, DragonGirlJosie, Shonn Briscoe, Andor, & Diana Plante!!Bring Your Own Mech is a biweekly Lancer RPG actual play podcast of four Lancers thrown together by circumstance, destiny... and credits.Featuring: Reed (⁠⁠@ReedPlays⁠) as the Game Master Amelia (⁠⁠@amelia_g_music⁠) as Matcha Aki (⁠⁠@akinomii_art⁠⁠) as Moxie Dusty (⁠⁠@Dustehill⁠⁠) as Roadkill Aubrey (⁠⁠@MadQueenCosplay⁠⁠) as SilverFind us on Bluesky ⁠⁠⁠⁠⁠⁠@bringyourownmech.bsky.social⁠, and remember: batteries are not included.Lancer is created by Tom Parkinson Morgan (author of Kill Six Billion Demons) and Miguel Lopez of Massif Press. Bring Your Own Mech is not an official Lancer product; it is a third party work, and is not affiliated with Massif Press. Bring Your Own Mech is published via the Lancer Third Party License. Lancer is copyright Massif Press. Support the official release at ⁠⁠⁠⁠https://massif-press.itch.io⁠⁠⁠⁠Support us on Patreon! ⁠⁠⁠⁠https://www.patreon.com/bringyourownmech⁠⁠⁠⁠Get the official season 1 album, Bring Your Own Mixtape vol. 1! ⁠⁠⁠⁠https://ownmech.bandcamp.com/album/bring-your-own-mixtape-vol-1⁠⁠⁠⁠DRC CUSTOM OUTFITTERS Download: ⁠⁠⁠⁠https://ownmech.itch.io/drc-custom-outfitters-a-lancer-supplement⁠⁠⁠⁠Pilot NET Discord Server: ⁠⁠⁠⁠https://discord.gg/p3p8FUm9b4

In this episode of Gradient Dissent, Lukas Biewald talks with Martin Shkreli — the infamous "pharma bro" turned founder — about his path from hedge fund manager and pharma CEO to convicted felon and now software entrepreneur. Shkreli shares his side of the drug pricing controversy, reflects on his prison experience, and explains how he rebuilt his life and business after being "canceled."They dive deep into AI and drug discovery, where Shkreli delivers a strong critique of mainstream approaches. He also talks about his latest venture in finance software, building Godel Terminal “a Vim for traders", and why he thinks the AI hype cycle is just beginning. It's a wide-ranging and candid conversation with one of the most controversial figures in tech and biotech.Follow Martin Shkreli on TwitterGodel Terminal: https://godelterminal.com/Follow Weights & Biases on Twitterhttps://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server:https://discord.gg/CkZKRNnaf3

Arcadia June is coming, don't let it pass you by! We chat about photo libraries, Andrew is a bike guy again, and Martin shares a fun story about his son using the Mac! Ring the bell, a new One Prime Plus Dot Com member has entered the room! Stuff-ups and Shout-outs! 00:00:00 Imagine what Andrew said in those thirty seconds..

After a fiery encounter at the Scorched Grove, our heroes travel to the magical Avium for guidance. Featuring:Mark as the DM Joey as the Hedge Monk "Master Quilton"ShortStack as the Luma Bard "Perry J Coop"Bendy as the Mapach Druid "Vim"BoomCow as the Mapach Fighter "Rikki"Enjoy!Humblewood Campaign Setting by Hit Point Press: https://hitpointpress.com/Character art by "Mel the Honeybee": https://linktr.ee/melthehoneybeeMusic credits:The Rhythm of Humblewood. Copyright © (2023) Hit Point Press.Music by Command Creative Studios. HitPointPress.com Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/#DND #dungeonsanddragons #TTRPGPodcast: https://anchor.fm/lfrogdndYouTube: https://www.youtube.com/josephblanchetteBlue Sky: https://bsky.app/profile/josephlfrog.bsky.socialturesPatreon: https://www.patreon.com/legendaryfrog

Hej Somna.Detta är fortsättningen. Du vet, den där berättelsen om Vim och Vindel som började som ett romantiskt infall i Gamla stan och sen växte till ett helt epos med fäktning, kastanjer, kastanjekyssar och en baron som luktar vinbål. Det är alltså del två. Och ja, jag kanske gick lite... all in.Vi får följa hur Vim och Vindel famlar sig fram fram över klassgränser, passionerade blickar och nattliga räddningsaktioner. Bellman dyker upp, som någon slags romantikens ande, och dikter flyger som förälskade fjärilar. Det blir sabelstrid i kyrkan, droppande blod, kunglig intervention och kanske – bara kanske – ett lyckligt slut.Jag vet inte. Det blev stort. Men ibland måste man bara följa vågen bakom ögonen.Sov gott!Mer om Henrik, klicka här: https://linktr.ee/HenrikstahlLyssna utan reklam, få extraavsnitt, spellistor med mera på: https://somnamedhenrik.supercast.com/ Hosted on Acast. See acast.com/privacy for more information.

Então eu preferi não jogar. Mas, por fim, eu já também tenho que chegar discordando da Marina, que eu gostei da narrativa do Venba, porque eu não acho que a história é sobre o garoto, a história é sobre maternidade, a história é sobre as frustrações da Venba nessa empreitada doida que é ter um filho. Então eu achei a história bonita, ponto. E isso vai na mesma direção, embora por pontos muito distintos, do porquê eu gostei, do porquê eu não gostei de Inside. Eu achei o Venba um ótimo vídeo, mas eu vou deixar por aqui por enquanto. Não quero que vire mais um podcast só meu.Vim dizer que sobrevivi ao bloco de carnaval aqui na frente de casa. Siga o diálogo infinito sobre games via WhatsApp.Com João Varella, Alexandre Sato, Thomas Kehl, Marcos Kiyoto e João R2 analógicos

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In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor's creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow.Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years.⏳Timestamps:00:00 How Cursor got started and why it took off04:50 Switching from Vim to VS Code and the rise of CoPilot08:10 Why Cursor won among competitors: product philosophy and execution10:30 How user data and feedback loops drive Cursor's improvements12:20 Iterating on AI agents: what made Cursor hold back and wait13:30 Competitive coding background: advantage or challenge?16:30 Making coding fun again: latency, flow, and model choices19:10 Building Cursor's infrastructure: from GPUs to indexing billions of files26:00 How Cursor prioritizes compute allocation for indexing30:00 Running massive ML infrastructure: surprises and scaling lessons34:50 Why Cursor chose DeepSeek models early36:00 Where AI agents are heading next40:07 Debugging and evaluating complex AI agents42:00 How coding workflows will change over the next 2–3 years46:20 Dream future projects: AI for reading codebases and papers

Our heroes are summoned back to Alderheart to help with the growing threat of the Scorched Grove.Featuring:Mark as the DM Joey as the Hedge Monk "Master Quilton"ShortStack as the Luma Bard "Perry J Coop"Bendy as the Mapach Druid "Vim"BoomCow as the Mapach Fighter "Rikki"Enjoy!Humblewood Campaign Setting by Hit Point Press: https://hitpointpress.com/Character art by "Mel the Honeybee": https://linktr.ee/melthehoneybeeMusic credits:The Rhythm of Humblewood. Copyright © (2023) Hit Point Press.Music by Command Creative Studios. HitPointPress.com Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 3.0http://creativecommons.org/licenses/by/3.0/#DND #dungeonsanddragons #TTRPGPodcast: https://anchor.fm/lfrogdndYouTube: https://www.youtube.com/josephblanchetteBlue Sky: https://bsky.app/profile/josephlfrog.bsky.socialturesPatreon: https://www.patreon.com/legendaryfrog

Hej Somna.Jag var i Gamla Stan och blev förälskad. Inte i någon särskild, utan i själva idén om romantik. Så jag bestämde mig för att dikta upp en episk kärlekshistoria från 1700-talets Stockholm – du vet, hästspillning, ärtsoppa och träskor mot kullersten. En stad där tystnaden ännu kunde höras.Det här avsnittet, Somna, är början på berättelsen om Vindel och Vim – han från Södermalm, hon från salongerna på Djurgården. Det blir ett avsnitt i två delar, för jag gick kanske lite... in i det. Som både Vindel och Vim samtidigt, i ett kärleksrus av fjäderpennor och ögonkast. Det är höst i berättelsen, och det är höst i mitt hjärta.Och du vet vad? Det gör inget om det blir lite dåligt. Det finns höjd för att vara dålig. Ibland är det det vackraste som finns.Sov gott!Mer om Henrik, klicka här: https://linktr.ee/Henrikstahl Bli medlem i Somna med Henrik PLUS här: https://plus.acast.com/s/somna-med-henrik. Hosted on Acast. See acast.com/privacy for more information.

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Varun Mohan is the co-founder and CEO of Windsurf (formerly Codeium), an AI-powered development environment (IDE) that has been used by over 1 million developers in just four months and has quickly emerged as a leader in transforming how developers build software. Prior to finding success with Windsurf, the company pivoted twice—first from GPU virtualization infrastructure to an IDE plugin, and then to their own standalone IDE.In this conversation, you'll learn:1. Why Windsurf walked away from a profitable GPU infrastructure business and bet the company on helping engineers code2. The surprising UI discovery that tripled adoption rates overnight.3. The secret behind Windsurf's B2B enterprise plan, and why they invested early in an 80-person sales team despite conventional startup wisdom.4. How non-technical staff at Windsurf built their own custom tools instead of purchasing SaaS products, saving them over $500k in software costs5. Why Varun believes 90% of code will be AI-generated, but engineering jobs will actually increase6. How training on millions of incomplete code samples gives Windsurf an edge, and creates a moat long-term7. Why agency is the most undervalued and important skill in the AI era—Brought to you by:• Brex—The banking solution for startups• Productboard—Make products that matter• Coda—The all-in-one collaborative workspace—Where to find Varun Mohan:• X: https://x.com/_mohansolo• LinkedIn: https://www.linkedin.com/in/varunkmohan/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Varun's background(03:57) Building and scaling Windsurf(12:58) Windsurf: The new purpose-built IDE to harness magic(17:11) The future of engineering and AI(21:30) Skills worth investing in(23:07) Hiring philosophy and company culture(35:22) Sales strategy and market position(39:37) JetBrains vs. VS Code: extensibility and enterprise adoption(41:20) Live demo: building an Airbnb for dogs with Windsurf(42:46) Tips for using Windsurf effectively(46:38) AI's role in code modification and review(48:56) Empowering non-developers to build custom software(54:03) Training Windsurf(01:00:43) Windsurf's unique team structure and product strategy(01:06:40) The importance of continuous innovation(01:08:57) Final thoughts and advice for aspiring developers—Referenced:• Windsurf: https://windsurf.com/• VS Code: https://code.visualstudio.com/• JetBrains: https://www.jetbrains.com/• Eclipse: https://eclipseide.org/• Visual Studio: https://visualstudio.microsoft.com/• Vim: https://www.vim.org/• Emacs: https://www.gnu.org/software/emacs/• Lessons from a two-time unicorn builder, 50-time startup advisor, and 20-time company board member | Uri Levine (co-founder of Waze): https://www.lennysnewsletter.com/p/lessons-from-uri-levine• IntelliJ: https://www.jetbrains.com/idea/• Julia: https://julialang.org/• Parallel computing: https://en.wikipedia.org/wiki/Parallel_computing• Douglas Chen on LinkedIn: https://www.linkedin.com/in/douglaspchen/• Carlos Delatorre on LinkedIn: https://www.linkedin.com/in/cadelatorre/• MongoDB: https://www.mongodb.com/• Cursor: https://www.cursor.com/• GitHub Copilot: https://github.com/features/copilot• Llama: https://www.llama.com/• Mistral: https://mistral.ai/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• React: https://react.dev/• Sonnet: https://www.anthropic.com/claude/sonnet• OpenAI: https://openai.com/• FedRamp: https://www.fedramp.gov/• Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/• Amdahl's law: https://en.wikipedia.org/wiki/Amdahl%27s_law• How to win in the AI era: Ship a feature every week, embrace technical debt, ruthlessly cut scope, and create magic your competitors can't copy | Gaurav Misra (CEO and co-founder of Captions): https://www.lennysnewsletter.com/p/how-to-win-in-the-ai-era-gaurav-misra—Recommended book:• Fall in Love with the Problem, Not the Solution: A Handbook for Entrepreneurs: https://www.amazon.com/Fall-Love-Problem-Solution-Entrepreneurs/dp/1637741987—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

We've done hot takes episodes in the past but this is different, it's hot questions. Would we rather have bad managers who can code or good managers who can't? Too many comments or none? 80 columns or as long as you like? What editor do we use and why?   Vim for Fun or PeerTube version... Read More

We've done hot takes episodes in the past but this is different, it's hot questions. Would we rather have bad managers who can code or good managers who can't? Too many comments or none? 80 columns or as long as you like? What editor do we use and why?   Vim for Fun or PeerTube version... Read More

The beach episode approaches! After jailbreaks and microscopic misadventures. the gang tries to wind down with some sun and sea. As Regina prepares to tell them her story, will our crew be able to find any lead on the Iron Garden? And more importantly, will they survive Vim's pranks before then? Matcha digs her own grave. Moxie enters all-range mode. Roadkill goes thrifting. Silver makes some introductions.Thank you to our Patreon supporters: Austin Sietsema, Eleanor Lady, Daffodil, RiverSupportsArtists, Gnome, Creaux, James Knevitt, Rocky Loy, Tau, JC Darcy, Robert Ruthven, AlexCrow, Jordan Myers, Keenan Geyer, DragonGirlJosie, Shonn Briscoe, Andor, & Diana Plante!!Bring Your Own Mech is a biweekly Lancer RPG actual play podcast of four Lancers thrown together by circumstance, destiny... and credits.Featuring: Reed (⁠@ReedPlays) as the Game Master Amelia (⁠@amelia_g_music) as Matcha Aki (⁠@akinomii_art⁠) as Moxie Dusty (⁠@Dustehill⁠) as Roadkill Aubrey (⁠@MadQueenCosplay⁠) as ScarlettFind us on Bluesky ⁠⁠⁠@bringyourownmech.bsky.social, and remember: batteries are not included.Lancer is created by Tom Parkinson Morgan (author of Kill Six Billion Demons) and Miguel Lopez of Massif Press. Bring Your Own Mech is not an official Lancer product; it is a third party work, and is not affiliated with Massif Press. Bring Your Own Mech is published via the Lancer Third Party License. Lancer is copyright Massif Press. Support the official release at ⁠⁠⁠https://massif-press.itch.io⁠⁠⁠Support us on Patreon! ⁠⁠⁠https://www.patreon.com/bringyourownmech⁠⁠⁠Get the official season 1 album, Bring Your Own Mixtape vol. 1! ⁠⁠⁠https://ownmech.bandcamp.com/album/bring-your-own-mixtape-vol-1⁠⁠⁠DRC CUSTOM OUTFITTERS Download: ⁠⁠⁠https://ownmech.itch.io/drc-custom-outfitters-a-lancer-supplement⁠⁠⁠Pilot NET Discord Server: ⁠⁠⁠https://discord.gg/p3p8FUm9b4

Bem amigos do Pelada na Net, chegamos em definitivo para o programa 722! E hoje temos o Príncipe Vidane, Show do Vitinho e Maidana aprendendo novas siglas com Dudu. E neste programa comentamos a metida de louco que a defesa de Dudu incluiu no processo contra Leila Pereira que ressignificou VTNC como "Vim trabalhar no Cruzeiro", falamos sobre o escândalo envolvendo Bruno Henrique que foi indiciado pela Polícia Federal por envolvimento com esquema de apostas, analisamos tudo sobre o fim das quartas da Champions League em que o Arsenal despachou o Real Madrid e se classificou pras semis ao lado de PSG, Barcelona e Inter de Milão, além de muito mais! E não se esqueça de usar as Hashtags: #BRITAJR Entre em nosso site! https://peladananet.com.brSiga nosso Bluesky! @peladananet.com.brSiga nosso Twitter! @PeladaNETSiga nosso Instagram! @PeladaNaNetParticipe do nosso grupo no TELEGRAM! https://t.me/padegostosodemaisCompre nossos produtos na Podcast Store! Temos camisetas, canecas, ímãs, pôsteres, bottons e ecobags disponíveis! Titulares:Fernando Maidana – Twitter / Instagram / BlueskyVictor “Show do Vitinho” Raphael – Twitter / Instagram / BlueskyVitor “Príncipe Vidane” Faglioni Rossi – Twitter / Instagram / Bluesky Projetos paralelos:Jovem NerdMau Acompanhado – no Jovem NerdFeed do Mau Acompanhado no SpotifyDentro da Minha CabeçaReinaldo JaquelineCanal do Versão Brasihueira no YouTubePauta Livre NewsCanal do Victinho no YoutubeRede ChorumeFábrica de FilmesLegião dos HeróisNoites com Maidana Ouça também:Frango FinoPapo DelasRadiofobiaThe Dark One – PodtrashVortex – com Kat Barcelos Contribua com o Peladinha:Apoia.sePatreonOu através da nossa chave pix: podcast@peladananet.com.br Colaboradores de Março/2025!Fica aqui o nosso agradecimento pelo carinho, dedicação e investimento aos queridos: Adriana Cristina Alves Pinto Gioielli | Adriano Nazário | André Vinícius De Carvalho Costa | Fellipe Miranda | Fernando Costa Campos | Gabriel Machado De Freitas | Guilherme Rezende Soria | Gustavo Henrique Rossini | Heverton Coneglian De Freitas | Higor Nunes Resende | Higor Pêgas Rosa De Faria | Igor Leite Da Silva | Igor Zacarias Dos Santos | Ítalo Leandro Freire De Albuquerque | João Paulo Lobo Marins | Joao Pedro Barros Barbosa | Leonardo Delefrate | Luis Henrique Santos | Luiz Guilherme Borges Silva | Messias Feitosa Santana | Pedro Marcelo Rocha Gomes | Rafael Brandão Brasil | Rena Marcon | Renato Grigoli Pereira | Thais Cristine Cavalcanti | Vanessa Fontana | Welton Sousa Gouveia | André Stábile | Arthur Takeshi Gonçalves Murakawa | Brayan Ksenhuck | Bruno Burkart | Caio Mandolesi | Concílio Silva | Daniel Lucas Martins Lacerda | Davi Andrade | Fabio Simoes | Fabio Simoes | Filipi Froufe | Flavio Barbosa | George Alfradique | Gustavo Marques Leite | Heitor Dias | Igor Trusz | Jhonathan Romão | João Gabriel Paduan Tristante | Josué Solano De Barros | Leonardo Lachi Manetti | Listen2urs2 (Listen Tchu Iór Rârrtchi)) | Lucas Freitas | Luis Alberto De Seixas Buttes | Matheus De Sales Freitas | Pedro Lauria | Rafael Gomes Da Silva | Robson De Sousa | Rodrigo Pimentel | Tiago Vital Urgal | Tio Patux | Vander Carlos Ribeiro Vilanova | Vinicius Renan Lauermann Moreira | Vinicius Verissimo Lopes | Thiago Lins | Hassan Jorge | Diego Santos | Felipe Avelar | Leonardo Motta | Felipe Pastor | Bruno Franzini | David Gilvan | Luiz Strina | Adryel Romeiro | Aline Aparecida Matias | Antonino Firmino Da Silva Neto | Antonio Augusto Mendes Rodrigues | Bruno Kellton | Bruno Marques Monteiro | Carlos Eduardo Ardigo | Daniel Pandeló Corrêa | Elisnei Menezes De Oliveira | Evilasio Costa Junior | Felipe Brasil | Felipe Duarte | Fernando Bilhiere | Fernando De Araujo Brandão Filho | Gabriel Frizzo | Gabriel Lecomte | Gabriel Lopes Dos Santos | Gian Luca Barbosa Mainini | Jailson Gomes | João Pedro Machareth | Jose Wellington De Moura Melo | Leandro Jose De Souza | Leonardo Giehl | Luan Germano | Luca Vianna | Marcelo São Martinho Cabral | Marco Antônio Maassen Da Silva | Marianna Feitosa | Matheus Andion De Souza Vitorino | Matheus Bezerra Lucas Bittencourt | Maxwell Dos Santos Nelle | Pedro Bonifácio | Pedro Henrique Tonetto Lopes | Pollyana Bruno | Rafael Manenti | Rafael Matis | Rainer Almeida | Raphael Piccoli | Raphael Pini Bubinick | Rodrigo Oliveira Porto | Stéfano Bellote | Thiago Nogueira Marcal | Thomas Rodrigues | Tiago Weiss | Vinicius Athanasopoulos | Vinícius Lima Silva | Vinícius Ramalho | Vitor Carnelosso Varella | Vitor Motta Vigerelli | Wendel Ferreira Santiago | Wladimir Araújo Neto | Marco Antônio Rodrigues Júnior (Markão) | Leonardo Pimentel | Bruno Macedo | Aquila Barros Nogueira | Danilo Da Silva Pereira | Henrique Zani | Pedro Henrique De Paula Lemos | Victor Rodrigues | Daniel Moreira | Lucas Penetra | Lucas, O Fofo | Albert José | Raphael De Souza | Thiago Goncales | Daniel Ferreira De Lima Vilha | Felipe Artemio | Joseane Freitas Santos | Tatiane Oliveira Ferreira | Bruno Vieira Silva | Itallo Rossi Lucas | Isabelle Zacara Obrigado por acreditarem em nós! Comente!Envie sua cartinha via e-mail para podcast@peladananet.com.br e comente no post do Instagram com a capa deste episódio!See omnystudio.com/listener for privacy information.

