Podcasts about objective c

Bienvenue dans le deux-cent-quatre-vingt-douzième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: UIScene - Vos applications UIKit devront l'adopter Empreinte carbone ChatGPT - D'autres calculs plus conservateurs IA et O'Reilly - La fin de la programmation comme on la connaît? L'IA est le futur - Ne soyez pas en reste Jot - Pour faire des tokens JWT en Swift avec CryptoKit mobygratis - Plus de 500 pistes pour vos projets Ecoutez cet épisode

Bienvenue dans le deux-cent-quatre-vingt-onzième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: WWDC25 - Du 9 au 13 juin! GoSSL - Une alternative européenne à LetsEncrypt TextReplacements - Pour personnaliser du texte en SwiftUI Curseur texte - Il vous dérange? On peut le désactiver Tumult - Un plugin zsh avec plein de petits scripts utiles Unwatched - Un lecteur YouTube en code-source libre The Egg - Une historiette d'Andy Weir Ecoutez cet épisode

Bienvenue dans le deux-cent-quatre-vingt-dixième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Nouveaux Macs - Mac Studio M4 Max & M3 Ultra + Macbook Air M4 Swift-build - Maintenant en code-source libre Cmd-Maj-O - Fonctionne sur les sites en DocC Jellyfin - Maintenant sur iOS Ecoutez cet épisode

Bienvenue dans le deux-cent-quatre-vingt-neuvième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Fireside Cocoa - Les impressions de Philippe iPhone 16e - Le moins cher des iPhones? MapleScan - Fait au Canada Alternatives UE - Cherchez-vous une alternative à l'hégémonie américaine? Spices - Créez des vues de débogage en SwiftUI Arm64-to-sim - Pour les frameworks récalcitrants Astuce Finder - Renommer plusieurs fichiers simultanément BusySimulator - Faites semblant d'être occupé Astuce IA - Le mot en F toujours utile Ecoutez cet épisode

Intro topic: Lego event space & retail store: https://www.instagram.com/bambeecave News/Links:StackOverflow Question Count Going Down https://gist.github.com/hopeseekr/f522e380e35745bd5bdc3269a9f0b132DeepSeek claims its ‘reasoning' model beats OpenAI's o1 on certain benchmarkshttps://techcrunch.com/2025/01/20/deepseek-claims-its-reasoning-model-beats-openais-o1-on-certain-benchmarks/ Computer Science Papers Every Developer Should Readhttps://newsletter.techworld-with-milan.com/p/computer-science-papers-every-developerNvidia Cosmos - an AI platform to change the future of robots and cars - wins Best of CES 2025https://www.zdnet.com/article/nvidia-signs-largest-car-maker-toyota-to-use-its-self-driving-tech/ Book of the ShowPatrick: Alice's Adventures in a differentiable wonderlandhttps://www.sscardapane.it/alice-book/Jason: A Beautiful Day in the Neighborhood (Hulu/Netflix/etc)Patreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Digseumhttps://store.steampowered.com/app/3361470/Digseum/Jason: Sqlitedict - Python dictionaries saved to diskTopic: Project Planning and ManagementWhy?Gathering feedbackIdentifying risksDeciding future headcountDocumenting / discovering dependenciesCritical pathScheduleReduce the bullwhip effectHow it worksSMART goalsspecific, measurable, achievable, relevant, and time-boundMT is most importantGantt ChartsScrumAgileKanbanToolsWhiteboard (the generic IRL one)Post it notesJIRAAsanaOpenProjectDealing with uncertaintyBufferingIssues with recursive paddingProject planning Post-Mortems ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-huitième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Bambu Lab - La controverse CotEditor - Éditeur en code source AppIconKit - Pour que vos utilisateurs changent l'icône de votre application AutoDock - Cachez votre dock en fonction de la taille de vos écrans Swift concurrency - Un glossaire Ecoutez cet épisode

A special episode to kick off the new year, not only are you getting this one advert free but we have listener contributions.We discuss our plans for 2025 and hear from our listeners as to their goals for the next 12 months.As mentioned in this episodeCocoatype.comPeterWitham.comDanielSincere.comJared - apialerts.comDalton's Github ★ Support this podcast on Patreon ★ (00:00) - Introduction (01:23) - Apps we are retiring (04:27) - Any pivots this year? (06:01) - New apps (12:17) - Educational plans (18:58) - Conferences (25:56) - Listener plans (32:32) - The wrap (33:21) - Support the podcast Thanks to our monthly supporters Marko Wiese Adam Wulf bitSpectre Arclite

Bienvenue dans le deux-cent-quatre-vingt-septième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Advent of code - L'expérience de Philippe Bambu Lab - Cadeau de Noël de Philippe SwiftUI - Session en ligne par Apple Aperçus SwiftUI - Ils peuvent prendre de la place Sélecteur d'application - Des raccourcis clavier Kodex - Un éditeur de texte complet pour iOS avec iCloud Drive AquaUI - Un look rétro pour votre application Mac Ecoutez cet épisode

