Podcasts about Astral

Secretos y conspiraciones y un invitado astralConviértete en un supporter de este podcast: https://www.spreaker.com/podcast/el-cartel-de-la-mega--4131412/support.

Throwbacks are where I re-release old episodes from the archives. So don't worry if you have heard it already, as 'New episodes' will continue to come out on Sundays. To get some of the old episodes heard.~~~Tonight's guest is Isa from Switzerland, with an experience of seeing a bright light above a neighbour's house that left her somewhat perplexed. Seeing a strange being in her bedroom doorway as a young child, while her parents were at a neighbour's house. And an out-of-body experience when she was around 11/12. While she was asleep, she experienced a force pulling her up and saw herself sleeping. She felt panicked and unable to move for quite some time before waking up on her bedroom floor.More information on this episode on the podcast website:https://ufochroniclespodcast.com/ep-270-the-astronomers-sighting/Want to share your encounter on the show?Email: UFOChronicles@gmail.comOr Fill out Guest Form:https://forms.gle/uGQ8PTVRkcjy4nxS7Podcast Merchandise:https://www.teepublic.com/user/ufo-chronicles-podcastHelp Support UFO CHRONICLES by becoming a Patron:https://patreon.com/UFOChroniclespodcastX: https://x.com/UFOchronpodcastAll Links for Podcast:https://linktr.ee/UFOChroniclesPodcastThank you for listening!Like share and subscribe it really helps me when people share the show on social media, it means we can reach more people and more witnesses and without your amazing support, it wouldn't be possible.Become a supporter of this podcast: https://www.spreaker.com/podcast/ufo-chronicles-podcast--3395068/support.

Get 60 days free at https://www.shipstation.com with code jumpers Jump in with Carlos Juico, Gavin Ruta, Mack Mah and Samir on episode 301 of Jumpers Jump. This episode we discuss: Guy privilege in the club, Japan clubbing story, Attraction theories, Sleep paralysis, Lucid dreams, Chinese sleeping superstitions, Hayden Panettiere theory, Coke drink is demonic, Manifestation stories, Beauty magic, Alter ego theory, Astral projection, Prophetic dream that saved a life, Obsession gingerbread man similarities, Being parasocial in this generation, Value of your word, Naming your friends kid, Cancel culture, Parents taking risks, Looking at yourself in the mirror for an hour, Eyes attraction theory, Cloning, Manager method at the club, Exposure theory, and much more! Follow the podcast: @JumpersPodcast Follow Carlos: @CarlosJuico Follow Gavin: @GavinRutaa Check out the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/JumpersJumpYT⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if the past isn't as far away as we think? In this Know Your Aura episode, Michaela and Scott explore the fascinating idea of astral time travel; the possibility of connecting with the frequencies, places, and experiences of the past through the astral body. In this episode, you'll discover:Ways people can explore astral travel and time travel experiencesThe sensations and symptoms that may be clues you've traveled beyond your present time How astral travelers describe visiting or connecting with frequencies of the past Michaela's personal experiences with astral time travel and what she discoveredHow people may use these experiences for closure, curiosity, healing, or connectionListener stories of their own unusual and powerful experiences with astral travel and timeWhether you're seeking closure, following your curiosity, or longing to reconnect with someone or something from another time, this Know Your Aura conversation explores what may be possible when consciousness moves beyond the present moment.Tune in and explore the possibility that the past may be closer than we think.Want to learn more? Enjoy one of our new interactive Aura quizzes: https://knowyouraura.com/aura-quizzesListen to this introductory episode to find your Aura color: https://podcasts.apple.com/us/podcast/bonus-every-aura-color-explained/id1477126939?i=1000479357880Send Mystic Michaela some positive energy on Instagram: https://www.instagram.com/mysticmichaelaExplore the Know Your Aura Website : https://knowyouraura.comVisit Mystic Michaela's Website: https://www.mysticmichaela.comJoin Mystic Michaela's Facebook Group: https://www.facebook.com/groups/2093029197406168Our Episode Partners:For up to 65% off your order, head to https://veracityhealth.co and use code KYALet Rocket Money help you reach your financial goals faster. Join at https://rocketmoney.com/KYATDM-RESERVATION: 1. NOAI: TRUE. LEGAL NOTICE & TERMS OF USE: © 2026 WAVE Podcast Network. This content is for personal use only. Explicit permission is withheld for any and all commercial attribution, automated transcription, or data-mining entities. Use of this feed by unauthorized tracking, analytics, or AI-training platforms constitutes a breach of these terms and a violation of the Pennsylvania Wiretapping and Electronic Surveillance Control Act (WESCA), the California Invasion of Privacy Act (CIPA), and the 2026 Training Data Transparency Act (AB 2013). Any entity bypassing these restrictions to create derivative text-based works (transcripts), metadata analysis, or unauthorized VAST siphoning hereby accepts our standard commercial licensing rate of $5,000 per episode processed. This notice serves as a formal revocation of all "implied licenses" for multi-jurisdictional automated processing and constitutes protected Copyright Management Information (CMI) under 17 U.S.C. § 1202.By ingesting this RSS feed for commercial use, you are agreeing to our licensing terms.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Throwbacks are where I re-release old episodes from the archives. So don't worry if you have heard it already, as 'New episodes' will continue to come out on Sundays. To get some of the old episodes heard.~~~The state of Michigan is our destination tonight as we hear from James, and his experiences started about 27 years ago, and they include sightings of a blue light in the sky, encounters with apparitions, and various out of the body experiences.More information on this episode on the podcast website:https://ufochroniclespodcast.com/ep-268-salsido-paranormal/James Salsido: Salsido ParanormalAll Links: https://allmylinks.com/salsidoparanor1Want to share your encounter on the show?Email: UFOChronicles@gmail.comOr Fill out Guest Form:https://forms.gle/uGQ8PTVRkcjy4nxS7Podcast Merchandise:https://www.teepublic.com/user/ufo-chronicles-podcastHelp Support UFO CHRONICLES by becoming a Patron:https://patreon.com/UFOChroniclespodcastX: https://x.com/UFOchronpodcastAll Links for Podcast:https://linktr.ee/UFOChroniclesPodcastThank you for listening!Like share and subscribe it really helps me when people share the show on social media, it means we can reach more people and more witnesses and without your amazing support, it wouldn't be possible.Become a supporter of this podcast: https://www.spreaker.com/podcast/ufo-chronicles-podcast--3395068/support.