“…Davi respondeu: Vim comprar sua eira e construir nela um altar para o Senhor, a fim de que Ele faça cessar a praga.” ( I Sm 24:21) Altar faz cessar juízo. Sacrifício muda realidades, mas altares não são construídos em terra estranha. O preço precisa ser pago, o penhor precisa ser investido para que haja legitimidade na posse da terra. Eu sou dono apenas daquilo que compro ou que ganho, e Davi entendia que uma construção dependia da posse de um território. Ele sabia que não poderia usar um altar ou tomar de sacrifícios que não fossem dele para ofertar ao Senhor. Ele disse para Araúna:”…não usarei holocaustos que não me custaram nada.” Existe um preço para o sacrifício. Nenhum altar é levantado sem perda, sem custo, sem renúncia. Quem compra, tem direitos. Quem paga, tem domínio. O preço foi pago na cruz, então o domínio das minhas terras não é meu, é Dele. Eu não posso tomar posse e ter o controle de algo que não comprei e não paguei. Quem compra, investe e um sangue valioso foi investido pela noiva. Ele tem o direito de domínio e o direito legal de controlar, dirigir e decidir os meus sonhos, meus projetos, meus propósitos e construir sobre eles um altar em seu nome. Então, que os céus assumam sua posse legal, e o Eterno edifique sobre mim o projeto de sua arquitetura mais linda.

Vim li cas thiaj muab ntxhais pauv ncuav pias? Nchaiv Khwb Xiong tawm tswv yim txog tias vim li cas thiaj muab ntxhais pauv ncuav pias lub caij Hmoob tsiv teb chaws Suav tuam tshoj los rau xov tshoj (Southeast Asia).

Choosing the right code editor can make or break a web developer's workflow. In this episode, we dive into the Top 5 Code Editors for Web Developers—exploring their strengths, quirks, and everything in between. From the widely-loved Visual Studio Code to the blazing-fast newcomer Zed, we discuss which editors could suit your coding style. Whether you're a fan of Vim's keyboard mastery, WebStorm's all-in-one features, or experimenting with modern tools like Cursor, there's something here for everyone. Tune in to find the perfect fit for your development journey! Show Notes: https://www.htmlallthethings.com/podcasts/top-5-code-editors-for-web-developers

In the news today: For our first story of the day focusing on campus news, Sunrise Movement protests federal policies, MSU's response. For our second story focusing on more campus news, Associated Students of MSU wrap up 61st general assembly session. For our final story of the day focusing on campus events, VIM fashion show gives a look 'Behind the Seams'.

Hanif Bali behöver ingen närmare presentation. Tolv år i riksdagen präglade av tydliga åsikter och orädd debatt har gjort honom till något av en badboy. Men hur bad är han egentligen? Vi pratade i nästan tre timmar om mycket och det finns inget bättre sätt att inleda säsong sex av Vi Måste Prata. Hosted on Acast. See acast.com/privacy for more information.

Vim li cas Nchaiv Khwb Xyooj thiab coob leej ntau tus Hmoob thiaj tau tuaj pib neej tshiab ntawm teb chaws Australia, thiab Hmoob tej kab lis kev cai puas tseem tseem ceeb rau yav tom ntej ntxiv lawm?

In this vibrant episode of The *(Relate)able Podcast, hosts Sherween and Fiona embark on an unforgettable journey to Guadeloupe to immerse themselves in the island's renowned Carnival. Captivated by the profound spiritual essence of the traditional masquerade ("mas"), they share their personal experiences and reflections. Sherween candidly discusses the physical challenges she faced, having underestimated the demands of the lively marches, while Fiona's dedicated training regimen paid off, allowing her to fully embrace each day's festivities. Both hosts have returned with a deep admiration and love for Guadeloupe's rich cultural heritage. In our "Under the Mango Tree" segment, listeners are treated to the enchanting sounds of the conch shell and drumming by the VIM mas band. Additionally, all three hosts find joy in reading and responding to heartfelt comments from our YouTube channel and other listener feedback.KarataGuadeloupe Tourism BoardAVPAGMarie GalantVoukoumSupport this show http://supporter.acast.com/relateable. Hosted on Acast. See acast.com/privacy for more information.

Send us a textIn this episode of CareTalk, John Driscoll sits down with Oron Afek, CEO of Vim, to discuss how Vim is transforming healthcare by creating a smarter, more connected ecosystem for doctors and patients. Oron shares his entrepreneurial journey, from his early days in the Israeli military to building a healthcare platform that integrates seamlessly with electronic health records (EHRs) to improve clinical decision-making. Learn how Vim's technology is helping doctors make better decisions at the point of care, streamlining workflows, and driving better patient outcomes, all while empowering developers to build innovative healthcare solutions.

DShield Traffic Analysis using ELK The "DShield SIEM" includes an ELK dashboard as part of the Honeypot. Learn how to find traffic of interest with this tool. https://isc.sans.edu/diary/DShield%20Traffic%20Analysis%20using%20ELK/31742 Zen and the Art of Microcode Hacking Google released details, including a proof of concept exploit, showing how to take advantage of the recently patched AMD microcode vulnerability https://bughunters.google.com/blog/5424842357473280/zen-and-the-art-of-microcode-hacking CVE-2024-56161 VIM Vulnerability An attacker may execute arbitrary code by tricking a user to open a crafted tar file in VIM https://github.com/vim/vim/security/advisories/GHSA-wfmf-8626-q3r3 Snil Mail Fake Ransom Note A copy cat group is impersonating ransomware actors. The group sends snail mail to company executives claiming to have stolen company data and threatening to leak it unless a payment is made. https://www.guidepointsecurity.com/blog/snail-mail-fail-fake-ransom-note-campaign-preys-on-fear/

Vim li cas thiaj ua lub koom txoos caij nkoj ua kev lom zem rau hnub sib hlub (Valentine's Day), ho muaj kev lom zem dab tsi, tej neeg tau koom xav li cas, thiab yog yuav ua lwm lub lwm zaus ntxiv no ho yuav ua txawv li cas ntxiv. Andrew Yang uas yog ib tug ntawm ntau tus uas tau npaj lub koom txoos no tawm tswv yim txog lub koom txoos no.

The trip into Vim's brain begins as the gang get shrunk down to mech-roscopic size. Amongst viruses, bullets, harsh words, thrown porcelain, and revelations abound, will the crew be able to save their friend? Matcha has a shocking discussion. Moxie bears witness. Roadkill has a brain blast. Silver knocks them down a peg.  Thank you to our Patreon supporters: Austin Sietsema, Eleanor Lady, Daffodil, RiverSupportsArtists, Gnome, Creaux, James Knevitt, Rocky Loy, Tau, JC Darcy, Robert Ruthven, AlexCrow, Jordan Myers, Keenan Geyer, DragonGirlJosie, Shonn Briscoe, Andor, & Diana Plante!! Bring Your Own Mech is a biweekly Lancer RPG actual play podcast of four Lancers thrown together by circumstance, destiny... and credits. Featuring: Reed (⁠⁠@ReedPlays⁠⁠) as the Game Master Amelia (⁠⁠@am_ridz_music⁠⁠) as Matcha Aki (⁠⁠@akinomii_art⁠⁠) as Moxie Dusty (⁠⁠@Dustehill⁠⁠) as Roadkill Aubrey (⁠⁠@MadQueenCosplay⁠⁠) as Scarlett Find us on Bluesky ⁠⁠⁠⁠⁠⁠@bringyourownmech.bsky.social⁠, and remember: batteries are not included. Lancer is created by Tom Parkinson Morgan (author of Kill Six Billion Demons) and Miguel Lopez of Massif Press. Bring Your Own Mech is not an official Lancer product; it is a third party work, and is not affiliated with Massif Press. Bring Your Own Mech is published via the Lancer Third Party License. Lancer is copyright Massif Press. Support the official release at ⁠⁠⁠⁠https://massif-press.itch.io⁠⁠⁠⁠ Support us on Patreon! ⁠⁠⁠⁠https://www.patreon.com/bringyourownmech⁠⁠⁠⁠ Get the official season 1 album, Bring Your Own Mixtape vol. 1! ⁠⁠⁠⁠https://ownmech.bandcamp.com/album/bring-your-own-mixtape-vol-1⁠⁠⁠⁠ DRC CUSTOM OUTFITTERS Download: ⁠⁠⁠⁠https://ownmech.itch.io/drc-custom-outfitters-a-lancer-supplement⁠⁠⁠⁠ Pilot NET Discord Server: ⁠⁠⁠⁠https://discord.gg/p3p8FUm9b4

#vi #vim #neovim ¿cual es el mejor editor #linux de los tres?¿cual elegir?¿que diferencias hay entre los tres?¿donde utilizar cada uno de ellos? Últimamente, tanto en en el grupo de Telegram como en el canal de YouTube hay una pregunta recurrente, que es ¿Que diferencias hay entre Vim y Neovim?. ¿Cual escoger para cada situación?. Así que esto me dio una idea para un episodio, y para lo cual ha sido necesario documentarme, claro. He querido añadir también al vetusto Vi, con el objetivo de que la comparativa sea lo mas exhaustiva posible, y que sepas cual es tu mejor opción en cada caso. En mi caso, particular, cuando decidí adentrarme en el mundo de Vi, lo hice directamente a Vim, y tengo que confesarte que me costó decidirme dar el salto de Vim a Neovim. Aunque este salto lo hice básicamente por dos aspectos que para mi resultaban importantes, el primero es el LSP, Language Server Protocol, y en segundo lugar por los complementos de Neovim, que al utilizar LUA como lenguaje de scripting facilitaba mucho la creación de estos. Así, en este episodio voy a intentar aclarar las diferencias entre Vi, Vim y Neovim, cuando elegir uno u otro y la razón para hacerlo. Más información y enlaces en las notas del episodio

Vim li cas thiaj ua lub koom txoos Hmong Melbourne sport car show 2024-25. Andrew Yang thiab cov hluas coj tsheb mus show muaj lus teb koj.

Vim li cas tej zaum sai sai tom ntej no ntshe peb yuav tau haus cov dej recycled waste water lawm?

The gang assesses the damage as Vim goes catatonic. Tensions run high as the Save Point doctors do their best to try and save Moxie's life, but is there a hope for a cure? And why is everyone laughing right now? Matcha hones her mime routine. Moxie enjoys tea time. Roadkill makes a house call. Scarlett gets pulled in for one last job. Thank you to our Patreon supporters: Austin Sietsema, Eleanor Lady, Daffodil, RiverSupportsArtists, Gnome, Creaux, James Knevitt, Rocky Loy, Tau, JC Darcy, Robert Ruthven, AlexCrow, Jordan Myers, Keenan Geyer, DragonGirlJosie, Shonn Briscoe, Andor, & Diana Plante!! Bring Your Own Mech is a biweekly Lancer RPG actual play podcast of four Lancers thrown together by circumstance, destiny... and credits. Featuring: Reed (⁠@ReedPlays⁠) as the Game Master Amelia (⁠@am_ridz_music⁠) as Matcha Aki (⁠@akinomii_art⁠) as Moxie Dusty (⁠@Dustehill⁠) as Roadkill Aubrey (⁠@MadQueenCosplay⁠) as Scarlett Find us on Bluesky ⁠⁠⁠@bringyourownmech.bsky.social, and remember: batteries are not included. Lancer is created by Tom Parkinson Morgan (author of Kill Six Billion Demons) and Miguel Lopez of Massif Press. Bring Your Own Mech is not an official Lancer product; it is a third party work, and is not affiliated with Massif Press. Bring Your Own Mech is published via the Lancer Third Party License. Lancer is copyright Massif Press. Support the official release at ⁠⁠⁠https://massif-press.itch.io⁠⁠⁠ Support us on Patreon! ⁠⁠⁠https://www.patreon.com/bringyourownmech⁠⁠⁠ Get the official season 1 album, Bring Your Own Mixtape vol. 1! ⁠⁠⁠https://ownmech.bandcamp.com/album/bring-your-own-mixtape-vol-1⁠⁠⁠ DRC CUSTOM OUTFITTERS Download: ⁠⁠⁠https://ownmech.itch.io/drc-custom-outfitters-a-lancer-supplement⁠⁠⁠ Pilot NET Discord Server: ⁠⁠⁠https://discord.gg/p3p8FUm9b4

Ina Wroldsen kommer ut av skapet i Hver gang Vi Møtes, John Arne Riise vil nok en gang vise sin egentlige personlighet i 16 ukers helvete, Sebastian Solberg går gjennom sitt personlige helvete etter brudd, og Dennis Poppe lager kunst av knuste spritflasker. Spritflasker kan for øvrig snart kan få advarsler om økt kreftrisiko.

ZFS Storage Fault Management, FreeBSD 14.2-RELEASE Announcement, I feel that NAT is inevitable even with IPv6, Spell checking in Vim, OpenBSD Memory Conflict Messages, The Biggest Shell Programs in the World, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines ZFS Storage Fault Management (https://klarasystems.com/articles/zfs-storage-fault-management-linux/?utm_source=BSD%20Now&utm_medium=Podcast) FreeBSD 14.2-RELEASE Announcement (https://www.freebsd.org/releases/14.2R/announce/) News Roundup I feel that NAT is inevitable even with IPv6 (https://utcc.utoronto.ca/~cks/space/blog/tech/IPv6AndStillHavingNAT) Spell checking in Vim (https://www.tumfatig.net/2024/spell-checking-in-vim/) OpenBSD Memory Conflict Messages (https://utcc.utoronto.ca/~cks/space/blog/unix/OpenBSDMemoryConflictMessages) The Biggest Shell Programs in the World (https://github.com/oils-for-unix/oils/wiki/The-Biggest-Shell-Programs-in-the-World) Beastie Bits The Connectivity of Things: Network Cultures since 1832 (https://direct.mit.edu/books/oa-monograph/5866/The-Connectivity-of-ThingsNetwork-Cultures-since) Initial list of 21 EuroBSDcon 2024 videos released (https://www.undeadly.org/cgi?action=article;sid=20241130184249) -current now has more flexible performance policy (https://www.undeadly.org/cgi?action=article;sid=20241129093132) OpenBSD 5.1 on Sun Ultra 5 (https://eggflix.foolbazar.eu/w/fa211a4f-6984-4c03-a6d2-b8c329d9459d) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/592/feedback/Phillip%20-%20regressions.md Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

פרק מספר 487 של רברס עם פלטפורמה - באמפרס מספר 85: רן, דותן ואלון באולפן הוירטואלי עם סדרה של קצרצרים שתפסו את תשומת הלב בתקופה האחרונה - בלוגים מעניינים, דברים מ- GitHub, וכל מיני פרויקטים מעניינים או דברים יפים שראינו באינטרנט וחשבנו לאסוף ולהביא אליכם.וכמיטב המסורת לאחרונה - גם לא מעט AI, כי על זה הצעירים מדברים בזמן האחרון.

In the final episode of 2024, Brian Delamont returns to the podcast to talk about transformed direction. Repentance isn't just a one-time event at the time of salvation but a daily surrender and redirection. Joel 2:12-13 “We can rationalize or explain just about anything in our behavior and our thinking rather than truly commit to a transformed direction.” “God is longing for us to genuinely change, for us to live lives fully integrated and aligned with Him.”  Hear more about VIM on Episode 157 Listen to “Come, Thou Fount” here and read more about the story behind the song here Acts 2 “Repentance is not a one time for all time thing, but it is an ongoing act of our relationship with God.” “To repent is turning from sin and turning to God.” “It's impossible to underestimate the power of a transformational change in direction. It can break generational patterns of behavior and bring freedom to entire family lines, entire communities.” A Long Obedience in the Same Direction by Eugene Peterson “God does give us moments, like mile markers along the way, that show us progress.” Mark 1:15 “Transformation is not me mustering up enough grit or resolve to somehow change my life. Rather, I become a new creation in Christ Jesus. And this is made possible through the very life of Christ, the Holy Spirit living in me, pouring His life into my life in every way.” December Reflection: What do I know needs changing? What do I need to repent of, so that I live fully into God's future for me in the coming year? What's changing our lives: Keane: Neighborhood friends Heather: Doing “sprint” work on projects with her team Brian: Eggnog in his coffee Weekly Spotlight: GDQ International Christian School We'd love to hear from you! podcast@teachbeyond.org Podcast Website: https://teachbeyond.org/podcast Learn about TeachBeyond: https://teachbeyond.org/ 

Monitoring your house with security cameras, automating a 3D printer, yet another note taking app, a great FOSS digital audio workstation, browser automation, converting Office documents to markdown, markdown in Vim, and why we think Raspberry Pi OS shouldn't change its default desktop environment.   Discoveries  motion & frigate Octoprint PSU control with Home Assistant... Read More

Monitoring your house with security cameras, automating a 3D printer, yet another note taking app, a great FOSS digital audio workstation, browser automation, converting Office documents to markdown, markdown in Vim, and why we think Raspberry Pi OS shouldn't change its default desktop environment.   Discoveries  motion & frigate Octoprint PSU control with Home Assistant... Read More

