Podcasts about kensho

“AI is the New UI” at S&P Global. In this episode, Swamy Kocherlakota, EVP and Chief Digital Solutions Officer, shares how the 165-year-old market intelligence leader is scaling AI and reimagining digital ecosystems. Swamy discusses S&P Global's transition to a product operating model that drives innovation at scale, and how Kensho, the company's AI “speedboat,” accelerates generative AI breakthroughs. He explains how S&P Global delivers essential intelligence across platforms—from desktops and APIs to AI agents embedded in digital ecosystems—and how the Four Ps Framework (Potential, Productivity, People, Protect) guides responsible AI adoption across the enterprise. Swamy also introduces sFlow and Spark, internal tools that empower employees to build and share AI-driven workflows. Tune in to explore how S&P Global is transforming its vast data assets into actionable insights and next-generation customer experiences.

Erleuchtung, große Befreiung, Kensho, Satori – all das sind Begriffe für einen Zustand, den Worte nicht fassen können. Doch den Weg dorthin können wir beschreiben. Und genau darum geht es heute.Der Pfad der Meditation gleicht einer Bergbesteigung: Er ist anspruchsvoll, voller Herausforderungen und nicht immer klar erkennbar. Deshalb habe ich vor 20 Jahren die vier Meilensteine des Daishin-Zen entwickelt – vier Berghütten auf dem Weg zur inneren Klarheit. Jeder Meilenstein ist eine Station der Transformation:1️⃣ Energie & innere Mitte – die Kraft, um den Weg überhaupt zu gehen2️⃣ Versenkung & Stille – das tiefe Eintauchen in uns selbst3️⃣ Große Einheit & Herzensöffnung – das Auflösen des Ich in liebevoller Verbundenheit4️⃣ Achtsamkeit & Befreiung – die klare, wache Präsenz im Hier und JetztJede dieser Stufen enthält einen Schatz an Übungen, die uns helfen, tiefer zu gehen und diesen Weg mit Freude und Stabilität zu beschreiten. Lass uns gemeinsam diese Meilensteine erkunden und entdecken, wie wir Meditation als kraftvolle Reise zu uns selbst nutzen können.

Mikey Shulman is the Co-Founder and CEO of Suno, the leading music AI company. Suno lets everyone make and share music. Mikey has raised over $125M for the company from the likes of Lightspeed, Founder Collective and Nat Friedman and Daniel Gross. Prior to founding Suno, Mikey was the first machine learning engineer and head of machine learning at Kensho technologies, which was acquired by S&P Global for over $500 million.  In Today's Episode with Mikey Shulman: 1. The Future of Models:  Who wins the future of models? Anthropic, OpenAI or X? Will we live in a world of many smaller models? When does it make sense for specialised vs generalised models? Does Mikey believe we will continue to see the benefits of scaling laws? 2. The Future of UI and Consumer Apps:  Why does Mikey believe that OpenAI did AI consumer companies a massive disservice? Why does Mikey believe consumers will not choose their model or pay for a superior model in the future?  Why does Mikey believe that good taste is more important than good skills? Why does Mikey argue physicists and economists make the best ML engineers? 3. The Future of Music:  What is going on with Suno's lawsuit against some of the biggest labels in music? How does Mikey see the future of music discovery? How does Mikey see the battle between Spotify and YouTube playing out? How does Mikey see the battle between TikTok and Spotify playing out?  

I a la segona part del programa anirem fins a l’Ampolla per conèixer una activitat que ha estat guardonada amb el premi Jordi Cartanyà 2024, atorgat per la Diputació de Tarragona, a la millor proposta per a la creació de nous productes de turisme experiencial. L’empresa és Kensho Sake i parlarem amb el seu creador, Humbert Conti.

Bright on Buddhism - Kōan Series Episode 11 - Jōshū's "Wash Your Bowls" Hello and welcome to a new episode of the Kōan Series. In this series, we will read and discuss real Buddhist kōans to try and better understand them. We hope you enjoy. Resources: Episode 10 - https://anchor.fm/brightonbuddhism/episodes/What-is-Zen-Buddhism-e1a2sm2 Episode 18 - https://anchor.fm/brightonbuddhism/episodes/What-is-the-Buddhist-philosophy-of-speech--language--and-words-e1dgqu9 Episode 32 - https://anchor.fm/brightonbuddhism/episodes/What-are-kans-e1j5scl Episode 33 - https://anchor.fm/brightonbuddhism/episodes/What-is-emptiness-e1jc31i Hori, Victor Sogen (1999). "Translating the Zen Phrase Book" (PDF). Nanzan Bulletin (23).; Hori, Victor Sogen (2000), Koan and Kensho in the Rinzai Zen Curriculum. In: Steven Heine and Dale S. Wright (eds)(2000): "The Koan. Texts and Contexts in Zen Buddhism, Oxford: Oxford University Press; Heine, Steven (2008), Zen Skin, Zen Marrow; Bielefeldt, Carl (2009), "Expedient Devices, the One Vehicle, and the Life Span of the Buddha", in Teiser, Stephen F.; Stone, Jacqueline I. (eds.), Readings of the Lotus Sutra, New York: Columbia University Press, ISBN 9780231142885; Kotatsu, Fujita; Hurvitz, Leon (1975), "One Vehicle or Three", Journal of Indian Philosophy, 3 (1/2): 79–166; Lopez, Donald (2016), The Lotus Sutra: A Biography (Kindle ed.), Princeton University Press, ISBN 978-0691152202; Lopez, Donald S.; Stone, Jacqueline I. (2019), Two Buddhas Seated Side by Side: A Guide to the Lotus Sūtra, Princeton University Press; Pye, Michael (2003), Skilful Means – A concept in Mahayana Buddhism, Routledge, ISBN 0203503791; Watson, Burton (tr.) (1993), The Lotus Sutra, Columbia University Press, ISBN 023108160X; Patrick Olivelle, trans. Life of the Buddha. Clay Sanskrit Library, 2008. 1 vols. (Cantos 1-14 in Sanskrit and English with summary of the Chinese cantos not available in the Sanskrit); Stone, Jacqueline Ilyse (2003), "Original enlightenment and the transformation of medieval Japanese Buddhism" (PDF), Studies in East Asian Buddhism, University of Hawaii Press (12), ISBN 978-0-8248-2771-7, archived from the original (PDF) on November 5, 2013; Hakeda, Yoshito S., trans. (1967), Awakening of Faith—Attributed to Aśvaghoṣa, with commentary by Yoshito S. Hakeda, New York, NY: Columbia University Press, ISBN 0-231-08336-X; Jorgensen, John; Lusthaus, Dan; Makeham, John; Strange, Mark, trans. (2019), Treatise on Awakening Mahāyāna Faith, New York, NY: Oxford University Press, ISBN 9780190297718 Do you have a question about Buddhism that you'd like us to discuss? Let us know by finding us on email or social media! https://linktr.ee/brightonbuddhism Credits: Nick Bright: Script, Cover Art, Music, Voice of Hearer, Co-Host Proven Paradox: Editing, mixing and mastering, social media, Voice of Hermit, Co-Host

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Perguntas e respostas com Monge Genshō Rōshi ------ Site: daissen.org.br Instagram: @zendaissen e @mongegensho Youtube: Zen Budismo por Monge Genshō Aplicativo do Daissen na Play Store e App Store: Zen Daissen https://linktr.ee/zendaissen

Bright on Buddhism - Kōan Series Episode 10 - Hyakujō and The Fox Hello and welcome to a new episode of the Kōan Series. In this series, we will read and discuss real Buddhist kōans to try and better understand them. We hope you enjoy. Resources: Episode 10 - https://anchor.fm/brightonbuddhism/episodes/What-is-Zen-Buddhism-e1a2sm2 Episode 18 - https://anchor.fm/brightonbuddhism/episodes/What-is-the-Buddhist-philosophy-of-speech--language--and-words-e1dgqu9 Episode 32 - https://anchor.fm/brightonbuddhism/episodes/What-are-kans-e1j5scl Episode 33 - https://anchor.fm/brightonbuddhism/episodes/What-is-emptiness-e1jc31i Hori, Victor Sogen (1999). "Translating the Zen Phrase Book" (PDF). Nanzan Bulletin (23).; Hori, Victor Sogen (2000), Koan and Kensho in the Rinzai Zen Curriculum. In: Steven Heine and Dale S. Wright (eds)(2000): "The Koan. Texts and Contexts in Zen Buddhism, Oxford: Oxford University Press; Heine, Steven (2008), Zen Skin, Zen Marrow; Bielefeldt, Carl (2009), "Expedient Devices, the One Vehicle, and the Life Span of the Buddha", in Teiser, Stephen F.; Stone, Jacqueline I. (eds.), Readings of the Lotus Sutra, New York: Columbia University Press, ISBN 9780231142885; Kotatsu, Fujita; Hurvitz, Leon (1975), "One Vehicle or Three", Journal of Indian Philosophy, 3 (1/2): 79–166; Lopez, Donald (2016), The Lotus Sutra: A Biography (Kindle ed.), Princeton University Press, ISBN 978-0691152202; Lopez, Donald S.; Stone, Jacqueline I. (2019), Two Buddhas Seated Side by Side: A Guide to the Lotus Sūtra, Princeton University Press; Pye, Michael (2003), Skilful Means – A concept in Mahayana Buddhism, Routledge, ISBN 0203503791; Watson, Burton (tr.) (1993), The Lotus Sutra, Columbia University Press, ISBN 023108160X; Patrick Olivelle, trans. Life of the Buddha. Clay Sanskrit Library, 2008. 1 vols. (Cantos 1-14 in Sanskrit and English with summary of the Chinese cantos not available in the Sanskrit); Stone, Jacqueline Ilyse (2003), "Original enlightenment and the transformation of medieval Japanese Buddhism" (PDF), Studies in East Asian Buddhism, University of Hawaii Press (12), ISBN 978-0-8248-2771-7, archived from the original (PDF) on November 5, 2013; Hakeda, Yoshito S., trans. (1967), Awakening of Faith—Attributed to Aśvaghoṣa, with commentary by Yoshito S. Hakeda, New York, NY: Columbia University Press, ISBN 0-231-08336-X; Jorgensen, John; Lusthaus, Dan; Makeham, John; Strange, Mark, trans. (2019), Treatise on Awakening Mahāyāna Faith, New York, NY: Oxford University Press, ISBN 9780190297718 Do you have a question about Buddhism that you'd like us to discuss? Let us know by finding us on email or social media! https://linktr.ee/brightonbuddhism Credits: Nick Bright: Script, Cover Art, Music, Voice of Hearer, Co-Host Proven Paradox: Editing, mixing and mastering, social media, Voice of Hermit, Co-Host

