Podcasts about Transmission

Electric transmission development is notoriously difficult, and these days, NIMBYism gets the brunt of the blame. But as data center loads surge and electricity prices climb, there's a new roadblock –  the messy world of multi-state cost allocation. The Mid-Atlantic Resiliency Link (MARL) — a planned 100-mile, $960 million transmission line stretching across Pennsylvania, West Virginia, Maryland, and Virginia — was approved by PJM in 2022 under standard rules that spread costs across the entire region. But that plan was made before ChatGPT took off and data center forecasts shot upwards.  Fast forward four years, and now state consumer advocates are asking why local ratepayers should foot the bill for an infrastructure project designed to feed data centers in northern Virginia. In this episode, Shayle sits down with Maeve Allsup, senior reporter at Latitude Media, to unpack her reporting on the project. They dive into how the rise of generative AI has disrupted traditional grid planning and explore why this challenge has proven to be such an impactful rate limiter for the AI boom. [Correction: In this episode, Shayle and Maeve refer to MARL as the Mid-Atlantic Reliability Line. The correct name is the Mid-Atlantic Resiliency Link. We regret the error.] Shayle and Maeve discuss topics like: - How a project approved in 2022 hit a vastly different policy and regulatory landscape by the time it reached state dockets - Why data center growth breaks the historic assumption that regional transmission costs eventually "even out" between states - How the Ratepayer Protection Pledge — a voluntary commitment signed by tech hyperscalers at the White House — is being harnessed by state advocates as a cudgel to demand data centers pay for grid upgrades - Why the United States has gone from building thousands of miles of transmission a decade ago to just hundreds today - How the intersection of local opposition and confusion over utility tariffs is delaying grid buildouts Resources - Latitude Media: How the Ratepayer Protection Pledge became a transmission hurdle in PJM - Latitude Media: FERC to grid operators: Connect large loads to transmission faster - Catalyst: Looking for a turnaround in transmission - Catalyst: The rise of flexible data centers - Catalyst: AI scaling pathways: On grid, on edge, off grid, off planet - Open Circuit: Grid utilization vs expansion: The 100 GW debate - Open Circuit: A five-alarm fire for the grid? Credits: Hosted by Shayle Kann. Produced and edited by Max Savage Levenson. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor. Tune into Critical Capital, a brand new podcast from Crux and Latitude Studios. Hosted by Crux CEO Alfred Johnson, Critical Capital explores the interlocking forces powering clean and critical infrastructure. Join us every other Tuesday for in-depth conversations at the intersection of energy, government, finance, and global markets. Listen here, or wherever you get podcasts. Catalyst is brought to you by FischTank PR, an award-winning climate and energy tech, renewables, and sustainability-focused PR firm dedicated to elevating the work of both early-stage and established companies. Learn more about their PR approach and how they can support your company's messaging by visiting fischtankpr.com. Catalyst is brought to you by EnergyHub. EnergyHub helps utilities build next-generation virtual power plants that unlock reliable flexibility at every level of the grid. See how EnergyHub helps unlock the power of flexibility at scale, and deliver more value through cross-DER dispatch with their leading Edge DERMS platform, by visiting energyhub.com.

On retrouve Nicolas Carro pour la troisième et dernière partie de son portrait. Quitter l'écosystème protecteur du Chambard et la filiation d'un mentor comme Olivier Nasty ne se fait pas sans vertige. C'est pourtant le choix qu'il fait, poussé par l'appel du large et l'évolution de sa vie de famille.Fin 2018, un alignement de planètes s'amorce. Une rencontre décisive avec Mathieu Guibert agit comme un détonateur : à 30 ans, il est temps de devenir chef chez soi. S'ensuit alors un véritable scénario de film pour le rachat de l'institution de Patrick Jeffroy à Carantec : trois mois de négociations ultra-secrètes et anonymes, rythmées par des courriers scellés à la cire pour protéger sa place en Alsace. Entre la peur de ne pas être à la hauteur et le manque d'économies, le doute s'installe, jusqu'à ce qu'un facilitateur financier ne vienne donner vie à son rêve.Nicolas termine sur les grands défis du management et de la transmission. Fédérer une brigade de 30 personnes, écouter la voix du plus petit apprenti et assumer la gestion financière d'une grande maison. Le tout guidé par une poignante réplique d'enfant face à la mer, un jour de pluie de juin : celle d'avoir trouvé la plus belle fabrique d'arc-en-ciel du monde.Pour découvrir la cuisine de Nicolas Carro avec une vue imprenable sur la mer, c'est ici.

durée : 00:03:28 - Avec philosophie - par : Frédéric Worms - Nous tenons à la transmission parce qu'elle préserve de l'oubli ce qui nous paraît précieux. Mais, souvent sans le vouloir ni même en avoir conscience, nous transmettons aussi une part de nous-mêmes, tels nos peurs et nos désirs. Nous dépendons de ce que nous recevons et de ce que nous transmettons. - réalisation : Virginie Le Duault, Luc-Jean Reynaud Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

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Two thirds of industrial energy demand is heat, not electricity, and most of it still runs on gas. Thermal storage converts cheap electricity into heat, stores it in concrete, and dispatches it when the factory needs it, undercutting the gas bill even though gas is cheaper per unit on average. Alex Robertson, CEO of ENERGYNEST, joins Ed Porter to explain how a thermal battery works, why it competes with lithium-ion on cost, and why grid connections - not the technology - are the real constraint on industrial decarbonisation.They cover:- Why thermal storage functions like a battery on the energy markets but stores heat one-way in optimised concrete.- The medium-temperature "frying, drying and applying" range (roughly 150 to 300C) that sits above heat pumps and below cement and steel.- How decoupling thermal demand from the electricity price typically can cut the gas bill by around 50%.- Why a 20-foot-container module stores about two megawatt hours, stacks three high, and loses only around 2% of capacity per day.- Why a flexible, interruptible asset is exactly what congested grids need - and why Germany still lacks the flexible connection framework the Netherlands is rolling out.Ask Ko, Modo Energy's AI analyst, any question from this conversation: https://modoenergy.com/sign-up?utm_source=podcast&utm_medium=podcast_apps&utm_campaign=Alex Robertson&utm_content=ko_signupRead the companion article: https://modoenergy.com/transmission-podcast/80ce6824-59a1-495b-9e94-0a38bdb9572e?utm_source=podcast&utm_medium=podcast_apps&utm_campaign=Alex Robertson&utm_content=article_pageModo Energy's solar and battery forecasts are live at modo.energy.You can watch or listen to new episodes every Tuesday. Transmission is a Modo Energy production. Your host is Ed Porter - Director EMEA & APAC at Modo Energy.Chapters 0:00 - Introduction0:11 - Industrial heat demand and the gas problem1:13 - One thing everyone gets wrong about thermal storage3:14 - How the concrete thermal battery works4:08 - Medium temperature heat and the customer profile6:56 - Why gas boilers still dominate German industry7:52 - Using storage to beat the gas price10:09 - Concrete versus lithium-ion: cost and supply chain13:10 - Degradation and the 25-year thermal capacity16:02 - Scaling up: module size and storage capacity16:40 - Daily cycling and storage duration economics19:50 - Seasonal variation and running gas in winter23:33 - Cost, savings and the five-year payback24:36 - The ideal customer and the grid connection test25:46 - Data centres, demand queues and grid congestion28:02 - Flexible connection agreements and the system design gap30:10 - Grid utilisation versus grid buildout33:34 - Heat as a service and unlocking investment36:04 - A contrarian view on industrial decarbonisationMusic licensed via Artlist.

