English mathematician, philosopher, and engineer (1791–1871)
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4 episodes with Charles Babbage
3 episodes with Charles Babbage
3 episodes with Charles Babbage
3 episodes with Charles Babbage
3 episodes with Charles Babbage
6 episodes with Charles Babbage
4 episodes with Charles Babbage
4 episodes with Charles Babbage
2 episodes with Charles Babbage
Bilgisayar... Tüm dünyayı baştan aşağı değiştiren bir icat. Belki de tarihin en önemli kesiflerinde biri. Fakat bu devrim bir anda olmadı elbette. Basit bir hesap yapma aracından, yapay zekaya kadar uzanan bu serüven, insanlığın kendini aşma çabasının da hikayesiydi aslında. Hiçbir Şey Tesadüf Değil'de bu teknolojik devrimin arka planına odaklanıyoruz. İki bölümden oluşacak mini bu mini serinin ilk ayağındaysa, hayatımızı değiştiren bu teknolojiyi en ilkel günlerinden itibaren incelemeye çalışıyoruz.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This week we finish our talk about The Society for Psychical Research. We go over certain key figures such as Thomas Charles Lethbridge, Charles Babbage and William and Elizabeth Denton. Does their research into the concept of what ghosts really are have solid ground? Or does the concept of infused locations truly have nothing behind it all. Tune in as we finish this deeper discussion. Thanks for listening and remember to like, rate, review, and email us at: cultscryptidsconspiracies@gmail.com or tweet us at @C3Podcast. We have some of our sources for research here: http://tinyurl.com/CristinaSourcesAlso check out our Patreon: www.patreon.com/cultscryptidsconspiracies. Thank you to T.J. Shirley for our theme.
This week we start to talk about The Society for Psychical Research. We go over certain key figures such as Thomas Charles Lethbridge, Charles Babbage and William and Elizabeth Denton. Does their research into the concept of what ghosts really are have solid ground? Or does the concept of infused locations truly have nothing behind it all. Tune in as we begin this deeper discussion. Thanks for listening and remember to like, rate, review, and email us at: cultscryptidsconspiracies@gmail.com or tweet us at @C3Podcast. We have some of our sources for research here: http://tinyurl.com/CristinaSourcesAlso check out our Patreon: www.patreon.com/cultscryptidsconspiracies. Thank you to T.J. Shirley for our theme.
ChatGPT, AlphaZero, Deepfakes, selbstfahrende Autos – Künstliche Intelligenz ist aus unserem Alltag nicht mehr wegzudenken. KI erleichtert inzwischen in vielen Bereichen unser Leben und hilft bei Problemlösungen, wie etwa in der Medizin oder in der Landwirtschaft. Aber KI-erzeugte Fake News fluten auch das Netz, Deepfakes imitieren Politiker täuschend echt und legen ihnen Worte in den Mund, die sie nie gesagt haben. Hinzu kommt: KI verbraucht Unmengen an Energie für die komplexen Rechenprozesse, die dahinterstecken. Und Künstliche Intelligenz wird mit Daten trainiert, die wir zum Beispiel auf Social Media zur Verfügung stellen. Aber was ist dann mit dem Datenschutz? Was, wenn eine KI mit Hilfe von Gesichtserkennung Menschen identifiziert und klassifiziert und sie dadurch Nachteile haben, etwa im Beruf oder im Alltag? Ein Podcast über antike Vorstellungen von Künstlicher Intelligenz, den ersten Chatbot der Geschichte und die Frage: Versteht eine KI eigentlich Humor? Gesprächspartner*innen Mar Hicks Christopher Koska Adrienne Mayor Dinah Pfau Richard Socher Team Moderation: Mirko Drotschmann Sprecher*innen: Andrea Kath, Nils Kretschmer, Lauralie Schweiger Buch und Regie: objektiv media GmbH, Janine Funke und Andrea Kath Technik: Sascha Schiemann Musik: Sonoton Produktion: objektiv media GmbH im Auftrag des ZDF Redaktion ZDF: Katharina Kolvenbach Literatur Abbate, Janet (2000): Inventing the Internet (Inside Technology). Catani, Stephanie (Hrsg.) (2024): Handbuch Künstliche Intelligenz und die Künste. Dendorfer, Jürgen; Hochbruck, Wolfgang; Pape, Jessica (2024): Ritter Basisartikel: Ritterspiele: Das höfische Mittelalter als Geschichte und Projektion. Fischer, Ernst Peter (2023): Ein Scheiterhaufen der Wissenschaft: Die Großen an ihren Grenzen. Gutmann, Mathias; Wiegerling, Klaus; Rathgeber, Benjamin (Hrsg.) (2024): Handbuch Technikphilosophie. Hartmann, Doreen (2015): Zwischen Mathematik und Poesie. Leben und Werk von Ada Lovelace, in: Sybille Krämer (Hrsg.): Ada Lovelace. Die Pionierin der Computertechnik und ihre Nachfolgerinnen, S.15-33. Hicks, Mar (2017): Programmed Inequality: How Britain Discarded Women Technologists and Lost Its Edge in Computing (History of Computing). Klüver, Christina; Klüver, Jürgen (2022): Ewiges Leben durch künstliche Intelligenz und künstliche Gesellschaften. Koska, Christopher (2021): Ethik der Algorithmen. Auf der Suche nach Zahlen und Werten (Bd. 6). Menabrea, Luigi Frederico; Lovelace, Ada (1996), in: Grundriss der von Charles Babbage erfundenen Analytical Engine, S. 309-381. Mayor, Adrienne (2020): Götter und Maschinen. Wie die Antike das 21. Jahrhundert erfand. Project Metadata (2023): AI and Poetry. Settele, Veronika; Schmitt, Martin (2024): Cows and Computers. Electronic Data Processing in German Cattle Farming, 1960s-1990s. Weizenbaum, Joseph (1966): ELIZA—a computer program for the study of natural language communication between man and machine, in: Communications of the ACM, Volume 9, Issue 1, S.36-45. Internetquellen https://www.br.de/nachrichten/netzwelt/wenn-ki-freunde-zur-gefahr-werden-suizid-in-den-usa-zeigt-tragischen-verlauf-einer-ki-beziehung,USgb6Ux https://www.mpg.de/frauen-in-der-forschung/ada-lovelace https://www.swr.de/swrkultur/wissen/archivradio/frueheste-tonaufnahmen-100.html https://www.bbc.com/mundo/media-40632577 https://www.spiegel.de/netzwelt/web/john-mccarthy-der-vater-der-rechner-cloud-ist-tot-a-793795.html https://www.projekt-gutenberg.org/homer/ilias23/chap018.html https://www.portalkunstgeschichte.de/meldung/es_lebt__zur_geschichte_der_auto-6395.html https://www.technischesmuseum.at/museum/tmw-zine_-_unsere_storys/ki_zine/magazin_detail&j-cc-id=1625732690814&j-cc-node=magazineintrag&j-cc-name=hybrid-content
In episode 77 of the Eyes on Jesus podcast, hosts Drew and Tim welcome Joel Thomas, a researcher and podcaster who delves into the intersection of the supernatural, Biblical perspectives, and technological advancements. They discuss the rapid evolution of AI, particularly focusing on Chat GPT and the controversial claims of AI sentience. The conversation also touches on historical figures like Charles Babbage, the origins of computing technology, and the potential spiritual influences behind technological advancements. Joel emphasizes the importance of discernment and maintaining faith in navigating the complexities of modern technology without succumbing to fear. The episode concludes with a compelling dialogue on integrating faith and technology responsibly. Could AI be manipulated by supernatural entities? For Joel's podcast and full episode on AI https://open.spotify.com/episode/3QMPQtMyejthnv3PWiSpR2?si=6FxjsqRmTRiaIgl6XaxqrQ Connect with Joel at https://linktr.ee/joelthomasmedia Get the most comfortable shirts we've ever worn with powerful Christian messages! And support the show! https://kingdomandwill.com/ Use code: EYESONJESUS for 15% off Get all our links in one easy place! https://linktr.ee/eyesonjesuspodcast Join our Group on Facebook- Eyes on Jesus podcast community https://www.facebook.com/groups/eyesonjesuspodcast Email feedback, questions or show topic ideas to eyesonjesuspodcast@outlook.com For more information on Drew Barker: Follow Drew on Instagram https://www.instagram.com/pastordrewbarker Drew's church's website https://yes.online/ For more information on Tim Ferrara: Get all his links in one place- to his social media, all 3 of his books, and more at https://linktr.ee/discerning_dad Timestamps: 00:00 Introduction 00:50 Meet Joel Thomas 01:40 Exploring Conspiracies and the Supernatural 05:13 Diving into AI and ChatGPT 07:48 Historical Context and Technological Advancements 20:14 Charles Babbage and the Occult 24:39 Invoking the Devil: A Young Boy's Experiment 25:47 Charles Babbage: The Father of Modern Computing 27:11 The Supernatural Influence on Innovators 28:22 Blake Lemoine and the Sentient AI 31:31 AI in Everyday Life: The Hidden Truth 33:13 The Ethical Dilemma of AI 36:52 The Future of AI and Robotics 42:08 Balancing Technology and Faith 43:29 Final Thoughts and Encouragement
Register here for AWS re:Invent 2024, Dec 2-6, Las Vegas, NV-------David Gildea of Druva shares their approach to building cost-effective, fast generative AI applications, focusing on cybersecurity, data protection, and the innovative use of LLMs for simplified, natural language threat detection.Topics Include:Introduction by Dave Gildea, VP of Product at Druva.Focus on building generative AI applications.Emphasis on cost and speed optimization.Mention of Amazon's Matt Wood keynote.AI experience with kids using "Party Rock."Prediction: GenAI as future workplace standard.Overview of Druva's data security platform.Three key Druva components: protection, response, and compliance.Druva's autonomous, rapid, and guaranteed recovery.Benefits of Druva's 100% SaaS platform.Handling 7 billion backups annually.Managing 450 petabytes across 20 global regions.Druva's high NPS score of 89.Introduction to Dru Investigate AI platform.Generative AI for cybersecurity and threat analysis.Support for backup and security admins.Simplified cybersecurity threat detection.AI-based natural language query interpretation.Historical analogy with Charles Babbage's steam engine."Fail upwards" model for LLM optimization.Using small models first, escalating to larger ones.API security and customer data protection.Amazon Bedrock and security guardrails.Testing LLMs with Amazon's new prompt evaluation tool.Speculation on $100 billion future model costs.Session wrap upParticipants:· David Gildea - VP Product Generative AI, GM of CloudRanger, DruvaSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
El 18 de octubre de 1871 falleció el británico Charles Babbage, inventor, excéntrico, aventurero y pionero de la computación.
With the rise of artificial intelligence integrated into most aspects of technology, what is the probability that some algorithms are supernatural? Could this interdimensional intelligence hail from a time of ancient technology before a worldwide deluge? Joel tackles the ultra-terrestrial side of technology by looking at Charles Babbage, the “Father of Computers”, and his proposed Faustian pact to conjure the devil by blood. He then examines the alarming connection between technological discoveries and ultra-terrestrial psychic downloading into past and present geniuses. Lastly, Joel connects the dead Nephilim spirits and futuristic chat programs with Blake Lemoine's alleged sentient discovery of Google's large language model AI, Lambda. Ohio Bigfoot Jamboree: Information Website: https://linktr.ee/joelthomasmedia Follow: Instagram | X | Facebook Watch: YouTube | Rumble Music: YouTube | Spotify | Apple Music Films: merkelfilms.com Email: freetherabbitspodcast@gmail.com Distributed by: merkel.media Produced by: @jack_theproducer OUTRO MUSIC Joel Thomas - Pulp YouTube | Apple Music | Spotify
Whether you attended Taylor Swift's Eras Tour or took a trip to a Disney park this summer, you may not realize there is an Oregon connection between the two. Michael Curry Design is a creative studio in Scappoose that has crafted puppets, stage pieces and more for a variety of venues. From artist tours to theatrical productions, the creatives at MCD have left their mark on stages and performances not just across the country, but around the world. Michael Curry is the founder, president and owner of MCD. Charles Babbage is the lead art director. They join us to share more on their work.