Bright on Buddhism - Kōan Series Episode 9 - What is the Buddha? Three Pounds of Flax Hello and welcome to a new episode of the Kōan Series. In this series, we will read and discuss real Buddhist kōans to try and better understand them. We hope you enjoy. Resources: Episode 10 - https://anchor.fm/brightonbuddhism/episodes/What-is-Zen-Buddhism-e1a2sm2 Episode 18 - https://anchor.fm/brightonbuddhism/episodes/What-is-the-Buddhist-philosophy-of-speech--language--and-words-e1dgqu9 Episode 32 - https://anchor.fm/brightonbuddhism/episodes/What-are-kans-e1j5scl Episode 33 - https://anchor.fm/brightonbuddhism/episodes/What-is-emptiness-e1jc31i Hori, Victor Sogen (1999). "Translating the Zen Phrase Book" (PDF). Nanzan Bulletin (23).; Hori, Victor Sogen (2000), Koan and Kensho in the Rinzai Zen Curriculum. In: Steven Heine and Dale S. Wright (eds)(2000): "The Koan. Texts and Contexts in Zen Buddhism, Oxford: Oxford University Press; Heine, Steven (2008), Zen Skin, Zen Marrow; Bielefeldt, Carl (2009), "Expedient Devices, the One Vehicle, and the Life Span of the Buddha", in Teiser, Stephen F.; Stone, Jacqueline I. (eds.), Readings of the Lotus Sutra, New York: Columbia University Press, ISBN 9780231142885; Kotatsu, Fujita; Hurvitz, Leon (1975), "One Vehicle or Three", Journal of Indian Philosophy, 3 (1/2): 79–166; Lopez, Donald (2016), The Lotus Sutra: A Biography (Kindle ed.), Princeton University Press, ISBN 978-0691152202; Lopez, Donald S.; Stone, Jacqueline I. (2019), Two Buddhas Seated Side by Side: A Guide to the Lotus Sūtra, Princeton University Press; Pye, Michael (2003), Skilful Means – A concept in Mahayana Buddhism, Routledge, ISBN 0203503791; Watson, Burton (tr.) (1993), The Lotus Sutra, Columbia University Press, ISBN 023108160X; Patrick Olivelle, trans. Life of the Buddha. Clay Sanskrit Library, 2008. 1 vols. (Cantos 1-14 in Sanskrit and English with summary of the Chinese cantos not available in the Sanskrit); Stone, Jacqueline Ilyse (2003), "Original enlightenment and the transformation of medieval Japanese Buddhism" (PDF), Studies in East Asian Buddhism, University of Hawaii Press (12), ISBN 978-0-8248-2771-7, archived from the original (PDF) on November 5, 2013; Hakeda, Yoshito S., trans. (1967), Awakening of Faith—Attributed to Aśvaghoṣa, with commentary by Yoshito S. Hakeda, New York, NY: Columbia University Press, ISBN 0-231-08336-X; Jorgensen, John; Lusthaus, Dan; Makeham, John; Strange, Mark, trans. (2019), Treatise on Awakening Mahāyāna Faith, New York, NY: Oxford University Press, ISBN 9780190297718 Do you have a question about Buddhism that you'd like us to discuss? Let us know by finding us on email or social media! https://linktr.ee/brightonbuddhism Credits: Nick Bright: Script, Cover Art, Music, Voice of Hearer, Co-Host Proven Paradox: Editing, mixing and mastering, social media, Voice of Hermit, Co-Host --- Send in a voice message: https://podcasters.spotify.com/pod/show/brightonbuddhism/message

Еженедельные подкасты PORTAL SOUND SYSTEM. #portalfm #portalsoundsystem Вторник, 23-00 (Мск): garagefm.ru Организация выступлений/Booking: +7915-847-57-55 t.me/sergeybaribyn 01. KENSHO (ofc) - Getting Started (Goom Gum Remix) 02. The Organism - Dictator (Light UA Remix) 03. Randy Seidman, Michael Ritter - Falling 04. Weekend Heroes - Delta 05. Tinlicker - Blowfish 06. Dastisay - OMG (Melodic Mix) 07. MRI (ofc) - Liquid Love 08. Walker & Royce, VNSSA - I Don't Remember 09. Artis Gato - Instant Acceptance 10. HEREON, Like Mike, Khainz, Elodie Gervaise - Under Your Spine 11. Zafrir - TARE 12. Alan Wools, Etonika - Crazy 13. Dark Heart, Botelho - The Rhythm

Giving computers a voice has always been at the center of sci-fi movies; “I'm sorry Dave, I'm afraid I can't do that” wouldn't hit as hard if it just appeared on screen as a terminal output, after all. The first electronic speech synthesizer, the Voder, was built at Bell Labs 85 years ago (1939!), and it's…. something:We will not cover the history of Text To Speech (TTS), but the evolution of the underlying architecture has generally been Formant Synthesis → Concatenative Synthesis → Neural Networks. Nowadays, state of the art TTS is just one API call away with models like Eleven Labs and OpenAI's TTS, or products like Descript. Latency is minimal, they have very good intonation, and can mimic a variety of accents. You can hack together your own voice AI therapist in a day!But once you have a computer that can communicate via voice, what comes next? Singing

We need more allies at all levels in tech. But what does allyship mean if you're in a leadership role? Sometimes it's about being honest and vulnerable. Bhavesh Dayalji is the CEO at Kensho Technologies, an artificial intelligence solutions provider. Bhavesh also has a second role - Chief AI Officer at S&P Global. So how does he balance all of this with his family life? Bhavesh says that it's hard. The truth is, very few people find the right balance for them. But he's learning and describes himself as a “husband and father” before anything else.Bhavesh started his career at CERN, the European Organization for Nuclear Research, in Switzerland. However, he joked with his colleagues that he was more interested in how the business owners in the city were utilizing technological solutions. This led him to management consulting and, eventually, Kensho.Bhavesh believes that a culture that encourages women to bring their authentic selves to work can help them feel comfortable and achieve their full potential. He also stresses that the route to inclusive hiring might take more time, but that diversity of thought is critical in the expanding AI space.Join us every episode with hosts Suchi Srinivasan & Kamila Rakhimova from BCG to hear meaningful conversations with women and allies in digital technology and business.This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy

In this Better Satellite World podcast series, we explore the exciting developments in space-based data analytics and the absolutely game-changing nature of this relatively new part of the industry. The fourth episode features a conversation with Mike Collett, Founder and Managing Partner of Promus Ventures and Joe Fargnoli, Co-Founder and Managing Partner of the New York Space Alliance and co-host of the monthly New York Space Business Roundtable alongside SSPI's Lou Zacharilla. Mike and Joe join Lou to talk about space-based data analytics and the role satellites play. Mike Collett is Founder and Managing Partner of Promus Ventures. Since its inception in 2012, Promus Ventures invests in DeepTech early-stage startups, with offices in Chicago, San Francisco and Luxembourg. Mike has been a venture capital investor for over 20 years. Mike has invested in over 100 startups, including Rocket Lab, AngelList, Whoop, Mapbox, ICEYE, Bellabeat, FLYR, Kensho, Swift Navigation, Spire Global and others. Prior to Promus Ventures, Mike was Founder and Managing Partner of Masters Capital Nanotechnology Fund, a venture capital firm. While working at Masters Capital, a hedge fund, Mike invested in software and hardware startups. Prior to venture capital, Mike was a Vice President in Merrill Lynch's Mergers & Acquisitions group. Mike holds a BA in Math and BA in English from Vanderbilt University. He also holds a MBA in Finance from Washington University in St. Louis. Mike and his wife Paige have four children and live in Chicago. Joe Fargnoli is one of the co-founders of the New York Space Alliance (NYSA), a Public Benefit Corporation focused on bringing the immense and diverse resources of New York City and State to the New Space Economy. NYSA offers programs in tactical entrepreneurship such as an accelerator, a bootcamp in conjunction with Founder's Institute and a Hacking for Space Program in development as well as an online Innovation Exchange community connecting the many different space impacting industries with the New Space Economy. He also serves as a Solutions Architect for Raytheon Intelligence & Space and SMA, Inc. and Managing Partner for both NYSA and Innovation Acceleration Capital in Rochester, New York. Together with SSPI, Joe co-founded the New York Space Business Roundtable, a monthly dialogue and real New York style conversation about the space & satellite industry and its many facets, including where the investments are going. January's edition of the New York Space Business Roundtable - 2024: What We Want! - is coming up later this week on Wednesday, January 17. You can learn more and register for the Roundtable on SSPI's website. His previous career background includes Northrop Grumman Electronic Sensors and Systems group working on both National Electro-Optical as well as SAR system and Kodak/ITT/Exelis/Harris with focus on National and Commercial systems.  He also served as a Technical Fellow within the NRO. Joe holds an MS in Optics from the University of Rochester, an MS in Telecommunications and Computers from the George Washington University a BS in Mathematics and MS degree in Electrical Engineering from The State University of New York.