Two thirds of industrial energy demand is heat, not electricity, and most of it still runs on gas. Thermal storage converts cheap electricity into heat, stores it in concrete, and dispatches it when the factory needs it, undercutting the gas bill even though gas is cheaper per unit on average. Alex Robertson, CEO of ENERGYNEST, joins Ed Porter to explain how a thermal battery works, why it competes with lithium-ion on cost, and why grid connections - not the technology - are the real constraint on industrial decarbonisation.They cover:- Why thermal storage functions like a battery on the energy markets but stores heat one-way in optimised concrete.- The medium-temperature "frying, drying and applying" range (roughly 150 to 300C) that sits above heat pumps and below cement and steel.- How decoupling thermal demand from the electricity price typically can cut the gas bill by around 50%.- Why a 20-foot-container module stores about two megawatt hours, stacks three high, and loses only around 2% of capacity per day.- Why a flexible, interruptible asset is exactly what congested grids need - and why Germany still lacks the flexible connection framework the Netherlands is rolling out.Ask Ko, Modo Energy's AI analyst, any question from this conversation: https://modoenergy.com/sign-up?utm_source=podcast&utm_medium=podcast_apps&utm_campaign=Alex Robertson&utm_content=ko_signupRead the companion article: https://modoenergy.com/transmission-podcast/80ce6824-59a1-495b-9e94-0a38bdb9572e?utm_source=podcast&utm_medium=podcast_apps&utm_campaign=Alex Robertson&utm_content=article_pageModo Energy's solar and battery forecasts are live at modo.energy.You can watch or listen to new episodes every Tuesday. Transmission is a Modo Energy production. Your host is Ed Porter - Director EMEA & APAC at Modo Energy.Chapters 0:00 - Introduction0:11 - Industrial heat demand and the gas problem1:13 - One thing everyone gets wrong about thermal storage3:14 - How the concrete thermal battery works4:08 - Medium temperature heat and the customer profile6:56 - Why gas boilers still dominate German industry7:52 - Using storage to beat the gas price10:09 - Concrete versus lithium-ion: cost and supply chain13:10 - Degradation and the 25-year thermal capacity16:02 - Scaling up: module size and storage capacity16:40 - Daily cycling and storage duration economics19:50 - Seasonal variation and running gas in winter23:33 - Cost, savings and the five-year payback24:36 - The ideal customer and the grid connection test25:46 - Data centres, demand queues and grid congestion28:02 - Flexible connection agreements and the system design gap30:10 - Grid utilisation versus grid buildout33:34 - Heat as a service and unlocking investment36:04 - A contrarian view on industrial decarbonisationMusic licensed via Artlist.

Send us a note about this episode. We'll reply and thank you on a future episodeCommunications has always been built around a sender mentality. We decide what people need to know, we package it, we push it out. That model came from journalism and broadcasting, three networks, eleven o'clock news, one message for everyone. It made sense then. The infrastructure has changed completely since. Audiences have become producers. People choose what they consume, when they consume it, and they unsubscribe from what no longer serves them.That transformation happened entirely in the outside world. Inside organizations, almost nothing changed. And the question this episode keeps coming back to is a simple and uncomfortable one: why are we still broadcasting when everything outside us has already moved on?This episode was recorded ON LOCATION at IABC World Conference in Toronto in June 2026.Listen For4:34 How did audiences become producers of their own news and information?6:16 Why does internal communication need to become recipient-driven?9:33 How can communicators create identity moments that cut through white noise?11:28 How did opening in Spanish create a powerful diversity and inclusion moment?16:51 How is AI changing the communicator's role from creator to prompt strategist? Guest: Brad WhitworthLinkedIn The IABC Handbook of Organizational CommunicationThe IABC Guide for Practical Business Communication: A Global Standard PrimerDougSubstack | Website | LinkedIn Are you a brand with a podcast that needs support? Book a meeting with Doug Downs to talk about it.Apply to be a guest on the podcastConnect with usLinkedIn | X | Instagram | You Tube | Facebook | Threads | Bluesky | PinterestSupport the show

On retrouve Nicolas Carro pour la deuxième partie de son portrait. Avant les grandes tables, il comble les manques. Flunch et ses 900 steaks à l'heure, la Réunion et sa licence en cuisine de l'océan Indien, puis l'hôtellerie, assistant de direction à 21 ans, jusqu'à une démission le lendemain d'une remarque de trop.Retour en cuisine par le réseau près de Bordeaux, aux côtés de Jean-Luc Rocha, Meilleur Ouvrier de France 2007. Trois ans à apprendre tous les postes. Il y rencontre aussi sa future femme.Direction Londres, chez Claude Bosi, au bistrot Mayfair. L'anglais qu'il a négligé le rattrape. Le doute s'installe, il pense à tout arrêter. Puis il postule spontanément dans sept maisons deux étoiles et reçoit une réponse à 5h43 du matin.C'est Olivier Nasti au Chambard, deux étoiles fraîchement reçues en 2014. Il voulait apprendre la viande ; il apprendra le gibier, jusqu'à trente chevreuils par semaine et ce que veut dire être chef propriétaire. Il reste six ans dans cette maison.Pour découvrir la cuisine de Nicolas Carro avec une vue imprenable sur la mer, c'est ici.

There are currently a number of transmission line projects being planned in Texas.  These projects will impact landowners across the state.  Luke Ellis joins us to talk about tranmission lines in general, the PUC routing process, and eminent domain. Eminent Domain Playlist: https://aglaw.libsyn.com/category/Eminent+Domain Previous Episodes with Luke Ellis:  https://aglaw.libsyn.com/episode-18-luke-ellis-eminent-domain-in-texas https://aglaw.libsyn.com/episode-135-luke-ellis-tx-supreme-court-eminent-domain-decisions-part-1 https://aglaw.libsyn.com/episode-136-luke-ellis-tx-supreme-court-eminent-domain-cases-part-2 Restraunt Recommendations from Luke Ellis: https://juaninamillion.com https://ironworksbbq.com https://www.clarksoysterbar.com/locations/austin#menus     

On reçoit cette semaine dans le podcast Nicolas Carro, chef installé dans l'hôtel de Carantec face à la baie de Morlaix, dont le parcours commence en plein cœur de la Bretagne dans une famille d'agriculteurs. Dans cette première partie, Nicolas Carro raconte une enfance au milieu des vaches et une mère si protectrice qu'elle lui interdit le foot et le scooter pour l'inscrire à l'accordéon. À table, les repères sont déjà là : les tomates du jardin, le roast-beef du dimanche et le goût des bonnes choses.Pour tester sa motivation, ses parents lui trouvent un stage dans un routier de 500 couverts. Pendant une semaine, il n'épluche que des pommes de terre. Épuisé mais fasciné, il comprend que la cuisine est faite pour lui.Puis viennent l'école hôtelière à Saint-Malo, les premiers mentors, les concours et les stages dans les grandes maisons. Jusqu'à Paris et Alain Passard, où il découvre l'exigence de la haute gastronomie, la créativité sans limites et l'envie d'aller toujours plus loin. L'histoire ne fait alors que commencer.Pour découvrir la cuisine de Nicolas Carro avec une vue imprenable sur la mer, c'est ici.

