Podcasts about openai codex

Happy Friday, everyone! You've made it through the week just in time for another Weekly Update where I'm helping you stay ahead of the curve while keeping both feet grounded in reality. This week, we've got a wild mix covering everything from the truth about LIDAR and camera damage to a sobering look at job automation, the looming shift in software engineering, and some high-profile examples of AI-first backfiring in real time.Fair warning: this one pulls no punches, but it might just help you avoid some major missteps.With that, let's get to it.⸻If LIDAR is Frying Phones, What About Your Eyes?There's a lot of buzz lately about LIDAR systems melting high-end camera sensors at car shows, and some are even warning about potential eye damage. Given how fast we're moving with autonomous vehicles, you can see why the news cycle would be in high gear. However, before you go full tinfoil hat, I break down how the tech actually works, where the risks are real, and what's just headline hype. If you've got a phone, or eyeballs, you'll want to check this out.⸻Jobs at Risk: What SHRM Gets Right—and Misses CompletelySHRM dropped a new report claiming around 12% of jobs are at high or very high risk of automation. Depending on how you're defining it, that number could be generous or a gross underestimate. That's the problem. It doesn't tell the whole story. I unpack the data, share what I'm seeing in executive boardrooms, and challenge the idea that any job, including yours, is safe from change, at least as you know it today. Spoiler: It's not about who gets replaced; it's about who adapts.⸻Codex and the Collapse of Coding ComplacencyOpenAI's new specialized coding model, Codex, has some folks declaring the end of software engineers as we know them. Given how much companies have historically spent on these roles, I can understand why there'd be so much push to automate it. To be clear, I don't buy the doomsday hype. I think it's a more complicated mix that is tied to a larger market correction for an overinflated industry. However, if you're a developer, this is your wake-up call because the game is changing fast.⸻Duolingo and Klarna: When “AI-First” BackfiresThis week I wanted to close with a conversation that hopefully reduces some of people's anxiety about work, so here it is. Two big names went all in on AI and are changing course as a result of two very different kinds of pain. Klarna is quietly walking back their AI-first bravado after realizing it's not actually cheaper, or better. Meanwhile, Duolingo is getting publicly roasted by users and employees alike. I break down what went wrong and what it tells us about doing AI right.⸻If this episode challenged your thinking or helped you see something new, share it with someone who needs it. Leave a comment, drop a rating, and make sure you're following so you never miss what's coming next.—Show Notes:In this Weekly Update, host Christopher Lind examines the ripple effects of LIDAR technology on camera sensors and the public's rising concern around eye safety. He breaks down SHRM's automation risk report, arguing that every job is being reshaped by AI—even if it's not eliminated. He explores the rise of OpenAI's Codex and its implications for the future of software engineering, and wraps with cautionary tales from Klarna and Duolingo about the cost of going “AI-first” without a strategy rooted in people, not just platforms.00:00 Introduction 01:07 Overview of This Week's Topics01:54 LIDAR Technology Explained13:43 - SHRM Job Automation Report 30:26 - OpenAI Codex: The Future of Coding?41:33 - AI-First Companies: A Cautionary Tale45:40 - Encouragement and Final Thoughts#FutureOfWork #LIDAR #JobAutomation #OpenAI #AIEthics #TechLeadership

Heute dominieren die News der beiden großen Tech-Konferenzen der Woche: Google I/O 2025 und Microsoft Build!MicrosoftNLWeb soll als Open-Source Projekt AI-Interaktion mit Webseiten vereinfachenGitHub Copilot nun auch als eigenständiger Agent in der CloudGitHub Agent Mode kommt zu JetBrains und XcodeWindows AI Foundry vereinfacht das Ausführen und Trainieren von Modellen auf dem Gerät und in der CloudAzure AI Foundry: xAI-Modelle stehen nun auch zur Verfügung und können gehostet werden. Ein Model-Router sucht selbst das beste ModellMicrosoft 365 Copilot Tuning: Low-Code-Lösung zum Tunen eigener Modelle mit UnternehmensdatenBreite Unterstützung des MCP in GitHub, Copilot Studio, Windows 11 und weiteren ToolsEdge Browser AI APIs: Neue APIs, um auf lokale Modelle im Browser zuzugreifenGoogleGemini 2.5 Pro „Deep Think“ bietet eine neue ArchitekturGemini 2.5 Flash als Vorschau verfügbar mit starker Leistung bei reduzierten RessourcenGemma 3n als kleine Version des offenen Modells von Google, das die Nano-Reihe ablösen sollJede Menge Neuerungen für kreative AI: Mit Veo 3 kommt ein neues Videomodell, das nicht nur den Film, sondern auch gleich das Audio mitgeneriert.Imagen 4 ist ein besseres Bildmodell, inklusive Text-Rendering.Lyria 2 ist die Suno-Alternative zum Generieren von Musik. Den ganzen Flow fasst Google im neuen Tool Flow zusammen.Jules ist der GitHub Copilot Agent oder das OpenAI Codex von GoogleGoogle Meet kann jetzt Echtzeit-Übersetzungen – zunächst nur auf Englisch und SpanischGemini-App mit vielen Funktionen geflutet und Gemini erhält mehr Einzug in die Google SucheZwei neue Abo-Modelle für AI bei Google: Für $20 gibt es Google AI Pro und schlappe $250 werden für Google AI Ultra fälligAbseits davon: AlphaEvolve v

In the News §  Regeneron Pharmaceuticals Acquires 23andMe for $256M §  Apple Suggest Users Put Themselves at Risk Using Third Party Alternatives §  Google Assistant Losing Features Across Android Devices and Nest/Hub Speaker Products §  Running ChromeOS with Microsoft 365 §  What Actually Happens If You Don't Use Airplane Mode on Your  Phone During A Flight? §  Microsoft Launches Azure Image Testing for Linux as a Service   ITPro Series with Benjamin Rockwell §  What to do If Asked to Train Your Replacement From the Tech Corner §  What is OpenAI Codex? §  The Windows Subsystem for Linux (WSL) in Windows §  What is the Sweet Spot for How Much Windows PC Memory You Need? Technology Chatter with Benjamin Rockwell and Marty Winston Intumescent Fire-Preventative Vents

У свіжому дайджесті DOU News обговорюємо скорочення в Microsoft, CarPlay Ultra від Apple, VPN-компанію, яка скасувала довічні підписки клієнтів, закінчення ери Stack Overflow та інші новини українського ІТ та світового тек-сектору. ▶️ Навігація 00:00 Інтро  01:04 Чверть лідів звільнили через конфлікт з керівництвом. Аналітика про скорочення айтівців https://dou.ua/lenta/articles/job-market-2025-part-3/ 03:43 LLM вбивають Stack Overflow https://newsletter.pragmaticengineer.com/p/the-pulse-134?open=false#%C2%A7stack-overflow-almost-dead 06:03 Партнерський блок 07:03 Новий CarPlay Ultra від Apple готовий, але поки що лише в Aston Martins https://arstechnica.com/cars/2025/05/apples-new-carplay-ultra-is-ready-but-only-in-aston-martins-for-now/ 09:31 OpenAI випустили Codex https://dou.ua/forums/topic/53860/ 12:35 Попри скорочення, компанія Klarna знову наймає людей у службу підтримки https://slashdot.org/story/25/05/14/2339257/klarna-pivots-back-to-humans-after-ai-experiment-fails 14:04 Microsoft проводить одне з найбільших скорочення з 2023 року https://dou.ua/forums/topic/53815/ 15:09 Microsoft намагається уникнути штрафів в ЄС, відокремлюючи Teams від Office https://www.engadget.com/big-tech/microsoft-attemps-to-avoid-eu-fines-by-further-decoupling-teams-and-office-170519085.html?src=rss 17:01 Uber винайшов маршрутки

Timestamps: 0:00 See ya on Wed, May 21 0:09 Epic's plan for Apple to block Fortnite 3:29 Intel Arc Pro B60, RX 9060 XT 4:27 OpenAI Codex, Grok's breakdown 5:50 MSI! 6:41 QUICK BITS INTRO 6:47 Spotify podcast play counts 7:14 The Steam data breach that wasn't 7:41 Australian rocket top fell off 8:07 BREAKING: Vader is bad guy NEWS SOURCES: https://lmg.gg/oRJxT Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary Large Language Models (LLMs) have rapidly captured the attention of the world with their impressive capabilities. Unfortunately, they are often unpredictable and unreliable. This makes building a product based on their capabilities a unique challenge. Jignesh Patel is building DataChat to bring the capabilities of LLMs to organizational analytics, allowing anyone to have conversations with their business data. In this episode he shares the methods that he is using to build a product on top of this constantly shifting set of technologies. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Your host is Tobias Macey and today I'm interviewing Jignesh Patel about working with LLMs; understanding how they work and how to build your own Interview Introduction How did you get involved in machine learning? Can you start by sharing some of the ways that you are working with LLMs currently? What are the business challenges involved in building a product on top of an LLM model that you don't own or control? In the current age of business, your data is often your strategic advantage. How do you avoid losing control of, or leaking that data while interfacing with a hosted LLM API? What are the technical difficulties related to using an LLM as a core element of a product when they are largely a black box? What are some strategies for gaining visibility into the inner workings or decision making rules for these models? What are the factors, whether technical or organizational, that might motivate you to build your own LLM for a business or product? Can you unpack what it means to "build your own" when it comes to an LLM? In your work at DataChat, how has the progression of sophistication in LLM technology impacted your own product strategy? What are the most interesting, innovative, or unexpected ways that you have seen LLMs/DataChat used? What are the most interesting, unexpected, or challenging lessons that you have learned while working with LLMs? When is an LLM the wrong choice? What do you have planned for the future of DataChat? Contact Info Website (https://jigneshpatel.org/) LinkedIn (https://www.linkedin.com/in/jigneshmpatel/) Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (https://www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.themachinelearningpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com (mailto:hosts@themachinelearningpodcast.com)) with your story. To help other people find the show please leave a review on iTunes (https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers. Links DataChat (https://datachat.ai/) CMU == Carnegie Mellon University (https://www.cmu.edu/) SVM == Support Vector Machine (https://en.wikipedia.org/wiki/Support_vector_machine) Generative AI (https://en.wikipedia.org/wiki/Generative_artificial_intelligence) Genomics (https://en.wikipedia.org/wiki/Genomics) Proteomics (https://en.wikipedia.org/wiki/Proteomics) Parquet (https://parquet.apache.org/) OpenAI Codex (https://openai.com/blog/openai-codex) LLama (https://en.wikipedia.org/wiki/LLaMA) Mistral (https://mistral.ai/) Google Vertex (https://cloud.google.com/vertex-ai) Langchain (https://www.langchain.com/) Retrieval Augmented Generation (https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/) Prompt Engineering (https://en.wikipedia.org/wiki/Prompt_engineering) Ensemble Learning (https://en.wikipedia.org/wiki/Ensemble_learning) XGBoost (https://xgboost.readthedocs.io/en/stable/) Catboost (https://catboost.ai/) Linear Regression (https://en.wikipedia.org/wiki/Linear_regression) COGS == Cost Of Goods Sold (https://www.investopedia.com/terms/c/cogs.asp) Bruce Schneier - AI And Trust (https://www.schneier.com/blog/archives/2023/12/ai-and-trust.html) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

In this episode of Elevate Print, Aaron Selmon, the Founder and CEO of Aceism Creative Group and Deborah Corn discuss using AI in print, how print businesses can leverage AI technology, the challenges surrounding AI, and how it is disrupting the industry.  Mentioned in This Episode: Aaron Selmon: https://www.linkedin.com/in/aaron-selmon-55768216  Aceism: https://aceism.com/ OpenAI: https://openai.com/ ChatGPT: https://openai.com/blog/chatgpt DALL·E 2: https://openai.com/product/dall-e-2 Whisper: https://whisper.ai/ OpenAI Codex: https://openai.com/blog/openai-codex Bard: https://bard.google.com/ Canva: https://www.canva.com/en_gb/ L.E.G.A.C.Y. Awards: https://www.legacyawardsgala.com/ Insider Intelligence Guide: https://www.insiderintelligence.com/content/chatgpt-generative-ai Custom Ink: https://www.customink.com/ Deborah Corn: https://www.linkedin.com/in/deborahcorn/ Print Media Centr: https://printmediacentr.com Project Peacock: https://ProjectPeacock.TV Girls Who Print: https://girlswhoprint.net

OpenAI Codex es una herramienta de programación impulsada por inteligencia artificial que puede generar código a partir de descripciones en lenguaje natural y ofrecer sugerencias en tiempo real. Codex es compatible con múltiples lenguajes de programación y puede integrarse con diversas herramientas de desarrollo y entornos de programación. Sus aplicaciones incluyen el desarrollo de aplicaciones web y móviles, la automatización de tareas y scripts, la creación de chatbots y asistentes virtuales, y el análisis y procesamiento de datos. Los beneficios de utilizar Codex incluyen una mayor productividad y eficiencia en el desarrollo de software, facilitación del aprendizaje y enseñanza de la programación, y reducción de la barrera de entrada para nuevos programadores. Las consideraciones éticas y limitaciones en el uso de Codex incluyen sesgos y calidad en la generación de código, dependencia en la IA y su impacto en el empleo, y la seguridad y privacidad de los datos. No olvides que en Tecnolitas ofrecemos un servicio de asesoría tecnológica personal y te invitamos a seguirnos en nuestro canal de Telegram para contenido más visual y específico. Si tienes alguna pregunta o proyecto, no dudes en contactarnos. Déjame un mensaje de voz

Jason Gulya is a Professor of English at Berkeley College. In 2020, Jason received Berkeley's Faculty of the Year Award for Teaching Excellence. He is also a higher ed consultant who helps students and professors prepare for the future and gives advice on how to utilize artificial intelligence in and outside of the classroom.Jason has a wealth of knowledge and actionable advice for using A.I. He outlines many great resources that you can use immediately to make yourself more productive at work. We talk about the future of the humanities, white collar work, the idea of a second brain and the emergence of a new profession he calls an A.I. Prompt Engineer. He even shares A.I. hacks for creating online classes and training manuals in record time.If you are an educator, entrepreneur or just someone who is interested in A.I. and how to “work smarter, not harder” then you will enjoy this podcast.Discussion Topics:(1:06) A.I. tools you need to be using right now.(10:50) What A.I. means for the future of work.(13:00) A.I. and the future of the Humanities.(18:33) Second brains and offloading effects.(26:45) Using A.I. to build a business.(36:00) Who owns A.I. copyrights?(41:25) OpenAI Codex.(44:38) Advice for educators. Grade the interaction with A.I.(45:27) New careers as a prompt engineer.(49:34) Advice for colleges and universities.(54:42) What does the future look like?(59:19) Rapid fire questions.