Welcome to the Compile Swift Apple calendar. In our end-of-year wrap, we look back at 12 months of Apple.All the things you may or may not remember from the year, along with some personal milestones.On a personal note, we want to thank our Patrons and listeners for their support. You have helped keep the Podcast alive this year, and we look forward to sharing even more with you in 2025.Thank you(00:00) - Introduction (00:13) - Support the podcast (01:05) - January (03:59) - February (10:57) - Become a member (11:17) - March (13:35) - April (14:09) - May (19:25) - June (25:37) - Get SetApp over 200 Mac apps (26:52) - July (30:37) - August (31:24) - September (39:56) - October (46:44) - Support this Podcast (47:04) - November (47:42) - December (54:19) - The Wrap LinksApple announces changes to iOS, Safari, and the App Store in the European UnionApple Vision Pro arrives in Apple Store locations across the U.S.Introducing Apple Sports, a new app for sports fansApple unveils the new 13- and 15-inch MacBook Air with the powerful M3 chipApple introduces transcripts for Apple PodcastsApple introduces M4 chipApple unveils the redesigned 11-inch and all-new 13-inch iPad Air with M2Apple unveils stunning new iPad Pro with M4 chip and Apple Pencil ProApple Music reveals top 10 albums of all time on 100 Best listWWDC24 Highlights - AppleApple Vision Pro arrives in China mainland, Hong Kong, Japan, and SingaporeApple Maps on the web launches in betahttps://www.compileswift.com/podcast/s07e11/Introducing Apple Watch Series 10Apple introduces iPhone 16 and iPhone 16 PlusApple debuts iPhone 16 Pro and iPhone 16 Pro MaxiPadOS 18 is now available, taking iPad to the next level with powerful new intelligence features and experiences designed for Apple PencilmacOS Sequoia is available today, bringing iPhone Mirroring, Apple Intelligence, and more to MaciOS 18 is available today, making iPhone more personal and capable than ever - ApplewatchOS 11 is available today - AppletvOS 18 is now available - AppleGeoff launches a new app, Barc. His launch video gets 66k views on YouTube.Apple introduces powerful new iPad mini built for Apple IntelligenceApple Intelligence is available today on iPhone, iPad, and MacApple unveils the new iMac with M4, supercharged by Apple Intelligence and available in fresh colorsApple's new Mac mini is more mighty, more mini, and built for Apple IntelligenceNew MacBook Pro features M4 family of chips and Apple IntelligenceApple introduces M4 Pro and M4 MaxApple shares the most popular podcasts of 2024Apple Intelligence now features Image Playground, Genmoji, and moreHis Majesty King Charles III visits Apple's U.K. headquarters Thanks to our monthly supporters Marko Wiese Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

App store presence and optimization can be as simple or complicated as you choose. The short advice is that the more you put in, the more you get out.We dive into details and suggestions in this episode based on our experiences.(00:00) - Introduction (01:30) - What is App Store Presence? (09:56) - Become a member (12:54) - Keywording (15:51) - Privacy and age rating (20:50) - Clean My Mac (24:00) - Visuals (32:49) - Learning resources (35:31) - SetApp (36:46) - Tools As mentioned in this episodehttps://developer.apple.com/help/app-store-connect/manage-app-information/upload-app-previews-and-screenshots/https://www.youtube.com/@appfigureshttps://appfigures.com/resources/guideshttps://subclub.com/https://developer.apple.com/app-store/custom-product-pages/https://developer.apple.com/help/app-store-connect/manage-featuring-nominations/nominate-your-app-for-featuring/https://helm-app.com/https://rotato.app/https://www.sketch.com/ Thanks to our monthly supporters Marko Wiese Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-sixième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Advent of code - De retour pour 2024 (suivez Philippe!) MomBoard - Pour un proche avec pertes cognitives Raspberry Pi - Un Pico 2 avec Wifi pour $10? Mac Mini 3D - Si vous en voulez un mais vous n'en avez pas besoin Festivitas - Joyeux temps des fêtes sur votre Mac Ecoutez cet épisode

Intro topic: Smart homesNews/Links:SpaceX Starship Flight Test Five / Sixhttps://www.youtube.com/watch?v=pIKI7y3DTXkShareDBhttps://github.com/share/sharedbOrion AR Glasseshttps://about.fb.com/news/2024/09/introducing-orion-our-first-true-augmented-reality-glasses/Blade and Sorcery 1.0 is outhttps://www.meta.com/experiences/blade-sorcery-nomad/2031826350263349/Book of the ShowPatrick: The Book that Wouldn't Burn by Mark Lawrencehttps://amzn.to/4fry2XWJason: Masters of Doomhttps://amzn.to/3YxuD3cPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Balatrohttps://www.playbalatro.com/Jason: Cursor IDEhttps://www.cursor.com/Topic: Working from HomeIntroBackground & WFH experiencesIs it Panacea?Realizing it works better for some than othersInternally MotivatedSchedulingCommunicationsHome SetupDedicated spaceHandling Non-work DistractionsKeyboards, Monitors, Music, … Desk related thingsThe specter of RTO ★ Support this podcast on Patreon ★

