Podcasts about Physics

From cosmic rays to solar storms, space travel is a radiation gauntlet—but water may be the simplest, smartest solution. Discover how future starships might turn their life-support systems into life-saving armor.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-itCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

From cosmic rays to solar storms, space travel is a radiation gauntlet—but water may be the simplest, smartest solution. Discover how future starships might turn their life-support systems into life-saving armor.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-itCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

Brian Keating is the Chancellor's Distinguished Professor of Physics in the Department of Physics at the University of California, San Diego, and the principal investigator of the Simons Observatory. He is a public speaker, inventor, and expert in the study of the universe's oldest light, the cosmic microwave background (CMB), using it to learn about the origin and evolution of the universe. Keating is also a writer, podcaster, and best-selling author of “Losing the Nobel Prize,” named one of Amazon Editors' “Best Nonfiction Books of All Time.” Shawn Ryan Show Sponsors: Head to https://superpower.com and use code SRS at checkout for $20 off your membership. Unlock your new health intelligence with 100+ biomarkers tested every year. Live better longer with BUBS Naturals. Get 20% OFF on collagen, MCT creamers, and more with code SHAWN at https://bubsnaturals.com/srs Right now, Babbel is offering listeners up to 60% off. Go to https://Babbel.com/SRS Go to get dot https://stash.com/SRS to see how you can receive $25 towards your first stock purchase and to view important disclosures. Search onX Offroad in the App Store or Google Play to access an off-road navigation app with trail maps, land boundaries, camping info, and offline capability. https://www.onxmaps.com/offroad/app Brian Keating Links: X - https://x.com/BrianKeating Instagram - https://instagram.com/DrBrianKeating Youtube - https://www.youtube.com/DrBrianKeating Website - htttps://BrianKeating.com/srs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Can antimatter be stored safely? Explore magnetic traps, starship fuel, and the terrifying challenge of bottling energy that destroys any container it touches.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Can antimatter be stored safely? Explore magnetic traps, starship fuel, and the terrifying challenge of bottling energy that destroys any container it touches.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

(00:00) — From physics to premed: Riley describes deciding to pursue medicine at the end of sophomore year after shadowing in medical physics.(03:37) — Patient transport as a first clinical role: what it taught him about hospital environments and patient interaction.(04:54) — Staying in the physics major: why switching wasn't necessary and how he fit in prerequisites.(08:24) — Building the premed timeline late: summer courses, goal-setting by semester, and the gap year decision.(16:02) — The hardest part of applying: managing secondaries, imposter syndrome, and the waiting game.(22:23) — Three interviews, three acceptances: what Riley attributes his success to.(25:46) — Interview prep without sounding scripted: the three-theme framework and how to make it feel like a conversation.(31:27) — Choosing between schools: how to go beyond the marketing and talk to real students.(35:47) — Advice for mid-college premeds: taking it one day at a time and celebrating smaller wins.Riley didn't walk into college planning to become a physician. He was drawn to physics, considered medical physics, shadowed in that field, and only pivoted to medicine at the end of his sophomore year — after a mentor asked whether he'd thought about becoming the doctor in the department instead. What followed was a deliberate, practical process of building a premed application without abandoning the major he actually loved. He stayed in physics, added prerequisites alongside his existing coursework, and leaned into what made his background unusual rather than trying to blend in with the typical biology-major applicant. The result was three interviews and three acceptances. In this conversation, Riley and Dr. Gray cover the real mechanics of that process: how to find shadowing when you have no network, what patient transport actually teaches you, how to prepare for interviews without scripting yourself into a corner, and how to choose between schools once you have options. It's a practical, grounded conversation for any premed who feels behind or wonders whether their non-traditional path is a liability.What You'll Learn:- Why staying in a non-biology major can strengthen rather than hurt your application- How to build a shadowing network from scratch using a referral approach- What patient transport does and doesn't offer as a clinical experience- How to prepare for medical school interviews without sounding rehearsed- How to evaluate medical schools beyond rankings by talking to current students

Senior Lecturer of Exercise Science at Kennesaw State University (and certified PRO referee) Kevin Huet stops by to look at the physiology of what it takes to be an official- and what to look for with that job at the World CupPlus, a look at issues for officials and what Kevin is looking to study about effectiveness over time 

What if we found a true second Earth nearby? A living world, a barren paradise, or something too familiar to be natural could change science, politics, and humanity's future forever.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-itCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

What if we found a true second Earth nearby? A living world, a barren paradise, or something too familiar to be natural could change science, politics, and humanity's future forever.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-itCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

Tonight on America at Night with McGraw Milhaven: Scott MacFarlane returns for the weekly “MacFarlane Mondays” segment, breaking down the latest headlines from Washington and providing insight into the stories driving the national conversation. Dr. Darryl Seligman, Assistant Professor in the Department of Physics and Astronomy at Michigan State University, joins the show to discuss 3I/ATLAS, the newly discovered interstellar comet that may be roughly 7 billion years old. Scientists believe the object was traveling through the Milky Way billions of years before our solar system even formed. Dr. Seligman explains what makes this discovery so significant and what it can teach us about the history of our galaxy. Later, Joel Griffith, Senior Fellow at Advancing American Freedom, joins the program to discuss the latest developments surrounding the Iran deal, examining its economic, diplomatic, and national security implications for the United States and its allies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this fascinating interview, Sergiy Nesterenko details the journey that ultimately drove him to solve a critical bottleneck in hardware engineering: the manual, slow process of printed circuit board (PCB) layout. In his discussion with our Moore's Lobby host, Daniel Bogdanoff, Sergiy shares engaging anecdotes from his early career, including a SpaceX internship where he was assigned to literally watch paint dry. He also describes his first attempt at PCB layout at SpaceX, where a power switch board caught fire in his hands. This experience fueled his desire to bring robust automation to the PCB design field. Sergiy explains why traditional auto-routers have failed to gain widespread adoption for sixty years. He then explains how Quilter solves this by leveraging reinforcement learning and computational physics. They discuss several major technical insights and future directions, including: -The software compiler analogy.  -Physics-based automation. -Tackling complex boards.  -His 10-year vision.  

Understanding the relationship between an object's center of mass and its geometric center is key to predicting its movement.

This is our weekly, ad-free compilation of science news.00:00 - Did Physics Just Lose a Brilliant Idea?5:30 - Maths is Cooked: AI's Latest Breakthrough -- And What's Next11:24 - Nuclear Fusion is in Trouble

Scientists in New Zealand have faced increased cuts to science funding in the last few years, with the removal of the Marsden fund for blue-sky research and further cuts announced in this year's budget, with a greater emphasis placed on research commercialisation and funds controlled by the Ministry of Business, Innovation and Enterprise.  I spoke with Professor Richard Easther, head of the Department of Physics at the University of Auckland, about what impact the current government's policies have had on science and what this means for the future of science in New Zealand.

