Podcasts about Borg

We are Borg-ing it up in this episode's RANDOM ‘SODE, landing on STAR TREK VOYAGER'S third Season episode “Unity.” Then we move on to “Best & Worst Top Fives” of criminally-underrated animated STAR TREK: PRODIGY. Use the discount code TREKGEEKS for 10% of your entire order at FanSets.com. Spend more than $30 and automatically get free shipping in the U.S.!!!Drop us a line at secretfriendsunite@gmail.com and let us know what you're enjoying in the ‘world of nerd' and we might feature your comments on the show! Find us online at secretfriendsunite.com for ALL of our episodes, additional content and bios of our SFU Network stars!Hear Peter on STARSHIP EXCELSIOR at https://starshipexcelsior.com/episodes/#s6Subscribe to our podcasts on Apple and SpotifyHit us up on Threads, Instagram & BlueSky: @Secret.Friends.Unite, @Secretfriendsunite, @TheCeeThreeCheck out our LinkTree for all the ways to reach usGet all your SECRET FRIENDS UNITE merch at our Redbubble store! Click here

Sixteen years ago I started Bright Red Marketing with no idea what I was doing. In this episode I'm sharing the sixteen lessons that stuck, from learning I'm not for every client, to why chasing the algorithm makes you a worse advertiser, to the accountant conversation that changed everything. Some of it's about business, some of it's about boundaries, and one of it is about why a logo is not a brand.

Bob talks to Dr. Jane Bennett of Borg and Ide about screening hearts, lungs and prostates, and Bob talks about some Monroe County facilities closing due to poor air quality.

Debating RB Tiers on today's dynasty fantasy football podcast! Borg, Betz, and Jason discuss dynasty RBs comparing age, production, and future outlook among the top-24 RBs in the Footballers ranks. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for July 15th, 2026. DYNASTY PASS and 2026 Ultimate Draft Kit available now at UDKPlus.com

Our weekly show falls on July 9 — 7/9 — and how can we let that pass us by without talking about our favorite ex-Borg, Seven of Nine! We’ll take a look at her introduction and development on Star Trek: Voyager and how we picked up her story years later on Star Trek: Picard. We’ll […] The post Seven of Nine on 7/9 – Earth Station Trek – Episode 271 appeared first on The ESO Network.

Nyheterna 15:00

Borg, GitLost, ColdFusion, GodDamn, GhostApproval, OWA, Epaphroditus, Locutus, Josh Marpet, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-597

Borg, GitLost, ColdFusion, GodDamn, GhostApproval, OWA, Epaphroditus, Locutus, Josh Marpet, and More on this episode of the Security Weekly News. Show Notes: https://securityweekly.com/swn-597

Borg, GitLost, ColdFusion, GodDamn, GhostApproval, OWA, Epaphroditus, Locutus, Josh Marpet, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-597

Borg, GitLost, ColdFusion, GodDamn, GhostApproval, OWA, Epaphroditus, Locutus, Josh Marpet, and More on this episode of the Security Weekly News. Show Notes: https://securityweekly.com/swn-597

Debating WR Tiers on today's dynasty fantasy football podcast! Borg, Betz, and Mike discuss dynasty WRs comparing age, production, and future outlook among the top-36 WRs in the Footballers ranks. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for July 8th, 2026. DYNASTY PASS and 2026 Ultimate Draft Kit available now at UDKPlus.com

Chuck Todd and J.A. Adande tell you the INCREDIBLE story behind Wimbledon. It didn't just become the most prestigious tournament in tennis—it helped create the sport we know today. From a croquet club raising money for a broken lawn roller to becoming one of the most iconic sporting events in the world, Wimbledon has shaped the rules, traditions, legends, and culture of modern tennis for nearly 150 years. Chuck and J.A. trace the full history of the tournament, from its Victorian origins to unforgettable champions like Roger Federer, Serena Williams, Björn Borg, Martina Navratilova, Pete Sampras, Billie Jean King, Althea Gibson, Novak Djokovic, Rafael Nadal, Venus Williams, and more. Along the way, we explore how Wimbledon changed tennis forever—and why the sport wouldn't be the same without it. Whether you're a lifelong tennis fan or just discovering the magic of Wimbledon, this is the story behind the world's most famous tennis tournament. Timeline:(Timestamps may vary based on ad placements) 00:00 How Wimbledon Created Modern Tennis 07:09 Federer vs. Nadal: The Greatest Match Ever? 11:37 The Surprising Origin of Wimbledon 22:50 Wimbledon's Traditions Explained 35:35 The First Wimbledon Champions 55:08 Why Everyone Wears White at Wimbledon 01:11:00 Rod Laver, Billie Jean King & the Open Era 01:28:55 Althea Gibson Breaks Tennis' Color Barrier 01:43:00 Breakfast at Wimbledon & America's Obsession 02:08:13 Borg vs. McEnroe & Tennis' Greatest Rivalries 02:29:36 Federer, Serena & the Greatest Champions 02:53:40 Our Wimbledon Mount Rushmore 03:01:10 Why Wimbledon Still Defines TennisSee omnystudio.com/listener for privacy information.

On today's programme, we examine the latest developments in the Brooke George case, as her family continues their fight to prevent the British national from facing a firing squad in Indonesia. We also discuss the serious crimes  involving the Norwegian Crown Princess's son and Epstein connections, Marius Borg Høiby, and take a broader look at the latest UK royal controversies making headlines.Follow Paula M -    / @paulamchannel  FOLLOW RON SWANSON / PROJECT ROOQ

Day 6 of our Wimbledon 2026 daily live series, recorded inside the grounds. Brought to you by Novellus.Live every night at 9pm UK across the Wimbledon fortnight, with Wimbledon champions, tennis icons and special guests joining Dan to break down the day's biggest stories from inside the grounds at SW19.In this episode:Major Moments (brought to you by SotoTennis Academy): a day of women's upsets and a British wildcard writing history on Court 18Iga Świątek out to Alexandra Eala 7-6, 6-2, the first Filipino ever into the second week of a Grand SlamRybakina beaten by Elise Mertens 7-6, 6-1 on a poor day at the office, with only 42% of first serves in playAmanda Anisimova out to Madison Keys 3-6, 6-2, 6-3, last year's finalist goneArthur Fery beats Zizou Bergs 2-6, 7-5, 2-6, 7-6, 7-6 in four and a half hours to become only the sixth British male in the last 40 years to reach Week 2 at WimbledonTennisAthlete Player of the Day: Alexandra Eala, seven years at the Rafa Nadal Academy, her body and mind built for the biggest stageDanny Sapsford joins the show on his 1999 Wimbledon run through pre-qualifying, qualifying, and into the third round to face Pete Sampras on Court OneDanny on why he decided not to warm up for the biggest match of his life, and what it was like standing across from Sampras' serve for the first timeDanny on retiring at 30 to become an LTA coach, and the charity work through Bright Ideas for Tennis that has raised over £1 million and coached 30,000+ playersThe Wimbledon Quickfire with Danny: his memory of standing on Centre Court behind Björn Borg as a kid, his favourite ever champion, and the strawberries and cream questionThe Andrew Foster story, the last British wildcard to make Week 2 at Wimbledon in 1993, whom Danny had run into that very dayA special moment on the doubles side: Julian Rojer, 45 years old, five-time Slam doubles champion, into R3 with Theo Winegar in a properly told journeyman storyDear Dan: the next Grand Slam winner from the current generation, and Dan's favourite moment of Week 1Tomorrow on the show: Jonathan Overend joins Dan, the broadcaster who commentated on Andy Murray's first Wimbledon title in 2013, ending Britain's 77-year wait for a men's singles champion.About Control the Controllables Wimbledon LiveDan Kiernan and a different special guest every night, bringing you analysis from inside the grounds at Wimbledon. Wimbledon champions, tennis icons, players, coaches and analysts join across the fortnight. Live every evening at 9pm UK on the CTC YouTube channel. Episodes drop as podcasts the next morning wherever you get your podcasts.Send your Dear Dan questions via Instagram @ctc.podcast or email info@sototennis.com.Brought to you by Novellus.Major Moments segment brought to you by SotoTennis Academy. Visit sototennis.com.Player of the Day brought to you by TennisAthlete, age-appropriate, research-backed strength and conditioning programmes from proven S&C coaches. The platform Dan recommends for physical development. Visit sototennis.com/tennisathlete.

Hard News on Friday with Tara Green and Rama Arjuna and guests Fireworks, War, Earth's Greatest Enemy, and the Power of Peace A Sacred Opening With Rainbird and the Mayan Calendar This episode of Hard News on Friday opens with Rainbird guiding listeners into heart space around a symbolic council fire with guides, ancestors, spirit teams, and totems. She identifies the day as 11 Kimi, the White Spectral Linker of Worlds, and describes its themes of release, liberation, equalizing, opportunity, and death. Rainbird then walks listeners through the energetic qualities of the week ahead in the Mayan calendar, including Manik for healing, Lamat for vision, Muluc for a new wave, Oc for unconditional love, Chuen for playful magic, Eb for human service, and Ben for strength and dimensional focus. Donations, Community Support, and the Talking Stick After a drumming journey, Rainbird gives housekeeping information for listener support, including BBS Radio fees and direct assistance for Tara and Rama. She explains how listeners can donate through BBS Radio, PayPal, or mail, and she names specific practical needs such as utilities, living expenses, and phone-service costs. Rainbird then passes the symbolic talking stick to Tara and Rama, describing it as filled with Fourth of July imagery, fireworks, flags, feathers, fairies, Native American symbolism, and soccer balls representing the world coming together. Saint Germain, the Founding Fathers, and a New Heaven and Earth Rama and Tara begin by connecting the nation's 250-year celebration to spiritual history, saying the Founding Fathers were helped by Saint Germain and, in Rama's telling, that George Washington had contact with Galactics at Valley Forge. They frame the Fourth of July not only as a national anniversary, but as part of a larger spiritual story involving a new heaven, a new earth, and the evolution of democracy. Rama then shifts toward “hard news,” introducing a recorded interview with Abby Martin on the U.S. military, war, empire, environmental destruction, and the documentary Earth's Greatest Enemy. Abby Martin, Project Censored, and the Military as Earth's Greatest Enemy The longest news segment is a recorded interview from the Project Censored Show with Mickey Huff and Abby Martin. Martin discusses her film Earth's Greatest Enemy, which argues that the U.S. military is one of the planet's most destructive forces through emissions, toxic contamination, nuclear weapons, Agent Orange, fossil-fuel enforcement, military bases, and war-related ecological damage. She connects militarism to capitalism, climate destruction, Gaza, Iran, Okinawa, police militarization, Cop City, and the normalization of endless military budgets. Mickey Huff adds historical context involving Smedley Butler, the permanent war economy, Iran, Guatemala, the CIA, and the way corporate media often hides or flattens that history. Anti-War Solidarity and the Call to Act The Abby Martin segment also focuses on what people can do in the face of militarism, propaganda, and despair. Martin says the answer is solidarity, love, humility, support for trustworthy independent journalism, local organizing, and movement building. She urges people not to doomscroll themselves into helplessness, but to join organizations, support divestment campaigns, host screenings, and use the documentary as a tool for consciousness expansion. The interview closes with Martin encouraging people to support both Earth's Greatest Enemy and her film Cuba After Castro, while Huff congratulates her on receiving the Izzy Award. Mother Sekhmet on Peace, AI, and the Power of the People After the interview, Tara invokes Mother Sekhmet, who speaks through Rama with a message about peace, compassion, unified consciousness, and the people's power. Mother Sekhmet says the old systems are obsolete and that humanity is being asked to choose love over war. She criticizes corporations, artificial intelligence, and what she calls hive-mind or Borg-like systems, contrasting them with living spirit and the temple of the human body. Tara and Mother Sekhmet also discuss social democracy, younger political leaders, Bernie Sanders, AOC, Trump, the violet fire, Lady Liberty, Lady Freedom, and the ascended masters as part of a larger spiritual transformation. Kryon, Crystals, Frequency, and the Closing Blessing The final segment features a recorded teaching from Kryon titled “What Do You Know About Crystals?” Kryon speaks from the Wagner Crystal Mines in Arkansas and explains crystals as holders of frequency, energy, consciousness, and benevolent Gaia-based resonance. The teaching connects crystal sets, radio reception, consciousness as energy, programming crystals, healing frequencies, and the idea that science may one day better understand how crystals store and transmit frequency. Rama and Tara close the program with aloha, namaste, peace, and a reminder that listeners can join them again the next day.

