Podcasts about SimCity

Building SimCity explores the history of computer simulation by chronicling one of the most influential simulation games ever made: SimCity. As author Chaim Gingold explains, Will Wright, the visionary designer behind the urban planning game, created SimCity in part to learn about cities, appropriating ideas from traditions in which computers are used as tools for modeling and thinking about the world as a complex system. As such, SimCity is a microcosm of the histories and cultures of computer simulation that engages with questions, themes, and representational techniques that reach back to the earliest computer simulations. Gingold uses SimCity to explore a web of interrelated topics in the history of technology, software, and simulation, taking us far and wide—from the dawn of programmable computers to miniature cities made of construction paper and role-play. An unprecedented history of Maxis, the company founded to bring SimCity to market, the book reveals Maxis's complex relations with venture capitalists, Nintendo, and the Santa Fe Institute, which shaped the evolution of Will Wright's career; Maxis's failure to back The Sims to completion; and the company's sale to Electronic Arts. Building SimCity boasts a treasure trove of visual matter to help bring its wide-ranging subjects to life, including painstakingly crafted diagrams that explain SimCity's operation, the Kodachrome photographs taken by Charles Eames of schoolchildren making model cities, and Nintendo's manga-style “Dr. Wright” character design, just to name a few. Rudolf Thomas Inderst (*1978) enjoys video games since 1985. He received a master's degree in political science, American cultural studies as well as contemporary and recent history from Ludwig-Maximilians-University, Munich and holds two PhDs in game studies (LMU & University of Passau). Currently, he's teaching as a professor for game design and game studies at the HNU University of Applied Sciences Neu-Ulm, Germany, has submitted his third dissertation at the University of Vechta, holds the position as lead editor at the online journal TITEL kulturmagazin for the game section, hosts the German local radio show Replay Value and is editor of the weekly game research newsletter Game Studies Watchlist. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Building SimCity explores the history of computer simulation by chronicling one of the most influential simulation games ever made: SimCity. As author Chaim Gingold explains, Will Wright, the visionary designer behind the urban planning game, created SimCity in part to learn about cities, appropriating ideas from traditions in which computers are used as tools for modeling and thinking about the world as a complex system. As such, SimCity is a microcosm of the histories and cultures of computer simulation that engages with questions, themes, and representational techniques that reach back to the earliest computer simulations. Gingold uses SimCity to explore a web of interrelated topics in the history of technology, software, and simulation, taking us far and wide—from the dawn of programmable computers to miniature cities made of construction paper and role-play. An unprecedented history of Maxis, the company founded to bring SimCity to market, the book reveals Maxis's complex relations with venture capitalists, Nintendo, and the Santa Fe Institute, which shaped the evolution of Will Wright's career; Maxis's failure to back The Sims to completion; and the company's sale to Electronic Arts. Building SimCity boasts a treasure trove of visual matter to help bring its wide-ranging subjects to life, including painstakingly crafted diagrams that explain SimCity's operation, the Kodachrome photographs taken by Charles Eames of schoolchildren making model cities, and Nintendo's manga-style “Dr. Wright” character design, just to name a few. Rudolf Thomas Inderst (*1978) enjoys video games since 1985. He received a master's degree in political science, American cultural studies as well as contemporary and recent history from Ludwig-Maximilians-University, Munich and holds two PhDs in game studies (LMU & University of Passau). Currently, he's teaching as a professor for game design and game studies at the HNU University of Applied Sciences Neu-Ulm, Germany, has submitted his third dissertation at the University of Vechta, holds the position as lead editor at the online journal TITEL kulturmagazin for the game section, hosts the German local radio show Replay Value and is editor of the weekly game research newsletter Game Studies Watchlist. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Building SimCity explores the history of computer simulation by chronicling one of the most influential simulation games ever made: SimCity. As author Chaim Gingold explains, Will Wright, the visionary designer behind the urban planning game, created SimCity in part to learn about cities, appropriating ideas from traditions in which computers are used as tools for modeling and thinking about the world as a complex system. As such, SimCity is a microcosm of the histories and cultures of computer simulation that engages with questions, themes, and representational techniques that reach back to the earliest computer simulations. Gingold uses SimCity to explore a web of interrelated topics in the history of technology, software, and simulation, taking us far and wide—from the dawn of programmable computers to miniature cities made of construction paper and role-play. An unprecedented history of Maxis, the company founded to bring SimCity to market, the book reveals Maxis's complex relations with venture capitalists, Nintendo, and the Santa Fe Institute, which shaped the evolution of Will Wright's career; Maxis's failure to back The Sims to completion; and the company's sale to Electronic Arts. Building SimCity boasts a treasure trove of visual matter to help bring its wide-ranging subjects to life, including painstakingly crafted diagrams that explain SimCity's operation, the Kodachrome photographs taken by Charles Eames of schoolchildren making model cities, and Nintendo's manga-style “Dr. Wright” character design, just to name a few. Rudolf Thomas Inderst (*1978) enjoys video games since 1985. He received a master's degree in political science, American cultural studies as well as contemporary and recent history from Ludwig-Maximilians-University, Munich and holds two PhDs in game studies (LMU & University of Passau). Currently, he's teaching as a professor for game design and game studies at the HNU University of Applied Sciences Neu-Ulm, Germany, has submitted his third dissertation at the University of Vechta, holds the position as lead editor at the online journal TITEL kulturmagazin for the game section, hosts the German local radio show Replay Value and is editor of the weekly game research newsletter Game Studies Watchlist. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Sorry für den Delay, life got in the way. Endlich geht es weiter mit der Aufbaumusik, dieses Mal mit dem Soundtrack zu Sim City 2000 von Komponistin Sue Kasper. Das Spiel ist von Maxis Software aus dem Jahr 1993. Wenn ihr euch so richtig die Dröhnung geben wollt, statt einzuschlafen, dann checkt auch die Muttershow aus: brokenchairscores.blogspot.com Enjoy!

There's a good chance you've seen the panic making its rounds on LinkedIn this week: A new MIT study called "Project Iceberg" supposedly proves AI is already capable of replacing 11.7% of the US economy. It sounds like a disaster movie.When I dug into the full 21-page technical paper, I had a reaction because the headlines aren't just misleading; they are dangerous. The narrative is a gross oversimplification based on a simulation of "digital agents," and frankly, treating it as a roadmap for layoffs is a strategic kamikaze mission. This week, I'm declassifying the data behind the panic. I'm using this study as a case study for the most dangerous misunderstanding in corporate America right now: confusing theoretical capability with economic reality.The real danger here is that leaders are looking at this "Iceberg" and rushing to cut the wrong costs, missing the critical nuance, like:​ The "Wage Value" Distortion: Confusing "Task Exposure" (what AI can touch) with actual job displacement.​ The "Sim City" Methodology: Basing real-world decisions on a simulation of 151 million hypothetical agents rather than observed human work.​ The Physical Blind Spot: The massive sector of the economy (manufacturing, logistics, retail) that this study explicitly ignored.​ The "Intern" Trap: Assuming that because an AI can do a task, it replaces the expert, when in reality it performs at an apprentice level requiring supervision.If you're a leader thinking about freezing entry-level hiring to save money on "drudgery," you don't have an efficiency strategy; you have a "Talent Debt" crisis. I break down exactly why the "Iceberg" is actually an opportunity to rebuild your talent pipeline, not destroy it. We cover key shifts like:​ The "Not So Fast" Reality Check: How to drill down into data headlines so you don't make structural changes based on hype.​ The Apprenticeship Pivot: Stop hiring juniors to do the execution and start hiring them to orchestrate and audit the AI's work.​ Avoiding "Vibe Management": Why cutting the head off your talent pipeline today guarantees you won't have capable Senior VPs in 2030.By the end, I hope you'll see Project Iceberg for what it is: a map of potential energy, not a demolition order for your workforce.⸻If this conversation helps you think more clearly about the future we're building, make sure to like, share, and subscribe. You can also support the show by buying me a coffee.And if your organization is wrestling with how to lead responsibly in the AI era, balancing performance, technology, and people, that's the work I do every day through my consulting and coaching. Learn more at https://christopherlind.co.⸻Chapters:00:00 – The "Project Iceberg" Panic: 12% of the Economy Gone?03:00 – Declassifying the Data: Sim City & 151 Million Agents07:45 – The 11.7% Myth: Wage Exposure vs. Job Displacement12:15 – The "Intern" Assumption & The Physical Blind Spot16:45 – The "Talent Debt" Crisis: Why Firing Juniors is Fatal22:30 – The Strategic Fix: From Execution to Orchestration27:15 – Closing Reflection: Don't Let a Simulation Dictate Strategy#ProjectIceberg #AI #FutureOfWork #Leadership #TalentStrategy #WorkforcePlanning #MITResearch

You don't need a massive organization to make a massive difference. In this episode of Do Local Good, hosts Sean Singh and Brett Eigner sit down with Katelyn Petersen (former Chief Experience Officer) and Krista Davis (Director of People Operations) from RunWithIt Synthetics (RWI).RWI is an Edmonton-based tech company that creates accurate, geospatial digital twins of cities—think SimCity, but for real-life decision-making. Instead of traditional volunteering, RWI partnered with United Way to apply their unique skills to the All In for Youth program.By hosting an internal "hackathon," the RWI team used synthetic modeling to visualize the long-term, generational benefits of increasing high school graduation rates in Edmonton. This episode explores how skills-based volunteering can revolutionize corporate social responsibility (CSR), boost employee engagement through initiatives like "Give Back Bingo," and prove that small businesses can be powerful drivers of community resilience.In this episode, we cover:How RunWithIt Synthetics uses digital modeling to predict future outcomes.The story behind their "All In for Youth" data hackathon.How to build a culture of giving in a small, remote-friendly team.Advice for small businesses looking to start their own CSR campaigns.

Like many of us, the urban planning strategy game "SimCity" was an obsession for Diana Regen growing up. When she published YouTube videos about a modern incarnation -- "Cities: Skylines" and its sequel -- she grew a loyal audience around the games. But she was more interested in using these sims for social commentary about urban design, capitalism, politics, and absurdist online culture. One problem: Her audience HATED it. That is until one of her TikToks about corporate cities went viral and inspired her to return to YouTube to expand the work into robust video essays. These days, Diana works full time as a video creator, covering a wide range of topics and painting with all sorts of surrealist brushes: video games, travel videos, memes, archival footage, and AI-generated voices of historical figures saying the darndest things. Diana sits down with Matt to discuss her singular creative style and how she overcame the limitations of social video platforms that only reward you for doing the same things over and over. Subscribe to Cities By Diana: https://www.youtube.com/@CitiesByDiana https://www.instagram.com/citiesbydiana/ https://www.tiktok.com/@citiesbydiana Learn more about your ad choices. Visit megaphone.fm/adchoices

Re-Air Date: 11–18-25 Unless you were a member in December of 2024, this episode of SOLVED! will be brand new to you! If you were a member back then, THANK YOU and this one is worth a re-listen. We're slowing down production for a little bit to reorganize our production processes, so enjoy this episode from our archives (and B.Y: before YouTube) where Jay!, Amanda, Deon, and Erin discuss:   Ch. 1 - The political origins of SimCity and how capitalism warps our choices Ch. 2 - A new video game offering a very different vision of societal management Ch. 3 - Naomi Klein's insights on the Left's missteps responding to the Mirror World Ch. 4 - Applying cynicism and skepticism in moderation   FOLLOW US ON: YouTube (This full episode premieres on YouTube on Friday - please share!) Bluesky Instagram Facebook Mastadon Nostr public key: npub1tjxxp0x5mcgl2svwhm39qf002st2zdrkz6yxmaxr6r2fh0pv49qq2pem0e   REFERENCES: SimCity Isn't a Model of Reality. It's a Libertarian Toy Land - Wired Build-a-Brrr - The Baffler Naomi Klein on her doppelganger (and yours) - Vox Be Like Claud Cockburn: Tell Truths to the Masses - Counter Punch   TAKE ACTION: No Kings Next Steps Free DC Project: FOR ALLIES ACROSS THE COUNTRY - Tell Congress to stand down the federal escalation One Million Rising Trainings In a blue state? Help stop ICE overreach Use the 5 Calls app for scripts and to reach all your elected officials Capitol Switchboard: 202-224-3121 Find your Indivisible group - or start one Write to the DNC   Join our Discord Server Reach us via Signal: Bestoftheleft.01 Leave a message at 202-999-3991   Produced by: Jay! Tomlinson Thanks for listening! Visit us at BestOfTheLeft.com Contact me directly at Jay@BestOfTheLeft.com Review the show on Apple Podcasts!