- Electron-on-helium qubits - Is the new Huawei Kirin chip equivalent of a TSMC 3nm chip? - Intel launches 18A-P node, with Power Boost dual-contact transistor - Intersect360 announces market size and forecast - TOP500 analysis coming later this week [audio mp3="https://orionx.net/wp-content/uploads/2026/06/HPCNB_20260622.mp3"][/audio] The post HPC News Bytes – 20260622 appeared first on OrionX.net.

Tara Fortier is a Canadian physicist, originally from Quebec, currently living in Colorado working as Project Leader in the Time and Frequency Division at National Institute of Standards and Technology. Tara does her best to answer a few of Baruch’s Physics questions. Tara will be on Paradigms again so if you have questions for her please email baruch@paradigms.life Music by: Randy Hoexter, Astor Piazzolla, Patti Smith, Imogen Heap, Sameer Gupta, and Rosanne Cash. The post Tara Fortier – Physicist appeared first on Paradigms Podcast.

From Dysonian SETI to waste heat and galactic timelines, we explore why we haven't found Dyson Spheres—and what their absence reveals about civilization.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

From Dysonian SETI to waste heat and galactic timelines, we explore why we haven't found Dyson Spheres—and what their absence reveals about civilization.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

First episode in separate studios! Went well, and we had a fun discussion about the recent JRE Eric Weinstein episode, with the possibility that the science of Physics has been stalled, or purposefully distracted, by the beautiful but seemingly useless mathematics of String Theory. Is it possible that "real physics" simply went "black"...that work is being done in secret that is actually making progress in unlocking the secrets of the universe?   You can support us through Paypal or Patreon by heading over to our support page on our website: https://www.brothersoftheserpent.com/support   Chapters 00:00 Welcome to the Brothers of the Serpent Podcast 07:09 Space Weather Insights 09:55 The State of Modern Physics 22:26 The Intersection of Physics and the Supernatural 34:39 Mysterious Disappearances of Scientists 48:21 Speculation on Missing Persons Cases 51:52 Skepticism and Conspiracy Theories 54:50 Exploring Advanced Physics and UAPs 01:01:06 Theoretical Physics and Its Limitations 01:07:03 Consciousness and Noetic Sciences 01:14:21 Assumptions in Modern Science 01:18:21 The Nature of Gravity and Dark Matter 01:32:43 The Secrets of Advanced Technology 01:41:50 Space Exploration and Hidden Agendas 01:50:02 The Great Pyramid: A Survival Guide? 02:07:14 The Impact of Language on Memory and Cognition

Episode 0954 - Time & Mind Today (Click on the above link, or here, for audio.) Commentary on the current experience of 'time speeding up' with reference to an X/Twitter posting, interpreted by Joseph P. Farrell on his website. Physics & metaphysics of both time & subjective exerience of phenomenal sequence. Changes in atomic measurement of the time unit, the current planetary

Hard News on Friday with Tara Green and Rama Arjuna and guests Solstice Portals, Crystal Healing, and the Watchers at the Threshold of New Earth Opening the Council Fire In this episode of Hard News on Friday, Rainbird opens the broadcast with a ceremonial welcome to “commanders, eagles and angels,” inviting listeners to breathe, enter the heart space, and gather with guides, guardians, ancestors, angels, spirit teams, healing teams, and animal totems. He leads the audience into a sacred council fire meditation and calls in the seven galactic directions with a journey-drum rhythm, setting the tone for a spiritually focused evening centered on planetary energies, solstice portals, disclosure, healing, and transformation. The Mayan Record of Days and a Juneteenth Portal Rainbird then reads the Mayan record of days, beginning with Yellow Planetary Human on Juneteenth. He describes the day as a portal day connected to producing manifestation, perfecting wisdom, sealing the process of free will, and being guided by universal fire. He frames the day as one of enlightenment, human service, abundance, multidimensional contact, and letting go of overdependence on the analytical mind. This opening calendar reading becomes a spiritual map for the week ahead. Solstice, Skywalker, Wizard, and Eagle Energies Rainbird continues through the coming days, describing Saturday as Red Spectral Skywalker, the day before solstice, with themes of self-illumination, strength, dimension-bending, faith, and release from loneliness. Sunday's summer solstice is described as White Crystal Wizard, a magical visionary day connected to clarity, integrity, shamanic energy, and divine will. Monday completes the wave with Blue Cosmic Eagle, a visionary energy of service, source connection, creation, independence, and letting go of despair and separateness. The Warrior Wave and a Week of Alertness The new wave begins Tuesday with Yellow Magnetic Warrior, which Rainbird says brings a 13-day emphasis on integrity, impeccability, right action, cosmic consciousness, and communication with the divine. Wednesday is another portal day, Red Lunar Earth, which Rainbird links to planetary harmony, Earth awareness, intuition, and being alert from June 24 through June 26. Thursday's White Electric Mirror highlights grounded honesty, self-understanding, persistence, and releasing illusions, while Friday's Blue Self-Existing Storm is described as a powerful day of transformation, disclosure potential, freedom, and catalytic change. Housekeeping, Support, and the Talking Stick Rainbird includes the program's regular support requests, reminding listeners that Hard News on Friday is listener-supported and explaining how to donate through BBS Radio. He also mentions the Saturday program, The True History, The History of NESARA and Our Galactic Origins, and shares donation information for Tara and Rama. After this, he passes the talking stick with imagery of fairies, feathers, dolphins, whales, unicorns, and celebration energy, especially connected to Juneteenth. Tara and Rama on Solstice Energies and Global Tension Tara and Rama join the broadcast and acknowledge Rainbird's opening as informative and timely. They describe the energies around the summer solstice as extremely high, pointing to the sun's movement into Cancer, the wounded healer Chiron, the North Node in Pisces, and a sense that things are moving “onward and upward” in positive light. They also speak about intense global situations, including the Middle East, Europe, Russia, Ukraine, Lebanon, Israel, Palestine, Syria, and Jordan, repeatedly calling for love, peace, the Violet Flame, and “give peace a chance.” Kryon on Crystals, Resonance, and Future Healing A major portion of the episode features a Kryon teaching on the power of crystals. The message begins with the work of Royal Rife, who is described as discovering that specific frequencies could resonate with diseased cells and shatter them, much like an opera singer breaking glass with sound. Kryon connects this idea to quartz crystals, piezoelectric effects, data storage, high-frequency vibration, harmonics, and the possibility that crystals could one day be programmed for healing. The future vision presented is of a healing center where a master works with a large quartz crystal to target disease through pure resonance and consciousness-assisted frequency. Physics, Metaphysics, and the Future of Conscious Healing The Kryon segment blends science and metaphysics by suggesting that future healing may involve the cooperation of consciousness, frequency, crystalline substances, and matter. The message imagines a later stage of humanity in which some people evolve into masters of high consciousness who can work directly with crystals and resonance. It then projects even further into a future where individuals themselves become capable of working with programmed crystal frequencies to help dissolve disease. The core theme is that humanity is moving toward a fusion of physics and metaphysics in healing. The Sumerian Cat Tablet and the Watchers Tara and Rama then play part of a segment about a supposed Sumerian tablet from Shadupum describing cats as watchers rather than domesticated pets. The segment claims the tablet describes cats as “eyes that do not sleep,” beings lowered from above who observe households and report through their still, unblinking gaze. The discussion compares this to Egyptian reverence for cats, Bastet, the Eye of Ra, and the idea of cats as guardians of the home and watchers of the night. Tara and Rama connect this to Mother Sekhmet, the Niburuians, and the idea that cats are part of a long-standing cosmic observation system. Mother Sekhmet, the Pashats, and the Watchers of Gaia In the conference-call section, Mother Sekhmet speaks through the broadcast and expands on the cat material, describing the “pashats,” or cat beings, as watchers who have been present since the beginning of life seeding on Mother Gaia. She says they watch over people during sleep and dreamtime while humans do etheric work to help themselves and the planet rise. This segment links the watchers, cats, Mother Gaia, Sirian councils, Nibiru, galactic memory, and the long arc of what is described as a 12,800-year ancient story. New Earth, Zionism, and the Ancient Story of Israel Mother Sekhmet's message then turns to the Middle East and the ancient spiritual story behind Israel, Palestine, Lebanon, Syria, Jordan, Babylon, and the Tigris-Euphrates region. She strongly criticizes Zionism and says the true path is love, compassion, forgiveness, and gratitude rather than war, hatred, or domination. The message refers to “wayward children,” ancient intergalactic conflict, the lost 13th constellation of Ariadne, the spider clan, and scattered tribes, framing current geopolitical conflict as part of a much older cosmic and spiritual history that now must be clarified and healed. Crystalline Solar Light Bodies and the June Solstice The broadcast then moves into a guided visualization from Patricia Cota-Robles about enhancing fifth-dimensional crystalline solar light bodies during the June solstice. The visualization invokes the I AM Presence, Father-Mother God, the Company of Heaven, elemental directors, angelic kingdoms, and the twelve fifth-dimensional crystalline solar aspects of deity. It guides listeners through the etheric, emotional, physical, and mental bodies, associating them with air, water, earth, and fire, while emphasizing divine potential, karmic release, divine love, crystalline cells, vibrant health, divine mind, Christ consciousness, and cosmic wisdom. A Solstice Broadcast of Transformation and Release The episode closes with the sense that humanity is being prepared for tremendous light during the solstice period. Across Rainbird's calendar reading, Tara and Rama's commentary, Kryon's crystal teaching, the cat-watchers segment, Mother Sekhmet's message, and Patricia Cota-Robles' visualization, the shared theme is transformation: old patterns dissolve, higher frequencies enter, the body and planet recalibrate, and humanity is asked to choose love, peace, forgiveness, and conscious participation in New Earth.