This week, we discuss serverside Swift using Hummingbird. We also discuss Vapor to compare the two experiences.(00:00) - Introduction (08:44) - Clean My Mac (28:20) - Coffee Time (34:17) - Cocoatype.com (34:57) - Support the podcast https://www.compileswift.com/podcast/s06e12/https://vapor.codes/https://hummingbird.codes/Clean My Mac Thanks to our monthly supporters Emerson Warwick Marko Wiese Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-cinquième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: iPad mini - Pas de 5k Mac mini - Petit mais costaud! Macbook Pro - Avec Apple Intelligence Swift-format - Un formateur Swift inclus dans Xcode 16 Swift Testing - Pour convertir vos tests au nouveau modèle de tests DeckUI - Compliquez-vous la vie pour vos présentations Oeuvres d'art numérisées - Le Met vous en met plein la vue Ecoutez cet épisode

Adegboyega Olusunmade joins to talk about building his Full Stack Swift app Lyriq and what did he learn along the way: the differences between building an iOS app and a server app to deploying a server application.GuestAdegboyega Olusunmade (@AdeOlusunmade) / XAnnouncementsNeed help with your projects this year? BrightDigit has openings.Join Bushel BetaJoin our Brand New Patreon Page!BrightDigit #100 - Top 10 Emails Ever!

This week's episode discusses AI tools and their applications for developers. The hosts share their experiences using AI chatbots, highlighting their usefulness for code generation, problem-solving guidance, and code explanation. They also discuss the benefits of AI tools for finding code snippets and remembering API names.AI tools are useful for developers, especially when dealing with outdated or obscure technologies, as they can provide accurate and relevant information. While Apple's predictive code completion in Xcode has its limitations, it is a step towards integrating AI into developer tools. However, the lack of progress on Apple's promised chat-based tool, Swift Assist, raises concerns about Apple's ability to compete in the rapidly evolving AI landscape.Mentioned in this episodeDeveloper DuckCursorGitHub Copilot for XcodeClean My MacFollow Peterhttps://peterwitham.comFollow Geoffhttps://cocoatype.comBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswift Thanks to our monthly supporters Emerson Warwick Marko Wiese Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Intro topic:  Buying a CarNews/Links:Cognitive Load is what Mattershttps://github.com/zakirullin/cognitive-loadDiffusion models are Real-Time Game Engineshttps://gamengen.github.io/Your Company Needs Junior Devshttps://softwaredoug.com/blog/2024/09/07/your-team-needs-juniorsSeamless Streaming / Fish Speech / LLaMA OmniSeamless: https://huggingface.co/facebook/seamless-streamingFish: https://github.com/fishaudio/fish-speech LLaMA Omni: https://github.com/ictnlp/LLaMA-Omni Book of the ShowPatrick: Thought Emporium Youtubehttps://youtu.be/8X1_HEJk2Hw?si=T8EaHul-QMahyUvQJason: Novel Mindshttps://www.novelminds.ai/Patreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Escape Simulatorhttps://pinestudio.com/games/escape-simulator/Jason: Cursor IDEhttps://www.cursor.com/Topic: Vector Databases (~54 min)How computers represent data traditionallyASCII valuesRGB valuesHow traditional compression worksHuffman encoding (tree structure)Lossy example: Fourier Transform & store coefficientsHow embeddings are computedPairwise (contrastive) methodsForward models (self-supervised)Similarity metricsApproximate Nearest Neighbors (ANN)Sub-Linear ANNClusteringSpace Partitioning (e.g. K-D Trees)What a vector database doesPerform nearest-neighbors with many different similarity metricsStore the vectors and the data structures to support sub-linear ANNHandle updates, deletes, rebalancing/reclustering, backups/restoresExamplespgvector: a vector-database plugin for postgresWeaviate, Pinecone Milvus ★ Support this podcast on Patreon ★

