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2 episodes with codewhisperer
2 episodes with codewhisperer
2 episodes with codewhisperer
2 episodes with codewhisperer
3 episodes with codewhisperer
3 episodes with codewhisperer
2 episodes with codewhisperer
Derek Ferguson from The Fitch Group returns to share how his team of 600+ developers leverages generative AI tools like Amazon's CodeWhisperer and implements DORA metrics to boost productivity and team health. In this second part of the conversation, he delves into the transformative impact of these tools and the innovative strategies driving adoption and success at scale. Listen to Derek's experiences in introducing cutting-edge tools to a large organization, his lessons in fostering experimentation, and the surprising parallels between today's AI adoption and the internet boom. From the role of community practices versus centers of excellence to pragmatic advice on technology adoption, this episode is packed with actionable insights for leaders and developers alike. Stick around for Derek's perspective on the evolving role of technologists in an AI-driven world and how music creation intersects with his tech expertise. Inside the episode… • Exploring generative AI for software development and its transformative potential. • Implementing DORA metrics to boost productivity and enhance team alignment. • Lessons learned from scaling technology practices across large organizations. • The balance between prescriptive guidance and fostering creativity in teams. • Insights into creating impactful developer communities of practice. Mentioned in this episode • Generative AI tools (e.g., Amazon's CodeWhisperer) • DORA metrics (DevOps Research and Assessment) • Tools for music and tech crossover (e.g., RipX, Replicate) Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow. Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence
Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals. In this episode of the Eye on AI podcast, Varun Mohan, Co-Founder and CEO of Codeium, shares the journey behind building one of the most innovative AI-powered coding tools available today. Varun joins Craig Smith to explore the future of software development, the evolution of Codeium, and how generative AI is revolutionizing the way developers interact with codebases. As a leader in AI and software engineering, Varun discusses how Codeium integrates advanced AI to enable real-time code completion, refactoring, and even end-to-end application building. From processing billions of lines of code to making complex legacy systems like COBOL more accessible, Codeium is empowering developers to work smarter and faster. We delve into the challenges of managing massive codebases, the importance of maintaining security and self-hosted solutions, and how tools like Codeium stand apart from competitors like Copilot and CodeWhisperer. Varun also introduces **Cascade**, the AI assistant within Codeium's custom IDE, Windsurf, which merges human ingenuity with AI's reasoning capabilities for a seamless coding experience. Other fascinating topics include the role of AI in onboarding developers to complex systems, its ability to handle rare programming languages, and how Codeium is reshaping the software lifecycle from design to deployment. Learn how Codeium is redefining the possibilities of software development with AI, and what the future holds as this technology continues to evolve. Don't miss this deep dive into AI-powered innovation with Varun Mohan. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Varun Mohan and Codeium (05:32) Introducing Codeium: AI-powered coding revolution (08:42) Competing with Copilot and CodeWhisperer (11:46) Using Codeium to streamline software development (14:01) Features of Cascade: Refactoring and automation (17:26) Building applications from scratch with Codeium (22:00) Enterprise adoption and recognition by JPMorgan Chase (23:14) The pivot to Codeium and lessons learned (24:32) The vision for Codeium's future
Po prawie 5 latach, ponownie zagościła u nas Agata Rygielska. Tym razem rozmawialiśmy o jej drodze od tłumaczki do kodującej Tech Writerki. Agata opowiedziała nam dlaczego postanowiła rozwijać swoje umiejętności techniczne, jakich języków i technologii się uczyła, w jaki sposób nabywała wiedzę, jakie były dla niej największe wyzwania oraz jakie ma plany na przyszłość. Na koniec dzielimy się wynikami krótkiej ankiety na temat kodowania, którą przeprowadziliśmy wśród Tech Writerów. Dowiecie się z niej m.in. jaki procent ankietowanych koduje a jaki zna rożnicę między Javą i JavaScriptem. Informacje dodatkowe: "#11 Robot dokumentuje część 2 - automatyzacja kontra ludzie", Tech Writer koduje: https://techwriterkoduje.pl/blog/2019/12/12/11 "Optimus - ofiara chorego systemu, który od lat niszczy polską przedsiębiorczość": https://forsal.pl/artykuly/780660,optimus-ofiara-chorego-systemu-ktory-od-lat-niszczy-polska-przedsiebiorczosc.html MadCap Flare: https://www.madcapsoftware.com/products/flare/ React: https://react.dev/ Docker: https://www.docker.com/ "#27 Tech Writer szkoli się z Pythona", Tech Writer koduje: https://techwriterkoduje.pl/blog/2021/2/17/27 lxml: https://lxml.de/ Jenkins: https://www.jenkins.io/ Babel: https://babeljs.io/ Rollup: https://rollupjs.org/ Git: https://git-scm.com/ Cursor AI: https://www.cursor.com/ Notepad++: https://notepad-plus-plus.org/ Visual Studio Code: https://code.visualstudio.com/ Strona Sebastiana Witowskiego: https://switowski.com/ "Modern Python Projects Course", Talk Python to Me: https://training.talkpython.fm/courses/modern-python-projects PyCharm: https://www.jetbrains.com/pycharm/ Vale: https://github.com/errata-ai/vale Static site generator: https://www.gatsbyjs.com/docs/glossary/static-site-generator/ "What is CodeWhisperer?", Amazon AWS Documentation: https://docs.aws.amazon.com/codewhisperer/latest/userguide/what-is-cwspr.html "Cascading Style Sheets", Wikipedia: https://simple.wikipedia.org/wiki/Cascading_Style_Sheets Sourcery: https://sourcery.ai/ Kotlin: https://kotlinlang.org/ Vasont CMS: https://www.globallinkccms.com/products/vasont "C Sharp (programming language)", Wikipedia: https://en.wikipedia.org/wiki/C_Sharp_(programming_language) "XSL Formatting Objects", Wikipedia: https://pl.wikipedia.org/wiki/XSL_Formatting_Objects Pykonik, Kraków Python User Group: https://www.meetup.com/pl-PL/pykonik/
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 27/04 a 03/05.
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 27/04 a 03/05.
Pour one out for CodeWhisperer, Amazon's AI-powered assistive coding tool. Learn more about your ad choices. Visit megaphone.fm/adchoices
En este episodio del podcast, descubrimos los secretos del mundo de la consultoría en la nube con Guille Ojeda, Arquitecto de Soluciones y AWS Community Builder. Exploraremos la aventura de trabajar por tu cuenta y desentrañaremos todas las vicisitudes a las que see enfrentan.Este es el episodio 4 de la 5ta temporada del Podcast de Charlas Técnicas de AWS.Tabla de Contenidos00:33 Conociendo a nuestro invitado02:10 Usando IA para escribir un libro?03:52 Metodología para escribir 3000 palabras al día05:10 El mundo de AWS desde el lado del consultor08:00 Evita las penalizaciones09:00 Entendiendo los requerimientos de cliente11:43 Statement of Work (SOW), el santo grial del consultor13:43 Ejemplo práctico, nuestra app NodeJS16:16 Pipeline de despliegue continuo17:52 Sistemas de monitorización18:44 Contenedores19:38 El proceso de Discovery y Comunicación21:59 La documentación23:10 Cuando falla la comunicación y documentación, llega CodeWhisperer!24:12 Cuando todo lo demás falla25:26 Te ven como un intruso26:16 Movamos a contenerizar nuestra app32:48 Pasos para dockerizar nuestra app NodeJS36:00 Infraestructura como Código (IaC), CDK39:47 La IA, ¿una amenaza o una herramienta productiva?43:46 La formación es clave46:00 Consideraciones finales.Redes Sociales del Invitado LinkedIN: https://www.linkedin.com/in/guilleojeda/Twitter: https://twitter.com/itsguilleojedaNewsletter invitado: https://www.simpleaws.dev/
En este episodio del podcast, entrevistamos a Raúl Melo, CTO de Datadope para discutir sobre el nuevo fenómeno de IA Generativa y descubrir en qué punto del camino estamos. También hablaremos sobre la importancia de la IA responsable y los problemas de seguridad que debemos atajar.Este es el episodio 3 de la 5ta temporada del Podcast de Charlas Técnicas de AWS.Tabla de Contenidos01:11 De la Observabilidad a la IA Generativa05:42 La tercera ola de la revolución tecnológica07:43 ¿Qué es la IA Generativa?10:30 Los lenguajes fundacionales (FMs)13:03 Evaluación de Modelos FMs13:51 Los procesos de entrenamiento e inferencia15:20 ¿Qué es el Fine-tuning?16:57 Hablemos de RAG19:24 Dejad de Alucinar!22:40 Amazon Knowledge Base y Agentes24:20 Guardrails, poniendo vallas a la IA.28:46 Mixtral, los grandes héroes del open-source30:50 Los sesgos, ese gran problema34:00 ¿Cambiará la IA los puestos de trabajos?37:10 CodeWhisperer, tu asistente de programación39:10 Buscando a los villanos de este espacio45:05 ¿Cómo arrancar por tu cuenta en la IA Generativa?Redes Sociales del InvitadoLinkedIN: https://www.linkedeifjcbdin.com/in/raulmelo/Contenido mencionado en este episodio:Sleeper Agents: Training Deceptive LLMs that persists through Safety Training: https://arxiv.org/pdf/2401.05566.pdfYoutube Karpathy: https://www.youtube.com/@AndrejKarpathyVídeos similares:#4.08 - La IA y el futuro del trabajo https://www.youtube.com/watch?v=IpJJHbCVDCc&t=240s#4.12 - Inteligencia Artificial Generativa https://www.youtube.com/watch?v=EsdLZ_kHV4Y&t=57s✉️ Si quieren escribirnos pueden hacerlo a este correo: podcast-aws-espanol@amazon.comPodes encontrar el podcast en este link: https://aws-espanol.buzzsprout.com/O en tu plataforma de podcast favoritaMás información y tutoriales en el canal de youtube de Charlas Técnicas#foobar #AWSenEspañol
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 25/11 a 01/12.
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 25/11 a 01/12.
Dans ce 20ème épisode, nous recevons Tiffany SOUTERRE, Senior Developer Advocate chez AWS, pour échanger sur l'Intelligence Artificielle Générative et comment celle-ci agite le milieu des développeurs. Nous explorons les dernières innovations d'AWS en matière d'IA, notamment CodeWhisperer, et comment les assistants de codage alimentés par l'IA peuvent aider à travailler plus efficacement. Nous abordons également le lien entre le cloud et la frugalité numérique, en discutant des défis liés à la gestion de l'augmentation du volume des données dans le cloud.
Last week in security news: Copilot and CodeWhisperer can in fact leak real secrets, an interesting teardown of a cloud cryptocurrency miner, the tool of the week, and more!Links: Copilot and CodeWhisperer can in fact leak real secrets. An interesting teardown of a cloud cryptocurrency miner. How to create an AMI hardening pipeline and automate updates to your ECS instance fleet How to improve your security incident response processes with Jupyter notebooks Tool of the week: If you've gotta use a WAF, aws-firewall-factory is a good pit stop for you.
Atul Deo, general manager for Amazon Bedrock, the generative AI service from AWS, recently shared the company's view on the industry, use cases, technology, and how Amazon is serving its customers. Thoughout the hour-long interview, Deo talked about his experience with machine learning in customer contact center applications, transcription services, natural language processing, and generative AI. He expands on the compay's generative AI strategy as well as the technology architectures it supports. Prior to his role overseeing the Bedrock service, Deo worked on AWS products such as Connect, Transcribe, and CodeWhisperer. He also held roles in corporate development at Amazon and Yahoo! and began his career as a software developer.
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 14/10 a 20/10.
Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 14/10 a 20/10.
Parmis les 80 nouveautés des deux dernières semaines, j'ai retenu pour vous 9 annonces, dont 5 qui concernent EC2 dont je parlerai en fin d'épisode. Le reste concerne Lambda et IPv6, Redshift et VSCode, Managed Service for Kafka, et CodeWhisperer que vous pouvez maintenant customiser avec votre base de code privée.
Parmis les 80 nouveautés des deux dernières semaines, j'ai retenu pour vous 9 annonces, dont 5 qui concernent EC2 dont je parlerai en fin d'épisode. Le reste concerne Lambda et IPv6, Redshift et VSCode, Managed Service for Kafka, et CodeWhisperer que vous pouvez maintenant customiser avec votre base de code privée.
