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Torrents of living water. As the nation gathers in Jerusalem to celebrate the Feast of Tabernacles, Jesus gives new meaning to an old tradition. While some are being swept up in the unbelief of the religious leaders, others are going against the flow to put their faith in Christ. Jesus promises the Holy Spirit to those who are thirsty.BIBLE VERSE References: JOHN 7:32-53 | PROVERBS 17:14 | JOHN 3:16 | EPHESIANS 2:8-9 | GALATIANS 2:6 | MATTHEW 7:21-23 | MATTHEW 15:22-24 | COLOSSIANS 1:3-6 | LEVITICUS 23:34-36 | EXODUS 17:1-7 | PSALM 78:12-26 | ISAIAH 55:1-3 | EPHESIANS 4:11-14 |
Episodio 316.Un señor que ya vivió la vida la última vez que dijo “teníamos un pollo espectacular” fue en 1896 en el medio de la nada haciéndose un huevo frito. Yo ahora los quiero llevar a 1786 a una emergencia extrema donde pasan muchas idioteces que sorprendentemente se resolvieron con una linternita mística y, coño… velas… buena idea.
No cry of desperation ever goes unheard by God. Call on Him. #daybydaylw Interested in learning more about becoming a devoted follower of Christ? Go to follow.lifeword.org! ~~~ David had come face to face with death more times than he could count. Look at how he describes it in this passage: “Waves of death encompassed me.” “Torrents of destruction assailed me.” “Cords of Sheol entangled me.” “Snares of death confronted me.” Ever felt like that? Like you were drowning, tangled up in something too strong for you? That's where David was. But in the middle of it, he called on the Lord. And here's the beauty of it—God heard him. No matter how distant you feel, no matter how garbled your cry may seem, when you call on the Lord, your voice reaches His throne. 3 Points of Prayer Lord, thank You for hearing me when I call. Strengthen my faith in moments when I feel overwhelmed. Help me to trust that You are near, even when I can't feel it. 2 People to pray for Our Creative Access missionary in India The Kannada Lifeword broadcast for the people of India Summary Thought No cry of desperation ever goes unheard by God. Call on Him.
UK orders Apple to give it access to encrypted cloud data Google rolls back DEI efforts, including hiring goals Brits Want to Ban 'Smarter Than Human' AI Chiefs-Eagles Super Bowl 'Trades' Pit State Regulators Against Feds Google pulls incorrect Gouda stat from its AI Super Bowl ad "Torrenting from a corporate laptop doesn't feel right": Meta emails unsealed Amazon's AI revamp of Alexa assistant nears unveiling Google starts testing new Search 'AI Mode' internally – Here's an early look at it In Upholding The TikTok Ban, SCOTUS Compromises, And With It The First Amendment TikTok advises Android users in the US to sideload the app In Other SCOTUS First Amendment News, It Also Just Heard Oral Argument Over Yet Another Texas Law Censoring The Internet Teen on Musk's DOGE Team Graduated from 'The Com' CISA staffers offered deferred resignations, extending broader cybersecurity fears Elon Musk Ally Tells Staff 'AI-First' Is the Future of Key Government Agency German civil activists win victory in election case against Musk's X Trump Ends Legal Challenge Over Twitter Ban After Jan. 6 Riot Crypto-stealing apps found in Apple App Store for the first time Apple's Long-Awaited Overhaul of iPhone SE Nears Release Former iOS engineer sued by Apple issues apology as lawsuit is dismissed PS5 sales more than twice Xbox Series X/S reveals Take-Two by accident Host: Leo Laporte Guests: Daniel Rubino, Cathy Gellis, and Lisa Schmeiser Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com for This Week in Tech coda.io/twit bitwarden.com/twit expressvpn.com/twit NetSuite.com/TWIT
UK orders Apple to give it access to encrypted cloud data Google rolls back DEI efforts, including hiring goals Brits Want to Ban 'Smarter Than Human' AI Chiefs-Eagles Super Bowl 'Trades' Pit State Regulators Against Feds Google pulls incorrect Gouda stat from its AI Super Bowl ad "Torrenting from a corporate laptop doesn't feel right": Meta emails unsealed Amazon's AI revamp of Alexa assistant nears unveiling Google starts testing new Search 'AI Mode' internally – Here's an early look at it In Upholding The TikTok Ban, SCOTUS Compromises, And With It The First Amendment TikTok advises Android users in the US to sideload the app In Other SCOTUS First Amendment News, It Also Just Heard Oral Argument Over Yet Another Texas Law Censoring The Internet Teen on Musk's DOGE Team Graduated from 'The Com' CISA staffers offered deferred resignations, extending broader cybersecurity fears Elon Musk Ally Tells Staff 'AI-First' Is the Future of Key Government Agency German civil activists win victory in election case against Musk's X Trump Ends Legal Challenge Over Twitter Ban After Jan. 6 Riot Crypto-stealing apps found in Apple App Store for the first time Apple's Long-Awaited Overhaul of iPhone SE Nears Release Former iOS engineer sued by Apple issues apology as lawsuit is dismissed PS5 sales more than twice Xbox Series X/S reveals Take-Two by accident Host: Leo Laporte Guests: Daniel Rubino, Cathy Gellis, and Lisa Schmeiser Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com for This Week in Tech coda.io/twit bitwarden.com/twit expressvpn.com/twit NetSuite.com/TWIT
Derek Ting began his entrepreneurial journey in high school, founding two companies: TorrentReactor, a torrent-sharing platform, and WoolNet, a web hosting service. He later earned a degree in Computer Engineering from the University of Waterloo. In 2008, Derek launched TextNow to provide free texting, inspired by his own struggles to afford phone bills as a student. Despite early challenges Derek steadily grew TextNow into the first mobile provider offering free phone service with unlimited talk and text. Today, TextNow employs 200 people and generates $130 million in revenue, serving about 7 million users. Learn more about your ad choices. Visit megaphone.fm/adchoices
Send me a DM here (it doesn't let me respond), OR email me: imagineabetterworld2020@gmail.comToday I'm honored to introduce you all to, Australian Satanic Ritual Abuse, medical abuse, and child sexual abuse survivor, 20-year whistleblower, loving mother and devoted wife, animal lover, life-long student of criminology and justice, movie and music connoisseur, qualified hairdresser, content creator, podcaster, and someone I've been absolutely honored to call my sister and dear friend: Lisa GillardLisa entered this world into a dark legacy—a multi-generational family steeped in ritual abuse and cult practices. As the eldest child, she was thrust into a life of trauma from birth, grappling with a congenital anomaly that required multiple surgeries. Between the ages of 3 and 4, her early memories are marred by the haze of anesthesia, unsupervised solitude, and the sinister presence of her abusers—her biological father and stepfather, who met through their sinister work. Together, they orchestrated her abuse not only at home but also by trafficking her to a network of pedophiles and occult practitioners, further entrenching her in a cycle of suffering and control.At 24, married and a mother, Lisa's life took a dramatic turn when the floodgates of her repressed memories burst open. Torrents of horrifying recollections reshaped her understanding of her past, revealing a life of darkness that she had dissociated to survive. This revelation was the beginning of her piecing together the fragments of her existence, answering the silent questions that had echoed in her mind for years.Since that pivotal moment, Lisa has embarked on a profound journey of healing, advocacy, and truth-telling. She has become a beacon of hope, speaking at events, rallies, and schools, and sharing her story on international platforms. Her growth over the years has been remarkable, transforming her from a survivor to a warrior for justice.I met Lisa early in my podcasting journey, and her support, love, and encouragement have been pivotal not just for me but for countless others. Lisa's approach is one of compassion, validation, and fierce protection, offering a safe haven for other survivors. She has spent two decades not only healing herself but also empowering others, confronting naysayers and trolls with unwavering courage.Today, having Lisa share her testimony on this podcast feels like a monumental milestone. It's an opportunity for us to rally around her, to give back the love and support she has so generously offered. Her story is a testament to resilience, a narrative of healing amidst the ruins of horror, and a celebration of love that transcends the darkest of pasts. We are privileged to hear what was once silenced, blessed by her presence here today. I urge you all to set aside distractions, to listen intently, to embrace and uplift Lisa, just as she has done for so many. This is not just Lisa's story; it's a circle of healing, a testament to the power of speaking out, and a reminder of the strength found in community.CONNECT WITH LISA: IG: https://www.instagram.com/lisa_n_gillard/Facebook: https://www.facebook.com/lisa.gillard.52X: https://x.com/LisaGraceJustycTikTok: https://www.tiktok.com/@justyce_sword?lang=enCONNECT WITH EMMA:EMAIL: imagineabetterworld2020@gmail.com OR standbysurvivors@protonmail.comMy Substack: https://emmakatherine.substack.com/BUY ME A COFFEE: Support the show
Welcome to today's episode of AI Lawyer Talking Tech, where we dive into the latest trends shaping the legal industry. From the mounting pressure of tech debt and the complexities of AI integration in law firms to regulatory advancements like the Texas Responsible AI Governance Act, the legal landscape is evolving rapidly. We'll also explore how generative AI is revolutionizing legal practice, the impact of funding shifts in the legal tech sector, and the ethical challenges that accompany these innovations. Join us as we unravel these pivotal developments and their implications for legal professionals navigating a future driven by technology. “State of the US Legal Market 2025” analysis: Law firms and the challenge of tech debt14 Jan 2025Thomson Reuters InstituteLegal Tech Burn Rate Dips For 1st Time Since 201814 Jan 2025Artificial LawyerUnderstanding GenAI Response Limits: What Every Legal Professional Should Know14 Jan 2025Legaltech on Medium#0062: (CCT/ Gen Ed) GenAI in Legal: Transforming Your Practice13 Jan 2025ILTA VoicesLessons Learned from 2024 and the Year Ahead in AI Litigation13 Jan 2025Debevoise Data BlogViky Manaila: “Trust is fundamental in every aspect of our lives”13 Jan 2025Golbal Legal Tech Hub4 AI trends in professional services to watch in 202513 Jan 2025Thomson Reuters InstituteProactive Transparency in the AI-Driven Courtroom: The Dawn of Data-Centric Justice13 Jan 2025Legaltech on MediumArtificial Intelligence Implementation for Supply Chain Applications14 Jan 2025BeneschEuropean Regulators Provide Guidance on the Use of Personal Data in Artificial Intelligence14 Jan 2025Paul, WeissThe Texas Responsible AI Governance Act and Its Potential Impact on Employers13 Jan 2025K&L GatesPrivacy + Data Security Predictions for 202513 Jan 2025Morrison & FoersterOil And Gas Industry Overview: Three Key…13 Jan 2025Lathrop GPMTrend #3 – Privacy Class Actions Continue To Proliferate As Plaintiffs Search For Winning Theories13 Jan 2025Duane MorrisTechnology can close the global justice gap14 Jan 2025Law Society GazetteMeta AI Used Pirated Data from Torrents to Train Llama Model, Zuckerberg Authorized Illegal Use14 Jan 2025ITechPostIncentivizing Attorneys to Work in the ‘Legal Deserts' of Rural America13 Jan 2025McAfee & TaftUsing AI To Generate Content Can Lead To Legal Risks13 Jan 2025Media PostNavigating legal uncertainty: How the Digital Assets Bill could impact PSPs13 Jan 2025Payments AssociationAttorney General Bonta Issues Two Legal Advisories on the Application of California Law to AI13 Jan 2025Sierra Sun TimesHow Using Paralegal Outsourcing Services Sets Your Law Firm Up for Success13 Jan 2025Legal ReaderOvercoming Challenges of AI in Law Firms13 Jan 2025JD SupraZwillGen Expands into AI and Privacy Law with Strategic Acquisition13 Jan 2025JDJournalA New Era in Legal Alliances: Cohen Vaughan's Innovative Partnership Model13 Jan 2025JDJournalData Portability and Abuse of Dominance: Insights from the Turkish Competition Board's Case Law12 Jan 2025International Comparative Legal GuidesTracking Top Boutique Law Firms13 Jan 2025Above The LawBeyond the Courtroom: How AI is Revolutionising the Legal Industry from Case Predictions to Contract Analysis13 Jan 2025ReadWrite
Send us a textWe're here! The final challenge for the Crucible! One more test and they can finally go home. *listens in earpiece* what was that? They....just get to go back to the OTHER death-filled challenge game? Well that feels unfair. But we don't make the rules! Let's see if they can survive a room filled with guns, guns, and more guns! Here, on the newest episode of DUNNGEEEOOONNN RRAADDDIIOOOO HOOOOUUURRRR!!!::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::THIS SHOW IS NSFW AND NSFK (Not safe for kids. sorry kids!)Our DM is Dalton Rusher-RiddleOur Players are Andrew Gehrlein, Michael Adair & Alissa AdairTheme song by Dustin HookSound effects from Zapsplat and PixabayBackground music by Pixabay and Nerdius MaximusPlease check out our Instagram, Twitter, TikTok, AND NOW PATREON on our linktree to keep up with the latest DRH news! https://linktr.ee/dungeonradiohourBye for now~:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::Support the show
Bienvenidos a nuestro podcast de baloncesto, donde exploramos las historias que dan vida a este deporte que tanto nos apasiona.Hoy tenemos con nosotros a alguien cuya trayectoria es un ejemplo de amor por el baloncesto en todas sus facetas. Comenzó de pequeña, jugando en el colegio, y pronto vivió una experiencia que marcó su camino: la mitad de su equipo fue fichado por un club, algo que la impulsó a soñar en grande. Con el tiempo, dio el salto a un club y, en busca de más retos, siguió subiendo de nivel hasta competir en la categoría preferente.Su pasión por el baloncesto no se quedó solo en la pista. Antes de convertirse en entrenadora, fue árbitro, lo que le dio una perspectiva única del juego. En los banquillos, demostró su talento y visión, tanto que le ofrecieron un puesto como coordinadora, un papel clave en el desarrollo del baloncesto base.Ahora, aunque alejada de las canchas, sigue vinculada a este deporte que nos une. Hoy se sienta con nosotros para compartir su historia, sus aprendizajes y su visión sobre el baloncesto. ¡No os lo perdáis!Hoy, con todos nosotros, Mireia Torrents.Síguenos en las redes sociales y escríbenos con cualquier sugerencia que tengas y escúchanos en todas las plataformas https://tatxe.org/contactarAyuda a mantener el programa https://tatxe.org/colaborarEste podcast está patrocinado por anorta https://anorta.com En anorta damos soluciones reales a tus necesidades de marketing y tecnología.Support this podcast at — https://redcircle.com/la-maquina-del-cafe6559/exclusive-content
Featuring musician, composer, and director, Alex Lasalle, interdisciplinary artist, Amber Robles-Gordon, and founder and director of Semilla Cultural, Isha M. Renta López. Moderated by Torrents 2024 Scholar, Adrian Loving Torrents: New Links to Black Futures is November 14-17, 2024 in the Union Market District and The Kennedy Center. Learn more on our website: culturaldc.org/torrents The Bomba Performance featuring Amber Robles-Gordon and Isha M. Renta López is Sunday, November 17th at 1:30 PM at Songbyrd Music House in Washington, DC. RSVP here: https://www.eventbrite.com/e/torrents-dance-bomba-tickets-1038206191667?aff=oddtdtcreator
ABOUT THE NEW We are a people of love and excellence who are result-oriented, spirit-led, word-rooted, prayer-driven, and kingdom-conscious. Led by Pst. Shola Okodugha, we are on a divine assignment to equip and raise men; to release people from strongholds that have stifled them from taking their rightful places, and to give young people an avenue for their God-given gifts to find expression. OUR CREED "As sure as God helps us, We will not give up We will not cave in We will not quit We will not fail We will not die Until our job is done And victory is won" —— Partner with us to spread the influence of God all over the world. Give - https://pay.squadco.com/TheNewglobal —— BROADCAST DETAILS Minister: Pastor Shola Okodugha Date: Wednesday 27th October, 2024 Video keywords: Prayer, Testimonies Location: The New Ikeja, Grandeur Event Centre, Lagos —— Stay Connected Subscribe to the latest content: http://bit.ly/subscribethenewlive Website: http://wearethenew.org/ Instagram: https://www.instagram.com/wearethenew_global/ #wearethenew #sholaokodugha
Durant tres dies alumnes de 2n d'ESO de l'Institut Joan Ramon Benaprès, l'Institut Vinyet i l'Escola Pia han participat en una activitat per fomentar hàbits saludables. La iniciativa que ha organitzat la regidoria de Salut Pública juntament amb la de Serveis Socials i Juventut i el Centre d'Atenció Primària de Sitges ha comptat també amb la col·laboració de la farmàcia Torrents, el Mercat Municipal i Caprabo que els ha ofert als participants mostres de protecció solar, aigües i un esmorzar saludable. Hem conversat amb Eva Lacasta, tècnica de salut pública de l'Ajuntament de Sitges, Zaida Novoa, higienista bucodental del CAP de Sitges, Ferran Gonzálvez, tècnic en prevenció, de l'Associació PDS, que porta el pla local de prevenció de conductes addictives, Alba Ribas, nutricionista del CAP i amb tres de les alumnes participants, la Gal·la, l'Alba i la Sara. L'entrada Gimcana per fomentar hàbits saludables pels alumnes de 2n d’ESO ha aparegut primer a Radio Maricel.
