Podcasts about invent

Scientific Evidence for Intelligent Design, How Mutations Fail To Invent and The  Remarkable Coincidences in Photosynthesis. ACU Sunday Series.  Stephen Meyer Investigates Scientific Evidence for Intelligent Design (Lecture 1) Michael Behe Exposes How Mutations Fail To Invent Michael Denton Remarkable Coincidences in Photosynthesis   Stephen Meyer Investigates Scientific Evidence for Intelligent Design (Lecture 1) https://youtu.be/C5Z6h_RVhIw Discovery Science Visit https://www.discoveryu.org/courses/meyer for the full course. For the first time, you can have living room access to over seven hours of teaching by intelligent design pioneer Stephen Meyer in a brand-new online course. A favorite of students young and old(er), Meyer will delight both as he explores the scientific evidence for intelligent design (ID) found in physics, cosmology, biology and the chemical origin of life. Join Stephen as he investigates the scientific evidence for intelligent design in the origin of life, the development of biological complexity, and physics and cosmology. In 42 short video lectures, Meyer explores the scientific basis for the theory of intelligent design—the idea that key features of life and the universe are best explained as the product of an intelligent cause rather than an unguided process. In this course, Meyer will guide you through the major concepts and information presented in his path breaking books Signature in the Cell and Darwin's Doubt, as well as previewing some of the material about physics and cosmology in his book The Return of the God Hypothesis. Each video lecture is accompanied by a short quiz, and a special digital certificate of completion is offered for those who finish the course. For more about the course visit https://www.discoveryu.org/courses/meyer. Check out these videos as well: Information Enigma: Where does information come from? https://youtu.be/aA-FcnLsF1g Michael Behe Investigates Evolution & Intelligent Design (Lecture 1) https://youtu.be/XCTTy0ylf7A Stephen Meyer Shatters The Myth Of The Multiverse (Science Uprising EP4) https://youtu.be/WR51OrawqIg ============================ The Discovery Science News Channel is the official Youtube channel of Discovery Institute's Center for Science & Culture. The CSC is the institutional hub for scientists, educators, and inquiring minds who think that nature supplies compelling evidence of intelligent design. The CSC supports research, sponsors educational programs, defends free speech, and produce articles, books, and multimedia content. For more information visit https://www.discovery.org/id/ http://www.evolutionnews.org/ http://www.intelligentdesign.org/ Follow us on Facebook and Twitter: Twitter: @discoverycsc Facebook: https://www.facebook.com/discoverycsc/ Visit other Youtube channels connected to the Center for Science & Culture Discovery Institute: https://www.youtube.com/user/Discover... Dr. Stephen C. Meyer: https://www.youtube.com/user/DrStephe... The Magician's Twin - CS Lewis & Evolution: https://www.youtube.com/user/cslewisweb Darwin's Heretic - Alfred Russel Wallce: https://www.youtube.com/user/AlfredRW...   Course Overview Join philosopher of science Stephen Meyer as he investigates the scientific evidence for intelligent design in the origin of life, the development of biological complexity, and physics and cosmology. In 42 short video lectures, Meyer explores the scientific basis for the theory of intelligent design—the idea that key features of life and the universe are best explained as the product of an intelligent cause rather than an unguided process. In this course, Meyer will guide you through the major concepts and information presented in his pathbreaking books Signature in the Cell and Darwin's Doubt, as well as previewing some of the material about physics and cosmology in his book The Return of the God Hypothesis. Each video lecture is accompanied by a short quiz, and a special digital certificate of completion is offered for those who finish the course. About the Professor Stephen C. Meyer received his PhD from the University of Cambridge in the history and philosophy of science. A former geophysicist with ARCO and professor of philosophy at Whitworth University, he currently directs the Center for Science and Culture at the Discovery Institute in Seattle. He is author of the New York Times-bestseller Darwin's Doubt (2013) as well as Signature in the Cell (2009) and The Return of the God Hypothesis (forthcoming in 2021). Recommended Texts and Resources You are encouraged to dig deeper into the topics explored in this course by consulting the following books and resources: Signature in the Cell: DNA and the Evidence for Intelligent Design (book) Darwin's Doubt: The Explosive Origin of Animal Life and the Case for Intelligent Design (book) Debating Darwin's Doubt (book) Signature of Controversy: Responses to Critics of Signature in the Cell (book) Explore Evolution: The Arguments for and against Neo-Darwinism (book) The Return of the God Hypothesis (book) DarwinsDoubt.com (website) The Information Enigma (video) The Intelligent Design Collection—Darwin's Dilemma, The Privileged Planet, Unlocking the Mystery of Life (videos) Course Outline Unit 1: Evidence of Intelligent Design in the Origin of Life Introduction to Course. What is intelligent design, and why is it controversial? In this first lecture, Meyer introduces the topic of intelligent design. Darwin's Challenge to Intelligent Design. What does evolution mean? Meyer explains adaptation and explains how Darwin's theory challenges the idea of intelligent design. Theories of the Origin of Life in the Nineteenth Century. Darwin conceived of the origin of life happening possibly in a “warm little pond.” Meyer explains the state of origin of life research at Darwin's time and later. Oparin's Theory of the Origin of Life. Meyer delves into Alexsandr Oparin's theory on the origin of life, put forward in 1936. Learn about evolutionary abiogenesis and the experiment that sought to prove it. The Amazing Complexity of Proteins. What do proteins look like? How has science progressed in its understanding of these basic building blocks of life? Meyer traces the work of protein scientists in the 1930s up through the 50s. What is the importance of a protein's shape? And how is this shape determined? The Role of DNA. How did our understanding of the cell change in the 1950s and 60s? Meyer discusses the discovery of the stable double helix structure of DNA and the key scientists involved. The DNA Enigma. Meyer examines Francis Crick's sequence hypothesis and then goes on to delve into the question of code and biological information, explaining what he calls “the DNA enigma.” What Kind of Information Does DNA Contain? Meyer explores types of information, explains mathematical Shannon information, and discusses what kind of information Francis Crick, Richard Dawkins, and Bill Gates see in life's code. Explanations for the Origin of Life: Chance. Could the information in the cell come about by chance? Today, learn the history of origin of life research from the 1950s to the present. What is prebiotic soup, anyway? Explanations for the Origin of Life: Self-Organization. Can self-organization explain the origin of biological information? In this lesson, learn about Dean Kenyon and his idea of ‘biochemical predestination' of amino acids. How does DNA fit into this whole picture? 2 Explanations for the Origin of Life: Pre-Biotic Natural Selection. What is prebiotic natural selection? Listen in as Dr. Meyer examines Oparin's hypothesis and modern attempts to reconcile evolution with the origin of life. Introduction to Intelligent Design. Meyer recounts his introduction to the design hypothesis and his quest to shape it into a rigorous scientific argument as he explores historical science methods. Objections to Intelligent Design: Is Intelligent Design Science? Meyer responds to a key philosophical objection to intelligent design. Objections to Intelligent Design: Argument from Ignorance? Some critics claim design proponents make an argument from ignorance. Is this true? Meyer discusses the intelligent designer of the gaps objection and illustrates why it is not applicable. Objections to Intelligent Design: RNA World, pt 1. Is it possible to avoid the cell's chicken and egg problem? Listen in as Meyer discusses the RNA world scenario. Can genetic information and biochemically relevant functions be present without either DNA or protein? Objections to Intelligent Design: RNA World, pt. 2. Can the RNA world scenario overcome the information problem? Listen in as Dr. Meyer analyzes this popular proposal. Objections to Intelligent Design: RNA World, pt. 3. Have scientific developments “overtaken Meyer's book” as Stephen Fletcher claims? Listen in as Meyer examines Fletcher's supposed evidence. Objections to Intelligent Design: Junk DNA. Critics claim that junk DNA disproves intelligent design. Meyer takes on this objection. Unit 2: Evidence of Intelligent Design in the Development of Life Another Information Problem in the History of Life. Is the origin of life the main problem with the materialistic evolutionary account of origins? Meyer delves into the modern evolutionary synthesis. Is information a problem here too? The Cambrian Explosion. What does the fossil record reveal about life's history? Meyer discusses how Darwin found the Cambrian explosion particularly striking and puzzling. The Mystery of the Missing Fossils: The Burgess Shale. Darwin tried to propose an explanation for the mystery of the missing fossils. But have later discoveries confirmed his predictions? Meyer introduces a 1909 discovery – the Burgess Shale. The Mystery of the Missing Fossils: The Chenjiang Fauna. Meyer details a fossil find with great diversity: the Cambrian era Chenjiang fauna. 3 What Does It Take to Build an Animal? Meyer discusses the process of how to get a Cambrian animal. Challenges to the Neo-Darwinian Mechanism: Combinatorial Searches, pt. 1. What does combinatorial search mean? And how would the neo-Darwinian mechanism produce the new genetic information needed to build new animals? Challenges to the Neo-Darwinian Mechanism: Combinatorial Searches, pt. 2. How hard is it to get a new protein? Meyer does the math, further examining the efficacy of the neo-Darwinian synthesis. Challenges to the Neo-Darwinian Mechanism: Developmental Mutations and Gene Regulatory Networks. It's a catch-22: random mutation and organism development. Meyer gets beyond the numbers and uncovers the challenges posed for NeoDarwinism by developmental mutations and developmental gene regulatory networks. Challenges to the Neo-Darwinian Mechanism: Information beyond DNA. Do protein folds and developmental gene regulatory networks pose the biggest problems to Neo-Darwinism? Meyer discusses a third devastating challenge to evolution. He also discusses new evolutionary theories proposed to overcome it. The Positive Case for Intelligent Design, pt. 1. Can one make a positive case for intelligent design using accepted methods of reasoning? Meyer examines inductive, deductive and abductive reasoning, and lays out what intelligent design proponents need to demonstrate to make a strong case for design. The Positive Case for Intelligent Design, pt. 2. Meyer applies historical scientific methods to evaluate potential causes of the Cambrian explosion. The Positive Case for Intelligent Design, pt. 3. Meyer discusses genetic algorithm computer programs, the reason why the random mutation/natural selection mechanism is doomed, and why intelligence uniquely can account for functional information. Responding to Critics: Charles Marshall. Paleontologist Charles Marshall challenged Meyer's arguments in Darwin's Doubt, and here Meyer responds. Response to Critics: Dennis Venema and Deborah Haarsma. Meyer evaluates an objection to his book from theistic evolutionists Dennis Venema and Deborah Haarsma. Can evolution's mechanism of natural selection acting on random mutations account for new protein folds? And what does the evolution of nylonase demonstrate? Responding to Critics: Lawrence Krauss and Richard Dawkins. Meyer responds to atheists Lawrence Krauss and Richard Dawkins. 4 Who Is the Designer? Who is the designing intelligence? Was it an alien? Or a transcendent being? Meyer addresses this question, distinguishing between evidence from biology that merely points to mind, and separate evidence that may shed light on the identity of the designer. Unit 3: Evidence of Intelligent Design in Physics and Cosmology One Man's Journey. Meyer recounts the story of an astronomer's journey from atheism to intelligent design. What do the stars reveal? What Is Fine-Tuning? Meyer discusses the laws and constants of physics, highlighting striking examples of fine-tuning. How Do We Recognize Design? Meyer discusses William Dembski's theory of design inferences, and applies that to fine-tuning. Weak Anthropic Principle and Natural Law. Meyer gives an overview of the weak anthropic principle and natural law as explanations for fine-tuning. The Multiverse, pt. 1. Meyer describes a popular explanation for fine-tuning and the two cosmological models physicists employ. The Multiverse, pt. 2. Meyer analyzes the multiverse theory. How does it stack up against intelligent design? The Multiverse, pt. 3. Meyer delves deeper into universe generating mechanisms and what they require. Who Is the Designer? In this final video lecture, Stephen Meyer shares his thoughts on this important question.     Michael Behe Exposes How Mutations Fail To Invent (Science Uprising EP6) https://youtu.be/_ivgQFIST1g Discovery Science Are chance mutations really “the key to our evolution” like they claim in the X-Men films? Or are there strict limits to what mutations can accomplish, limits that point to the need for an overarching designer and the failure of Darwinian evolution to create fundamentally new things? Be sure to visit https://scienceuprising.com/ to find more videos and explore related articles and books. In this episode of Science Uprising, we'll take a look at the real evidence for the supposed powerhouse of evolution. The featured expert is biochemist Michael Behe of Lehigh University, author of the books Darwin's Black Box, The Edge of Evolution, and Darwin Devolves. Well-known scientists have been preaching a materialistic worldview rather than presenting the public with all the evidence. We are here to change that. The objective scientific evidence does not prove our universe is blind and purposeless. It does not show we are simply meat machines. It does not prove that evolutionary mechanisms can completely account for the diversity of life on earth. This is what THEY want you to think. Think for yourself and make an informed decision. Are you ready? The uprising has begun. In a lecture, Phillip Johnson cited physicist Richard Feynman on a scientist's obligation to be honest — not only with himself or in other scientific contexts but, not one bit less, when speaking to the lay public. “You should not fool the laymen when you're talking as a scientist.” That such a thing would need to be said is itself revealing. What's more, Feynman insisted, you should “bend over backwards to show how you may be wrong.” The comments are taken from a Commencement address by Feynman in 1974 at Caltech. Johnson, a founding father of modern intelligent design, was so moved by this that he said “I wish it could be set to music.” As far as I know it hasn't been set to music. But the idea is a major theme in the new Science Uprising series. Scientists fool themselves and they fool non-scientists, not about dry technical details with no special significance, but about matters that bear on huge, life-altering world picture issues. One example is the role of mutations in evolution. That is the topic of Episode 6 of Science Uprising, “Mutations: Failure to Invent.” It's out now; see it here: The Alternative Perspective The idea that random genetic mutations lead to wondrous, creative innovations is so influential that it forms the premise of a movie franchise, X-Men, that has grossed $6 billion worldwide over the past couple of decades. That's a lot of “fooling the laymen”! The alternative perspective would be open to the possibility of creative evolution requiring intelligence guidance. The producers of the X-Men movies aren't scientists. However, the science media have done their best to mislead about the work of real scientists, including National Academy of Sciences member Richard Lenski. We're all victims of that hype, including Hollywood moviemakers. Dismantling the hype about Lenski occupies biochemist Michael Behe for a significant part of his recent book, Darwin Devolves. Super-Challenges Not Super-Powers As Professor Behe explains in Science Uprising, the Long-Term Evolution Experiment conducted by Lenski has demonstrated not the creative power of unguided evolution but the occasional benefits of devolution, of breaking or disabling genes. That's the opposite lesson from the one drawn by media such as the New York Times in reporting on Lenski's efforts. “Think about it,” says the masked narrator of Science Uprising, against the backdrop of poignant images of people suffering from genetic illnesses, “significant mutations don't create superpowers. They create super-challenges. Sometimes those mutations are even life-threatening.” Check out some of our other videos: Information Enigma: Where does information come from? Information drives the development of life. But what is the source of that information? https://youtu.be/aA-FcnLsF1g Science Uprising Episode 1 - Reality: Real vs. Material Has science proven we are all just matter? Or does reality extend beyond what we can see and touch? https://youtu.be/Fv3c7DWuqpM Bijan Nemati: Rare Earth https://youtu.be/vn3YpOWCrc4 Check out other videos from this playlist: https://www.youtube.com/playlist?list... Subscribe to our channel: https://www.youtube.com/user/Discover...     Michael Denton Remarkable Coincidences in Photosynthesis -- ID The Future Podcast https://youtu.be/12i2RKct5RM Discovery Science On this episode of ID the Future, we listen in on a few minutes from a lecture given by CSC Senior Fellow Michael Denton. We've all heard of the importance of photosynthesis as an oxygen creating process. In this segment, Denton explains the “remarkable set of coincidences” which makes the creation of oxygen through photosynthesis possible. From the specific energy of visible light to the unique properties of water, this degree of improbability screams DESIGN. For more and to download this episode go to: https://www.discovery.org/multimedia/... For more on how the cosmos is designed for life, watch Discovery Institute's documentary Priviledged Species, featuring Michael Denton, at http://privilegedspecies.com/. The ID The Future (IDTF) podcast carries on Discovery Institute's mission of exploring the issues central to evolution and intelligent design. IDTF is a short podcast providing you with the most current news and views on evolution and ID. IDTF delivers brief interviews with key scientists and scholars developing the theory of ID, as well as insightful commentary from Discovery Institute senior fellows and staff on the scientific, educational and legal aspects of the debate. You've heard the hype, now learn the truth. Subscribe to the podcast Intelligent Design: The Future. Exploring issues central to the case for intelligent design from the Big Bang to the bacterial flagellum and beyond. https://itunes.apple.com/us/podcast/i... ============================ The Discovery Science News Channel is the official Youtube channel of Discovery Institute's Center for Science & Culture. The CSC is the institutional hub for scientists, educators, and inquiring minds who think that nature supplies compelling evidence of intelligent design. The CSC supports research, sponsors educational programs, defends free speech, and produce articles, books, and multimedia content. For more information visit https://www.discovery.org/id/ http://www.evolutionnews.org/ http://www.intelligentdesign.org/ Follow us on Facebook and Twitter: Twitter: @discoverycsc Facebook: https://www.facebook.com/discoverycsc/ Visit other Youtube channels connected to the Center for Science & Culture Discovery Institute: https://www.youtube.com/user/Discover... Dr. Stephen C. Meyer: https://www.youtube.com/user/DrStephe... The Magician's Twin - CS Lewis & Evolution: https://www.youtube.com/user/cslewisweb Darwin's Heretic - Alfred Russel Wallce: https://www.youtube.com/user/AlfredRW...  