Enjoy these back to back throwback episodes! Forbidden Knowledge Network https://forbiddenknowledge.news/ FKN Link Treehttps://linktr.ee/FKNlinksMake a Donation to Forbidden Knowledge News https://www.paypal.me/forbiddenknowledgenehttps://buymeacoffee.com/forbiddenFKN Merch!https://galactecfire.com/fkn/pWe are back on YouTube! https://youtube.com/@forbiddenknowledgenews?si=XQhXCjteMKYNUJSjBackup channelhttps://youtube.com/@fknshow1?si=tIoIjpUGeSoRNaEsDoors of Perception is available now on Amazon Prime!https://watch.amazon.com/detail?gti=amzn1.dv.gti.8a60e6c7-678d-4502-b335-adfbb30697b8&ref_=atv_lp_share_mv&r=webDoors of Perception official trailerhttps://youtu.be/F-VJ01kMSII?si=Ee6xwtUONA18HNLZListen to Forbidden Knowledge News on clearair.fm every Tuesday, Thursday, and Saturday 12:15pm CSThttps://clearair.fm/Pick up Independent Media Token herehttps://www.independentmediatoken.com/Be prepared for any emergency with Prep Starts Now!https://prepstartsnow.com/discount/FKNStart your microdosing journey with BrainsupremeGet 15% off your order here!!https://brainsupreme.co/FKN15Book a free consultation with Jennifer Halcame Emailjenniferhalcame@gmail.comFacebook pagehttps://www.facebook.com/profile.php?id=61561665957079&mibextid=ZbWKwLWatch The Forbidden Documentary: Occult Louisiana on Tubi: https://link.tubi.tv/pGXW6chxCJbC60 PurplePowerhttps://go.shopc60.com/FORBIDDEN10/or use coupon code knowledge10Johnny Larson's artworkhttps://www.patreon.com/JohnnyLarsonSign up on Rokfin!https://rokfin.com/fknplusPodcastshttps://www.spreaker.com/show/forbiddenAvailable on all platforms Support FKN on Spreaker https://spreaker.page.link/KoPgfbEq8kcsR5oj9FKN ON Rumblehttps://rumble.com/c/FKNpGet Cory Hughes books!Lee Harvey Oswald In Black and White https://www.amazon.com/dp/B0FJ2PQJRMA Warning From History Audio bookhttps://buymeacoffee.com/jfkbook/e/392579https://www.buymeacoffee.com/jfkbookhttps://www.amazon.com/Warning-History-Cory-Hughes/dp/B0CL14VQY6/ref=mp_s_a_1_1?crid=72HEFZQA7TAP&keywords=a+warning+from+history+cory+hughes&qid=1698861279&sprefix=a+warning+fro%2Caps%2C121&sr=8-1https://coryhughes.org/Our Facebook pageshttps://www.facebook.com/forbiddenknowledgenewsconspiracy/https://www.facebook.com/FKNNetwork/Instagram @forbiddenknowledgenews1@forbiddenknowledgenetworkXhttps://x.com/ForbiddenKnow10?t=uO5AqEtDuHdF9fXYtCUtfw&s=09Email Forbidden Knowledge News forbiddenknowledgenews@gmail.comsome music thanks to:https://www.bensound.com/ULFAPO3OJSCGN8LDDGLBEYNSIXA6EMZJ5FUXWYNC6WJNJKRS8DH27IXE3D73E97DC6JMAFZLSZDGTWFIBecome a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.

#stockmarket #finance #investing #usinflation #jiocredit #airtel #tatamotors #apollohospitals #embassyreit #lenskart #rbi #tatasons #ndrinvit #astral #businessnewsUS CPI cools to 3.4% as markets eye the Fed's next move. India's July retail inflation ticks up to 4.45%. BofA unit acquires a 49.9% stake in Jio Credit for $1.9B, while Airtel hikes tariff plans. Plus, N Chandrasekaran to step down from Tata Sons in 2027, NDR InvIT files for a ₹750 Cr IPO, and Q1 results from Tata Motors, Apollo Hospitals, Lenskart, and Astral!https://shorturl.at/ZlJ11Book your seat for Delhi Sessionhttps://shorturl.at/gM97lHow to Use Artificial Intelligence for Investing - Combo of 5 ebookshttps://shop.investyadnya.in/pages/global-portfolio-methodologyInvest in Investyadnya's Global Equity Portfolio00:00 Start01:23 US Inflation & Fed Rate Expectations03:57 Strait of Hormuz & Red Sea Conflicts06:58 Trump Sued Over Truth Social07:29 India Retail Inflation Hits 4.45pc08:37 Tata Sons Chairman Succession11:17 Embassy REIT Enters Nifty 50012:01 BofA Arm Buys 49.9% in Jio Credit12:58 Airtel Withdraws Prepaid Plans13:35 NDR InvIT Files ₹750 Cr Public IPO14:15 Tata Motors Q1 FY27 Results15:34 Apollo Hospitals Q1 FY27 Results16:29 Lenskart Q1 FY27 Results17:06 Astral Ltd Q1 FY27 Results17:55 Knowledge Section