Valerie Singer, GM of Global Education at AWS, joins Corey on Screaming in the Cloud to discuss the vast array of cloud computing education programs AWS offers to people of all skill levels and backgrounds. Valerie explains how she manages such a large undertaking, and also sheds light on what AWS is doing to ensure their programs are truly valuable both to learners and to the broader market. Corey and Valerie discuss how generative AI is applicable to education, and Valerie explains how AWS's education programs fit into a K-12 curriculum as well as job seekers looking to up-skill. About ValerieAs General Manager for AWS's Global Education team, Valerie is responsible forleading strategy and initiatives for higher education, K-12, EdTechs, and outcome-based education worldwide. Her Skills to Jobs team enables governments, educationsystems, and collaborating organizations to deliver skills-based pathways to meetthe acute needs of employers around the globe, match skilled job seekers to goodpaying jobs, and advance the adoption of cloud-based technology.In her ten-year tenure at AWS, Valerie has held numerous leadership positions,including driving strategic customer engagement within AWS's Worldwide PublicSector and Industries. Valerie established and led the AWS's public sector globalpartner team, AWS's North American commercial partner team, was the leader forteams managing AWS's largest worldwide partnerships, and incubated AWS'sAerospace & Satellite Business Group. Valerie established AWS's national systemsintegrator program and promoted partner competency development and practiceexpansion to migrate enterprise-class, large-scale workloads to AWS.Valerie currently serves on the board of AFCEA DC where, as the Vice President ofEducation, she oversees a yearly grant of $250,000 in annual STEM scholarships tohigh school students with acute financial need.Prior to joining AWS, Valerie held senior positions at Quest Software, AdobeSystems, Oracle Corporation, BEA Systems, and Cisco Systems. She holds a B.S. inMicrobiology from the University of Maryland and a Master in Public Administrationfrom the George Washington University.Links Referenced: AWS: https://aws.amazon.com/ GetIT: https://aws.amazon.com/education/aws-getit/ Spark: https://aws.amazon.com/education/aws-spark/ Future Engineers: https://www.amazonfutureengineer.com/ code.org: https://code.org Academy: https://aws.amazon.com/training/awsacademy/ Educate: https://aws.amazon.com/education/awseducate/ Skill Builder: https://skillbuilder.aws/ Labs: https://aws.amazon.com/training/digital/aws-builder-labs/ re/Start: https://aws.amazon.com/training/restart/ AWS training and certification programs: https://www.aws.training/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. A recurring theme of this show in the, what is it, 500 some-odd episodes since we started doing this many years ago, has been around where does the next generation come from. And ‘next generation' doesn't always mean young folks graduating school or whatnot. It's people transitioning in, it's career changers, it's folks whose existing jobs evolve into embracing the cloud industry a lot more readily than they have in previous years. My guest today arguably knows that better than most. Valerie Singer is the GM of Global Education at AWS. Valerie, thank you for agreeing to suffer my slings and arrows. I appreciate it.Valerie: And thank you for having me, Corey. I'm looking forward to the conversation.Corey: So, let's begin. GM, General Manager is generally a term of art which means you are, to my understanding, the buck-stops-here person for a particular division within AWS. And Global Education sounds like one of those, quite frankly, impossibly large-scoped type of organizations. What do you folks do? Where do you start? Where do you stop?Valerie: So, my organization actually focuses on five key areas, and it really does take a look at the global strategy for Amazon Web Services in higher education, research, our K through 12 community, our community of ed-tech providers, which are software providers that are specifically focused on the education sector, and the last plinth of the Global Education Team is around skills to jobs. And we care about that a lot because as we're talking to education providers about how they can innovate in the cloud, we also want to make sure that they're thinking about the outcomes of their students, and as their students become more digitally skilled, that there is placement for them and opportunities for them with employers so that they can continue to grow in their careers.Corey: Early on, when I was starting out my career, I had an absolutely massive chip on my shoulder when it came to formal education. I was never a great student for many of the same reasons I was never a great employee. And I always found that learning for me took the form of doing something and kicking the tires on it, and I had to care. And doing rote assignments in a ritualized way never really worked out. So, I never fit in in academia. On paper, I still have an eighth-grade education. One of these days, I might get the GED.But I really had problems with degree requirements in jobs. And it's humorous because my first tech job that was a breakthrough was as a network administrator at Chapman University. And that honestly didn't necessarily help improve my opinion of academia for a while, when you're basically the final tier escalation for support desk for a bunch of PhDs who are troubled with some of the things that they're working on because they're very smart in one particular area, but have challenges with broad tech. So, all of which is to say that I've had problems with the way that education historically maps to me personally, and it took a little bit of growth for me to realize that I might not be the common, typical case that represents everyone. So, I've really come around on that. What is the current state of how AWS views educating folks? You talk about working with higher ed; you also talk about K through 12. Where does this, I guess, pipeline start for you folks?Valerie: So, Amazon Web Services offers a host of education programs at the K-12 level where we can start to capture learners and capture their imagination for digital skills and cloud-based learning early on, programs like GetIT and Spark make sure that our learners have a trajectory forward and continue to stay engaged.Amazon Future Engineers also provides experiential learning and data center-based experiences for K through 12 learners, too, so that we can start to gravitate these learners towards skills that they can use later in life and that they'll be able to leverage. That said—and going back to what you said—we want to capture learners where they learn and how they learn. And so, that often happens not in a K through 12 environment and not in a higher education environment. It can happen organically, it can happen through online learning, it can happen through mentoring, and through other types of sponsorship.And so, we want to make sure that our learners have the opportunities to micro-badge, to credential, and to experience learning in the cloud particularly, and also develop digital skills wherever and however they learn, not just in a prescriptive environment like a higher education environment.Corey: During the Great Recession, I found that as a systems administrator—which is what we called ourselves in the style of the time—I was relatively weak when it came to networking. So, I took a class at the local community college where they built the entire curriculum around getting some Cisco certifications by the time that the year ended. And half of that class was awesome. It was effectively networking fundamentals in an approachable, constructive way, and that was great. The other half of the class—at least at the time—felt like it was extraordinarily beholden to, effectively—there's no nice way to say this—Cisco marketing.It envisioned a world where all networking equipment was Cisco-driven, using proprietary Cisco protocols, and it left a bad smell for a number of students in the class. Now, I've talked to an awful lot of folks who have gone through the various AWS educational programs in a variety of different ways and I've yet to hear significant volume of complaint around, “Oh, it's all vendor captured and it just feels like we're being indoctrinated into the cult of AWS.” Which honestly is to your credit. How did you avoid that?Valerie: It's a great question, and how we avoid it is by starting with the skills that are needed for jobs. And so, we actually went back to employers and said, “What are your, you know, biggest and most urgent needs to fill in early-career talent?” And we categorized 12 different job categories, the four that were most predominant were cloud support engineer, software development engineer, cyber analyst, and data analyst. And we took that mapping and developed the skills behind those four different job categories that we know are saleable and that our learners can get employed in, and then made modifications as our employers took a look at what the skills maps needed to be. We then took the skills maps—in one case—into City University of New York and into their computer science department, and mapped those skills back to the curriculum that the computer science teams have been providing to students.And so, what you have is, your half-awesome becomes full-awesome because we're providing them the materials through AWS Academy to be able to proffer the right set of curriculum and right set of training that gets provided to the students, and provides them with the opportunity to then become AWS Certified. But we do it in a way that isn't all marketecture; it's really pragmatic. It's how do I automate a sequence? How do I do things that are really saleable and marketable and really point towards the skills that our employers need? And so, when you have this book-end of employers telling the educational teams what they need in terms of skills, and you have the education teams willing to pull in that curriculum that we provide—that is, by the way, current and it maintains its currency—we have a better throughway for early-career talent to find the jobs that they need, and the guarantee that the employers are getting the skills that they've asked for. And so, you're not getting that half of the beholden that you had in your experience; you're getting a full-on awesome experience for a learner who can then go and excite himself and herself or theirself into a new position and career opportunity.Corey: One thing that caught me a little bit by surprise, and I think this is an industry-wide phenomenon is, whenever folks who are working with educational programs—as you are—talk about, effectively, public education and the grade school system, you refer to it as ‘K through 12.' Well, last year, my eldest daughter started kindergarten and it turns out that when you start asking questions about cloud computing curricula to a kindergarten teacher, they look at you like you are deranged and possibly unsafe. And yeah, it turns out that for almost any reasonable measure, exposing—in my case—a now six-year-old to cloud computing concepts feels like it's close cousins to child abuse. So—Valerie: [laugh].Corey: So far, I'm mostly keeping the kids away from that for now. When does that start? You mentioned middle school a few minutes ago. I'm curious as to—is that the real entry point or are there other ways that you find people starting to engage at earlier and earlier ages?Valerie: We are seeing people engage it earlier and earlier ages with programs like Spark, as I mentioned, which is more of a gamified approach to K through 12 learning around digital skills in the cloud. code.org also has a tremendous body of work that they offer K through 12 learners. That's more modularized and building block-based so that you're not asking a six-year-old to master the art of cloud computing, but you're providing young learners with the foundations to understand how the building blocks of technology sit on top of each other to actually do something meaningful.And so, gears and pulleys and all kinds of different artifacts that learners can play with to understand how the inner workings of a computer program come together, for instance, are really experientially important and foundationally important so that they understand the concepts on which that's built later. So, we can introduce these concepts very early, Corey, and kids really enjoy playing with those models because they can make things happen, right? They can make things turn and they can make things—they can actually, you know, modify behaviors of different programming elements and really have a great experience working in those different programs and environments like code.org and Spark.Corey: There are, of course, always exceptions to this. I remember the, I think, it's the 2019 public sector summit that you folks put on, you had a speaker, Karthick Arun, who at the time was ten years old and have the youngest person to pass the certification test to become a cloud practitioner. I mean, power to him. Obviously, that is the sort of thing that happens when a kid has passion and is excited about a particular direction. I have not inflicted that on my kids.I'm not trying to basically raise whatever the cloud computing sad version is of an Olympian by getting them into whatever it is that I want them to focus on before they have any agency in the matter. But I definitely remember when I was a kid, I was always frustrated by the fact that it felt like there were guardrails keeping me from working with any of these things that I found interesting and wanted to get exposure to. It feels like in many ways the barriers are coming down.Valerie: They are. In that particular example, actually, Andy Jassy interceded because we did have age requirements at that time for taking the exam.Corey: You still do, by the way. It's even to attend summits and whatnot. So, you have to be 18, but at some point, I will be looking into what exceptions have to happen for that because I'm not there to basically sign them up for the bar crawl or have them get exposure to, like, all the marketing stuff, but if they're interested in this, it seems like the sort of thing that should be made more accessible.Valerie: We do bring learners on, you know, into re:Invent and into our summits. We definitely invite our learners in. I mean I think you mentioned, there are a lot of other places our learners are not going to go, like bar crawls, but our learners under the age of 18 can definitely take advantage of the programs that we have on offer. AWS Academy is available to 16 and up.And again, you know, GetIT and Spark and Educate is all available to learners as well. We also have programs like Skill Builder, with an enormous free tier of learning modules that teams can take advantage of as well. And then Labs for subscription and fee-based access. But there's over 500 courses in that free tier currently, and so there's plenty of places for our, you know, early learners to play and to experiment and to learn.Corey: This is a great microcosm of some career advice I recently had caused to revisit, which is, make friends in different parts of the organization you work within and get to know people in other companies who do different things because you can't reason with policy; you can have conversations productively with human beings. And I was basing my entire, “You must be 18 or you're not allowed in, full stop,” based solely on a sign that I saw when I was attending a summit at the entrance: “You must be 18 to enter.” Ah. Clearly, there's no wiggle room here, and no—it's across the board, absolute hard-and-fast rule. Very few things are. This is a perfect example of that. So today, I learned. Thank you.Valerie: Yeah. You're very welcome. We want to make sure that we get the information, we get materials, we get experiences out to as many people as possible. One thing I would also note, and I had the opportunity to spend time in our skill centers, and these are really great places, too, for early learners to get experience and exposure to different models. And so earlier, when we were talking, you held up a DeepRacer car, which is a very, very cool, smaller-scale car that learners can use AI tools to help to drive.And learners can go into the skill centers in Seattle and in the DC area, now in Cape Town and in other places where they're going to be opening, and really have that, like, direct-line experience with AWS technology and see the value of it tangibly, and what happens when you for instance, model to move a car faster or in the right direction or not hitting the side of a wall. So, there's lots of ways that early learners can get exposure in just a few ways and those centers are actually a really great way for learners to just walk in and just have an experience.Corey: Switching gears a little bit, one of my personal favorite hobby horses is to go on Twitter—you know, back when that was more of a thing—and mock companies for saying things that I perceived to be patently ridiculous. I was gentle about it because I think it's a noble cause, but one of the more ridiculous things that I've heard from Amazon was in 2020, you folks announced a plan to help 29 million people around the world grow their tech skills by 2025. And the reason that I thought that was ridiculous is because it sounded like it was such an over-the-top, grandiose vision, I didn't see a way that you could possibly get anywhere even close. But again, I was gentle about this because even if you're half-wrong, it means that you're going to be putting significant energy, resourcing, et cetera, into educating people about how this stuff works to help lowering bar to entry, about lowering gates that get kept. I have to ask, though, now that we are, at the time of this recording, coming up in the second half of 2023, how closely are you tracking to that?Valerie: We're tracking. So, as of October, which is the last time I saw the tracking on this data, we had already provided skills-based learning to 13-and-a-half million learners worldwide and are very much on track to exceed the 2025 goal of 29 million. But I got to tell you, like, there's a couple of things in there that I'm sure you're going to ask as a follow-up, so I'll go ahead and talk about it practically, and that is, what are people doing with the learning? And then how are they using that learning and applying it to get jobs? And so, you know, 29 million is a big number, but what does it mean in terms of what they're doing with that information and what they're doing to apply it?So, we do have on my team an employer