In today's episode, we tackle a myth I didn't know about until recently: the claim by some that the Roman Emperor Constantine actually started the Catholic Church. --- Support this podcast: https://podcasters.spotify.com/pod/show/revisionisthistory/support

Grab your biglet and cuddle up with a new episode of LIVE! Nate's thermodynamic blanket has gone to the bedroom in the sky, so it's time to invent the next generation of blanket greatness. Pat makes a lava cake out of his head. Nate likes a good ball tangle between his legs. Matt is the only one who makes his bed. Plus, is there fat on a turtle? Is 100lbs too heavy for a weighted blanket? Why did Blub Blub go back to the store? All that and fifty shapes of triangle and it all happens LIVE!

Un podcast de cultura pop con periodistas, psiquiatras y vestidas. Hosted on Acast. See acast.com/privacy for more information.

Episode 324 – Marcus Vik of Invent Animate joins the show! We get into how he got to join the band after leaving his old project Aviana, writing and recording the new album, and the inspiration and meaning behind the lyrics. We also talk about the what it's like to live on a different continent than the rest of his band, since he is from (and lives in) Sweden when the rest of the members live In Texas. The new album “Heavener” out now everywhere! Are you a rock fan? Now is your chance to WIN unique classic rock items like Vintage Led Zeppelin tickets, Jimi Hendrix memorabilia and rare Rolling Stones prints! All you have to do is head over to legendsofrock.io and sign up with your email address! AND there's a lot more to come! No catch, just some very rare prizes to giveaway! Head over to legendsofrock.io for more info. This episode is brought to you by OPEN YOUR EARS RECORDS. Right now they are busy dropping absolute bangers like new material from Western Canada's The Burden. The new album "Terminal" is out now, giving you that epic post-hardcore sound that I KNOW you crave. Stream it everywhere and pick up the vinyl at OYErecs.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

durée : 00:25:13 - Le Feuilleton - Difficile d'inventer une nouvelle forme de lien une fois la relation amoureuse rompue. Ingeborg Bachmann et Paul Celan expérimentent l'amitié.

My name is Rainetta Jones, I was born in Port of Spain Trinidad and Tobago. I came to the United States at the age of 14 with my family. I attended Martin Luther King Jr. HS in Manhattan NYC. I would like to note that I do not have any memories of High School Lunch Break for three years. I graduated at 17 years of age and attended University of Buffalo. My tenure at UB was short lived due to serious neurological anomalies which I later learned was “Brain Scrambling Technologies. While at UB I wanted to pursue a degree in Micro and Molecular Biology; however, that didn't pan out. After Buffalo, I attended Sheffield University in England as a study abroad student. Upon returning to the US, I took time off to Invent, Model, and Dance. In 2000 I had a meeting with a “friend” about my two inventions, the iPod and Kindle and also a novel conceptual hosiery design. All of which were stolen. Later on I learned he had connections to Steve Jobs and was invited by him to the launch of iTunes in Cupertino California. After that meeting I was followed by a Russian Jew who befriended me. He invited me to go to England a couple of days after September 11th, 2001. It wasn't until 2016, I was told that both David and Yuri were Mossad agents and that they had to get me out of the US for the launch of the iPod. I later became a Certified Administrative Professional and worked at the United Nations and several other Government agencies in NYC. In 2019 I graduated from Empire State College in Business Administration. I have no memories of a Secret Space Program however, I do know that my life has been filled with extraterrestrial experiences. After graduation I created the Micro- Business Model using business concepts on a micro-scale for those who would like to start a business with very little money. Today I do spiritual consultations and teach online classes once a month. My website is Blacksonrise.com https://www.youtube.com/@blacksonrisenews3530 for more typical skeptic podcast interviews go to: youtube.com/@typicalskeptic anchor.fm/typical-skeptic rokfin.com/typicalskeptic rumble.com/typicalskeptic https://odysee.com/@typicalskeptic:3 if you found this content beneficial please consider donating: buymeacoffee.com/typicalskeptic Paypal me @typicalskepticmedia Or maybe Join the Patreon for bonus content New Unreleased shows every week for less than a cup of coffee: Help me keep making videos! patreon.com/typicalskeptic Affiliates: Tachyon Living - tachyonliving.com/rob.html and use code skeptic free gift for a free gift -Book a reading with Debra Moffit Intuitive readings:Use Code TSP2023 https://www.debramoffitt.com?cc=STP2023 -Natural Shilajit and Monoatomic Gold from Healthy Nutrition LLC.use code: ROB And my affiliate link to share: https://glnk.io/77v6/3 -Starseed Activators https://www.indigoangel222.com/starse... Coupon Code TypicalSkepticP #ancient #mysteries #HollowEarth #Ufology #uap #podcast #typical_skeptic #youtubelive #voodoo #hoodoo #cryptid --- Send in a voice message: https://podcasters.spotify.com/pod/show/typical-skeptic/message Support this podcast: https://podcasters.spotify.com/pod/show/typical-skeptic/support

Spring is high season for ticks, and Virginia has 17 different kinds. Because they can carry Lyme disease, Rocky Mountain Spotted Fever and other dangerous conditions, the engineering department at the Virginia Military Institute has declared war on the bugs – using a robot to do battle.  Sandy Hausman has that story.

Join us as Jeremiah Young presents our Sunday evening message.

Si ces manèges à sensation portent ce nom de "montagnes russes", c'est en référence à l'Impératrice Catherine II de Russie. À l'origine, ces attractions, inventées en 1865 par le businessman LaMarcus Thompson, n'avaient pas pour but de divertir. Elles avaient un but religieux... Découvrez la page Facebook Officielle des "Grosses Têtes" : https://www.facebook.com/lesgrossestetesrtl/ Retrouvez vos "Grosses Têtes" sur Instagram : https://bit.ly/2hSBiAo Découvrez le compte Twitter Officiel des "Grosses Têtes" : https://bit.ly/2PXSkkz Toutes les vidéos des "Grosses Têtes" sont sur YouTube : https://bit.ly/2DdUyGg

durée : 00:25:13 - Le Feuilleton - Difficile d'inventer une nouvelle forme de lien une fois la relation amoureuse rompue. Ingeborg Bachmann et Paul Celan expérimentent l'amitié.

In this exhilarating episode, join Dave and special co-host Viktoria Semaan, Senior Developer Advocate from AWS Developer Relations, as they reconnect with Doug Clauson, Principal Product Manager Technical for AWS Developer Tools, and Harry Mower, GM for AWS DevOps Tools at AWS. Get the inside scoop on the highly anticipated General Availability launch of Amazon CodeCatalyst! Amazon CodeCatalyst is a groundbreaking software development and delivery service that empowers development teams to rapidly plan, create, collaborate, build, and deploy applications on AWS, streamlining the development lifecycle. Doug and Harry offer an exclusive look into the journey since the developer preview at re:Invent last year, highlighting invaluable community feedback, the intricate mechanics of developer environments, and the innovative blueprints feature. Get a glimpse into the future as our guests reveal what they have in store for the next release of Amazon CodeCatalyst and be inspired by the minds minds behind this game-changing service! Harry on LinkedIn: https://www.linkedin.com/in/harrymower/ Doug on LinkedIn: https://www.linkedin.com/in/doug-clauson/ Viktoria on Instagram: https://www.instagram.com/viktoria.semaan Viktoria on LinkedIn: https://www.linkedin.com/in/semaan/ Sign up for Code Catalyst Here - https://codecatalyst.aws/explore Code Catalyst Resource Page - https://codecatalyst.aws/explore/resources A Quokka! - https://awsdeveloperspodcast.s3.amazonaws.com/Quokka.jpg [PODCAST] Episode 061 – Announcing Amazon CodeCatalyst with Harry Mower and Doug Clauson - https://open.spotify.com/episode/0qbQQ8MX5I2IZr57ir5wOd [VIDEO] 5 steps to Build a Modern 3-Tier Web App Using a Blueprint from a New Service Called Amazon CodeCatalyst – Linda Haviv on Tik Tok - https://www.tiktok.com/@lindavivah/video/7203428249194745134 [YOUTUBE] AWS re:Invent 2022 - Introducing Amazon CodeCatalyst (DOP206-R) - https://youtu.be/mKdGehrUYFI [WORKSHOP] Amazon CodeCatalyst Workshop - https://bit.ly/awscchandson Subscribe: Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Stitcher: https://www.stitcher.com/show/1065378 Pandora: https://www.pandora.com/podcast/aws-developers-podcast/PC:1001065378 TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz RSS Feed: https://feeds.soundcloud.com/users/soundcloud:users:994363549/sounds.rss

Si ces manèges à sensation portent ce nom de "montagnes russes", c'est en référence à l'Impératrice Catherine II de Russie. À l'origine, ces attractions, inventées en 1865 par le businessman LaMarcus Thompson, n'avaient pas pour but de divertir. Elles avaient un but religieux... Dans "Ah Ouais ?", Florian Gazan répond en une minute chrono à toutes les questions essentielles, existentielles, parfois complètement absurdes, qui vous traversent la tête. Un podcast RTL Originals.

James Dyson is a renowned British inventor, entrepreneur, and founder of the Dyson company. He is best known for inventing the bagless vacuum cleaner and has since expanded his company to manufacture other household appliances, including fans, heaters, and hair dryers. Some of the main lessons that can be learned from James Dyson are: Failure can lead to success: Dyson created over 5,000 prototypes before developing the first bagless vacuum cleaner. He believed in his idea and persisted even in the face of failure. This persistence paid off, as his vacuum cleaner design became a huge commercial success. Innovation requires risk-taking: Dyson was willing to take risks and challenge conventional thinking. He was unsatisfied with the existing vacuum cleaner designs and created something new. This willingness to take risks and think outside the box has allowed Dyson to innovate and create new products. Continuous improvement is essential: Dyson believes in continuously improving its products. He invests heavily in research and development to ensure his products constantly evolve and improve. This dedication to continuous improvement has helped Dyson stay at the forefront of the market. Focus on design: Dyson places a strong emphasis on design. He believes that products should not only be functional but also aesthetically pleasing. This design focus has helped Dyson create products that work well and look good. Believe in yourself: Dyson faced a lot of rejection and criticism before he became successful. However, he remained confident in his abilities and his ideas. This self-belief allowed him to keep pushing forward and eventually achieve success. James Dyson's success can be attributed to his persistence, risk-taking, continuous improvement, design focus, and self-belief.RUNSHEETINTROJames Dyson and his family reflect on how the journey to innovation takes timeSee things through (1m56)INSPIRATION AND PERSEVERANCEJames Dyson and the creation of the BallBarrow leading him to the vacuumProgress comes from small improvements (1m06)COURAGE IN THE DYSON BUSINESSJames Dyson speaks about the Dyson business' approach to engineeringProblem-solving (53s)James Dyson and the importance of prototypesEmbrace and track failures (3m39)OUTROJames Dyson and his family discuss the bravery that comes with building the businessTrust your instincts (1m51) ★ Support this podcast on Patreon ★

Bhagwan Mahaveer Viklang Sahayata Samiti (BMVSS) is an Indian nonprofit famous for creating low-cost prosthetics, like the Jaipur Foot and the Stanford-Jaipur Knee. Known for its patient-centric culture and its focus on innovation, BMVSS has assisted more than one million people, including many land mine survivors. How can founder D.R. Mehta devise a strategy that will ensure the financial sustainability of BMVSS while sustaining its human impact well into the future?