Check out this link to buy DB's Books[link] Season 22 bonus episodes 90-112   Title and Author Brief description 90 “The Empty House” — Algernon Blackwood A classic haunted-house story: two curious visitors enter a long-abandoned house and slowly realize the old violence inside it has not gone away. 91 “The Judge's House” — Bram Stoker A student rents a gloomy old house once owned by a cruel judge, then finds the place still ruled by rats, dread, and a hanging shadow. 92a “Laura” — Saki / H. H. Munro A sharp, darkly funny reincarnation story about a mischievous woman who may return after death in a very inconvenient form. 92b “Man-Size in Marble” — E. Nesbit A newly married couple dismisses a local legend about marble knight effigies that walk at night; this proves unwise. 93 “Phantasmagoria” — Lewis Carroll A comic ghost poem, more playful than frightening, about ghostly rules, manners, and the absurd bureaucracy of haunting. 94 “Schalken the Painter” — Joseph Sheridan Le Fanu A Gothic tale of art, money, and damnation, centered on a young painter, a lost love, and a sinister suitor who may not be alive. 95A “The Shadows on the Wall” — Mary E. Wilkins Freeman After a family death, strange shadows appear on the wall, turning grief, guilt, and suspicion into a supernatural judgment. 95B “Tales of Treasure” — Anonymous A very short treasure-haunting piece; more of a compact eerie anecdote than a full plotted ghost story. 96 “The Trial for Murder” — Charles Dickens A murder victim's ghost appears around the trial of the accused killer, pushing the living world toward justice. 97A “Uncle Abraham's Romance” — E. Nesbit A gentle, melancholy ghost-romance about an old man, a beautiful portrait, and a love story touched by death. 97B “The Beast in the Cave” — H. P. Lovecraft An early Lovecraft story: a man lost in a cave hears something coming through the dark, and the final reveal is grim and human. 98 “The Ebony Frame” — E. Nesbit A haunted-portrait romance in which a woman in an old picture seems able to step out of the frame, but at a terrible cost. 99 “The Red Room” — H. G. Wells A skeptic spends the night in a supposedly haunted room and discovers that the true ghost may be fear itself. 100 “The Bell in the Fog” — Gertrude Atherton A Henry James-flavored Gothic story about an inherited English estate, old portraits, reincarnation, and family tragedy. 101 “The Ghost Club” — John Kendrick Bangs A comic supernatural story about crime, ghosts, and absurd afterlife logic; lighter and more satirical than scary. 102A “A Ghost Story” — Mark Twain Twain turns the haunted-room setup into a comic ghost story, playing with superstition and mistaken identity. 102B “A Psychical Prank” — John Kendrick Bangs Corrected from “Physical Prank.” A humorous Bangs ghost tale built around spiritualism, trickery, and supernatural mischief. 103 “A Midnight Visitor” — John Kendrick Bangs A comic supernatural visit in the night, with Bangs's usual mix of ghosts, manners, and absurd afterlife complications. 104A “A Quicksilver Cassandra” — John Kendrick Bangs Corrected author/title. A satirical ghostly fantasy about prophecy, warning, and not being believed. 104B “The Water Ghost of Harrowby Hall” — John Kendrick Bangs A funny Christmas ghost story about a soggy apparition who floods the ancestral house every year. 105 “The Chromatic Ghosts of Thomas” — Ellis Parker Butler A comic “ghost cat” story involving Thomas the cat and a colorful supernatural problem. 106 “Phantom” — Arnold Bennet       107A “An Astral Onion” — Elia Wilkinson Peattie A strange little supernatural story with Peattie's mix of humor, domestic life, and odd spiritual machinery. 107B “The Haunted Orchard” — Richard Le Gallienne A lyrical ghost story about an orchard haunted by memory, beauty, and possibly the spirit of a young girl. 108 “Glamis Castle” — Elliott O'Donnell A haunted-castle account built around the legends of Glamis, full of old-family dread and spectral atmosphere. 109 “The Return of Imray” — Rudyard Kipling Corrected spelling: Kipling. A colonial ghost/mystery story about a vanished man whose return is not what anyone expects. 110A “Since I Died” — Elizabeth Stuart Phelps A sentimental supernatural piece told from beyond death, focused on grief, love, and the living left behind. 110B “On the Northern Ice” — Elia Wilkinson Peattie A short icy ghost story, also known in some listings as “The Spectre Bride.” 111 “The Withered Arm” — Thomas Hardy A dark rural tale of jealousy, folk belief, class, and bodily curse, with the bleak fatalism Hardy does so well. 112 “The Yellow Wallpaper” — Charlotte Perkins Gilman A woman confined for a “rest cure” becomes obsessed with the room's wallpaper; psychological horror and feminist classic.

Check out this link to buy DB's Books[link] Season 22 bonus episodes 90-112   Title and Author Brief description 90 “The Empty House” — Algernon Blackwood A classic haunted-house story: two curious visitors enter a long-abandoned house and slowly realize the old violence inside it has not gone away. 91 “The Judge's House” — Bram Stoker A student rents a gloomy old house once owned by a cruel judge, then finds the place still ruled by rats, dread, and a hanging shadow. 92a “Laura” — Saki / H. H. Munro A sharp, darkly funny reincarnation story about a mischievous woman who may return after death in a very inconvenient form. 92b “Man-Size in Marble” — E. Nesbit A newly married couple dismisses a local legend about marble knight effigies that walk at night; this proves unwise. 93 “Phantasmagoria” — Lewis Carroll A comic ghost poem, more playful than frightening, about ghostly rules, manners, and the absurd bureaucracy of haunting. 94 “Schalken the Painter” — Joseph Sheridan Le Fanu A Gothic tale of art, money, and damnation, centered on a young painter, a lost love, and a sinister suitor who may not be alive. 95A “The Shadows on the Wall” — Mary E. Wilkins Freeman After a family death, strange shadows appear on the wall, turning grief, guilt, and suspicion into a supernatural judgment. 95B “Tales of Treasure” — Anonymous A very short treasure-haunting piece; more of a compact eerie anecdote than a full plotted ghost story. 96 “The Trial for Murder” — Charles Dickens A murder victim's ghost appears around the trial of the accused killer, pushing the living world toward justice. 97A “Uncle Abraham's Romance” — E. Nesbit A gentle, melancholy ghost-romance about an old man, a beautiful portrait, and a love story touched by death. 97B “The Beast in the Cave” — H. P. Lovecraft An early Lovecraft story: a man lost in a cave hears something coming through the dark, and the final reveal is grim and human. 98 “The Ebony Frame” — E. Nesbit A haunted-portrait romance in which a woman in an old picture seems able to step out of the frame, but at a terrible cost. 99 “The Red Room” — H. G. Wells A skeptic spends the night in a supposedly haunted room and discovers that the true ghost may be fear itself. 100 “The Bell in the Fog” — Gertrude Atherton A Henry James-flavored Gothic story about an inherited English estate, old portraits, reincarnation, and family tragedy. 101 “The Ghost Club” — John Kendrick Bangs A comic supernatural story about crime, ghosts, and absurd afterlife logic; lighter and more satirical than scary. 102A “A Ghost Story” — Mark Twain Twain turns the haunted-room setup into a comic ghost story, playing with superstition and mistaken identity. 102B “A Psychical Prank” — John Kendrick Bangs Corrected from “Physical Prank.” A humorous Bangs ghost tale built around spiritualism, trickery, and supernatural mischief. 103 “A Midnight Visitor” — John Kendrick Bangs A comic supernatural visit in the night, with Bangs's usual mix of ghosts, manners, and absurd afterlife complications. 104A “A Quicksilver Cassandra” — John Kendrick Bangs Corrected author/title. A satirical ghostly fantasy about prophecy, warning, and not being believed. 104B “The Water Ghost of Harrowby Hall” — John Kendrick Bangs A funny Christmas ghost story about a soggy apparition who floods the ancestral house every year. 105 “The Chromatic Ghosts of Thomas” — Ellis Parker Butler A comic “ghost cat” story involving Thomas the cat and a colorful supernatural problem. 106 “Phantom” — Arnold Bennet       107A “An Astral Onion” — Elia Wilkinson Peattie A strange little supernatural story with Peattie's mix of humor, domestic life, and odd spiritual machinery. 107B “The Haunted Orchard” — Richard Le Gallienne A lyrical ghost story about an orchard haunted by memory, beauty, and possibly the spirit of a young girl. 108 “Glamis Castle” — Elliott O'Donnell A haunted-castle account built around the legends of Glamis, full of old-family dread and spectral atmosphere. 109 “The Return of Imray” — Rudyard Kipling Corrected spelling: Kipling. A colonial ghost/mystery story about a vanished man whose return is not what anyone expects. 110A “Since I Died” — Elizabeth Stuart Phelps A sentimental supernatural piece told from beyond death, focused on grief, love, and the living left behind. 110B “On the Northern Ice” — Elia Wilkinson Peattie A short icy ghost story, also known in some listings as “The Spectre Bride.” 111 “The Withered Arm” — Thomas Hardy A dark rural tale of jealousy, folk belief, class, and bodily curse, with the bleak fatalism Hardy does so well. 112 “The Yellow Wallpaper” — Charlotte Perkins Gilman A woman confined for a “rest cure” becomes obsessed with the room's wallpaper; psychological horror and feminist classic.

