Podcast appearances and mentions of julian togelius

Julian Togelius is an associate professor of computer science at New York University. His research lies at the intersection between computational intelligence and games, and he is currently focused on using evolutionary algorithms to generate levels, maps, or game rules. In addition, he has worked on a wide variety of problems related to evolutionary reinforcement learning, and he is the author of a forthcoming book on artificial general intelligence through MIT. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of The AUXORO Podcast, Julian Togelius and Zach discuss the future of Artificial Intelligence, Chat GPT and the technology of large language models, how Julian is using video games to evolve AI agents, when AI will become conscious, and the most dangerous AI company in the world. Guest Bio: Julian Toeglius is an Associate Professor Of Computer Science at NYU who focuses on artificial intelligence and games.  JULIAN TOGELIUS LINKS:NYU bio: https://engineering.nyu.edu/faculty/julian-togeliuswebsite: http://julian.togelius.com/Research: https://bit.ly/49yKQtu THE AUXORO PODCAST LINKS:Apple: https://apple.co/3B4fYju Spotify: https://spoti.fi/3zaS6sPOvercast: https://bit.ly/3rgw70DYoutube: https://bit.ly/3lTpJdjAUXORO Premium: https://auxoro.supercast.com/Website: https://www.auxoro.com/ AUXORO SOCIAL LINKS:Instagram: https://www.instagram.com/auxoroYouTube: https://bit.ly/3CLjEqFFacebook: https://www.facebook.com/auxoromagNewsletter: https://www.auxoro.com/thesourceYouTube: https://bit.ly/3CLjEqF To support the show, please leave a review on Spotify and Apple Podcasts. This nudges the algorithm to show The AUXORO Podcast to more new listeners and is the best way to help the show grow. It takes 30 seconds and the importance of getting good reviews cannot be overstated. Thank you for your support:Review us on Apple Podcasts: https://bit.ly/458nbhaReview us on Spotify: https://bit.ly/43ZLrAt 

Julian Togelius is an Associate Professor of Computer Science at NYU working on artificial intelligence. He uses AI to make games more sophisticated, and he uses video games to develop smarter AI's. Today we discuss the ethics of open AI, why AI Could destroy humanity, and what we can do to stop it.00:00 Intro00:40 Building AI to understand the mind04:54 Deep learning doesn't understand truth07:14 Gaming helped Ai development09:11 Meta's AI + computation speed v Brain14:12 Latest AI + diffusion model & control18:42 Language models + sophisticated guessing game24:42 Understanding Artificial General Intelligence34:25 Consciousness47:32 ChatGPT is LARPing + Where does responsibility lie?53:36 Evolving + video games + survival01:01:28: Desire to propagate + immortality01:11:01 Using Super Mario for AI + Games in tutorial01:35:42 AI playing chess + game rule sets01:45:36 Creating AI curiosity, evolution & playing01:55:58 Deep connection between gaming + AI01:56:56 Concerns about AI + printing press impact02:02:27 “WarGames” best film about AI02:08:47 AI aligning with humans' best interests02:14:21 Centralized planning doesn't work02:19:06 OpenAI is hypocritical + should dissolve02:22:15 People will destroy humanity not AI02:24:09 Positivity impact of AI - education02:27:04 Understanding truthfulness02:28:50 Perfectly unique Media experiences02:30:59 Innovations - videos, mining/oil extraction

Julian Togelius is an Associate Professor of Computer Science and Engineering at NYU, and Cofounder and research director at modl.ai  Featured References  Choose Your Weapon: Survival Strategies for Depressed AI AcademicsJulian Togelius, Georgios N. YannakakisLearning Controllable 3D Level GeneratorsZehua Jiang, Sam Earle, Michael Cerny Green, Julian TogeliusPCGRL: Procedural Content Generation via Reinforcement LearningAhmed Khalifa, Philip Bontrager, Sam Earle, Julian TogeliusIlluminating Generalization in Deep Reinforcement Learning through Procedural Level GenerationNiels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi