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan and Matthew are your hosts this week as we discuss all the latest news and announcements in the world of the cloud and AI. Do people really love Matt's Azure know-how? Can Google make Bard fit into literally everything they make? What's the latest with Azure AI and their space collaborations? Let's find out! Titles we almost went with this week: Clouds in Space, Fictional Realms of Oracles, Oh My.  The cloudpod streams lambda to the cloud A big thanks to this week's sponsor:  Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

Jean Yang, CEO of Akita Software, joins Corey on Screaming in the Cloud to discuss how she went from academia to tech founder, and what her company is doing to improve monitoring and observability. Jean explains why Akita is different from other observability & monitoring solutions, and how it bridges the gap from what people know they should be doing and what they actually do in practice. Corey and Jean explore why the monitoring and observability space has been so broken, and why it's important for people to see monitoring as a chore and not a hobby. Jean also reveals how she took a leap from being an academic professor to founding a tech start-up. About JeanJean Yang is the founder and CEO of Akita Software, providing the fastest time-to-value for API monitoring. Jean was previously a tenure-track professor in Computer Science at Carnegie Mellon University.Links Referenced: Akita Software: https://www.akitasoftware.com/ Aki the dog chatbot: https://www.akitasoftware.com/blog-posts/we-built-an-exceedingly-polite-ai-dog-that-answers-questions-about-your-apis Twitter: https://twitter.com/jeanqasaur 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. My guest today is someone whose company has… well, let's just say that it has piqued my interest. Jean Yang is the CEO of Akita Software and not only is it named after a breed of dog, which frankly, Amazon service namers could take a lot of lessons from, but it also tends to approach observability slash monitoring from a perspective of solving the problem rather than preaching a new orthodoxy. Jean, thank you for joining me.Jean: Thank you for having me. Very excited.Corey: In the world that we tend to operate in, there are so many different observability tools, and as best I can determine observability is hipster monitoring. Well, if we call it monitoring, we can't charge you quite as much money for it. And whenever you go into any environment of significant scale, we pretty quickly discover that, “What monitoring tool are you using?” The answer is, “Here are the 15 that we use.” Then you talk to other monitoring and observability companies and ask them which ones of those they've replace, and the answer becomes, “We're number 16.” Which is less compelling of a pitch than you might expect. What does Akita do? Where do you folks start and stop?Jean: We want to be—at Akita—your first stop for monitoring and we want to be all of the monitoring, you need up to a certain level. And here's the motivation. So, we've talked with hundreds, if not thousands, of software teams over the last few years and what we found is there is such a gap between best practice, what people think everybody else is doing, what people are talking about at conferences, and what's actually happening in software teams. And so, what software teams have told me over and over again, is, hey, we either don't actually use very many tools at all, or we use 15 tools in name, but it's you know, one [laugh] one person on the team set this one up, it's monitoring one of our endpoints, we don't even know which one sometimes. Who knows what the thresholds are really supposed to be. We got too many alerts one day, we turned it off.But there's very much a gap between what people are saying they're supposed to do, what people in their heads say they're going to do next quarter or the quarter after that and what's really happening in practice. And what we saw was teams are falling more and more into monitoring debt. And so effectively, their customers are becoming their monitoring and it's getting harder to catch up. And so, what Akita does is we're the fastest, easiest way for teams to quickly see what endpoints you have in your system—so that's API endpoints—what's slow and what's throwing errors. And you might wonder, okay, wait, wait, wait, Jean. Monitoring is usually about, like, logs, metrics, and traces. I'm not used to hearing about API—like, what do APIs have to do with any of it?And my view is, look, we want the most simple form of what might be wrong with your system, we want a developer to be able to get started without having to change any code, make any annotations, drop in any libraries. APIs are something you can watch from the outside of a system. And when it comes to which alerts actually matter, where do you want errors to be alerts, where do you want thresholds to really matter, my view is, look, the places where your system interfaces with another system are probably where you want to start if you've really gotten nothing. And so, Akita view is, we're going to start from the outside in on this monitoring. We're turning a lot of the views on monitoring and observability on its head and we just want to be the tool that you reach for if you've got nothing, it's middle of the night, you have alerts on some endpoint, and you don't want to spend a few hours or weeks setting up some other tool. And we also want to be able to grow with you up until you need that power tool that many of the existing solutions out there are today.Corey: It feels like monitoring is very often one of those reactive things. I come from the infrastructure world, so you start off with, “What do you use for monitoring?” “Oh, we wait till the help desk calls us and users are reporting a problem.” Okay, that gets you somewhere. And then it becomes oh, well, what was wrong that time? The drive filled up. Okay, so we're going to build checks in that tell us when the drives are filling up.And you wind up trying to enumerate all of the different badness. And as a result, if you leave that to its logical conclusion, one of the stories that I heard out of MySpace once upon a time—which dates me somewhat—is that you would have a shift, so there were three shifts working around the clock, and each one would open about 5000 tickets, give or take, for the monitoring alerts that wound up firing off throughout their infrastructure. At that point, it's almost, why bother? Because no one is going to be around to triage these things; no one is going to see any of the signal buried and all of that noise. When you talk about doing this for an API perspective, are you running synthetics against those APIs? Are you shimming them in order to see what's passing through them? What's the implementation side look like?Jean: Yeah, that's a great question. So, we're using a technology called BPF, Berkeley Packet Filter. The more trendy, buzzy term is EBPF—Corey: The EBPF. Oh yes.Jean: Yeah, Extended Berkeley Packet Filter. But here's the secret, we only use the BPF part. It's actually a little easier for users to install. The E part is, you know, fancy and often finicky. But um—Corey: SEBPF then: Shortened Extended BPF. Why not?Jean: [laugh]. Yeah. And what BPF allows us to do is passively watch traffic from the outside of a system. So, think of it as you're sending API calls across the network. We're just watching that network. We're not in the path of that traffic. So, we're not intercepting the traffic in any way, we're not creating any additional overhead for the traffic, we're not slowing it down in any way. We're just sitting on the side, we're watching all of it, and then we're taking that and shipping an obfuscated version off to our cloud, and then we're giving you analytics on that.Corey: One of the things that strikes me as being… I guess, a common trope is there are a bunch of observability solutions out there that offer this sort of insight into what's going on within an environment, but it's, “Step one: instrument with some SDK or some agent across everything. Do an entire deploy across your fleet.” Which yeah, people are not generally going to be in a hurry to sign up for. And further, you also said a minute ago that the idea being that someone could start using this in the middle of the night in the middle of an outage, which tells me that it's not, “Step one: get the infrastructure sparkling. Step two: do a global deploy to everything.” How do you go about doing that? What is the level of embeddedness into the environment?Jean: Yeah, that's a great question. So, the reason we chose BPF is I wanted a completely black-box solution. So, no SDKs, no code annotations. I wanted people to be able to change a config file and have our solution apply to anything that's on the system. So, you could add routes, you could do all kinds of things. I wanted there to be no additional work on the part of the developer when that happened.And so, we're not the only solution that uses BPF or EBPF. There's many other solutions that say, “Hey, just drop us in. We'll let you do anything you want.” The big difference is what happens with the traffic once it gets processed. So, what EBPF or BPF gives you is it watches everything about your system. And so, you can imagine that's a lot of different events. That's a lot of things.If you're trying to fix an incident in the middle of the night and someone just dumps on you 1000 pages of logs, like, what are you going to do with that? And so, our view is, the more interesting and important and valuable thing to do here is not make it so that you just have the ability to watch everything about your system but to make it so that developers don't have to sift through thousands of events just to figure out what went wrong. So, we've spent years building algorithms to automatically analyze these API events to figure out, first of all, what are your endpoints? Because it's one thing to turn on something like Wireshark and just say, okay, here are the thousand API calls, I saw—ten thousand—but it's another thing to say, “Hey, 500 of those were actually the same endpoint and 300 of those had errors.” That's quite a hard problem.And before us, it turns out that there was no other solution that even did that to the level of being able to compile together, “Here are all the slow calls to an endpoint,” or, “Here are all of the erroneous calls to an endpoint.” That was blood, sweat, and tears of developers in the night before. And so, that's the first major thing we do. And then metrics on top of that. So, today we have what's slow, what's throwing errors. People have asked us for other things like show me what happened after I deployed. Show me what's going on this week versus last week. But now that we have this data set, you can imagine there's all kinds of questions we can now start answering much more quickly on top of it.Corey: One thing that strikes me about your site is that when I go to akitasoftware.com, you've got a shout-out section at the top. And because I've been doing this long enough where I find that, yeah, you work at a company; you're going to say all kinds of wonderful, amazing aspirational things about it, and basically because I have deep-seated personality disorders, I will make fun of those things as my default reflexive reaction. But something that AWS, for example, does very well is when they announce something ridiculous on stage at re:Invent, I make fun of it, as is normal, but then they have a customer come up and say, “And here's the expensive, painful problem that they solved for us.”And that's where I shut up and start listening. Because it's a very different story to get someone else, who is presumably not being paid, to get on stage and say, “Yeah, this solved a sophisticated, painful problem.” Your shout-outs page has not just a laundry list of people saying great things about it, but there are former folks who have been on the show here, people I know and trust: Scott Johnson over at Docker, Gergely Orosz over at The Pragmatic Engineer, and other folks who have been luminaries in the space for a while. These are not the sort of people that are going to say, “Oh, sure. Why not? Oh, you're going to send me a $50 gift card in a Twitter DM? Sure I'll say nice things,” like it's one of those respond to a viral tweet spamming something nonsense. These are people who have gravitas. It's clear that there's something you're building that is resonating.Jean: Yeah. And for that, they found us. Everyone that I've tried to bribe to say good things about us actually [laugh] refused.Corey: Oh, yeah. As it turns out that it's one of those things where people are more expensive than you might think. It's like, “What, you want me to sell my credibility down the road?” Doesn't work super well. But there's something like the unsolicited testimonials that come out of, this is amazing, once people start kicking the tires on it.You're currently in open beta. So, I guess my big question for you is, whenever you see a product that says, “Oh, yeah, we solve everything cloud, on-prem, on physical instances, on virtual machines, on Docker, on serverless, everything across the board. It's awesome.” I have some skepticism on that. What is your ideal application architecture that Akita works best on? And what sort of things are you a complete nonstarter for?Jean: Yeah, I'll start with a couple of things we work well on. So, container platforms. We work relatively well. So, that's your Fargate, that's your Azure Web Apps. But that, you know, things running, we call them container platforms. Kubernetes is also something that a lot of our users have picked us up and had success with us on. I will say our Kubernetes deploy is not as smooth as we would like. We say, you know, you can install us—Corey: Well, that is Kubernetes, yes.Jean: [laugh]. Yeah.Corey: Nothing in Kubernetes is as smooth as we would like.Jean: Yeah, so we're actually rolling out Kubernetes injection support in the next couple of weeks. So, those are the two that people have had the most success on. If you're running on bare metal or on a VM, we work, but I will say that you have to know your way around a little bit to get that to work. What we don't work on is any Platform as a Service. So, like, a Heroku, a Lambda, a Render at the moment. So those, we haven't found a way to passively listen to the network traffic in a good way right now.And we also work best for unencrypted HTTP REST traffic. So, if you have encrypted traffic, it's not a non-starter, but you need to fall into a couple of categories. You either need to be using Kubernetes, you can run Akita as a sidecar, or you're using Nginx. And so, that's something we're still expanding support on. And we do not support GraphQL or GRPC at the moment.Corey: That's okay. Neither do I. It does seem these days that unencrypted HTTP API calls are increasingly becoming something of a relic, where folks are treating those as anti-patterns to be stamped out ruthlessly. Are you still seeing significant deployments of unencrypted APIs?Jean: Yeah. [laugh]. So, Corey—Corey: That is the reality, yes.Jean: That's a really good question, Corey, because in the beginning, we weren't sure what we wanted to focus on. And I'm not saying the whole deployment is unencrypted HTTP, but there is a place to install Akita to watch where it's unencrypted HTTP. And so, this is what I mean by if you have encrypted traffic, but you can install Akita as a Kubernetes sidecar, we can still watch that. But there was a big question when we started: should this be GraphQL, GRPC, or should it be REST? And I read the “State of the API Report” from Postman for you know, five years, and I still keep up with it.And every year, it seemed that not only was REST, remaining dominant, it was actually growing. So, [laugh] this was shocking to me as well because people said, well, “We have this more structured stuff, now. There's GRPC, there's GraphQL.” But it seems that for the added complexity, people weren't necessarily seeing the value and so, REST continues to dominate. And I've actually even seen a decline in GraphQL since we first started doing this. So, I'm fully on board the REST wagon. And in terms of encrypted versus unencrypted, I would also like to see more encryption as well. That's why we're working on burning down the long tail of support for that.Corey: Yeah, it's one of those challenges. Whenever you're deploying something relatively new, there's this idea that it should be forward-looking and you, on some level, want to modernize your architecture and infrastructure to keep up with it. An AWS integration story I see that's like that these days is, “Oh, yeah, generate an IAM credential set and just upload those into our system.” Yeah, the modern way of doing that is role assumption: to find a role and here's how to configure it so that it can do what we need to do. So, whenever you start seeing things that are, “Oh, yeah, just turn the security clock back in time a little bit,” that's always a little bit of an eyebrow raise.I can also definitely empathize with the joys of dealing with anything that even touches networking in a Lambda context. Building the Lambda extension for Tailscale was one of the last big dives I made into that area and I still have nightmares as a result. It does a lot of interesting things right up until you step off the golden path. And then suddenly, everything becomes yaks all the way down, in desperate need of shaving.Jean: Yeah, Lambda does something we want to handle on our roadmap, but I… believe we need a bigger team before [laugh] we are ready to tackle that.Corey: Yeah, we're going to need a bigger boat is very often [laugh] the story people have when they start looking at entire new architectural paradigms. So, you end up talking about working in containerized environments. Do you find that most of your deployments are living in cloud environments, in private data centers, some people call them private cloud. Where does the bulk of your user applications tend to live these days?Jean: The bulk of our user applications are in the cloud. So, we're targeting small to medium businesses to start. The reason being, we want to give our users a magical deployment experience. So, right now, a lot of our users are deploying in under 30 minutes. That's in no small part due to automations that we've built.And so, we initially made the strategic decision to focus on places where we get the most visibility. And so—where one, we get the most visibility, and two, we are ready for that level