We're so glad to launch our first podcast episode with Logan Kilpatrick! This also happens to be his first public interview since joining OpenAI as their first Developer Advocate. Thanks Logan!Recorded in-person at the beautiful StudioPod studios in San Francisco. Full transcript is below the fold.Timestamps* 00:29: Logan's path to OpenAI* 07:06: On ChatGPT and GPT3 API* 16:16: On Prompt Engineering* 20:30: Usecases and LLM-Native Products* 25:38: Risks and benefits of building on OpenAI* 35:22: OpenAI Codex* 42:40: Apple's Neural Engine* 44:21: Lightning RoundShow notes* Sam Altman's interview with Connie Loizos* OpenAI Cookbook* OpenAI's new Embedding Model* Cohere on Word and Sentence Embeddings* (referenced) What is AGI-hard?Lightning Rounds* Favorite AI Product: https://www.synthesia.io/* Favorite AI Community: MLOps * One year prediction: Personalized AI, https://civitai.com/* Takeaway: AI Revolution is here!Transcript[00:00:00] Alessio Fanelli: Hey everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO in residence at Decibel Partners. I'm joined by my cohost, swyx writer editor of L Space Diaries. Hey.[00:00:20] swyx: Hey . Our guest today is Logan Kilpatrick. What I'm gonna try to do is I'm gonna try to introduce you based on what people know about you, and then you can fill in the blanks.[00:00:28] Introducing Logan[00:00:28] swyx: So you are the first. Developer advocate at OpenAI, which is a humongous achievement. Congrats. You're also the lead developer community advocate of the Julia language. I'm interested in a little bit of that and apparently as I've did a bit of research on you, you got into Julia through NASA where you interned and worked on stuff that's gonna land on the moon apparently.[00:00:50] And you are also working on computer vision at Apple. And had to sit at path, the eye as you fell down the machine learning rabbit hole. What should people know about you that's kind of not on your LinkedIn that like sort of ties together your interest[00:01:02] Logan Kilpatrick: in story? It's a good question. I think so one of the things that is on my LinkedIn that wasn't mentioned that's super near and dear to my heart and what I spend a lot of time in sort of wraps a lot of my open source machine learning developer advocacy experience together is supporting NumFOCUS.[00:01:17] And NumFOCUS is the nonprofit that helps enable a bunch of the open source scientific projects like Julia, Jupyter, Pandas, NumPy, all of those open source projects are. Facilitated legal and fiscally through NumFOCUS. So it's a very critical, important part of the ecosystem and something that I, I spend a bunch of my now more limited free time helping support.[00:01:37] So yeah, something that's, It's on my LinkedIn, but it's, it's something that's important to me. Well,[00:01:42] swyx: it's not as well known of a name, so maybe people kind of skip over it cuz they were like, I don't know what[00:01:45] Logan Kilpatrick: to do with this. Yeah. It's super interesting to see that too. Just one point of context for that is we tried at one point to get a Wikipedia page for non focus and it's, it's providing, again, the infrastructure for, it's like a hundred plus open source scientific projects and they're like, it's not notable enough.[00:01:59] I'm like, well, you know, there's something like 30 plus million developers around the world who use all these open source tools. It's like the foundation. All open source like science that happens. Every breakthrough in science is they discovered the black hole, the first picture of the black hole, all that stuff using numb focus tools, the Mars Rovers, NumFOCUS tools, and it's interesting to see like the disconnect between the nonprofit that supports those projects and the actual success of the projects themselves.[00:02:26] swyx: Well, we'll, we'll get a bunch of people focused on NumFOCUS and we'll get it on Wikipedia. That that is our goal. . That is the goal. , that is our shot. Is this something that you do often, which is you? You seem to always do a lot of community stuff. When you get into something, you're also, I don't know where this, where you find time for this.[00:02:42] You're also a conference chair for DjangoCon, which was last year as well. Do you fall down the rabbit hole of a language and then you look for community opportunities? Is that how you get into.[00:02:51] Logan Kilpatrick: Yeah, so the context for Django stuff was I'd actually been teaching and still am through Harvard's division of continuing education as a teaching fellow for a Django class, and had spent like two and a half years actually teaching students every semester, had a program in Django and realized that like it was kind of the one ecosystem or technical tool that I was using regularly that I wasn't actually contributing to that community.[00:03:13] So, I think sometime in 2021 like applied to be on the board of directors of the Django Events Foundation, north America, who helps run DjangoCon and was fortunate enough to join a support to be the chair of DjangoCon us and then just actually rolled off the board because of all the, all the craziness and have a lot less free time now.[00:03:32] And actually at PATH ai. Sort of core product was also using, was using Django, so it also had a lot of connections to work, so it was a little bit easier to justify that time versus now open ai. We're not doing any Django stuff unfortunately, so, or[00:03:44] swyx: Julia, I mean, should we talk about this? Like, are you defecting from Julia?[00:03:48] What's going on? ,[00:03:50] Logan Kilpatrick: it's actually felt a little bit strange recently because I, for the longest time, and, and happy to talk about this in the context of Apple as well, the Julie ecosystem was my outlet to do a lot of the developer advocacy, developer relations community work that I wanted to do. because again, at Apple I was just like training machine learning models.[00:04:07] Before that, doing software engineering at Apple, and even at Path ai, we didn't really have a developer product, so it wasn't, I was doing like advocacy work, but it wasn't like developer relations in the traditional sense. So now that I'm so deeply doing developer relations work at Open OpenAI, it's really difficult to.[00:04:26] Continue to have the energy after I just spent nine hours doing developer relations stuff to like go and after work do a bunch more developer relations stuff. So I'll be interested to see for myself like how I'm able to continue to do that work and I. The challenge is that it's, it's such critical, important work to happen.[00:04:43] Like I think the Julie ecosystem is so important. I think the language is super important. It's gonna continue to grow in, in popularity, and it's helping scientists and engineers solve problems they wouldn't otherwise be able to. So it's, yeah, the burden is on me to continue to do that work, even though I don't have a lot of time now.[00:04:58] And I[00:04:58] Alessio Fanelli: think when it comes to communities, the machine learning technical community, I think in the last six to nine months has exploded. You know, you're the first developer advocate at open ai, so I don't think anybody has a frame of reference on what that means. What is that? ? So , what do you, how did, how the[00:05:13] swyx: job, yeah.[00:05:13] How do you define the job? Yeah, let's talk about that. Your role.[00:05:16] Logan Kilpatrick: Yeah, it's a good question and I think there's a lot of those questions that actually still exist at OpenAI today. Like I think a lot of traditional developed by advocacy, at least like what you see on Twitter, which I think is what a lot of people's perception of developer advocacy and developer relations is, is like, Just putting out external content, going to events, speaking at conferences.[00:05:35] And I think OpenAI is very unique in the sense that, at least at the present moment, we have so much inbound interest that there's, there is no desire for us to like do that type of developer advocacy work. So it's like more from a developer experience point of view actually. Like how can we enable developers to be successful?[00:05:53] And that at the present moment is like building a strong foundation of documentation and things like that. And we had a bunch of amazing folks internally who were. Who were doing some of this work, but it really wasn't their full-time job. Like they were focused on other things and just helping out here and there.[00:06:05] And for me, my full-time job right now is how can we improve the documentation so that people can build the next generation of, of products and services on top of our api. And it's. Yeah. There's so much work that has to happen, but it's, it's, it's been a ton of fun so far. I find[00:06:20] swyx: being in developer relations myself, like, it's kind of like a fill in the blanks type of thing.[00:06:24] Like you go to where you, you're needed the most open. AI has no problem getting attention. It is more that people are not familiar with the APIs and, and the best practices around programming for large language models, which is a thing that did not exist three years ago, two years ago, maybe one year ago.[00:06:40] I don't know. When she launched your api, I think you launched Dall-E. As an API or I, I don't[00:06:45] Logan Kilpatrick: know. I dunno. The history, I think Dall-E was, was second. I think it was some of the, like GPT3 launched and then GPT3 launched and the API I think like two years ago or something like that. And then Dali was, I think a little more than a year ago.[00:06:58] And then now all the, the Chachi Beast ChatGPT stuff has, has blown it all outta the water. Which you have[00:07:04] swyx: a a wait list for. Should we get into that?[00:07:06] Logan Kilpatrick: Yeah. .[00:07:07] ChatGPT[00:07:07] Alessio Fanelli: Yeah. We would love to hear more about that. We were looking at some of the numbers you went. Zero to like a million users in five days and everybody, I, I think there's like dozens of ChatGPT API wrappers on GitHub that are unofficial and clearly people want the product.[00:07:21] Like how do you think about that and how developers can interact with it.[00:07:24] Logan Kilpatrick: It. It's absolutely, I think one of the most exciting things that I can possibly imagine to think about, like how much excitement there was around ChatGPT and now getting to hopefully at some point soon, put that in the hands of developers and see what they're able to unlock.[00:07:38] Like I, I think ChatGPT has been a tremendous success, hands down without a question, but I'm actually more excited to see what developers do with the API and like being able to build those chat first experiences. And it's really fascinating to see. Five years ago or 10 years ago, there was like, you know, all this like chatbot sort of mm-hmm.[00:07:57] explosion. And then that all basically went away recently, and the hype went to other places. And I think now we're going to be closer to that sort of chat layer and all these different AI chat products and services. And it'll be super interesting to see if that sticks or not. I, I'm not. , like I think people have a lot of excitement for ChatGPT right now, but it's not clear to me that that that's like the, the UI or the ux, even though people really like it in the moment, whether that will stand the test of time, I, I just don't know.[00:08:23] And I think we'll have to do a podcast in five years. Right. And check in and see whether or not people are still really enjoying that sort of conversational experience. I think it does make sense though cause like that's how we all interact and it's kind of weird that you wouldn't do that with AI products.[00:08:37] So we. and I think like[00:08:40] Alessio Fanelli: the conversational interface has made a lot of people, first, the AI to hallucinate, you know, kind of come up with things that are not true and really find all the edge cases. I think we're on the optimism camp, you know, like we see the potential. I think a lot of people like to be negative.[00:08:56] In your role, kind of, how do you think about evangelizing that and kind of the patience that sometimes it takes for these models to become.[00:09:03] Logan Kilpatrick: Yeah, I think what, what I've done is just continue to scream from the, the mountains that like ChatGPT has, current form is definitely a research preview. The model that underlies ChatGPT GPT 3.5 is not a research preview.[00:09:15] I think there's things that folks can do to definitely reduce the amount of hall hallucinations and hopefully that's something that over time I, I, again have full confidence that it'll, it'll solve. Yeah, there's a bunch of like interesting engineering challenges. you have to solve in order to like really fix that problem.[00:09:33] And I think again, people are, are very fixated on the fact that like in, you know, a few percentage points of the conversations, things don't sound really good. Mm-hmm. , I'm really more excited to see, like, again when the APIs and the Han developers like what are the interesting solutions that people come up with, I think there's a lot that can be explored and obviously, OpenAI can explore all them because we have this like one product that's using the api.[00:09:56] And once you get 10,000, a hundred thousand developers building on top of that, like, we'll see what are the different ways that people handle this. And I imagine there's a lot of low-hanging fruit solutions that'll significantly improve the, the amount of halluc hallucinations that are showing up. Talk about[00:10:11] swyx: building on top of your APIs.[00:10:13] Chat GPTs API is not out yet, but let's assume it is. Should I be, let's say I'm, I'm building. A choice between GP 3.5 and chat GPT APIs. As far as I understand, they are kind of comparable. What should people know about deciding between either of them? Like it's not clear to me what the difference is.[00:10:33] Logan Kilpatrick: It's a great question.[00:10:35] I don't know if there's any, if we've made any like public statements about like what the difference will be. I think, I think the point is that the interface for the Chachi B API will be like conversational first, and that's not the case now. If you look at text da Vinci oh oh three, like you, you just put in any sort of prompt.[00:10:52] It's not really built from the ground up to like keep the context of a conversation and things like that. And so it's really. Put in some sort of prompt, get a response. It's not always designed to be in that sort of conversational manner, so it's not tuned in that way. I think that's the biggest difference.[00:11:05] I think, again, the point that Sam made in a, a strictly the strictly VC talk mm-hmm. , which was incredible and I, I think that that talk got me excited and my, which, which part? The whole thing. And I think, I haven't been at open AI that long, so like I didn't have like a s I obviously knew who Sam was and had seen a bunch of stuff, but like obviously before, a lot of the present craziness with Elon Musk, like I used to think Elon Musk seemed like a really great guy and he was solving all these really important problems before all the stuff that happened.[00:11:33] That's a hot topic. Yeah. The stuff that happened now, yeah, now it's much more questionable and I regret having a Tesla, but I, I think Sam is actually. Similar in the sense that like he's solving and thinking about a lot of the same problems that, that Elon, that Elon is still today. But my take is that he seems like a much more aligned version of Elon.[00:11:52] Like he's, he's truly like, I, I really think he cares deeply about people and I think he cares about like solving the problems that people have and wants to enable people. And you can see this in the way that he's talked about how we deploy models at OpenAI. And I think you almost see Tesla in like the completely opposite end of the spectrum, where they're like, whoa, we.[00:12:11] Put these 5,000 pound machines out there. Yeah. And maybe they'll run somebody over, maybe they won't. But like it's all in the interest of like advancement and innovation. I think that's really on the opposite end of the spectrum of, of what open AI is doing, I think under Sam's leadership. So it's, it's interesting to see that, and I think Sam said[00:12:30] Alessio Fanelli: that people could have built Chen g p t with what you offered like six, nine months ago.[00:12:35] I[00:12:35] swyx: don't understand. Can we talk about this? Do you know what, you know what we're talking about, right? I do know what you're talking about. da Vinci oh three was not in the a p six months before ChatGPT. What was he talking about? Yeah.[00:12:45] Logan Kilpatrick: I think it's a little bit of a stretch, but I do think that it's, I, I think the underlying principle is that.[00:12:52] The way that it, it comes back to prompt engineering. The way that you could have engineered, like the, the prompts that you were put again to oh oh three or oh oh two. You would be able to basically get that sort of conversational interface and you can do that now. And, and I, you know, I've seen tutorials.[00:13:05] We have tutorials out. Yep. No, we, I mean, we, nineties, we have tutorials in the cookbook right now in on GitHub. We're like, you can do this same sort of thing. And you just, it's, it's all about how you, how you ask for responses and the way you format data and things like that. It. The, the models are currently only limited by what people are willing to ask them to do.[00:13:24] Like I really do think that, yeah, that you can do a lot of these things and you don't need the chat CBT API to, to build that conversational layer. That is actually where I[00:13:33] swyx: feel a little bit dumb because I feel like I don't, I'm not smart enough to think of new things to ask the models. I have to see an example and go, oh, you can do that.[00:13:43] All right, I'm gonna do that for now. You know, and, and that's why I think the, the cookbook is so important cuz it's kind of like a compendium of things we know about the model that you can ask it to do. I totally[00:13:52] Logan Kilpatrick: agree and I think huge shout out to the, the two folks who I work super closely with now on the cookbook, Ted and Boris, who have done a lot of that work and, and putting that out there and it's, yeah, you see number one trending repo on, on GitHub and it was super, like when my first couple of weeks at Open ai, super unknown, like really, we were only sort of directing our customers to that repo.[00:14:13] Not because we were trying to hide it or anything, but just because. It was just the way that we were doing things and then all of a sudden it got picked up on GitHub trending and a bunch of tweets went viral, showing the repo. So now I think people are actually being able to leverage the tools that are in there.[00:14:26] And, and Ted's written a bunch of amazing tutorials, Boris, as well. So I think it's awesome that more people are seeing those. And from my perspective, it's how can we take those, make them more accessible, give them more visibility, put them into the documentation, and I don't think that that connection right now doesn't exist, which I'm, I'm hopeful we'll be able to bridge those two things.[00:14:44] swyx: Cookbook is kind of a different set of documentation than API docs, and I think there's, you know, sort of existing literature about how you document these things and guide developers the right way. What, what I, what I really like about the cookbook is that it actually cites academic research. So it's like a nice way to not read the paper, but just read the conclusions of the paper ,[00:15:03] Logan Kilpatrick: and, and I think that's, that's a shout out to Ted and Boris cuz I, I think they're, they're really smart in that way and they've done a great job of finding the balance and understanding like who's actually using these different tools.[00:15:13] So, . Yeah.[00:15:15] swyx: You give other people credit, but you should take credit for yourself. So I read your last week you launched some kind of documentation about rate limiting. Yeah. And one of my favorite things about reading that doc was seeing examples of, you know, you were, you're telling people to do exponential back off and, and retry, but you gave code examples with three popular libraries.[00:15:32] You didn't have to do that. You could have just told people, just figure it out. Right. But you like, I assume that was you. It wasn't.[00:15:38] Logan Kilpatrick: So I think that's the, that's, I mean, I'm, I'm helping sort of. I think there's a lot of great stuff that people have done in open ai, but it was, we have the challenge of like, how can we make that accessible, get it into the documentation and still have that high bar for what goes into the doc.[00:15:51] So my role as of recently has been like helping support the team, building that documentation first culture, and supporting like the other folks who actually are, who wrote that information. The information was actually already in. Help center but it out. Yeah, it wasn't in the docs and like wasn't really focused on, on developers in that sense.[00:16:10] So yeah. I can't take the, the credit for the rate limit stuff either. , no, this[00:16:13] swyx: is all, it's part of the A team, that team effort[00:16:16] On Prompt Engineering[00:16:16] Alessio Fanelli: I was reading on Twitter, I think somebody was saying in the future will be kind of like in the hair potter word. People have like the spell book, they pull it out, they do all the stuff in chat.[00:16:24] GP z. When you talk with customers, like are they excited about doing prompt engineering and kind of getting a starting point or do they, do they wish there was like a better interface? ?[00:16:34] Logan Kilpatrick: Yeah, that's a good question. I think prompt engineering is so much more of an art than a science right now. Like I think there are like really.[00:16:42] Systematic things that you can do and like different like approaches and designs that you can take, but really it's a lot of like, you kind of just have to try it and figure it out. And I actually think that this remains to be one of the challenges with large language models in general, and not just head open ai, but for everyone doing it is that it's really actually difficult to understand what are the capabilities of the model and how do I get it to do the things that I wanted to do.[00:17:05] And I think that's probably where a lot of folks need to do like academic research and companies need to invest in understanding the capabilities of these models and the limitations because it's really difficult to articulate the capabilities of a model without those types of things. So I'm hopeful that, and we're shipping hopefully some new updated prompt engineering stuff.[00:17:24] Cause I think the stuff we have on the website is old, and I think the cookbook actually has a little bit more up-to-date stuff. And so hopefully we'll ship some new prompt engineering stuff in the, in the short term. I think dispel some of the myths and rumors, but like I, it's gonna continue to be like a, a little bit of a pseudoscience, I would imagine.[00:17:41] And I also think that the whole prompt engineering being like a job in the future meme, I think is, I think it's slightly overblown. Like I think at, you see this now actually with like, there's tools that are showing up and I forgot what the, I just saw went on Twitter. The[00:17:57] swyx: next guest that we are having on this podcast, Lang.[00:17:59] Yeah. Yeah.[00:18:00] Logan Kilpatrick: Lang Chain and Harrison on, yeah, there's a bunch of repos too that like categorize and like collect all the best prompts that you can put into chat. For example, and like, that's like the people who are, I saw the advertisement for someone to be like a prompt engineer and it was like a $350,000 a year.[00:18:17] Mm-hmm. . Yeah, that was, that was philanthropic. Yeah, so it, it's just unclear to me like how, how sustainable stuff like that is. Cuz like, once you figure out the interesting prompts and like right now it's kind of like the, the Wild West, but like in a year you'll be able to sort of categorize all those and then people will be able to find all the good ones that are relevant for what they want to do.[00:18:35] And I think this goes back to like, having the examples is super important and I'm, I'm with you as well. Like every time I use Dall-E the little. While it's rendering the image, it gives you like a suggestion of like how you should ask for the art to be generated. Like do it in like a cyberpunk format. Do it in a pixel art format.[00:18:53] Et cetera, et cetera, and like, I really need that. I'm like, I would never come up with asking for those things had it not prompted me to like ask it that way. And now I always ask for pixel art stuff or cyberpunk stuff and it looks so cool. That's what I, I think,[00:19:06] swyx: is the innovation of ChatGPT as a format.[00:19:09] It reduces. The need for getting everything into your prompt in the first try. Mm-hmm. , it takes it from zero shot to a few shot. If, if, if that, if prompting as, as, as shots can be concerned.[00:19:21] Logan Kilpatrick: Yeah. , I think that's a great perspective and, and again, this goes back to the ux UI piece of it really being sort of the differentiating layer from some of the other stuff that was already out there.[00:19:31] Because you could kind of like do this before with oh oh three or something like that if you just made the right interface and like built some sort of like prompt retry interface. But I don't think people were really, were really doing that. And I actually think that you really need that right now. And this is the, again, going back to the difference between like how you can use generative models versus like large scale.[00:19:53] Computer vision systems for self-driving cars, like the, the answer doesn't actually need to be right all the time. That's the beauty of, of large language models. It can be wrong 50% of the time and like it doesn't really cost you anything to like regenerate a new response. And there's no like, critical safety issue with that, so you don't need those.[00:20:09] I, I keep seeing these tweets about like, you need those like 99.99% reliability and like the three nines or whatever it is. Mm-hmm. , but like you really don't need that because the cost of regenerating the prop is again, almost, almost. I think you tweeted a[00:20:23] Alessio Fanelli: couple weeks ago that the average person doesn't yet fully grasp how GBT is gonna impact human life in the next four, five years.[00:20:30] Usecases and LLM-Native Products[00:20:30] Alessio Fanelli: I think you had an example in education. Yeah. Maybe touch on some of these. Example of non-tech related use cases that are enabling, enabled by C G B[00:20:38] T.[00:20:39] Logan Kilpatrick: I'm so excited and, and there's a bunch of other like random threads that come to my mind now. I saw a thread and, and our VP of product was, Peter, was, was involved in that thread as well, talking about like how the use of systems like ChatGPT will unlock like pretty almost low to zero cost access to like mental health services.[00:20:59] You know, you can imagine like the same use case for education, like really personalized tutors and like, it's so crazy to think about, but. The technology is not actually , like it's, it's truly like an engineering problem at this point of like somebody using one of these APIs to like build something like that and then hopefully the models get a little bit better and make it, make it better as well.[00:21:20] But like it, I have no doubt in my mind that three years from now that technology will exist for every single student in the world to like have that personalized education experience, have a pr, have a chat based experience where like they'll be able. Ask questions and then the curriculum will just evolve and be constructed for them in a way that keeps, I think the cool part is in a way that keeps them engaged, like it doesn't have to be sort of like the same delivery of curriculum that you've always seen, and this now supplements.[00:21:49] The sort of traditional education experience in the sense of, you know, you don't need teachers to do all of this work. They can really sort of do the thing that they're amazing at and not spend time like grading assignments and all that type of stuff. Like, I really do think that all those could be part of the, the system.[00:22:04] And same thing, I don't know if you all saw the the do not pay, uh, lawyer situation, say, I just saw that Twitter thread, I think yesterday around they were going to use ChatGPT in the courtroom and basically I think it was. California Bar or the Bar Institute said that they were gonna send this guy to prison if he brought, if he put AirPods in and started reading what ChatGPT was saying to him.[00:22:26] Yeah.[00:22:26] swyx: To give people the context, I think, like Josh Browder, the CEO of Do Not Pay, was like, we will pay you money to put this AirPod into your ear and only say what we tell you to say fr from the large language model. And of course the judge was gonna throw that out. I mean, I, I don't see how. You could allow that in your court,[00:22:42] Logan Kilpatrick: Yeah, but I, I really do think that, like, the, the reality is, is that like, again, it's the same situation where the legal spaces even more so than education and, and mental health services, is like not an accessible space. Like every, especially with how like overly legalized the United States is, it's impossible to get representation from a lawyer, especially if you're low income or some of those things.[00:23:04] So I'm, I'm optimistic. Those types of services will exist in the future. And you'll be able to like actually have a, a quality defense representative or just like some sort of legal counsel. Yeah. Like just answer these questions, what should I do in this situation? Yeah. And I like, I have like some legal training and I still have those same questions.[00:23:22] Like I don't know what I would do in that situation. I would have to go and get a lawyer and figure that out. And it's, . It's tough. So I'm excited about that as well. Yeah.[00:23:29] Alessio Fanelli: And when you think about all these vertical use cases, do you see the existing products implementing language models in what they have?[00:23:35] Or do you think we're just gonna see L L M native products kind of come to market and build brand[00:23:40] Logan Kilpatrick: new experiences? I think there'll be a lot of people who build the L l M first experience, and I think that. At least in the short term, those are the folks who will have the advantage. I do think that like the medium to long term is again, thinking about like what is your moat for and like again, and everyone has access to, you know, ChatGPT and to the different models that we have available.[00:24:05] So how can you build a differentiated business? And I think a lot of it actually will come down to, and this is just the true and the machine learning world in general, but having. Unique access to data. So I think if you're some company that has some really, really great data about the legal space or about the education space, you can use that and be better than your competition by fine tuning these models or building your own specific LLMs.[00:24:28] So it'll, it'll be interesting to see how that plays out, but I do think that. from a product experience, it's gonna be better in the short term for people who build the, the generative AI first experience versus people who are sort of bolting it onto their mm-hmm. existing product, which is why, like, again, the, the Google situation, like they can't just put in like the prompt into like right below the search bar.[00:24:50] Like, it just, it would be a weird experience and, and they have to sort of defend that experience that they have. So it, it'll be interesting to see what happens. Yeah. Perplexity[00:24:58] swyx: is, is kind of doing that. So you're saying perplexity will go Google ?[00:25:04] Logan Kilpatrick: I, I think that perplexity has a, has a chance in the short term to actually get more people to try the product because it's, it's something different I think, whether they can, I haven't actually used, so I can't comment on like that experience, but like I think the long term is like, How can they continue to differentiate?