Podcasts about Marble

For 40 years, sculptor M.J. Anderson has been making annual trips from her home on the Oregon coast to Carrara, Italy. She spends up to three months there, traveling along a winding road to quarries with towering walls of marble, the same kind of stone that was used to create Michelangelo’s sculpture of David and other timeless works of Renaissance art.    But Anderson isn’t interested in recreating classical, idealized representations of masculine or feminine beauty. Instead, a unifying theme of Anderson’s work is “the distillation of what it feels like to be woman.” Starting at her studio in Carrara, she uses grinders and air hammers to carve torsos evoking the female form out of massive blocks of marble, onyx and travertine. The pieces are then shipped, unfinished, to Anderson’s studio in Nehalem where she polishes them while retaining drill marks and other raw reminders of the stone’s past and its “power.” We talked with Anderson on Sep. 13, 2025 about her artistic process and the themes she explores in her work.  

This was recorded on a clear spring night under a full moon beside Summit Meadow Lake in Marble Mountains Wilderness, Klamath National Forest, Siskiyou County, California. I recorded this tree ears style, in which a mic is placed on either side of the trunk of a tree, in this case a Red Fir. Though I recorded all night, this part of the recording is from the wee hours of the night when the frog chorus was starting to die down.

Kev LeStarge is appearing on the show for the very first time. He is an author of Sasquatch and lifelong explorer who's spent decades chasing one of the greatest enigmas in paranormal history not to prove it, but to understand it. Kevin's story began in the woods of Wisconsin, where a childhood fascination with Bigfoot grew into a life of exploration, reflection, and storytelling. His experiences blend real-world adventure with deep insights about why humans are drawn to the unknown, and how those mysteries can teach us about ourselves, our fears, and our need to believe.In this chat here are some of the discussion topics that come up:- Kevin's childhood fascination with the subject- Cryptid lore in the state of Wisconsin- Some of his experiences on Sasquatch expeditions- Why he decided to write children's books about this subject- How discussing the unexplained with our children will be vital to how they interact with it growing up in today's ever changing world- Portrayal of cryptids on The X-Files- Gifting exchanges w/ Sasquatch...including Phil's mysterious marble..Kevin has a hot take on this finding...to be continued!Plus so much more...Check out Kev's books here:https://www.amazon.com/Billy-Bigfoot-Childrens-Hangar-Publishing-ebook/dp/B0CNFCRS3G/ref=sr_1_1?dib=eyJ2IjoiMSJ9.4VouYlqzz-DwBiXhqbePng.SCP1khQuEsRdEalTiDRrjc_yN-Ba03Lu6y8Kbg2bocI&dib_tag=se&qid=1755281168&refinements=p_27%3AKev+LeStarge&s=digital-text&sr=1-1&text=Kev+LeStargeGive Kev a follow on Instagram here:https://www.instagram.com/thebigfootarchive/Watch this episode on Rumble here:https://rumble.com/user/UnexplainedincConnect with Unexplained Inc. here:https://www.unexplainedinc.com

Marble's head sommelier, Wikus Human and Investec's Roy van Eck, discuss what to consider when graduating from casual wine purchaser to wine collector. Together with host Palesa Mapheelle, they explain how to identifying age-worthy vintages, and the risks and rewards of investing in wine to make a financial return. They also share their personal journeys into wine, what mistakes they they've made along the way, and why South African wines may still represent an undervalued opportunity. KEY MOMENTS: 00:00: Introduction to Wine in Focus 00:38 Recognising the storms in Western Cape Winelands 00:58: Introduction to guests 01:56: The start of the wine journey for Wikus and Roy 04:02: Collecting wine for investment or consumption 05:00: How do you know that a wine is worth aging? 06:08: How sommeliers keep personal tastes at bay 07:03: Never buy one bottle at a time: Lessons on purchasing 08:00: The risks associated with investing in wine 09:51: Liv-Ex Fine Wine 1000 Index: Wine returns on the sharp decline 11:11: The reason behind falling wine prices 13:17: “En primeur” explained: buying wine still in the barrel 15:29: Wine regions and wine varietals worth noting 17:22: 2014 and 2023 deemed poor vintages but not across the board 17:44: SA offers quality and affordability 19:22: A sommelier's observations on changing wine behaviour 20:50 When to drink a wine and when to hold onto it? 21:57: The future of SA's wine market 23:49: One wine moment that Wikus and Roy will never forget 26:46: Outro Wine in Focus series page · Investec Focus Radio SA

A look at the game of marble hunting.

Voodoo wasn't supposed to be making this kind of money. For years their entire portfolio sat at sub-$100K/day games — Mob Control, Cap Heroes, the usual hyper-casual treadmill. Then something switched in early 2026 and now they're suddenly running at $1M/day in IAP across the portfolio. The flag-bearer for the new era is Marble Sort.We dig into Marble Sort by Voodoo — a sort-category puzzler that scaled from launch in February to $200K/day in IAP plus $52K/day in ad revenue by March. The conversation covers the sorter-category explosion (Pixel Flow's Scopely acquisition for close to $1B set the precedent), the 800-1,100 creatives running on AppLovin and what they tell us about Voodoo's creative production discipline, the level-design and APS-curve methodology that Tripledot-style studios actually use, why this game could be just a mini-game inside Royal Match (and why that matters), and the bigger story underneath: Voodoo just launched a mid-core PvP studio led by ex-Kameli Games French founders, signaling a serious IPO push in the next 1-2 years.If you want to understand the Voodoo renaissance — or just figure out why Jakub keeps insisting "the sort category is the new hot shit" — this is the episode.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS00:00 Cold open — Voodoo is suddenly doing $1M/day in IAP02:24 The sorter category is the new hot shit (and why)05:36 The Voodoo portfolio renaissance — Castle Clashers + Marble Sort08:56 Walking the game — sorting mechanics, level curve, no live-ops yet13:40 The level design metrics — APS curve, booster win ratio17:38 32% ad revenue + $52K/day = roughly $250K/day total19:59 800-1,100 creatives in 30 days — AI + gameplay + AppLovin altered videos28:33 Voodoo's new mid-core PvP studio + the IPO setup--------------------------------------PVX Partners offers non-dilutive funding for game developers.Go to: https://pvxpartners.com/They can help you access the most effective form of growth capital once you have the metrics to back it.- Scale fast- Keep your shares- Drawdown only as needed- Have PvX take downside risk alongside you+ Work with a team entirely made up of ex-gaming operators and investors---------------------------------------For an ever-growing number of game developers, this means that now is the perfect time to invest in monetizing direct-to-consumer at scale.Our sponsor FastSpring:Has delivered D2C at scale for over 20 yearsThey power top mobile publishers around the worldLaunch a new webstore, replace an existing D2C vendor, or add a redundant D2C vendor at fastspring.gg.---------------------------------------This is no BS gaming podcast 2.5 gamers session. Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let's not forget this is a 4 a.m. conference discussion vibe, so let's not take it too seriously.Panelists: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Felix Braberg, Matej Lancaric⁠Podcast: Join our slack channel here: https://join.slack.com/t/two-and-half-gamers/shared_invite/zt-3bckldvr8-8PXvzciMWdheOzED9hq0SAChapters---------------------------------------Matej LancaricUser Acquisition & Creatives Consultant⁠https://lancaric.meFelix BrabergAd monetization consultant⁠https://www.felixbraberg.comJakub RemiarGame design consultant⁠https://www.linkedin.com/in/jakubremiar---------------------------------------Please share the podcast with your industry friends, dogs & cats. Especially cats! They love it!Hit the Subscribe button on YouTube, Spotify, and Apple!Please share feedback and comments - matej@lancaric.me

In the second episode of DeepDive SpaceTech, a special series of the DeepDive CleanTech Podcast, David Wortmann speaks with Gopika Suresh, Co-Founder and Chief Strategy Officer of Marble Imaging. Marble Imaging is building a European constellation of multispectral satellites designed to provide high-resolution Earth observation data and help close a strategic gap in Europe's SpaceTech ecosystem. Why are satellite images becoming increasingly important for security, climate action, disaster response and infrastructure monitoring? Why are existing programmes such as Copernicus not sufficient for every use case? And what does it mean when Europe still depends heavily on non-European providers for high-resolution Earth observation data? Gopika explains how Marble Imaging aims to create new possibilities through high-resolution multispectral Earth observation, short revisit times and dedicated analytics tools. The conversation covers critical infrastructure monitoring, mangrove and coastal protection, terrain analysis for emergency responders, launch capacities, SpaceX, European microlaunchers, space debris, regulation, investors, government anchor customers and why Earth observation is no longer just about “images from space”. An episode about SpaceTech made in Europe, digital sovereignty, climate applications and the growing importance of satellite data for better decisions on Earth.

The City of Johannesburg says it will act on a High Court ruling that dismissed Marble Towers owners' bid to stop the demolition of unlawful trade containers. The court ordered the building to halt illegal construction and submit compliant plans within 20 days. Mayor Dada Morero has welcomed the ruling, saying it strengthens the City's authority to enforce building and fire safety in the inner city. We spoke to Tlou Montja, Director for Litigation Management Services in the City of Johannesburg.

The closure of the Strait of Hormuz is sending shockwaves through global supply chains—particularly across petrochemicals, resins, and other composite manufacturing materials. Joining the podcast this week is Dawn Hersey, Ph.D., a combat veteran and subject matter expert in resilience, stability, and conflict. She owns Ferndon Consulting, an Intelligence firm. Her expertise is in international conflict, geopolitical... The post Discussing the Strait of Hormuz Conflict and Supply Chain Disruptions with Dawn Hersey, PhD. first appeared on Cast Polymer Radio.

Mandy Wiener speaks to EWN Reporter, Jabulile Mbatha about the court bid by the Marble Towers owners to stop their towers from being demolished by the city. The Midday Report with Mandy Wiener is 702 and CapeTalk’s flagship news show, your hour of essential news radio. The show is podcasted every weekday, allowing you to catch up with a 60-minute weekday wrap of the day's main news. It's packed with fast-paced interviews with the day’s newsmakers, as well as those who can make sense of the news and explain what's happening in your world. All the interviews are podcasted for you to catch up and listen to. Thank you for listening to this podcast of The Midday Report Listen live on weekdays between 12:00 and 13:00 (SA Time) to The Midday Report broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk https://buff.ly/NnFM3Nk For more from The Midday Report, go to https://buff.ly/BTGmL9H and find all the catch-up podcasts here https://buff.ly/LcbDdFI Subscribe to the 702 and CapeTalk daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Catch Up on the latest leading news stories around the country with Mandy Wiener on Midday Report from 12:00 to 13:00. The Midday Report with Mandy Wiener is 702 and CapeTalk’s flagship news show, your hour of essential news radio. The show is podcasted every weekday, allowing you to catch up with a 60-minute weekday wrap of the day's main news. It's packed with fast-paced interviews with the day’s newsmakers, as well as those who can make sense of the news and explain what's happening in your world. All the interviews are podcasted for you to catch up and listen to. Thank you for listening to this podcast of The Midday Report Listen live on weekdays between 12:00 and 13:00 (SA Time) to The Midday Report broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk https://buff.ly/NnFM3Nk For more from The Midday Report, go to https://buff.ly/BTGmL9H and find all the catch-up podcasts here https://buff.ly/LcbDdFI Subscribe to the 702 and CapeTalk daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

The City of Johannesburg says it is intensifying efforts to reclaim hijacked and unsafe buildings in the CBD following illegal structures found inside Marble Towers. Law enforcement has also launched a major operation targeting undocumented immigrants and criminal activity in the area. The planned demolition of illegal structures at Marble Towers has been halted after the owners secured an urgent court interdict. Elvis Presslin spoke to MMC for Public Safety and Security in the City of Johannesburg, Moshe Koma