Support us (and please rate on podcast app) https://www.patreon.com/mlst In this show tonight with Prof. Julian Togelius (NYU) and Prof. Ken Stanley we discuss open-endedness, AGI, game AI and reinforcement learning. [Prof Julian Togelius] https://engineering.nyu.edu/faculty/julian-togelius https://twitter.com/togelius [Prof Ken Stanley] https://www.cs.ucf.edu/~kstanley/ https://twitter.com/kenneth0stanley TOC: [00:00:00] Introduction [00:01:07] AI and computer games [00:12:23] Intelligence [00:21:27] Intelligence Explosion [00:25:37] What should we be aspiring towards? [00:29:14] Should AI contribute to culture? [00:32:12] On creativity and open-endedness [00:36:11] RL overfitting [00:44:02] Diversity preservation [00:51:18] Empiricism vs rationalism , in gradient descent the data pushes you around [00:55:49] Creativity and interestingness (does complexity / information increase) [01:03:20] What does a population give us? [01:05:58] Emergence / generalisation snobbery References; [Hutter/Legg] Universal Intelligence: A Definition of Machine Intelligence https://arxiv.org/abs/0712.3329 https://en.wikipedia.org/wiki/Artificial_general_intelligence https://en.wikipedia.org/wiki/I._J._Good https://en.wikipedia.org/wiki/G%C3%B6del_machine [Chollet] Impossibility of intelligence explosion https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec [Alex Irpan] - RL is hard https://www.alexirpan.com/2018/02/14/rl-hard.html https://nethackchallenge.com/ Map elites https://arxiv.org/abs/1504.04909 Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space https://arxiv.org/abs/1912.02400 [Stanley] - Why greatness cannot be planned https://www.amazon.com/Why-Greatness-Cannot-Planned-Objective/dp/3319155237 [Lehman/Stanley] Abandoning Objectives: Evolution through the Search for Novelty Alone https://www.cs.swarthmore.edu/~meeden/DevelopmentalRobotics/lehman_ecj11.pdf

Today's guest is Dr. Julian Togelius, professor of Computer Science and Engineering at New York University. Julian has a Ph.D. in Computer Science from the University of Essex and is also a Co-Founder of modl.ai, a firm based in Denmark focused on developing AI and ML-based tools to advance game development. Today, Julian shares his ideas about the interesting intersection of gaming and artificial intelligence. He also discusses how the VR and augmented reality environments enhanced by AI might affect or alter our day-to-day lives in both the short- and long-term future. Download our white paper “3 Ways to Discover AI Trends” at emerj.com/t3.

An interview with Professors Julian Togelius and Sebastian Risi about their new survey paper "Increasing generality in machine learning through procedural content generation", their work at modl.ai, and more!Subscribe: RSS | iTunes | Spotify | YouTubeCheck out coverage of similar topics at www.skynettoday.comTheme: Deliberate Thought Kevin MacLeod (incompetech.com)

Julian Togelius is an Associate Professor at New York University, where he co-directs the NYU Game Innovation Lab. His research is at the intersection of computational intelligence and computer games. His PhD thesis is titled "Optimization, Imitation, and Innovation: Computational Intelligence and Games", which he completed in 2007. We cover his work in the thesis on AI for games and games for AI, and how it connects to his recent work on procedural content generation. Episode notes: https://cs.nyu.edu/~welleck/episode5.html Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html Support The Thesis Review at https://www.buymeacoffee.com/thesisreview

For research topics, Andy and Dave discuss the task-agnostic self-modeling machine from Columbia University, a robotic arm that learns to build an approximate model of itself and then interact with the world; they also discuss the over-hyped reporting of the research. A much less hyped, but possibly more groundbreaking research from MIT results in a robot that can play the tower-block game Jenga, using multisensory fusion to do so. More research from MIT attempts to synthesize probabilistic programs for automatic data modeling. Research from the University of Tubingen shows that approximating convolutional neural nets with bag-of-local-features modeling yields decent results with ImageNet. And University of Washington and the Allen Institute for AI announce the Atlas of Machine Commonsense (ATOMIC), a collection of 877k textual descriptions of inferential knowledge, which allows more accurate inference for previously unseen events. In announcements of the week, DARPA announces the Competency-Aware Machine Learning (CAML) program for ML systems to assess their own performance; and Measuring Biological Aptitude (MBA) attempts to link genotype to phenotype in order to improve recruiting, training, and other aspects. The U.S. Navy’s Sea Hunter drone ship completes an autonomous trip from San Diego to Hawaii and back. The “Papers with Code” archive attempts to collect and link ML-related papers, code, and evaluation tables. The U.S. Army activates its AI Task Force at Carnegie Mellon. And the International Conference on Learning Representations (ICLR) 2019 has been announced for 6-9 May 2019. In media of the week, the World Intellectual Property Organization releases its report on the Technology Trends of 2019; the AMA Journal of Ethics publishes an entire (open-access) issue devoted to AI in health care; the Congressional Research Service updates its report on AI and National Security; Dan Simmons provides a hefty tome on Evolutionary Optimization Algorithms; and Julian Togelius publishes a book on Playing Smart. Wake Word is the Game of the Week, and in videos, Super Bowl ads provided a variety of glimpses into life with robots.