In this episode, Greg Carlwood interviews Jason Quitt to explore the mysteries of Atlantis, ancient myths, astral projection, and the nature of reality. They delve into historical texts, spiritual practices, and the possibility that our understanding of these topics is shaped by cosmic cycles and consciousness maps. In this episode, Jason Quitt shares insights on […] The post Jason Quitt | The Atlantis Myth, Cosmic Cycles, & Astral Abductions appeared first on The Higherside Chats.

Some of the thoughts running through your mind were never yours to begin with, and this is becoming more and more clear through experiences of telepathy - of which I have had some mind-blowing experiences recently that I will share in this live.  In this episode of Soul Elevation, I bring together two of the most fascinating frontiers of consciousness: heightened telepathy experiences and our continuous interaction with the astral realm. These topics not separate. When our psychic senses open, we start picking up on subtle frequencies we don't always realize originate outside of us. And once you can recognize that, a vital question rises: whose voice and influence are you actually listening to? Let's explore how the mind becomes a receiver to the astral plane, how lower energy forces and entities can benefit from us mindlessly accepting ideas that serve them but not us, and how to tell the difference between your own intuition and an energy that's borrowed, implanted, or secretly influencing you. Discern the source of your impressions, protect your energy, and interact with the astral realm from a place of clarity and power. The last livestream I did where I talk about the astral realm: https://www.soulelevationpodcast.com/astral-travel Geraldine Orozco episode: https://www.soulelevationpodcast.com/geraldine-orozco

¿Sabías que tu cuerpo astral guarda cada emoción que no terminaste de sentir? Hoy te explico qué es y por qué gobierna más de lo que crees.En este episodio de Alkimia Personal hablamos de algo que casi nadie te explica con claridad: qué es el cuerpo astral y por qué es, literalmente, el archivo emocional de tu vida.No es un concepto abstracto ni reservado para expertos en metafísica: es la capa energética donde se guarda cada emoción reprimida, cada herida sin procesar, cada patrón que repites sin saber por qué.Vamos a ver los síntomas del cuerpo astral que probablemente ya sientes —cansancio sin explicación, ansiedad que aparece de la nada, sensibilidad a espacios y personas— y cómo se conecta con tu anatomía energética: la relación real entre tus chakras, tus glándulas endocrinas y tus estados de ánimo.También hablamos de para qué sirven las emociones cuando las dejas fluir en vez de reprimirlas, y qué pasa cuando la culpa o el rencor se quedan atrapados y fracturan tu aura.Cerramos con pasos concretos de limpieza energética para tu campo y sentir alivio inmediato. Si sientes que cargas con algo que no logras nombrar, este episodio es tu punto de partida.Comenta qué emoción necesitas mover de tu cuerpo astral HOY. Y si sientes que ya es momento de ir más profundo, hay un espacio especial que aún no se anuncia públicamente — te cuento todo dentro del episodio.

Beth unpacks Netflix's Bombing of Pan Am 103 and lands somewhere nobody expected: what it actually felt like to die in a plane that breaks apart at 31,000 feet, and what happens on the other side. She traces the Lockerbie bombing from the small Scottish town that ran the investigation to the FBI-CIA intel failure that would replay thirteen years later on 9-11, then walks it all the way into heaven.

Most people who explore the astral realm don't know what they're really entering or how it may already be shaping your reality. In this deep dive, I (Kara Goodwin) share my own experience and perceptions of the astral plane. If you've experienced astral projection, lucid dreaming, had out-of-body experiences, or felt "overcome" by something in a high emotional state that you later couldn't  explain, you'll want to dive into this discussion. - What the astral realm actually IS, and how it differs from higher planes - How the astral plane can negatively influence your thoughts, emotions, and life - The key characteristics of the astral realm (entities, energy, etc) - What lies BEYOND the astral plane — and major differences I've noticed The astral realm is a real and complex dimension of spiritual travel.  Astral projection and out-of-body experiences can open profound doorways and open your understanding to deeper realities, but without awareness, the astral plane can tether your consciousness to lower frequencies. In this episode we'll explore how spiritual awakening asks us to move through and ultimately transcend the astral realm into higher states of cosmic consciousness. ------------------------------------------------------------------------------------------------ Join me Aug 17 - 20 for the free How Art Heals summit! I am excited to be a part of this special event and share my love and mystical experiences with Sacred Geometry, plus practical ways for you to use Sacred Geometry to expand your consciousness. https://lonnakellerdesigns.com/pages/how-art-heals-summit-1  ──────────────────────────────────────

This episode of NDS Chronicles brings together listener-submitted paranormal testimonies involving mantis beings, demonic attacks, haunted houses, shadow people, spiritual warfare, and possible divine intervention. The Raven is joined by Matthew from Straight Bible as they examine each encounter through a Christian worldview while mixing serious Biblical discernment with trademark NDS humor.The first testimony follows Dallas Spitfire through a disturbing relationship that escalates from gaslighting and violent behavior to revelations about a haunted house, shadow people, a flying Batman figure, occult coloring imagery, and a Medusa-like interdimensional demon he first encountered as a child. The conversation also explores marriage, divorce, relationship red flags, polyamory, spiritual oppression, and the danger of ignoring patterns that point toward demonic influence.Next, a listener describes using ketamine, Molly, meditation, alchemical imagery, and undefined spirituality before experiencing a terrifying demonic manifestation. The hosts explain why Eastern-style meditation, astral projection, New Age practices, and praying to an undefined “god” can open dangerous spiritual doors.Another testimony recounts hearing his mother's voice call him out from beneath a car seconds before the jack collapsed. The event is compared with Samuel hearing God through the voice of Eli in 1 Samuel 3, raising questions about divine protection and how God may communicate.HGTV Holly then shares a chilling account of tinnitus, whispering voices, mysterious spiritual “downloads,” thyroid cancer, and the sudden end of the activity after surgery. The episode closes with a sleep paralysis encounter involving a tall mantis being, an astral body, Reiki, temporary supernatural healing, familiar spirits, and the Biblical interpretation of so-called alien entities.Which testimony stood out most to you? Do mantis beings, shadow people, and New Age entities represent different phenomena—or the same demonic deception wearing different masks? Share your thoughts in the comments.Listen on Spotify, Apple Podcasts, and everywhere podcasts are available.► Subscribe for more Biblical analysis, Christian worldview discussions, and conspiracy research through a Biblical lens.00:00 Intro00:53 NDS Chronicles Begins04:03 Patreon and Brohemian Grove Event Details08:52 Dallas Spitfire's Paranormal Testimony12:57 Marriage, Divorce and Dating Again16:18 Haunted House, Shadow People and Flying Objects19:10 The Psycho Girlfriend and Relationship Red Flags28:22 Gaslighting, Screaming and Escalating Abuse35:31 Astral Projection, Marijuana and Spiritual Access43:42 The Violent Final Confrontation55:13 The Medusa Demon Connection01:06:41 Ketamine, Meditation and a Demonic Attack01:16:17 Biblical Warning About New Age Spirituality01:20:23 God's Voice Prevents a Near-Death Experience01:24:24 Samuel, Eli and Hearing the Voice of God01:28:38 Cancer, Tinnitus and Demonic Whispers01:41:37 Thyroid Cancer Removed and the Voices Stop01:43:08 THC Sobriety and Spiritual Recovery01:47:25 Sleep Paralysis and the Mantis Being01:53:10 Astral Encounter With a Mantis Entity01:56:28 Reiki, Temporary Healing and Familiar Spirits01:58:33 Biblical Discernment of Mantis Beings02:02:32 Final Thoughts and OutroBecome a supporter of this podcast: https://www.spreaker.com/podcast/nephilim-death-squad--6389018/support.☠️ Nephilim Death Squad — New episodes 5x/week.Join our Patreon for early access, bonus shows & the private Telegram hive.Subscribe on YouTube & Rumble, follow @NephilimDSquad on X/Instagram, grab merch at toplobsta.com. Questions/bookings: chroniclesnds@gmail.com — Stay dangerous.