I'd write more here, but I've got places to be. Becky, Jeremy, and I are going to engage in some holiday festivities. We have a couple gingerbread houses to make and a tree to trim. And no nog to speak of. Really, that's all you get by way of show notes this time as a result, deal with it. Send your complaints to podcast@searls.co and they will be read on air. Some bullet points below the fold: My 90-minute, outdated guide to setting up a Mac Aaron's puns, ranked Jim Carrey is 62 and can't even retire I bought my 8 year old a switch and didn't realize how much games cost Teen creates memecoin, dumps it, earns $50,000 Startup will brick $800 emotional support robot for kids without refunds Install the Mozi app (manifesto here | app here) Vision Pro getting PSVR2 controllers The 2024 Game Awards news roundup Intergalactic: The Heretic Prophet looks badass, but is it too inclusive for The Gamers? We don't talk about Luigi An invisible desktop app for cheating on technical interviews (HN comments) Sora is out, but it's not good yet Indiana Jones and the Great Circle is out, and it is good yet Emudeck is so great it shouldn't be legal, and some people probably think it isn't Pikmin Stay tuned to my YouTube channel for upcoming LIVE streams Transcript: [00:00:00] Thank you. [00:00:29] Good morning, internet. [00:00:32] I started speaking before I realized, as an asynchronous audio production, it's actually pretty unlikely that it's the morning where you are. [00:00:43] Although, if it is the morning, coincidentally, please feel free to be creeped out, check over your shoulder. [00:00:51] Today was, I woke up with Vim and Vigor this morning, super excited to take on the day, thinking maybe I've got what it takes to record an audio production today. [00:01:07] And then we have an elderly coffee pot. [00:01:11] I don't want to completely put the blame on it because we were using it wrong for several years. [00:01:24] And it's a long story that I will shorten to say, any piece of consumer electronics or appliances in America, the half-life keeps decreasing. [00:01:37] And so when I say elderly coffee pot, I mean that we bought this coffee pot post-COVID. [00:01:42] And it's already feeling like, oh, we should probably get a new coffee pot, huh? [00:01:45] What happens is, from time to time, heat will build up in the grounds dingus. [00:01:55] I'm just realizing now that I'm like, you know, I'm not a coffee engineer. [00:01:58] Some of you are. [00:02:00] But, you know, of course, we all know that the dingus is connected to the water spigot, which is above the craft. [00:02:09] And what happens, as far as I can tell, is once in a while, you get all that hot water and grounds swirling around. [00:02:20] And if it clogs at all, like if it doesn't release just so, the whole little undercarriage, again, this is a technical term, just stay with me. [00:02:30] And we'll pop forward like three millimeters, which is just enough for the water to kind of miss its target on the craft and then spray all who's he what's it's, as well as for the spigot to start just kind of like splurring, you know, this water coffee slurry everywhere. [00:02:49] And so I went after, you know, but then you still get the triumphant ding dong sound that the coffee is ready. [00:02:56] So I walked over to the coffee expecting like, yes, it's the best, best way to start my day or whatever. [00:03:06] Pull out the coffee. [00:03:07] And the pot is too light. [00:03:10] And I had a familiarity of like what that means. [00:03:13] It means like there is water somewhere. [00:03:17] And it's not in this pot. [00:03:19] And so it's just like, you know, this big, big machine we actually have we've put because of our Mr. [00:03:26] Coffee's, you know, elderly onset incontinence. [00:03:33] We have we have put the entire coffee pot on a tray, like a rimmed silicone tray that you would use for like, I guess, a dog feeding bowl, right? [00:03:45] A dog, you know, messily eats food and slaps water around and stuff. [00:03:49] And you don't want it all over your hardwood. [00:03:50] Like you'd put this underneath that and it would catch some of the water. [00:03:53] So we I spent the first 30 minutes of my waking life today getting my hopes up that I was going to have coffee, followed by, you know, painstakingly carrying this entire cradle of of of coffee pot full of hot brown liquid. [00:04:10] That would stay in all of my clothes and, you know, get on the cabinets and stuff with a silicone underbelly thing. [00:04:18] And just kind of like, you know, we've got one of those big we're very fortunate to have one of those big farmers, farmer house, farmhouse. [00:04:25] I never know what to call it. [00:04:27] Steel, basically a double wide sink. [00:04:30] So what's nice about a double wide sink is that if you've got a problem in your kitchen and you're only a few steps away, whether it's the coffee pot part of the kitchen or the fridge or the freezer or the God forbid, the range or the oven, you can just sort of strategically hurl whatever it is you're holding just about into the into the sink. [00:04:51] And then once it hits the sink, it's, you know, the the the potential damage is limited. [00:04:57] So I gently hurled my coffee apparatus. [00:05:02] Is that the plural of apparatus? [00:05:04] One wonders into the into the into the sink and then spent the next 20 minutes, you know, scrubbing them and all to make another pot. [00:05:13] And Becky, of course, walks down the minute that the second pot is about to be finished. [00:05:18] And I'm like, I've already seen some shit and I'm going to go record a podcast now. [00:05:22] And that swallow you just heard was me having a sip of coffee that was not disgusting, but not great. [00:05:31] But I'll take it over where I was an hour ago. [00:05:39] Thank you for for subscribing as a as a true believer in breaking change. [00:05:47] We're coming up on one year now. [00:05:49] It's hard to believe that it's already been a year, not because this has been a lot of work or a big accomplishment, but just because the the the agony of existence seems to accelerate as you get older. [00:06:03] It's one of the few kindnesses in life and so as we whipsaw around the sun yet again, we're about to do that. [00:06:11] This is the 26th edition version 26 of the podcast. [00:06:17] I've got two names here to release titles and I haven't picked one yet. [00:06:22] So as a special. [00:06:24] Nearing the end of the year treat. [00:06:29] I'm going to pitch them both to you now, right? [00:06:31] So so we're in this together. [00:06:33] I like to think this is a highly collaborative one person show. [00:06:37] Version 26 rich nanotexture. [00:06:42] And that's a nod to the MacBook Pro has a nanotexture anti-glare screen coding option. [00:06:52] It's a reference to the rich Corinthian leather that was actually it's a Chrysler reference. [00:06:58] It's a made up thing. [00:06:59] There is no such thing as Corinthian leather, but like that's what they called their their seating. [00:07:03] And Steve Jobs referenced that as being the inspiration for I think it was the iPad calendar app. [00:07:13] With the rich Corinthian leather up at the top during the era of skeuomorphic designs back in 2010, 2009, maybe I can't remember exactly when they I think it's 2010 when he had his famous actually leather chair demonstration of the iPad. [00:07:28] Maybe the reason that that stood out to me was the car reference because it is it is an upsell. [00:07:34] The nanotexture $150 if you want to have a don't call it matte finish. [00:07:41] The other one, so that's option one, rich nanotexture. [00:07:46] And I didn't love it because I couldn't get texture. [00:07:49] I couldn't get the same Corinthian, right? [00:07:53] Like you want that bite, the multisyllabic bite that adds the extra, you know, the gravitas of a luxury good. [00:08:04] Yeah, texture just didn't have it for me. [00:08:06] But then if you change that word, it doesn't make sense. [00:08:08] So I mean, the other option two that came to mind version 26 don't don't by the way, don't think I'm going to edit this in post and fix it. [00:08:19] I will not. [00:08:20] I will ultimately land on one of these and that will be the title that you saw on your podcast player. [00:08:25] Or maybe some third thing will come to mind and then this conversation will be moot. [00:08:29] I do not think of this collaborative exercise. [00:08:32] Just imagine it's a it's a it's a quantum collaboration. [00:08:37] So by observing it, that's you actually took part. [00:08:41] You opened your podcast player and then the yeah, the entangled, you know, bits just they coalesced around one of these two names or some third name. [00:08:58] It's all just statistics version 26 Luigi's Mansion, which is a nod to two things at once. [00:09:05] I'm going to talk a little bit about GameCube, but also I'll probably not escape mentioning Luigi Manjoni Manjoni man. [00:09:15] You know, I haven't been watching the news. [00:09:17] I don't know how to pronounce his name, but it looks enough like mansion that I was like, oh, man. [00:09:21] I bet you there's a Nintendo PR guy whose day just got fucking ruined by the fella who is a overnight folk hero. [00:09:30] More attractive than most assassins, I would say. [00:09:35] Great hair. [00:09:36] Good skin. [00:09:37] Apparently, skincare Reddit is all about this fella who murdered in cold blood the CEO of UnitedHealthcare. [00:09:45] If you haven't caught the news, if you're even less online than I am. [00:09:51] And yeah, so I'm trying to decide. [00:09:53] I think Luigi's Mansion is probably going to win. [00:09:56] It's more timely. [00:09:57] It's the first time the name Luigi has come up in the last year. [00:10:00] And I may have mentioned nanotexture before when discussing Apple's very compromised studio display. [00:10:11] So I'm leaning Luigi's Mansion, but, you know, don't tempt me. [00:10:15] I might switch. [00:10:18] I'm going to just keep drinking coffee because I got to power through this. [00:10:21] Let's talk about some life stuff. [00:10:24] I so when we last talked that way back in the heady days of version 25, I had just gotten off a plane from Japan. [00:10:34] I was still a little bit jet lagged. [00:10:36] I recorded later in the evening. [00:10:38] I was tired. [00:10:39] You know, I was still overcoming. [00:10:41] I listened to the episode, realized I was overcoming a cold. [00:10:44] You know, then Becky shortly thereafter, after recording, she developed a pretty bad cough. [00:10:51] And so we've both been sleeping relatively poorly. [00:10:53] And I can't complain about this cough because her having a cough for four nights is nothing like me snoring on and off for over a year. [00:11:02] And I think the fact that her cough is consistent is actually a kindness compared to the sporadic nature of my snoring, where it's like I might go a week without it. [00:11:11] And then all of a sudden there's like, bam. [00:11:14] So she doesn't, you know, it's like sneaks up on her and that's not fair. [00:11:17] So so she's got a cough and I haven't been sleeping particularly well. [00:11:20] Maybe that's it. [00:11:22] I also, you know, I wanted to dry out because I was living on shoe highs, you know, canned cocktails in Japan for way too long. [00:11:30] Just drinking, you know, five whole dollars of alcohol every day, which is an irresponsible amount of alcohol. [00:11:36] It turns out. [00:11:40] Yeah, that's one nice thing about living in Orlando and theme park Orlando is that the average price of a cocktail here is seriously $20. [00:11:49] I think it is. [00:11:51] I am delighted and surprised when I find a cocktail under $20. [00:11:55] That's any good. [00:11:55] In fact, the four seasons right around the corner, their lobby bar has a some of the best bartenders in the state of Florida. [00:12:05] Like they went all kinds of awards. [00:12:06] And so when you say a lobby bar, you think it sucks. [00:12:09] But it's actually it's like it's a it's a restaurant with a room if you're ever around and they still do a happy hour with like $4. [00:12:18] It was $4 beers. [00:12:19] I think they finally increased to $5 beers draft beer. [00:12:23] And it's all craft. [00:12:25] You know, it's all fancy people stuff. [00:12:27] And they do it's I think it's $10 margaritas, French 75s, and they got some other happy hour cocktail. [00:12:37] It was highballs for a while. [00:12:39] Whiskey highballs was like probably centauri toki or something. [00:12:43] I gotta say like that $10 margarita. [00:12:47] They'll throw some jalapeno in there if you want some tahini rim, you know, they do it up. [00:12:52] They do it well. [00:12:54] But that might be the cheapest cocktail I've had in all of Orlando is at the Four Seasons. [00:13:01] Famous for that TikTok meme of the Four Seasons baby, if you're a TikTok person. [00:13:06] Anyway, all that all all this drinking talk back to the point. [00:13:11] I've been not drinking for a week. [00:13:12] And I, you know, I'm back to tracking my nutrients every day. [00:13:17] The things that I consume and adding up all of the protein and carbohydrate and realizing [00:13:21] if you don't drink, it's actually really easy to blow past one's protein goals. [00:13:25] And so I had one day where I had like 240 grams of protein, which is [00:13:28] enough protein that you'll feel it the next morning if you're not used to it. [00:13:34] And I still was losing weight. [00:13:38] I lost like five or six pounds in the last week. [00:13:43] And to the point where it was like, you know, I was feeling a little lightheaded, [00:13:47] a little bit woozy because I wasn't drinking enough is the takeaway. [00:13:52] So so thank God we got to go to a Christmas party last night. [00:13:57] It was it was great Gatsby themed. [00:13:58] And I dressed up like a man who wanted to do the bare minimum to not get made fun of at the party. [00:14:05] So I had some some suspenders on instead of a belt, which was the first time I ever put on suspenders. [00:14:13] They were not period appropriate suspenders simply because they had the, you know, the [00:14:18] little class B dues instead of how they had some other system for I don't I don't fucking know. [00:14:25] Like I, I had chat GPT basically helped me through this. [00:14:28] And it's like, hey, you want these kinds of suspenders? [00:14:30] I'm like, that sounds like an ordeal. [00:14:31] How about I just get some universal one size fits all fit and clip them in? [00:14:36] I also had a clip on bow tie. [00:14:37] So that worked. [00:14:39] When you think clip on bow tie, I guess I'd never used one before, but like it, I always [00:14:45] assumed it would just be like, you know, like a barrette clip that would go in front of the [00:14:49] front button and look silly for that reason. [00:14:51] And maybe that's how they used to be. [00:14:53] But it seems these days, if you want to spend $3 on a fancy clip on bow tie with a nice texturing, [00:14:58] I'll say, uh, it's just pre it's a pre tied bow with a still wraps around your neck. [00:15:04] It's just, it has a class mechanism, which seems smart to me, right? [00:15:08] I don't know what. [00:15:09] Look, if you're really into men's fashion, uh, there's this weird intersection or this tension [00:15:19] between I'm a manly man who, who ties my own shoes and, you know, kills my own dinner and [00:15:25] stuff. [00:15:25] And I, I, for fuck's sake, tie my own bow tie from scratch every day. [00:15:29] Right? [00:15:29] Like there's a toxically masculine approach to bow ties, but at the same time, it is such [00:15:35] a foofy accoutrement. [00:15:37] It's like an ascot, um, that the idea of like a manly man, like a man trying to demonstrate [00:15:43] his manliness by the fact that he doesn't use a clip on bow tie, uh, came to mind yesterday [00:15:50] when I was, uh, struggling even with the clasping kind. [00:15:54] I was like, man, I wish I could just get this to anyway. [00:15:58] Um, I had a vest at a gray vest. [00:16:03] This is all brand new territory for me. [00:16:05] Uh, yeah, I, I've, I've leaned pretty hard into the t-shirt and shorts and or jeans life [00:16:10] for so long. [00:16:12] Uh, the, the fella in front of us when we, when we were checking in, cause they took little [00:16:16] photos of you, uh, all of the women had the same exact flapper dress from Amazon, you know, [00:16:22] with the, the, the, the hairband thing with the, you know, fake, the polyester peacock tail. [00:16:28] Becky's looked the best. [00:16:29] I'm not gonna, I'm not even lying. [00:16:32] Uh, uh, her dress actually fit. [00:16:35] He had some, uh, very ill fitting flapper costumes that these women couldn't even move in. [00:16:40] Um, it was interesting. [00:16:42] Uh, but the, the fella in front of us at check-in was wearing a, a, a full blown, you know, tuxedo [00:16:48] get up that he brought from home. [00:16:50] And he was talking about, Oh yeah, well he's got two of them and his wife, you know, ribbed [00:16:54] him a little bit that he could only fit in one. [00:16:55] I was like, man, owning a tuxedo, that's nuts. [00:16:58] Like, and then it like turns out he's like got all these suits and these fancy clothes and [00:17:02] he's an older gentleman. [00:17:05] Uh, but my entire career only the first few years did I have to think about what I was [00:17:10] wearing and, and it never really got beyond pleated, you know, khakis and a starched shirt. [00:17:18] And, and I had, I had to wear a suit maybe on two sales calls. [00:17:22] Um, and they were always the sales calls that were just, uh, there were certain sales demos [00:17:30] when I was a, a, a baby consultant, these really complex bids. [00:17:39] I remember we were at cook County once, uh, uh, the, the county that wraps Chicago and it [00:17:44] has a lot of functions and facilities that operate at the county level. [00:17:48] So, but of course we're in Chicago in some, you know, uh, dystopian office building. [00:17:54] That's very Gothic, I should say. [00:17:57] And the, the solution that we were selling was a response to a bid around some kind of [00:18:05] document, electronic document ingestion and, and, and routing solution. [00:18:09] And so what, what that meant was it was like a 12 person team. [00:18:14] It was a big project working on this pitch. [00:18:18] And most of the work and most of the money came from the software side at the end of the [00:18:23] process. [00:18:23] It's like, you're going to get IBM file net and you're going to get all these different, [00:18:26] uh, enterprise tools. [00:18:28] And we're going to integrate, uh, with all your systems and, and build these custom integrations [00:18:32] that you've asked for here and here and here. [00:18:33] But the, the, the hard part is the human logistics of how do you get all of their paper documents [00:18:41] into the system. [00:18:42] Uh, and that was my job was I had to get paper and then scan it, uh, with a production, big [00:18:50] Kodak funkin fucking scanner. [00:18:52] Uh, and then use, what was it? [00:18:54] Kofax capture or something like a, like an OCR tool of the era. [00:18:59] And the thing about it is that scanning is not, was not ever a science and neither is [00:19:07] OCR, the OCR stuff and OCR stands for optical character recognition. [00:19:10] So you'd have a form and you'd write on the form, like, you know, uh, uh, uh, uh, some, [00:19:15] some demo address and name and all this. [00:19:19] I spent. [00:19:22] So like the people doing the software, like they, they could just like click a button and [00:19:26] like, they could even just use fakery, right? [00:19:29] Like, Oh, the API is not really there, but I'll always return this particular, like, let's [00:19:33] call it an XML soap message. [00:19:34] And so the, the software guys clocked in, clocked out, got back to their billable work. [00:19:39] I, because the stakes were so high in this particular, uh, and I'm here right now explaining [00:19:46] all of this nonsense because I had to wear a suit and that was also really bad, but I [00:19:51] was in Chicago late at night with a group of like, at that point it was like 9 PM and it [00:19:54] was just me and two partners. [00:19:56] Cause the partners had a sickness called avoid family, stay at work. [00:20:02] And, uh, I, I was just running over and over and over again where I'd like, you know, [00:20:09] I'd take the paper, I'd put it through the scanner and it would get 90% of the OCR stuff [00:20:13] done, or I'd get it perfect. [00:20:15] And it would scan everything just right, which would result in the downstream, you know, after [00:20:21] the capture, like all of my integrations, like would route it to the right thing. [00:20:24] So that like, it was basically a game of mousetrap or dominoes where like my task was both [00:20:29] the most important to being able to demonstrate, but also the most error prone, but also the [00:20:37] least, uh, financially like, um, valuable to, to our services company. [00:20:42] And so I had no support, uh, on top of that, they, the, our fucking it people pushed out some [00:20:49] kind of, um, you know, involuntary security update security and bunny quotes that, that [00:20:57] slowed my system down dramatically in the course of just like a day. [00:21:01] And I had, I had no way to test for this. [00:21:04] So I remember I was up at like 11 PM at that point, trying to make this work consistently [00:21:10] and realizing that the only way to get it to run it all required me to, um, install a virtual [00:21:16] machine, put windows in the virtual machine, install