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Mandy Wiener speaks to EWN Reporter, Jabulile Mbatha about the High-Impact Service Delivery Operation in Small Street and Marble Towers lead by Mayor Dada Morero. The Midday Report with Mandy Wiener is 702 and CapeTalk’s flagship news show, your hour of essential news radio. The show is podcasted every weekday, allowing you to catch up with a 60-minute weekday wrap of the day's main news. It's packed with fast-paced interviews with the day’s newsmakers, as well as those who can make sense of the news and explain what's happening in your world. All the interviews are podcasted for you to catch up and listen to. Thank you for listening to this podcast of The Midday Report Listen live on weekdays between 12:00 and 13:00 (SA Time) to The Midday Report broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk https://buff.ly/NnFM3Nk For more from The Midday Report, go to https://buff.ly/BTGmL9H and find all the catch-up podcasts here https://buff.ly/LcbDdFI Subscribe to the 702 and CapeTalk daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Catch Up on the latest leading news stories around the country with Mandy Wiener on Midday Report from 12:00 to 13:00. The Midday Report with Mandy Wiener is 702 and CapeTalk’s flagship news show, your hour of essential news radio. The show is podcasted every weekday, allowing you to catch up with a 60-minute weekday wrap of the day's main news. It's packed with fast-paced interviews with the day’s newsmakers, as well as those who can make sense of the news and explain what's happening in your world. All the interviews are podcasted for you to catch up and listen to. Thank you for listening to this podcast of The Midday Report Listen live on weekdays between 12:00 and 13:00 (SA Time) to The Midday Report broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk https://buff.ly/NnFM3Nk For more from The Midday Report, go to https://buff.ly/BTGmL9H and find all the catch-up podcasts here https://buff.ly/LcbDdFI Subscribe to the 702 and CapeTalk daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Tallest towers. Egg drops. Marble runs. These five challenges use nothing but paper, tape, and cardboard — and they're some of the most engaging engineering activities you can run in the final weeks of school. Listen in to get all five challenges with their criteria and constraints, understand why iteration is the part you can't skip, and hear why building kids' experiences with engineering — even outside your standards — is never wasted time.No budget. No specialty supplies. No excuses. In this episode Nicole walks through five paper, tape, and cardboard STEM challenges you can run in the next few weeks, explains what makes each one real engineering (not just a fun build), and makes the case for why end-of-year activities that fall outside your curriculum standards still matter more than you might think.IN THIS EPISODE:All five challenges — Tallest Tower, The Bridge, Marble Run, Egg Drop, and Windproof Wall — with criteria, constraints, and what kids are actually figuring out in each oneWhy criteria and constraints are what separate a real engineering challenge from just building somethingThe one challenge you should protect extra time for — and why the iteration loop is where the real learning happensWhy the Egg Drop is actually a great entry point for talking about engineering in the real world (think: NASA, limited resources, and what it means when you can't just test again)Why activities outside your standards still build something valuable — and how background knowledge shows up in unexpected places

We’ve got a mom in scolding mode – she may have just caught her child in the act… or she is addressing something that she is NOT happy about. In the middle of her rant, we’ve beeped out the one word that tells you exactly what the child did. Was it something they broke? Touched? Ate? Now You tell us: what’s that word? Hang out with Anele and The Club on 947 every weekday morning. Popular radio hosts Anele Mdoda, Frankie du Toit, Thembekile Mrototo, and Cindy Poluta take fun to the next level with the biggest guests, hottest conversations, feel-good vibes, and the best music to get you going! Kick-start your day with the most enjoyable way to wake up in Joburg. Connect with Anele and The Club on 947 via WhatsApp at 084 000 0947 or call the studio on 011 88 38 947Thank you for listening to the Anele and the Club podcast..Listen live on Primedia+ weekdays from 06:00 to 09:00 to Anele and the Club broadcast on 947 https://buff.ly/y34dh8Y For more from the show go to https://buff.ly/gyWKIkl or find all the catch-up podcasts here https://buff.ly/K59GRzu Subscribe to the 947s Weekly Newsletter https://buff.ly/hf9IuR9 Follow us on social media:947 on Facebook: https://www.facebook.com/947Joburg/ 947 on TikTok: https://www.tiktok.com/@947joburg947 on Instagram: https://www.instagram.com/947joburg947 on X: www.x.com/947 947 on YouTube: https://www.youtube.com/@947JoburgSee omnystudio.com/listener for privacy information.

Bongani Bingwa speaks with Adam Byars, CEO of Grid Worldwide, about the Magical Marble Family Fest, taking place on the 9th and 10th of May at James & Ethel Gray Park in Melrose. From the creators of The Luxurious Marble Circus, it's a brand-new festival of fun, fantasy and family connection. 702 Breakfast with Bongani Bingwa is broadcast on 702, a Johannesburg based talk radio station. Bongani makes sense of the news, interviews the key newsmakers of the day, and holds those in power to account on your behalf. The team bring you all you need to know to start your day Thank you for listening to a podcast from 702 Breakfast with Bongani Bingwa Listen live on Primedia+ weekdays from 06:00 and 09:00 (SA Time) to Breakfast with Bongani Bingwa broadcast on 702: https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/36edSLV or find all the catch-up podcasts here https://buff.ly/zEcM35T Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio7See omnystudio.com/listener for privacy information.

REPLAY! This one was too good to sit in the archives.Interior design has never felt this personal, this practical, or this easy to actually use in your own home.Amy Sherman of Wellness Junkies sits down with her longtime friend and interior designer Zoe Feldman for a conversation that covers a lot of ground, from summer decorating on a budget to the beauty routines of a woman running a 35-person design firm. If you caught this one the first time around, you already know why it is back. If you missed it, you are in for a treat.Zoe's approach to interior design is refreshingly honest. Your home is meant to be lived in, not preserved. Marble etches. Wine spills. That is the point. She talks through the 80/20 rule she uses across every project, 80% quiet canvas, 20% bold statement, and how that same thinking applies to budgets, materials, and the way color works in a space. Natural stone, color-forward kitchens, and organic materials are having a moment, and Zoe breaks down why it all connects to a bigger cultural shift toward authenticity over perfection.She also pulls back the curtain on Demi, her newer service tier built for clients who want serious design talent without the full-service price tag. It is one of the more relatable wellness conversations you will hear from a creative entrepreneur, because it started with Zoe realizing she could not afford herself.The wrap session brings relatable beauty tips. Highlighter every single day. Foundation serum over heavy coverage. Moisturizer as a non-negotiable. These are the low-effort beauty hacks that actually hold up when you are a busy working mom running out the door with a bun and five minutes to spare. As far as beauty routines go, hers is proof that simple and intentional beats are complicated every time.This is one of the best wellness podcasts for women doing the real work of building something while staying grounded. Share it with a friend who needs the reminder that a beautiful life does not have to look perfect.Episode Breakdown:00:00 Meet Interior Designer Zoe Feldman02:01 How Zoe's Design Firm Has Grown03:41 Easy Summer Decorating Tips for Your Home06:39 What It's Really Like to Design Your Own House12:54 Current Home Design Trends Worth Knowing15:10 Why Your Home Should Feel Lived In, Not Perfect17:23 Inside the Demi Project and Color-Forward Kitchens21:16 How Demi Makes Good Design More Accessible28:27 Balancing a Growing Business and Motherhood34:17 How to Make Your Home Feel Calm and Personal36:41 Zoe's Go-To Beauty Hacks and Five-Minute RoutineConnect with Zoe Feldman:Visit Zoe's websiteFollow Zoe on InstagramShop this episode: You know we love to give you the best of the best in wellness products and resources to help you learnmore about our podcast topics. In this week's episode, here are the products and brands that we talked about:ALL PRODUCTSDenimShirts & BlousesLoeffler RandallCharlotte Tilbury | Beauty Light WandCharlotte Tilbury | Hollywood Flawless FilterDIBS | Status Stick - High Road HighlightTypology | Tinted SerumLaneige | Lip Sleeping Mask - BerryPvolve | Total Transformation Bundle⁠⁠⁠⁠⁠For More on this Episode: Read the full show notes ⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠

We’ve got a mom in scolding mode – she may have just caught her child in the act… or she is addressing something that she is NOT happy about. In the middle of her rant, we’ve beeped out the one word that tells you exactly what the child did. Was it something they broke? Touched? Ate? Now You tell us: what’s that word? Hang out with Anele and The Club on 947 every weekday morning. Popular radio hosts Anele Mdoda, Frankie du Toit, Thembekile Mrototo, and Cindy Poluta take fun to the next level with the biggest guests, hottest conversations, feel-good vibes, and the best music to get you going! Kick-start your day with the most enjoyable way to wake up in Joburg. Connect with Anele and The Club on 947 via WhatsApp at 084 000 0947 or call the studio on 011 88 38 947Thank you for listening to the Anele and the Club podcast..Listen live on Primedia+ weekdays from 06:00 to 09:00 to Anele and the Club broadcast on 947 https://buff.ly/y34dh8Y For more from the show go to https://buff.ly/gyWKIkl or find all the catch-up podcasts here https://buff.ly/K59GRzu Subscribe to the 947s Weekly Newsletter https://buff.ly/hf9IuR9 Follow us on social media:947 on Facebook: https://www.facebook.com/947Joburg/ 947 on TikTok: https://www.tiktok.com/@947joburg947 on Instagram: https://www.instagram.com/947joburg947 on X: www.x.com/947 947 on YouTube: https://www.youtube.com/@947JoburgSee omnystudio.com/listener for privacy information.

We’ve got a mom in scolding mode – she may have just caught her child in the act… or she is addressing something that she is NOT happy about. In the middle of her rant, we’ve beeped out the one word that tells you exactly what the child did. Was it something they broke? Touched? Ate? Now You tell us: what’s that word? Hang out with Anele and The Club on 947 every weekday morning. Popular radio hosts Anele Mdoda, Frankie du Toit, Thembekile Mrototo, and Cindy Poluta take fun to the next level with the biggest guests, hottest conversations, feel-good vibes, and the best music to get you going! Kick-start your day with the most enjoyable way to wake up in Joburg. Connect with Anele and The Club on 947 via WhatsApp at 084 000 0947 or call the studio on 011 88 38 947Thank you for listening to the Anele and the Club podcast..Listen live on Primedia+ weekdays from 06:00 to 09:00 to Anele and the Club broadcast on 947 https://buff.ly/y34dh8Y For more from the show go to https://buff.ly/gyWKIkl or find all the catch-up podcasts here https://buff.ly/K59GRzu Subscribe to the 947s Weekly Newsletter https://buff.ly/hf9IuR9 Follow us on social media:947 on Facebook: https://www.facebook.com/947Joburg/ 947 on TikTok: https://www.tiktok.com/@947joburg947 on Instagram: https://www.instagram.com/947joburg947 on X: www.x.com/947 947 on YouTube: https://www.youtube.com/@947JoburgSee omnystudio.com/listener for privacy information.

Last night’s “Fashion is Art” themed Met Gala was one of the most talked about and controversial gatherings in event history. Most notably because Jeff Bezos and his new bride Lauren Sanchez Bezos were this year’s sponsors and honorary co-chairs, reportedly coughing up $10 million. Ticket prices were upwards of $100k, the highest reported number ever, as stars lined the red carpet with looks that ranged from Bad Bunny’s full commitment to theme to Nicole Kidman’s choice to just wear a fabulous dress. There were also several stars who reportedly sat out of last night’s gala in protest of the Bezos.See omnystudio.com/listener for privacy information.