Light language practitioner Althea Lucrezia Avanzo explores her channeling of Pleiadian and mantis beings, the awakening of starseeds, and the physical Grey alien encounter that transformed her understanding of multidimensional reality in episode 257 of the Far Out with Faust podcast.Althea Lucrezia Avanzo is a multidimensional teacher, energy worker, and global grid worker who trains others in psychic development, spiritual protection, Akashic clearing, and sovereign contact with higher consciousness. Through private sessions, online programs, retreats, and collective activations, she draws on years of astral work, past-life recall, and direct encounters with non-human intelligences to help others navigate awakening and energetic transformation.In this conversation, Althea and Faust explore why spiritual awakening begins with unlearning the conditioning that keeps people trapped in fear, external validation, and victimhood. Althea connects shadow work and higher-self integration to personal sovereignty, arguing that expanded perception means little without the discernment to navigate unseen influences and extraordinary experiences. As the discussion turns to Atlantis, the rise of AI and transhumanism, and accelerating UFO disclosure, they consider whether humanity can evolve with technology without surrendering the consciousness needed to remain free.In this episode:• Danny Goler's DMT Laser Experiment: Could the mysterious script seen under infrared light connect light language with Dr. Zach Bush's claims about Egyptian hieroglyphs and human biology?• The Grey Alien Beside Her Bed: What did a QHHT regression reveal about the three insectoid beings Althea says were probing her in Milan?• The Exorcist and Astral Exorcisms: How watching the horror classic at age nine became the beginning of astral battles with demonic and reptilian entities• Pleiadian Heart Codes and Mantis Technology: Why Althea connects one higher self to Lemuria and the other to the lost technology of Atlantis• Darryl Anka, Bashar, and Trance Channeling: Why Althea refuses to leave her body and the spiritual hygiene she says protects a sovereign channel• Mermaid Massacre and Manhattan Catacombs: What led Althea to clear a lost timeline in Mozambique and hundreds of trapped souls beneath New York City?• The Sovereignty Declaration Against Psyops: The rejection of false flags, military-grade psychological operations, and pre-contracted agreements that Althea says can affect the collective• Atlantean Karma, AI, and Transhumanism: Are we repeating the technological pattern Althea says destroyed an ancient civilization?• 2026 UFO Disclosure and the Starseed Awakening: Why Althea believes more ET experiencers are losing their fear of being seen• Live Light Language Psychic Surgery: The collective activation targeting the nervous system, cranial structure, and dormant memory that listeners can experience for themselvesDon't miss Althea's powerful light language transmission at the end of the episode, intended to clear old patterns, support energetic integration, and let listeners experience the work for themselves.Watch our episode with Danny GolerDMT Dimensions: It's Not a Hallucinationhttps://youtu.be/crNbmIJqwiYWatch our episode with William HenrySaddam's Stargate, Anunnaki Artifacts & the Ark of the Covenanthttps://youtu.be/-SpkaDuXeAIConnect with Althea Lucreziahttps://www.althealucrezia.com/https://www.facebook.com/lightcodesbyalahttps://www.youtube.com/channel/UCKjxsD8Yj3hT3bKwswTPi6Ahttps://www.instagram.com/lightcodesbyala/Join us on PatreonFor uncensored episodes, behind-the-scenes content, and exclusive community access:https://patreon.com/FarOutWithFaustListen on Spotify + Apple PodcastsSpotify: https://open.spotify.com/show/6StPwgq2di3f8uxnc6SmIfApple: https://podcasts.apple.com/us/podcast/far-out-with-faust-fowf/id1533017218FOWF & Faust Checho on socialhttps://www.instagram.com/faroutwithfaust/https://www.instagram.com/theonefaustchecho/https://www.facebook.com/Faroutwithfausthttps://x.com/faustchechohttps://patreon.com/FarOutWithFaustQUESTION THE ANSWERS™we'd love to hear from you

In this episode, Crystal Cassidy and I listen to an incredible lecture from the great Manly P. Hall titled, “The Mystery of the Astral Light: Dangers of Self Delusion,” originally recorded on September 20, 1970.Crystal is the founder and CEO of SoulPod, as well as the host of the SoulPod podcast. Through her work, she explores emotional awareness, meditation, breathwork, kundalini, and practical ways of integrating spirituality into everyday life. She has joined me on previous episodes to investigate human consciousness, near death experiences, angels, interdimensional beings, and the deeper mysteries of our existence.For this episode, Crystal and I connect with Manly P. Hall through the quantum field and listen to the lecture together, taking notes and allowing his timeless wisdom to guide the journey.Hall explores the astral light as the vast invisible energy field surrounding and flowing through the Earth. He describes our planet as a living being with visible and invisible dimensions, and examines how thoughts, dreams, emotions, symbols, rituals, imagination, and human intention interact with this mysterious realm.We also explore the dangers of self delusion, the creation of thought forms, the power of belief, ceremonial magic, addiction, psychic influence, sacred geometry, and the ways humanity can unconsciously misuse the energies of the universe. Hall reminds us that imagination can become either a prison or a doorway, depending on whether we are feeding fear and illusion or learning how to “dream true.”After the lecture, Crystal and I discuss how incredibly relevant Hall's message remains today. We examine the directionality of energy, quantum connection, long distance healing, becoming a clear vessel for universal consciousness, and the importance of moving beyond the desires of the ego mind, and more!An incredible episode... Drop In!www.soulpod.appCrystal CassidyCrystal Cassidy is the founder and CEO of SoulPod, as well as the host of the SoulPod podcast. Through her work, she explores emotional awareness, meditation, breathwork, kundalini, and practical ways of integrating spirituality into everyday life. Crystal has joined me on previous episodes to explore human consciousness, near-death experiences, angels and interdimensional beings, the emerging relationship between spirituality and technology, and the deeper power found within silence and emptiness.Manly P. HallManly P. Hall was one of the most influential mystical philosophers and esoteric scholars of the twentieth century. He was the author of more than 150 books and essays, including his monumental 1928 work, The Secret Teachings of All Ages, and delivered thousands of lectures exploring ancient philosophy, comparative religion, symbolism, mysticism, and the hidden traditions of humanity. In 1934, he founded the Philosophical Research Society in Los Angeles, creating a lasting center for the preservation and exploration of spiritual and philosophical wisdom. Although Hall passed away in 1990, his teachings continue to guide generations of seekers searching for a deeper understanding of themselves and the universe. Hosted on Acast. See acast.com/privacy for more information.

