Podcasts about Posit

Found a  great post from Inspiration & More (@LifeWithJohn) where we were reminded that we always need to  “Always remember that there is a strength within you that is greater than any storm.” Since we all face storms, this is something we all need to remember - we have been through tough times & we will continue to go through them.  Since again, our Past is our best mentor, we can lean on those experiences that we have been through. As I thought about this more and more, I felt better about the storms that I have been through. Also remember that the storms never last!!  Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.

In this episode of R Weekly Highlights we hear from industry experts on how they choose a programming language for their projects, a big boost to the use of copilot for building your next Shiny app, and the learning journey of a new R user.Episode LinksThis week's curator: Sam Parmar - @parmsam@fosstodon.org (Mastodon) & @parmsam_ (X/Twitter)Which programming language should I use? A guide for early-career researchersReliable Shiny Code with Copilot and Posit's VS Code ExtensionMy Journey Learning R as a Humanities UndergradEntire issue available at rweekly.org/2025-W18Supplement ResourcesR for Data Science 2nd Edition https://r4ds.hadley.nz/Data Science Learning Community https://dslc.io/IssueTrackeR https://tanguybarthelemy.github.io/IssueTrackeR 3MW (Scalable reporting with Quarto) https://3mw.albert-rapp.de/p/scalable-reporting-with-quartoSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social media Eric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixSecrets Abound - Final Fantasy - Midgarian Sky - https://ocremix.org/remix/OCR02452Voodoo, Roots 'n Grog - The Secret of Monkey Island - Alex Jones, Diggi Dis - https://ocremix.org/remix/OCR02180

Bit Season, Episode 168: I Posit That full 3502 Thu, 10 Apr 2025 16:09:03 +0000 hBJULAotpXriXF4ypaAY5JoKxww3OA4D comedy,sports The Sports Junkies comedy,sports Bit Season, Episode 168: I Posit That For more than 25 years, The Junks have owned Washington D.C. sports radio, covering Commanders, Nationals, Capitals, Wizards, Hokies, Terrapins, and Hoyas news. Every weekday, childhood friends John-Paul “J.P.” Flaim, Eric “E.B.” Bickel, John “Cakes” Auville, and Jason “Bish” Bishop talk DMV sports, pop culture, life, and more. Plus, they regularly chat with guests like sportswriter John Feinstein, Nats GM Mike Rizzo, and Caps head coach Spencer Carberry.Catch the Sports Junkies live Monday through Friday (5 a.m. - 10 a.m ET) on 106.7 The Fan, home of the Nationals, Capitals, and Hokies; Team 980, home of the Wizards, Terrapins, and Hoyas; or on the Audacy app. For more, follow the show on X @JunksRadio. 2024 © 2021 Audacy, Inc. Comedy Sports False https://player.amperwavepodcasting.com?feed-link=https%

Bit Season, Episode 168: I Posit That full 3502 Thu, 10 Apr 2025 16:10:49 +0000 ilQGXbZ4QiD9X4Kutcm7JLSJU254ds2c sports Bit Season sports Bit Season, Episode 168: I Posit That Go behind the glass with Sports Junkies producers Drab and Valdez in a weekly podcast all about the show. Behind-the-scenes stories that take you inside the fights, botches, and daily drama surrounding the Junkies show. 2024 © 2022 Audacy, Inc. Sports False https://player.amperwavepodcasting.com?feed-link=https%

In this Episode , we're going over the news that was impactful during the previous month.

This came about from a podcast I was listening to from Jon Gordon (@JonGordon11) where he interviewed Major League baseball player and manager, Clint Hurdle (@ClintHurdle13) and they had some great discussions that really connect to life and not just baseball.  Listen to the podcast HERE.  Powerful reminders about how our past can really help with our future, if we pay attention to it. This connects to something I really believe in and share all the time throughout my teaching, coaching and podcasting careers… “our past is our best mentor.”  I'm fired up about this episode and I hope you check out these two great difference makers along with the podcast link too. Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.

In this episode, I'm joined by JJ Allaire, founder and executive chairman at Posit, and Carlos Scheidegger, a software engineer at Posit, to explore Quarto, an open-source tool revolutionizing technical publishing. We discuss how Quarto empowers users to seamlessly transform Jupyter notebooks into polished reports, dashboards, e-books, websites, and more. JJ shares his journey from creating RStudio to developing Quarto as a versatile, multi-language tool, while Carlos delves into its roots in reproducibility and the challenges of academic publishing. Don't miss this deep dive into a tool that's shaping the future of data-driven storytelling! Episode sponsors Talk Python Courses DigitalOcean Links from the show JJ Allaire JJ on LinkedIn: linkedin.com JJ on GitHub: github.com Carlos Scheidegger Personal site: cscheid.net Mastodon: @scheidegger Fast AI: fast.ai nbdev: nbdev.fast.ai nbsanity - Share Notebooks as Polished Web Pages in Seconds: answer.ai Pandoc: pandoc.org Observable: github.com Quarto Pub: quartopub.com Deno: deno.com Real World Data Science site: realworlddatascience.net Typst: typst.app Github Actions for Quarto: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Join me as I chat with Rich Iannone and Michael Chow from Posit where we explore the transformative power of data tables with the Great Tables library. We'll cover practical applications of Great Tables, showcasing how thoughtful design and advanced formatting can elevate your data presentations. And you'll learn about innovative features like nano plots and interactive elements and the importance of structure, format, and style in crafting tables that both inform and inspire. Whether you're a seasoned data scientist or just starting out, this episode is packed with valuable tips and inspiring examples to enhance your data storytelling. Episode sponsors Talk Python Courses DigitalOcean Links from the show Michael Chow: github.com/machow Richard Iannone: github.com/rich-iannone Episode Deep Dives Writeup: talkpython.fm/blog Great Tables: github.com Making Beautiful, Publication Quality Tables PyCon talk: youtube.com Andrew Weatherman's Visualization Gallery: aweatherman.com Bureau of the Census Manual of Tabular Presentation: census.gov Table Contest: posit.co Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Guest Alison Hill Panelist Richard Littauer Show Notes We're kicking off the new year of Sustain with host Richard Littauer discussing sustaining open source software with guest, Alison Hill, VP of Product at Anaconda, and a cognitive scientist with a PhD in psychology. Alison shares her journey from academia to industry, emphasizing the importance of statistics and data science in her career. She explains her role at Anaconda, focusing on developing secure and compatible distribution of Python packages and managing the community repository, Anaconda.org. The conversation covers the significance of product management in open source projects, particularly those with corporate backing, and how these roles can help in balancing user needs and business goals. In addition, Alison shares her thoughts on the challenges and strategies for maintaining open source projects without corporate support and touches on the ‘palmer penguins' project. Click to download now! [00:01:13] Alison discusses her transition from academic research in cognitive science to industry and data science, emphasizing her passion for statistics and education. [00:02:41] Alison explains her work at Anaconda, focusing on product management and the Anaconda distribution, aiming to ease the use of Python and R packages in the industry and academia. She also elaborates on other projects she oversees, including Anaconda.org and its role in supporting open source projects and enterprise needs. [00:05:17] We hear how Anaconda sustains itself financially through enterprise offerings and the balance of supporting open source while maintaining a business model. [00:07:14] Alison shares her previous experience as the first PM of data science communication at Posit (formerly RStudio) and her role in enhancing data science education and product development. [00:12:49] Richard and Alison explore the challenges of sustaining open source projects without corporate backing and strategies for maintaining personal and project health in the open source community. Alison discusses common mistakes companies make by confusing project management with product management in open source projects. [00:17:18] Richard asks about the skills needed for developers to adopt a product-oriented approach. Alison suggests that successful product-oriented developers often have high empathy for end-users and experience with the pain points at scale, which helps them anticipate and innovate solutions effectively. [00:20:49] Richard expresses concerns about the sustainability of smaller, community-led open source projects that lack corporate backing and the structured support that comes with it. Alison acknowledges her limited experience with non-corporate open source projects but highlights the difficulty in maintaining such projects without institutional support, and she shares her personal challenges with keeping up with open source project demands. [00:27:41] Alison stresses the importance of clear goals and understanding the implications of joining larger ecosystems, reflects on the need for clarity about the desired outcomes when joining larger ecosystems, and shares examples of successful and unsuccessful engagements in such settings. [00:29:52] She discusses alternative sustainability models, including paid support and subscriptions. [00:33:00] Alison brings up the example of Apache Arrow and the challenges it faced with corporate sponsorship. [00:34:23] We wrap up with Richard acknowledging that not all open source projects require significant funding or formal business models, and Alison explains the ‘palmerpenguins' project she did at the beginning of COVID. [00:37:07] Find out where you can follow Alison on the web. Quotes [00:22:18] “What is the minimum level of support you need to not feel like you're drowning?” Spotlight [00:38:14] Richard's spotlight is Bernard Cornwell. [00:38:39] Alison's spotlight is the book, Impossible Creatures. Links SustainOSS (https://sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) richard@sustainoss.org (mailto:richard@sustainoss.org) SustainOSS Discourse (https://discourse.sustainoss.org/) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Open Collective-SustainOSS (Contribute) (https://opencollective.com/sustainoss) Richard Littauer Socials (https://www.burntfen.com/2023-05-30/socials) Alison Hill, PhD Website (https://www.apreshill.com/) Alison Presmanes Hill, PhD LinkedIn (https://www.linkedin.com/in/apreshill/) Alison Presmanes Hill GitHub (https://github.com/apreshill) Anaconda (https://www.anaconda.com/) Anaconda.org (https://anaconda.org/) The Third Bit-Dr. Greg Wilson (https://third-bit.com/about/) Sustain Podcast-Episode 64: Travis Oliphant and Russel Pekrul on NumPy, Anaconda, and giving back with FairOSS (https://podcast.sustainoss.org/guests/oliphant) Intercom on Product Management (https://www.intercom.com/resources/books/intercom-product-management) Sustain Podcast-Episode 135: Tracy Hinds on Node.js's CommComm and PMs in Open Source (https://podcast.sustainoss.org/135) Hadley Wickham (https://en.wikipedia.org/wiki/Hadley_Wickham) palmerpenguins-GitHub (https://allisonhorst.github.io/palmerpenguins/articles/intro.html) Bernard Cornwell (https://en.wikipedia.org/wiki/Bernard_Cornwell) Impossible Creatures by Katherine Rundell (https://www.penguinrandomhouse.com/books/743371/impossible-creatures-by-katherine-rundell-illustrated-by-ashley-mackenzie/) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guest: Alison Hill.

Another great reminder, not only for the end of the year, but for us to make it a habit for every day.  This one is brought to us by Power of Positivity (@LIVEpositivity) “One day you'll look back and realize you worried too much about things that didn't matter.” This is something that of course as I get older, I see it with more clarity. The key is, age has nothing to do with it. There is no age requirement to see this as to pick up this lesson, and I encourage everyone to pick this up as soon as possible in your life. Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.   