engagement team that actually goes out and works with local employers around the world, builds virtual job fairs and on-prem job fairs, sponsors things like DeepRacer League and Cloud Quests and Jam days so that early-career learners can come in and get hands-on and employers can look at what the potential employees are doing so that they can make sure that they have the experience that they actually say they have. And so, since the beginning of this year, we have already now recruited 323 what we call talent shapers, which are the employer community who are actually consuming the talent that we are proffering to them and that we're bringing into these job fairs. We have 35,000 learners who have come through our job fairs since the beginning of the year. And then we also rely—as you know, like, we're very security conscious, so we rely on self-reported data, but we have over 3500 employed early-career talent self-reported job hires. And so, for us, the 29 million is important, but how it then portrays itself into AWS-focused employment—that's not just to AWS; these are by the way those 3500 learners who are employed went to other companies outside of AWS—but we want to make sure that the 29 million actually results in something. It's not just, you know, kind of an academic exercise. And so, that's what we're doing on our site to make sure that employers are actually engaged in this process as well.Corey: I want to bring up a topic that has been top-of-mind in relation to this, where there has been an awful lot of hue and cry about generative AI lately, and to the point where I'm a believer in this. I think it is awesome, I think it is fantastic. And even for me, the hype is getting to be a little over the top. When everyone's talking about it transforming every business and that entire industries seem to be pivoting hard to rebrand themselves with the generative AI brush, it is of some concern. But I'm still excited by the magic inherent to aspects of what this is.It is, on some level—at least the way I see it—a way of solving the cloud education problem that I see, which is that, today if I want to start a company and maybe I just got out of business school, maybe I dropped out of high school, doesn't really matter. If it involves software, as most businesses seem to these days, I would have to do a whole lot of groundwork first. I have to go and take a boot camp class somewhere for six months and learn just enough code to build something horrible enough to get funding so that then I can hire actual professional engineers who will make fun of what I've written behind my back and then tear it all out and replace it. On some level, it really feels like the way to teach people cloud skills is to lower the bar for those cloud skills themselves, to help reduce the you must be at least this smart to ride this amusement park ride style of metering stick.And generative AI seems like it has strong potential for doing some of these things. I've used it that way myself, if we can get past some of the hallucination problems where it's very confident and also wrong—just like, you know, many of the white engineers I've worked with who are of course, men, in the course of my career—it will be even better. But I feel like this is the interface to an awful lot of cloud, if it's done right. How are you folks thinking about generative AI in the context of education, given the that field seems to be changing every day?Valerie: It's an interesting question and I see a lot of forward movement and positive movement in education. I'll give you an example. One company in the Bay Area, Khan Academy is using Khanmigo, which is one of their ChatGPT and generative AI-based products to be able to tutor students in a way that's directive without giving them the answers. And so, you know, when you look at the Bloom's sigma problem, which is if you have an intervention with a student who's kind of on the fence, you can move them one standard deviation to the right by giving them, sort of, community support. You can move them two standard deviations to the right if you give them one-to-one mentoring.And so, the idea is that these interventions through generative AI are actually moving that Bloom's sigma model for students to the right, right? So, you're getting students who might fall through the cracks not falling through the cracks anymore. Groups like Houston Community College are using generative AI to make sure that they are tracking their students in a way that they're going into the classes that they need to go into and they're using the prerequisites so that they can then benefit themselves through the community college system and have the most efficient path towards graduation. There's other models that we're using generative AI for to be able to do better data analysis in educational institutions, not just for outcomes, but also for, you know, funding mechanisms and for ways in which educational institutions [even operationalized 00:21:21]. And so, I think there's a huge power in generative AI that is being used at all levels within education.Now, there's a couple of other things, too, that I think that you touched on, and one is how do we train on generative AI, right? It goes so fast. And how are we doing? So, I'll tell you one thing that I think is super interesting, and that's that generative AI does hold the promise of actually offering us greater diversity, equity, and inclusion of the people who are studying generative AI. And what we're seeing early on is that the distribution in the mix of men and women is far better for studying of generative AI and AI-based learning modules for that particular outcome than we have seen in computer science in the past.And so, that's super encouraging, that we're going to have more people from more diverse backgrounds participating with skills for generative AI. And what that will also mean, of course, is that models will likely be less biased, we'll be able to have better fidelity in generative AI models, and more applicability in different areas when we have more diverse learners with that experience. So, the second piece is, what is AWS doing to make sure that these modules are being integrated into curriculum? And that's something that our training and certification team is launching as we speak, both through our AWS Academy modules, but also through Skill Builder so those can be accessed by people today. So, I'm with you. I think there's more promise than hue and cry and this is going to be a super interesting way that our early-career learners are going to be able to interact with new learning models and new ways of just thinking about how to apply it.Corey: My excitement is almost entirely on the user side of this as opposed to the machine-learning side of it. It feels like an implementation detail from the things that I care about. I asked the magic robot in a box how to do a thing and it tells me, or ideally does it for me. One of the moments in which I felt the dumbest in recent memory has been when I first started down the DeepRacer, “Oh, you just got one. Now, here's how to do it. Step one, open up this console. Good. Nice job. Step two”—and it was, basically get a PhD in machine learning concepts from Berkeley and then come back. Which is a slight exaggeration, but not by much.It feels it is, on some level—it's a daunting field, where there's an awful lot of terms of art being bandied around, there's a lot that needs to be explained in particular ways, and it's very different—at least from my perspective—on virtually any other cloud service offering. And that might very well be a result of my own background. But using the magic thing, like, CodeWhisperer that suggests code that I want to complete is great. Build something like CodeWhisperer, I'm tapping out by the end of that sentence.Valerie: Yeah. I mean, the question in there is, you know, how do we make sure that our learners know how to leverage CodeWhisperer, how to leverage Bedrock, how to leverage SageMaker, and how to leverage Greengrass, right, to build models that I think are going to be really experientially sound but also super innovative? And so, us getting that learning into education early and making sure that learners who are being educated, whether they are currently in jobs and are being re-skilled or they're coming up through traditional or non-traditional educational institutions, have access to all of these services that can help them do innovative things is something that we're really committed to doing. And we've been doing it for a long time. I may think you know that, right?So, Greengrass and SageMaker and all of the AI and ML tools have been around for a long period of time. Bedrock, CodeWhisperer, other services that AWS will continue to launch to support generative AI models, of course, are going to be completely available not just to users, but also for learners who want to re-skill, up-skill, and to skill on generative AI models.Corey: One last area I want to get into is a criticism, or at least an observation I've been making for a while about Kubernetes, but it could easily be extended to cloud in general, which is that, at least today, as things stand—this is starting to change, finally—running Kubernetes in production is challenging and fraught and requires a variety of skills and a fair bit of experience having done this previously. Before the last year or so of weird market behavior, if you had Kubernetes in production experience, you could relatively easily command a couple $100,000 a year in terms of salary. Now, as companies are embracing modern technologies and the rest, I'm wondering how they're approaching the problem of up-leveling their existing staff from two sides. The first is that no matter how much training and how much you wind up giving a lot of those folks, some of them either will not be capable or will not have the desire to learn the new thing. And secondly, once you get those people there, how do you keep them from effectively going down the street with that brand new shiny skill set for, effectively, three times what they were making previously, now that they have those skills that are in wild demand across the board?Because that's simply not sustainable for a huge swath of companies out there for whom they're not technology companies, they just use technology to do the thing that their business does. It feels like everything is becoming very expensive in a personnel perspective if you're not careful. You obviously talk to governments who are famously not known for paying absolute top-of-market figures for basically any sort of talent—for obvious reasons—but also companies for whom the bottom line matters incredibly. How do you square that circle?Valerie: There's a lot in that circle, so I'll talk about a specific, and then I'll talk about what we're also doing to help learners get that experience. So, you talked specifically about Kubernetes, but that could be extracted, as you said, to a lot of other different areas, including cyber, right? So, when we talk about somebody with an expertise in cybersecurity, it's very unlikely that a new learner coming out of university is going to be as appealing to an employer than somebody who has two to three years of experience. And so, how do we close that gap of experience—in either of those two examples—to make sure that learners have an on-ramp to new positions and new career opportunities? So, the first answer I'll give you is with some of our largest systems integrators, one of which is Tata Consulting Services, who is actually using AWS education programs to upskill its employees internally and has upskilled 19,000 of its employees using education programs including AWS Educate, to make sure that their group of consultants has absolutely the latest set of skills.And so, we're seeing that across the board; most of our, if not all of our customers, are looking at training to make sure that they can train not only their internal tech teams and their early-career talent coming in, but they can also train back office to understand what the next generation of technology is going to mean. And so, for instance, one of our largest customers, a telco provider, has asked us to provide modules for their HR teams because without understanding what AI and ML is, what it does, and what how to look for it, they might not be able to then, you know, extract the right sets of talent that they need to bring into the organization. So, we're seeing this training requirement across the business and not just in technical requirements. But you know, bridging that gap with early-career learners, I think is really important too. And so, we are experimenting, especially at places like Miami Dade College and City University of New York with virtual internships so that we can provide early-career learners with experiential learning that then they can bring to employers as proof that they have actually done the thing that they've said that they can demonstrate that they can do.And so, companies like Parker Dewey and Riipen and Forage and virtual internships are offering those experiences online so that our learners have the opportunity to then prove what they say that they can do. So, there's lots of ways that we can go about making sure learners have that broad base of learning and that they can apply it. And I'll tell you one more thing, and that's retention. And we find that when learners approach their employer with an internship or an apprenticeship, that their stickiness with that employer because they understand the culture, they understand the project work, they've been mentored, they've been sponsored, that they're stickiness within those employers it's actually far greater than if they came and went. And so, it's important and incumbent on employers, I think, to build that strong connective tissue with their early-skilled learners—and their upskilled learners—to make sure that the skills don't leave the house, right? And that is all about making sure that the culture aligns with the skills aligns, with the project work, and that it continues to be interesting, whether you're a new learner or you're a re-skilled learner, to stay in-house.Corey: My last question for you—and I understand that this might be fairly loaded—but I can't even come up with a partial list that does it any justice to encapsulate the sheer number of educational programs that you have in flight for a variety of different folks. The details and nuances of these are not something that I store in RAM, so I find that it's very easy to talk about one of these things and wind up bleeding into another. How do you folks keep it all straight? And how should people think about it? Not to say that you are not people. How should people who do not work for AWS? There we go. We are all humans here. Please, go [laugh] ahead.Valerie: It's a good question. So, the way that I break it down—and by the way, you know, AWS is also part of Amazon, so you know, I understand the question. And we have a lot of offerings across Amazon and AWS. AWS education programs specifically, are five. And those five programs, I've mentioned a few today: AWS Academy, AWS Educate, AWS re/Start, GetIT, and Spark are free, no-fee programs that we offer both the community and our education providers to build curriculum to offer digitally, and cloud-based skills curriculum to learners.We have another product that I'm a huge fan of called Skill Builder. And Skill Builder is, as I mentioned before, an online educational platform that anybody can take advantage of the over 500 classes in the free tier. There's learning plans for a lot of different things, and some I think you'd be interested in, like cost optimization and, you know, financial modeling for cloud, and all kinds of other more technically-oriented free courses. And then if learners want to get more experience in a lab environment, or more detailed learning that would lead to, for instance a, you know, certification in solutions architecture, they can use the subscription model, which is very affordable and provides learners an opportunity to work within that platform. So, if I'm breaking it down, it really is, am I being educated and in a way that is more formalized or am I going to go and take these courses when I want them and when I need them, both in the free tier and the subscription tier.So, that's basically the differences between education programs and Skill Builder. But I would say that if people are working with AWS teams, they can also ask teams where is the best place to be able to avail themselves of education curriculum. And we're all passionate about this topic and all of us can point users in the right direction as well.Corey: I really want to thank you for taking the time to go through all the things that you folks are up to these days. If people want to learn more, where should they go?Valerie: So, the first destination, if they want cloud-based learning, is really to take a look at AWS training and certification programs, and so, easily to find on aws.com. I would also point our teams—if they're interested in the tech alliances and how we're formulating the tech alliances—towards a recent announcement between City University of New York, the New York Jobs CEO Council, and the New York Mayor's Office for more details about how we can help teams in the US and outside the US—we also have tech alliances underway in Egypt and Spain and other countries coming on board as well—to really, you know, earmark how government and educational institutions and employers can work together.And then lastly, if employers are listening to this, the one output to all of this is that you pointed out, and that's that our learners need hands-on learning and they need the on-ramp to internships, to apprenticeships, and jobs that really are promotional for, like, career talent. And so, it's incumbent, I think, on all of us to start looking at the next generation of learners, whether they come out of traditional or non-traditional means, and recognize that talent can live in a lot of different places. And we're very happy to help and happy to do that matchup. But I encourage employers to dig deeper there too.Corey: And we will, of course, put links to that in the show notes. Thank you so much for taking the time out of your day to speak with me about all this. I really appreciate it.Valerie: Thank you, Corey. It's always fun to talk to you.Corey: [laugh]. Valerie Singer, GM of Global Education at AWS. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with a comment telling me exactly which AWS service I should make my six-year-old learn about as my next step in punishing her.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.