We continue our investigation and analysis of Ismael Perez in this part II episode. In an interview with Secret Space Program dance champion James Rink, super loser Ismael Perez says all of his super powers come from Star Wars, Star Trek, Stargate, Halo, Marvel, DC, and pretty much every other cultural iconic science fiction. Perez even claims to have fought the BORG. However, this media was only released to discredit his story! Also, does he run a sex cult?*The is the FREE archive, which includes advertisements. If you want an ad-free experience, subscribe below.

Borg: • https://on.soundcloud.com/QMbwLoYhmmejvIDMoL • https://www.instagram.com/borgonline?igsh=MTI3MnRnY2s1a2xmcw== RTS.FM • https://t.me/rtsfm • https://soundcloud.com/rtsfm • https://rts.fm/ • https://facebook.com/rtsfm • https://instagram.com/rts.fm • https://vk.com/rtsfm • https://youtube.com/user/rtsfmmoscow RTS.FM is the first international internet radio project with LIVE audio-visual broadcasting from 30+ studios around the world!

Världens kändaste moraltest är tillbaka när Lisa Borg gästar vardagsfilosofiska rummet och Tina Mehrafzoon ger oss en rykande färsk liverapport från Roskilde. Lyssna på alla avsnitt i Sveriges Radios app. Avsnittsbeskrivning:Vi avhandlar världshistoriens mest oromantiska frieri och skickar passningen vidare till lyssnarna som skickar in historier på det mest oromantiska de har varit med om. Bella tar med oss hem till hennes Göteborg och skabbutbrottet på Chalmers. Veckans filosof, Lisa Borg dumpar sällan, tolererar det mesta och bröstar dilemmat som det vore ingenting. Skådespelare som bestämmer sig för att ge sig in i musiken, räcker det med ett stort kulturellt kapital, hjälper det ens att vara skådis först eller kan det till och med slå åt andra hållet?Tina Mehrafzoon ger oss en regnrapport från Roskilde. Besökare springer efter sina tält, handdukar kramas ur och gummistövlarna är på - men danskarna, de klagar inte! Programledare: Assaad Daoudi och Isabella Mansour

Bench Warfare on today's dynasty fantasy football podcast! Borg and Betz talk through dynasty bench strategy and how to manage expectations with non-starters on your team. They also discuss which NFL offensive scheme changes they are paying attention to this off-season. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for July 1st, 2026. DYNASTY PASS and 2026 Ultimate Draft Kit available now at UDKPlus.com

Welcome to another Edge of Show episode. Today we have a very special throwback edition of our Edge of AI Podcast! In this episode, host Ron Levy sits down with renowned digital artist and global cultural leader Krista Kim to explore the intersection of human consciousness, meditative digital art, and individual data rights in a post-AI world.In this episode they both have a conversation on how technology has quietly replaced religion, philosophy, and art as the true driver of human culture. We've traded raw human contemplation for addictive apps engineered to harvest our attention like a product, triggering what is arguably the heaviest mental health crisis in our history.Krista also maps out exactly how we can push back through absolute data sovereignty. Discover her vision for carrying the ancient spiritual traditions of Zen monks into the 21st century, bypassing the giant corporate "Borg" with private, offline LLM guardians and mapping unhackable digital spaces directly to the unique rhythm of the human heartbeat.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comDouble your team's efficiency with COCO. Hire dedicated AI employees for copywriting, research, and CRM. Use code REF-W8CBVH for an exclusive 5% off your first order: https://coco.xyz/dashboard/hire/plan?ref=REF-W8CBVH Do you want to grow a business? Go from an idea to livebusiness in minutes. Use our Referral code: edgeof to 50% off your first month at https://www.willo.ai/When you purchase through these links, we may earn a commission. ____

Spoilers for all books in the Moonfall SeriesIn this episode, Lexi and Nicole dive into the WILD reveals we get in this stretch of chapters! Raeve and Kaan finally start laying all their secrets on the table, including her blood bind, Borg, and the truth behind the runes covering her body. We also meet our new favorite character, Ahvi, with his dragon hatchling! Meanwhile, Kyzari suffers another devastating blow at Arkyn's hands, new clues about Veya's whereabouts come to light, and the gang arrives in Gore searching for a way to break Raeve's bind once and for all. And just when you think things can't get any crazier, Pyrok stumbles across a very familiar redhead hiding in Raeve's old home… welcome back, Essi! We have SO much to unpack this episode!CHECK OUT THE FANTASY FANFELLAS PODCAST FEED: https://open.spotify.com/show/2JVloDSbL0b6NSeztH88PA?si=cb02cb48bd0e4f7fCHECK OUT THE FANTASY FANREADS PODCAST FEED: https://open.spotify.com/show/5Mb1aFjzrH35xHWfWQHpCM?si=6dbaf579009d4961Pre-order OATH OF THE CHOSEN: https://amzn.to/4v3QMo3Join the FanClub: https://fantasyfangirls.com/fanclubShop our merch: https://fantasyfangirls.myshopify.com/Support the show through our Amazon Shop: https://www.amazon.com/shop/fantasyfangirlspodcastNewsletter: https://fantasyfangirls.com/newsletterWebsite: https://www.fantasyfangirls.com/ Upcoming events:* FFG Live Show in Chicago, IL: Sept 9th, 2026 - Get tickets here!The Dragon Gauntlet - Chapter 3: Use code FFG15 at checkout to get $15 OFF!FFG Live Show in Charlotte, NC: Sept 24th, 2026 - Get tickets here!FFG Live Show in NYC: Sept 27th, 2026 - Get tickets here!ACOTAR 6 Release Party in Denver, CO - Get tickets here!ACOTAR 7 release party in Denver, CO - Get tickets here!LandCon in Edinburgh, Scotland: July 16-18, 2027 - Get tickets here!Listen now:Spotify: https://open.spotify.com/show/24KydMMzrYfVpDggkFZx4j?si=fd7dc956393041b8Apple Podcasts: https://podcasts.apple.com/us/podcast/fantasy-fangirls/id1706179464YouTube: https://www.youtube.com/@fantasyfangirlsFollow us:Instagram: @fantasyfangirlspod⁠⁠⁠⁠⁠TikTok: ⁠⁠⁠⁠⁠@fantasyfangirlspod⁠⁠⁠⁠⁠Fantasy FanFellas: @fantasyfanfellasFantasy FanReads: @fantasyfanreads Hosted on Acast. See acast.com/privacy for more information.

Most engineers think reliability means avoiding outages. Vlad Leyberov learned the opposite lesson: sometimes you have to intentionally cause a 100% outage to fix the system faster.Vlad is a Site Reliability Engineer (SRE) at Google, running systems that handle billions of requests per second. Before Google, he kept critical infrastructure running at Meta (billions of events a day) and Amazon (millions of Alexa devices).In this conversation, we dig into cascading failures, incident responses, why consistency beats speed, how AI changes reliability engineering, and the philosophy behind running systems where downtime doesn't feel like an option.Topics Discussed:How cascading failures propagate unpredictably in distributed systems (like nature, not machines)Incident responses: virtual panic rooms, on-call, paging procedures, and how to narrow down failure pointsThe Alexa incident: why dropping an entire DynamoDB table was the right callCritical User Journeys (CUJ): measuring end-to-end customer experience vs individual SLOsCareer journey from the USSR to maritime academy to business degree in Australia to SRE at Amazon, Meta, and GoogleWhy consistency in API response times beats raw speedHow AI makes it dangerously easy to create complex systems with poorly understood interactionsScience fiction, the Borg as a distributed system, and the Three Body Problem trilogyHot takes on reliability: all software development is maintenance, overrated 9s, underrated global failure modesGeneral Podcast LinksWatch: https://www.youtube.com/@alexasinput Read: https://alexasinput.substack.com/ Listen: https://creators.spotify.com/pod/profile/alexagriffith/ More: https://linktr.ee/alexagriffithLearn more about the hostWebsite: https://alexagriffith.com/ LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about Vlad LeyberovLinkedIn: https://www.linkedin.com/in/vladleyberov/ Google SRE NYC Tech TalksResourcesGoogle SRE Resources:Google SRE Book: https://sre.google/books/Google Cloud Platform: https://cloud.google.com/Google Cloud Build: https://cloud.google.com/build (service discussed in outage story)Google Cloud Pub/Sub: https://cloud.google.com/pubsub (Vlad's previous role, billions of requests/second)Sci-Fi Books Mentioned:Three Body Problem trilogy by Liu Cixin (Vlad's current favorite)Foundation series by Isaac AsimovLeft Hand of Darkness by Ursula K. Le GuinSnow Crash by Neal StephensonInternal Google Systems Referenced:Borg: Google's internal cluster management system (Kubernetes predecessor), named after Star Trek BorgDynamoDB: AWS distributed key-value store (used in Alexa poison pill incident)Intro Music:PR1BVOV7R4F1ASZC

Útvarpsþátturinn Fótbolti.net er frumfluttur í hlaðvarpi á föstudegi þessa vikuna. Umsjón: Elvar Geir og Tómas Þór. Víkingar voru ekki sáttir þrátt fyrir 4-1 sigur í Kópavogi, úrvalslið umferða 1-11 í Bestu deildinni er opinberað... og líka vonbrigðaliðið! Gestur þáttarins er Óskar Borgþórsson sem hefur verið gjörsamlega frábær með Víkingum. Þá er sigur Íslands gegn Englandi 2016 rifjaður upp og farið yfir gang mála á heimsmeistaramótinu sem nú stendur yfir.