Last night’s “Fashion is Art” themed Met Gala was one of the most talked about and controversial gatherings in event history. Most notably because Jeff Bezos and his new bride Lauren Sanchez Bezos were this year’s sponsors and honorary co-chairs, reportedly coughing up $10 million. Ticket prices were upwards of $100k, the highest reported number ever, as stars lined the red carpet with looks that ranged from Bad Bunny’s full commitment to theme to Nicole Kidman’s choice to just wear a fabulous dress. There were also several stars who reportedly sat out of last night’s gala in protest of the Bezos.See omnystudio.com/listener for privacy information.

Last night’s “Fashion is Art” themed Met Gala was one of the most talked about and controversial gatherings in event history. Most notably because Jeff Bezos and his new bride Lauren Sanchez Bezos were this year’s sponsors and honorary co-chairs, reportedly coughing up $10 million. Ticket prices were upwards of $100k, the highest reported number ever, as stars lined the red carpet with looks that ranged from Bad Bunny’s full commitment to theme to Nicole Kidman’s choice to just wear a fabulous dress. There were also several stars who reportedly sat out of last night’s gala in protest of the Bezos.See omnystudio.com/listener for privacy information.

Last night’s “Fashion is Art” themed Met Gala was one of the most talked about and controversial gatherings in event history. Most notably because Jeff Bezos and his new bride Lauren Sanchez Bezos were this year’s sponsors and honorary co-chairs, reportedly coughing up $10 million. Ticket prices were upwards of $100k, the highest reported number ever, as stars lined the red carpet with looks that ranged from Bad Bunny’s full commitment to theme to Nicole Kidman’s choice to just wear a fabulous dress. There were also several stars who reportedly sat out of last night’s gala in protest of the Bezos.See omnystudio.com/listener for privacy information.

We’ve got a mom in scolding mode – she may have just caught her child in the act… or she is addressing something that she is NOT happy about. In the middle of her rant, we’ve beeped out the one word that tells you exactly what the child did. Was it something they broke? Touched? Ate? Now You tell us: what’s that word? Hang out with Anele and The Club on 947 every weekday morning. Popular radio hosts Anele Mdoda, Frankie du Toit, Thembekile Mrototo, and Cindy Poluta take fun to the next level with the biggest guests, hottest conversations, feel-good vibes, and the best music to get you going! Kick-start your day with the most enjoyable way to wake up in Joburg. Connect with Anele and The Club on 947 via WhatsApp at 084 000 0947 or call the studio on 011 88 38 947Thank you for listening to the Anele and the Club podcast..Listen live on Primedia+ weekdays from 06:00 to 09:00 to Anele and the Club broadcast on 947 https://buff.ly/y34dh8Y For more from the show go to https://buff.ly/gyWKIkl or find all the catch-up podcasts here https://buff.ly/K59GRzu Subscribe to the 947s Weekly Newsletter https://buff.ly/hf9IuR9 Follow us on social media:947 on Facebook: https://www.facebook.com/947Joburg/ 947 on TikTok: https://www.tiktok.com/@947joburg947 on Instagram: https://www.instagram.com/947joburg947 on X: www.x.com/947 947 on YouTube: https://www.youtube.com/@947JoburgSee omnystudio.com/listener for privacy information.

We’ve got a mom in scolding mode – she may have just caught her child in the act… or she is addressing something that she is NOT happy about. In the middle of her rant, we’ve beeped out the one word that tells you exactly what the child did. Was it something they broke? Touched? Ate? Now You tell us: what’s that word? Hang out with Anele and The Club on 947 every weekday morning. Popular radio hosts Anele Mdoda, Frankie du Toit, Thembekile Mrototo, and Cindy Poluta take fun to the next level with the biggest guests, hottest conversations, feel-good vibes, and the best music to get you going! Kick-start your day with the most enjoyable way to wake up in Joburg. Connect with Anele and The Club on 947 via WhatsApp at 084 000 0947 or call the studio on 011 88 38 947Thank you for listening to the Anele and the Club podcast..Listen live on Primedia+ weekdays from 06:00 to 09:00 to Anele and the Club broadcast on 947 https://buff.ly/y34dh8Y For more from the show go to https://buff.ly/gyWKIkl or find all the catch-up podcasts here https://buff.ly/K59GRzu Subscribe to the 947s Weekly Newsletter https://buff.ly/hf9IuR9 Follow us on social media:947 on Facebook: https://www.facebook.com/947Joburg/ 947 on TikTok: https://www.tiktok.com/@947joburg947 on Instagram: https://www.instagram.com/947joburg947 on X: www.x.com/947 947 on YouTube: https://www.youtube.com/@947JoburgSee omnystudio.com/listener for privacy information.

On this episode, Marty Johnson, VP of Product and Technical Fellow at 3D Systems, joins the show to take a clear-eyed look at additive manufacturing materials—what they can do, what they can't, and what engineers should realistically expect when composites and filled materials enter the 3D-printing conversation. The post 268: 3D Printing Boundaries – What Additive Manufacturing Can and Can't Do first appeared on Cast Polymer Radio.

Zac Hulme of Still Spirits Distillery Downtown on Marble, and The North Valley on 4th Street joins TJ to discuss his business's which are Spirit Distilleries. Gin, Whiskey, Vodka, and yes beer are all the subject of conversation including some very delicious mixed drinks made by Zac. All this and more on News Radio KKOBSee omnystudio.com/listener for privacy information.

Adam works with a client who wants to eliminate alcohol from their life and massively reduce sugar. Adam helps them to form new habits linked to positive reinforcement and emotional anchoring. This uses a metaphor of a marble jar as a visual symbol of progress linked to a new identity of healthy habits.

What if everything you've built—your ideas, your leadership, your voice—didn't just disappear once the moment passed?In this episode of Smart Women Talk, host Katana Abbott sits down with Kristin Thomas, founder of Marble Collective, an innovative AI-powered platform designed to preserve, connect, and amplify the work of women leaders.After two decades in luxury real estate, Kristin saw firsthand how even the most accomplished women struggle to stay visible in a world that demands constant self-promotion. Her solution? A centralized platform that captures the full body of a woman's work—podcasts, interviews, articles, and more—making it easy to discover, follow, and learn from inspiring leaders across industries.Together, they explore:Why women's leadership is often overlooked or lost over timeThe hidden cost of constant self-promotionHow mentorship can be scaled to reach thousands—not just a select fewThe role of AI in reshaping visibility, influence, and accessWhy connection—not competition—is the key to advancing womenIf you've ever struggled to stay visible, find mentors, or cut through the noise, this conversation will completely shift how you think about leadership and learning.

Название релиза: XM, Nik&Bit - Marble Дата релиза: 31.12.2025 Тип Релиза: Сингл Жанр: Dance Ссылка на соц сети артиста: vk.com/nifiant Ссылка на BandLink: band.link/XMNikBitMarble Описание Артиста: Евгений Никитин — талантливый российский артист и продюсер, создатель успешных лейблов Music Destinations и Robot Soul Records. Его проекты Nifiant и XM представляют качественную музыку в жанрах Slap House, Dance Pop, Deep House и Club House, завоевывая популярность как в России, так и за рубежом, в том числе на крупных музыкальных платформах и радиостанциях. Описание релиза: Трек "Marble" создает атмосферу легкости и меланхолии и в то же время заряжает энергией, исследуя темы отражения и саморазмышления. Идея заключается в том, чтобы передать ощущение времени, которое проходит, и важность момента. Музыка погружает слушателя в мечтательное состояние, вдохновляя на внутренний поиск и спокойствие.

The conversation covers the introduction of Greenway Village, the challenges and rewards of small business ownership, and the impact of local businesses on the community. It also explores the future plans for expansion and the importance of marketing and social media presence for local businesses.

On this episode, we feature a previous interview with Derek Hill, VP of Syn-Mar Products, Inc. In this interview, Derek shares how he's built a meaningful social media presence for their family-owned business using a smartphone, a $6-per-month editing app, and about an hour a day. This is a simple, consistent strategy that any of our cast polymer... The post 267: What to Post on Social Media When You're Trying to Grow a Real Brand first appeared on Cast Polymer Radio.

[00:00] - Intro [01:00] - What is natural stone? [02:42] - Calcite is a dense form of calcium carbonate [06:24] - Aggressive water seeks calcium, even in natural stone [08:04] - Other natural stones that contain calcium [11:22] - Closing ______________________________Connect with us! Realize your full potential.Watershape University®Water chemistry questions?Orenda®Questions? Comments? Or apply to sponsor the show:ruleyourpool@gmail.com Facebook: @ruleyourpoolYouTube: @rule-your-pool

The Assassination of Huey P. LongJump to the AD-FREE Safe House EditionEpisode 473 takes us to Baton Rouge on the night of September 8, 1935, when a quiet young doctor walked into the Louisiana State Capitol and never walked out. He left no note. No confession. No explanation. Six people who stood beside him — or over him — tell the story he never told.Hear more episodes about ASSASSINATIONS!!!Become a supporter of this podcast: https://www.spreaker.com/podcast/true-crime-historian--2909311/support.You can pay more if you want to, but rent at the Safe House is still just a buck a week, and you can get access to over 400 ad-free episodes from the dusty vault, Safe House Exclusives, direct access to the Boss, and whatever personal services you require.We invite you to our other PULPULAR MEDIA podcasts:If disaster is more your jam, check out CATASTROPHIC CALAMITIES, telling the stories of famous and forgotten tragedies of the 19th and 20th centuries. What could go wrong? Everything!For brand-new tales in the old clothes from the golden era of popular literature, give your ears a treat with PULP MAGAZINES with two new stories every week.This episode includes AI-generated content.

A student in a university film class makes a "Where Are They Now" style documentary about a man who, in his youth, was a marbles grand champion. But as her project develops, she realizes that bringing the man back into the limelight may not be such a great idea.References and Transcript: https://www.almostplausible.com/episode/marble/Subscribe to the show:Apple Podcasts: https://apple.co/3u9XeMUSpotify: https://spoti.fi/3Jq4eLVRSS: https://bit.ly/3wrjGngConnect with us:Facebook: https://www.facebook.com/AlmostPlausibleInstagram: https://www.instagram.com/almostplausible/Bluesky: https://bsky.app/profile/almostplausible.bsky.socialMastodon: https://mastodon.social/@almostplausibleThreads: https://www.threads.net/@almostplausibleDiscord: https://discord.link/AlmostPlausible