Karol Horosin, Software Engineering Manager, bloger oraz founder w sentimatic.io mówi m.in. o wyzwaniach, jakie czekają programistów w związku z rozwojem sztucznej inteligencji, wykorzystaniu narzędzi w konkretnych przypadkach oraz możliwych zmianach na rynku pracy. Poruszamy też temat trendów w AI i przyszłości programistów (w tym juniorów). Pełen opis odcinka, polecane materiały i linki oraz transkrypcję znajdziesz na: https://devmentor.pl/b/narzedzia-ai-w-pracy-programisty-chatgpt-github-copilot-midjourney-i-inne-czesc-2 || devmentor.pl/rozmowa ⬅ Chcesz przebranżowić się do IT i poznać rozwiązania, które innym pozwoliły skutecznie znaleźć pracę? Jestem doświadczonym developerem oraz mentorem programowania – chętnie odpowiem na Twoje pytania o naukę programowania oraz świat IT. Umów się na bezpłatną, niezobowiązującą rozmowę! ~ Mateusz Bogolubow, twórca podcastu Pierwsze kroki w IT || devmentor.pl/podcast ⬅ Oficjalna strona podcastu
Karol Horosin, Software Engineering Manager, bloger oraz founder w sentimatic.io, mówi o wykorzystaniu narzędzi sztucznej inteligencji, np. ChatGPT czy GitHub Copilota, w pracy programisty – nie tylko w kodowaniu, lecz również w tworzeniu dokumentacji czy testów. Poruszamy też temat generowania grafik przez sztuczną inteligencję. Pełen opis odcinka, polecane materiały i linki oraz transkrypcję znajdziesz na: https://devmentor.pl/b/narzedzia-ai-w-pracy-programisty-chatgpt-github-copilot-midjourney-i-inne-czesc-1 || devmentor.pl/rozmowa ⬅ Chcesz przebranżowić się do IT i poznać rozwiązania, które innym pozwoliły skutecznie znaleźć pracę? Jestem doświadczonym developerem oraz mentorem programowania – chętnie odpowiem na Twoje pytania o naukę programowania oraz świat IT. Umów się na bezpłatną, niezobowiązującą rozmowę! ~ Mateusz Bogolubow, twórca podcastu Pierwsze kroki w IT || devmentor.pl/podcast ⬅ Oficjalna strona podcastu
On Track - Trending Topics in Business and Law - by Haynes and Boone, LLP
Welcome to a new episode of AI Chats. A podcast series produced by the law firm of Haynes and Boone and lawyers from its AI and Deep Learning Practice group to explore the exciting, ever-evolving, and occasionally controversial world of Artificial Intelligence. Today, for our latest episode, we are going to talk about GenAI wars. Over the past year, AI tools have been released to the public in waves, demonstrating AI's impressive, and often amusing, abilities. OpenAI released ChatGPT chatbot and DALL-E image generation engine. A few months later Google released its ChatGPT competitor called “Bard.” Amazon released an AI tool called Codewhisperer designed for developers to generate source code. Many other companies are now jumping on the GenAI bandwagon and trying to gain portions of the AI market.Moderator: Eugene Goryunov, Partner at Haynes Boone.Featured Speakers: Dina Blikshteyn, Partner at Haynes Boone. Brett Bostrom, Associate at Haynes Boone.
J'ai compté 80 nouveautés ces deux dernières semaines (-2 WoW). Il y a des nouveautés côté Aurora, aussi une nouvelle famille d'instances EC2. On parlera d'accès privés à la console et de TimeStream. Je passerai un peu de temps sur Cedar, un nouveau language pour exprimer des règles de contrôle d'accès. Et je terminerai par CodeWhisperer, ce nouveau service qui améliore la productivité des développeurs et avec DeviceFarm pour tester vos applications sur des vrais appareils. On détaille tout cela dans le podcast
J'ai compté 80 nouveautés ces deux dernières semaines (-2 WoW). Il y a des nouveautés côté Aurora, aussi une nouvelle famille d'instances EC2. On parlera d'accès privés à la console et de TimeStream. Je passerai un peu de temps sur Cedar, un nouveau language pour exprimer des règles de contrôle d'accès. Et je terminerai par CodeWhisperer, ce nouveau service qui améliore la productivité des développeurs et avec DeviceFarm pour tester vos applications sur des vrais appareils. On détaille tout cela dans le podcast
En este episodio hablamos con Nahia Orduña, Senior Manager para arquitectos de soluciones de AWS, sobre CodeWhisperer y como la inteligencia artificial va a afectar el trabajo en la tecnologia en el futuro. Este es el episodio 8 de la cuarta temporada del podcast de Charlas Técnicas de AWS.02:31 Intro Nahia Orduña02:56 ¿Qué es la Inteligencia Artificial Generativa?05:26 AWS CodeWhisperer, el asistente de los desarrolladores09:54 Usando CodeWhisperer para TDD (Test-driven development)12:27 Tener un asistente que detecte vulnerabilidades.15:08 CodeWhisperer y la Privacidad18:17 ¿Te tienes que fiar de todo lo que te diga?19:50 ¿Nos quedaremos sin trabajo?23:03 La IA como herramienta de productividad29:28 ¿Por dónde empiezo con todo esto de la IA generativa?35:17 ¿A qué trabajos puedo optar?36:14 Los sesgos en la IA41:16 ¿Hasta dónde llega la ética en la IA?48:29 ¿Es la IA la siguiente revolución industrial?53:00 ¿Cuáles son los siguientes pasos?55:32 Recomendaciones de nuestra invitada
Developer tool integration and AI differentiate workflows to achieve that "fluid" state developers strive for in their work.Amazon CodeCatalyst and Amazon CodeWhisperer exemplify how developer workflows are accelerating and helping to create these fluid states. That's a big part of the story we hear from Harry Mower, director AWS DevOps Services, and Doug Seven, director, Software Development, AWS CodeWhisperer, from our recording in Seattle earlier in April for this week's AWS Developer Innovation Day.CodeCatalyst serves as an end-to-end integrated DevOps toolchain that provides developers with everything they need to go from planning through to deployment, Mower said. CodeWhisperer is an AI coding companion that generates whole-line and full-line function code recommendations in an integrated development environment (IDE).CodeWhisperer is part of the IDE, Seven said. The acceleration is two-fold. CodeCatalyst speeds the end-to-end integration process, and CodeWhisper accelerates writing code through generative AI.
Amazon CodeWhisperer enables software developers to get real-time code recommendations in their IDE based on their (English) comments describing the task at hand, and their current coding context. With CodeWhisperer, developers can simply write a natural language comment that outlines a specific task such as “get new files uploaded in the last 24 hours from the S3 bucket” and CodeWhisperer automatically determines which cloud services and public libraries are best suited for the specified task and generates the code for the developer. CodeWhisperer is especially well suited to helping developers generate code that simplifies consumption of AWS services (e.g., Amazon EC2 or Amazon S3), making it the best coding assistant for if you are developing for AWS. Amazon CodeWhisperer https://go.aws/41K0Wwl
Our 118th episode with a summary and discussion of last week's big AI news! Read out our text newsletter at https://lastweekin.ai/ Check out Jeremie's new book Quantum Physics Made Me Do It Quantum Physics Made Me Do It tells the story of human self-understanding through the lens of physics. It explores what we can and can't know about reality, and how tiny tweaks to quantum theory can reshape our entire picture of the universe. And because I couldn't resist, it explains what that story means for AI and the future of sentience You can find it on Amazon in the UK, Canada, and the US — here are the links: UK version | Canadian version | US version Outline: Applications & Business(04:15) Stability AI announces new open-source large language model + OpenAssistant RELEASED! The world's best open-source Chat AI! (15:00) Stability AI is on shaky ground as it burns through cash and looks at a management overhaul Lighting Round(23:12) Elon Musk Creates New Artificial Intelligence Company X.AI (28:40) Google's big AI push will combine Brain and DeepMind into one team (30:36) Amazon AWS expands generative AI efforts with Bedrock and CodeWhisperer updates (34:00) Samsung wants to release EX1, a human assistant robot, this year Research & Advancements(36:32) The LLama Effect: How an Accidental Leak Sparked a Series of Impressive Open Source Alternatives to ChatGPT (44:00) Auto-GPT and BabyAGI: How ‘autonomous agents' are bringing generative AI to the masses Lighting Round(52:15) Researchers used machine learning to improve the first photo of a black hole (53:42) Tennis Robot Could Pave Way for Advancement in Fast-Movement Robotics (55:16) OpenAI Surprises Open-Source Community, Unveils Consistency Models (58:28) Model that uses machine learning methods and patient data at hospital arrival predicts strokes more accurately than current system Policy & Safety & Societal Impacts (01:00:50) Finally, a realistic roadmap for getting AI companies in check (01:07:00) China proposes measures to manage generative AI services Lighting Round(01:13:00) A.I. could lead to a ‘nuclear-level catastrophe' according to a third of researchers, a new Stanford report finds (01:16:00) Inside the AI talent wars: Tech companies are ransacking university AI programs at Stanford, MIT, and Cornell in search of rare talent (01:20:00) Photographer admits prize-winning image was AI-generated Art & Fun Stuff(01:23:13) Exploring Creativity in Large Language Models: From GPT-2 to GPT-4 (01:27:32) AI-generated Drake and The Weeknd song goes viral (01:30:30) Adobe launches AI-powered text-based video editing (01:33:47) Meta has open-sourced an AI project that turns your doodles into animations (01:35:15) Outro
In Episode 10 of This Day in AI Podcast we discuss Amazon's Bedrock and Titan release, what it means and cover the general availability of CodeWhisperer. We discuss the Generative Agents paper and simulation for predicting human behavior. Chris gives an update on his GamblingGPT and we cover the implications of deep fakes.====CHAPTERS:00:00 - Joe Rogan Deep Fake Cold Open00:17 - Amazon Bedrock, Amazon Titan LLM and CodeWhisperer News16:42 - Open Source Dolly LLM from Databricks19:31 - Costs of training models, latency and reliability of models23:57 - What does this mean for OpenAI? 30:02 - AutoGPT, AgentGPT Example and AI Agents34:51 - Generative Agents Paper: AI Simulations to Predict?45:45 - Chris's GambleGPT Update: Can GPT-4 Vision Help?51:47 - The future of AI Deep Fakes: Joe Rogan AI Podcast, Fake Kidnapping1:01:24 - Reddit r/relationship_advice since ChatGPT. AI Agent Finding Dates.1:03:39 - Germany Considers Banning ChatGPT====SUPPORT THE SHOW:If you like this podcast please consider subscribing whereever you listen to your podcasts and leaving a review, it helps others find this podcast and is really appreciated.====SOURCES:- https://aws.amazon.com/blogs/machine-learning/announcing-new-tools-for-building-with-generative-ai-on-aws/- https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm- https://huyenchip.com/2023/04/11/llm-engineering.html- https://github.com/Torantulino/Auto-GPT- https://agentgpt.reworkd.ai/- https://arxiv.org/pdf/2304.03442.pdf- https://www.reddit.com/r/ChatGPT/comments/12c8wlf/posts_per_day_on_rrelationship_advice_before_and/- https://twitter.com/JordiRib1/status/1646529971580698625- https://www.youtube.com/watch?v=meu0CoYv3z8- https://nypost.com/2023/04/12/ai-clones-teen-girls-voice-in-1m-kidnapping-scam/Thanks for listening.