At long last, the adventurers are rapidly approaching the Skin Witch's hut. What pitfalls can they avoid, physically and socially, as they seek to bring this adventure to an equitable close?Fe Borg is a Mork Borg compatible game of horror in the fae wilds by Shawn and Navi Drake of A Couple of Drakes. The game is available at their itch.io. The scenario is based on The Skinwitch's Grotto, included in the book.Dan - GMAdam - Saint The Hunter / Warrior PoetGreg - Rain The Beauty / Fairy-LoverJared - River The Pale / True DruidKay - Ainsel / Pope Julius II

Most shop owners who hit 50 employees, steady profit, and a fourth generation coming up behind them would be tempted to coast. Andrew Borg decided to double down instead. Not because he has to, he's quick to say the shop is profitable right where it is, but because he wants to build something that outlasts him.  A big part of that answer is automation. Borg Design runs a fleet of cobots that load parts and pallets around the clock, and Andrew's goal is to double sales while only growing headcount by about half. We get into how they keep machines running 80 to 95 percent of the time over a seven day week, why the hard part isn't building the system but figuring out what it does when a tool breaks at midnight, and how six full-time mechanical engineers fit inside a machine shop. We also dig into CMMC. Borg Design earned its Level 2 certification this year, and Andrew is refreshingly honest about the cost, the false starts with vendors, and the one employee who basically read the entire standard and wrote their package. He shares why the inbound calls from primes only started showing up after they were certified, and the sub-tier problem that still keeps him up at night. Then there's the people question—which might be the most useful part of the whole conversation. Andrew has stopped trying to hire high-end machinists, because in his words they don't exist on the open market. Instead he hires for work ethic and values and builds machinists over years. If you're wrestling with the same thing, you'll want to hear how he thinks about the path from operator to programmer. This is the kind of conversation that's the whole reason I do this show. A smart, transparent owner sharing exactly how he built something real, and where he's still figuring it out. Grab a notepad. You'll fill a page. What's Covered in this Episode (0:00) Meet Borg Design: 50 people, 50 machines, fourth generation, CMMC Level 2 (4:35) Why a machine shop keeps six full-time mechanical engineers on staff (6:25) The origin story: a 1945 garage shop passed down three generations (8:14) Outgrowing four buildings on the way to 58,000 square feet (10:45) Working with primes, and the danger of being loved to death (12:35) What CMMC Level 2 really cost: five years, false starts, bad vendors (15:18) The consultant and the one employee who wrote the whole package (20:08) Take your shop to the next level with DN Solutions high-end machining solutions (21:19) Why the inbound calls from primes only came after the cert (23:04) The 50-employee, 50-machine ratio, and the plan to double through automation (29:42) Building a workforce: who can program and who's still learning (31:11) 1,500 unique jobs a year and 70 percent new revisions (33:04) Why we're leveraging Navu to answer tough questions  (34:16) Should you separate prototyping from production? (36:06) Why Andrew stopped hiring high-end machinists and builds his own (39:52) Standardizing and automating smaller volumes of parts (42:35) The tension between shipping today and building for tomorrow (44:50) 4X growth in six years and why revenue can be misleading (47:55) How relationships and word of mouth built the customer base (51:34) Where AI fits in the shop today, and where it doesn't yet (52:44) How procurement is a critical piece of the puzzle  (56:54) Giving your team the right tools to make decisions (59:28) Andrew's best strategic moves: the building, automation, and people (1:01:40) The macro outlook for machining demand in North America (1:03:53) Why we created Hire MFG Leaders (and why you should use it) (1:04:24) The trades comeback and why training your own people wins Resources Mentioned Borg Design DN Solutions Navu Hire MFG Leaders Kieri Consulting Connect with Andrew Borg Borg Design website Email Andrew

This week on the SL Man Podcast, Harvey is joined by tennis legend Tim Henman and SLMan contributor, Hector Lopez-Valido for a conversation ahead of Wimbledon.Tim reflects on the moments that shaped his career – from watching Björn Borg on Centre Court as a six-year-old to beating Roger Federer at Wimbledon and becoming one of Britain's most beloved sporting figures. He shares stories from inside the locker room, reveals what life on the ATP Tour is really like and explains why camaraderie is what he misses most about professional tennis.The trio also discuss the evolution of the game, the unique atmosphere of Wimbledon, Tim's role with the Laver Cup and the players he considers the greatest of all time. Plus, they talk London life, pub ownership, Lime bikes, favourite books and restaurants and there's even a quick-fire round covering everything from Novak Djokovic and Serena Williams to Melbourne, backgammon and darts.Get SheerLuxe Straight To Your Inbox, Daily | http://sheerluxe.com/signup PANELTim Henman |The Laver Cup | https://lavercup.com/Harvey James |@harvjam |  https://www.instagram.com/harvjam/?hl=enLacoste Linen Blend Polo | https://go.shopmy.us/p-66327474MOSS Tweed Trousers | https://go.shopmy.us/p-66332659ALOHAS Brown Leather Sneakers | https://go.shopmy.us/p-66332853Hector Lopez-Valido | @hecchatswhips | https://www.instagram.com/hecchatswhips/?hl=enUniversal Works Waistcoat | https://go.shopmy.us/p-66330559Uniqlo Crew Neck T-Shirt | https://go.shopmy.us/p-66330739Maison Margiela Replica Sneakers | https://go.shopmy.us/p-66333413Nico II Sunglasses | https://go.shopmy.us/p-66333657THINGS WE'RE LOVINGClarkson's Farm | https://www.primevideo.com/detail/0OT6JCWNTHGSU7KAL5EBV7UJ5PFowl | https://fowlrestaurant.com/Serrica Ref. 7505-1 | https://go.shopmy.us/p-66331301Wordle | https://www.nytimes.com/games/wordle/index.htmlOlivier At The Chequers | https://www.olivieratthechequers.co.uk/‘London Falling' By Patrick Radden Keefe | https://go.shopmy.us/p-66334738Merienda Bakery | https://www.merienda.uk/Rafa | https://www.netflix.com/gb/title/81785900

Grok says: “Lock and load, warriors of the digital battlefield—this week's Unrelenting drops you straight into the shit where the AI bubble is blowing up harder than a rigged demo charge. We tear into how the machine-learning monster is jacking RAM and spinning-rust prices sky-high while the little guy gets left holding the empty mag. Local LLMs are running circles around the cloud paywalls, Grok is promising full-length movies by year's end, and the old-school TV and Hollywood empires are already circling the drain. We also break down why Starship Troopers and Born in the USA still own the culture wars, why physical media is getting fragged by bit rot and corporate rentership, and how one man's Mac Mini relay setup is turning Thunderbolt into a 40-gig command pipeline for offloading LLM ops. Then the op tempo ramps up when we hit the real-world intel drops—Tulsi's Fauci dossier lighting up the lab-leak cover-up, worldwide bio-weapons programs, and the mRNA public test that turned the entire population into unwitting guinea pigs. We roast the Taylor Sheridan content factory, pumping out Yellowstone prequels, hot-blonde mandates in every series, and frozen-meal marketing ops while the rest of us are still trying to figure out why the Obama library looks like a Borg prison ship that cost a billion dollars. Personal war stories hit hard too: early Bitcoin mining rigs tossed like spent brass, Star Citizen “investments” turning seventy-five bucks into game-world profit, Twitch empty-chair swatting protocols, and the time a traffic stop turned into a full police escort because the system flagged the driver as someone you don't fuck with. If you're still sitting on the bench playing video games and eating Cheetos while the world burns, you're already behind the power curve. Strap in, hit play, and absorb the unfiltered after-action report on local AI setups that actually work, podcast automation hacks that turn transcripts into viral clips, and the raw truth about who's really running the show. This is the kind of no-BS, balls-out intel that separates the operators from the spectators—download it, share it, and get your head back in the fight before the next wave rolls in. Unrelenting doesn't relent. Neither should you.” Unrelenting: where discipline means no mercy, no bullshit, and no excuses. Thanks for listening. Please support the show! –>> DONATE NOW