Jason takes another L with a failed invention. We talk LA Gangs. Charles Babbage. Guns that shoot knives, etc. All the important stuffFor the Good Episodes with High Profile Guests, find them ONLY on Patreon.com/BadcomedyFor the EXCLUSIVE Weekly GOOD Episodes, with High Profile Guests, find them ONLY on Patreon.com/BadcomedyHosts: Mack Nepper @badboyofcomedyJason Melton @jasonmeltoncomedyvidsRecorded at BAD COMEDY! Studios Chicago, IL PLEASE LIKE AND SUBSCRIBE! _________________________________________________Follow Bad Comedy! PodcastIG/FB/Tik Tok/YouTube- @badcomedypodcastLinkTree: linktr.ee/badcomedypodcastHostsMACK NEPPERIG/FB/TikTok/Twitter: @badboyofcomedy-LinkTree: linktr.ee/badboyofcomedyJASON MELTONIG/FB/TikTok/Twitter: @cooljasonmelton-Twitch: @jasonmeltontwitch-Comedy Special “Vanity Project” on Youtube: @jasonmeltoncomedyvids-Haha to Hell | Reggies, Chicago | IG: @hahatohell-End of the Line | Nighthawk, Chicago | IG: @endofthelinecomedyshow-Beer Belly Open Mic Pony Inn Chicago | IG: @beerbellyopenmic _______________________________________________________________________#comedypodcast #comedy #funny #standupcomedy #chicagocomedy #podcast #satire #satirecomedy #absurdcomedy #absurdist #comedian #comedians #edgelord #edgy #offensive #offensivehumor
Ever wondered how the digital revolution came to be? Was it the work of lone geniuses, or was there something more at play? In this episode, we delve into Walter Isaacson's "The Innovators," uncovering the collaborative efforts and key principles that have shaped our technological landscape.In the world of investing and entrepreneurship, building a multidisciplinary mental model is key to success. "The Innovators" reveals that diverse, collaborative teams have historically been the driving force behind groundbreaking solutions.In my martial arts days, a coach taught me to study exceptional role models – a strategy akin to the famous Harvard Business Cases. Analyze success, discover core principles, then adapt them to your own unique path. After all, as Bruce Lee said, "Absorb what is useful, reject what is useless, and add what is essentially your own."That's the lens I bring to biographies – extracting valuable lessons amidst the complexities of each individual story.This episode dissects 10 crucial tools for fostering innovation, drawing on stories from the book and my own experiences as an entrepreneur and investor. From visionary thinking and customer-centricity to the power of persistence and collaboration, we'll explore the strategies that can help you identify winning teams and create an environment where innovation thrives.Book on Amazon[Link to Amazon]Problems This Solves:Overwhelmed by history books? This concise summary delivers the most relevant insights for entrepreneurs and investors.Unsure how to apply innovation principles? We'll provide actionable takeaways and reflection questions.Curious about the minds behind the digital age? Gain insights into the collaborative spirit that drives technological progress.Why Listen:Discover the 10 tools for innovation: Uncover the strategies that have fueled successful collaborations and groundbreaking technologies.Learn from real-world examples: Hear stories from the book and my own experiences that illustrate these principles in action.Apply the lessons to your own ventures: Reflect on how you can foster innovation and build winning teams in your own organization.Quotes:"Creativity is a collaborative process. Innovation comes from teams more often than from the lightbulb moments of lone geniuses." - Walter Isaacson"The best way to predict the future is to invent it." - Alan Kay (as quoted in "The Innovators")Timestamps:(00:00) Intro(04:18) Walter Isaacson(08:21) Overview of the Book(12:28) Tool #1: Ada Lovelace and the Power of Visionary Thinking(18:01) Tool #2: Collaborative Teamwork(23:13) Tool #3: Craftsmanship(29:00) Tool #4: The Entrepreneurial Spirit and Culture of Innovation(35:32) Tool #5: Leadership that Breeds Innovation(42:13) Tool #6: Persistent Innovation(47:19) Tool #7: Public Awareness and Advocacy(53:48) Tool #8: Customer Centricity(58:51) Tool #9: Technicians Collaborating with Business People(01:03:20) Tool #10: Building Collaborative Ecosystems(01:07:55) Key Takeaways(01:14:00) Tl;dr Episode SummarySend us a Text Message.Support the Show.Join the Podcast Newsletter: Link
When Lord Byron's 17 year-old daughter, Ada Lovelace, attended a soirée at the home of academic Charles Babbage on 5th June, 1833, the pair hit it off immediately. He invited her to see his ‘Difference Engine' - an early mechanical calculator - kicking off a correspondence that lasted throughout her life. Their lively, intellectual correspondence, and Ada's deep understanding of mathematics and science, lead to her championing of Babbage's ‘Analytical Engine', a groundbreaking proto personal computer for which Ada even wrote an algorithm. In this episode, Arion, Rebecca and Olly debate whether Ada deserves her 21st century acclaim as the godmother of computer programming; expose her extramarital affairs and gambling habit; and consider whether Babbage himself even fully understood the applications for what he had invented… Further Reading: • ‘Charles Babbage's Difference Engines and the Science Museum' (Science Museum, 2023): https://www.sciencemuseum.org.uk/objects-and-stories/charles-babbages-difference-engines-and-science-museum • ‘How Ada Lovelace and Charles Babbage Invented the World's First Computer: An Illustrated Adventure in Footnotes and Friendship' (The Marginalian, 2015): https://www.themarginalian.org/2015/06/15/the-thrilling-adventures-of-lovelace-and-babbage-sydney-padua/ • ‘Ada Lovelace in “Victoria” (ITV, 2019): https://www.youtube.com/watch?v=yOoCOUDdoeA Love the show? Support us! Join
En el episodio de hoy de "10 Minutos con Sami", nos sumergimos en tres noticias superinteresantes. Comenzamos con la gran interrupción de ChatGPT que dejó a millones de usuarios frustrados alrededor del mundo. Analizamos los motivos detrás de esta falla y las hilarantes reacciones en redes sociales. Luego, exploramos cómo los avances en inteligencia artificial están revolucionando la predicción meteorológica, con ejemplos como Aurora de Microsoft y las innovadoras técnicas de recopilación de datos de Windborne Systems. Finalmente, retrocedemos en el tiempo para reconocer la increíble contribución de Ada Lovelace en la historia de la computación, quien, en 1843, con sus notas sobre la Máquina Analítica de Charles Babbage, sentó las bases de lo que hoy conocemos como programación informática. Fuentes: https://techcrunch.com/2024/06/04/chatgpt-is-down-for-several-users-openai-is-working-on-a-fix/, https://www.theverge.com/2024/6/4/24171264/chatgpt-down-outage-errors, https://www.hindustantimes.com/world-news/us-news/chatgpts-2nd-major-outage-of-the-day-brings-internet-back-to-the-middle-ages-meme-fire-erupts-on-social-media-101717520215005.html, https://www.techradar.com/news/live/chatgpt-is-down-heres-what-we-know-about-the-outage-so-far, https://www.androidauthority.com/chatgpt-is-down-for-users-3448619/, https://arxiv.org/abs/2312.02658, https://arstechnica.com/ai/2024/06/as-a-potentially-historic-hurricane-season-looms-can-ai-forecast-models-help/, https://www.cnbc.com/2024/06/03/khosla-ventures-backs-wineborne-a-startup-using-ai-to-upend-forecasts.html, https://www.nature.com/articles/s41612-024-00638-w, https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere/, https://maa.org/press/periodicals/convergence/mathematical-treasure-ada-lovelaces-notes-on-the-analytic-engine, https://www.cs.yale.edu/homes/tap/Files/ada-lovelace-notes.html, https://www.cs.virginia.edu/~robins/Ada_and_the_First_Computer.pdf, https://blogs.bodleian.ox.ac.uk/adalovelace/2018/07/26/ada-lovelace-and-the-analytical-engine/, https://www.sciencefocus.com/future-technology/how-ada-lovelaces-notes-on-the-analytical-engine-created-the-first-computer-program Redes: Puedes buscarme por redes sociales como Threads, Twitter e Instagram con @olivernabani, y puedes encontrarme habitualmente en Twitch: http://twitch.tv/olivernabani Puedes encontrar tanto este Podcast como otro contenido original en YouTube: https://youtube.com/olivernabani Además si quieres participar en la comunidad mashain, tenemos un server de Discord donde compartimos nuestras inquietudes: https://discord.gg/7M2SEfbF Un canal de Telegram donde os aviso de novedades y contenidos: https://t.me/sedicemashain Y un canal de Whatsapp: https://whatsapp.com/channel/0029VaCSKOzFCCoavMoLwX43 Y por supuesto lo más importante, recuerda: No se dice Machine, se dice Mashain
Why do you struggle with your grand attempts to escape distraction and aimlessness to make your life deeper? In this episode, Cal draws on an unexpected metaphor – Charles Babbage, Ada Lovelace, and the Analytical Engine – to help identify the subtle obstacle on your path to increase depth. With this new understanding in hand, he then details a specific gameplan to get around it. Later, he takes questions from the audience and reacts to the new AI Pin, a tool intended to render smartphones obsolete.Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode: youtube.com/calnewportmediaDeep Dive: The Deep Life Hardware [4:09]- Does personal productivity make us anxious? [34:04]- How can I build skills without getting in the way of my existing work? [42:11]- How can I build a deeper life after years of neglect? [46:00]- How is Sam Sulek's stripped down YouTube channel doing so well? [52:12]- How can I convince my husband that I'm not a time management snob? [1:02:38]- CALL: Obsessing over quality [1:06:04]CASE STUDY: Shifting a mindset to do more deep work [1:11:04] CAL REACTS: Is the Al Pin the End of Smartphones? [1:17:46]Links:Buy Cal's latest book, “Slow Productivity” at www.calnewport.com/slow computerhistory.org/babbage/engines/theverge.com/24126502/humane-ai-pin-reviewpodcasts.apple.com/us/podcast/conversation-with-cal-newport-the-key-to/id1498802610?i=1000652834277 samharris.org/podcasts/making-sense-episodes/363-knowledge-work Use this link to preorder a signed copy of “Slow Productivity”: https://peoplesbooktakoma.com/preorder-slow-productivity/Thanks to our Sponsors: rhone.com/calshopify.com/deeppolicygenius.com/deepquestionsgrammarly.com/podcasttim.blogThanks to Jesse Miller for production, Jay Kerstens for the intro music, Kieron Rees for slow productivity music, and Mark Miles for mastering.
Nous sommes en 1842, à Londres. Ada Lovelace, fille de l'illustre poète George Byron, travaille à la description de ce que l'on appelle « la machine analytique », mise au point par le mathématicien, précurseur de l'informatique, Charles Babbage. Machine jamais réalisée mais qui est l'un des ancêtres de l'ordinateur. Elle note : "De nombreuses personnes, qui ne s'y connaissent guère en mathématiques imaginent que, puisque le travail de la machine est de fournir ses résultats en notation numérique, la nature de ses processus soit, en conséquence, être arithmétique et numérique, plutôt qu'algébrique et analytique. C'est là une erreur. La machine peut manipuler et combiner des quantités numériques exactement comme si c'étaient des lettres ou n'importe quels autres symboles généraux; et en fait elle peut fournir des résultats en notation algébrique, pourvu qu'elle ait été alimentée de même (...)" Elle observe encore : "La Machine Analytique n'a aucune prétention à inventer quoi que ce soit. Elle peut faire toutes les choses dont nous savons comment lui dire de les traiter. Elle peut suivre les formules de l'analyse; mais elle n'a aucun pouvoir de découvrir quelque relation ou vérité analytique que ce soit. Sa compétence est de nous assister en rendant disponible ce à quoi nous sommes familiarisés. " Et d'ajouter : "Mais il se peut qu'elle exerce une influence indirecte et réciproque sur la science d'une autre manière. Car, en combinant ainsi les vérités et les formules de l'analyse [...], les relations et la nature de nombreux sujets de cette science se trouveront éclairées sous des jours différents, et de ce fait plus profondément explorées. C'est indéniablement une conséquence indirecte, et quelque peu spéculative, d'une telle invention." Chemin faisant, au gré de ses observations, Ada Lovelace réalise le premier véritable programme informatique. Elle est une pionnière. Partons à sa rencontre… Invitée : Eliane Van den Ende, historienne. Merci pour votre écoute Un Jour dans l'Histoire, c'est également en direct tous les jours de la semaine de 13h15 à 15h sur www.rtbf.be/lapremiere Retrouvez tous les épisodes d'Un Jour dans l'Histoire sur notre plateforme Auvio.be : https://auvio.rtbf.be/emission/5936 Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement.
In this episode we explore the history of the brain. Brains in jars, brains in slices, brains under the microscope - more brains than you can shake a wet slice of human brain at. From Einstein's brain chopped into 240 pieces to Charles Babbage, who at least only had his sliced in two. We also explore the history of emotions – with a bit of good old stiff upper lip we keep calm and carry on. And we delve into the history of mental illness – how Victorians were convinced you could be too loud, too quiet, too happy, too sad, but it was a tightrope walk to be just right for Victorian society. Subscribe to our newsletter to keep up to date with our latest podcasts, videos and events. Subscribe here: https://www.rcpe.ac.uk/heritage/sign-our-heritage-newsletter Website: www.rcpe.ac.uk/heritage Twitter: twitter.com/RCPEHeritage Credits Researcher and presenter: Laura Burgess has been a volunteer with RCPE Heritage since 2021 after completing her MA in History from UNC Charlotte. Editor and producer: Sarah E Hayward completed her PhD in Museums and Heritage Studies at Kingston University London in 2023. She has been a volunteer with RCPE Heritage since 2021. She has a passion for archival research and she loves to explore creative ways to assemble and share the hidden stories she uncovers. Researcher and presenter: Olivia Howarth is a volunteer with RCPE Heritage, a recently qualified archivist, heritage enthusiast and self-proclaimed lifetime nerd with an interest in medical history. Historical clip: Professor David Purdie
During the 18th century, early animatronics were hot. They were featured in circuses, carnivals, and other touring exhibitions, and were usually built and operated with various parts like axles, chains, cogs, gears, levers, pulleys, wheels, wind-up keys – you get the point. For Austrian Empress Maria Theresa, in 1769, Hungarian inventor Wolfgang von Kempelen's created the Mechanical Turk, a chess-playing machine that could beat almost any person who played against it. The Turk appeared to be a fully functional artificial intelligence to those who saw and interacted with it. It left audiences delighted, but baffled as to how it worked -- until a young poet named Edgar Allan Poe convinced many audiences it was not what it seemed.See omnystudio.com/listener for privacy information.
We finish up the crime issues, the bloody codes, private prosecution of crime, transportation to Australia, that we began last episode. Then we move into the consequences of the Glorious Revolution, legitimacy and the changing role of Parliament, and Parliament as a meta institution. We get a flavor of Joel Mokyr's coverage of intellectual property rights, with views expressed in favor of the patent system by Goethe, Adam Smith and John Stuart Mill, and valid complaints made by Charles Dickens and Charles Babbage.As usual with British institutions, we contrast them favorably with continental institutions, no matter how shambolic, the British institutions are so often better.