[00:25:21] And, and that's really the focus for like, if you're somebody building on these models, like you have to be, your first thought should be, how do I build a differentiated business? And if you can't come up with 10 reasons that you can build a differentiated business, you're probably not gonna succeed in, in building something that that stands the test of time.[00:25:37] Yeah.[00:25:37] Risks and benefits of building on OpenAI[00:25:37] swyx: I think what's. As a potential founder or something myself, like what's scary about that is I would be building on top of open ai. I would be sending all my stuff to you for fine tuning and embedding and what have you. By the way, fine tuning, embedding is their, is there a third one? Those are the main two that I know of.[00:25:55] Okay. And yeah, that's the risk. I would be a open AI API reseller.[00:26:00] Logan Kilpatrick: Yeah. And, and again, this, this comes back down to like having a clear sense of like how what you're building is different. Like the people who are just open AI API resellers, like, you're not gonna, you're not gonna have a successful business doing that because everybody has access to the Yeah.[00:26:15] Jasper's pretty great. Yeah, Jasper's pretty great because I, I think they've done a, they've, they've been smart about how they've positioned the product and I was actually a, a Jasper customer before I joined OpenAI and was using it to do a bunch of stuff. because the interface was simple because they had all the sort of customized, like if you want for like a response for this sort of thing, they'd, they'd pre-done that prompt engineering work for us.[00:26:39] I mean, you could really just like put in some exactly what you wanted and then it would make that Amazon product description or whatever it is. So I think like that. The interface is the, the differentiator for, for Jasper. And again, whether that send test time, hopefully, cuz I know they've raised a bunch of money and have a bunch of employees, so I'm, I'm optimistic for them.[00:26:58] I think that there's enough room as well for a lot of these companies to succeed. Like it's not gonna, the space is gonna get so big so quickly that like, Jasper will be able to have a super successful business. And I think they are. I just saw some, some tweets from the CEO the other day that I, I think they're doing, I think they're doing well.[00:27:13] Alessio Fanelli: So I'm the founder of A L L M native. I log into open ai, there's 6 million things that I can do. I'm on the playground. There's a lot of different models. How should people think about exploring the surface area? You know, where should they start? Kind of like hugging the go deeper into certain areas.[00:27:30] Logan Kilpatrick: I think six months ago, I think it would've been a much different conversation because people hadn't experienced ChatGPT before.[00:27:38] Now that people have experienced ChatGPT, I think there's a lot more. Technical things that you should start looking into and, and thinking about like the differentiators that you can bring. I still think that the playground that we have today is incredible cause it does sort of similar to what Jasper does, which is like we have these very focused like, you know, put in a topic and we'll generate you a summary, but in the context of like explaining something to a second grader.[00:28:03] So I think all of those things like give a sense, but we only have like 30 on the website or something like that. So really doing a lot of exploration around. What is out there? What are the different prompts that you can use? What are the different things that you can build on? And I'm super bullish on embeddings, like embed everything and that's how you can build cool stuff.[00:28:20] And I keep seeing all these Boris who, who I talked about before, who did a bunch of the cookbook stuff, tweeted the other day that his like back of the hand, back of the napkin math, was that 50 million bucks you can embed the whole internet. I'm like, Some companies gonna spend the 50 million and embed the whole internet and like, we're gonna find out what that product looks like.[00:28:40] But like, there's so many cool things that you could do if you did have the whole internet embedded. Yeah, and I, I mean, I wouldn't be surprised if Google did that cuz 50 million is a drop in the bucket and they already have the whole internet, so why not embed it?[00:28:52] swyx: Can can I ask a follow up question on that?[00:28:54] Cuz I am just learning about embeddings myself. What makes open eyes embeddings different from other embeddings? If, if there's like, It's okay if you don't have the, the numbers at hand, but I'm just like, why should I use open AI emitting versus others? I[00:29:06] Logan Kilpatrick: don't understand. Yeah, that's a really good question.[00:29:08] So I'm still ramping up on my understanding of embeddings as well. So the two things that come to my mind, one, going back to the 50 million to embed the whole internet example, it's actually just super cheap. I, I don't know the comparisons of like other prices, but at least from what I've seen people talking about on Twitter, like the embeddings that that we have in the API is just like significantly cheaper than a lot of other c.[00:29:30] Embeddings. Also the accuracy of some of the benchmarks that are like, Sort of academic benchmarks to use in embeddings. I know at least I was just looking back through the blog post from when we announced the new text embedding model, which is what Powers embeddings and it's, yeah, the, on those metrics, our API is just better.[00:29:50] So those are the those. I'll go read it up. Yeah, those are the two things. It's a good. It's a good blog post to read. I think the most recent one that came out, but, and also the original one from when we first announced the Embeddings api, I think also was a, it had, that one has a little bit more like context around if you're trying to wrap your head around embeddings, how they work.[00:30:06] That one has the context, the new one just has like the fancy new stuff and the metrics and all that kind of stuff.[00:30:11] swyx: I would shout a hugging face for having really good content around what these things like foundational concepts are. Because I was familiar with, so, you know, in Python you have like text tove, my first embedding as as a, as someone getting into nlp.[00:30:24] But then developing the concept of sentence embeddings is, is as opposed to words I think is, is super important. But yeah, it's an interesting form of lock in as a business because yes, I'm gonna embed all my source data, but then every inference needs an embedding as. . And I think that is a risk to some people, because I've seen some builders should try and build on open ai, call that out as, as a cost, as as like, you know, it starts to add a cost to every single query that you, that you[00:30:48] Logan Kilpatrick: make.[00:30:49] Yeah. It'll be interesting to see how it all plays out, but like, my hope is that that cost isn't the barrier for people to build because it's, it's really not like the cost for doing the incremental like prompts and having them embedded is, is. Cent less than cents, but[00:31:06] swyx: cost I, I mean money and also latency.[00:31:08] Yeah. Which is you're calling the different api. Yeah. Anyway, we don't have to get into that.[00:31:13] Alessio Fanelli: No, but I think embeds are a good example. You had, I think, 17 versions of your first generation, what api? Yeah. And then you released the second generation. It's much cheaper, much better. I think like the word on the street is like when GPT4 comes out, everything else is like trash that came out before it.[00:31:29] It's got[00:31:30] Logan Kilpatrick: 100 trillion billion. Exactly. Parameters you don't understand. I think Sam has already confirmed that those are, those are not true . The graphics are not real. Whatever you're seeing on Twitter about GPT4, you're, I think the direct quote was, you're begging to be disappointed by continuing to, to put that hype out.[00:31:47] So[00:31:48] Alessio Fanelli: if you're a developer building on these, What's kind of the upgrade path? You know, I've been building on Model X, now this new model comes out. What should I do to be ready to move on?[00:31:58] Logan Kilpatrick: Yeah. I think all of these types of models folks have to think about, like there will be trade offs and they'll also be.[00:32:05] Breaking changes like any other sort of software improvement, like things like the, the prompts that you were previously expecting might not be the prompts that you're seeing now. And you can actually, you, you see this in the case of the embeddings example that you just gave when we released Tex embeddings, ADA oh oh two, ada, ada, whichever it is oh oh two, and it's sort of replaced the previous.[00:32:26] 16 first generation models, people went through this exact experience where like, okay, I need to test out this new thing, see how it works in my environment. And I think that the really fascinating thing is that there aren't, like the tools around doing this type of comparison don't exist yet today. Like if you're some company that's building on lms, you sort of just have to figure it out yourself of like, is this better in my use case?[00:32:49] Is this not better? In my use case, it's, it's really difficult to tell because the like, Possibilities using generative models are endless. So I think folks really need to focus on, again, that goes back to how to build a differentiated business. And I think it's understanding like what is the way that people are using your product and how can you sort of automate that in as much way and codify that in a way that makes it clear when these different models come up, whether it's open AI or other companies.[00:33:15] Like what is the actual difference between these and which is better for my use case because the academic be. It'll be saturated and people won't be able to use them as a point of comparison in the future. So it'll be important to think about. For your specific use case, how does it differentiate?[00:33:30] swyx: I was thinking about the value of frameworks or like Lang Chain and Dust and what have you out there.[00:33:36] I feel like there is some value to building those frameworks on top of Open Eyes, APIs. It kind of is building what's missing, essentially what, what you guys don't have. But it's kind of important in the software engineering sense, like you have this. Unpredictable, highly volatile thing, and you kind of need to build a stable foundation on top of it to make it more predictable, to build real software on top of it.[00:33:59] That's a super interesting kind of engineering problem. .[00:34:03] Logan Kilpatrick: Yeah, it, it is interesting. It's also the, the added layer of this is that the large language models. Are inherently not deterministic. So I just, we just shipped a small documentation update today, which, which calls this out. And you think about APIs as like a traditional developer experience.[00:34:20] I send some response. If the response is the same, I should get the same thing back every time. Unless like the data's updating and like a, from like a time perspective. But that's not the, that's not the case with the large language models, even with temperature zero. Mm-hmm. even with temperature zero. Yep.[00:34:34] And that's, Counterintuitive part, and I think someone was trying to explain to me that it has to do with like Nvidia. Yeah. Floating points. Yes. GPU stuff. and like apparently the GPUs are just inherently non-deterministic. So like, yes, there's nothing we can do unless this high Torch[00:34:48] swyx: relies on this as well.[00:34:49] If you want to. Fix this. You're gonna have to tear it all down. ,[00:34:53] Logan Kilpatrick: maybe Nvidia, we'll fix it. I, I don't know, but I, I think it's a, it's a very like, unintuitive thing and I don't think that developers like really get that until it happens to you. And then you're sort of scratching your head and you're like, why is this happening?[00:35:05] And then you have to look it up and then you see all the NVIDIA stuff. Or hopefully our documentation makes it more clear now. But hopefully people, I also think that's, it's kinda the cool part as well. I don't know, it's like, You're not gonna get the same stuff even if you try to.[00:35:17] swyx: It's a little spark of originality in there.[00:35:19] Yeah, yeah, yeah, yeah. The random seed .[00:35:22] OpenAI Codex[00:35:22] swyx: Should we ask about[00:35:23] Logan Kilpatrick: Codex?[00:35:23] Alessio Fanelli: Yeah. I mean, I love Codex. I use it every day. I think like one thing, sometimes the code is like it, it's kinda like the ChatGPT hallucination. Like one time I asked it to write up. A Twitter function, they will pull the bayou of this thing and it wrote the whole thing and then the endpoint didn't exist once I went to the Twitter, Twitter docs, and I think like one, I, I think there was one research that said a lot of people using Co Palace, sometimes they just auto complete code that is wrong and then they commit it and it's a, it's a big[00:35:51] Logan Kilpatrick: thing.[00:35:51] swyx: Do you secure code as well? Yeah, yeah, yeah, yeah. I saw that study.[00:35:54] Logan Kilpatrick: How do[00:35:54] Alessio Fanelli: you kind of see. Use case evolving. You know, you think, like, you obviously have a very strong partnership with, with Microsoft. Like do you think Codex and VS code will just keep improving there? Do you think there's kind of like a. A whole better layer on top of it, which is from the scale AI hackathon where the, the project that one was basically telling the l l m, you're not the back end of a product[00:36:16] And they didn't even have to write the code and it's like, it just understood. Yeah. How do you see the engineer, I, I think Sean, you said copilot is everybody gets their own junior engineer to like write some of the code and then you fix it For me, a lot of it is the junior engineer gets a senior engineer to actually help them write better code.[00:36:32] How do you see that tension working between the model and the. It'll[00:36:36] Logan Kilpatrick: be really interesting to see if there's other, if there's other interfaces to this. And I think I've actually seen a lot of people asking, like, it'd be really great if I had ChatGPT and VS code because in, in some sense, like it can, it's just a better, it's a better interface in a lot of ways to like the, the auto complete version cuz you can reprompt and do, and I know Via, I know co-pilot actually has that, where you can like click and then give it, it'll like pop up like 10 suggested.[00:36:59] Different options instead of brushes. Yeah, copilot labs, yeah. Instead of the one that it's providing. And I really like that interface, but again, this goes back to. I, I do inherently think it'll get better. I think it'll be able to do a lot, a lot more of the stuff as the models get bigger, as they have longer context as they, there's a lot of really cool things that will end up coming out and yeah, I don't think it's actually very far away from being like, much, much better.[00:37:24] It'll go from the junior engineer to like the, the principal engineer probably pretty quickly. Like I, I don't think the gap is, is really that large between where things are right now. I think like getting it to the point. 60% of the stuff really well to get it to do like 90% of the stuff really well is like that's within reach in the next, in the next couple of years.[00:37:45] So I'll be really excited to see, and hopefully again, this goes back to like engineers and developers and people who aren't thinking about how to integrate. These tools, whether it's ChatGPT or co-pilot or something else into their workflows to be more efficient. Those are the people who I think will end up getting disrupted by these tools.[00:38:02] So figuring out how to make yourself more valuable than you are today using these tools, I think will be super important for people. Yeah.[00:38:09] Alessio Fanelli: Actually use ChatGPT to debug, like a react hook the other day. And then I posted in our disc and I was like, Hey guys, like look, look at this thing. It really helped me solve this.[00:38:18] And they. That's like the ugliest code I've ever seen. It's like, why are you doing that now? It's like, I don't know. I'm just trying to get[00:38:24] Logan Kilpatrick: this thing to work and I don't know, react. So I'm like, that's the perfect, exactly, that's the perfect solution. I, I did this the other day where I was looking at React code and like I have very briefly seen React and run it like one time and I was like, explain how this is working.[00:38:38] So, and like change it in this way that I want to, and like it was able to do that flawlessly and then I just popped it in. It worked exactly like I. I'll give a[00:38:45] swyx: little bit more context cause I was, I was the guy giving you feedback on your code and I think this is a illustrative of how large language models can sort of be more confident than they should be because you asked it a question which is very specific on how to improve your code or fix your code.[00:39:00] Whereas a real engineer would've said, we've looked at your code and go, why are you doing it at at all? Right? So there's a sort of sycophantic property of martial language. Accepts the basis of your question, whereas a real human might question your question. Mm-hmm. , and it was just not able to do that. I mean, I, I don't see how he could do that.[00:39:17] Logan Kilpatrick: Yeah. It's, it's interesting. I, I saw another example of this the other day as well with some chatty b t prompt and I, I agree. It'll be interesting to see if, and again, I think not to, not to go back to Sam's, to Sam's talk again, but like, he, he talked real about this, and I think this makes a ton of sense, which is like you should be able to have, and this isn't something that that exists right now, but you should be able to have the model.[00:39:39] Tuned in the way that you wanna interact with. Like if you want a model that sort of questions what you're asking it to do, like you should be able to have that. And I actually don't think that that's as far away as like some of the other stuff. Um, It, it's a very possible engineering problem to like have the, to tune the models in that way and, and ask clarifying questions, which is even something that it doesn't do right now.[00:39:59] It'll either give you the response or it won't give you the response, but it'll never say like, Hey, what do you mean by this? Which is super interesting cuz that's like we spend as humans, like 50% of our conversational time being like, what do you mean by that? Like, can you explain more? Can you say it in a different way?[00:40:14] And it's, it's fascinating that the model doesn't do that right now. It's, it's interesting.[00:40:20] swyx: I have written a piece on sort of what AGI hard might be, which is the term that is being thrown around as like a layer of boundary for what is, what requires an A real AGI to do and what, where you might sort of asymptotically approach.[00:40:33] So, What people talk about is essentially a theory of mind, developing a con conception of who I'm talking to and persisting that across sessions, which essentially ChatGPT or you know, any, any interface that you build on top of GPT3 right now would not be able to do. Right? Like, you're not persisting you, you are persisting that history, but you don't, you're not building up a conception of what you know and what.[00:40:54] I should fill in the blanks for you or where I should question you. And I think that's like the hard thing to understand, which is what will it take to get there? Because I think that to me is the, going back to your education thing, that is the biggest barrier, which is I, the language model doesn't have a memory or understanding of what I know.[00:41:11] and like, it's, it's too much to tell them what I don't know. Mm-hmm. , there's more that I don't know than I, than I do know . I think the cool[00:41:16] Logan Kilpatrick: part will be when, when you're able to, like, imagine you could upload all of the, the stuff that you've ever done, all the texts, the work that you've ever done before, and.[00:41:27] The model can start to understand, hey, what are the, what are the conceptual gaps that this person has based on what you've said, based on what you've done? I think that would be really interesting. Like if you can, like I have good notes on my phone and I can still go back to see all of the calculus classes that I took and I could put in all my calculus notebooks and all the assignments and stuff that I did in, in undergrad and grad school, and.[00:41:50] basically be like, Hey, here are the gaps in your understanding of calculus. Go and do this right now. And I think that that's in the education space. That's exactly what will end up happening. You'll be able to put in all this, all the work that you've done. It can understand those ask and then come up with custom made questions and prompts and be like, Hey, how, you know, explain this concept to me and if it.[00:42:09] If you can't do that, then it can sort of put that into your curriculum. I think like Khan Academy as an example, already does some of this, like personalized learning. You like take assessments at the beginning of every Khan Academy model module, and it'll basically only have you watch the videos and do the assignments for the things that like you didn't test well into.[00:42:27] So that's, it's, it's sort of close to already being there in some sense, but it doesn't have the, the language model interface on top of it before we[00:42:34] swyx: get into our lightning round, which is like, Quick response questions. Was there any other topics that you think you wanted to cover? We didn't touch on, whisper.[00:42:40] We didn't touch on Apple. Anything you wanted to[00:42:42] Logan Kilpatrick: talk?[00:42:43] Apple's Neural Engine[00:42:43] Logan Kilpatrick: Yeah, I think the question around Apple stuff and, and the neural engine, I think will be really interesting to see how it all plays out. I think, I don't know if you wanna like ask just to give the context around the neural engine Apple question. Well, well, the[00:42:54] swyx: only thing I know it's because I've seen Apple keynotes.[00:42:57] Everyone has, you know, I, I have a m M one MacBook Cure. They have some kind of neuro chip. , but like, I don't see it in my day-to-day life, so when is this gonna affect me, essentially? And you worked at Apple, so I I was just gonna throw the question over to you, like, what should we[00:43:11] Logan Kilpatrick: expect out of this? Yeah.[00:43:12] The, the problem that I've seen so far with the neural engine and all the, the Mac, and it's also in the phones as well, is that the actual like, API to sort of talk to the neural engine isn't something that's like a common you like, I'm pretty sure it's either not exposed at all, like it only like Apple basically decides in the software layer Yeah.[00:43:34] When, when it should kick in and when it should be used, which I think doesn't really like help developers and it doesn't, that's why no one is using it. I saw a bunch of, and of course I don't have any good insight on this, but I saw a bunch of rumors that we're talking about, like a lot of. Main use cases for the neural engine stuff.[00:43:50] It's, it's basically just in like phantom mode. Now, I'm sure it's doing some processing, but like the main use cases will be a lot of the ar vr stuff that ends up coming out and like when it gets much heavier processing on like. Graphic stuff and doing all that computation, that's where it'll be. It'll be super important.[00:44:06] And they've basically been able to trial this for the last, like six years and have it part of everything and make sure that they can do it cheaply in a cost effective way. And so it'll be cool to see when that I'm, I hope it comes out. That'll be awesome.[00:44:17] swyx: Classic Apple, right? They, they're not gonna be first, but when they do it, they'll make a lot of noise about it.[00:44:21] Yeah. . It'll be[00:44:22] Logan Kilpatrick: awesome. Sure.[00:44:22] Lightning Round[00:44:22] Logan Kilpatrick: So, so are we going to light. Let's[00:44:24] Alessio Fanelli: do it. All right. Favorite AI products not[00:44:28] Logan Kilpatrick: open AI. Build . I think synthesis. Is synthesis.io is the, yeah, you can basically put in like a text prompt and they have like a human avatar that will like speak and you can basically make content in like educational videos.[00:44:44] And I think that's so cool because maybe as people who are making content, like it's, it's super hard to like record video. It just takes a long time. Like you have to edit all the stuff, make sure you sound right, and then when you edit yourself talking it's super weird cuz your mouth is there and things.[00:44:57] So having that and just being able to ChatGPT A script. Put it in. Hopefully I saw another demo of like somebody generating like slides automatically using some open AI stuff. Like I think that type of stuff. Chat, BCG, ,[00:45:10] swyx: a fantastic name, best name of all time .[00:45:14] Logan Kilpatrick: I think that'll be cool. So I'm super excited,[00:45:16] swyx: but Okay.[00:45:16] Well, so just a follow up question on, on that, because we're both in that sort of Devrel business, would you put AI Logan on your video, on your videos and a hundred[00:45:23] Logan Kilpatrick: percent, explain that . A hundred percent. I would, because again, if it reduces the time for me, like. I am already busy doing a bunch of other stuff,[00:45:31] And if I could, if I could take, like, I think the real use case is like I've made, and this is in the sense of like creators wanting to be on every platform. If I could take, you know, the blog posts that I wrote and then have AI break it up into a bunch of things, have ai Logan. Make a TikTok, make a YouTube video.[00:45:48] I cannot wait for that. That's gonna be so nice. And I think there's probably companies who are already thinking about doing that. I'm just[00:45:53] swyx: worried cuz like people have this uncanny valley reaction to like, oh, you didn't tell me what I just watched was a AI generated thing. I hate you. Now you know there, there's a little bit of ethics there and I'm at the disclaimer,[00:46:04] Logan Kilpatrick: at the top.[00:46:04] Navigating. Yeah. I also think people will, people will build brands where like their whole thing is like AI content. I really do think there are AI influencers out there. Like[00:46:12] swyx: there are entire Instagram, like million plus follower accounts who don't exist.[00:46:16] Logan Kilpatrick: I, I've seen that with the, the woman who's a Twitch streamer who like has some, like, she's using like some, I don't know, that technology from like movies where you're like wearing like a mask and it like changes your facial appearance and all that stuff.[00:46:27] So I think there's, there's people who find their niche plus it'll become more common. So, cool. My[00:46:32] swyx: question would be, favorite AI people in communities that you wanna shout up?[00:46:37] Logan Kilpatrick: I think there's a bunch of people in the ML ops community where like that seemed to have been like the most exciting. There was a lot of innovation, a lot of cool things happening in the ML op space, and then all the generative AI stuff happened and then all the ML Ops two people got overlooked.[00:46:51] They're like, what's going on here? So hopefully I still think that ML ops and things like that are gonna be super important for like getting machine learning to be where it needs to be for us to. AGI and all that stuff. So a year from[00:47:05] Alessio Fanelli: now, what will people be the most[00:47:06] Logan Kilpatrick: surprised by? N. I think the AI is gonna get very, very personalized very quickly, and I don't think that people have that feeling yet with chat, BT, but I, I think that that's gonna, that's gonna happen and they'll be surprised in like the, the amount of surface areas in which AI is present.[00:47:23] Like right now it's like, it's really exciting cuz Chat BT is like the one place that you can sort of get that cool experience. But I think that, The people at Facebook aren't dumb. The people at Google aren't dumb. Like they're gonna have, they're gonna have those experiences in a lot of different places and I think that'll be super fascinating to see.[00:47:40] swyx: This is for the builders out there. What's an AI thing you would pay for if someone built it with their personal[00:47:45] Logan Kilpatrick: work? I think more stuff around like transfer learning for, like making transfer, learning easier. Like I think that's truly the way to. Build really cool things is transfer learning, fine tuning, and I, I don't think that there's enough.[00:48:04] Jeremy Howard who created Fasted AI talks a lot about this. I mean, it's something that really resonates with me and, and for context, like at Apple, all the machine learning stuff that we did was transfer learning because it was so powerful. And I think people have this perception that they need to.[00:48:18] Build things from scratch and that's not the case. And I think especially as large language models become more accessible, people need to build layers and products on top of this to make transfer learning more accessible to more people. So hopefully somebody builds something like that and we can all train our own models.[00:48:33] I think that's how you get like that personalized AI experiences you put in your stuff. Make transfer learning easy. Everyone wins. Just just to vector in[00:48:40] swyx: a little bit on this. So in the stable diffusion community, there's a lot of practice of like, I'll fine tune a custom dis of stable diffusion and share it.[00:48:48] And then there also, there's also this concept of, well, first it was textual inversion and then dream booth where you essentially train a concept that you can sort of add on. Is that what you're thinking about when you talk about transfer learning or is that something[00:48:59] Logan Kilpatrick: completely. I feel like I'm not as in tune with the generative like image model community as I probably should be.[00:49:07] I, I think that that makes a lot of sense. I think there'll be like whole ecosystems and marketplaces that are sort of built around exactly what you just said, where you can sort of fine tune some of these models in like very specific ways and you can use other people's fine tunes. That'll be interesting to see.[00:49:21] But, c.ai is,[00:49:23] swyx: what's it called? C C I V I Ts. Yeah. It's where people share their stable diffusion checkpoints in concepts and yeah, it's[00:49:30] Logan Kilpatrick: pretty nice. Do you buy them or is it just like free? Like open. Open source? It's, yeah. Cool. Even better.[00:49:34] swyx: I think people might want to sell them. There's a, there's a prompt marketplace.[00:49:38] Prompt base, yeah. Yeah. People hate it. Yeah. They're like, this should be free. It's just text. Come on, .[00:49:45] Alessio Fanelli: Hey, it's knowledge. All right. Last question. If there's one thing you want everyone to take away about ai, what would.[00:49:51] Logan Kilpatrick: I think the AI revolution is gonna, you know, it's been this like story that people have been talking about for the longest time, and I don't think that it's happened.[00:50:01] It was really like, oh, AI's gonna take your job, AI's gonna take your job, et cetera, et cetera. And I think people have sort of like laughed that off for a really long time, which was fair because it wasn't happening. And I think now, Things are going to accelerate very, very quickly. And if you don't have your eyes wide open about what's happening, like there's a good chance that something that you might get left behind.[00:50:21] So I'm, I'm really thinking deeply these days about like how that is going to impact a lot of people. And I, I'm hopeful that the more widespread this technology becomes, the more mainstream this technology becomes, the more people will benefit from it and hopefully not be affected in that, in that negative way.[00:50:35] So use these tools, put them into your workflow, and, and hopefully that will, and that will acceler. Well,[00:50:41] swyx: we're super happy that you're at OpenAI getting this message out there, and I'm sure we'll see a l