We've been on a bit of a mini World Models series over the last quarter: from introducing the topic with Yi Tay, to exploring Marble with World Labs' Fei-Fei Li and Justin Johnson, to previewing World Models learned from massive gaming datasets with General Intuition's Pim de Witte (who has now written down their approach to World Models with Not Boring), to discussing the Cosmos World Model with with Andrew White of Edison Scientific on our new Science pod, to writing up our own theses on Adversarial World Models. Meanwhile Nvidia, Waymo and Tesla have published their own approaches, Google has released Genie 3, and Yann LeCun has raised $1B for AMI and published LeWorldModel.Today's guests have a radically different approach to World Modeling to every player we just mentioned — while Genie 3 is impressive, its many flaws demonstrate the issues with their approach - terrain clipping, noninteractivity (single player, no physics/no objects other than the player move), and maximum of 60 second immersion. Moonlake AI (inspired by the Dreamworks logo) is the diametric opposite - immediately multiplayer, incredibly interactive, indefinite lifetime, capable of MANY different kinds of world models by simulating environments, predicting outcomes, and planning over long horizons. This is enabled by bootstrapping from game engines and training custom agents: In Towards Efficient World Models, Chris Manning and Ian Goodfellow join Fan-Yun in explaining why their approach to efficiency with structure and casuality instead of just blind scaling is sorely needed:SOTA models still show physical or spatial understanding glitches, such as solid objects floating in mid-air or moving “inside” other solid objects.If the goal is to plan for the next action, how often is a high-resolution pixel view necessary for modeling the world? Our bet is that there is a disproportionately large share of economically valuable tasks where such detail is not required. After all, humans with a wide variety of sensory limitations have little difficulty doing almost everything in the world. Furthermore, for a large number of purposes, describing a scene or a situation in a few words of language (“the car's tires squealed as it cornered sharply”) is sufficient for understanding and planning.Experiments also show that humans only partially process visual input in a top-down, task-directed way, often making use of abstracted object-level modeling. In almost all cases, partial representations combined with semantic understanding are sufficient.…If the goal is to facilitate the understanding of causality in multimodal environments, then the world model—whether it is used in the virtual world or the physical world—must prioritize properties such as spatial and physical state consistency maintained over long time periods, and an ability to evolve the world that accurately reflects the consequences of actions. That's what Moonlake is building.Game engines are the right starting point abstraction to efficiently extract causal relationships, and building the interfaces and community (including their new $30,000 Creator Cup) to kickstart the flywheel of actions-to-observations.We were fortunate enough to attend their sessions at GDC 2026 (the Mecca of Game Devs), and were impressed by the huge variety and flexibility of the worlds people were building with Moonlake's tools already! Live videos on the pod.Full Video Pod on YouTube!Timestamps00:00 Benchmarking Gets Hard00:47 Meet Moonlake Founders01:26 Why Build World Models03:12 Structure Not Just Scale05:37 Defining Action Conditioned Worlds07:32 Abstraction Versus Bitter Lesson14:39 Language Versus JEPA Debate20:27 Reasoning Traces And Rendering Layer37:00 Gameplay Over Graphics38:02 Fiction Rules And World Tweaks39:15 Code Engines Beat Learned Priors41:10 Diffusion Scaling Limits43:23 Symbolic Versus Diffusion Boundary46:14 Platform Vision Beyond Games50:24 Spatial Audio And Multimodal Latents54:23 NLP Roots Hiring And Moon Lake NameTranscript[00:00:00] Cold Open[00:00:00] Chris Manning: Think this whole space is extremely difficult as things are emerging now. And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks.[00:00:20] But these days so much of what people are wanting to do is nothing like that, right? You're wanting to get some recommendations about which backpack would be best for you for your trip in Europe next month. It's not so easy to come up with a benchmark, and it's the same problem with these world models.[00:00:41] Meet the Founders[00:00:41] swyx: Okay. We're back in the studio with Moon Lake's, two leads. I, I guess there's other founders as well, but, sun and Chris Manning. Welcome to the studio.[00:00:54] Fan-yun Sun: Thanks. Thanks, Chris. Thanks for having us.[00:00:56] swyx: You've got, you guys have, come burst onto the scene with a really refreshing [00:01:00] new take of mold models.[00:01:01] I would just want to, I guess ask how you, the two of you came together. Chris, you're a legend in NLP and just AI in, in, in general. You're, you're his grad student, I guess[00:01:10] Fan-yun Sun: Actually my co-founder.[00:01:11] swyx: Oh, yeah.[00:01:12] Fan-yun Sun: I should give a lot of credit to my co-founder, Sharon. Yeah. She was, she was actually working with Professor Fe Androgyn and then she ended up working with, Ron and Chris Manning here.[00:01:22] And then, so I got connected through to Chris initially, actually through my co-founder,[00:01:26] What is Moon Lake?[00:01:26] swyx: what is Moon Lake? What, what is, actually, I'm also very curious about the name, but like why going into world models?[00:01:33] Fan-yun Sun: So I was working a lot. With actually Nvidia research during my PhD years on essentially generating interactive worlds to train reinforcement learning agents or embody EA agents.[00:01:44] And then there's two observations. One in academia and one in industry. An industry like folks at Nvidia are actually paying a lot of dollars to purchase these types of interactive worlds, whether it's for the sake of evaluation or training the robots, or policies or models. And [00:02:00] then, in academia, same thing is happening.[00:02:02] And more specifically, when I was actually working with Nvidia on the synthetic data foundation model training project, we were actually generating a lot of these synthetic data and showing that, hey, you can actually, these synthetic data are actually as useful as real world data when it comes to multimodal pre-training.[00:02:16] But then, like I said, there's a lot of dollars being paid out to like external vendors or, or like. Other folks to manually curate these types of data. It was very clear to us that, okay, on our way to, let's call it embody general intelligence models need to learn the consequences behind their actions, which means that they need interactive data and the demand for those types of data are growing exponentially.[00:02:38] But everybody's sort of thinking about it from a pure, say, video generation perspective or something else. But we feel like the true actually opportunity is actually building reasoning models that can do these things, like how humans do these things today. So that's a little bit on the genesis of Moon Lake, and I think the reason I got into world models was partly.[00:02:59] A philosophical [00:03:00] take of the on the world where I like, believe the simulation theory and stuff like that. But on the other, on the other hand, it's really just like, oh, like there's an opportunity there that I feel like nobody's doing it the way I think should be done.[00:03:10] Structure, Not Scale: The Vision[00:03:10] Chris Manning: I can say a little bit about that.[00:03:12] Yeah. So of the overall goal is the pursuit of artificial intelligence and most of my career has been doing that in the language space and that's been just extremely productive. As we all know, the story of the last few years, I don't have to tell about how much we've achieved with large language models, but, uh.[00:03:31] Although they have been extremely effective for ramping language and general intelligence, it's clearly not the whole world. There's this multimodal world of vision, sound, taste that you'd like to be dealing with more than just, language. And then the question is how to do it. And despite, a huge investment in the computer vision space, right, as the research field computer [00:04:00] vision has been for decades, far, far larger than the language space, actually.[00:04:05] I think it's fair. Say that, vision, understanding sort of stalled out, right? You got to object recognition and then progress just wasn't being made right? If you look at any of these, vision language models, it's the language that's doing 90% of the work and the vision barely works. And so there's really an interesting research question as to why that is and at heart, the ideas behind Moon Lake are an attempt to answer that, believing that there can be a really rich connection between a more symbolic layer of abstracted understanding of visual domains, which aren't in the mainstream vision models, which are still trying to operate on the surface level of pixels.[00:04:50] swyx: I think one of your blog posts, you put it as structure, not scale. Is that, a general thesis?[00:04:57] Chris Manning: Yeah. Well, scale is good too.[00:04:58] swyx: Yeah. Scale is good. Too[00:04:59] lot,[00:04:59] Chris Manning: [00:05:00] lots of data is good as well and scale, but nevertheless, you want the structure Yeah. To be able to much more efficiently learn.[00:05:07] swyx: Yeah. The other thing I really liked also is you put out an example of what your kind of reasoning traces look like.[00:05:12] Right. Which you would distill is the word that comes to mind. I don't even think that's a good, good description, but it would involve, for example, geometry, physics, affordances, symbolic logic, perceptual mappings, and what, what have you. But like that, that is the kind of example that involves, let's call it spatial reasoning, role model reasoning as as compared to normal LM reasoning.[00:05:35] Yeah.[00:05:36] Defining World Models vs Video Generation[00:05:36] Vibhu: But also like taking it a step back. So how do you guys define world models? A lot of people see okay, you can do diffusion, you can do video generation. But, you guys put out quite a few blog posts. You put out a essay recently, we can even pull it up about efficient world models. You have a pretty like structural definition here, but for the general audience that don't super follow the space, right.[00:05:55] What's, what's the difference in what we see from like a video generation model to [00:06:00] a world gen A simulator? How do you kind of paint that last[00:06:02] Chris Manning: year? Yeah, so I think this is actually a little bit subtle because, people look at these amazing generative AI video models, SAWA VO three, one of these things, and they think Genie, they think, oh, this is amazing.[00:06:17] This is we've solved understanding the world because you can produce these generative AI videos, but. The reality is that although the visuals do look fantastic, those visuals actually are accompanied by an understanding of the 3D world, understanding how objects can move, what the consequences of different actions are, and that's what's really needed for spatial intelligence.[00:06:49] So I mean, a term we sometimes use is that you need action condition, world models. That you only actually have a world model if you can predict, [00:07:00] given some action is taken, what is going to change in the world because of it. And in particular, that becomes hard over longer time scales. So if you're simply, trying to.[00:07:12] Predict the next video frame. That's not so difficult. But what you actually want to do is understand the consequences, likely consequences of actions minutes into the future. And to do that, you actually much more of an abstracted semantic model of the world.[00:07:32] The Bitter Lesson & Data Abstraction[00:07:32] swyx: Yeah, the question comes where you want to have more structure than is available in just predicting the next token.[00:07:41] And typically, well, let's, let's call it the experience of the last five years has been that is just washed away by scale, right? So what is the right middle ground here that, you don't ignore the bitter lesson, but also you. Can be more efficient than what we're doing today.[00:07:57] Chris Manning: One possibility [00:08:00] is, look, if we just collect masses and masses and masses and masses of video data, this problem will be solved.[00:08:11] Under certain assumptions that could be true, but there are sort of multiple avenues in which it could not be true. The first is what's really essential is understanding the, the consequences of actions producing an action conditioned world model. And if you are simply, collecting observational video data, which is the easy stuff to collect, when you're sort of mining online videos, you don't actually.[00:08:41] Know the actions that are being taken to see how the video is changing. And so if you are never collecting directly actions and you are having to try and infer them from what happened in the observed video, that's not impossible. But it's very [00:09:00] hard and it's not really established that you can get that to work at any scale yet.[00:09:05] And so there's a lot of premium on collecting action condition video data, which is part of why there's been a lot of interest in using simulation so that you can be collecting data where you do know the actions, which isn't quite limited supply, but there's also in the limit of as much data as you could possibly have.[00:09:28] Maybe the problem is eventually solvable, but. Even though we collect huge amounts of text data is always at a great level of abstraction, right? Language is a human designed, abstracted representation where there's meaning in each token and it's representing and abstraction of the world, right?[00:09:51] As soon as you are describing someone as a professor, and as soon as you are saying that they're condescending, right? These are very [00:10:00] abstracted descriptions of the world. It's not at what you're observing as pixel level, and to get to that kind of degree of abstraction, starting from pixels is orders and magnitude of extra data and processing.[00:10:14] And so, although, we absolutely want to exploit, get as much data as possible, use the bitter lesson. Nevertheless, if there are ways in which you can work with five orders of magnitude less data than people working purely from pixels, you're gonna be able to make a lot more progress, a lot more quickly.[00:10:34] And that's the bet here. And so you could just say that's only wanting to be able to, do it more efficiently, do it more quickly, do it more cheaply. But I think it's actually more than that, I think. One should be making the analogy to how human beings work at one level. You know? Yes, we have these high [00:11:00] resolution eyes and we can look and see a scene like a video, but all of the evidence from neuroscience and psychology is that most of what comes into people's eyes is never processed.[00:11:13] Right. That you are doing fairly fine ated processing of exactly what you're focusing on. But as soon as it's away from that of yeah, there's another guy over there that you've sort of only processing top down this very abstracted semantic description of the world around you. And so, that's what human beings are doing.[00:11:33] They're working with semantic abstractions and so. I think it is just the right representation. ‘cause we also have other goals we want to be able to do, real time worlds. So that means there's a limit to how much processing you can do and we want to do long-term planning and consistency. And again, that favors abstraction.[00:11:55] I mean, I guess there was actually a recent. Blog posts that [00:12:00] came out from our Friends of physical intelligence and, they were sort of heading in the same direction they were saying Oh, to the pay[00:12:06] swyx: pay model.[00:12:07] Chris Manning: Yeah. Yeah. To maintain a long term memory of what's happening in the world. So we can, do longer term we actually storing text of what is, been happening in the world.