Dans cet épisode, je reçois Maëlle Desard (@maelle.desard) autrice de roman d'imaginaire et contemporain, aux éditions Slalom, Rageot et Milan. Maëlle vient ici nous parler de ses publications, mais surtout de la façon dont ses histoires permettent de faire de la pédagogie, tout en usant de traits d'esprits et d'humour, à destination des adolescents. Maëlle accompagne aussi les auteur.ices lors des pitchs des Imaginales, le salon de l'imaginaire d'Epinal, mais aussi par deux fois lors du concours imaginaire des éditions Rageot. C'est une autrice multi-genre, qui propose toujours des histoires originale, qui font du bien au moral ! Si vous voulez échanger avec moi, je vous donne RDV sur mon compte instagram : @carolinepeifferautrice. Photographie : ©LausannePhoto Studio

Why does it feel like reality itself is changing?In this profound conversation, Asil Toksal returns to discuss the unprecedented energetic shifts taking place across humanity. Through his work with Evolution One and his connection to higher consciousness, Asil shares why so many people are experiencing emotional upheaval, spiritual awakenings, strange synchronicities, and a growing sense that the old world is no longer working. He explains how humanity is moving through a collective upgrade—one that is challenging every aspect of our lives while simultaneously creating the possibility for extraordinary growth.Together, we explore consciousness, frequency, energetic capacity, spiritual service, collective awakening, and the role each individual plays in humanity's evolution. Asil also delivers a powerful channeling from the Elohim about the future of human consciousness, the acceleration of spiritual growth, and why learning to choose love, presence, and inner alignment may be the most important task of our lifetime. This is a conversation about transformation, purpose, and the hidden forces helping humanity evolve through one of the most significant periods in modern history.Become a supporter of this podcast: https://www.spreaker.com/podcast/next-level-soul-podcast-with-alex-ferrari--4858435/support.Take your spiritual journey to the next level with Next Level Soul TV — our dedicated streaming home for conscious storytelling and soulful transformation.Experience exclusive programs, original series, movies, tv shows, workshops, audiobooks, meditations, and a growing library of inspiring content created to elevate, heal, and awaken. Begin your membership or explore our free titles here: https://www.nextlevelsoul.tv

On this episode of Anomalous Waves *** We continue our journey through the archives - this time we explore mysterious balls of light witnessed through various eras and cultures. Written, Researched, and Narrated by Amalia A. and Jon McEdward Edit, Original Music, and Sound Design by Jon McEdward RESOURCE CENTER Join: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Anomalous Waves Network⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website: ⁠anomalouswaves.com⁠ Follow: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@anomalouswaves⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ *** ⁠⁠⁠DIRECTORY⁠⁠⁠ *** *Transmission received at anomalouswaves@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Share your experience with Euphomet ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Euphomet Contact Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Signal Hotline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or send your own recording to jim@euphomet.com Support Euphomet Join ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Society of The Strange⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠iTunes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@euphomet⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and #euphomet *Transmission received at jim@euphomet.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Join us in this first of its kind transmission with the Arcturian energies and consciousness to assist us in the sleep and dream world.  This is a multi-layered transmission first and foremost to help us recover quickly and fully on all seven subtle body levels.  The frequencies and energies will help us to recover, rejuvenate, and rest on the physical, etheric, emotional, mental, causal, spiritual, and divine levels.  It will also allow us to integrate our life experience and draw out the wisdom from the previous daytime experiences.  You can use the transmission just before bed to accelerate your recovery during your main body of sleep.  The transmission can also be used when taking a nap during the day to feel fully recharged.The program consists of a 40 minute transmission guided by the Divine, Your Inner World Teachers and Guides, the Arcturians, the Angels and Archangels of Sleep and Dreams, Your Holy Guardian Angel, and Your Higher Self.  This transmission will systematically go through each subtle body to rest, recover, and rejuvenate it.  Also, in case you want to do inner world work with your guides and/or Arcturians, there is an energetic encoding at the end to be taken to anywhere in the astral world that may need help.After the transmission we will take a 10 minute break followed by a new moon and group pillar meditation.  This meditation is meant to further seal the ability to recover quickly during sleep and also to empower any new goals or intentions set for the upcoming month or year.This is a great time to maximize your healing and work performance by getting a full and complete rest in an efficient amount of time.

Thee Songs: You Know You Can't Resist – The Headcoatees Ozma – Shannon and the Clams Pancho and Lefty – Townes van Zandt Your Love Is So Doggone Good – Esther Phillips Bells of Rhymney – Gram Parsons Far Off Places – Brown Horse Marching There and Back Again – Sidney Dale Dance Music (Special DJ Mix by STS) – R.D. Burman Light Flight – Pentangle Disque Blue – Wonderfulsound 12XU/Bobby Moore Is Innocent – Serious Drinking I'm Not the Only One – The Roves Crazy Legs – Calvin Johnson & The Snow Tones Migas 2000 – The Liminañas Watusi Zombie – Jan Davis Matti B – Jimi Tenor Animal Mentality – Patrik Fitzgerald Mustard Sauce – Parlor Greens

Replay sortie en 2022 - Bienvenue dans cet épisode du Sweet Papi Podcast ! Aujourd'hui, nous accueillons Vanessa Buhrig , autrice, éditrice de guides de voyage, photographe et fondatrice des éditions Akasha.Inspirée par les souvenirs précieux et parfois trop tardifs de son grand-père, Vanessa a créé un concept unique : un livre papier sonore qui mêle voix, photos et textes pour transmettre la mémoire de nos proches. À travers son parcours et son projet innovant, elle nous raconte comment cet outil permet de stimuler la mémoire des aînés, de créer du lien intergénérationnel et d'offrir une nouvelle façon de raconter et préserver nos histoires familiales. Préparez-vous à découvrir une belle idée qui réinvente l'art de la transmission avec sensibilité et émotion !

Dans cet épisode de CHEFS D'ENTREPRISE-S, on reçoit Priscilla Trâm, fondatrice et cheffe de Trâm 130 et Trâmette, restaurant et comptoir du 11e arrondissement de Paris où elle mêle cuisine bistronomique et influences asiatiques dans une approche personnelle, loin des étiquettes traditionnelles.Priscilla est la fille d'immigrés vietnamiens arrivés en France après la guerre. Élevée entre les banquettes de restaurants, les grandes tablées familiales et l'exemple de parents entrepreneurs qui ont tout sacrifié pour leurs enfants, elle suit d'abord la voie de l'excellence académique : études de droit entre Paris, New York et San Francisco, puis carrière d'avocate entre Hong Kong et la France. En parallèle, elle commence à cuisiner par passion, organise des pop-up dans des restaurants parisiens, lance ses propres événements culinaires puis développe une activité de restauration qui finit par prendre autant de place que sa carrière juridique. Après plusieurs années à mener ces deux vies de front, elle choisit finalement de se consacrer entièrement à la cuisine et ouvre Trâm 130, avant de lancer un deuxième établissement Trâmette.Un épisode sur le syndrome de l'imposteur, la transmission familiale, l'ambition sociale et sur cette conviction que l'on peut construire sa place partout, même lorsqu'on n'a ni les codes, ni le parcours attendu, à condition d'assumer pleinement son identité.Cet épisode existe grâce au soutien de notre partenaire LightSpeed, une solution ultra efficace pour les professionnels qu'on vous invite à découvrir ici !