Max Katz, veteran developer advocate at Okta, joins the whole gang (Josh Juneau, Ian Hlavats, Daniel Hinojosa and Kito Mann) for a wide-ranging discussion about the good ol' days of Exadel, RichFaces, and JSF, as well as No Code and Low Code solutions like Okta Workflows, Airtable, Webflow and even old-school solutions like Yahoo! Pipes and IBM Notes. In addition, they discuss the Payara Cloud Preview, new features in Jakarta EE 10, Github CoPilot, JetBrains Space, Okta/Auth0, and more. We Thank DataDog for sponsoring this podcast! https://www.pubhouse.net/datadog Server Side Java - Payara Cloud Preview (https://www.payara.fish/products/payara-cloud/) - Writing JSF pages in Java (https://github.com/jakartaee/faces/issues/1581) - The Top 5 New Features Coming in Jakarta EE 10 (https://newsroom.eclipse.org/eclipse-newsletter/2022/april/top-5-new-features-coming-jakarta-ee-10) IDEs and Tools - CoPilot goes out of beta — $10/month or $100/year (https://github.com/features/copilot/) - OpenAI Codex (https://openai.com/blog/openai-codex/) - JetBrains is out of Russia and registered in the Netherlands: (https://twitter.com/tagir_valeev/status/1560654234772656129) - JetBrains Space (https://www.jetbrains.com/space/) Security - Okta / auth0 acquisition (https://auth0.com/blog/okta-acquisition-announcement/) - No installation of OSS software if it's on the CVE database (US law) (https://twitter.com/JGamblin/status/1560016175265972224) Low / No code tools - Okta Workflows (https://www.okta.com/platform/workflows/) - Airtable (https://www.airtable.com/) - WebFlow (https://webflow.com/) - Old school: Yahoo Pipes (https://en.wikipedia.org/wiki/Yahoo!_Pipes) Picks - iTerm (Kito) (https://iterm2.com/) - Rode Podcaster USB Dynamic Microphone (Kito) (https://www.amazon.com/gp/product/B000JM46FY/ref=ppx_od_dt_b_asin_title_s00?ie=UTF8&psc=1) - Rich-cli is a command line toolbox for fancy output in the terminal (Danno) (https://github.com/Textualize/rich-cli) - http://www.javapractices.com/topic/TopicAction.do (Danno) - StackBlitz (Dann) (https://stackblitz.com/) - Libby (Max) (https://libbyapp.com/library/mainlib) - Software Engineering Daily (podcast) (https://podcasts.apple.com/us/podcast/software-engineering-daily/id1019576853) - No Code Data Science tool written in JSF (Kito; not in podcast but strangely relevant) (https://nocodefunctions.com/blog/java-frontend-web-app/) Other Pubhouse Network podcasts - Breaking into Open Source (https://www.pubhouse.net/breaking-into-open-source) - OffHeap (https://www.javaoffheap.com/) - Java Pubhouse (https://www.javapubhouse.com/) Events - JavaZone - September 7-8, 2022, Oslo, Norway (https://dev.events/conferences/java-zone-oslo-8-2022) - JCONF.Dev - September 26-28, 2022, Chicago, IL (https://2021.jconf.dev) - ZipConnect - Devoxx - October 10-14, 2022, Antwerp, Belgium (https://devoxx.be/) - JCON Online 2022 - Sept 20-23 - Online (https://2022.jcon.one/) - JavaOne - October 17-20 - Las Vegas, NV, USA (https://www.oracle.com/cloudworld/javaone/) - connect.tech - Nov 8-10 - Atlanta, GA, USA (https://2021.connect.tech/) - Java Summit IL - November 21 - Tel Aviv, Israel (https://www.javasummitil.com/) - SpringOne - Dec 6-8 (CFP Open) San Francisco, CA USA or online (https://springone.io/) - Progressive Web Experience - Dec 4-7, Clearwater, FL (https://progressivewebexperience.io/) - Tech Leader Summit - Dec 7-9, Clearwater, FL (https://techleadersummit.io/) - ArchConf - Dec 12-15 Clearwater, FL (https://archconf.com/) - jChampions Conf - January 2023  