Last 4 days before regular tickets sell out at AI Engineer World's Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make the most of ones we already have.The fact that a frontier lab like xAI could be running at sub-10% MFU (Model FLOPs Utilization) is just a hint at what the real problem may be.For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached around 46%. And our guest Anjney says best-in-class MFU today is closer to 60–70%.It's not necessarily that xAI is uniquely incompetent (it's clear they have talented folks) but rather the priorities may be flipped in the GPU arms race.While GPU access is a bottleneck, simply increasing CapEx won't automatically translate to better models as frontier AI is increasingly a systems problem: scheduling, utilization, networking, kernels, frameworks, data pipelines, parallelism, cluster reliability, and the thousand small decisions that determine whether your theoretical FLOPs become real training progress.From building Discord's developer platform and backing frontier AI companies like Anthropic, Mistral, Black Forest Labs, and Periodic Labs to now building AMP's independent compute grid, Anjney Midha has spent years close to the real bottlenecks of AI scaling. In this episode, Anjney joins swyx at Periodic Labs to unpack why the AI race is not just about buying more GPUs, why 95% utilization would have been considered an outage at Google, and why the next era of AI infrastructure has to be more aligned, more efficient, and more responsible.We go deep on AMP's vision for a compute grid that makes FLOPs flow like megawatts, the difference between full-stack AI labs and horizontal pooling, why AI data centers need community buy-in, and how compute markets could evolve into something closer to an independent system operator. Anjney also explains why DeepMind's unpublished research points to a market failure, why end-of-life prediction remains one of the most important AI applications he has thought about for fourteen years, and why “output maxing” may become a new discipline for frontier systems.We also discuss Anthropic's culture, why “luck favors the prepared mind” in coding models, how Claude cracked coding, why too much capital too early can make AI labs fragile, what Periodic Labs is trying to do with science and superconductors, why great researchers can become great CEOs, and why Silicon Valley is both deeply missionary and deeply mercenary.We discuss:* Why 95% utilization was considered an outage at Google* Why AI infrastructure waste compounds at frontier-lab scale* Why “move fast and break things” does not work for AI data centers* How data center backlash, power grids, and community incentives shape AI scaling* AMP's vision for making FLOPs flow like megawatts* Why compute needs an independent system operator* How interruptible demand and dynamic prioritization worked inside Google* Why DeepMind research hoarding creates negative externalities* AMP's 1.2GW base-load ambition and the need for 6GW of spike capacity* Why end-of-life prediction could become one of AI's most important healthcare applications* Frontier Systems, output maxing, and full-stack alignment* Why APIs and abstraction layers become lossy as organizations scale* Superconductors, standards, and the dream of lossless systems* SF Compute, open protocols, and the future of compute marketplaces* Why non-NVIDIA chips can still benefit from NVIDIA's reference architecture* Trust boundaries and why chip startups need visibility into future model architectures* Why VCs often underestimate researchers as CEOs* Scientists as star athletes of the mind* Why great CEOs need to be confrontational up and down the stack* Why leading the frontier matters more than “winning”* How Anthropic cracked coding* Why culture is fragile, not a permanent moat* Why hardship was a feature, not a bug, for Anthropic* Why Anthropic's P0 was coding from day one* Periodic Labs, physics as the constraint, and technical reality* Silicon Valley mercenaries, missionary teams, and what happens after a breakthroughAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney* X: https://x.com/AnjneyMidhaAMP PBC* Website: https://amppublic.com/* X: https://x.com/amppublicTimestamps00:00:00 Introduction00:00:09 Why AI Compute Is Being Wasted00:03:17 Responsible Infrastructure and Data Center Backlash00:06:07 AMP Grid: Making FLOPs Flow Like Megawatts00:12:41 Foundry, Frontier Labs, and Research Hoarding00:14:42 Gigawatt-Scale Compute and End-of-Life Prediction00:24:08 Frontier Systems, Output Maxing, and Alignment00:27:38 Compute Markets, SF Compute, and Non-NVIDIA Chips00:32:57 Trust Boundaries, Co-Design, and Researcher CEOs00:38:17 AI Coachella and First-Principles Thinking00:42:43 Leading vs Winning in Frontier AI00:45:54 How Anthropic Cracked Coding00:48:25 Culture, Hardship, and Anthropic's P000:54:03 Periodic Labs, Physics, and Silicon Valley Mercenaries00:56:26 Rishi Valley, Singapore, and Money as a Measure00:58:47 Closing ThoughtsTranscriptIntroduction: Anjney Midha, AMP, and Compute WasteSwyx [00:00:00]: We're in Periodic Labs with Anjney Midha, CEO, founder of AMP. Welcome.Compute Utilization: Node Allocation, MFU, and AlignmentAnjney [00:00:09]: Thanks for having me. At Google, there are two types of utilization usually, right? That you're measuring in these clusters. One is node allocation, and then the other's MFU. Node utilization is usually like what percentage of cards in the data center are just, used, and that, if it's not at, 95%-Swyx [00:00:29]: There is no excuseAnjney [00:00:29]: There's no excuse, right? I think 95% at Google, which is where my co-founder, Seb, came from, he built the Borg, PBorg/GQM scheduler at Google, and there I think 95% was considered an outage, so 96% node utilization is, should be standard. And most single-tenant clusters are not running at that. So that's one. And then MFU should be, I would say the best in class today is somewhere between 60 and 70%. I think this is a leadership question, right? Fundamentally it's an alignment question, which is are the people who are funding the cluster and then deploying the cluster actually aligned? And sometimes theoretically they are, but in practice the number of people in the chain, the supply chain between, the capital and all the way to whoever's managing the cluster and then whoever's measuring what the output is, are just so many, degrees of separation away that, the, The Have you ever heard the radian metaphor, which is at the beginning of an arc, if you have two arcs that are two lines that are just off by a few degrees, that-Swyx [00:01:33]: It spreads outAnjney [00:01:34]: It spreads out, right? Or at scale. And I think what's happening is a lot of cluster implementations and infrastructure, a lot of frontier labs and other teams, that's what's happening, is they're, they initialize the plan, which is kind of like North Star with a team that wants to do good, but then they're, required to scale so fast instead of iteratively that the wastage just compounds really fast at scale. And so I think we know the answer, which is just do iterative bring ups. If you spend time with people who've been in the semiconductor industry or the DSN industry for a long time, this is not new, and I don't think AI should be an excuse. Sure. Something What is new? Okay. We have a lot of new capabilities, but that doesn't mean just abandon common sense. Common sense should always be in fashion. ? AI scaling doesn't change the in fact, if anything, AI scaling should be putting a premium on the value of common sense and infrastructure because the margin of error now is so much lower and the costs of wastage are so much higher. And the cost of wastage, by the way, is not just economic. I'm, obviously I'm, I'm an investor, or I'm an investor by background. Over the last few years now we're running an AI infrastructure business called, AMP. And I think that it's okay to say this time is different on the capabilities front. We are genuinely getting capabilities at, of the, of a kind we haven't had before. That doesn't give you an excuse to say this time is different for everything, especially infrastructure. So look, I love the hacker mindset and the hustler mindset. Now, that's great for the startup mindset, but you remember this moment where Zuck went from saying, “Move fast, break things” to, move-Responsible Infrastructure and Data Center BacklashSwyx [00:03:10]: Fast and stable infrastructureAnjney [00:03:11]: Move fast with stable infrastructure. I think now we need to move fast with, responsible infrastructure. People are going to ask where the impact is. There was a really In our class yesterday, Scott Nolan, who's the founder of General Matter, came by at Stanford to speak about energy bottlenecks. And he had a phenomenal idea. He said, “if you look at the marginal unit economics of compute per hour,” he goes, “let's call it, $4 an hour. If you're having to bring up a new data center in a new community, why not just say we're going to charge 4.50 an hour, and that marginal impact or that marginal increase, we just literally take that and give it to the local community as cash?” I can tell you as a customer of that compute, I would love that. I'd be happy to pay an additional 50 cents per hour at scale.Swyx [00:03:57]: Wow. Yeah.Anjney [00:03:58]: Because if that means the public benefit is so clear to the communities that the data centers are coming up in, I'm going to feel like that compute is much more reliable. Up to 20% of all data centers this year in the US, my understanding is are at risk.Swyx [00:04:13]: Of community backlash?Anjney [00:04:14]: Correct. Of not getting the community support they need to get brought up.Swyx [00:04:19]: Wow. That's a huge number.Anjney [00:04:20]: Yeah. Now, we, I think we should dig into what that number is. I think it's a little bit of overstated. These things can get over-reported, but it-Swyx [00:04:27]: They don't just care about jobs. They care about all the other stuff around it, right? They care about power grid, they care about environments-Anjney [00:04:33]: Power grid, permitting, and so on. And imagine I think if you said there's a new AI deal. If we're bringing up a data center in your community, we're actually going to reduce the cost of your electricity bill. Okay, now we're talking. Right? The community's going, “Okay. Now this is a deal. I feel like a partner in this.” Right now that's not happening. There will be audits, there will be investigations, and when the, when the regulators come, I don't know when it's going to be, the folks who are moving fast and breaking things in the name of AI progress better be prepared. That's certainly not how we're procuring compute. Or we're, we're trying as much as we can to work with partners who have long-term track records. Many of whom, by the way, are not, AI providers. I think this whole idea of neoclouds being somehow this new category is a lot of marketing speak. There are really good, reliable, trusted data center providers in America who've been around 20 plus years. I love those folks. They know how to Sure. Are they sponsoring happy hours at NeurIPS? No. Are they legibly listed in Build? No. Are they hanging out in my, in, situational awareness parties? No. But they're adults. I trust them.Swyx [00:05:44]: They can run LAN. They can run power.Anjney [00:05:45]: They can run LAN, power, and shell. They have credit histories. We sit down, we have a conversations. Many of them live in Silicon Valley. They've, they've had to deal with the boom and bust cycles of the internet, and I love those folks. They are stable infrastructure partners and thinkers. And I think there's a lot of short-term thinking going on in the compute layer, and it's going to catch up to us. It's not going to be good.AMP Grid: Making FLOPs Flow Like MegawattsSwyx [00:06:07]: You talk about aligning incentives, and, I would think that aligning incentives means you have the full stack in one company, which is xAI and OpenAI, right? So you as a standalone infrastructure layer, why are you somehow more aligned to your portfolio companies than people who just own the whole thing?Anjney [00:06:28]: In systems design, right, there's, there's two regimes of, architecture, right? You have integration, and then you have pooling and utilization, right? So the Or rather, the way to increase utilization often is you can do systems integration where you collapse a lot of process into one node, or you can pull out a process from a node and share that amongst various That resource amongst several different nodes. And so we see the AMP grid, which is, the, what, the system we're building here, which is basically a compute grid. We're trying to do for compute what the electric grid-Swyx [00:07:02]: PowerAnjney [00:07:02]: Yeah, what the power grid did for electricity. It-- this is a pooling and utilization layer across clouds, And so we're actually the opposite of a full stack integration like approach.Swyx [00:07:12]: Super horizontal.Anjney [00:07:13]: Where it's much more horizontal and it's, it's multi-cloud, it's multi-silicon. The goal is to try to make FLOPs flow like megawatts, and that is very hard to do today for many reasons. There's stranded pools of compute all over the place and there's no fungibility. And so right now we do it at the level of scheduling, and we often do it at the economic layer. But as we start to announce what we're working on, it's extraordinary like how many folks are coming out of the woodworks and saying, “Hey, I'm actually working on a way to make compute fungible at this part of the stack and that part of the stack.” And as a grid, we'd like all of these folks to participate on the grid. There's, people often ask me, “Andra, are you a new cloud?” And I go, “No, actually neoclouds are suppliers.” sometimes they'll ask, “Are you a venture capital firm?” I go, “No, actually they are, they are demand like sort of off-takers of the grid.” We see ourselves as what's called an independent system operator. So if you study the history of the electric grid, once it became legible to a lot of factories and industrial sort of participants that, hey, actually it turns out pooling is a good idea. We should pool our generators instead of all having a generator running at half capacity in our backyard. There was a need for an independent entity who could coordinate all these parties. Transmission line, power generation, facilities, transmission lines, factories, and that neutral coordination mechanism is very critical. In order-- If you study like the history of grids, the most enduring ones were those that never owned their own assets. They were ones that had, or often started with long-term anchors who are uncorrelated sources of demand, a steel factory, a shoe mill or whatever in a particular town who weren't competitive, where the steel factory want to spike up at night, the shoe mill wanted to spike up during the day. So then you pool and you share, right? So each of you is guaranteed some base load, but then you kind of schedule your spikes to drive a peak utilization across the town. The gold standard, so to speak, historically, has been these utility companies like PJM Interconnect in the northeast of America, where they, over many years became this what's called an ISO, an independent system operator of the grid. So that's how we see ourselves. Economically, that's what we are. From a technical perspective, we started at the scheduling layer because Seb and Mihai, who, run engineering here, built that at-Swyx [00:09:28]: Did your schedulingAnjney [00:09:28]: They did that at Google. And, -Swyx [00:09:32]: And you have infra shops from Discord as well.Anjney [00:09:35]: I have some.Swyx [00:09:35]: I don't know, I don't know if Discord is like the primary identity, but what-whatever, I'm just kind of-Anjney [00:09:39]: No, D-Discord was-Swyx [00:09:40]: Choosing a well-known name.Anjney [00:09:42]: Well, I So I was running the developer platform there. The internal infrastructure I was not responsible for. That was actually a guy by the name of Mark Smith, who was extraordinary. And yes, Discord did pool So Discord is actually a counter example. I had the chance to learn a lot about fully, full stack infra there because-Swyx [00:09:56]: It's the same thing, yeahAnjney [00:09:57]: It's the, it's the other architecture which is, Discord built its own WebRTC vo-voice and video infra. So like Discord did not use-Swyx [00:10:08]: For the calls, yeah.Anjney [00:10:09]: Yeah, did not For communication, Discord did not use third party infra. It was all built in-house. And then the way you maximize utilization was you pool demand from the world's 200 million plus monthly active gamers, right? And so that's, that's how those stacks were constructed. Again, in systems design, the two concepts that keep coming up over and over again are abstraction and composition, right? And-Swyx [00:10:31]: Bundling and unbundlingAnjney [00:10:33]: Bundling and unbundling, abstraction, composition, like verticalization and-Swyx [00:10:36]: HorizontalAnjney [00:10:36]: Horizontalization. So in that sense, AMP is an independent system operator of the grid. We pool demand, we pool supply from a number of partners we trust At about 1.3 gigawatt scale over four years. And then we pool demand from some of the world's best, research labs and so on. We're sitting at one, periodic labs who need extraordinary long-term demand. And the idea is that, each of them is guaranteed base load on the grid, but they can spike up and down flexibly on, for compute, with much shorter timelines as needed. That was roughly the design of the program I came up with at a16z called Oxygen. The same-- That was the same design of the GQM, BorgX, Borg GQM implementation at Google that Mihai and Seb had built. Which was that how do you allow, teams inside of Google, on the internal infrastructure to be guaranteed capacity, for their base workloads? But when they need to spike up on research, how could they ensure that was sufficiently there? And of course, the big innovation that was not discovered, but kind of implemented in the space, this infra space maybe three, four years ago at Google was the idea of interruptible demand, right? Where you just queue up a bunch of jobs and through this like sort of credit system, there can be a bidding mechanism.Swyx [00:11:53]: Like priorities.Anjney [00:11:54]: It's a dynamic prioritization Basically. And jobs can get interrupted based on somebody else who's saying, “what? I have 10 tokens, 10 credits I want to spend on this job.” Another like team lead, research lead is “Genie 3 or whatever is only worth five, credits, and NanoBanana2 is worth 10 credits,” and so the NanoBanana job gets priority. That's a, that's a made up example.Swyx [00:12:15]: It's very real. Brain Marketplace was real. And, we've, we've covered this on the pod with David Luan, who was-Anjney [00:12:20]: Oh, great. OkaySwyx [00:12:20]: Was there. And the criticism is that, well, actually sometimes you need central command to go all in on a thing. And actually sometimes capitalism via credits doesn't work. Not, this is not a criticism of AMP. I'm just saying, this is a thing that has been tried, internally within Google, and it led to Google missing GPT.Foundry, Frontier Labs, and Research HoardingAnjney [00:12:41]: Like, we structured ourself essentially very similarly to Google. We are structured as a holdings company. So, Alphabet holdings is Alphabet holdings, and then they've got these subsidiaries called Google and-Swyx [00:12:51]: Other betsAnjney [00:12:52]: Other bets and so on. We've got, AMP holdings, and we've got our infrastructure business, and then we've got a capital business called Foundry that incubates new frontier AI labs or invests in them as venture capital, like Periodic. We put a few hundred million dollars into Anthropic from our fund earlier this year. So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, there comes a point where they feel misaligned with the dictatorship of Alphabet holdings. And at that point, sometimes the dictatorship doesn't want them anymore. And they're “Thank you. You've done your job here. You've kind of helped us through the zero to one phase, and for whatever reason, we're going to deprioritize your amazing, omni model or whatever it is, and instead we're going to prioritize coding.” And, I think that's a tragedy, but I get it. They're Sergey and team are running their own business there. But that doesn't mean we the rest of us should sit around waiting for that progress to get unlocked for the rest of the world and humanity. If you think about how much extraordinary research has happened inside of DeepMind over the last 10 years, I, Demis and Sergey and those guys did such a great job. But at the end of the day, so much of that has never seen the light of day?Swyx [00:14:00]: Or they're like papers only, but they never actually shipped it to production or-Anjney [00:14:03]: What's worse is the paper is actually not even being published anymore ‘cause there's a six-month embargo inside of DeepMind, right? We've heard about this where a paper comes out, and then I think there's a six-month embargo window where if anybody on the business team says, “This could be interesting” It's embargoed for life.Swyx [00:14:18]: Exactly. So the stuff that gets published is the stuff that's not good