of scale. So, we found that, you know, for a large business, we've run inside some of their production environments and there are API calls that we don't yet handle well or it's just such a large number of calls, we're not doing the inference as well and our algorithms don't work as well. And so, we've made the decision to start small, build our way up, and start in places where we can just aggressively iterate because we can see everything that's going on. And so, we've stayed away, for instance, from any on-prem deployments for that reason because then we can't see everything that's going on. And so, smaller companies that are okay with us watching pretty much everything they're doing has been where we started. And now we're moving up into the medium-sized businesses.Corey: The challenge that I guess I'm still trying to wrap my head around is, I think that it takes someone with a particularly rosy set of glasses on to look at the current state of monitoring and observability and say that it's not profoundly broken in a whole bunch of ways. Now, where it all falls apart, Tower of Babelesque, is that there doesn't seem to be consensus on where exactly it's broken. Where do you see, I guess, this coming apart at the seams?Jean: I agree, it's broken. And so, if I tap into my background, which is I was a programming languages person in my very recently, previous life, programming languages people like to say the problem and the solution is all lies in abstraction. And so, computing is all about building abstractions on top of what you have now so that you don't have to deal with so many details and you got to think at a higher level; you're free of the shackles of so many low-level details. What I see is that today, monitoring and observability is a sort of abstraction nightmare. People have just taken it as gospel that you need to live at the lowest level of abstraction possible the same way that people truly believe that assembly code was the way everybody was going to program forevermore back, you know, 50 years ago.So today, what's happening is that when people think monitoring, they think logs, not what's wrong with my system, what do I need to pay attention to? They think, “I have to log everything, I have to consume all those logs, we're just operating at the level of logs.” And that's not wrong because there haven't been any tools that have given people any help above the level of logs. Although that's not entirely correct, you know? There's also events and there's also traces, but I wouldn't say that's actually lifting the level of [laugh] abstraction very much either.And so, people today are thinking about monitoring and observability as this full control, like, I'm driving my, like, race car, completely manual transmission, I want to feel everything. And not everyone wants to or needs to do that to get to where they need to go. And so, my question is, how far are can we lift the level of abstraction for monitoring and observability? I don't believe that other people are really asking this question because most of the other players in the space, they're asking what else can we monitor? Where else can we monitor it? How much faster can we do it? Or how much more detail can we give the people who really want the power tools?But the people entering the buyer's market with needs, they're not people—you don't have, like, you know, hordes of people who need more powerful tools. You have people who don't know about the systems are dealing with and they want easier. They want to figure out if there's anything wrong with our system so they can get off work and do other things with their lives.Corey: That, I think, is probably the thing that gets overlooked the most. It's people don't tend to log into their monitoring systems very often. They don't want to. When they do, it's always out of hours, middle of the night, and they're confronted with a whole bunch of upsell dialogs of, “Hey, it's been a while. You want to go on a tour of the new interface?”Meanwhile, anything with half a brain can see there's a giant spike on the graph or telemetry stop coming in.Jean: Yeah.Corey: It's way outside of normal business hours where this person is and maybe they're not going to be in the best mood to engage with your brand.Jean: Yeah. Right now, I think a lot of the problem is, you're either working with monitoring because you're desperate, you're in the middle of an active incident, or you're a monitoring fanatic. And there isn't a lot in between. So, there's a tweet that someone in my network tweeted me that I really liked which is, “Monitoring should be a chore, not a hobby.” And right now, it's either a hobby or an urgent necessity [laugh].And when it gets to the point—so you know, if we think about doing dishes this way, it would be as if, like, only, like, the dish fanatics did dishes, or, like, you will just have piles of dishes, like, all over the place and raccoons and no dishes left, and then you're, like, “Ah, time to do a thing.” But there should be something in between where there's a defined set of things that people can do on a regular basis to keep up with what they're doing. It should be accessible to everyone on the team, not just a couple of people who are true fanatics. No offense to the people out there, I love you guys, you're the ones who are really helping us build our tool the most, but you know, there's got to be a world in which more people are able to do the things you do.Corey: That's part of the challenge is bringing a lot of the fire down from Mount Olympus to the rest of humanity, where at some level, Prometheus was a great name from that—Jean: Yep [laugh].Corey: Just from that perspective because you basically need to be at that level of insight. I think Kubernetes suffers from the same overall problem where it is not reasonably responsible to run a Kubernetes production cluster without some people who really know what's going on. That's rapidly changing, which is for the better, because most companies are not going to be able to afford a multimillion-dollar team of operators who know the ins and outs of these incredibly complex systems. It has to become more accessible and simpler. And we have an entire near century at this point of watching abstractions get more and more and more complex and then collapsing down in this particular field. And I think that we're overdue for that correction in a lot of the modern infrastructure, tooling, and approaches that we take.Jean: I agree. It hasn't happened yet in monitoring and observability. It's happened in coding, it's happened in infrastructure, it's happened in APIs, but all of that has made it so that it's easier to get into monitoring debt. And it just hasn't happened yet for anything that's more reactive and more about understanding what the system is that you have.Corey: You mentioned specifically that your background was in programming languages. That's understating it slightly. You were a tenure-track professor of computer science at Carnegie Mellon before entering industry. How tied to what your area of academic speciality was, is what you're now at Akita?Jean: That's a great question and there are two answers to that. The first is very not tied. If it were tied, I would have stayed in my very cushy, highly [laugh] competitive job that I worked for years to get, to do stuff there. And so like, what we're doing now is comes out of thousands of conversations with developers and desire to build on the ground tools that I'm—there's some technically interesting parts to it, for sure. I think that our technical innovation is our moat, but is it at the level of publishable papers? Publishable papers are a very narrow thing; I wouldn't be able to say yes to that question.On the other hand, everything that I was trained to do was about identifying a problem and coming up with an out-of-the-box solution for it. And especially in programming languages research, it's really about abstractions. It's really about, you know, taking a set of patterns that you see of problems people have, coming up with the right abstractions to solve that problem, evaluating your solution, and then, you know, prototyping that out and building on top of it. And so, in that case, you know, we identified, hey, people have a huge gap when it comes to monitoring and observability. I framed it as an abstraction problem, how can we lift it up?We saw APIs as this is a great level to build a new level of solution. And our solution, it's innovative, but it also solves the problem. And to me, that's the most important thing. Our solution didn't need to be innovative. If you're operating in an academic setting, it's really about… producing a new idea. It doesn't actually [laugh]—I like to believe that all endeavors really have one main goal, and in academia, the main goal is producing something new. And to me, building a product is about solving a problem and our main endeavor was really to solve a real problem here.Corey: I think that it is, in many cases, useful when we start seeing a lot of, I guess, overflow back and forth between academia and industry, in both directions. I think that it is doing academia a disservice when you start looking at it purely as pure theory, and oh yeah, they don't deal with any of the vocational stuff. Conversely, I think the idea that industry doesn't have anything to learn from academia is dramatically misunderstanding the way the world works. The idea of watching some of that ebb and flow and crossover between them is neat to see.Jean: Yeah, I agree. I think there's a lot of academics I super respect and admire who have done great things that are useful in industry. And it's really about, I think, what you want your main goal to be at the time. Is it, do you want to be optimizing for new ideas or contributing, like, a full solution to a problem at the time? But it's there's a lot of overlap in the skills you need.Corey: One last topic I'd like to dive into before we call it an episode is that there's an awful lot of hype around a variety of different things. And right now in this moment, AI seems to be one of those areas that is getting an awful lot of attention. It's clear too there's something of value there—unlike blockchain, which has struggled to identify anything that was not fraud as a value proposition for the last decade-and-a-half—but it's clear that AI is offering value already. You have recently, as of this recording, released an AI chatbot, which, okay, great. But what piques my interest is one, it's a dog, which… germane to my interest, by all means, and two, it is marketed as, and I quote, “Exceedingly polite.”Jean: [laugh].Corey: Manners are important. Tell me about this pupper.Jean: Yeah, this dog came really out of four or five days of one of our engineers experimenting with ChatGPT. So, for a little bit of background, I'll just say that I have been excited about the this latest wave of AI since the beginning. So, I think at the very beginning, a lot of dev tools people were skeptical of GitHub Copilot; there was a lot of controversy around GitHub Copilot. I was very early. And I think all the Copilot people retweeted me because I was just their earlies—like, one of their earliest fans. I was like, “This is the coolest thing I've seen.”I've actually spent the decade before making fun of AI-based [laugh] programming. But there were two things about GitHub Copilot that made my jaw drop. And that's related to your question. So, for a little bit of background, I did my PhD in a group focused on program synthesis. So, it was really about, how can we automatically generate programs from a variety of means? From constraints—Corey: Like copying and pasting off a Stack Overflow, or—Jean: Well, the—I mean, that actually one of the projects that my group was literally applying machine-learning to terabytes of other example programs to generate new programs. So, it was very similar to GitHub Copilot before GitHub Copilot. It was synthesizing API calls from analyzing terabytes of other API calls. And the thing that I had always been uncomfortable with these machine-learning approaches in my group was, they were in the compiler loop. So, it was, you know, you wrote some code, the compiler did some AI, and then it spit back out some code that, you know, like you just ran.And so, that never sat well with me. I always said, “Well, I don't really see how this is going to be practical,” because people can't just run random code that you basically got off the internet. And so, what really excited me about GitHub Copilot was the fact that it was in the editor loop. I was like, “Oh, my God.”Corey: It had the context. It was right there. You didn't have to go tabbing to something else.Jean: Exactly.Corey: Oh, yeah. I'm in the same boat. I think it is basically—I've seen the future unfolding before my eyes.Jean: Yeah. Was the autocomplete thing. And to me, that was the missing piece. Because in your editor, you always read your code before you go off and—you know, like, you read your code, whoever code reviews your code reads your code. There's always at least, you know, two pairs of eyes, at least theoretically, reading your code.So, that was one thing that was jaw-dropping to me. That was the revelation of Copilot. And then the other thing was that it was marketed not as, “We write your code for you,” but the whole Copilot marketing was that, you know, it kind of helps you with boilerplate. And to me, I had been obsessed with this idea of how can you help developers write less boilerplate for years. And so, this AI-supported boilerplate copiloting was very exciting to me.And I saw that is very much the beginning of a new era, where, yes, there's tons of data on how we should be programming. I mean, all of Akita is based on the fact that we should be mining all the data we have about how your system and your code is operating to help you do stuff better. And so, to me, you know, Copilot is very much in that same philosophy. But our AI chatbot is, you know, just a next step along this progression. Because for us, you know, we collect all this data about your API behavior; we have been using non-AI methods to analyze this data and show it to you.And what ChatGPT allowed us to do in less than a week was analyze this data using very powerful large-language models and I have this conversational interface that both gives you the opportunity to check over and follow up on the question so that what you're spitting out—so what we're spitting out as Aki the dog doesn't have to be a hundred percent correct. But to me, the fact that Aki is exceedingly polite and kind of goofy—he, you know, randomly woofs and says a lot of things about how he's a dog—it's the right level of seriousness so that it's not messaging, hey, this is the end all, be all, the way, you know, the compiler loop never sat well with me because I just felt deeply uncomfortable that an AI was having that level of authority in a system, but a friendly dog that shows up and tells you some things that you can ask some additional questions to, no one's going to take him that seriously. But if he says something useful, you're going to listen. And so, I was really excited about the way this was set up. Because I mean, I believe that AI should be a collaborator and it should be a collaborator that you never take with full authority. And so, the chat and the politeness covered those two parts for me both.Corey: Yeah, on some level, I can't shake the feeling that it's still very early days there for Chat-Gipity—yes, that's how I pronounce it—and it's brethren as far as redefining, on some level, what's possible. I think that it's in many cases being overhyped, but it's solving an awful lot of the… the boilerplate, the stuff that is challenging. A question I have, though, is that, as a former professor, a concern that I have is when students are using this, it's less to do with the fact that they're not—they're taking shortcuts that weren't available to me and wanting to make them suffer, but rather, it's, on some level, if you use it to write your English papers, for example. Okay, great, it gets the boring essay you don't want to write out of the way, but the reason you write those things is it teaches you to form a story, to tell a narrative, to structure an argument, and I think that letting the computer do those things, on some level, has the potential to weaken us across the board. Where do you stand on it, given that you see both sides of that particular snake?Jean: So, here's a devil's advocate sort of response to it, is that maybe the writing [laugh] was never the important part. And it's, as you say, telling the story was the important part. And so, what better way to distill that out than the prompt engineering piece of it? Because if you knew that you could always get someone to flesh out your story for you, then it really comes down to, you know, I want to tell a story with these five main points. And in some way, you could see this as a playing field leveler.You know, I think that as a—English is actually not my first language. I spent a lot of time editing my parents writing for their work when I was a kid. And something I always felt really strongly about was not discriminating against people because they can't form sentences or they don't have the right idioms. And I actually spent a lot of time proofreading my friends' emails when I was in grad school for the non-native English speakers. And so, one way you could see this as, look, people who are not insiders now are on the same playing field. They just have to be clear thinkers.Corey: That is a fascinating take. I think I'm going to have to—I'm going to have to ruminate on that one. I really want to thank you for taking the time to speak with me today about what you're up to. If people want to learn more, where's the best place for them to find you?Jean: Well, I'm always on Twitter, still [laugh]. I'm @jeanqasaur—J-E-A-N-Q-A-S-A-U-R. And there's a chat dialog on akitasoftware.com. I [laugh] personally oversee a lot of that chat, so if you ever want to find me, that is a place, you know, where all messages will get back to me somehow.Corey: And we will, of course, put a link to that into the [show notes 00:35:01]. Thank you so much for your time. I appreciate it.Jean: Thank you, Corey.Corey: Jean Yang, CEO at Akita Software. 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 angry insulting comment that you will then, of course, proceed to copy to the other 17 podcast tools that you use, just like you do your observability monitoring suite.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.