Every kid needs some sort of autonomy, just maybe not over a whole dang city! Today comedian Jack Brown stops by to discuss his moment getting absolutely locked into SimCity 4 (2003). Show Notes Jack Brown - JackBrown.biz Conner McCabe – Bluesky Produced, Edited, and Original music by Jeremy Schmidt – Video Games: a Comedy Show Call Me By Your Game – Instagram - Bluesky – YouTube - TikTok Super NPC Radio – Patreon - Discord-  Bluesky – Instagram – Twitch

A new week means new questions! Hope you have fun with these!Mn is the chemical symbol for which element?Nancy Cartwright, the voice of Bart Simpson, is the Aunt of what pop star who just released her seventh studio album, "Man's Best Friend"?Switching from overhead to an isometric view, which 1993 game was released as a sequel to the original SimCity?Aleppo is the largest city in which country?What rags to riches story by David Szalay just won the 2025 Booker Prize?Enjoy a Freshmaker while visiting this 555 foot tall shining white obelisk in the middle of the National Mall of Washington DC.In the TV show "Friends", what is the name of Central Perk's main barista, played by actor James Michael Tyler?With over 400 active volcanoes, what is the most geologically active object in the Solar System?Miroslav Klose, Ronaldo, Gerd Müller and Just Fontaine are the top four scorers in what event?According to an over the counter product's ads from the 1970s, "How do you spell relief"?With over 800 species, what type of crab lives in a cast-off mollusc shell?"Into the Woods", "A Funny Thing Happened on the Way to the Forum" and "Sweeney Todd: The Demon Barber of Fleet Street" are all musicals with music and lyrics by which composer?What Renowned painter of classical and mythological scenes — works like Flaming June and The Return of Persephone, was the first painter to be given a peerage title and only held it for one day before his death, the shortest in history?Which branch of mathematics is latin for "small pebble"?What Spanish sauce containing roasted peppers, almonds, garlic, & tomatoes sounds very similar to a member of the broccoli family?In 1779, where did Captain James Cook die?MusicHot Swing, Fast Talkin, Bass Walker, Dances and Dames, Ambush by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/Don't forget to follow us on social media:Patreon – patreon.com/quizbang – Please consider supporting us on Patreon. Check out our fun extras for patrons and help us keep this podcast going. We appreciate any level of support!Website – quizbangpod.com Check out our website, it will have all the links for social media that you need and while you're there, why not go to the contact us page and submit a question!Facebook – @quizbangpodcast – we post episode links and silly lego pictures to go with our trivia questions. Enjoy the silly picture and give your best guess, we will respond to your answer the next day to give everyone a chance to guess.Instagram – Quiz Quiz Bang Bang (quizquizbangbang), we post silly lego pictures to go with our trivia questions. Enjoy the silly picture and give your best guess, we will respond to your answer the next day to give everyone a chance to guess.Twitter – @quizbangpod We want to start a fun community for our fellow trivia lovers. If you hear/think of a fun or challenging trivia question, post it to our twitter feed and we will repost it so everyone can take a stab it. Come for the trivia – stay for the trivia.Ko-Fi – ko-fi.com/quizbangpod – Keep that sweet caffeine running through our body with a Ko-Fi, power us through a late night of fact checking and editing!

Nichole Sterling built the AI product she wished she had as an elected official. Will investors see the $2.2 trillion opportunity she sees? Or will this pitch get stuck in committee. This is The Pitch for My Town AI. Featuring investors Charles Hudson, Elizabeth Yin, Jesse Middleton, and Dawn Dobras. ... Watch Nichole's pitch uncut on Patreon (@ThePitch) Subscribe to our email newsletter: insider.pitch.show Learn more about The Pitch Fund: thepitch.fundRSVP for one of our LP meetups: pitch.show/events *Disclaimer: No offer to invest in My Town AI is being made to or solicited from the listening audience on today's show. The information provided on this show is not intended to be investment advice and should not be relied upon as such. The investors on today's episode are providing their opinions based on their own assessment of the business presented. Those opinions should not be considered professional investment advice. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sam Morril returns to TigerBelly, and Bobby brings the beef. We chat café trauma, wenches, celebrity beefs, kind people, Asian gangs, White community, Karl Lamone, roof Koreans, and overspending on Sim City. LAST CHANCE FOR MERCH Stop putting off those doctors appointments and go to www.zocdoc.com/belly to find and instantly book a top-rated doctor today. Nothing makes you more of a legend than a little Bluechew. Discover your options at www.bluechew.com! And we’ve got a special deal for our listeners: As always, get your first month of BlueChew FREE Just use promo code BELLY at checkout and pay five bucks for shipping Use code TIGERBELLY at www.monarchmoney.com in your browser for half off your first year. That’s 50% off your first year at www.monarchmoney.com with code TIGERBELLY.

Dismayed by the destruction and death in Gaza? Fear not, the wizards at Boston Consulting Group have a plan – a 38-slide deck that will Make Gaza GREAT Again. It's a molten nugget of consultant-speak, SimCity planning moves, weirdly proportioned AI slop renderings, and tokenized real estate transactions that place a thin veil of “solutioneering” over what looks an awful lot like ethnic cleansing. Don't worry – it will all be covered by private investment and all kinds of familiar corporations in the tech, design, construction and security businesses are invited, whether they know it or not. Our hot take on this hottest of messes. Discussed: Washington Post article Wall Street Journal article Financial Times article GREAT Trust deck Pre-GREAT Trust Hebrew version of the deck Gaza Riviera TikTok video Scarlett Johansson on SNL: Complicit Boston Consulting Group Gaza Humanitarian Foundation Tony Blair Institute Ebenezer Howard Baron von Haussmann SimCity Paul Romer's Charter Cities Shout back to Episode 92, The Hidden Globe AECOM Studio Boeri Architetti IMEC = India-Middle East Corridor UN rapporteur communique on Gaza report: Economy of Occupation to an Economy of Genocide

This week was a mess! We're saying RIP to icons Rolling Ray and Giorgio Armani, talking about how America officially has more people without jobs than jobs to give, and Trump wanting to send the National Guard to Chicago and Baltimore like it's SimCity. Epstein survivors are making their own client list since the courts are playing games, while a Texas dad sold his company for $51M just to build a free amusement park (bless him). New York schools are serving free breakfast and lunch, Gunna is running 5Ks for a cause, and the Caribbean Day Parade brought some culture and a little ethnocentrism drama. Add in an NBA player trying to make Charlamagne his “play friend,” August Alsina catching heat for being in love, Anna Wintour passing the Vogue torch, Cardi B winning in court, and me almost running over a gopher! IG: @itswista Podcast IG: @wordswithwista Substack: @wordswithwista

Liking games like Sim City and missing such vibes while liking the pre-historic dinosaurs as a setting? Then Repterra might be the upcoming RTS game for you! We have a chat with its creator Carl Chute and talk about the process of making the game - and indie game dev in general - enjoy! :) The interview starts at minute 6:50 into the podcast.

Membership | Donations | Spotify | YouTube | Apple PodcastsWe live in simulated worlds of our own making, detecting patterns in the chaos and complexity of raw experience and boiling them down into operable categories and generalizations. Sometimes we do this well, and sometimes…This week's guest, computer scientist and game designer Chaim Gingold, wrote what I consider the best book available on the history and sociality of simulations: Building Sim City: How to Put the World in a Machine (MIT Press) takes readers from the prehistory of modern computing through the post-war development of cybernetics and systems thinking and into the entangled relationship of video games, military info-tech, civil engineering, software-based education, and complexity science that forms today's “invisible environment.” Sim City is more than a legendary video game. It is case study in how the digital revolution reshaped the ways we think, teach, design, and govern…and how what simulation as a mode of discourse can hide and reveal, oppress and empower us. In this dialogue we explore the the tensions between games and play, the analog and digital, abstraction and tactility, and mysticism and colonialism in simulation-induced experiences. We investigate the rise and fall of Sim City game developer MAXIS, weave threads through the history of computing and software development, systems science, and the philosophy of technology, and ask:What makes some abstractions better than others?If you enjoy this conversation, join the Wisdom x Technology Discord server and consider becoming a member for access to the complete archives, study groups, and community calls.Founding members also get access to the entire twenty hours of lecture and discussion from my recent course, How to Live in the Future at Weirdosphere.Show Links• Explore the interactive knowledge garden grown from over 250 episodes• Dig into nine years of mind-expanding podcasts• Explore the Humans On The Loop archives• Browse the books we discuss on the show at Bookshop.org• Hire me for speaking or consultingMentionsWill WrightJohn Conway's Game of LifeVannevar BushAlan Kay & Xerox PARCEd Catmull - Creativity, Inc.James Clerk MaxwellEthan MollickGottfried LiebnizLarry OwensJay ForresterLauren F. KleinEdgar MitchellRusty SchweickertJulian of NorwichChris LangtonKen ForbisMark ZuckerbergElon MuskSam AltmanSam Arbesman - The Magic of CodeTimothy MortonDonna HarawayNick BostromJoshua DiCaglio - Scale TheoryStanislaw Lem - The CyberiadKevin Kelly - Out of ControlStewart Brand & The Whole Earth CatalogFred Turner - From Counterculture to CybercultureDe Kai - Raising AIAnd in case you missed it: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

In an episode recorded before the US presidential elections (somehow) Matt and Hailey end season 4 with a discussion of agent based models, following on from our previous conversation with Dr. Brandon Marshall on the topic. This was perhaps the hardest solo conversations we've had as neither of us have much experience with them, but we are both really fascinated by them. We discuss their role in epi curriculum and whether all epi students should learn them. We discuss what they are and how they are useful in epidemiology as simulations and whether they are like SimCity. We also discuss their relationship with counterfactuals and counterfactual theory. We talk about how we see them as relating to DAGs and feedback loops. And we talk about the no interference assumption as it related to both causal inference and agent based models

In this episode, we delve into the captivating realms of tycoon games, world-building games, and stage builders, exploring the multifaceted mechanics that allow players to construct, manipulate, and ultimately experience their creations. Our discourse encompasses renowned titles such as RollerCoaster Tycoon, SimCity, Planet Zoo, and Jurassic World Evolution, each exemplifying unique elements of design and player engagement. We reflect on the intrinsic appeal of crafting intricate systems and the allure of chaos that these games often embody, allowing players to explore both creative expression and the consequences of their choices. Throughout our conversation, we examine how such interactive experiences not only entertain but also provoke thought regarding ethics, responsibility, and the nature of creation itself. Join us as we navigate these digital landscapes and uncover the profound insights they offer into our understanding of agency, order, and chaos.This podcast episode presents an in-depth examination of world-building games, focusing on the creative and functional aspects that define the genre. The hosts, Laura Wittman and Joshua Noel, engage in a spirited discussion about the allure of constructing virtual environments, from theme parks to cities, while questioning the underlying motivations that drive players to create. Is the goal to achieve beauty, functionality, or merely to indulge in the chaos of destruction? This inquiry serves as a springboard for a broader exploration of how these games reflect our desires and the complexities of societal design.The conversation is enriched by personal anecdotes, as the hosts reminisce about their early experiences with iconic games such as RollerCoaster Tycoon and SimCity. They recount the thrill of crafting intricate virtual worlds and the inevitable chaos that ensued when they unleashed disasters upon their carefully constructed cities. These stories not only highlight the nostalgia tied to these gaming experiences but also underscore the dual nature of creation and destruction inherent in world-building games. The hosts express a shared appreciation for the freedom these games offer, allowing players to experiment with their creations and observe the consequences of their choices in a risk-free environment.As the episode progresses, the hosts delve into the philosophical dimensions of chaos and control within gaming. They argue that the appeal of chaos is twofold: it provides a means of escape from the constraints of daily life and offers a platform for exploring deeper ethical questions related to creation and responsibility. The hosts suggest that gaming can be a profound medium for understanding the complexities of existence, urging listeners to contemplate their roles as creators in both virtual and real-world contexts. Ultimately, the episode advocates for embracing the chaos inherent in creation, inviting players to reflect on the impact of their decisions in the expansive realm of gaming.Takeaways: In this episode, we explore the intricacies of tycoon games, emphasizing their role in fostering creativity and world-building capabilities. We delve into the evolution of world-building games, from classic titles like SimCity to modern iterations such as Planet Zoo, highlighting their educational aspects. The discussion encompasses the ethical dilemmas presented in games, particularly regarding the treatment of virtual animals and the moral implications of gameplay choices. We reflect on the psychological appeal of chaos within games, positing that they allow players to experiment with scenarios that are impossible in real life. The conversation also touches upon the nostalgic value of games like Roller Coaster Tycoon, which enable players to recreate beloved experiences and explore their imaginative potential. Finally, we consider the impact of gaming on our...

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

Wow, it's tough not to write SIM City. Anyway! This week we're talking about the adaptation of SIN CITY, a movie that was truly: of a time! We chat about great cameos, people who aren't getting the assignment, and at least one performance that just isn't working.   Produced by Andrew Ivimey as part of The From Superheroes Network   Visit www.FromSuperheroes.com for more podcasts, articles, video series, web comics, and more.