Episode Notes Rachael Wright-Munn (ChaelCodes) talks about her love of programming games (games with programming elements in them, not how to make games!), starting her streaming career with regex crosswords, and how streaming games and open source every week led her to a voice acting role in one of her favorite programming games. Recorded at RubyConf 2023 in San Diego. mastodon twitch Personal website Programming Games mentioned: Regex Crossword SHENZHEN I/O EXAPUNKS 7 Billion Humans One Dreamer Code Rom@ntic Bitburner Transcript You can help edit this transcript on GitHub. Jeremy: I'm here at RubyConf San Diego with Rachel Wright-Munn, and she goes by Chaelcodes online. Thanks for joining me today. Rachael: Hi, everyone. Hi, Jeremy. Really excited to be here. Jeremy: So probably the first thing I'll ask about is on your web page, and I've noticed you have streams, you say you have an interest in not just regular games, but programming games, so. Rachael: Oh my gosh, I'm so glad you asked about this. Okay, so I absolutely love programming games. When I first started streaming, I did it with Regex Crossword. What I really like about it is the fact that you have this joyful environment where you can solve puzzles and work with programming, and it's really focused on the experience and the joy. Are you familiar with Zach Barth of Zachtronics? Jeremy: Yeah. So, I've tried, what was it? There's TIS-100. And then there's the, what was the other one? He had one that's... Rachael: Opus Magnum? Shenzhen I/O? Jeremy: Yeah, Shenzhen I/O. Rachael: Oh, my gosh. Shenzhen I/O is fantastic. I absolutely love that. The whole conceit of it, which is basically that you're this electronics engineer who's just moved to Shenzhen because you can't find a job in the States. And you're trying to like build different solutions for these like little puzzles and everything. It was literally one of the, I think that was the first programming game that really took off just because of the visuals and everything. And it's one of my absolute favorites. I really like what he says about it in terms of like testing environments and the developer experience. Cause it's built based on assembly, right? He's made a couple of modifications. Like he's talked about it before where it's like The memory allocation is different than what it would actually look like in assembly and the way the registers are handled I believe is different, I wouldn't think of assembly as something that's like fun to write, but somehow in this game it is. How far did you get in it? Jeremy: Uh, so I didn't get too far. So, because like, I really like the vibe and sort of the environment and the whole concept, right, of you being like, oh, you've been shipped off to China because that's the only place that these types of jobs are, and you're working on these problems with bad documentation and stuff like that. And I like the whole concept, but then the actual writing of the software, I was like, I don't know. Rachael: And it's so hard, one of the interesting things about that game is you have components that you drop on the board and you have to connect them together and wire them, but then each component only has a specific number of lines. So like half the time I would be like, oh, I have this solution, but I don't have enough lines to actually run it or I can't fit enough components, then you have to go in and refactor it and everything. And it's just such a, I don't know, it's so much fun for me. I managed to get through all of the bonus levels and actually finish it. Some of them are just real, interesting from both a story perspective and interesting from a puzzle perspective. I don't wanna spoil it too much. You end up outside Shenzhen, I'll just say that. Jeremy: OK. That's some good world building there. Rachael: Yeah. Jeremy: Because in your professional life, you do software development work. So I wonder, what is it about being in a game format where you're like, I'm in it. I can do it more. And this time, I'm not even being paid. I'm just doing it for fun. Rachael: I think for me, software development in general is a very joyful experience. I love it. It's a very human thing. If you think about it like math, language, all these things are human concepts and we built upon that in order to build software in our programs and then on top of that, like the entire purpose of everything that we're building is for humans, right? Like they don't have rats running programs, you know what I mean? So when I think about human expression and when I think about programming, these two concepts are really closely linked for me and I do see it as joyful, But there are a lot of things that don't spark joy in our development processes, right? Like lengthy test suites, or this exhausting back and forth, or sometimes the designs, and I just, I don't know how to describe it, but sometimes you're dealing with ugly code, sometimes you're dealing with code smells, and in your professional developer life, sometimes you have to put up with that in order to ship features. But when you're working in a programming game, It's just about the experience. And also there is a correct solution, not necessarily a correct solution, but like there's at least one correct solution. You know for a fact that there's, that it's a solvable problem. And for me, that's really fun. But also the environment and the story and the world building is fun as well, right? So one of my favorite ones, we mentioned Shenzhen, but Zachtronics also has Exapunks. And that one's really fun because you have been infected by a disease. And like a rogue AI is the only one that can provide you with the medicine you need to prevent it. And what this disease is doing is it is converting parts of your body into like mechanical components, like wires and everything. So what you have to do as an engineer is you have to write the code to keep your body running. Like at one point, you were literally programming your heart to beat. I don't have problems like that in my day job. In my day job, it's like, hey, can we like charge our customers more? Like, can we put some banners on these pages? Like, I'm not hacking anybody's hearts to keep them alive. Jeremy: The stakes are a little more interesting. Yeah, yeah. Rachael: Yeah, and in general, I'm a gamer. So like having the opportunity to mix two of my passions is really fun. Jeremy: That's awesome. Yeah, because that makes sense where you were saying that there's a lot of things in professional work where it's you do it because you have to do it. Whereas if it's in the context of a game, they can go like, OK, we can take the fun problem solving part. We can bring in the stories. And you don't have to worry about how we're going to wrangle up issue tickets. Rachael: Yeah, there are no Jira tickets in programming games. Jeremy: Yeah, yeah. Rachael: I love what you said there about the problem solving part of it, because I do think that that's an itch that a lot of us as engineers have. It's like we see a problem, and we want to solve it, and we want to play with it, and we want to try and find a way to fix it. And programming games are like this really small, compact way of getting that dopamine hit. Jeremy: For sure. Yeah, it's like. Sometimes when you're doing software for work or for an actual purpose, there may be a feeling where you want to optimize something or make it look really nice or perform really well. And sometimes it just doesn't matter, right? It's just like we need to just put it out and it's good enough. Whereas if it's in the context of a game, you can really focus on like, I want to make this thing look pretty. I want to feel good about this thing I'm making. Rachael: You can make it look good, or you can make it look ugly. You don't have to maintain it. After it runs, it's done. Right, right, right. There's this one game. It's 7 Billion Humans. And it's built by the creators of World of Goo. And it's like this drag and drop programming solution. And what you do is you program each worker. And they go solve a puzzle. And they pick up blocks and whatever. But they have these shredders, right? And the thing is, you need to give to the shredder if you have like a, they have these like little data blocks that you're handing them. If you're not holding a data block and you give to the shredder, the worker gives themself to the shredder. Now that's not ideal inside a typical corporate workplace, right? Like we don't want employees shredding themselves. We don't want our workers terminating early or like anything like that. But inside the context of a game, in order to get the most optimal solution, They have like a lines of code versus fastest execution and sometimes in order to win the end like Lines of code. You just kind of have to shred all your workers at the, When I'm on stream and I do that when I'm always like, okay everybody close your eyes That's pretty good it's Yeah, I mean cuz like in the context of the game. Jeremy: I think I've seen where they're like little They're like little gray people with big eyes Yes, yes, yes, yes. Yeah, so it's like, sorry, people. It's for the good of the company, right? Rachael: It's for my optimal lines of code solution. I always draw like a, I always write a humane solution before I shred them. Jeremy: Oh, OK. So it's, you know, I could save you all, but I don't have to. Rachael: I could save you all, but I would really like the trophy for it. There's like a dot that's going to show up in the elevator bay if I shred you. Jeremy: It's always good to know what's important. But so at the start, you mentioned there was a regular expression crossword or something like that. Is that how you got started with all this? Rachael: My first programming game was Regex Crossword. I absolutely loved it. That's how I learned Regex. Rachael: I love it a lot. I will say one thing that's been kind of interesting is I learned Regex through Regex Crossword, which means there's actually these really interesting gaps in my knowledge. What was it? at Link Tech Retreat, they had like a little Regex puzzle, and it was like forward slash T and then a plus, right? And I was like, I have no idea what that character is, right? Like, I know all the rest of them. But the problem is that forward slash T is tab, and Regex crossword is a browser game. So you can't have a solution that has tab in it. And have that be easy for users. Also, the idea of like greedy evaluation versus lazy evaluation doesn't apply, because you're trying to find a word that satisfies the regex. So it's not necessarily about what the regex is going to take. So it's been interesting finding those gaps, but I really think that some of the value there was around how regex operates and the rules underlying it and building enough experience that I can now use the documentation to fill in any gaps. Jeremy: So the crossword, is it where you know the word and you have to write a regular expression to match it? Or what's the? Rachael: They give you regex. And there's a couple of different versions, right? The first one, you have two regex patterns. There's one going up and down, and there's one going left and right. And you have to fill the crossword block with something that matches both regular expressions. Rachael: Then we get into hexagonal ones. Yeah, where you have angles and a hexagon, and you end up with like three regular expressions. What's kind of interesting about that one is I actually think that the hexagonal regex crosswords are a little bit easier because you have more rules and constraints, which are more hints about what goes in that box. Jeremy: Interesting. OK, so it's the opposite of what I was thinking. They give you the regex rules, and then you put in a word that's going to satisfy all the regex you see. Rachael: Exactly. When I originally did it, they didn't have any sort of hints or anything like that. It was just empty. Now it's like you click a box, and then they've got a suggestion of five possible letters that could go in there. And it just breaks my heart. I liked the old version that was plainer, and didn't have any hints, and was harder. But I acknowledge that the new version is prettier, and probably easier, and more friendly. But I feel like part of the joy that comes from games, that comes from puzzles, It comes from the challenge, and I miss the challenge. Jeremy: I guess someone, it would be interesting to see people who are new to it, if they had tried the old way, if they would have bounced off of it. Rachael: I think you're probably right. I just want them to give me a toggle somewhere. Jeremy: Yeah, oh, so they don't even let you turn off the hints, they're just like, this is how it is. Rachael: Yep. Jeremy: Okay. Well, we know all about feature flags. Rachael: And how difficult they are to maintain in perpetuity. Jeremy: Yeah, but no, that sounds really cool because I think some things, like you can look up a lot of stuff, right? You can look up things about regex or look up how to use them. But I think without the repetition and without the forcing yourself to actually go through the motion, without that it's really hard to like learn and pick it up. Rachael: I completely agree with you. I think the repetition, the practice, and learning the paradigm and patterns is huge. Because like even though I didn't know what forward slash t plus was, I knew that forward slash t was going to be some sort of character type. Jeremy: Yeah, it kind of reminds me of, there was, I'm not sure if you've heard of Vim Adventures, but... Rachael: I did! I went through the free levels. I had a streamerversary and my chat had completed a challenge where I had to go learn Vim. So I played a little bit of Vim Adventures. Jeremy: So I guess it didn't sell you. Rachael: Nope, I got Vim Extensions turned on. Jeremy: Oh, you did? Rachael: Yeah, I have the Vim extension turned on in VS Code. So I play with a little bit of sprinkling of Vim in my everyday. Jeremy: It's kind of funny, because I am not a Vim user in the sense that I don't use it as my daily editor or anything like that. But I do the same thing with the extensions in the browser. I like being able to navigate with the keyboard and all that stuff. Rachael: Oh, that is interesting. That's interesting. You have a point like memorizing all of the different patterns when it comes to like Keyboard navigation and things like that is very similar to navigating in Vim. I often describe writing code in Vim is kind of like solving a puzzle in order to write your code So I think that goes back to that Puzzle feeling that puzzle solving feeling we were having we were talking about before. Jeremy: Yeah, I personally can't remember, but whenever I watch somebody who's, really good at using Vim, it is interesting to see them go, oh, yes, I will go to the fifth word, and I will swap out just this part. And it's all just a few keystrokes, yeah. Rachael: Very impressive. Can be done just as well with backspace and, like, keyboard, like, little arrows and everything. But there is something fun about it and it is... Faster-ish. Jeremy: Yeah, I think it's like I guess it depends on the person, but for some people it's like they, they can think and do things at the speed that they type, you know, and so for them, I guess the the flow of, I'm doing stuff super fast using all these shortcuts is probably helpful to them. Rachael: I was talking to someone last night who was saying that they don't even think about it in Vim anymore. They just do it. I'm not there yet. (laughs) Jeremy: Yeah, I'll probably never be there (laughs) But yeah, it is something to see when you've got someone who's really good at it. Rachael: Definitely. I'm kind of glad that my chat encouraged and pressured me to work with Vim. One of the really cool things is when I'm working on stuff, I'll sometimes be like, oh, I want to do this. Is there a command in Vim for that? And then I'll get multiple suggestions or what people think, and ideas for how I can handle things better. Someone recently told me that if you want to delete to the end of a line, you can use capital D. And this whole time I was doing lowercase d dollar sign. Jeremy: Oh, right, right, right. Yeah. Yeah, it's like there's so many things there that, I mean, we should probably talk about your experiences streaming. But that seems like a really great benefit that you can be working through a problem or just doing anything, really. And then there's people who they're watching, and they're like, I know how to do it better. And they'll actually tell you, yeah. Rachael: I think that being open to that is one of the things that's most important as a streamer. A lot of people get into this cycle where they're very defensive and where they feel like they have to be the expert. But one of the things that I love about my chat is the fact that they do come to me with these suggestions. And then I can be open to them, and I can learn from them. And what I can do is I can take those learnings from one person and pass it on to the other people in chat. I can become a conduit for all of us to learn. Jeremy: So when you first decided to start streaming, I guess what inspired you to give it a shot? Like, what were you thinking? Rachael: That's a great question. It's also kind of a painful question. So the company that I was working for, I found out that there were some pay issues with regards to me being a senior, promotion track, things like that. And it wasn't the first time this had happened, right? Like, I often find that I'm swapping careers every two to three years because of some miserable experience at the company. Like you start and the first year is great. It's fantastic. It's awesome. But at the end of it, you're starting to see the skeletons and that two to three years later you're burnt out. And what I found was that every two to three