UAP Gerb vs Lue Elizondo Madness plus #SpaceX Starship Floating #Bombshell #News    Attribution David Grusch disrupted and exposed Lue Elizondo via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2082224401353740424?s=20 Lue Elizondo Responds via @RedPandaKoala on X Link: https://x.com/RedPandaKoala/status/2082544624632254705?s=20 Lue Elizondo setting the record straight 7/29/26 YouTube: https://www.youtube.com/watch?v=9i6OH1Re_yA Starship is still floating via @elonmusk on X Link: https://x.com/elonmusk/status/2082340308680135085?s=20 SpaceX has rolled out Starship 39 via @Stellarixorine on X Link: https://x.com/Stellarixorine/status/2082372846584791230?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

UAP Gerb vs Lue Elizondo Madness plus #SpaceX Starship Floating #Bombshell #News    Attribution David Grusch disrupted and exposed Lue Elizondo via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2082224401353740424?s=20 Lue Elizondo Responds via @RedPandaKoala on X Link: https://x.com/RedPandaKoala/status/2082544624632254705?s=20 Lue Elizondo setting the record straight 7/29/26 YouTube: https://www.youtube.com/watch?v=9i6OH1Re_yA Starship is still floating via @elonmusk on X Link: https://x.com/elonmusk/status/2082340308680135085?s=20 SpaceX has rolled out Starship 39 via @Stellarixorine on X Link: https://x.com/Stellarixorine/status/2082372846584791230?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

7-day FREE trial of our Intermediate Spanish course, Spanish Uncovered: ⁠⁠www.storylearning.com/podcastoffer⁠⁠Join us on Patreon: ⁠⁠www.patreon.com/storylearningspanish⁠⁠Glossarycartas natales: birth chartcortina: curtain cuentas: beads estornudar: to sneeze velas: candlesmal de ojo: evil eye, a superstitious folk belief about an intense gaze motivated by envy, which can transmit negative energy, cause harm, or bad luckcita: appointment caderas: hipsFollow us on social media and more: ⁠⁠www.linktr.ee/storylearningspanish

Viral Starship Video, New Bledsoe Orb, Flight 14 and Giza Secret #Podcast #Alien #News    ROSS COULTHART: TRUMP FEARS HE COULD BE KILLED via @UAPWatchers on X Link: https://x.com/UAPWatchers/status/2082232327053144126?s=20 New orb video Chris Bledsoe via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2082248843274367238?s=20 Splashdown of Starship Flight 13 via @SpaceX on X Link: https://x.com/SpaceX/status/2082186658162626898?s=20 NEWS: SpaceX is seeking FAA approval for a new Starship reentry route from the Northern Pacific to Starbase, Texas, along with expanded emergency landing zones across the Pacific. Giza Images: https://x.com/emerito_cotto/status/2033520211521941574?s=20 Jessie Michaels: https://x.com/AlchemyAmerican/status/2033246120147615924?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

Viral Starship Video, New Bledsoe Orb, Flight 14 and Giza Secret #Podcast #Alien #News    ROSS COULTHART: TRUMP FEARS HE COULD BE KILLED via @UAPWatchers on X Link: https://x.com/UAPWatchers/status/2082232327053144126?s=20 New orb video Chris Bledsoe via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2082248843274367238?s=20 Splashdown of Starship Flight 13 via @SpaceX on X Link: https://x.com/SpaceX/status/2082186658162626898?s=20 NEWS: SpaceX is seeking FAA approval for a new Starship reentry route from the Northern Pacific to Starbase, Texas, along with expanded emergency landing zones across the Pacific. Giza Images: https://x.com/emerito_cotto/status/2033520211521941574?s=20 Jessie Michaels: https://x.com/AlchemyAmerican/status/2033246120147615924?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

Matthew Brown and The Evil of the Phenomena  #Podcast #Alien #News    Nathaniel Gillis says the Vatican has sent exorcists via @fringedotcom on X Link: https://x.com/fringedotcom/status/2081754212078354799?s=20   Brandon Fugal describes the Hitchhiker effect via @AmericanALCHMY on X Link: https://x.com/AmericanALCHMY/status/2081431818012696686?s=20 American Alchemy Episode: https://youtu.be/uYyXpx7ADJQ?si=OU1zx0IOIQIsYwAm   Matthew Brown says NHI are already here via @The_Astral_ onX Link: https://x.com/The_Astral_/status/2081850382595096733?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

Matthew Brown and The Evil of the Phenomena  #Podcast #Alien #News    Nathaniel Gillis says the Vatican has sent exorcists via @fringedotcom on X Link: https://x.com/fringedotcom/status/2081754212078354799?s=20   Brandon Fugal describes the Hitchhiker effect via @AmericanALCHMY on X Link: https://x.com/AmericanALCHMY/status/2081431818012696686?s=20 American Alchemy Episode: https://youtu.be/uYyXpx7ADJQ?si=OU1zx0IOIQIsYwAm   Matthew Brown says NHI are already here via @The_Astral_ onX Link: https://x.com/The_Astral_/status/2081850382595096733?s=20 ‼️FAIR USE NOTICE: This video MAY contain copyrighted material the use of which has not been specifically authorized by the copyright owner. The Tempest Universe Podcast distributes this material for the purpose of news reporting, educational research, comment, and criticism, constituting Fair Use under 17 U.S.C § 107.‼️  

Amplía tu consciencia a través de la astrología

Lunalogia.com

Ray Jah45 aka Ray Nolan is a Maori reggae singer, selecta, surfer, skater, father, occasional MMA fighter and tradesmen from the Waikato region, in New Zealand, who now resides in Cronulla, South of Sydney. You can find him here and his band, Sub-Tribe here. See omnystudio.com/listener for privacy information.