Podcast Notes for "The Kensho That Transformed My Journey: A New Year's Message"Support the Podcast:Join Steven in supporting the continuation of these enlightening podcasts. Show your appreciation and keep this valuable content flowing by treating Steven to a coffee at https://stevenwebb.uk.

Conductor Kensho Watanabe joins Marty for a chat about his concert with the RTE Concert Orchestra this Saturday night.

Follow us here: Spotify: https://spoti.fi/2cAY638 homepage: http://www.cosmic-gate.de Facebook: https://www.facebook.com/cosmicgate/ Instagram: https://www.instagram.com/realcosmicgate/ =============================== EPISODE 493: 01. Nick Morgan - Shook Part 3 (Original Mix) [Calamar Records] 02. Siskin - Electric Love (Extended Mix) [Black Hole] 03. Siskin - Can You Feel It (Extended Mix) [Black Hole] 04. Dylhen x Luccio - Running Away (Extended Mix) [Pattern] 05. Einmusik & Jordan Arts - The One's (Extended Mix) [Purified] 06. Max Freegrant & Slow Fish - Don't Forget (Extended Mix) [Freegrant] 07. Osiris - Forever (Extended Mix) [Vandit Alternative] 08. John Digweed, Nick Muir vs Franky Wah - Tripchain (Extended Mix) [Bedrock] 09. WhoMadeWho, Adriatique - Miracle (Extended Mix) [Rose Avenue] 10. KENSHO (ofc) - Getting Started (Goom Gum Remix) [Kinetika Music] 11. Cosmic Gate - Mirador (Album Mix) [Wake Your Mind] 12. Cosmic Gate - Raging (Alexander Popov Vox mix) [Wake Your Mind]

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

Characteristic electronic favorites and true musical interests. Instagram: instagram.com/sebastiandavidsonmusic Email: hello@sebastiandavidson.com Web: www.sebastiandavidson.com Subscribe and rate on Apple Podcasts: podcasts.apple.com/us/podcast/voya…on/id1450307758 Submit music to: hello@sebastiandavidson.com 1. Anthony P. - Aura 2. Kiimi - Know Someone 3. KENSHO (ofc) - Lost 4. AUGUSTE, Louis Bongo, Mahallo - Old Days 5. Gorje Hewek & Dulus - Celestial 6. Long Island Sound - Air 7. Nuage & Fractures - Red Line 8. Roisin Murphy & DJ Koze - Can't Replicate 9. Billon x Nadeem - Archive 10. Geuzz - Hypno (A.C.N. Remix) 11. Squire - Tell Me The Truth

Characteristic electronic favorites and true musical interests. Instagram: instagram.com/sebastiandavidsonmusic Email: hello@sebastiandavidson.com Web: www.sebastiandavidson.com Subscribe and rate on Apple Podcasts: podcasts.apple.com/us/podcast/voya…on/id1450307758 Submit music to: hello@sebastiandavidson.com 1. KENSHO (ofc) - Getting Started 2. Marsh - Pneuma (Volen Sentir Mix) 3. Simon Field - Let This One Ride 4. Blanka Barbara - Ever Closer (Danny Lloyd Remix) 5. Brina Knauss - We Know 6. LEGATO - I'll Never Forget You 7. Róisín Murphy & DJ Koze - You Knew (Eli Escobar Remix) 8. Sanoi - Mountain Pass (Gabriel Ananda Remix) 9. Tanil & Moa - Wander 10. Erdi Irmak - Attitude (Peter Makto Remix) 11. Moontalk - Extas

Zeskullz Presents @ Radio Record #233 - RITN (27.07.2023) RITN Tracklist: 01. Cloonee - Fine Night 02. Arnold & Lane - Werkem 03. Kendrick Lamar, Mtg - N95 (Ritn Remix) 04. James Hype & Major Lazer - Number 1 05. Nautik - Lose Myself 06. Julio Navas, Gustavo Bravetti, David Amo - Raw (Tony Romera Remix) (Ritn Vocal Edit) 07. 07. Magnificence Remix) 08. Dubdisko, Mc Bin Laden - Bololô 09. Ritn - Everybody's Free 10. Ritn - Latching On Me 11. Lady Bee - Fiya (Curbi Edit) 12. Ramon Tapia - Bring It On Down TOP 5 UNRELEASED TRACKS OF THIS WEEK: 01. Armand Van Helden 'I Want Your Soul' (Mau P Remix) [Southern Fried Records] 39:20 02. Maceo Plex & AVNU 'Clickbait' (This Ain't Hollywood) [Lone Romantic] 42:30 03. Basti Grub - Let's Get Lost Tonight feat . Dizzy Monroe ([PIAS] Electronique) 46:30 04. Jamie Jones - Lose My Mind [Helix Records] 49:00 05. KENSHO (ofc) - Getting Started (Kinketika Records) 54:30

Zeskullz Presents mixtape by: RITN 01. Cloonee - Fine Night 02. Arnold & Lane - Werkem 03. Kendrick Lamar, Mtg - N95 (Ritn Remix) 04. James Hype & Major Lazer - Number 1 05. Nautik - Lose Myself 06. Julio Navas, Gustavo Bravetti, David Amo - Raw (Tony Romera Remix) (Ritn Vocal Edit) 07. 07. Magnificence Remix) 08. Dubdisko, Mc Bin Laden - Bololô 09. Ritn - Everybody's Free 10. Ritn - Latching On Me 11. Lady Bee - Fiya (Curbi Edit) 12. Ramon Tapia - Bring It On Down TOP 5 UNRELEASED TRACKS OF THIS WEEK: 01. Armand Van Helden 'I Want Your Soul' (Mau P Remix) [Southern Fried Records] 39:20 02. Maceo Plex & AVNU 'Clickbait' (This Ain't Hollywood) [Lone Romantic] 42:30 03. Basti Grub - Let's Get Lost Tonight feat . Dizzy Monroe ([PIAS] Electronique) 46:30 04. Jamie Jones - Lose My Mind [Helix Records] 49:00 05. KENSHO (ofc) - Getting Started (Kinketika Records) 54:30

Joshu (Peter Thompson) is a founding member of the Sydney Zen Centre and a founder of the Wombat Sangha based in Sydney. In this talk Joshu develops a founding narrative for contemporary Zen practice based upon Evolution. Joshu says, “An important part of the story and mystery of our evolution and being here is the existential reality of alienation and separation and anxiety seemingly caused by the emergence of the frontal neo cortex, bringing with it the human thinking mind ...This brought about The Fall from the graceful state of oneness ( The Garden Of Eden , Genesis ) ....In explaining this, I am cross fertilizing a number of religious stories ... In the beginning existed "only The Tao, Silent and Alone " ( Tao Te Ching ) … Tao or Brahma is moved to create a Divine Lila or Game ...A vast game of Hide and Seek - to lose 'herself' in her creation and then to seek to find herself again in the evolution of the human instrument over 4 billion years from the first living single cell! Woman and Man, at first totally lost and ignorant ( Avidya ) , confused , immersed in forgetfulness and clouded by thinking mind are moved and driven to find themselves as absolute and eternal life , which in reality they had never lost or left.” The great master Jesus points to the need for a great search to arrive back at home again-'Seek and Ye shall find , Knock and the door shall be opened ' He demonstrates the centrality of the theme of 'lost and found' in three major and profound parables 1. The Prodigal Son/Daughter 2. The Lost Sheep and 3. The Widow's Coin ....What is most notable here is the grief of the loss, the intensity and unrelenting search and the tremendous relief , JOY and CELEBRATION upon the finding ... ( Ecstasis, Kensho, Sartori , Epiphany etc.) The thesis is thus that JOY and CELEBRATION are the alpha and omega of our existence - the main goal, the main reason for our being here... (Zen Master Hakuin - " Singing and Dancing are the Voice of The Law “) Brahma - Tao - Godhead and the awakened person exhibit these seven main qualities. Universal Love ( Karuna , Agape ) , Joy- Bliss ( Ananda ) , Creativity ( incl - Vishnu -preservation/ protection and Shiva- destruction ) , Intelligence , Conscious Knowing ( Chit ), Energy , Absolute BEINGNESS ( Sat) The thesis here is that these metaphysical considerations enhance our Zen spiritual practice and understanding by embedding us in a most meaningful background context and Universal viewing platform ...