Episode #382 of BGMania: A Video Game Music Podcast. Today on the show, Bryan closes out the month of July 2025 with another eclectic mix in Radio Hour, Volume 77! From the retro-chic to the otherworldly, the introspective to the high-octane, this episode features music from newly released indie gems, ambitious blockbusters, and some deeply nostalgic favorites. Tune in for 14 tracks, including recent submissions and requests from our amazing listeners across Discord, Instagram, and more. Whether you're here for bold guitar solos, synth-drenched atmosphere, or soul-stirring piano, this episode has something for every audiophile and game music lover alike. Settle in, throw on your headphones, and let the music take you on a journey. Email the show at bgmaniapodcast@gmail.com with requests for upcoming episodes, questions, feedback, comments, concerns, or any other thoughts you'd like to share! Special thanks to our Executive Producers: Jexak, Xancu, Jeff & Mike. EPISODE PLAYLIST AND CREDITS The Rail Forest from Sea of Stars: Throes of the Watchmaker [Eric W. Brown, 2025] Theme Song from Mars After Midnight [Lucas Pope, 2024] Moonlit Night Phantom from Shoujo Yoshitsuneden [Aki Hata, 2003] Autumn Days from SunnySide [JellyFox, 2024] Heartbeat Skipper from Paper Mario: The Origami King [Yoshito Sekigawa, Shoh Murakami, Yoshiaki Kimura, Hiroki Morishita & Fumihiro Isobe, 2020] Cliffs Of Dover from Guitar Hero III: Legends of Rock [Eric Johnson, 1990/2007] Rush Hour from SimCity 4 [Jerry Martin, 2003] Stardust & Danger from Wheel World [Johnny Jewel feat. Orion, 2025] Go from Wheel World [Johnny Jewel feat. JOON, 2025] Into The Maze from Wheel World [Johnny Jewel, 2025] A New Journey from Rune Factory: Guardians of Azuma [Noriyuki Asakura, 2025] Formidable Opponent from Shadow Labyrinth [Katsuro Tajima, 2025] Title Screen from Wuchang: Fallen Feathers [Anti-General, 2025] Reborn from REVEIL [Arina Tara, 2024] LINKS Patreon: https://patreon.com/bgmania Website: https://bgmania.podbean.com/ Discord: https://discord.gg/cC73Heu Facebook: BGManiaPodcast X: BGManiaPodcast Instagram: BGManiaPodcast TikTok: BGManiaPodcast YouTube: BGManiaPodcast Twitch: BGManiaPodcast PODCAST NETWORK Very Good Music: A VGM Podcast Listening Religiously

Fredrik och Poki ger forna år en match, när de ska samsas om dåtidens bästa spel. Detta ÄR "Retro GOTY!".Dags för retrospel - eller vad nu 2000-talets spel är?! Upplägget är som vanligt; Vi lyfter först våra personliga topp tio spel för året i fråga - denna gång spelåret 2003! Därefter gör vi den titulära RETRO GOTY:n.Vilka är spelen som hamnar i vår gemensamma "Game of the Year" á 2003? Lyssna och lär kära lyssnare!Exempel på spel som tas upp:Ikaruga,Prince of Persia: The Sands of Time,Colin McRae Rally 3,SimCity 4,Zone of the Enders: The 2nd Runner,Halo: Combat Evolved,Grand Theft Auto: Vice City ,Star Wars Jedi Knight: Jedi Academy,Max Payne 2: The Fall of Max Payne,Freelancer,The Legend of Zelda: The Wind Waker,Resident Evil Zero,Need for Speed: Underground,Star Wars: Knights of the Old Republic,Command & Conquer: Generals,Lionheart: Legacy of the Crusader,BloodRayne,Silent Hill 3,I.G.I.-2: Covert Strike,Lost Kingdoms II ,Mario Kart: Double Dash,Metroid Prime,Castlevania: Aria of Sorrow,Devil May Cry 2,Primal,Skies of Arcadia,Dessa och många många fler (obs! Vi spoilar inte de som ligger i våra personliga topplistor ovan!

What is code, and can it be thought of like a magic spell? Are we building a world so complex that we will lose the ability to understand its operations -- and has that already happened? What does any of this have to do with SimCity, or knowledge that already exists but no one has put together, or how coding will evolve in the near future? Join Eagleman with scientist Sam Arbesman, who has just written a book asking the question: what is code, really?

In this episode of The Industrial Real Estate Show, Jeff Deehan of Dymaxion Development shares how his passion for city-building (first sparked by playing SimCity as a kid) evolved into a career in real-world development. Based in Lansing, Michigan, Deehan's firm takes a hyper-local, mixed-asset approach, developing multifamily, industrial, and even community-scale projects within a 100-mile radius. Rather than chasing population or job growth trends, he starts with a property or area that's underutilized and reimagines how it can be integrated into the broader economic and social fabric of the region. His firm simultaneously tackles construction, development, and asset management, giving them long-term flexibility and the ability to solve problems in real time.Deehan discusses the difference between multifamily and industrial development, noting that industrial is typically easier to construct and manage but often faces more public resistance when outside traditional industrial zones. Conversely, multifamily projects generally face less pushback but come with different financing and entitlement dynamics. He also stresses the value of relationship-building in his market, spending hours each day speaking with brokers and local businesses to understand their needs and uncover opportunities. When it comes to capital deployment, Dymaxion maintains a 50/50 balance between acquisitions and development, focusing on long-term value creation rather than speculative growth. For those looking to get into development, Deehan offers frank advice: start small, avoid overleveraging, and ensure you're creating value you can live with—because development is rewarding, but definitely not for the faint of heart.Connect with Jeff:Website: https://www.dymaxionde...X: https://x.com/Jeffdeehan--

Folge 249 der "kleinen" Zeitreise in die Welt vergangener Homecomputer, Spielekonsolen und Games von Patrick und Robin ist online. Dieses Mal geht es um das Spiel Sim City, die Pretty old Pixel haben sich diesen Klassiker zusammen mit Patrick angeschaut.

On the 277th episode of Big Orange Couch: The 90s Nickelodeon Podcast, Andrew, Joey, and Katey discuss all things 2014. Topics include: books, video games, TV shows, songs, albums, movies, and interesting events. Plus, Cleveland's nickname, Tom Cruise's front teeth, the laws of Sim City, seeing Polaris live and so much more!

Ep 259Orion browserTIDAL više nije deo SBB ponudeApple to appeal €500M digital fine over EU's silence in compliance talksThis Does Not Compute — How my ultimate SimCity 2000 setup helped get Apple sued Apple Announces New iOS 19 and macOS 16 Accessibility Features Ahead of WWDCtvOS 18.5 Adds Synchronized Dolby Atmos Playback for AirPlay and Bluetooth SpeakersApple: CarPlay Ultra, the next generation of CarPlay, begins rolling out todayTop Gear: New Apple CarPlay Ultra: Apple Just Took Over Your Car!ZahvalniceSnimano 16.5.2025.Uvodna muzika by Vladimir Tošić, stari sajt je ovde.Logotip by Aleksandra Ilić.Artwork epizode by Saša Montiljo, njegov kutak na Devianartu

Chaim Gingold is a game designer and author of the book Building SimCity: How to Put the World in a Machine, which explores the simulation games created by developer Will Wright. Gingold sits down with Oz to discuss why a computer game about city planning became such a big hit in the ‘90s, the surprising legacy of SimCity, and the deeper cultural and technological significance of simulation games.See omnystudio.com/listener for privacy information.