enough.Anjney [00:14:21]: There's an adverse selection problem, basically. Yeah. At this point-Swyx [00:14:25]: It's, it's a common complaint at NeurIPS, by the way, that's “Well, why would I look at the papers that are the trash of GDM?”Anjney [00:14:31]: Again, I think it's a tragedy. I get it. They're running their business, but the rest of the I think there's negative externalities of research being hoarded, and so that'there's a market failure. And somebody needs to unlock that research, and we can't do it on our own. We only have 1.2 gigawatts of compute. That's nothing. That's about $40 billion of cloud spend. We're going to need a lot-Gigawatt-Scale Compute and End-of-Life PredictionSwyx [00:14:51]: By the way, is that's a new number. I haven't, haven't come across that gigawatt number. That's huge.Anjney [00:14:56]: Yeah. And to be clear, we haven't secured all of it. That's how much demand we have started to secure. I think publicly we haven't actually confirmed how much we have for this year. In order-Swyx [00:15:04]: Where do you want to get to?Anjney [00:15:06]: I think the steady state would be that we have a base load pool Of 1.2 gigawatts at all times Of base load capacity. For spike capacity, right now my estimate is we need roughly six gigawatts over the next four years for all our teams to feel like they were able to keep moving the frontier, whatever they're working on, whether it's, like superconductor discovery over here. There's a new investment we're working on right now, which is in the end of life prediction space in healthcare. It's extraordinary how much you can, you can give this was actually my graduate school work. I went to grad school for bioinformatics at Stanford Med. And I know we-Swyx [00:15:40]: Econ, MCS, bio.Anjney [00:15:41]: So my-- I was this really weird cat where, I was never satisfied with my major options. So at one point I was an econ major, then I was a CS major, then I was a MCS major called mathematical computational science, and they decided they were going to end that major. So I took all that coursework, and I applied it to grad school, my graduate degree in bioinformatics, which was the master's program, and then I thought I was going to do a PhD. I never ended up doing it. I dropped out and went to work at Kleiner. But I was lucky enough to apprentice with this professor at, Stanford Med. His name is Nigam Shah, and he was working on end of life prediction. Stanford is one of the only research facilities in America that has a longitudinal patient data set that's larger at scale. I think it's at least 12 million patient lives. The only larger data set is at the VA, the Veterans Affairs, of America. And to do research, like do any deep learning and so on that data set, it was called the STRIDE data set at that time, you had to be a Stanford Med School affiliate, which is why I went and enrolled in the bioinformatics department. End of deep learning was early. Nigam Shah had the visibility-- the vision to see that, you could do end of life prediction to help palliative care. In America, the, over 30% of all Medicare, Medicaid spend, at least at that time, was spent on end of life care. And what's we grew up in Asia, so we all-- Yeah, at least I won't speak for you, but I have A very different relationship with death than I find folks who grew up in America do. In America, spiritually and culturally, especially in Western societies where Christianity, the Christian tradition sort of frames death as this terminal point, there's often a judgment day and so on. The way we view death is with a finality. In Indian culture, in Hindu culture, death is one-Swyx [00:17:35]: Also, he's Buddhist as well.Anjney [00:17:36]: You're Buddhist, yeah. So it's one, it's one step in a journey of many lives, right? And so, I grew up in this city called Chennai in the south of India, and when people die, you dance on the street. There's like a procession where your body is carried to be cremated and your family, like celebrates and there's drums and so on. It's this huge thing. And, It's because the idea is that you're going to be reincarnated. You've been liberated from the responsibilities of this life, and now you're onto your next. It's a new It's like going off to a new college or whatever, right? And so it was so alien to me when I got here as an undergrad- That the medical system works backwards from that assumption that we have to view death as this terminal thing and delay it, postpone it's a bad thing. And so at the time, clinical decision support in the United States was this very primitive field. Even to this day, physicians in the United States often will tell you when you have a terminal disease, this is your, we've diagnosed you, which is great. Our ability to diagnose you is extraordinary. You have somewhere between six months to six years to live. What do you do with that information? The error bars are so high that then you In times of uncertainty, we default to culture, and when the culture is let's-- this is a bad thing, I've got to prolong my life, then you start doing things like And just to, just sort of from a systems perspective, what's going on there is Physicians often feel like they need to provide such high error bars because there's always some uncertainty in end of life diagnosis, and if you provide the wrong Diagnosis or recommendation to your patient, you can be sued for medical malpractice. And then your license can be taken away. It can be catastrophic for your career. In contrast, if in countries where that's not the case, what you often observe is that patients, physicians are quite prescriptive with their recommendation. They say, “Hey, this is your condition. The literature says that you probably have this much time on Earth left. My expert opinion is that you are an outlier or whatever.” And they try to be more prescriptive, and that empowers a patient, right? ‘Cause then a patient can say, “I trust my doctor. They said on average, I have six months to live, but if I do these things, I may have a shot because of my particular predispositions or my genetic history or whatever.” And that empowers you to go about your life in a actually more scientific way than leaning on religion, culture, spirituality, and so on. In contrast, here, because of that medical malpractice sort of thing looming over your head, a physician never gives you a clear recommendation. So instead you say, “Okay, Doc, well, let's try it all.” And then you start a whole regime of drugs and therapies, and then you often spend weeks and weeks in the hospital, and that deteriorates your quality of life. And when that deteriorates your quality of life, you instead of spending your last few days doing the things you love with your family, you're spending it on a hospital bed. And that ends up being thirty percent of Medicare and Medicaid. So it's worse for the patients. The doctors feel terrible. The American taxpayer is paying a huge amount of money. And so this is why Nigam Shah, who was this professor at Stanford, said, “Anjney, if there's “ I kind of sat down with him. I was this young, I'd, I was twenty-one, and I was “I want to work on a big problem.” He's “The big problem is end of life care.” And so we tried to do deep learning to say, to-- So we started trying to run deep learning on these tried patient data sets to say, “Could you have an AI system make a recommendation that is orders of magnitude more precise about how much time you have left once you've been diagnosed with a terminal condition than a human?” And then if we can get that precision to be high enough, then you can empower the patient. And it turns out the tech works. Like it's-- Once you get the data set, like RL works. Honestly, even regression models work. You don't need to get that fancy. At the time, we were just trying, doing like very simple neural nets.Swyx [00:21:54]: Simple solutions, yeah.Anjney [00:21:54]: Today, what we can do with RL is extraordinary. The problem remains then and now is regulatory, because you actually can't shift the burden of the wrong clinical diagnoses from the physician to the AI system. And so at that time, I got quite disillusioned ten years ago for, twelve years ago where, ‘cause I felt I just didn't have the resources to influence regulation. Today, I'm very lucky. I'm in a different place. I've, I'm a lot older, and so I've been spending a lot of time on my next incubation, which is how can we unlock the, patient empowerment by training AI models to do end of life prediction much, with much more precision and ac-Swyx [00:22:37]: Oh, wow. You're still focused on this the whole time.Anjney [00:22:40]: The-- I haven't been able to get, this out of my mind a single day for the last fourteen years. This is the hill I want, I would like to die on. There's two, I would say. What? I actually, I'd prefer not to die.Swyx [00:22:51]: Yeah, exactly.Anjney [00:22:52]: But I think two bipartisan issues, I think two issues that should be bipartisan in America are how do we empower patients to make the right clinical decisions at the end of their life, such that we're reducing the taxpayer burden with science? It's just good old science, and AI can help here. And the second is, net positive data centers, ‘cause I think that's the biggest critical bottleneck on training and good enough AI models to help people at the end of their life. So there's sort of two sides of the, of the same scaling bottleneck curve, but those two, we formed AMP as a public benefit corporation. My wife and I, who you've met, you've met Viv. Her passion is education. Her family is a long line of educators and so on, and, of physicists. And so this class is my attempt to stop being the black sheep of the family and be a, an educator. But if I'm not educating, the thing I would be doing is working, on these two problems, whether on the political spectrum or as a researcher back at, in some lab. And my hope is if anyone's listening to this podcast, if they're passionate about either of those two topics, I'd love to hear from them. We'll, we'll we can share the contact in the show notes, but, we're looking for people to join both of those missions on the, on the political side as well as on the medical side, on the research side.Frontier Systems, Output Maxing, and AlignmentSwyx [00:24:08]: You said, this is a discipline that you want to form. You call it's called variously called Frontier System. It's variously called One Person Frontier Lab. What is the ideal name or shape of this? Like the, what is the mission?Anjney [00:24:24]: Of the class?Swyx [00:24:26]: Of the discipline that you're, exploring, right? I The class is called Frontier Systems. But like for me, maybe one phrase is you're, you're just anti-waste, right? Which is wasting GPUs, wasting in human and Medicare. But is there, is there a broader theme that I'm, that maybe you can encapsulate more succinctly?Anjney [00:24:45]: Yeah. The, from an engineering perspective, it's very simple. It's output maxing. It's the, it's the department of output maxing.Swyx [00:24:51]: Making the most of what we have.Anjney [00:24:52]: Exactly. I'm a huge believer in optimal outcomes. I think both in America and other countries, we are losing our appreciation for nuance, and this is the thing of And AI is the same case, right? Oh, the bitter lesson holds. Okay, fine. But that doesn't mean you just like throw 500 GB300, 500,000 GB300s at your suboptimal model scaling and you waste a bunch of compute. It also doesn't mean that, the most optimal is to have like 50 different architectures where there isn't enough standardization. One of the reasons Anthropic has had extraordinary sort of velocity is ‘cause they picked the transform architecture and said, “This is simple. Let's double down on it,” right? And now luckily there's enough investment going to the space that we can afford other architectures, but at the time, investment was just too fragmented into other architectures, so that arguably unlocked scaling. So I think there's a philosophy. I think we all owe it to ourselves to do output maxing with a new capability called AI on a global level. I think if I was starting a new department at Stanford, depending on how fuzzy or technical I wanted to be, I'd probably call it the Department of Alignment. Like-Swyx [00:25:59]: It's an overloaded termAnjney [00:26:01]: But it is, But alignment really Is a hard problem. And I think when you unlock it, full stack alignment is super hard in any organization and in any system. Like in a, in a venture capital firm, if you can have full stack alignment between your limited partners and your, the founders who are creating the value and ultimately the public that owns the IPO stock, that is a gift that keeps giving. And when you study the history of these systems, when they start off, they usually start out small scale where the feedback loop is actually so tight that there's alignment. And then the more you try to scale, the more division of labor happens, the more specialization happens, and at each step you add abstractions. And wherever there's an API interface, there's like loss. There's communication loss. And so I think a really cool thing would be for us to figure out is there a way for us to have our cake and eat it too as an engineering discipline? Is there a way to actually scale up and scale out Without losing any alignment, without lossy transmission?Swyx [00:27:01]: You mean standards?Anjney [00:27:02]: So standards is one way. The other way is you just have net new capabilities. So like what we're trying to do here is discover new superconductors. A room temperature superconductor would be a lossless transmission mechanism for energy. We would have flying cars. We are right within a few years of having a new room temperature superconductor. So I think those are the two. You either have to standardize On protocols or API specs that allow lossless communication, or you can come up with a whole new capability that unlocks so much abundance, the standardization doesn't matter ‘cause you just unlock net new capacity. This, the, so this is what I spend my days thinking about these days.Compute Markets, SF Compute, and Non-NVIDIA ChipsSwyx [00:27:38]: No, I think every infra person at, who wants scale and wants to output max does eventually end up thinking about this. We don't have time to go into it, but we have done an episode with SF Compute-Anjney [00:27:50]: Oh, coolSwyx [00:27:50]: That is trying to standardize The futures contract for compute. I don't, I don't know how that's going by the way, but like at some point this will be public.Anjney [00:27:57]: Oh, I think Evan is awesome and SF Compute is the kind of effort that I hope we can accelerate because what often happens is these exchanges are very hard to get, they, it's hard to bootstrap them, right? Because they often require-- There's many inefficiencies between parties. There's trust boundary inefficiencies in infrastructure because you don't trust, one part of the stack doesn't trust another part of the stack to give them visibility. There's capital markets inefficiencies, there's operational efficiencies. So if you can inject like a single shock to the system of a ton of compute demand or supply, then you can accelerate, these new flywheels. And so my hope is one day, or soon, if SF Compute needs extra like has excess capacity, they just hook it up to the grid and they get flooded with demand from us. And on the other side, if they have a ton of demand but they don't have supply, they just again hook up to the grid and it's a two-way protocol where they can just hook up to our capacity. And I don't think we're too far from that. Today our working implementation of it is mostly through a group of labs, universities, and a few sort of trusted parties who are, who all feel like they're in alignment to borrow an over sort of used word. But our hope is to just have it be an open protocol that anyone can hook up to on-Swyx [00:29:20]: Hook up for demand or hook up for supply? In primarily demand, it sounds like. Like you-Anjney [00:29:25]: No, bothSwyx [00:29:26]: You would want to offer demand.Anjney [00:29:27]: Both. Yeah. Unfortunately, what's happened in the last six weeks is, we thought we'd have a bunch of excess capacity by the end of this year. It's all gone.Swyx [00:29:37]: It's exploding.Anjney [00:29:38]: It, yeah. It's all gone. And so I have, my text messages are full of friends, we know many of these people, these are founders who've raised billions of dollars in San Francisco going, “Oh, any chance you have like 50 nodes in the next few weeks?”Swyx [00:29:51]: What is the scope for, non-Nvidia, right? You have Lisa Su coming and, Rainer Pope as well. And so There is a lot of demand for, more performance Alternative architectures and all that. At the same time, this hurts your standardization.Anjney [00:30:11]: I don't think so. So actually Rainer's a great example, right? Rainer is a CEO and founder of, MatX. I actually had him by for office hours in the class earlier today, and there was an insight he brought up that I hadn't considered before, which is when they decided to pick the standard For their data center, they picked the NVIDIA reference architecture. So the MatX chips Just plug in to any site that has an NVIDIA bring up planned. And, the-Swyx [00:30:42]: It's just software then. It's, it's not the-Anjney [00:30:44]: A-Swyx [00:30:44]: Hardware.Anjney [00:30:46]: Well, from an input and IO perspective It's the same footprint as an NVIDIA rack.Swyx [00:30:52]: That makes sense.Anjney [00:30:53]: Where they have done, innovated a bunch from what I can tell is on systems co-design. Which is where a lot of the gains are to be had. And so he picked He was “Anjney, we, there's just so much work to do when you're building a new chip company.”Swyx [00:31:08]: Can't fight every front.Anjney [00:31:08]: You just can't fight on every front. So my question to him was, “Well, you're working on this new chip. Their tape-out is next year. What, who are you going to partner with to host the chips?” And he said, “Whoever will host them. That's just not, that's not my focus.” And I said, “But how did you “ you decided back to our earlier systems design question, he decided that, he didn't want to be a full, fully integrated chip provider. The bottleneck they're focused on is the logic die, and they, he feels they can crank out a ton of performance gains through co-design there. But then that means you delegate, to our question earlier, it, you he's the data center provider is a different part of the stack, and so then he's dependent on that part of the ecosystem to host his chips to get the performance gains to the customer. So now you have another abstraction, and you might have loss. So I asked him, “How do you prevent loss?” And back to your point, he said, “I just picked the NVIDIA standard ‘cause I didn't want to Like I wanted to piggyback off of an existing protocol.” And that, what's great about NVIDIA is that reference architecture is known.Swyx [00:32:15]: Open.Anjney [00:32:15]: It's open. They've published it. So Jensen's actually enabled someone like Rainer to build a chip company like MatX, and I don't see them as competitive. The compute demand is so high. Like, I don't I think NVIDIA's not able to meet the demands of production, so we just need more chips. And I think it's very smart what MatX has done, which is say, “We're just going to we're not going to innovate on the data center design ‘cause actually, thank you, Jensen, you've done all the hard work. Where we can innovate is somewhere else.” And I think that's, that's very healthy. I think that's how we unblock new bottlenecks. And my view is these, the, chip teams like MatX, who have arrived at the insight that co-design is the way, The primary bottleneck for them is trust boundary. To do co-design well, you need visibility into the next model generation as soon as possible ‘cause it takes two years to tape out. So if by the time I bring my chip to market, your model architecture's changed, I'm host. Now, when he was inside Google, he was sitting next to the Gemini team. He was on Palm or whatever.Trust Boundaries, Co-Design, and Researcher CEOsSwyx [00:33:19]: His co-founder was the, was one, was one of the Palm guys, I think.Anjney [00:33:23]: Yes. Yes, exactly. So when you're inside the trust boundary of Google, then your systems co-design loop is super tight. When you leave as a founder, one of the biggest risks you take is now you're outside the trust boundary. And so what I love doing is helping chip teams who can help us unlock more capacity for the independent ecosystem access to trust. Because when I If I've been, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral and helped Black Forest Labs get started. I think at this point I'm on six or seven different teams.Swyx [00:33:57]: Only six? I feel like my mental number was going to be 13, but yeah, it's-Anjney [00:34:02]: No, I go deep with one at a time.Swyx [00:34:04]: You're founding CEO of Arena.Anjney [00:34:07]: Nah, that was an, that was an-Swyx [00:34:08]: Administrative CEOAnjney [00:34:09]: It was an administrative five-month gig where Whalen and Anastasios were graduating from their PhDs, and they didn't need a product team. So I helped recruit the head of engineering product and design. But Anastasios has always been the CEO of that