Photographers Cheryle St. Onge and Scott Offen join PhotoWork with Sasha Wolf to discuss their photobooks, Calling the Birds Home and Grace, both published by L'Artiere Editions. In this conversation, St. Onge and Offen generously share their deeply personal approaches to collaborating with and photographing people with whom they have profound emotional connections. St. Onge reflects on documenting her mother's experience with dementia, describing the work as an act of communication, care, and connection. Offen discusses his collaborative portrait project with his partner, Grace, exploring themes of co-authorship, gender, representation, and aging. https://www.cherylestonge.com/ https://www.scottoffen.net/ Scott Offen (b. 1960) is an American East Coast photographer whose work has been exhibited across the United States and prominently featured online. Scott holds a Bachelor of Fine Arts and a Master of Fine Arts from Massachusetts College of Art and Design. He was selected as a finalist for the Critical Mass top 200 Photolucida award in 2021 and has been chosen as a participant in the Chico Hot Springs Portfolio Review in 2020 and 2021. Scott became a recipient of the MassArt Graduate Thesis Award in 2024. Cheryle St. Onge was born in Worcester, Massachusetts. She grew up on college campuses as the only child of a Physics professor and a painter. She received an M.F.A. from Massachusetts College of Art in Boston, Massachusetts. St. Onge's work focus on the crossover of art and science and photography's ability to distill our sense of time and curiosity. She makes pictures predominantly with an 8 x 10 view camera and considers her work a collaborative process. Her photographs have been widely exhibited, most notably at London's National Portrait Gallery, Princeton University, Griffin Museum, University of Rhode Island, Massachusetts College of Art, Rick Wester Fine Arts, and with the American Institute of Architects traveling exhibition. She has received numerous awards and residences, among them a 2009 John Simon Guggenheim Fellowship, a Critical Mass Finalist Exhibition Award, Polaroid Materials Artist Support Grant, a Massachusetts Institute of Technology (MIT) Graduate Fellowship, and was named one of the ‘Top 50 Photographers' in the country by Time Magazine.

சிட்னி பல்கலைக்கழகத்தில் பணியாற்றும் பேராசிரியர் Iver Cairns அவர்கள் ஆஸ்திரேலியாவின் முன்னணி விண்வெளி அறிவியலாளர்களில் ஒருவர். Space physics, space weather, solar research மற்றும் satellite technology துறைகளில் பல ஆண்டுகளாக அனுபவம் பெற்றவர். ஆஸ்திரேலியாவின் முதல் ride-share satellite mission ஆன Waratah Seed-1 திட்டத்தில் முக்கிய பங்கு வகித்துள்ளார். Waratah Seed-1 satellite-இன் முக்கியத்துவத்தை Sukruti Narayanan விளக்குவதுடன், அந்த விண்கோள் குறித்தும், ஆஸ்திரேலிய விண்வெளி தொழில்நுட்பம் குறித்தும் பேராசிரியர் Iver Cairnsயுடன் உரையாடுகிறார். நிகழ்ச்சி தயாரிப்பு: றைசெல்.Professor Iver Cairns is one of Australia's leading space physicists, with decades of experience in space physics, space weather, solar research and satellite technology. He is Professor in Space Physics at the University of Sydney's School of Physics and has played a key leadership role in Waratah Seed-1, Australia's first ride-share satellite mission.Waratah Seed-1 is an Australian-built 6U CubeSat that was launched as part of SpaceX's Transporter-11 mission and successfully deployed into Sun-synchronous Low Earth Orbit on 17 August 2024. Sukruti Narayanan explains the significance of Waratah Seed-1 and speaks with Professor Cairns about the satellite, its mission and what it means for the future of Australian space technology.