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

Tell us what you think of the show! Welcome to the premier edition of the Factor This Policycast, a brand-new podcast partnership with national industry association Advanced Energy United, tackling the legislation, rulemaking, and market design that matter to clean energy leaders.Hosted by Factor This content director and Emmy-Award winning journalist Paul Gerke, this series of discussions will feature voices from across the energy policy landscape and spotlight issues shaping the evolution of our electric grid.The first topic is one that you may have spotted in recent headlines: competitive transmission solicitation. It's no secret that large-scale, critical electrical infrastructure projects like high-voltage transmission lines cost a LOT to build and take some time to come online.About 15 years ago, the Federal Energy Regulatory Commission, or FERC, mandated that utilities competitively bid out such projects, but that mandate isn't being enforced, for reasons we'll get into on the program. New data points to tremendous benefits from competitive transmission, though, including billions of dollars ultimately saved by ratepayers. Detractors argue the bidding process delays timelines and subjects projects to hidden costs, and a group of Midwest utilities has even asked FERC to halt bidding in MISO and SPP. On this episode of the podcast, Factor This's Paul Gerke is joined by Caitlin Marquis, managing director at Advanced Energy United, and Paul Cicio, chair of the Electricity Transmission Competition Coalition (ETCC). Both are advocates for competitive transmission and share findings to support their case. They discuss that utility request to ban competition outright, talk about FERC's role in all of this, and explore the finer points complicating broader transmission build-out- at a time we really need it.New episodes of the Factor This Policycast go live at 6 am ET every other Thursday.Want to make a suggestion for This Week in Cleantech? Nominate the stories that caught your eye each week by emailing  Paul.Gerke@clarionevents.com

In this episode of The Right Idea, Derek Cohen sits down with Carson Clayton, TPPF Life Powered Campaign Director, to break down the controversial 765 KV transmission lines (Strategic Transmission Expansion Plan / STEP).Texas lawmakers and activists are sounding the alarm over a $33 billion plan to build massive ultra-high voltage transmission lines across the state — cutting through pristine Hill Country and farmland — instead of addressing the root cause: Texas' broken energy market that over-subsidizes intermittent wind and solar while under-building reliable dispatchable power.Featuring powerful clips from Senator Kevin Sparks and Representative Brad Buckley.Key Topics:Why the Permian Basin — one of the most energy-rich regions in the world — needs power imported from Central TexasHow federal subsidies, ESG pressure, and ERCOT's energy-only market are distorting investmentThe massive cost to ratepayers and landownersWhat real market reform looks like to prevent blackouts and unnecessary transmission boondogglesTimestamps:00:00 - Welcome & Introduction to the 765 Lines Controversy01:23 - What Are the 765 KV Transmission Lines?02:41 - Senator Kevin Sparks on the Permian Basin Plan04:40 - Why Wind & Solar Boom Created a Reliability Crisis08:37 - Senator Sparks on ERCOT Market Failures & Subsidies09:39 - How the Energy-Only Market Rewards Unreliable Power12:19 - Federal Policy, ESG, and Renewable Credits Driving the Problem15:12 - Rep. Brad Buckley: Pause the Project & Reform the Market17:02 - Proposed Market Reforms (SB 715 & Reliability Standards)20:01 - The Coming Reliability Cliff & Why Transmission Is Just a Band-Aid21:22 - How Much Gas Generation Would Make the 765 Lines Unnecessary?If you care about Texas energy independence, affordable electricity, property rights, and keeping the lights on, this is a must-watch.

Bonjour et bienvenue sur Wine Challenge,Au programme de ce 132ème épisode, partons direction Villers-Marmery, à la rencontre de Florian Villiere, du Champagne Sadi-Malot : 00:55' : Ses premiers pas vers le monde vigneron01:49' : Son parcours jusqu'en Champagne 02:21' : Sa vision du métier de vigneron02:40' : Se faire une place dans la région04:13' : Sa rencontre avec Cindy04:55' : Des expériences en Australie et en Bourgogne06:16' : Retour sur le domaine familial de Cindy06:53' : Transmission entre générations 07:39' : Souvenirs de sa première vendange08:14' : Des peurs et des doutes09:53' : Travailler en famille10:16' : La construction d'un nouveau chai11:20' : La conversion en bio et sa vision de la biodynamie12:26' : L'éco-pâturage12:59' : Les terroirs de Villers-Marmery et de Verzy14:43' : Sa rencontre avec Sébastien Mouzon15:10' : Transmettre à son tour15:48' : La regard de sa famille 16:19' : L'avenir de la Champagne 17:45' : Quelques conseils18:12' : Du sport pour conclure…Belle écoute à toutes et à tous !Crédit Photo : Florian Villiere Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

A coalition of people opposing a massive transmission line project in the Driftless region have sued to stop it from being constructed.  Trump allies plead not guilty to charges related to the 2020 election. And, we hear from the Senate's Democratic leader about the November election.

Another round of easy triva!See omnystudio.com/listener for privacy information.

In episode 232, we discover The Truth About Connection, chapter 3 in Jefferson Fisher's  outstanding book, The Next Conversation. This was a powerful point:“You're living in a world of transmission, not connection. . .Transmission conveys information, but connection breathes life into it.”Transmission is reading sheet music and connection is hearing a symphony perform it.We must remember that connection has 2 parts: understanding and acknowledgement, both must be present to have connection. It is important to note that we can understand and acknowledge without agreeing.As Jefferson's dad put it, “You don't have to like it. You just need to understand it.”He allowed Jefferson space to disagree. Connection can be positive and negative.There are 3 ways connection can be cut off:Lack of awarenessLack of understandingLack of self-assuranceAre you ready to dive into living a life well lived? Kate referred to it as grace under pressure and   connected it to the Madame Chic books. Sheila connected it to John Wayne's quote:“Courage is being scared to death and saddling up anyway.” Blessings!

Something is building this summer. And during the New Moon in Gemini Spirit Circle on June 14th, the Golden Circle Council of Sirius and the Arcturian Council of Light came through with a transmission that speaks directly to what is happening energetically right now — and what is coming.The Councils describe golden energy transmissions currently being sent to Earth, building toward a significant peak this August. They explain what is happening to the planet's electromagnetic field during this time, why so many people are feeling it physically, and what the layers of Earth's energetic body actually look like from their perspective. It is a transmission that reframes what you may be feeling in your body right now as something far more intentional than it might seem.This episode also touches on one of the questions many in the spiritual community are sitting with: alien disclosure. Before the channeling began, the group brought this question forward — and what the Councils offered about the current timeline, and why it feels the way it does, is worth hearing for yourself.Therese also speaks to the importance of discernment when navigating information about interdimensional encounters — and why your own intuition will always be a more reliable guide than external proof.✨ This transmission is an invitation to tune in to what is already moving through the field — and to trust what your own inner guidance is telling you about this extraordinary moment in time.✨ Continue your spiritual journey with Therese Tucker:

How does an historic rise in electricity demand coincide with summer power needs? In this special summer reliability roundtable, we're taking a look at what to expect when it comes to electric bills, power grid reliability, and what it will take to build the infrastructure needed to support future growth while protecting consumers.  EPSA President and CEO Todd Snitchler is joined by Gavin Donohue of the Independent Power Producers of New York (IPPNY), Glen Thomas of the PJM Power Providers Group (P3), Dan Dolan of the New England Power Generators Association (NEPGA), Jan Smutny-Jones of the Independent Energy Producers Association (IEPA), Scott Miller of the Western Power Trading Forum (WPTF), and Michele Richmond of Texas Competitive Power Advocates (TCPA). Together, they provide a regional outlook on summer reliability, discuss the realities behind rapidly growing electricity demand, and explore how different markets are preparing for a future that looks very different from the past twenty years. The conversation examines data centers, power supply, electricity prices, transmission investment, market evolution, and the role competitive power markets can play in meeting future demand while protecting consumers. While each region faces unique challenges, the panel agrees on one thing: reliability, affordability, and economic growth are increasingly interconnected, and the decisions being made today will shape the future of the electric grid for decades to come. Topics include: Summer reliability outlooks across New York, PJM, New England, California, Texas, and the West, Data centers, AI, and the realities of electricity demand growth, Resource adequacy and generation investment, Electric affordability and rising customer bills, Transmission costs and infrastructure planning, The role of competitive markets in meeting future demand, Cost allocation and protecting consumers (who pays for data center growth?), Regional market developments and policy challenges, And what industry leaders believe will be the biggest power sector story over the next year. Host: Todd Snitchler, President and CEO, EPSA Guests:  Gavin Donohue, Independent Power Producers of New York (IPPNY) Glen Thomas, PJM Power Providers Group (P3)  Jan Smutny-Jones, Independent Energy Producers Association (IEPA)  Dan Dolan, New England Power Generators Association (NEPGA)  Scott Miller, Western Power Trading Forum (WPTF)  Michele Richmond, Texas Competitive Power Advocates (TCPA)   Liked this episode? Share it on X @EPSANews or LinkedIn at Electric Power Supply Association. Want more competitive power updates? Sign up for our monthly Power Moves newsletter.

It's been about a month since I mic dropped myself off the show and went on an indefinite hiatus. Since then, I have been finding clarity and restoring my creativity in beautiful ways. As Anne Lamott says so eloquently, "Almost everything will work again if you unplug it for a few minutes, including you."While I am happily unplugged from the show, my work is alive and kicking. My NEST Group Membership is open for new members through the Summer Solstice. We have 3 spots open for new members this cohort, and we start June 22nd.Join us: https://clients.sinclairfleetwood.com/products/courses/view/1157672/?action=signupResonance Retreats have two more dates this year, and September is almost sold out. You can learn more and book your discovery call here: https://sinclairfleetwood.com/retreatsHope you're having a lazy, delicious, easy summer. See you sometime soon!

Les vacances d'été arrivent à grands pas, et avec elles, leur lot de repas en famille au restaurant. Après la polémique de janvier autour de l'"espace sans enfants" proposé par la SNCF, on a eu envie de reprogrammer cet épisode qui questionne la place de l'enfant à table.Qu'on le regarde en tant que parent, voisin de table ou restaurateur, comment considère-t-on un enfant à table ? Peut-on l'emmener dans n'importe quel établissement ? Les chefs pensent-ils à cette clientèle ? Comment réinventer le menu enfant, et accueillir un public qui n'a pas forcément les codes, ni le ticket moyen qui plaît au comptable ?Pour en parler, Lucie Caudrelier et Camille Guillaud nous rejoignent. Lucie était à l'époque directrice communication et marketing du Fooding et a porté l'initiative de Fooding Kids. Elle a depuis été nommée directrice générale du Fooding en avril, toutes nos félicitations !Camille, vous l'avez déjà entendue dans le podcast avec son compagnon Alessandro, qui racontaient comment conjuguer vie de parent et travail en restauration. C'est de cet échange qu'est né ce sujet. Elle nous accueille à nouveau dans son restaurant Candide, qu'on vous invite chaleureusement à découvrir, avec ou sans enfant·s ;)

Spotify DescriptionDid Freemasonry come from the Pagan Mysteries?In this episode of Masonic Muscle: The Origin War, we examine Theory #2 from the 12 origin theories of Freemasonry: the claim that modern Freemasonry may have roots in the ancient Pagan Mystery traditions.This is one of the most powerful and dangerous origin theories because it pulls us into the world of initiation, secrecy, death and rebirth symbolism, sacred drama, hidden teaching, and ancient systems of moral and spiritual transformation.But here is the hard question:Did Freemasonry actually descend from the Pagan Mysteries — or are we looking at shared symbols, similar ritual structures, and human beings using initiation to explain transformation?We discuss:Theory #2 from the 12 origin theories of Freemasonrythe Pagan Mysteries theoryancient mystery schoolsinitiation, secrecy, silence, and sacred dramasymbolic death and transformationEgypt, Greece, Rome, and the ancient worldthe difference between similarity and proofwhy Masons must define “pagan” carefullywhat this theory explains wellwhere this theory becomes difficult to provewhy the mystery-school question still fascinates Masons todayThe Pagan Mysteries theory is not something we swallow whole.We test it.Similarities are easy.Transmission is hard.If Freemasonry shares themes with ancient mystery systems, that matters. But similarity alone does not prove descent. A Mason has to ask better questions:Are we seeing direct influence?Shared symbolism?Common human religious patterns?Later Masonic imagination?Or a real survival of ancient initiatic wisdom?That is the work.Freemasonry may not have come directly from the Pagan Mysteries, but the theory forces us to confront something important:Masonry is not supposed to be shallow.It uses symbols.It uses ritual.It uses darkness and light.It uses preparation, obligation, instruction, and transformation.So the real question may be bigger than origin.What is initiation supposed to do to a man?Have an origin theory, Masonic question, old document, or source recommendation?Write to me at:masonicmuscle357@gmail.comFollow Masonic Muscle:Instagram: @masonicmuscleTikTok: @masonicmuscle357We give you more light — but no light weights.

Please join us for this transformative activation and meditation based on the idea of the Rubicon.  A rubicon is a bounding or limiting line especially one that when crossed commits a person irrevocably.  In this transmission guided by the Divine, Our Guides and Teachers, the Holy Masters, the Arcturians, Our Holy Guardian Angel, and Our Higher Self; we will be downloading the patterns, energies, and frequencies to go all in on whatever goals, intentions, and life path alignments we have accepted in our life.  The patterns downloaded will also allow us to access the commitments necessary to manifest our wildest dreams and deep seated intentions in life.  Furthermore, we will be committing to our inner peace and happiness regardless of the external events that are occurring in our life.  This is a commitment to a bountiful life.After the transmission, we will do a Pillar of Light meditation to anchor the highest frequencies and vibrations possible to hold as we accelerate our spiritual and life path for ourselves, our families, our loved ones, our community, and the world in general.  As we accelerate our consciousness and Light, we create an environment on the planet that is accelerative and enhancing to all involved.

Our debut episode of Terror Drome goes over all the characters released in arguably the best wave of the vintage line, 1985!

Et si l'échec était le meilleur ingrédient d'une grande carrière ?Dans cet épisode intégral, Christian Le Squer raconte son parcours depuis un petit port du Finistère jusqu'à 22 ans au sommet de la gastronomie française.Tout commence à 12 ans, embarqué sur un chalutier en direction de Terre-Neuve. Il tombe amoureux du métier du cuisinier du bord. En rentrant à terre, sa décision est prise.Paris par la petite porte, une brasserie à 800 couverts, le Divellec, le Taillevent, le Ritz. Il rate le Meilleur Ouvrier de France. L'échec le dévaste, puis le libère. Son beau-père lui dit tout haut ce que personne n'ose lui dire. Il remet tout à plat, fait enfin sa cuisine puis la première étoile arrive un an plus tard.En 1999, le Doyen. En 2002, trois étoiles. En 2014, le George V avec la mission d'amener le restaurant au sommet en une année. Il décroche à nouveau le graal, les 3 étoiles. Un épisode sur ce qu'on construit quand on transforme chaque échec en carburant et sur un chef convaincu que sans ses équipes, on n'est rien.Pour découvrir la cuisine de cet immense chef breton, rendez-vous au Cinq dans l'hôtel Four Seasons George V à Paris.