With all of the furor surrounding generative AI, a more fundamental understanding of the technology can provide better insights. Peter Licursi and Chris Tanner of Kensho return to look at the history and technology on which all of the AI hype rests with host Eric Hanselman. Language models have been with us for years, but the combination of lower cost computing and the ready availability of large volumes of training data have transformed the types of problems that we're able to address. https://pages.marketintelligence.spglobal.com/Next-in-Tech-Podcast-Subscribe-Options.html

This podcast hit paid subscribers' inboxes on April 7. It dropped for free subscribers on April 10. To receive future pods as soon as they're live, and to support independent ski journalism, please consider an upgrade to a paid subscription. You can also subscribe for free below:WhoJody Churich, Vice President and Chief Operating Officer of Breckenridge, ColoradoRecorded onMarch 27, 2023About BreckenridgeClick here for a mountain stats overviewOwned by: Vail ResortsLocated in: Breckenridge, ColoradoYear founded: 1961Pass affiliations: Unlimited on Epic Pass, Epic Local Pass; limited access on Summit Value Pass (holiday blackouts), Keystone Plus Pass (unlimited access after April 1), Tahoe Local Pass (5 days shared with Vail, Beaver Creek, Keystone, Crested Butte, Park City)Closest neighboring ski areas: Frisco Adventure Park (15 minutes), Copper Mountain (25 minutes), Keystone (25 minutes), Arapahoe Basin (30 minutes), Loveland (38 minutes), Ski Cooper (1 hour, 5 minutes) – travel times can vary considerably pending traffic and weatherBase elevation: 9,600 feetSummit elevation: 12,998 feetVertical drop: 3,398 feetSkiable Acres: 2,908Average annual snowfall: 350 inchesTrail count: 187Lift count: 35 (1 gondola, 5 six-packs, 7 high-speed quads, 1 triple, 6 doubles, 3 platters, 1 T-bar, 11 carpets) – Breckenridge plans to replace 5-Chair, a 1970 Riblet double, with a high-speed quad this summer.Why I interviewed herThe audacity of it all. Many ski areas reach. Breck soars. Above the town, above the Pacific Ocean-sized parking lots, above the twisty-road condos and mansions, above the frantic base areas and trail-cut high-alpine - there lie the bowls, sweeping one after the next, southeast to northwest, across the range. Chairlifts, improbably, magnificently, will take you there. Or most of the way, at least. Kensho Superchair – a six-pack, rolls up to 12,302 feet, to the doorstep of Peak 6 – it's a short hike to the tippy top, at 12,573 feet. But Kensho is holding Imperial Superchair's beer, as that monster climbs to 12,840, just 158 feet shy of the 12,998-foot summit of Peak 8.Why don't they go all the way to the summit? Why do you think? Listen to the podcast to get the answer, or go there for yourself and see how those wild winds hit you at the top – or close enough to the top – of America.The Brobots have plenty to say about Breck, Texas North, Intermediate Mountain. A-Basin is where the Summit County steeps live, don't you know? There's some truth to that, but it's a narrative fed by bravado and outdated information. Breck's high-alpine chairs – Imperial in 2005 and Kensho in 2013 – have trenched easy access to vast realms of gut-punching terrain. Beat your chest all you will – the only way out is straight down.Breck is one of the most complete resorts in America, is my point here. And that didn't happen by accident. Since Vail took ownership of the joint in 1997, the company has deliberately, steadily, almost constantly improved it. Sixteen new lifts, including the inbound 5-Chair upgrade (Breck will swap out a 53-year-old Riblet double for a new high-speed quad this summer); massive expansions onto Peaks 6 and 7; steady snowmaking and parking upgrades. If you want to understand Vail's long-term intentions for its other 40 ski areas, look to the evolution of this, one of its original four resorts, over decades of always-better incremental upgrades.Of course, plenty of people know that. Maybe too many. Breck is often – always? – America's busiest resort by pure skier visits. It's easy to access, easy to like, mostly – I said mostly Peak 10, E, 6 chairs – easy to ski if you stay below treeline. The town is the town, one of the great après hubs of North American skiing, thrumming, vibrant, a scene. Don't go unless you want some company.So what becomes of a place like Breck in a 21st century filled with existential questions about what lift-served skiing has become and what it is destined to be? How does a high-alpine but extremely accessible mountain adapt to its parent company's insistence on dropping it onto the budget version of its ultra-affordable Epic Pass? Can the super-modern lifts that these pass sales fuel fix the liftlines that spoil the experience without overloading the trails in a way that spoils the experience? How can a town of 5,000 residents accommodate a daily influx of 17,000-ish skiers without compromising its bucolic essence that drew those visitors to begin with? And to what extent do even our highest ski areas need to fortify themselves against the worst outcomes of a changing climate with ever-more-aggressive snowmaking?Every ski resort-blessed mountain town in the West is grappling with this same set of questions, but Breck, I-70 adjacent and Vail Resorts-bound, is perhaps the most high-profile among them. And where the town and the resort succeed or fail, they inform where our other icons will go. It's a fascinating story, and we're still in the book's early chapters.What we talked aboutUnseasonable Colorado snow and cold; Breck's strong 2022-23 ski season; how late the season could go and what could be available to ski; that California ski life; thoughts on Tahoe's big season; Sierra-at-Tahoe's fire recovery; Alpine Meadows in the pre-Powdr Corp ‘90s; why Alpine Meadows eventually dropped its snowboarding ban and what happened when it did; the early days of terrain parks; reaction when Powdr suddenly sold Alpine; how tiny Boreal and Soda Springs compete in a Tahoe market bursting with mega-resorts; the rise of Woodward; Vail's ongoing efforts to promote women; leaving Powdr for Vail; Breck magic; four giant ski resorts, mere miles apart, but all distinct; the largest employee housing bed base in Vail Resorts portfolio; an assist with childcare; how a ski resort prepares for and responds to on-mountain fatalities; Breck's “better not bigger” masterplan; nudging guests toward underutilized terrain; big plans for Peaks 8 and 9; upgrades on Freedom Superchair, Rip's Ride, and 5-Chair; how a gondola could change Peak 9; a mid-mountain learning center; prioritizing upgrades for Peak 9's 50-plus-year-old Riblet lifts; why Horseshoe T-bar is an unlikely candidate for an upgrade; why Kensho and Imperial Superchair don't go to the very top of Breckenridge; the Peak 8 Super Connect chair detachment in December; how the resort determined that the chairlift was safe to run again; massive snowmaking upgrades and how these sync with Vail Resorts' environmental goals; why Breck is only available on the top-tier Epic Day Pass, but is unlimited on the Epic Local Pass; and why Breck has remained on the Epic Local Pass.Why I thought that now was a good time for this interviewLate last year, Breck updated its masterplan, as all ski areas operating on U.S. Forest Service land are obliged to do every decade (or so, as it actually ends up working out). Themed “bigger, not better,” the masterplan amounted to a modernization blueprint to maximize the resort's existing footprint with modern lifts and selective trail- and glade-cutting:Breckenridge's goal is to tame its wild peaks. “The structuring vision for the next 10 years at [Breckenridge] is ‘Better not Bigger,'” the master plan states. Noting that the resort's “significant congestion … can diminish the guest experience,” Breck says that its “goal is not to increase overall skier and rider visits on or around peak days, but rather to concentrate on improving the guest experience and better managing visitation.” To accomplish this, the resort hopes to both better move skiers out of its base areas with more and better lifts, and to keep many of them on the upper mountains with a combination of better chairs and a subtly re-imagined trail network.Here's the overview:And a more granular look at what would and would not change in the mountain's massive lift network:The full article is worth a read, as I went peak-by-peak and broke down the proposed changes to each, including upgrades to the snowmaking footprint :So, what better time to discuss America's most vibrant ski resort than at the moment when the folks running it just outlined their vision for the far future? Breck will be an important test case of the extent to which a high-profile flagship can climate-proof and crowd-proof itself in an era of climate uncertainty and megapass maximalism. If Breck can thrive without breaking itself and everything around it – including the town at its base, the county it sits in, and the big road that leads up from the flats – then 21st century skiing will follow, adapt, adjust.Questions I wish I'd askedChurich and I briefly discussed a skier death at Breckenridge from a few weeks ago. Per the Aspen Times:An Illinois man clearing snow from his chairlift seat with the safety restraint up fell out and died at Breckenridge Ski Resort a week ago, the local sheriff's office reported.John Perucco, 60, of Elgin, Illinois, was pronounced dead March 17 at St. Anthony's Summit Hospital in Frisco after the fall, the Summit County Coroner's Office said in an email. He was reportedly wearing a helmet when he fell from the lift.He had not yet reached Tower 1 of Zendo Chair when he fell 25 feet and landed on a hard-packed, groomed trail below, according to the Summit County Sheriff's Office. The department was reportedly notified around 11:20 a.m. of a death at the emergency room.What I would have liked to explore a bit more was the issue of the raised safety bar. This is something I've thought a lot about lately. In New England and New York, all of the lifts have safety bars, and most skiers use them most of the time. Their use is required by law in several states, including Vermont, New York, and Massachusetts – patrollers and lift attendants often aggressively pressure skiers who don't lower them. If you load a lift with strangers and you're not prepared, you're liable to be conked in the head by a down-coming bar – Easterners' etiquette around this is abysmal, as it's polite to at least call out, “coming down.”In the Midwest and the West, bar use is much spottier. Forget the Midwest, where modern lifts are rare and most of the old ones have not been retrofit with bars. But skiing's money is in the West, where most major lifts at most major resorts have been upgraded to detachables, which all have bars. I get a lot of passive-aggressive irritation when I lower the bar (with warning, of course), particularly in Utah and Colorado. This has always puzzled me. What's the resistance? I'm aware of the NSAA research casting doubt on the efficacy of bar use – I'm skeptical, as there is no way to tell how many accidents have been prevented by a lowered bar.Anyway, there is a cultural resistance to chairlift bar usage in the western United States that, as far as I can tell, is unique to the world's major ski cultures. Vail, for its part, retrofits all of its inherited chairlifts with safety bars. So does Alterra. Vail requires its employees to use them at all times. Alterra allows each mountain to set its own policies (Palisades Tahoe and Solitude, for example, require bar use for employees).I want to dig into this more, to understand both why this resistance exists and why it persists, despite the proliferation of modern chairlifts. It's a bigger story than can be explored in a single anecdote, and hopefully it's one I can write about more this offseason. Will this resistance fade, as once-ubiquitous helmet resistance has? Or is this skiing's version of a cultural wedge issue, set to divide the tourists from the locals in an escalating game of Who Belongs Here?What I got wrong* I said that 10 of Vail Resorts' 41 ski areas were currently led by women. The correct number, at the time of recording, was nine out of 41. Here's a complete list (several of Vail's ski areas share a regional general manager: Boston Mills, Brandywine, and Alpine Valley in Ohio; Jack Frost and Big Boulder in Pennsylvania; and Seven Springs, Hidden Valley, and Laurel in Pennsylvania). With yesterday's news that Beaver Creek COO Nadia Guerriero would move up to VP/COO of the Rockies Region (replacing Bill Rock, who was promoted to head of Vail's Mountain Division), that number is now eight, I suppose. But who knows how Vail will stir up its mountain leadership team over the summer.* I also named off all the large ski areas around Lake Tahoe, to give context to Churich's challenge running tiny Soda Springs and Boreal in that realm of monsters. The only thousand-plus-footer I missed in that riff is Homewood, but here's a complete list of Tahoe-region ski areas. It really is amazing how these smaller spots exist (and seem to thrive), alongside some of the nation's largest and most-developed resorts:* Churich and I also discussed what I referred to as “Vail's new app” for the 2023-24 ski season. Its official name will be the My Epic app, and it should be a considerable upgrade from Epic Mix. The app will be your Epic Pass (no more RFID card unless you still want one), and will feature interactive trailmaps, real-time liftline wait times, operational updates, blackout date info on your pass, weather updates, resort charge, and more.Why you should ski BreckenridgeBecause you kind of have to. Trying to navigate life as a U.S. American skier without skiing Breck is kind of like trying to go through life without hearing a Taylor Swift song. It's there whether you want it or not. Even if you're in the habit of driving past to hit the Eagle County resorts, or you prefer A-Basin or Copper, or you avoid the I-70 corridor altogether, eventually your cousin or your boys from college or your aunt Phyllis is going to plan a spring break trip or a bachelor party or a family Christmas get-together at Breck, and you're going to go.And you're going to like it. This is not the busiest ski area in America by accident. It's a damn good ski mountain, even if it has more people and fewer steeps and less snow than some of its high-profile ski-biz peers. Yes, liftlines at Peaks 8 and 9 can test your patience at key times. And, yes, the intermediate superhighways can accumulate interstate-esque traffic. But it only takes a little creativity to find quiet glades off Peak 10 and 6-Chair and E-Chair, and tucked between the groomers off every other peak. As with any big western resort, you can follow the crowds or you can follow your skis. The kind of day you have once you stand up and push off the top of the lift is entirely up to you.Podcast NotesI've hosted several other Colorado-based Vail Resorts leaders on the podcast over the past year. While Bill Rock and Nadia Guerriero have recently moved positions, these conversations are largely still relevant:The Storm explores the world of lift-served skiing all year long. Join us.The Storm publishes year-round, and guarantees 100 articles per year. This is article 32/100 in 2023, and number 418 since launching on Oct. 13, 2019. Want to send feedback? Reply to this email and I will answer (unless you sound insane, or, more likely, I just get busy). You can also email skiing@substack.com. Get full access to The Storm Skiing Journal and Podcast at www.stormskiing.com/subscribe