In this episode of Eye on AI, I talk to Julian Togelius,  perhaps the most prolific researcher at the intersection of video games and artificial intelligence. Julian works on AI for games and games for AI. Some of his most significant work is in training deep neural networks to play video games and generalize what they have learned, a critical step toward artificial general intelligence. For those of you who don't understand the importance of video games to artificial intelligence research, Julian will enlighten you. For those of you who do his recent work will surprise you.  I hope you find Julian as interesting as I did.

Support these videos: http://pgbovine.net/support.htmhttp://pgbovine.net/PG-Vlog-161-formal-vs-informal-research-1.htm[YouTube playlist for this video series](https://www.youtube.com/playlist?list=PLzV58Zm8FuBINl1vnkO_gA43jh6wVOZPE)- [DS.js paper from my lab](http://pgbovine.net/dsjs-paper.htm) (an example of academic software research)- [The independent researcher](https://nadiaeghbal.com/independent-research) by Nadia Eghbal- [The differences between tinkering and research](http://togelius.blogspot.com/2016/04/the-differences-between-tinkering-and.html) by Julian Togelius- [My Twitter thread that inspired this video series](https://twitter.com/pgbovine/status/1013895004438200320) (see my webpage for archived version)(actual recording date was 2018-07-02)Recorded: 2018-07-02 (2)

Support these videos: http://pgbovine.net/support.htmhttp://pgbovine.net/PG-Vlog-162-formal-vs-informal-research-2.htm[YouTube playlist for this video series](https://www.youtube.com/playlist?list=PLzV58Zm8FuBINl1vnkO_gA43jh6wVOZPE)- [The independent researcher](https://nadiaeghbal.com/independent-research) by Nadia Eghbal- [The differences between tinkering and research](http://togelius.blogspot.com/2016/04/the-differences-between-tinkering-and.html) by Julian Togelius- [My Twitter thread that inspired this video series](https://twitter.com/pgbovine/status/1013895004438200320) (see my webpage for archived version)(actual recording date was 2018-07-03)Recorded: 2018-07-02 (3)

Fredrik och Martin värmer upp med lite bråkiga internetuppkopplingar. Sedan blir det sparande av data, serialisering till JSON och YAML, hur Unity kan spara data och att synka data med Molnet. Därifrån kommer vi över på hur fantastiska verktygen för webbutveckling blivit sedan nyss nedlagda Firebug först släpptes. Fredrik rapporterar lite också från Øredev vilket leder till undran och förundran kring blockkedjor och AI. Är blockkedjor mycket väsen för en datastruktur? Förstår folk (vi och alla andra) egentligen varför blockkedjor är så i ropet? Vi avslutar med att snacka AI som spelar spel, och en förhoppning att i framtiden kunna generera avsnitt av Kodsnack med AI (eller åtminstone Markovkedjor). Avsnittet sponsras till vår stora glädje av Sveriges andra IT-tätaste stad, nämligen Växjö! Läs allt om Växjö och alla IT-jobb i staden på itjobbivaxjo.se! Ett stort tack till Cloudnet som sponsrar vår VPS! Har du kommentarer, frågor eller tips? Vi är @kodsnack, @tobiashieta, @iskrig, @itssotoday och @bjoreman på Twitter, har en sida på Facebook och epostas på info@kodsnack.se om du vill skriva längre. Vi läser allt som skickas. Gillar du Kodsnack får du hemskt gärna recensera oss i iTunes! Länkar Thimbleweed park Thimbleweed parks utvecklingsblogg Hur Thimbleweed park fick sparande av spel Ron Gilbert Black & White Peter Molyneux Unity Hot reloading Generics JSON YAML MVC - Modeel-view-controller Twofold Rymdkapsel Clear Icloud core data - numera avskaffat React Flux Redux Chrome-verktygen för Redux Firebug Firebug är nedlagt - länge leve Firebug Firefox quantum Att logga med mer stil i webbläsarens Javascriptkonsoll Slagthuset Presentationen om blockkedjor Fredrik tänkt se, mer specifikt Ethereum Ethereum Proof-of-work Proof-of-stake Julian Togelius presentation om att utveckla AI genom spelande OpenAI Dota 2 NES-spelande AI Markovkedjor Titlar Du pysslar med data Att spara saker Vad jag gör av mitt state Det luktar lite XML om det Åh, vilken fin klass du har gjort De bor i data-land Samma korruption överallt Fattigmans cloud saves Helt vanliga tama JSON-strukturer Det fanns en tid då Firebug inte fanns Mycket väsen för en datastruktur Vad tror man egentligen när någon säger blockkedja? Skriva dagbok ut i rymden