[00:12:19] Right. It is not such a successful strategy of trying to keep it all at a pixel level.[00:12:24] Vibhu: And yeah, I mean, you can see it in video models like that Temporal consistency. We're at a scale of train on, all the video data we have. We have it for maybe 30 seconds, a few minutes. That's not the same as a game state played for half an hour.[00:12:37] Right. I thought you guys break it down pretty well. You have a, you have a blog post about. Building multimodal worlds with an agent. I dunno if you guys wanna talk about this. This is one of the things I read, I[00:12:48] swyx: thought, yeah, it's the thing I talked about with the reasoning chain. Yeah.[00:12:51] Vibhu: So there's like different phases to this.[00:12:53] It seems like it's more of an agent, a scaffold, very different approach than just, type in a prompt and you, you don't have the same consistency. [00:13:00] It also, like, for people that are listening, I, I would highly recommend reading it. It breaks down the problem in a different light, right?[00:13:06] So like, what do you need to consider when you're talking about video, like world game models, right? How would, what do you need to consider? What are the factors? What are the elements? What's the state? So I don't know if you guys have stuff to talk about for this one.[00:13:19] Fan-yun Sun: Yeah. Actually, I wanted to add on a little bit Yeah.[00:13:22] On our previous point, which is just like, change topics so quickly. I, I do feel like sometimes people confuse like, oh, like we're taking an an, an method with abstraction. That means they don't believe in bitter lesson. Like that's just false, right? Like we are believed is a bitter lesson. But then I feel like the question that we always discuss is like, what is the right abstraction level today?[00:13:42] The analogy I like to make is like, let's just say we can encode and decode. Represent all of images, videos, audio and bytes. Then the most bitter lesson approached is to train a next byte prediction model as opposed to the next token prediction model where it's just like, okay, it's natively multimodal, can just, but it's like, yeah, like [00:14:00] to, to Chris's point, it's like the scale and computing you need to achieve that.[00:14:03] So that's why we always come back to like, okay, what is the most efficient way to do it? And reasoning models to the point of this blog post is a showcase of like, Hey, we're actually just like reasoning about the world and reasoning about. The aspects of the world that CAGR that matter for me to learn what I want to learn from this role model.[00:14:21] swyx: Yeah, it's like you're improving the en encoder of whatever you're, trying to model. And like a better representation would just represent the important things in less space. Yeah. Which would just be more efficient.[00:14:33] Fan-yun Sun: Yeah.[00:14:34] swyx: So yeah, I, I, I fully agree that it is not, antagonistic to, bitter lesson.[00:14:38] I do wanna wanna mention one more thing. Is there any philosophical differences with the JPA stuff that, Yun is working on? I gotta go there. You, you, you, you're, you're imagining like some latent abstraction. I'm like, okay, fine. Let's, let's talk about it, right? Like it's an elephant in the room.[00:14:52] Chris Manning: Yeah.[00:14:53] JEPA & Philosophical Differences with LeCun[00:14:53] Chris Manning: There are philosophical differences. Jan Lacoon is a dear friend of mine, but. [00:15:00] He has never appreciated the power of language in particular, or symbolic representations in general. Yarn is a very visual thinker. He always wants to claim that he thinks visually and there are no words, symbols, or math in his head.[00:15:21] Maybe that's true of yarn. It's certainly not the way I think. Um. But at any rate, the world according to yarn is the basic stuff of the, the world and of intelligence is visual and language is just. This low bit rate communication mechanism between humans and it doesn't have much other utility and it's far inferior to the high bit rate video, that comes into your eyes.[00:15:53] And I think he's fundamentally missing a number of important things [00:16:00] there. Think of this evolutionary argument looking at animals, right? That the closest analogies, the things with chimps, right? So chimpanzees, have fairly similar brains to human beings. They have great vision systems, they have great memory systems.[00:16:18] They've got, better memory than we do of short term memories. They can plan, they can build primitive tools that, humans. Massively ahead in what we understand about the world, what we can plan, what we can build. And essentially what took off for us was that humans managed to develop language and that gave a symbolic knowledge, representation, and reasoning level, which just, okay if this sort of vaulting of what could be done with the intelligence in brains.[00:16:59] So the [00:17:00] philosopher Dan de refers to language as a cognitive tool and argues that, humans unique among the creatures in the world have managed to build their own cognitive tools and language is the famous first example. But other things like, mathematics and programming languages are also cognitive tools.[00:17:21] They give you an ability to. Think in abstractions, in extended causal reasoning chains. And that allows you to do much more. And we use that for spatial representation and intelligence and planning and gameplay as well. So we believe, and this is, underlying the specific technologies that Moon Lake is making, that symbolic representations are powerful.[00:17:50] And you want to use that in your understanding of the visual world when you want a causal understanding, when you want to maintain long-term [00:18:00] consistency and prediction. And as I understand it, that's just not in ya Koon's worldview. So I think that's the fundamental philosophical difference. Then there's the specific model.[00:18:11] He's been advancing jpa, that's a reasonable. Research bed is a direction as to, to head for building out a model of the visual world. To my mind, it's sort of one reasonable research bed. It's not really established. It's the best one that everyone should be following,[00:18:32] swyx: at least developed at scale, at Meta.[00:18:34] But it's not just vision, right? Like, I mean, JPA is a, just joint admitting prediction can be applied to anything really. And people have done it. The argument is that there is a latent representation or that is probably more. Suited to the task, then why not let machines do it for us instead of predefining it at all?[00:18:50] And isn't something like a JPA shaped thing the right answer? And if not, why not?[00:18:55] Chris Manning: So I think there's a part of jpa that's right, which is [00:19:00] you do want to have a joint. Embedding that gives you a consistent model of the world. And Jan's argument is you can never get that from auto aggressive language models ‘cause they're sort of left to right churning out one token at a time.[00:19:22] I guess this is where we're the research arguments of the field, I'm not actually convinced that's right. ‘cause although the token production is this auto aggressive, process that's heading, left to right, I guess don't have to be left to right. But anyway, in sequence of tokens we could have right to left Arabic.[00:19:40] But although that's true, all of the weights of the model that are internal to the transformer, they are a joint model of the model's understanding of the world. And so I think you can think of the weights of the model as a form of. Joint representation, [00:20:00] and therefore it is plausible to think that could be the basis of a world model, which avoids, ya's objections.[00:20:10] swyx: I think I follow, and obviously that would touch on what Moon Lake eventually ends up doing as well. Right. Like, which it's hard to tell because you put out the end results, but we don't know the inputs that go into it. So it's, it's, that's something that we have to figure out over time.[00:20:25] Vibhu: Yeah. I mean, I guess this kind of breaks down some of the outputs. Do you wanna walk us through it?[00:20:31] Reasoning Traces & Interactive Worlds[00:20:31] Fan-yun Sun: Yeah. So this, this really just walks us through the reasoning traces of like, okay. So that just say, if we wanna build a world in this context, it's really just a game demo that, that shows the, the variety of interactions that this world model can build.[00:20:45] And yeah, it's really just a reasoning traces of like, okay it prompted to create a bowling game. Like how did it achieve what you saw? That level of causality, interaction and consistency, right? So yeah, this is almost just like a, an example of [00:21:00] like a reasoning traces. Very[00:21:01] swyx: detailed.[00:21:01] Fan-yun Sun: Yeah.[00:21:01] Vibhu: Very, very detailed.[00:21:02] You gotta you don't even realize it, right? Like when a video is generated, what happens when a ball strikes a pin, right? So first, like you, there's audio in that, like audio triggers happens, score increments, the world changes. Like pins have to start dropping. There's a timer that goes on. It's just like very similar to how now we're used to reasoning for language models.[00:21:20] There's a whole state of what happens. So geometry, physics, all this stuff. And then yeah, there's kind of that single prompt. So asset, ation all this stuff. It's like a, it's a nice view to see what's going on.[00:21:32] swyx: I think Sun is also too polite to point out that, both like Google's genie, demos as well as world Labs is marble, do not have interactive worlds.[00:21:41] Fan-yun Sun: That's the benefit of having a reasoning model, right? Like, because you can, you can say, oh, like maybe in this particular context, I want to learn how to bowl. And then you can say, okay, then what is it important when it comes to learning how to bowl? Okay, maybe it's like I need to understand the, the basic of like, physics and I want to throw it over [00:22:00] them.[00:22:00] I wanna know that when I, when it resets it's a new game. So I know that yeah, basically, you know to pick up the ball, you know that ball's gonna cause the pins to fall down. You know that what's important to this particular bowling game is to score and you know that the score corresponds to the number of pins that fell down.[00:22:19] So it's just like, if it's a model that sort of knows what it. Looks like, knows what a bowling game looks like, but doesn't actually allows you to practice over and over again and to understand that, oh, like what it takes to actually get a high score. Then it sort of doesn't actually allow you to learn what you set out to learn within the world model.[00:22:38] And I think this is really just one example of showing like the advantages of the approach that we're taking over most the, let's call it the zeitgeist, is today, when people talk about clinical role models,[00:22:51] Chris Manning: right? So it sort of seems like the question to ask when there's a world model is.[00:22:58] Can I not [00:23:00] only just wander around the world and look at the beautiful graphics, can I interact with the objects in the world and see the right consequences of actions?[00:23:11] Vibhu: And you also understand what the consequences would be if you do something right. So it's not just like, okay, there's one thing if I pick it up, something will happen.[00:23:19] But, there's 50 options and I know I can expect, I can infer what would happen if I do any of them. Right. So very different when you can actually see it play around with it.[00:23:28] swyx: There,[00:23:28] Beyond Unity: Cognitive Tools for World Building[00:23:31] swyx: there's two cheeky elements of that. I mean, the, the, the I guess, less ambitious one is, let's really establish for listeners, why is this fundamentally different than writing Unity code, right?[00:23:40] Like just creating a model to translate a prompt into Unity code[00:23:44] Fan-yun Sun: so there is an underlying physics engine. Yeah. In that sense, there's some overlapping things to Unity, but the way we think about it is like physics engine. Tools or code are cognitive tools like borrowing Chris's term, right? Like tools [00:24:00] that the model can employ as means to an end.[00:24:04] So today maybe you say, okay, in this particular context we care about physics, we care about the long-term causality consequences. Then yes, we deploy it, employ physics engine, and then maybe tomorrow we say, okay, we're we're training that. Just say drones where we only care about really fluid dynamics and the visual aspect of the world.[00:24:25] Then, then yeah, maybe we don't actually, the model actually doesn't have to use a physics engine. Or maybe it employs other types of representation or physics engine to achieve the task. So yes, writing code for Unity is sort of similar to a tool that our A model can employ, but our goal is for a model to take a representation conditioned reasoning.[00:24:46] Approach or process.[00:24:47] swyx: Yeah,[00:24:47] Fan-yun Sun: internally.[00:24:48] swyx: Yeah. Using these things as just like general two calls. Right. Which I think is very interesting. The other more ambitious one is, some kind of recursive element where it becomes multiplayer, right? Like here, there's a single player element, you're not [00:25:00] modeling any other people involved.[00:25:01] And that is a whole other thing.[00:25:04] Fan-yun Sun: But in fact, we can really do multiplayers. Oh yeah, okay. I haven't seen any double situations. So just actually just like prompt our, our model to say, Hey, like configure to multiplayer. Then it'll do like this. You'll be able to configure multiplayer[00:25:16] swyx: great[00:25:17] Fan-yun Sun: persistency database for you.[00:25:18] Easy. Yeah.[00:25:19] Vibhu: So what, what are like some of the current limitations in where we're at? So there's one approach of like, okay, scale up video predictors. Obviously there's data issues. With approaches like this, is it data constraints? What are like the next steps? Is it real time? Like, so there's one side of, write an agent to write Unity code, but okay, I want to be streaming a game real time.[00:25:38] I want to have characters being also like agent, but where, where do we kinda see this scaling up? Right?[00:25:44] Fan-yun Sun: Yeah, there's definitely a data constraint. Like the more data, the, the better. This reasoning model can almost basically act as humans to like operate a variety of tools and softwares to build whatever's necessary.[00:25:57] And then there's a sort [00:26:00] of fidelity constraint, which we're actually solving with another model, which we can talk about later. But it's like, it's not as easy to get to photorealism with the approach that we're taking. But we think there are better solutions to that, which is we can dive into later.[00:26:14] Later.[00:26:15] Vibhu: The one one thing you note here is it's a diffusion model, right? So there's, there's a few approaches, diffusion caution, splatting, yeah, so Ry diffusion model, you guys wanna[00:26:25] Fan-yun Sun: Yeah.[00:26:25] Vibhu: Introduce,[00:26:26] Fan-yun Sun: yeah, totally.[00:26:26] Rie: Neural Rendering & Skins for Worlds[00:26:26] Fan-yun Sun: So within our world modeling framework, we think there are two models that we train, right?[00:26:31] Like, there's the multimodal reasoning model that we just talked about that essentially handles. Mainly the, the causality, the persistency and logic determinism of the world. And then RY is our bet on saying, okay, like while all those model, can take care of all these things that we just talked about, it's limitations compared to existing, say, video models, is that it doesn't have as high of a pixel [00:27:00] ality right off the gate, right?[00:27:02] And EE is to say, Hey, we can actually take whatever persistent representation that we generate with our multimodal reasoning model and learn to restyle it into photo photorealistic styles or arbitrary styles you want. So this model is almost to say, Hey, I'm going to respect the persistency and interactivity of the world that you created, but my only job is to make sure that its pixel distribution is close to what we want.