In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. Additional materials: www.superdatascience.com/584

Welcome back to Multimodal!  This episode we are exploring the latest developments in the multimodal AI space, I'll also be sharing a very big announcement!   Podcast Discussion Timestamps 00:00 - Intro 01:45 - Google Imagen 05:48 - Deepmind Gato 08:33 - Google Imagen used my prompt in their research paper! 09:44 - "Oversized Grizzly Bears" DALL-E 2 Meme Explained 15:01 - DALL-E 2 Creative Commons/Public Domain 17:16 - Big Announcement 22:47 - DALL-E 2: Recombinant Art & Design 29:40 - DALL-E 2 Discord Community 32:43 - Update on Essays on OpenAI Codex 40:10 - Closing thoughts   Show Notes/Links DALL-E 2 Announcement and waitlist: https://openai.com/dall-e-2/ https://labs.openai.com/waitlist Google Imagen: https://imagen.research.google/ Deepmind Gato: https://www.deepmind.com/publications/a-generalist-agent Oversized Grizzly Bear DALL-E 2 memes: https://twitter.com/search?q=(from%3Abakztfuture)%20grizzly GPT-X, DALL-E, and our Multimodal Future: https://www.youtube.com/playlist?list=PLza3gaByGSXjUCtIuv2x9fwkx3K_3CDmw DALL-E 2 Recombinant Art And Design: https://bakztfuture.substack.com/p/dall-e-2-recombinant-art-and-design Life In Code: https://www.amazon.ca/dp/B01N4P12XJ/ Essays on OpenAI Codex teaser: https://www.youtube.com/watch?v=EgkJ3hoRhTQ   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: dalle2 comments, published by nostalgebraist on April 26, 2022 on LessWrong. (i.) On April 6, OpenAI announced “DALLE-2” to great fanfare. There are two different ways that OpenAI talks to the public about its models: as research, and as marketable products. These two ways of speaking are utterly distinct, and seemingly immiscible. The OpenAI blog contains various posts written in each of the two voices, the “research” voice and the “product” voice, but each post is wholly one or the other. Here's OpenAI introducing a model (the original DALLE) in the research voice: DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs. [.] Like GPT-3, DALL·E is a transformer language model. It receives both the text and the image as a single stream of data containing up to 1280 tokens, and is trained using maximum likelihood to generate all of the tokens, one after another. This training procedure allows DALL·E to not only generate an image from scratch, but also to regenerate any rectangular region of an existing image that extends to the bottom-right corner, in a way that is consistent with the text prompt. And here they are, introducing a model (Codex) in the product voice: OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. [.] GPT-3's main skill is generating natural language in response to a natural language prompt, meaning the only way it affects the world is through the mind of the reader. OpenAI Codex has much of the natural language understanding of GPT-3, but it produces working code—meaning you can issue commands in English to any piece of software with an API. OpenAI Codex empowers computers to better understand people's intent, which can empower everyone to do more with computers. Interestingly, when OpenAI is planning to announce a model as a product, they tend not to publicize the research leading up to it. They don't write research posts as they go along, and then write a product post once they're done. They do publish the research, in PDFs on the Arxiv. The researchers who were directly involved might tweet a link to it. And of course these papers are immediately noticed by ML geeks with RSS feeds, and then by their entire social networks. It's not like OpenAI is trying to hide these publications. It's just not making a big deal out of them. Remember when the GPT-3 paper came out? It didn't get a splashy announcement. It didn't get noted in the blog at all. It was just dumped unceremoniously onto the Arxiv. And then, a few weeks later, they donned the product voice and announced the “OpenAI API,” GPT-3 as a service. Their post on the API was full of enthusiasm, but contained almost no technical details. It mentioned the term “GPT-3″ only in passing: Today the API runs models with weights from the GPT-3 family with many speed and throughput improvements. Machine learning is moving very fast, and we're constantly upgrading our technology so that our users stay up to date. It didn't even mention how many parameters the model had! (My tone might sound negative. Just to be clear, I'm not trying to criticize OpenAI for the above. I'm just pointing out recurring patterns in their PR.) (ii.) DALLE-2 was announced in the product voice. In fact, their blog post on it is the most over-the-top product-voice-y thing imaginable. It goes so far in the direction of “aiming for a non-technical audience” that it ends up seemingly addressed to small children. As in a picture book, it offers simple sentences in gigantic letters, one or two per page, each one nestled between huge comforting expanses of blank space. And sentences themselves are . well, st...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: dalle2 comments, published by nostalgebraist on April 26, 2022 on LessWrong. (i.) On April 6, OpenAI announced “DALLE-2” to great fanfare. There are two different ways that OpenAI talks to the public about its models: as research, and as marketable products. These two ways of speaking are utterly distinct, and seemingly immiscible. The OpenAI blog contains various posts written in each of the two voices, the “research” voice and the “product” voice, but each post is wholly one or the other. Here's OpenAI introducing a model (the original DALLE) in the research voice: DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs. [.] Like GPT-3, DALL·E is a transformer language model. It receives both the text and the image as a single stream of data containing up to 1280 tokens, and is trained using maximum likelihood to generate all of the tokens, one after another. This training procedure allows DALL·E to not only generate an image from scratch, but also to regenerate any rectangular region of an existing image that extends to the bottom-right corner, in a way that is consistent with the text prompt. And here they are, introducing a model (Codex) in the product voice: OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. [.] GPT-3's main skill is generating natural language in response to a natural language prompt, meaning the only way it affects the world is through the mind of the reader. OpenAI Codex has much of the natural language understanding of GPT-3, but it produces working code—meaning you can issue commands in English to any piece of software with an API. OpenAI Codex empowers computers to better understand people's intent, which can empower everyone to do more with computers. Interestingly, when OpenAI is planning to announce a model as a product, they tend not to publicize the research leading up to it. They don't write research posts as they go along, and then write a product post once they're done. They do publish the research, in PDFs on the Arxiv. The researchers who were directly involved might tweet a link to it. And of course these papers are immediately noticed by ML geeks with RSS feeds, and then by their entire social networks. It's not like OpenAI is trying to hide these publications. It's just not making a big deal out of them. Remember when the GPT-3 paper came out? It didn't get a splashy announcement. It didn't get noted in the blog at all. It was just dumped unceremoniously onto the Arxiv. And then, a few weeks later, they donned the product voice and announced the “OpenAI API,” GPT-3 as a service. Their post on the API was full of enthusiasm, but contained almost no technical details. It mentioned the term “GPT-3″ only in passing: Today the API runs models with weights from the GPT-3 family with many speed and throughput improvements. Machine learning is moving very fast, and we're constantly upgrading our technology so that our users stay up to date. It didn't even mention how many parameters the model had! (My tone might sound negative. Just to be clear, I'm not trying to criticize OpenAI for the above. I'm just pointing out recurring patterns in their PR.) (ii.) DALLE-2 was announced in the product voice. In fact, their blog post on it is the most over-the-top product-voice-y thing imaginable. It goes so far in the direction of “aiming for a non-technical audience” that it ends up seemingly addressed to small children. As in a picture book, it offers simple sentences in gigantic letters, one or two per page, each one nestled between huge comforting expanses of blank space. And sentences themselves are . well, st...