Can humanity ever travel faster than light, or does every shortcut through spacetime break causality itself? We explore warp drives, wormholes, tachyons, and why the universe pushes back.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Can humanity ever travel faster than light, or does every shortcut through spacetime break causality itself? We explore warp drives, wormholes, tachyons, and why the universe pushes back.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Jim Rock (Sisseton Dakota Father) has taught Chemistry, Physics and Astronomy for over forty years at reservation, urban and suburban high schools, colleges, tribal college and universities. He recently retired as the Director of Indigenous Programming for the Marshall W. Alworth Planetarium and as an instructor in the Physics and Astronomy department of Swenson College of Science and Engineering at the University of Minnesota Duluth. He is an Elder in Residence at the University of Minnesota Twin Cities COIN center and is a founding governing council member of the Makoche Ikikchupi Project to return exiled Ocheti Shakowin Oyate to their sacred homelands, and to live in sustainable earth lodge communities. Show Notes *Makoce Ikikcupi link Speaker Series on YouTube Speaker Series on the Coalition to Dismantle website **

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

Can ghost hunting equipment actually detect paranormal activity, or are investigators sometimes using these tools the wrong way?In this special extended episode of Talking Strange, host Aaron Sagers sits down with paranormal researcher, equipment builder, and science communicator Lauren Hellekson (LaurenHaunts.com) for a deep dive into the technology behind modern paranormal investigations.Together, they break down some of the most popular ghost hunting tools, including digital voice recorders, thermal and infrared cameras, SLS devices, EMF meters, REM Pods, proximity sensors, smartphone apps, and more. Lauren explains what these devices were actually designed to do, how investigators commonly use and misuse them, and practical tips for collecting better evidence in the field.Featured in the BeaconTV documentary series The Bridge Between Dimensions and currently studying Physics and Astronomy, Lauren brings a rare combination of hands-on paranormal experience and scientific perspective to the conversation.Whether you're a seasoned investigator or just getting started, this episode is an essential guide to paranormal equipment. _______________________________________________________________ The Talking Strange Show with Aaron Sagers is a weekly paranormal pop culture show featuring celebrity and author interviews, as well as experts in all things strange and unexplained. Talking Strange is a creation of Aaron Sagers with production help from Michael Ahr. Host Aaron Sagers is a paranormal TV host and journalist who appears as host of 28 Days Haunted on Netflix, and on Paranormal Caught On Camera on Travel Channel, Discovery+, and MAX streaming service. If you like Talking Strange, please subscribe, leave a nice review, and share with your friends. The Talking Strange Paranormal Show is available on Apple Podcasts, Spotify, YouTube, and wherever you check out spooky content. Connect with the show community on Facebook as well. Email us with episode ideas, guest suggestions, and spooky stories: Contact@TalkingStrange.com Follow Host Aaron Sagers: Twitter/X Blue Sky Instagram Facebook TikTok Patreon (For Q&As, livestreams, cocktail classes, and movie watches) Until Next Time: Be Kind. Stay Spooky. Keep It Weird. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on And Now For Something Completely Machinima, Phil Rice, Tracy Harwood and Damien Valentine dive into Michael Is Very Vintage's hilarious Garry's Mod space comedy An Astounding Tale from Outer Space. What begins as a simple spaceship emergency quickly spirals into absurdity when an incompetent captain decides that cloning himself is a better solution than actually fixing the problem.The team explores the film's brilliant use of slapstick comedy, satirical storytelling, inventive sound design, and surprisingly sophisticated filmmaking craft. From Alien and Red Dwarf influences to hidden Easter eggs, classic action-movie tropes, and the unique creative possibilities of Garry's Mod, this episode celebrates one of the most entertaining machinima films of the year.Along the way, the discussion turns to Michael's growing signature style, the role of game-engine accidents in comedy, the future of machinima creators working in platforms like Garry's Mod, iClone and Unreal Engine, and whether works like this have a place beyond YouTube in archives, festivals, and cultural collections.This week's pick is a love letter to inventive machinima, creative chaos, and the enduring power of comedic timing. 01:16 – Damien introduces the film and explains why he picked it04:05 – Tracy's reaction: why this is her favourite film of the month05:00 – Cloning, delegation, bureaucracy and the film's satirical core06:30 – Garry's Mod humour, slapstick physics and six personalities from one character07:45 – Alien, Red Dwarf, Futurama and classic sci-fi influences09:26 – The ending, anti-climax as comedy, and why it works10:00 – Outstanding sound design, voice acting and comic timing12:32 – Phil's review: comparing the film to Ridiculous Ties and other animated comedy machinima13:12 – Why Michael Is Very Vintage is developing a distinctive creative voice14:20 – Hidden Easter eggs, visual gags and blink-and-you-miss-them details15:15 – The film's unique soundscape: cartoon logic, meme culture and deliberate absurdity18:30 – Recognising an auteur style in machinima filmmaking19:14 – Deep dive into the film's references, props, set dressing and visual jokes23:30 – What the Easter eggs reveal about the creator's influences and generation27:55 – Michael's rapid output and growing body of work29:24 – Behind-the-scenes videos and custom set construction in Hammer Editor29:50 – Cinematography highlights and impressive in-engine camera work30:52 – A broader question: what future exists for talented Gary's Mod filmmakers?32:20 – Can skills developed in Gary's Mod transfer to animation, virtual production and film?37:15 – Damien on iClone, animation principles and platform-specific comedy38:35 – Does Gary's Mod itself become part of the joke?39:24 – Happy accidents, bugs and creative inspiration in machinima production44:00 – From software glitches to award-winning films45:04 – Physics engines, experimentation and unexpected outcomes46:44 – Final thoughts and audience feedback invitation47:11 – Closing remarksIf you've ever wondered what would happen if the least competent person on a spaceship cloned themselves five times to avoid doing their job, this episode is for you.Credits -Speakers: Phil Rice, Damien Valentine, Tracy HarwoodProducer/Editor: Phil RiceMusic: Phil Rice & SunoAI

Rev. Jake Bennett, PhD Professor of Physics on Biblical Cosmology

Episode Highlights With ToddWhat quantum energy actually is and how Todd went from skeptic to deep understanding How this term gets misused a lot and the important things to actually understandWhat quantum entanglement is and how this can benefit us practically The 2022 Nobel Prize in Physics was awarded to Zellinger, Clauser and Aspect for proving quantum entanglement, but how it actually worksHow they do experiments at a distance on HRV and how they can see results remotely and rapidly Why quantum energy is neutralizing energy and doesn't need to add anything but neutralizes disruptive energy- and their experiments with this and neutralizing EMFs effects on the bodyQuantum upgrade vs leela quantum physical products and how they work the same and differentlyWhy Katie is running Quantum Upgrade on her podcast recording room and has the Blocs in her wellness center and homeHow they saw a 10% increase in HRV with quantum upgrade They see an increase in wound healing and ATP productionDr. Dru covered a study they did on 5G and what it does to the brain and HRV- improving alpha brain waves and reducing beta and gamma, which is measurableResources Mentioned Quantum Upgrade free trial - 15-day FREE trial, no credit card required with code WELLNESSMAMA15LeelaQHiyaHiya created a super powered chewable vitamin for kids that packs twelve organic fruits and vegetables plus fifteen essential vitamins and minerals into every dose. Try it at hiyahealth.com/wellnessmama for 50% off your first order.

Modern executive protection requires far more than a physical presence. In this episode, Fred Burton speaks with Bryan Niederhelm, Senior Vice President of Threat Assessment and Management at Gavin de Becker & Associates, about the evolving landscape of protective intelligence, threat assessment, and violence prevention. Bryan shares why the fundamentals of human behavior, preparation, and disciplined observation remain critical, even as AI and emerging technologies reshape the security conversation. The discussion also explores how protectors can avoid over-reliance on tools, build curiosity into their work, and better communicate risk to the people they protect. What you'll learn: Why modern protection depends on preparation, mindset, and understanding human behavior How AI, drones, and emerging technologies may influence protective intelligence Why curiosity and humility are essential skills for the next generation of protectors Learn more in Ontic Resources. If you're enjoying this episode, please take a minute to rate and review the show.