[00:27:29] Vibhu: Yeah.[00:27:30] swyx: Great example right there. You kept the KL divergence.[00:27:33] Fan-yun Sun: Oh. Where,[00:27:34] swyx: no, no. I mean this, this is a, a classic like, how you don't stray too far from the source material as you, you kept the kl, which is Oh yeah. Kind of cool. Yeah.[00:27:43] Fan-yun Sun: Yeah.[00:27:44] swyx: I mean, and the[00:27:44] Chris Manning: difference is, and I mean sun was pointing at this, where sort of saying it's in one way a more difficult path, but a better path that, typically the diffusion models are producing the whole scene and it looks lovely, [00:28:00] but there isn't spatial understanding behind it, which is allowing for the real time graphics gameplay, the spatial intelligence, understanding the consequences of worlds where this is, taking a path where it is assuming an abstracted semantic model of the world's state.[00:28:20] And then the diffusion model is then being used on top of that to produce the high quality graphics.[00:28:27] swyx: Is there an intended practical, or business use for this, or is it like a, like a demonstration of capabilities?[00:28:34] Fan-yun Sun: We actually believe that this is gonna be the next paradigm of rendering. So it's gonna replace how ra raizer, it's gonna replace DLSS today because it not only has these pixel prior that's learned from the world such that you can literally play any game in photo realistic styles, which is a lot of people's desire when they do GTA, right?[00:28:51] Like,[00:28:51] Vibhu: all the mods, all the people adding perfect lighting and all this.[00:28:54] swyx: So[00:28:54] Fan-yun Sun: skins[00:28:55] swyx: for worlds, let's call it[00:28:56] Fan-yun Sun: skins, let's call it skin for worlds. I,[00:28:58] Vibhu: it's also like, you can call it skin, you can call it [00:29:00] customization. You can play it how you want, right?[00:29:01] Fan-yun Sun: Yeah, exactly. And I think another thing that we really pointed out specific specifically in this blog is the programmability of it, right?[00:29:09] So what this means is that this render historically render is always a derivative of the game state, right? You're saying, oh, here's the game state, I'm rendering out a frame. But here I'm saying actually this render can be part of the gameplay loop. I can say something along the lines of, if upon getting 10.[00:29:26] Apples, I'm gonna, my weapon of choice, my bullet's gonna turn into apples. And that's, that's possible because we can say, we can basically dynamically have certain game state trigger the, the preconditions to the render such that the rendering is now part of the game loop too. One thing is to just say, okay, it's, it's, it's the appearance.[00:29:47] But the second thing is also to say there's these novel interactions that are possible because this render now has actually priors of the world.[00:29:57] swyx: It is up to the artist to figure out what to do with it.[00:29:59] Fan-yun Sun: It [00:30:00] is up to the creators. Yes.[00:30:01] swyx: Yeah.[00:30:01] Fan-yun Sun: And I also think that's actually another big argument that we're making and the reason that we're picking, taking the bet we're baking is that a lot of the times, whether it's for embody AI gaming, like you want a layer where human can inject their intentions.[00:30:15] So, for example, let's just say in the context of gaming, it's obviously like my creative intent, but maybe in the context of embodied ai, it's like, oh, like I take this foundational policy and I want to actually fine tune it to deploy in my house. So you want to almost say, inject, have a layer where human can say, oh, here's the distribution of things I want to create to achieve my goal.[00:30:35] And I think 3D graphics as it as it is today, is basic, the layer for people to say, Hey, what do I care about in this world? And it allows, basically human intent to be expressed in these worlds much more explicitly and distributionally as opposed to just saying, Hey, I'm gonna generate like, arbitrary.[00:30:54] And it's like just prompts,[00:30:55] swyx: it's one of those things where like, I think you, you're going to build up a series of models, right? [00:31:00] This is just one of, this is probably like the highest utility or heaviest, frequency one, I don't dunno what to call this. Where like you Yeah. You can immediately drop this in on any game and you don't need anything else that.[00:31:10] That you guys do. But, I, I could see, I could see that I think the, the human intent is something that people are not even used to because we're so used to static worlds or, worlds that just don't react, or, I don't know. It's, it, you're kind of blowing my mind right now with like, I'm, I wonder if you've talked to people at GDC Hmm.[00:31:27] And what are they gonna do with it?[00:31:30] Fan-yun Sun: Yeah. Now the stance that we take on this front is like, we're not gonna be more creative than our users to ship[00:31:35] swyx: it out.[00:31:35] Fan-yun Sun: Yeah. But we wanna make sure that we're building things in a way that really allows them to express their intent.[00:31:41] swyx: The thing that you said about, here's the distribution that I want.[00:31:45] I think text may be too low of a bandwidth to. To really demonstrate, because I, I, there, I'm, I'm probably just gonna want to drop in a bunch of, reference assets and then you can figure it out from[00:31:58] Vibhu: there. But you probably wanna do a, a mixture of [00:32:00] both, right? Like you throw in a few images. I wanted this style.[00:32:02] Yeah. I want it to look like this. So it, it's, it's a mixture, right?[00:32:05] Chris Manning: I, I think it's a mixture. I mean, yeah, I mean there's clearly a visual component of this, and it's not that, everything can be text. ‘cause of course you want to give a visual look, but there's also a massive amount of giving the overall picture of the look of the world and the behavior of things that you can express in a few words of text.[00:32:32] And it be very time consuming and difficult to do via visual means. So I think, yeah, you want a combination of both.[00:32:40] Evaluating World Models[00:32:40] Vibhu: So one question I kind of have is, how do we go about evaluating world models? So like, there's many axes, right? One is like, okay. I have preferences. How well do we adhere to prompts? One is the simulation.[00:32:50] One is like do things, is there core logic that's broken? So coming from we know how to evaluate diffusion, there's fidelity, there's [00:33:00] stuff like that. But what are some of the challenges that most people probably aren't thinking about?[00:33:04] Fan-yun Sun: Yeah, I think this is like a great question and probably one of the hardest questions in role models because like, I think it always comes back to what are you building this role model for?[00:33:13] And depending on your end goal and purpose, the evaluation should defer. So in the context of games, then the most direct way of measuring is how much behind are people actually spending in this world that you create? And if your goal is to say, for example, in the context that we just talked about, like, hey, deploying, deploying action in body, a agent, then your, your end.[00:33:33] Metric is then, okay, after training in these worlds that you generate how robust it is to when you actually deploy to the target environment. But then, it's, it's hard to measure these end metrics. So today people have like these proxy metrics that I call that basically try to measure what we really care about, which is the end metrics, but then frankly it's different for every use case.[00:33:57] Yeah,[00:33:57] Vibhu: which seems like quite a challenge, right? Like in [00:34:00] in language models or video models. Image models, your benchmarks are proxies, right? People aren't actually asking instruction, following tool use questions. They're proxies of how well it will do downstream. But for this, so like, should teams, should companies have their own individual benchmarks outside of games?[00:34:16] If you think of stuff like, okay, video production, movies, stuff like that, that also want to use world models. Should, should they sort of internalize like. Their own proxy. Is this something you guys do? Where, where does that connect[00:34:28] Chris Manning: go? Yeah, I think this whole space is extremely difficult as things are emerging now.[00:34:35] And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks and could you answer the question based on these documents and the various other kinds of, do pieces of logical reasoning or math.[00:34:58] But again, these are sort of. [00:35:00] And there were sort of visual equivalents of things like object recognition, right? For these small component tasks. These days so much of what people are wanting to do also with language models is nothing like that, right? You're wanting to, have an interaction with the language model and get some recommendations about which backpack would be best for you for your trip in Europe next month.[00:35:25] And it's not the same kind of thing, right? And it's not so easy to come up with a benchmark as to does this large language model give you an effective interaction for guiding you in a good way for shopping, right? So, and it's the same problem with these world models. So if we take the game design case, well success is that a game designer can.[00:35:57] Produce what they are [00:36:00] imagining in a reasonable amount of time. And that's really the kind of macro task. That's a very hard thing to turn into a benchmark and I think a lot of this is actually going to turn into people walking, walking with their feet. Right? I mean, I guess that's what's happening, at the large language model level, right?[00:36:23] When people are choosing to use, GPT five or Gemini or clawed, individuals are trying out these different models and deciding, oh, I like the kind of answers that GT five gives me, or no, I feel like I get more accurate detail from Claude, right?[00:36:43] Vibhu: It's a lot of[00:36:43] Chris Manning: vitech, a lot of people just using it.[00:36:45] It's vibe checking. I realize that, but it's actually whether. People feel it's giving them utility in what they want. Right.[00:36:52] Vibhu: And the the interesting thing there is like a lot of people prefer the visual, right? This looks pretty, which is not the objective of what this is [00:37:00] for, right? It's if a, if a game designer is working on something, they care about the game engine, right?[00:37:04] The state, it's, it can look whatever. You can fix that up later. Or you can have a really good game state and you can quickly edit it to 20. 20 different versions, like Keep State,[00:37:14] Chris Manning: right?[00:37:14] Vibhu: So[00:37:14] Chris Manning: that's a really important distinction, for and for speaking to Moon Lake strength, right? So, yeah, great visuals are lovely to look at for a few seconds, but gains are really all about the concept, the game play.[00:37:33] And a lot of the time that doesn't actually even require great visuals. I mean, there are just lots of very successful games which have relatively primitive visuals, and there are other games where people have spent millions producing photo realistic, visuals, and the game sucks, right? So, keeping those two axes apart is really important in thinking about what's important in a [00:38:00] world model for different uses.[00:38:02] swyx: This conversation is reminding me of some game review and fiction discussions I've, had in my sort of non-AI related life. Some, for some people might know Brandon Sanderson, who's a very famous, fiction author, had, is is a big game reviewer. And he, he's a big fan of video games where you change one thing about a normal what you might assume about, about the world.[00:38:22] For example, Baba is you, I don't know if you might have come across that, where like the rules change as you play the game. And also like where, you can do things like reverse time selectively or like change gravity selectively. And I think this is also reminds, reminds me of other kinds of world models that are created by authors.[00:38:38] Where Ted Chang is, is my typical example where he'll take the world that, you know today, but change one thing about it and, but then create a consistent world based on that. Which is long-winded answer of me to, of. For me to say is it's it easy to create alternative roles that don't exist, but you change one thing and then let's, let's run a whole bunch of people through it to see if it works.[00:38:58] Chris Manning: My first dance will [00:39:00] be, that seems a lot easier and more conceivable to do using Techn technology like Moon Lakes than with some of the other world models out there, where the sun can actually make it happen. I'll let him give a second answer.[00:39:15] swyx: If I guess for you, you're constrained by the game engine tool, right?[00:39:18] Like at the end of the day, that's the, that's the thought, partner that you have. If I ask for something where like, if it never is allowed to reverse time or if gravity only ever works one way, then well that's it. But sometimes gravity might change,[00:39:33] Fan-yun Sun: but it's a lot easier to change with code as opposed to a model that is learned primarily on data of.[00:39:42] Real world and virtual worlds that are, I guess, like for example, junior, like there's actually trained on a lot of real world data and a lot of virtual gaming data, and it's hard to say maybe it's easier to say, okay, I wanna change the visuals in like the time period of, of the world. Like, you can't change gravity, for [00:40:00] example.[00:40:00] Vibhu: I feel like you can to light bounds, right? Everything comes down to like, code is a better way to execute it, but the models aren't that diverse and creative, right? You can say, okay, make gravity slower. It can do that, but it's limited to your representation of how you text it out, right? Like they're, they're only gonna do a few iterations, whereas programmatically, if there's a game engine under the hood, you can kind of go wild, right?[00:40:22] So one of the, I dunno, one of the limitations of most models is that they're very overtrained to one style. Right. And extracting diversity is pretty difficult. At least that's something we've seen.[00:40:35] Fan-yun Sun: I mean, are there examples you have in mind where you Existing models? Yeah. Like it would be easier to do that's not using code.[00:40:43] Certain types of creative intent or like transition state transitions,[00:40:47] swyx: Clipping, other models, other wo models are very good at clipping through things. Clipping my, my, my legs clipping through a rock because it's, it's just, it's just bad. [00:41:00] Like, you would have to struggle very hard with your stuff to actually make that happen.[00:41:04] Which I think is maybe a topic that you actually prepared on, Gian Splatting versus, the other stuff.[00:41:09] Vibhu: Yeah. Yeah. It's just for those not super familiar, right? There's a, there's gian splatting, there is diffusion. Like what works, what scales up. I feel like in February when Soro one came out the blog post was literally titled like,[00:41:21] swyx: you bring it up.[00:41:22] You never know.[00:41:23] Vibhu: World, world, video generation models are world simulators. It's super bitter lesson pilled. Yeah, emer, a lot of it is emergence, right? So, not to go through their blog post, basically their whole thing was as you scale up all this consistency, all this stuff just kind of solves, it's a very simple premise, right?[00:41:41] They just scaled up, diffusion, and from there, this is, this is Feb 2024, how much can we, it's already been two years, which is basically five years. How much more in AI time do we need to just scale up or, or do we hit a data cap? But I think we already talked about this a lot, right? Like this is back to the beginning discussion of what's [00:42:00] appropriate for the time.