Hace un mes, en París, pude hacerle esta breve entrevista a Jofre. Se trata de un español que lleva muchos años ya trabajando dentro de Netatmo y al que le apasiona su trabajo. De sus palabras podemos sacar algunas conclusiones de por qué caminos irán Netatmo y Omajin en los próximos meses y años.
En "¿Quién es quién?", junto a Aitor Caminero, recibimos a la agente literaria Carlota Torrents, fundadora, junto a Natàlia Berenguer, de Asterisc Agents.Escuchar audio
We try Omakub, a new opinionated Ubuntu desktop for power users and macOS expats.Sponsored By:Core Contributor Membership: Take $1 a month of your membership for a lifetime!Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices!Kolide: Kolide is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps.Support LINUX UnpluggedLinks:
Habakkuk 3:1-19 A prayer of Habakkuk the prophet.] 2 Lord, I have heard of your fame; I stand in awe of your deeds, Lord. Repeat them in our day, in our time make them known; in wrath remember mercy. 3 God came from Teman, the Holy One from Mount Paran.[b] His glory covered the heavens and his praise filled the earth. 4 His splendor was like the sunrise; rays flashed from his hand, where his power was hidden. 5 Plague went before him; pestilence followed his steps. 6 He stood, and shook the earth; he looked, and made the nations tremble. The ancient mountains crumbled and the age-old hills collapsed— but he marches on forever. 7 I saw the tents of Cushan in distress, the dwellings of Midian in anguish. 8 Were you angry with the rivers, Lord? Was your wrath against the streams? Did you rage against the sea when you rode your horses and your chariots to victory? 9 You uncovered your bow, you called for many arrows. You split the earth with rivers; 10 the mountains saw you and writhed. Torrents of water swept by; the deep roared and lifted its waves on high. 11 Sun and moon stood still in the heavens at the glint of your flying arrows, at the lightning of your flashing spear. 12 In wrath you strode through the earth and in anger you threshed the nations. 13 You came out to deliver your people, to save your anointed one. You crushed the leader of the land of wickedness, you stripped him from head to foot. 14 With his own spear you pierced his head when his warriors stormed out to scatter us, gloating as though about to devour the wretched who were in hiding. 15 You trampled the sea with your horses, churning the great waters. 16 I heard and my heart pounded, my lips quivered at the sound; decay crept into my bones, and my legs trembled. Yet I will wait patiently for the day of calamity to come on the nation invading us. 17 Though the fig tree does not bud and there are no grapes on the vines, though the olive crop fails and the fields produce no food, though there are no sheep in the pen and no cattle in the stalls, 18 yet I will rejoice in the Lord, I will be joyful in God my Savior. 19 The Sovereign Lord is my strength; he makes my feet like the feet of a deer, he enables me to tread on the heights.
Entrevista a Jordi Romeu presentant la seva darrera novel·la “Germans de guerra”. A la Biblioteca Maria Àngels Torrents i Rosés d'aquí a Sant Pere de Riudebitlles, amb la col·laboració dels nostres Jaume's, en Jaume Felipe i en Jaume Font, hem entrevistat a Jordi Romeu Carol per comentar el seu darrer llibre “Germans de guerra”. Bonica i ben narrada novel·la històrica, ens porta a les vides de tres amics quan les tropes de Napoleó entren a Vilafranca del Penedès. Durant tres anys de guerra, els tres amics fan vides separades per trobar-se de nou al final del setge a la ciutat de Tarragona. De nou junts, tornaran al seu poble de la infantesa, Sant Pere de Riudebitlles, per mirar de refer les seves vides. No serà fàcil, ja que afloraran antigues enveges i, sobre tot, hauran d'escapar del grup de caragirats que volen matar-los. Ah! I el proper dissabte 20 d'abril a les 12h, a la Plaça de l'Església, tindrem el VERMUT LITERARI on farà la seva presentació. Porteu escuradents!!! Escolteu aquesta entrevista que l'han realitzat els nostres col·laboradors, els Jaume's. Un luxe tenir un escriptor com en Jordi Romeu, i un luxe disposar dels nostres experts comentaristes. Esperem gaudiu de l'entrevista. Felicitats Jordi!!! Salut & Alegria Podeu veure el vídeo al enllaç https://youtu.be/iRd1lRI0F-w @jordiromeucarol @bibliotecamat @escolesvellescultura @ajspriudebitlles @informer_riudebitlles @Riudebitlles #onabitlles @ramonvila123 #Ramon Vila podcast recorded with enacast.com
by Mary Lindow We Are On The Cusp Of Probably One Of The Greatest Days Of The Dismantling Of Religious Behavior And Abuse In The Charismatic Church And Evangelical Church To Date. In the days ahead we're going to see many people hungering for that sacred time in worship where there is a waiting upon the Lord, and in the honoring of his name. Clearly we attract the presence of the Lord when we are focused upon “The Presence”, and not upon the performance. We shouldn't be surprised if like Jesus, we collide with torrents of political & religious and cultural expectations. So, on a daily basis, our purity of vision to move toward the Kingdom will also cause us deep discomforts that will ask us to set aside our preferences, and our convenience. This pressing towards the kingdom will ask us to say things that we'd rather not say, to go places that we'd rather not go, to give away things that we'd rather keep. And in this discomfort, each time we have an opportunity to cry out to God: “Where did you go? Why does pursuing your kingdom of abundance and peace not always feel like abundance andpeace?” I'd like to offer these possibilities to ponder. In every way, He's purifying your heart. WHAT IS THIS OBSESSION THAT IS BEGINNING TO DRIVE PEOPLE AWAY FROM RELIGIOUS ACTIVITIES AND STRUCTURAL PROGRAMMING? Is it fatigue from fleshly efforts? Is it weariness with well doing? Or! Is it the beginning of a matter? A. W. Tozer once said, "Self Is The Blurred Veil That Hides The Face Of God From Us. It Can Be Removed Only In Spiritual Experience, Never By Simple Instruction." The Lord is allowing man to have the joy and shock of coming to the end of his means of prodding and producing until he falls into a heap at the feet of the One who has the key to the place of hope and rest! He. The King of tranquility and Divine Purpose has the place of Sanctuary carved out in a definite place. THE PLACE OF WORSHIP "But the time is coming--it has, in fact, come--when what you're called will not matter and where you go to worship will not matter." "It's who you are and the way you live that count before God. Your worship must engage your spirit in the pursuit of truth. That's the kind of people the Father is out looking for: those who are simply and honestly themselves before him in their worship. God is sheer being itself--Spirit. Those who worship him must do it out of their very being, their spirits, their true selves, in adoration.” That is all from John: 23-24 APOSTOLIC ORIGINS BEGAN WITH THE DEVOTED AND YET WEARY DISCIPLES OF JESUS COMING TOGETHER IN A "PLACE" OF WAITING, RESTING AND WORSHIPING Those waiting in an upper room. Hiding from the world and its pressures and threats! Waiting. Worshiping. REMEMBERING the past things they had experienced while walking with Jesus. They were asking the heart questions of, "Why are we here? What are we waiting for? What is this all about?" My Brothers and Sisters, We are Again... ...In the same place. WE ARE SIMPLY RESTING IN THE KNOWLEDGE THAT THE LORD HAS BROUGHT US TO END OF THE OF THE PAST WAYS AND FORMS OF MAN. He is preparing the way of His Power with a place of personal introspection and heart searching until we see that we must be truthful in our worship of Him. We must come into agreement with His Spirit and the way that He desires to move among those who know Him and among those who do not. Old things are passing away. LOOK! He does a new thing! New to us, BUT Not To Him. AS WE BECOME OBSESSED WITH THE IDEA OF NOTHING TO PERFORM, nothing to take to task, nothing to self generate but only to "marinate" and saturate in, we see the promises He has made begin to be realized. We must bring a mind, which has been emptied of old prejudices, old traditional theology, human philosophy and false data. A mind so fully humble and empty that the Lord can reveal to it great, bright depths of truth and beauty, and floods of spiritual understanding that we have never dreamed of before! (Amplified Bible) "Call to Me and I will answer you, and tell you [and even show you] great and mighty things, [things which have been confined and hidden], which you do not know and understand and cannot distinguish.'-Jeremiah 33:3 The Author Francis Frangipane stated so powerfully , "We must bring hearts that are emptied of our abundant earthly attachments and sad, “holier-than-thou” sentimentalism, old friendships, old day intuitive loves. We must bring empty hands that have handed over our own works, all planning strategies and “string pulling” for self. Hands and hearts that hold onto no toys, and to no Treasure. Hands that bring no human demand or bargaining skills. Hands so empty that they can grip firmly the Sword of the Spirit, the cross, or the tool that God may put into them." God fills our nature and fills our lives in relationship to how they are emptied for Him. God knows our heart. He sees what we can't see. If we allow Him, He begins taking out all the impurities, emptying us of ourselves and filling us with Himself – so He can use us as a vessel of honor. SO OFTEN AS OF LATE, IN PLACES OF MEETING AND GATHERINGS OF HUNGRY SAINTS, THE HOLY HUSH OF HEAVEN HAS FALLEN WITH SUCH SWEETNESS AND SIMPLICITY. All the fancy trappings of "noisy worship strategy" pale compared to this heavy rich perfumed presence that descends on those who will wait upon the Lord and grow stronger. There is no need for airy or trendy teachings and thoughts. No need for the pious and well-oiled speeches implying the way to go. ( Because they say so!) Blessed are those who are willing to release all that is not THE Kingdom in them, who let their hearts be purified, for they shall see God himself—God's life being birthed in every challenge. God's kingdom coming on Earth as it is in heaven. As we wait. Humble. At His feet... ...He moves upon many within the Body to rise up and declare, to share, risk, expound and grow in the Grace of God, as well as in much Mercy. You are right in the middle of God's process for you. You don't have to settle for God's second best because of somebody else's choices or your own. As you are being who you are in Him, you can do what you are supposed to do. You may have disappointments, but your life is His story with depth, adventure, suspense, surprising plot turns, and darkness that Jesus defeated. Be blessed as you understand more of His story that He is writing in your life. 1 Peter 1:5. "...Who through faith are shielded by God's power until the coming of the salvation that is ready to be revealed in the last time." God surrounds you with His favor as a shield. You are shielded by His power, so that in every dark thing you experience, you can live large and strong. God put you on earth in your exact place for His specific purpose, and you are living in that purpose, even when you don't know it. Your soul may be grumbling and resisting, but you are living the story that God is ready to reveal to you. God is a lot bigger than you expect Him to be. He's a lot bigger than your circumstances. He is the God of detail. He is deeply involved in the small details of your life HEAVEN LONGS TO KISS THE EARTH AGAIN. The King of Heaven is descending with an unexplainable and definite wave of stillness. It is His manifested Presence. In His Presence. His Sanctuary. Is fullness. Completion. Needs met... ...And Joy. COME. LET US BE MAGNIFICENTLY WRAPPED UP IN HIM! "O God, you are my God, earnestly I seek you; My soul thirsts for you, my body longs for you, in a dry and weary land where there is no water. Thus I have seen you in the sanctuary, to see Your power and Your glory." - Psalm 63:1-2 Let's pray from Ephesians 1. I ask that the God of