There is a  story that has been popping up in all my news feeds for several months.  Evidently, there are scientists who are convinced it is extremely likely that we are actually living in a computer generated simulation - and they think they can prove it. This podcast episode explains the theory, names some scientists who believe it, and then discusses what this has to do with question of belief.   ———————————————————————————————————————. Have a spiritual, theological, or religious question you would like me to tackle?Contact me via email:    Dan@sSkyPilot.zoneAnd be sure to check me out on Facebook: https://www.facebook.com/SkyPilotFaithQuest...........................................................................................Music: Composed for SkyPilot: Faith Quest by Arlan Sunnarborg

What I learned from reading Make Something Wonderful: Steve Jobs in his own words.This episode is brought to you by Tiny: Tiny is the easiest way to sell your business. Tiny provides quick and straightforward exits for Founders.  ----This episode is brought to you by Meter: Meter is the easiest way for your business to get fast, secure, and reliable internet and WiFi in any commercial space. Go to meter.com/founders ----Follow one of my favorite podcasts Invest Like The Best and listen to episode 293 David Senra: Passion and Pain ----[3:48] He gave an extraordinary amount of thought to how best to use our fleeting time.[4:24] He imagined what reality lacked and set out to remedy it.[7:27] Steve Jobs: The Lost Interview Video and My Notes.[10:02] Edwin Land episodes:Instant: The Story of Polaroid by Christopher Bonanos. (Founders #264)Land's Polaroid: A Company and the Man Who Invented It by Peter C. Wensberg (Founders #263)A Triumph of Genius: Edwin Land, Polaroid, and the Kodak Patent War by Ronald Fierstein (Founders #134)Land's Polaroid: A Company and the Man Who Invented It by Peter C. Wensberg (Founders #133)The Instant Image: Edwin Land and the Polaroid Experienceby Mark Olshaker (Founders #132)Insisting On The Impossible: The Life of Edwin Land and Instant: The Story of Polaroid(Founders #40)[13:23] Think of your life as a rainbow arcing across the horizon of this world. You appear, have a chance to blaze in the sky, then you disappear.[14:10] One from Many: VISA and the Rise of Chaordic Organization by Dee Hock. (Founders #260)[15:42] Read Jeff Bezos's shareholder letters in book form: Invent and Wander: The Collected Writings of Jeff Bezos or for free online: Amazon Investor Relations(Founders #282)[19:45] If you want to understand the entrepreneur, study the juvenile delinquent. — Let My People Go Surfing: The Education of a Reluctant Businessman by Yvon Chouinard. (Founders #297)[30:47] How important product is based on how much time you spend with it: People are going to be spending two, three hours a day interacting with these machines—longer than they spend in the car.[39:02] Return to the Little Kingdom: Steve Jobs and the Creation of Appleby Michael Moritz. (Founders #76)[40:32] The real big thing is: if you're going to make something, it doesn't take any more energy—and rarely does it take more money—to make it really great. All it takes is a little more time. And a willingness to do so, a willingness to persevere until it's really great.[45:07] Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration by Ed Catmull [45:31] Steve's enthusiasm kept him writing check after check to Pixar, ultimately investing some $60 million.[47:47] It is better to have fewer people even if it means doing less. Let's build our company slowly and carefully.[53:36] I'm not so dominant that I can't listen to creative ideas coming from other people. Successful people listen. Those who don't listen, don't survive long. — Driven From Within by Michael Jordan (Founders #213)[54:40] You never achieve what you want without falling on your face a few times in the process of getting there.[1:00:11] There wasn't a hierarchy of ideas that mapped onto the hierarchy of the organization.[1:03:33] Don't be a career. The enemy of most dreams and intuitions, and one of the most dangerous and stifling concepts ever invented by humans, is the “Career.” A career is a concept for how one is supposed to progress through stages during the training for and practicing of your working life. There are some big problems here. First and foremost is the notion that your work is different and separate from the rest of your life. If you are passionate about your life and your work, this can't be so. They will become more or less one. This is a much better way to live one's life.[1:05:11] Make your avocation your vocation. Make what you love your work.[1:05:58] Think of your life as a rainbow arcing across the horizon of this world. You appear, have a chance to blaze in the sky, then you disappear.[1:09:27] In the Company of Giants: Candid Conversations With the Visionaries of the Digital World by Rama Dev Jager and Rafael Ortiz. (Founders #208)[1:10:52] Much of it is also drive and passion—hard work makes up for a lot.[1:13:28] A risk-taking creative environment on the product side required a fiscally conservative environment on the business side.[1:13:57] You've got to choose what you put your love into really carefully.[1:14:38] A remarkably consistent set of values that Steve held dear: Life is short; don't waste it. Tell the truth. Technology should enhance human creativity. Process matters. Beauty matters. Details matter. The world we know is a human creation—and we can push it forward.[1:19:24] Steve Jobs speaking to Apple employees (Video) [1:29:48] Apple is the world's premier bridge builder between mere mortals and the exploding world of high technology.[1:30:14] Steve's favorite quote: We are what we repeatedly do. Excellence, then, is not an act, but a habit. – Aristotle[1:32:29] The Man Behind the Microchip: Robert Noyce and the Invention of Silicon Valley by Leslie Berlin. (Founders #166)[1:42:27] That's been the most important lesson I've learned in business: that the dynamic range of people dramatically exceeds things you encounter in the rest of our normal lives—and to try to find those really great people who really love what they do. [1:43:00] Jony Ive: The Genius Behind Apple's Greatest Productsby Leander Kahney. (Founders #178)[1:47:27] It's a circus world, and you never know what's around the next corner.[1:53:40] Bourdain: The Definitive Oral Biography by Laurie Woolever. (Founders #219)[2:01:00] All glory is fleeting.----Subscribe to listen to Founders Premium — Subscribers can ask me questions directly and listen to Ask Me Anything (AMA) episodes.----Join my free email newsletter to get my top 10 highlights from every book----I use Readwise to organize and remember everything I read. You can try Readwise for 60 days for free here.  ----“I have listened to every episode released and look forward to every episode that comes out. The only criticism I would have is that after each podcast I usually want to buy the book because I am interested so my poor wallet suffers. ” — GarethBe like Gareth. Buy a book: All the books featured on Founders Podcast

Les bonnes manières, l'étiquette et la politesse en général sont des règles strictes et parfois arbitraires qui évoluent avec les époques. La serviette sur les genoux, ne pas toucher la nourriture avec les doigts, s'excuser quand on sort de table, ce genre de choses… A-t-on toujours observé des règles à table et sinon, qui sont les premiers à avoir dicté ces lois ? Beaucoup de bonnes manières sont là pour que tout le monde passe un bon moment. C'est un mini contrat social, finalement.  Tu ne pèteras pas à table et moi, promis, je ne m'essuerai pas avec la nappe. C'est un code de la route. Un canevas, qui, quand il est connu et reconnu de tous, permet à tout un chacun d'évoluer avec confiance et aisance dans un environnement social. Parfois au détriment d'un certain naturel. Ici, dans notre exemple, les arts de la table, mais c'est bien sur un principe beaucoup plus vaste in fine. Et donc, elles ont plus ou moins toujours existé. Beaucoup d'auteurs se sont étalés sur le sujet, notamment Erasme, dont je vous recommande la lecture. Il vous y explique qu'il faut bien se laver les mains, qu'on met son verre à droite et qu'on ne met pas ses doigts dans la sauce. La vision hygiénique dicte beaucoup de ces règles. Il y a aussi une dimension politique. Pendant la révolution française, par exemple, le vouvoiement et les appellations jugées pompeuses comme monsieur ou madame étaient proscrits. Vouvoyer était techniquement impoli alors qu'à d'autres époques, dont la nôtre, on s'offusque si vous ne le faites pas. Enfin, on peut y trouver une volonté de sophistiquer à l'extrême les échanges de table pour démontrer un certain raffinement. Un peu comme les complications en horlogerie, c'est plus ou moins la même idée. Car le raffinement est notre frontière naturelle avec les animaux et ce détachement est une façon de prouver son humanité. Les animaux mangent avec les doigts, en ben on va inventer les baguettes. Les animaux font des bruits dégoûtants en mangeant, et bien, on va essayer d'être le plus discret possible. Les animaux mélangent tout, et bien, nous, nous allons tout codifier et structurer. Les animaux sont pulsion, les humains sont dans le contrôle. La fameuse auto discipline du corps. Bref tout le monde n'est pas égal devant les bonnes manières, ceux qui en ont trop s'offusque de l'animosité des autres là ou les autres s'étonnent du manque de naturel. « Sans morale, la politesse ne sert que de cache-misère. » Georges Koussouros Learn more about your ad choices. Visit megaphone.fm/adchoices

AWS Puts Up a New VPC Lattice to Ease the Growth of Your Connectivity AKA Welcome to April (how is it April already?) This week, Justin, Jonathan, and Matt are your guides through all the latest and greatest in Cloud news; including VPC Lattice from AWS, the one and only time we'll talk about Service Catalog, and an ultra premium DDoS experience. All this week on The Cloud Pod.  This week's alternate title(s): AWS Finally makes service catalogs good with Terraform Amazon continues to believe retailers with supply chain will give all their data to them Azure copies your data from S3… AWS copies your data from Azure Blobs… or how I set money on fire with data egress charges

Trey Celaya has traveled an interesting path to find himself in the unique position of being a member of 2 metal-core bands that are both in their stride. He is the drummer of Fit For A King and he is also one of the primary writers and guitarist/producer of Invent Animate, whose newest album Heavener is enjoying break-out success. This conversation explores some of the deeper parts of where his music and creativity live in the musical sphere and how this influences his process. Follow Invent Animate on Spotify Join the Labeled Facebook group!

Join Team MTG: Danielle x Cicely x Priscilla as they deep dive into the months theme of INVENT with special guest Chanel Roker. Chanel Roker is Your Pivoting Strategist. A certified senior professional in Process & Quality Management with over 15 years of expertise in IT and business processes consulting, including project management and portfolio management. As a transformation specialist, she understands client needs, constructs data plans that maximize resources and bring efficiency in revenue growth. In 2022, Chanel launched the Accelerator Program for Freelancers, called The RATE Race, and provided pivoting support to 80+ jobseekers in different industries, 1-on-1 coaching and increased salaries $20 - $50K within 90 days; completing 20 successful industry pivots. She helps business owners, entrepreneurs and jobseekers pivot by identifying transferable skills and teaching contract/project management using colors. Oh, you make money TOO!! This year (2023) she offers exclusive coaching support to participants committed to DOING the work to pivot. You Are Your First Project! FOLLOW CHANEL: company website: www.alpinephoenix.com program website: www.pivotingworks.com tiktok: @yafamilyhomie Youtube: @yafamilyhomie IG: @yafamilyhomie ABOUT MTG: The MoreThanGraphics Podcast is a virtual safe space for womxn of color to share memories, hard truth-telling and life chronicles surrounding women in both the tech and creative industries. Tune in as Team MTG: Danielle x Cicely x Priscilla and guests embark on a round table journey of finding ones tribe. As we amplify the voices of today's up and coming talents and thought leaders we challenge our listeners to honestly engage in ways to unlock mental and emotional roadblocks to success. Collectively we acknowledge the ‘work on self' required to achieve true success. FOLLOW MTG: Follow and subscribe to More Than Graphics a multi-award nominated podcast online at mtgthepodcast.com.

Andrew Krug from Datadog In this episode, Andrew Krug talks about Datadog as a security observability tool, shedding light on some of its applications as well as its benefits to engineers. Andrew is the lead in Datadog Security Advocacy and Datadog Security Labs. Also a Cloud Security consultant, he started the Threat Response Project, a toolkit for Amazon Web Services first responders. Andrew has also spoken at Black Hat USA, DEFCON, re:Invent, and other platforms.. DataDog Product Overview Datadog is focused on bringing security to engineering teams, not just security people. One of the biggest advantages of Datadog or other vendors is how they ingest and normalize various log sources. It can be very challenging to maintain a reasonable data structure for logs ingested from cloud providers. Vendors try to provide customers with enough signals that they feel they are getting value while trying not to flood them with unactionable alerts. Also, considering the cloud friendliness for the stack is crucial for clients evaluating a new product. Datadog is active in the open-source community and gives back to groups like the Cloud native computing foundation. One of their popular open-source security tools created is Stratus-red-team which simulates the techniques of attackers in a clean room environment. The criticality of findings is becoming a major topic. It is necessary when evaluating that criticality is based on how much risk applies to the business, and what can be done. One of the things that teams struggle with as high maturity DevOps is trying to automate incident handling or response to critical alerts as this can cause Configuration Drift which is why there is a lot of hesitation to fully automate things. Having someone to make hard choices is at the heart of incident handling processes. Datadog Cloud SIEM was created to help customers who were already customers of logs. Datadog SIEM is also very easy to use such that without being a security expert, the UI is simple. It is quite difficult to deploy a SIEM on completely unstructured logs, hence being able to extract and normalize data to a set of security attributes is highly beneficial. Interestingly, the typical boring hygienic issues that are easy to detect still cause major problems for very large companies. This is where posture management comes in to address issues on time and prevent large breaches. Generally, Datadog is inclined towards moving these detections closer to the data that they are securing, and examining the application run time in real-time to verify that there are no issues. Datadog would be helpful to solve IAM challenges through CSPM which evaluates policies. For engineering teams, the benefit is seen in how information surfaces in areas where they normally look, especially with Datadog Security products where Issues are sorted in order of importance. Security Observability Day is coming up on the 18th of April when Datadog products will be highlighted; the link to sign up is available on the Datadog Twitter page and Datadog community Slack. To find out more, reach out to Andrew on Twitter @andrewkrug and on the Datadog Security Labs website. Top Quotes

On this Salcedo Storm Podcast:Texas Attorney general Ken Paxton.