Vårt etthundrade avsnitt med vår särskilde gäst och vän Christian Åhs. 05:29: Jocke tvingar Fredrik att starta iTunes 10:45: Hassel - en helhjärtad sågning 15:56: Bamseskum 16:29: Löpning med Apple watch 21:51: Det mest lyssnade avsnittet 25:20: Långa avsnitt 27:16: Hur podden började 30:32: Diabetes och världsdiabetesdagen 39:43: Google och filtrering av sökresultat 53:03: Hur man använder Xservrar 57:28: Företagspodd mot betalning 1:13:10: Øredev och Imogen Heaps handskar 1:21:07: Vad tycker lyssnarna om podden? 1:41:11: Burgarsnack och annat i podden 1:48:44: Det är svårt att få tidningar gjorda Länkar Christian Åhs Byword Vi har vapen, vi har planer Resan till Melonia Datormagazin retro #2 Hassel Bamesmums Fredriks inlägg om ringarna VO2-max Rådanäs ekologisk vinterbajer Ostindiska ölkompaniet Naanpizza Appsnack Avsnitt 12: Accidental Appsnack Avsnitt 50: En vallgrav runt pixel Avsnitt 60: Intryck från Östersund Avsnitt 79: Ett Wii i Spånga Avsnitt 92: 99-allt möjligt Avsnitt 1: Alla borde ha en Amiga Världsdiabetesdagen - 14 november Viafree Ett beställningsjobb från TCO - Avsnittet där vi pratade om glukosmätare CGM - kontinuerlig glukosmätare Nightscout USB-OTG Dexcom Open APS Google jobbar på kontaktlins som mäter blodsocker “Är det dags att sluta lita på Google?” GDPR Chill in - Två feta grisar Unraid på Xserve Cisco-väntmusik Businesspodden Stajlplejs Øredev Slagthuset Imogen Heap Imogens coola handskar Julian Togelius presentation om att utveckla AI för att spela och utveckla spel har inte släppts än Det AI-designade spelet, nämns i videon som inte släppts än Dugges Avenyn ale Nörd:igt “Jobbpodden” - Under utveckling Microsoft är värda en chans Saker min far lärt mig - julmatsavsnittet år 2015 Steve Jobs-filmen Skånsk mögrouter 99% invisible Welcome to Macintosh Hindenburg En podd om teknik Korv united Kjell Yoda Jag har fortfarande läsk i mitt tangentbord Becksvart, jättesvart och gagatsvart Trailern för säsong 2 av Westworld Star wars julspecial Tolkienpodden Fullständig avsnittsinformation finns här: https://www.bjoremanmelin.se/podcast/avsnitt-100-data-data-data-ol-ol-data-data-data.html.

An excellent podcast with NYU Associate Professor of Computer Science and Engineering, Julian Togelius.

It's more common to ask what AI can to do to win at games, but it's less common to ask what games can do to help develop AI. This is a particularly fitting topic after Google's DeepMind's defeat of Go, and in this episode we talk with New York University's Julian Togelius about his research in how games can help us develop AI. We discuss how simple AI has been used in more common video games; the ‘smoke and mirrors' effect that is more often used to mimic AI; and the more innovative ways that AI are being used in gaming at present, setting precedents for the future role of AI in gaming.