App intents can be exposed in various ways beyond shortcuts, such as custom controls, focus filters, and spotlight actions. They enable users to perform specific actions without launching the app, making them more accessible and user-friendly. App intents can also be used to configure widgets, interact with hardware, and handle preferences, providing a seamless user experience across different platforms.(00:00) - Introduction (04:20) - App Intents (06:57) - Become a member (07:17) - Some examples (16:31) - Action Centered Design (17:52) - Get some Coffee (20:04) - Examples from Barc (21:39) - What makes a good App Intent (27:26) - Creating an App Intent (30:03) - Using Queries and Configuration (32:36) - Get SetApp (55:35) - Cocoatype.com (55:38) - Support the podcast Mentioned in this episodeThe way we interact with apps is changing, so should the way they are designedWWDC Developer video for getting started with App IntentsBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-quatrième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: iPad mini - Avec Apple Intelligence Croissant - Pour publier sur Mastodon, Threads et Bluesky ReactiveCollectionKit - Un framework moderne pour remplacer IGListKit TinyStorage - Pour éviter des problèmes subtils avec UserDefaults Toucan - Un autre générateur de sites web en Swift Fireside Cocoa - Skiez les Rocheuses au Colorado Ecoutez cet épisode

I interviewed Gorkem Ercan from Jozu about a few essential topics within the development ecosystem that apply to many different technologies, including Apple development.Gorkem at JozuEclipse Foundation(00:00) - Introduction (00:23) - Jozu (01:54) - Eclipse Foundation (08:10) - Train your inbox (09:46) - Open Source (12:25) - CI/CD (18:17) - Support the Podcast (18:37) - AI/ML (31:06) - Coffee is on me (44:18) - Jozu (44:42) - Support the podcast (44:49) - Rate and review Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Part two of two where we discuss the numbers along with the approach taken by the Panels appLink to the video released by Marques Brownlee after our recordingBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Part one of two where we discuss app pricing. The many different models and approaches with our takes and opinions on each. In part 2 we will dive into the numbers!(00:00) - Introduction (02:26) - Different flavors of pricing (08:50) - Become a member (09:11) - Expectancy at cost levels (21:56) - Trade Coffee (24:09) - The developer dilema (43:17) - SetApp (44:32) - Different models (53:25) - Rate and review (54:10) - Cocoatype (54:19) - Support the podcast Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

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

Bienvenue dans le deux-cent-quatre-vingt-troisième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: NotebookML - Un podcast à partir de texte? Hummingbird 2.0 - Maintenant avec un vrai site web SimpleCalendar - Pour présenter vos calendriers OCXML - Génerez du XML en quelques lignes de Swift Mocking URLSession - Pour vos tests unitaires Goshdarnappleversionnumbers - Ça devient compliqué toutes ces versions Ecoutez cet épisode

James Morse: Software Engineer at CiscoSystem Administrator to DevOpsDifference between DevOps and MLOpsGetting Started with DevOpsLuke Marsden: CEO of Helix MLHow to start a business at 15 years oldBTRFS vs ZFSMLOps: the intersection of software, DevOps and AIFine-tuning AI on the CloudSome advice for folks interested in ML OpsYuval Fernbach: CTO MLOps & JFrogStarting QuarkGoing from a jupyter notebook to productionML Supply ChainGetting started in Machine LearningStephen Chin: VP of DevRel at Neo4JDeveloper Relations: The JobWhat is a Large Language Model?Knowledge graphs and the Linkage ModelHow to Use Graph databases in EnterpriseHow to get into ML Ops ★ Support this podcast on Patreon ★

This week, we discuss TestFlight, what it is, how to use it, and why you should use it.(00:00) - Introduction (11:26) - Support this Podcast (25:41) - SetApp (40:33) - Support the podcast (40:43) - Rate and review Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

In this episode of the Compile Swift Podcast, hosts Jeff and Peter discuss the recent Apple "Nine-Nine" event, discussing the latest hardware announcements and their implications for developers. They reflect on how predictable Apple's product releases have become, highlighting the incremental updates across their platforms, particularly the new iPhone's "Capture Control" feature. The hosts explore the functionality of this new control, which allows users to adjust zoom and exposure settings directly from the side of the iPhone and how it compares to existing features like the volume button for taking photos. They also discuss the developer experience, including the built-in controls provided by Apple and the potential for creating custom controls. Additionally, they touch on the importance of understanding user needs when integrating new features into apps and the potential for future enhancements as Apple continues to evolve its technology. Join Geoff and Peter as they unpack these developments and share insights on how developers can leverage new tools to enhance their applications. (00:00) - Introduction (00:08) - Apple Event - We nailed it (03:11) - A developers perspective (10:09) - Support this Podcast (22:06) - Free Coffee (27:06) - When do we embrace the new (33:47) - Support the podcast (34:05) - Rate and review Links:- Website: compileswift.com- Twitch: twitch.tv/compiledev- Geoff's site: cocoatype.com If you found this episode helpful, please share it with someone who might benefit from it! For exclusive content, consider supporting us on Patreon at patreon.com/compileswift. Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-deuxième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: cacaocast.com - Écrit en Swift avec Ignite Apple - Annonces du 9 septembre 2024 Ecoutez cet épisode