ChatGPT & company are here to stay. And so are linguists. Find out why in our exploration of the capabilities and shortcomings of generative AI and how it will affect the competences of lecturers, students and practitioners in business communication and beyond. Via tricks and tips on how to integrate these powerful text production tools in and outside the classroom, W&A once again underscores the crucial importance of language awareness and the human touch in the digital era. The discussion will take us past proper prompt engineering, output analysis, digital sweatshops and critical citizenship. You can find more information, references and a full transcript on wordsandactions.blog. In this episode we mention a number of language-related AI applications, including DALL-E, which generates images from language prompts; Scite, which identifies references supporting or questioning research findings; ELSA, which stands for English Language Speech assistant and is meant to help language learners; Wordtune, which can rewrite texts i different “tones”; and the codings apps Copilot and CodeWhisperer, which convert language inputs into code. Some examples of how the AI-powered version of the Bing search engine produces answers that are troubling or face-threatening are mentioned in this article. Our interview guest, Andreas van Cranenburgh, refers to how OpenAI, the company behind ChatGPT, uses low-paid content moderators in developing countries, often exposing them to traumatic content. This practice was described in Time Magazine. Following the interview, we talk about how the notion of communicative competence needs to be extended for interactions with chatbots. Hymes' original formulation of communicative competence dates from six years after the first ever chatbot, Eliza, was developed. (It is not known if he was aware of it.) The creator of that application, Joseph Weizenbaum, named it after Eliza Doolittle, the character in Bernard Shaw's play Pygmalion (later made into the musical and film My Fair Lady). In that modern take on the Greek myths of the sculptor Pygmalion, who falls in love with one of his statues, a linguistics professor teaches a working-class woman how to sound upper-class. Are chatbots the malleable female creations of male developers? And why does Erika, a female user, think of ChatGPT as a man? As they say, there is a paper in that. And finally, here is the ChatGPT-generated text we analyse in the last part of the episode: Dear [Customer Name], Thank you for reaching out to us. We understand that high energy prices can be frustrating and we want to help. We're sorry for any inconvenience this may have caused you. Our company's energy prices are affected by a number of factors, including changes in the global energy market and increasing demand for energy. However, we are committed to finding ways to help our customers manage their energy costs. We recommend some simple steps to conserve energy, such as turning off lights when they're not in use, adjusting your thermostat, and using energy-efficient appliances. Additionally, we offer a number of energy-saving programs that could help you save money on your energy bills. We value your feedback and appreciate your loyalty. If you have any further concerns or questions, please do not hesitate to contact us. Best regards, [Your name] Our next episode will conclude the mini-series in CSR - see you then!
O CodeWhisperer é a ferramenta de assistência de codificação da AWS feita para competir com o Git Copilot. Com ela você ganha produtividade, melhora a segurança do seu código, agiliza a implementação de testes automatizados e cria aplicações mais robustas e estáveis.O CodeWhisperer está em Beta test e você pode baixar e usar sem custo algum com as linguagens Python, JavaScript e Java em várias IDE's incluindo o VSCode e JetBrains.ESTUDE INGLÊS NA CAMBLY: https://www.cambly.com/invite/INVENTOR?st=022722&sc=4O curso AWS 2.0 está sendo preparado com muito cuidado e dedicação para atender às principais demandas de mercado para profissionais e empreendedores de tecnologia.Inscreva-se agora para aproveitar todas as vantagens do pré-lançamento:https://www.uminventorqualquer.com.br/curso-aws/Inscreva-se no Canal Wesley Milan para acompanhar os Reviews de serviços AWS:https://bit.ly/3LqiYwgReview do CodeWhisperer: https://youtu.be/YyXL0EHRkDk Me siga no Instagram: https://bit.ly/3tfzAj0LinkedIn: https://www.linkedin.com/in/wesleymilan/Podcast: https://bit.ly/3qa5JH1
Auch in dieser Folge geht es wieder um Künstliche Intelligenz, denn Google hat die besten Apps 2022 vorgestellt und auf Platz eins steht eine Bilder-KI.Es gibt nun keine Warteliste mehr für AWS' CodeWhisperer, der Alternative zu GitHub Copilot. Im Gegensatz zu CoPilot bietet das System von AWS gleich auch eine Referenz zur Codestelle, die für die Codegenerierung genutzt wurde.OpenAI hat ein neues Text-Generator-Modell vorgestellt, das per Chat bedient wird. Unter chat.openai.com könnt ihr die Magie von OpenAIs Künstlicher Intelligenz unkompliziert ausprobieren.Das Konsortium rund um die Entwicklung von JavaScript hat ein paar neue Sprachfeatures definiert, die bald den Weg in die Browser finden werden.Bei Android erhält Rust mehr und mehr Einzug.Schreibt uns! Schickt uns eure Themenwünsche und euer Feedback: podcast@programmier.barFolgt uns! Bleibt auf dem Laufenden über zukünftige Folgen und virtuelle Meetups und beteiligt euch an Community-Diskussionen. TwitterInstagramFacebookMeetupYouTube
In this episode, Emily and Dave chat with Brian Tarbox, Principal Alexa Voice Designer at Epic Strategies. Brian has over thirty years' experience in tech, has been awarded ten patents, written numerous papers, and co-leads the Boston AWS Meetup. He has been using Amazon CodeWhisperer in his current day to day job, shares how more productive it has enabled him to be, walks us through what he's learned, and where developers can get started. Brian on LinkedIn: https://www.linkedin.com/in/briantarbox/ Brian's Website: https://briantarbox.org/ Brian's AWS Community Hero page: https://aws.amazon.com/developer/community/heroes/brian-tarbox/ Amazon CodeWhisperer: https://aws.amazon.com/codewhisperer/ CodeWhisperer for VS Code: https://docs.aws.amazon.com/toolkit-for-vscode/latest/userguide/codewhisperer.html Amazon CodeWhisperer for JetBrains and the AWS Toolkit: https://docs.aws.amazon.com/toolkit-for-jetbrains/latest/userguide/codewhisperer.html Brian's Book Recommendation - Startide Rising by David Brin: https://www.amazon.com/Startide-Rising-Uplift-Saga-Book-ebook/dp/B091XVJ14G Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud
About AdamAdam is an independent cloud consultant that helps startups build products on AWS. He's also the host of AWS FM, a podcast with guests from around the AWS community, and an AWS DevTools Hero.Adam is passionate about open source and has made a handful of contributions to the AWS CDK over the years. In 2020 he created Ness, an open source CLI tool for deploying web sites and apps to AWS.Previously, Adam co-founded StatMuse—a Disney backed startup building technology that answers sports questions—and served as CTO for five years. He lives in Nixa, Missouri, with his wife and two children.Links Referenced: 17 Ways to Run Containers On AWS: https://www.lastweekinaws.com/blog/the-17-ways-to-run-containers-on-aws/ Twitter: https://twitter.com/aeduhm Twitch: https://www.twitch.tv/adamelmore TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Every once in a while, I encounter someone in the wild that… well, I'll just be direct, makes me feel a little bit uneasy, almost like someone's walking over my grave. And I think I've finally figured out elements of what that is. It feels sometimes like I run into people—ideally not while driving—who are trying to occupy sort of the same space in the universe, and I never quite know how to react to that.Today's guest is just one such person. Adam Elmore is an independent AWS consultant, has been all over the Twitters for a while, recently started live streaming basically his every waking moment because he is just that interesting. Adam, thank you for suffering my slings and arrows—Adam: [laugh].Corey: —and agreeing to chat with me today.Adam: I would say first of all, you don't need to be worried about anyone walking over your grave. [laugh]. That was very flattering.Corey: No, honestly, I have big enterprise companies looking to put me in my grave, but that's a separate threat model. We're good on that, for now.Adam: [laugh]. I got to set myself up here to—I'm just going to laugh a lot, and your editor or somebody's going to have to deal with that. And maybe the audience will see—[laugh].Corey: Hey, I prefer that as opposed to talking to people who have absolutely no sense of humor of which they are aware. Awesome, I have a list of companies that they should apply for immediately. So, when I say that we're trying to occupy elements of the same space in the universe, let me talk a little bit about what I mean by that. You are independent as a consultant, which is how I started this whole nonsense, and then I started gathering a company around me almost accidentally. You are an AWS Dev Tools Hero, whereas I am an AWS community villain, which is kind of a polar opposite slash anti-hero approach, and it's self-granted in my case. How did you stumble into the universe of AWS? You just realized one day you were too happy and what can you do to make yourself miserable, and this was the answer, or what?Adam: Yeah, I guess. So. I mean, I've been a software developer for 15 years, like, my whole career, that's kind of what I've done. And at some point, I started a startup called StatMuse. And I was able, as sort of a co-founder there, with venture backing, like, I was able to just kind of play with the cloud.And we deployed everything on AWS, so that was—like, I was there five years; it was sort of five years of running this, I would call it like a Digital Media Studio. Like, we built technology, but we did lots of experiments, so it felt like playing on AWS. Because we built kind of weird one-offs, these digital experiences for various organizations. The Hall of Fame was one of them. We did, like, a, like, a 3-D Talking bust of John Madden, so it was like all kinds of weird technology involved.But that was sort of five years of, I guess, spending venture money [laugh] to play on AWS. And some of that was Google money; I guess I never thought about that, but Google was an investor in StatMuse. [laugh]. Yeah, so we sort of like—I ran that for five years and was able to learn just a lot of AWS stuff that really excited me. I guess, coming from normal web development stuff, it was exciting just how much leverage you have with AWS, so I sort of dove in pretty hard. And then yeah, when I left StatMuse in 2019 I've just been, I guess, going even harder into that direction. I just really enjoy it.Corey: My first real exposure to AWS was at a company where the CTO was a, I guess we'll call him an extraordinarily early cloud evangelist. I was there as a contractor, and he was super excited and would tweet nonsensical things like, “I'm never going to rack a server ever again.” And I was a grumpy sysadmin type; I came from the ops world where anything that is new shouldn't be treated with disdain and suspicion because once you've been a sysadmin for 20 minutes, you've been there long enough to see today's shiny new shit become tomorrow's legacy garbage that you're stuck supporting. So, “Oh, great. What now?”I was very down on Cloud in those days and I encountered it with increasing frequency as I stumbled my way through my career. And at the end of 2016, I wound up deciding to go out independent and fix… well, what problems am I good at fixing that I can articulate in a sentence, and well, I'd gotten surprised by AWS bills from time to time—fortunately with someone else's money; the best kind of mistake to make—and well I know a few things. Let's get really into it. In time, I came to learn that cost and architecture the same thing in cloud, and now I don't know how the hell to describe myself. Other people love to describe me, usually with varying forms of profanity, but here we are. It really turns into the idea of forging something of your own path. And you've absolutely been doing that for at least the last three years as you become someone who's increasingly well known and simultaneously harder to describe.Adam: Yeah, I would say if you figure it out, if you know how to describe me, I would love to know because just coming up with the title—for this episode you needed, like, my title, I don't know what my title is. I'm also—like, we talked about independent, so nobody sort of gives me a title. I would love to just receive one if you think of one, [laugh] if anyone listening thinks of one… it's increasingly hard to, sort of like, even decide what I care most about. I know I need to, like, probably niche down, I feel like you've kind of niched into the billing stuff. I can't just be like, “I'm an AWS guy,” because AWS is so big. But yeah, I have no idea.Corey: Anyone who claims, “Oh, I'm an expert in AWS,” is lying or trying to sell something.Adam: [laugh]. Exactly.Corey: I love that. It's, “Really? I have some questions to establish that for you.” As far as naming what it is, you do, first piece of advice, never ever, ever, ever listen to someone who works at AWS; those people are awful at naming things, as evidenced by basically every service they've ever launched. But you are actually fairly close to being an AWS expert. You did a six-week speed-run through every certification that they offer and that is nothing short of astonishing. How'd it come about?Adam: It's a unique intersection of skills that I think I have. And I'm not very self-aware, I don't know all my strengths and weaknesses and I struggle to sort of nail those down, but I think one of my strengths is just ability to, like, consume information, I guess at a high volume. So, I'm like an auditory learner; I can listen to content really fast and sort of retain enough. And then I think the other skill I have is just I'm good at tests. I've always said that, like, going back to school, like, high school, I always felt like I was really good at multiple-choice tests. I don't know if that's a skill or some kind of innate talent.But I think those two things combined, and then, like, eight years of building on AWS, and that sort of frames how I was able to take all that on. And I don't know that