our Lord Jesus Christ, the glorious Father, may give you the spirit of wisdom and revelation so that you may know him better. I pray that the eyes of your heart may be enlightened in order that you may know the hope to which he has called you, the riches of his glorious inheritance in his holy people, and his incomparably great power for us who believe. That power is the same as the mighty strength he exerted when he raised Christ from the dead and seated him at his right hand in the heavenly realms, far above all rule and authority, power and dominion. And every name that is invoked not only in the present age, but also in the one to come. In the power of that name we pray. Amen. NOW I ENCOURAGE YOU NOT TO BE AFRAID WHEN THE EARTH IS SHAKING AND STRANGE AND ODD THINGS ARE TAKING PLACE! Unterstand, God is not weak. He is not deaf. He is not asleep. But, he does have an extended power in mercy because he knows that when his justice and judgment is kindled and he moves, it is sovereignty complete and there is no turning back. This is a time for us to do personal examination, and yeah, there's a lot of stuff being shaken. A lot of people have been warned, a lot of ministries have still chosen to hide things that are going to come out, because they chose not to go the way of accountability and repentance, and the Lord has to let it come to pass. He doesn't want his sheep deceived, and he certainly doesn't want them abused, but it's also happening in individual lives. If we're looking to the church and if we're looking to leaders to be our ultimate guide, then the Lord will allow us to have great disappointment and failures there. EACH OF US IS TO COME BEFORE THE FATHER! Jesus said how to pray, he taught us! He said to say, “My Father, you are in heaven, holy, holy is your name! Let your kingdom come, let your will be done, (which means in our lives and in others lives) like it is in heaven, and give us today our daily bread. You see, we look forward to everything we want now down the road instead of accepting that today is enough, it's sufficient. So I encourage you to get still, get quiet. Listen to the voice of the Holy Spirit. It says in the word whether you turn to the left or to the right there is a voice behind you saying this is the way, walk in it. (Isaiah 30:21) It may not be pleasant, may not be popular, and it certainly may not be comfortable, but it is safe and it will keep you in a place where you are determined and at peace to serve the Lord. REMEMBER, DON'T BE AFRAID. Don't listen to the frightening narratives, don't give into the sounds around you telling you to be afraid because that's the goal of the enemy. Satan comes to bring fear and steal and rob your peace and destroy your trust in the Lord, and Jesus said, "I AM come! I am! I have come that you might have life, and have it to the fullest!' That's John 10:10. And what that means is “might have life to the fullest”. We have to choose to not listen to the world's narratives, and trust me some of them sound really great! There are some great analytics out there, brillant minds. Brilliant voices, but if they don't have the God breath, breathed on them, and they are not hearing from God accurately and it is nothing more than just a bunch of propaganda, or people trying to sell stuff, you're going to get sucked into looking for answers and places that will come up empty. The voice of God is big, but sometimes it's very still and he wants us to discipline ourselves to get away from our phones get away from all the stuff, and simply bask and wait… … Until he speaks. I bless you today, and I look forward to our next podcast together. Goodbye for now. Duplication and sharing of this message is welcomed provided that complete article, Podcast link and website information for Mary Lindow is included. Thank You! Copyright © 2024 " THE MESSENGER " www.marylindow.com KINGDOM PRAYER ROOMS www.marylindow.podbean.com If you have been impressed by the Holy Spirit to assist Mary helping her to meet other administrative needs such as website, video teachings and podcast costs, or desire to bless her service with Spirit-led Love gifts or regular support: Please JOYFULLY send your gift in the form of: ► Personal Checks ► Business Checks ► Money Orders ► Cashiers Checks To: His Beloved Ministries Inc. PO Box 1253 Denver, Colorado 80614 USA Or feel free to use our send a tax-deductible gift with Pay Pal paypal.me/mlindow Under the name of - His Beloved Ministries Inc. ALL gifts are tax-deductible under His Beloved Ministries 5013c non-profit status. 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La consellera d'igualtat i feminismes, Tania Verge, va visitar ahir Sitges per fer un primer balanç de la campanya 'La meva regla, les meves regles' i participar d'una taula rodona a l'edifici Miramar en el marc dels actes del dia internacional de la dona. Prop de 140 dones ja s'han apropat a les farmàcies sitgetanes per bescanviar el codi QR personal que es pot trobar a l'app 'La meva salut' per un dels 3 productes que s'ofereixen a la campanya: unes calces menstruals, una copa menstrual o un pack de dues compreses reutilitzables. Aprofitant la visita de la consellera a la farmàcia Torrents, de l'avinguda Sofia, hem parlat amb Maria Díaz, usuaria que venia a recollir una copa menstrual, amb la farmacèutica Amèrica Carrasco i amb la pròpia consellera. L'entrada La consellera d’igualtat i feminismes, Tania Verge, visita Sitges per fer un primer balanç de la campanya ‘La meva regla, les meves regles’ ha aparegut primer a Radio Maricel.
Today's conversation is between Thomas Stanley, Ph.D., and Alex Zamalin. Thomas Stanley is an artist, author, and activist deeply committed to audio culture in the service of personal growth and social change. As performer and curator, Bushmeat Sound has been an integral part of a visionary music scene straddling the Baltimore-Washington corridor. His audio work employs musical sound to anchor, frame, and accelerate our subjective experience of history. Dr. Stanley interviews professor and author Alex Zamalin to discuss themes of his book Black Utopia: The History of an Idea from Black Nationalism to Afrofuturism. This podcast is an extension of TORRENTS: New Links to Black Futures, an artist-led program exploring new territories in Black future-building through visual arts, technology, music, film, and performance. This conversation was partly supported by The Kennedy Center's Office for Social Impact, partnership with Art in Transit, The Washington Metropolitan Area Transit Authority, and The Humanities DC's Visions Grant. Learn more about Torrents: New Links to Black Futures on our website: culturaldc.org/torrents culturaldc.org @cultural_dc Edited and mixed by Zeos Greene
In this conversation, Thomas Stanley, Ph.D., interviews spoken word recording artist Ursula Rucker. Thomas Stanley is an artist, author, and activist deeply committed to audio culture in the service of personal growth and social change. As performer and curator, Bushmeat Sound has been an integral part of a visionary music scene straddling the Baltimore-Washington corridor. His audio work employs musical sound to anchor, frame, and accelerate our subjective experience of history. Ursula Rucker is an interdisciplinary poet, performer, and recording artist whose work reflects on personal history, family, and place. She characterizes her work as situated “along the edge of the terrains of poetry.” Dr. Stanley's conversation with Ursula explores culture, world issues, and how it affects art and expression. This podcast is an extension of TORRENTS: New Links to Black Futures, an artist-led program exploring new territories in Black future-building through visual arts, technology, music, film, and performance. This conversation was partly supported by The Kennedy Center's Office for Social Impact, partnership with Art in Transit, The Washington Metropolitan Area Transit Authority, and The Humanities DC's Visions Grant. Learn more about Torrents: New Links to Black Futures on our website: culturaldc.org/torrents culturaldc.org @cultural_dc Edited and mixed by Zeos Greene
Episode 131 of Key Frames, a podcast about anime. The flickering red light turns a steady yellow, and you reel at your good fortune. The time borehole is actually stable. And they said it couldn't be done! You swiftly dial an uplink into the first satellite that returns your ping and start leeching torrents. Torrents! They weren't as popular in 2024 as they were a decade or so previous, but the temporal range of your borehole is limited, and any year before the fall represents an untold trove of data. The file names flash before your eyes like magic runes set alight: [Darwin-Arwen]_The_Apothecary_Diaries_15_[03EC69E7].mkv, [SubsDontSuck]_Migi_to_Dali_-_09_[F0DA18DD].mkv, [xX.weed.alien.Xx]16bit.Sensation.Another.Layer.02[61B6CFAD].mp4... The last one seems familiar for whatever reason, but no matter. Even if the connection only holds an hour, you're guaranteed the largest anime collection of anyone still alive in the tents! Though the last several years have been hell, absolute hell, you can feel yourself start to smile. Not just smile, you let out a laugh. You just laugh and laugh and laugh and laugh. The post 131 - Jokerfied first appeared on Key Frames.
Free, ungated access to all 300+ episodes of “It's 5:05!” on your favorite podcast platforms: https://bit.ly/505-updates. You're welcome to
Episode 826 of Bitcoin And . . . is LIVE! Topics for today: - Now We Have nostr Torrents - nostr Search is Next - Binance in Trouble . . . Again - Ocean Mining is Open For Business - Cardano Tears From Chuck #Bitcoin #BitcoinAnd $boost Articles: https://cointelegraph.com/news/binance-operates-no-license-philippines https://bitcoinmagazine.com/business/ocean-jack-dorsey-funds-bitcoin-mining-pool https://decrypt.co/207702/cardano-founder-charles-hoskinson-bitcoin-gets-complete-pass-from-sec https://cointelegraph.com/news/bis-innovation-hub-private-cbdc-project https://decrypt.co/207736/coinbase-might-forced-share-bitcoin-trading-data-cftc - https://www.cnbc.com/futures-and-commodities/ - https://www.cnbc.com/bonds/ - https://www.cnbc.com/quotes/%20.DXY - https://bitinfocharts.com/ - https://bitcoin.clarkmoody.com/dashboard/ - https://mempool.space/ - https://fountain.fm/charts https://decrypt.co/207640/where-world-hex-founder-richard-heart https://bitcoinmagazine.com/technical/lightning-is-doomed https://www.nobsbitcoin.com/dtan-xyz-nostr-torrent-archive/ https://primal.net/e/note1l4q0cckkxj2q33dk85myc8mftdp4e3vkkkx04fzf2x0mche2gxjq8yx9d5 https://www.flockstr.com/event/naddr1qqyrxwrzxe3rxve5qgsp2alytxwazryxxjv0u0pqhkp247hc9xjetn5rch8c4s6xx5cmpxcrqsqqql9nfva8zk https://nostrapp.link/#nevent1qqs0v7yqsnanyd625zc25v75k8fk4xcmqq2dedf7d88cw2chsc750hgpzpmhxue69uhkummnw3ezuamfdejsz9nhwden5te0wfjkccte9ec8y6tdv9kzumn9wsjs8pca?select=true https://primal.net/p/npub19mduaf5569jx9xz555jcx3v06mvktvtpu0zgk47n4lcpjsz43zzqhj6vzk Find me on nostr npub1vwymuey3u7mf860ndrkw3r7dz30s0srg6tqmhtjzg7umtm6rn5eq2qzugd (npub) 6389be6491e7b693e9f368ece88fcd145f07c068d2c1bbae4247b9b5ef439d32 (Hex) StackerNews: stacker.news/NunyaBidness Podcasting 2.0: fountain.fm/show/eK5XaSb3UaLRavU3lYrI Apple Podcasts: tinyurl.com/unm35bjh Instagram: instagram.com/bitcoin_and Mastodon: noagendasocial.com/@NunyaBidness Support Bitcoin And . . . on Patreon: patreon.com/BitcoinAndPodcast Find Lightning Network Channel partners here: https://t.me/+bj-7w_ePsANlOGEx (Nodestrich) https://t.me/plebnet (Plebnet) Music by: Flutey Funk Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License creativecommons.org/licenses/by/3.0/
Thank you for listening! Here are some ways to learn more and stay connected! New to faith? Click here! Learn more about Pastor Derek Neider Follow Derek on Instagram or Facebook Subscribe to email Subscribe to the daily devotional Explore recent messages! This podcast was created by Pastor Derek Neider as a ministry of Awaken Las Vegas (formerly Calvary Chapel Las Vegas) find our website. We are located at 7175 W. Oquendo Road, Las Vegas, NV 89113. Our gathering times are 9am & 11am Sundays and 6:30pm Thursdays.