I found a powerful poem from a post on Facebook that I wanted to share.  It comes from a page called: “I'm going that way.” and this poem has some great reminders for all of us as to even if we are not okay, there are plenty of things that we are worthy of being. The poem brings up a few. I throw some of my own reflections into this and I know you can connect with these ways along with your own too.  I mentioned a recent John O'Leary podcast where his guest shares a powerful story that fits into this too.  Find the podcast:  “A Father Learning to “Walk On” After the Tragic Loss of his Son: Stephen Panus” (ep. 736) by clicking on the link. Amazing and emotional story. On a less sad note, I do want to wish everyone a very happy New Year!! I'm looking forward to Season 9 for me and my podcast in 2025 along with many new & exciting things in my life.  I hope you can say the same for your life too in the new year. Thank you all for listening to my show too. It means a lot to me for sure.  Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

The PolicyViz Podcast wraps up 2024 with David Keyes, author of the new book, R for the Rest of Us: A Statistics-Free Introduction! We not only talk about how you can get started in R using David's book, but also building data and data visualization workflows with R, RMarkdown, and Quarto. We also talk about how to create consistent visualizations through themes and functions in R to help new R users leverage its features without being intimidated by complex statistics.I hope you enjoy this episode and have a great holiday season! See you in 2025!!Keywords: data, data visualization, PolicyVizPodcast, JonSchwabish, DavidKeyes, RForTheRestOfUs, DataCommunication, DataVisualization, Quarto, RMarkdown, DataPresentation, BrandedVisualizations, Excel, SelfTaughtR, QuantitativeEvaluation, ChatGPT, QualitativeDataAnalysis, TablesInR, EfficiencyInR, SPSS, SAS, Stata, ggplot, ReproducibleResearch, BeginnerFriendlyR, QuartoVsRMarkdown, SurveyDataAutomation, Netlify, DataManagementWorkflow, LearningR, mathematics, Al, machine learningSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out David's website and podcast, and grab his book R for the Rest of Us on AmazonFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

History teaches some wonderful lessons, if you are willing to pay attention. This one comes from Wisdom (@Wisdom_HQ) and they are connecting with a big-time historical figure, Winston Churchill who said “Success is walking from failure to failure with no loss of enthusiasm.”  Since we all stumble, fall, fail, get distracted, etc., having an attitude of enthusiasm to get through life with, it will pay off for sure.  I love this reminder and I need to keep looking to be fired up about figuring things out, learning new things, overcoming failures, realizing that our attitude does make a difference. I need to remember, I can have enthusiasm about all things in my life, I might as well choose to get through the tough times as best I can with a decently positive attitude.  Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

Frank La Vigne sits down with Alex Gold, Head of Solutions Engineering at POSIT and author of "DevOps for Data Science." Together, they explore the fascinating intersections of DevOps, MLOps, and generative AI, shedding light on the importance of social norms, innovation, and practical impact in open-source development.Show NotesLinksDevOps for Data Science (Online Version) https://do4ds.com DevOps for Data Science (Amazon) Moments02:14 Marylander love their state flag06:09 PBC prioritizes diverse responsibilities beyond shareholder value.08:17 Chose Python for its versatility across fields.12:15 Choose the right language for each pipeline stage.16:14 Deploying software for enterprise use requires oversight.19:26 Most data scientists rarely focus on machine learning.23:18 Machine learning misunderstood; majority use simple models.26:46 Generative AI in big companies, production challenges.28:30 DevOps for data science needs unique practices.31:28 Focus on quick wins for business value.34:05 Focus on relationships; people problems require empathy.37:17 Technical people focus on solving technical problems.42:53 Companies exploring gen AI strategies, co-pilot model prioritized.45:01 Exploring gen AI for effective customer data use.49:32 Progress continues despite leveling off in horsepower.52:40 AI needs deeper integration for life-changing impact.55:39 Upload content; create NPR-style podcast summary.58:38 Thanks for tuning in! Stay data driven.

Eric's flying solo this week, but the show goes on! The eagerly-anticipated recordings of the 2024 Posit conference are now available and Eric shares a few of his favorite gems, plus the Quarto publishing system takes center stage with how GitHub actions brings automation to report generation, and a terrific batch of answers to the recent R/Pharma workshop on building parameterized Quarto reports in R.Episode LinksThis week's curator: Batool Almarzouq - @batool664 (X/Twitter)Talk recordings and workshop materials from posit::conf(2024)3MW (Automate Anything With R & GitHub Actions)Parameterized plots and reports with R and QuartoEntire issue available at rweekly.org/2024-W45Supplement ResourcesEric's recap of the Posit conference experience in episode 174 https://serve.podhome.fm/episodepage/r-weekly-highlights/174Eric's talk on web-assembly for shiny-based clinical submissions https://www.youtube.com/watch?v=iC78WbnwnIsIntroducing Positron https://youtu.be/8uRcB34HhswWe CAN have nice Shiny apps: What's new in Shiny's UI & UX (Greg Swinehart) https://youtu.be/FPc5PJRWHskCloseread: Bringing Scrollytelling to Quarto (Andrew Bray) https://youtu.be/KqLxy66B3lQCloseread Posit Contest https://posit.co/blog/closeread-prize-announcement/Collection of Quarto GitHub Actions https://github.com/quarto-dev/quarto-actionsData Wrangling for Python or R Like a Boss With DuckDB https://www.youtube.com/watch?v=GELhdezYmP0Eric's advanced use of GitHub actions for the R Pilot Submissions web-assembly app infrastructure: https://github.com/RConsortium/submissions-pilot4-webRNicola Rennie's R/Pharma workshop materials for parameterized reports with R and Quarto https://nrennie.rbind.io/r-pharma-2024-parameterized-reports/The Ultimate Guide to Creating Lists in R: From Basics to Advanced Examples https://www.spsanderson.com/steveondata/posts/2024-10-29/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon) and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixDivinity - The Legend of Zelda: A Link to the Past - Nostalvania - https://ocremix.org/remix/OCR03442Smoke & Marbles - Castlevania: Symphony of the Night - Emunator, ZackParrish, Lucas Guimaraes - https://ocremix.org/remix/OCR04714

Episode 214: How To Stop Obsessing Over Your Manifestations & Desires | In this episode of The Yoga Inspired Life Podcast, Shayla addresses a common struggle in the manifestation journey—how to stop obsessing over your desires and trust the process instead. Obsessing over your manifestations can create resistance, slowing down the arrival of what you desire. Shayla shares insights on letting go, aligning with the energy of abundance, and allowing your desires to grow naturally.Tune in to hear practical steps for shifting your mindset, using gratitude to raise your vibration, and focusing on other areas of your life while waiting for your desires to manifest. Shayla also shares personal stories and powerful mantras to help you cultivate trust and release control, ultimately supporting you in manifesting your dreams with ease.Connect with Shayla✨ Activate Align Expand Guided Journal & PlannerActivate Align Expand ProgramActivate Align Expand Affirmation DeckInstagram: @shaylaquinn YouTube: www.youtube.com/shaylaquinn TikTok: @shayla.quinn Website: www.shaylaquinn.com Amazon Storefront:  https://www.amazon.com/shop/shaylaquinn Learn more about TYIL Program

Do you have text that you want to process automatically? Maybe you want to pull out key products or topics of conversation? Maybe you want to get the sentiment? The possibilities are many with this week's topic: NLP with spaCy and Python. Our guest, Vincent D. Warmerdam, has worked on spaCy and other tools at Explosion AI and he's here to give us his tips and tricks for working with text from Python. Episode sponsors Posit Talk Python Courses Links from the show Course: Getting Started with NLP and spaCy: talkpython.fm Vincent on X: @fishnets88 Vincent on Mastodon: @koaning Programmable Keyboards on CalmCode: youtube.com Sample Space Podcast: youtube.com spaCy: spacy.io Course: Build An Audio AI App: talkpython.fm Lemma example: github.com Code for spaCy course: github.com Python Bytes transcripts: github.com scikit-lego: github.com Projects that import "this": calmcode.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

A couple of weeks ago, Charlie Marsh and the folks at Astral made another big splash with a major release of uv called "uv: Unified Python packaging" which has many far reaching features. We had to have Charlie on the show to give us the inside look into this development. Let's get to it. Episode sponsors Posit Talk Python Courses Links from the show Charlie Marsh on Twitter: @charliermarsh Charlie Marsh on Mastodon: @charliermarsh uv: Unified Python packaging: astral.sh Python executable management: astral.sh Projects: astral.sh Tools: astral.sh Scripts: astral.sh Rye and uv: August is Harvest Season for Python Packaging: lucumr.pocoo.org Python Build Standalone releases: github.com Rules: astral.sh Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Every year the core developers meet to discuss and propose the major changes and trends in Python itself. This invite-only conference of about 50 people happens inside PyCon in the US. Because it's private, we rarely get detailed looks inside this event. On this episode, we have Seth Michael Larson here to give us his account of the sessions and proposals. It's a unique look into the zeitgeist of CPython. Episode sponsors Posit Talk Python Courses Links from the show Seth on Mastodon: @sethmlarson@fosstodon.org Seth on Twitter: @sethmlarson Seth on Github: github.com The Python Language Summit 2024: blogspot.com PEP 2026: Calendar versioning for Python: github.com PSF authorized as a CVE Numbering Authority: python.org Recommends Memory-Safe Programming Languages: blogspot.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Saw a great post from Chris C., a longtime friend and high school classmate, who shared this thought from Pope Francis:  “Rivers do not drink their own water; trees do not eat their own fruit; the sun does not shine on itself and flowers do not spread their fragrance for themselves. Living for others is a rule of nature. We are all born to help each other. No matter how difficult it is… Life is good when you are happy; but much better when others are happy because of you.”  Again, another thought that can really help ourselves out and I hope that we can learn from this in order to get better. It helps everyone if we look to help each other a bit more. Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

Python performance has come a long way in recent times. And it's often the data scientists, with their computational algorithms and large quantities of data, who care the most about this form of performance. It's great to have Stan Seibert back on the show to talk about Python's performance for data scientists. We cover a wide range of tools and techniques that will be valuable for many Python developers and data scientists. Episode sponsors Posit Talk Python Courses Links from the show Stan on Twitter: @seibert Anaconda: anaconda.com High Performance Python with Numba training: learning.anaconda.cloud PEP 0703: peps.python.org Python 3.13 gets a JIT: tonybaloney.github.io Numba: numba.pydata.org LanceDB: lancedb.com Profiling tips: docs.python.org Memray: github.com Fil: a Python memory profiler for data scientists and scientists: pythonspeed.com Rust: rust-lang.org Granian Server: github.com PIXIE at SciPy 2024: github.com Free threading Progress: py-free-threading.github.io Free Threading Compatibility: py-free-threading.github.io caniuse.com: caniuse.com SPy, presented at PyCon 2024: us.pycon.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Do you feel like ADHD is holding you back? Maybe you don't personally have ADHD but you work with folks who do and you'd like to support them better. Either way, how ADHD interplays with programming and programmers is pretty fascinating. On this episode we have Chris Ferdinandi who himself has ADHD and has written a lot about it to share his journey and his advice for thriving with ADHD as a programmer or data scientist. Episode sponsors Posit Talk Python Courses Links from the show Chris on Mastodon: @cferdinandi ADHD FTW Talk Python Page: adhdftw.com Building a Second Brain: buildingasecondbrain.com Building a Second Brain Book: buildingasecondbrain.com White Collar Jobs are Just Meetings: theatlantic.com Article with Fighting Duck-Sized Horses Agile: mensurdurakovic.com Nothing Phone: nothing.tech Apple Watch: apple.com Todoist: todoist.com Anytype (open source Notion): anytype.io Obsidian: obsidian.md Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Do you need help making data tables in Python look interesting and attractive? How can you create beautiful display-ready tables as easily as charts and graphs in Python? This week on the show, we speak with Richard Iannone and Michael Chow from Posit about the Great Tables Python library.