I really set out thinking I will do it in six weeks. I took the first few and then did them pretty fast and thought, “I wonder how quickly I could do all of them.” And I just kind of at that point, it became this sort of goal. I have to take on certain challenges occasionally that just sound fun for no reason other than they sound fun and that was kind of the thing for those six weeks. [laugh].Corey: I have two certifications: Cloud Practitioner and the SysOps Administrator Associate. Those were interesting.Adam: You took the new one, right? The new SysOps with the labs and stuff I'd love to hear about that.Corey: I did, back when it was in beta. That was a really interesting experience and I'll definitely get to that, but I wound up, for example, getting a question wrong in the Cloud Practitioner exam four years ago or so, when it was, “How long does it take to restore an RDS instance from backup?” And I gave the honest answer instead of the by-the-book, correct answer. That's part of the problem is that I've been doing this stuff too long and I know how these things break and what the real world looks like. Certifications are also very much a snapshot at a point in time.Because I write the Last Week in AWS newsletter, I'm generally up-to-the-minute on what has changed, and things that were not possible yesterday, suddenly are possible today, so I need to know when was this certification launched. Oh, it was in early 2021. Yeah, I needed to be a lot more specific; which week? And then people look at me very strangely and here we are.The Systems Administrator Certification was interesting because this is the first one, to my knowledge, where they started doing a live lab as a—Adam: Yeah.Corey: Component of this. And I don't think it's a breach of the NDA to point out that one of the exams was, “Great. Configure CloudWatch out of the box to do this thing that it's supposed to do out of the box.” And I've got to say that making the service do what it's supposed to do with no caveats is probably the sickest shade I've ever seen anyone throw at AWS, like, configuring the service is so bad that it is going to be our test to prove you know what you're doing. That is amazing.Adam: [laugh]. Yeah, I don't have any shade through I'm not as good with the, like, ability to come off, like, witty and kind while still criticizing things. So, I generally just try not to because I'm bad at it. [laugh].Corey: It's why I generally advise people don't try, in seriousness. It's not that people can't be clever; it's that the failure mode of clever is ‘asshole' and I'm not a big fan of making people feel worse based upon the things that I say and do. It's occasionally I wind up getting yelled at by Amazonians saying that the people who built a service didn't feel great about something I said, and my instinctive immediate reaction is, “Oh, shit, that wasn't my intention. How did I screw this up?” Given a bit of time, I realized that well hang on a minute because I'm not—they're not my target audience. I'm trying to explain this to other customers.And, on some level, if you're going to charge tens of millions of dollars a month for a service or more, maybe make a better one, not for nothing. So, I see both sides of it. I'm not intentionally trying to cause pain, but I'm also not out here insulting people individually. Like, sometimes people make bad decisions, sometimes individually, sometimes in a group. And then we have a service name we have to live with, and all right, I guess I'm going to make fun of that forever. It's fun that keeps it engaging for me because otherwise, it's boring.Adam: No, I hear you. No, and somebody's got to do it. I'm glad you do it and do it so well because, I mean, you got to keep them honest. Like, that's the thing. Keep AWS in check.Corey: Something that I went through somewhat recently was a bit of an awakening. I have no problem revisiting old opinions and discovering that huh, I no longer agree with it; it's time to evolve that opinion. The CDK specifically was one of those where I looked at it and thought this thing looks a little hokey. So, I started using it in Python and sure enough, the experience was garbage. So cool, the CDK is a piece of crap. There we go. My job is easy.I was convinced to take a second look at it via TypeScript, a language I do not know and did not have any previous real experience with. So, I spent a few days just powering through it, and now I'm a convert. I think it's amazing. It is my default go-to for building AWS infrastructure. And all it took was a little bit of poking and prodding to get me to change my mind on that. You've taken it to another level and you started actively contributing to the AWS CDK. What was your journey with that, honestly, remarkable piece of software?Adam: Yeah, so I started contributing to CDK when I was actually doing a lot of Python development. So, I worked with a company that was doing—there was a Python shop. So actually, the first thing I contributed was a Python function construct, which is sort of the equivalent of the Node.js function construct, which like, you can just basically point at a TypeScript file and it transpiles it, bundles it, and does all that, right? So, it makes it easy to deploy TypeScript as a Lambda function.Well, I mean, it ends up being a JavaScript Lambda function, but anyway, that was the Python function construct. And then I sort of got really into it. So, I got pretty hooked on using the CDK in every place that I could. I'm a huge fan, and I do primarily write in TypeScript these days. I love being able to write TypeScript front-end and back, so built a lot of, like, Next.JS front-ends, and then I'm building back-ends with CDK TypeScript.Yeah, I've had, like, a lot of conversations about CDK. I think there's definitely a group that's sort of, against the CDK, if you're thinking in terms of, like, beginners. And I do see where, for people who aren't as familiar with AWS, or maybe this is their entry point into cloud development, it does a lot of things that maybe you're not aware of that, you know, you're now kind of responsible for. So, it's deploying—like, it makes it really easy to write, like, three lines of TypeScript that stand up an entire VPC with all this configuration and Managed NAT Gateways and [laugh] everything else. And you may not be aware of all the things you just stood up.So, CloudFormation maybe is a little more—sort of gives you that better visibility into what you're creating. So, I've definitely seen that pushback. But I think for people who really, like, have built a lot of applications on AWS, I think the CDK is just such a time-saver. I mean, I spend so much less time building the same things in the CDK versus CloudFormation. I'm a big fan.Corey: For me, I've learned enough about JavaScript to be dangerous and it seems like TypeScript is more or less trying to automate a bunch of people's jobs away, which is basically, from I can tell, their job is to go on the internet and complain about someone's JavaScript. So great, that that's really all it does is it complains, “Oh, this ambiguous. You should be more specific about it.” And great. Awesome. I still haven't gotten into scenarios where I've been caught out by typing issues, and very often I find that it just feels like sheer bloodymindedness, but I smile, nod, bend the knee and life goes on.Adam: [laugh]. When you've got a project that's, like, I don't know, a few months old—or better, a few years old—and you need to do, like, major refactoring, that's when TypeScript really saves you just a ton of time. Like, when you can make a change in a type or in actual implementation stuff and then see the ripple effects and then sort of go around the codebase and fix those things, it's just a lot easier than doing it in JavaScript and discovering stuff at runtime. So, I'm a big TypeScript fan. I don't know where it's all headed. I know there's people that are not fans of, like, transpiling your Lambda functions, for instance. Like, why not just ship good JavaScript? And I get that case, too. Yeah, but I've definitely—I felt the productivity boost, I guess—if that's the thing—from TypeScript.Corey: For me, I'm still at a point where I'm learning the edges of where things start and where they stop. But one of the big changes I made was that I finally, after 15 years, gave up my beloved Vim as my editor for this and started using VS Code. Because the reasons that I originally went with Vi were understandable when you realize what I was. I'm always going to be remoting into network gear or random—on maintained Unix boxes. Vi is going to be everywhere on everything and that's fine.Yeah, I don't do that anymore, and increasingly, I find that everything I'm writing is local. It is not something that is tied to a remote thing that I need to login and edit by hand. At that point, we are in disaster area. And suddenly it's nice. I mean things like tab completion, where it just winds up completing the rest of the variable name or, once you enable Copilot and absolutely not CodeWhisperer yet, it winds up you tab complete your entire application. Why not? It's just outsourcing it to Stack Overflow without that pesky copy and paste step.Adam: Yeah, I don't know how in the weeds you want to get on your p—I don't know, in terms of technical stuff, but Copilot both blows me away—there are days where it autocompletes something that I just, I can't fathom how—it pulled in not just, like, the patterns that it found, obviously, in training, but, like, the context in the file I'm working and sort of figured out what I was trying to do. Sometimes it blows me away. A lot of times, though, it frustrates me because of TypeScript. Like, I'm used to Typescript and types saving me from typing a lot. Like, I can tab-complete stuff because I have good types defined, right, or it's just inferred from the libraries I'm using.It's tough though when GitHub is fighting with TypeScript and VS Code. But it's funny that you came from Vim and you now live in VS Code. I really am trying to move from VS Code to, like, the Vim world, mostly because of Twitch streamers that blow my mind with what they can do in Vim [laugh] and how fast they can move. I do—every time I move my hand, like, over to the arrow keys, I feel a little sad and I wish I just did Vim.Corey: This episode is sponsored in part by our friends at Lambda Cloud. They offer GPU instances with pricing that's not only scads better than other cloud providers, but is also accessible and transparent. Also, check this out, they get a lot more granular in terms of what's available. AWS offers NVIDIA A100 GPUs on instances that only come in one size and cost $32/hour. Lambda offers instances that offer those GPUs as single card instances for $1.10/hour. That's 73% less per GPU. That doesn't require any long term commitments or predicting what your usage is gonna look like years down the road. So if you need GPUs, check out Lambda. In beta, they're offering 10TB of free storage and, this is key, data ingress and egress are both free. Check them out at lambdalabs.com/cloud. That's l-a-m-b-d-a-l-a-b-s.com/cloud.Corey: There are people who have just made it into an entire lifestyle, on some level. And I'm fair to middling; I've known people who are dark wizards at it. In practice, I found that my productivity was never constrained by how quickly I can type. It's one of those things where it's, I actually want to stop and have my brain catch up sometimes, believe it or not, for those who follow me on Twitter. It's the idea of wanting to make sure that I am able to intelligently and rationally wrap my head around what it is I'm doing.And okay, just type out a whole bunch of boilerplate is, like, the least valuable use of anything and that is where I find things like Copilot working super well, where I, if I'm doing CloudFormation, for example, the fact that it tab-completes all the necessary attributes and can go back and change them or whatnot, that's an enormous time saver. Same story with the CDK, although with some constructs, it doesn't quite understand which ones get certain values to it. And I really liked the idea behind it. I think this is in some ways, the future of IDEs, to a point.Adam: Oh, for sure. I think, like, the case, you call that with CloudFormation, you don't have really typeahead in VS Code, at least I'm not using anything. Maybe there are extensions that give you that in VS Code. But to have Copilot fill in required prompts on a CloudFormation template, that's a lifesaver. Because I just, every time I write CloudFormation, I've just got the docs up and I'm copying stuff I've done before or whatever; like, to save that time it's huge. But CodeWhisperer, not so much? Is it not, I guess, up to snuff? I haven't seen it or played with it at all.Corey: It's still very early days and it hasn't had exposure outside of Amazonian codebases to my understanding, so it's, like, “Learn to code like an Amazonian.” And you can fill in your own joke here on that one. I imagine it's like—isn't that—aren't they primarily a Java shop, for one? And all right. It turns out most of my code doesn't need to operate the way that there's does.Adam: I didn't know that they were training it just internally. Like, I'm assuming Copilot is trained on, like, Stack Overflow or something, right? Or just all of GitHub, I guess.Corey: And GitHub and a bunch of other things, and people are yelling at them for it, and I haven't been tracking that. But honestly, the CodeWhisperer announcement taught me things about Copilot, which is weird, which tells me that none of these companies are great at explaining this. Like I can just write a comment in this of, “Add an S3 bucket,” and then Copilot will tab-complete the entirety of adding an S3 bucket, usually even secure, which is awesome. They also fix the early Copilot teething problems of tab-completing people's AWS API credentials. You know, the—yeah, they've fixed a lot of that, thankfully.Adam: Yeah.Corey: But it's still one of those neat things that you can just basically start—it gets a little bit closer to describe what you want the application to do and then it'll automatically write it for you on the back-end. Sure, sometimes it makes naive decisions that do not bear out, but again, it's still early days. I'm optimistic.Adam: Yeah, that reminds me of, like, the, I mean, the serverless cloud, so serverless framework folks, like, what they're doing where they're sort of inferring your