This week on the podcast, I sat down with self-development expert and mom of 2 Sheetal Kurup. Whether working with NLP, Human Design, Hypnosis or a myriad of other modalities, Sheetal is a wealth of resources and self-discovery knowledge for moms and entrepreneurs alike. Sheetal Kurup is an Amazon #1 International Bestselling Co-Author of the Book Business, Life & Universe Series #5 and a Multi-passionate Online Entrepreneur. She passionately believes in blending Spirituality with Science to help women create transformations from the inside out so they can live the life of their dreams.She is certified in Human Design, NLP, EFT, Hypnotherapy, Time Techniques, Life and Success Coaching and loves to use these various modalities to create deep transformations in women. She is an immigrant from India, a Lawyer turned Entrepreneur with an inspiring story of starting her biz at the age of 40, quickly building it to 6 figures, and inspiring many women along the way. If this episode inspired you in some way, take a screenshot of you listening on your device and post it to your Instagram Stories and tag us, @pamgodboiscoaching and @sheetalkurup_In this episode you'll hear:Sheetal shares her struggles and fears or whether or not she was really worth it. How she uncovered the unique blend of her analytical mind and creative spirit and how this blend lead to so much success. Connecting the dots backward, and finding the through-line, and how this is a better practice than obsessing over choosing the right path. How to land on the right path with ease and trust the process. The difference between getting there with Kensho vs Satori. How using faith and patience as her guiding principles Sheetal was able to rediscover her path over and over. The value of feeding your mind & soul.Using the abundance in the universe and learning to follow your own light! How allowing yourself to be jealous, and following that jealousy might just get you further than you ever thought possible.The necessity of taking action in order to find your clear path. And never being afraid to try new things, and how this can help you grow and evolve. LINKS:Sheetal's Website: https://www.sheetalkurup.com/Sheetal in Tiktok: https://www.tiktok.com/@sheetalkurup_Free Facebook Group For Moms: The Messy Truth: Moms on the Path of RediscoveryConnect with me:  Instagram, Facebook, and Tiktok. If you're like “I love listening to Pam chat with guests.” Then head over and write a review! We really appreciate your support and it helps us to keep growing!!  https://pamgodbois.com/ApplePodcast Thank you so much for listening to this week's episode. Be sure to tune in next week.

“ETF of the Week” became “ETFs of the Week” as VettaFi's vice chairman Tom Lydon discussed the SPDR S&P Kensho Clean Power ETF (CNRG) and the SPDR S&P Oil & Gas Exploration & Production ETF (XOP) for a rare double header for this  week's “ETF of the Week” podcast with Chuck Jaffe of “Money Life.”

"What gets made gets affected by the quality of the insights." Edward Norton is an actor, filmmaker, and activist. He has been nominated for three Academy Awards for his work in Primal Fear, American History X, and Birdman and has starred in several other acclaimed films including Fight Club, The Illusionist, and Moonrise Kingdom. Edward is also a UN Ambassador for Biodiversity, a successful investor (Uber, CrowdRise, and Kensho — acquired by SAP for $550 million), and deeply involved in wilderness conservation. In 2015, Edward co-founded EDO with PhD economist, poet, and entrepreneur Daniel Nadler. EDO is a leading TV outcomes company that works with top brands, networks, and Hollywood studios — from AT&T and Disney, to Univision, and of course P&G — using cutting edge data science to predictively power the success of marketing, research, and creative professionals. In a candid conversation ranging from David Bowie to data science, you'll enjoy hearing about stretching your limits beyond what's expected of you — across many paths of creativity, business, and entrepreneurship. If you're ever driven to do something more than your day job, or what the world expects of you - AND you happen to be a bit of a nerd about marketing and tech - this is the podcast episode for you. But Edward Norton is not exactly a P&G Alumni, so what's the deal? Alongside our partners at P&G, we're thrilled to share another episode of P&G's “More Than Soap” podcast - available exclusively each week to P&G Employees at GetMoreThanSoap.com. On “More Than Soap,” P&G shares weekly conversations with Inspiring guests, unique perspectives, and unconventional ideas. “More Than Soap” is P&G's official internal podcast - available to all 100,000 P&G employees worldwide, and hosted by Dorion Positano, P&G's Director of New Business and Content Innovation. Interested in learning more about P&G's “More Than Soap” podcast, or P&G Studios, can reach out directly to Dorion on LinkedIn. GetMoreThanSoap.com

Kristjan Õunamägi on isa ja muusik bändis Dragons of the North. Ta on sellise ettevõtte ja brändi nagu Loodusvägi asutaja ja looja.  Ülikoolis õppis Kristjan logistikat ning hiljem läbis Holistilise Instituudi regressiooniteraapia õpingud.  Hetkel tegeleb ta  uue projektiga - Kensho, mis loob autonoomseid väikemaju looduskaunitesse kohtadesse, kus saab ennast välja lülitada muu maailma mürast ja inimestest ning leida taas kontakt oma sisemise minaga.Saates räägime:7st elu põhimõttestaastatepikkusest sõltuvusest ja sellest vabanemisestLOOV Organic (endine Loodusvägi OÜ) loomisest, kus võimatust sai võimalikteekonnast akordioniõpingutest lastemuusikakoolis kuni Dragons of the North pop-rock rännakumuusika loomiseniKensho autonoomsetest offgrid majadestSaates kõlanud laulud: 1. "Kamina taga"2. "Naine-Mees"3. "Mets on õpetaja"Kristjan ÕunamägiFacebookKenshostay.comDragons of the NorthTäitsa Pekkis SaadeInsta: https://www.instagram.com/taitsapekki...Festival: https://taitsapekkis.ee/seminar/Patreon: https://www.patreon.com/taitsapekkisSupport the show