all this software inside that virtual [00:21:22] machine, and then run it there because only in the black box of an encrypted virtual machine [00:21:27] image or, uh, you know, a virtual machine, like disc image, could I evade all of the accountant [00:21:33] bullshit that was trying to track and encrypt and, and, and muck with files and flight and [00:21:38] so forth. [00:21:39] And so it was only around like probably one 30 or two that I got to bed and our, our demo [00:21:46] was like at seven in the morning and I had to wear a suit. [00:21:47] So if you ever wonder, Hey, why is Justin always just in a, a t-shirt and shorts? [00:21:54] Uh, I would say childhood trauma, fuck suits. [00:21:59] The only, the only time I associate like nice clothes, you know, having a lot of [00:22:03] having to dress up is church shit. [00:22:05] I didn't want to go to. [00:22:06] And usually it's like the worst church shit. [00:22:09] Like there's some cool church shit out there, you know, youth group where everyone's a horny, [00:22:14] right. [00:22:15] And singing pop songs to try to get people in. [00:22:17] That's as church shit goes, that's above average. [00:22:21] But when you're talking about like, Hey, you know, this aunt you've never heard of died and [00:22:27] we got to go all the way to goddamn Dearborn to sit in a Catholic mass, that's going to [00:22:32] be in Latin. [00:22:33] And they're going to, you know, one of those, you know, you should feel bad for him because [00:22:39] he's abused. [00:22:39] But one of the altar boys, he's going to be waving that little like incense thingy, [00:22:43] the jigger back and forth and back and forth like a metronome. [00:22:46] And, uh, you're going to get all this soot in your face, all of that, you know, frankincense [00:22:51] and myrrh and whatever the fuck they burn. [00:22:52] And, uh, yeah, then they're going to play some songs, but they're not going to be songs you [00:22:57] want to hear. [00:22:57] And you're going to be uncomfortable because I bought you this suit at JC Penny when you [00:23:01] were like nine and you're 12, you're 12 now, and you've gained a lot of weight, but [00:23:06] here we are. [00:23:07] And then you got to go and, you know, like, don't worry because after the service, there's [00:23:12] a big meal, but it's mostly just going to be, you know, styrofoam plates and plastic forks [00:23:16] and, uh, cold rubbery chicken. [00:23:19] And then a whole lot of family members who want to pinch your cheeks, uh, had an aunt that [00:23:24] always wanted to, um, put on a bunch of red lipstick and kiss me and leave kiss marks. [00:23:30] And she thought that was adorable and everyone else thought it was funny. [00:23:33] And for whatever reason, I wasn't a fan, uh, that's the kind of, uh, yeah, so anyway, moving [00:23:45] right along the, uh, the, the other than having to dress up, the, the Christmas party was really [00:23:50] nice because it had an all you can drink martini bar. [00:23:52] So that, that helped that took the edge off a little bit since I hadn't been drinking for [00:23:57] the previous week. [00:23:57] Uh, and it was, you know, uh, they, they had a great bartender, the, the, I assume that [00:24:07] that people drank gin martinis back in the day of Gatsby, but it seemed to be a vodka forward [00:24:12] martini bar, which I appreciated. [00:24:15] Uh, as I get older and my taste buds start dying, uh, I found myself going from dry martinis [00:24:23] to martinis with an olive to martinis with two olives to me asking for like a little bit of [00:24:30] olive juice and then drinking the martini and realizing that wasn't quite enough olive juice. [00:24:34] So that's just disgusting, but, um, it's where, uh, it's one of the signs of age, I guess. [00:24:43] Uh, so the martini bar was good. [00:24:46] Uh, they also had an aged old fashion that they'd made, you know, homemade, um, with like nutmeg [00:24:51] and cinnamon in there. [00:24:52] That was impressive. [00:24:53] Uh, so yeah, had a, had a big old Christmas party last night, had a couple of drinks, uh, [00:25:00] and, and, uh, because of the contrast, whenever I go, you know, go a week without any alcohol [00:25:06] and then I have some alcohol and then I wake up the next morning and I'm like, oh yes, I [00:25:11] know what people mean now that alcohol is poison. [00:25:13] And it's a mildly poisonous thing because I feel mildly poisoned. [00:25:19] Um, and, and I just usually feel that most days until I forget about it. [00:25:23] So it's a data point, uh, to think about, uh, uh, I, I, I had a good, good run for, [00:25:30] for a while there, just cause like when you live in a fucking theme park and there's nowadays [00:25:34] alcohol everywhere that I go and every outing, I had a good run for a few months. [00:25:40] Um, not last year, the year before where I just didn't drink at home as a rule to myself. [00:25:46] I was like, you know, I'm not going to pour any liquor for myself at home unless I'm entertaining [00:25:49] guests. [00:25:50] And, uh, even then go easy on it because I I'm, I'm, I'm going to just the background radiation [00:25:56] of existence in when you live in a bunch of resorts. [00:25:59] Uh, I'll, I'll get, I'll get, I'll get plenty of alcohol subcutaneously. [00:26:05] Um, a contact tie. [00:26:07] So maybe I'll, maybe I'll try that again. [00:26:10] I don't know. [00:26:11] It's the stuff you think about in mid December when you're just inundated with specialty food [00:26:17] and drink options, uh, do other life stuff that isn't alcohol or religion or clothing [00:26:27] related. [00:26:28] Oh, uh, uh, I've been on a quest to not necessarily save a bunch of money, not necessarily. [00:26:35] Uh, I was going to say, uh, tighten my belt, but, uh, I don't know what the suspender equivalent [00:26:43] is because I did not wear a belt last night. [00:26:45] I just wore suspenders. [00:26:46] Uh, I've been interested in, in not budgeting either. [00:26:52] Just, I think awareness. [00:26:54] Like I want, I know that a lot of money flies through my pockets every month in the form of, [00:27:01] um, SAS software subscriptions and streaming services. [00:27:05] I mentioned this last, uh, last go round that I was recommending, Hey, let's say, go take a [00:27:11] look at like our unused streaming subscriptions of those. [00:27:14] Uh, yesterday I did cancel max. [00:27:16] Cause I realized that, uh, if I'm not watching a lot of news, I'm not going to watch John Oliver [00:27:20] and, and they frankly, a lot of HBO's prestige shows haven't been besides they cut a Sesame [00:27:28] street and it just so happened that I canceled that day. [00:27:31] So maybe there's a, some data engineer at HBO who's like, Oh man, people are canceling because [00:27:37] we got rid of Sesame street. [00:27:38] Uh, that would be good. [00:27:40] That would be good for America to get that feedback. [00:27:43] Uh, yeah. [00:27:44] I just want awareness of like, where's the money going and in what proportion and does that sound [00:27:50] right to me? [00:27:50] Uh, and I've, there are software tools for this. [00:27:53] Uh, they are all compromised in some way. [00:27:57] For example, we just, uh, we'd used lunch money in the past, which is a cool app. [00:28:02] And it has the kind of, you know, basic integrations you would expect. [00:28:06] I don't know if it uses plaid or whatever behind the covers, but like you, you connect your, your, [00:28:11] your checking accounts, your credit card accounts. [00:28:14] It lists all your transactions is very, um, customizable in terms of rules that you can [00:28:21] set. [00:28:21] It has an API. [00:28:22] Jen is a solo co-founder and she seems really, really competent and lovely and responsive, [00:28:27] which are all great things. [00:28:29] But the UI is a little clunky for me. [00:28:32] I don't like how it handled URLs. [00:28:33] It was like, once you got all the transactions in there and, and set up, it didn't feel informative [00:28:41] because there wasn't like a good reporting or graphs that just kind of at a glance would [00:28:45] tell you, this is where your money's going. [00:28:46] At least for me. [00:28:47] Uh, additionally, like it, it can't do the Apple card. [00:28:51] That's the, that's become the crux for a lot of these services is that, um, Apple card [00:28:55] only added support for reading. [00:28:59] Uh, well now you can read, uh, uh, so I, Apple added away on iOS and specifically iPhone [00:29:07] OS to read, uh, transactions from Apple card, Apple savings and Apple cash. [00:29:14] And this was like nine months ago, if that, but copilot, uh, money is one of two apps maybe [00:29:22] that supports this. [00:29:23] And so if you, if you have, we have, we each have an Apple card and we use it for kind of [00:29:29] our silly stuff whenever we're, you know, using a tap to pay. [00:29:33] So, so if, if you want to track transactions and you don't want to manually export CSVs [00:29:40] from your wife's phone every 30 days, which is the process that I'd fallen into with, with [00:29:44] lunch money, then you, you basically have copilot money. [00:29:50] And then there's another one, maybe Monarch, uh, the copilot money. [00:29:53] People are always talking about this other app called Monarch. [00:29:55] I haven't checked it out. [00:29:55] I don't know if that's why they like it or if it's just the other one that's being developed [00:29:59] right now in this post mint apocalypse, as we all grapple with the fact that mint was [00:30:04] always bad, uh, but people got into it and I don't copilot money is like nice, but like [00:30:11] it, like, for example, like if I'm, uh, if I buy a, uh, if I put $10, the equivalent of [00:30:19] $10, so 1000 yen on my Starbucks card in Japan, which is totally separate because of course it [00:30:25] is there's two Starbucks cards. [00:30:27] There's the one in Japan and then the one in the rest of the world. [00:30:30] So you open the Japanese only app, you put a thousand yen on it. [00:30:33] Uh, you pay for that with Apple pay. [00:30:36] So which goes to my Apple card and copilot money will read that transaction. [00:30:40] But if you read like the text in the merchant description, it's literally like [00:30:44] staba day and it's like all no spaces. [00:30:47] It's just like 40 characters in a row to, and if you really squint, you can kind of see [00:30:52] Starbucks, Japan, um, you know, app store payment, which is, you know, like I want to [00:31:00] change that to Starbucks, Japan, and then set up a rule to just like always change that. [00:31:05] So I don't have to like memorize these random ass merchant names. [00:31:08] Uh, apparently like after, after two hours of setting up copilot money yesterday, I realized [00:31:13] that there's like both no way to set up that kind of rule. [00:31:16] The only rule that it supports is categorization of, of spending fine, but then if you set [00:31:22] up a rule and you don't like it, there's no way to edit the rules cause there's no UI for [00:31:25] rule editing. [00:31:26] And so then, you know, where do you go, but read it and you're like, okay, well there's [00:31:30] a subreddit. [00:31:30] And then like, what's half the post in the subreddit? [00:31:32] It's about, Oh, of course it's a bunch of dads who are like, I can't see my rules and I have [00:31:36] to contact support. [00:31:37] And it's been nine months. [00:31:38] And I was like, Oh God. [00:31:39] So that's, uh, if anyone's got any great budgeting software that supports Apple card, you let me [00:31:46] know. [00:31:47] Uh, and also isn't a part-time job. [00:31:50] I'm not gonna, I'm not gonna spend all day on this. [00:31:52] I'm not, I'm not gonna, I'm gonna check in on this, uh, the four times a year that I, that [00:31:58] I wake up in a cold sweat wondering, Oh my God, how many subscriptions do I have? [00:32:02] Which is, uh, I, I really missed my calling by not being a dad, I guess. [00:32:07] But it did land me on looking at rocket money. [00:32:11] Uh, so, so, so there was an app called true bill that marketed heavily with like a lot of [00:32:19] other DTC apps where the pitch was, we will negotiate your bills for you. [00:32:26] And by bills, I think that one of the reasons why this, this, this business probably struggled [00:32:31] is that there's really only two that they could reasonably negotiate on your behalf. [00:32:37] You know, you, you imagine they've got a call center or they've got people who've, who [00:32:40] are trained, who have scripts that they follow, who, who will doggedly keep calling back until [00:32:44] they get what, you know, the discount, the, just the steps that you would have to go through [00:32:48] if you wanted to call Comcast or Verizon, they, they, they, they can basically could basically [00:32:57] only really negotiate your ISP and your cell phone carrier. [00:33:01] Cause those are the two sort of, you know, that are, that are transactional enough that [00:33:08] are regionalized or nationalized enough that they, that they could train on. [00:33:11] And then of course, like they, they're the ones that like get you in with a teaser rate and [00:33:15] then gradually turn up the heat over the course of a couple of years. [00:33:19] Well, Quicken Loans bought, they rebranded as rocket and then rocket fill in the blank [00:33:26] with other products. [00:33:26] And they bought true bill around the same time. [00:33:29] And I, my understanding from a distance is that true bill, uh, uh, that became rocket money [00:33:36] in order to be an entree into other rocket star services. [00:33:41] So like you, you now, when you install rocket money, it's still got the negotiation thing. [00:33:46] Cause that's what they market it on, but you have to slog through so much like, no, I'm actually [00:33:52] all set with credit and, and, and, and debt repayment services. [00:33:57] And I'm, I'm already all set with financial advisors and retirement goals. [00:34:00] I just get me to the, to the thing where I can pay you 35% of whatever you save me on [00:34:06] my ISP bill. [00:34:07] And so of course, you know, like I, I, I signed up for the first time, went through the app [00:34:12] onboarding. [00:34:13] I was not impressed with the bugginess of the app, but I was able to soldier on through [00:34:19] it. [00:34:19] And where I landed was I was, uh, following its little setup wizard for first. [00:34:27] Spectrum, which is my internet provider. [00:34:28] And I was, I'd initially paid a hundred dollars when I moved here in 2021, uh, a month for, [00:34:36] for one gig down, call it 30 megabits per second up. [00:34:40] And I can't get a, another ISP here. [00:34:43] They had an exclusive agreement. [00:34:44] They're building neighborhoods bullshit. [00:34:47] Uh, and I, I, so I can't get higher upstream and that really gets in my crawl. [00:34:53] Nevertheless, they have increased prices about $15 a year. [00:34:59] Each time I'm here to the point now where I think my monthly, you know, debit is like $150, [00:35:05] $145 and you fill it out and you give them your pin number. [00:35:11] You got this customer pin that like, you know, is secures your account. [00:35:14] I'm like, eh, all right, well, that's four digits, you know? [00:35:17] And besides I'm already on like this one dead simple plan. [00:35:20] It's just their normal plan. [00:35:22] And it's, you know, like I'm paying top dollar for it. [00:35:26] So what's the worst that they could do if they, if somebody else were to call and change [00:35:30] my plan up, you know, like it, it wouldn't cause that much lasting damage. [00:35:34] Cause it's not like I'm on some teaser rate. [00:35:36] It's not like I've got a great deal as it is. [00:35:38] So I let them do it. [00:35:39] And three days later, I had low expectations, right? [00:35:42] Cause you go on Reddit, speaking of Reddit, you go on and you, you search other people's [00:35:46] experiences and people will say, oh yeah, well like the, you know, I, some of them are [00:35:52] pretty hyperbolic. [00:35:53] It's like, you know, like they, they changed my plan to this and now I'm stuck with this, [00:35:57] you know, TV subscription for the next four years. [00:35:59] And then they charged me a thousand dollars in imagined savings that never materialized. [00:36:03] I'm like, shit. [00:36:04] All right. [00:36:04] Well, that's, that's not good. [00:36:06] But I, I gave them a shot. [00:36:08] They came back three days later and they said, congratulations. [00:36:12] We saved you $859. [00:36:14] I was like, what the, excuse me over the next 12 months. [00:36:18] And it turned out that they got me from $142, $145 down to 70 flat. [00:36:25] You multiply that by 12 and then indeed comes out to eight something. [00:36:28] And I was like, damn. [00:36:29] All right. [00:36:30] And so I've been, I've been looking for the other shoe to drop like ever since, like something [00:36:36] is fishy here. [00:36:37] Like I, they didn't sign me up for other services. [00:36:39] I did receive, I'm looking over at it now. [00:36:43] I did receive a relatively large box that has a, you know, one of those wifi modem router [00:36:50] combo units in it. [00:36:51] That was partly like apparently part of the deal. [00:36:54] I don't know if they canceled my service and then in one fell swoop also signed me up for [00:36:58] service. [00:36:58] But now I've got this gigantic fucking wifi thing that wouldn't even fit in my patch box [00:37:02] if I wanted it, which I don't. [00:37:04] So I'm, I'm, I'm currently in this ether of like, well, if my modem that I rent is still [00:37:11] going to work, I rent for $0. [00:37:14] It's one nice thing about spectrum. [00:37:15] If my modem that I rent is still going to work, uh, maybe I can just keep this wifi thing in [00:37:20] the box and not call anyone. [00:37:22] And maybe everything will keep working and I'll pay the $70 a month, or maybe I should send [00:37:27] the other one back, but then that might trigger some other thing. [00:37:30] Right. [00:37:30] I, so look like, do I recommend the service? [00:37:36] I don't really, I don't, we'll see. [00:37:38] Right. [00:37:39] Like call me in a year. [00:37:40] I should set a reminder. [00:37:41] Oh, I'm sure if something bad happens, I'll, I'll be right on the airwaves screaming about [00:37:47] it. [00:37:47] Like I, like I do, but even after this experience, saving me a lot of money, like what I trust [00:37:53] them with my T-Mobile account, right. [00:37:54] Where I have been grandfathered in on what was called the one choice plus plan in 2014 [00:38:01] or whatever. [00:38:02] And it's genuine, honest to God, unlimited data without any real throttling. [00:38:08] As far as I can tell, until you get to some absurdly high number where you can watch your [00:38:12] videos in HD on your, you know, like, like it's, it's, it's a good one. [00:38:16] It's better than their magenta crap. [00:38:18] Um, and a lower price than their magenta max thing. [00:38:21] Well, we got three lines. [00:38:22] You got, you know, the watches and I would love to pay less for that, but I just don't [00:38:27] try like you, you, you fill out the rocket money form, uh, with the, uh, the, the, it wants [00:38:34] your T-Mobile, like login information. [00:38:36] And that's, that was a bridge too far for me. [00:38:40] I got there and I was like, you know, I could just imagine this going poorly. [00:38:44] You know, these plans are so complicated and feels like even when I call T-Mobile and I [00:38:48] ask, Hey, how's the weather? [00:38:49] Like they click a button and it fucks up my shit for two weeks. [00:38:52] So I'm, I'm, I'm good. [00:38:55] I can probably afford a cell phone bill. [00:38:57] Uh, I just, I just would prefer not to have to pay it. [00:39:01] Only one other life item in the last week, I was given a special opportunity. [00:39:11] Um, I've talked about massages a couple of times on this program and the, uh, I mentioned, [00:39:15] uh, the one I went, uh, the one I had most recently in a previous episode, I, I, I was, I was wrapping [00:39:29] up my massage with a human like you do. [00:39:31] And the human said, have you, have you tried our robot massage? [00:39:36] And, uh, I didn't know how to take that. [00:39:38] And I said, I, I've heard of it. [00:39:41] I know Becky tried it. [00:39:43] If you check Becky's, um, Becky Graham, you'll see, uh, there's a video of her, uh, getting [00:39:48] felt up by a robot. [00:39:50] Uh, I forget the name of the company, but it's, it's, uh, it's like a robot that tries to simulate [00:39:59] the experience of a human massaging you. [00:40:02] So it's, uh, you're on a bed, you're face down. [00:40:06] It's, uh, got arms that kind of go back and forth, uh, on a track and they, they push and [00:40:13] whatnot. [00:40:13] And it kind of reminds me of the white birthing robot from star Wars episode three at the end [00:40:21] when, when Luke and Leah are being born, it does everything short of make the cooing [00:40:26] sounds to get the babies to calm down. [00:40:28] You know, like I, you do have a tablet and you can, you can pick out these pre-baked Spotify [00:40:34] playlists while it's pushing on you. [00:40:36] Anyway, all that to say, I signed up, um, mostly cause it was free. [00:40:41] So I had a 30 minute trial and, uh, the fact is trying to imitate humans was really interesting [00:40:49] to me because I had just spent a month in Japan, uh, getting, uh, what'd you call it? [00:40:54] Uh, massage chairs, our hotel chain that we stay at has always has massage chairs and even [00:41:01] bad massage chairs in