On this Live Greatly podcast episode, Kristel Bauer sits down with Benjamin Todd, co-founder of 80,000 Hours and author of 80,000 HOURS: How to Have a Fulfilling Career That Does Good. Kristel and Benjamin discuss why "follow your passion" may not be the best career advice, what actually contributes to meaningful and fulfilling work, and practical strategies to align your strengths, values, and goals with your career. Benjamin also shares insights on pursuing positive impact, and building a career that supports both success and well-being. Tune in now! Key Takeaways From This Episode: Why "follow your passion" can be misleading career advice The key ingredients of meaningful and fulfilling work How to align your strengths and values with your career The impact of volunteering Tips to pursue success, purpose, and well-being simultaneously How to be a multiplier ABOUT BENJAMIN TODD Ben is the founder of 80,000 Hours, a non-profit that has reached millions of people and helped 3000+ people find careers tackling the world's most pressing problems. He's the author of 80,000 Hours: How to Have a Fulfilling Career That Does Good (Penguin May 2026) and writes about how to prepare for advanced AI on Substack. Dissatisfied with the career advice he received at university, Benjamin began researching the guidance he wished he'd had. Over the next ten years, he grew 80,000 Hours from a student society in Oxford into a non-profit that today reaches 4 million people annually, has over 50 staff, and has raised $30m of funding. It has been covered in the Financial Times, Guardian, TIME, Wall Street Journal and BBC, and was one of the first non-profits to go through Y Combinator, the world's top startup accelerator. 80,000 Hours provides free online research, one-on-one advice, a job board and podcast to help people find more fulfilling and impactful careers. Over 10 million people have read their advice online and over 3,000 have switched to more impactful careers. This includes people who helped to pioneer research into AI safety at organisations like Anthropic, DeepMind, RAND and METR, have taken key roles aiming to prevent a catastrophic pandemic, and have pledged billions of dollars to high-impact charities. As CEO for the organisation's first ten years, Ben led strategy, fundraising, and senior management, building an organisation with average annual staff retention of 95%, while also writing the Career Guide, Key Ideas series and over 100 articles. His TEDx talk has been viewed over 6 million times. Before 80,000 Hours, he was the first undergraduate to intern as an analyst at Orbis Investment Advisory, a $20bn fund. He was the first non-founding member of Giving What We Can, pledging to give 10% of his income to effective charities for life. He has a 1st from Oxford in a Masters of Physics and Philosophy, has published in climate physics, and speaks Chinese, badly. Connect with Benjamin:  Order his book: https://80000hours.org/book/    Website: https://benjamintodd.org/    Linkedin: https://www.linkedin.com/in/benjamin-j-todd/    Instagram: https://www.instagram.com/benbentodd/  About the Host of the Live Greatly podcast, Kristel Bauer: Kristel Bauer is a corporate wellness and performance expert, keynote speaker and TEDx speaker supporting organizations and individuals on their journeys for more happiness and success. She is the award-winning author of Work-Life Tango: Finding Happiness, Harmony, and Peak Performance Wherever You Work (John Murray Business November 19, 2024). With Kristel's healthcare background, she provides data driven actionable strategies to leverage happiness and high-power habits to drive growth mindsets, peak performance, profitability, well-being and a culture of excellence. Kristel's keynotes provide insights to "Live Greatly" while promoting leadership development and team building. Kristel is the creator and host of her global top self-improvement podcast, Live Greatly. She is a contributing writer for Entrepreneur, and she is an influencer in the business and wellness space having been recognized as a Top 10 Social Media Influencer of 2021 in Forbes. As an Integrative Medicine Fellow & Physician Assistant having practiced clinically in Integrative Psychiatry, Kristel has a unique perspective into attaining a mindset for more happiness and success. Kristel has presented to groups from the American Gas Association, Bank of America, bp, Commercial Metals Company, General Mills, Northwestern University, Santander Bank and many more. Kristel's work has been featured in Forbes and she has had multiple TV appearances including NBC News Daily, ABC News Live, FOX Weather, ABC 7 Chicago, WGN Daytime Chicago and more. Kristel lives in the Chicago, IL area and she can be booked for speaking engagements worldwide. To Book Kristel as a speaker for your next event, click here. Website: www.livegreatly.co  Follow Kristel Bauer on: Instagram: @livegreatly_co  LinkedIn: Kristel Bauer Twitter: @livegreatly_co Facebook: @livegreatly.co Youtube: Live Greatly, Kristel Bauer To Watch Kristel Bauer's TEDx talk of Redefining Work/Life Balance in a COVID-19 World click here. Click HERE to check out Kristel's corporate wellness and leadership blog Click HERE to check out Kristel's Travel and Wellness Blog Disclaimer: The contents of this podcast are intended for informational and educational purposes only. Always seek the guidance of your physician for any recommendations specific to you or for any questions regarding your specific health, your sleep patterns changes to diet and exercise, or any medical conditions.  Always consult your physician before starting any supplements or new lifestyle programs. All information, views and statements shared on the Live Greatly podcast are purely the opinions of the authors, and are not medical advice or treatment recommendations.  They have not been evaluated by the food and drug administration.  Opinions of guests are their own and Kristel Bauer & this podcast does not endorse or accept responsibility for statements made by guests.  Neither Kristel Bauer nor this podcast takes responsibility for possible health consequences of a person or persons following the information in this educational content.  Always consult your physician for recommendations specific to you.

In this episode, industry experts Eissa Alnatter, Digital Business Development Manager - MENA, Lummus Digital; and Kapil Bakshi, Strategic Advisor, Lummus Digital, discuss the importance of combining physics-based models with AI for optimizing petrochemical operations, the challenges of data quality and strategies for successful digital transformation in the energy sector.