[00:42:01] And that seems like your approach, right?[00:42:03] Fan-yun Sun: Yeah. The point I'm trying to make is that they're very many, many different types of world simulators and like having a world simulator that can produce pixel coherency is very, very useful for games and, marketing and all these things, but it's not as useful as people think when it comes to causal reasoning.[00:42:25] When it comes to embodied ai. Yeah, like it this title is true. We're not saying that it's, it's like, not a great world simulator, but actually in the blog that we, we, we, we wrote, the bet is more so that there are gonna be disproportionately large share of value of real world tasks or, and virtual tasks where high resolution pixel fidelity is not needed.[00:42:47] Yes. Video models have their values.[00:42:50] swyx: Yeah. This is at the absolute limit of my physics understanding, but one example that comes to mind is basically having to solve like ba the equivalent of a three [00:43:00] body problem in a deterministic Well, where the video models, which is approximated good enough. Yeah.[00:43:08] Right. Like there's, there's some point at which your approach kind of runs into like the you now have to simulate the world. Please, thank you very much. And like you're trying to do that, but only to the extent that the game engine lets you and like game engines cannot do some things.[00:43:23] Fan-yun Sun: Yeah, no, I mean, I think the interesting or more technical question here actually is where do you draw the boundary between.[00:43:32] What's handled with, let's say, diffusion prior and what, when? What's handled with symbolic priors?[00:43:38] swyx: Yes.[00:43:38] Fan-yun Sun: Okay.[00:43:38] swyx: Okay.[00:43:39] Fan-yun Sun: Right. Let's go there. Because this, this boundary can actually be fluid. Like I think like maybe what you're trying to get at is like, okay, people are saying pixel prior, everything. But what we're saying is, okay, there's a boundary that we draw where this is where we think provides the most economical value for the domains and things that we care about today.[00:43:59] [00:44:00] And I actually do think, and it's something that we do internally all the time, which is like, okay, given new equations that we learn or new elements of the world and that we, we learn, or maybe some other knowledge that we acquire in the process of developing the models. Should we still be maintaining this line exactly as it is today?[00:44:22] Or should we move it a little bit left or a little bit right? Right. Like sometimes that we realize that, oh, like maybe customers or, or folks like want certain things that are better handled with preop pryor as opposed to, symbolic prior than,[00:44:34] swyx: yeah. Your, your skin thing is a, is a example moving it, right.[00:44:37] Yeah.[00:44:37] Or left. Yeah,[00:44:37] Fan-yun Sun: exactly.[00:44:38] swyx: I dunno what the, the left right is.[00:44:39] Fan-yun Sun: Yeah, yeah, yeah. No the, the model.[00:44:42] swyx: Yes.[00:44:42] Fan-yun Sun: Actually we have a few iterations of them. They're actually at slightly different[00:44:45] swyx: I know boundaries. You should, you should do that. That's a cool dimension to show.[00:44:49] Fan-yun Sun: Yeah.[00:44:50] swyx: Is quantum mechanics the diffusion prior of our world?[00:44:55] Right. It's like that's the boundary of classical mechanics versus quantum. Right? Like, that's it. At one [00:45:00] point God plays dice and the other point doesn't.[00:45:02] Fan-yun Sun: I dunno if Chris, you wanna say it, but I think, I think generally I feel like physics is better with symbol P priors.[00:45:08] Chris Manning: Even quantum physics.[00:45:09] Fan-yun Sun: Even quantum physics.[00:45:11] swyx: Yeah. This is starts against to, MLST territory is, is what I call it, where, he, he likes to get philosophical. We, we we're quite friendly.[00:45:18] Vibhu: I mean, we need to get, we need to get singularity. I heard some of that.[00:45:23] swyx: No, no, I think that is actually really helpful and man, I just want you to productize this like, as a product guy, I'm just like, oh, also[00:45:32] Vibhu: a gamer, I[00:45:33] swyx: wanna, it's like a researcher, like, it's cool.[00:45:35] Like this is a, the theoretical, like you have a very good, I don't know, like the way of thinking about these things, but I just wanna see you like, express it. I do think like your fundamentally things when, when you leave open new tools, like, okay, use, use human intent to incorporate it into how you render.[00:45:52] Artists are gonna have to take like two to three years to figure out what to do with this. And you just don't know.[00:45:57] Chris Manning: Right. But I think, this is, [00:46:00] gives a much more approachable and controllable world for the society, which is the beauty, the beauty of, NLP, that that will enable it to be adopted and used.[00:46:10] And we are very hopeful about that. Yeah,[00:46:13] Fan-yun Sun: yeah. Yeah. I mean, we are, we are very focused actually on commercialization in the sense that like we do, we do really believe in the data flywheel app approach. Yeah. Where, we put this in the hands of the creators and the users and then they will teach us when, what capability our model should improve.[00:46:27] And that's why we are, we are actually, like products and beta[00:46:31] swyx: Yeah. Focusing on gaming. What, what's like the adjacent thing to gaming[00:46:34] Fan-yun Sun: embody adjacent, basically. So maybe we can, we can I'll maybe start with where we see the platform in three years. Yeah. Which is like, okay. The users would tell us what they want to achieve.[00:46:45] The end goal could be, Hey, I just, I wanna make something to teach my kids the value of humility. Or it could be, Hey, I wanna fine tune my, drones to be really good at rescue situations. I could be vacuum robots. I want to like train [00:47:00] my manipulation or like vacuum robot to be very robust to my office, right?[00:47:04] But it's like, whatever it is, scenario robust to[00:47:06] swyx: my office[00:47:07] Fan-yun Sun: or like navigate very robustly in my office. But then it's like, whatever end goal that you want, our role model will say, okay, given what you want to achieve, let me generate a distribution of environments such that I can train and evaluate whatever it is you want.[00:47:24] Yeah. Right. Maybe for the purpose of games, it's just the end simulation and that's the end product for certain policies. It's like I can train it within these environments and then help you see where your policy is failing or not. Yeah. And then, so I think,[00:47:37] swyx: so in that case, much more of a training tool.[00:47:40] Than in other training[00:47:41] Vibhu: evaluation? Both. Right?[00:47:43] swyx: Sure. Same. Same thing.[00:47:43] Fan-yun Sun: Yeah, same thing. I think it's just this role model that allows people to train any policy that can act in any multimodal environments.[00:47:51] swyx: Would it be harder to reward hack? Is there an angle here where it is harder to reward hack? Like it's just, I'll just put it generally because I think that's a, that's obviously a key [00:48:00] problem that a lot of people face when in training agents in these environments, and I don't know, can you solve it?[00:48:07] Chris Manning: I think not necessarily. To the extent that there's a mis specified reward that. It seems like it could be hacked in a more symbolic world or in a more pixel based world. I dunno if Sun's got any thoughts, but I don't think that's really being solved.[00:48:26] swyx: The other thing that comes to mind is just you could just build a better sawa as a video generator model, right?[00:48:31] Because then you, you would move the diffusion, side a bit more further to the right. I think if I got the directionality correct. And that's it.[00:48:40] Vibhu: It's better on domains, right? Like on consistency over now, or for sure it exists versus something doesn't, right.[00:48:46] Chris Manning: So[00:48:46] swyx: yeah. Yeah. Is[00:48:49] Vibhu: is a question more like, like[00:48:51] swyx: I'm just riffing on like, how do you, what can you build, you know?[00:48:54] Oh, with the stuff that you have. I do think that the minor, the academic does go immediately to training [00:49:00] and in eval evaluation, but like art tends to take unusual directions. Like you might end up,[00:49:06] Chris Manning: okay. Yeah. But the question is, can you use this piece of software to develop compelling gameplay and. I don't think you can take SOAR and produce compelling gameplay, right?[00:49:19] If you want to have a world that you can wander around in a bit, you are good. But what are your abilities to have gameplay mechanics implemented the way you'd like them to be and to have things stay, with the long-term history of your gameplay that influences future actions. I think there's just nothing there for that.[00:49:39] swyx: Yeah, I do tend to agree. I, I'm just trying to sort of test the boundaries. I would also make the observation that as AAA games industry has developed the line between what is a movie and what is a game has blurred. And you, you, you do end up basically producing a two hour movie as part of your game.[00:49:57] Fan-yun Sun: No, honestly, there, there's so many actually [00:50:00] applications in adjacent markets that our world model can go into. Yeah. But yeah, it, it's sort of fun to riff, riff on. Although on the execution side, we we, we need to stay focused with like, okay, what are the capabilities we want to unlock over time?[00:50:11] And there's a roadmap for that. But yeah, if we're just riffing on sort of like the possibilities, I feel like, whether it's endless Yeah, it's like classic[00:50:18] swyx: and the embedding for a possibility and endless in my mind, it's very close. Yeah. I do wanna, focus on one, like weird choice. I, I don't know if it's weird.[00:50:28] Maybe I'm, I got something here. Audio, right? You could have just said no audio And audio in my mind has a lot of recursion, whereas in video you can just do recasting and that's much computationally much simpler. Audio just seems way harder. I don't know if you wanna just comment on just the special 3D audio.[00:50:46] Problem. Did you really have to do it? I guess you do to be immersive, but like a lot of people do treat it as like, well, you just stick a, a tt S model on top of[00:50:57] Vibhu: Well, there's a lot more to game audio than [00:51:00] just speech. Right. It's not just[00:51:01] swyx: tts. Yeah. Tts. S Fxt, GM Spatial in my mind Echoes[00:51:06] Chris Manning: Yeah.[00:51:06] swyx: And reflections.[00:51:07] And I, I don't even know what's, what else? I don't know what, what other problems in this space.[00:51:13] Fan-yun Sun: Yeah, I think this point like the, it's sort of a more, more pointing to the benefits of using an game engine as a tool that's available to the model, right? Because like part of the spatial audio is from the code that is underlying the simulation.[00:51:32] And while we do give our model access to other types of audio models as. Tools.[00:51:39] swyx: None of them would be spatial, I think.[00:51:41] Fan-yun Sun: But that's exactly sort of more 0.2. We're giving our model an abstraction or a suite of tools such that it's able to achieve that. And you can argue that sort of spatial is like a, like a emergence out of the, the tools that we and abstraction that we provide to the agents.[00:51:59] And I think that's the beauty of [00:52:00] this, this, this approach is like there's a lot of things kind of like how human's built technology and they're like Lego blocks that build on top of each other. And it's the same thing here. There's gonna be things that sort of just sort of emerges from being able to put these things together in like combinatorially interesting ways,[00:52:14] Chris Manning: right?[00:52:15] So this integrated audio model exploits the understanding and semantics of the Moon Lake world, right? And whereas in general for the Gen AI video models. There's no actual integration across to audio at all, right? That someone might stick some music or stick a soundscape or whatever else on top of their video.[00:52:44] So it's not a silent video, but they're in no way connected into a consistent world model. And there's nothing that's okay. An action is happening in the video. Therefore there should be a sound that's [00:53:00] coming from this part of the visual field.[00:53:03] swyx: Yeah.[00:53:03] Vibhu: Is that different than Sora too? Does it not have audio?[00:53:06] Not to say it's not like[00:53:08] swyx: amazing[00:53:08] Vibhu: isn't a spatial[00:53:09] swyx: audio.[00:53:09] Vibhu: It doesn't,[00:53:10] swyx: no. I've played around it with it enough. It just sounds like someone put an 11 laps voice on top of it and just tried to do the lip sync.[00:53:18] Vibhu: Oh, yeah. I've seen, okay. Generate a dog at the beach and reactions to big wave and move[00:53:23] swyx: around.[00:53:23] It's definitely like, so have the dog, have the dog move away from camera and see if the, the song goes down. It doesn't. ‘Cause they don't have facial audio.[00:53:32] Fan-yun Sun: We do want to basically like we, our moral model, like the one we're training is basically towards the goal of having a combined latent representation across all these different modalities.[00:53:42] Right? Such that it can like reason across these different modalities. So for example, if I close my eyes and like you play a video, you play a sound of like a car skidding away from me. I almost can like, visually extrapolate that trajectory in my mind. And I think that type of capability, we want our model to be able to reason, right?[00:53:59] And that's the reason that [00:54:00] we're sort of taking this multimodal reasoning approach. It's like we want this combine late in space that can[00:54:05] swyx: Yeah. Oh, you said late in space. We like that. Here we have to play the, the bell Every time that someone says late in space, no, you gotta train daredevil one. Where you, you, you, it's only audio, but you have to work out.[00:54:15] Where everything is.[00:54:19] Cool. I I think that that was, that was about it for our Moon Lake coverage. I do think that we have like a couple of, Chris Madden questions on, on IR and, just any, any other sort of attention topics or n NLP topics.[00:54:31] Vibhu: Okay.[00:54:31] swyx: Go ahead.[00:54:32] Chris Manning's Journey: From NLP to World Models[00:54:32] Vibhu: Well, no, I mean, yeah, it's just fun. We talked a bit about how you guys met, but you basically, you, you were like the godfather of NLP per se, right?[00:54:39] You spent the whole career from early embeddings, early early attention. You did 2015 attention for machine translation, everything. You, you had information retrieval, so RAG before rag, we just wanna shout that out and admire a lot of that. Right? So what prompted the switch over to world models?[00:54:56] How, how'd all that come about?[00:54:58] Chris Manning: To some answer it [00:55:00] is, the enthusiasms and creativity of students, but there's a bit of a history there, right? So, yeah. So clearly most of my career has been doing stuff with language and how I got into research was thinking, ah, this is just so amazing how humans can produce speech and understand each other in real time.[00:55:21] And somehow they managed to learn languages from their kids. How could this possibly happen? And so, yeah, starting off I was very focused on language, but as it sort of got into the 2000 and tens, I started, going, I'd been working on question answering, and then I started to get, interest in visual question answering.[00:55:42] And that was an area where it was very noticeable. That the visual understanding was bad. Right. These were the days when like, it sort of seemed like there's almost no visual [00:56:00] understanding. You were just getting answers that came from priors. So, if you asked how many people are sitting at the table, it'd always answer two regardless of how many, how many people you could see in the picture.[00:56:11] And so it seemed like, oh, these models actually aren't able to get semantic information outta