En 1996, le premier épisode de la série « Xena la guerrière » s'ouvre sur un épique générique. Le show de John Schulian et Robert Tapert est un spin-off de la série Hercule. A l'origine de la complexité de la série, on a un duo. Il y a Xena, la brune a frange, dont le robuste bouclier épouse parfaitement les courbes. Et il y a Gabrielle, la blonde, à frange aussi, plus champêtre avec son bustier vert et sa jupe marron. Xena et Gabrielle sont deux personnages aux antipodes, physiquement, on l'a dit, de par leur parcours, et par voie de conséquence, dans leurs personnalités. Un podcast Bababam Originals Ecriture et voix : Alice Deroide Learn more about your ad choices. Visit megaphone.fm/adchoices

Please join us for this new moon in July transmission where we receive an upgrade to our brain's thinking and computing capacity with the Arcturian New Brain Transmission.  The program will start with a short discussion on the latest neuroscience that can help us achieve increasing capacities of our brain and brain function.  We then will do a 45 minute transmission meant to both upgrade and heal our brain.  The upgrade portion will enhance our thinking capacity, memory capacity, creative thinking, brain energy, and bilateral use of both hemispheres of the brain.  The healing aspect of the transmission will help and balance brain fog, memory loss, brain damage from stroke, and early stage dementia and Alzheimer's.After the transmission we will take a 10 minute integration break followed by a new moon intention setting Pillar of Light meditation.  We will be invoking the Masters and Teachers in the Inner World to assist us in setting new intentions for the month.  We will be utilizing the power of the new moon and our group pillar to empower our new goals and intentions for the month and the remainder of the year.

Tracklist: Hardwell, Azteck & Dr Phunk - Low The Rocketman - Loca Maddix & Lilly Palmer - Late At Night Naeleck & Marnik - Boyz In Paris (W&W HardRave Mix) MOTVS - Burning Hardwell & Maddix - Rave Till My Grave Bloody Beetroots Ft. Steve Aoki - Warp 1.9 (Creeds Remix) Dimitri Vegas, Bountyhunter & Junkie Kid - Woops (Dimitri Vegas & Junkie Kid Remix) SHVDZ & tmpl - XTC Nifra - Obey The Code Nifra - Madness Olly James - Straight From The Underground IOA - The Acid Vibe Vivid - WTF Dr Phunk & Avao - The Sky Is Rumbling Activator - Speaking Italian Fantasm - Sparta

Dans cet épisode de CHEFS D'ENTREPRISE-S, on reçoit Félix de La Haye, directeur général de Tomorrow Food, cabinet de conseil en stratégie restauration et loisirs qui aide hôteliers, foncières et opérateurs de grandes surfaces à créer leur offre de restauration.Félix a grandi à Compiègne, pas bon élève. Son chemin passe par une licence de droit redoublée, un départ en Australie où il découvre l'adrénaline des cuisines de Melbourne, puis un retour en France comme formateur RH chez Canard Street. Il rejoint Tomorrow Food en stage, en devient directeur général en quatre ans et pilote la cession de la boîte à un opérateur immobilier. Aujourd'hui l'agence travaille pour Marriott, la Française des Jeux, des chaînes hôtelières 4 étoiles en créant des concepts qui collent aux territoires et aux publics locaux.Un épisode sur l'art de dire à un client que son idée ne peut pas fonctionner et sur cette conviction que la restauration et les loisirs sont les seules activités que personne ne pourra se faire livrer à domicile.Cet épisode existe grâce au soutien de notre partenaire LightSpeed, une solution ultra efficace pour les professionnels qu'on vous invite à découvrir ici !

The Public Service Commission of West Virginia is currently conducting public comment hearings concerning developer NextEra Energy's application to construct a new 107.5-mile-long transmission line from Pennsylvania through West Virginia to Virginia. WVPB spoke with NextEra about the project. The post A Discussion On The NextEra Transmission Line Proposal, This West Virginia Morning appeared first on West Virginia Public Broadcasting.

Thee Songs: Fugitivo de Alcatraz – Los Saicos Frying Up – Flaming Lips Shake the Shackles – Crystal Stilts Don't Ask the Question - Danny and the Darlenes Battery Townsley – Sic Alps I Can't Feel It – Ty Segall The Mating Game – The Monochrome Set Undertaker – The Bevis Frond Dark Days – Yard Act Airways – Holiday Ghost Satan In Love – Emilia Tremblin'- Birdy Green Timothy Grub – Vashti Bunyan Cruel Mother (Drokk remix) – ØXN The Duel – Pyrope Revolt Into Style – Bill Nelson's red Noise No Exit – Gil Scott-Heron Three Days of the Condor – Geoff Love and his Orchestra Sorrow – Dumb Blondes

Most battery revenue projections stop at the day-ahead auction. But the optimisers running multi-gigawatt BESS portfolios argue that's where the money is being left on the table - re-trading a battery through intraday, balancing, and ancillary services can add 50% or more to revenue, and battery offtake structures like floors, tolls, and swaps only make sense once you understand how that value actually gets captured.In this episode of Transmission, Ed Porter sits down with Brian Lonn, Head of UK Flexibility at Statkraft, to break down how a multi-gigawatt battery optimisation desk actually trades batteries and the offtake structures it offers on top.They cover:How battery re-trading works in practice.How Statkraft scaled its GB flex portfolio from 22MW of intraday-active battery volume to ~4.5GW under contract and why this scale is the precondition for offering offtake at all.Why the battery optimisation market could consolidate and what that means for smaller optimisers and asset owners.How battery floors, tolls, and day-ahead swaps differ in tenor and purpose, with a working £/MW ballpark for each on a 2-hour battery.Brian's contrarian view on Clean Power 2030: why the real question for the GB power system is megawatt-hours, not megawatts.Want sharper answers on battery storage markets? Ko is Modo Energy's AI analyst, built on our underlying data and research. Ask Ko anything: https://modoenergy.com/sign-up?utm_source=podcast&utm_medium=youtube&utm_campaign=brian_lonn&utm_content=ko_signupRead the companion article: [COMPANION ARTICLE URL — TBC]You can watch or listen to new episodes every Tuesday. Transmission is a Modo Energy production. Your host is Ed Porter - Director EMEA & APAC at Modo Energy.00:00 Introduction01:06 What everyone gets wrong about battery asset optimisation05:14 Statkraft's GB flex portfolio — scaling to 4.5GW07:24 Inside a battery trading desk — the operational reality10:02 Re-trading explained — and the £100 to £150 worked example16:49 How algorithmic intraday battery trading has evolved19:50 Re-trading uplift — 50%+ over day-ahead-only battery revenue22:14 The balancing mechanism and NESO's role in battery dispatch29:58 Battery offtake structures — floors, tolls, and day-ahead swaps37:35 Co-location — solar and battery storage in the GB market45:36 How to break into battery asset optimisation and energy trading49:04 Brian's contrarian view — megawatts vs megawatt-hours50:03 Why battery augmentation matters for Clean Power 2030Music licensed via Artlist.