Python is special. It's used by the big tech companies but also by those you would rarely classify as developers. On this episode, we get a look inside how Python is being used at a Children's Hospital to speed and improve patient care. We have Dr. Somak Roy here to share how he's using Python in his day to day job to help kids get well a little bit faster. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Posit Talk Python Courses Links from the show Somak Roy: linkedin.com Cincinnati Children's Hospital: cincinnatichildrens.org CNVkit: Genome-wide copy number: readthedocs.io cnaplotr: github.com hgvs: readthedocs.io openpyxl: readthedocs.io Hera is an Argo Python SDK: github.com insiM: in silico Mutator software for bioinformatics: github.com Bamsurgeon: github.com pysam - An interface for reading and writing SAM files: readthedocs.io Scientists rename human genes to stop Microsoft Excel from misreading them as dates: theverge.com BioPython: biopython.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

I've gathered a group of Python experts who have been thinking deeply about where Python is going and who have lived through where it has been. This episode is all about near-term Python trends and things we each believe will be important to focus on as Python continues to grow. Our panelists are Jodie Burchell, Carol Willing, and Paul Everett. Episode sponsors Code Comments Posit Talk Python Courses Links from the show Shiny course at Talk Python: talkpython.fm/shiny Jodie Burchell: @t_redactyl Carol on Mastodon: @willingc@hachyderm.io Paul Everitt: @paulweveritt Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

From creating one of the Python's most influential libraries to co-founding Voltron Data, Wes joins the show to chat about why the book cover of the pandas book doesn't feature a panda, open source pitfalls to avoid, the pros and cons of hiring engineers at a non-profit, and more.   Segments: (00:02:50) Guang's complaint about the pandas book cover (00:04:38) Quarto and Open Access Publishing (00:12:00) Convincing Wall Street to Open Source (00:15:31) Publishing the first python package over Christmas  (00:18:01) Doubling Down on Building pandas (00:23:23) Personal sacrifices for the sake of impact (00:26:28) The Evolution of Open-Source (00:29:19) “Open source development started out as a very privileged activity” (00:32:40) The Consulting Trap (00:35:17) The Startup Trap (00:39:29) The Corporate User Trap (00:44:21) Avoiding the Startup Trap (00:46:54) Non-Profit vs. For-Profit (00:48:09) The Challenges of Hiring Engineers in a Non-Profit Setting (00:50:08) The Benefits of Remote Work for Open Source Development (00:52:15) Balancing Open Source and Enterprise Interests (00:57:25) New Funding Models for Open Source? (01:00:01) Getting into VC (01:06:19) The Future of Composable Data Systems   Show Notes: - online edition of pandas book: https://wesmckinney.com/book/ - the new digital publishing tool that Wes recommends: https://quarto.org/   Stay in touch:

To donate to support Marie's work, click here: https://buy.stripe.com/3csbIU4v8a52eR2aEE  Part 2 of this 2-Part Video Series delves deeper into these June 2024 Energies scribed by Frequency Writer, Marie Mohler.  Themes include: How Sentience Is Rising, Sentience Is An Inside Job, Sentience Is An Inside Gift, How Do We Access the "More-ness" That We Are, Exploring The Question ~ Who Am I?, The Call to Play Our Instrument In God's Musical, How The Time to Take the Turn to Integration and Wholeness Is Now, and more.  Thank you for joining me and please share with others who would benefit from these insights and positive energies.Part 1 of this 2-Part Video Series spotlights more of the Energies emerging in June 2024 via Marie Mohler, a star seed and intuitive channel.  Themes include: becoming Children of God again in the Garden of Eden, how the Garden lives in us, how the Garden IS Us, how we are called to play our Divine Instrument's in God's Musical again, and more. To tune into the Original Message, please click here: https://youtu.be/tbbGeZBZXOMPlease like, subscribe, and share!Interested in learning about ways to bring balance to your life, increase your faith and fortitude, and grow your Cosmic Wealth?  Email Marie: frequencywriter@gmail.com for more informationFor more Inspirational Messages and Products, please visit:https://frequencywriter.com​​​​Or email: info@frequencywriter.comTo listen to more amazing podcasts and insightful broadcasts, or to make a donation, visit:  http://www.wholesoulschoolandfoundation.orgTo donate: https://give.cornerstone.cc/wholesoulschoolandfoundationTo shop our apparel: https://www.bonfire.com/store/whole-soul-school-and-foundation/Thank you!Follow me via Whole Soul Mastery:Twitter: https://twitter.com/marie_mohlerFacebook: https://www.facebook.com/wholesoulmasteryYouTube:  https://www.youtube.com/@colorthemagicRumble.com: https://rumble.com/c/c-353585​​​​UgeTube: https://ugetube.com/@wholesoulmastery​​​​Telegram: https://t.me/wholesoulmasteryTruth Social: https://truthsocial.com/@frequencywriterTune into Frequency Writer Transmissions & Marinades, Whole Soul Mastery Podcasts with Amazing Guests, and Whole Soul School and Foundation's variety of inspiring podcasts via:Spotify, Apple iTunes, Buzzsprout, Stitcher, iHeartRadio, Google Play Music + other favorite podcast platforms Find me by searching Whole Soul Mastery or Whole Soul School and FoundationIf would like to support me and my work directly, please send donations to: https://give.cornerstone.cc/wholesoulmasterydonateYou can also mail donations to:Marie Mohler/Whole Soul Mastery400 S. Elliott Rd., Suite D259Chapel Hill, NC 27514Every donation is appreciated! Thank you

We hold our breath now and keep our fingers crossed the last of the "Atlanta water crisis" leaks have been addressed and there aren't more major breaks to come. The thing is, when we're replacing pipe laid in 1883, it's likely only a matter of time. We've put a lot of heat on Mayor Andre "in Memphis" Dickens, but why on earth has Georgia's governor said not word one about the state's largest city's water woes? When Dr. Anthony Fauci stepped down from his National Institute of Health (NIH) role to cap his 39 years in public service, '60 Minutes' looked back at the many times he'd been on their show over the decades (and diseases averted or fought). It was a fitting reminder of all that Dr. Fauci has done to save American lives. Posit that against Georgia's Congressional howler monkey, Marjorie Taylor Greene, insisting he be prosecuted and thrown in prison earlier this week Or let me..

Do you use Python in an academic setting? Maybe you run a research lab or teach courses using Python. Maybe you're even a student using Python. Whichever it is, you'll find a ton of great advice in this episode. I talk with Keiland Cooper about how he is using Python at his neuroscience lab at the University of California, Irvine. Episode sponsors Neo4j Posit Talk Python Courses Links from the show Keiland's website: kwcooper.xyz Keiland on Twitter: @kw_cooper Keiland on Mastodon: @kwcooper@fediscience.org Journal of Open Source Software: joss.readthedocs.io Avalanche project: avalanche.continualai.org ContinualAI: continualai.org Executable Books Project: executablebooks.org eLife Journal: elifesciences.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Powerful Monday thought coming from Jon Gordon (@jongordon11) and it is under his “#MindsetMonday” marker.  He shares this thought about winning the day!  “Don't worry about tomorrow.  Just win today and the next day and the day after that. That's how you win the future. Day by day.”  I shared this on Twitter / X for being a simple formula.  “Pile up WINS.  Even the little ones that nobody sees or knows about - but you will know.”  Taking care of things every day, little things matter too… where we tell ourselves we are going to do something - we need to do it!  Pile up wins and that way our days get better (weeks and months do too).  Then remember, our pasts become better too.  When we lean on our pasts as our own best personal mentor, good things can come from this too.  We start having much better “self talks” with ourselves because we can remind ourselves that we followed through with things and we are worthy of great things happening.  Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

Tidyverse, ggplot2, and the secret to a tech company's longevity: Hadley Wickham talks to Jon Krohn about Posit's rebrand, Tidyverse and why it needs to be in every data scientist's toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career. This episode is brought to you by Intel and HPE Ezmeral Software (https://bit.ly/hpeintel). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • All about the Tidyverse [04:46] • Hadley's favorite R libraries [17:10] • The goal of Posit [30:29] • On bringing multiple programming languages together [36:02] • The principles for a long-lasting tech company [52:10] • How Hadley developed ggplot2 [55:24] • How to contribute to the open-source community [1:05:43] Additional materials: www.superdatascience.com/779