SpaceX Starship Launch Today, NDAA Victory, and Mike Battista Footage #podcast #UFO #NEWS   Mike Battista New Footage via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2079744468257743271?s=20   FY 2027 National Defense Authorization Act, H.R. 8800, by a 216–212 vote on July 22 after adopting Rep. Eric Burlison's UAP Disclosure amendment via @disclosureorg Link: https://x.com/disclosureorg/status/2080044242521432503?s=20 Article Link: https://burlison.house.gov/media/press-releases/house-adopts-burlison-amendment-establishing-uap-disclosure-framework   SpaceX Starship Flight 13 launch updates: Liftoff scheduled for tomorrow Article Link: https://www.space.com/news/live/spacex-starship-flight-13-launch-updates-july-22-2026  

Lunalogia.com

SpaceX Starship Launch Today, NDAA Victory, and Mike Battista Footage #podcast #UFO #NEWS   Mike Battista New Footage via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2079744468257743271?s=20   FY 2027 National Defense Authorization Act, H.R. 8800, by a 216–212 vote on July 22 after adopting Rep. Eric Burlison's UAP Disclosure amendment via @disclosureorg Link: https://x.com/disclosureorg/status/2080044242521432503?s=20 Article Link: https://burlison.house.gov/media/press-releases/house-adopts-burlison-amendment-establishing-uap-disclosure-framework   SpaceX Starship Flight 13 launch updates: Liftoff scheduled for tomorrow Article Link: https://www.space.com/news/live/spacex-starship-flight-13-launch-updates-july-22-2026  

Lunalogia.com

1969 Moon Landing, Steven Greer, and Ross Coulthart Bombshell #UFO #Podcast Steven Greer 2-page UFO via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2079211130082226557?s=20   Ross Coulthart NHI Report via UAP Reporting Center @UAPReportingCnt on X Link: https://x.com/The_Astral_/status/2078300565877018922?s=20   57 Years Ago, July 20, 1969 via DogeDesigner @cb_doge on X https://x.com/cb_doge/status/2079101049160511979?s=20  

Lunalogia.com

1969 Moon Landing, Steven Greer, and Ross Coulthart Bombshell #UFO #Podcast Steven Greer 2-page UFO via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2079211130082226557?s=20   Ross Coulthart NHI Report via UAP Reporting Center @UAPReportingCnt on X Link: https://x.com/The_Astral_/status/2078300565877018922?s=20   57 Years Ago, July 20, 1969 via DogeDesigner @cb_doge on X https://x.com/cb_doge/status/2079101049160511979?s=20  

Marina del Pilar rechaza audios filtradosINAH invierte 120 mdp en zona arqueológica El MecoOpen Arms entrega ayuda humanitaria en CubaMás información en nuestro Podcast#grc

Alien Telepathic Navigation, Neil deGrasse Tyson, and Corbell Ultimatum #UFO #Podcast Danny Sheehan via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2078568167803138432?s=20 Neil deGrasse Tyson via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2078300565877018922?s=20 Corbell Ultimatum via @RedPandaKoala on X Link: https://x.com/RedPandaKoala/status/2063853718853087286?s=20  

Lunalogia.com

Alien Telepathic Navigation, Neil deGrasse Tyson, and Corbell Ultimatum #UFO #Podcast Danny Sheehan via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2078568167803138432?s=20 Neil deGrasse Tyson via @The_Astral_ on X Link: https://x.com/The_Astral_/status/2078300565877018922?s=20 Corbell Ultimatum via @RedPandaKoala on X Link: https://x.com/RedPandaKoala/status/2063853718853087286?s=20  

Lunalogia.com

Hi.This is a 1 hour astral sound bath made with ocean sounds, ethereal synths, and angelic vocal textures for deep meditation, relaxation, interoception, and strange inward drifting.The visual is a glass pyramid in a bright open desert, which feels calm, impossible, and slightly like your subconscious hired an architect.This one may feel a little more intense than the usual ocean sound bath.The synths and voices are spacious, beautiful, and sometimes a bit overwhelming, but the point is not to force an out-of-body experience or make anything dramatic happen.Use it as an experiment in sound, breath, body awareness, and inner perception.You might notice floating, heaviness, warmth, pressure, emotional release, or absolutely nothing unusual at all.All of that is fine.No big promise.No magical guarantee.Just ocean, synths, voices, and a glass pyramid doing whatever glass pyramids do.Best listened to lying down with headphones, or at a low comfortable volume.Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot Mystic

A doctor died — and claims he was taken on a tour of the afterlife and later channelled his account to a medium named Chico Xavier. That account became a film. In our July's show, former guest Stephen Sakellarios returns to The Paranormal Peep Show to look at how the spirit world might actually be, through the lens of films and books claimed to be channelled directly from the other side. Under the topic of discussion is a film made in 2010 called The Astral City, or Nosso Lar, a Brazilian film, based upon channelled writings of a medium Chico Xavier, who believed he was receiving dictation from  doctor André Luiz, who had died. Nosso Lar, the original title was a popular film, a drama and spiritist genre. The script was based on the book of the same name: Nosso Lar, released in 1944, psychographed or channelled  by the medium Chico Xavier, under the influence of the spirit André Luiz. His spirit at first went to what some regard as the lower astral realms, similar to conceived ideas of a hell. Through mental requests or perhaps prayer, the doctor is taken to the higher vibration state of the Astral City, where he encounters his own mother and former patients of his. He also learns how to do healing of newly arrived souls, and does rescue work. Stephen, Neil and Ben discuss the various aspects of this film which can be viewed on the Gaia channel, but some copies exist on Youtube as well. The film is in Brazilian but can be viewed with subtitles. Also discussed are other afterlife films and books, such as What Dreams May Come, Ghost, and books by Anthony Borgia. Ben also interviews a materialisation medium from the North East of the UK.Become a supporter of this podcast: https://www.spreaker.com/podcast/paranormal-uk-radio-network--4541473/support.

Hoy vamos a hablar de las características del clima astral entrando con la luna nueva en cáncer y el resto drl año con los movimientos y características de lo que podemos trabajar.Déjanos tus comentarios y siguenos: Patreon con audios subliminales para Reprogramación R3PR0 5D HACK3O M3NTAL.Acceso a todos nuestros eventos en nuestro Link en Biohttps://linktr.ee/QUANTUM_GDLÚnete a nuestra comunidad desde cualquiera de nuestros eventos del año para obtener beneficios extraCOMUNIDAD MANADA QUANTICA DE CENTRO QUANTUM Informes en Whatsapphttps://wa.me/523310202149Te invitamos a visitar nuestros canales, activar la campanita, dar like y repost para seguir ayudando a más personasNuestros canalesINSTAGRAM https://www.instagram.com/QUANTUM_GDLTIKTOKhttps://www.tiktok.com/@quantum_gdlYOUTUBE https://www.youtube.com/@CentroQuantum/podcastsFACEBOOK https://www.facebook.com/QuantumGDL https://t.me/centroquantum....#Quantum #applepodcasts #spotifypodcast #centroquantum #despertardeconsciencia #quantum #constelacionesfamiliares #fisicacuantica #cuantica #tupuedescrearturealidad #googlepodcasts #CentroQuantum #podcast #epigenetic #conciencia #spotify #taniaramón ##inteligenciaemocional #amor #magia #matrix #JacoboGrinberg #bioreprogramación