Al and Kelly talk about Ratopia Timings 00:00:00: Theme Tune 00:00:30: Intro 00:02:24: What Have We Been Up To 00:17:46: Game News 00:25:17: News Games 00:36:08: Ratopia 01:02:56: Outro Links Tales of Seikyu Early Access Sugardew Island Sprinklers Update Outlanders “The Culinry Diaries” DLC Turnip Boy Steals The Mall Cubified Turnip Boy Plush Everdream Valley VR Contact Al on Mastodon: https://mastodon.scot/@TheScotBot Email Us: https://harvestseason.club/contact/ Transcript (0:00:31) Al: Hello, farmers, and welcome to another episode of the harvest season. (0:00:34) Al: My name is Al. (0:00:36) Kelly: And my name is Kelly. (0:00:38) Al: And we are here today to talk about Cottage Core Games. (0:00:42) Al: Woo! (0:00:42) Kelly: Woo! (0:00:45) Al: Uh, welcome back, Kelly. (0:00:47) Al: Always good to have you. (0:00:48) Kelly: It’s always fun to be back. (0:00:50) Kelly: I feel like we talked so recently and yet so long ago. (0:00:55) Kelly: It really wasn’t that long ago. (0:00:56) Al: Let’s have a look. (0:00:57) Al: Your last episode was “Grimoire Groves”, and that was in March. (0:01:01) Kelly: Yeah, yeah, yeah. (0:01:02) Al: For two months. (0:01:04) Al: Hmm, I have not played that game since that episode. (0:01:07) Kelly: I completed everything. (0:01:09) Al: Hmm. (0:01:10) Kelly: Everything, everything. (0:01:12) Al: Impressive. (0:01:12) Kelly: And then I put the game down and never picked it back up again. (0:01:14) Al: Hmm, fair. (0:01:16) Al: That’s how I play most games, to be fair. (0:01:16) Kelly: It was fun. (0:01:19) Kelly: Me too. (0:01:19) Kelly: But usually I don’t go full completionist mode. (0:01:23) Al: Yeah, yeah. (0:01:24) Kelly: I pick things that I want to complete (0:01:26) Kelly: or give myself goals. (0:01:27) Kelly: Otherwise, I kind of lose motivation sometimes. (0:01:30) Al: Fair enough (0:01:32) Al: And then you were on the fields of then you were on the fields of mystery out before that. Have you played the update? (0:01:32) Kelly: But I was determined. (0:01:37) Kelly: No. (0:01:38) Kelly: I really enjoyed the portion that I played, (0:01:42) Kelly: but I decided that was enough and I’m just (0:01:44) Kelly: going to wait for the full game. (0:01:46) Al: I have done the same also. I was really tempted to jump in in the last update, but I’m like, (0:01:52) Kelly: Mm-hmm yep, that’s why I am I ended up picking up Sunhaven instead (0:01:52) Al: “No, let’s not do it. Let’s not do it. Don’t ruin it for yourself. Wait for the full game.” (0:02:00) Al: Yes. Well, let’s get into that then. So, just before we get into that, (0:02:02) Kelly: So I was like, you know what that’s a completed game (0:02:08) Al: we’re going to talk about Ratopia, this episode. Ratopia, this episode, because it has just come (0:02:14) Al: out in 1.0. (0:02:16) Al: Kelly has previously played it, so I thought we would talk about that. (0:02:21) Al: Before that, obviously, we’ll have our regular news. (0:02:25) Al: But first of all, Kelly, what have you been up to? (0:02:28) Kelly: “Playing Sunhaven.” (0:02:29) Al: I have questions. (0:02:30) Kelly: Woo! (0:02:31) Kelly: I also got 15 yards of dirt delivered to my driveway (0:02:34) Kelly: so I could fix my backyard. (0:02:36) Kelly: So that’s– (0:02:39) Al: Why is it measured in distance? (0:02:44) Kelly: I don’t have that answer. (0:02:46) Al: So, presumably, it’s like a set thickness, right? (0:02:47) Kelly: Do you know how I had to figure out what 15 yards of dirt was, (0:02:50) Kelly: Al? (0:02:50) Kelly: I had to go on YouTube and watch a video of a dump truck (0:02:53) Kelly: delivering 15 yards of dirt to someone’s driveway. (0:02:59) Kelly: I guess? (0:03:01) Kelly: Because they also do like– (0:03:01) Al: You’re the one that’s had it delivered! (0:03:03) Kelly: yeah, Al, this was through Facebook Market. (0:03:06) Kelly: This is just, I don’t know, the standard measurement (0:03:08) Kelly: that they use, though, because it’s cubic yards and cubic feet (0:03:11) Kelly: are used for soil. (0:03:12) Al: Oh, so it’s cubic yards, not yards. (0:03:17) Kelly: I don’t know, because they only said yards. (0:03:19) Al: Because that’s a bit– because cubic yards is a vol– (0:03:23) Al: Yeah, so it sounds like they’re just automatically (0:03:24) Kelly: It’s probably cubic yards, and I just never considered it. (0:03:25) Al: shortening it then, because cubic yards is a volume. (0:03:28) Al: That’s how you measure something like soil. (0:03:28) Kelly: Yes. (0:03:29) Kelly: Yes, that’s how I do my soil. (0:03:31) Kelly: I do soil calculations in cubic yards. (0:03:34) Kelly: I just didn’t put two and two together because it just (0:03:37) Kelly: straight up said yards. (0:03:38) Al: Yeah, that’s just laziness, I think, on behalf of people selling. (0:03:42) Kelly: Yeah. (0:03:43) Kelly: But no, I literally watched YouTube videos on dirt delivery (0:03:46) Kelly: to figure out how much dirt this would be. (0:03:48) Al: Although, I also have a question about that, because this is a thing that Americans do (0:03:55) Al: a lot, is you measure things by volume, when that can be very inaccurate for certain things. (0:03:58) Kelly: Yes. Yeah. Yes. (0:04:02) Al: It’s all very well and good measuring liquids by volume, because they stay the same. You’re (0:04:08) Kelly: Yeah. (0:04:08) Al: not going to add extra air in between grains of water. Yeah. Yeah. (0:04:10) Kelly: No, listen, I do a lot of baking. (0:04:14) Kelly: All of my baking is done by weight. (0:04:18) Kelly: I convert recipes all the time. (0:04:18) Al: Yeah. (0:04:22) Kelly: I’m pretty sure that they do it this way so that they can, like… (0:04:24) Kelly: Okay, this is free dirt, so it’s like… (0:04:26) Al: Okay, yeah. (0:04:28) Kelly: trash as it is. (0:04:30) Kelly: But it’s like, clearly they want to do it by volume and not weight (0:04:32) Kelly: so that they can give me things like a two foot long concrete rock (0:04:36) Al: Yeah, yeah, yeah, for sure, for sure. (0:04:36) Kelly: inside of my dirt pile. (0:04:40) Kelly: You know, like, that’s… (0:04:42) Kelly: I don’t know about the other things, (0:04:44) Kelly: because I’m assuming when people buy nice soil, (0:04:46) Kelly: they’re not getting giant rocks in their nice soil. (0:04:49) Al: Yeah, I. (0:04:50) Kelly: But I think… I think it’s… it’s a… (0:04:54) Kelly: I think that’s part of it. I don’t know. (0:04:56) Al: You weren’t buying high quality topside, well, that’s for sure. (0:04:58) Kelly: You know, it’s free dirt. (0:05:00) Al: But yeah, the baking one is funny, right? (0:05:02) Al: Because I understand the want to do it in volume, right? (0:05:05) Al: Like there’s a lot of cooking that I do (0:05:07) Al: where I do it by volume because it’s quicker, right? (0:05:08) Kelly: Yes, yeah. (0:05:09) Al: Like I quite often I quite often will make like (0:05:13) Al: I do like oat breakfast cookies quite often and I’ll just I’ll just use one (0:05:19) Al: of my measuring spoons and I’ll just like throw half a cup into a bowl, right? (0:05:24) Kelly: - Yeah. (0:05:24) Al: Because it’s quick and it’s dirty and it (0:05:26) Al: doesn’t really matter because if it’s slightly off, it’s fine. (0:05:27) Kelly: You’re getting cookies no matter what. (0:05:29) Al: Exactly, right? (0:05:30) Kelly: - Yeah, exactly. (0:05:31) Al: It does the job. (0:05:31) Al: But like when you’re if I’m if I’m baking a cake, like, you know, I’m I’m weighing (0:05:36) Al: out that flour, right, I cannot but you’ll see recipes online all the time. (0:05:36) Kelly: - Yep, yeah, oh yeah. (0:05:40) Al: And it’s like a cup of flour. (0:05:42) Al: And I’m like, first of all, first of all, there is no single standard cup. (0:05:46) Al: Did you know our cups are different than your cups? (0:05:48) Kelly: Yes. That’s what pisses me off. That’s what pisses me off when like a lot of good baking (0:05:49) Al: Fun, isn’t that super fun to learn about after I’ve spent following American (0:05:54) Al: recipes for years? (0:05:59) Kelly: recipes will include both the the grams or whatever ounces and then also yeah the ones (0:06:02) Al: Yes. You click the little button and it will change them. Yes, it’s nice. I like that. (0:06:09) Kelly: that don’t are so questionable because it’s like well did you pack the flour when you put in the (0:06:14) Al: Yeah, exactly. (0:06:15) Kelly: the cup but do you (0:06:18) Kelly: do our cups match yeah it’s very frustrating it’s very I do a lot of (0:06:20) Al: How irritated is your flower? (0:06:26) Kelly: math when I do baking so it’s very interesting I guess (0:06:28) Al: And this is why I don’t do much baking, because I like cooking where I can just throw things in (0:06:35) Al: and it’ll taste good. And if it doesn’t taste good, I add in something else and it tastes good now. (0:06:41) Al: But baking, if you muck up the measurements, you’re getting a pile of mush. (0:06:42) Kelly: That’s, yeah, I will say, I am definitely doing like a dirty sourdough at the moment for the starter because I used to be very anal and I would measure everything out. (0:06:55) Kelly: And after like, I guess four or five years of doing sourdough starters, I just like, I understand what the consistency needs to be. (0:07:04) Al: Yeah, yeah, that’s very different. (0:07:06) Al: If you’re doing the same thing all the time, you know what it needs to be, (0:07:08) Kelly: Yeah, but there’s definitely some. (0:07:10) Al: and you just get used to that. (0:07:12) Kelly: There are some things that I kind of like mess around with in baking where I think other people might not. (0:07:16) Kelly: And it’s like in the end, it still tastes great. (0:07:20) Kelly: And it’s my little science experiment, you know? (0:07:22) Al: Yeah, I know. For sure. (0:07:24) Kelly: But no, I love cooking and baking for the two different reasons. (0:07:28) Kelly: Like one is my little science chemistry set. (0:07:32) Kelly: And the other one is like throw whatever the hell you want into a pan and see what happens. (0:07:34) Al: Yeah, I like the idea of baking and I sit with a pack of flour in my cupboard and I (0:07:42) Al: watch as it goes out of date, because it’s just like, it’s a whole other mindset you (0:07:49) Al: have to be in before you can actually realistically do that. And that, yeah. I’ve had a recipe (0:07:50) Kelly: - Yes. (0:07:55) Kelly: - Yeah, it’s a different commitment. (0:07:57) Al: for like a specific kind of flatbread for months and I’ve not done it yet. And that’s (0:08:04) Al: all for baking. That’s just bread. (0:08:06) Kelly: Yeah, yeah. (0:08:07) Kelly: No, I’ve been meaning to make a brioche bread for months, (0:08:12) Kelly: and I just keep putting it off because I’m like, (0:08:14) Kelly: I don’t want to deal with it. (0:08:14) Al: There’s so much brain space. (0:08:16) Al: Anyway, Sunhaven. (0:08:17) Kelly: Yes, Sun Even has been a lot of fun. (0:08:20) Al: Pardon me, that’s what we were talking about. (0:08:23) Kelly: I like the different mechanics that they’ve added into it. (0:08:26) Kelly: I enjoy having magic. (0:08:27) Al: Yep. Interesting. (0:08:28) Kelly: I wouldn’t say it’s like the most thrilling farming game. (0:08:32) Kelly: I’ve ever played, but I think it’s overwhelming in a way that keeps my attention. (0:08:38) Kelly: Like having the different farms in different areas. (0:08:42) Al: It’s quite story based as well, isn’t it? (0:08:43) Kelly: Yes, yes, there’s a lot. (0:08:45) Al: How are you finding that? (0:08:47) Kelly: Um, it’s good. (0:08:49) Kelly: I don’t always pay attention to stories and games, so I’m not the best person. (0:08:54) Al: Yeah, same. (0:08:57) Kelly: I will say sometimes I look over to the characters, though, and have my eyes coped at one, I think. (0:09:03) Kelly: You guys don’t have that much clothes on. (0:09:04) Al: I’ve had, I backed this game on Kickstarter and I’ve had it in my Steam library now for (0:09:14) Al: a couple of years. I’ve not done anything with it. I have not, no. I think part of my (0:09:16) Kelly: Have you played it? (0:09:21) Al: problem is there’s like a time frame after a game comes out where if I don’t play a game (0:09:26) Al: in that time period I’m probably never playing it. (0:09:28) Kelly: Mm-hmm. Yeah, and that’s hard because you have games that like you want to play and also (0:09:35) Al: Let me tell you how many games have come out this year, purely farming games. We are currently (0:09:41) Al: at 20. 20 games have come out this year so far. No, actually I’m wrong. 22. No, 24. 25. (0:09:51) Al: 25 games that I am tracking on this game, on this podcast, by the 10th of May. There’s (0:09:54) Kelly: By May. (0:09:59) Al: more coming out in May. There’s another three on the list that are releasing this month. (0:10:03) Kelly: Are they flooding the market? (0:10:06) Al: It’s the Stardew Effect. We’re just at that time period. We are, what is this, eight years (0:10:08) Kelly: It is. (0:10:10) Al: after Stardew got popular? So just everybody’s finishing up their Stardew clones. (0:10:12) Kelly: Yeah. (0:10:18) Kelly: That is very true. (0:10:19) Kelly: And unfortunately, Sunhaven does fall into that. (0:10:24) Kelly: But again, I think it’s not the most unique farming game I’ve (0:10:28) Kelly: ever played, but I do like some of the things that they’ve added. (0:10:31) Kelly: I also just find it comforting. (0:10:33) Kelly: I like a good micromanagy game. (0:10:36) Al: Yeah, yeah, I’ll talk about mine in a minute. (0:10:38) Al: But, yeah, I totally agree with that. (0:10:40) Al: I wonder. (0:10:40) Kelly: And I do like that you don’t spend energy. (0:10:44) Al: Oh, yeah, so we’re going to have to we’re (0:10:46) Al: definitely going to have to talk about this game then (0:10:48) Al: because I am also playing a game which doesn’t have energy. (0:10:54) Kelly: It’s a fun mechanic to like, not worry about. (0:10:54) Al: And that is. (0:10:57) Al: Yeah. (0:10:59) Al: I am very much enjoying it. (0:11:02) Kelly: It’s really nice. (0:11:04) Kelly: Like, oh, there’s still always the time, you know, crunch or whatever. (0:11:06) Al: Yeah, yeah. (0:11:07) Kelly: But like, oh, I don’t have to eat 10,000 apples just because I (0:11:11) Kelly: want to hit a few more rocks. (0:11:13) Al: This is the thing that’s always annoyed me about farming games is you’ve got two (0:11:17) Al: limitations, you’ve got the time and the energy and removing one or the other of (0:11:24) Al: them, because Ever After Falls, which is what I’m playing and Sunhaven, (0:11:29) Al: which is what you’re playing, both remove the stamina. (0:11:32) Al: but Sugaju Valley, which we’ll talk about in the news section, (0:11:36) Al: it removed the time aspect where it’s essentially turn based. (0:11:41) Al: So you do your stuff and then you there’s two phases to the day. (0:11:45) Al: There’s the day phase and the night phase. (0:11:48) Al: And the night phase is when you open the shop. (0:11:51) Al: So it’s like you do whatever you want to do and then you go and open the shop. (0:11:54) Al: And then when you close the shop, it’s bedtime. (0:11:58) Kelly: that’s sick yeah yeah yeah sometimes bad games yeah it’s um which I think you (0:11:59) Al: So I like the… (0:12:01) Al: I mean, it’s not a good game, it’s a bad game. (0:12:03) Al: But it was interest that was that was an interest. (0:12:06) Al: Interesting thing and I like the games are now trying to play around with these things a little bit more. (0:12:13) Kelly: know that’s one of the things that we benefit from at like at the time point (0:12:17) Kelly: we’re in post stardew is like obviously that a lot of copies came out but I (0:12:24) Kelly: I think we’re really starting to see people like try to change (0:12:28) Al: Mm hmm. Yeah. So we’ll see. We’ll see how those things go. But OK, so you’re enjoying Sun Haven. (0:12:36) Kelly: Yes, I have put over 100 hours into it so far. (0:12:39) Al: Let me schedule that episode then. Sun Haven. Kelly. We’ll see when we do that. (0:12:48) Kelly: You know, you’re the reason I actually picked it up, I think, is because we were talking (0:12:50) Al: I’ve been meaning to play it for so long. Maybe I can event. Maybe I can finally play it if I’ve got (0:12:55) Al: a date to record on it. Aha! (0:12:58) Al: Right, OK. Was it in the news then? (0:12:59) Kelly: about it during the grimoire podcast. (0:13:06) Kelly: Probably I don’t know. (0:13:07) Kelly: I know it got mentioned. (0:13:08) Kelly: It was probably like a brief mentioning, but I think it was the news. (0:13:10) Al: many things, come on. Well I have obviously been playing Ratopia, I’ve only been playing the demo, (0:13:13) Kelly: So you influenced me, congrats. (0:13:22) Al: we’ll get to that later, but yeah I’ve been playing the demo of Ratopia. I’ve also been (0:13:29) Al: playing Ever After Falls and I have put in about 60 hours in that game so far, so it hooked me. (0:13:34) Kelly: What, what’s, what’s that one? (0:13:37) Al: So that’s just another stardew clone, but it um (0:13:40) Al: Obviously, as I said, it doesn’t have the stamina aspect, but it’s, let’s see, how would I describe, so it’s premise is slightly different, where you die at the beginning of the game, and then wake up and turns out that your real life was a simulation, and now you’re in another world with a farm. (0:14:06) Kelly: Oh, interesting. So really planning on people’s simpsychosis fears. (0:14:11) Al: Yeah, yeah, yeah, yeah, for sure. And it’s very solid, I would say, probably much like what you’re talking about with Sunhaven. It’s like a solid farming game, and it has definitely caught that bug that I have for I must do this thing, and I’m building up this farm, and that is what I’m doing. (0:14:37) Al: And I’ve been enjoying that. (0:14:40) Al: And I have some things to talk about it that I’m going to talk about in a future (0:14:43) Al: episode that I found interesting, but I think if you’d like Stardew and you’ve (0:14:49) Al: been like, I must have another one and I’m done with Stardew, (0:14:52) Al: I want a different list. (0:14:54) Al: It’s a pretty solid one. (0:14:55) Kelly: The graphics look really cute. (0:14:57) Al: Yeah, that’s what initially grabbed me in. (0:14:59) Al: And the animation of it is fun as well, like your character’s arms are not (0:15:03) Al: attached to the body and they can swing really funny as you walk around. (0:15:08) Al: And there’s a few other things like you’ve (0:15:10) Al: seen these that you can catch and put them on things and you’ll get like wood or (0:15:14) Al: or without actually cutting the thing down. (0:15:17) Al: And that’s kind of like around it’s trying to encourage sustainability. (0:15:18) Kelly: Oh, that’s cool. (0:15:21) Kelly: Mm-hmm. (0:15:22) Al: So, yeah, there’s a few bits and pieces. (0:15:22) Kelly: Yeah, but it’s that solid game. (0:15:27) Kelly: Sometimes you don’t need anything innovative or crazy (0:15:29) Al: Yeah. Yeah. (0:15:30) Kelly: different. (0:15:30) Kelly: It’s just a nice, comforting game. (0:15:34) Al: So that’s what I’ve mostly been playing. (0:15:37) Al: I have also, so two picks earlier came out and I had backed that game. (0:15:42) Al: So this is like a life sim in a kind of stardew style, (0:15:48) Al: but it’s much more, it’s almost, I guess, GTA-esque. (0:15:54) Kelly: I was gonna say it looks like kind of reminds me of like I don’t want to say sim city but like (0:16:00) Al: I guess it would be some city if you were actually controlling an individual. (0:16:00) Kelly: something like that (0:16:04) Kelly: yeah that’s that’s which I guess is kind of like the ratopia of also (0:16:10) Al: Yeah, I think it’s different from that in so much as like you don’t have any control (0:16:15) Al: over anyone else. You’re just living your own life, but you can you can do crime and (0:16:16) Kelly: Mmm. (0:16:20) Al: stuff like that. What I will say is I’ve not properly played it because it doesn’t have (0:16:21) Kelly: Okay, that’s cool. That’s fun. (0:16:27) Al: controller support. So later, I play on my Steam Deck. (0:16:30) Kelly: Oh, you don’t do mouse and keyboard. (0:16:35) Kelly: Ah, that’s crazy. (0:16:36) Kelly: I didn’t consider that, that… (0:16:38) Kelly: Why would they put anything on the Steam Deck (0:16:40) Kelly: that doesn’t have… (0:16:40) Al: Well, anything on Steam goes on the Steam Deck by default, and most games coming out (0:16:43) Kelly: Yeah, no, I understand that, but like… (0:16:47) Al: now will have controller support. It’s a good question as to why it doesn’t have controller (0:16:52) Al: support yet, and I do not know the answer. They have said that they’re adding controller (0:16:56) Al: support soon, but yeah, I’m just like, why, why, why? (0:16:57) Kelly: okay hopefully like I get what you’re saying like obviously they push everything from steam to it (0:17:03) Kelly: but like you would think that there would be like some kind of filter like (0:17:08) Al: They have a compatibility thing and it’s and it currently has an unknown compatibility (0:17:12) Al: for Steam Deck. (0:17:13) Kelly: okay (0:17:14) Al: So. (0:17:15) Al: But whatever. (0:17:16) Al: Yeah. (0:17:17) Al: I opened it up. (0:17:18) Al: Went. (0:17:19) Kelly: yeah that’s that’s fair that’s very fair (0:17:19) Al: Yeah. (0:17:20) Al: Nope. (0:17:21) Al: We closed it. (0:17:24) Al: I’ll try again once you’ve added controller support, please and thank you. (0:17:28) Al: So, yeah, that’s. (0:17:30) Kelly: Interesting concept though. (0:17:31) Al: Yeah. (0:17:32) Al: Yeah. (0:17:33) Al: Well, I want to try it. (0:17:34) Al: That’s the thing. (0:17:35) Al: Like what it is saying it’s doing (0:17:38) Al: It has mixed reviews on Steam just now. (0:17:40) Al: So who knows how that will go, but (0:17:42) Kelly: Well, you know. You gotta try stuff. (0:17:43) Al: we’ll see. (0:17:46) Al: All right, let’s talk about some news. (0:17:48) Kelly: Yay! News! (0:17:50) Al: Tales, Tales of Saikyu. (0:17:56) Kelly: I think sake you, but like, also, I’m not a- (0:18:00) Al: This is the game where you turn into Yoko, Yoko, Yoko. (0:18:06) Kelly: Yokai? (0:18:08) Al: This game is where you turn into Yoko for getting around and dealing with your crops and stuff like that. (0:18:09) Kelly: Taseku, mess you up. (0:18:21) Al: You have a whole bunch of different abilities for turning into different Yokai that have different abilities to do these things. (0:18:30) Al: Yeah, yeah, I haven’t decided whether I want to play this or not, but it is a thing. (0:18:36) Al: and they’ve announced that their early access is coming. (0:18:38) Al: I don’t think this was a Kickstarter, so I won’t have backed it, so don’t buy it. (0:18:40) Kelly: Oh, very soon. (0:18:53) Al: I’m telling myself that, not other people. (0:18:56) Al: I can’t be trusted. (0:18:57) Al: Yeah, not much else to say about that, they’ve just announced their early access is coming. (0:19:03) Al: One thing I didn’t check is what they’re expecting in terms of how long. (0:19:08) Al: Because that’s always an interesting thing is how long they say they’re going to be in (0:19:11) Al: early access for. (0:19:13) Al: They’re expecting it to be about a year, so I suspect two and a half years. (0:19:18) Kelly: That sounds like good math. (0:19:24) Al: Next we have another update for Sugaju Island. (0:19:27) Al: So this game is bad game, don’t buy this game, don’t play this game, but they are making (0:19:32) Al: it less bad. (0:19:34) Al: Maybe someday it will be less bad enough that it will be worth buying, it probably won’t (0:19:38) Al: be. (0:19:39) Al: So in this update they’ve added sprinklers, so you can have sprinklers on the farm. (0:19:45) Al: Yay. (0:19:46) Kelly: And you can discover seashells. (0:19:46) Al: It’s such a, yeah, wow, I just, what, well, lackluster updates for lackluster game, that’s (0:19:47) Kelly: How exciting. (0:19:53) Kelly: This is like really lackluster updates. (0:19:55) Kelly: I’m sorry. (0:19:59) Al: what I would say. (0:20:02) Al: I don’t, they’ve also added key bindings support, so you can change your key bindings, which (0:20:06) Al: Good, I’m glad. (0:20:08) Al: You should have had that at lunch. I find this game so fascinating, (0:20:14) Al: because it feels so much like we need to do a farming game, so let’s do a farming game. (0:20:21) Al: And the only interesting thing about it was the turn-based time in the day. It is, (0:20:28) Kelly: Which is like a really cool concept, which is that sounds so interesting. (0:20:32) Al: but… but he’s just not good. (0:20:34) Kelly: They put all their effort into that one concept and nothing else. (0:20:38) Al: They’ve marked this as a major update on Steam. That is something. Uh, yeah. (0:20:46) Kelly: I mean, I’m going to just say this like then I think the name alone implies to me that there’s not a lot of effort going on here. (0:20:54) Al: Oh Kelly, you probably haven’t listened to last week’s episode have you? (0:20:57) Al: There were two new games in last week’s episode that were called Sunseed Island and Starsand Island. (0:21:08) Kelly: We got to start like putting a ban on certain words for farm game (0:21:14) Al: Known, known, island or valley. Yeah, this is… (0:21:18) Kelly: If you have “do” in your name. (0:21:24) Al: Good changes to the game, but that does not make a good game. (0:21:31) Al: I cannot see how either of these three tiny things in this major update would (0:21:39) Al: change this game from being bad to being good. I have no interest in opening that game again. (0:21:48) Kelly: Definitely good to know. I was very intrigued when you mentioned the turn-based, and very (0:21:52) Kelly: disappointed when you immediately followed up with that it’s a bad game. (0:21:54) Al: here lies the problem. They do have a demo. Feel free to try the demo. I mean, some people (0:22:01) Al: like it, apparently, there are some positive reviews. Apparently, it’s mostly positive. (0:22:07) Al: I don’t know how. I really don’t know. So, like, every recommended person is like, oh, (0:22:08) Kelly: Are they paying these people? (0:22:17) Al: it’s so nice. And they’re like, but it’s not. And all the not recommended is like, it is (0:22:23) Al: the most boring farming game. (0:22:24) Al: With so few features, it feels like a proof of concept and then they didn’t add the rest of the game. (0:22:36) Kelly: I don’t know how Steam reviews work. (0:22:38) Al: You just have to own it, I think. (0:22:42) Kelly: Yeah, but like, I think it tells you, right, if like, they got it for free. (0:22:44) Al: Oh, good question. Purchase type. Steam purchases and other. So other would be free ones. (0:22:53) Kelly: That’s what I would think, but like I meant more so too on like the, oh, no, nevermind. (0:22:58) Kelly: 230 people found this review helpful. (0:23:02) Al: Oh, is that the not recommended one at the top? (0:23:04) Kelly: Yeah. (0:23:06) Al: I can’t believe I put 12 hours into this game, absolutely mad. (0:23:09) Kelly: That’s a lot of hours. (0:23:10) Al: It’s a lot of hours for a bad game. (0:23:13) Al: All right, yeah, I’m going to start bashing this game. (0:23:14) Kelly: Next. (0:23:16) Al: Moving on, Outlanders have announced a new DLC, The Culinary Diaries. (0:23:23) Al: It looks like it’s a food based story addition to the game. (0:23:29) Al: This is a town building strategy game. (0:23:31) Kelly: OK, it looks like a short hike or the goose game. (0:23:36) Al: Yeah, I mean, graphics wise, yeah, it’s very much management style game, though, rather (0:23:38) Kelly: Yes, yeah, that’s what I’m basing that off of entirely. (0:23:44) Kelly: OK. (0:23:45) Al: than I have not. There’s too many games to play them all. But yeah, it looks like it’s (0:23:47) Kelly: Have you played this one? (0:23:55) Al: added a whole bunch of cooking stuff. So if you enjoy this game, there you go. You got (0:24:01) Al: a new update? A new DLC? Or is it paid? That’s a good question, I should check that. (0:24:06) Al: It is… No, it’s not free. It is $5. It is not bad. They’ve got quite a few DLCs, (0:24:06) Kelly: It’s free, maybe. (0:24:13) Kelly: Oh, that’s not bad. (0:24:17) Al: which is interesting. They’re all $5. Yeah, they also have very positive rating on Steam. (0:24:18) Kelly: I noticed that it seems like they’re, they have quite the DLC (0:24:29) Al: None of that tells as much, because it’s Sugaju Island, Suga Valley, whatever, I don’t care. (0:24:30) Kelly: - I think no. (0:24:37) Al: Had a positive, quite positive, was it? Or something like that? I don’t know. It was positive for some reason. (0:24:46) Kelly: But I mean, like, I feel like generally, obviously, (0:24:49) Kelly: that’s not true for everything. (0:24:51) Kelly: Games that tend to put out consistent DLC content, (0:24:55) Kelly: like, there’s something good going on. (0:24:57) Al: Yeah, it has twenty nine thumbs up on the Steam post and zero comments. (0:25:03) Al: So you’ve not got a whole bunch of people (0:25:05) Al: complaining about it being paid, which implies to me that some people are (0:25:10) Al: excited to buy it. (0:25:10) Kelly: Yeah. And again, for $5, it’s not a bad addition. (0:25:14) Al: Five dollars. (0:25:17) Al: All right, next, we have some new games to talk about. (0:25:21) Al: First up, we have turnip bill. (0:25:25) Al: Words, words. (0:25:25) Kelly: You’re not having a good day with the, I’m immediately adding this one to my wish list (0:25:27) Al: Fail me, Callie. (0:25:33) Al: Turnip Boy steals them all. (0:25:36) Al: Uh, have you played any Turnip Boy game? (0:25:39) Kelly: I have not, um, not out of like not wanting to, but like just life. (0:25:45) Al: So turn it by commits tax evasion is great fun. It’s it’s a really good (0:25:51) Al: small (0:25:53) Al: RPG and I really liked that game turn it by Rob’s a bank is (0:26:00) Al: similar in terms of its action (0:26:02) Al: But it is a roguelite (0:26:06) Kelly: Oh, interesting. So not for Al. (0:26:08) Al: I (0:26:09) Al: Mean I I played it. I want to see how many hours I put into it. I put in (0:26:11) Kelly: Yeah. (0:26:15) Al: I played it on the switch not steam apparently (0:26:18) Al: So I would need to I would need to look on my switch, which I’m not doing right now (0:26:23) Al: I (0:26:26) Al: Finished the game. I completed it which I haven’t done for many many roguelites (0:26:35) Kelly: says a lot. I didn’t realize how new these games were though. That’s crazy that they’ve put out (0:26:40) Kelly: three games in like four years. (0:26:43) Al: Yeah, 10 hours is apparently what I put into it to complete the game. (0:26:48) Kelly: Oh, that’s, that’s a, that’s like a solid cute little short game. (0:26:52) Al: Yeah, well, that’s the thing about them. They’re not super long, (0:26:55) Al: you know, you’re not looking at 50 hours, you’re looking at up to 10. (0:27:00) Al: With Turnip Boy commits to excavation, I 100% did it. I didn’t 100% (0:27:05) Al: rob the bank, but I did complete the story. I completed that run, completed that run. (0:27:12) Al: Which is enough. (0:27:13) Al: For a roguelite, for me, considering I only got a third of the way through a run in Hades. (0:27:27) Al: Defeated the first boss, then died in the next level and went “I’m not playing that boss again”. (0:27:36) Kelly: Where’s your dedication to pain? (0:27:40) Al: Nowhere. So yes, right. Okay, so this is a new Turnip Boy game. Don’t get excited. It is not an (0:27:46) Al: RPG. It is not like the previous Turnip Boy games. It is an endless runner for some reason. (0:27:55) Kelly: Very, you know, they found like their niche little like theme with the turnip boy, but like it’s very interesting that each game is different. (0:28:04) Al: Yeah, so what I’ve said in my notes here is, I’ll buy and play a new Turn It By game, right? (0:28:13) Al: Because I like Turn It By, but I’m a little bit disappointed that it’s a third game and (0:28:19) Al: it’s not like the first, because yeah, the second one was different, but it was the same (0:28:24) Al: as well. (0:28:25) Al: Like it was a roguelite, but it was still like a combat game in the same way that the (0:28:31) Al: other one was, right? (0:28:32) Al: The controls were the same, you controlled the player. (0:28:34) Al: The same, you still had a weapon in the same way, and there weren’t as many puzzles, right? (0:28:40) Al: The first one had more puzzles, but it was still there was the same combat and stuff like that. (0:28:46) Al: And this is very much not that. So I’m a little bit sad about that. (0:28:53) Al: I guess that’s fine, you know, they can do what they want. But yeah, I’m gonna buy it, I’m gonna (0:29:00) Al: to play it and I’m sure I’ll enjoy it but I want another turnip by turnip (0:29:04) Al: I was so good, it was funny (0:29:06) Kelly: I’ve literally only heard good things about it. Like, you know, it’s I feel like they (0:29:11) Kelly: really like turn a boy made himself into a thing. (0:29:14) Al: Turnaby commits tax evasion was a lovely RPG that you could 100% in 10 hours, and it was funny. (0:29:20) Al: It had a fun little story. It had some good combat that was actually challenging, (0:29:24) Al: especially near the end. And it was good fun. Turnaby robs a bank, had the challenging combat, (0:29:30) Al: and it had some of the funny story. And other than that, it missed the rest of it. (0:29:34) Al: And this presumably will have the same humor. But that’s it. And (0:29:38) Kelly: But that’s it. (0:29:39) Kelly: So they’re just slowly degrading. (0:29:44) Al: I feel bad saying that, because I suspect it’s not like they’re making this instead of another (0:29:50) Al: RPG, right? Like, I think they had a good idea for doing this. And they’ve done it as Turnaby. (0:29:57) Al: I’m just like, when I saw there’s a new Turnaby game, I went, “Oh, yes, great!” (0:30:01) Al: And I looked at it and went, “This is nothing like them at all.” (0:30:04) Kelly: Yeah. No, I was just being a little cynical, but I agree. (0:30:09) Kelly: I think that’s they’re just trying different avenues. (0:30:14) Kelly: It’s not like, oh, this is like a quick grab or something. (0:30:16) Al: Yeah, yeah, no, I get that. But yeah, I’m not saying it’s going to be a bad game. It’s (0:30:20) Al: just one of these things where it’s like, if you would hear, oh, you know, say you didn’t (0:30:25) Al: know about Silksong, right? And you heard Silksong’s coming out. It’s a new, a new Hollow Knight (0:30:33) Al: game. You’re like, oh, fantastic, exciting. And then it turns out it’s Solitaire. Right? (0:30:40) Kelly: Yeah, that would Yeah, yeah, that’s very true (0:30:41) Al: That’s essentially what we’ve had here. (0:30:44) Al: OK. (0:30:46) Al: Like I’m not saying it’s a bad game, I just saw new turnip game, excited. (0:30:50) Kelly: You want her to play, yeah (0:30:51) Al: It’s not that, that’s the problem. (0:30:54) Kelly: Yeah, yeah, no, that’s that’s the hard part (0:30:55) Al: And I guess this is the problem with spin-offs and stuff like that, right? (0:30:59) Al: Because this is what this is, it’s a spin-off, it’s not a sequel, it’s a spin-off. (0:31:02) Kelly: Mm-hmm. (0:31:03) Al: And I’m not saying they can’t do that, I’m just like, my expectations going in was different (0:31:09) Al: and I don’t know how they solve that problem, but that’s where we are. (0:31:14) Kelly: Well, maybe they’re working on that perfect Turnip Boy sequel in the back end. (0:31:20) Al: Well, they’re working on a different game just now as well, Hobknobbers, (0:31:26) Al: which I don’t think is out yet. (0:31:27) Al: Let me check. (0:31:27) Al: Yeah, it’s not. (0:31:28) Al: It’s still coming soon. (0:31:29) Al: So I suspect that the Hobknobbers is their upcoming big game and (0:31:37) Al: Turnip Boy steals them all as a let’s do a quick and easy, fun, endless (0:31:37) Kelly: - This is the, mm-hmm. (0:31:42) Al: runner that some people can buy and it will help our cash reserves. (0:31:49) Al: Well, speaking of their cash. (0:31:50) Al: It deserves, they’re also releasing a cubified turnip boy plushie. (0:31:53) Kelly: It’s so cute though and they have to reach their funded goal. (0:31:56) Al: I don’t need it. (0:32:00) Al: It’s $40! (0:32:01) Al: Oh my word, $40? (0:32:05) Al: This thing better be huge, how big is this? (0:32:07) Al: It’s 35 centimetres tall, so it is reasonably big, but that’s a lot of money. (0:32:14) Kelly: But it looks so soft. (0:32:16) Al: What is the shipping going to be to me? (0:32:20) Al: Probably too much. (0:32:20) Kelly: I don’t need this. What is the shipping? (0:32:26) Kelly: How much tariff would I have to pay to receive this? (0:32:30) Al: Oh 15 dollars shipping to me! (0:32:33) Kelly: Ugh. (0:32:34) Al: 55 dollars. (0:32:36) Kelly: Okay, that’s… that’s… (0:32:36) Al: And it is only 40 pounds, but I’m enjoying the dollar has sunk. (0:32:38) Kelly: But he’s so cute. (0:32:50) Kelly: Well, I’m so glad that someone’s benefited. (0:32:58) Kelly: Oh, I see, there is a tariff statement at the top. (0:33:06) Al: I don’t need it anyway so cube turnip cube or cube boy whatever you’d like to call him he exists (0:33:14) Kelly: He’s very cute. (0:33:15) Al: yeah uh (0:33:16) Kelly: He looks like he’s like that good soft material, too. (0:33:18) Al: yeah yeah (0:33:20) Kelly: Like squishmallows. (0:33:22) Al: but not (0:33:22) Kelly: I’m just going to keep talking until you feel bad, (0:33:24) Kelly: and then you add yourself to life. (0:33:29) Al: everdream valley have announced and released I think I think this is out now (0:33:34) Al: Ever Dream Valley. (0:33:36) Al: VR. A virtual reality version of Ever Dream Valley. (0:33:38) Kelly: Oh, oh, I don’t like that at all. I can’t look at that. (0:33:42) Kelly: I think I would puke if I ever did VR. (0:33:46) Al: I played, there was a game that I played which was like in VR, but you, but it was (0:33:54) Al: augmented reality rather than virtual reality. So you’re seeing the world around you as well (0:33:58) Al: and you like create these little islands where you put animals on them. I love that game. It’s such a (0:33:59) Kelly: OK. (0:34:05) Kelly: That seems cuter, and probably wouldn’t (0:34:07) Kelly: give me motion sickness, maybe. (0:34:10) Al: it was yeah it was a it definitely is much better um this I oh (0:34:16) Kelly: I literally can’t look at that cow clip. (0:34:18) Al: yeah I don’t I don’t know what to say about this game uh (0:34:25) Al: this kind of looks like a proof of concept this looks thrown together um (0:34:30) Kelly: It doesn’t look good. (0:34:32) Al: oh it’s not out yet it’s coming soon but you can pre-order it (0:34:34) Kelly: No yeah yeah but like that cow clip does not look good. (0:34:38) Al: No, no. (0:34:40) Al: No. (0:34:42) Kelly: Feels like I don’t, maybe I’m biased because I don’t like VR but like (0:34:47) Kelly: I thought we were kind of coming down from like the VR (0:34:51) Kelly: um spike I guess. (0:34:54) Al: do it. Yeah, I don’t know why they’ve done this. Like I have a VR headset and I love (0:34:59) Al: it for some things. I love Beat Saber. I love whatever the name of the game is. I kind (0:35:01) Kelly: Mm-hmm (0:35:07) Kelly: Beat Saber looks so sick. I think that would that’s like the the soul game that would sell me a (0:35:12) Al: It is the single thing that convinces anybody to buy VR. (0:35:17) Al: It is so good, I love it so much. (0:35:21) Al: But that, watching films in IMAX and whatever the name of the other game I play, the one (0:35:29) Al: with the Islands of Animals, those are the three things I’ve done more than once on my (0:35:33) Kelly: okay yeah no and it’s a separate game right like yeah you have to pay (0:35:35) Al: VR headset, right? (0:35:36) Al: Like there’s other things that you’ve tried once or whatever and gone “not for me”. (0:35:42) Al: It’s game, but the content. (0:35:47) Al: Yeah. (0:35:48) Al: It’s twenty dollars I think? (0:35:50) Kelly: you could pre-order it for 15 (0:35:58) Kelly: Yeah, no, I feel like a lot of the VR game just feel like novelty. (0:36:02) Al: Tune in next time to see if I’ve bought this game or not. (0:36:07) Al: All right. (0:36:08) Al: That’s the news. (0:36:09) Al: Let’s talk about Ratopia. (0:36:11) Kelly: Yay, I’m just so glad it came out. (0:36:12) Al: All right, I’m going to. (0:36:15) Kelly: Can I say that as someone who is waiting on so many different stupid games? (0:36:16) Al: Yeah. (0:36:20) Kelly: It is so nice to get a full release. (0:36:25) Al: OK, I want to try and describe this game and you can tell me what you think (0:36:30) Kelly: Okay. (0:36:30) Al: about my description. (0:36:32) Al: You are the the queen of a new rat city (0:36:39) Al: and you are building your city out. (0:36:43) Al: You it’s it’s almost it almost is like a it is a city builder, (0:36:49) Al: but it is a an RPG city builder. (0:36:52) Al: So you’re controlling a character. (0:36:55) Al: And you are building up the city. (0:36:58) Al: You’re you know, you’re saying this is where buildings go and you’re saying this (0:37:02) Al: different things go and this is these are the laws of the city and stuff like that. (0:37:08) Al: And you also accept in new members or new citizens. (0:37:14) Kelly: Mm-hmm. (0:37:15) Al: They are. They call them (0:37:18) Al: they call them migrants or refugees. (0:37:19) Kelly: I think it’s migrants. (0:37:19) Al: I can’t remember. It’s one of the two. (0:37:21) Kelly: It’s something with an M. I know that. (0:37:22) Al: I think it’s my yeah, it’ll be migrants then. (0:37:25) Al: And when you accept migrants in, you can then put them to work. (0:37:29) Al: Or you, so I guess the two, two. (0:37:32) Al: Your main ways of playing the game are you are controlling your individual character who goes around and can do things, and then you’re also directing your citizens to do things as well, so you don’t have to do them instead. (0:37:47) Al: And that can be basically anything, right? You can get them to man a specific building, to like lumber, or you can get them to dig. (0:37:55) Al: I think automatically they will like gather up everything that’s on the ground and put it in the chest. (0:38:02) Al: That’s it. It’s a city builder, but you are controlling an individual character as well as telling other characters what to do. (0:38:10) Al: Is that a fair description of the game? (0:38:12) Kelly: I think it is also it’s vertical builder uh like yeah yeah yeah (0:38:14) Al: What does that mean? What do you mean? Oh, like a 2D, yeah, okay, I see what you mean. It’s side scrolling up and downy. (0:38:22) Kelly: yes but like you’re building vertically which I think is like more terraria than like other (0:38:25) Al: Yes. I was going to, I was just going to say that Terraria is the, is the. (0:38:32) Al: Would be the example. (0:38:34) Kelly: I would say this is like a micromanagers final boss game (0:38:38) Al: Oh, my word, so micromanaging. (0:38:40) Kelly: It’s, it makes. (0:38:42) Kelly: It makes my heart sing. It’s incredible and so stressful. (0:38:45) Al: So let me tell you how I, let me tell you my thought process when starting this game. I’ve not put in, like, I’ve maybe put in less than an hour into this game, but the demo is really good at showing you the core concept of the game really quickly, and I don’t know if the main game does it in the same way, but. (0:39:02) Al: And you’re like, oh, you’re great. That’s fine. I’m going to go do some digging and blah, blah, blah, blah, blah. Oh, man, I can only carry three things at once and there’s only three of the same thing. (0:39:10) Al: Oh, that’s really frustrating. Oh, goodness. Right. This is going to take forever to do anything. It’s like you dig, dig, dig, and then you throw in the chest and then you dig, dig, dig, and you throw in the chest. Right. Fine. Whatever. This is really annoying. (0:39:22) Al: Oh, OK. Right. I’m adding in new people to my city. OK, fine. Oh, they’re all picking up the things I can do so I can just go now and dig and dig and dig and dig and they will take the thing. Great. That’s a much improvement. (0:39:32) Al: And then it’s like, oh, and then it goes, oh, you need to build this thing. And you’re like, how do I do this? And it’s like you go into this menu and this menu then expands and expands and expands. (0:39:43) Al: And it’s like this web, absolute mass, massive web of different parts of different menus. And you’re just like, I have no idea what’s happening here. (0:39:54) Al: And it’s just it is, if you enjoy not creating spreadsheets, but if you enjoy looking at. (0:40:02) Al: Somebody else’s spreadsheets and figuring out what they do, you will like this game. (0:40:08) Kelly: I think that is a fair– (0:40:12) Kelly: not metaphor, what is the word I’m looking for– (0:40:15) Kelly: summation of essentially all of the aspects of this game. (0:40:18) Al: Where I enjoy making spreadsheets, I do not enjoy figuring out what other people have done, and that’s what the menu felt like. I’m like, I want this thing, but I need to figure out what category they put it in, what category of what category, and what menu of what setting, and then where in this category is it, because it’s just like this mess of things. (0:40:42) Al: And I don’t like figuring out what people think in the best of times. (0:40:48) Al: And it just feels like somebody made this game, and this is how they decided was the most logical thing for their brain, and I cannot be bothered spending my time figuring out why they decided. (0:41:02) Kelly: I think that is a very fair way to see it because I think that’s exactly how it is. (0:41:10) Kelly: But also, I feel like once it starts clicking, it starts making more sense because for me, (0:41:16) Kelly: I really enjoy trying to figure out how people are thinking because I think that’s the only (0:41:20) Kelly: way I can understand vaguely people. (0:41:26) Kelly: So it’s like a puzzle. (0:41:27) Kelly: So I think the puzzle of trying to understand the thought process is kind of fun. (0:41:32) Kelly: Also frustrating, though. (0:41:35) Kelly: Like, there’s definitely been moments where I’m like, (0:41:38) Kelly: “This stupid rat has to pee! How do I fix this?” (0:41:42) Al: Yes, I (0:41:42) Kelly: You know, like, “What do you mean they can’t do this task?” (0:41:46) Al: Think that part of it is is is I I didn’t hate right because it’s like you’re just your standard city builder thing (0:41:50) Kelly: No, no, it’s not bad (0:41:52) Al: It’s like you need to balance you need to balance all these things and you need to figure out how they balance fine (0:41:57) Al: Sure, whatever my problem. I just felt like I was navigating menus for 90% of the time (0:41:57) Kelly: Yes, it’s just I think (0:42:03) Kelly: It’s a lot of menus (0:42:04) Kelly: I did see someone say that they didn’t like that the game paused when you opened the menu to like build something and in (0:42:11) Kelly: My head I was like, what the hell are you talking about? (0:42:13) Al: All right souls player, goodness me, just masochistic person. (0:42:15) Kelly: Yeah, I was like what kind of game do you think this is that’s crazy (0:42:21) Kelly: Then like I literally I watched that and I was like what the hell kind of person (0:42:27) Al: Oh, my word. Horrifying. (0:42:28) Kelly: That’s sick that’s sicko behavior (0:42:32) Kelly: It’s like please keep those thoughts to yourself and I think better never implement that in this game (0:42:38) Al: Yeah, that that that how to make this game more stressful. (0:42:42) Kelly: Yeah, literally, like you said, the souls-like version. (0:42:47) Kelly: That’s disgusting. (0:42:48) Kelly: Don’t ever tell people that. (0:42:50) Al: It was like the kid just said, “Is it time for a test in school?” (0:42:51) Kelly: Like, I need those, I need that pause (0:42:54) Kelly: to figure out what I’m doing. (0:42:58) Al: And you’re like, “No! (0:42:59) Al: What are you doing? (0:43:00) Al: What?” (0:43:00) Kelly: You didn’t collect our homework. (0:43:01) Al: Yeah. (0:43:02) Al: Oh. (0:43:06) Kelly: But yeah, no, that blew my mind. (0:43:07) Kelly: ‘Cause I was like, people think like this? (0:43:10) Kelly: Why would you want that? (0:43:12) Al: So yeah, I think I, I mean, we’re just, we’re apparently getting straight into (0:43:15) Al: my opinions, um, I, I can, I, this is not the game for me, but I 100% can see why (0:43:16) Kelly: I think that’s very fair, and I do overall, I think this game, there is so much going (0:43:21) Al: someone would like this 100%. (0:43:29) Kelly: on and like, I like Rimworld a lot, I don’t know half of the shit I’m supposed to be doing (0:43:36) Kelly: in Rimworld because there’s just so much in that game. (0:43:41) Kelly: I don’t even buy the DLCs for that game, I just like playing the game, I figure things (0:43:45) Kelly: Peace out as the game goes on. (0:43:46) Kelly: You know, I’ve been playing it for a few years, things will happen, bad things happen, sometimes you die. (0:43:48) Al: Yeah (0:43:51) Al: Do you know I think (0:43:53) Al: What I think interesting was I think that when I while I was playing this game (0:43:57) Al: I think I was thinking you know what I would have more fun doing probably what is terraria (0:44:03) Al: Right, like I feel like that’s what I’m looking for if I’m one if I would be wanting to play this game (0:44:08) Al: It’s it’s I I I want it simpler (0:44:13) Al: I’m not it’s not necessarily even the action adventure bit right like it’s it’s more I (0:44:14) Kelly: That’s, yeah. (0:44:18) Al: Was thinking like this but (0:44:22) Al: Minecraft and then I was like wait, but that’s terraria, right? (0:44:24) Kelly: Mmm (0:44:26) Kelly: That’s so funny because I’ve I’ve actually never played I missed the boat on Terraria (0:44:30) Kelly: And I’ve also never played Minecraft because I 100% missed the boat on that one. I feel like at a certain point (0:44:37) Kelly: Like I think I would still enjoy Minecraft, but at this point in my life. I’m just like I cannot pick up Minecraft (0:44:43) Al: That’s totally fair. Minecraft was my, like I got in literally the last day of alpha (0:44:50) Kelly: Oh, wow. (0:44:51) Al: in Minecraft. So that was back on in 2010, I want to say. And that was like, I was, (0:44:56) Kelly: Mm-hmm. And I know people are still playing it. I know, you know, it’s still a relevant game. (0:45:00) Al: oh yeah, yeah. Oh, absolutely. But I was like part of the way through uni at that point, (0:45:07) Al: university. So like I, I was very much in a world where I. (0:45:12) Al: Could sit up till three in the morning, obsessing over stuff. And I loved the building aspect of (0:45:18) Al: that. So I, I, if I, obviously I do not have any numbers for how much time I spent on Minecraft, (0:45:25) Al: because it wasn’t through Steam and nothing exists for that. But if I did have numbers, (0:45:30) Al: I would probably be incredibly scared to share that number with anyone, right? Like. (0:45:34) Kelly: That’s how I feel about my Sims numbers, you know? I’m so glad I don’t have those. (0:45:39) Al: Yeah. Yeah, same, same sort of thing. (0:45:42) Al: Absolutely. (0:45:45) Kelly: But no, I think what I like about this game is that there’s so much going on. Like in (0:45:50) Kelly: a sense it’s like, I enjoy bein