In this episode of the CompileSwift podcast, the hosts discuss Swift 6 migration, highlighting its non-breaking changes and new features like module-level access control and data race safety. They emphasize gradual migration, the importance of planning, and the benefits of new data types.Swift 6 migration guideHacking with Swift - What's new in Swift 6Non-Sendable types are cool too you knowBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Tung Vo Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

This is a landmark episode as we say hello to the new co-host. Plus, we discussed Apple's upcoming event, which is expected to feature new iPhones. But what else might we get?(00:00) - Introduction (00:30) - Hello Co-Host (01:21) - Apple 9/9/24 Event is Coming (08:28) - SetApp (09:43) - New Hardware Speculation (19:31) - Become a member (19:51) - AI Services+? (23:56) - AI on the Mac (26:42) - Any other hardware rumors? (33:46) - Cocoatype.com (33:58) - Support the podcast (34:08) - Rate and review As mentioned in this episodeCocoatype.comBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftFollow on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

This week, Peter Witham discusses the emergence of alternative app stores and what they mean for developers. He asks for listeners' experiences and thoughts on managing multiple app store requirements, including code signing and security. He also touches on Apple's reminder about trader status for the European market. He wraps up by emphasizing the importance of testing apps against the latest beta versions of Apple's operating systems and Xcode.(00:00) - Introduction (00:11) - Thank you new Patreon members (00:46) - Alternative app stores go live (05:17) - Get some Coffee (07:29) - Have you done the trader status? (09:54) - Are you ready for the new OS and Xcode versions? (12:31) - Support the podcast (12:57) - Rate and review Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

In this episode of the Compile Swift Podcast, host Peter Witham interviews Joe Fabisevich, an experienced iOS developer and indie app creator. Joe discusses his journey in app development, including his work at notable companies like Twitter and Bitly, and his transition to creating his app, Plinky. Plinky is a link-saving app designed for quick and customizable link organization. It features share extensions and an open API. Joe shares the app's origin story, which stemmed from his need to save and share links with his wife, Colleen. He emphasizes the app's speed, customizability, and extensibility, making it suitable for various users and workflows.The conversation also touches on Joe's experience of getting Plinky featured in the App Store shortly after its launch, which he describes as a validating moment. He credits his wife, a product marketer, for her support in the marketing process. Joe highlights the importance of intrinsic motivation in app development and the value of connecting with users through customer support.Listeners are encouraged to check out Plinky and follow Joe on social media.Plinky AppPlinky NewsletterJoe on ThreadsBoutique on GitHub(00:00) - Introduction (00:41) - Joe Fabisevich (02:07) - Plinky (11:13) - A tool for everybody (16:12) - Sharing is caring (16:58) - Boutique data (26:34) - Free Coffee (28:46) - Being featured on the AppStore (33:59) - Customer connections (40:20) - Become a Patreon member (40:40) - Motivation (47:24) - Thanks Joe (48:48) - CompileSwift.com Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Adam Wulf bitSpectre Arclite ★ Support this podcast on Patreon ★

175: Resume WritingIntro topic:  DSLR Photography vs Camera PhoneNews/Links:Free Internet while flying by abusing edits to your profile namehttps://robertheaton.com/pyskywifi/Making Animated Characters with AI Arthttps://www.youtube.com/watch?v=zSN76gb_Z28On 10x Engineershttps://stackoverflow.blog/2024/06/19/the-real-10x-developer-makes-their-whole-team-better/The Beauty and Challenges of AI-Generated Artistic Gymnasticshttps://www.youtube.com/watch?v=YwJIYj3hPAUBook of the ShowPatrick: The Three Body Problem by Cixin Liuhttps://amzn.to/3xNEoRBJason: The Checklist Manifestohttps://amzn.to/3W2JjpMPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Super Mario Bros. Wonder (Nintendo Switch)https://amzn.to/3S9VJLfJason: Amazon Qhttps://marketplace.visualstudio.com/items?itemName=AmazonWebServices.amazon-q-vscodeTopic: Resume Writing (Courtesy of Matthew C.)Why have a resume?Many jobs require it to get into the considerationToday many are screened for keywords automaticallyLog for future youWhat is a resume?One-page descriptionKey accomplishments & experiencesComparison to CVReferencesHow to write a good resume?Do'sInclude your github if it has good contributionsBe specific (dates, locations, skills)Isolate your specific contributionsBe accurate/honestBe conciseBe ready to discuss any point you have on the resumeList hobbies/activities/extracurricularsDon'tsHave mistakes (especially dates)Use images (most companies use text extraction)Use it as a design portfolioPut social qualities (e.gs. hard-working, motivated, friendly)Use fancy templates/toolsResourcesManager Tools: How to scan resumes https://www.manager-tools.com/2016/05/how-scan-resume-part-1 Google docsLatex/Lyx for CVsHow to think about your career and how it impacts your future resume writing (career planning)Technologies and architectures more than specifics of project detailsHow various choices may age over time ★ Support this podcast on Patreon ★