infrastructure based on you just write an app and it sort of creates the infrastructure as code for you, or just sort of infers it all from your code. So, if you start using a bucket, it'll create a bucket for that. That definitely seems to be a movement as well, where just do less as a developer [laugh] seems to be the theme.Corey: Yeah, just move up the stack. We see this time and time again. I mean, look at the—I use this analogy from time to time from the sysadmin world, but in the late-90s, if you wanted to build a web server, you needed a spare week and an intimate knowledge of GCC compiler flags. In time, it became oh, great, now it's rpm install, then yum install, then ensure present with something like Puppet, and then Docker has it, and now it's just a checkbox on the S3 page, and you're running a static site. Things don't get harder with time, and I don't think that as a developer, your time is best spent writing by hand the proper syntax for a for loop or whatnot.It's not the differentiated value. Talk to me instead about what you want that thing to do. That was my big problem with Lambda when it first came out and I spent two weeks writing my first Lambda function—because I'm bad at programming—where I had to learn the exact format of expected for input and output, and now any Lambda function I write takes me a couple of minutes to write because I'm also bad at programming and don't know what tests are.Adam: [laugh]. Tests are overrated, I don't spend a lot of time writing t—I mean, I do a lot of stuff alone and I do a lot of stuff for myself, so in those contexts, I'm not writing tests if I'm being honest. I stream now and everyone on the stream is constantly asking, “Where are the tests?” Like, there are no tests. I'm sorry. [laugh]. Was someone else's stream.Corey: Oh yeah, it used to be though, that you had to be a little sneakier to have other people do work for you. Copilot makes it easier and presumably CodeWhisperer will, too. Used to be that if AWS launched new service and I didn't know how to configure it, all I would do is restrict a role down to only being able to work with that service, attach that to a user and then just drop the credentials on Twitter or GitHub. And I waited 20 minutes and I came back and sure enough, someone configured it and was already up and mining Bitcoin. So, turn that off, take what they built, and off the production with it. Problem solved. Oh, and rotate those credentials, unless you enjoy pain. Problem solved. The end. And I don't know if it's a best practice, but it sure was effective.Adam: Yeah, that would do it. Well, they're just like scanners now, right, like they're just scanning GitHub public repos for any credentials that are leaked like that, and they're available within seconds. You can literally, like, push a public repo with credentials and it is being [laugh] used within minutes. It's nuts.Corey: GitHub has some automatic back channel thing—I believe; I haven't done an experiment lately, but I believe that AWS will intentionally shoot down the credential as soon as it gets reported, which is kind of amazing. I really should do some more experiments with it just to see how disastrous this can get.Adam: Yeah. No, I'd be curious. Please let me know. I guess you'll tweet about it so I'll see it.Corey: Can I borrow your account for a few minutes?Adam: Yeah. [laugh].Corey: Yeah, it's fun. Now, the secret to my 17 Ways to Run Containers On AWS is in almost every case, those containers can be crypto miners, so it's not just about having too many services do the same thing; it's the attack surface continues to grow and expand in the fullness of time. I'm not saying this is right or wrong; it is what it is, but it's also something that I think people have an understated appreciation for.Let's change topic a little bit. Something you've been doing lately and talking about is the idea of building a course on AWS. You're clearly capable of doing the engineering work. That's not in question. You've been a successful consultant for years, which tells me you also know how to deliver software that meets customer requirements, as opposed to, “Well, the spec was shitty, but I wrote it anyway,” because you don't last long as a consultant if you enjoy being able to afford to eat if that's the direction you go in. Now, you're drifting toward becoming a teacher. Tell me about that. First, what makes you think that's something you're good at?Adam: So, I don't know. I don't know that I'm good at it and I guess I'll find out. I've been streaming, like, on Twitch just my work days, and that's been early signs that I think I'm okay at it, at least. I think it's very different, obviously, like, a self-paced course are going to be very different from streaming for hours, so there's a lot more editing and thoughtfulness involved, but I do think, like, I've always wanted to teach. So, even before I got into technology—I was pretty late into technology; it was after high school. Like back in high school, I always thought I wanted to be a professor.I just enjoyed, I guess the idea of presenting ideas in ways that people understood. And I live in an area—so I live in the Ozarks, it's not a very tech literate area. It became, like, this thing where I felt like I could really explain technology to people who are non-technical. And that's not necessarily what my course—what I'm aiming to do. I'm trying to teach web developers how to leverage AWS, and then sort of get out of the maybe front-end only or maybe traditional web frameworks—like, they've only worked with stuff that they deploy to Heroku or whatever—trying to teach that crowd, how to leverage AWS and all these wonderful primitives that we have.So, that's not exactly the same thing, but that's sort of like, I feel like I do have the ability to translate technology to non-technical folks. And then I guess, like, for me, at this stage of my career, you know, I've done a lot of work for a company, for startups, for individual clients, and it feels very, like—I just always feel like I'm going in a hole. Like, I feel like, I'm doing this little thing and I'm serving this one customer, but the idea of being able to, I guess, serve more people and sort of spread my reach, the idea of creating something that I can share with a lot of developers who would maybe benefit from it, it just feels better, I guess. [laugh]. I don't know exactly all the reasons why that feels better, but like, at the end of the day, my consulting kind of feels like this thing I do because I just need money.And now that I need money less and less, I just feel like I'd rather do stuff that I actually am excited about. I'm actually really excited about the outcomes for creating a course where, you know, I think I can maybe—my style of teaching or something could resonate with some group of people. Yeah, so that's it. It's AWS for web devs. The thought is that I'm going to create courses after this. Like, I hope to move into more education, less consulting. That's where I'm at.Corey: I would say you're probably selling yourself fairly short. I've seen a lot of the content you've put out over the years and I learned a lot from it every time. I think that there are some folks who put courses out where, one, they don't have the baseline knowledge around what it is that they're teaching, it just feels like a grift, and another failure mode is that people know how to do the thing, but they have no idea how to teach it to someone who isn't them. And there's nothing inherently wrong with not knowing how to teach; it is its own distinct skill. The problem is when you don't recognize that about yourself and in turn, wind up having some somewhat significant challenges.Adam: Yeah. No, I know that one of the struggles is, I work with pretty obscure technologies on AWS. Not obscure, but like, I have a very specific way I build APIs on AWS and I don't know that's generally, if you're taking a bunch of web developers and trying to move them into AWS is probably not the stack that I use. So, that is part of it, but that's also kind of to my benefit, I guess. It works for me a little bit in that I'm less familiar with maybe the more beginner-friendly way to enter into AWS.It's been years, so I think I can kind of come at it a little fresh and that'll help me produce a course that maybe meets them where they're at better. Yeah, the grifting thing, I'm definitely sensitive to just this idea of putting out a course. It was hard for me to really go out there and say I was making a course, even on Twitter, because I just feel like there's, like, some stereotype—I don't know, there's an association with that, for me at least, for my perception of course creation. But I know that there are people who've done it right and do it for the right reasons. And I think to the extent that I could hit that, you know, both those things, do it right and do it for the right reasons, then it's exciting to me. And if I can't, and it turned out not good at teaching, then I'll move on and do more consulting, I guess, [laugh] or streaming on Twitch.Corey: You are very clearly self-aware enough that if you put something out and it isn't effective, I have zero doubt that you won't just stop selling it, you'll take it down and reach out to people. Because you, more so than most, seem very cognizant of the fact that a poor experience learning something does not in most people's cases, translate to, “Oh, my teacher is shitty.” Instead, it's, “Oh, I'm bad at this and I'm not smart enough to figure it out.” That's still the problem I run into with bad developer experience on a bunch of things that get launched. If I have a bad time, I assume it's, “Oh, I'm stupid. I wish someone had told me.”And first, they did, secondly, it's the sense that no, it's just not being very clearly explained and the folks who wrote the documentation or talking about it are too close to what they've built to understand what it's like to look at this thing from fresh eyes. They're doing a poor job of setting the stage to explain the value it brings and in what scenario, you should be using this.Adam: It's a long process. I want to launch the course in the fall, but in the process of building out the course, I'm really going to be doing workshops and individual—like, I just have a lot of friends that are web developers and I'm going to be kind of getting on with them and teaching them this material and just trying to see what resonates. I'm going to a lot of trouble, I guess, to make sure I'm not just putting out a thing just to say I made a course. Like, I don't actually want to say I made a course, so if I'm going to do it, it's like most things I do I really kind of throw myself into. And I know if I spend enough energy and effort, I think I can make something that at least helps some people. I guess we'll see.Corey: I look forward to it. Any idea as far as rough timeline goes?Adam: Yeah, I hope to launch in the fall. But if it takes longer, I don't know. I've heard people say, to do a course right, you should spend a year on it. And maybe that's what I do.Corey: No, I love that answer. It's great. You're just saying I want to launch in the fall, which is sufficiently vague, and if that winds up not being vague enough, you could always qualify with, “Well, I didn't say what year.”Adam: [laugh].Corey: So, great you know, it's always going to be the fall somewhere.Adam: [laugh]. I just know, like, when someone says you should spend a year I just do things very hard. Like I really, like, throw a lot of time and obsess, like, I'm very obsessive. And when I do something, it's hard for me imagine doing any one thing for a year because I burn myself out. Like, I obsess very hard for usually, like, three months, it's usually, like, a quarter, and then I fall off the face of the earth for three months and I basically mope around the house and I'm just too tired to do anything else. So, I think right now I'm streaming and that's kind of been my obsession. I'm three weeks in so we got a few more months and then we'll see, [laugh] we'll see how I maintain it.Corey: Well, I look forward to seeing how it comes out. You'll have to come back and let us know when it's ready for launch.Adam: Yeah, that sounds great.Corey: I really want to thank you for being so generous with your time and taking me through what you're up to. If people want to learn more, what's the best place for them to find you?Adam: Yeah, I think Twitter. I mean, I mostly hang out on Twitter, and these days Twitch. So, Twitter my handle—I guess you'll put it, like, in the thing description or something. It's like the phonetic—Corey: Oh, we will absolutely toss it into the show notes, where useful content goes to linger.Adam: [laugh]. It's like A-E-D-U-H-M. It's like a—it's the phonetic way of saying Adam, I guess. And then on Twitch, I'm adamelmore. So, those are the two places I spend most my time.Corey: And off to the show notes it goes. Thank you so much for being so generous with your time. I really appreciate it, Adam.Adam: Thank you so much for having me, Corey. I really appreciate it.Corey: Adam Elmore, independent AWS consultant. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an insulting comment that attempts to teach us exactly what we got wrong, but fails utterly because you're terrible at teaching things.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.
Обговорюємо новини з телеграм каналу @automation_remarks_bot 00:00:42 - Зарплати QA, опитування на DOU 00:04:03 - Hire Freeze і скорочення в світових IT гігантах 00:12:01 - Що в кіно? (https://www.imdb.com/title/tt11173006/ та https://www.imdb.com/title/tt12005128/) 00:17:20 - How do I progress to the next level in my career? (https://theengineeringmanager.substack.com/p/how-do-i-progress-to-the-next-level) 00:26:52 - No QA No Bugs (https://medium.com/@happylewie/no-qa-no-bugs-c17a0b7a0bc0) 00:38:07 - Test Automation Scenario Interview Question that Most Candidates Failed (https://zhiminzhan.medium.com/one-test-automation-scenario-interview-question-that-most-candidates-failed-ee9a276e4e1e) 01:03:42 - CodeWhisperer vs Copilot (https://typefully.com/iamvlaaaaaaad/8HjruKe) 01:11:44 - 8 Perspectives of Quality: A Model (https://danashby.co.uk/2022/07/22/8-perspectives-of-quality-a-model/) 01:22:20 - Why are QA engineers paid relatively less than developers? (https://www.reddit.com/r/softwaretesting/comments/vso6z2/why_are_qa_engineers_paid_relatively_less_than/) 01:31:03 - А чому насправді платять меньше?