On this episode, we’ll play an interview with Jerry Pilman and Louis Gibson, the owners of Artistic Marble in Huntsville, Alabama. These two, along with their partner BJ purchased the company over a year ago, and with it inherited more than just manufacturing equipment and a customer list. They gained a team with decades of combined experience and a... The post 266: Interview with Jerry Pilman and Louis Gibson of Artistic Marble first appeared on Cast Polymer Radio.

Wait it Gets Better is an Improvisational Storytelling Podcast   Join Levi and Reed as we discuss our latest story.   Questions? Comments?  Waititgetsbettercast@gmail.com

■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ あと６４曲となりました！！　 ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■あと６４日でこのプロジェクトが終わるということです…　淋しいですね。何したいかというと、この《ピアノ万葉集》用のピアノ音色セットを離れて、国宝とかのピアノ音楽のような美しいピアノ曲を練り上げてみたいのです。but keep a marble or a bronze repose - #4472 (98R59 perc..

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In this episode, Kelly Macken Marble, Chief Executive Officer of Osceola Medical Center, discusses expanding mental health and substance use services, investing in facility growth and specialty recruitment, and navigating Medicaid, 340B, and rural reimbursement challenges to sustain local access to care.

Kristin Thomas is the Founder of Marble Collective, an AI-powered platform transforming how women's leadership is preserved, amplified, and discovered to make remarkable women easier to find, follow, and book, ensuring their legacies endure. Backed by 300+ women leaders, including more than 70 founding investors, Marble centralizes each leader's media, milestones, and body of work into a living digital portfolio, redefining visibility and legacy for women everywhere. Kristin's two-decade career in real estate and her board roles at Cold Spring Harbor Laboratory and YFCA shape her mission to elevate women's impact at scale.

A teenager playing beer pong accidentally swallowed a bottle cap so we wanted to know...how'd that get in there?? Plus, Whip pulls a red card on aggressive youth sports parents in today's Hot Take. Catch up on everything you missed from today's show on The Morning Mix Podcast!Listen to The Morning Mix weekdays from 5:30am – 10:00am on 101.9fm The Mix in Chicago or with the free Mix App available in the Apple App Store and Google Play.Follow The Mix: The MixstagramGet the Free MIX App: Stream The MixSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode 564 - Shawn Kerr, Lost Marble Brewing

The boys are BACK, specifically James and Mike, from their respective trips! Also Marvel stuff is discussed, James' travels are discussed in detail, from Thailand, Cambodia, Vietnam and Japan!Advertise on Dynamic Banter via gumball.fmJOIN the Patreon: patreon.com/dynamicbanterGET the MERCH: dynamicbanter.clothingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When an American couple rents a charming Scottish cottage to escape tragedy, they discover a chilling local legend: the marble statues of two murderous knights rise from their tombs every Halloween night and return to the home that was once theirs. | Man-Sized In Marble | #RetroRadio EP0579CHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Man-Sized In Marble” (April 12, 1977) ***WD00:45:31.204 = Dimension X, “To The Future” (May 27, 1950) ***WD01:15:12.081 = The Strange Dr. Weird, “Revenge From The Grave” (May 15, 1945) ***WD01:27:20.451 = The Creaking Door, “Anna” (December 21, 1964) ***WD01:54:12.587 = 11th Hour, “Let the Play Begin” aka “Invitation to Death” (January 28, 1960) ***WD02:19:27.249 = Escape, “Conqueror's Isle” (March 05, 1949)02:48:53.811 = Everyman's Theater, “Cat Wife” (October 18, 1940)03:17:53.218 = Murder By Experts, “The Big Money” (July 25, 1949)03:47:18.939 = Exploring Tomorrow, “Made In Avak” aka “Fair Fight” (March 12, 1958) ***WD04:03:07.393 = Faces In The Window, “Pit And The Pendulum” (January 24, 1953) ***WD04:34:06.774 = Dark Fantasy, “Headless Dead” (January 23, 1942)04:58:26.224 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.Weird Darkness theme by Alibi Music LibraryABOUT WEIRD DARKNESS: Weird Darkness is a true crime and paranormal podcast narrated by professional award-winning voice actor, Darren Marlar. Seven days per week, Weird Darkness focuses on all thing strange and macabre such as haunted locations, unsolved mysteries, true ghost stories, supernatural manifestations, urban legends, unsolved or cold case murders, conspiracy theories, and more. On Thursdays, this scary stories podcast features horror fiction along with the occasional creepypasta. Weird Darkness has been named one of the “Best 20 Storytellers in Podcasting” by Podcast Business Journal. Listeners have described the show as a cross between “Coast to Coast” with Art Bell, “The Twilight Zone” with Rod Serling, “Unsolved Mysteries” with Robert Stack, and “In Search Of” with Leonard Nimoy.= = = = ="I have come into the world as a light, so that no one who believes in me should stay in darkness." — John 12:46= = = = =WeirdDarkness® is a registered trademark. Copyright ©2025, Weird Darkness.= = = = =#ParanormalRadio #ScienceFiction #OldTimeRadio #OTR #OTRHorror #ClassicRadioShows #HorrorRadioShows #VintageRadioDramas #WeirdDarknessCUSTOM WEBPAGE: https://weirddarkness.com/WDRR0579