years I was losing everything, right? Like all of my library of examples, the code that I would reference, like that's in their private repo. When it came to my professional network, the co -workers that liked and respected me, we had always communicated through the workplace Slack. So it's really hard to get people to move from the workplace Slack to like Instagram or Twitter or one of those other places if that's not where, if that's not a place where you're already used to talking to them. And then the other thing is your accomplishments get wiped out, right? Like when you start at the next company and you start talking about promotion and things like that, the work that you did at previous companies doesn't matter. They want you to be a team lead at that company. They want you to lead a massive project at that company and that takes time. It takes opportunities and Eventually, I decided that I wanted to exist outside my company. Like I wanted to have a reputation that went beyond that and that's what originally inspired me to stream And it's pretty hard to jump from like oh. I got really frustrated and burnt out at my company to I've got it I'm gonna do some regex crossword on stream, but honestly, that's what it was right was I just wanted to slowly build this reputation in this community outside of of my company and it's been enormously valuable in terms of my confidence, in terms of my opportunities. I've been able to pick up some really interesting jobs and I'm able to leverage some of those experiences in really clear professional ways and it's really driven me to contribute more to open source. I mentioned that I have a lot of people like giving me advice and suggestions and feedback. That's enormously helpful when you're going out there and you're trying to like get started in open source and you're trying to build that confidence and you're trying to build that reputation. I often talk about having a library of examples, right? Like your best code that you reference again and again and again. If I'm streaming on Twitch, everything that I write has to be open source because I'm literally showing it on video, right? So it's really encouraged me to build that out. And now when I'm talking to my coworkers and companies, I can be like, oh, we need to talk about single table inheritance. I did that in Hunter's Keepers. Why don't we go pull that up and we'll take a look at it. Or are we building a Docker image? I did that in Hunter's Keepers and Conf Buddies. Why don't we look at these, compare them, and see if we can get something working here, right? Like I have all of these examples, and I even have examples from other apps as well. Like I added Twitch Clips to 4M. So when I want to look at how to build a liquid tag, because Jekyll uses liquid tags as well. So when I'm looking at that, I can hop to those examples and hop between them, and I'm never going to lose access to them. Jeremy: Yeah, I mean, that's a really good point where I think a lot of people, they do their work at their job and it's never going to be seen by anyone and you can sort of talk about it, but you can't actually show anybody what you did. So it's like, and I think to that point too, is that there's some knowledge that is very domain specific or specific to that company. And so when you're actually doing open source work, it's something that anybody can pick up and use and has utility way beyond just your company. And the whole point of creating this record, that makes a lot of sense too, because if I wanna know if you know how to code, I can just see like, wow, she streams every Thursday. She's clearly she knows what she's doing and you know, you have these also these open source contributions as well So it's it's sort of like it's not this question of if I interview you It's it's not I'm just going off of your word that and I believe what you're saying. But rather it's kind of the proof is all it's all out there. Rachael: Oh, definitely if I were to think about my goals and aspirations for the future I've been doing this for four years still continuing But I think I would like to get to the point where I don't really have to interview. Where an interview is more of a conversation between me and somebody who already knows they want to hire me. Jeremy: Have you already started seeing a difference? Like you've been streaming for about four years I think Rachael: I had a really interesting job for about eight months doing developer relations with New Relic. That was a really interesting experience. And I think it really pushed the boundaries of what I understood myself to be capable of because I was able to spend 40 hours a week really focused on content creation, on blogging, on podcasting, on YouTube videos and things like that. Obviously there was a lot of event organization and things like that as well. But a lot of the stuff that came out of that time is some of my best work. Like I, I'm trying to remember exactly what I did while I was at New Relic, but I saw a clear decrease afterwards. But yeah, I think that was probably close to the tipping point. I don't for sure know if I'm there yet, right? Like you never know if you're at the point where you don't have to interview anymore until you don't have to interview. But the last two jobs, no, I haven't had to interview. Jeremy: So, doing it full -time, how did you feel about that versus having a more traditional lead or software developer role? Rachael: It was definitely a trade-off. So I spent a lot less time coding and a lot more time with content, and I think a little bit of it was me trying to balance the needs and desires of my audience against the needs and desires of my company. For me, and this is probably going to hurt my chances of getting one of those jobs where I don't have to interview in the future, but my community comes first, right? They're the people who are gonna stick with me when I swap between jobs, but that was definitely something that I constantly had to think about is like, how do I balance what my company wants from me with the responsibility that I have to my community? But also like my first talk, your first open source contribution, which was at RubyConf Denver, Like, that was written while I was at New Relic. Like, would I have had the time to work on a talk in addition to the streaming schedule and everything else? Um, for a period of time, I was hosting Ruby Galaxy, which was a virtual meetup. It didn't last very long, and we have deprecated it. Um, I deprecated it before I left the company because I wanted to give it, like, a good, clean ending versus, um, necessarily having it, like, linger on and be a responsibility for other people. but... I don't think I would have done those if I was trying to balance it with my day job. So, I think that that was an incredible experience. That said, I'm very glad it's over. I'm very glad that the only people I'm beholden to are my community now. Jeremy: So, is it the sheer amount that you had to do that was the main issue? Or is it more that that tension between, like you said, serving your audience and your community versus serving your employer? Rachael: Oh, a lot of it was tension. A lot of it was hectic, event management in general. I think if you're like planning and organizing events, that's a very challenging thing to do. And it's something that kind of like goes down to the deadline, right? And it's something where everybody's trying to like scramble and pull things together and keep things organized. And that was something that I don't think I really enjoyed. I like to have everything like nice and planned out and organized and all that sort of stuff, and I don't think that that's Something that happens very often in event management at least not from my experience So these were like in -person events or what types of events like I actually skipped out before the in -person events. They would have been in -person events. We had future stack at New Relic, which is basically like this big gathering where you talk about things you can do with New Relic and that sort of stuff. We all put together talks for that. We put together an entire like. Oh gosh, I'm trying to remember the tool that we use, but it was something similar to gather round where you like interact with people. And there's just a lot that goes into that from marketing to event planning to coordinating with everyone. I'm grateful for my time at New Relic and I made some incredible friends and some incredible connections and I did a lot, but yeah, I'm very glad I'm not in DevRel anymore. I don't, if you ask any DevRel, They'll tell you it's hectic, they'll tell you it's chaotic, and they'll tell you it's a lot of work. Jeremy: Yeah. So it sounds like maybe the streaming and podcasting or recording videos, talks, that part you enjoy, but it's the I'm responsible for planning this event for all these people to, you know. That's the part where you're like, OK, maybe not for me. Rachael: Yeah, kind of. I describe myself as like a content creator because I like to just like dabble and make things, right? Like I like to think about like, what is the best possible way to craft this tweet or this post or like to sit there and be like, okay, how can I structure this blog post to really communicate what I want people to understand? When it comes to my streams, what I actually do is I start with the hero's journey as a concept. So every single stream, we start with an issue in the normal world, right? And then what we do is we get drawn into the chaos realm as we're like debugging and trying to build things and going Back and forth and there's code flying everywhere and the tests are red and then they're green and then they're red and then they're green and then finally at the end we come back to the normal world as we create this PR and, Submit it neither merge it or wait for maintainer feedback. And for me that Story arc is really key and I like I'm a little bit of an artist. I like the artistry of it. I like the artistry of the code, and I like the artistry of creating the content. I think I've had guests on the show before, and sometimes it's hard to explain to them, like, no, no, no, this is a code show. We can write code, and that's great, but that's not what it's about. It's not just about the end product. It's about bringing people along with us on the journey. And sometimes it's been three hours, and I'm not doing a great job of bringing people along on the journey so like you know I'm tooting my own horn a little bit here but like that is important to me. Jeremy: So when you're working through a problem, When you're doing it on stream versus you're doing it by yourself, what are the key differences in how you approach the problem or how you work through it? Rachael: I think it's largely the same. It's like almost exactly the same. What I always do is, when I'm on stream, I pause, I describe the problem, I build a test for it, and then I start working on trying to fix what's wrong. I'm a huge fan of test -driven development. The way I see it, you want that bug to be reproducible, and a test gives you the easiest way to reproduce it. For me, it's about being easy as much as it is about it being the right way or not. But yeah, I would say that I approach it largely in the same way. I was in the content creator open space a little bit earlier, and I had to give them a bit of a confession. There is one small difference when I'm doing something on stream versus when I'm doing something alone. Sometimes, I have a lot of incredible senior staff, smart, incredible people in my chat. I'll describe the problem in vivid detail, and then I'll take my time writing the test, and by the time I'm done writing the test, somebody will have figured out what the problem is, and talk back to me about it. I very rarely do that. It's more often when it's an ops or an infrastructure or something like that. A great example of this is like the other day I was having an issue, I mentioned the Vim extensions. If I do command P on the code section, Vim extensions was capturing that, and so it wasn't opening the file. So one of my chatters was like, oh, you know, you can fix that if you Google it. I was like, oh, I don't know. I mean, I could Google it, but it will take so long and distract from the stream. Literally less than 15 minutes later a chatter had replied with like, here's exactly what to add to your VS Code extension, and I knew that was gonna happen. So that's my little secret confession. That's the only difference when I'm debugging things on stream is sometimes I'll let chat do it for me. Jeremy: Yeah, that's a superpower right there. Rachael: It is, and I think that happens because I am open to feedback and I want people to engage with me and I support that and encourage that in my community. I think a lot of people sometimes get defensive when it comes to code, right? Like when it comes to the languages or the frameworks that we use, right? There's a little bit of insecurity because you dive so deep and you gain so much knowledge that you're kind of scared that there might be something that's just as good because it means you might not have made the right decision. And I think that affects us when it comes to code reviews. I think it affects us when we're like writing in public. And I think, yeah, and I think it affects a lot of people when they're streaming, where they're like, if I'm not the smartest person in the room, and why am I the one with a camera and a microphone? But I try to set that aside and be like, we're all learning here. Jeremy: And when people give that feedback, and it's good feedback, I think it's really helpful when people are really respectful about it and kind about it. Have you had any issues like having to moderate that or make sure it stays positive in the context of the stream? Rachael: I have had moderation issues before, right? Like, I'm a woman on the internet, I'm going to have moderation issues. But for me, when it comes to feedback and suggestions, I try to be generous with my interpretation and my understanding of what they're going with. Like people pop in and they'll say things like, Ruby is dead, Rails is dead. And I have commands for that to like remind them, no, actually Twitch is a Rails app. So like, no, it's definitely not dead. You just used it to send a message. But like, I try to be understanding of where people are coming from and to meet them where they are, even if they're not being the most respectful. And I think what I've actually noticed is that when I do that, their tone tends to change. So I have two honorary trolls in my chat, Kego and John Sugar, and they show up and they troll me pretty frequently. But I think that that openness, that honesty, like that conversation back and forth it tends to defuse any sort of aggressive tension or anything. Jeremy: Yeah, and it's probably partly a function of how you respond, and then maybe the vibe of your stream in general probably brings people that are. Rachael: No, I definitely agree. I think so. Jeremy: Yeah. Rachael: It's the energy, you get a lot of the energy that you put out. Jeremy: And you've been doing this for about four years, and I'm having trouble picturing what it's even like, you know, you've never done a stream and you decide I'm gonna turn on the camera and I'm gonna code live and, you know, like, what was kind of going through your mind? How did you prepare? And like, what did, like, what was that like? Rachael: Thank you so much. That's a great question. So, actually, I started with Regex Crossword because it was structured, right? Like, I didn't necessarily know what I wanted to do and what I wanted to work on, but with Regex Crossword, you have a problem and you're solving it. It felt very structured and like a very controlled environment, and that gave me the confidence to get comfortable with, like, I'm here, I have a moderator, right? Like we're talking back and forth, I'm interacting with chatters, and that allowed me to kind of build up some skills. I'm actually a big fan of Hacktoberfest. I know a lot of people don't like it. I know a lot of people are like, oh, there are all these terrible spam PRs that show up during Hacktoberfest and open source repositories. But I'm a really big fan because I've always used it to push my boundaries, right? Like every single year, I've tried to take a new approach on it. So the first year that I did it, I decided that what I wanted to do to push my boundaries was to actually work on an application. So this one was called Hunter's Keepers. It was an app for managing characters in Monster of the Week and it was a Reels app because that's what I do professionally and that's what I like to work on. So I started just building that for Hacktoberfest and people loved it. It got a ton of engagement, way more than Regex Crossword and a little bit, like those open source streams continue to do better than the programming games, but I love the programming games so much that I don't wanna lose them, but that's where it kind of started, right? Was me sitting there and saying like, oh, I wanna work on these Rails apps. The Hacktoberfest after that one, And I was like, OK, I worked on my own app in the open, and I've been doing that for basically a year. I want to work on somebody else's app. So I pushed myself to contribute to four different open source repositories. One of the ones I pushed myself to work on was 4M. They did not have Twitch clips as embeds. They had YouTube videos and everything else. And I looked into how to do it, and I found out how liquids tags work, and I had a ton of other examples. I feel like extensions like that are really great contributions to open source because it's an easy way with a ton of examples that you can provide value to the project, and it's the sort of thing where, like, if you need it, other