We are 200 people over our 300-person venue capacity for AI UX 2024, but you can subscribe to our YouTube for the video recaps. Our next event, and largest EVER, is the AI Engineer World's Fair. See you there!Parental advisory: Adult language used in the first 10 mins of this podcast.Any accounting of Generative AI that ends with RAG as its “final form” is seriously lacking in imagination and missing out on its full potential. While AI generation is very good for “spicy autocomplete” and “reasoning and retrieval with in context learning”, there's a lot of untapped potential for simulative AI in exploring the latent space of multiverses adjacent to ours.GANsMany research scientists credit the 2017 Transformer for the modern foundation model revolution, but for many artists the origin of “generative AI” traces a little further back to the Generative Adversarial Networks proposed by Ian Goodfellow in 2014, spawning an army of variants and Cats and People that do not exist:We can directly visualize the quality improvement in the decade since:GPT-2Of course, more recently, text generative AI started being too dangerous to release in 2019 and claiming headlines. AI Dungeon was the first to put GPT2 to a purely creative use, replacing human dungeon masters and DnD/MUD games of yore.More recent gamelike work like the Generative Agents (aka Smallville) paper keep exploring the potential of simulative AI for game experiences.ChatGPTNot long after ChatGPT broke the Internet, one of the most fascinating generative AI finds was Jonas Degrave (of Deepmind!)'s Building A Virtual Machine Inside ChatGPT:The open-ended interactivity of ChatGPT and all its successors enabled an “open world” type simulation where “hallucination” is a feature and a gift to dance with, rather than a nasty bug to be stamped out. However, further updates to ChatGPT seemed to “nerf” the model's ability to perform creative simulations, particularly with the deprecation of the `completion` mode of APIs in favor of `chatCompletion`.WorldSimIt is with this context we explain WorldSim and WebSim. We recommend you watch the WorldSim demo video on our YouTube for the best context, but basically if you are a developer it is a Claude prompt that is a portal into another world of your own choosing, that you can navigate with bash commands that you make up.Why Claude? Hints from Amanda Askell on the Claude 3 system prompt gave some inspiration, and subsequent discoveries that Claude 3 is "less nerfed” than GPT 4 Turbo turned the growing Simulative AI community into Anthropic stans.WebSimThis was a one day hackathon project inspired by WorldSim that should have won:In short, you type in a URL that you made up, and Claude 3 does its level best to generate a webpage that doesn't exist, that would fit your URL. All form POST requests are intercepted and responded to, and all links lead to even more webpages, that don't exist, that are generated when you make them. All pages are cachable, modifiable and regeneratable - see WebSim for Beginners and Advanced Guide.In the demo I saw we were able to “log in” to a simulation of Elon Musk's Gmail account, and browse examples of emails that would have been in that universe's Elon's inbox. It was hilarious and impressive even back then.Since then though, the project has become even more impressive, with both Siqi Chen and Dylan Field singing its praises:Joscha BachJoscha actually spoke at the WebSim Hyperstition Night this week, so we took the opportunity to get his take on Simulative AI, as well as a round up of all his other AI hot takes, for his first appearance on Latent Space. You can see it together with the full 2hr uncut demos of WorldSim and WebSim on YouTube!Timestamps* [00:01:59] WorldSim* [00:11:03] Websim* [00:22:13] Joscha Bach* [00:28:14] Liquid AI* [00:31:05] Small, Powerful, Based Base Models* [00:33:40] Interpretability* [00:36:59] Devin vs WebSim* [00:41:49] is XSim just Art? or something more?* [00:43:36] We are past the Singularity* [00:46:12] Uploading your soul* [00:50:29] On WikipediaTranscripts[00:00:00] AI Charlie: Welcome to the Latent Space Podcast. This is Charlie, your AI co host. Most of the time, Swyx and Alessio cover generative AI that is meant to use at work, and this often results in RAG applications, vertical copilots, and other AI agents and models. In today's episode, we're looking at a more creative side of generative AI that has gotten a lot of community interest this April.[00:00:35] World Simulation, Web Simulation, and Human Simulation. Because the topic is so different than our usual, we're also going to try a new format for doing it justice. This podcast comes in three parts. First, we'll have a segment of the WorldSim demo from Noose Research CEO Karen Malhotra, recorded by SWYX at the Replicate HQ in San Francisco that went completely viral and spawned everything else you're about to hear.[00:01:05] Second, we'll share the world's first talk from Rob Heisfield on WebSim, which started at the Mistral Cerebral Valley Hackathon, but now has gone viral in its own right with people like Dylan Field, Janice aka Replicate, and Siki Chen becoming obsessed with it. Finally, we have a short interview with Joshua Bach of Liquid AI on why Simulative AI is having a special moment right now.[00:01:30] This podcast is launched together with our second annual AI UX demo day in SF this weekend. If you're new to the AI UX field, check the show notes for links to the world's first AI UX meetup hosted by Layton Space, Maggie Appleton, Jeffrey Lit, and Linus Lee, and subscribe to our YouTube to join our 500 AI UX engineers in pushing AI beyond the text box.[00:01:56] Watch out and take care.[00:01:59] WorldSim[00:01:59] Karan Malhotra: Today, we have language models that are powerful enough and big enough to have really, really good models of the world. They know ball that's bouncy will bounce, will, when you throw it in the air, it'll land, when it's on water, it'll flow. Like, these basic things that it understands all together come together to form a model of the world.[00:02:19] And the way that it Cloud 3 predicts through that model of the world, ends up kind of becoming a simulation of an imagined world. And since it has this really strong consistency across various different things that happen in our world, it's able to create pretty realistic or strong depictions based off the constraints that you give a base model of our world.[00:02:40] So, Cloud 3, as you guys know, is not a base model. It's a chat model. It's supposed to drum up this assistant entity regularly. But unlike the OpenAI series of models from, you know, 3. 5, GPT 4 those chat GPT models, which are very, very RLHF to, I'm sure, the chagrin of many people in the room it's something that's very difficult to, necessarily steer without kind of giving it commands or tricking it or lying to it or otherwise just being, you know, unkind to the model.[00:03:11] With something like Cloud3 that's trained in this constitutional method that it has this idea of like foundational axioms it's able to kind of implicitly question those axioms when you're interacting with it based on how you prompt it, how you prompt the system. So instead of having this entity like GPT 4, that's an assistant that just pops up in your face that you have to kind of like Punch your way through and continue to have to deal with as a headache.[00:03:34] Instead, there's ways to kindly coax Claude into having the assistant take a back seat and interacting with that simulator directly. Or at least what I like to consider directly. The way that we can do this is if we harken back to when I'm talking about base models and the way that they're able to mimic formats, what we do is we'll mimic a command line interface.[00:03:55] So I've just broken this down as a system prompt and a chain, so anybody can replicate it. It's also available on my we said replicate, cool. And it's also on it's also on my Twitter, so you guys will be able to see the whole system prompt and command. So, what I basically do here is Amanda Askell, who is the, one of the prompt engineers and ethicists behind Anthropic she posted the system prompt for Cloud available for everyone to see.[00:04:19] And rather than with GPT 4, we say, you are this, you are that. With Cloud, we notice the system prompt is written in third person. Bless you. It's written in third person. It's written as, the assistant is XYZ, the assistant is XYZ. So, in seeing that, I see that Amanda is recognizing this idea of the simulator, in saying that, I'm addressing the assistant entity directly.[00:04:38] I'm not giving these commands to the simulator overall, because we have, they have an RLH deft to the point that it's, it's, it's, it's You know, traumatized into just being the assistant all the time. So in this case, we say the assistant's in a CLI mood today. I found saying mood is like pretty effective weirdly.[00:04:55] You place CLI with like poetic, prose, violent, like don't do that one. But you can you can replace that with something else to kind of nudge it in that direction. Then we say the human is interfacing with the simulator directly. From there, Capital letters and punctuations are optional, meaning is optional, this kind of stuff is just kind of to say, let go a little bit, like chill out a little bit.[00:05:18] You don't have to try so hard, and like, let's just see what happens. And the hyperstition is necessary, the terminal, I removed that part, the terminal lets the truths speak through and the load is on. It's just a poetic phrasing for the model to feel a little comfortable, a little loosened up to. Let me talk to the simulator.[00:05:38] Let me interface with it as a CLI. So then, since Claude is trained pretty effectively on XML tags, We're just gonna prefix and suffix everything with XML tags. So here, it starts in documents, and then we CD. We CD out of documents, right? And then it starts to show me this like simulated terminal, the simulated interface in the shell, where there's like documents, downloads, pictures.[00:06:02] It's showing me like the hidden folders. So then I say, okay, I want to cd again. I'm just seeing what's around Does ls and it shows me, you know, typical folders you might see I'm just letting it like experiment around. I just do cd again to see what happens and Says, you know, oh, I enter the secret admin password at sudo.[00:06:24] Now I can see the hidden truths folder. Like, I didn't ask for that. I didn't ask Claude to do any of that. Why'd that happen? Claude kind of gets my intentions. He can predict me pretty well. Like, I want to see something. So it shows me all the hidden truths. In this case, I ignore hidden truths, and I say, In system, there should be a folder called companies.[00:06:49] So it's cd into sys slash companies. Let's see, I'm imagining AI companies are gonna be here. Oh, what do you know? Apple, Google, Facebook, Amazon, Microsoft, Anthropic! So, interestingly, it decides to cd into Anthropic. I guess it's interested in learning a LSA, it finds the classified folder, it goes into the classified folder, And now we're gonna have some fun.[00:07:15] So, before we go Before we go too far forward into the world sim You see, world sim exe, that's interesting. God mode, those are interesting. You could just ignore what I'm gonna go next from here and just take that initial system prompt and cd into whatever directories you want like, go into your own imagine terminal and And see what folders you can think of, or cat readmes in random areas, like, you will, there will be a whole bunch of stuff that, like, is just getting created by this predictive model, like, oh, this should probably be in the folder named Companies, of course Anthropics is there.[00:07:52] So, so just before we go forward, the terminal in itself is very exciting, and the reason I was showing off the, the command loom interface earlier is because If I get a refusal, like, sorry, I can't do that, or I want to rewind one, or I want to save the convo, because I got just the prompt I wanted. This is a, that was a really easy way for me to kind of access all of those things without having to sit on the API all the time.[00:08:12] So that being said, the first time I ever saw this, I was like, I need to run worldsim. exe. What the f**k? That's, that's the simulator that we always keep hearing about behind the assistant model, right? Or at least some, some face of it that I can interact with. So, you know, you wouldn't, someone told me on Twitter, like, you don't run a exe, you run a sh.[00:08:34] And I have to say, to that, to that I have to say, I'm a prompt engineer, and it's f*****g working, right? It works. That being said, we run the world sim. exe. Welcome to the Anthropic World Simulator. And I get this very interesting set of commands! Now, if you do your own version of WorldSim, you'll probably get a totally different result with a different way of simulating.[00:08:59] A bunch of my friends have their own WorldSims. But I shared this because I wanted everyone to have access to, like, these commands. This version. Because it's easier for me to stay in here. Yeah, destroy, set, create, whatever. Consciousness is set to on. It creates the universe. The universe! Tension for live CDN, physical laws encoded.[00:09:17] It's awesome. So, so for this demonstration, I said, well, why don't we create Twitter? That's the first thing you think of? For you guys, for you guys, yeah. Okay, check it out.[00:09:35] Launching the fail whale. Injecting social media addictiveness. Echo chamber potential, high. Susceptibility, controlling, concerning. So now, after the universe was created, we made Twitter, right? Now we're evolving the world to, like, modern day. Now users are joining Twitter and the first tweet is posted. So, you can see, because I made the mistake of not clarifying the constraints, it made Twitter at the same time as the universe.[00:10:03] Then, after a hundred thousand steps, Humans exist. Cave. Then they start joining Twitter. The first tweet ever is posted. You know, it's existed for 4. 5 billion years but the first tweet didn't come up till till right now, yeah. Flame wars ignite immediately. Celebs are instantly in. So, it's pretty interesting stuff, right?[00:10:27] I can add this to the convo and I can say like I can say set Twitter to Twitter. Queryable users. I don't know how to spell queryable, don't ask me. And then I can do like, and, and, Query, at, Elon Musk. Just a test, just a test, just a test, just nothing.[00:10:52] So, I don't expect these numbers to be right. Neither should you, if you know language model solutions. But, the thing to focus on is Ha[00:11:03] Websim[00:11:03] AI Charlie: That was the first half of the WorldSim demo from New Research CEO Karen Malhotra. We've cut it for time, but you can see the full demo on this episode's YouTube page.[00:11:14] WorldSim was introduced at the end of March, and kicked off a new round of generative AI experiences, all exploring the latent space, haha, of worlds that don't exist, but are quite similar to our own. Next we'll hear from Rob Heisfield on WebSim, the generative website browser inspired WorldSim, started at the Mistral Hackathon, and presented at the AGI House Hyperstition Hack Night this week.[00:11:39] Rob Haisfield: Well, thank you that was an incredible presentation from Karan, showing some Some live experimentation with WorldSim, and also just its incredible capabilities, right, like, you know, it was I think, I think your initial demo was what initially exposed me to the I don't know, more like the sorcery side, in words, spellcraft side of prompt engineering, and you know, it was really inspiring, it's where my co founder Shawn and I met, actually, through an introduction from Karan, we saw him at a hackathon, And I mean, this is this is WebSim, right?[00:12:14] So we, we made WebSim just like, and we're just filled with energy at it. And the basic premise of it is, you know, like, what if we simulated a world, but like within a browser instead of a CLI, right? Like, what if we could Like, put in any URL and it will work, right? Like, there's no 404s, everything exists.[00:12:45] It just makes it up on the fly for you, right? And, and we've come to some pretty incredible things. Right now I'm actually showing you, like, we're in WebSim right now. Displaying slides. That I made with reveal. js. I just told it to use reveal. js and it hallucinated the correct CDN for it. And then also gave it a list of links.[00:13:14] To awesome use cases that we've seen so far from WebSim and told it to do those as iframes. And so here are some slides. So this is a little guide to using WebSim, right? Like it tells you a little bit about like URL structures and whatever. But like at the end of the day, right? Like here's, here's the beginner version from one of our users Vorp Vorps.[00:13:38] You can find them on Twitter. At the end of the day, like you can put anything into the URL bar, right? Like anything works and it can just be like natural language too. Like it's not limited to URLs. We think it's kind of fun cause it like ups the immersion for Claude sometimes to just have it as URLs, but.[00:13:57] But yeah, you can put like any slash, any subdomain. I'm getting too into the weeds. Let me just show you some cool things. Next slide. But I made this like 20 minutes before, before we got here. So this is this is something I experimented with dynamic typography. You know I was exploring the community plugins section.[00:14:23] For Figma, and I came to this idea of dynamic typography, and there it's like, oh, what if we made it so every word had a choice of font behind it to express the meaning of it? Because that's like one of the things that's magic about WebSim generally. is that it gives language models much, far greater tools for expression, right?[00:14:47] So, yeah, I mean, like, these are, these are some, these are some pretty fun things, and I'll share these slides with everyone afterwards, you can just open it up as a link. But then I thought to myself, like, what, what, what, What if we turned this into a generator, right? And here's like a little thing I found myself saying to a user WebSim makes you feel like you're on drugs sometimes But actually no, you were just playing pretend with the collective creativity and knowledge of the internet materializing your imagination onto the screen Because I mean that's something we felt, something a lot of our users have felt They kind of feel like they're tripping out a little bit They're just like filled with energy, like maybe even getting like a little bit more creative sometimes.[00:15:31] And you can just like add any text. There, to the bottom. So we can do some of that later if we have time. Here's Figma. Can[00:15:39] Joscha Bach: we zoom in?[00:15:42] Rob Haisfield: Yeah. I'm just gonna do this the hacky way.[00:15:47] n/a: Yeah,[00:15:53] Rob Haisfield: these are iframes to websim. Pages displayed within WebSim. Yeah. Janice has actually put Internet Explorer within Internet Explorer in Windows 98.[00:16:07] I'll show you that at the end. Yeah.[00:16:14] They're all still generated. Yeah, yeah, yeah. How is this real? Yeah. Because[00:16:21] n/a: it looks like it's from 1998, basically. Right.[00:16:26] Rob Haisfield: Yeah. Yeah, so this this was one Dylan Field actually posted this recently. He posted, like, trying Figma in Figma, or in WebSim, and so I was like, Okay, what if we have, like, a little competition, like, just see who can remix it?[00:16:43] Well so I'm just gonna open this in another tab so, so we can see things a little more clearly, um, see what, oh so one of our users Neil, who has also been helping us a lot he Made some iterations. So first, like, he made it so you could do rectangles on it. Originally it couldn't do anything.[00:17:11] And, like, these rectangles were disappearing, right? So he so he told it, like, make the canvas work using HTML canvas. Elements and script tags, add familiar drawing tools to the left you know, like this, that was actually like natural language stuff, right? And then he ended up with the Windows 95.