Lovely Listeners, the Classical Gabfest is going on a hiatus as we await the advent of our new co-host as Kensho moves on from the show.But we know you need your weekly dose of classical music news, analysis, and competition, so we're excited to announce the Classical Gabfest Newsletter, which is now available for subscription:classicalgabfest.substack.comThis is a free newsletter that will hit your inbox every Thursday and will follow the same basic format that you've come to expect of the podcast, but the best part is that you'll be able to play our weekly Name That Tune game, comment on the stories, like, share, and suggest future segment ideas.We greatly appreciate your support and we look forward to the resumption of the podcast, but in the meanwhile, head over to Substack — we can't wait to see you there!CLASSICAL MIXTAPEThe full playlistTHINK YOU CAN STUMP US? GO AHEAD AND TRY!Google Form for “Name that Tune: Stump the Hosts Edition” You can reach us at classicalgabfest@gmail.com and on social media:FacebookTwitterInstagram

Mission Daily Report Aug 24,2022 1. อัปเดตตัวเลขผู้ที่ได้รับการฉีดวัคซีน Covid-19 ในประเทศไทย 2. ราคาดัชนีตลาดหลักทรัพย์ / ราคาหุ้นต่างประเทศ / ราคาน้ำมันดิบ / ราคาทองคำ / ราคา Cryptocurrency 3. “Disney Plus” ตัดสินใจขึ้นราคาค่าบริการ 4. Snapchat ประกาศหยุดพัฒนาตัวโดรน “Pixy” โดรนเซลฟี่ 5. นายกให้สัมภาษณ์ขอให้รอฟังคำตัดสินของศาลปม 8 ปีนายก 6. กาแฟอาจราคาขึ้นหลังบราซิลเก็บผลผลิตเมล็ดได้น้อยลง 7. เครื่องปรับอากาศไม่ง้อไฟฟ้า “Kensho” 8. วิกฤตค่าเงินยูโรอ่อนค่าสูงสุดในรอบ 20 ปี 9. นักวิเคราะห์เผยวิกฤตพลังงานไฟฟ้าของจีนอาจไม่หนักเท่าปีที่แล้ว 10. เพราะอะไร ทำไมค่าไฟแพงขึ้น 11. ยอดขายรถยนต์ไฟฟ้าของประเทศจีน 12. หุ่นยนต์ลาดตระเวนรักษาความปลอดภัยในอาการ 13. แนะทยอยสะสมหุ้นสหรัฐฯเน้นกลุ่ม High Quality จากสัญญาณเงินเฟ้อใกล้ผ่าน จุดสูงสุด 14. นักลงทุนรัสเซียเปิดตัวร้านกาแฟ “Stars Coffee” 15. การผลิตก๊าซออกซิเจนบนดาวอังคารด้วยพลาสมา

Mission Daily Report Aug 24,2022 1. อัปเดตตัวเลขผู้ที่ได้รับการฉีดวัคซีน Covid-19 ในประเทศไทย 2. ราคาดัชนีตลาดหลักทรัพย์ / ราคาหุ้นต่างประเทศ / ราคาน้ำมันดิบ / ราคาทองคำ / ราคา Cryptocurrency 3. “Disney Plus” ตัดสินใจขึ้นราคาค่าบริการ 4. Snapchat ประกาศหยุดพัฒนาตัวโดรน “Pixy” โดรนเซลฟี่ 5. นายกให้สัมภาษณ์ขอให้รอฟังคำตัดสินของศาลปม 8 ปีนายก 6. กาแฟอาจราคาขึ้นหลังบราซิลเก็บผลผลิตเมล็ดได้น้อยลง 7. เครื่องปรับอากาศไม่ง้อไฟฟ้า “Kensho” 8. วิกฤตค่าเงินยูโรอ่อนค่าสูงสุดในรอบ 20 ปี 9. นักวิเคราะห์เผยวิกฤตพลังงานไฟฟ้าของจีนอาจไม่หนักเท่าปีที่แล้ว 10. เพราะอะไร ทำไมค่าไฟแพงขึ้น 11. ยอดขายรถยนต์ไฟฟ้าของประเทศจีน 12. หุ่นยนต์ลาดตระเวนรักษาความปลอดภัยในอาการ 13. แนะทยอยสะสมหุ้นสหรัฐฯเน้นกลุ่ม High Quality จากสัญญาณเงินเฟ้อใกล้ผ่าน จุดสูงสุด 14. นักลงทุนรัสเซียเปิดตัวร้านกาแฟ “Stars Coffee” 15. การผลิตก๊าซออกซิเจนบนดาวอังคารด้วยพลาสมา

In this week's podcast Sophia is joined by BOAT US Editor Cecile, who is fresh from a holiday in Switzerland. With yacht show season fast approaching the pair discuss which yachts they are most excited about hopefully seeing, including 75 metre Kensho, 62 metre CRN Rio and the new Sunreef 80 Eco. They also briefly discuss Sophia's first hybrid experience on Benetti Goga and the Monaco Energy Boat Challenge.  In the news is the launch of Project Witchcraft,  Gallant Lady's refit and an exciting update from Turkish yard Sarp. The data story this week looks at the brokerage numbers from Q2, with an impressive 138 yachts sold. https://www.boatinternational.com/yachts/news/kensho-admiral-yachts https://www.boatinternational.com/yachts/news/benetti-first-byond  https://www.boatinternational.com/business/news/monaco-energy-boat-challenge-2022 https://www.boatinternational.com/yachts/news/project-witchcraft-amels-launched https://www.boatinternational.com/yacht-market-intelligence/brokerage-sales-news/sarp-yachts-nacre-62 https://www.boatinternational.com/yachts/news/codecasa-yacht-boji https://www.boatinternational.com/yachts/news/gtx116-pershing-begins-construction https://www.boatinternational.com/yachts/news/gallant-lady-refit-feadship

In this week's episode of BOAT Briefing, we discuss everything from yacht furniture you can grow on the sea floor to the exciting new 37 metre B.Yond project from Benetti. Stewart, meanwhile, reports back from trips to Germany and Italy and Charlotte looks ahead to our Life Under Sail supplement and the amazing yachts featured within. In the news is Lurssen's delivery of 160m Blue, the latest on The Italian Sea Group's new flagship, Kensho, and we discuss the aesthetic merits of the massive 88.15m multihull Asean Lady. Our data story concerns Riva, and we take a closer look at the brand's amazing Aquarama, arguably the most beautiful boat ever built. Links:  New 80m Nobiskrug: https://www.boatinternational.com/yachts/news/nobiskrug-signs-new-contract-80m Benetti B.Yond: https://www.boatinternational.com/yachts/news/benetti-first-byond Project Blue: https://www.boatinternational.com/yachts/news/lurssen-project-blue Kensho delivered: https://www.boatinternational.com/yachts/news/kensho-admiral-yachts Azimut-Benetti financial news: https://www.boatinternational.com/yachts/news/azimut-benetti-1-billion-production-value Asean Lady for sale: https://www.boatinternational.com/yacht-market-intelligence/brokerage-sales-news/power-multihull-yacht-asean-lady-for-sale BOAT Pro: https://www.boatinternational.com/boat-pro Subscribe: https://www.boatinternational.com/subscriptions Contact us: podcast@boatinternationalmedia.com