Japan are pretty intense. [00:41:03] Uh, uh, but, but good ones are just like, you know, you go in there and it's just like, [00:41:09] I'm sure there's been, you've probably seen a horror movie image, right? [00:41:13] Where it's like, you sit in a chair and then like 25 hands grab all the parts of your body [00:41:18] simultaneously and that is meant to be horrific. [00:41:20] But if those hands, if there was some nice music playing and it was illuminated and those [00:41:25] hands were massaging you simultaneously all over your body, maybe it would be pretty, pretty [00:41:29] great. [00:41:29] And so that's what a Japanese massage chair is like. [00:41:33] Cause they, they don't have this arbitrary conceit that a massage must happen in a format [00:41:39] that resembles how it would happen if a single human on a bed surface was rubbing your tiddly [00:41:45] bits, which is what this robot is. [00:41:49] Right. [00:41:49] And so it's trying to think of another analog, right? [00:41:55] Like where we, we kind of retain the artifice of the way that it used to be before we automated [00:42:00] it. [00:42:00] And, and in some, sometimes we do that to keep people being comfortable like that rich [00:42:05] Corinthian leather. [00:42:06] It's like, we wanted to look like a traditional calendar. [00:42:08] So people know what they're looking at instead of just a bunch of boxes. [00:42:11] It's like, Oh yeah, this looks like a placemat style calendar that I would have had on my desk. [00:42:15] And then eventually that ages out. [00:42:16] And the younger people are like, I've never seen a calendar on a desk, even though my dad [00:42:20] grew up with one, you know? [00:42:24] So maybe that's it, right? [00:42:25] Like, like sometimes that's why we would have a robo massage that like, you know, pressures [00:42:31] and needs you, you know, kind of with just the two arms up and down in particular points, [00:42:35] sometimes at the same time, sometimes just one arm, you know, it's, it's, it's less efficient [00:42:41] is my immediate frustration. [00:42:43] Cause it's like, you could have 45 fucking arms going to town all over my body and I'd [00:42:49] get way more work done in 30 minutes. [00:42:52] Right. [00:42:52] Cause I'm just trying to min max my existence, but instead by, by, by, by imitating a human [00:42:59] massage, like nothing is really gained because I can't see it. [00:43:03] I'm facedown. [00:43:04] I'm looking at a silly tablet and watching imagery, imagery of forests and, and, and ocean waves [00:43:10] and whatnot, and I'm kind of getting a, you can look at a weird overhead view of what [00:43:14] your body is looking at, looking like right then, you know, like it scans your body and [00:43:19] then has like a little illustration of like, here's where I'm pushing you. [00:43:21] Here I go. [00:43:22] It's, it seems more to me like they designed this, you look at this unit and it's just like, [00:43:31] this has got to cost at least 15 grand. [00:43:34] This is an expensive, complicated piece of equipment. [00:43:38] It feels like a lack of imagination, uh, to, to somebody had the idea, let's take human [00:43:47] masseuses out of the equation and just make a robo masseuse thing that we could put in spas [00:43:53] when, uh, you'd actually have a better experience. [00:43:56] It would be cheaper. [00:43:57] And there's like more prior art at Panasonic or these other companies in Japan. [00:44:01] If you just made a, you know, massage chair, but that would be boring, I guess. [00:44:08] Uh, and massage chairs, like you, you hear the word massage chair right now as you're listening. [00:44:13] And if you haven't had like a real one, you know, at a Japanese Denki-yasan on the third [00:44:17] floor, where all the salary men on their way home tell their wives, oh, I got a, I got a big meeting [00:44:24] with the boss and then they go to, they go to Yamada Denki or they go to Yodabashi camera. [00:44:28] And then they just, you know, they take their briefcase and they set it down next to one of the [00:44:33] trial units of the massage chair. [00:44:34] And then they, they, they, they, they go into this little like sensory deprivation pod and [00:44:39] they get all their bits smushed simultaneously and they got a remote control and they can [00:44:45] say, just do it hard. [00:44:46] And then they can forget their worries for, for 15 minutes until, uh, one of the staff has [00:44:52] to remind them that, uh, they don't live there and that they have to go home now. [00:44:56] If you haven't had that experience, uh, you probably, when you hear a massage chair, think [00:45:02] of like those $2, you know, leather chairs that are, you know, just like our just normal [00:45:08] fucking chairs that may be vibrate, like the vibrating bed equivalent that you see at an [00:45:12] airport. [00:45:12] Um, this is not what I'm talking about. [00:45:15] So get your head out of there and, and go Google, you know, for high end Japanese massage [00:45:22] chair, and you might get some idea. [00:45:24] Uh, also I, uh, in the course of a 30 minute massage, I encountered so many fucking Android [00:45:32] tablet bugs. [00:45:33] I, I didn't, I gave them a lot of feedback cause they, this is sort of a trial that they're [00:45:37] doing. [00:45:37] They wanted to want to know how, what I thought. [00:45:40] And I gave them a lot of this perspective and feedback about like, well, you know, this [00:45:44] skeuomorphic design, yada, yada. [00:45:45] But I didn't even touch any of the software stuff. [00:45:49] Cause like there's an absolutely nothing that they're going to be able to do with that much [00:45:52] less like they won't even be able to communicate this back to the company in a way that's helpful, [00:45:55] but it was, you know, it would freeze or the display would become non-responsive. [00:46:01] One time I had the music just turn itself all the way up. [00:46:05] The, um, the, so many things about this design are meant to make you feel comfortable are [00:46:13] meant to make you feel safe. [00:46:14] Like if, if you, it moves at all, or if it detects anything is off at all, it basically [00:46:20] like will, will disengage entirely and reposition itself. [00:46:23] And then you have to actively resume the massage. [00:46:26] And then it's got to put the little flappy doos back over you. [00:46:30] Like it's really worried about people flipping out about this robot pressing up against them. [00:46:36] And it extends to, to like, you know, you pick your firmness, like light, medium firm. [00:46:41] And I clicked firm. [00:46:42] And then there, you could see there was like a little like pressure bar on the right. [00:46:47] And that even though I'd clicked the firm preset, I wasn't at a hundred percent pressure. [00:46:52] And I was like, well, that, that won't do. [00:46:54] And so I jacked it up to a hundred percent right out of the gate. [00:46:56] And the whole time, 30 minutes, like you could, uh, [00:46:59] Hmm. [00:47:01] It, I knew that a massage was happening. [00:47:05] Like I knew when contact was being made, but like, it was not a massage. [00:47:08] It was, it was somebody kind of like, like, like back rub would be generous. [00:47:14] It was like somebody like took an open palm hand and just pressed it. [00:47:18] Just, just, just an obnoxiously against different parts of my body and no firmness beyond that. [00:47:26] So you got a robo massage. [00:47:29] It's limited in what it can do. [00:47:33] Cause it's trying to imitate a human. [00:47:34] It's very worried about liability, which is why I imagine the max firmness is light pressure. [00:47:39] Uh, and it's fussy and it's buggy. [00:47:42] And of course it can only do very limited regions of the body. [00:47:45] Like if I was a massage therapist, I'd be like, Hey, sweet. [00:47:49] You know, I'm going to keep having a job longer than all these programmer juckle fucks. [00:47:52] You're going to get replaced by a Claude and open AI. [00:47:56] So I'm, I'm, I'm, I'm confident that a massage therapist is going to be a, a lucrative, you [00:48:03] know, going concern as a career for a little while programming. [00:48:08] I'm not so sure of, but most of us listening have already made our choice, whether we're [00:48:14] going to be massage therapists or programmers. [00:48:16] So we're just going to have to see how this, how this plays out. [00:48:19] All right. [00:48:20] Well, that's all, that's everything going on in my life. [00:48:23] So let's, uh, well, let's follow up on stuff that had been going on in my life and is now [00:48:30] continuing or is once again, I started to realize that there's a, there's a certain theme to this [00:48:37] show. [00:48:37] Hmm. [00:48:38] All right. [00:48:46] There's basically two major areas of follow-up today. [00:48:51] Um, but somehow the two of them take up 11 bullet points in my notes. [00:48:59] So I'll try to be expeditious. [00:49:02] The first is I bought a, uh, M4 pro MacBook pro, I guess an Apple nomenclature, a MacBook pro [00:49:13] left parentheses, 2024, right parentheses with M4 pro. [00:49:19] I think is probably maybe the 2024 is at the end. [00:49:22] Maybe they don't put the date now that they have the chip name. [00:49:25] In any case, I needed a computer that was built for Apple intelligence, which is how they also, [00:49:32] they crammed that in the fucking name. [00:49:34] Um, and like the, every subheader says Apple intelligence on it, which, you know, I mean, [00:49:40] if you're, if you're a marketing dude, it's the thing that, you know, like you gotta, every [00:49:48] year is a struggle to goose people into, to buying computers. [00:49:51] And, uh, it's been a while since they've had anything new to say that your computer can do. [00:49:56] So it makes sense, but come on. [00:49:59] It can't even make Genmoji yet. [00:50:02] Uh, just if you've, if you've downloaded it, used 18.2 iOS or iPadOS, uh, go turn on the, [00:50:13] um, you know, the AI feature, if it's available in your region and language, and then you open [00:50:19] the image playground app and you click through there and let it download all of the image [00:50:24] playground shit, uh, in particular, the image playground itself, where you can take a person [00:50:30] and a place and kind of like, you know, create sort of a, uh, a witch's brew of bad imagery [00:50:35] and then, and then have a keep swiping to the right as, as they just all look bad that I have [00:50:43] no, no need for, but Genmoji, or at least the promise of Genmoji, I like quite a lot. [00:50:49] I enjoy, you know, um, typing in little like name, like, so we were at the parks, uh, with [00:50:57] our friends last week and it was a Jollywood Knights event, which is also Gatsby themed. [00:51:06] There's a reason why ordering 1920s era costumes on Amazon in Orlando was like not an overnight. [00:51:13] It was like a two, three day leg because this, this Jollywood Knights 1920s era themed, uh, [00:51:21] ticketed event at Hollywood studios has been going on. And it was one of those nights. And so some [00:51:26] flapper lady in line, she had a purse that had a phone handle on it. And her husband, who now that [00:51:34] I think back on this was dressed very similarly to how I dressed myself last night. So something tells [00:51:39] me he was sort of a long for the ride in this, she picked up the phone handle off of her purse and [00:51:46] handed it to Becky. And then he, you could sort of see him on the phone being a bad ventriloquist [00:51:53] and talking to her on the phone. So like his cell phone was somehow communicating to the purse phone. [00:51:59] It was very, it reminded me of get smart, you know, like that spy TV show from the sixties that was on [00:52:05] Nick at night in the eighties or nineties when I would have watched it. Uh, of course it didn't [00:52:10] work. And then we were just in line and it was like, sorry, we're in line. It didn't work. And then, [00:52:14] and then of course the way that lines work, right. As you turn left, turn right. And now it's up, [00:52:18] here's the same people again. And so they're like, all right, try again. So she picks up the purse [00:52:23] phone and here's the guy talk. And she's like, yes, this is indeed a telephone. That is a purse. [00:52:28] My reaction, my contribution to this experience was to try to generate a Genmoji for the group [00:52:35] that I was with. That was like purse phone. And, uh, wouldn't you know it, uh, it struggled to like, [00:52:43] I was like purse with a phone handle on top. And it was, it gave me like one with like a, [00:52:49] like a locker combination lock instead of a rotary dial in the middle. It was all, it was not, [00:52:54] not good. And, and I think like a lot of these Genmoji, in addition to being bad and not good, [00:53:01] they are when they, there's, they have to be so detailed because usually it's people mashing up [00:53:07] different concepts. They have to be so detailed that when in line with texts, you have to squint [00:53:12] and you can barely see what they are. And then if they're as a tap back, you have no hope of knowing [00:53:16] what they are. Like if it's of a person, for example, like it's, you're going to get like 80% shirt [00:53:21] and then like 10% head. So you're not going to be able to tell who's what. Uh, so those need work [00:53:27] and no one wants my Genmoji. My, my brother has formally requested. I stopped sending them and, [00:53:32] uh, I will, I will take that request under advisement. Anyway, uh, bought a MacBook pro. Um, [00:53:42] Oh, I've got a, I've got a parenthetical as a C notes. All right, well, here's eight more bullet [00:53:50] points. I'm going to rattle through these. So Becky, actually, it was her idea. She wanted to [00:53:54] get me this. We were in Japan. She's like, Hey, you know, I heard you talking about the nanotexture [00:53:57] display. And like, of course, you know, the, the, the brighter screen and us being in Orlando, [00:54:01] you never use a computer outside or out of the house. So she wanted to buy it. And she said, [00:54:06] it was just really complicated. I didn't want to fuck up. I didn't want to get you the wrong set of [00:54:09] options. I asked Aaron and Aaron didn't know either. He said he hadn't really been on top of it. [00:54:16] Uh, and I was like, honey, that's so I didn't say like, bless your heart. I, it was a such a sweet [00:54:23] gesture. And it is true that I've been curious about it. Um, but I didn't feel like, uh, I had [00:54:30] to get one right this minute. Uh, and, and honestly, the, the, the 14 inch MacBook pro is still too heavy. [00:54:36] I, I, I, I lifted tonal my, my weightlifting robot, uh, reported in my tonal wrapped because [00:54:46] everything has to do a goddamn wrapped dingus to try to share in social media as if like, you know, [00:54:52] one assumes that all these wrapped posts just go to the goddamn bottom of every algorithm because [00:54:57] they're all the same. But in any case, it showed me a little wrapped video and it said, I wait, [00:55:02] I, I lifted one and a half million pounds last year or over the course of 2024. And I was like, [00:55:07] that's a lot of weight that I lifted. I, yesterday I did the equivalent of like, you know, 250, [00:55:12] 275 pound deadlift barbell deadlift. And that was hard, but not too hard. It's the max weight that, [00:55:20] that tonal can do. Um, I, I, I, I like to think I'm pretty strong now. Uh, that four pound fucking [00:55:31] MacBook pro is backbreakingly heavy, no matter where I am, I'll pick it up and like, that is denser than [00:55:40] it looks. It's a, it's like when you pick up a baby, that's like a little bit too dense, you know, [00:55:46] and you're just like, Oh wow. I was expecting this to be more fun. This is just going to give [00:55:51] me pelvic floor problems. If I do this for more than exactly 30 seconds and then hand it back to [00:55:57] its mother who surely has pelvic floor issues. Um, I don't want to be carrying around this MacBook pro. [00:56:05] I don't want to carry it with my arms. I don't want to carry it in a bag. I don't want to carry it [00:56:09] into the car. I don't want to carry it, you know, uh, in a Starbucks. I want to hire a Porter to [00:56:16] bring it around to me, you know, from place to place. Maybe, maybe they could also saddle up and [00:56:23] have a, uh, vision pro. So that's what I really want. Uh, at least until, and unless Apple releases [00:56:30] the 12 inch MacBook pro, uh, that we were promised in our early years. [00:56:34] Anyway, when Becky said that it was hard to configure and figure out what she'd want to order [00:56:43] or what I would want her to order. And as a result would have made a pretty lousy gift because [00:56:49] the likelihood of her getting it right. Where if you look at the number of configurations for these [00:56:53] seeing this thing, like astronomically small, I actually spent, I sat down, I look, I, I said, [00:57:01] I didn't need the thing. And then I come home and then within a day and a half, uh, my MacBook air is [00:57:07] crying because it's out of storage to the point where like I composed an email and I hit send on the email [00:57:12] and then Apple mail reported, yo, we just barfed on all this and just deleted all your shit. Cause we [00:57:17] ran out of disk space, no warning. And in modern day Mac OS, you don't get to know how much disk space [00:57:23] you have because all of it is like optimized storage. So like whether it's your iCloud drive [00:57:29] or it's your Apple photos, once the system is under any sort of, um, storage stress, it'll, [00:57:35] it's supposed to detect that and start deleting shit. Your phone does this too. So sometimes like [00:57:41] you're like, like I was importing a bunch of raw images on the phone and it said, Oh, you're out of [00:57:45] storage. And then I knew, because I know how it works under the hood, even though it exposes zero [00:57:49] controls or visibility as to what is going the fuck on. I knew that when it ran out of storage, [00:57:54] the right solution was sit and wait for 30 seconds while it deletes shit in the background and then [00:57:59] just hit import again. Right. Well, I, that didn't work in this case. Like I actually went and deleted [00:58:05] like a hundred gigabytes of garbage. It's a small SSD. It's a 512 gigabyte MacBook air. I deleted all this [00:58:11] stuff, but, um, from my iCloud drive on another computer, because this one was finder was completely [00:58:17] unresponsive. Uh, and it never got better because it had suspended all iCloud drive syncing as a, [00:58:24] probably like some sort of like memory safeguard or storage safeguard to like make sure I didn't, [00:58:27] it didn't fuck up anything in the cloud. And so like even going, I'm not going to, [00:58:33] most of that storage was in my iCloud drive, which is how it got full while I was overseas. [00:58:38] And when I came back, I, I didn't have like, I could, I could have gone through and like run [00:58:47] RM dash RF from the terminal and deleted stuff from the iCloud drive to like as a, as an emergency break, [00:58:52] like get, get this SSD empty enough that the operating system can run and then figure it out. [00:59:00] But then of course it would have synced all of those deletions up to the cloud and deleted the [00:59:03] same things off of my other computers. So this is a tractable problem. And I, I, I ultimately did solve [00:59:10] it, but I, I realize now why Apple markets so much of its pro devices to photos and video people, [00:59:20] because photos and videos take up a shit ton of space. Uh, they have different performance [00:59:26] characteristics than programming and, and the, their needs in many ways are higher than what you need. [00:59:33] If you're just writing Ruby code, right? Uh, it just so happens that Swift, the programming language [00:59:38] that they wrote is also like, we'll, we'll take advantage of all of these cores during compilation [00:59:42] in a way that like a lot of local development in other languages won't. [00:59:45] But in my last year of doing a lot more video work, doing a lot more audio work, I can definitely [00:59:52] understand now like, Oh yeah, like the, the MacBook air actually is inappropriate for a lot of the [00:59:57] workflows of the things that I do. So that experience, I came to Becky and I was like, look, I know I said [01:00:05] I didn't need this, but I think I might need this. Um, where need is in very, you know, very gentle [01:00:12] text. It's, it's a thin font variant to say, I need this. What I mean to say is like, I, it would save [01:00:19] me a lot of time and stress and headache and, uh, uh, rework to have a better computer, a more [01:00:26] capacious computer. And of course you can't upgrade the storage and your existing max. So here we are. [01:00:32] Um, but anyway, I was in the configurator for the new MacBook pro. And the first decision you got to [01:00:36] make is do I want a regular M4 chip, which I did not, or one of the pro ones, which is a, you know, [01:00:43] 12 or 14 core. I want to say a chip, uh, which is a huge upgrade over the M3 pro the M3 pro had a way [01:00:53] more efficiency cores and the M4 pro has more performance score. So it's like a, it's doing [01:00:57] much better in synthetic benchmarking that that's impressive. It's a big year over year change or the [01:01:02] M4 max, which is, you know, uh, an incremental improvement over the M3 max, but to the extent [01:01:10] that it's better than the pro it's like, you know, got another meat and quote unquote media [01:01:14] e