Hey yo hey yo, better late then never right? Unfortunately because I lost the live recording last month's episode I had to re-record the set (I guess, fortunately for you that means the set is nice and tidy), Episode 14 of The Bonus Stages is presented with minimal talk, and maximal beats. nekonoyounamono + Wasei “JJ” Chikada - 電子の海   [Bandcamp] Noteblock - Studiopolis Zone (from "Sonic Mania") (Funk House Version)   [Bandcamp] Doni - Go Straight (RobKTA's Go Skate Remix)   [Gamechops] Fake Blood vs Stardust - Mars Sounds Better With Me (The Young Punx Mashup)   [Fake Blood, The Young Punx, Stardust] RoboRob - Chemical Plant Zone   [Bandcamp] Dirty Androids - Into the Wild   [DA Recordings] boshii - Bob-Omb Battlefield [Dance] (from "Super Mario 64") ft. Lucas Guimaraes   [Bandcamp] Chameo - Wow   [Beatport] Wontolla - Mantis Lords (from "Hollow Knight") (Electro House Version)   [Bandcamp] Wolfgang Gartner - Wolfgang's 5th Symphony   [Beatport] BT - Somnambulist [SNR Super Smash - Extended Mix]   [SNR, BT] RoBKTA - Cerulean Dancefloor VIP (from "Pokémon Red & Blue") (Disco House Version)   [Bandcamp] Ben Briggs - Beetle Brawl (Mega Man X Series)   [Bandcamp] Elevic - Underworld   [Beatport] BlueDrak3 - Warframe "The Last Sequence"   [OC ReMix] capsule - Never Let Me Go (Extended-Mix)   [AmazonMP3] Thomas Feijk - Hi   [Beatport] Prime Ordnance - ElectriCity (from "SimCity 4: Rush Hour") (Electro House Version)   [Bandcamp] bLiNd - Wild Arms "Fireflight"   [OC ReMix] Flexstyle - Divekick "It's Okay, I Still Made Money"   [OC ReMix] Electric Soulside, Muzyc - Luvin' You   [Beatport] VGR - Super Smash Bros. Ultimate Main Theme   [Bandcamp] Jewbei - Wild Arms "Desirous Sacrifice"   [OC ReMix]   Stay Funky -DJ LvL Note 1: "Mars Sounds Better With Me" and the SNR Super Smash of "Somnambulist" are old bootlegs I cant find any links to, link provided to Fake Blood, The Young Blood, Stardust, SNR and BT. Note 2: Bandcamp links always provided when able. Beatport tracks can usually also be found on AmazonMP3 at a lower price and the advantage of unlimited cloud backup, but at a fixed fidelity.