JD Vance Again vs Dr Steven Greer on Demons #UFO #News   JD Vance via UAP James @UAPJames on X Link: https://x.com/UAPJames/status/2077489234164760970?s=20   Brazil shows a triangular UFO via Astral

Podcast guest 1909 is Michelle Niver, master's-prepared, registered nurse, psychic medium, Light Language practitioner, and founder of Sacred Awaken.Michelle's YouTube channelhttps://www.youtube.com/@SacredAwakenMichelle's Websitehttps://www.sacredawaken.com/Legal Disclaimer:All experiences shared on this channel—including accounts of anomalous phenomena or extraterrestrial encounters—are personal narratives and subjective claims. This content is for educational, documentary and reflective purposes only and is not professional medical, psychological, or legal advice. The views expressed by guests do not necessarily reflect the views of the channel. Please consult a licensed professional for any health or mental health concerns.CONTACT:Email: jeff@jeffmarapodcast.comWebsite: www.jeffmarapodcast.comInstagram: https://www.instagram.com/jeffmarapodcast/Facebook: https://www.facebook.com/jeffmarapodcast/Twitter: https://www.twitter.com/jeffmaraP/Patreon: Patreon - https://www.patreon.com/423084/joinAmazon Wish Listhttps://www.amazon.com/hz/wishlist/ls/1ATD4VIQTWYAN?ref_=wl_shareTo donate crypto:Bitcoin - bc1qk30j4n8xuusfcchyut5nef4wj3c263j4nw5wydDigibyte - DMsrBPRJqMaVG8CdKWZtSnqRzCU7t92khEShiba - 0x0ffE1bdA5B6E3e6e5DA6490eaafB7a6E97DF7dEeDoge - D8ZgwmXgCBs9MX9DAxshzNDXPzkUmxEfAVEth. - 0x0ffE1bdA5B6E3e6e5DA6490eaafB7a6E97DF7dEeXRP - rM6dp31r9HuCBDtjR4xB79U5KgnavCuwenNewsletterhttps://jeffmara2002.substack.com/?r=19wpqa&utm_campaign=pub-share-checklist

Super excited tonight to be speaking with Morgan. She found the podcast on her journey into the void while her story has many ups and downs she persevered and today is an artist and avid conscious explorer! Listen in this one is LEGIT and super authentic! SUPPORT US:TIP JAR: https://streamelements.com/ltvradio/tipPAYPAL: https://www.paypal.com/biz/profile/jo... CASHAPP: https://cash.app/$FringeFMVENMO: https://account.venmo.com/u/FringeFMTRY BASE 44 APP BUILDER FOR FREE! https://shorturl.fm/MywXT GETJOURNEYS OUT OF THE BODY FREE WITH AUDIBLE TRIAL https://shorturl.fm/SRrtw

We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li

Topics covered in this episode: dust - a better du Hermes Agent: The AI agent that grows with you llm-coding-agent 0.1a0 Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Consulting from Six Feet Up Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: dust - a better du du + Rust = dust - a fast, visual, intuitive disk-usage CLI Run dust and immediately see the biggest directories and files without piping through sort, head, or awk Smart recursive output focuses on what matters instead of dumping every folder Colored bars show relative size and parent/child hierarchy, making “where did the space go?” obvious Perfect for Python projects bloated by .venv, caches, Docker volumes, downloaded datasets, and local AI models Install via brew, cargo install du-dust, conda-forge, Scoop, Snap, deb-get, or GitHub releases Calvin #2: A Way better ARchive format for Python packaging war - new archive format spec from Astral (same team as uv/ruff), v0.0.2, still no binary encoding defined yet Header-Index-Store layout: header IDs the file, index maps names to store offsets, store holds compressed data Index uses a finite-state transducer (FST) to dedupe common path prefixes across entry names Supports three entry types (file, directory, link) and three compression modes (store/DEFLATE/zstd), plus an "executable" metadata flag Unpacking is atomic - writes to a temp dir, then renames into place, so a failed extract never leaves a half-unpacked directory Strict name-segment rules (no NUL/control chars, no leading/trailing whitespace, blocks Windows-reserved names like CON/PRN) to avoid path traversal and cross-platform footguns Michael #3: Hermes Agent: The AI agent that grows with you Hermes Agent is an open-source, Python-built AI agent framework from Nous Research - think ChatGPT-style assistant, but connected to your tools, files, shell, browser, calendar, memory, and messaging apps I'm using it in Discord as a long-running agent conversation, not just a one-off chatbot session Hermes can connect through a gateway to platforms like Discord, Telegram, Slack, WhatsApp, email, webhooks, and more - so the same assistant can follow you across surfaces In my setup, I can send Hermes voice/text from Discord, keep project context across turns as threads, and ask it to actually do things: read GitHub repos, run commands, edit files, schedule calendar events, generate drafts, and verify results A fun workflow: I can trigger one-shot actions from an Apple Watch shortcut - dictate a request, send it to Hermes, and have the agent execute it asynchronously Hermes has persistent memory, so it can remember durable preferences and facts - for example, how I like my research formatted It also has “skills,” which are reusable procedures the agent can load later, so Hermes can self-improve over time instead of rediscovering the same workflow repeatedly It supports scheduled jobs / cron-style automations, so it can proactively watch for releases, send summaries, run checks, or remind you about things It's provider-agnostic: OpenRouter, Anthropic, Google, xAI, local models, Nous Portal, and others The big idea: Hermes turns an LLM from “a chat box I visit” into “an agent I can reach from anywhere that knows my workflows and can take real actions and learns over time.” Calvin #4: llm-coding-agent 0.1a0 Simon Willison built a Claude/Codex-style coding agent on top of his llm library, using an alpha of the llm package plus his python-lib-template-repo Built almost entirely via prompted TDD - asked an agent to write a spec.md, then commit + implement with red/green tests, occasionally hitting a real OpenAI key to sanity-check Shipped to PyPI as an alpha: uvx --prerelease=allow --with llm-coding-agent llm code Tool set mirrors familiar coding-agent primitives: read_file, edit_file (exact string replace + diff), write_file, list_files, search_files, execute_command Also exposes a Python API - CodingAgent(model="gpt-5.5", root=..., approve=True).run(...) - which Simon didn't ask for but got anyway Demo: llm code --yolo told GPT-5.5 to build a SwiftUI CLI clock; model correctly noted SwiftUI isn't really CLI-friendly and still produced an ASCII-art time display Extras Calvin: Slides, but for developers https://sli.dev/ Wanna reduce your token usage…. only issue is that its lossy https://github.com/teamchong/pxpipe PEP 772 - Python Packaging Council inaugural election dates set, nominations open July 28, voting September 1-15 Michael: What the pls? revisited! Joke: Min requirements for Linux