company. I played a pinch-hitting I'm an intern. I was CEO intern For five months. -Swyx [00:34:33]: I interviewed him, and he's he's very well-spoken. I think he's a debate, former debate, champion. But also very quantitative and mathematical, which is-Anjney [00:34:41]: He-Swyx [00:34:41]: Such a unicorn.Anjney [00:34:43]: See, what's amazing about him? If you look at his output, he's an output maxer. By the time he was graduating from his PhD, which he only graduated last year, he had published more work with a citation count than, people twice his age. But at the same time, he'd already started a project called LLM Arena that was being used by millions of people As a side project. And time and time again, what I've realized is venture capitalists suck at seeing human beings as, dynamic agents where-Swyx [00:35:14]: They want to put you in a boxAnjney [00:35:15]: They want to put you in a box.Swyx [00:35:15]: This is your thing.Anjney [00:35:16]: So the first time I got introduced to Anastasios, somebody had told me “Oh, he's amazing, but he's a researcher.” I was “what? What do you mean he's a researcher?” That's what-Swyx [00:35:28]: Like he's not a CEO, not a founder.Anjney [00:35:29]: Not a CEO, exactly. I was “Are you crazy? Do you Have you met Dario?” Dario's a scientist. He's gone from zero to, what will soon be a trillion-dollar company in four years. Being a CEO, nominally speaking, is not that hard. Being a good CEO is hard. Being a great CEO actually requires a level of performance that scientists who have already published at the top of their field have accomplished. It is super hard to be a competitive scientist. To publish in academia over the last 20, 30 years, to make it to the top of your discipline at a place like Berkeley, you are a star athlete. Like, you are an athlete of the mind, and you perform at the highest levels. And to get there, whether you're, Anastasios or Whalen at Berkeley, or you are Robin, who-Swyx [00:36:23]: BFL, yeahAnjney [00:36:24]: With Black Forest, who created Stable Diffusion, or if you're, like Guillaume at Meta, who created Llama before he started Mistral. The amount of human leadership you have to demonstrate to get the resources, like get the trust of the organization, publish it, put it up. I would just fund researchers all day Right? If who have contributed already to the field. If they've, if they've put SOTA out there, they're, they're star athletes already. If they haven't done SOTA Look, they can still be good CEOs, but then I find the failure mode is that they just don't want to be CEOs, they primarily want to publish, and that's okay, too. One of the things we do with the AMP Grid is we donate excess compute. We have two nonprofits, like university labs. We carved out like a couple thousand H100s. But I do think there's extraordinary research being done on university campuses. My father-in-law's a physicist. He's a professor. Extraordinary work in physics, and we need that. But if you want to be a CEO, what you need to be willing To do is be super confrontational, outside of science. Like within the scientific community, some of the best researchers are very confrontational about their convictions, right? This architecture is right. To be a great CEO, you basically have to be willing to be confrontational up and down the stack.Swyx [00:37:41]: To your own team.Anjney [00:37:42]: To your own team-Swyx [00:37:43]: To customersAnjney [00:37:43]: Hiring, recruiting customers. Well, I would say, Yeah, pretty much to everyone Everybody. Of course-Swyx [00:37:50]: I see, I feel a little bit of that in my own work, but yeah, I can't imagine the stakes that Dario has had to go through. It's, it's pretty insane.Anjney [00:37:56]: No, I don't think the stakes are that different From how you're feeling it, right? Stakes are personal scaling vectors, right? The stakes that seem so low to you, like having this podcast where you can talk to somebody and just have a you're an extraordinary communicator, right? Like already in this conversation, you've pulled more out of me than most people, and I've been on 12 podcasts in the last two weeks.AI Coachella and First-Principles ThinkingSwyx [00:38:17]: I think I, we've just seen each other enough that there's some base trust.Anjney [00:38:20]: There's base trust.Swyx [00:38:20]: And I think, and I know that you, that I've done my homework and like I know that trust is a big deal for you, so.Anjney [00:38:27]: I think trust is about consistency, and you and I have seen each other In the community for years, right? Like, I remember the first time we met was at NeurIPS in New Orleans. I don't know if you remember that, luncheon.Swyx [00:38:38]: Oh my God.Anjney [00:38:39]: Reiko had set up this Reiko's amazing, and he set up this luncheon and-Swyx [00:38:43]: Yeah, I was “Who's this Discord guy?” I'm “Okay.” But-Anjney [00:38:45]: No, you weren't-Swyx [00:38:46]: You were just “You made some investments.”Anjney [00:38:47]: You were much less polite. You were “Who's this VC?” You're like-Swyx [00:38:51]: No, I Was I? Oh my God.Anjney [00:38:53]: It was-Swyx [00:38:53]: I'm so sorryAnjney [00:38:53]: It was visible on your face.Swyx [00:38:54]: I'm so sorry. But you weren't, you weren't The introduction was bad. I was I didn't know who you were.Anjney [00:39:00]: The, see, this is the thing about context, right? Like, but then I think I heard your accent. And I was “Are you-”Swyx [00:39:06]: Singapore, yeahAnjney [00:39:06]: “Are you Singaporean?” And you're “Yeah.” And I said, “I went to high school, JC, in Singapore.” And then the ice broke. But This is the there are in the scientific community, sometimes the stakes are very high for people who haven't had the emotional, what is called EQ Coaching and mentorship, right? Which is like to have scientific impact, you often need to be a extraordinary emotional, like emotionally in tune person with the folks you're trying to influence. And so what comes so naturally to you is actually a super high stakes thing to other people. And so I wouldn't assume that Dario's more stressed out than you. These things are you'd be surprised how similar and small sometimes the problems are to you That some of the world's biggest, leaders are facing. And that's what I've learned from this class. The guest speakers are Sam, Satya, Jensen.Swyx [00:40:01]: AI Coachella.Anjney [00:40:02]: Yeah. It's AI Coachella, right? So we got to get all the headliners, and they're I'm very lucky that some of these people have either mentored me over the years or I've done business with them. And when you, take the performative stuff out and any assumptions you may have about these people that you read in the press or on Twitter, We're all just humans. We're all trying to get along. And what's so special about this moment is AI is forcing, like scaling, the bitter lesson is forcing a lot of people to revise their assumptions for how the world works and go back to first principles or go and educate themselves. So the kind of people I was, I won't name who this person is, but I was at an event last week in Texas and, ran to somebody who said, “Anjney, I came across the class. What do you think about real time action prediction models?” And I was, don't know how happy it made me feel when they asked me that question. I know they've done the work. They've challenged themselves. I'm, they didn't ask me, “What do you think of world models?” They said, “What do you think of n-”Swyx [00:41:04]: Real time action predictionAnjney [00:41:05]: “action, real time action prediction models?” World models, don't get me wrong, are cool and everything, but you and I both know that is a layer of abstraction that is sometimes not usefully precise enough. Right? Ours-Swyx [00:41:16]: There's like four different kinds of world models.Anjney [00:41:17]: Yes, exactly.Swyx [00:41:18]: We've done the part with general intuition, by the way, which is very focused on, -Anjney [00:41:22]: Oh, cool. Yes. I love Pim. Pim is great. And this is what I love about people who've done that level of work. They realize they're not in competition with people who the rest of the world thinks they're in competition with.Swyx [00:41:34]: Because they're not in the category, they're in the specific thing they're trying to do.Anjney [00:41:37]: They're focused on their mission, and they have a systems understanding of the bottleneck they're trying to solve. And when somebody else says, “I'm working on real time, action prediction models too,” Pim goes, “Oh, I love that person. I want, I can learn from them.” But the minute they're “Oh, that person's a world model person,” it's “like which type of world model person?” But mostly they're just trying to figure out if it's a waste of their time, because we don't have enough time. So, Pim, for example, is super, loves this other company I work with we've talked about called Black Forest Labs. And he's mentioned to me multiple times that he's so, He thinks what Flux is doing is really cool. Andy Blattman came by and spoke in the class. And what I find over and over again is for people who do the work, who can be usefully precise enough about like what is actually going on in the world of frontier research, The sense of camaraderie is still well and alive, but it gets lost sometimes when you have to like abstract The technical complexities in, business terms And then the VCs are “How are you different from that world model?” I'm going to say Where do I even start to explain this stuff? And then the misalignment creeps in.Leading vs. Winning in Frontier AISwyx [00:42:43]: This is good. Yeah, I think, people listening get a sense of, what it is like to operate at a real level, like yourself, rather than at, the journalist level, where you have to sort of put everyone in, a rough category and create a narrative of competition, and who's winning today, who's behind.Anjney [00:42:58]: It-- this idea of winning is so Weird to me.Swyx [00:43:03]: You do want to win. You want you want competitiveness.Anjney [00:43:06]: No, I think you want to lead.Swyx [00:43:07]: You want SOTA.Anjney [00:43:07]: No, I think you want to lead. Yes, so you want to push the frontier. You want to push the SOTA. You want to do something that hasn't been done before. You want to capture value, but you don't want to capture so much value that, people think you're unaligned with your mission or trying to do what's best for the world. You want to capture enough value that you can keep innovating, right? And I think that people want to lead, they don't really This idea of winning and losing, again, I love Jensen. He's a, he's a leader. The mindset that he talked about on Dwarkesh's podcast, right? He's “I didn't wake up with a loser mindset.” I think that was awesome, right? Because he's, he's an engineer. Dwarkesh has done the work. So there's at least-- even though the, to me, it was very obvious they're talking about the same thing, they just passed each other. They just had to basically, Jensen has this, five-layer cake abstraction of how the industry works. And Dwarkesh had, I think from that podcast, had more of, a pre-training, mid-training, post-training systems loop concept.Swyx [00:44:04]: It's just a factor of who he talks to, right? Again, it's very clear.Anjney [00:44:06]: It's the systems It's the abstraction, the mental models, the It's the whole-- Dude, so much of the problem in the world is reasoning by analogy. And then the assumptions that are held invisibly.Swyx [00:44:19]: Yeah, I've, I've said, this is actually the best time in human history for first principles thinkers. Because everything you think will happen is actually now coming true.Anjney [00:44:28]: Correct. And the venture capital community is, notorious for this, where people look-- In times of uncertainty, they, cling to axioms that ended up being true from the previous era, and they kind of like proclaim them with confidence as if they're truths, but they're not. And it's very important to see the distinction between a heuristic and an axiom. An axiom can be proven-Swyx [00:44:55]: Like from internal consistency point of viewAnjney [00:44:56]: With internal consistency. A heuristic is a way you kind of a shortcut. And my God, the number of people I have had to put up with over the last few years who proclaim-- use heuristics As axioms to judge people, to judge which companies are going to succeed or the number of people who are “Oh, yeah, Anthropic, they're just training models right now,” but this one continue.Swyx [00:45:22]: Because that's a B2B SaaS?Anjney [00:45:23]: Yeah, the, like Which over the fullness of time, if you squint at it, maybe. But the way you arrive there is so important that you can-- you just, you can dismiss people. Here's what happened, right? What happened is Anthropic basically achieved takeoff in October of last year. That training run-Swyx [00:45:41]: Whatever, three seven?Anjney [00:45:42]: I forget the numbers now, but whatever that checkpoint was-Swyx [00:45:45]: We saw the cognition.Anjney [00:45:46]: Yeah. Right? You probably-- The, to those of us in the community, especially once post-training was done and it was released in December-Swyx [00:45:52]: Yeah. Can I sneak a sneaky question in there? I don't know if you have a perspective, maybe you don't, I just The number one question is how did Anthropic crack coding, right? Because Claude One, Claude Two, okay, like it was part of it, but it wasn't a big deal. And the leading hypothesis, it's a lucky dice roll that was then compounded, right? Like it was like Mildly better, but then they saw it and they were “Okay, let's really invest.”How Anthropic Cracked CodingAnjney [00:46:17]: I had this very annoying teacher. I went to this boarding school called Rishi Valley in India, which is like this, bird preserve. It's like three hundred and fifty acres of bird preserve in rural India, and there was no technology for seven years. There was this teacher, I won't name them, but they would have this-- I hated it every time he said this to me. He was “Luck fa-favors the prepared mind,” which is like a common saying, but the way he delivered it, always grated me, ‘cause he was always I was always one of those kids who got, a good grade without trying very hard. ‘Cause like high middle school is not that hard if you, if you're generally, paying attention and so on. And there was this one time where I-- But then I would get an eighty percent grade, and he would keep pushing me to say “The reason you didn't get the ninety-five plus percent is because you're not that lucky.” And I would say, “What do you mean?” ‘Cause I would think that I deserved that grade, and I would sometimes argue with him. And he'd say, “You didn't have a prepared mind. If you want to get lucky again “ There was basically one time where I got like ninety-five or ninety-six on this, on this subject, and I, now that I felt entitled. I was “Okay, I'm going to keep doing this,” and I didn't. And then he was “Luck favors a prepared mind. You got lucky last time, but you got to stay prepared.” And I didn't understand what he meant. Now, as I'm older, I'm okay, these adults actually knew a thing or two. Anthropic has been the most prepared company for four years. And so then when the right, context data comes in, the right developers start sending in, the right context diffs, Sure, you could say you got lucky, but if you ask me, they're pr-pretty damn prepared with paranoia for like four years. And you have to remember, it was so hard for them to get going early on that they had to do so much more with so much less that you just have to be prepared to be so efficient.Swyx [00:48:06]: Yes. There's numbers on their burn compared to OpenAI. I've, I've written about it, but they are so much more efficient in their, in their tech stack.Anjney [00:48:14]: It's not even It's not funny.Swyx [00:48:14]: Not even close.Anjney [00:48:15]: Yeah. But it's so clear, right? Like how to output max for the world. They have been prepared, and you could call that luck, but Luck favors the prepared mind.Culture, Hardship, and Anthropic's P0Swyx [00:48:25]: This is one of those things that I was going over some of your old lectures and, you were data, people think it's a moat and actually it's culture and actually it's team Actually. And I, it's-- there's different levels of moats, and this is the ultimate one that determines everything else. Which you can then compoundAnjney [00:48:43]: You're saying culture is the ultimate moat? Yeah. But the thing about culture is it's very fragile. So moats, I don't think they're-- there's very few moats I found that are actually moats. They're-- It's, it's a nice concept, but in reality, you have to replenish your culture. Ben Horowitz was, the speaker in CS153 on Tuesday, and I asked him this question about the culture bottleneck in teams because, there are several AI teams-Swyx [00:49:09]: His book, Hard Things About Hard ThingsAnjney [00:49:11]: Hard Thing About Hard Things. But more concretely, there are so many AI labs today that have all the cash they need, they have all the compute they need, and they're still not able to ship anything SOTA. And then you start seeing people leave and so on, and my diagnosis, it's, is it's the culture. And so I asked him, Ben, they're-- He's been one of the most aggressive investors in AI labs. He goes back to this thing which resonates in my mind a lot. It-- When I used to work at a16z, I would, book a conference room, and right outside the conference room, which is closest to the toilet ‘cause it was the fastest way for me to go use the bathroom between Zoom meetings-Swyx [00:49:45]: Oh my God, I'll put maxing my toilet optimization. Okay, never mind.Anjney [00:49:48]: It was not healthy in hindsight, but maybe this is TMI. But anyway, outside that conference on the wall was this quote that was printed that said, “Culture is not a set of beliefs, it's a set of actions.” And it's by Bushido, is this, Japanese philosopher. And if you stop taking the actions that demonstrate the mission alignment to what you've said to your team and to your-- the world matters to you, then your culture starts to fray. So it's not actually a moat, I would say. It's a very brittle, fragile thing that requires daily tending to like a garden. But if you figure out the system to keep that garden tended, which I think ultimately comes down to knowing yourself ‘cause you most naturally, if you're authentic and so on, you'll naturally make trade-offs that seem effortless to you, but that reinforce your culture. And then That becomes this very hard thing for other people to catch up to. And at Anthropic, from day one, there was this mission like-- missionary like zeal and belief that, hey, these capabilities will scale. These systems are stochastic, not deterministic. There will be error bars, and until we crack interpretability, there's risk. And at some point, people will go-- stop using Claude just for coding. They'll use it in some mission-critical context where there's-- it'll throw off a bug, and then people are going to come blame them, and they want to be on the right side of history where they said, “Yes, this is a powerful technology. We think it's going to change the world, And we want to be very measured and scientific about the fact that, ‘Hey, guys, these are stats models, statistical models.' That's how statistics works.” ultimately, when you're training neural nets, it is just a statistical system. And I think that Belief that safety is important and that it might seem toy-like in the early days, and sometimes, you could say, “Anjney, they totally over-exaggerated the risk,” like two years ago when they said, “Let's not launch Claude One,” or whatever. Well, okay, maybe in hindsight, but hindsight is twenty/twenty. And at the time, they didn't know how that model would be used, and to them it felt existential if somebody came and said, “You weren't responsible. It-- This wrote a bug.” The liability associated with that is massive. So how do you prevent against that? Well, day in, day out, you say safety. And when you start deviating from that, you have the team hold you accountable, you have the world hold you accountable, and I think that becomes a moat over time. At some point, that moat will get challenged and so on, and then it become fragile. I hope it endures because that's the beauty of having founders run the show, ‘cause they can make really hard trade-offs to do mission alignment. The hardest part is in the earliest days when you don't have a group of people who are going through difficulty, stress, crisis together, then your culture doesn't get defined sharply enough, and that's what I'm worried about right now, is there's so much money going to these labs. There's no hardship. There's no-Swyx [00:52:50]: To anyone who knowsAnjney [00:52:51]: There's no to anyone who knows. And that, in hindsight, was a feature, not a bug for Anthropic. The number of people who said no, the number of people who said, “Sorry, we're all doing investors in OpenAI,” that is competitive difference. It forces you to really understand, what is the hill you want to die on at the expense of everything else. What's the P zero? And there, P zero from day one was coding. The reason, the mechanism system there was if we crack coding, Then we will crack AGI. Our mission is AGI. We want to get there safely. If we focus on codin