The Sun Also Rises by Ernest Hemingway audiobook. The Sun Also Rises (1926) was Hemingway's first novel to be published, though there is his novella The Torrents of Spring which was published earlier in the same year. The novel describes, expressed through the voice of Jake Barnes, a short period of social life that ranges from Paris to locations in Spain. One might say that the action occurs in Pamplona, Spain with the annual festival of San Fermin and its running of bulls and subsequent days of bullfights, but one can easily argue that the real interest of the novel is in its portrayal of the group to which Barnes is a part and how he details their anxieties, frailties, hopes, and frustrations. Learn more about your ad choices. Visit megaphone.fm/adchoices
Malicious ads in a chatbot. Google provides clarification on a recent vulnerability. Cl0p switches from Tor to torrents. Influence operations as an adjunct to weapons of mass destruction. Our guest Jeffrey Wells, former Maryland cyber czar and partner at Sigma7 shares his thoughts on what the looming US government shutdown will mean for the nation's cybersecurity. Tim Eades from Cyber Mentor Fund discussing the 3 who's a cybersecurity entrepreneur needs to consider. And NSA has a new AI Security Center. For links to all of today's stories check out our CyberWire daily news briefing: https://thecyberwire.com/newsletters/daily-briefing/12/187 Selected reading. Malicious ad served inside Bing's AI chatbot (Malwarebytes) Critical Vulnerability: WebP Heap Buffer Overflow (CVE-2023-4863) (Huntress) Google gives WebP library heap buffer overflow a critical score, but NIST rates it as high-severity (SC Media) A new Chrome 0-day is sending the Internet into a new chapter of Groundhog Day (Ars Technica) Google "confirms" that exploited Chrome zero-day is actually in libwebp (CVE-2023-5129) (Help Net Security) Google quietly corrects previously submitted disclosure for critical webp 0-day (Ars Technica) CL0P Seeds ^_- Gotta Catch Em All! (Unit 42) A ransomware gang innovates, putting pressure on victims but also exposing itself (Washington Post) 2023 Department of Defense Strategy for Countering Weapons of Mass Destruction (US Department of Defense) NSA chief announces new AI Security Center, 'focal point' for AI use by government, defense industry (Breaking Defense) NSA starts AI security center with eye on China and Russia (Fortune) NSA is creating a hub for AI security, Nakasone says (Record) Learn more about your ad choices. Visit megaphone.fm/adchoices
As alluded to on the pod, LangChain has just launched LangChain Hub: “the go-to place for developers to discover new use cases and polished prompts.” It's available to everyone with a LangSmith account, no invite code necessary. Check it out!In 2023, LangChain has speedrun the race from 2:00 to 4:00 to 7:00 Silicon Valley Time. From the back to back $10m Benchmark seed and (rumored) $20-25m Sequoia Series A in April, to back to back critiques of “LangChain is Pointless” and “The Problem with LangChain” in July, to teaching with Andrew Ng and keynoting at basically every AI conference this fall (including ours), it has been an extreme rollercoaster for Harrison and his growing team creating one of the most popular (>60k stars at time of writing) building blocks for AI Engineers.LangChain's OriginsThe first commit to LangChain shows its humble origins as a light wrapper around Python's formatter.format for prompt templating. But as Harrison tells the story, even his first experience with text-davinci-002 in early 2022 was focused on chatting with data from their internal company Notion and Slack, what is now known as Retrieval Augmented Generation (RAG). As the Generative AI meetup scene came to life post Stable Diffusion, Harrison saw a need for common abstractions for what people were building with text LLMs at the time:* LLM Math, aka Riley Goodside's “You Can't Do Math” REPL-in-the-loop (PR #8)* Self-Ask With Search, Ofir Press' agent pattern (PR #9) (later ReAct, PR #24)* NatBot, Nat Friedman's browser controlling agent (PR #18)* Adapters for OpenAI, Cohere, and HuggingFaceHubAll this was built and launched in a few days from Oct 16-25, 2022. Turning research ideas/exciting usecases into software quickly and often has been in the LangChain DNA from Day 1 and likely a big driver of LangChain's success, to date amassing the largest community of AI Engineers and being the default launch framework for every big name from Nvidia to OpenAI:Dancing with GiantsBut AI Engineering is built atop of constantly moving tectonic shifts: * ChatGPT launched in November (“The Day the AGI Was Born”) and the API released in March. Before the ChatGPT API, OpenAI did not have a chat endpoint. In order to build a chatbot with history, you had to make sure to chain all messages and prompt for completion. LangChain made it easy to do that out of the box, which was a huge driver of usage. * Today, OpenAI has gone all-in on the chat API and is deprecating the old completions models, essentially baking in the chat pattern as the default way most engineers should interact with LLMs… and reducing (but not eliminating) the value of ConversationChains.* And there have been more updates since: Plugins released in API form as Functions in June (one of our top pods ever… reducing but not eliminating the value of OutputParsers) and Finetuning in August (arguably reducing some need for Retrieval and Prompt tooling). With each update, OpenAI and other frontier model labs realign the roadmaps of this nascent industry, and Harrison credits the modular design of LangChain in staying relevant. LangChain has not been merely responsive either: LangChain added Agents in November, well before they became the hottest topic of the AI Summer, and now Agents feature as one of LangChain's top two usecases. LangChain's problem for podcasters and newcomers alike is its sheer scope - it is the world's most complete AI framework, but it also has a sprawling surface area that is difficult to fully grasp or document in one sitting. This means it's time for the trademark Latent Space move (ChatGPT, GPT4, Auto-GPT, and Code Interpreter Advanced Data Analysis GPT4.5): the executive summary!What is LangChain?As Harrison explains, LangChain is an open source framework for building context-aware reasoning applications, available in Python and JS/TS.It launched in Oct 2022 with the central value proposition of “composability”, aka the idea that every AI engineer will want to switch LLMs, and combine LLMs with other things into “chains”, using a flexible interface that can be saved via a schema.Today, LangChain's principal offerings can be grouped as:* Components: isolated modules/abstractions* Model I/O* Models (for LLM/Chat/Embeddings, from OpenAI, Anthropic, Cohere, etc)* Prompts (Templates, ExampleSelectors, OutputParsers)* Retrieval (revised and reintroduced in March)* Document Loaders (eg from CSV, JSON, Markdown, PDF)* Text Splitters (15+ various strategies for chunking text to fit token limits)* Retrievers (generic interface for turning an unstructed query into a set of documents - for self-querying, contextual compression, ensembling)* Vector Stores (retrievers that search by similarity of embeddings)* Indexers (sync documents from any source into a vector store without duplication)* Memory (for long running chats, whether a simple Buffer, Knowledge Graph, Summary, or Vector Store)* Use-Cases: compositions of Components* Chains: combining a PromptTemplate, LLM Model and optional OutputParser* with Router, Sequential, and Transform Chains for advanced usecases* savable, sharable schemas that can be loaded from LangChainHub* Agents: a chain that has access to a suite of tools, of nondeterministic length because the LLM is used as a reasoning engine to determine which actions to take and in which order. Notable 100LOC explainer here.* Tools (interfaces that an agent can use to interact with the world - preset list here. Includes things like ChatGPT plugins, Google Search, WolframAlpha. Groups of tools are bundled up as toolkits)* AgentExecutor (the agent runtime, basically the while loop, with support for controls, timeouts, memory sharing, etc)* LangChain has also added a Callbacks system for instrumenting each stage of LLM, Chain, and Agent calls (which enables LangSmith, LangChain's first cloud product), and most recently an Expression Language, a declarative way to compose chains.LangChain the company incorporated in January 2023, announced their seed round in April, and launched LangSmith in July. At time of writing, the company has 93k followers, their Discord has 31k members and their weekly webinars are attended by thousands of people live.The full-featuredness of LangChain means it is often the first starting point for building any mainstream LLM use case, because they are most likely to have working guides for the new developer. Logan (our first guest!) from OpenAI has been a notable fan of both LangChain and LangSmith (they will be running the first LangChain + OpenAI workshop at AI Eng Summit). However, LangChain is not without its critics, with Aravind Srinivas, Jim Fan, Max Woolf, Mckay Wrigley and the general Reddit/HN community describing frustrations with the value of their abstractions, and many are attempting to write their own (the common experience of adding and then removing LangChain is something we covered in our Agents writeup). Harrison compares this with the timeless ORM debate on the value of abstractions.LangSmithLast month, Harrison launched LangSmith, their LLM observability tool and first cloud product. LangSmith makes it easy to monitor all the different primitives that LangChain offers (agents, chains, LLMs) as well as making it easy to share and evaluate them both through heuristics (i.e. manually written ones) and “LLM evaluating LLM” flows. The top HN comment in the “LangChain is Pointless” thread observed that orchestration is the smallest part of the work, and the bulk of it is prompt tuning and data serialization. When asked this directly our pod, Harrison agreed:“I agree that those are big pain points that get exacerbated when you have these complex chains and agents where you can't really see what's going on inside of them. And I think that's partially why we built Langsmith…” (48min mark)You can watch the full launch on the LangChain YouTube:It's clear that the target audience for LangChain is expanding to folks who are building complex, production applications rather than focusing on the simpler “Q&A your docs” use cases that made it popular in the first place. As the AI Engineer space matures, there will be more and more tools graduating from supporting “hobby” projects to more enterprise-y use cases. In this episode we run through some of the history of LangChain, how it's growing from an open source project to one of the highest valued AI startups out there, and its future. We hope you enjoy it!Show Notes* LangChain* LangChain's Berkshire Hathaway Homepage* Abstractions tweet* LangSmith* LangSmith Cookbooks repo* LangChain Retrieval blog* Evaluating CSV Question/Answering blog and YouTube* MultiOn Partner blog* Harvard Sports Analytics Collective* Evaluating RAG Webinar* awesome-langchain:* LLM Math Chain* Self-Ask* LangChain Hub UI* “LangChain is Pointless”* Harrison's links* sports - estimating player compatibility in the NBA* early interest in prompt injections* GitHub* TwitterTimestamps* [00:00:00] Introduction* [00:00:48] Harrison's background and how sports led him into ML* [00:04:54] The inspiration for creating LangChain - abstracting common patterns seen in other GPT-3 projects* [00:05:51] Overview of LangChain - a framework for building context-aware reasoning applications* [00:10:09] Components of LangChain - modules, chains, agents, etc.* [00:14:39] Underappreciated parts of LangChain - text splitters, retrieval algorithms like self-query* [00:18:46] Hiring at LangChain* [00:20:27] Designing the LangChain architecture - balancing flexibility and structure* [00:24:09] The difference between chains and agents in LangChain* [00:25:08] Prompt engineering and LangChain* [00:26:16] Announcing LangSmith* [00:30:50] Writing custom evaluators in LangSmith* [00:33:19] Reducing hallucinations - fixing retrieval vs generation issues* [00:38:17] The challenges of long context windows* [00:40:01] LangChain's multi-programming language strategy* [00:45:55] Most popular LangChain blog posts - deep dives into specific topics* [00:50:25] Responding to LangChain criticisms* [00:54:11] Harrison's advice to AI engineers* [00:55:43] Lightning RoundTranscriptAlessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai. [00:00:19]Swyx: Welcome. Today we have Harrison Chase in the studio with us. Welcome Harrison. [00:00:23]Harrison: Thank you guys for having me. I'm excited to be here. [00:00:25]Swyx: It's been a long time coming. We've been asking you for a little bit and we're really glad that you got some time to join us in the studio. Yeah. [00:00:32]Harrison: I've been dodging you guys for a while. [00:00:34]Swyx: About seven months. You pulled me in here. [00:00:37]Alessio: About seven months. But it's all good. I totally understand. [00:00:38]Swyx: We like to introduce people through the official backgrounds and then ask you a little bit about your personal side. So you went to Harvard, class of 2017. You don't list what you did in Harvard. Was it CS? [00:00:48]Harrison: Stats and CS. [00:00:50]Swyx: That's awesome. I love me some good stats. [00:00:52]Harrison: I got into it through stats, through doing sports analytics. And then there was so much overlap between stats and CS that I found myself doing more and more of that. [00:00:59]Swyx: And it's interesting that a lot of the math that you learn in stats actually comes over into machine learning which you applied at Kensho as a machine learning engineer and Robust Intelligence, which seems to be the home of a lot of AI founders.Harrison: It does. Yeah. Swyx: And you started LangChain, I think around November 2022 and incorporated in January. Yeah. [00:01:19]Harrison: I was looking it up for the podcast and the first tweet was on, I think October 24th. So just before the end of November or end of October. [00:01:26]Swyx: Yeah. So that's your LinkedIn. What should people know about you on the personal side that's not obvious on LinkedIn? [00:01:33]Harrison: A lot of how I got into this is all through sports actually. Like I'm a big sports fan, played a lot of soccer growing up and then really big fan of the NBA and NFL. And so freshman year at college showed up and I knew I liked math. I knew I liked sports. One of the clubs that was there was the Sports Analytics Collective. And so I joined that freshman year, I was doing a lot of stuff in like Excel, just like basic stats, but then like wanted to do more advanced stuff. So learn to code, learn kind of like data science and machine learning through that way. Kind of like just kept on going down that path. I think sports is a great entryway to data science and machine learning. There's a lot of like numbers out there. People like really care. Like I remember, I think sophomore, junior year, I was in the Sports Collective and the main thing we had was a blog. And so we wrote a blog. It wasn't me. One of the other people in the club wrote a blog predicting the NFL season. I think they made some kind of like with stats and I think their stats showed that like the Dolphins would end up beating the Patriots and New England got like pissed about it, of course. So people like really care and they'll give you feedback about whether you're like models doing well or poorly. And so you get that. And then you also get like instantaneous kind of like, well, not instantaneous, but really quick feedback. Like if you predict a game, the game happens that night. Like you don't have to wait a year to see what happens. So I think sports is a great kind of like entryway for kind of like data science. [00:02:43]Alessio: There was actually my first article on the Twilio blog with a Python script to like predict pricing of like Daily Fantasy players based on my past week performance. Yeah, I don't know. It's a good getaway drug. [00:02:56]Swyx: And on my end, the way I got into finance was through sports betting. So maybe we all have some ties in there. Was like Moneyball a big inspiration? The movie? [00:03:06]Harrison: Honestly, not really. I don't really like baseball. That's like the big thing. [00:03:10]Swyx: Let's call it a lot of stats. Cool. Well, we can dive right into LangChain, which is what everyone is excited about. But feel free to make all the sports analogies you want. That really drives home a lot of points. What was your GPT aha moment? When did you start working on GPT itself? Maybe not LangChain, just anything to do with the GPT API? [00:03:29]Harrison: I think it probably started around the time we had a company hackathon. I think that was before I launched LangChain. I'm trying to remember the exact sequence of events, but I do remember that at the hackathon I worked with Will, who's now actually at LangChain as well, and then two other members of Robust. And we made basically a bot where you could ask questions of Notion and Slack. And so I think, yeah, RAG, basically. And I think I wanted to try that out because I'd heard that it was getting good. I'm trying to remember