As a Seattle girl, I love me some Starbucks so it is fun to refresh this episode which was one of the first (and most popular) behavioral economics analysis episodes I've ever done. It is currently the 11th most downloaded episode of the show of all time, and with 277 episodes to date, that is a pretty big deal! If you aren't familiar with this format, it is an episode where I talk about a well-known company and their practices to share what concepts from behavioral economics and behavioral science in their work so you can see what you might want to emulate and what isn't a good fit for you in your company.  So, why this episode from late 2019, and why now? Well, it is because of the loyalty program and this coming Friday's episode where I am joined by Lauren Kemp and Stephen Springfield to talk about how they created an “irrational” loyalty program at McDonald's during the pandemic. It is a fascinating story with lots of insights for you to learn. Today, I chose to share an episode that showcased another loyalty program doing a lot of smart things that are different from the traditional punch card approach to loyalty. (And, good news, there is a lot more to this episode that I know you're gonna love.) So grab a coffee, and settle in… Show Notes: [00:40] Today's episode is a behavioral economics analysis of Starbucks. [04:01] In this episode we are going to dig into their Star Rewards program, featured drinks, and products, the coveted red cups, their personality, overall brand choices, their logo, locations, social media, and pricing.  [04:23] Without the original brand and pricing, Starbucks would be just another coffee shop. [05:57] One of the big aspects Starbucks had to overcome was the pricing anchor.  [08:41] Howard Schultz and Starbucks took a step back. They got out of their own way and created a new category which ended up changing the conversation about coffee around the world. Asking good questions can help you get there.  [10:19] Price is never about the price. It is all about all the things that come before the price that matters more than the price itself. [12:02] The first big drink Starbucks made famous was the Frappuccino. There is a lot of effort that goes into turning these things into multibillion dollar industries.  This created a brand within a brand.  [14:27] Most everyone knows that the original PSL started at Starbucks. Pumpkin spice lattes are one of the seasonal drinks Starbucks brings out each year. They are only available for a few weeks or months until they are gone. This is scarcity in action.  [17:39] Starbucks changed the game. They created something different and managed to hold a big piece of the market even when imitators arose in every area.  [18:28] Starbucks is constantly testing and they are not afraid to have something really popular only available sometimes.  [19:24] Making and keeping a tradition alive is something Starbucks does amazingly well. The red cup first debuted in the 1997 holiday season and has been a staple ever since.   [20:19] When you become a lifestyle brand you bear the responsibility of being a big part of peoples' lives. Your choices reflect theirs and when you do something out of character, they will tell you about it. This is both good and bad.  [22:30] Consistency is key and until you define what you are and are not you can't be whatever it is consistently. When you have your own filters and know what you are about you can shout them from the rooftops and your tribe will resonate with them.  [24:49] The value of a brand is more than money and bottom-line sales. It is about the overall experience with the brand at its core.  [27:13] Find what people are already talking about and loving and see how you can be part of that conversation.  [28:39] The Star Rewards model is built to create habits for users and increase visits. It also encourages users to try new items and has limited-time offers, and customized preferences with an opportunity to get bonus stars.  [29:48] Being willing to test, experiment, and learn is something Starbucks does really well. Essentially Star Rewards is a huge testing ground of live field environments.  [32:15] Star Rewards is super easy and built-in. You have loss aversion and reciprocity built into the promotions.  [33:50] Star Rewards is a smart balance of loss aversion, scarcity, relativity, habits and more all executed through a series of experiments to see what is bringing the most value to the company and its customers.  [34:59] Scarcity is a powerful tool when used correctly, especially when properly paired with loss aversion to help people choose your product.  [36:31] Melina's closing thoughts [38:39] There is a lot of value and loyalty that comes from delightful, unexpected experiences and a less formal program is perfect for that. Thanks for listening. Don't forget to subscribe on Apple Podcasts or Android. If you like what you heard, please leave a review on iTunes and share what you liked about the show.  I hope you love everything recommended via The Brainy Business! Everything was independently reviewed and selected by me, Melina Palmer. So you know, as an Amazon Associate I earn from qualifying purchases. That means if you decide to shop from the links on this page (via Amazon or others), The Brainy Business may collect a share of sales or other compensation. Let's connect: Melina@TheBrainyBusiness.com The Brainy Business® on Facebook The Brainy Business on Twitter The Brainy Business on Instagram The Brainy Business on LinkedIn Melina on LinkedIn The Brainy Business on Youtube Join the BE Thoughtful Revolution – our free behavioral economics community, and keep the conversation going! Learn More and Support The Brainy Business: Get your copies of Melina's award-winning books.  Get the Books Mentioned on (or related to) this Episode: What Your Customer Wants and Can't Tell You, by Melina Palmer How Customers Think, by Gerald Zaltman Alchemy, by Rory Sutherland Engaged, by Amy Bucher Marketing to Mindstates, by Will Leach Top Recommended Next Episode: Get Your D.O.S.E. of Brain Chemicals (ep 123) Already Heard That One? Try These:  Framing (ep 16) Priming (ep 252) What is Value? (ep 234) Mental Accounting (ep 56) Partitioning (ep 254) Costco (ep 47) Apple Card (ep 42) Anchoring and Adjustment (ep 11) Herding (ep 19) The Truth About Pricing (ep 5) A Guide for You to Create a Brainy Brand (ep 43) Rebrand, Refresh or Reinforce? (ep 44) Availability (ep 15) The Sense of Hearing and Sound (ep 27) Habits (ep 256) How To Set Up Your Own Experiments (ep 63) Relativity (ep 12) Reciprocity (ep 238) Other Important Links:  Brainy Bites - Melina's LinkedIn Newsletter  A Starbucks Barista Asked Me This 1 Simple Question, and Using It May Be a Great Way to Boost Your Sales Every Starbucks Growth Strategy Is Working 30 Interesting Starbucks Facts and Statistics (2019) | By the Numbers How Starbucks Transformed Coffee From A Commodity Into A $4 Splurge Starbucks Didn't Invent the Frappuccino. Here's Who Did. Starbucks Has Made An Insane Amount Of Money From PSL Sales Starbucks Red Cups 2019: When Do Christmas Holiday Drinks Start Going on Sale? A Brief History of Starbucks' Holiday Cup Controversies Starbucks Will Be Selling Fewer Limited-Time-Only Drinks That Can Be Super Hard To Make SPAM® Pumpkin Spice

Please support the podcast by taking our short listener survey: https://www.surveymonkey.com/r/intotheimpossible Watch the video of this episode here: https://youtu.be/Qq2OgL8Hb6o?=sub_confirmation=1 Andrei Linde is one of the main authors of inflationary cosmology. At present, it is the leading candidate for the theory of the very early stages of expansion of the universe and formation of its large scale structure. In this podcast Linde will describe some of the popular versions of this theory, as well as observational evidence it favor of inflationary cosmology. We also discuss Andrei's career, the big problems in cosmology, and how Andrei invented eternal chaotic inflation which can lead to a universe which is constantly inflating, where new universes are constantly being created. Eternal inflation is a theory that states that the universe is constantly inflating, and that new universes are constantly being created. Here's his 1986 paper about it ETERNAL CHAOTIC INFLATION http://cds.cern.ch/record/167897/files/CM-P00066672.pdf Professor Linde's seminal book PARTICLE PHYSICS AND INFLATIONARY COSMOLOGY is available in PDF format: https://arxiv.org/pdf/hep-th/0503203.pdf Here are some past episodes that complement this one: Anna Ijjas: Bouncing cosmology https://youtu.be/aGlLjq4OcmE Will Kinney: An Infinity of Worlds https://youtu.be/iDsqy9QVGoI Neil Turok Endless Universes: https://youtu.be/Dt5cFLN65fI Note there are a number of alternative theories to cosmic inflation. Some of the most popular alternatives include: The ekpyrotic universe: This theory suggests that the universe began in a state of contraction, rather than expansion. The contraction would have eventually led to a singularity, at which point the universe would have bounced back into expansion. The cyclic universe: This theory is similar to the ekpyrotic universe, but it suggests that the universe goes through a series of cycles of contraction and expansion. The varying-speed-of-light universe: This theory suggests that the speed of light was not constant in the early universe. If this is true, it could explain how the universe could have expanded rapidly without violating the laws of physics. The string gas universe: This theory suggests that the early universe was filled with a gas of strings. The strings would have interacted with each other, causing the universe to expand rapidly. Subscribe to the Jordan Harbinger Show for amazing content from Apple's best podcast of 2018! https://www.jordanharbinger.com/podcasts  Please leave a rating and review: On Apple devices, click here, https://apple.co/39UaHlB On Spotify it's here: https://spoti.fi/3vpfXok On Audible it's here https://tinyurl.com/wtpvej9v  Find other ways to rate here: https://briankeating.com/podcast Support the podcast on Patreon https://www.patreon.com/drbriankeating  or become a Member on YouTube- https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join To advertise with us, contact advertising@airwavemedia.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Description: Are you an aspiring entrepreneur with a brilliant idea but no idea where to start? Look no further than this episode of our podcast, where we sit down with Stephen Key, Co-Founder of InventRight. Stephen is a renowned expert in product licensing and intellectual property and has successfully helped countless individuals bring their ideas to life. In this episode, Stephen shares his wealth of knowledge and experience with us, discussing how he got his start and what he would do differently if he were starting over. He also offers invaluable advice on how to be a successful entrepreneur, including the skills needed to license products and the time and financial commitment required. Stephen also shares his insights on creativity, exploring how anyone can tap into their creative spark and turn their ideas into profitable products. He also shares success stories from his career, showing how ordinary people have transformed their lives through entrepreneurship. If you've ever wondered how to license a product, whether you need a patent, or how to come up with ideas that are viable for licensing, Stephen has the answers. Join us for this fascinating conversation with Stephen Key and get ready to be inspired and informed on your entrepreneurial journey. To check out Stephen Key's books on Amazon, visit his author's page: https://amzn.to/3KM1tYA Disclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show. Do your due diligence. Click here to join PodMatch (the "AirBNB" of Podcasting): ⁠https://www.joinpodmatch.com/drchrisloomdphd⁠ We couldn't do it without the support of our listeners. To help support the show: CashApp- ⁠https://cash.app/$drchrisloomdphd⁠ Venmo- ⁠https://account.venmo.com/u/Chris-Loo-4⁠ Buy Me a Coffee- ⁠https://www.buymeacoffee.com/chrisJx⁠ Thank you to our sponsor, CityVest: ⁠https://bit.ly/37AOgkp⁠ Click here to schedule a 1-on-1 private coaching call: ⁠https://www.drchrisloomdphd.com/book-online⁠ Click here to purchase my books on Amazon: ⁠https://amzn.to/2PaQn4p⁠ Follow our YouTube channel: ⁠https:⁠⁠//www.youtube.com/chL1357⁠ Become a paid subscriber and get membership access to exclusive, bonus, ad-free content: https://podcasters.spotify.com/pod/show/christopher-loo/subscribe Thank you to our advertisers on Spotify. Financial Freedom for Physicians, Copyright 2023