Dynasty trades, Jaguars WR room, and more on today's dynasty fantasy football podcast! Borg, Betz, and Jason answer listener questions, including how dynasty leagues should approach rules and protocols regarding supplemental draft pick Brendan Sorsby. They also discuss a number of players at the crossroads of talent and opportunity. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for June 17th, 2026. Connect with The Fantasy Footballers: Visit us on the Web Support the Show Follow on X Follow on Instagram Join our Discord Love the show? Leave us a review wherever you listen Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

“This is 40 minutes of story in a two hour bag.”This week's scariest movie is... Life. This film has everything: terribly timed funerals, aliens in trucker hats, And a starfish Borg. If you love space claw machines, Goodnight Moon emergencies, and quadrupedal animal debates, this episode's for you!Please Subscribe, Rate, and Review The Horror Virgin to help more people discover our community.What did you think of our episode on Life? Tell us on social media @HorrorVirgin FB/IG, @HorrorVirginPod TwitterUp Next: Apollo 18See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

MARIUS BORG HØIBY GUILTY OF RAPE — Four Years, the Skaugum Conviction, a Monarchy in Crisis.Marius Borg Høiby — son of Norway's Crown Princess Mette-Marit — has been found guilty on 34 of 39 charges and sentenced to four years in prison by the Oslo District Court. He was convicted on two of four rape counts, both involving incapacitated women, and acquitted on the other two; one conviction concerned a 2018 assault at the royal residence Skaugum. He was also convicted of domestic violence against former girlfriend Nora Haukland, serious bodily harm, threats, filming women without consent, and breaching restraining orders, and ordered to pay about 640,000 kroner ($61,000) to four women. Both sides may appeal within two weeks.Palace Intrigue is a daily British royal family podcast covering King Charles, Meghan Markle, Prince Harry, Kate Middleton and the House of Windsor. New episodes every day. Follow on Apple Podcasts, Spotify, or wherever you listen. Part of the Caloroga Shark Media network.