The Large Hadron Collider will be switched off on June 29th for a refurb. This marks the beginning of "Long Shutdown 3," a major 4-year hiatus dedicated to dismantling parts of the CERN ring to upgrade it into the much more powerful High-Luminosity LHC. Joining Sean was James Keavney, Assistant Professor in the School of Physics at UCD Image: National Geographic

In this episode of Talk Nerdy, Cara is joined by theoretical physicist, and associate professor of physics and astronomy, and core faculty in women's and gender studies at the University of New Hampshire, Dr. Chanda Prescod-Weinstein. They discuss her newest book, The Edge of Space-Time: Particles, Poetry, and the Cosmic Dream Boogie. Follow Chanda: @chanda

If you've been saying you want to buy a business for years, your next move is HERE. Get your ticket to Main Street Millionaire Live and learn how to find deals, evaluate them, finance them, and own the upside: http://info.contrarianthinking.co/msmlbig-dealAlready a business owner? Growth Boardroom is where established owners tap in to a real board of advisors to find profit levers to find hidden cash their businesses. Check it out: https://contrarianthinking.biz/bdbrThe best investors in the world aren't gambling. They're copying. They're patient. And they're finding asymmetric bets where the downside is capped and the upside is unlimited.Mohnish Pabrai is a legendary investor who turned $1 million into $14 million in five years by openly copying Warren Buffett's playbook, and now manages $1.4 billion using the exact same principles that built Berkshire Hathaway. No secret formulas. No complex algorithms. Just discipline, patience, and the willingness to look for weird things that make no sense.In this episode, you'll learn:* Why you don't need original ideas to make money and how shameless cloning beats innovation every time* The 10 bet rule: why concentrating your investments in a few great businesses outperforms diversification by 10x* Why selling too early is the biggest mistake investors make* The downside protection framework: how to structure bets where you can't lose more than 10% but could gain 100x* Why most people fail at investing because they chase what's popular instead of looking for anomalies that make no sense ___________ (00:00:00) Introduction: Never Sell Your Winners Too Early (00:00:34) The Laws of Investing: Why Buffett Wrote the Physics of Money (00:01:04) Spend Less Than You Earn: The Nonlinear Power of Compounding (00:02:02) The 168 Hour Week: Don't Quit Your Job, Build Your Side Venture (00:03:46) Entrepreneurs Don't Take Risk: The Upside Without Downside Framework (00:08:12) Selling Skills and Unique Value Propositions: The Only Two Things That Matter (00:09:58) Shameless Cloning: Why Original Ideas Are Overrated (00:15:43) The 650K Lunch: How Warren Buffett Led to a Friendship with Charlie Munger (00:18:12) From One Million to Fourteen Million in Five Years: The Buffett Approach in Action (00:23:51) If Wealth Is Lost, Nothing Is Lost: Surviving 2008 and the Character Test (00:26:08) Finding 100-Bagger Investments: The Turkish Company That Went 100X (00:27:11) When to Sell: Only When It's Egregiously Overpriced (00:29:59) Looking for Anomalies: The Mental Model for Total No-Brainers (00:31:57) The Level 3 Communications Bet: Tripling Money on Fixed Income (00:36:31) Pokemon Cards and Rembrandts: Understanding Asset Classes and Circular Competence (00:41:30) The Truth Framework: Why Lying Weakens You and Honesty Creates Strength (00:47:26) Screening CEOs: The Competitor Question That Reveals Everything (00:49:35) A Day in the Life: Managing 1.4 Billion with Four People (00:52:57) Warren's Pinball Business: The Blueprint for Finding Great Business Models (00:55:58) Ambitious But Lazy: The Filter for Two-by-Four Business Opportunities ___________ MORE FROM BIGDEAL

For centuries, the Arab and Muslim worlds led humanity in scientific discovery, establishing a culture where faith served as an inspiration rather than an obstacle to empirical research. The conversation with astrophysicist Dr. Nidhal Guessoum explores that profound intellectual legacy, from the systematization of algebra and breakthroughs in optics to the creation of the world's first dedicated astronomical observatories. Dr. Guessoum bridges the gap between this historical Golden Age and the challenges facing modern science education in the region. He addresses the perceived friction between contemporary scientific theories, such as evolution and cosmology, and religious tradition, advocating for a complementary framework that distinguishes the how of the physical world from the why of human meaning. By befriending modern science and returning it to a central place in culture, the discussion outlines a path for a qualitative new renaissance in Arab and Muslim scientific production. 0:00 Introduction 1:39 Diagnosing Science Education in the Arab World 4:07 Quantitative Growth vs Qualitative Challenges 8:41 The Importance of the Scientific Process 10:20 Reconciling Islam and Science 11:59 Understanding the Nature of Science and Religion 13:17 Inspiration from Historical Figures 15:22 Navigating Friction in Evolution and Cosmology 20:51 The Harmonization of Reason and Revelation 22:24 Distinguishing the How from the Why 23:58 The Role of the Human Subject in Science and Faith 25:58 Secular Ethics and the Islamic Intellectual Tradition 29:21 The Peak and Decline of Arab Muslim Scientific Production 30:33 Major Contributions: Algebra, Optics, and Medicine 34:55 History of Astronomical Observatories 38:38 Stagnation vs the European Scientific Revolution 45:51 Prospect of a New Arab Scientific Renaissance 49:30 Measuring Scientific Productivity 52:15 Befriending Modern Science for the Youth 57:31 Recommendations for Life-Long Learning   Nidhal Guessoum is an Algerian astrophysicist and Professor of Physics and Astronomy at the American University of Sharjah, UAE. He received his M.Sc. and Ph.D. degrees from the University of California at San Diego, and spent two years as a post-doctoral researcher at NASA's Goddard Space Flight Center. His research spans gamma-ray astrophysics, positron-electron annihilation, gamma-ray bursts, and crescent visibility and the Islamic calendar. He has published many articles and several books on science, education, and Islam, including Islam's Quantum Question (IB Tauris, 2011) and The Young Muslim's Guide to Modern Science. He has lectured at Cambridge, Oxford, Cornell, and Wisconsin-Madison, and has appeared on Al-Jazeera, BBC, NPR, France 2, and Le Monde. In 2020, he was named among the Top 100 most influential leaders in space exploration by Richtopia, and in 2018 was ranked 22nd among top Arab thought leaders by the Gottlieb Duttweiler Institute.   Connect with Nidhal Guessoum