if I did anything before that to realize that it was good. So then I would focus on that on the hackathon. I can't remember or not, but that was one of the first times that I built something [00:04:06]Swyx: with GPT-3. There wasn't that much opportunity before because the API access wasn't that widespread. You had to get into some kind of program to get that. [00:04:16]Harrison: DaVinci-002 was not terrible, but they did an upgrade to get it to there, and they didn't really publicize that as much. And so I think I remember playing around with it when the first DaVinci model came out. I was like, this is cool, but it's not amazing. You'd have to do a lot of work to get it to do something. But then I think that February or something, I think of 2022, they upgraded it and it was it got better, but I think they made less of an announcement around it. And so I just, yeah, it kind of slipped under the radar for me, at least. [00:04:45]Alessio: And what was the step into LangChain? So you did the hackathon, and then as you were building the kind of RAG product, you felt like the developer experience wasn't that great? Or what was the inspiration? [00:04:54]Harrison: No, honestly, so around that time, I knew I was going to leave my previous job. I was trying to figure out what I was going to do next. I went to a bunch of meetups and other events. This was like the September, August, September of that year. So after Stable Diffusion, but before ChatGPT. So there was interest in generative AI as a space, but not a lot of people hacking on language models yet. But there were definitely some. And so I would go to these meetups and just chat with people and basically saw some common abstractions in terms of what they were building, and then thought it would be a cool side project to factor out some of those common abstractions. And that became kind of like LangChain. I looked up again before this, because I remember I did a tweet thread on Twitter to announce LangChain. And we can talk about what LangChain is. It's a series of components. And then there's some end-to-end modules. And there was three end-to-end modules that were in the initial release. One was NatBot. So this was the web agent by Nat Friedman. Another was LLM Math Chain. So it would construct- [00:05:51]Swyx: GPT-3 cannot do math. [00:05:53]Harrison: Yeah, exactly. And then the third was Self-Ask. So some type of RAG search, similar to React style agent. So those were some of the patterns in terms of what I was seeing. And those all came from open source or academic examples, because the people who were actually working on this were building startups. And they were doing things like question answering over your databases, question answering over SQL, things like that. But I couldn't use their code as kind of like inspiration to factor things out. [00:06:18]Swyx: I talked to you a little bit, actually, roundabout, right after you announced LangChain. I'm honored. I think I'm one of many. This is your first open source project. [00:06:26]Harrison: No, that's not actually true. I released, because I like sports stats. And so I remember I did release some really small, random Python package for scraping data from basketball reference or something. I'm pretty sure I released that. So first project to get a star on GitHub, let's say that. [00:06:45]Swyx: Did you reference anything? What was the inspirations, like other frameworks that you look to when open sourcing LangChain or announcing it or anything like that? [00:06:53]Harrison: I mean, the only main thing that I looked for... I remember reading a Hacker News post a little bit before about how a readme on the project goes a long way. [00:07:02]Swyx: Readme's help. [00:07:03]Harrison: Yeah. And so I looked at it and was like, put some status checks at the top and have the title and then one or two lines and then just right into installation. And so that's the main thing that I looked at in terms of how to structure it. Because yeah, I hadn't done open source before. I didn't really know how to communicate that aspect of the marketing or getting people to use it. I think I had some trouble finding it, but I finally found it and used that as a lot [00:07:25]Swyx: of the inspiration there. Yeah. It was one of the subjects of my write-up how it was surprising to me that significant open source experience actually didn't seem to matter in the new wave of AI tooling. Most like auto-GPTs, Torrents, that was his first open source project ever. And that became auto-GPT. Yeah. I don't know. To me, it's just interesting how open source experience is kind of fungible or not necessary. Or you can kind of learn it on the job. [00:07:49]Alessio: Overvalued. [00:07:50]Swyx: Overvalued. Okay. You said it, not me. [00:07:53]Alessio: What's your description of LangChain today? I think when I built the LangChain Hub UI in January, there were a few things. And I think you were one of the first people to talk about agents that were already in there before it got hot now. And it's obviously evolved into a much bigger framework today. Run people through what LangChain is today, how they should think about it, and all of that. [00:08:14]Harrison: The way that we describe it or think about it internally is that LangChain is basically... I started off saying LangChain's a framework for building LLM applications, but that's really vague and not really specific. And I think part of the issue is LangChain does do a lot, so it's hard to be somewhat specific. But I think the way that we think about it internally, in terms of prioritization, what to focus on, is basically LangChain's a framework for building context-aware reasoning applications. And so that's a bit of a mouthful, but I think that speaks to a lot of the core parts of what's in LangChain. And so what concretely that means in LangChain, there's really two things. One is a set of components and modules. And these would be the prompt template abstraction, the LLM abstraction, chat model abstraction, vector store abstraction, text splitters, document loaders. And so these are combinations of things that we build and we implement, or we just have integrations with. So we don't have any language models ourselves. We don't have any vector stores ourselves, but we integrate with a lot of them. And then the text splitters, we have our own logic for that. The document loaders, we have our own logic for that. And so those are the individual modules. But then I think another big part of LangChain, and probably the part that got people using it the most, is the end-to-end chains or applications. So we have a lot of chains for getting started with question answering over your documents, chat question answering, question answering over SQL databases, agent stuff that you can plug in off the box. And that basically combines these components in a series of specific ways to do this. So if you think about a question answering app, you need a lot of different components kind of stacked. And there's a bunch of different ways to do question answering apps. So this is a bit of an overgeneralization, but basically, you know, you have some component that looks up an embedding from a vector store, and then you put that into the prompt template with the question and the context, and maybe you have the chat history as well. And then that generates an answer, and then maybe you parse that out, or you do something with the answer there. And so there's just this sequence of things that you basically stack in a particular way. And so we just provide a bunch of those assembled chains off the shelf to make it really easy to get started in a few lines of code. [00:10:09]Alessio: And just to give people context, when you first released LangChain, OpenAI did not have a chat API. It was a completion-only API. So you had to do all the human assistant, like prompting and whatnot. So you abstracted a lot of that away. I think the most interesting thing to me is you're kind of the Switzerland of this developer land. There's a bunch of vector databases that are killing each other out there to get people to embed data in them, and you're like, I love you all. You all are great. How do you think about being an opinionated framework versus leaving a lot of choice to the user? I mean, in terms of spending time into this integration, it's like you only have 10 people on the team. Obviously that takes time. Yeah. What's that process like for you all? [00:10:50]Harrison: I think right off the bat, having different options for language models. I mean, language models is the main one that right off the bat we knew we wanted to support a bunch of different options for. There's a lot to discuss there. People want optionality between different language models. They want to try it out. They want to maybe change to ones that are cheaper as new ones kind of emerge. They don't want to get stuck into one particular one if a better one comes out. There's some challenges there as well. Prompts don't really transfer. And so there's a lot of nuance there. But from the bat, having this optionality between the language model providers was a big important part because I think that was just something we felt really strongly about. We believe there's not just going to be one model that rules them all. There's going to be a bunch of different models that are good for a bunch of different use cases. I did not anticipate the number of vector stores that would emerge. I don't know how many we supported in the initial release. It probably wasn't as big of a focus as language models was. But I think it kind of quickly became so, especially when Postgres and Elastic and Redis started building their vector store implementations. We saw that some people might not want to use a dedicated vector store. Maybe they want to use traditional databases. I think to your point around what we're opinionated about, I think the thing that we believe most strongly is it's super early in the space and super fast moving. And so there's a lot of uncertainty about how things will shake out in terms of what role will vector databases play? How many will there be? And so I think a lot of it has always kind of been this optionality and ability to switch and not getting locked in. [00:12:19]Swyx: There's other pieces of LangChain which maybe don't get as much attention sometimes. And the way that you explained LangChain is somewhat different from the docs. I don't know how to square this. So for example, you have at the top level in your docs, you have, we mentioned ModelIO, we mentioned Retrieval, we mentioned Chains. Then you have a concept called Agents, which I don't know if exactly matches what other people call Agents. And we also talked about Memory. And then finally there's Callbacks. Are there any of the less understood concepts in LangChain that you want to give some air to? [00:12:53]Harrison: I mean, I think buried in ModelIO is some stuff around like few-shot example selectors that I think is really powerful. That's a workhorse. [00:13:01]Swyx: Yeah. I think that's where I start with LangChain. [00:13:04]Harrison: It's one of those things that you probably don't, if you're building an application, you probably don't start with it. You probably start with like a zero-shot prompt. But I think that's a really powerful one that's probably just talked about less because you don't need it right off the bat. And for those of you who don't know, that basically selects from a bunch of examples the ones that are maybe most relevant to the input at hand. So you can do some nice kind of like in-context learning there. I think that's, we've had that for a while. I don't think enough people use that, basically. Output parsers also used to be kind of important, but then function calling. There's this interesting thing where like the space is just like progressing so rapidly that a lot of things that were really important have kind of diminished a bit, to be honest. Output parsers definitely used to be an understated and underappreciated part. And I think if you're working with non-OpenAI models, they still are, but a lot of people are working with OpenAI models. But even within there, there's different things you can do with kind of like the function calling ability. Sometimes you want to have the option of having the text or the application you're building, it could return either. Sometimes you know that it wants to return in a structured format, and so you just want to take that structured format. Other times you're extracting things that are maybe a key in that structured format, and so you want to like pluck that key. And so there's just like some like annoying kind of like parsing of that to do. Agents, memory, and retrieval, we haven't talked at all. Retrieval, there's like five different subcomponents. You could also probably talk about all of those in depth. You've got the document loaders, the text splitters, the embedding models, the vector stores. Embedding models and vector stores, we don't really have, or sorry, we don't build, we integrate with those. Text splitters, I think we have like 15 or so. Like I think there's an under kind of like appreciated amount of those. [00:14:39]Swyx: And then... Well, it's actually, honestly, it's overwhelming. Nobody knows what to choose. [00:14:43]Harrison: Yeah, there is a lot. [00:14:44]Swyx: Yeah. Do you have personal favorites that you want to shout out? [00:14:47]Harrison: The one that we have in the docs is the default is like the recursive text splitter. We added a playground for text splitters the other week because, yeah, we heard a lot that like, you know, and like these affect things like the chunk overlap and the chunks, they affect things in really subtle ways. And so like I think we added a playground where people could just like choose different options. We have like, and a lot of the ideas are really similar. You split on different characters, depending on kind of like the type of text that you have marked down, you might want to split on differently than HTML. And so we added a playground where you can kind of like choose between those. I don't know if those are like underappreciated though, because I think a lot of people talk about text splitting as being a hard part, and it is a really important part of creating these retrieval applications. But I think we have a lot of really cool retrieval algorithms as well. So like self query is maybe one of my favorite things in LangChain, which is basically this idea of when you have a user question, the typical kind of like thing to do is you embed that question and then find the document that's most similar to that question. But oftentimes questions have things that just, you don't really want to look up semantically, they have some other meaning. So like in the example that I use, the example in the docs is like movies about aliens in the year 1980. 