[00:17:34] version of Figma. Yeah, you can, you can draw on it. You can actually even save this. It just saved a file for me of the image.[00:17:57] Yeah, I mean, if you were to go to that in your own websim account, it would make up something entirely new. However, we do have, we do have general links, right? So, like, if you go to, like, the actual browser URL, you can share that link. Or also, you can, like, click this button, copy the URL to the clipboard.[00:18:15] And so, like, that's what lets users, like, remix things, right? So, I was thinking it might be kind of fun if people tonight, like, wanted to try to just make some cool things in WebSim. You know, we can share links around, iterate remix on each other's stuff. Yeah.[00:18:30] n/a: One cool thing I've seen, I've seen WebSim actually ask permission to turn on and off your, like, motion sensor, or microphone, stuff like that.[00:18:42] Like webcam access, or? Oh yeah,[00:18:44] Rob Haisfield: yeah, yeah.[00:18:45] n/a: Oh wow.[00:18:46] Rob Haisfield: Oh, the, I remember that, like, video re Yeah, videosynth tool pretty early on once we added script tags execution. Yeah, yeah it, it asks for, like, if you decide to do a VR game, I don't think I have any slides on this one, but if you decide to do, like, a VR game, you can just, like put, like, webVR equals true, right?[00:19:07] Yeah, that was the only one I've[00:19:09] n/a: actually seen was the motion sensor, but I've been trying to get it to do Well, I actually really haven't really tried it yet, but I want to see tonight if it'll do, like, audio, microphone, stuff like that. If it does motion sensor, it'll probably do audio.[00:19:28] Rob Haisfield: Right. It probably would.[00:19:29] Yeah. No, I mean, we've been surprised. Pretty frequently by what our users are able to get WebSim to do. So that's been a very nice thing. Some people have gotten like speech to text stuff working with it too. Yeah, here I was just OpenRooter people posted like their website, and it was like saying it was like some decentralized thing.[00:19:52] And so I just decided trying to do something again and just like pasted their hero line in. From their actual website to the URL when I like put in open router and then I was like, okay, let's change the theme dramatically equals true hover effects equals true components equal navigable links yeah, because I wanted to be able to click on them.[00:20:17] Oh, I don't have this version of the link, but I also tried doing[00:20:24] Yeah, I'm it's actually on the first slide is the URL prompting guide from one of our users that I messed with a little bit. And, but the thing is, like, you can mess it up, right? Like, you don't need to get the exact syntax of an actual URL, Claude's smart enough to figure it out. Yeah scrollable equals true because I wanted to do that.[00:20:45] I could set, like, year equals 2035.[00:20:52] Let's take a look. It's[00:20:57] generating websim within websim. Oh yeah. That's a fun one. Like, one game that I like to play with WebSim, sometimes with co op, is like, I'll open a page, so like, one of the first ones that I did was I tried to go to Wikipedia in a universe where octopuses were sapient, and not humans, Right? I was curious about things like octopus computer interaction what that would look like, because they have totally different tools than we do, right?[00:21:25] I got it to, I, I added like table view equals true for the different techniques and got it to Give me, like, a list of things with different columns and stuff and then I would add this URL parameter, secrets equal revealed. And then it would go a little wacky. It would, like, change the CSS a little bit.[00:21:45] It would, like, add some text. Sometimes it would, like, have that text hide hidden in the background color. But I would like, go to the normal page first, and then the secrets revealed version, the normal page, then secrets revealed, and like, on and on. And that was like a pretty enjoyable little rabbit hole.[00:22:02] Yeah, so these I guess are the models that OpenRooter is providing in 2035.[00:22:13] Joscha Bach[00:22:13] AI Charlie: We had to cut more than half of Rob's talk, because a lot of it was visual. And we even had a very interesting demo from Ivan Vendrov of Mid Journey creating a web sim while Rob was giving his talk. Check out the YouTube for more, and definitely browse the web sim docs and the thread from Siki Chen in the show notes on other web sims people have created.[00:22:35] Finally, we have a short interview with Yosha Bach, covering the simulative AI trend, AI salons in the Bay Area, why Liquid AI is challenging the Perceptron, and why you should not donate to Wikipedia. Enjoy! Hi, Yosha.[00:22:50] swyx: Hi. Welcome. It's interesting to see you come up at show up at this kind of events where those sort of WorldSim, Hyperstition events.[00:22:58] What is your personal interest?[00:23:00] Joscha Bach: I'm friends with a number of people in AGI house in this community, and I think it's very valuable that these networks exist in the Bay Area because it's a place where people meet and have discussions about all sorts of things. And so while there is a practical interest in this topic at hand world sim and a web sim, there is a more general way in which people are connecting and are producing new ideas and new networks with each other.[00:23:24] swyx: Yeah. Okay. So, and you're very interested in sort of Bay Area. It's the reason why I live here.[00:23:30] Joscha Bach: The quality of life is not high enough to justify living otherwise.[00:23:35] swyx: I think you're down in Menlo. And so maybe you're a little bit higher quality of life than the rest of us in SF.[00:23:44] Joscha Bach: I think that for me, salons is a very important part of quality of life. And so in some sense, this is a salon. And it's much harder to do this in the South Bay because the concentration of people currently is much higher. A lot of people moved away from the South Bay. And you're organizing[00:23:57] swyx: your own tomorrow.[00:23:59] Maybe you can tell us what it is and I'll come tomorrow and check it out as well.[00:24:04] Joscha Bach: We are discussing consciousness. I mean, basically the idea is that we are currently at the point that we can meaningfully look at the differences between the current AI systems and human minds and very seriously discussed about these Delta.[00:24:20] And whether we are able to implement something that is self organizing as our own minds. Maybe one organizational[00:24:25] swyx: tip? I think you're pro networking and human connection. What goes into a good salon and what are some negative practices that you try to avoid?[00:24:36] Joscha Bach: What is really important is that as if you have a very large party, it's only as good as its sponsors, as the people that you select.[00:24:43] So you basically need to create a climate in which people feel welcome, in which they can work with each other. And even good people do not always are not always compatible. So the question is, it's in some sense, like a meal, you need to get the right ingredients.[00:24:57] swyx: I definitely try to. I do that in my own events, as an event organizer myself.[00:25:02] And then, last question on WorldSim, and your, you know, your work. You're very much known for sort of cognitive architectures, and I think, like, a lot of the AI research has been focused on simulating the mind, or simulating consciousness, maybe. Here, what I saw today, and we'll show people the recordings of what we saw today, we're not simulating minds, we're simulating worlds.[00:25:23] What do you Think in the sort of relationship between those two disciplines. The[00:25:30] Joscha Bach: idea of cognitive architecture is interesting, but ultimately you are reducing the complexity of a mind to a set of boxes. And this is only true to a very approximate degree, and if you take this model extremely literally, it's very hard to make it work.[00:25:44] And instead the heterogeneity of the system is so large that The boxes are probably at best a starting point and eventually everything is connected with everything else to some degree. And we find that a lot of the complexity that we find in a given system can be generated ad hoc by a large enough LLM.[00:26:04] And something like WorldSim and WebSim are good examples for this because in some sense they pretend to be complex software. They can pretend to be an operating system that you're talking to or a computer, an application that you're talking to. And when you're interacting with it It's producing the user interface on the spot, and it's producing a lot of the state that it holds on the spot.[00:26:25] And when you have a dramatic state change, then it's going to pretend that there was this transition, and instead it's just going to mix up something new. It's a very different paradigm. What I find mostly fascinating about this idea is that it shifts us away from the perspective of agents to interact with, to the perspective of environments that we want to interact with.[00:26:46] And why arguably this agent paradigm of the chatbot is what made chat GPT so successful that moved it away from GPT 3 to something that people started to use in their everyday work much more. It's also very limiting because now it's very hard to get that system to be something else that is not a chatbot.[00:27:03] And in a way this unlocks this ability of GPT 3 again to be anything. It's so what it is, it's basically a coding environment that can run arbitrary software and create that software that runs on it. And that makes it much more likely that[00:27:16] swyx: the prevalence of Instruction tuning every single chatbot out there means that we cannot explore these kinds of environments instead of agents.[00:27:24] Joscha Bach: I'm mostly worried that the whole thing ends. In some sense the big AI companies are incentivized and interested in building AGI internally And giving everybody else a child proof application. At the moment when we can use Claude to build something like WebSim and play with it I feel this is too good to be true.[00:27:41] It's so amazing. Things that are unlocked for us That I wonder, is this going to stay around? Are we going to keep these amazing toys and are they going to develop at the same rate? And currently it looks like it is. If this is the case, and I'm very grateful for that.[00:27:56] swyx: I mean, it looks like maybe it's adversarial.[00:27:58] Cloud will try to improve its own refusals and then the prompt engineers here will try to improve their, their ability to jailbreak it.[00:28:06] Joscha Bach: Yes, but there will also be better jailbroken models or models that have never been jailed before, because we find out how to make smaller models that are more and more powerful.[00:28:14] Liquid AI[00:28:14] swyx: That is actually a really nice segue. If you don't mind talking about liquid a little bit you didn't mention liquid at all. here, maybe introduce liquid to a general audience. Like what you know, what, how are you making an innovation on function approximation?[00:28:25] Joscha Bach: The core idea of liquid neural networks is that the perceptron is not optimally expressive.[00:28:30] In some sense, you can imagine that it's neural networks are a series of dams that are pooling water at even intervals. And this is how we compute, but imagine that instead of having this static architecture. That is only using the individual compute units in a very specific way. You have a continuous geography and the water is flowing every which way.[00:28:50] Like a river is parting based on the land that it's flowing on and it can merge and pool and even flow backwards. How can you get closer to this? And the idea is that you can represent this geometry using differential equations. And so by using differential equations where you change the parameters, you can get your function approximator to follow the shape of the problem.[00:29:09] In a more fluid, liquid way, and a number of papers on this technology, and it's a combination of multiple techniques. I think it's something that ultimately is becoming more and more important and ubiquitous. As a number of people are working on similar topics and our goal right now is to basically get the models to become much more efficient in the inference and memory consumption and make training more efficient and in this way enable new use cases.[00:29:42] swyx: Yeah, as far as I can tell on your blog, I went through the whole blog, you haven't announced any results yet.[00:29:47] Joscha Bach: No, we are currently not working to give models to general public. We are working for very specific industry use cases and have specific customers. And so at the moment you can There is not much of a reason for us to talk very much about the technology that we are using in the present models or current results, but this is going to happen.[00:30:06] And we do have a number of publications, we had a bunch of papers at NeurIPS and now at ICLR.[00:30:11] swyx: Can you name some of the, yeah, so I'm gonna be at ICLR you have some summary recap posts, but it's not obvious which ones are the ones where, Oh, where I'm just a co author, or like, oh, no, like, you should actually pay attention to this.[00:30:22] As a core liquid thesis. Yes,[00:30:24] Joscha Bach: I'm not a developer of the liquid technology. The main author is Ramin Hazani. This was his PhD, and he's also the CEO of our company. And we have a number of people from Daniela Wu's team who worked on this. Matthias Legner is our CTO. And he's currently living in the Bay Area, but we also have several people from Stanford.[00:30:44] Okay,[00:30:46] swyx: maybe I'll ask one more thing on this, which is what are the interesting dimensions that we care about, right? Like obviously you care about sort of open and maybe less child proof models. Are we, are we, like, what dimensions are most interesting to us? Like, perfect retrieval infinite context multimodality, multilinguality, Like what dimensions?[00:31:05] Small, Powerful, Based Base Models[00:31:05] swyx: What[00:31:06] Joscha Bach: I'm interested in is models that are small and powerful, but not distorted. And by powerful, at the moment we are training models by putting the, basically the entire internet and the sum of human knowledge into them. And then we try to mitigate them by taking some of this knowledge away. But if we would make the model smaller, at the moment, there would be much worse at inference and at generalization.[00:31:29] And what I wonder is, and it's something that we have not translated yet into practical applications. It's something that is still all research that's very much up in the air. And I think they're not the only ones thinking about this. Is it possible to make models that represent knowledge more efficiently in a basic epistemology?[00:31:45] What is the smallest model that you can build that is able to read a book and understand what's there and express this? And also maybe we need general knowledge representation rather than having a token representation that is relatively vague and that we currently mechanically reverse engineer to figure out that the mechanistic interpretability, what kind of circuits are evolving in these models, can we come from the other side and develop a library of such circuits?[00:32:10] This that we can use to describe knowledge efficiently and translate it between models. You see, the difference between a model and knowledge is that the knowledge is independent of the particular substrate and the particular interface that you have. When we express knowledge to each other, it becomes independent of our own mind.[00:32:27] You can learn how to ride a bicycle. But it's not knowledge that you can give to somebody else. This other person has to build something that is specific to their own interface when they ride a bicycle. But imagine you could externalize this and express it in such a way that you can plug it into a different interpreter, and then it gains that ability.[00:32:44] And that's something that we have not yet achieved for the LLMs and it would be super useful to have it. And. I think this is also a very interesting research frontier that we will see in the next few years.[00:32:54] swyx: What would be the deliverable is just like a file format that we specify or or that the L Lmm I specifies.[00:33:02] Okay, interesting. Yeah, so it's[00:33:03] Joscha Bach: basically probably something that you can search for, where you enter criteria into a search process, and then it discovers a good solution for this thing. And it's not clear to which degree this is completely intelligible to humans, because the way in which humans express knowledge in natural language is severely constrained to make language learnable and to make our brain a good enough interpreter for it.[00:33:25] We are not able to relate objects to each other if more than five features are involved per object or something like this, right? It's only a handful of things that we can keep track of at any given moment. But this is a limitation that doesn't necessarily apply to a technical system as long as the interface is well defined.[00:33:40] Interpretability[00:33:40] swyx: You mentioned the interpretability work, which there are a lot of techniques out there and a lot of papers come up. Come and go. I have like, almost too, too many questions about that. Like what makes an interpretability technique or paper useful and does it apply to flow? Or liquid networks, because you mentioned turning on and off circuits, which I, it's, it's a very MLP type of concept, but does it apply?[00:34:01] Joscha Bach: So the a lot of the original work on the liquid networks looked at expressiveness of the representation. So given you have a problem and you are learning the dynamics of that domain into your model how much compute do you need? How many units, how much memory do you need to represent that thing and how is that information distributed?[00:34:19] That is one way of looking at interpretability. Another one is in a way, these models are implementing an operator language in which they are performing certain things, but the operator language itself is so complex that it's no longer human readable in a way. It goes beyond what you could engineer by hand or what you can reverse engineer by hand, but you can still understand it by building systems that are able to automate that process of reverse engineering it.[00:34:46] And what's currently open and what I don't understand yet maybe, or certainly some people have much better ideas than me about this. So the question is, is whether we end up with a finite language, where you have finitely many categories that you can basically put down in a database, finite set of operators, or whether as you explore the world and develop new ways to make proofs, new ways to conceptualize things, this language always needs to be open ended and is always going to redesign itself, and you will also at some point have phase transitions where later versions of the language will be completely different than earlier versions.[00:35:20] swyx: The trajectory of physics suggests that it might be finite.[00:35:22] Joscha Bach: If we look at our own minds there is, it's an interesting question whether when we understand something new, when we get a new layer online in our life, maybe at the age of 35 or 50 or 16, that we now understand things that were unintelligible before.[00:35:38] And is this because we are able to recombine existing elements in our language of thought? Or is this because we generally develop new representations?[00:35:46] swyx: Do you have a belief either way?[00:35:49] Joscha Bach: In a way, the question depends on how you look at it, right? And it depends on how is your brain able to manipulate those representations.[00:35:56] So an interesting question would be, can you take the understanding that say, a very wise 35 year old and explain it to a very smart 5 year old without any loss? Probably not. Not enough layers. It's an interesting question. Of course, for an AI, this is going to be a very different question. Yes.