An exclusive episode for the Patreon members and supporters is now posted over at www.patreon.com/compileswiftLearn why you need to protect your apps from incoming data and how to program defensively to handle those situations. Thanks to our monthly supporters bitSpectre Arclite ★ Support this podcast on Patreon ★

This week, I delved into whether to embrace or avoid new APIs in Apple's upcoming operating systems. I encountered a few challenges while working on my Mac iOS app, which I aimed to have a modern look. Inspired by Apple developer videos, I wanted to incorporate features like a navigation split view and fancy backgrounds, similar to the design of CleanMyMac.However, I hit a snag when they were in a part of the app's window. Even AI couldn't solve it. Finally, I found a solution in a video on the Apple developer portal, which involved using modifiers only available in macOS 15. Faced with a choice, I implemented conditional code to keep compatibility with macOS 14 while enabling new features for macOS 15 and beyond.Using conditional code, such as #if available(macOS 15, *), I can target specific OS versions and ensure my app remains functional across different versions without cutting off users. This technique can be applied to various scenarios, not just API availability, making it a versatile tool.Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters bitSpectre Arclite ★ Support this podcast on Patreon ★

In this episode of the Compile Swift podcast, the latest beta four releases from Apple, including iOS 18, iPadOS 18, macOS 15, tvOS, visionOS, and watchOS.I urge listeners not to install beta versions on primary devices used for daily work to avoid potential issues.Plus, a detailed guide on safely installing macOS betas on a separate APFS container or an external Thunderbolt drive to experiment without risking primary data.Mentioned in this episodeThunderbolt 4 External drive caseNVMe 2TB drive(affiliate links to support the Podcast)Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmc(00:00) - Introduction (00:18) - Beta 4 releases (01:09) - How are they to install on devices? (01:53) - Become a member (02:13) - The Pro and Con of installing (05:36) - Setting up macOS Sequoia & Sonoma (07:06) - Hardware I use (09:22) - Thunderbolt 4 external case (10:09) - SetApp (11:24) - Booting M Mac into recovery mode (15:12) - Install Sequoia beta over Sonoma (17:44) - Now have fun (18:57) - Support the podcast (19:43) - Rate and review Follow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

Everything we write becomes legacy code once it's written. That means technical debt in the future, so how can we do a better job today to help future us tomorrow?Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

I had great time chatting with Danielle Lewis about her experience becoming a Swift developer, learning to develop for the Vision Pro, and getting the Magical world of Objective-C.GuestDanielle LewisDanielle (@dlewisdev) / XDanielle Lewis - YouTubeDanielle Lewis - DEV CommunityAnnouncementsNeed help with your projects this year? BrightDigit has openings.Join Bushel BetaLiveStreaming on YouTube Join our Brand New Patreon Page!Related EpisodesSwift Student Challenge with Dezmond Blair | BrightDigitWWDC Notes with Cihat Gündüz | BrightDigitSOTU 2024 with Peter Witham | BrightDigitApple's App Vision with Kyle Lee | BrightDigitPixelBlitz in Public with Martin Lasek | BrightDigitSpatial Experiences of the Wild with Adrian Eves | BrightDigitObjective-C Today with Graham Lee | BrightDigitSocial MediaEmailleo@brightdigit.comGitHub - @brightdigitTwitter BrightDigit - @brightdigitLeo - @leogdionLinkedInBrightDigitLeoPatreon - brightdigitCreditsMusic from https://filmmusic.io"Blippy Trance" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/) (00:00) - Getting into visionOS Development (07:09) - WWDC, visionOS, and LLMs (15:44) - Getting into Objective-C (24:42) - Building in Public Thanks to our monthly supporters Danielle Lewis Steven Lipton ★ Support this podcast on Patreon ★

In this episode, I will explain why it is essential to promote yourself. The short answer is that nobody else will do it for you.So, here are eight tips to get you started on the path to success.(00:00) - Introduction (00:11) - Why should you promote yourself (02:36) - Tip 1 - Networking (04:43) - Tip 2 - Starting out (05:55) - Tip 3 - For Introverts (06:27) - Support the future of this Podcast (06:47) - Tip 4 - Be known for helping (08:32) - Tip 5 - Start a blog (10:37) - Tip 6 - Join a Discord or Slack (12:25) - Tip 7 - Podcasting (12:43) - Tip 8 - Live streaming (14:38) - Support the podcast (15:46) - Rate and review Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingt-unième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Apple - Rencontrez les spécialistes? VirtualBuddy - Tout baigne Wisdom of Quinn - Les conseils de Quinn pérennisés Swift migration guide - Le guide officiel de Swift 6 Astuce Xcode - Ctrl- pour naviguer entre les sections modifiées de votre code Astuce Xcode - Coller du texte dans la zone de navigation pour créer un nouveau fichier Le guide du routard galactique - Gratuit en ligne pour le 30e anniversaire Ecoutez cet épisode