people probably need it as well. So I went and I worked on that, and I made some Twitch clips. And that was like one of my first like external open source project contributions. And that kind of snowballed, right? Because I now knew how to make a liquid tag. So when I started working on my Jekyll site, and I found out that they had liquid tags that were wrapped in gems, I used that as an opportunity to learn how to build a gem. And like how to create a gem that's wrapped around a liquid tag. And that exists now and is a thing that I've done. And so it's all of these little changes and moments that have stacked on top of each other, right? Like it's me going in and saying, OK, today I'd like to customize my alerts. Or like, today I'd like to buy a better microphone and set it up and do these changes. It's not something that changed all at once, right? It's just this small putting in the time day by day, improving. I say like the content gears are always grinding. You always need something new to do, right? And that's basically how my stream has gone for the last four years, is I'm just always looking for something new to do. We haven't talked about this yet, but I'm a voice actress in the programming video game, One Dreamer. And I actually collaborated with the creator of another one, Compressor, who like reached out to me about that Steam key. But the reason that I was able to talk to these people and I was able to reach out to them is rooted in Regex Crossword, right? Cause I finished Regex Crossword and Thursday night was like my programming game stream. And I loved them, so I kept doing them. And I kept picking up new games to play, and I kept exploring new things. So at the end of it, I ended up in this place where I had this like backlog in knowledge and history around programming games. So when Compressor was developed, I think he's like the creator, Charlie Bridge is like a VP at Arm or something. And okay, I should back up a little bit. Compressor is this game where you build CPUs with Steam. So it's like Steam Punk, like, electrical engineering components. Ah, it's so much fun. And like, the characters are all cool, because it's like you're talking to Nikola Tesla, and like Charles Babbage, and Ada Lovelace, and all this sort of stuff. It's just super fun. But the reason he reached out to me was because of that reputation, that backlog, that feedback. Like, when you think about how you became a developer, right, it's day by day, right? when you develop your experience. There's a moment where you look back and you're like, I just have all of these tools in my toolkit. I have all of these experiences. I've done all these things, and they just stack to become something meaningful. And that's kind of how it's gone with my stream, is just every single day I was trying to push, do something new. Well, not every day. Sometimes I have a lazy day, but like, but like I am continuously trying to find new ground to tread. Jeremy: Yeah, I mean that's really awesome thinking about how it went from streaming you solving these regex crosswords to all the way to ending up in one of these games that you play. Yeah, that's pretty pretty cool. Rachael: By the way, that is my absolute favorite game. So the whole reason that I'm in the game is because I played the demo on stream. Jeremy: Oh, nice. Rachael: And I loved it. Like I immediately was like, I'm going to go join the creators discord. This is going to be my game of the year. I can't wait to like make a video on this game. What's really cool about this one is that it uses programming as a mechanic and the story is the real driver. It's got this emotional impact and story. The colors are gorgeous and the way you interact with the world, like it is a genuine puzzle game where the puzzles are small, little, simple programming puzzles. And not like I walk up to this and like I solve a puzzle and the door opens. No, it's like you're interacting with different components in the world and wiring them together in order to get the code working. The whole premise is that there's an indie game developer who's gone through this really traumatic experience with his game, and now he's got the broken game, and he's trying to fix it in time for a really important game demo. I think it's like, it's like Vig something. Video game indie gaming. But what happened is I started following the creator, and I was super interested in them. And then he actually reached out to me about like the Steve workshop and then he was looking for people to voice act and I was like me please yes so yeah that's how I got involved with it yeah that's awesome it's like everything came full circle I guess it's like where you started and yeah no absolutely it's amazing. Jeremy: And so what was that experience like the voice acting bit? I'm assuming you didn't have professional experience with that before. Rachael: No, no, no, no. I had to do a lot of research into like how to voice act. My original ones were tossed out. I just, OK, so there's one line in it. This is going to this is so embarrassing. I can't believe I'm saying this on a podcast. There's one line that's like, it's a beautiful day to code. It's like a, because I'm an NPC, right? So like you can keep interacting with me and one of the like cycling ones is like, it's a beautiful day to code. Well, I tried to deliver it wistfully. Like I was staring out a window and I was like, it's a beautiful day to code. And every single person who heard it told me that it sounded like somewhat sensual, sexy. And I was dying because I had just sent this to this like indie game developer that like I appreciated and he replies back and he's like, I'm not sure if there was an audio issue with some of these, but could you like rerecord some of these? So I was very inexperienced. I did a lot of practicing, a lot of vocal exercises, but I think that it turned out well. Jeremy: That's awesome. So you kind of just kept trying and sending samples, or did they have anybody like try and coach you? Rachael: No, I just kept sending samples. I did watch some YouTube videos from like real voice actors. To try and like figure out what the vocal exercises were. One of the things that I did at first was I sent him like one audio, like the best one in my opinion. And he replied back being like, no, just record this like 10, 20 times. Send it to me and I'll chop the one I want. Jeremy: So the, anytime you did that, the one they picked, was it ever the one you thought was the best one? Rachael: Oh gosh, I don't think I actually like, Wow, I don't think I've gone back over the recordings to figure out which one I thought was the best one. Or like checked which one he picked out of the ones that I recorded. Oh, that's interesting. I'm going to have to do that after this. Jeremy: You're going to listen to all the, it's a beautiful day to code. Rachael: The final version is like a nice, neutral like, it's a beautiful day to code. One of the really cool things about that, though, is my character actually triggers the end of game scene, which is really fun. You know how you get a little hint that's like, oh, this is where the end of the game is, my character gets to do that. Jeremy: That's a big responsibility. Rachael: It is. I was so excited when I found out. Jeremy: That's awesome. Cool. Well, I think that's probably a good place to wrap it up on. But is there anything else you want to mention, or any games you want to recommend? Rachael: Oh, I think I mentioned all of them. I think if you look at Code Romantic, AXA Punks, Bitburner, is an idle JavaScript game that can be played in the browser where you write the custom files and build it and you're going off and hacking servers and stuff like that. It's a little light on story. One Dreamer, yeah. I think if you look at those four to five games, you will find one you like. Oh, it's 7 Billion Humans. Jeremy: Oh, right, yeah. Rachael: I haven't written the blog post yet, but that's my five programming video games that you should try if you've never done one before. 7 million humans is on mobile, so if you've got a long flight back from RubyConf, it might be a great choice. Jeremy: Oh, there you go. Rachael: Yeah. Other than that, it can be found at chael.codes, chael.codes/links for the socials, chael.codes/about for more information about me. And yeah, thank you so much for having me. This has been so much fun. Jeremy: Awesome. Well, Rachel, thank you so much for taking the time. Rachael: Thank you.
Charles Babbage was a man ahead of his time. He was an engineer, inventor, mathematician, and grouchy pants. We learn more about this historic figure and his creations.See omnystudio.com/listener for privacy information.
Go To Statement Considered Harmful is a solid classic entry in the X Considered Harmful metafiction genre, authored by renowned computer scientist and idiosyncratic grump, Edsger Wybe Dijkstra. Surprisingly (given the impact it's had) this is a minuscule speck of a paper, lasting only 1-ish pages, and it even digresses several times from the main point. Fear not! Jimmy and I spend the entirety of these two podcast hours thoroughly analyzing the paper, wringing every last drop of insight from it, speaking directly to how programming ought to be reimagined from the molten venture capital core on up. Yes indeed, this is another episode in the fine tradition of Future of Coding where we stay faithfully close to the text, we leave the second-order implications alone, and there's nothing more than that. Nothing portended, nothing changed. Links => patreon.com/futureofcoding Hest, which Jimmy is convinced that I refuse to call by name, or even talk about. He's clearly mistaken — and yet, I feel his philosophical force on my hand even now. Conundrum considered harmful. "All Cretans are liars" doesn't have quite the ring of "dipping their breasts into the ripper", and is considered harmful. Dijkstra's The Humble Programmer considered harmful. Hoare's The Emperor's Old Clothes considered harmful. Letter O Considered Harmful considered harmful. “Considered Harmful” Essays Considered Harmful considered harmful! Scolds! James while John had had had had had had had had had had had a better effect on the teacher considered considered considered considered considered considered considered considered harmful. Proximity to Chomsky considered harmful. Interlisp, an early lisp featuring the ] super paren, considered harmful. The opening segment of the "I Want to Half-Believe" episode of Very Bad Wizards considered harmful. The Witness considered harmful to our show notes. Delimited Continuations considered harmful. Notation as a Tool of Thought by "Kenneth E. Iverson considered harmful." The Zen of Python considered a great honking idea. Chunky Bacon considered harmful. Copilot considered harmful. Charles Babbage's Bridgewater Treatises considered harmful. North & Whitehead's Principia Mathematica considered harmful. The Sailor's Chorus from Wagner's The Flying Dutchman considered harmful. PEP 8 considered harmful. There are dozens of us considered harmful. TC39 actually considered harmful. Bifunctors considered harmful. Chocolate Radiolab considered one of the only good radio shows, because it's pushing hard against the norms of its medium. UBI — consider it! Forking The Queen considered harmful. The Semantics of Graphical Languages, the paper about a visual formalism for visual programs, considered harmful. Music featured in this episode: Lemon Wagner Lu, Devine, William, Alex and Alex, Justin, Marcel, Peter, Matt, Blaine, Kevin, Nicki, Mae, Kate, Steve, Mitja, Philippa, Max, and everyone else who secretly said it like a swearword. Get in touch, ask questions, don't ask questions: Ivan: Mastodon • Email Jimmy: Mastodon • Twitter DM us in the FoC Slack Support the show on Patreon https://futureofcoding.org/episodes/067See omnystudio.com/listener for privacy information.
Saviez-vous qu'une femme se cache derrière le premier programme informatique jamais conçu ? Dans ce nouveau récit d'”Au Cœur de l'histoire”, Virginie Girod se penche sur la vie d'Ada Lovelace, comtesse anglaise pionnière de l'informatique. Génie des mathématiques, Ada Lovelace est issue de la bonne société anglaise : elle est la fille du célèbre poète Lord Byron. Dans les salons d'intellectuels du milieu du XIXème siècle, elle fait la rencontre décisive de Charles Babbage, ingénieur et mathématicien qui travaille sur deux étranges machines : la machine à différence et la machine analytique. Ce sont des ancêtres d'ordinateurs, et le début d'une collaboration fructueuse entre Charles Babbage et Ada Lovelace. À 27 ans, elle rédige un ensemble de notes sur la machine analytique. La septième, la note G, un ensemble d'instructions pour calculer le nombre de Bernoulli, est considérée comme le premier programme informatique de l'histoire. La comtesse vient d'inventer le code ! Longtemps tombés aux oubliettes, la comtesse et ses travaux sont désormais des incontournables de l'histoire de l'informatique. Ada Lovelace a même un langage de programmation à son nom. 'Au cœur de l'histoire' est un podcast Europe 1 Studio. - Présentation : Virginie Girod - Production : Camille Bichler- Réalisation : Christophe Daviaud- Composition de la musique originale : Julien Tharaud - Communication : Kelly Decroix avec Nathan Laporte- Visuel : Sidonie Mangin
We are joined by one of our favorite friends — Meredith Whittaker — for a giant discussion that bridges her two latest articles. First a historical analysis of Charles Babbage and the smoking gun that directly links plantation logics of control with the industrial design of computation. Then a political economy of “open” AI and the material power that dominates the entire stack for these systems. ••• Follow Meredith: https://twitter.com/mer__edith ••• Origin Stories: Plantations, Computers, and Industrial Control | Meredith Whittaker https://logicmag.io/supa-dupa-skies/origin-stories-plantations-computers-and-industrial-control/ ••• Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI | David Gray Widder, Meredith Whittaker, Sarah Myers West https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807 Subscribe to hear more analysis and commentary in our premium episodes every week! https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (www.twitter.com/jathansadowski) and Edward Ongweso Jr. (www.twitter.com/bigblackjacobin). Production / Music by Jereme Brown (www.twitter.com/braunestahl)
Danas odgovaramo na pitanja. Charles Babbage. Kao pas i mačka. Masa i gravitacija. Perzija i Iran u astronomiji. Strojarstvo je za žene. Hladno zavarivanje. Voda Europe zarobljena u gravitaciji Venere. Projekt Universe 25 i ekonomska održivost. Pretjerano roditeljstvo. Klimatske promjene. Koliko su planine visoke? Kako ublažiti svoj miris? Korado Korlević u Explori odgovora na brojna pitanja i zagonetke svijeta oko nas. Zanimljive i kontroverzne teme, znanstvene novosti, povijesne zagonetke i trendovi razvoja tehnologije. Urednik i voditelj Elvis Mileta.
In a digital era where content is king and data is the new oil, businesses grapple with the challenge of intelligently connecting these invaluable assets. In the next episode of Tech Talks Daily Podcast, I engage in a candid conversation with Tim Hood, VP for EMEA & APAC at Hyland, a company at the forefront of crafting technology foundations that empower over half of the Fortune 100 companies. With 15 years in content management and a formidable track record of expanding Hyland's European team from 48 to over 600, Tim brings an unmatched depth of insight into content management and digital transformation. Our discussion starts by tackling the age-old frustrations of legacy systems— their inflexibility, growing obsolescence, and widening performance gaps. Tim provides an eloquent analysis of why businesses often find themselves shackled to these outdated technologies, citing concerns ranging from cost and convenience to custom integrations and technological inertia. The conversation then transitions to the undeniable power of cloud technology in addressing these challenges. Tim elucidates how the cloud can pace a company's digital evolution, mainly through hybrid storage approaches. By framing the cloud as more than just a tool but as a strategic asset, Tim makes a compelling case for its role in shaping the future of content management. One of the unique aspects we explore is the regional nuances in digital transformation strategies. While the technological challenges remain consistent globally, the approach to solving them varies. Tim outlines how market behaviors differ across the UK, Europe, and the US, offering insights into how Hyland tailors its strategies to align with regional idiosyncrasies. Further, we dive into the broader narrative of digital transformation. Tim stresses the importance of a well-defined vision that includes technology, people, and processes. He discusses Hyland's mission of enabling intelligent connections between content, data, and processes using a blend of cutting-edge technologies like AI and machine learning. A holistic outlook has fueled Hyland's remarkable growth under his leadership. The episode wraps up with Tim sharing glimpses into the future— from the expansion of the content services market to Hyland's ongoing focus on enhancing customer experiences through technologies like Insight. Plus, he shares a bit of whimsy, expressing his hypothetical dining companions from history and tech, namely Charles Babbage and Bill Gates. This episode serves as a comprehensive guide for businesses looking to navigate the complex landscape of digital transformation, especially in the realm of content and data management. It's a conversation rich in expert insights and practical strategies, equipping listeners with the knowledge to make informed decisions in a rapidly evolving technological landscape.