Raj Bala, Founder of Perspect, joins Corey on Screaming in the Cloud to discuss all things generative AI. Perspect is a new generative AI company that is democratizing the e-commerce space, by making it possible to place images of products in places that would previously require expensive photoshoots and editing. Throughout the conversation, Raj shares insights into the legal questions surrounding the rise of generative AI and potential ramifications of its widespread adoption. Raj and Corey also dig into the question, “Why were the big cloud providers beaten to the market by OpenAI?” Raj also shares his thoughts on why company culture has to be organic, and how he's hoping generative AI will move the needle for mom-and-pop businesses. About RajRaj Bala, formerly a VP, Analyst at Gartner, led the Magic Quadrant for Cloud Infrastructure and Platform Services since its inception and led the Magic Quadrant for IaaS before that.  He is deeply in-tune with market dynamics both in the US and Europe, but also extending to China, Africa and Latin America.  Raj is also a software developer and is capable of building and deploying scalable services on the cloud providers to which he wrote about as a Gartner analyst.  As such, Raj is now building Perspect, which is a SaaS offering at the intersection of AI and E-commerce.Raj's favorite language is Python and he is obsessed with making pizza and ice cream. Links Referenced:Perspect: https://perspect.com 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: This episode is sponsored in part by our friends at Thinkst Canary. Most folks find out way too late that they've been breached. Thinkst Canary changes this. Deploy Canaries and Canarytokens in minutes and then forget about them. Attackers tip their hand by touching 'em giving you one alert, when it matters. With 0 admin overhead and almost no false-positives, Canaries are deployed (and loved) on all 7 continents. Check out what people are saying at canary.love today!Corey: This episode is sponsored in part by our friends at Chronosphere. When it costs more money and time to observe your environment than it does to build it, there's a problem. With Chronosphere, you can shape and transform observability data based on need, context and utility. Learn how to only store the useful data you need to see in order to reduce costs and improve performance at chronosphere.io/corey-quinn. That's chronosphere.io/corey-quinn. And my thanks to them for sponsor ing my ridiculous nonsense. Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Back again, after a relatively brief point in time since the last time he was on, is Raj Bala. Formerly a VP analyst at Gartner, but now instead of talking about the past, we are talking, instead, about the future. Raj, welcome back. You're now the Founder at Perspect. What are you doing over there?Raj: I am indeed. I'm building a SaaS service around the generative AI space at the intersection of e-commerce. So, those two things are things that I'm interested in. And so, I'm building a SaaS offering in that space.Corey: This is the first episode in which we're having an in-depth discussion about generative AI. It's mostly been a topic that I've avoided because until now, relatively recently, it's all been very visual. And it turns into sort of the next generation's crappy version of Instagram, where, “Okay. Well, Instagram's down, so can you just describe your lunch to me?” It's not compelling to describe a generated image on an audio-based podcast. But with the advent of things like ChatGPT, where suddenly it's muscling into my realm, which is the written word, suddenly it feels like there's a lot more attention and effort being paid to it in a bunch of places where it wasn't getting a lot of coverage before, including this one. So, when you talk about generative AI, are you talking in the sense of visual, in terms of the written word, in terms of all of the above, and more? Where's your interest lie?Raj: I think it's all of the above and more. My interest is in all of it, but my focus right now is on the image aspect of things. I've been pretty knee-deep in stable diffusion and all the things that it entails, and it is largely about images at this point.Corey: So, talk to me more about how you're building something that stands between the intersection of e-commerce and generative AI. Because when I go to perspect.com, I'm not staring at a web store in the traditional sense. I'm looking at something that—again, early days, I'm not judging you based upon the content of your landing page—but it does present as a bit more of a developer tool and a little bit less of a “look how pretty it is.”Raj: Yeah. It's very much a developer-focused e-commerce offering. So, as a software developer, if you want programmatic access to all things e-commerce and generative AI that are related to e-commerce, you can do that on perspect.com. So, yeah. It is about taking images of products and being able to put them in AI-generated places essentially.Corey: Got it. So, effectively you're trying to sell, I don't know, titanium jewelry for the sake of argument. And you're talking about now you can place it on a generated model's hand to display this rather than having to either fake it or alternately have a whole bunch of very expensive product shoots and modeling sessions.Raj: Exactly. Exactly. If you want to put this piece of jewelry in front of the Eiffel Tower or the Pyramids of Giza, you can do that in a few seconds as opposed to the expensive photo shoots that were once required.Corey: On some level, given that I spend most of my time kicking around various SaaS products, I kind of love the idea of stock photography modeling, I don't know, Datadog or whatnot. I don't know how that would even begin to pan out, but I'm totally here for it.Raj: That's funny.Corey: Now, the hard part that I'm seeing right now is—I mean, you used to work at Gartner for years.Raj: I did.Corey: You folks are the origin of the Gartner-hype cycle. And given all the breathless enthusiasm, massive amounts of attention, and frankly, hilarious, more than a little horrifying, missteps that we start seeing in public, it feels like we are very much in the heady early days of hype around generative AI.Raj: No doubt about it. No doubt about it. But just thinking about what's possible and what is being accomplished even week to week in this space is just mind-blowing. I mean, this stuff didn't exist really six months ago. And now, the open-source frameworks are out there. The ecosystems are developing around it. A lot of people have compared generative AI to the iPhone. And I think it's actually maybe bigger than that. It's more internet-scale disruption, not just a single device like the iPhone.Corey: It's one of those things that I have the sneaking suspicion is going to start showing up in a whole bunch of different places, manifesting in a whole host of different ways. I've been watching academia, largely, freak out about the idea that, “Well, kids are using it to cheat on their homework.” Okay. I understand the position that they're coming from. But it seems like whenever a new technology is unleashed on the world, that is the immediate, instantaneous, reflexive blowback—not necessarily picking on academics, in particular—but rather, the way that we've always done something is now potentially very easy to use thanks to this advance in technology. “Oh, crap. What do we do?” And there's usually a bunch of scurrying around in futile attempts to put the genie back in the bottle, which frankly, never works. And you also see folks trying to sprint, to sort of keep up with this. And it never really pans out. Society adapts, adjusts, and evolves. And I don't think that that's an inherently terrible thing.Raj: I don't think so either. I mean, the same thing existed with the calculator, right? Do you remember early days in school, they said you can't use a calculator, right? And—Corey: Because remember you will not have a calculator in your pocket as you go through life. Well, that was a lie.Raj: But during the test—during the test that you have to take, you will not have a calculator. And when the rubber meets the road in person during that test, you're going to have to show your skills. And the same thing will happen here. We'll just have to have ground rules and ways to check and balance whether people are cheating or not and adapt, just like you said.Corey: On some level, you're only really cheating yourself past a certain point.Raj: Exactly.Corey: There's value in being able to tell a story in a cohesive, understandable way.Raj: Absolutely.Corey: Oh, the computer will do it for me. And I don't know that you can necessarily depend on that.Raj: Absolutely. Absolutely. You have to understand more than just the inputs and outputs. You have to understand the black box in between enough to show that you understand the subject.Corey: One thing that I find interesting is the position of the cloud providers in this entire—Raj: Mm-hmm.Corey: —space. We have Google, who has had a bunch of execs talking about how they've been working on this internally for years. Like you get how that makes you look worse instead of better, right? Like they're effectively tripping over one another on LinkedIn to talk about how they've been working on this for such a long time, and they have something just like it. Well, yeah. Okay. You got beaten to market by a company less than a decade old.Azure has partnered with OpenAI and brought a lot of this to Bing so rapidly they didn't have time to update their more of a Bing app away from the “Use Bing and earn Microsoft coins” nonsense. It's just wow. Talk about a—being caught flat-footed on this. And Amazon, of course, has said effectively nothing. The one even slightly generative AI service that they have come out with that I can think of that anyone could be forgiven for having missed is—they unleashed this one year at re:Invent's Midnight Madness where they had Dr. Matt Wood get on stage with the DeepComposer and play a little bit of a song. And it would, in turn, iterate on that. And that was the last time any of us ever really heard anything about the DeepComposer. I've got one on my shelf. And I do not hear about it mentioned even in passing other than in trivia contests.Raj: Yeah. It's pretty fascinating. Amazon with all their might, and AWS in particular—I mean, AWS has Alexa, and so they've—the thing you give to Alexa is a prompt, right? I mean, it is generative AI in a large way. You're feeding it a prompt and saying do something. And it spits out something tokenized to you. But the fact that OpenAI has upended all of these companies I think is massive. And it tells us something else about Microsoft too is that they didn't have the wherewithal integrally to really compete themselves. They had to do it with someone else, right? They couldn't muster up the effort to really build this themselves. They had to use OpenAI.Corey: On some level, it's a great time to be a cloud provider because all of these experiments are taking place on top of a whole bunch of very expensive, very specific compute.Raj: Sure.Corey: But that is necessary but not sufficient as we look at it across the board. Because even AWS's own machine-learning powered services, it's only relatively recently that they seemed to have gotten above the “Step one, get a PhD in this stuff. Step two, here's all the nuts and bolts you have to understand about how to build machine-learning models.” Whereas the thing that's really caused OpenAI's stuff to proliferate in the public awareness is, “Okay. You got to a webpage, and you tell it what to draw, and it draws the thing.” Or “go ahead and rename an AWS service if the naming manager had a sense of creativity and a slight bit of whimsy.” And it comes out with names that are six times better than anything AWS has ever come out with.Raj: So, funny. I saw your tweet on that actually. Yeah. If you want to do generative AI on AWS today, it is hard. Oh, my gosh. That's if you can get the capacity. That's if you can get the GPU capacity. That's if you can put together the ML ops necessary to make it all happen. It is extremely hard. Yeah, so putting stuff into a chat interface is 1,000 times easier. I mean, doing something like containers on GPUs is just massively difficult in the cloud today.Corey: It's hard to get them in many cases as well. I had customers that asked, “Okay. What special preferential treatment can we get to get access to more GPUs?” It's like can you break the laws of physics or change global supply chain because if so, great. You've got this unlocked. Otherwise, good luck.Raj: I think us-east-2 a couple weeks ago for like the entire week was out of the GPU capacity necessary the entire week.Corey: I haven't been really tracking a lot of the GPU-specific stuff. Do you happen to know what a lot of OpenAI's stuff is built on top of from a vendoring perspective?Raj: I mean, it's got to be Nvidia, right? Is that what you're asking me?Corey: Yeah. I'm—I don't know a lot of the—again, this is not my area.Raj: Yeah, yeah.Corey: I am not particularly deep in the differences between the various silicon manufacturers. I know that AWS has their Inferentia chipset that's named after something that sounds like what my grandfather had. You've got a bunch of AMD stuff coming out. You've have—Intel's been in this space for a while. But Nvidia has sort of been the gold standard based upon GPU stories. So, I would assume it's Nvidia.Raj: At this point, they're the only game in town. No one else matters. The frameworks simply don't support anything other than Nvidia. So, in fact, OpenAI—them and Facebook—they are kind of leading some—a bunch of the open-source right now. So, it's—Stability AI, Hugging Face, OpenAI, Facebook, and all their stuff is dependent on Nvidia. None of it—if you look through the source code, none of it really relies on Inferentia or Trainium or AMD or Intel. It's all Nvidia.Corey: As you look across the current landscape—at least—let me rephrase that. As I look across the current landscape, I am very hard-pressed to identify any company except probably OpenAI itself as doing anything other than falling all over itself having been caught—what feels like—completely flat-footed. We've seen announcements rushed. We've seen people talking breathlessly about things that are not yet actively available. When does that stop? When do we start to see a little bit of thought and consideration put into a lot of the things that are being rolled out, as opposed to “We're going to roll this out as an assistant now to our search engine” and then having to immediately turn it off because it becomes deeply and disturbingly problematic in how it responds to a lot of things?Raj: You mean Sam Altman saying he's got a lodge in Montana with a cache of firearms in case AI gets out of control? You mean that doesn't alarm you in any way?Corey: A little bit. Just a little bit. And like even now you're trying to do things that, to be clear, I am not trying to push the boundaries of these things. But all right. Write a limerick about Elon Musk hurling money at things that are ridiculous. Like, I am not going to make fun of individual people. It's like I get that. But there is a punching-up story around these things. Like, you also want to make sure that's it not “Write a limerick about the disgusting habit of my sixth-grade classmate.” Like, you don't want to, basically, automate the process of cyber-bullying. Let's be clear here. But finding that nuance, it's a societal thing to wrestle with, on some level. But I think that we're anywhere near having cohesive ideas around it.Raj: Yeah. I mean, this stuff is going to be used for nefarious ways. And it's beyond just cyberbullying, too. I think nation-states are going to use this stuff to—as a way to create disinformation. I mean, if we saw a huge flux of disinformation in 2020, just imagine what's going to happen in 2024 with AI-generated disinformation. That's going to be off the charts.Corey: It'll be at a point where you fundamentally have to go back to explicitly trusted sources as opposed to, “Well, I saw a photo of it or a video of it” or someone getting onstage and dancing about it. Well, all those things can be generated now for, effectively, pennies.Raj: I mean, think about evidence in a courtroom now. If I can generate an image of myself holding a gun to someone's head, you have to essentially dismiss all sorts of photographic evidence or video evidence soon enough in court because you can't trust the authenticity of it.Corey: It makes providence and chain-of-custody issues far more important than they were before. And it was still a big deal. Photoshop has been around for a while. And I remember thinking when I was younger, “I wonder how long it'll be until videos become the next evolution of this.” Because there was—we got to a point fairly early on in my life where you couldn't necessarily take a photograph at face value anymore because—I mean, look at some of the special effects we see in movies. Yeah, okay. Theoretically, someone could come up with an incredibly convincing fake of whatever it is that they're trying to show. But back then, it required massive render farms and significant investment to really want to screw someone over. Now, it requires drinking a couple glasses of wine, going on the internet late at night, navigating to the OpenAI webpage, and typing in the right prompt. Maybe you iterate on it a little bit, and it spits it out for basically free.Raj: That's one of the sectors, actually, that's going to adopt this stuff the soonest. It's happening now, the film and movie industry. Stability AI actually has a film director on staff. And his job is to be sort of the liaison to Hollywood. And they're going to help build AI solutions into films and so forth. So, yeah. But that's happening now.Corey: One of the more amazing things that I've seen has been the idea of generative voice where it used to be that in order to get an even halfway acceptable model of someone's voice, they had to read a script for the better part of an hour. That—and they had to make sure that they did it with certain inflection points and certain tones. Now, you can train these things on, “All right. Great. Here's this person just talking for ten minutes. Here you go.” And the reason I know this—maybe I shouldn't be disclosing this as publicly as I am, but the heck with it. We've had one of me on backup that we've used intermittently on those rare occasions when I'm traveling, don't have my recording setup with me, and this needs to go out in a short time period. And we've used it probably a dozen times over the course of the 400 and some odd episodes we've done. One person has ever noticed.Raj: Wow.Corey: Now, having a conversation going back and forth, start pairing some of those better models with something like ChatGPT, and basically, you're building your own best friend.Raj: Yeah. I mean, soon enough you'll be able to do video AI, completely AI-generated of your podcast perhaps.Corey: That would be kind of wild, on some level. Like now we're going to animate the whole thing.Raj: Yeah.Corey: Like I still feel like we need more action sequences. Don't know about you, but I don't have quite the flexibility I did when I was younger. I can't very well even do a pratfall without wondering if I just broke a hip.Raj: You can have an action sequence where you kick off a CloudFormation task. How about that?Corey: One area where I have found that generative text AI, at least, has been lackluster, has been right a parody of the following song around these particular dimensions. Their meter is off. Their—the cleverness is missing.Raj: Hmm.Corey: They at least understand what a parody is and they understand the lyrics of the song, but they're still a few iterative generations away. That said, I don't want to besmirch the work of people who put into these things. They are basically—Raj: Mm-hmm.Corey: —magic.Raj: For sure. Absolutely. I mean, I'm in wonderment of some of the artwork that I'm able to generate with generative AI. I mean, it is absolutely awe-inspiring. No doubt about it.Corey: So, what's gotten you excited about pairing this specifically with e-commerce? That seems like an odd couple to wind up smashing together. But you have had one of the best perspectives on this industry for a long time now. So, my question is not, “What's wrong with you?” But rather, “What are you seeing that I'm missing?”Raj: I think it's the biggest opportunity from an impact perspective. Generating AI avatars of yourself is pretty cool. But ultimately, I think that's a pretty small market. I think the biggest market you can go after right now is e-commerce in the generative AI space. I think that's the one that's going to move the needle for a lot of people. So, it's a big opportunity for one. I think there are interesting things you can do in it. The technical aspects are equally interesting. So, you know, there are a handful of compelling things that draw me to it.Corey: I think you're right. There's a lot of interest and a lot of energy and a lot of focus built around a lot of the neat, flashy stuff. But it's “Okay. How does this windup serving problems that people will pay money for?” Like right now to get early access to ChatGPT and not get rate-limited out, I'm paying them 20 bucks a month which, fine, whatever. I am also in a somewhat privileged position. If you're generating profile photos that same way, people are going to be very hard-pressed to wind up paying more than a couple bucks for it. That's not where the money is. But solving business problems—and I think you're onto something with the idea of generative photography of products that are for sale—that has the potential to be incredibly lucrative. It tackles what to most folks is relatively boring, if I can say that, as far as business problems go. And that's often where a lot of value is locked away.Raj: I mean, in a way, you can think of generative AI in this space as similar to what cloud providers themselves do. So, the cloud providers themselves afforded much smaller entities the ability to provision large-scale infrastructure without high fixed costs. And in some ways, I know the same applies to this space too. So, now mom-and-pop shop-type people will be able to generate interesting product photos without high fixed costs of photoshoots and Photoshop and so forth. And so, I think in some ways it helps to democratize some of the bigger tools that people have had access to.Corey: That's really what it comes down to is these technologies have existed in labs, at least, for a little while. But now, they're really coming out as interesting, I guess, technical demos, for lack of a better term. But the entire general public is having access to these things. There's not the requirement that we wind up investing an enormous pile of money in custom hardware and the rest. It feels evocative of the revolution that was cloud computing in its early days. Where suddenly, if I have an idea, I don't need either build it on a crappy computer under my desk or go buy a bunch of servers and wait eight weeks for them to show up in a rack somewhere. I can just start kicking the tires on it immediately. It's about democratizing access. That, I think, is the magic pill here.Raj: Exactly. And the entry point for people who want to do this as a business, so like me, it is a huge hurdle still to get this stuff running, lots of jagged edges, lots of difficulty. And I think that ultimately is going to dissuade huge segments of the population from doing it themselves. They're going to want completed services. They're going to want finish product, at least in some consumable form, for their persona.Corey: What do you think the shaking out of this is going to look like from a cultural perspective? I know that right now everyone's excited, both in terms of excited about the possibility and shrieking that the sky is falling, that is fairly normal for technical cycles. What does the next phase look like?Raj: The next phase, unfortunately, is probably going to be a lot of litigation. I think there's a lot of that on the horizon already. Right? Stability AI's being sued. I think the courts are going to have to decide, is this stuff above board? You know, the fact that these models have been trained on otherwise copywritten data—copywritten images and music and so forth, that amounts to billions of parameters. How does that translate—how does that affect ages of intellectual property law? I think that's a question that—it's an open question. And I don't think we know.Corey: Yeah. I wish, on some level, that we could avoid a lot of the unpleasantness. But you're right. It's going to come down to a lot of litigation, some of which clearly has a point, on some level.Raj: For sure.Corey: But it's a—but that is, frankly, a matter for the courts. I'm privileged that I don't have to sit here and worry about this in quite the same way because I am not someone who makes the majority of my income through my creative works. And I am also not on the other side of it where I've taken a bunch of other people's creative output and use that to train a bunch of models. So, I'm very curious to know how that is going to shake out as a society.Raj: Yeah.Corey: I think that regulation is also almost certainly on the horizon, on some level. I think that tech has basically burned through 25 years of goodwill at this point. And nobody trusts them to self-regulate. And based upon their track record, I don't think they should.Raj: And interestingly, I think that's actually why Google was caught so flat-footed. Google was so afraid of the ramifications of being first and the downside optics of that, that they got a little complacent. And so, they weren't sure how the market would react to saying, “Here's this company that's known for doing lots of, you know, kind of crazy things with people's data. And suddenly they come out with this AI thing that has these huge superpowers.” And how does that reflect poorly on them? But it ended up reflecting poorly on them anyway because they ended up being viewed as being very, very late to market. So, yeah. They got pie on their face one way or the other.Corey: For better or worse, that's going to be one of those things that haunts them. This is the classic example of the innovator's dilemma. By becoming so focused on avoiding downside risk and revenue protection, they effectively let their lunch get eaten. I don't know that there was another choice that they could've made. I'm not sitting here saying, “That's why they're foolish.” But it's painful. If I'm—I'm in the same position right now. If I decide I want to launch something new and exciting, my downside risk is fairly capped. The world is my theoretical oyster. Same with most small companies. I don't know about you, what do you right now as a founder, but over here at The Duckbill Group, at no point in the entire history of this company, going back six years now, have we ever sat down for a discussion around, “Okay. If we succeed at this, what are the antitrust implications?” It has never been on our roadmap. It's—that's very firmly in the category of great problems to have.Raj: Really confident companies will eat their own lunch. So, you in fact see AWS do this all the time.Corey: Yes.Raj: They will have no problem disrupting themselves. And they're lots of data points we can talk about to show this. They will disrupt themselves first because they're afraid of someone else doing it before them.Corey: And it makes perfect sense. Amazon has always had a—I'd call it a strange culture, but that doesn't do it enough of a service just because it feels like compared to virtually any other company on the planet, they may as well be an alien organism that has been dropped into the world here. And we see a fair number of times where folks have left Amazon, and they wind up being so immersed in that culture, that they go somewhere else, and “Ah, I'm just going to bring the leadership principles with me.” And it doesn't work that way. A lot of them do not pan out outside of the very specific culture that Amazon has fostered. Now, I'm not saying that they're good or that they're bad. But it is a uniquely Amazonian culture that they have going on there. And those leadership principles are a key part of it. You can transplant that in the same way to other companies.Raj: Can I tell you one of the funniest things one of these cloud providers has said to me? I'm not going to mention the cloud provider. You may be able to figure out which one anyway, though.Corey: No. I suspect I have a laundry list to go out of these various, ridiculous things I have heard from companies. Please, I am always willing to add to the list. Hit me with it.Raj: So, a cloud provider—a big cloud provider, mine you—told me that they wanted Amazon's culture so bad that they began a thing where during a meeting—before each meeting, everyone would sit quietly and read a paper that was written by someone in the room so they all got on the same page. And that is distinctly an Amazon thing, right? And this is not Amazon that is doing this. This is some other cloud provider. So, people are so desperate for that bit of weirdness that you mentioned inside of Amazon, that they're willing to replicate some of the movements and the behaviors whole cloth hoping that they can get that same level of culture. But it has to be—it has to be organic. And it has to be at the root. You can't just take an arm and stick it onto a body and expect it to work, right?Corey: My last real job before I started this place was at a small, scrappy startup for three months. And then we were bought by an enormous financial company. And one of their stated reasons for doing it was, “Well, we really admire a lot of your startup culture, and we want to, basically, socialize that and adopt that where we are.” Spoiler. This did not happen. It was more or less coming from a perspective, “Well, we visited your offices, and we saw that you had bikes in the entryway and dogs in the office. And well, we went back to our office, and we threw in some bikes and added some dogs, but we didn't get any different result. What's the story here?” It's—you cannot cargo cult bits and pieces of a culture. It has to be something holistic. And let's be clear, you're only ever going to be second best at being another company. They're going to be first place. We saw this a lot in the early-2000s of “We're going to be the next Yahoo.” It's—why would I care about that? We already have original Yahoo. The fortune's faded, but here we are.Raj: Yeah. Agreed.Corey: On our last recording, you mentioned that you would be building this out on top of AWS. Is that how it's panned out? You still are?Raj: For the most part. For the most part. I've dipped my toes into trying to use GPU capacity elsewhere, using things like ECS Anywhere, which is an interesting route. There's some promise there, but there's still lots of jagged edges there too. But for the most part, there's not another cloud provider that really has everything I need from GPU capacity to serverless functions at the edge, to CDNs, to SQL databases. That's actually a pretty disparate set of things. And there's not another cloud provider that has literally all of that except AWS at this point.Corey: So far, positive experience or annoying? Let's put it that way.Raj: Some of it's really, really hard. So, like doing GPUs with generative AI, with containers for instance, is still really, really hard. And the documentation is almost nonexistent. The documentation is wrong. I've actually submitted pull requests to fix AWS documentation because a bunch of it is just wrong. So, yeah. It's hard. Some of it's really easy. Some it's really difficult.Corey: I really want to thank you for taking time to speak about what you're up to over at Perspect. Where can people go to learn more?Raj: www.perspect.com.Corey: And we will of course put a link to that in the [show notes 00:30:02]. Thank you so much for being so generous with your time. I appreciate it.Raj: Any time, Corey.Corey: Raj Bala, Founder at Perspect. 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 haven't hated this podcast, please, leave a five-star review on your podcast platform of choice along with an angry, insulting comment that you got an AI generative system to write for you.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.