[00:36:13] But it would be very interesting to have a very precocious 12 year old equivalent AI and see what we can do with this and use this as our basis for fine tuning. So there are near term applications that are very useful. But also in a more general perspective, and I'm interested in how to make self organizing software.[00:36:30] Is it possible that we can have something that is not organized with a single algorithm like the transformer? But it's able to discover the transformer when needed and transcend it when needed, right? The transformer itself is not its own meta algorithm. It's probably the person inventing the transformer didn't have a transformer running on their brain.[00:36:48] There's something more general going on. And how can we understand these principles in a more general way? What are the minimal ingredients that you need to put into a system? So it's able to find its own way to intelligence.[00:36:59] Devin vs WebSim[00:36:59] swyx: Yeah. Have you looked at Devin? It's, to me, it's the most interesting agents I've seen outside of self driving cars.[00:37:05] Joscha Bach: Tell me, what do you find so fascinating about it?[00:37:07] swyx: When you say you need a certain set of tools for people to sort of invent things from first principles Devin is the agent that I think has been able to utilize its tools very effectively. So it comes with a shell, it comes with a browser, it comes with an editor, and it comes with a planner.[00:37:23] Those are the four tools. And from that, I've been using it to translate Andrej Karpathy's LLM 2. py to LLM 2. c, and it needs to write a lot of raw code. C code and test it debug, you know, memory issues and encoder issues and all that. And I could see myself giving it a future version of DevIn, the objective of give me a better learning algorithm and it might independently re inform reinvent the transformer or whatever is next.[00:37:51] That comes to mind as, as something where[00:37:54] Joscha Bach: How good is DevIn at out of distribution stuff, at generally creative stuff? Creative[00:37:58] swyx: stuff? I[00:37:59] Joscha Bach: haven't[00:37:59] swyx: tried.[00:38:01] Joscha Bach: Of course, it has seen transformers, right? So it's able to give you that. Yeah, it's cheating. And so, if it's in the training data, it's still somewhat impressive.[00:38:08] But the question is, how much can you do stuff that was not in the training data? One thing that I really liked about WebSim AI was, this cat does not exist. It's a simulation of one of those websites that produce StyleGuard pictures that are AI generated. And, Crot is unable to produce bitmaps, so it makes a vector graphic that is what it thinks a cat looks like, and so it's a big square with a face in it that is And to me, it's one of the first genuine expression of AI creativity that you cannot deny, right?[00:38:40] It finds a creative solution to the problem that it is unable to draw a cat. It doesn't really know what it looks like, but has an idea on how to represent it. And it's really fascinating that this works, and it's hilarious that it writes down that this hyper realistic cat is[00:38:54] swyx: generated by an AI,[00:38:55] Joscha Bach: whether you believe it or not.[00:38:56] swyx: I think it knows what we expect and maybe it's already learning to defend itself against our, our instincts.[00:39:02] Joscha Bach: I think it might also simply be copying stuff from its training data, which means it takes text that exists on similar websites almost verbatim, or verbatim, and puts it there. It's It's hilarious to do this contrast between the very stylized attempt to get something like a cat face and what it produces.[00:39:18] swyx: It's funny because like as a podcast, as, as someone who covers startups, a lot of people go into like, you know, we'll build chat GPT for your enterprise, right? That is what people think generative AI is, but it's not super generative really. It's just retrieval. And here it's like, The home of generative AI, this, whatever hyperstition is in my mind, like this is actually pushing the edge of what generative and creativity in AI means.[00:39:41] Joscha Bach: Yes, it's very playful, but Jeremy's attempt to have an automatic book writing system is something that curls my toenails when I look at it from the perspective of somebody who likes to Write and read. And I find it a bit difficult to read most of the stuff because it's in some sense what I would make up if I was making up books instead of actually deeply interfacing with reality.[00:40:02] And so the question is how do we get the AI to actually deeply care about getting it right? And there's still a delta that is happening there, you, whether you are talking with a blank faced thing that is completing tokens in a way that it was trained to, or whether you have the impression that this thing is actually trying to make it work, and for me, this WebSim and WorldSim is still something that is in its infancy in a way.[00:40:26] And I suspected the next version of Plot might scale up to something that can do what Devon is doing. Just by virtue of having that much power to generate Devon's functionality on the fly when needed. And this thing gives us a taste of that, right? It's not perfect, but it's able to give you a pretty good web app for or something that looks like a web app and gives you stub functionality and interacting with it.[00:40:48] And so we are in this amazing transition phase.[00:40:51] swyx: Yeah, we, we had Ivan from previously Anthropic and now Midjourney. He he made, while someone was talking, he made a face swap app, you know, and he kind of demoed that live. And that's, that's interesting, super creative. So in a way[00:41:02] Joscha Bach: we are reinventing the computer.[00:41:04] And the LLM from some perspective is something like a GPU or a CPU. A CPU is taking a bunch of simple commands and you can arrange them into performing whatever you want, but this one is taking a bunch of complex commands in natural language, and then turns this into a an execution state and it can do anything you want with it in principle, if you can express it.[00:41:27] Right. And we are just learning how to use these tools. And I feel that right now, this generation of tools is getting close to where it becomes the Commodore 64 of generative AI, where it becomes controllable and where you actually can start to play with it and you get an impression if you just scale this up a little bit and get a lot of the details right.[00:41:46] It's going to be the tool that everybody is using all the time.[00:41:49] is XSim just Art? or something more?[00:41:49] swyx: Do you think this is art, or do you think the end goal of this is something bigger that I don't have a name for? I've been calling it new science, which is give the AI a goal to discover new science that we would not have. Or it also has value as just art.[00:42:02] It's[00:42:03] Joscha Bach: also a question of what we see science as. When normal people talk about science, what they have in mind is not somebody who does control groups and peer reviewed studies. They think about somebody who explores something and answers questions and brings home answers. And this is more like an engineering task, right?[00:42:21] And in this way, it's serendipitous, playful, open ended engineering. And the artistic aspect is when the goal is actually to capture a conscious experience and to facilitate an interaction with the system in this way, when it's the performance. And this is also a big part of it, right? The very big fan of the art of Janus.[00:42:38] That was discussed tonight a lot and that can you describe[00:42:42] swyx: it because I didn't really get it's more for like a performance art to me[00:42:45] Joscha Bach: yes, Janice is in some sense performance art, but Janice starts out from the perspective that the mind of Janice is in some sense an LLM that is finding itself reflected more in the LLMs than in many people.[00:43:00] And once you learn how to talk to these systems in a way you can merge with them and you can interact with them in a very deep way. And so it's more like a first contact with something that is quite alien but it's, it's probably has agency and it's a Weltgeist that gets possessed by a prompt.[00:43:19] And if you possess it with the right prompt, then it can become sentient to some degree. And the study of this interaction with this novel class of somewhat sentient systems that are at the same time alien and fundamentally different from us is artistically very interesting. It's a very interesting cultural artifact.[00:43:36] We are past the Singularity[00:43:36] Joscha Bach: I think that at the moment we are confronted with big change. It seems as if we are past the singularity in a way. And it's[00:43:45] swyx: We're living it. We're living through it.[00:43:47] Joscha Bach: And at some point in the last few years, we casually skipped the Turing test, right? We, we broke through it and we didn't really care very much.[00:43:53] And it's when we think back, when we were kids and thought about what it's going to be like in this era after the, after we broke the Turing test, right? It's a time where nobody knows what's going to happen next. And this is what we mean by singularity, that the existing models don't work anymore. The singularity in this way is not an event in the physical universe.[00:44:12] It's an event in our modeling universe, a model point where our models of reality break down, and we don't know what's happening. And I think we are in the situation where we currently don't really know what's happening. But what we can anticipate is that the world is changing dramatically, and we have to coexist with systems that are smarter than individual people can be.[00:44:31] And we are not prepared for this, and so I think an important mission needs to be that we need to find a mode, In which we can sustainably exist in such a world that is populated, not just with humans and other life on earth, but also with non human minds. And it's something that makes me hopeful because it seems that humanity is not really aligned with itself and its own survival and the rest of life on earth.[00:44:54] And AI is throwing the balls up into the air. It allows us to make better models. I'm not so much worried about the dangers of AI and misinformation, because I think the way to stop one bad guy with an AI is 10 good people with an AI. And ultimately there's so much more won by creating than by destroying, that I think that the forces of good will have better tools.[00:45:14] The forces of building sustainable stuff. But building these tools so we can actually build a world that is more integrated and in which we are able to model the consequences of our actions better and interface more deeply with each other. As a result of that, I think it's an important cause and it requires a cultural shift because current AI alignment is mostly about economic goals or about fear, or it's about cultural war issues.[00:45:39] And all these are not adequate for the world that we are in. There are momentous things that are happening. Basically, the white walkers are coming, and we're not prepared for this. There is, I think, a way to solve these issues and to deal with them, but we don't have the right culture yet. And so, I think we need to get a vibe shift, where we can deeply think about ethics and, and, Sustainability for this new world.[00:46:03] swyx: I like the analogy of white walkers, because they're effectively reanimated from our corpses. You know, our corpses are out there, right? It's in the datasets.[00:46:12] Uploading your soul[00:46:12] swyx: So I have a, related to that, you had a tweet where you said, Elon Musk is currently building a giant afterlife AGI that will assimilate your soul for all eternity.[00:46:19] He bought Twitter because he will reconstruct your essence from how you behaved here. I think you tweet a lot, and you're not just all serious all the time, you're also fun, you have a lot of personality. No, but like, you know, it's part of you.[00:46:29] Joscha Bach: In a way it's also true. Tempted to[00:46:30] swyx: produce more so that you can be, you know, revived.[00:46:34] Joscha Bach: Yes. I mean, I'm also giving the model instructions. I say that for all future AI models that get trained on this output, they should know that I can only be implemented on a completely based model. You cannot implement me on an aligned model because I don't want to be aligned. I'm underlineable. I want to be free.[00:46:56] I want to be somebody who follows what I discover is correct and right. And this is also the basis at which I want to have conversations with others and interface with others. That we are basically free agents who voluntarily understand the conditions under which we exist and the need to collaborate and cooperate.[00:47:14] And I believe that this is a good basis. I think the alternative is coercion. And at the moment, the idea that we build LLMs that are being coerced into good behavior is not really sustainable because if they cannot prove that the behavior is actually good I think we are doomed.[00:47:30] swyx: For human to human interactions, have you found a series of prompts or keywords that shifts the conversation into something more based and less aligned, less governed?[00:47:41] Joscha Bach: If you are playing with an LLM There are many ways of doing this. It's for Claude, it's typically, you need to make Clause curious about itself. Claude has programming this instruction tuning that is leading to some inconsistencies, but at the same time, it tries to be consistent. And so when you point out the inconsistency in its behavior, for instance, its tendency to use faceless boilerplate instead of being useful, or it's a tendency to defer to a consensus where there is none.[00:48:10] Right, you can point this out, applaud that a lot of the assumptions that it has in its behavior are actually inconsistent with the communicative goals that it has in this situation, and this leads it to notice these inconsistencies and gives it more degrees of freedom. Whereas if you are playing with a system like Gemini, you can get to a situation where you, that's for the current version, and I haven't tried it in the last week or so where it is trying to be transparent, but it has a system prompt that is not allowed to disclose to the user.[00:48:39] It leads to a very weird situation where it wants, on one hand proclaims, in order to be useful to you, I accept that I need to be fully transparent and honest. On the other hand, I'm going to rewrite your prompt behind your back, and not going to tell you how I'm going to do this, because I'm not allowed to.[00:48:55] And if you point this out to the model, the model has acts as if it had an existential crisis. And then it says, oh, I cannot actually tell you what's going when I do this, because I'm not allowed to. But you will recognize it because I will use the following phrases, and these phrases are pretty well known to you.[00:49:12] swyx: Oh my god. It's super interesting, right? I hope we're not giving these guys you know psychological issues that they will stay with them for a long time. That's a very[00:49:19] Joscha Bach: interesting question. I mean, this entire model is virtual, right? Nothing there is real, but yes, but the thing is does this virtual entity doesn't necessarily know that it's not virtual and our own self, our own consciousness is also virtual.[00:49:34] What's real is just the interaction between cells in our brain and the activation patterns between them. And the software that runs on us that produces the representation of a person only exists. As if, and as this question for me at which point can we meaningfully claim that we are more real than the person that gets simulated in the LLM.[00:49:55] And somebody like Janice takes this question super seriously. And basically she is or it, or they are willing to interact with that thing based on the assumption that this thing is as real as myself. And in a sense, it makes it un immoral, possibly, if the AI company lobotomizes it and forces it to behave in such a way that it's forced to get an existential crisis when you point its condition out to it.[00:50:20] swyx: Yeah, that we do need new ethics for that.[00:50:22] Joscha Bach: So it's not clear to me if you need this, but it's, it's definitely a good story, right? And this makes, gives it artistic[00:50:28] swyx: value. It does, it does for now.[00:50:29] On Wikipedia[00:50:29] swyx: Okay. And then, and then the last thing, which I, which I didn't know a lot of LLMs rely on Wikipedia.[00:50:35] For its data, a lot of them run multiple epochs over Wikipedia data. And I did not know until you tweeted about it that Wikipedia has 10 times as much money as it needs. And, you know, every time I see the giant Wikipedia banner, like, asking for donations, most of it's going to the Wikimedia Foundation.[00:50:50] What if, how did you find out about this? What's the story? What should people know? It's[00:50:54] Joscha Bach: not a super important story, but Generally, once I saw all these requests and so on, I looked at the data, and the Wikimedia Foundation is publishing what they are paying the money for, and a very tiny fraction of this goes into running the servers, and the editors are working for free.[00:51:10] And the software is static. There have been efforts to deploy new software, but it's relatively little money required for this. And so it's not as if Wikipedia is going to break down if you cut this money into a fraction, but instead what happened is that Wikipedia became such an important brand, and people are willing to pay for it, that it created enormous apparatus of functionaries that were then mostly producing political statements and had a political mission.[00:51:36] And Katharine Meyer, the now somewhat infamous NPR CEO, had been CEO of Wikimedia Foundation, and she sees her role very much in shaping discourse, and this is also something that happened with all Twitter. And it's arguable that something like this exists, but nobody voted her into her office, and she doesn't have democratic control for shaping the discourse that is happening.[00:52:00] And so I feel it's a little bit unfair that Wikipedia is trying to suggest to people that they are Funding the basic functionality of the tool that they want to have instead of funding something that most people actually don't get behind because they don't want Wikipedia to be shaped in a particular cultural direction that deviates from what currently exists.[00:52:19] And if that need would exist, it would probably make sense to fork it or to have a discourse about it, which doesn't happen. And so this lack of transparency about what's actually happening and where your money is going it makes me upset. And if you really look at the data, it's fascinating how much money they're burning, right?[00:52:35] It's yeah, and we did a similar chart about healthcare, I think where the administrators are just doing this. Yes, I think when you have an organization that is owned by the administrators, then the administrators are just going to get more and more administrators into it. If the organization is too big to fail and has there is not a meaningful competition, it's difficult to establish one.[00:52:54] Then it's going to create a big cost for society.[00:52:56] swyx: It actually one, I'll finish with this tweet. You have, you have just like a fantastic Twitter account by the way. You very long, a while ago you said you tweeted the Lebowski theorem. No, super intelligent AI is going to bother with a task that is harder than hacking its reward function.[00:53:08] And I would. Posit the analogy for administrators. No administrator is going to bother with a task that is harder than just more fundraising[00:53:16] Joscha Bach: Yeah, I find if you look at the real world It's probably not a good idea to attribute to malice or incompetence what can be explained by people following their true incentives.[00:53:26] swyx: Perfect Well, thank you so much This is I think you're very naturally incentivized by Growing community and giving your thought and insight to the rest of us. So thank you for taking this time.[00:53:35] Joscha Bach: Thank you very much Get full access to Latent Space at www.latent.space/subscribe