What if you could predict consumer behavior—without running a single survey or focus group?  In this episode, host Rebecca Kalogeris sits down with Avi Yashchin, founder and CEO of Subconscious AI, to explore how synthetic respondents and causal AI are transforming the world of market research.   Avi shares how his background in high-frequency trading, behavioral economics, and product management at IBM Watson and Two Sigma led him to reimagine how businesses gain customer insights.  Subconscious AI's platform delivers what Avi calls “SimCity for Market Research”—a behavioral simulation that replaces traditional research with faster, more ethical, and scientifically grounded modeling. From shrinking the say-do gap to exploring causation (not just correlation), Avi outlines a powerful vision for the next era of insight.  For detailed takeaways, show notes, and more, visit: www.pragmaticinstitute.com/resources/podcasts  Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Learn more at www.pragmaticinstitute.com. 

Fredrik och Fredrik ger forna år en match, när de ska samsas om dåtidens bästa spel. Detta ÄR "Retro GOTY!".Upplägget är följande: Vi lyfter först våra personliga topp tio spel för året i fråga - denna gång spelåret 1999! Efter det blir det (om finnes) knasig trivia och fakta - eller allmänna minnen från året i fråga. Därefter gör vi den titulära RETRO GOTY:n. Vilka är spelen som hamnar i vår gemensamma "Game of the Year" á 1999? Lyssna och lär kära lyssnare!Exempel på spel som tas upp:Sega Rally 2,Homeworld,Quake III Arena,Aliens Versus Predator,Legacy of Kain: Soul Reaver,Silent Hill,Grand Theft Auto 2,System Shock 2,Driver,Age of Empires II: The Age of Kings,SimCity 3000,Sid Meier's Alpha Centauri,Heroes of Might and Magic III,Unreal Tournament,Dungeon Keeper 2,Silver,Dessa och många många fler (obs! Vi spoilar inte de som ligger i våra personliga topplistor ovan!

Who's the Temu Michael Jordan? Will Eddie Winslow ever play basketball again?!? And what did we cut out of the episode? We bounce back and forth the answers to these questions and more as we watch Season 1, Episode 6 of Family Matters. Alex Diamond, David Kenny, and John McDaniel heard that the long-running network sitcom Family Matters ends with side character Steve Urkel going to space. And the best way to figure out how that happened - obviously - is to watch the last episode first and make our way backwards through nearly ten years of television.Join our countdown to number one (and our slow descent into madness) in all the places you expect internet people to be:Website: jumpingtheshuttle.spaceEmail: jumpingtheshuttle@gmail.comInstagram: @JumpingTheShuttle / @ThatAlexD / @dak577Twitter: @JumpingShuttle / @ThatAlexD / @dak577TikTok: @JumpingTheShuttle / @ThatAlexD / @dak577Brought to you by Smooth My Balls

We're adding a little extra content to help you get over the Sunday Scaries! One of our listeners is having communication issues with her relationship, but it’s not as simple as you’d think. We’ll help her get her man to say EXACTLY what she needs to hear coming up in a “SAY YES TO THE EX." See omnystudio.com/listener for privacy information.

(Full episode available only to subscribers on Patreon) Espousing the strange and libidinal undercurrents in the kingdom of THAILAND with a discussion on Hirasawa Susumu's album SIM CITY (1995年) + Apichatpong Weerasethakul film TROPICAL MALADY สัตว์ประหลาด (2004年) + Nicolas Winding Refn's ONLY GOD FORGIVES (2013年). ISP S5.E22 patreon.com/imsopopular

Welcome to Dev Game Club, where this week we return with a bonus interview for our series on Interstate '76. We talk about shipping the game's predecessor, pulling together, and making something new. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Podcast breakdown: 1:15 Interview 1:05:22 Break 1:06:00 Outro Issues covered: introducing the guests, having fun making games, great manuals, marrying video games and Hollywood, having more video game applicable experience than you realize, having to right the ship well into development, preordering a game you ended up working on, living in the office, getting enough memory to run the games, opening up space for something new, superheroics and glue, "high polygon counts," muscle cars with guns, being ahead of the curve, sims being in the blood, engine development, come back with your tenth idea, a 28-year scoop on engine work, "I can do that," optimizing and making things up as you go along, making a game like a movie or TV show, a soundtrack that helped drive the game, a team of 12 or 13 people, the few basic bits in a vehicle sim, the players don't know what you've cut, not being arena-based, vigilantes and comic-book heroes, the tools for making the world and a scripted objective system, building from scratch, mission structure, finite state machines and AI, having an identity and character, having a bubble, sticking to your passion, working on a new car game, hearing the chemistry, TTRPGs and alternate histories, our audience maybe not being born yet when this game came out, #minecraft-realm-life.  Games, people, and influences mentioned or discussed: Activision, Mechwarrior 2, 20After1, Cinemaware, Crystal Dynamics, Project Snowblind, Tomb Raider (series), E-Line Games, Never Alone, Colabee, Very Very Spaceship, Niantic, Live Aware, Jamdat, DoggyLawn, Atari 2600, David Crane, Stephen Cartwright, Commodore '64, Pitfall: The Mayan Adventure, Adventure, River Raid, Bobby Kotick, Mediagenic, Intellivision, Pong, SimCity, Alan Gershenfeld, Howard Marks, DOOM (1993), FASA Interactive, Battletech, Egghead Software, E3/CES, Tim Morten, LucasArts, Totally Games, Larry Holland, TIE Fighter/X-Wing, Star Wars: Starfighter, id Software, Epic, Julio Jerez, Airport '77, The A-Team, Third Eye Blind, Kelly Walker Rogers, Tim Schafer, Carmageddon, Twisted Metal, Watchmen, Jordan Weisman, Microsoft, Wing Commander, Falcon, Fallout, Tim Cain, Leonard Boyarsky, X-COM, Julian Gollop, Alex Garden, Homeworld, Dan Stansfield, Castle Falkenstein, Secret Weapons of the Luftwaffe, Minecraft, mors, LostLake, Kaeon, bvron, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: Back to Fez Notes: Julio Jerez appears to be from Dominican Republic Twitch Discord DevGameClub@gmail.com