Saludos, tripulación de Historias para ser leídas. Bienvenidos a bordo. 🚀💫 Hace tres años iniciamos una misión que quedó fragmentada en el tiempo. Hoy, he unificado las transmisiones. He recopilado todas las bitácoras pasadas para ofreceros el viaje completo, mejor calidad y sin interrupciones rumbo al corazón mismo de la gravedad. 🚀👨‍🚀 Imagina que tú eres el propietario y capitán de una gran nave espacial, con ordenadores, robots y una tripulación de cientos de personas a tus órdenes. La Sociedad Geográfica Mundial te ha asignado la misión de explorar los agujeros negros en regiones lejanas del espacio interestelar y transmitir por radio a la Tierra una descripción de sus experiencias. Tras seis años de viaje, tu nave está decelerando en la vecindad del agujero negro más próximo a la Tierra: un agujero llamado «Hades» cercano a la estrella Vega. En la video pantalla de tu nave, la tripulación y tú observáis manifestaciones de la presencia del agujero: los escasísimos átomos de gas en el espacio interestelar, aproximadamente uno por centímetro cúbico, son atraídos por la gravedad del agujero negro. Las únicas singularidades representadas en las cartas de viaje de su nave son las que están dentro de los agujeros negros, y usted se niega a pagar el precio de la muerte para explorarlas. Pero atención, capitán. El espacio es impredecible y el destino de esta tripulación no está escrito. Al final de este trayecto, la realidad se bifurcará. Os enfrentaréis a una decisión crucial en los límites del horizonte de sucesos: Tendréis que elegir entre dos transmisiones finales que se incluyen en este mismo audio. 🔴OPCION 1 🚀 ✅OPCION 2 🚀 Dos caminos. Dos desenlaces posibles. Dos destinos para un mismo misterio cósmico. Encended los motores de curvatura ¡Comenzamos el viaje! 🚀💫 Thorne comienza llevándonos a un viaje por los agujeros negros y, desde allí, nos hace seguir el descubrimiento de las nuevas concepciones, desde Einstein hasta nuestros días, en una especie de relato histórico sazonado de anécdotas vividas, a lo largo del cual vamos aprendiendo los conceptos básicos, hasta llegar al punto en que agujeros de gusano y máquinas del tiempo nos parecen posibilidades lógicas y comprensibles. Stephen Hawking calificó esta historia como «un relato fascinante», y dijo: todos cuantos aman los misterios científicos disfrutarán con él. Comenzamos el viaje....! Este relato ha sido escrito por Kip Stephen Thorne (Logan, Utah, 1940), físico teórico estadounidense, conocido por sus contribuciones prolíficas en física, astrofísica y gravitación. Gran amigo y colega de Stephen Hawking y Carl Sagan, ocupó la cátedra «Profesor Feynman» de Física Teórica en el Instituto de Tecnología de California hasta el año 2009, y es uno de los mayores expertos sobre las implicaciones astrofísicas de la teoría general de la relatividad de Einstein. Ha escrito y editado libros sobre temas de teoría de la gravedad y astrofísica de alta energía. En 1973, fue coautor del libro de texto clásico Gravitation , con Charles Misner y John Wheeler, del que la mayor parte de la actual generación de científicos han aprendido la teoría de la relatividad general. En 1994, publicó Agujeros negros y tiempo curvo: el escandaloso legado de Einstein , un libro de referencia para los no científicos por el que recibió numerosos premios y que ha sido publicado en seis idiomas. Su trabajo ha aparecido en revistas y enciclopedias, tales como Scientific American , McGraw-Hill Yearbook of Science and Technology y la Collier's Encyclopedia , entre muchos otros, y ha publicado más de 150 artículos en revistas especializadas. Ha presentado diversos programas de la PBS estadounidense (televisión pública) y la BBC inglesa sobre temas como los agujeros negros, las ondas gravitatorias, la relatividad, el viaje en el tiempo y los agujeros de gusano. La lista de premios, reconocimientos y honores recibidos es larga y variada: Science Writing Award in Physics and Astronomy del American Institute of Physics; Science Writing Award de la Phi Beta Kappa Society; Karl Schwarzschild Medal por la German Astronomical Society ; Robinson Prize in Cosmology por la Universidad de Newcastle; California Scientist of the Year Award por el California Science Center; Medalla Albert Einstein (2009) por la Sociedad de Albert Einstein (Berna, Suiza), etc. Una producción de Historias para ser Leídas, Voz: Olga Paraíso, música y efectos Epidemic Sound, gracias al artista Lotus (Licencia autorizada para este Podcast). Muchísimas gracias a los taberneros galácticos que apoyan este podcast, vamos rumbo a las estrellas,🌌🚀 ¿nos acompañas? Puedes apoyar mi trabajo desde el botón azul APOYAR por tan solo 1,99 € al mes. Credit Imagen Shutterstock Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Explore the future of space habitats, from rotating cylinders and torus colonies to orbital cities, asteroid homes, and the megastructures humanity may one day live inside.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Explore the future of space habitats, from rotating cylinders and torus colonies to orbital cities, asteroid homes, and the megastructures humanity may one day live inside.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Paul McKinnon - also known as The Balanced Runner - discusses running technique, movement efficiency, injury prevention, and why changing form requires more than drills or strength work. The Balanced Runner Links: The Balanced Runner Instagram: https://www.instagram.com/thebalancedrunner/ Matt Fox Links: Matt Instagram: https://www.instagram.com/mattinglisfox/ Matt Coaching: https://www.sweatelitecoaching.com/matt-fox/ Sweat Elite: https://www.sweatelite.co/ Supporters Club (Private Podcast Feed): https://www.sweatelite.co/supporters-club/ In this episode, Matt speaks with Paul McKinnon from The Balanced Runner about how runners can improve performance, reduce injury risk, and enjoy running more through better movement patterns. Matt begins with some skepticism around how difficult it can be for recreational runners to make meaningful form changes, while Paul explains why technique is a trainable skill when approached correctly. Paul shares how he works with everyone from beginners to elite athletes, including Ben Robinson, Isaac Doyle, Sarah Billings, Cam Wurf, Ellie Salthouse, and AFL players. He explains how he uses pattern recognition and positional analysis by eye to identify where runners are leaking energy or placing excessive load on the body. The conversation covers why drills and strength work alone are often not enough to change running technique, and why runners need to practice a specific cue every step until it becomes habit. Paul also discusses the role of physics in running, including the balance between vertical and horizontal force, and why super shoes tend to amplify the movement patterns a runner already has. Timestamps: 00:00 Meet Paul McKinnon 02:32 Elites vs amateurs 04:50 How pros find him 05:56 Success stories and referrals 08:29 Technique analysis by eye 10:18 Why form changes fail 14:23 Fixing arm swing myths 18:25 Physics of running 80 20 23:03 Why most runners leak energy 25:49 Three levers plus shoes 26:08 Shoes and vertical force 26:49 Flexibility myths in running 29:50 Strength versus movement pattern 31:09 Economy versus efficiency 32:10 Rhythm and simple cues 34:36 Top down technique coaching 37:05 Building habits over weeks 38:15 Devices versus body awareness 41:59 Super shoes as amplifiers 47:40 Personal training and wrap up