Last year, the San Francisco-based research lab released OpenAI Codex, an AI model for translating natural language commands into app code. https://venturebeat.com/2022/02/02/deepmind-claims-its-new-code-generating-system-is-competitive-with-human-programmers/ Machine learning specialists are among the most in-demand talents in the technology space right now, with big companies like Snap, Zoom, and Microsoft courting engineers. https://www.businessinsider.com/how-to-land-job-as-machine-learning-engineer-250000-salary-2022-2?IR=T Typically, traffic lights change color in response to predetermined rules and inductive loop sensors embedded in the road. https://newatlas.com/good-thinking/artificially-intelligent-traffic-lights/ As AI models become more computationally intensive, engineers are looking for new types of materials and hardware to speed up the model development process. https://venturebeat.com/2022/02/04/celestial-ai-lands-56m-to-develop-light-based-ai-accelerator-chips/ A project in support of the National Oceanic and Atmospheric Administration (NOAA) is combining sensor-equipped drones with machine learning applications to automate the identification and mapping of marine debris and develop effective methods for their collection and disposal. https://dronedj.com/2022/02/07/researcher-pair-drones-machine-learning-against-marine-litter/ Visit www.integratedaisolutions.com

Welcome back to Multimodal!  Today's very special guest is David Shapiro.  He's an author, IT professional, and frequent OpenAI community forums contributor.  In this wide ranging discussion, we discuss the art of prompt design, his thoughts on InstructGPT, OpenAI codex, his new book, the OpenAI community at large, and share thoughts on fine tuning and so much more.   Podcast Discussion Timestamps 00:00 - Intro 02:48 - How David heard about OpenAI's GPT-3 05:57 - David's first time trying GPT-3/his favourite use cases 10:38 - Did GPT-3 feel advanced to you? 15:00 - What are the keys to great GPT-3 prompt design? 18:34 - How do you become a better writer? 25:43 - GPT-3: The end of the socially awkward developer (?) 30:16 - Is GPT-3 Prompt Design Over? (Chatting About InstructGPT) 34:21 - Open Fine Tuning Lessons Learned 42:00 - OpenAI Codex / David's Billion Dollar Use Case Idea 50:00 - Which AI Models David is using currently 53:15 - David's Book - Natural Language Cognitive Architecture 1:01:25 - What is the pathway from now to true AGI? 1:08:41 - Thoughts/feedback about the OpenAI Community Forums 1:18:40 - My Feedback on OpenAI's Community Forums 1:22:00 - My Feedback on OpenAI's Community Forums II #hottake  1:24:46 - Multimodal AI technology 1:27:43 - What would you do with Multimodal AI? 1:32:38 - Where do you see all of this stuff going? 5-10 years 1:35:24 - Closing thoughts   Show Notes/Links OpenAI: https://openai.com/blog/instruction-following/ https://openai.com/blog/openai-codex/ https://beta.openai.com/docs/guides/fine-tuning Fine tuning notes: https://bakztfuture.substack.com/p/openai-fine-tuning-feedbacknotes GPT-3 navigates the New York subway by Mark Ryan: https://www.youtube.com/watch?v=Xzb1Vc8dYAY The Language Instinct: How the Mind Creates Language by Steven Pinker  https://www.amazon.ca/Language-Instinct-How-Mind-Creates/dp/1491514981 My Biggest 2022 Prediction: GPT-3 will take over schools and college campuses https://bakztfuture.substack.com/p/my-biggest-2022-prediction-gpt-3 GPT-3 - The End of the Socially Awkward Developer (?) https://bakztfuture.substack.com/p/gpt-3-the-end-of-the-socially-awkward GPT-3 Twitter Spaces Event: https://twitter.com/bakztfuture/status/1491260407579054087?cxt=HHwWjsDU1ZHcgrIpAAAA   Follow David Shapiro (daveshapautomator):   https://www.davidkshapiro.com/home    https://www.linkedin.com/in/dshap-automator/   https://github.com/daveshap    https://community.openai.com/u/daveshapautomator/summary   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI's Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI's Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.