סימולטורים הם ז'אנר מוכר, ידוע ואהוב בעולם משחקי המחשב וכמה מהם נחשבים לאבני דרך של ממש בהיסטוריה של הגיימינג. אני מדבר על Microsoft Flight Simulator, אני מדבר על The Sims ואני מדבר על SimCity.SimCity הושק ב-1989 והוא היה משחק משונה - משחק שאי אפשר היה לנצח או להפסיד בו - ועדיין הוא כבש את העולם בסערה. הוא נמכר במיליוני עותקים ונחשב למשחק חינוכי, משחק שההורים קנו אותו לילדים שלהם. הוא הוכנס לתוכניות הלימודים ברחבי ארה"ב וזמן קצר אחרי שנחת על המדפים פורסם עליו מאמר אקדמי שעסק בקשר בין המשחק לתכנון עירוני אמיתי.אבל הסיפור על SimCity הוא לא רק סיפור על משחק מחשב. הוא מקפל בתוכו לקח שעוסק בקשר בין מציאות להדמיה. הוא עוסק בשאלה מה קורה כאשר היוצר של הסימולטור מתייחס אליו בסוג של שעשוע בזמן שמי שמשחק בו מתייחס אליו ברצינות גמורה. הוא גם עוסק בשאלה מה קורה כאשר הנחות המוצא הסמויות שהוטמעו במשחק משפיעות על דור שלם של מקבלי החלטות וגם של מתכנני ערים, ערים שבתוכם מתגוררים מיליונים רבים של אנשים?זהו סיפורו של SimCity, אחד הסימולטורים המשפיעים בהיסטוריה.  קישורים:הנביא של התוצאות הבלתי צפויותhttps://www.strategy-business.com/article/05308סימולטור לכל דברhttps://obscuritory.com/sim/when-simcity-got-seriousריאיון עם המעצב הראשי של SimCityhttps://www.theatlantic.com/technology/archive/2013/05/the-philosophy-of-simcity-an-interview-with-the-games-lead-designer/275724

סימולטורים הם ז'אנר מוכר, ידוע ואהוב בעולם משחקי המחשב וכמה מהם נחשבים לאבני דרך של ממש בהיסטוריה של הגיימינג. אני מדבר על Microsoft Flight Simulator, אני מדבר על The Sims ואני מדבר על SimCity.SimCity הושק ב-1989 והוא היה משחק משונה - משחק שאי אפשר היה לנצח או להפסיד בו - ועדיין הוא כבש את העולם בסערה. הוא נמכר במיליוני עותקים ונחשב למשחק חינוכי, משחק שההורים קנו אותו לילדים שלהם. הוא הוכנס לתוכניות הלימודים ברחבי ארה"ב וזמן קצר אחרי שנחת על המדפים פורסם עליו מאמר אקדמי שעסק בקשר בין המשחק לתכנון עירוני אמיתי.אבל הסיפור על SimCity הוא לא רק סיפור על משחק מחשב. הוא מקפל בתוכו לקח שעוסק בקשר בין מציאות להדמיה. הוא עוסק בשאלה מה קורה כאשר היוצר של הסימולטור מתייחס אליו בסוג של שעשוע בזמן שמי שמשחק בו מתייחס אליו ברצינות גמורה. הוא גם עוסק בשאלה מה קורה כאשר הנחות המוצא הסמויות שהוטמעו במשחק משפיעות על דור שלם של מקבלי החלטות וגם של מתכנני ערים, ערים שבתוכם מתגוררים מיליונים רבים של אנשים?זהו סיפורו של SimCity, אחד הסימולטורים המשפיעים בהיסטוריה.  קישורים:הנביא של התוצאות הבלתי צפויותhttps://www.strategy-business.com/article/05308סימולטור לכל דברhttps://obscuritory.com/sim/when-simcity-got-seriousריאיון עם המעצב הראשי של SimCityhttps://www.theatlantic.com/technology/archive/2013/05/the-philosophy-of-simcity-an-interview-with-the-games-lead-designer/275724

Seit Release hat Micha knapp 600 Stunden in Cities: Skylines 2 verbracht - allen Bugs und Problemen zum Trotz. Was ihm daran Spaß macht - und warum das Spiel jetzt deutlich besser ist.

What is a simulation? Are simulations games? A look at simulations such as SimCity, Micropolis, and Conway’s Game of Life. Links and Notes Demo source code – https://github.com/levidsmith/KnoxGameDesign/blob/master/simulations/conway/conway.c Micropolis source code – https://github.com/SimHacker/micropolis MicropolisJS – https://www.graememcc.co.uk/micropolisJS/ LifeWiki (Conway’s Game of Life) – https://conwaylife.com/wiki/Main_Page djgpp – https://www.delorie.com/djgpp/ Podcast theme music – Ride by Pocketmaster

This week Michael Farr brings you two segments of the FarrCast with a dive into the latest from the Trump Administration with Dan Mahaffee and latest in the investing world with Jim Lebenthal.Whether the changes are to be eternally endured or eternally enjoyed -- we are here to help you sort out the signal from the noise. It's The FarrCast -- Wall Street, Washington, and The World.

You're listening to a free preview of Retronauts Episode 673: SimCity 2000. To hear the rest, and get two exclusive extra episodes every month, access to our previous Patreon-exclusive episodes, and early access to ad-free podcasts, please visit the official Retronauts Patreon at patreon.com/retronauts.

Imagine um paraíso tropical onde bilionários do Vale do Silício podem brincar de SimCity na vida real, sem Estado, sem impostos e com suas próprias regras. O que era vendido como um “experimento de liberdade” virou um barril de pólvora com o governo hondurenho, moradores locais revoltados e um processo bilionário. No episódio de hoje, mergulhamos nesse sonho molhado do anarcocapitalismo que tá mais pra pesadelo distópico.Fonte: bloomberg.com/news/features/2025-02-13/a-honduras-dream-city-now-faces-11-billion-political-dispute Loja do Vira: umapenca.com/viracasacasApoie o Vira: apoia.se/viracasacas

【リスナー調査】フォームはこちら：https://forms.gle/vSw16cg8aAZhkqd37期限：2月28日（金）23:59まで対象：全リスナー＜目次＞(0:00) 身近にもあるシュミレーション(2:40) SimCityシリーズの開発秘話(11:04) ウーブン・シティの雑談的感想(14:21) 日系企業からもオファーがあった自社カスタマイズSimCity(19:38) AIとシュミレーションの相性の良さ(23:48) 宮武さん母校の起業家講座の学び(36:01) AIエコノミストやAIのVCアソシエイト(40:01) ウォーゲームとあり得ないシナリオ(45:20) Lux Capitalのリスクゲーミング(58:41) NVIDIAジェンセンのシュミレーション論(01:02:04) 恋愛シュミレーションのプロは現実でもプロか＜参照リンク＞https://offtopicjp.notion.site/255-180c8b57e1148082b56af5fc85577831?pvs=4＜About Off Topic＞Podcast:Apple - https://apple.co/2UZCQwzSpotify - https://spoti.fi/2JakzKmOff Topic Clubhttps://note.com/offtopic/membershipX - https://twitter.com/OffTopicJP草野ミキ:https://twitter.com/mikikusanohttps://www.instagram.com/mikikusano宮武テツロー: https://twitter.com/tmiyatake1

This week's full broadcast of Computer Talk Radio includes - 00:00 - Nerd news for normal people - Deepseek, AI, Disney, space, Starliner, AppleCare, speeding - 11:00 - Solar Panel Payoff in how long - Benjamin works solar panel numbers and it's not pretty - 22:00 - SIMs and Maxis games - Keith and Benjamin talk about The Sims, SimCity, and more - 31:00 - Marty Winston's Wisdom - Marty extols Asus Zenbook Duo UX8406 dual screen notebook - 39:00 - Scam Series - CAPTCHA scam - Benjamin says extra hoops in this CAPTCHA scam are a sign - 44:00 - Keske on technology backdoors - Steve and Benjamin discuss technology backdoors over years - 56:00 - Listener Q&A - disappointing tech - Brian asks of most disappointing tech over last 40 years - 1:07:00 - Listener Q&A - digital nomad - Amy asks Benjamin if digital nomad lifestyle still workable - 1:16:00 - IT Professional Series - 314 - Benjamin concludes IT burnout with advise of how to handle - 1:24:00 - Listener Q&A - flash drive lifespan - James asks if flash drive is dependable for long term storage

The boys give props to Erik for being a great stand up comic, give their Super Bowl predictions and talk the new OJ Simpson documentary, Chris on the SHUDDER horror movie app, Katt Williams on Theo Von's podcast, crowd work comedy, Sim City and much more! Get two extra episodes every month at https://patreon.com/thegoldenhourpodcast DraftKings - Download the DraftKings Sportsbook app and use code GOLDEN.

The debut of ‘The Sims' happened on this day, February 4th, 2000. Will Wright (‘Sim City') developed an initial concept which revolved around architecture - but soon the Sims themselves proved to be the most captivating aspect of the gameplay. Unlike other avatars, The Sims lived full lives with jobs, hobbies, relationships, and even their own language, Simlish. Despite initial scepticism from publisher EA (due to the game's perceived mundanity and lack of interest to boys) The Sims sold 8 million copies, and millions more in Extension Packs; and, beyond its success, was praised for its humour, soundtrack, and commitment to self-expression. In this episode, The Retrospectors reveal how same-sex relationships have always been part of the Sims appeal; explain how the game's sequels pulled off the ultimate in-game meta twist; and uncover how its predecessor Sim City evolved from conventional game design… Further Reading: • ‘The Way We Live Now: Questions for Will Wright; How to Win at Life' (The New York Times, 1999): https://www.nytimes.com/1999/10/31/magazine/the-way-we-live-now-10-31-99-questions-for-will-wright-how-to-win-at-life.html?searchResultPosition=5 • ‘Sex and the Sim city: welcome to a whole new world' (The Times, 2004); https://www.thetimes.co.uk/article/sex-and-the-sim-city-welcome-to-a-whole-new-world-nt27s3t6tf8 • ‘The History Of The Sims' (GameSpot, 2017): https://www.youtube.com/watch?v=E7HwKKyUecs Join 

It's another New Cool, the Wide Flank show where Alon and Sean bring each other a New and/or Cool gaming-adjacent topic to talk about! In this episode, Sean takes us on a musical journey through Soyo Oka's work, focused mostly on her contributions to SimCity, and Alon encourages everyone to spend more time hanging out IRL. Coming soon we'll have the Game Club for Indiana Jones and the Great Circle and a Dev Talk too, stay tuned :). Support us, get extra content, and help us pay for games and stuff at: https://www.patreon.com/wideflank Join the Wide Flank discord!!! https://discord.gg/ACbDjNhMpJ All Wide Flank links: https://linktr.ee/wideflank

Sign Up or Manage Your Membership Air Date: 12-6-24 Today, Jay!, Amanda, Deon and Erin discuss: - The political origins of SimCity and how capitalism warps our choices - A new video game offering a very different vision of societal management - Naomi Klein's insights on the Left's missteps responding to the Mirror World - Applying cynicism and skepticism in moderation FOLLOW US ON:  Bluesky: https://bsky.app/profile/bestoftheleft.bsky.social Mastadon: https://mastodon.social/@bestoftheleft@mstdn.social Instagram: https://www.instagram.com/bestoftheleft/ Facebook: https://www.facebook.com/BestOfTheLeft/ YouTube: https://www.youtube.com/@BestOfTheLeft/ Nostr public key: npub1tjxxp0x5mcgl2svwhm39qf002st2zdrkz6yxmaxr6r2fh0pv49qq2pem0e REFERENCES: SimCity Isn't a Model of Reality. It's a Libertarian Toy Land Build-a-Brrr Naomi Klein on her doppelganger (and yours) Be Like Claud Cockburn: Tell Truths to the Masses   Join our Discord Server Leave a message at 202-999-3991 Produced by: Jay! Tomlinson Thanks for listening! ugf9dzuv Visit us at BestOfTheLeft.com Follow at Twitter.com/BestOfTheLeft Like at Facebook.com/BestOfTheLeft  Contact me directly at Jay@BestOfTheLeft.com  Review the show on Apple Podcasts!

Host Kevin Bunch is joined by author and historian Chaim Gingold to talk about SimCity and the winding road that led to its creation with his new book Building SimCity. Retronauts is made possible by listener support through Patreon! Support the show to enjoy ad-free early access, better audio quality, and great exclusive content. Learn more at http://www.patreon.com/retronauts