Harry Massey is a Bioenergetics Pioneer, bestselling author, award-winning filmmaker, and Quantum Wellness Visionary whose life's work was forged through one of the most unlikely paths to healing imaginable. After a catastrophic mountaineering accident left him bedridden for nearly a decade, Harry discovered firsthand what happens when every health system fails you — Western, holistic, and functional alike. Determined to survive, he turned to physics. Through his research, Harry co-founded one of the world's first R&D companies in bioenergetics and spent two decades building technology that could measure, manage, and master the human energy field. Today, Harry is the Founder & CEO of Energy4Life and the visionary behind some of the most groundbreaking bioenergetic technologies in the world — including the miHealth Device, the Bioenergetic Voice Scan, and the GEM Wearable, an AI-powered device that detects and corrects emotional energy imbalances in real time.  Beyond his work as an entrepreneur and inventor, Harry is a bestselling author and the writer, director, and producer of several documentaries, including the award-winning film The Living Matrix. His latest film is set to release Summer 2026 — a timely and powerful exploration of what it means to heal at the energetic level. In this episode, Tara and Harry Massey dive into bioenergetics, infoceuticals, and wearable tech that aim to restore "energy for life" by imprinting corrective information into the body's energy field.   RESOURCES: Learn more about Harry Massey here: https://e4l.com/ Instagram: @official.energy4life Get 10% off Peluva minimalist shoe with coupon code COACHTARA here: http://peluva.com/coachtara   CHAPTERS: 00:00 Bioenergetics, infoceuticals and Harry intro 00:51 Why Tara is open but skeptical about energy tech 03:53 Sponsor: Peluva minimalist barefoot shoes 07:00 Interview begins: What is Energy for Life? 09:17 Physics over chemistry and the body's energy control system 12:21 Vitality equation: information × voltage ÷ resistance 14:19 Trauma, ACE score and emotional energy drain 18:44 Inside the app: tongue, face, voice, labs and AI coaching 21:55 FIELD model: functional, integrative, energetic, longevity, direction 24:45 Reading tongue, face and voice for organ stress 28:18 Infoceuticals as optimal blueprints for cells and tissues 33:40 Harry's Addisons story and meeting Peter Fraser 37:43 Mapping the body field via resonance and photon exchange 40:48 Imprinting information into water with lasers and devices 42:18 Homeopathy history, water memory and modern infoceuticals 45:13 Quantum view of reality: information structuring energy 47:40 Films, books, Energy for Life and where to learn more    WORK WITH TARA: Are You Looking for Help on Your Wellness Journey? Here's how Tara can help you: TRY TARA'S APP FOR FREE: http://taragarrison.com/app INDIVIDUAL ONLINE COACHING: https://www.taragarrison.com/work-with-me CHECK OUT HIGHER RETREATS: https://www.taragarrison.com/retreats   SOCIAL MEDIA:  Instagram @coachtaragarrison TikTok @coachtaragarrison Facebook @coachtaragarrison Pinterest @coachtaragarrison   INSIDE OUT HEALTH PODCAST SPECIAL OFFERS: ☑️ Upgraded Formulas Hair Test Kit Special Offer: https://bit.ly/3YdMn4Z ☑️ Upgraded Formulas - Get 15% OFF Everything with Coupon Code INSIDEOUT15: https://upgradedformulas.com/INSIDEOUT15 ☑️ Rep Provisions: Vote for the future of food with your dollar! And enjoy a 15% discount while you're at it with Coupon Code COACHTARA: https://bit.ly/3dD4ZSv   If you loved this episode, please leave a review! Here's how to do it on Apple Podcasts: Go to Inside Out Health Podcast page: https://podcasts.apple.com/us/podcast/inside-out-health-with-coach-tara-garrison/id1468368093 Scroll down to the 'Ratings & Reviews' section. Tap 'Write a Review' (you may be prompted to log in with your Apple ID). Thank you!

What if fusion power never becomes practical? Humanity still has solar, fission, storage, beamed power, and enough known physics to build a spacefaring future.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

What if fusion power never becomes practical? Humanity still has solar, fission, storage, beamed power, and enough known physics to build a spacefaring future.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Through her multifaceted work, the Bulgarian-born, Brooklyn-based writer, reader, and researcher Maria Popova, founder of the “free, ad-free, A.I.-free, fully human” website and newsletter The Marginalian, braids together literature, science, philosophy, poetry, and art in beautiful, alchemical ways. Traversing centuries, she approaches various ideas and thinkers, living and dead, as active references in the expansive, ongoing project of learning what it means to be human. Now, nearly 20 years since the site's founding, she continues to cultivate a singular space on the internet—one devoted not so much to information but to illumination. Her latest book, Traversal, which links figures such as Mary Shelley and Walt Whitman, alongside other writers, poets, physicists, and philosophers, serves as an intellectual journey and an across-time meditation on creativity, consciousness, and interconnectedness. On this episode of Time Sensitive, Popova discusses the idea of “spiritual ancestors,” why today's A.I. debates are fundamentally modern versions of age-old questions about the soul, and the mystery of being alive. Show notes:  Maria Popova [4:58] Traversal (2026) [5:43] René Descartes [6:50] Aristotle [6:50] Susan Sontag [7:03] Alan Lightman [8:16] Mary Shelley [8:16] Walt Whitman [9:42] Frankenstein (1818) [14:08] Frances “Fanny” Wright [17:13] Freeman Dyson [17:13] Maker of Patterns: An Autobiography Through Letters (2018) [16:04] Rube Goldberg [22:26] Nina Simone [23:28] Dan Frank [23:29] Figuring (2019) [34:24] The Marginalian [43:18] T.S. Elliot's “The Love Song of J. Alfred Prufrock” (1915) [55:00] Dacher Keltner's Awe (2023) [45:17] Iris Murdoch [45:33] The Universe in Verse (2024) [45:55] Patti Smith [45:57] Rebecca Elson [45:58] Vera Rubin [47:23] “Urns for Living” [48:54] Sylvia Plath [59:35] Leaves of Grass (1855)

Where should humanity build its first Moon base: Shackleton Crater, lava tubes, lunar maria, or the far side? The Moon's future may be a network, not one base.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Where should humanity build its first Moon base: Shackleton Crater, lava tubes, lunar maria, or the far side? The Moon's future may be a network, not one base.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Nearby Supernovae: https://nebula.tv/videos/isaacarthur-nearby-supernovae-could-one-destroy-earth-and-could-we-stop-it

Why is the past different from the future? Neil deGrasse Tyson and comedian Chuck Nice explore the universe's deepest questions like why is there anything, how we know we are in the real present, if there could be a unified theory of physics and more with theoretical physicist Sean Carroll. Originally aired August 29, 2023. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here:  https://startalkmedia.com/show/physics-philosophy-with-sean-carroll/ Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In his final years, Richard Feynman's curiosity took him to some surprising places. We hear from his companions on the trips he took — and one he wasn't able to. (Part three of a three-part series originally published in 2024.)    SOURCES:  Alan Alda, actor and screenwriter. Barbara Berg, friend of Richard Feynman. Helen Czerski, physicist and oceanographer at University College London. Michelle Feynman, photographer and daughter of Richard Feynman. Cheryl Haley, friend of Richard Feynman. Debby Harlow, friend of Richard Feynman. Ralph Leighton, biographer and film producer. Charles Mann, science journalist and author. John Preskill, professor of theoretical physics at the California Institute of Technology. Lisa Randall, professor of theoretical particle physics and cosmology at Harvard University. Christopher Sykes, documentary filmmaker. Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language.   RESOURCES:  I Love My Wife..., directed by Ian Tierney (2020). Quantum Man: Richard Feynman's Life in Science, by Lawrence M. Krauss (2011). Perfectly Reasonable Deviations From the Beaten Track: Selected Letters of Richard P. Feynman, edited by Michelle Feynman (2005). The Pleasure of Finding Things Out, by Richard Feynman (1999). The Demon-Haunted World: Science as a Candle in the Dark, by Carl Sagan and Ann Druyan (1995). Genius: The Life and Science of Richard Feynman, by James Gleick (1992). The Quest for Tannu Tuva, by Christopher Sykes (1988) “What Do You Care What Other People Think?” by Richard Feynman and Ralph Leighton (1988). The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986). Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985). Fun to Imagine, BBC docuseries (1983).   EXTRAS:  “The Curious, Brilliant, Vanishing Mr. Feynman,” series by Freakonomics Radio (2024). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.