Bienvenue dans le deux-cent-quatre-vingt-unième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Apple - Rencontrez les spécialistes? VirtualBuddy - Tout baigne Wisdom of Quinn - Les conseils de Quinn pérennisés Swift migration guide - Le guide officiel de Swift 6 Astuce Xcode - Ctrl- pour naviguer entre les sections modifiées de votre code Astuce Xcode - Coller du texte dans la zone de navigation pour créer un nouveau fichier Le guide du routard galactique - Gratuit en ligne pour le 30e anniversaire Ecoutez cet épisode

In this episode, I introduce the open-source code editor Zed and its new features like Swift support and real-time collaboration.I also share my experiences with the predictive assist feature in Xcode 16 beta.Lastly, I provide an in-depth comparison of various iPads, discussing the pros and cons of potential upgrades as an iPad Pro M1 owner.Zed code editorBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift(00:00) - Introduction (00:13) - Zed code editor (03:46) - CompileDev livestreams (04:03) - Xcode 16 predictive assist (06:33) - Support the future of this podcast (06:53) - iPad upgrading decisions (12:20) - Support the podcast (13:08) - Rate and review Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

I reflect on WWDC 2024 and share my thoughts on the new technologies and updates from the conference.I discuss my plans to transition to SwiftData, explore the new AI technologies announced, and provide insights into RealityKit and Vision Pro.Additionally, I recommend which WWDC videos to watch to get the most out of the new updates.Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

Bienvenue dans le deux-cent-quatre-vingtième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: Apple - Les annonces de la WWDC Réinitialisation des statistiques - Faites-en un raccourci Ecoutez cet épisode

I am joined by some good friends to discuss the opening day of the Apple developer conference and all the new announcements. As a consumer and a developer, I am excited about many things this year.(00:00) - Introduction (00:09) - WWDC24 Roundtable (00:35) - Cocoatype (00:47) - Nutterfi (00:59) - Those streamer folks (01:12) - All the new OS versions (01:22) - visionOS 2 (05:46) - iPhone & Apple Intelligence (16:28) - Become a member (16:48) - macOS (18:02) - watchOS (21:54) - iPadOS (23:21) - New API fun (27:00) - Nutterfi SwiftUI Father (29:10) - Swift 6 (31:48) - SetApp (33:03) - Xcode 16 (41:57) - The wrap (42:25) - Nutterfi (42:55) - Cocoatype (43:18) - CompileSwift (43:34) - Support the podcast (43:45) - Rate and review Guests in this episodeCocoatypeNutterfiBecome a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

Intro topic:  Social Media Auto Responder LLMNews/Links:Amazon releases Amazon Qhttps://press.aboutamazon.com/2024/4/aws-announces-general-availability-of-amazon-q-the-most-capable-generative-ai-powered-assistant-for-accelerating-software-development-and-leveraging-companies-internal-dataCheap RiscV “Super Cluster” from BitluniDIY 256-Core RISC-V super computerhttps://www.youtube.com/watch?v=-4d3PgEXhdYCH32V203Phi 3 Vision Releasedhttps://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/OllamaChatGPT 4ohttps://openai.com/index/hello-gpt-4o/Book of the ShowPatrick: MyFirstMillion Podcasthttps://www.mfmpod.com/Jason: A Path Towards Autonomous Machine Intelligencehttps://openreview.net/pdf?id=BZ5a1r-kVsfPatreon https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Dave the Diverhttps://store.steampowered.com/app/1868140/DAVE_THE_DIVER/Jason: Turing Completehttps://store.steampowered.com/app/1444480/Turing_Complete/ Topic: DevOpsWhat is DevOpsDevOps vs SREWhy DevOps is importantEngineering time is expensiveOutages can hurt company metrics & reputationBuild & Testing InfrastructureBazel & Build/Test IdempotencyBuild/Test FarmsBuildBarnGithub ActionsJenkinsInfrastructure as codeTerraformBlue Green DeploymentContinuous Everything!Continuous IntegrationContinuous DeploymentHow to Measure DevOpsBuild TimesRelease cadenceBug tracking / round trip timesEngineer SurveysTime spent doing what you enjoyDevOps Horror Stories ★ Support this podcast on Patreon ★

We are just a few days from WWDC24 as this Podcast hits the feed. I'm not making predictions; I'm making some sensible wishes and hopes for what we might get, mostly from the perspective of a developer.--------Join the DevClub Discord to take part in our WWDC24 celebrations.--------Become a Patreon member and help this Podcast survivehttps://www.patreon.com/compileswiftPlease leave a review and show your supporthttps://lovethepodcast.com/compileswiftYou can also show your support by buying me a coffeehttps://peterwitham.com/bmcFollow me on Mastodonhttps://iosdev.space/@Compileswift Thanks to our monthly supporters Arclite ★ Support this podcast on Patreon ★