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/european-studies
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices
A defining feature of nineteenth-century Britain was its fascination with statistics. The processes that made Victorian society, including the growth of population, the development of industry and commerce, and the increasing competence of the state, generated profuse numerical data. Victorians and Numbers: Statistics and Society in Nineteenth Century Britain (Oxford UP, 2022) is a study of how such data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration and the arguments and conflicts between social classes. Numbers were collected in the 1830s by newly-created statistical societies in response to this 'data revolution'. They became a regular aspect of governmental procedure thereafter, and inspired new ways of interrogating both the natural and social worlds. William Farr used them to study cholera; Florence Nightingale deployed them in campaigns for sanitary improvement; Charles Babbage was inspired to design and build his famous calculating engines to process them. The mid-Victorians employed statistics consistently to make the case for liberal reform. In later decades, however, the emergence of the academic discipline of mathematical statistics - statistics as we use them today - became associated with eugenics and a contrary social philosophy. Where earlier statisticians emphasised the unity of mankind, some later practitioners, following Francis Galton, studied variation and difference within and between groups. In chapters on learned societies, government departments, international statistical collaborations, and different Victorian statisticians, Victorians and Numbers traces the impact of numbers on the era and the intriguing relationship of Victorian statistics with 'Big Data' in our own age. Lawrence Goldman was born in London and educated at Cambridge and Yale. Following a Junior Research Fellowship at Trinity College, Cambridge, he taught British and American History for three decades in Oxford, where he was a fellow of St. Peter's College, and Editor of the Oxford Dictionary of National Biography 2004-2014. Latterly he was Director of the Institute of Historical Research, University of London. His publications include books on Victorian social science and the history of workers' education, and a biography of the historian and political thinker R. H. Tawney. He is now Emeritus Fellow of St. Peter's College, Oxford. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. YouTube channel. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/british-studies
Ahead of His Time : Many regard Charles Babbage as the father of the computer. His ideas were revolutionary, and they were completely original... weren't they? We hope you enjoy our second story by Untold Tales Author Hal Fulton! Fulton is a software developer in real life; he has two degrees in computer science and is the author of "The Ruby Way". His passions are reading, writing, music, art, and theatre. He lives in Austin, Texas, in a condo located directly above the center of the Earth. His hobbies include live music and passing counterfeit bills to tourists. His short stories have been rejected by some of the finest magazines in the country. You can find more of Hal Fulton's work on Amazon at https://amzn.to/3f3S3KP We love our listeners, fans and patrons! If you loved what you heard, please consider leaving us a 5-star review and and subscribe to our audio anthology on Apple Podcasts at https://podcasts.apple.com/us/podcast/untold-tales/id1515168571 and consider visiting our Patreon site at www.patreon.com/melissadeltorovoiceover ! If you'd like to purchase books in the Untold Tales series, which have many more stories for your reading enjoyment, you can find them here... https://www.amazon.com/Untold-Tales-1-Jeffrey-Robinson/dp/1081757892/ Music by Hooksounds --- Support this podcast: https://podcasters.spotify.com/pod/show/untold-tales/support
Get ready to hitch a ride in our time machine because this episode of "What The IF?" takes you all the way back to the 19th century, to have a virtual teatime chat with Lady Ada Lovelace herself. In this special 'computer time travel' edition, host Philip Shane leverages the magical AI abilities of ChatGPT to bring Ada to the mic, all the way from London (and the 1800s!). And boy, is she ready to party like it's 1843, complete with top hats, tea cakes, and trailblazing discussions on early computing. Hold onto your headphones as Philip and 'Ada' discuss her childhood as the daughter of the iconic poet, Lord Byron, and the driven Lady Byron, who defied societal norms and fueled Ada's passion for mathematics and science. Get an earful of Ada's unprecedented journey into what we now call 'computer science' and her game-changing collaboration with Charles Babbage, the man often dubbed as "the father of the computer." If you ever thought that code was a 20th-century thing, this podcast episode is ready to shake up your understanding of history. Witness how 'Ada' wittily juggles with the idea of her time's technology, setting the stage for the industrial revolution, steaming trains, gas lighting, and the first glimmers of binary processing. Buckle up for some time-defying shenanigans as you uncover how Ada anticipated the modern computer's creative potential, long before the first electric bulb even twinkled. She wasn't just about the math – she saw the promise of creating music, art, and facilitating scientific discoveries. That's why many hail her as the world's first computer programmer, and we couldn't be more thrilled to 'have her' on our show. This is an episode jam-packed with history, humor, and some wild "What The IF?" speculation, so don't miss out! If you've ever wanted to meet a real-life time traveler or were just curious about the humble beginnings of your computer, this one's for you. Jump into this historical rollercoaster, learn a thing or two, and most importantly, have fun "What The IF-ing" with us! --- Check out our membership rewards! Visit us at Patreon.com/Whattheif Got an IF of your own? Want to have us consider your idea for a show topic? Send YOUR IF to us! Email us at feedback@whattheif.com and let us know what's in your imagination. No idea is too small, or too big! Don't miss an episode! Subscribe at WhatTheIF.com Keep On IFFin', Philip, Matt & Gaby
In this episode of Kids Learning Lab, we'll see how Charles Babbage invented the first computer. To give us ideas for new episodes, you can send us messages ( by opening up https://podcasters.spotify.com/pod/show/kidslearninglab )This time, we've included a short quiz in the description: 1. Who is considered to be the first computer programmer? 2. What is binary? 3. What was the first personal computer called? Also, you can check out the Q&A on Spotify. --- Send in a voice message: https://podcasters.spotify.com/pod/show/kidslearninglab/message
The first machine for computation was designed in the 1800s! Learn how its creators, Charles Babbage and Ada Lovelace, set about inventing it in this episode of BrainStuff, based on this article: https://science.howstuffworks.com/innovation/inventions/who-invented-the-computer.htmSee omnystudio.com/listener for privacy information.
Containing Matters concerning the Evolution of Inorganics towards a new Revolution. Timestamps: introductions, recent non-podcast reads (0:00) historical background on computing and calculating machines, plus artificial intelligence (16:50) Samuel Butler background/biography (34:45) "Erewhon" discussion and summary (50:16) Bibliography: Boole, George - "Collected Logical Works" (1916) https://archive.org/details/collectedlogical02booluoft/mode/2up Ceruzzi, Paul - "Inventing the Computer" https://ethw.org/Inventing_the_Computer Columbia University Computing History - "The Jacquard Loom" http://www.columbia.edu/cu/computinghistory/jacquard.html Economist, the - "The Power of Seven", Dec 20th, 2001 http://www.users.globalnet.co.uk/~loxias/week.htm Garnett, R.S. - "Samuel Butler and His Family Relations" (1926) Harris, John F. - "Samuel Butler, Author of Erewhon - The Man and His Work" (1916) Hyman, Anthony - "Charles Babbage: pioneer of the computer" (1982) https://archive.org/details/charlesbabbagepi0000hyma_j5s4/page/192/mode/2up International Slide Rule Museum (ISRM) https://www.sliderulemuseum.com/ Lemelson Center for the Study of Invention and Innovation - "Blaise Pascal: Pascaline Calculator" https://lemelson.mit.edu/resources/blaise-pascal Martin, Ernst - "The calculating machines (Die Rechenmaschinen): their history and development" (1925) https://archive.org/details/calculatingmachi00mart/mode/2up Mudford, Peter - introduction and notes to "Erewhon" (1970) Nagai, Toshiya - "Why Did Sumerians Use the Sexagesimal System?" (2013) https://www.nagaitoshiya.com/en/2013/sexagesimal/ Napier, John - "Rabdologiæ, seu numerationis per virgulas libri duo" (1617) https://library.si.edu/digital-library/book/rabdologiaseunu00napi Pugh, Emerson - "Early Punched Card Equipment, 1880-1951" https://ethw.org/Early_Punched_Card_Equipment,_1880_-_1951 Stephenson, Steve - "Ancient Computers" https://ethw.org/Ancient_Computers Williams, Michael - "Differential Analyzers" https://ethw.org/Differential_Analyzers Music: Butler, Samuel - "Ulysses" (1904), as excerpted by John F. Harris in "Samuel Butler, Author of Erewhon - The Man and His Work" (segment 2) Handel, George Frideric - excerpted harpsichord suite from "Erewhon", chapter 5 (1733) (segment 3)
The noisy Victorian world annoyed the mathematician, philosopher and inventor Charles Babbage, who came up with the idea of a programmable computer. He wrote letters complaining about it and a pamphlet which explored ideas about whether the sea could record its own sound, had a memory and could broadcast sound. New Generation Thinker Joan Passey, from the University of Bristol, sets these ideas alongside the work done by engineers cabling the sea-bed to allow communication via telegraph and Rudyard Kipling's images of these "sea monsters." Producer: Torquil MacLeod New Generation Thinkers is a scheme run by the Arts and Humanities Research Council in partnership with BBC Radio 3. Ten early career academics are chosen each year to share their research on radio. You can find a collection of discussions, features and essays on the Free Thinking programme page. Joan Passey can be heard in Free Thinking episodes discussing Cornwall and Coastal Gothic, Oceans and the Sea at the Hay Festival 2022, Vampires and the Penny Dreadful.
The noisy Victorian world annoyed the mathematician, philosopher and inventor Charles Babbage, who came up with the idea of a programmable computer. He wrote letters complaining about it and a pamphlet which explored ideas about whether the sea could record its own sound, had a memory and could broadcast sound. New Generation Thinker Joan Passey, from the University of Bristol, sets these ideas alongside the work done by engineers cabling the sea-bed to allow communication via telegraph and Rudyard Kipling's images of these "sea monsters." Producer: Torquil MacLeod New Generation Thinkers is a scheme run by the Arts and Humanities Research Council in partnership with BBC Radio 3. Ten early career academics are chosen each year to share their research on radio. You can find a collection of discussions, features and essays on the Free Thinking programme page. Joan Passey can be heard in Free Thinking episodes discussing Cornwall and Coastal Gothic, Oceans and the Sea at the Hay Festival 2022, Vampires and the Penny Dreadful.
La historia de la inteligencia artificial es una historia de cómo las máquinas se están volviendo cada vez más inteligentes y cómo eso afecta nuestra vida cotidiana. Comenzó hace mucho tiempo, cuando personas como Ada Lovelace y Alan Turing tuvieron la idea de que las máquinas podrían hacer más cosas que solo matemáticas. Desde entonces, ha habido muchos avances importantes en la tecnología de IA, como las redes neuronales y el aprendizaje profundo. Estos avances nos permiten hacer cosas increíbles, como enseñar a las máquinas a jugar juegos y manejar carros (conducir coches). Pero también hay desafíos, como asegurarnos de que la tecnología de IA sea ética y no discrimine a nadie. Ahora, la inteligencia artificial es una parte importante de nuestra vida cotidiana y seguirá evolucionando en el futuro.Este es un episodio pódcast narrado por escenas, que transcurren así:En la primera escena, vemos a Ada Lovelace, Charles Babbage y Alan Turing en el laboratorio de la Universidad de Mánchester en la década de 1940 y 1950. Ada Lovelace había formulado la idea de que una máquina podría ser programada para realizar cualquier tarea, no solo las matemáticas, y Charles Babbage había diseñado una máquina analítica para hacer precisamente eso. Alan Turing continuó con esta tradición y propuso la idea de la prueba de Turing, que evalúa si una máquina puede imitar la inteligencia humana.En la segunda escena, vemos a Alan Turing en la Universidad de Mánchester en 1950, desarrollando su trabajo en la prueba de Turing y sentando las bases de la IA moderna.La tercera escena tiene lugar en la Conferencia de Dartmouth en 1956, donde John McCarthy y Marvin Minsky lideraron un grupo de investigadores para establecer la IA como un campo de estudio formal. Aquí es donde se acuñó el término "inteligencia artificial".En la cuarta escena, vemos a Frank Rosenblatt en los Laboratorios Bell de Nueva Jersey a finales de 1950, inventando el perceptrón, un tipo de red neural artificial.En la quinta escena, la acción se traslada a la Universidad de California y a la de Toronto, en la década de 1980, donde Geoffrey Hinton y otros investigadores trabajaron en el renacimiento de las redes neuronales artificiales.En la sexta y última escena, vemos a científicos e ingenieros de empresas tecnológicas como Apple, Amazon y Google, así como a investigadores de DeepMind, trabajar en el desarrollo del aprendizaje profundo y en la aplicación de la IA en la vida cotidiana.La historia de la IA es una historia de avances y retos, de descubrimientos sorprendentes y cambios dramáticos, y de un futuro lleno de posibilidades. Desde sus orígenes hasta sus aplicaciones actuales, la IA ha evolucionado significativamente a lo largo de los años. Además, como se mencionó anteriormente, se han formado equipos de ética en IA para abordar los desafíos éticos y sociales, pero también hay preocupaciones sobre la eliminación de estos equipos por parte de grandes empresas tecnológicas. La IA ya es una parte integral de nuestra vida cotidiana, desde los asistentes virtuales hasta los coches autónomos, pero es importante abordar los desafíos éticos y sociales que plantea, como la privacidad de los datos, la discriminación algorítmica y el impacto en el empleo.La historia de la IA es una historia fascinante de avances tecnológicos, personajes clave y desafíos éticos y sociales, que continúa evolucionando y cambiando nuestro mundo.Enlaces sobre la