Most battery revenue projections stop at the day-ahead auction. But the optimisers running multi-gigawatt BESS portfolios argue that's where the money is being left on the table - re-trading a battery through intraday, balancing, and ancillary services can add 50% or more to revenue, and battery offtake structures like floors, tolls, and swaps only make sense once you understand how that value actually gets captured.In this episode of Transmission, Ed Porter sits down with Brian Lonn, Head of UK Flexibility at Statkraft, to break down how a multi-gigawatt battery optimisation desk actually trades batteries and the offtake structures it offers on top.They cover:How battery re-trading works in practice.How Statkraft scaled its GB flex portfolio from 22MW of intraday-active battery volume to ~4.5GW under contract and why this scale is the precondition for offering offtake at all.Why the battery optimisation market could consolidate and what that means for smaller optimisers and asset owners.How battery floors, tolls, and day-ahead swaps differ in tenor and purpose, with a working £/MW ballpark for each on a 2-hour battery.Brian's contrarian view on Clean Power 2030: why the real question for the GB power system is megawatt-hours, not megawatts.Want sharper answers on battery storage markets? Ko is Modo Energy's AI analyst, built on our underlying data and research. Ask Ko anything: https://modoenergy.com/sign-up?utm_source=podcast&utm_medium=youtube&utm_campaign=brian_lonn&utm_content=ko_signupRead the companion article: [COMPANION ARTICLE URL — TBC]You can watch or listen to new episodes every Tuesday. Transmission is a Modo Energy production. Your host is Ed Porter - Director EMEA & APAC at Modo Energy.00:00 Introduction01:06 What everyone gets wrong about battery asset optimisation05:14 Statkraft's GB flex portfolio — scaling to 4.5GW07:24 Inside a battery trading desk — the operational reality10:02 Re-trading explained — and the £100 to £150 worked example16:49 How algorithmic intraday battery trading has evolved19:50 Re-trading uplift — 50%+ over day-ahead-only battery revenue22:14 The balancing mechanism and NESO's role in battery dispatch29:58 Battery offtake structures — floors, tolls, and day-ahead swaps37:35 Co-location — solar and battery storage in the GB market45:36 How to break into battery asset optimisation and energy trading49:04 Brian's contrarian view — megawatts vs megawatt-hours50:03 Why battery augmentation matters for Clean Power 2030Music licensed via Artlist.

Transmission incoming from the insane world of Ratner's Star, DeLillo's fourth novel, a major change in his fiction and his most difficult text, underappreciated as precedent for his later turns on encyclopedic form in Libra and Underworld. Ratner's also has, though, tons of connections to earlier works like Americana and End Zone. In this episode DDSWTNP celebrate Ratner's fiftieth anniversary with a wholly new re-reading of a book that remains for us hilarious, pleasurable, and a huge reading challenge. We consider how Ratner's Star, like any masterpiece, teaches us how to read its fabulations from its first page on. We examine its relentless juxtaposition of minds and bodies, as well as its dissection of the impulses toward pattern, order, and other “convenient fictions.” We ask what kinds of narrative experimentation with time and perspective DeLillo carries out, especially in the quest for an ultra-logical metalanguage in Part 2. We wonder about how science and math as fields of knowledge and uncertainty relate to DeLillo's later turns to examining history. We do our best to try to understand the relationships of DeLillo's “mohole” physics to Einstein's relativity, and we offer a reading of a Jesuit's interrogation of “red ant metaphysics” and “premature genuflection” that marks a new turn in DeLillo's satires of his Catholic education. We close by disagreeing with a 1976 panning review of the novel as a pale imitation of Pynchon. As we say in the episode, Ratner's fiftieth makes for a great transition into our Summer of Underworld – look for a string of episodes on that big novel from us in the next few months! Enjoy the Ratnerama rendition of our intro music, too. And the rats and the bats and the stars. And in a nod to all ARS Extants out there, this episode is being sent into the podcast universe at exactly 14:28:57 (China Standard Time). Texts mentioned and discussed in this episode: David Cowart, Don DeLillo: The Physics of Language. Athens: U. of Georgia P., 2002. Frank Kermode, The Sense of an Ending: Studies in the Theory of Fiction. New York: Oxford UP, 1967. Tom LeClair. In the Loop: Don DeLillo and the Systems Novel. U. of Illinois P., 1987. Mark Osteen, American Magic and Dread: Don DeLillo's Dialogue with Culture. Philadelphia: U. of Pennsylvania P., 2000. Peter S. Prescott, “Mandarin's Apprentice” [review of Ratner's Star]. Newsweek, June 7, 1976, p. 88.

Last month the PA state House unanimously approved legislation requiring utilities to consider Advanced Transmission Technologies (ATTs) -- hardware and software innovations that make the electric grid smarter and more efficient -- in their infrastructure planning. As the Senate takes up HB 2223, we're republishing our 2025 interview with Jenny Netherton of the Pew Charitable Trusts and Chris D'Agostino of Advanced Energy United. Plus, PEC's John Walliser has an overview of pending energy legislation heading into the General Assembly's busiest season.

This week on the Osterholm Update, Dr. Michael Osterholm and Chris Dall focus on the developing Ebola outbreak in the Democratic Republic of Congo, discussing the U.S. response, whether transmission can be airborne, and addressing travel concerns to Africa. We'll also bring you the latest on the hantavirus outbreak, review a long-awaited report from the FDA on pediatric deaths linked to COVID vaccines, and provide updates on measles and other respiratory viruses. Plus, a Public Health History segment highlighting the first EMS service in the U.S.  Links:‘Among the things he feared most was death': the doctors and nurses dying on the Ebola frontline (The Guardian) Inside the Ebola Epicenter, the Virus Rages With Little to Stop It (The New York Times) Opinion: This Ebola outbreak is a test the world doesn't have to fail (The Washington Post)People with Ebola pose little risk to public in US, experts say (CIDRAP) Transmission of Ebola Viruses: What We Know and What We Do Not Know (ASM Journals) Public Health Alerts: Andes Hantavirus Outbreak on a Cruise Ship, 2026 (NEJM and CIDRAP)  Resources for vaccine and public health advocacy: Voices for Vaccines Families Fighting Flu Vaccinate Your Family Shot@Life Medical Reserve Corps Learn more about the Vaccine Integrity Project MORE EPISODES       SUPPORT THIS PODCAST   Music: "Beauty Flow" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 License

On this episode of Anomalous Waves *** Amalia explores the haunting of a jail cell from 1873. Written, Researched, and Narrated by Amalia A. Edit, Original Music, and Sound Design by Jon McEdward RESOURCE CENTER Join: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Anomalous Waves Network⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@anomalouswaves⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ *** ⁠⁠DIRECTORY⁠⁠ *** *Transmission received at anomalouswaves@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Share your experience with Euphomet ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Euphomet Contact Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Signal Hotline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or send your own recording to jim@euphomet.com Support Euphomet Join ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Society of The Strange⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠iTunes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@euphomet⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and #euphomet *Transmission received at jim@euphomet.com Learn more about your ad choices. Visit megaphone.fm/adchoices