Satyen is the founder and CEO of the multi million-dollar transformational academy WarriorSage. Satyen has impacted over 100,000 students from over 50 countries around the world. After 35 years of rigorous study & practice in both creating enlightened business growth and developing higher consciousness, Satyen works privately with CEOs, high impact individuals, executive teams who have mastered accomplishment in the financial and public world, but now want a deeper balance, illumination and self-realized equilibrium that he calls Peak Existence. A remarkable living synthesis of eastern wisdom and western practicality, Satyen combines the power of the warrior and wisdom of the sage to lead leaders worldwide into their highest self knowledge, self-expression and impact. Satyen's elite clientele know they are ready for next level integrated fullness, and a life vibrant with purpose, passionate intimacy, connection, significance and transcendence. If you are ready, Satyen's fearless and heartfelt style will transform your untapped potentialities into strengths and the full spectrum of your life into peak existence. https://warriorsage.com/   Unknown Speaker 0:00 Your journey has been an interesting one up to hear you've questioned so much more than those around you. You've even questioned yourself as to how you could have grown into these thoughts. Am I crazy? When did I begin to think differently? Why do people in general, you're so limited thought process Rest assured, you are not alone. The world is slowly waking up to what you already know inside yet can't quite verbalize. Welcome to the spiritual dough podcast, the show that answers the question you never even knew to ask, but knew the answers to questions about you this world the people in it? Most importantly, how do I proceed? Now moving forward? We don't even have all the answers, but we sure do love living in the question some time for another head of spiritual Brandon Handley 0:36 one. Hey, there's spiritual dope. I'm on here today with our guests. Satyen Raja. He is a co founder with his wife, Suzanne Raja, that founded warrior sage back in 1999. That's the last millennia, right? So it's and they founded it with a mission to activate leaders with powerful missions to bring their dreams into reality. So for the past two decades, Sultana Suzanne utilized her three decades of immersion in wisdom, transformational and enlightenment methodologies to provide hundreds of trainings and workshops, international, Lee teaching 10s of 1000s of students, the art of the warrior, the art of sage and the art of the lover. So Sam, thanks for being on today. Satyen Raja 1:20 Brandon, thanks for having me. You're nice introduction. Brandon Handley 1:24 Awesome. So, you know, I usually like to start this off with the whole ideas outside. And I think you'll appreciate this, that we're, we're conduits for like universal energy, right? And whatever is coming through us today is for the listeners like highest and best good. Right? So what's coming through you today for that listener? Satyen Raja 1:43 Well, it's what you just said that we are conduits, we are the conduit. And one of the foundations of, you know, the philosophy that I am to live by is rather than seek freedom and love. Recognize we are the conduit of freedom and love, we already our freedom and love, we might not remember it, we might forget, look, you and I whoever's listening, we're free enough to step aside a few minutes in the middle of a day, how many people on the planet in the history of the planet, have even the time the energy to do so or even listen to this. So we're in a special category of beings who have the choice to go, I want to learn about being spiritually dope, I want to learn about deepening myself having more prosperity, deepening my content. So means we are already free in many, many, many, many ways. So the appreciation of our current state of freedom is valuable. And we also have to appreciate where do I have love who, where is the love? I have beautiful love with my wife, my family? My, my, my friends? My colleagues, of course, is their lack of stuff is their glass here and challenges here we all will have. And right now the challenges are magnified many fold as we know, from the planet due to all the circumstances. But can we anchor ourselves as love as freedom, rather than neurotically keep trying to seek it from stuff outside of us? Brandon Handley 3:13 Yeah, 100% I love that, right? Recognize really what we already have, and who we already are in this moment. Right? Without having to go beyond that. You know, as you're talking, it's just kind of reminds me of kind of the Buddha's story, you know, regardless of how real or true it really is. But like, you know, the idea of a woman says, saying, I want to be happy. And the Buddha is like, hey, drop the eye and the want just be, you know, happy. So it sounds a little bit like that's what you're saying, right? And again, look, it's super easy to look around and realize what we don't have. And I think that, that as a Western culture, that's what we've been trained to do. Right? With all the marketing and all the things hey, here's all the stuff you don't have you want this, that's what's gonna complete you. And so, so, you know, I love that I love what you're saying. So but here's what's cool about what you're doing right now, you've been doing this for a long period of time. And as you and I spoke about in the beginning, we connected through a mutual friend, lend right, who I've had on a previous podcast hasn't great conversations, and he introduced me to your book that is coming out. Let's see if I've got this in front of you here, the transcendent CEO, and I wanted to talk to you and share with the audience a little bit about what you're doing in that today. So let's just start off with a very thought and the idea of what does it mean to be a transcendent CEO? Satyen Raja 4:41 Well, I mean, a very blessed privileged position to be a guide and mentor, supporter of business leaders, founders, CEOs who are leading socially impactful companies that are here for the greater good. And the challenge with business leaders is we're stuck in an old paradigm of extreme reaction, greed, goal setting to achieve more and more money, more and more market gain. And you know, it's predatory. And it's almost militaristic, the idea of like, going to take over this merger, acquisition all the languaging. And the paradigm is based on a military, energetic and paradigm that is dead. If we keep going down that way, we're gonna destroy ourselves. Business leaders are some we are the most powerful people on the planet more powerful than clergy more powerful than politicians. Why? Because wielding Money, money, whether we like it or not, is a power on the planet. Now, it's not the money that's good or bad, or indifferent or neutral. It's how we use it. And how we use it is based on the depth, the resonance of our consciousness. If we're going to meet egoic state, we're going to how much money we have, we're going to correct continuously be voraciously looking for more. If we're in a weak state of being, which is the next evolution, then it's about sharing collective win win. But even that has a limit right now. The next stage of evolution, what I call the transcendent leadership, and the transcendence CEO is a leader who's become aware of the whole, they've had some type of spiritual awakening, they've had some type of Inner Awakening, where now they feel their symbiotic relationship with the whole existence. It's not a mental thing. They're not reading that we are one, they're not intuiting or hoping that Hey, are we interested, they know it, they got they've had some medicine journey. They've had shamanic experiences, they've had enlightening experiences, which have dropped the veils of separation. And now with that Omni wind consciousness, they're able to make decisions run their companies leave their personal lives, from a win for the whole of humanity. This is the next level. And I believe it's necessity. And those who aren't moving into that dimension are claiming that they're going to die, they're going to die on the vine, because that paradigm is dead. And it's self destructive. And whoever is still entertaining, it is going to reap the benefits, or I should say the destruction of that paradigm. But as you know, what you expressed at the beginning, we are in a whole new era where the transmission, the vibration is calling us into Gaia centric, Earth centric, unity. This is where we're going, this is where we're at, let's drop into it and make a difference with our businesses. So that's the that's the essential essence. Yeah, moving forward, it's about taking the path of least resistance and maximum impact, rather than will will will will willful power. We go from mule, to magician. That's, that's Brandon Handley 7:51 my Ultimate Edition. I like one of the things you threw out there a couple of things you threw out there that I found in the book that also resonated with me was the idea of the Omni win. I mean, I think we we say Win, win win. But sometimes there's a loser in there and looking for those Omni wins in these situations. That's the point we're trying to do. And as you spoke about, we we live in a culture and these corporations that you're talking is the hired mercenaries hired guns, right, you know, that we're talking about a militant state? And, you know, I don't think that you can really approach you know, something that's for the good of all, from a militant stance. Right. And so that's the stuff that you're sharing. And you talk about the Enlightened leader being necessary, right, and how that's going to be the change paradigm and how that's how we've got to move forward. Yeah, my question, I guess is, you know, is that something that you're able to help these leaders cultivate? Or is it something that these leaders have experienced? And then they're like, Well, how do I integrate this new way of being and knowing into my business? Satyen Raja 9:04 That's a great question. Brad needs both. You know, look, COVID has brought the world together. We all sharing the whole world, sharing a worldwide challenge over the last two years. Right now we've got more current challenges, wars, and all these other things going on. But that brought us together in a way seeing our humanity, it doesn't matter if you're the queen or a popper. All of us are vulnerable to these things, you know, and there's a great equalization in it knowing that in the invisible is our faith. Perhaps this is a humbling of our ego. But I think it's a good humbling and I think it's an invitation for all of us to recognize, I'm not even going to feel fulfilled unless what I'm doing. It has a good benefit for more than just myself and my family and my personal goals. It's not about becoming absolutely give everything away and treehugger and, and not have any care for your personal success. It's personal success and plus plus plus. So the paradigm I like to introduce, you know, the old paradigm was peak performance. Let's go from average in a low peak, then remove ourselves and we're able to get more done, be more effective, create more results in a shorter period of time, with more focus of who we are. Everyone focuses on the peak performance focus for too long burns out, I've seen it over and over families burning out, heads, you know, relationships, going through all types of strife and struggle, even when the businesses are going strong. Why because there's not a balance and equanimity and equilibrium of being. And so I really feel it's time that we embrace equilibrium, having a healthy family life, having a healthy body, having a healthy relationship to spirit to God to truth, to enlightened, whatever we want to call it. And then from the wisdom from oversaturation, in that our leadership in business is now wise, it's not extractive, it comes from wisdom. And this is, this is the era we're going into the era of universal wisdom, which I believe is the most important value right now to embrace. Brandon Handley 11:35 If you I mean, if you recall out what what Universal Wisdom means, like, I guess, a phrase or a paragraph, what would that sound like? Satyen Raja 11:45 Wisdom is tapping into the ancient knowing that's within us. That comes from all the wisdom traditions of east, west, north and south. There's things that masters have told us, of every ilk that is familiar, that's resonant. And those ancient wisdoms that our indigenous elders hold our elders hold from all around the world, from all cultures, we've made we've we've put a golden calf on the throne, and that success, money and peak performance, and all these things in that realm. But the wisdom shows us that peak existence is where the diamonds have lifeline. And peak existence is how is my life living, peak performance is you're going towards a goal of having more output more success in one area. Peak existence means I mean, join the whole spectrum of life being with my lady making love with my lady, taking my children out, having fun with my friends, having time to relax, and do nothing and enjoy nature and all the gifts of Mother Nature, as well as being focused on our success. And we're in an era that I've seen with the CEOs, I mentor, where we can truly have all of that without compromising at all the depth of who we are in our integrity. Brandon Handley 13:10 