¿Cuál es la diferencia entre LLEVAR y TRAER? Hoy compartiré contigo un TRUCO MNEMÓNICO que a mí me ayudó muchísimo para usar correctamente LLEVAR y TRAER. Inventé este truco cuando

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Some lesser-known megaproject ideas, published by Linch on April 2, 2023 on The Effective Altruism Forum. Below is a list of megaproject ideas that didn't quite make the cut enough to be added to the database. I compiled this list last year and sent it last November to a prominent businessman who I knew from my old Vegns in Gaming days. He completely ignored me, and I was later informed that he actually wasn't very good at League of Legends, which I guess tells you something about the epistemic character and moral fiber of people who disagree with me. Genetically engineer octopodes for intelligence and alignment, helps with understanding AGI better and also for creating successors to the human species if we die out for non-AGI reasons Large-scale bioethics-to-AI-ethics transition pipeline: Create fellowships and other prestigious programs to help bioethicists transition to AI ethics. This reduces dumb bioethics decisions (decreasing biorisk) while increasing general perceived annoyance/uncoolness of doing AI research (decreasing AI risk). win-win-win EA Games 1: Invent a highly addictive game that's optimized for very smart amoral people, plaster ads for it near AGI labs to slow down AI timelines EA Games 2: Sponsor a number of esports teams with 80,000 Hours, etc, logos Go to Los Angeles and hire thousands of Hollywood wanna-be actors to pretend to be EAs; help solve the imposter syndrome problem in EA by having actual imposters Dynasty: “World leaders or children of world leaders” matchmaking app + concierge service. Maybe if Hunter Biden married Xi Mingze, WWIII would become less likely? The above but for AGI companies. Is Demis Hassabis single? Is Sam Altman? A really big malaria net Covert 1% of the world's stainless steel to paperclips, as a form of acausal trade/token of good faith Take over the education system of a small European country Impact Island America's Got Talent, except for AI alignment Colonize Mars: backup option for humanity, because bunkers are too cheap Payback: Genetically engineer an army of human-eating chickens Figure out how to resurrect Jeremy Bentham, ask him to do our cause prioritization Flood the internet with memes/stories of AIs being good to humans, to help balance the training data Mandate all AI/bio labs carry GCR insurance, ~10T payout if people can demonstrate they pose a >1% existential risk + courts can order a halt to all progress during a suit A really big mirror, to help with climate change Happy rat farms (might be too expensive tho) Genetically engineer really fast-growing photosynthesizing plants to help combat climate change Genetically engineer really rapidly breeding locusts to solve the problem of your GMO plants crowding out normal agriculture Genetically engineer really fast and lethal praying mantises to solve your locust problem (Brian Tomasik might be against this) Humane&painless APM-based pesticides/gray goo to help with your praying mantis problem Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

W3 M4D3 4 N3W 8357 Fr13ND! It's time to dig into the 2022 sci-fi horror M3GAN, spearheaded by James Wan! There's a lot of talent behind this meme of a movie, including stand-out child actors, unbelievable stunts, and a special effects department that blew us away. Jaime did the research for this one while Eric did the recap, and we had a blast watching this tiny robot's reign of terror. Content Warnings: parental death, grief and trauma experienced by a kid (portrayed by a very talented child actor), brief body horror, gore, animal death, gaslighting, threat of sexual assault, and child death.  (Listen to the ad break for more details!) Show Notes: M3GAN Screenwriter Akela Cooper Did Not Set Out to Invent a Gay Icon ‘M3GAN' – The Most Interesting Things We Learned from the Blu-rayBuilding M3GAN: How Animatronics, Puppetry, VFX and a Child Actor Created a New Doll Icon That Slays

Venita McLemore, Senior Manager of Public Relations Events at Amazon Web Services, joins Amanda Ma, CEO of Innovate Marketing Group, to discuss howAmazon Web Services does events, trends we are seeing, and finding your passion. Listen Now on EventUp! Venita McLemore is an Event Producer and Entrepreneur who has leveraged her career beginnings in dance to create singular, immersive performance and tech events. Based in New York City, Venita earned a BA in Biology and a BFA in Dance Performance and Choreography from Columbia College, and then attended the MFA Dance program at the University of Colorado at Boulder. For the past 15 years, Venita has worked as a Conceptualizer, Producer, and Operations and Events Management Consultant for several Fortune 500 companies. She also co-founded Calm and Sense creations as a vehicle for interactive artistic productions and events in NYC. In 2018, Venita joined Amazon as the Senior Manager of Events for Audible and is currently the Senior Manager of PR Events for Amazon Web Services. Event production highlights include Audible's Innovation Cathedral Premiere, Sponsorship activations for Afrotech, Grace Hopper, and the Voice Summit, AWS re:Invent -the largest global Cloud conference, re:MARS – AI/ML, Automation, Robotics, and Space conference, and re:Inforce - Security conference.

Kentucky Republican Congressman and House Oversight Committee Chairman James Comer joins Fox Across America With Jimmy Failla to discuss what his committee has recently uncovered about Hunter Biden's shady business dealings in China. Jimmy tells us why even Democrats like Bill Maher and former New York Governor Andrew Cuomo are calling out Manhattan District Attorney Alvin Bragg and his politically motivated investigation into former President Trump. PLUS, Contributing Editor at The Spectator Chadwick Moore shares his thoughts on CNN analyst John Blake's article explaining how a person might be guilty of ‘digital blackface'.   [00:00:00] Cuomo and Maher criticize Bragg's Trump investigation [00:19:15] Rep. James Comer [00:37:35] ESPN honors Lia Thomas for Women's History Month [00:56:04] AOC joins TikTok and promotes the controversial app [01:14:23] Reacting to the school shooting in Nashville [01:32:50] Chadwick Moore Learn more about your ad choices. Visit megaphone.fm/adchoices