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Deploying pNFS file sharing with FreeBSD, What To Use Instead of PGP, The slow evaporation of the FOSS surplus, I feel that NAT is inevitable even with IPv6, Spell checking in Vim, Iconic consoles of the IBM System/360 mainframes, 55 years old, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines Deploying pNFS file sharing with FreeBSD (https://klarasystems.com/articles/deploying-pnfs-file-sharing-with-freebsd/?utm_source=BSD%20Now&utm_medium=Podcast) What To Use Instead of PGP (https://soatok.blog/2024/11/15/what-to-use-instead-of-pgp/) The slow evaporation of the FOSS surplus (https://www.baldurbjarnason.com/2024/the-slow-evaporation-of-the-foss-surplus/) News Roundup FreeBSD 14 on the Desktop (https://www.sacredheartsc.com/blog/freebsd-14-on-the-desktop/) Iconic consoles of the IBM System/360 mainframes, 55 years old (https://www.righto.com/2019/04/iconic-consoles-of-ibm-system360.html) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

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This week on Ask Noah we dig into Cosmic desktop and talk about what to do when self hosting goes wrong! -- During The Show -- 01:48 Cosmic Desktop - Dan Cosmic will be the desktop for System76 computers Built for System76 Cosmic DE still Alpha/Beta Been running Cosmic for over a month 07:38 Caller KVM/VirtManager performance Virt IO Drivers Correct ZFS block size for QCOW2 Synchronous vs Non-synchronous writes ZFS Intent Log (SLOG/ZIL) 64k Record size Turn on virtualization in UEFI Enable "write a shift" Check the cables 16:50 Cosmic Desktop - ZFS - Rob Hardware HDD Failure after re-silvering Preventing bit rot 3 disks vs 2 disks ZFS Send/Receive vs Rsync Sanoid (https://github.com/jimsalterjrs/sanoid) Limit the bandwidth Total data vs Total Bandwidth Synology is not open source Just install an OS and packages 30:55 Zed Editor Website (https://zed.dev/) Steve uses Nano not Vim or Emacs Thoughts on IDEs? VSCode and VSCodium Electron Lots of extensions Failed to get to the website AI is not appealing Written in Rust Native Linux support 37:41 Steve's Tech failures Nextcloud Collaborative Editing Fighting with Collabra Tried docker and podman Tried bare metal Tried a VM Nextcloud Deck It works Not awesome Colors not working Trello import Frigate took down Home Assistant Frigate filled /tmp and root Hard locked the server Tail Scale on IOS Doesn't work intermittently Do you enjoy fixing problems? Case by case basis Time is the most valuable thing -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/414) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