This week in the podcast, I'm discussing the latest research developments coming from OpenAI as well as the new cryptocurrency started by OpenAI CEO Sam Altman. 02:32 - OpenAI Codex last episode follow up 09:30 - Sam Altman's Worldcoin / Conspiracy Theory about the purpose of this cryptocurrency 17:54 - "Math GPT-3" Review Carp: https://arxiv.org/abs/2110.03111 GPT-3 vs OpenAI codex on Google trends: https://trends.google.com/trends/explore/TIMESERIES/1634520000?hl=en-GB&tz=240&date=all&geo=CA&q=gpt-3,openai+codex&sni=3 Codex polls: https://twitter.com/bakztfuture/status/1450814233231314948 https://www.youtube.com/user/bakztfuture/community Worldcoin - https://worldcoin.org/ "Math GPT-3" blog post - https://openai.com/blog/grade-school-math/   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Is OpenAI Codex fizzling out? Today, I explore potential reasons why this could be the case.   05:42 - GPT-3 product launch vs. OpenAI Codex product launch 09:30 - What do I believe may be the cause of OpenAI Codex fizzling out? Reason #1 ... 10:28 - Reason #2 12:15 - Reason #3 13:34 - OpenAI codex use cases 14:40 - The best use case for OpenAI Codex 18:31 - OpenAI Codex UI 20:50 - OpenAI Codex Javascript Sandbox is awesome 22:20 - Zero shot code generation   GPT-3 vs OpenAI codex on Google trends: https://trends.google.com/trends/explore/TIMESERIES/1634520000?hl=en-GB&tz=240&date=all&geo=CA&q=gpt-3,openai+codex&sni=3   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Chatting about GPT-3, YouTube Content Creation, Codex, and Multimodal AI with my friend Sandra Kublik!   Podcast breakdown: 02:10 - discussing Sandra's latest (trippy) video 13:14 - Thoughts about GPT-3 22:08 - OpenAI Codex early impressions 31:35 - Thoughts on DALL-E 37:31 - Kairos Data Labs and Sandra's upcoming book on GPT-3   Sandra Kublik: Linkedin https://www.linkedin.com/in/sandrakublik/ Youtube https://www.youtube.com/c/technocratic Twitter https://twitter.com/sandra_kublik/ Instagram https://www.instagram.com/sandra_kublik/   Kairos Data Labs: Linkedin https://www.linkedin.com/company/79707767/ Twitter https://twitter.com/KairosDataLabs Nextgrid: https://nextgrid.ai/ https://www.meetup.com/pl-PL/Deep-Learning-Labs/     Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

In this episode I discuss Brain Computer Interfaces with Slava Bobrov, a self-taught Machine Learning Engineer applying AI to neural biosignals to control robotic limbs. This episode will be of special interest to you if you're an engineer who wants to get started with brain computer interfaces, or just broadly interested in how this technology could enhance human intelligence. Fun fact: most of the questions I asked were sent by my Twitter followers, or come from a Discord I co-created on Brain Computer Interfaces. So if you want your questions to be on the next video or you're genuinely interested in this topic, you can find links for both my Twitter and our BCI discord in the description. Outline: 00:00 introduction 00:49 defining brain computer interfaces (BCI) 03:35 Slava's work on prosthetic hands 09:16 different kinds of BCI 11:42 BCI companies: Muse, Open BCI 16:26 what Kernel is doing (fNIRS) 20:24 EEG vs. EMG—the stadium metaphor 25:26 can we build "safe" BCIs? 29:32 would you want a Facebook BCI? 33:40 OpenAI Codex is a BCI 38:04 reward prediction in the brain 44:04 what Machine Learning project for BCI? 48:27 Slava's sleep tracking 51:55 patterns in recorded sleep signal 54:56 lucid dreaming 56:51 the long-term future of BCI 59:57 are they diminishing returns in BCI/AI investments? 01:03:45 heterogeneity in intelligence after BCI/AI progress 01:06:30 is our communication improving? is BCI progress fast enough? 01:12:30 neuroplasticity, Neuralink 01:16:08 siamese twins with BCI, the joystick without screen experiment 01:20:50 Slava's vision for a "brain swarm" 01:23:23 language becoming obsolete, Twitter swarm 01:26:16 brain uploads vs. copies 01:29:32 would a copy be actually you? 01:31:30 would copies be a success for humanity? 01:34:38 shouldn't we change humanity's reward function? 01:37:54 conclusion

**รายการนี้เหมาะสมสำหรับผู้ฟังทุกเพศทุกวัย **. กลับพบกันใหม่หลังหายไป 1 เดือน พวกเรา The Ping! ขอประเดิมการcomeback ด้วยคอนเทนต์คุณภาพกับรายการใหม่มาแรงง “หาหัวใส่เหา” รายการรีวิวทุกอย่างทั่วสารทิศตั้งแต่สากกะเบือยันวงแหวนดาวอังคาร . หลังจากผลตอบรับของตอนแรกดีเยี่ยม ขอขอบคุณลุงไนท์มานะที่นี้ด้วย คราวนี้ก็ย้ายฟากมาเป็นแนวล้ำสมัยบ้างกับการรีวิว OpenAI Codex โปรแกรม machine learning โคตรอัจฉริยะ สุดเพ้อฝันที่เล่าให้ใครฟังก็ว่าโม้ ที่จะทำให้ทุกคนสามารถเขียนโปรแกรมได้โดยไม่ต้องรู้ภาษาการเขียนโปรแกรมเลยสักภาษาเดียว ว่าแต่มันเป็นยังไง?มันใช้ทำอะไร?มันมาจากไหน?แล้วมันจะช่วยสร้างอนาคตที่สดใสบนโลกใบนี้อย่าง?ก็มาดิครับบบบ . มาค้นหาว่าเรื่องทั่วไปจะไม่ทั่วไปได้ขนาดไหนไปด้วยกัน

Artificial Intelligence Podcast Podcast Notes Intro Three levers for intelligent artificial systems: computation, algorithms, and dataNeural networks – programs with intelligence and depth that allow multiple steps of computationDeep Learning provides space for these neural networks to be searchable and actionableReinforcement learning – optimal algorithm for learning & intelligence. Learning environment created for maximum cumulative reward from a data stream.Compression – a process of encoding information using fewer bits than the original representationAs pattern recognition and prediction making improves at a compounding rate, intelligence starts to look a lot like consciousnessWojciech Zaremba is working on the cutting edge of artificial intelligence withOpenAIGPT-3 – a neural network that is trained to identify the next meaningful word in sentencesUnderstands background context and arbitrary personality when participating in communicationCould one day assist in the formulation of AI friendships and relationshipsOpenAI Codex – AI system that translates natural language into code; Codex is offered as an APIImports code from places like StackOverflow and adjusts it based on the context of your project to solve your text-based requestBrings humans closer to computers, creates more of a shared language for productivity even among non-technical peopleCreates incredible efficiency in translating an idea into a technological solutionWojciech recommends meditation – helps achieve his mental zero balance allowing him to receive memoryless and raw incoming sensory information“You experience things without a prompt” – Wojciech Zaremba on meditations ability dissolve the egoRead the full notes @ podcastnotes.orgWojciech Zaremba is a co-founder of OpenAI. Please support this podcast by checking out our sponsors: – Paperspace: https://gradient.run/lex to get $15 credit – Indeed: https://indeed.com/lex to get $75 credit – Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium – Grammarly: https://grammarly.com/lex to get 20% off premium – Eight Sleep: https://www.eightsleep.com/lex and use code LEX to get special savings EPISODE LINKS: Wojciech's Twitter: https://twitter.com/woj_zaremba Wojciech's Website: https://wojzaremba.com/ OpenAI's Website: https://openai.com/ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the sponsors

Wojciech Zaremba is a co-founder of OpenAI. Please support this podcast by checking out our sponsors: – Paperspace: https://gradient.run/lex to get $15 credit – Indeed: https://indeed.com/lex to get $75 credit – Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium – Grammarly: https://grammarly.com/lex to get 20% off premium – Eight Sleep: https://www.eightsleep.com/lex and use code LEX to get special savings EPISODE LINKS: Wojciech's Twitter: https://twitter.com/woj_zaremba Wojciech's Website: https://wojzaremba.com/ OpenAI's Website: https://openai.com/ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the sponsors

Who wants to take bets about when Tesla Bot will be ready? Chris is finishing up his summer consulting project and getting ready to start his CS Masters program. Christian spent 0 hours on fileinbox last week, and instead created a mini web app to show people's "life timelines"... was that time well spent? 00:00 Intro 06:25 Using AI for a large variety of problems 12:54 Tesla bot 18:05 Is Elon Musk a positive or negative role model? 21:46 Singular minded focus 24:39 Chewing glass and staring into the abyss 26:52 Life timeline - Christian's latest project 37:09 OpenAI Codex for code creation 46:40 Finding motivation 48:15 Why is OAuth so hard? (meta point) 51:37 Relationship with email 55:33 How to reach people like Christian? Timestamps created with https://clips.marketing by @cgenco Demeo VR turn based "D&D" style game: https://www.resolutiongames.com/demeo Life Timeline: https://www.lifetimeline.app/

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT offer code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT code TWIT75 casper.com/twit1 - promo code: TWIT1

Sam Abuelsamid from the Wheel Bearings podcast talks about the National Highway Traffic Safety Administration's investigation into the safety of Tesla autopilot systems. Anna Kramer from Protocol discusses the about-face that OnlyFans made after only days ago banning explicit sexual content from its platform and facing major blowback. Thomas Smith was one of the beta testers of OpenAI's Codex system and he shares his insights into how effective it is at writing code so that humans don't have to. Jason Howell just got the new Samsung Galaxy Watch 4 Classic and walks through some of the features in a first look at the hardware. Host: Jason Howell Guests: Sam Abuelsamid, Anna Kramer, and Thomas Smith Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit udacity.com/TWiT code TWIT75 casper.com/twit1 - promo code: TWIT1

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

T-Mobile Says Over 40 Million Customer Records Affected in Hack. 7 principles for regulation in the IoT era. OpenAI Codex demo of code writing code. Jason's review of the Pixel 5a from All About Android. The Google Pixel 6 won't ship with a charger. New U.S. Antitrust Bill Would Require Apple and Google to Allow Third-Party App Stores and Sideloading. Bad News, By Joseph Bernstein. CES 2022 to require proof of vaccination against COVID-19. Moderna Is About to Begin Trials for HIV Vaccine Based on COVID-19 Research. People Now Spend More at Amazon Than at Walmart. Remember Yik Yak? Well, it's back and still anonymous. Crypto platform hit by $600 million heist asks hacker to become its chief security advisor. Delightful Google ad imagines the Perseverance Mars rover using Google Photos. Twitter taps crypto leader Jay Graber to head Bluesky. Beijing Tightens Grip on ByteDance by Quietly Taking Stake, China Board Seat. BlackBerry resisted announcing major flaws in software powering cars, hospital equipment. Facebook is sharing data to prove it's not a political hellhole. Google-backed 'Matter' smart home standard, first gadgets delayed into next year. Google Fuchsia update is rolling out widely to 1st-gen Nest Hubs. Google Maps Just Dropped a Bunch of New App Features, Including Dark Mode. Google Calendar will soon let you share where you're working from. YouTube on iOS, Android tests instant comment translations for Premium subscribers. Android's latest accessibility feature lets you control your phone w/ facial expressions. Google Chrome is redesigning the Incognito tab, possibly in response to $5 billion lawsuit. Twitter's new font, Chirp, is apparently giving some users headaches Disney unveils Genie services to replace FastPass, MaxPass: The latest on global Disney parks. Picks: Stacey - This Is How They Tell Me the World Ends: The Cyberweapons Arms Race - by Nicole Perloth Jeff - Wendy's to open 700 ghost kitchens with Reef Technology Ant - This Is Pop Ant - Error. Fire Not Found Ant - Register for Wanderers Photo Workshop in NOLA Leo - Waffles and Mochi Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Modern Finance

How close are we to AGI? Download the Callin app for iOS and Android to listen to this podcast live, call in, and more! Also available at callin.com

We take part in the OpenAI Codex Challenge Download the Callin app for iOS and Android to listen to this podcast live, call in, and more! Also available at callin.com

0:00 Always be ready 0:08 Samsung Unpacked 2021 1:51 Poly Network crypto heist 2:52 RX 6600 XT, RTX A2000 3:42 Manscaped 4:14 QUICK BITS 4:25 GamersNexus exploding PSUs story 4:50 Xiaomi Cyberdog 5:17 Apple drops Corellium lawsuit 5:43 Amazon to pay injured customers 6:06 OpenAI Codex natural language programming

In this really special episode, I have my first guests ever!  They are official OpenAI ambassadors and experts in the GPT-3/multimodal world.   We discuss OpenAI codex in great detail: The OpenAI event yesterday Our first impressions of OpenAI Codex Experiments we've already ran with OpenAI Codex The nature of programming itself GPT-3 vs. OpenAI Codex How OpenAI codex is changing how we view code and our roles as developers Near term trends/effects we may see   Yash Dani   https://twitter.com/itsyashdani   Abran Maldonado    https://twitter.com/abran https://www.instagram.com/createlab @abran on clubhouse   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

iPhone 13 ProRes camera / Senate Bill Passes on Crypto / Google Restrict Kids Ads / OpenAI Codex

Im MIXEDCAST #254 sprechen Max und Matthias interessante KI-Neuigkeiten der letzten Wochen durch: OpenAI stellt mit Codex ein auf Programmiersprache optimiertes KI-Modell vor, Deepminds Prognose-KI Alphafold stiftet realen Nutzen und KI-Tüftler zeigen GTA 5 durch die Augen eines GA-Netzes. OpenAI Codex: Turbo fürs KI-Coding Mit Codex erweitert OpenAI das eigene Angebot an KI-Services um einen KI-Co-Programmierer, der für Instagram-Mitgründer Mike Krieger "die erstaunlichste Anwendung maschinellen Lernens" überhaupt ist. Zum Einsatz kommt Codex zunächst bei Microsofts Github Copilot, einem Entwicklerwerkzeug, das laut OpenAI in Dutzenden Programmiersprachen Unterstützung leisten kann durch Autovervollständigung und mehr. Mehr: https://mixed.de/openai-codex-wirft-den-ki-turbo-fuers-coden-an/ Deepmind Alphafold im Praxiseinsatz Deepmind und die Genfer Initiative für vernachlässigte Krankheiten wollen mit Alphafold parasitäre Krankheiten heilen. Dafür unterstützt Alphafold bei der Vorhersage von Proteinstrukturen, die wiederum bei der Entwicklung neuer Medikamente helfen: Mit der Hilfe von Alphafold konnten Forscher in den letzten 18 Monaten ein Molekül identifizieren, das ein Protein eines gefährlichen Parasiten bindet und ihn so tötet. Ohne Alphafold hätte diese Entdeckung wohl Jahre benötigt. Mehr: https://mixed.de/deepmind-alphafold-im-einsatz-gegen-toedliche-parasiten/ GTA 5 durch die Augen einer KI Im letzten Mai stellte Nvidia Game GAN vor: Die besonders für Deepfakes bekannte GAN-Technologie (Geschichte) stellte Nvidia hier als alternative Technik für die Spieleentwicklung vor. Die Vision: codelose Programmierung. Nvidia zeigte das am Beispiel von Pac-Man. Der YouTuber Harrison Kinsley und der KI-Entwickler Daniel Kukieła setzten sich ein höheres Ziel als Pac-Man: Sie wollten das aufwendige und umfangreiche 3D-Spiel GTA 5 mit Game GAN nachstellen. Zwei Monate nahmen sie sich Zeit und erzielten ein Ergebnis, das weit von einem perfekten KI-Klon entfernt ist, aber dennoch Wiedererkennungswert bietet. Mehr: https://mixed.de/gan-theft-auto-ki-generiert-spielbare-gta-5-szene/ Demo: https://github.com/sentdex/GANTheftAuto/ Den MIXED.de-Podcast gibt es bei Soundcloud, Spotify, iTunes, in der Google Podcast-App oder als RSS-Feed. Mehr Infos und alle Folgen: mixed.de/podcast Bitte unterstütze unsere Arbeit mit einem Werbefrei-Abo für die Seite: mixed.de/abo Oder einem Einkauf über unseren Amazon-Link (ohne Aufpreis für Dich): amzn.to/2Ytw5CN mit einem deaktivierten Werbeblocker oder einer positiven Bewertung bei iTunes, Spotify und Co.