1980, I guess there's some semantic meaning for that, but it's a very particular thing that you care about. And so what the self query retriever does is it splits out the metadata filter and most vector stores support like a metadata filter. So it splits out this metadata filter, and then it splits out the semantic bit. And that's actually like kind of tricky to do because there's a lot of different filters that you can have like greater than, less than, equal to, you can have and things if you have multiple filters. So we have like a pretty complicated like prompt that does all that. That might be one of my favorite things in LangChain, period. Like I think that's, yeah, I think that's really cool. [00:16:26]Alessio: How do you think about speed of development versus support of existing things? So we mentioned retrieval, like you got, or, you know, text splitting, you got like different options for all of them. As you get building LangChain, how do you decide which ones are not going to keep supporting, you know, which ones are going to leave behind? I think right now, as you said, the space moves so quickly that like you don't even know who's using what. What's that like for you? [00:16:50]Harrison: Yeah. I mean, we have, you know, we don't really have telemetry on what people are using in terms of what parts of LangChain, the telemetry we have is like, you know, anecdotal stuff when people ask or have issues with things. A lot of it also is like, I think we definitely prioritize kind of like keeping up with the stuff that comes out. I think we added function calling, like the day it came out or the day after it came out, we added chat model support, like the day after it came out or something like that. That's probably, I think I'm really proud of how the team has kind of like kept up with that because this space is like exhausting sometimes. And so that's probably, that's a big focus of ours. The support, I think we've like, to be honest, we've had to get kind of creative with how we do that. Cause we have like, I think, I don't know how many open issues we have, but we have like 3000, somewhere between 2000 and 3000, like open GitHub issues. We've experimented with a lot of startups that are doing kind of like question answering over your docs and stuff like that. And so we've got them on the website and in the discord and there's a really good one, dosu on the GitHub that's like answering issues and stuff like that. And that's actually something we want to start leaning into more heavily as a company as well as kind of like building out an AI dev rel because we're 10 people now, 10, 11 people now. And like two months ago we were like six or something like that. Right. So like, and to have like 2,500 open issues or something like that, and like 300 or 400 PRs as well. Cause like one of the amazing things is that like, and you kind of alluded to this earlier, everyone's building in the space. There's so many different like touch points. LangChain is lucky enough to kind of like be a lot of the glue that connects it. And so we get to work with a lot of awesome companies, but that's also a lot of like work to keep up with as well. And so I don't really have an amazing answer, but I think like the, I think prioritize kind of like new things that, that come out. And then we've gotten creative with some of kind of like the support functions and, and luckily there's, you know, there's a lot of awesome people working on all those support coding, question answering things that we've been able to work with. [00:18:46]Swyx: I think there is your daily rhythm, which I've seen you, you work like a, like a beast man, like mad impressive. And then there's sometimes where you step back and do a little bit of high level, like 50,000 foot stuff. So we mentioned, we mentioned retrieval. You did a refactor in March and there's, there's other abstractions that you've sort of changed your mind on. When do you do that? When do you do like the, the step back from the day to day and go, where are we going and change the direction of the ship? [00:19:11]Harrison: It's a good question so far. It's probably been, you know, we see three or four or five things pop up that are enough to make us think about it. And then kind of like when it reaches that level, you know, we don't have like a monthly meeting where we sit down and do like a monthly plan or something. [00:19:27]Swyx: Maybe we should. I've thought about this. Yeah. I'd love to host that meeting. [00:19:32]Harrison: It's really been a lot of, you know, one of the amazing things is we get to interact with so many different people. So it's been a lot of kind of like just pattern matching on what people are doing and trying to see those patterns before they punch us in the face or something like that. So for retrieval, it was the pattern of seeing like, Hey, yeah, like a lot of people are using vector sort of stuff. But there's also just like other methods and people are offering like hosted solutions and we want our abstractions to work with that as well. So we shouldn't bake in this paradigm of doing like semantic search too heavily, which sounds like basic now, but I think like, you know, to start a lot of it was people needed help doing these things. But then there was like managed things that did them, hybrid retrieval mechanisms, all of that. I think another example of this, I mean, Langsmith, which we can maybe talk about was like very kind of like, I think we worked on that for like three or four months before announcing it kind of like publicly, two months maybe before giving it to kind of like anyone in beta. But this was a lot of debugging these applications as a pain point. We hear that like just understanding what's going on is a pain point. [00:20:27]Alessio: I mean, you two did a webinar on this, which is called Agents vs. Chains. It was fun, baby. [00:20:32]Swyx: Thanks for having me on. [00:20:33]Harrison: No, thanks for coming. [00:20:34]Alessio: That was a good one. And on the website, you list like RAG, which is retrieval of bank debt generation and agents as two of the main goals of LangChain. The difference I think at the Databricks keynote, you said chains are like predetermined steps and agents is models reasoning to figure out what steps to take and what actions to take. How should people think about when to use the two and how do you transition from one to the other with LangChain? Like is it a path that you support or like do people usually re-implement from an agent to a chain or vice versa? [00:21:05]Swyx: Yeah. [00:21:06]Harrison: You know, I know agent is probably an overloaded term at this point, and so there's probably a lot of different definitions out there. But yeah, as you said, kind of like the way that I think about an agent is basically like in a chain, you have a sequence of steps. You do this and then you do this and then you do this and then you do this. And with an agent, there's some aspect of it where the LLM is kind of like deciding what to do and what steps to do in what order. And you know, there's probably some like gray area in the middle, but you know, don't fight me on this. And so if we think about those, like the benefits of the chains are that they're like, you can say do this and you just have like a more rigid kind of like order and the way that things are done. They have more control and they don't go off the rails and basically everything that's bad about agents in terms of being uncontrollable and expensive, you can control more finely. The benefit of agents is that I think they handle like the long tail of things that can happen really well. And so for an example of this, let's maybe think about like interacting with a SQL database. So you can have like a SQL chain and you know, the first kind of like naive approach at a SQL chain would be like, okay, you have the user question. And then you like write the SQL query, you do some rag, you pull in the relevant tables and schemas, you write a SQL query, you execute that against the SQL database. And then you like return that as the answer, or you like summarize that with an LLM and return that to the answer. And that's basically the SQL chain that we have in LangChain. But there's a lot of things that can go wrong in that process. Starting from the beginning, you may like not want to even query the SQL database at all. Maybe they're saying like, hi, or something, or they're misusing the application. Then like what happens if you have some step, like a big part of the application that people with LangChain is like the context aware part. So there's generally some part of bringing in context to the language model. So if you bring in the wrong context to the language model, so it doesn't know which tables to query, what do you do then? If you write a SQL query, it's like syntactically wrong and it can't run. And then if it can run, like what if it returns an unexpected result or something? And so basically what we do with the SQL agent is we give it access to all these different tools. So it has another tool, it can run the SQL query as another, and then it can respond to the user. But then if it kind of like, it can decide which order to do these. And so it gives it flexibility to handle all these edge cases. And there's like, obviously downsides to that as well. And so there's probably like some safeguards you want to put in place around agents in terms of like not letting them run forever, having some observability in there. But I do think there's this benefit of, you know, like, again, to the other part of what LangChain is like the reasoning part, like each of those steps individually involves some aspect of reasoning, for sure. Like you need to reason about what the SQL query is, you need to reason about what to return. But there's then there's also reasoning about the order of operations. And so I think to me, the key is kind of like giving it an appropriate amount to reason about while still keeping it within checks. And so to the point, like, I would probably recommend that most people get started with chains and then when they get to the point where they're hitting these edge cases, then they think about, okay, I'm hitting a bunch of edge cases where the SQL query is just not returning like the relevant things. Maybe I should add in some step there and let it maybe make multiple queries or something like that. Basically, like start with chain, figure out when you're hitting these edge cases, add in the reasoning step to that to handle those edge cases appropriately. That would be kind of like my recommendation, right? [00:24:09]Swyx: If I were to rephrase it, in my words, an agent would be a reasoning node in a chain, right? Like you start with a chain, then you just add a reasoning node, now it's an agent. [00:24:17]Harrison: Yeah, the architecture for your application doesn't have to be just a chain or just an agent. It can be an agent that calls chains, it can be a chain that has an agent in different parts of them. And this is another part as well. Like the chains in LangChain are largely intended as kind of like a way to get started and take you some amount of the way. But for your specific use case, in order to kind of like eke out the most performance, you're probably going to want to do some customization at the very basic level, like probably around the prompt or something like that. And so one of the things that we've focused on recently is like making it easier to customize these bits of existing architectures. But you probably also want to customize your architectures as well. [00:24:52]Swyx: You mentioned a bit of prompt engineering for self-ask and then for this stuff. There's a bunch of, I just talked to a prompt engineering company today, PromptOps or LLMOps. Do you have any advice or thoughts on that field in general? Like are you going to compete with them? Do you have internal tooling that you've built? [00:25:08]Harrison: A lot of what we do is like where we see kind of like a lot of the pain points being like we can talk about LangSmith and that was a big motivation for that. And like, I don't know, would you categorize LangSmith as PromptOps? [00:25:18]Swyx: I don't know. It's whatever you want it to be. Do you want to call it? [00:25:22]Harrison: I don't know either. Like I think like there's... [00:25:24]Swyx: I think about it as like a prompt registry and you store them and you A-B test them and you do that. LangSmith, I feel like doesn't quite go there yet. Yeah. It's obviously the next step. [00:25:34]Harrison: Yeah, we'll probably go. And yeah, we'll do more of that because I think that's definitely part of the application of a chain or agent is you start with a default one, then you improve it over time. And like, I think a lot of the main new thing that we're dealing with here is like language models. And the main new way to control language models is prompts. And so like a lot of the chains and agents are powered by this combination of like prompt language model and then some output parser or something doing something with the output. And so like, yeah, we want to make that core thing as good as possible. And so we'll do stuff all around that for sure. [00:26:05]Swyx: Awesome. We might as well go into LangSmith because we're bringing it up so much. So you announced LangSmith I think last month. What are your visions for it? Is this the future of LangChain and the company? [00:26:16]Harrison: It's definitely part of the future. So LangSmith is basically a control center for kind of like your LLM application. So the main features that it kind of has is like debugging, logging, monitoring, and then like testing and evaluation. And so debugging, logging, monitoring, basically you set three environment variables and it kind of like logs all the runs that are happening in your LangChain chains or agents. And it logs kind of like the inputs and outputs at each step. And so the main use case we see for this is in debugging. And that's probably the main reason that we started down this path of building it is I think like as you have these more complex things, debugging what's actually going on becomes really painful whether you're using LangChain or not. And so like adding this type of observability and debuggability was really important. Yeah. There's a debugging aspect. You can see the inputs, outputs at each step. You can then quickly enter into like a playground experience where you can fiddle around with it. The first version didn't have that playground and then we'd see people copy, go to open AI playground, paste in there. Okay. Well, that's a little annoying. And then there's kind of like the monitoring, logging experience. And we recently added some analytics on like, you know, how many requests are you getting per hour, minute, day? What's the feedback like over time? And then there's like a testing debugging, sorry, testing and evaluation component as well where basically you can create datasets and then test and evaluate these datasets. And I think importantly, all these things are tied to each other and then also into LangChain, the framework. So what I mean by that is like we've tried to make it as easy as possible to go from logs to adding a data point to a dataset. And because we think a really powerful flow is you don't really get started with a dataset. You can accumulate a dataset over time. And so being able to find points that have gotten like a thumbs up or a thumbs down from a user can be really powerful in terms of creating a good dataset. And so that's maybe like a connection between the two. And then the connection in the other way is like all the runs that you have when you test or evaluate something, they're logged in the same way. So you can debug what exactly is going on and you don't just have like a final score. You have like this nice trace and thing where you can jump in. And then we also want to do more things to hook this into a LangChain proper, the framework. So I think like some of like the managing the prompts will tie in here already. Like we talked about example selectors using datasets as a few short examples is a path that we support in a somewhat janky way right now, but we're going to like make better over time. And so there's this connection between everything. Yeah. [00:28:42]Alessio: And you mentioned the dataset in the announcement blog post, you touched on heuristic evaluation versus LLMs evaluating LLMs. I think there's a lot of talk and confusion about this online. How should people prioritize the two, especially when they might start with like not a good set of evals or like any data at all? [00:29:01]Harrison: I think it's really use case specific in the distinction that I draw between heuristic and LLM. LLMs, you're using an LLM to evaluate the output heuristics, you have some common heuristic that you can use. And so some of these can be like really simple. So we were doing some kind of like measuring of an extraction chain where we wanted it to output JSON. Okay. One evaluation can be, can you use JSON.loads to load it? And like, right. And that works perfectly. You don't need an LLM to do that. But then for like a lot of like the question answering, like, is this factually accurate? And you have some ground truth fact that you know it should be answering with. I think, you know, LLMs aren't perfect. And I think there's a lot of discussion around the pitfalls of using LLMs to evaluate themselves. And I'm not saying they're perfect by any means, but I do think they're, we've found them to be kind of like better than blue or any of those metrics. And the way that I also like to use those is also just like guide my eye about where to look. So like, you know, I might not trust the score of like 0.82, like exactly correct, but like I can look to see like which data points are like flagged as passing or failing. And sometimes the evaluators messing up, but it's like good to like, you know, I don't have to look at like a hundred data points. I can focus on like 10 or something like that. [00:30:10]Alessio: And then can you create a heuristic once in Langsmith? Like what's like your connection to that? [00:30:16]Harrison: Yeah. So right now, all the evaluation, we actually do client side. And part of this is basically due to the fact that a lot of the evaluation is really application specific. So we thought about having evaluators, you could just click off and run in a server side or something like that. But we still think it's really early on in evaluation. We still think there's, it's just really application specific. So we prioritized instead, making it easy for people to write custom evaluators and then run them client side and then upload the results so that they can manually inspect them because I think manual inspection is still a pretty big part of evaluation for better or worse. [00:30:50]Swyx: We have this sort of components of observability. We have cost, latency, accuracy, and then planning. Is that listed in there? [00:30:57]Alessio: Well, planning more in the terms of like, if you're an agent, how to pick the right tool and whether or not you are picking the right tool. [00:31:02]Swyx: So when you talk to customers, how would you stack rank those needs? Are they cost sensitive? Are they latency sensitive? I imagine accuracy is pretty high up there. [00:31:13]Harrison: I think accuracy is definitely the top that we're seeing right now. I think a lot of the applications, people are, especially the ones that we're working with, people are still struggling to get them to work at a level where they're reliable [00:31:24]Swyx: enough. [00:31:25]Harrison: So that's definitely the first. Then I think probably cost becomes the next one. I think a few places where we've started to see this be like one of the main things is the AI simulation that came out. [00:31:36]Swyx: Generative agents. Yeah, exactly. [00:31:38]Harrison: Which is really fun to run, but it costs a lot of money. And so one of our team members, Lance, did an awesome job hooking up like a local model to it. You know, it's not as perfect, but I think it helps with that. Another really big place for this, we believe, is in like extraction of structured data from unstructured data. And the reason that I think it's so important there is that usually you do extraction of some type of like pre-processing or indexing process over your documents. I mean, there's a bunch of different use cases, but one use case is for that. And generally that's over a lot of documents. And so that starts to rack up a bill kind of quickly. And I think extraction is also like a simpler task than like reasoning about which tools to call next in an agent. And so I think it's better suited for that. Yeah. [00:32:15]Swyx: On one of the heuristics I wanted to get your thoughts on, hallucination is one of the big problems there. Do you have any recommendations on how people should reduce hallucinations? [00:32:25]Harrison: To reduce hallucinations, we did a webinar on like evaluating RAG this past week. And I think there's this great project called RAGOS that evaluates four different things across two different spectrums. So the two different spectrums are like, is the retrieval part right? Or is the generation, or sorry, like, is it messing up in retrieval or is it messing up in generation? And so I think to fix hallucination, it probably depends on where it's messing up. If it's messing up in generation, then you're getting the right information, but it's still hallucinating. Or you're getting like partially right information and hallucinating some bits, a lot of that's prompt engineering. And so that's what we would recommend kind of like focusing on the prompt engineering part. And then if you're getting it wrong in the, if you're just not retrieving the right stuff, then there's a lot of different things that you can probably do, or you should look at on the retrieval bit. And honestly, that's where it starts to become a bit like application specific as well. Maybe there's some temporal stuff going on. Maybe you're not parsing things correctly. Yeah. [00:33:19]Swyx: Okay. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:33:35]Harrison: Yeah. Yeah. [00:33:37]Swyx: Yeah. [00:33:38]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:33:56]Swyx: Yeah. Yeah. [00:33:58]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:34:04]Swyx: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. [00:34:17]Harrison: Yeah. Yeah. Yeah. Yeah. Yeah. Yeah, I mean, there's probably a larger discussion around that, but openAI definitely had a huge headstart, right? And that's... Clawds not even publicly available yet, I don't think. [00:34:28]Swyx: The API? Yeah. Oh, well, you can just basically ask any of the business reps and they'll give it to you. [00:34:33]Harrison: You can. But it's still a different signup process. I think there's... I'm bullish that other ones will catch up especially like Anthropic and Google. The local ones are really interesting. I think we're seeing a big... [00:34:46]Swyx: Lama Two? Yeah, we're doing the fine-tuning hackathon tomorrow. Thanks for promoting that. [00:34:50]Harrison: No, thanks for it. I'm really excited about that stuff. I mean, that's something that like we've been, you know, because like, as I said, like the only thing we know is that the space is moving so fast and changing so rapidly. And like, local models are, have always been one of those things that people have been bullish on. And it seems like it's getting closer and closer to kind of like being viable. So I'm excited to see what we can do with some fine-tuning. [00:35:10]Swyx: Yeah. I have to confess, I did not know that you cared. It's not like a judgment on Langchain. I was just like, you know, you write an adapter for it and you're done, right? Like how much further does it go for Langchain? In terms of like, for you, it's one of the, you know, the model IO modules and that's it. But like, you seem very personally, very passionate about it, but I don't know what the Langchain specific angle for this is, for fine-tuning local models, basically. Like you're just passionate about local models and privacy and all that, right? And open source. [00:35:41]Harrison: Well, I think there's a few different things. Like one, like, you know, if we think about what it takes to build a really reliable, like context-aware reasoning application, there's probably a bunch of different nodes that are doing a bunch of different things. And I think it is like a really complex system. And so if you're relying on open AI for every part of that, like, I think that starts to get really expensive. Also like, probably just like not good to have that much reliability on any one thing. And so I do think that like, I'm hoping that for like, you know, specific parts at the end, you can like fine-tune a model and kind of have a more specific thing for a specific task. Also, to be clear, like, I think like, I also, at the same time, I think open AI is by far the easiest way to get started. And if I was building anything, I would absolutely start with open AI. So. [00:36:27]Swyx: It's something I think a lot of people are wrestling with. But like, as a person building apps, why take five vendors when I can take one vendor, right? Like, as long as I trust Azure, I'm just entrusting all my data to Azure and that's it. So I'm still trying to figure out the real case for local models in production. And I don't know, but fine-tuning, I think, is a good one. That's why I guess open AI worked on fine-tuning. [00:36:49]Harrison: I think there's also like, you know, like if there is, if there's just more options available, like prices are going to go down. So I'm happy about that. So like very selfishly, there's that aspect as well. [00:37:01]Alessio: And in the Lancsmith announcement, I saw in the product screenshot, you have like chain, tool and LLM as like the three core atoms. Is that how people should think about observability in this space? Like first you go through the chain and then you start dig down between like the model itself and like the tool it's using? [00:37:19]Harrison: We've added more. We've added like a retriever logging so that you can see like what query is going in and what are the documents you're getting out. Those are like the three that we started with. I definitely think probably the main ones, like basically the LLM. So the reason I think the debugging in Lancsmith and debugging in general is so needed for these LLM apps is that if you're building, like, again, let's think about like what we want people to build in with LangChain. These like context aware reasoning applications. Context aware. There's a lot of stuff in the prompt. There's like the instructions. There's any previous messages. There's any input this time. There's any documents you retrieve. And so there's a lot of like data engineering that goes into like putting it into that prompt. This sounds silly, but just like making sure the data shows up in the right format is like really important. And then for the reasoning part of it, like that's obviously also all in the prompt. And so being able to like, and there's like, you know, the state of the world right now, like if you have the instructions at the beginning or at the end can actually make like a big difference in terms of whether it forgets it or not. And so being able to kind of like. [00:38:17]Swyx: Yeah. And it takes on that one, by the way, this is the U curve in context, right? Yeah. [00:38:21]Harrison: I think it's real. Basically I've found long context windows really good for when I want to extract like a single piece of information about something basically. But if I want to do reasoning over perhaps multiple pieces of information that are somewhere in like the retrieved documents, I found it not to be that great. [00:38:36]Swyx: Yeah. I have said that that piece of research is the best bull case for Lang chain and all the vector companies, because it means you should do chains. It means you should do retrieval instead of long context, right? People are trying to extend long context to like 100K, 1 million tokens, 5 million tokens. It doesn't matter. You're going to forget. You can't trust it. [00:38:54]Harrison: I expect that it will probably get better over time as everything in this field. But I do also think there'll always be a need for kind of like vector stores and retrieval in some fashions. [00:39:03]Alessio: How should people get started with Langsmith Cookbooks? Wanna talk maybe a bit about that? [00:39:08]Swyx: Yeah. [00:39:08]Harrison: Again, like I think the main thing that even I find valuable about Langsmith is just like the debugging aspect of it. And so for that, it's very simple. You can kind of like turn on three environment variables and it just logs everything. And you don't look at it 95% of the time, but that 5% you do when something goes wrong, it's quite handy to have there. And so that's probably the easiest way to get started. And we're still in a closed beta, but we're letting people off the wait list every day. And if you really need access, just DM me and we're happy to give you access there. And then yeah, there's a lot that you can do with Langsmith that we've been talking about. And so Will on our team has been leading the charge on a really great like Langsmith Cookbooks repo that covers everything from collecting feedback, whether it's thumbs up, thumbs down, or like multi-scale or comments as well, to doing evaluation, doing testing. You can also use Langsmith without Langchain. And so we've got some notebooks on that in there. But we have Python and JavaScript SDKs that aren't dependent on Langchain in any way. [00:40:01]Swyx: And so you can use those. [00:40:01]Harrison: And then we'll also be publishing a notebook on how to do that just with the REST APIs themselves. So yeah, definitely check out that repo. That's a great resource that Will's put together. [00:40:10]Swyx: Yeah, awesome. So we'll zoom out a little bit from Langsmith and talk about Langchain, the company. You're also a first-time founder. Yes. And you've just hired your 10th employee, Julia, who I know from my data engineering days. You mentioned Will Nuno, I think, who maintains Langchain.js. I'm very interested in like your multi-language strategy, by the way. Ankush, your co-founder, Lance, who did AutoEval. What are you staffing up for? And maybe who are you hiring? [00:40:34]Harrison: Yeah, so 10 employees, 12 total. We've got three more joining over the next three weeks. We've got Julia, who's awesome leading a lot of the product, go-to-market, customer success stuff. And then we've got Bri, who's also awesome leading a lot of the marketing and ops aspects. And then other than that, all engineers. We've staffed up a lot on kind of like full stack infra DevOps, kind of like as we've started going into the hosted platform. So internally, we're split about 50-50 between the open source and then the platform stuff. And yeah, we're looking to hire particularly on kind of like the things, we're actually looking to hire across most fronts, to be honest. But in particular, we probably need one or two more people on like open source, both Python and JavaScript and happy to dive into the multi-language kind of like strategy there. But again, like strong focus there on engineering, actually, as opposed to maybe like, we're not a research lab, we're not a research shop. [00:41:48]Swyx: And then on the platform side, [00:41:49]Harrison: like we definitely need some more people on the infra and DevOps side. So I'm using this as an opportunity to tell people that we're hiring and that you should reach out if that sounds like you. [00:41:58]Swyx: Something like that, jobs, whatever. I don't actually know if we have an official job. [00:42:02]Harrison: RIP, what happened to your landing page? [00:42:04]Swyx: It used to be so based. The Berkshire Hathaway one? Yeah, so what was the story, the quick story behind that? Yeah, the quick story behind that is we needed a website [00:42:12]Harrison: and I'm terrible at design. [00:42:14]Swyx: And I knew that we couldn't do a good job. [00:42:15]Harrison: So if you can't do a good job, might as well do the worst job possible. Yeah, and like lean into it. And have some fun with it, yeah. [00:42:21]Swyx: Do you admire Warren Buffett? Yeah, I admire Warren Buffett and admire his website. And actually you can still find a link to it [00:42:26]Harrison: from our current website if you look hard enough. So there's a little Easter egg. Before we dive into more of the open source community things, [00:42:33]Alessio: let's dive into the language thing. How do you think about parity between the Python and JavaScript? Obviously, they're very different ecosystems. So when you're working on a LangChain, is it we need to have the same abstraction in both language or are you to the needs? The core stuff, we want to have the same abstractions [00:42:50]Harrison: because we basically want to be able to do serialize prompts, chains, agents, all the core stuff as tightly as possible and then use that between languages. Like even, yeah, like even right now when we log things to LangChain, we have a playground experience where you can run things that runs in JavaScript because it's kind of like in the browser. But a lot of what's logged is like Python. And so we need that core equivalence for a lot of the core things. Then there's like the incredibly long tail of like integrations, more researchy things. So we want to be able to do that. Python's probably ahead on a lot of like the integrations front. There's more researchy things that we're able to include quickly because a lot of people release some of their code in Python and stuff like that. And so we can use that. And there's just more of an ecosystem around the Python project. But the core stuff will have kind of like the same abstractions and be translatable. That didn't go exactly where I was thinking. So like the LangChain of Ruby, the LangChain of C-sharp, [00:43:44]Swyx: you know, there's demand for that. I mean, I think that's a big part of it. But you are giving up some real estate by not doing it. Yeah, it comes down to kind of like, you know, ROI and focus. And I think like we do think [00:43:58]Harrison: there's a strong JavaScript community and we wanted to lean into that. And I think a lot of the people that we brought on early, like Nuno and Jacob have a lot of experience building JavaScript tooling in that community. And so I think that's a big part of it. And then there's also like, you know, building JavaScript tooling in that community. Will we do another language? Never say never, but like... [00:44:21]Swyx: Python JS for now. Yeah. Awesome. [00:44:23]Alessio: You got 83 articles, which I think might be a record for such a young company. What are like the hottest hits, the most popular ones? [00:44:32]Harrison: I think the most popular ones are generally the ones where we do a deep dive on something. So we did something a few weeks ago around evaluating CSV q
North Korean cyberespionage against a Russian aerospace firm. The Reptile rootkit is used against South Korean systems. An update on Cloudzy. Cl0p is using torrents to move data stolen in MOVEit exploitation. Andrea Little Limbago from Interos wonders about the dangers of jumping head first into new technologies? Rick Howard ponders quantum computing. And Meduza is back on Apple Podcasts. For links to all of today's stories check out our CyberWire daily news briefing: https://thecyberwire.com/newsletters/daily-briefing/12/149 Selected reading. Exclusive: North Korean hackers breached top Russian missile maker (Reuters) North Korean hackers stole secrets of Russian hypersonic missile maker (Euractiv) Comrades in Arms? | North Korea Compromises Sanctioned Russian Missile Engineering Company (SentinelOne) Reptile Rootkit: Advanced Linux Malware Targeting South Korean Systems (The Hacker News) UPDATE: Cloudzy Command and Control Provider Report (Halcyon) Reptile Rootkit: Advanced Linux Malware Targeting South Korean Systems (The Hacker News) Clop ransomware now uses torrents to leak data and evade takedowns (BleepingComputer) Ukraine may be winning ‘world's first cyberwar' (The Kyiv Independent) Apple has removed Meduza's flagship news podcast ‘What Happened' from Apple Podcasts, without explaining the reason (Meduza)
Bill provides a review of Kubuntu, how easy it was to install, and how well it might fit for a computer user new to Linux. Episode Time Stamps 00:00 Going Linux #442 · Welcome to Linux! Kubuntu 00:60 Chat GPT 05:15 Kubuntu 10:19 Why choose Kubuntu? 12:55 Preparing for a change to Kubuntu 14:40 Torrents defined 15:60 Create the install media 16:45 Try the 'live' image then install 18:09 Drive types defined 21:58 Hybrid drives? 24:20 Continuing the installation 27:13 Proprietary video drivers 28:08 Additional updates and software 30:21 Learning curve 30:53 Documentation 32:05 Other first impressions 33:07 Kubuntu podcast 34:21 Upcoming episode on Desktop Environments 38:11 goinglinux.com, goinglinux@gmail.com, +1-904-468-7889, @goinglinux, feedback, listen, subscribe 39:14 End
AP correspondent Donna Warder reports on California's dangerous rivers.