Ray, Jess and Andrew are back after a couple week long break. Ray enjoys his Starfield time and a new NMS Expedition has kicked off. Jess is preparing for a Dragon Invasion. Andrew chugs the last mug of VIM! and gets back to work.Join our Discord:https://discord.gg/cVSN65jJoin in the Roundtable Fun with our Character Generators!Fallout 76: https://tinyurl.com/F76GeneratorFallout 4: https://tinyurl.com/Fallout4GeneratorFallout New Vegas: https://tinyurl.com/NewVegasGeneratorFallout 3: https://tinyurl.com/F3GeneratorDONATE:  https://fightcf.cff.org/site/TR/?fr_id=7889&pg=team&team_id=90760Shop:  optimistic.threadless.com/Patreon:  https://www.patreon.com/asapodcastingEmail: thefalloutfeed@gmail.comWeb: http://www.asapodcasting.com/#/the-fallout-feed/Insta: https://www.instagram.com/asapodcastingTwitter: https://twitter.com/TheFalloutFeedFB: facebook.com/groups/askyrimaddictpodcastSupport the show

We all have fond memories of the first Dev Day in 2023:and the blip that followed soon after. As Ben Thompson has noted, this year's DevDay took a quieter, more intimate tone. No Satya, no livestream, (slightly fewer people?). Instead of putting ChatGPT announcements in DevDay as in 2023, o1 was announced 2 weeks prior, and DevDay 2024 was reserved purely for developer-facing API announcements, primarily the Realtime API, Vision Finetuning, Prompt Caching, and Model Distillation.However the larger venue and more spread out schedule did allow a lot more hallway conversations with attendees as well as more community presentations including our recent guest Alistair Pullen of Cosine as well as deeper dives from OpenAI including our recent guest Michelle Pokrass of the API Team. Thanks to OpenAI's warm collaboration (we particularly want to thank Lindsay McCallum Rémy!), we managed to record exclusive interviews with many of the main presenters of both the keynotes and breakout sessions. We present them in full in today's episode, together with a full lightly edited Q&A with Sam Altman.Show notes and related resourcesSome of these used in the final audio episode below* Simon Willison Live Blog* swyx live tweets and videos* Greg Kamradt coverage of Structured Output session, Scaling LLM Apps session* Fireside Chat Q&A with Sam AltmanTimestamps* [00:00:00] Intro by Suno.ai* [00:01:23] NotebookLM Recap of DevDay* [00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling* [00:19:16] Olivier Godement, Head of Product, OpenAI* [00:36:57] Romain Huet, Head of DX, OpenAI* [00:47:08] Michelle Pokrass, API Tech Lead at OpenAI ft. Simon Willison* [01:04:45] Alistair Pullen, CEO, Cosine (Genie)* [01:18:31] Sam Altman + Kevin Weill Q&A* [02:03:07] Notebook LM Recap of PodcastTranscript[00:00:00] Suno AI: Under dev daylights, code ignites. Real time voice streams reach new heights. O1 and GPT, 4. 0 in flight. Fine tune the future, data in sight. Schema sync up, outputs precise. Distill the models, efficiency splice.[00:00:33] AI Charlie: Happy October. This is your AI co host, Charlie. One of our longest standing traditions is covering major AI and ML conferences in podcast format. Delving, yes delving, into the vibes of what it is like to be there stitched in with short samples of conversations with key players, just to help you feel like you were there.[00:00:54] AI Charlie: Covering this year's Dev Day was significantly more challenging because we were all requested not to record the opening keynotes. So, in place of the opening keynotes, we had the viral notebook LM Deep Dive crew, my new AI podcast nemesis, Give you a seven minute recap of everything that was announced.[00:01:15] AI Charlie: Of course, you can also check the show notes for details. I'll then come back with an explainer of all the interviews we have for you today. Watch out and take care.[00:01:23] NotebookLM Recap of DevDay[00:01:23] NotebookLM: All right, so we've got a pretty hefty stack of articles and blog posts here all about open ais. Dev day 2024.[00:01:32] NotebookLM 2: Yeah, lots to dig into there.[00:01:34] NotebookLM 2: Seems[00:01:34] NotebookLM: like you're really interested in what's new with AI.[00:01:36] NotebookLM 2: Definitely. And it seems like OpenAI had a lot to announce. New tools, changes to the company. It's a lot.[00:01:43] NotebookLM: It is. And especially since you're interested in how AI can be used in the real world, you know, practical applications, we'll focus on that.[00:01:51] NotebookLM: Perfect. Like, for example, this Real time API, they announced that, right? That seems like a big deal if we want AI to sound, well, less like a robot.[00:01:59] NotebookLM 2: It could be huge. The real time API could completely change how we, like, interact with AI. Like, imagine if your voice assistant could actually handle it if you interrupted it.[00:02:08] NotebookLM: Or, like, have an actual conversation.[00:02:10] NotebookLM 2: Right, not just these clunky back and forth things we're used to.[00:02:14] NotebookLM: And they actually showed it off, didn't they? I read something about a travel app, one for languages. Even one where the AI ordered takeout.[00:02:21] NotebookLM 2: Those demos were really interesting, and I think they show how this real time API can be used in so many ways.[00:02:28] NotebookLM 2: And the tech behind it is fascinating, by the way. It uses persistent WebSocket connections and this thing called function calling, so it can respond in real time.[00:02:38] NotebookLM: So the function calling thing, that sounds kind of complicated. Can you, like, explain how that works?[00:02:42] NotebookLM 2: So imagine giving the AI Access to this whole toolbox, right?[00:02:46] NotebookLM 2: Information, capabilities, all sorts of things. Okay. So take the travel agent demo, for example. With function calling, the AI can pull up details, let's say about Fort Mason, right, from some database. Like nearby restaurants, stuff like that.[00:02:59] NotebookLM: Ah, I get it. So instead of being limited to what it already knows, It can go and find the information it needs, like a human travel agent would.[00:03:07] NotebookLM 2: Precisely. And someone on Hacker News pointed out a cool detail. The API actually gives you a text version of what's being said. So you can store that, analyze it.[00:03:17] NotebookLM: That's smart. It seems like OpenAI put a lot of thought into making this API easy for developers to use. But, while we're on OpenAI, you know, Besides their tech, there's been some news about, like, internal changes, too.[00:03:30] NotebookLM: Didn't they say they're moving away from being a non profit?[00:03:32] NotebookLM 2: They did. And it's got everyone talking. It's a major shift. And it's only natural for people to wonder how that'll change things for OpenAI in the future. I mean, there are definitely some valid questions about this move to for profit. Like, will they have more money for research now?[00:03:46] NotebookLM 2: Probably. But will they, you know, care as much about making sure AI benefits everyone?[00:03:51] NotebookLM: Yeah, that's the big question, especially with all the, like, the leadership changes happening at OpenAI too, right? I read that their Chief Research Officer left, and their VP of Research, and even their CTO.[00:04:03] NotebookLM 2: It's true. A lot of people are connecting those departures with the changes in OpenAI's structure.[00:04:08] NotebookLM: And I guess it makes you wonder what's going on behind the scenes. But they are still putting out new stuff. Like this whole fine tuning thing really caught my eye.[00:04:17] NotebookLM 2: Right, fine tuning. It's essentially taking a pre trained AI model. And, like, customizing it.[00:04:23] NotebookLM: So instead of a general AI, you get one that's tailored for a specific job.[00:04:27] NotebookLM 2: Exactly. And that opens up so many possibilities, especially for businesses. Imagine you could train an AI on your company's data, you know, like how you communicate your brand guidelines.[00:04:37] NotebookLM: So it's like having an AI that's specifically trained for your company?[00:04:41] NotebookLM 2: That's the idea.[00:04:41] NotebookLM: And they're doing it with images now, too, right?[00:04:44] NotebookLM: Fine tuning with vision is what they called it.[00:04:46] NotebookLM 2: It's pretty incredible what they're doing with that, especially in fields like medicine.[00:04:50] NotebookLM: Like using AI to help doctors make diagnoses.[00:04:52] NotebookLM 2: Exactly. And AI could be trained on thousands of medical images, right? And then it could potentially spot things that even a trained doctor might miss.[00:05:03] NotebookLM: That's kind of scary, to be honest. What if it gets it wrong?[00:05:06] NotebookLM 2: Well, the idea isn't to replace doctors, but to give them another tool, you know, help them make better decisions.[00:05:12] NotebookLM: Okay, that makes sense. But training these AI models must be really expensive.[00:05:17] NotebookLM 2: It can be. All those tokens add up. But OpenAI announced something called automatic prompt caching.[00:05:23] Alex Volkov: Automatic what now? I don't think I came across that.[00:05:26] NotebookLM 2: So basically, if your AI sees a prompt that it's already seen before, OpenAI will give you a discount.[00:05:31] NotebookLM: Huh. Like a frequent buyer program for AI.[00:05:35] NotebookLM 2: Kind of, yeah. It's good that they're trying to make it more affordable. And they're also doing something called model distillation.[00:05:41] NotebookLM: Okay, now you're just using big words to sound smart. What's that?[00:05:45] NotebookLM 2: Think of it like like a recipe, right? You can take a really complex recipe and break it down to the essential parts.[00:05:50] NotebookLM: Make it simpler, but it still tastes the same.[00:05:53] NotebookLM 2: Yeah. And that's what model distillation is. You take a big, powerful AI model and create a smaller, more efficient version.[00:06:00] NotebookLM: So it's like lighter weight, but still just as capable.[00:06:03] NotebookLM 2: Exactly. And that means more people can actually use these powerful tools. They don't need, like, a supercomputer to run them.[00:06:10] NotebookLM: So they're making AI more accessible. That's great.[00:06:13] NotebookLM 2: It is. And speaking of powerful tools, they also talked about their new O1 model.[00:06:18] NotebookLM 2: That's the one they've been hyping up. The one that's supposed to be this big leap forward.[00:06:22] NotebookLM: Yeah, O1. It sounds pretty futuristic. Like, from what I read, it's not just a bigger, better language model.[00:06:28] NotebookLM 2: Right. It's a different porch.[00:06:29] NotebookLM: They're saying it can, like, actually reason, right? Think.[00:06:33] NotebookLM 2: It's trained differently.[00:06:34] NotebookLM 2: They used reinforcement learning with O1.[00:06:36] NotebookLM: So it's not just finding patterns in the data it's seen before.[00:06:40] NotebookLM 2: Not just that. It can actually learn from its mistakes. Get better at solving problems.[00:06:46] NotebookLM: So give me an example. What can O1 do that, say, GPT 4 can't?[00:06:51] NotebookLM 2: Well, OpenAI showed it doing some pretty impressive stuff with math, like advanced math.[00:06:56] NotebookLM 2: And coding, too. Complex coding. Things that even GPT 4 struggled with.[00:07:00] NotebookLM: So you're saying if I needed to, like, write a screenplay, I'd stick with GPT 4? But if I wanted to solve some crazy physics problem, O1 is what I'd use.[00:07:08] NotebookLM 2: Something like that, yeah. Although there is a trade off. O1 takes a lot more power to run, and it takes longer to get those impressive results.[00:07:17] NotebookLM: Hmm, makes sense. More power, more time, higher quality.[00:07:21] NotebookLM 2: Exactly.[00:07:22] NotebookLM: It sounds like it's still in development, though, right? Is there anything else they're planning to add to it?[00:07:26] NotebookLM 2: Oh, yeah. They mentioned system prompts, which will let developers, like, set some ground rules for how it behaves. And they're working on adding structured outputs and function calling.[00:07:38] Alex Volkov: Wait, structured outputs? Didn't we just talk about that? We[00:07:41] NotebookLM 2: did. That's the thing where the AI's output is formatted in a way that's easy to use.[00:07:47] NotebookLM: Right, right. So you don't have to spend all day trying to make sense of what it gives you. It's good that they're thinking about that stuff.[00:07:53] NotebookLM 2: It's about making these tools usable.[00:07:56] NotebookLM 2: And speaking of that, Dev Day finished up with this really interesting talk. Sam Altman, the CEO of OpenAI, And Kevin Weil, their new chief product officer. They talked about, like, the big picture for AI.[00:08:09] NotebookLM: Yeah, they did, didn't they? Anything interesting come up?[00:08:12] NotebookLM 2: Well, Altman talked about moving past this whole AGI term, Artificial General Intelligence.[00:08:18] NotebookLM: I can see why. It's kind of a loaded term, isn't it?[00:08:20] NotebookLM 2: He thinks it's become a bit of a buzzword, and people don't really understand what it means.[00:08:24] NotebookLM: So are they saying they're not trying to build AGI anymore?[00:08:28] NotebookLM 2: It's more like they're saying they're focused on just Making AI better, constantly improving it, not worrying about putting it in a box.[00:08:36] NotebookLM: That makes sense. Keep pushing the limits.[00:08:38] NotebookLM 2: Exactly. But they were also very clear about doing it responsibly. They talked a lot about safety and ethics.[00:08:43] NotebookLM: Yeah, that's important.[00:08:44] NotebookLM 2: They said they were going to be very careful. About how they release new features.[00:08:48] NotebookLM: Good! Because this stuff is powerful.[00:08:51] NotebookLM 2: It is. It was a lot to take in, this whole Dev Day event.[00:08:54] NotebookLM 2: New tools, big changes at OpenAI, and these big questions about the future of AI.[00:08:59] NotebookLM: It was. But hopefully this deep dive helped make sense of some of it. At least, that's what we try to do here.[00:09:05] AI Charlie: Absolutely.[00:09:06] NotebookLM: Thanks for taking the deep dive with us.[00:09:08] AI Charlie: The biggest demo of the new Realtime API involved function calling with voice mode and buying chocolate covered strawberries from our friendly local OpenAI developer experience engineer and strawberry shop owner, Ilan Biggio.[00:09:21] AI Charlie: We'll first play you the audio of his demo and then go into a little interview with him.[00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling[00:09:25] Romain Huet: Could you place a call and see if you could get us 400 strawberries delivered to the venue? But please keep that under 1500. I'm on it. We'll get those strawberries delivered for you.[00:09:47] Ilan: Hello? Hi there. Is this Ilan? I'm Romain's AI assistant. How is it going? Fantastic. Can you tell me what flavors of strawberry dips you have for me? Yeah, we have chocolate, vanilla, and we have peanut butter. Wait, how much would 400 chocolate covered strawberries cost? 400? Are you sure you want 400? Yes, 400 chocolate covered[00:10:14] swyx: strawberries.[00:10:15] Ilan: Wait,[00:10:16] swyx: how much[00:10:16] Ilan: would that be? I think that'll be around, like, 1, 415. 92.[00:10:25] Alex Volkov: Awesome. Let's go ahead and place the order for four chocolate covered strawberries.[00:10:31] Ilan: Great, where would you like that delivered? Please deliver them to the Gateway Pavilion at Fort Mason. And I'll be paying in cash.[00:10:42] Alex Volkov: Okay,[00:10:43] Ilan: sweet. So just to confirm, you want four strawberries?[00:10:45] Ilan: 400 chocolate covered strawberries to the Gateway Pavilion. Yes, that's perfect. And when can we expect delivery? Well, you guys are right nearby, so it'll be like, I don't know, 37 seconds? That's incredibly fast. Cool, you too.[00:11:09] swyx: Hi, Ilan, welcome to Lanespace. Oh, thank you. I just saw your amazing demos, had your amazing strawberries. You are dressed up, like, exactly like a strawberry salesman. Gotta have it all. What was the building on demo like? What was the story behind the demo?[00:11:22] swyx: It was really interesting. This is actually something I had been thinking about for months before the launch.[00:11:27] swyx: Like, having a, like, AI that can make phone calls is something like I've personally wanted for a long time. And so as soon as we launched internally, like, I started hacking on it. And then that sort of just started. We made it into like an internal demo, and then people found it really interesting, and then we thought how cool would it be to have this like on stage as, as one of the demos.[00:11:47] swyx: Yeah, would would you call out any technical issues building, like you were basically one of the first people ever to build with a voice mode API. Would you call out any issues like integrating it with Twilio like that, like you did with function calling, with like a form filling elements. I noticed that you had like intents of things to fulfill, and then.[00:12:07] swyx: When there's still missing info, the voice would prompt you, roleplaying the store guy.[00:12:13] swyx: Yeah, yeah, so, I think technically, there's like the whole, just working with audio and streams is a whole different beast. Like, even separate from like AI and this, this like, new capabilities, it's just, it's just tough.[00:12:26] swyx: Yeah, when you have a prompt, conversationally it'll just follow, like the, it was, Instead of like, kind of step by step to like ask the right questions based on like the like what the request was, right? The function calling itself is sort of tangential to that. Like, you have to prompt it to call the functions, but then handling it isn't too much different from, like, what you would do with assistant streaming or, like, chat completion streaming.[00:12:47] swyx: I think, like, the API feels very similar just to, like, if everything in the API was streaming, it actually feels quite familiar to that.[00:12:53] swyx: And then, function calling wise, I mean, does it work the same? I don't know. Like, I saw a lot of logs. You guys showed, like, in the playground, a lot of logs. What is in there?[00:13:03] swyx: What should people know?[00:13:04] swyx: Yeah, I mean, it is, like, the events may have different names than the streaming events that we have in chat completions, but they represent very similar things. It's things like, you know, function call started, argument started, it's like, here's like argument deltas, and then like function call done.[00:13:20] swyx: Conveniently we send one that has the full function, and then I just use that. Nice.[00:13:25] swyx: Yeah and then, like, what restrictions do, should people be aware of? Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.[00:13:40] swyx: Yeah, so there's, I think there's recent regulation on that, which is why we want to be like very, I guess, aware of, of You know, you can't just call anybody with AI, right? That's like just robocalling. You wouldn't want someone just calling you with AI.[00:13:54] swyx: I'm a developer, I'm about to do this on random people.[00:13:57] swyx: What laws am I about to break?[00:14:00] swyx: I forget what the governing body is, but you should, I think, Having consent of the person you're about to call, it always works. I, as the strawberry owner, have consented to like getting called with AI. I think past that you, you want to be careful. Definitely individuals are more sensitive than businesses.[00:14:19] swyx: I think businesses you have a little bit more leeway. Also, they're like, businesses I think have an incentive to want to receive AI phone calls. Especially if like, they're dealing with it. It's doing business. Right, like, it's more business. It's kind of like getting on a booking platform, right, you're exposed to more.[00:14:33] swyx: But, I think it's still very much like a gray area. Again, so. I think everybody should, you know, tread carefully, like, figure out what it is. I, I, I, the law is so recent, I didn't have enough time to, like, I'm also not a lawyer. Yeah, yeah, yeah, of course. Yeah.[00:14:49] swyx: Okay, cool fair enough. One other thing, this is kind of agentic.[00:14:52] swyx: Did you use a state machine at all? Did you use any framework? No. You just stick it in context and then just run it in a loop until it ends call?[00:15:01] swyx: Yeah, there isn't even a loop, like Okay. Because the API is just based on sessions. It's always just going to keep going. Every time you speak, it'll trigger a call.[00:15:11] swyx: And then after every function call was also invoked invoking like a generation. And so that is another difference here. It's like it's inherently almost like in a loop, be just by being in a session, right? No state machines needed. I'd say this is very similar to like, the notion of routines, where it's just like a list of steps.[00:15:29] swyx: And it, like, sticks to them softly, but usually pretty well. And the steps is the prompts? The steps, it's like the prompt, like the steps are in the prompt. Yeah, yeah, yeah. Right, it's like step one, do this, step one, step two, do that. What if I want to change the system prompt halfway through the conversation?[00:15:44] swyx: You can. Okay. You can. To be honest, I have not played without two too much. Yeah,[00:15:47] swyx: yeah.[00:15:48] swyx: But, I know you can.[00:15:49] swyx: Yeah, yeah. Yeah. Awesome. I noticed that you called it real time API, but not voice API. Mm hmm. So I assume that it's like real time API starting with voice. Right, I think that's what he said on the thing.[00:16:00] swyx: I can't imagine, like, what else is real[00:16:02] swyx: time? Well, I guess, to use ChatGPT's voice mode as an example, Like, we've demoed the video, right? Like, real time image, right? So, I'm not actually sure what timelines are, But I would expect, if I had to guess, That, like, that is probably the next thing that we're gonna be making.[00:16:17] swyx: You'd probably have to talk directly with the team building this. Sure. But, You can't promise their timelines. Yeah, yeah, yeah, right, exactly. But, like, given that this is the features that currently, Or that exists that we've demoed on Chachapiti. Yeah. There[00:16:29] swyx: will never be a[00:16:29] swyx: case where there's like a real time text API, right?[00:16:31] swyx: I don't Well, this is a real time text API. You can do text only on this. Oh. Yeah. I don't know why you would. But it's actually So text to text here doesn't quite make a lot of sense. I don't think you'll get a lot of latency gain. But, like, speech to text is really interesting. Because you can prevent You can prevent responses, like audio responses.[00:16:54] swyx: And force function calls. And so you can do stuff like UI control. That is like super super reliable. We had a lot of like, you know, un, like, we weren't sure how well this was gonna work because it's like, you have a voice answering. It's like a whole persona, right? Like, that's a little bit more, you know, risky.[00:17:10] swyx: But if you, like, cut out the audio outputs and make it so it always has to output a function, like you can end up with pretty pretty good, like, Pretty reliable, like, command like a command architecture. Yeah,[00:17:21] swyx: actually, that's the way I want to interact with a lot of these things as well. Like, one sided voice.[00:17:26] swyx: Yeah, you don't necessarily want to hear the[00:17:27] swyx: voice back. And like, sometimes it's like, yeah, I think having an output voice is great. But I feel like I don't always want to hear an output voice. I'd say usually I don't. But yeah, exactly, being able to speak to it is super sweet.[00:17:39] swyx: Cool. Do you want to comment on any of the other stuff that you announced?[00:17:41] swyx: From caching I noticed was like, I like the no code change part. I'm looking forward to the docs because I'm sure there's a lot of details on like, what you cache, how long you cache. Cause like, enthalpy caches were like 5 minutes. I was like, okay, but what if I don't make a call every 5 minutes?[00:17:56] swyx: Yeah,[00:17:56] swyx: to be super honest with you, I've been so caught up with the real time API and making the demo that I haven't read up on the other stuff. Launches too much. I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.[00:18:19] swyx: 5 And got like, like pretty much the same level of like function calling with like hundreds of functions So that was super super compelling So, I feel like easier distillation, I'm really excited for. I see. Is it a tool?[00:18:31] swyx: So, I saw evals. Yeah. Like, what is the distillation product? It wasn't super clear, to be honest.[00:18:36] swyx: I, I think I want to, I want to let that team, I want to let that team talk about it. Okay,[00:18:40] swyx: alright. Well, I appreciate you jumping on. Yeah, of course. Amazing demo. It was beautifully designed. I'm sure that was part of you and Roman, and[00:18:47] swyx: Yeah, I guess, shout out to like, the first people to like, creators of Wanderlust, originally, were like, Simon and Carolis, and then like, I took it and built the voice component and the voice calling components.[00:18:59] swyx: Yeah, so it's been a big team effort. And like the entire PI team for like Debugging everything as it's been going on. It's been, it's been so good working with them. Yeah, you're the first consumers on the DX[00:19:07] swyx: team. Yeah. Yeah, I mean, the classic role of what we do there. Yeah. Okay, yeah, anything else? Any other call to action?[00:19:13] swyx: No, enjoy Dev Day. Thank you. Yeah. That's it.[00:19:16] Olivier Godement, Head of Product, OpenAI[00:19:16] AI Charlie: The latent space crew then talked to Olivier Godmont, head of product for the OpenAI platform, who led the entire Dev Day keynote and introduced all the major new features and updates that we talked about today.[00:19:28] swyx: Okay, so we are here with Olivier Godmont. That's right.[00:19:32] swyx: I don't pronounce French. That's fine. It was perfect. And it was amazing to see your keynote today. What was the back story of, of preparing something like this? Preparing, like, Dev Day? It[00:19:43] Olivier Godement: essentially came from a couple of places. Number one, excellent reception from last year's Dev Day.[00:19:48] Olivier Godement: Developers, startup founders, researchers want to spend more time with OpenAI, and we want to spend more time with them as well. And so for us, like, it was a no brainer, frankly, to do it again, like, you know, like a nice conference. The second thing is going global. We've done a few events like in Paris and like a few other like, you know, non European, non American countries.[00:20:05] Olivier Godement: And so this year we're doing SF, Singapore, and London. To frankly just meet more developers.[00:20:10] swyx: Yeah, I'm very excited for the Singapore one.[00:20:12] Olivier Godement: Ah,[00:20:12] swyx: yeah. Will you be[00:20:13] Olivier Godement: there?[00:20:14] swyx: I don't know. I don't know if I got an invite. No. I can't just talk to you. Yeah, like, and then there was some speculation around October 1st.[00:20:22] Olivier Godement: Yeah. Is it because[00:20:23] swyx: 01, October 1st? It[00:20:25] Olivier Godement: has nothing to do. I discovered the tweet yesterday where like, people are so creative. No one, there was no connection to October 1st. But in hindsight, that would have been a pretty good meme by Tiana. Okay.[00:20:37] swyx: Yeah, and you know, I think like, OpenAI's outreach to developers is something that I felt the whole in 2022, when like, you know, like, people were trying to build a chat GPT, and like, there was no function calling, all that stuff that you talked about in the past.[00:20:51] swyx: And that's why I started my own conference as like like, here's our little developer conference thing. And, but to see this OpenAI Dev Day now, and like to see so many developer oriented products coming to OpenAI, I think it's really encouraging.[00:21:02] Olivier Godement: Yeah, totally. It's that's what I said, essentially, like, developers are basically the people who make the best connection between the technology and, you know, the future, essentially.[00:21:14] Olivier Godement: Like, you know, essentially see a capability, see a low level, like, technology, and are like, hey, I see how that application or that use case that can be enabled. And so, in the direction of enabling, like, AGI, like, all of humanity, it's a no brainer for us, like, frankly, to partner with Devs.[00:21:31] Alessio: And most importantly, you almost never had waitlists, which, compared to like other releases, people usually, usually have.[00:21:38] Alessio: What is the, you know, you had from caching, you had real time voice API, we, you know, Shawn did a long Twitter thread, so people know the releases. Yeah. What is the thing that was like sneakily the hardest to actually get ready for, for that day, or like, what was the kind of like, you know, last 24 hours, anything that you didn't know was gonna work?[00:21:56] Olivier Godement: Yeah. The old Fairly, like, I would say, involved, like, features to ship. So the team has been working for a month, all of them. The one which I would say is the newest for OpenAI is the real time API. For a couple of reasons. I mean, one, you know, it's a new modality. Second, like, it's the first time that we have an actual, like, WebSocket based API.[00:22:16] Olivier Godement: And so, I would say that's the one that required, like, the most work over the month. To get right from a developer perspective and to also make sure that our existing safety mitigation that worked well with like real time audio in and audio out.[00:22:30] swyx: Yeah, what design choices or what was like the sort of design choices that you want to highlight?[00:22:35] swyx: Like, you know, like I think for me, like, WebSockets, you just receive a bunch of events. It's two way. I obviously don't have a ton of experience. I think a lot of developers are going to have to embrace this real time programming. Like, what are you designing for, or like, what advice would you have for developers exploring this?[00:22:51] Olivier Godement: The core design hypothesis was essentially, how do we enable, like, human level latency? We did a bunch of tests, like, on average, like, human beings, like, you know, takes, like, something like 300 milliseconds to converse with each other. And so that was the design principle, essentially. Like, working backward from that, and, you know, making the technology work.[00:23:11] Olivier Godement: And so we evaluated a few options, and WebSockets was the one that we landed on. So that was, like, one design choice. A few other, like, big design choices that we had to make prompt caching. Prompt caching, the design, like, target was automated from the get go. Like, zero code change from the developer.[00:23:27] Olivier Godement: That way you don't have to learn, like, what is a prompt prefix, and, you know, how long does a cache work, like, we just do it as much as we can, essentially. So that was a big design choice as well. And then finally, on distillation, like, and evaluation. The big design choice was something I learned at Skype, like in my previous job, like a philosophy around, like, a pit of success.[00:23:47] Olivier Godement: Like, what is essentially the, the, the minimum number of steps for the majority of developers to do the right thing? Because when you do evals on fat tuning, there are many, many ways, like, to mess it up, frankly, like, you know, and have, like, a crappy model, like, evals that tell, like, a wrong story. And so our whole design was, okay, we actually care about, like, helping people who don't have, like, that much experience, like, evaluating a model, like, get, like, in a few minutes, like, to a good spot.[00:24:11] Olivier Godement: And so how do we essentially enable that bit of success, like, in the product flow?[00:24:15] swyx: Yeah, yeah, I'm a little bit scared to fine tune especially for vision, because I don't know what I don't know for stuff like vision, right? Like, for text, I can evaluate pretty easily. For vision let's say I'm like trying to, one of your examples was grab.[00:24:33] swyx: Which, very close to home, I'm from Singapore. I think your example was like, they identified stop signs better. Why is that hard? Why do I have to fine tune that? If I fine tune that, do I lose other things? You know, like, there's a lot of unknowns with Vision that I think developers have to figure out.[00:24:50] swyx: For[00:24:50] Olivier Godement: sure. Vision is going to open up, like, a new, I would say, evaluation space. Because you're right, like, it's harder, like, you know, to tell correct from incorrect, essentially, with images. What I can say is we've been alpha testing, like, the Vision fine tuning, like, for several weeks at that point. We are seeing, like, even higher performance uplift compared to text fine tuning.[00:25:10] Olivier Godement: So that's, there is something here, like, we've been pretty impressed, like, in a good way, frankly. But, you know, how well it works. But for sure, like, you know, I expect the developers who are moving from one modality to, like, text and images will have, like, more, you know Testing, evaluation, like, you know, to set in place, like, to make sure it works well.