Breve Historia de la Inteligencia Artificial:Ada Lovelace: https://es.wikipedia.org/wiki/Ada_LovelaceCharles Babbage: https://es.wikipedia.org/wiki/Charles_BabbageAlan Turing: https://es.wikipedia.org/wiki/Alan_TuringJohn McCarthy: https://es.wikipedia.org/wiki/John_McCarthy_(cient%C3%ADfico)Frank Rosenblatt: https://empresas.blogthinkbig.com/historia-de-la-ia-frank-rosenblatt-y-e/Perceptrón: https://www.crehana.com/blog/transformacion-digital/que-es-perceptron-algoritmo/#que-es-perceptronGeoffrey Hinton: https://es.wikipedia.org/wiki/Geoffrey_HintonAlexNet: https://en.wikipedia.org/wiki/AlexNetDespidos de equipos de ética en IA:The Verge: https://www.theverge.com/2023/3/13/23638823/microsoft-ethics-society-team-responsible-ai-layoffsPortafolio: https://www.portafolio.co/internacional/grandes-empresas-tecnologicas-han-despedido-a-miles-de-empleados-a-que-se-debe-57740220 Minutos: https://www.20minutos.es/tecnologia/inteligencia-artificial/ola-despidos-grandes-tecnologicas-continua-microsoft-despide-equipo-etica-inteligencia-artificial-5110792/RPP Noticias: https://rpp.pe/tecnologia/mas-tecnologia/empresas-tecnologicas-recortan-equipos-de-etica-en-ia-noticia-1475866?ref=rppDisclaimer: Las noticias sobre despidos de equipos de ética en IA no están directamente relacionada con la breve historia de la IA, pero puede proporcionar información de contexto relevante sobre el estado actual de la industria de la IA y sus implicaciones éticas.NOTICIAS RELATADAS:Suspensión ChatGPT en Italia - La Stampa: https://www.lastampa.it/cronaca/2023/04/01/news/chatgpt_openai_sospende_servizio_italia-12731698/ (sobre la suspensión del servicio ChatGPT de OpenAI en Italia)Pausar los experimentos gigantes AI - Carta abierta en 2023: https://futureoflife.org/open-letter/pause-giant-ai-experiments/?utm_source=pocket_savesCarta abierta en 2015: https://futureoflife.org/open-letter/ai-open-letter/?utm_source=pocket_savesIA en la justicia: https://www.elheraldo.co/colombia/inteligencia-artificial-juzgado-de-cartagena-resuelve-tutela-con-ayuda-de-la-ia-chatgptOpenAI - Bussiness Insider Mx: https://businessinsider.mx/conoce-historia-openai-compania-desarrollo-chatgpt_tecnologia/ (sobre la historia de OpenAI)Enlaces adicionales para profundizar:Libro "Perceptrons" de Marvin Minsky y Seymour Papert, que detalla los límites de los perceptrones y la inteligencia artificial en la década de 1960: https://mitpress.mit.edu/9780262630221/perceptrons/Sitio web oficial de la Conferencia de Dartmouth de 1956, donde se acuñó el término "inteligencia artificial": https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouthArtículo "Deep Learning" de Yann LeCun, Yoshua Bengio y Geoffrey Hinton, que describe el auge de la IA basada en redes neuronales profundas: https://www.nature.com/articles/nature14539Documental "AlphaGo" de Greg Kohs, que sigue al equipo de Google DeepMind mientras desarrollan una inteligencia artificial capaz de jugar al juego de mesa Go a nivel de campeonato mundial: https://www.alphagomovie.com/Sitio web oficial del Proyecto de Inteligencia Artificial de Stanford (Stanford AI Lab), una de las instituciones líderes en investigación de IA: https://ai.stanford.edu/Artículo "Predictive policing alogrothms are racist. They need to be dismantled.” de Will Douglas Heaven: https://www.technologyreview.com/2020/07/17/1005396/predictive-policing-algorithms-racist-dismantled-machine-learning-bias-criminal-justice/Todas las músicas autorizadas con licencia Creative Commons y Audiio: https://ref.audiio.com/3n4qg4x3 (usa el código "SAVE70" para ahorrar el 70%) Entra tú también a nuestro grupo Telegram en https://ElSiglo21esHoy.com
La historia de la inteligencia artificial es una historia de cómo las máquinas se están volviendo cada vez más inteligentes y cómo eso afecta nuestra vida cotidiana. Comenzó hace mucho tiempo, cuando personas como Ada Lovelace y Alan Turing tuvieron la idea de que las máquinas podrían hacer más cosas que solo matemáticas. Desde entonces, ha habido muchos avances importantes en la tecnología de IA, como las redes neuronales y el aprendizaje profundo. Estos avances nos permiten hacer cosas increíbles, como enseñar a las máquinas a jugar juegos y manejar carros (conducir coches). Pero también hay desafíos, como asegurarnos de que la tecnología de IA sea ética y no discrimine a nadie. Ahora, la inteligencia artificial es una parte importante de nuestra vida cotidiana y seguirá evolucionando en el futuro.Este es un episodio pódcast narrado por escenas, que transcurren así:En la primera escena, vemos a Ada Lovelace, Charles Babbage y Alan Turing en el laboratorio de la Universidad de Mánchester en la década de 1940 y 1950. Ada Lovelace había formulado la idea de que una máquina podría ser programada para realizar cualquier tarea, no solo las matemáticas, y Charles Babbage había diseñado una máquina analítica para hacer precisamente eso. Alan Turing continuó con esta tradición y propuso la idea de la prueba de Turing, que evalúa si una máquina puede imitar la inteligencia humana.En la segunda escena, vemos a Alan Turing en la Universidad de Mánchester en 1950, desarrollando su trabajo en la prueba de Turing y sentando las bases de la IA moderna.La tercera escena tiene lugar en la Conferencia de Dartmouth en 1956, donde John McCarthy y Marvin Minsky lideraron un grupo de investigadores para establecer la IA como un campo de estudio formal. Aquí es donde se acuñó el término "inteligencia artificial".En la cuarta escena, vemos a Frank Rosenblatt en los Laboratorios Bell de Nueva Jersey a finales de 1950, inventando el perceptrón, un tipo de red neural artificial.En la quinta escena, la acción se traslada a la Universidad de California y a la de Toronto, en la década de 1980, donde Geoffrey Hinton y otros investigadores trabajaron en el renacimiento de las redes neuronales artificiales.En la sexta y última escena, vemos a científicos e ingenieros de empresas tecnológicas como Apple, Amazon y Google, así como a investigadores de DeepMind, trabajar en el desarrollo del aprendizaje profundo y en la aplicación de la IA en la vida cotidiana.La historia de la IA es una historia de avances y retos, de descubrimientos sorprendentes y cambios dramáticos, y de un futuro lleno de posibilidades. Desde sus orígenes hasta sus aplicaciones actuales, la IA ha evolucionado significativamente a lo largo de los años. Además, como se mencionó anteriormente, se han formado equipos de ética en IA para abordar los desafíos éticos y sociales, pero también hay preocupaciones sobre la eliminación de estos equipos por parte de grandes empresas tecnológicas. La IA ya es una parte integral de nuestra vida cotidiana, desde los asistentes virtuales hasta los coches autónomos, pero es importante abordar los desafíos éticos y sociales que plantea, como la privacidad de los datos, la discriminación algorítmica y el impacto en el empleo.La historia de la IA es una historia fascinante de avances tecnológicos, personajes clave y desafíos éticos y sociales, que continúa evolucionando y cambiando nuestro mundo.Enlaces sobre la Breve Historia de la Inteligencia Artificial:Ada Lovelace: https://es.wikipedia.org/wiki/Ada_LovelaceCharles Babbage: https://es.wikipedia.org/wiki/Charles_BabbageAlan Turing: https://es.wikipedia.org/wiki/Alan_TuringJohn McCarthy: https://es.wikipedia.org/wiki/John_McCarthy_(cient%C3%ADfico)Frank Rosenblatt: https://empresas.blogthinkbig.com/historia-de-la-ia-frank-rosenblatt-y-e/Perceptrón: https://www.crehana.com/blog/transformacion-digital/que-es-perceptron-algoritmo/#que-es-perceptronGeoffrey Hinton: https://es.wikipedia.org/wiki/Geoffrey_HintonAlexNet: https://en.wikipedia.org/wiki/AlexNetDespidos de equipos de ética en IA:The Verge: https://www.theverge.com/2023/3/13/23638823/microsoft-ethics-society-team-responsible-ai-layoffsPortafolio: https://www.portafolio.co/internacional/grandes-empresas-tecnologicas-han-despedido-a-miles-de-empleados-a-que-se-debe-57740220 Minutos: https://www.20minutos.es/tecnologia/inteligencia-artificial/ola-despidos-grandes-tecnologicas-continua-microsoft-despide-equipo-etica-inteligencia-artificial-5110792/RPP Noticias: https://rpp.pe/tecnologia/mas-tecnologia/empresas-tecnologicas-recortan-equipos-de-etica-en-ia-noticia-1475866?ref=rppDisclaimer: Las noticias sobre despidos de equipos de ética en IA no están directamente relacionada con la breve historia de la IA, pero puede proporcionar información de contexto relevante sobre el estado actual de la industria de la IA y sus implicaciones éticas.NOTICIAS RELATADAS:Suspensión ChatGPT en Italia - La Stampa: https://www.lastampa.it/cronaca/2023/04/01/news/chatgpt_openai_sospende_servizio_italia-12731698/ (sobre la suspensión del servicio ChatGPT de OpenAI en Italia)Pausar los experimentos gigantes AI - Carta abierta en 2023: https://futureoflife.org/open-letter/pause-giant-ai-experiments/?utm_source=pocket_savesCarta abierta en 2015: https://futureoflife.org/open-letter/ai-open-letter/?utm_source=pocket_savesIA en la justicia: https://www.elheraldo.co/colombia/inteligencia-artificial-juzgado-de-cartagena-resuelve-tutela-con-ayuda-de-la-ia-chatgptOpenAI - Bussiness Insider Mx: https://businessinsider.mx/conoce-historia-openai-compania-desarrollo-chatgpt_tecnologia/ (sobre la historia de OpenAI)Enlaces adicionales para profundizar:Libro "Perceptrons" de Marvin Minsky y Seymour Papert, que detalla los límites de los perceptrones y la inteligencia artificial en la década de 1960: https://mitpress.mit.edu/9780262630221/perceptrons/Sitio web oficial de la Conferencia de Dartmouth de 1956, donde se acuñó el término "inteligencia artificial": https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouthArtículo "Deep Learning" de Yann LeCun, Yoshua Bengio y Geoffrey Hinton, que describe el auge de la IA basada en redes neuronales profundas: https://www.nature.com/articles/nature14539Documental "AlphaGo" de Greg Kohs, que sigue al equipo de Google DeepMind mientras desarrollan una inteligencia artificial capaz de jugar al juego de mesa Go a nivel de campeonato mundial: https://www.alphagomovie.com/Sitio web oficial del Proyecto de Inteligencia Artificial de Stanford (Stanford AI Lab), una de las instituciones líderes en investigación de IA: https://ai.stanford.edu/Artículo "Predictive policing alogrothms are racist. They need to be dismantled.” de Will Douglas Heaven: https://www.technologyreview.com/2020/07/17/1005396/predictive-policing-algorithms-racist-dismantled-machine-learning-bias-criminal-justice/Todas las músicas autorizadas con licencia Creative Commons y Audiio: https://ref.audiio.com/3n4qg4x3 (usa el código "SAVE70" para ahorrar el 70%) Entra tú también a nuestro grupo Telegram en https://ElSiglo21esHoy.com
La historia de la inteligencia artificial es una historia de cómo las máquinas se están volviendo cada vez más inteligentes y cómo eso afecta nuestra vida cotidiana. Comenzó hace mucho tiempo, cuando personas como Ada Lovelace y Alan Turing tuvieron la idea de que las máquinas podrían hacer más cosas que solo matemáticas. Desde entonces, ha habido muchos avances importantes en la tecnología de IA, como las redes neuronales y el aprendizaje profundo. Estos avances nos permiten hacer cosas increíbles, como enseñar a las máquinas a jugar juegos y manejar carros (conducir coches). Pero también hay desafíos, como asegurarnos de que la tecnología de IA sea ética y no discrimine a nadie. Ahora, la inteligencia artificial es una parte importante de nuestra vida cotidiana y seguirá evolucionando en el futuro.Este es un episodio pódcast narrado por escenas, que transcurren así:En la primera escena, vemos a Ada Lovelace, Charles Babbage y Alan Turing en el laboratorio de la Universidad de Mánchester en la década de 1940 y 1950. Ada Lovelace había formulado la idea de que una máquina podría ser programada para realizar cualquier tarea, no solo las matemáticas, y Charles Babbage había diseñado una máquina analítica para hacer precisamente eso. Alan Turing continuó con esta tradición y propuso la idea de la prueba de Turing, que evalúa si una máquina puede imitar la inteligencia humana.En la segunda escena, vemos a Alan Turing en la Universidad de Mánchester en 1950, desarrollando su trabajo en la prueba de Turing y sentando las bases de la IA moderna.La tercera escena tiene lugar en la Conferencia de Dartmouth en 1956, donde John McCarthy y Marvin Minsky lideraron un grupo de investigadores para establecer la IA como un campo de estudio formal. Aquí es donde se acuñó el término "inteligencia artificial".En la cuarta escena, vemos a Frank Rosenblatt en los Laboratorios Bell de Nueva Jersey a finales de 1950, inventando el perceptrón, un tipo de red neural artificial.En la quinta escena, la acción se traslada a la Universidad de California y a la de Toronto, en la década de 1980, donde Geoffrey Hinton y otros investigadores trabajaron en el renacimiento de las redes neuronales artificiales.En la sexta y última escena, vemos a científicos e ingenieros de empresas tecnológicas como Apple, Amazon y Google, así como a investigadores de DeepMind, trabajar en el desarrollo del aprendizaje profundo y en la aplicación de la IA en la vida cotidiana.La historia de la IA es una historia de avances y retos, de descubrimientos sorprendentes y cambios dramáticos, y de un futuro lleno de posibilidades. Desde sus orígenes hasta sus aplicaciones actuales, la IA ha evolucionado significativamente a lo largo de los años. Además, como se mencionó anteriormente, se han formado equipos de ética en IA para abordar los desafíos éticos y sociales, pero también hay preocupaciones sobre la eliminación de estos equipos por parte de grandes empresas tecnológicas. La IA ya es una parte integral de nuestra vida cotidiana, desde los asistentes virtuales hasta los coches autónomos, pero es importante abordar los desafíos éticos y sociales que plantea, como la privacidad de los datos, la discriminación algorítmica y el impacto en el empleo.La historia de la IA es una historia fascinante de avances tecnológicos, personajes clave y desafíos éticos y sociales, que continúa evolucionando y cambiando nuestro mundo.Enlaces sobre la Breve Historia de la Inteligencia Artificial:Ada Lovelace: https://es.wikipedia.org/wiki/Ada_LovelaceCharles Babbage: https://es.wikipedia.org/wiki/Charles_BabbageAlan Turing: https://es.wikipedia.org/wiki/Alan_TuringJohn McCarthy: https://es.wikipedia.org/wiki/John_McCarthy_(cient%C3%ADfico)Frank Rosenblatt: https://empresas.blogthinkbig.com/historia-de-la-ia-frank-rosenblatt-y-e/Perceptrón: https://www.crehana.com/blog/transformacion-digital/que-es-perceptron-algoritmo/#que-es-perceptronGeoffrey Hinton: https://es.wikipedia.org/wiki/Geoffrey_HintonAlexNet: https://en.wikipedia.org/wiki/AlexNetDespidos de equipos de ética en IA:The Verge: https://www.theverge.com/2023/3/13/23638823/microsoft-ethics-society-team-responsible-ai-layoffsPortafolio: https://www.portafolio.co/internacional/grandes-empresas-tecnologicas-han-despedido-a-miles-de-empleados-a-que-se-debe-57740220 Minutos: https://www.20minutos.es/tecnologia/inteligencia-artificial/ola-despidos-grandes-tecnologicas-continua-microsoft-despide-equipo-etica-inteligencia-artificial-5110792/RPP Noticias: https://rpp.pe/tecnologia/mas-tecnologia/empresas-tecnologicas-recortan-equipos-de-etica-en-ia-noticia-1475866?ref=rppDisclaimer: Las noticias sobre despidos de equipos de ética en IA no están directamente relacionada con la breve historia de la IA, pero puede proporcionar información de contexto relevante sobre el estado actual de la industria de la IA y sus implicaciones éticas.NOTICIAS RELATADAS:Suspensión ChatGPT en Italia - La Stampa: https://www.lastampa.it/cronaca/2023/04/01/news/chatgpt_openai_sospende_servizio_italia-12731698/ (sobre la suspensión del servicio ChatGPT de OpenAI en Italia)Pausar los experimentos gigantes AI - Carta abierta en 2023: https://futureoflife.org/open-letter/pause-giant-ai-experiments/?utm_source=pocket_savesCarta abierta en 2015: https://futureoflife.org/open-letter/ai-open-letter/?utm_source=pocket_savesIA en la justicia: https://www.elheraldo.co/colombia/inteligencia-artificial-juzgado-de-cartagena-resuelve-tutela-con-ayuda-de-la-ia-chatgptOpenAI - Bussiness Insider Mx: https://businessinsider.mx/conoce-historia-openai-compania-desarrollo-chatgpt_tecnologia/ (sobre la historia de OpenAI)Enlaces adicionales para profundizar:Libro "Perceptrons" de Marvin Minsky y Seymour Papert, que detalla los límites de los perceptrones y la inteligencia artificial en la década de 1960: https://mitpress.mit.edu/9780262630221/perceptrons/Sitio web oficial de la Conferencia de Dartmouth de 1956, donde se acuñó el término "inteligencia artificial": https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouthArtículo "Deep Learning" de Yann LeCun, Yoshua Bengio y Geoffrey Hinton, que describe el auge de la IA basada en redes neuronales profundas: https://www.nature.com/articles/nature14539Documental "AlphaGo" de Greg Kohs, que sigue al equipo de Google DeepMind mientras desarrollan una inteligencia artificial capaz de jugar al juego de mesa Go a nivel de campeonato mundial: https://www.alphagomovie.com/Sitio web oficial del Proyecto de Inteligencia Artificial de Stanford (Stanford AI Lab), una de las instituciones líderes en investigación de IA: https://ai.stanford.edu/Artículo "Predictive policing alogrothms are racist. They need to be dismantled.” de Will Douglas Heaven: https://www.technologyreview.com/2020/07/17/1005396/predictive-policing-algorithms-racist-dismantled-machine-learning-bias-criminal-justice/Todas las músicas autorizadas con licencia Creative Commons y Audiio: https://ref.audiio.com/3n4qg4x3 (usa el código "SAVE70" para ahorrar el 70%) Entra tú también a nuestro grupo Telegram en https://ElSiglo21esHoy.com
Send us a Text Message.Computer science is a field completely dominated by men. Charles Babbage, Alan Turing, Tim Berners-Lee, Steve Jobs, the list goes on and on. But on that list, pretty high up on that list is Ada Lovelace. Although the world overlooked her contributions for an entire century, did you know the very first computer programmer was actually a woman? Let's fix that. Sources: Biography.comEncyclopedia Britannica Onlinecomputerhistory.orgsciencehistory.orgStuff You Missed in History Class podcast episode titled “The Ada Lovelace Episode: Who Was the Enchantress of Numbers?”Ridiculous History podcast 2 part episode on Ada LovelaceSupport the show! Buy Me a CoffeeVenmo @Shea-LaFountaine
Jane Elliott for POCs! Pocahontas '24! Riots and looting! Kanye loves Jonah Hill! ESPN's trans swimmer for Women's History! The Hake Report, Monday, March 27, 2023 AD TIME STAMPS * 0:00:00 Intro clip: Jane Elliott warns "fellow whites" to pray* 0:04:42 Hey, guys! BOND tee (Rumble stream glitched!)* 0:08:02 Jane Elliott's POCs "get even" with whites! Commie like MLK!* 0:12:14 Elizabeth Warren running for President (again): "Want a beer?"* 0:21:18 Supers: Ada Lovelace, Charles Babbage's mathy secretary* 0:25:27 GARRY, MA: On pot, doing business, fan of JLP and crew!* 0:27:25 Nick: Pot is psychotomimetic, mimics psychosis!* 0:31:05 Looting semi trucks in South Africa* 0:37:52 Riots in France over Macron types' takeover* 0:44:07 Israel protests and strikes against Based Bibi Netanyahu!* 0:49:35 Kanye loves Jews / Jonah Hill: 21 Jump Street (Channing Tatum)* 0:56:16 Adam Sandler won Mark Twain award; Kanye, Lil Wayne winners* 1:02:26 "Two Steps Forward" - Mary Rice Hopkins * 1:08:20 Supers: Baked Alaska smear, Flat Earth dog whistles* 1:11:00 Nick's easy livin' shirt, Jonah Hill; Kyle "John Wick" Rittenhouse* 1:18:16 ESPN features "Lia" Thomas for Women's History Month* 1:26:21 HAMZA, NY: Capitalist doctors conspire to opioid whites* 1:37:09 JC, AR: says transgenders are beautiful* 1:42:10 JOHN, KY: blacks don't sell opioids. You love transgenders?* 1:46:02 Supers: Kyle poem, Liar Thomas* 1:49:33 FREDERICK: Accountability for all! Who's behind opioids?* 1:55:58 "Little Miracle" - Mary Rice Hopkins BLOG https://www.thehakereport.com/blog/2023/3/27/cool-teacher-ladies-espns-featured-woman-mon-3-27-23 PODCAST: SUBSTACKThe Hake Report LIVE M-F 9-11 AM PT (12-2 ET) Call-in 1-888-775-3773 thehakereport.com VIDEO YouTube | Rumble* | BitChute | Facebook | Twitter | Odysee* | DLive PODCAST Apple | Spotify | Castbox | Podcast Addict | Pocket Casts | Substack (RSS) *SUPER CHATS on asterisked platforms, or Ko-fi | BuyMeACoffee | Streamlabs SUPPORT / EXCLUSIVES Substack | SubscribeStar | Locals || SHOP Teespring SEE ALSO Hake News on The JLP Show | Appearances elsewhere (other shows, etc.) Get full access to HAKE at thehakereport.substack.com/subscribe
Charles Babbage was a 19th century inventor and polymath who is most famous for inventing the programmable digital computer in a purely mechanical as opposed to electrical form. He was joined by Ada Lovelace, daughter of Lord Byron, who was an early visionary with ideas about the application of computers beyond mere calculation.
Born in 1815, Ada Byron was the only legitimate child of the famous poet Lord Byron. Unlike her famous father, Ada did not pursue a literary career. Guided by her mother, she took a diametrically different path studying math and logic. At the age of 17, she had a chance encounter with Charles Babbage, who was designing the world's first mechanical computer. It was the beginning of a groundbreaking collaboration that would only be understood over a century later. Learn more about Ada Lovelace, the world's first computer programmer, on this episode of Everything Everywhere Daily. Subscribe to the podcast! https://link.chtbl.com/EverythingEverywhere?sid=ShowNotes -------------------------------- Executive Producer: Darcy Adams Associate Producers: Peter Bennett & Thor Thomsen Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Update your podcast app at newpodcastapps.com Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Page: https://www.facebook.com/EverythingEverywhere Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/everything-everywhere-daily-podcast/ Everything Everywhere is an Airwave Media podcast. Please contact sales@advertisecast.com to advertise on Everything Everywhere. Learn more about your ad choices. Visit megaphone.fm/adchoices
Computers have obviously transformed our world. You wouldn't be listing to my voice right now if it wasn't for computers. However, the first computers, a device that could perform arbitrary calculations, actually came well before electronics. It was made of gears, cogs, and levers, and it was able to perform mathematical calculations as well as run simple programs. Learn more about Charles Babbage and his analytical engine, the world's first mechanical computer, on this episode of Everything Everywhere Daily. Subscribe to the podcast! https://link.chtbl.com/EverythingEverywhere?sid=ShowNotes -------------------------------- Executive Producer: Darcy Adams Associate Producers: Peter Bennett & Thor Thomsen Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Update your podcast app at newpodcastapps.com Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook: https://www.facebook.com/EverythingEverywhere Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/everything-everywhere-daily-podcast/ Everything Everywhere is an Airwave Media podcast." or "Everything Everywhere is part of the Airwave Media podcast network Please contact sales@advertisecast.com to advertise on Everything Everywhere. Learn more about your ad choices. Visit megaphone.fm/adchoices
As machine learning and AI mature and adapt to the humans that created them, it's important we think carefully about not only what is creativity, but what is uniquely human about creativity.Marcus du Sautoy is the Charles Simonyi Professor for the Public Understanding of Science at the Oxford University, a chair he holds jointly at the Department of Continuing Education and the Mathematical Institute, as well as a Professor of Mathematics and a Fellow of New College.His many books dive deep into the world of machines and creativity, and include “Thinking Better: the Art of the Shortcut,” and “The Creativity Code.”He sits down for this stimulating conversation with Greg covering generative adversarial networks, Ada Lovelace and machine generated music, crediting the code or the coder, and what the future holds for art & AI.Episode Quotes:Two kinds of algorithm we need at work:You need a sort of two algorithms at work. One is the creator coming up with babbling new ideas. And then the second is like, oh, the judgments. No, that's no good. That doesn't work because of this. And you know in my own research, I often pair up with another mathematician and we play these two roles, the creator and the discriminator.So, I think some of the most interesting algorithms that we're seeing that are beginning to look like they're making something genuinely new are capturing that element that we take advantage of as humans.Machines still need humansMachines might be able to do things at speed or at depth that a human could never achieve. But ultimately, we should credit the creativity with the human that told the machine what to do.The Emotional Resonance to MathematicsAda Lovelace went to see, you know, Charles Babbage making a machine do math, but, no, it wasn't doing math. It was doing arithmetic and that's the kind of bread and butter. But mathematics is something much more creative. And, we use this word creativity as a kind of protective shield about, against why a computer can't do what we're doing, because we're making lots of leaps into the unknown, lots of choices, things we choose proofs, which kind of move us emotionally because they got “Aha” moment in them.Show Links:Resources:The ContinuatorThe Turing TestForget Turing, the Lovelace Test Has a Better Shot at Spotting AIAda LovelaceAlphaGoGPT3 algorithmAnish KapoorLibrary of BabelDeep Dream GeneratorGuest Profile:Faculty Profile at University of OxfordProfessional Profile at the Royal SocietyMarcus du Sautoy WebsiteMarcus du Sautoy on TwitterMarcus du Sautoy on FacebookMarcus du Sautoy on YoutubeMarcus Sautoy on TEDTalkHis Work:The Creativity Code: Art and Innovation in the Age of AIFinding Moonshine BlogThinking Better: The Art of the Shortcut in Math and LifeI is a Strange LoopHow to Count to Infinity (Little Ways to Live a Big Life Book 1)The Great Unknown: Seven Journeys to the Frontiers of ScienceWhat We Cannot Know: From consciousness to the cosmos, the cutting edge of science explainedThe Music of the Primes: Searching to Solve the Greatest Mystery in Mathematics The Number Mysteries: A Mathematical Odyssey through Everyday Life (MacSci)Symmetry: A Mathematical Journey Finding Moonshine: A Mathematician's Journey Through Symmetry
Melissa Boloña, actress, model, nutritionist, founder, and CEO of Beauty & the Broth, recognized the power of bone broth from the inside out; however, she felt that bone broth offerings lacked accessibility and innovation. To fill this gap, Melissa took matters into her own hands, dedicating 2 years to R&D, testing countless ratios and recipes in order to make sure that each batch of Beauty & the Broth tasted homemade and nutritious. It was during this time that she discovered that her recipes in a concentrated form were the best and most optimal way to conveniently get bone broth into her customers' hands. Episode Summary - Some of the great ideas never get implemented because of the fear of failure.We all are very well aware that if you want to achieve something, you need to be able to take risks, but most of us get so much caught up with the fear of failure that we are too afraid to start something new. Imagine what would happen if Charles Babbage, the father of computers, had gotten caught up with the fear of failure then how our life would have been. We can hardly think of running our businesses without computers & laptops; they are the oxygen of our business. If you have an idea, believe in it and work on it. You cannot expect to achieve success immediately, but with consistency & persistence, you will achieve what you want.In this episode, Melissa Boloña talks about how a disease has helped her achieve success. “The best ideas come from your actual needs.” Snapshot of the Key Points from the Episode:[02:32] Melissa shares the back story of her journey.[05:20] Melissa talks about some of the struggles she has faced because of her digestive problems and How bone broth has helped her become healthy.[10:21] Melissa talks about turning an idea into a product and why she thinks her recipes are the best.[17:23] Melissa talks about the skillsets that have helped her succeed.[19:56] Melissa talks about her significant accomplishments.[21:05] Melissa talks about how she started her business.[22:31] What does working from your happy place means to Melissa.[23:31] Melissa's advice for others who have ideas and want to start their businesses.[25:36] Why starting out your business with your own investment is the best.[30:54] How obstacles are essential for growing your business. Instagram - https://www.instagram.com/melissabolona/Instagram Company Profile - https://www.instagram.com/thebeautyandthebroth/Facebook - https://www.facebook.com/beautyandthebrothAbout the Host -Belinda Ellsworth is a Speaker, Trainer, Best-Selling Author, and PodcasterShe has been a professional speaker, mover, and shaker for more than 25 years. Having built three successful companies, she has helped thousands of entrepreneurs make better decisions, create successful systems, and build business strategies using her "Four Pillars of Success" system.Belinda has always had a passion and zest for life with the skill for turning dreams into reality. Over the last 20 years, she has been expertly building her speaking and consulting business, Step Into Success. How to Connect with Belinda:Facebook - https://www.facebook.com/stepintosuccessLinkedIn - https://www.linkedin.com/in/belindaellsworthInstagram - https://www.instagram.com/stepintosuccess/Website - www.workfromyourhappyplace.com
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