This is a LibriVox public domain recording. The Sun Also Rises (1926) was Hemingway's first novel to be published, though there is his novella The Torrents of Spring which was published earlier in the same year. The novel describes, expressed through the voice of Jake Barnes, a short period of social life that ranges from Paris to locations in Spain. One might say that the action occurs in Pamplona, Spain with the annual festival of San Fermin and its running of bulls and subsequent days of bullfights, but one can easily argue that the real interest of the novel is in its portrayal of the group to which Barnes is a part and how he details their anxieties, frailties, hopes, and frustrations. (Summary by KevinS) --- Support this podcast: https://podcasters.spotify.com/pod/show/colin-holbrook/support
Hey everyone! Break out those throat lozenges because we'll be doing a lot of screaming. That's right. Our Recent Review is Scream VI, and our Geriatric Cinematic is Scream (1996). Our Variety Time sees Mark and Kelsey talking about the franchise as a whole and ranking the films. They disagree, of course, but will you share any of their sentiments, or will their opinions be more like a stab? Next week, our Recent Review is Shazam! Fury of the Gods is in theaters Friday, March 17th, and our Geriatric Cinematic is 1995's Mighty Morphin Power Rangers: The Movie, streaming for free on YouTube (HERE) or head-on down to Torrents, California where Black Beard likes to get his movies. Be sure to follow us on Twitter (@TheReelAppeal), Facebook, and Instagram, and you can contact the show at TheReelAppeal@gmail.com. Find every episode on all podcast catchers, and don't forget to rate our show on iTunes! Scream VI - 25:08 Spoilers - 49:58 Variety Time - A Retrospective Look At The Scream Movies - 1:15:46 Geriatric Cinematic - Scream (1996) - 1:43:55
News & Updates: iPhone Feature helps steal your Digital Life phones stolen at Mardi Gras Microsoft Defender helps stop cyberattacks Insurers say Cyberattack we Warlike Malware in Pirated Torrents Malware shows passwords saved in browsers
Vivimos en una sociedad que corre el riesgo de no valorar suficientemente el talento de las personas y su capacidad de crear. Super Founders recoge las historias de algunos de esos líderes españoles que son absolutamente inspiradores para el mundo empresarial que viene. ¿Qué les caracteriza?, ¿cuánto es innato y cuánto de aprendido?, ¿hay un ADN emprendedor?... No te pierdas esta interesante conversación con Manuel.
En los desayunos capital nos trasladamos al DEC con Fernando Lorenzo, Director Desarrollo de Negocio en Likeik. En "Empresas con Identidad" entrevistamos a Manuel López Torrents, periodista económico y autor de “Superfounders de las grandes unicornio españolas” sobre su nuevo libro y conocemos en profundidad a Felix Campano, ceo de Bob.io En los desayunos capital nos trasladamos al DEC con Fernando Lorenzo, Director Desarrollo de Negocio en Likeik. En "Empresas con Identidad" entrevistamos a Manuel López Torrents, periodista económico y autor de “Superfounders de las grandes unicornio españolas” sobre su nuevo libro y conocemos en profundidad a Felix Campano, ceo de Bob.io
We start off with invitations to intro to Sacred Geometry VoD, upcoming Scablands trips, and the challenge to push thru psy-ops and dividing conspiracy rhetoric. Victor Baker's long-term involvement with studies of megafloods has inspired the guys to “think big” and consider the “planetary-scale movement of water” that has shaped the landscapes across the Earth. The Georgia Guidestones, Civil War, Political division, Flat Earth theory, Sahara/Savannah alterations, Nile Valley and Sphinx flooding are all touched on, as we attempt to discern the controlled climate propaganda from the actual published science on Global Change - pushing the boundaries as we progress deeper… Kosmographia Ep087 The Randall Carlson Podcast with Brothers of the Serpent – Kyle and Russ, Normal Guy Mike, and GeocosmicREX admin Bradley, from 7/20/22. LINKS: In the name of liberty and freedom, we are moving this podcast to our new partner platform! Please join us here: https://www.howtube.com/channels/RandallCarlson Sacred Geometry introductory workshop Video on Demand: https://howtube.com/SGwithRC Plato's Atlantis – 7 hours deep-dive with RC for $33: https://www.howtube.com/12513 Cool and fun Kosmographia and RC gear: https://randallcarlson.com/shop Announcements about events, tours and more: https://randallcarlson.com/newsletter (Monthly) New university/village “Sanctuary Project” : https://project.randallcarlson.com Contact at the Cataracts Sept. '22 https://contactatthecabin.com/scablands-with-randall-carlson/ Randall with Rogan ep1772 https://open.spotify.com/episode/190slemJsUXH5pEYR6DUbf Full listing of scientific papers about the Younger Dryas Impact Hypothesis: https://cosmictusk.com CBD RECOMMENDED - Listen to Randall's experience with “CBD from the gods” after the mid-break at 52:02. They have some special deals going on right now, and in addition, for the Kosmographia audience - you can also get FREE shipping on your order! Use code: “RCshipsFREE” (not case sensitive) when you check out at https://www.cbdfromthegods.com Support Randall Carlson's efforts to discover and share pivotal paradigm-shifting information! Improve the quality of the podcast and future videos. Allow him more time for his research into the many scientific journals, books, and his expeditions into the field, as he continues to decipher the clues that explain the mysteries of our past, and prepare us for the future... Make a one-time donation thru PayPal, credit/debit card or other account here: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=8YVDREQ9SMKL6&source=url http://www.RandallCarlson.com has the podcast, RC's blog, galleries, and products to purchase! T-shirts and many new products and styles here: https://randallcarlson.com/shop/ Podcast crew email: Kosmographia1618@gmail.com Info on upcoming trips with Randall and the crew: TOURS@RandallCarlson.com Offer your time/services/accommodations here: VOLUNTEER@RandallCarlson.com Add to the expanding library of evidence here: RESEARCH@RandallCarlson.com Small class lectures "Cosmography 101" from '06-'09 on Brad's original channel: https://youtube.com/geocosmicrex Kosmographia logo and design animation by Brothers of the Serpent. Check out their podcast: http://www.BrothersoftheSerpent.com/ Theme “Deos” and bumper music by Fifty Dollar Dynasty: http://www.FiftyDollarDynasty.net/ Video recording, editing and publishing by Bradley Young with YSI Productions LLC (copyrights), with audio mastered by Kyle Allen and Chris James. CBD FROM THE GODS LINK: http://www.cbdfromthegods.com COUPON CODE: RCshipsFREE #Guidestones #Megafloods #VictorBaker #Mars #PlainsIndians #Sheridan #Controversy #ClimateChange #Howarth #Catastrophe #AltaiMountains #CurrentRipples #psy-ops #Freemasons #Conspiracy #MentalHealth #FlatEarth #Opinion #EarthChange #GlobalChange #Evolution #Extinction
In episode 117 of The Cavalry, Johnny recounts his second experience doing stand-up as Batman. Then Andrew needs backup on Marvel running out of good powers for their superhero's. Johnny needs backup on advertising nowadays always wanting to trick you. Enjoy! To watch Johnny's full batman set check out the Patreon!
Floodwaters stubbornly remain in some parts of Christchurch and Banks Peninsula, turning backyards into lakes and sending rubbish bins drifting past the front fence. Torrents of water have also sent slips crashing onto roads, trapping some in their homes for a second day. Niva Chittock and cameraman Nate Mckinnon have this report.
Trace Talk กลับมาอีกครั้งในวันศุกร์ พบกับขาประจำเจ้าเดิม ยชธัญ Untitled Case และโจ้บองโก้ พร้อมแขกรับเชิญ นายกั๊ง Editor แห่ง Salmon Lab ที่คราวนี้เขามีเรื่องจะมาเล่า สัปดาห์นี้พบกับวิธีใช้งานที่แท้จริงของ สโตนเฮนจ์ ถูกเปิดเผย หลังจากมีทฤษฎีเกี่ยวกับมันมากมายมาหลายทศวรรษ / นายโจ้บอกในอีพีว่าไม่ได้ติดโควิด แต่หลังจากนั้นตรวจพบว่าติด (...ครับ) / ผู้พิพากษาศาลสูงสหรัฐฯ ลงมติคว่ำกฎหมายคุ้มครองทำแท้งเสรี ให้เป็นดุลพินิจตามกฎหมายแต่ละรัฐเอง / Olivia Rodrigo ฉุนจัด ด่าผู้พิพากษาทั้ง 5 คนออกเวทีคอนเสิร์ต / ความสยองของรถเก๋งสีบรอนซ์ทองที่มาจอดหน้าออฟฟิศแซลมอนอย่างลึกลับทุกวัน (ย้ำ ทุกวันจริงๆ) / Torrents of Truth การปิดกั้นอิสรภาพของชาวรัสเซียกับผู้มาเยือนที่คาดไม่ถึง / Fall Guys มีบริษัทที่ผลิต JellyBean อยู่เบื้องหลัง? / Hideo Kojima อยากสร้างเกมที่เนื้อเรื่องคล้ายซีรีส์ The Boys? / แคนาดาพบฟอสซิลลูกแมมมอธโคตรสมบูรณ์อายุกว่า 3 หมื่นปี / มัมหมี กับ มัมหมา ต่างกันยังไง / ARuFa แอคเคานท์สุดปั่นชาวญี่ปุ่น ปิ้งปลาหมึกจนมันขึ้นมานั่งอ่านหนังสือ (อะไรวะเนี่ย) / ถ้ามี Iceberg of UC ลึกที่สุดจะเป็นเรื่องอะไร #SalmonPodcast #UntitledCase #UntitledCaseTraceTalk #ยชธัญ #UCTraceTalk #TraceTalk Learn more about your ad choices. Visit megaphone.fm/adchoices
Trace Talk กลับมาอีกครั้งในวันศุกร์ ครั้งนี้ใครฟังในช่องทางพอดแคสต์ เราย้ายมา publish ที่ Channel หลัก Salmon Podcast แล้วนะ พบกับขาประจำเจ้าเดิม ยชธัญ Untitled Case และโจ้บองโก้ พร้อมแขกรับเชิญ นายกั๊ง Editor แห่ง Salmon Lab ที่คราวนี้เขามีเรื่องจะมาเล่า สัปดาห์นี้พบกับวิธีใช้งานที่แท้จริงของ สโตนเฮนจ์ ถูกเปิดเผย หลังจากมีทฤษฎีเกี่ยวกับมันมากมายมาหลายทศวรรษ / นายโจ้บอกในอีพีว่าไม่ได้ติดโควิด แต่หลังจากนั้นตรวจพบว่าติด (...ครับ) / ผู้พิพากษาศาลสูงสหรัฐฯ ลงมติคว่ำกฎหมายคุ้มครองทำแท้งเสรี ให้เป็นดุลพินิจตามกฎหมายแต่ละรัฐเอง / Olivia Rodrigo ฉุนจัด ด่าผู้พิพากษาทั้ง 5 คนออกเวทีคอนเสิร์ต / ความสยองของรถเก๋งสีบรอนซ์ทองที่มาจอดหน้าออฟฟิศแซลมอนอย่างลึกลับทุกวัน (ย้ำ ทุกวันจริงๆ) / Torrents of Truth การปิดกั้นอิสรภาพของชาวรัสเซียกับผู้มาเยือนที่คาดไม่ถึง / Fall Guys มีบริษัทที่ผลิต JellyBean อยู่เบื้องหลัง? / Hideo Kojima อยากสร้างเกมที่เนื้อเรื่องคล้ายซีรีส์ The Boys? / แคนาดาพบฟอสซิลลูกแมมมอธโคตรสมบูรณ์อายุกว่า 3 หมื่นปี / มัมหมี กับ มัมหมา ต่างกันยังไง / ARuFa แอคเคานท์สุดปั่นชาวญี่ปุ่น ปิ้งปลาหมึกจนมันขึ้นมานั่งอ่านหนังสือ (อะไรวะเนี่ย) / ถ้ามี Iceberg of UC ลึกที่สุดจะเป็นเรื่องอะไร #SalmonPodcast #UntitledCase #UntitledCaseTraceTalk #ยชธัญ #UCTraceTalk #TraceTalk Learn more about your ad choices. Visit megaphone.fm/adchoices
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In this season finale, these knuckleheads with carved foreheads (and the two without them) leave the Plunging Torrents and try to decide which evil cult to tackle next (season). Scott McNulty with Aleen Simms, Dan Moren, Erika Ensign, Jason Snell, Steve Lutz and Tony Sindelar.
In this season finale, these knuckleheads with carved foreheads (and the two without them) leave the Plunging Torrents and try to decide which evil cult to tackle next (season). Host Scott McNulty with Aleen Simms, Dan Moren, Erika Ensign, Jason Snell, Steve Lutz and Tony Sindelar.
Rusia elimina la penalización de la infracción de los derechos de autor, de momento el mayor portal de Torrents ruso ya está abierto. También hablamos de los video juegos para tratar el PTSD en los veteranos de guerra, y más cosillas. Suscríbete a mi podcast: https://www.spreaker.com/user/vidasenredEn Pocket Cast: https://pca.st/podcast/38707740-c7a5-012f-7f6b-723c91aeae46Mi iPad Pro 2021 11": https://amzn.to/3vjHJRKMi teclado Logitech K380: https://amzn.to/2Rv6yeZLa funda de mi iPad Pro: https://amzn.to/3v8aEImMi webcam: https://amzn.to/3sNlx0TMi micrófono: https://amzn.to/3sBlt4c
Binaural recording from the lower falls in the cascading series of waterfalls at Aysgarth Falls in the Yorkshire Dales. Recorded by Cities and Memory.
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