Der US-Präsident feiert seinen 80. Geburtstag mit einem Irandeal und Käfigkämpfern. Die Schweiz stimmt mehrheitlich gegen einen Bevölkerungsdeckel. Und: Urteil im Prozess gegen Marius Borg Høiby. Das ist die Lage am Montagmorgen. Die Artikel zum Nachlesen: Mehr Hintergründe hier: USA und Iran einigen sich auf Friedensvereinbarung Die ganze Geschichte hier: Die Schweizer lehnen die Bevölkerungsgrenze ab – bestätigen aber, dass es ein Problem gibt Mehr Hintergründe: Ein Planschbecken für den »Bonusprins« +++ Alle Infos zu unseren Werbepartnern finden Sie hier. Die SPIEGEL-Gruppe ist nicht für den Inhalt dieser Seite verantwortlich. +++ Mehr Hintergründe zum Thema erhalten Sie mit SPIEGEL+. Entdecken Sie die digitale Welt des SPIEGEL, unter spiegel.de/abonnieren finden Sie das passende Angebot. Alle SPIEGEL Podcasts finden Sie hier. Den SPIEGEL-WhatsApp-Kanal finden Sie hier. Hier geht es zu unserem SPIEGEL Shop. Alle Newsletter vom SPIEGEL finden Sie hier. Hier geht es zur SPIEGEL Akademie. Sie möchten den SPIEGEL mitgestalten? Registrieren Sie sich bei SPIEGEL Perspektiven. Informationen zu unserer Datenschutzerklärung.

I dag falt dommen til Marius Borg Høiby, og jeg sitter igjen med mange spørsmål. Jeg har derfor invitert inn Advokat Brit Kjelleberg og min venn og jusstudent Emil Stenhaug til å svare på alt jeg og dere lurer på. Har du noen reaksjoner? Så send meg gjerne melding eller talemelding til frekvenstelefonen, så kan jeg ta det opp i søndagens episode også :) 48 43 53 96.Anines Olsens venneliste får kjørt seg når hun sammen med sine internett-mutuals, og kommenterer aktuell populærkultur, internettkultur, datingkultur og ukultur. Send inn dine spørsmål, historier, innspill eller hot takes på melding til 48 43 53 96. (Alle meldinger og talemeldinger anonymiseres.) Frekvens er en ukentlig podkast produsert av BAFF, produsent er Helle Aakesen.

I dag kom dommen i årets største rettssak i Norge. I dagens Kort Forklart oppsummerer vi det viktigste i dommen mot Marius Borg Høiby.

Selv om Høiby ble frikjent for to av voldtektsanklagene, mener dommerne i Oslo tingrett at han må sitte fire år i fengsel. Krimkommentator Øystein Milli og Tor-Erling Thømt Ruud går gjennom dommen. Ansvarlig redaktør Gard Steiro

Skaper AI et nytt klasseskille blant mediebrukerne, hvor mye må man egentlig betale for å slippe personrettet reklame i VG og det har vært mye debatt rundt mediedekningen av Marius Borg Høiby-saken, hvordan oppsummerer VG sin egen dekning? Med Gard Steiro og Anders Giæver. Produsent Simon Lynau. Ansvarlig redaktør Gard Steiro. Kontakt redaksjonen på giaeveroggjengen@vg.no. Giæver & gjengen gir deg de viktigste nyhetene hver dag på drøye 20 minutter når du skal hjem fra jobb. Hør «Mediebobler» hver lørdag om feilene pressen gjør og dilemmaer VG står i. Alltid på Podme.

Superflex Mock on today's dynasty fantasy football podcast! Borg, Betz, and Mike participate in a dynasty startup mock draft discussing superflex strategy and their preference for waiting on the RB position. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for June 10th, 2026. Connect with The Fantasy Footballers: Visit us on the Web Support the Show Follow on X Follow on Instagram Join our Discord Love the show? Leave us a review wherever you listen Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hvaða Íslendinga yrði skemmtilegast að horfa á í roasti? Top 7 RG listi vikunnar. Óskar Borgþórsson mætir í spjall og fer í skemmtilegustu yfirheyrslu Brennslunar frá upphafi. Rýndu í röddina. Jón Jökull segir okkur frá Streetball móti sem verður haldið 17. júní. Gunnlaugur Árni er kominn á US Open!

ADP Price Check on today's dynasty fantasy football podcast! Borg, Betz, and Jason talk through the dynasty ADPs of a number of players including how to sort out the Chicago Bears WRs and RBs. They also play a "Who Am I" game to open the show. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for June 3rd, 2026. Connect with The Fantasy Footballers: Visit us on the Web Support the Show Follow on X Follow on Instagram Join our Discord Love the show? Leave us a review wherever you listen Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The guys discuss what the coaching change at third base from Hector Borg to Ron Wotus means for the San Francisco Giants as they face the Milwaukee Brewers in a four-game series. Kyle Harrison, former Giant, is on the mound as he faces the team that traded him away for the first time. See omnystudio.com/listener for privacy information.

Hour 1 -- Copes and D-Pop live from the Greek Fest in San Jose. The guys discuss the Giants decision to reassign Hector Borg to a different role in the organization, and Ron Wotus becoming the interim Third Base Coach. The guys also discuss 49ers OTAs with the SF Chronicle's Eric Branch. See omnystudio.com/listener for privacy information.

Hour 3 -- Sound Soiree featuring Giants Manager Tony Vitello discussing Hector Borg's reassignment, plus Jauan Jennings compares his signing with the Vikings to the Warriors signing Kevin Durant. See omnystudio.com/listener for privacy information.

The Giants reassigned third base coach Hector Borg; we react to the breaking news as San Francisco looks for anything to help right the ship as they head out on a 3 city roadtripSee omnystudio.com/listener for privacy information.

The Giants' recent struggles have left fans scratching their heads, and today's news that third base coach Hector Borg has been reassigned to a new role within the player development staff has sparked a lot of discussion. Andy Baggarly of The Athletic shares his thoughts on the move and what it might mean for the team's future.See omnystudio.com/listener for privacy information.

We continue to chat about the Giants' reassignment of Hector Borg, the promotion of Ron Wotus, and how the team moves forward given litany of struggles, plus we touch on a hodge podge of sports stories, including J.J. McCarthy's relationship with Kyler Murray and "flopping season" as the World Cup draws nearSee omnystudio.com/listener for privacy information.

Team Trajectories on today's dynasty fantasy football podcast! Borg and Betz discuss the trajectories of NFL teams and the dynasty path forward for young WRs like Matthew Golden, Emeka Egbuka, and Brian Thomas Jr. They also discuss how to acquire RB depth in dynasty and players to trade for. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for May 27th, 2026. Connect with The Fantasy Footballers: Visit us on the Web Support the Show Follow on X Follow on Instagram Join our Discord Love the show? Leave us a review wherever you listen Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dynasty Decisions on today's dynasty fantasy football podcast! Borg and Betz talk through a number of listener questions including discussing if the 2027 rookie class is too hyped. Join Borg, Betz, and a Baller each week to take your Dynasty fantasy football game to the next level and dominate your league -- Fantasy Football Podcast for May 20th, 2026. Connect with The Fantasy Footballers: Visit us on the Web Support the Show Follow on X Follow on Instagram Join our Discord Love the show? Leave us a review wherever you listen Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.