173: Mocking and Unit TestsIntro topic:  HeadphonesNews/Links:Texas A&M University Physics Festivalhttps://physicsfestival.tamu.edu/Rust vs Cpp at GoogleLars Bergstrom (Google Director of Engineering): Rust teams at Google are as productive as the ones using Go and 2x those using Cpphttps://youtu.be/6mZRWFQRvmw?t=27012Is Cosine Similarity Really About Similarityhttps://arxiv.org/abs/2403.05440Xz utils supply chain attackAndres Freund at Microsofthttps://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/Book of the ShowPatrick:80/20 Running by Matt Fitzgeraldhttps://amzn.to/3xyEKLoJason: A Movie Making Nerdhttps://amzn.to/49ycDJjPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Shapez Android: https://play.google.com/store/apps/details?id=com.playdigious.shapez&hl=en_US&gl=USShapez iOS: https://apps.apple.com/us/app/shapez-factory-game/id6450830779Jason: Dwarf Fortresshttps://store.steampowered.com/app/975370/Dwarf_Fortress/Topic: Mocking and Unit TestsWhat are Unit TestsBalance between utility, maintenance, and coverageUnit Test: testing small functionsRegression Test: Testing larger functionsSystem Test: End-to-end testing of programsWhat are mocks & fakesWhen to use mock vs. fakeMocking libraries in various languagesPython: https://docs.python.org/3/library/unittest.mock.htmlJava: https://github.com/mockito/mockitoC++:  https://github.com/google/googletest ★ Support this podcast on Patreon ★

172: Transformers and Large Language ModelsIntro topic: Is WFH actually WFC?News/Links:Falsehoods Junior Developers Believe about Becoming Seniorhttps://vadimkravcenko.com/shorts/falsehoods-junior-developers-believe-about-becoming-senior/Pure PursuitTutorial with python code: https://wiki.purduesigbots.com/software/control-algorithms/basic-pure-pursuit Video example: https://www.youtube.com/watch?v=qYR7mmcwT2w PID without a PHDhttps://www.wescottdesign.com/articles/pid/pidWithoutAPhd.pdfGoogle releases Gemmahttps://blog.google/technology/developers/gemma-open-models/Book of the ShowPatrick: The Eye of the World by Robert Jordan (Wheel of Time)https://amzn.to/3uEhg6vJason: How to Make a Video Game All By Yourselfhttps://amzn.to/3UZtP7bPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Stadia Controller Wifi to Bluetooth Unlockhttps://stadia.google.com/controller/index_en_US.htmlJason: FUSE and SSHFShttps://www.digitalocean.com/community/tutorials/how-to-use-sshfs-to-mount-remote-file-systems-over-sshTopic: Transformers and Large Language ModelsHow neural networks store informationLatent variablesTransformersEncoders & DecodersAttention LayersHistoryRNNVanishing Gradient ProblemLSTMShort term (gradient explodes), Long term (gradient vanishes)Differentiable algebraKey-Query-ValueSelf AttentionSelf-Supervised Learning & Forward ModelsHuman FeedbackReinforcement Learning from Human FeedbackDirect Policy Optimization (Pairwise Ranking) ★ Support this podcast on Patreon ★

Intro topic: Monitor setupsNews/Links:BlueScuti, Willis, beats Tetrishttps://www.youtube.com/watch?v=GuJ5UuknsHUPalWorld accused of being an AI Producthttps://www.forbes.com/sites/paultassi/2024/01/22/palworld-accused-of-using-genai-with-no-evidence-so-far/?sh=26a9651b42394 Billion if-statements to determine if a number is even or oddhttps://andreasjhkarlsson.github.io/jekyll/update/2023/12/27/4-billion-if-statements.htmlSeamless M4Thttps://ai.meta.com/blog/seamless-m4t/Book of the ShowPatrick:Foundation by Isaac Asimovhttps://amzn.to/3SrmgnPJason: Propaganda by Edward Bernayshttps://amzn.to/47JUCXJPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: The Room Gamehttps://www.fireproofgames.com/games/the-roomJason:Incredibuildhttps://www.incredibuild.com/Topic: Compilers and Interpreters (Request by Jessica W.)Machine CodeArchitecture SpecificAssemblySingle vs Two Pass CompilerHigh level LanguagesIntermediate RepresentationJVM ByteCode vs Machine Code for portabilityScripting/InterpretersJITProfile Guided OptimizationResourceshttps://www.craftinginterpreters.com/https://nandgame.com/Turing Complete ★ Support this podcast on Patreon ★