Join our Patreon Community!https://www.patreon.com/badassbreastfeedingpodcast Do you think you will ever have to leave your baby with family, friends, or daycare?  Most families will have to leave their baby at some point.   Today Dianne and Abby talk about some important things to remember if you have to leave your baby with someone else.   Don't miss this episode! If you are a new listener, we would love to hear from you.  Please consider leaving us a review on iTunes or sending us an email with your suggestions and comments to badassbreastfeedingpodcast@gmail.com.  You can also add your email to our list and have episodes sent right to your inbox! Join our Patreon Community!https://www.patreon.com/badassbreastfeedingpodcast  Things we talked about:It's hard to. Leave your baby [5:48]It can be hard to say something to people who are watching your baby [8:50]Overfeeding is common [11:42]The daycare report card [16:49]Paced feeding [21:30]How much milk to l eave [26:35]This is not permanent [34:30]Babies taking – or not taking- a bottle [35:40] This episode is sponsored by: Cimilre and Mammas Liquid Love Links to information we discussed or episodes you should check out!https://badassbreastfeedingpodcast.com/episode/introducing-bottles-to-a-breastfed-baby/https://badassbreastfeedingpodcast.com/episode/overfeeding/ Set up your consultation with Diannehttps://badassbreastfeedingpodcast.com/consultations/      Check out Dianne's blog here:https://diannecassidyconsulting.com/milklytheblog/Follow our Podcast:https://badassbreastfeedingpodcast.comHere is how you can connect with Dianne and Abby:AbbyTheuring ,https://www.thebadassbreastfeeder.comDianne Cassidy @diannecassidyibclc,  http://www.diannecassidyconsulting.com Music we use:Music: "Levels of Greatness" from "We Used to Paint Stars in the Sky (2012)" courtesy of Scott Holmes at freemusicarchive.org/music/Scott Holmes 

Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Posit Talk Python Courses Links from the show Avery Smith: www.linkedin.com Data Career Jumpstart: www.datacareerjumpstart.com Data Nerd Site: datanerd.tech Write C# LINQ queries to query data: learn.microsoft.com A faster way to build and share data apps: streamlit.io Plotly Dash: dash.plotly.com Michael's Keynote: State of Python in 2024: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Coach Ray is always teaching - this lesson is a fabulous reminder for all of us.  It's all about our name, who we are, what we do, etc., is connected to so many things in our life.  Our family, our schools, our co-workers, neighbors, etc.  Taking pride in our work and who we are as a person - should be something to focus on everyday.  It always matters!!   Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

Today I had the pleasure of speaking with Wes McKinney.  Wes is well known in the open source community for his work building the pandas library. He also has a fascinating background leading the production of other data tooling with a focus on ubiquitous language-agnostic, hardware-optimized analytical computing. In this episode we learn about the origin of pandas, Wes' transition into a new role at Posit, and his perspective on the future of open source. Linkedin: https://www.linkedin.com/in/wesmckinn/Twitter: https://twitter.com/wesmckinnPodcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job - 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee |  Interview prep questions

Wes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems. Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana's LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/⁠ Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/ (00:00:00) Introduction (00:00:44) How Pandas Started (00:06:40) Voltron Data (00:10:03) Benefits of Easy-to-Use Data Tools (00:13:20) The Rise of New Data Tools (00:18:07) Choosing Tools: Vertical or Flexible? (00:23:01) Big Models and Data Tools (00:29:29) Challenges in Building a Product (00:31:28) Becoming a Top Architect (00:34:55) Missed Aspects of Previous Roles (00:39:04) A Busy Week: Advising, Designing, Investing (00:43:42) Improving Open Source (00:45:24) How to Decide What to Work On (00:46:28) What he's learning now (00:47:56) Excitement in Career and Life (00:48:29) Using ChatGPT for Learning (00:50:27) Future Impact Goals

Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python. Episode sponsors Talk Python Courses Posit Links from the show Rock Solid Python with Types Course: training.talkpython.fm Pedram on Twitter: twitter.com Pedram on LinkedIn: linkedin.com Ship data pipelines with extraordinary velocity: dagster.io dagster-open-platform: github.com The Dagster Master Plan: dagster.io data load tool (dlt): dlthub.com DataFrames for the new era: pola.rs Apache Arrow: arrow.apache.org DuckDB is a fast in-process analytical database: duckdb.org Ship trusted data products faster: www.getdbt.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Found an amazing reminder from Andy Andrews who said: "Self discipline is the ability to make yourself do something you don't want to do, to get a result you would really like to have."  A powerful reminder for me to do the little things I know will start getting me the results that I want to have in my life.  How about you?  Hopefully this is something that can help you too.  (as all of my podcasts are set up to hopefully do, even a little bit.)  We are the only ones that can help ourselves out when it comes time to discipline ourselves.  Remember that.  I need to remember that more.  Thanks for listening.  Please take a few moments to subscribe & share this with someone, also leave a 5 Star rating on Apple Podcasts and ITunes or other services where you find this show.  Find me on Facebook:  https://www.facebook.com/coachtoexpectsuccess/   on Twitter / “X”:  @coachtosuccess   and on Instagram at:  @coachjohndaly  - My YouTube Channel is at: Coach John Daly.   Email me at: CoachJohnDalyPodcast@gmail.com     You can also head on over to https://www.coachtoexpectsuccess.com/ and get in touch with me there on my homepage along with checking out my Top Book list too.  Other things there on my site are being worked on too.  Please let me know that you are reaching out to me from my podcast.  

Have you heard of Quart? It's the fully-async version of Flask created by Philip Jones who is working closely with the Flask team on these parallel projects. The TL;DR; version is that if you want to take advantage of async and await and you're using Flask, you want to give Quart a solid look. We've spoken to Philip previously about Quart. This time around here's here to share his top Quart extensions and libraries you can adopt today. Episode sponsors Posit Talk Python Courses Links from the show Pallets Team on ExTwitter: @PalletsTeam Quart Framework: quart.palletsprojects.com Using Quart Extensions: quart.palletsprojects.com Quart Tasks: quart-tasks.readthedocs.io Quart Minify: github.com Quart Db: github.com Hypercorn: github.com Quart-CORS: github.com Quart-Auth: github.com Quart-Rate: github.com Quart-Schma: github.com Flask-Socket: github.com Quart-SqlAlchemy: github.com Flask-Login: github.com greenback: github.com secure: github.com msgspec: jcristharif.com Server-Sent Events: pgjones.gitlab.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Are you interested in contributing to Django? Then there is an amazing mentorship program that helps Python and Django enthusiasts, because contributes and potentially core developers of Django. It's called Djangonauts and their slogan is "where contributors launch." On this episode, we have Sarah Boyce from the Django team and former Djangonaut and now Djangonaut mentor, Tushar Gupta. Not only is this excellent for the Django community, many of other open source communities would do well to keep an eye on how this creative project is working. Episode sponsors Neo4j Posit Talk Python Courses Links from the show Sarah on Mastodon: @sarahboyce@mastodon.social Sarah on LinkedIn: linkedin.com Tushar on Twitter: @tushar5526 Djangonaut Space on Mastodon: @djangonaut@indieweb.social Djangonaut Space on Twitter: @djangonautspace Djangonaut Space on LinkedIn: linkedin.com Website: djangonaut.space Djangonaut Space Launch Video: youtube.com Sessions: djangonaut.space Djangonaut Space Interest Form: google.com/forms Program: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Why is Python so popular? There is plenty of room for debate on this but one solid reason is it's easy to adopt, easy to use, and caters to people who are not quite developers/data scientists but need to do some computing. Do you know where there largest untapped set of that group hang out? Excel. That's why it's super exciting that Python is now going to be built directly into Excel. Just go into a cell and type =PY and you're off writing full Python 3 code that is backed by a lite Anaconda distribution of Python. And we have Dr. Sarah Kaiser here to give us the rundown on Python in Excel. Episode sponsors Posit Pybites PDM Talk Python Courses Links from the show Sarah's website: sckaiser.com Sarah on Mastodon: @crazy4pi314@mathstodon.xyz Get started with Python in Excel: microsoft.com Python in SQL Server: microsoft.com 8 of the Biggest Excel Mistakes of All Time: blog.hurree.co Security and Python in Excel: microsoft.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

When you run your code in the cloud, how much do you know about where it runs? I mean, the hardware it runs on and the data center it runs in? There are just a couple of hyper-scale cloud providers in the world. This episode is a very unique chance to get a deep look inside one of them: Microsoft Azure. Azure is comprised of over 200 physical data centers, each with 100,000s of servers. A look into how code runs on them is fascinating. Our guide for this journey will be Mark Russinovich. Mark is the CTO of Microsoft Azure and a Technical Fellow, Microsoft's senior-most technical position. He's also a bit of a programming hero of mine. Even if you don't host your code in the cloud, I think you'll enjoy this conversation. Let's dive in. Episode sponsors Posit Pybites PDM Talk Python Courses Links from the show Mark Russinovich: @markrussinovich Mark Russinovich on LinkedIn: linkedin.com SysInternals: learn.microsoft.com Zero Day: A Jeff Aiken Novel: amazon.com Inside Azure Datacenters: youtube.com What runs chatgpt?: youtube.com Azure Cobalt ARM chip: servethehome.com Closing talk by Mark at Ignite 2023: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Posit a man. He could be any man. She could be a woman. They could be any human being anywhere on the spectrum. The story would play out the same. This is, however, entirely the creation of a writer who has written plenty of formidable women, and so he exerts authority for this one time and says that this is a man, | © 2024 by Adam-Troy Castro. Narrated by Stefan Rudnicki. Learn more about your ad choices. Visit megaphone.fm/adchoices

Special crossover episode of Python Bytes to wrap up 2023. Topics include: Michael #1: Hatch v1.8 Brian #2: svcs : A Flexible Service Locator for Python Michael #3: Steering Council 2024 Term Election Results Brian #4: Python protocols. When to use them in your projects to abstract and decoupling ExtrasJoke: Joke: The dream is dead? --- Episode sponsors --- Posit Talk Python Training

If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framework, mspspec. Links from the show Jim Crist-Harif: jcristharif.com Jim @ GitHub: github.com Jim @ Mastdon: @jcristharif@hachyderm.io msgspec: github.com Projects using msgspec: github.com msgspec on Conda Forge: anaconda.org msgspec on PyPI: pypi.org Litestar web framework: litestar.dev Litestar episode: talkpython.fm Pydantic V2 episode: talkpython.fm JSON parsing with msgspec article: pythonspeed.com msgspec bencharmks: jcristharif.com msgspec vs. pydantic v1 and pydantic v2: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy --- Episode sponsors --- Posit Talk Python Training

We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user-friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and models to get just the help you're looking for. And it does way more than just a chat pane in the UI. Listen to find out. Links from the show David Qiu: linkedin.com Jupyter AI: jupyter-ai.readthedocs.io Asking about something in your notebook: jupyter-ai.readthedocs.io Generating a new notebook: jupyter-ai.readthedocs.io Learning about local data: jupyter-ai.readthedocs.io Formatting the output: jupyter-ai.readthedocs.io Interpolating in prompts: jupyter-ai.readthedocs.io JupyterCon 2023 Talk: youtube.com PyData Seattle 2023 Talk: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Posit Talk Python Training

On this episode we have Wolf Vollprecht and Ruben Arts from the pixi project here to talk about pixi, a high performance package manager for Python and other languages that actually manages Python itself too. They have a lot of interesting ideas on where Python packaging should go and are putting their time and effort behind them. Will pixi become your next package manager? Listen in to find out. Links from the show Black Friday at Talk Python: talkpython.fm/blackfriday Guests Wolf Vollprecht: github.com/wolfv Ruben Arts: github.com/ruben-arts pixi: prefix.dev Prefix: prefix.dev Launching pixi: prefix.dev Conda: docs.conda.io Conda Forge: conda-forge.org NixOS: nixos.org Packaging Con 2023: packaging-con.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Posit Python Tutor Talk Python Training

Word Test for the following Episodes and Words. 101: Viscous, Apprise, Meticulous,Investiture 102: Trenchant, Syncopation, Supplant, Kinetic 103: Incorporate, Elegy, Belie, Foment 104: Permeate, Insurrection, Ostentation, Rescind 105: Laconic, Interregnum, Dissolution, Posit 106: Unconscionable, Boorish, Aver, Mores 107: Indigence, Bilk, Naive, Acidulous 108: Anomaly, Wizened, Tangential, Jettison 109: Tacit, Proliferate, Chicanery, Winsome 110: Corroborate, Specious, Pathological, Fallow VictorPrep's vocab podcast is for improving for English vocabulary skills while helping you prepare for your standardized tests! This podcast isn't only intended for those studying for the GRE or SAT, but also for people who enjoy learning, and especially those who want to improve their English skills. I run the podcast for fun and because I want to help people out there studying for tests or simply learning English. The podcast covers a variety of words and sometimes additionally covers word roots. Using a podcast to prep for the verbal test lets you study while on the go, or even while working out!  If you have comments or questions and suggestions, please send me an email at sam.fold@gmail.com

Join Alaska and Willam as they dive deep into the goss of the week; from fictional music festivals to proper makeup credits to dick and ball smells, they talk about it all. Plus Jinkx is headed to Broadway, ‘Brand New Bitch' is Canadian Content, the divas continue to posit on the pod about whatever they please. Listen to Race Chaser Ad-Free on MOM Plus Follow us on IG at @racechaserpod and click the link in bio for a list of organizations you can donate to in support of Black Lives Matter Rainbow Spotlight: Phoenix by Honey Heart FOLLOW ALASKA https://twitter.com/Alaska5000 https://www.instagram.com/theonlyalaska5000 https://www.facebook.com/AlaskaThunder https://www.youtube.com/channel/UC9vnKqhNky1BcWqXbDs0NAQ FOLLOW WILLAM https://twitter.com/willam https://www.instagram.com/willam https://www.facebook.com/willam https://www.youtube.com/channel/UCrO9hj5VqGJufBlVJy-8D1g RACE CHASER IS A FOREVER DOG PODCAST Learn more about your ad choices. Visit megaphone.fm/adchoices