Podcast jest dostępny także w formie newslettera: https://ainewsletter.integratedaisolutions.com/ Wygląda na to, że plan Tesli dotyczący odsłonięcia działającego prototypu swojego humanoidalnego robota idzie dobrze. https://www.teslarati.com/tesla-humanoid-robot-prototype-unveiling-ai-day-2-date/ Firma DeepMind niedawno przeszkoliła Flamingo, model wizyjno-językowy (VLM) https://www.infoq.com/news/2022/06/deepmind-flamingo-vlm/ Wykorzystując mieszankę nieoznakowanych filmów z Minecrafta i małego zestawu danych oznaczonych przez wykonawców, firma OpenAI, firma zajmująca się sztuczną inteligencją, była w stanie wyszkolić sieć neuronową, aby kompetentnie grać w Minecrafta — kamień milowy dla technologii, która wcześniej miała problemy z rozprawą z prostą, ale luźną grą. https://gizmodo.com/openai-taught-an-ai-to-play-minecraft-1849106533 Amazon zaprezentował w czwartek CodeWhisperer, nowe narzędzie dla programistów, które denerwuje zalecenia dotyczące kodu. https://www.zdnet.com/article/amazon-debuts-codewhisperer-its-ml-powered-coding-companion/ Zgodnie z notatką analityka BTIG, Petera Saleha, McDonald's rozszerzył swój program pilotażowy asystenta głosowego drive-thru do 24 sklepów. https://voicebot.ai/2022/06/23/mcdonalds-expands-drive-thru-voice-assistant-pilot-after-ibms-mcd-tech-acquisition/ Odwiedź www.integratedaisolutions.com
Es scheint, dass Teslas Plan, einen funktionierenden Prototyp seines humanoiden Roboters vorzustellen, gut vorankommt. https://www.teslarati.com/tesla-humanoid-robot-prototype-unveiling-ai-day-2-date/ DeepMind hat vor kurzem Flamingo trainiert, eine 80B-Parameter Vision-Language-Model (VLM)-KI. https://www.infoq.com/news/2022/06/deepmind-flamingo-vlm/ Mit einer Mischung aus unbeschrifteten Minecraft-Videos und einem kleinen Datensatz von Videos, die von Auftragnehmern beschriftet wurden, konnte das Unternehmen für künstliche Intelligenz OpenAI ein neuronales Netzwerk trainieren, um Minecraft kompetent zu spielen – ein Meilenstein für die Technologie, die zuvor Schwierigkeiten hatte, das einfache, aber lockere Spiel zu knacken Spielweise . https://gizmodo.com/openai-taught-an-ai-to-play-minecraft-1849106533 Amazon hat am Donnerstag CodeWhisperer vorgestellt, ein neues Tool für Entwickler, das Codeempfehlungen deneriert. https://www.zdnet.com/article/amazon-debuts-codewhisperer-its-ml-powered-coding-companion/ Laut einer Mitteilung von BTIG-Analyst Peter Saleh hat McDonald's sein Drive-Through-Sprachassistenten-Pilotprogramm auf 24 Geschäfte ausgeweitet. https://voicebot.ai/2022/06/23/mcdonalds-expands-drive-thru-voice-assistant-pilot-after-ibms-mcd-tech-acquisition/ Visit www.integratedaisolutions.com
It appears that Tesla's plan to unveil a working prototype of its humanoid robot is progressing well. https://www.teslarati.com/tesla-humanoid-robot-prototype-unveiling-ai-day-2-date/ DeepMind recently trained Flamingo, an 80B-parameter Vision Language Model (VLM) AI. https://www.infoq.com/news/2022/06/deepmind-flamingo-vlm/ Using a mix of uncaptioned Minecraft videos and a small dataset of videos captioned by contractors, artificial intelligence company OpenAI was able to train a neural network to play Minecraft proficiently - a milestone for the technology, which previously struggled to Crack the simple but casual game style of play. https://gizmodo.com/openai-taught-an-ai-to-play-minecraft-1849106533 Amazon on Thursday introduced CodeWhisperer, a new tool for developers that derives code recommendations. https://www.zdnet.com/article/amazon-debuts-codewhisperer-its-ml-powered-coding-companion/ McDonald's has expanded its drive-through voice assistant pilot program to 24 stores, according to a note from BTIG analyst Peter Saleh. https://voicebot.ai/2022/06/23/mcdonalds-expands-drive-thru-voice-assistant-pilot-after-ibms-mcd-tech-acquisition/ Visit www.integratedaisolutions.com
This week on the podcast, Eric, John, and Thomas talk about Amazon Codewhisper, New Features coming to PHP 8.2, Event Sourcing, and more...Links from the show:php - MYSQL incorrect DATETIME format - Stack Overflowweb dev has gotten notoriously complex and I dont see the ROI... : webdevDon't Let the Internet Dupe You, Event Sourcing is Hard - BlogomatanoBuy PhpStorm: Pricing and Licensing, Discounts - JetBrains Toolbox SubscriptionDeveloper Ecosystem Survey 2022Git - git-bisect Documentation[PHP 8.2] 30 days before feature freeze - ExternalsPHP Core Roundup #3 — The PHP Foundation — Supporting, Advancing, and Developing the PHP LanguageCopilot works so well because it steals open source code and strips creditAmazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool – TechCrunchFinally Obtaining the Triforce in Ocarina of Time: Triforce Percent Explained - YouTubeThis episode of PHPUgly was sponsored by:Honeybadger.io - https://www.honeybadger.io/PHPUgly streams the recording of this podcast live. Typically every Thursday night around 9 PM PT. Come and join us, and subscribe to our Youtube Channel, Twitch, or Periscope. Also, be sure to check out our Patreon Page.Twitter Account https://twitter.com/phpuglyHost:Eric Van JohnsonJohn CongdonTom RideoutStreams:Youtube ChannelTwitchPeriscopePowered by RestreamPatreon PagePHPUgly Anthem by Harry Mack / Harry Mack Youtube ChannelThanks to all of our Patreon Sponsors:Honeybadger ** This weeks Sponsor **ButteryCrumpetFrank WDavid QShawnKen FBoštjanMarcusShelby CS FergusonRodrigo CBillyDarryl HKnut Erik BDmitri GElgimboMikePageDevKenrick BKalen JR. C. S.Peter AClayton SRonny MBen RAlex BKevin YEnno RWayneJeroen FAndy HSeviChris CSteve MRobert SThorstenEmily JJoe FAndrew WulrikJohn CJames HEric MLaravel MagazineEd GRirielilHermitChampJeffrey D
Every 2 weeks our panel of technology enthusiasts meets to discuss the most important news from the fields of technology, innovation, and science. And you can join us live!Our panel today>> Tarek>> Vincent>> Dan>> Alex1: TikTok Announces Full Merger of US User Data to US-Based Systems, Amid New Reports of Chinese Access | Social Media Today2: Meta reportedly plans to shut down its viral news tracker CrowdTangle - The Verge3: Googles umstrittene Lamda-KI soll sich einen Anwalt genommen haben4: Brave's search engine lets you customize your results - The Verge5: US TikTok User Data Has Been Repeatedly Accessed From China, Leaked Audio Shows6: eBay acquires established NFT marketplace KnownOrigin - The Verge7: Altersüberprüfung: Instagram testet KI-Tool zum Scannen von Gesichtern8: Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool – TechCrunchVisit Ideas Engineering>> Website>> Facebook>> Twitter>> LinkedIn>> Instagram>> Github>> Spotify>> YouTube>> Telegram>> NewsletterVisit FreeTech Academy>> Website>> Instagram>> Facebook>> Twitter>> YouTube
### Topics Github Copilot - for all Chrome 105 - :has Node 16 end date update Deno + $21M JS Dom 20 zx 7 Prettier 2.7 + TS Reactime 14 Safari bug… ### Prowadzący Piotr i Sebastian https://www.linkedin.com/in/piotrzaborow https://www.linkedin.com/in/smysakowski ### Timestamps 00:00 - Intro 00:57 - Github Copilot - for everyone 05:42 - [Twitter] Chrome 105 :has 06:21 - Node 16 End date switch 08:19 - Deno raises $21M 11:24 - JS Dom 20 13:02 - zx 7 14:40 - Prettier 2.7 added TypeScript support 15:04 - Reactime 14 19:50 - Safari bug… ### Słuchaj jak Ci wygodnie Youtube https://youtu.be/SpYzVNKeiCM Spotify http://bit.ly/devspresso_spotify Google Podcast http://bit.ly/devspresso_google_podcast iTunes http://bit.ly/devspresso_itunes SoundCloud https://soundcloud.com/devspresso/js-news-85 ### Źródła Github Copilot - for everyone https://github.com/features/copilot/ Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool https://techcrunch.com/2022/06/23/amazon-launches-codewhisperer-its-ai-pair-programming-tool [Twitter] Chrome 105 :has https://twitter.com/bramus/status/1539154484479377408 Node 16 End date switch https://nodejs.org/en/blog/announcements/nodejs16-eol/ Deno raises $21M https://deno.com/blog/series-a JS Dom 20 https://github.com/jsdom/jsdom zx 7 https://github.com/google/zx/releases/tag/7.0.0 Prettier 2.7 added TypeScript support https://prettier.io/blog/2022/06/14/2.7.0.html Reactime 14 https://github.com/open-source-labs/reactime [Twitter] Remix https://twitter.com/erikras/status/1525142738382950400 Ouch, Safari on iOS can overlap multiple full-screen videos https://mmazzarolo.com/blog/2022-06-16-safari-on-ios-can-overlap-multiple-full-screen-videos/
Want to know how to get started with Appium 2.0. Does it matter if you call it monitoring or observability? You're also going to want to stay to the very end to see the five CI/CD breaches analyzed and how they impact your security testing. So stay tuned to these and other and full pipeline DevOps automation testing, performance testing, and security testing in 10 minutes or less in this episode of the TestGuild news show. For the week of June 27. So grab a cup of coffee or tea and let's do this. Time News Title News Link 0:24 Create a FREE Applitools Account https://rcl.ink/xroZw 0:57 CodeWhisperer, https://links.testguild.com/Jiean 2:46 Can we trust AI https://links.testguild.com/AmJVa 3:18 BitBar https://links.testguild.com/c03Dv 3:51 Appium 2.0 https://links.testguild.com/BV83I 4:43 AI CyFast https://links.testguild.com/xgNav 5:33 Monitoring Or Observability? https://links.testguild.com/48siR 7:07 Classification of severity levels https://links.testguild.com/FxLub 7:48 PyPi unsecured sites https://links.testguild.com/apsEn 8:49 5 CI/CD breaches https://links.testguild.com/yf6vM
Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool; Zendesk drama concludes with $10.2 billion private equity acquisition; Leica's new camera costs $20,000 and has zero megapixels
Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool; Zendesk drama concludes with $10.2 billion private equity acquisition; Leica's new camera costs $20,000 and has zero megapixels
The fire sale on tech companies has begun. More big important hacks to be aware of. Another crypto bridge has been compromised. Amazon wants you to know about their AI coding tool. TikTok turns on the money spigot. And, of course, the weekend longreads suggestions.Sponsors:Setapp Playlists on SpotifyKeeperSecurity.com/techmemeLinks:Zendesk to be acquired by investor group for $10.2 billion (CNBC)Google is notifying Android users targeted by Hermit government-grade spyware (TechCrunch)CISA, US Coast Guard warn of Log4Shell attacks after 130GB data breach in May (The Record)Breaking: Harmony's Horizon Bridge hacked for $100M (CoinTelegraph)Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool (TechCrunch)TikTok Turns On the Money Machine (Bloomberg)Weekend Longreads Suggestions:Web3 Use Cases: Today (Not Boring)Where are all the crypto use cases? (Evan Conrad)How Russia's vaunted cyber capabilities were frustrated in Ukraine (Washington Post)Self-Driving Big Rigs Are Coming. Is America Ready? (WSJ)How Townscaper Works: A Story Four Games in the Making (Game Developer)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
While the Cloud has democratized application development by giving on-demand access to compute, storage, database, analytics, and machine learning, the traditional process of building software applications still requires developers to spend a lot of time writing boilerplate sections of code that are not directly related to the core problem that they are trying to solve. In this episode, Atul Deo, Director of Product Management, AWS AI Services joins Simon to discuss Amazon CodeWhisperer, a new ML-powered service that helps improve developer productivity by providing code recommendations based on the developers' natural comments and their prior code. Listen to learn about CodeWhisperer's features, use cases, and how you can get started. Sign up for access - https://pages.awscloud.com/codewhisperer-sign-up-form.html Learn more - https://aws.amazon.com/codewhisperer/ Read the blog post - https://go.aws/3NigPlr
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