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Vous connaissez probablement l'histoire d'Aladdin ou d'Ali Baba, mais savez-vous d'où proviennent ces contes ?Dans cet épisode, Franck Ferrand nous entraîne dans l'univers fascinant des Mille et Une Nuits, ce recueil de contes légendaires aux origines multiples. Au cœur de cette œuvre emblématique se trouve la figure de Shéhérazade, la conteuse qui a su captiver le sultan Shahriar nuit après nuit pour sauver sa vie.Avec son talent de narrateur hors pair, Franck Ferrand retrace l'histoire de la naissance et de la transmission de ces récits, de la Perse à l'Europe en passant par le monde arabe. Il nous fait découvrir le rôle essentiel joué par l'érudit français Antoine Galland, qui a traduit et adapté les Mille et Une Nuits pour les lecteurs occidentaux au début du XVIIIe siècle.Bien plus qu'un simple recueil de contes merveilleux, les Mille et Une Nuits incarnent une véritable épopée de la parole, où la force du récit triomphe de la violence. À travers la voix de Shéhérazade, c'est toute la puissance de la narration qui s'exprime, capable de changer le regard d'un homme sur le monde et sur lui-même.Que vous soyez familiers ou non avec les aventures d'Aladin, d'Ali Baba ou de Sindbad le marin, cet épisode vous plongera dans un univers riche en péripéties, en magie et en sagesse orientale. Laissez-vous emporter par le charme envoûtant des Mille et Une Nuits !Plongez dans l'histoire des grands personnages et des évènements marquants qui ont façonné notre monde ! Avec enthousiasme et talent, Franck Ferrand vous révèle les coulisses de l'histoire avec un grand H, entre mystères, secrets et épisodes méconnus : un cadeau pour les amoureux du passé, de la préhistoire à l'histoire contemporaine.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Vous connaissez probablement l'histoire d'Aladdin ou d'Ali Baba, mais savez-vous d'où proviennent ces contes ?Dans cet épisode, Franck Ferrand nous entraîne dans l'univers fascinant des Mille et Une Nuits, ce recueil de contes légendaires aux origines multiples. Au cœur de cette œuvre emblématique se trouve la figure de Shéhérazade, la conteuse qui a su captiver le sultan Shahriar nuit après nuit pour sauver sa vie.Avec son talent de narrateur hors pair, Franck Ferrand retrace l'histoire de la naissance et de la transmission de ces récits, de la Perse à l'Europe en passant par le monde arabe. Il nous fait découvrir le rôle essentiel joué par l'érudit français Antoine Galland, qui a traduit et adapté les Mille et Une Nuits pour les lecteurs occidentaux au début du XVIIIe siècle.Bien plus qu'un simple recueil de contes merveilleux, les Mille et Une Nuits incarnent une véritable épopée de la parole, où la force du récit triomphe de la violence. À travers la voix de Shéhérazade, c'est toute la puissance de la narration qui s'exprime, capable de changer le regard d'un homme sur le monde et sur lui-même.Que vous soyez familiers ou non avec les aventures d'Aladin, d'Ali Baba ou de Sindbad le marin, cet épisode vous plongera dans un univers riche en péripéties, en magie et en sagesse orientale. Laissez-vous emporter par le charme envoûtant des Mille et Une Nuits !Plongez dans l'histoire des grands personnages et des évènements marquants qui ont façonné notre monde ! Avec enthousiasme et talent, Franck Ferrand vous révèle les coulisses de l'histoire avec un grand H, entre mystères, secrets et épisodes méconnus : un cadeau pour les amoureux du passé, de la préhistoire à l'histoire contemporaine.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Carlos Juan Finlay was a Cuban doctor who did a lot of work to understand the spread of Yellow Fever. But Walter Reed got most of the credit. Research: American Experience. “Carlos Finlay (1833-1915).” From The Great Fever. PBS. https://www.pbs.org/wgbh/americanexperience/features/fever-carlos-finlay/ Berenbrok, Dorothy E., "Latin Heritage Month. Carlos Juan Finlay: Outrageous, Courageous and Correct" (2015). Posters: Jefferson History. 3. https://jdc.jefferson.edu/jeffhistoryposters/3 "Carlos Juan Finlay." Encyclopedia of World Biography Online, Gale, 1998. Gale In Context: Opposing Viewpoints, link.gale.com/apps/doc/K1631002194/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=bfeecc25. Accessed 29 Apr. 2026. Chaves-Carballo, Enrique. “Carlos J. Finlay: The mosquito man.” Hektoen International. 11/2/2020. https://hekint.org/2020/11/02/carlos-j-finlay-the-mosquito-man/ Corbitt, Duvon C. “Carlos J. Finlay, Cuban Physician.” The Hispanic American Historical Review, Vol. 45, No. 3 (Aug., 1965). Via JSTOR. https://www.jstor.org/stable/2511751 Del Regato, Juan A. “Carlos Juan Finlay (1833-1915).” Journal of Public Health Policy , 2001, Vol. 22, No. 1 (2001). Via JSTOR. https://www.jstor.org/stable/3343556 Faerstein, Eduardoa; Winkelstein, Warren Jrb. Carlos Juan Finlay: Rejected, Respected, and Right. Epidemiology 21(1):p 158, January 2010. | DOI: 10.1097/EDE.0b013e3181c308e0 Ferreira Moreno, Víctor Guillermo. “Evocation to the Dr. Carlos J. Finlay Barres on the centennial of his death.” Colombia medica (Cali, Colombia) vol. 47,1 63-6. 30 Mar. 2016 Finlay, Carlos J. “The Mosquito Hypothetically Considered as the Agent of Transmission of Yellow Fever.” Read before the Royal Academy of Medical, Physical and Natural Sciences Session of August 14th, 1881. https://archive.org/details/b33448541/page/590/mode/1up Finlay, Carlos Juan. “Trabajos selectos del Dr. Carlos J. Finlay. Selected papers of Dr. Carlos J. Finlay.” Habana. 1912. https://archive.org/details/trabajosselectos00finl Finlay, Charles. “Inoculations for Yellow Fever by Means of Contaminated Mosquitoes.” Published in The American Journal of the Medical Sciences, n.s. 102: 264-268, 1891. https://archive.org/details/b33445242/page/n4/mode/1up Finlay, Charles. “Yellow Fever: Its ‘Transmission by Means of the Culex Mosquito.” Published in The American Journal of the Medical Sciences, n.s. 92: 395-409, 1886. https://archive.org/details/b33435698/page/613/mode/1up Palmer, Steven. “A Cuban Scientist Between Empires: Peripheral Vision on Race and Tropical Medicine.” Canadian Journal of Latin American and Caribbean Studies / Revue canadienne desétudes latino-américaines et caraïbes, Vol. 35, No. 69, Special Issue: Landscapes of LatinAmerican Health, 1870-1970. Via JSTOR. https://www.jstor.org/stable/41800498 Spears, Ellen Griffith and Rosa López-Oceguera. “Carlos Juan Finlay, William Gorgas, and Walter Reed and the U.S. Army Yellow Fever Controversy: Competing Historical Memories.” Alabama Review The University of Alabama Press. Volume 74, Number 1, January 2021. https://doi.org/10.1353/ala.2021.0011 Stepan, Nancy. “The Interplay between Socio-Economic Factors and Medical Science: Yellow Fever Research, Cuba and the United States.” Social Studies of Science , Nov., 1978, Vol. 8, No. 4 (Nov., 1978). Via JSTOR. http://www.jstor.com/stable/284817 Thomas Jefferson University. “10 Notable Jefferson Alumni of the Past.” https://library.jefferson.edu/archives/exhibits/notable_alumni/juan_carlos_finlay.cfm Tone, John Lawrence. (2002) “How the mosquito (man) liberated Cuba.” History and Technology, 18:4, 277-308, DOI: 10.1080/07341512.2002.11417735 “Carlos J. Finlay.” 5/16/2023. https://www.unesco.org/en/prizes/carlos-j-finlay/about Woodall, Jack. "Yellow Fever." Infectious Diseases: In Context, edited by Brenda Wilmoth Lerner and K. Lee Lerner, vol. 2, Gale, 2008, pp. 925-931. In Context Series. Gale In Context: Opposing Viewpoints, link.gale.com/apps/doc/CX3045200265/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=bf646a26. Accessed 29 Apr. 2026. See omnystudio.com/listener for privacy information.