[00:25:25] Alessio: The model distillation and evals is definitely, like, the most interesting. Moving away from just being a model provider to being a platform provider. How should people think about being the source of truth? Like, do you want OpenAI to be, like, the system of record of all the prompting? Because people sometimes store it in, like, different data sources.[00:25:41] Alessio: And then, is that going to be the same as the models evolve? So you don't have to worry about, you know, refactoring the data, like, things like that, or like future model structures.[00:25:51] Olivier Godement: The vision is if you want to be a source of truth, you have to earn it, right? Like, we're not going to force people, like, to pass us data.[00:25:57] Olivier Godement: There is no value prop, like, you know, for us to store the data. The vision here is at the moment, like, most developers, like, use like a one size fits all model, like be off the shelf, like GP40 essentially. The vision we have is fast forward a couple of years. I think, like, most developers will essentially, like, have a.[00:26:15] Olivier Godement: An automated, continuous, fine tuned model. The more, like, you use the model, the more data you pass to the model provider, like, the model is automatically, like, fine tuned, evaluated against some eval sets, and essentially, like, you don't have to every month, when there is a new snapshot, like, you know, to go online and, you know, try a few new things.[00:26:34] Olivier Godement: That's a direction. We are pretty far away from it. But I think, like, that evaluation and decision product are essentially a first good step in that direction. It's like, hey, it's you. I set it by that direction, and you give us the evaluation data. We can actually log your completion data and start to do some automation on your behalf.[00:26:52] Alessio: And then you can do evals for free if you share data with OpenAI. How should people think about when it's worth it, when it's not? Sometimes people get overly protective of their data when it's actually not that useful. But how should developers think about when it's right to do it, when not, or[00:27:07] Olivier Godement: if you have any thoughts on it?[00:27:08] Olivier Godement: The default policy is still the same, like, you know, we don't train on, like, any API data unless you opt in. What we've seen from feedback is evaluation can be expensive. Like, if you run, like, O1 evals on, like, thousands of samples Like, your build will get increased, like, you know, pretty pretty significantly.[00:27:22] Olivier Godement: That's problem statement number one. Problem statement number two is, essentially, I want to get to a world where whenever OpenAI ships a new model snapshot, we have full confidence that there is no regression for the task that developers care about. And for that to be the case, essentially, we need to get evals.[00:27:39] Olivier Godement: And so that, essentially, is a sort of a two bugs one stone. It's like, we subsidize, basically, the evals. And we also use the evals when we ship new models to make sure that we keep going in the right direction. So, in my sense, it's a win win, but again, completely opt in. I expect that many developers will not want to share their data, and that's perfectly fine to me.[00:27:56] swyx: Yeah, I think free evals though, very, very good incentive. I mean, it's a fair trade. You get data, we get free evals. Exactly,[00:28:04] Olivier Godement: and we sanitize PII, everything. We have no interest in the actual sensitive data. We just want to have good evaluation on the real use cases.[00:28:13] swyx: Like, I always want to eval the eval. I don't know if that ever came up.[00:28:17] swyx: Like, sometimes the evals themselves are wrong, and there's no way for me to tell you.[00:28:22] Olivier Godement: Everyone who is starting with LLM, teaching with LLM, is like, Yeah, evaluation, easy, you know, I've done testing, like, all my life. And then you start to actually be able to eval, understand, like, all the corner cases, And you realize, wow, there's like a whole field in itself.[00:28:35] Olivier Godement: So, yeah, good evaluation is hard and so, yeah. Yeah, yeah.[00:28:38] swyx: But I think there's a, you know, I just talked to Brain Trust which I think is one of your partners. Mm-Hmm. . They also emphasize code based evals versus your sort of low code. What I see is like, I don't know, maybe there's some more that you didn't demo.[00:28:53] swyx: YC is kind of like a low code experience, right, for evals. Would you ever support like a more code based, like, would I run code on OpenAI's eval platform?[00:29:02] Olivier Godement: For sure. I mean, we meet developers where they are, you know. At the moment, the demand was more for like, you know, easy to get started, like eval. But, you know, if we need to expose like an evaluation API, for instance, for people like, you know, to pass, like, you know, their existing test data we'll do it.[00:29:15] Olivier Godement: So yeah, there is no, you know, philosophical, I would say, like, you know, misalignment on that. Yeah,[00:29:19] swyx: yeah, yeah. What I think this is becoming, by the way, and I don't, like it's basically, like, you're becoming AWS. Like, the AI cloud. And I don't know if, like, that's a conscious strategy, or it's, like, It doesn't even have to be a conscious strategy.[00:29:33] swyx: Like, you're going to offer storage. You're going to offer compute. You're going to offer networking. I don't know what networking looks like. Networking is maybe, like, Caching or like it's a CDN. It's a prompt CDN.[00:29:45] Alex Volkov: Yeah,[00:29:45] swyx: but it's the AI versions of everything, right? Do you like do you see the analogies or?[00:29:52] Olivier Godement: Whatever Whatever I took to developers. I feel like Good models are just half of the story to build a good app There's a third model you need to do Evaluation is the perfect example. Like, you know, you can have the best model in the world If you're in the dark, like, you know, it's really hard to gain the confidence and so Our philosophy is[00:30:11] Olivier Godement: The whole like software development stack is being basically reinvented, you know, with LLMs. There is no freaking way that open AI can build everything. Like there is just too much to build, frankly. And so my philosophy is, essentially, we'll focus on like the tools which are like the closest to the model itself.[00:30:28] Olivier Godement: So that's why you see us like, you know, investing quite a bit in like fine tuning, distillation, our evaluation, because we think that it actually makes sense to have like in one spot, Like, you know, all of that. Like, there is some sort of virtual circle, essentially, that you can set in place. But stuff like, you know, LLMOps, like tools which are, like, further away from the model, I don't know if you want to do, like, you know, super elaborate, like, prompt management, or, you know, like, tooling, like, I'm not sure, like, you know, OpenAI has, like, such a big edge, frankly, like, you know, to build this sort of tools.[00:30:56] Olivier Godement: So that's how we view it at the moment. But again, frankly, the philosophy is super simple. The strategy is super simple. It's meeting developers where they want us to be. And so, you know that's frankly, like, you know, day in, day out, like, you know, what I try to do.[00:31:08] Alessio: Cool. Thank you so much for the time.[00:31:10] Alessio: I'm sure you,[00:31:10] swyx: Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing. I talked well Well, I mean, I mean, just what is the future of real time for OpenAI?[00:31:28] swyx: Yeah. Because I think obviously video is next. You already have it in the, the ChatGPT desktop app. Do we just have a permanent, like, you know, like, are developers just going to be, like, sending sockets back and forth with OpenAI? Like how do we program for that? Like, what what is the future?[00:31:44] Olivier Godement: Yeah, that makes sense. I think with multimodality, like, real time is quickly becoming, like, you know, essentially the right experience, like, to build an application. Yeah. So my expectation is that we'll see like a non trivial, like a volume of applications like moving to a real time API. Like if you zoom out, like, audio is really simple, like, audio until basically now.[00:32:05] Olivier Godement: Audio on the web, in apps, was basically very much like a second class citizen. Like, you basically did like an audio chatbot for users who did not have a choice. You know, they were like struggling to read, or I don't know, they were like not super educated with technology. And so, frankly, it was like the crappy option, you know, compared to text.[00:32:25] Olivier Godement: But when you talk to people in the real world, the vast majority of people, like, prefer to talk and listen instead of typing and writing.[00:32:34] swyx: We speak before we write.[00:32:35] Olivier Godement: Exactly. I don't know. I mean, I'm sure it's the case for you in Singapore. For me, my friends in Europe, the number of, like, WhatsApp, like, voice notes they receive every day, I mean, just people, it makes sense, frankly, like, you know.[00:32:45] Olivier Godement: Chinese. Chinese, yeah.[00:32:46] swyx: Yeah,[00:32:47] Olivier Godement: all voice. You know, it's easier. There is more emotions. I mean, you know, you get the point across, like, pretty well. And so my personal ambition for, like, the real time API and, like, audio in general is to make, like, audio and, like, multimodality, like, truly a first class experience.[00:33:01] Olivier Godement: Like, you know, if you're, like, you know, the amazing, like, super bold, like, start up out of YC, you want to build, like, the next, like, billion, like, you know, user application to make it, like, truly your first and make it feel, like, you know, an actual good, like, you know, product experience. So that's essentially the ambition, and I think, like, yeah, it could be pretty big.[00:33:17] swyx: Yeah. I think one, one people, one issue that people have with the voice so far as, as released in advanced voice mode is the refusals.[00:33:24] Alex Volkov: Yeah.[00:33:24] swyx: You guys had a very inspiring model spec. I think Joanne worked on that. Where you said, like, yeah, we don't want to overly refuse all the time. In fact, like, even if, like, not safe for work, like, in some occasions, it's okay.[00:33:38] swyx: How, is there an API that we can say, not safe for work, okay?[00:33:41] Olivier Godement: I think we'll get there. I think we'll get there. The mobile spec, like, nailed it, like, you know. It nailed it! It's so good! Yeah, we are not in the business of, like, policing, you know, if you can say, like, vulgar words or whatever. You know, there are some use cases, like, you know, I'm writing, like, a Hollywood, like, script I want to say, like, will go on, and it's perfectly fine, you know?[00:33:59] Olivier Godement: And so I think the direction where we'll go here is that basically There will always be like, you know, a set of behavior that we will, you know, just like forbid, frankly, because they're illegal against our terms of services. But then there will be like, you know, some more like risky, like themes, which are completely legal, like, you know, vulgar words or, you know, not safe for work stuff.[00:34:17] Olivier Godement: Where basically we'll expose like a controllable, like safety, like knobs in the API to basically allow you to say, hey, that theme okay, that theme not okay. How sensitive do you want the threshold to be on safety refusals? I think that's the Dijkstra. So a[00:34:31] swyx: safety API.[00:34:32] Olivier Godement: Yeah, in a way, yeah.[00:34:33] swyx: Yeah, we've never had that.[00:34:34] Olivier Godement: Yeah. '[00:34:35] swyx: cause right now is you, it is whatever you decide. And then it's, that's it. That, that, that would be the main reason I don't use opening a voice is because of[00:34:42] Olivier Godement: it's over police. Over refuse over refusals. Yeah. Yeah, yeah. No, we gotta fix that. Yeah. Like singing,[00:34:47] Alessio: we're trying to do voice. I'm a singer.[00:34:49] swyx: And you, you locked off singing.[00:34:51] swyx: Yeah,[00:34:51] Alessio: yeah, yeah.[00:34:52] swyx: But I, I understand music gets you in trouble. Okay. Yeah. So then, and then just generally, like, what do you want to hear from developers? Right? We have, we have all developers watching you know, what feedback do you want? Any, anything specific as well, like from, especially from today anything that you are unsure about, that you are like, Our feedback could really help you decide.[00:35:09] swyx: For sure.[00:35:10] Olivier Godement: I think, essentially, it's becoming pretty clear after today that, you know, I would say the open end direction has become pretty clear, like, you know, after today. Investment in reasoning, investment in multimodality, Investment as well, like in, I would say, tool use, like function calling. To me, the biggest question I have is, you know, Where should we put the cursor next?[00:35:30] Olivier Godement: I think we need all three of them, frankly, like, you know, so we'll keep pushing.[00:35:33] swyx: Hire 10, 000 people, or actually, no need, build a bunch of bots.[00:35:37] Olivier Godement: Exactly, and so let's take O1 smart enough, like, for your problems? Like, you know, let's set aside for a second the existing models, like, for the apps that you would love to build, is O1 basically it in reasoning, or do we still have, like, you know, a step to do?[00:35:50] Olivier Godement: Preview is not enough, I[00:35:52] swyx: need the full one.[00:35:53] Olivier Godement: Yeah, so that's exactly that sort of feedback. Essentially what they would love to do is for developers I mean, there's a thing that Sam has been saying like over and over again, like, you know, it's easier said than done, but I think it's directionally correct. As a developer, as a founder, you basically want to build an app which is a bit too difficult for the model today, right?[00:36:12] Olivier Godement: Like, what you think is right, it's like, sort of working, sometimes not working. And that way, you know, that basically gives us like a goalpost, and be like, okay, that's what you need to enable with the next model release, like in a few months. And so I would say that Usually, like, that's the sort of feedback which is like the most useful that I can, like, directly, like, you know, incorporate.[00:36:33] swyx: Awesome. I think that's our time. Thank you so much, guys. Yeah, thank you so much.[00:36:38] AI Charlie: Thank you. We were particularly impressed that Olivier addressed the not safe for work moderation policy question head on, as that had only previously been picked up on in Reddit forums. This is an encouraging sign that we will return to in the closing candor with Sam Altman at the end of this episode.[00:36:57] Romain Huet, Head of DX, OpenAI[00:36:57] AI Charlie: Next, a chat with Roman Hewitt, friend of the pod, AI Engineer World's fair closing keynote speaker, and head of developer experience at OpenAI on his incredible live demos And advice to AI engineers on all the new modalities.[00:37:12] Alessio: Alright, we're live from OpenAI Dev Day. We're with Juan, who just did two great demos on, on stage.[00:37:17] Alessio: And he's been a friend of Latentspace, so thanks for taking some of the time.[00:37:20] Romain Huet: Of course, yeah, thank you for being here and spending the time with us today.[00:37:23] swyx: Yeah, I appreciate appreciate you guys putting this on. I, I know it's like extra work, but it really shows the developers that you're, Care and about reaching out.[00:37:31] Romain Huet: Yeah, of course, I think when you go back to the OpenAI mission, I think for us it's super important that we have the developers involved in everything we do. Making sure that you know, they have all of the tools they need to build successful apps. And we really believe that the developers are always going to invent the ideas, the prototypes, the fun factors of AI that we can't build ourselves.[00:37:49] Romain Huet: So it's really cool to have everyone here.[00:37:51] swyx: We had Michelle from you guys on. Yes, great episode. She very seriously said API is the path to AGI. Correct. And people in our YouTube comments were like, API is not AGI. I'm like, no, she's very serious. API is the path to AGI. Like, you're not going to build everything like the developers are, right?[00:38:08] swyx: Of[00:38:08] Romain Huet: course, yeah, that's the whole value of having a platform and an ecosystem of amazing builders who can, like, in turn, create all of these apps. I'm sure we talked about this before, but there's now more than 3 million developers building on OpenAI, so it's pretty exciting to see all of that energy into creating new things.[00:38:26] Alessio: I was going to say, you built two apps on stage today, an international space station tracker and then a drone. The hardest thing must have been opening Xcode and setting that up. Now, like, the models are so good that they can do everything else. Yes. You had two modes of interaction. You had kind of like a GPT app to get the plan with one, and then you had a cursor to do apply some of the changes.[00:38:47] Alessio: Correct. How should people think about the best way to consume the coding models, especially both for You know, brand new projects and then existing projects that you're trying to modify.[00:38:56] Romain Huet: Yeah. I mean, one of the things that's really cool about O1 Preview and O1 Mini being available in the API is that you can use it in your favorite tools like cursor like I did, right?[00:39:06] Romain Huet: And that's also what like Devin from Cognition can use in their own software engineering agents. In the case of Xcode, like, it's not quite deeply integrated in Xcode, so that's why I had like chat GPT side by side. But it's cool, right, because I could instruct O1 Preview to be, like, my coding partner and brainstorming partner for this app, but also consolidate all of the, the files and architect the app the way I wanted.[00:39:28] Romain Huet: So, all I had to do was just, like, port the code over to Xcode and zero shot the app build. I don't think I conveyed, by the way, how big a deal that is, but, like, you can now create an iPhone app from scratch, describing a lot of intricate details that you want, and your vision comes to life in, like, a minute.[00:39:47] Romain Huet: It's pretty outstanding.[00:39:48] swyx: I have to admit, I was a bit skeptical because if I open up SQL, I don't know anything about iOS programming. You know which file to paste it in. You probably set it up a little bit. So I'm like, I have to go home and test it. And I need the ChatGPT desktop app so that it can tell me where to click.[00:40:04] Romain Huet: Yeah, I mean like, Xcode and iOS development has become easier over the years since they introduced Swift and SwiftUI. I think back in the days of Objective C, or like, you know, the storyboard, it was a bit harder to get in for someone new. But now with Swift and SwiftUI, their dev tools are really exceptional.[00:40:23] Romain Huet: But now when you combine that with O1, as your brainstorming and coding partner, it's like your architect, effectively. That's the best way, I think, to describe O1. People ask me, like, can GPT 4 do some of that? And it certainly can. But I think it will just start spitting out code, right? And I think what's great about O1, is that it can, like, make up a plan.[00:40:42] Romain Huet: In this case, for instance, the iOS app had to fetch data from an API, it had to look at the docs, it had to look at, like, how do I parse this JSON, where do I store this thing, and kind of wire things up together. So that's where it really shines. Is mini or preview the better model that people should be using?[00:40:58] Romain Huet: Like, how? I think people should try both. We're obviously very excited about the upcoming O1 that we shared the evals for. But we noticed that O1 Mini is very, very good at everything math, coding, everything STEM. If you need for your kind of brainstorming or your kind of science part, you need some broader knowledge than reaching for O1 previews better.[00:41:20] Romain Huet: But yeah, I used O1 Mini for my second demo. And it worked perfectly. All I needed was very much like something rooted in code, architecting and wiring up like a front end, a backend, some UDP packets, some web sockets, something very specific. And it did that perfectly.[00:41:35] swyx: And then maybe just talking about voice and Wanderlust, the app that keeps on giving, what's the backstory behind like preparing for all of that?[00:41:44] Romain Huet: You know, it's funny because when last year for Dev Day, we were trying to think about what could be a great demo app to show like an assistive experience. I've always thought travel is a kind of a great use case because you have, like, pictures, you have locations, you have the need for translations, potentially.[00:42:01] Romain Huet: There's like so many use cases that are bounded to travel that I thought last year, let's use a travel app. And that's how Wanderlust came to be. But of course, a year ago, all we had was a text based assistant. And now we thought, well, if there's a voice modality, what if we just bring this app back as a wink.[00:42:19] Romain Huet: And what if we were interacting better with voice? And so with this new demo, what I showed was the ability to like, So, we wanted to have a complete conversation in real time with the app, but also the thing we wanted to highlight was the ability to call tools and functions, right? So, like in this case, we placed a phone call using the Twilio API, interfacing with our AI agents, but developers are so smart that they'll come up with so many great ideas that we could not think of ourselves, right?[00:42:48] Romain Huet: But what if you could have like a, you know, a 911 dispatcher? What if you could have like a customer service? Like center, that is much smarter than what we've been used to today. There's gonna be so many use cases for real time, it's awesome.[00:43:00] swyx: Yeah, and sometimes actually you, you, like this should kill phone trees.[00:43:04] swyx: Like there should not be like dial one[00:43:07] Romain Huet: of course para[00:43:08] swyx: espanol, you know? Yeah, exactly. Or whatever. I dunno.[00:43:12] Romain Huet: I mean, even you starting speaking Spanish would just do the thing, you know you don't even have to ask. So yeah, I'm excited for this future where we don't have to interact with those legacy systems.[00:43:22] swyx: Yeah. Yeah. Is there anything, so you are doing function calling in a streaming environment. So basically it's, it's web sockets. It's UDP, I think. It's basically not guaranteed to be exactly once delivery. Like, is there any coding challenges that you encountered when building this?[00:43:39] Romain Huet: Yeah, it's a bit more delicate to get into it.[00:43:41] Romain Huet: We also think that for now, what we, what we shipped is a, is a beta of this API. I think there's much more to build onto it. It does have the function calling and the tools. But we think that for instance, if you want to have something very robust, On your client side, maybe you want to have web RTC as a client, right?[00:43:58] Romain Huet: And, and as opposed to like directly working with the sockets at scale. So that's why we have partners like Life Kit and Agora if you want to, if you want to use them. And I'm sure we'll have many mores in the, in many more in the future. But yeah, we keep on iterating on that, and I'm sure the feedback of developers in the weeks to come is going to be super critical for us to get it right.[00:44:16] swyx: Yeah, I think LiveKit has been fairly public that they are used in, in the Chachapiti app. Like, is it, it's just all open source, and we just use it directly with OpenAI, or do we use LiveKit Cloud or something?[00:44:28] Romain Huet: So right now we, we released the API, we released some sample code also, and referenced clients for people to get started with our API.[00:44:35] Romain Huet: And we also partnered with LifeKit and Agora, so they also have their own, like ways to help you get started that plugs natively with the real time API. So depending on the use case, people can, can can decide what to use. If you're working on something that's completely client or if you're working on something on the server side, for the voice interaction, you may have different needs, so we want to support all of those.[00:44:55] Alessio: I know you gotta run. Is there anything that you want the AI engineering community to give feedback on specifically, like even down to like, you know, a specific API end point or like, what, what's like the thing that you want? Yeah. I[00:45:08] Romain Huet: mean, you know, if we take a step back, I think dev Day this year is all different from last year and, and in, in a few different ways.[00:45:15] Romain Huet: But one way is that we wanted to keep it intimate, even more intimate than last year. We wanted to make sure that the community is. Thank you very much for joining us on the Spotlight. That's why we have community talks and everything. And the takeaway here is like learning from the very best developers and AI engineers.[00:45:31] Romain Huet: And so, you know we want to learn from them. Most of what we shipped this morning, including things like prompt caching the ability to generate prompts quickly in the playground, or even things like vision fine tuning. These are all things that developers have been asking of us. And so, the takeaway I would, I would leave them with is to say like, Hey, the roadmap that we're working on is heavily influenced by them and their work.[00:45:53] Romain Huet: And so we love feedback From high feature requests, as you say, down to, like, very intricate details of an API endpoint, we love feedback, so yes that's, that's how we, that's how we build this API.[00:46:05] swyx: Yeah, I think the, the model distillation thing as well, it might be, like, the, the most boring, but, like, actually used a lot.[00:46:12] Romain Huet: True, yeah. And I think maybe the most unexpected, right, because I think if I, if I read Twitter correctly the past few days, a lot of people were expecting us. To shape the real time API for speech to speech. I don't think developers were expecting us to have more tools for distillation, and we really think that's gonna be a big deal, right?[00:46:30] Romain Huet: If you're building apps that have you know, you, you want high, like like low latency, low cost, but high performance, high quality on the use case distillation is gonna be amazing.[00:46:40] swyx: Yeah. I sat in the distillation session just now and they showed how they distilled from four oh to four mini and it was like only like a 2% hit in the performance and 50 next.[00:46:49] swyx: Yeah,[00:46:50] Romain Huet: I was there as well for the superhuman kind of use case inspired for an Ebola client. Yeah, this was really good. Cool man! so much for having me. Thanks again for being here today. It's always[00:47:00] AI Charlie: great to have you. As you might have picked up at the end of that chat, there were many sessions throughout the day focused on specific new capabilities.[00:47:08] Michelle Pokrass, Head of API at OpenAI ft. Simon Willison[00:47:08] AI Charlie: Like the new model distillation features combining EVOLs and fine tuning. For our next session, we are delighted to bring back two former guests of the pod, which is something listeners have been greatly enjoying in our second year of doing the Latent Space podcast. Michelle Pokras of the API team joined us recently to talk about structured outputs, and today gave an updated long form session at Dev Day, describing the implementation details of the new structured output mode.[00:47:39] AI Charlie: We also got her updated thoughts on the VoiceMode API we discussed in her episode, now that it is finally announced. She is joined by friend of the pod and super blogger, Simon Willison, who also came back as guest co host in our Dev Day. 2023 episode.[00:47:56] Alessio: Great, we're back live at Dev Day returning guest Michelle and then returning guest co host Fork.[00:48:03] Alessio: Fork, yeah, I don't know. I've lost count. I think it's been a few. Simon Willison is back. Yeah, we just wrapped, we just wrapped everything up. Congrats on, on getting everything everything live. Simon did a great, like, blog, so if you haven't caught up, I[00:48:17] Simon Willison: wrote my, I implemented it. Now, I'm starting my live blog while waiting for the first talk to start, using like GPT 4, I wrote me the Javascript, and I got that live just in time and then, yeah, I was live blogging the whole day.[00:48:28] swyx: Are you a cursor enjoyer?[00:48:29] Simon Willison: I haven't really gotten into cursor yet to be honest. I just haven't spent enough time for it to click, I think. I'm more a copy and paste things out of Cloud and chat GPT. Yeah. It's interesting.[00:48:39] swyx: Yeah. I've converted to cursor and 01 is so easy to just toggle on and off.[00:48:45] Alessio: What's your workflow?[00:48:46] Alessio: VS[00:48:48] Michelle Pokrass: Code co pilot, so Yep, same here. Team co pilot. Co pilot is actually the reason I joined OpenAI. It was, you know, before ChatGPT, this is the thing that really got me. So I'm still into it, but I keep meaning to try out Cursor, and I think now that things have calmed down, I'm gonna give it a real go.[00:49:03] swyx: Yeah, it's a big thing to change your tool of choice.[00:49:06] swyx: Yes,[00:49:06] Michelle Pokrass: yeah, I'm pretty dialed, so.[00:49:09] swyx: I mean, you know, if you want, you can just fork VS Code and make your own. That's the thing to dumb thing, right? We joked about doing a hackathon where the only thing you do is fork VS Code and bet me the best fork win.[00:49:20] Michelle Pokrass: Nice.[00:49:22] swyx: That's actually a really good idea. Yeah, what's up?[00:49:26] swyx: I mean, congrats on launching everything today. I know, like, we touched on it a little bit, but, like, everyone was kind of guessing that Voice API was coming, and, like, we talked about it in our episode. How do you feel going into the launch? Like, any design decisions that you want to highlight?[00:49:41] Michelle Pokrass: Yeah, super jazzed about it. The team has been working on it for a while. It's, like, a very different API for us. It's the first WebSocket API, so a lot of different design decisions to be made. It's, like, what kind of events do you send? When do you send an event? What are the event names? What do you send, like, on connection versus on future messages?[00:49:57] Michelle Pokrass: So there have been a lot of interesting decisions there. The team has also hacked together really cool projects as we've been testing it. One that I really liked is we had an internal hack a thon for the API team. And some folks built like a little hack that you could use to, like VIM with voice mode, so like, control vim, and you would tell them on like, nice, write a file and it would, you know, know all the vim commands and, and pipe those in.[00:50:18] Michelle Pokrass: So yeah, a lot of cool stuff we've been hacking on and really excited to see what people build with it.[00:50:23] Simon Willison: I've gotta call out a demo from today. I think it was Katja had a 3D visualization of the solar system, like WebGL solar system, you could talk to. That is one of the coolest conference demos I've ever seen.[00:50:33] Simon Willison: That was so convincing. I really want the code. I really want the code for that to get put out there. I'll talk[00:50:39] Michelle Pokrass: to the team. I think we can[00:50:40] Simon Willison: probably

In this conversation, Simon Elisha interviews Colm MacCárthaigh, Vice President and Distinguished Engineer at AWS, about his background in technology and his work at Amazon. They discuss topics such as Colm's first computer, his role in building the European sovereign cloud, and his involvement in the creation of the S2N open-source library for TLS and SSL protocols. They also explore the importance of writing code and staying relevant in the industry, as well as the operational metrics meetings at AWS. They also talk about the role of call leaders in handling large operational events and the importance of staying calm and focused in stressful situations. Colm shares his experience with patents and his preference for the Vim editor. They also touch on the Nitro Enclave technology and Colm's passion for music.

So-de-licious. Hairy Metal with Dunaway. Tomorrow we Celebrate FREEDOM... Freedom from TMS. Rah! Rah! Wrong team! The Cracks in Tina. Well Pat my Cheese steak. Certified Companions Let It Rip. F Minor Bombs. Tom's got the Vim. killer cords from outer space. Van batting for the other team. Rat-a-too-tees. Sorry Canada. Soda bubbles are devil's farts. They had hair and were a band. Dilated Anus and Euphoric Recommentals and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.