In this episode, I will be talking about Github Copilot and OpenAI Codex: What it is What it's like using it How I got access to Github Copilot How I'm finding it so far Current constraints/limitations Societal impacts / does this mean the end of programming?   Github Copilot: https://copilot.github.com/   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Any sufficiently advanced technology is indistinguishable from magic. Let's explore if our audience can tell the difference. SHOW: 528SHOW SPONSORS:Okta - Safe Identity for customers and workforceTry Okta for FREE (Trial in 10 minutes)CloudZero - Cloud Cost Intelligence for Engineering TeamsCBT Nuggets: Expert IT Training for individuals and teamsSign up for a CBT Nuggets Free Learner account SHOW NOTES:GitHub CoPilot - Your AI Pair-ProgrammerAWS Launches InfinidashClarke's Three LawsCollege athletes can now make money on Name, Image and Likeness (NIL)SOMETIMES SOMETHING COMPLETELY NEW COMES ALONG...It might be 5yrs, 10yrs or 100yrs, but eventually (sometimes) things change and they might be awesome! CAN WE EVER FIGURE OUT IF THE NEW STUFF IS REALLY NEW AND AWESOME?GitHub CoPilot suggests lines of code or entire functions, within the context of your GitHub Codespace. It's built on OpenAI Codex.Real issues: Does it align licenses? Are the code suggestions secure? Do the suggestions write tests or docs? Maybe issues: Do we need good coders anymore? Maybe opportunities: Can you bootstrap an entire company on top of this? Enabling more people to code more easily is a good thing, right? AWS Infinidash is designed to address the one major issue that AWS hasn't addressed yet - using their network is really expensive and it never gets cheaper. [NOTE: Pure Speculation, might not be 100% (or 1%) correct] Hybrid Cloud is a real thing, and IT networking is free, because you never see a bill for it.AWS now loves Hybrid Cloud, and they also love the environment (it's in the new Amazon Leadership Principles), so AWS Snowmobile isn't a realistic options because it's not 100% electric and self-driving, and because Amazon can now package your USB drives in the same packages they use with Amazon Prime, so they'll be back daily to pick up data - Infinidash Prime.Within AWS, all networking across AZs and Regions is now free, because people can't follow the AWS best practices, and AWS doesn't like people complaining when there is an outage that would be avoided by using Multi-AZ or Multi-Region. But how will AWS make money? Well, they invented Lambda with microsecond billing, so they really don't even want you to use EC2 anymore. This has all been a long-game to get more people using Amazon Prime. FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

2021-06-29 Weekly News - Episode 109Watch the video version on YouTube at https://youtu.be/wllYx_nx3EAHosts: Eric Peterson - Senior Developer for Ortus SolutionsThanks to our Sponsor - Ortus SolutionsThe makers of ColdBox, CommandBox, ForgeBox, TestBox and almost every other Box out there. A few ways  to say thanks back to Ortus Solutions: Like and subscribe to our videos on YouTube.  Sign up for a free or paid account on CFCasts, which is releasing new content every week Buy Ortus's new Book - 102 ColdBox HMVC Quick Tips and Tricks on GumRoad (http://gum.co/coldbox-tips) Patreon SupportWe have 39 patreons providing 90% of the funding for our Modernize or Die Podcasts via our Patreon site: https://www.patreon.com/ortussolutions. If you love our podcasts and all we do for the #coldfusion #cfml community considers chipping in, we are almost there!https://www.ortussolutions.com/blog/we-need-your-help News and EventsLucee 5.3.8 ReleasedThis has been a very long release cycle, a massive thank you to everyone who has been helping us test and address regressions and performance problems…We have done a lot of work in 5.3.8 to optimise memory usage, the main two areas being improved was the template cache handling and parallel functionality.Highlights: structValueArray Array methods: shift(), unshift(), push(), pop(), splice() Reevaluate performance of locking overhead in pc.initApplicationContext() for every request Query of Query performance is very bad and single threaded for complex SQL https://dev.lucee.org/t/new-stable-release-5-3-8-189/8484Ortus Webinar for June - Eric Peterson - Topic - Build a Blog in 30 minutes with QuickWednesday, June 30th at 11:00 AM CTIn this webinar, Eric will: give us an overview of ColdBox and Quick, give us reasons why we would use this library, he'll show us an example app to explore how it works and we'll have tons of live coding!Webinars Page: https://www.ortussolutions.com/events/webinars Registration: https://us02web.zoom.us/meeting/register/tZIsd-2qrzMiG9DIROF-hQGy8Qj2TUkGHGth Reminder - State of the CF Union SurveyHelp us find out the state of the CF Union – what versions of CFML Engine do people use, what frameworks, tools etc. We will share the summary results with everyone who completes the survey so that you can see how you compare with other CF developers.Spread the news so we can get as many responses as possible.https://teratech.com/state-of-the-cf-union-2021-survey CFCasts Content Updateshttp://www.cfcasts.com Just ReleasedObject-Oriented Programming with Nolan Erck (https://cfcasts.com/series/oop-series) NOW WITH CAPTIONS! Intro to DI : Persistence, object creation, object communications, object relations Behavioral Patterns : Intro + Showcase Memento, Observer, Strategy Structural Patterns : Intro + Showcase Adapter, proxy, Decorator Don't forget - the first 4 videos in this series are FREE Coming this week Object-Oriented Programming with Nolan Erck (https://cfcasts.com/series/oop-series) Clean Code Code Smells Intro to Refactoring Up and Running with Quick - Quick Workshop Series Coming up soon More What's new with ColdBox 6 More What's new in qb 8 More Using DocBox LogBox 101 Send your suggestions at https://cfcasts.com/supportConferences and TrainingICYMI: Adobe ColdFusion Developers WeekJune 22-24, 2021 - OnlineCoders, mark your calendars for Adobe ColdFusion Developer Week 2021!Coders, Adobe ColdFusion Developer Week 2021 is edging closer! This year, we've lined up a series of sessions and webinars that will give you a 360-degree view of ColdFusion 2021's brand new features and updates. Right from developing cloud-native applications to reducing downtime, these webinars will let you in on the best tips to deploy applications rapidly and seamlessly.This is your chance to meet coders from across the globe and exchange ideas with some of the best minds in the industry. And that's not all! Your presence at the conference will earn you points that can help you win exciting prizes and vouchers. Our scoreboard will keep track of active participation!Whether you're a new developer, someone with little or no experience with Adobe ColdFusion, or even if you have been using it all your life, Adobe ColdFusion Developers Week 2021 is where you need to be. Don't miss out!https://adobe.vconfex.com/site/adobe-coldfusion-developer-week/977Ortus's Conferences for 2021Into the Box 2021 - live in Person in Texas.September 23rd and 24th.No workshops this year.Call for speakers coming this week now we know we're in person.Deadline for Call for Speakers June 30 - so submit ASAP - https://docs.google.com/forms/d/e/1FAIpQLScXkZe7W-frEV5M4Id28Cz0wSr7meyJQfOnYEXgj7lzhcEA6g/viewformhttps://intothebox.orghttps://itb2021.eventbrite.comITB Latam 2021 - live in personDecember 2nd or 3rd 2021 (confirming dates asap)More conferencesNeed more conferences, this site has a huge list of conferences for almost any language/community.https://confs.tech/Blogs, Tweets and Videos of the WeekBlog - Ben Nadel - Generating Color Swatches With GraphicsMagick And Lucee CFML 5.3.7.47The idea here is rather simple: I want to take the HEX value and generate a blank canvas using said HEX value as the background color. Then, I want to add a text-label for the HEX value and position in the bottom-left corner of the canvas.https://www.bennadel.com/blog/4070-generating-color-swatches-with-graphicsmagick-and-lucee-cfml-5-3-7-47.htmTweet - Terry Beard#CFML #CF2018 deserializeJSON seems to be converting foo: true to foo: "YES". Anyone have any experience with this? #Coldfusionhttps://twitter.com/snackboy/status/1408459384053768198Blog - Ben Nadel - Using The OWASP Java HTML Sanitizer In Lucee CFML 5.3.7.48 To Sanitize HTML Input And Prevent XSS AttacksEarlier this week, at the Adobe ColdFusion Developer Conference, Charlie Arehart mentioned that the OWASP AntiSamy project was added to Adobe ColdFusion 11. I started using the AntiSamy project back in ColdFusion 10, and hadn't realized that it was now a native part of the ColdFusion runtime. This inspired me to go back and re-read my old post wherein I remembered that Matthew Clemente mentioned yet another OWASP project of relevance called the Java HTML Sanitizer. To keep things exciting, I decided to play around a bit with this Java HTML Sanitizer project in Lucee CFML 5.3.7.48.https://www.bennadel.com/blog/4071-using-the-owasp-java-html-sanitizer-in-lucee-cfml-5-3-7-48-to-sanitize-html-input-and-prevent-xss-attacks.htmBlog - Adam Cameron -  CFML: tag-based versions of some script-based codeAs I mentioned yesterday ("CFML: tag-based versions of some script-based code") I've been asked by a couple of people to show the tag-based version of the script-based CFML code. This has ben particularly in reference to my typical approach of using higher-order functions to perform data transformation operations on iterable objects (eg: arrays, structs, lists, etc). Here I will briefly do that for some examples of using mapping functions. The process is the same each time, so I'll not dwell on it too much.https://blog.adamcameron.me/2021/06/cfml-tag-based-versions-of-some-script.htmlhttps://blog.adamcameron.me/2021/06/cfml-higher-order-functions-compared-to.htmlCFML JobsSeveral positions available on https://www.getcfmljobs.com/Listing over 143 ColdFusion positions from 65 companies across 99 locations in 5 Countries.3 new jobs listed this weekFull-Time     ColdFusion Developer at Wichita, KS     United States     Full-Time     ColdFusion Application Developer at Mumbai, Maharashtra     India     Full-Time     ColdFusion Application Developer at Pune, Maharashtra     IndiaOrtus Jobs https://www.ortussolutions.com/about-us/careersSenior ColdFusion CFML Developer (USA TEAM)Desarollador Web (EL SALVADOR TEAM)ForgeBox Module of the WeekcbauthThe latest update adds an `onInvalidCredentials` interception point as well as passing along the provided username and password to all the authentication-related interception points.https://forgebox.io/view/cbauthVS Code Hint Tips and Tricks of the WeekGitHub Copilot by GitHub (preview)GitHub Copilot is an AI pair programmer that helps you write code faster and with less work. GitHub Copilot draws context from comments and code, and suggests individual lines and whole functions instantly. GitHub Copilot is powered by OpenAI Codex, a new AI system created by OpenAI.https://copilot.github.com/Thank you to all of our Patreon SupportersThese individuals are personally supporting our open source initiatives to ensure the great toolings like CommandBox, ForgeBox, ColdBox,  ContentBox, TestBox and all the other boxes keep getting the continuous development they need, and funds the cloud infrastructure at our community relies on like ForgeBox for our Package Management with CommandBox. You can support us on Patreon here https://www.patreon.com/ortussolutions Bronze Packages and up, now get a ForgeBox Pro and CFCasts subscriptions as a perk for their Patreon Subscription. All Patreon supporters have a Profile badge on the Community Website All Patreon supporters have their own Private Forum access on the Community Website Don BellamyEric HoffmanDavid BelangerGary KnightGiancarlo GomezJonathan PerretMario RodriguesJeffry McGee - Sunstar MediaJohn Wilson - Synaptrix Yogesh MathurJoseph LamoreeBen NadelBrett DeLineCarl Von StettenCharlie ArehartDan CardDaniel GarciaDidier LesnickiEdgardo CabezasJan JannekJason DaigerJeff McClainJeremy AdamsJonas ErikssonJordan ClarkKai KoenigLaksma TirtohadiLeon SeremelisMatthew DarbyMatthew ClementeMingo HagenPatrick FlynnRoss PhillipsScott SteinbeckStephany MongeSteven KlotzDean MaunderYou can see an up to date list of all sponsors on Ortus Solutions' Websitehttps://ortussolutions.com/about-us/sponsors ★ Support this podcast on Patreon ★