Yeah, that's awesome. I mean, because, again, breaking away from what we've had for the past 100 150 years, right, I think, to your point, we've seen the we saw the fractures and the fracturing through COVID. Or nobody escaped it. Like you said, Nobody got away from COVID. And, you know, what it did everybody experienced the same thing at the same time. Nobody, nobody got away from it. Right. And that burnout, and the willingness to, to try to continue as as though there were no pain, no pandemic here, nothing to see, right, everything. Everybody's everybody keep moving forward. And that really forced everybody to take a real look at themselves and get close and see themselves for who they were, and ask themselves Am I Am I living this peak existence? Like you're talking about? We don't know what's around the corner? How can I? How can I start living a peak existence? And I think that one of the formulas you give in the books is the five pillars right in the five s? Watch. Is there a little bit about those? Because I think that I think that those are kind of core when essential to not just the peak existence of a CEO but for any life. Satyen Raja 14:23 Absolutely. So one of my mentors, Kevin nation's business mentors, he shared with me his philosophy of these F's and and so faith, so I call them the I call them the freedoms, faith, family, finance, fitness and fun course you can add more apps to that. But faith is our spiritual connection to ourselves, our belief in ourselves, our belief in the higher power, our connection to the universe, is how connected we are to the synchronous flow of existence is what I call faith. It's very valuable to cultivate. Family of course, you know, we can enjoy all the riches of life. But if our family life if we're not having beautiful relationship and flow in our, with our intimates with our family members, there's an emptiness of life, there's an ache, because our home base is not there. So fostering and putting family people see which one you put first I go, I don't faith, family finance, fitness and fun. Our threads have a strong rope. Any one of them are weak. If you put pull on the rope, it'll break. Each one has to be healthy faith, family finances. There's a lot of focus on earning. But what about saving? What about spending? What about investing? What about dealing with your money from a place of the doubt that there's infinite, but and that you don't own anything, that we're just a steward of all our belongings and our money as we're here that stewardship energy is a very wise way of approaching it, it takes us out of the ego at faith, family finance, fitness. Our bodies are a vessel for our spirit. When we feel strong and healthy and alive and vital. To make love more, we're seeing more, we're respected more, we feel better about ourselves. And we got more energy to fulfill life, faith, family finance, fitness and fun. This is one of the ones I had to work on is a very focused individual. Now, before that, I would burn myself out years back. Now I make sure in my week, every night every day, I've got fun going on. Fun than this and fun with my wife and with my friends fun with my kids fun by just by myself. So when we have these faith, family finance, fitness, and fun, and we water each one like a garden, they all grow together into 12 into a inter weave into a very powerful rope that's unbreakable. And we can scale that all the way up to heaven. Brandon Handley 17:10 That's awesome. And, you know, I think that one of the things that, you know, knowing about you is a strong background in the martial arts was I think, you know, just has always kept you probably connected into at least some type of reflection, even though at certain points sounds like you, you went real hard, right? And just life in general. And I think that that's just kind of that's kind of the path, right? That's kind of this, this is what everybody tells you, you're supposed to do. Santana go go hard, go strong. Don't stop until you sounds like a Michael Jackson. So I'm gonna stop. So you had enough. But you go strong. And you find yourself you know, looking back and like what was all this for? Because you you find that you maybe you lost touch with your face, you find touch that you maybe lost touch with your family, and the fun. Maybe you've had a success and you're fit but like there's this vast amount of emptiness. But uh, you know, I know that last I read at least you know, you've you've got the Brazilian Jiu Jitsu, which I think that as we go, I practiced this myself and I love it. I don't think jujitsu. Yeah, listen without it. Listen, listen, 530 in the morning, you know, I jump out of bed and I make that part of you know, three days, three days a week, it's 530. In the morning, I'm on the mats, you know. And this, I love it. Because there's no ego there, right? There's no ego, you're you can't be in any better state of flow than when you're trying not to get choked. Right. And you know, as we're as we get older, we're still able to do this. And this is another place where we can put into practice maybe slowing down and teaching others Hey, listen, sure, you can go super fast and get it but maybe you're relying on your, your piss and vinegar as it were right. Versus like technique and just a practical, purposeful application. And again, this is stuff that I'm seeing you teach in the transcendent CEO, right. So when you approach are people approaching you or you going to companies and pitching I'm just kind of curious what this looks like from, you know, not necessarily even a business perspective, but how are you being approached and how's this I transcend the CEO reaching the ears of CEOs that might be willing. Satyen Raja 19:22 Most of my clients are all by referral. They've heard me on a talk or heard me somewhere, or I've shared on the stage for I've expressed in a conference. You know, like I invited do keynotes and such and, but, you know, I've been very blessed to have you know, my focus has not been on marketing. So this is for anyone in business. My focus has been on serving my clients so they have exceptional experiences, and results in their own personal lives, which then become a 10 times better marketer than anything I I could write or market or put out in ads and all that. That's because that's me, that's what's worked for me. For me, I just take my heart, my soul, when I have my clients, I want to flush out their dreams or aspirations, I want to take a look at the good, bad and ugly, what's working, what's not, where's their shadow, where's the ship, they don't want to look at and go right for that fearlessly. And then take them there. Why? Because as leaders, we got to we can't bullshit around with our shadows, we got to strengthen them, we got, we can't put them aside and show our shiny successful side. And inside, we got termites in our, in our cart or in our consciousness, right. So because I have that, how can I say, ferocious love to accept only the highest in those I work with, because I know they've got missions that are valuable, I don't bullshit with them. And I believe that my experience has been that attitude of love with fire, with care. Seeing the results in their life, that's where I put all my deepest investment on, and I trust the universe. In the return that results of that. Brandon Handley 21:17 That's awesome. And I love reading some of the stories in the book of you hanging out with Stuart while to write like so. I mean, you've had some really connections with some cool people, you've had this great journey, and you're able to share this with others to, you know, look, create connections to leaders, and oftentimes, you know, I think it's great look, for everybody to experience, you know, some type of enlightenment, some type of awakening some type of spirituality, right, like, you know, definitely connects with your all your five, right, your faith family, you know, but one of the things that I think is most neglected throughout, again, Western culture, and just speaking primarily from experiences face, right, and the spiritual connection, we're like, Listen, I'll get to that, like when I'm dead. Right. Like, I'm willing, I'm willing to, you know, gamble on the deathbed with that one. But I think that, you know, that's, that's too late, personally, and so, you know, having a CEO speak to you, you know, from that level, opens that up for the company, or the people that are, you know, within there to just say, wow, you know, if he's doing it, and he's talking about it, and he's sharing it, I might need to check this out. Right. Is that kind of the idea? Yes, yeah. Let's hear more about it. Satyen Raja 22:37 We follow people we trust, we follow people that are demonstrating lifestyle lifestyles that we value. There's a lot of great operators, a lot of bullshit con folks. There's all types of talk, talk talk. We've got Tech Talks every weekend going on great talks, who is doing the walking? Are we doing the walking? Are we doing the talking? So one of the things is to discern what's a talker, who's great at oration, and who's embodying and living it. My only concern is that we live these ancient principles and where I start, and everyone is invited to this, I believe a foundational start, is awakening to your true nature, the spiritual side. Now, faith to me is not belief in something that I don't know of. Faith is having an experience, of divinity, of union of truth, of that of essence, if you will, of enlightenment, from the experience orienting our life, to become Gerland with the truth of who we are not the identities. The shallowness is of ourselves, or the, if you will, the wobbliness is within our own psyche, but identified with the essence and you know, all the leaders, I take through the coaches that we got different levels, right I have, I've got about 300 coaches in my organization. And the first thing that we do with our clients is we take them through what we call kinjo ke NSHO. That comes from Japanese Zen tradition. And it's a process which helps people dissolve the barriers of what they're not and who they're not, and come into their true nature. Like for the first time, they wake up to know who they are, I am. Once you have that essential experience, everything you do if you're a business leader, you're a father, a mother, an athlete, you're an everyday person working, everything will be far more deeper, harmonious and connected to the universe, because you've discovered who you are. So that's an essential I'm going to recommend and challenge invite everyone to experience Brandon Handley 24:52 so as you would recommend that they check out what Kensho is or do you have something else that would help them to dissolve those barriers, right? Yes. Satyen Raja 24:59 Absolutely, and they can download that free on our warrior sage.com website, we've got three activations one is called fight. One is called the abundance activation. It's a one day complimentary, totally free, no strings attached seminar that you do at home with your beloved's friends, family members. There's another one called relationship activation to really up level your emotional IQ and your skill sets in all relationships, including intimate. And then the power activation is awakening your enlightened power, not the power of the ego, it's dissolving, it's enlightening, and all that's available, absolutely free, you can download it, experience it for yourself, it's less lecture, and it's exact guided processes. So get a friend, family member, a spouse, a child do with each other, and you see the results. Okay. Brandon Handley 25:51 Now, I love that. And a couple things in what you're saying here, too. I don't know if you blanked out and on the I am when it becomes too like who you are. Because it's almost ineffable, right. Like, it's this type of thing where like, you find out who you are. And that's it. There's, I think you talked a little bit earlier in the beginning, there's a there's a knowing, right, there's, there's no disputing what had happened. In that moment of awakening, of accessing realization, activate whatever you want to call, like, there's so many different ways you can do it. But like, once you're there, and you hit it, you're like, oh, shit, right, like everything. There's a big ol, like, everything just kind of moves to the left or whatever, right, like everything. In that moment. Everything is different. And even then, and I think that I think that a big challenge for a lot of people is to realize, you know, the awakening, that's just the start. Pray, I mean, like, the awakening is just like, Okay, you just got here. Thanks for showing up. Satyen Raja 26:59 When we go to bed at night, right, we sleep. When we wake up in the morning, it's not the end of the day, the waking up is the beginning of the day, right Brandon Handley 27:06 first? Yeah. 100% 100%. And I think that there's a challenge to a couple of things that you're saying. It's like, again, not power isn't an egoic sense. I remember. And this was I was just beginning, even just the podcasting and feeling, feeling encouraged to step into myself, right when I am stepping into, say, stepping into my power and talking to peers and said, you know, wouldn't it be great if you could step into your own power into your own greatness or like, wow, I'm not great. And so what is it that is keeping people from accepting the truth of who they are. Satyen Raja 27:46 It's the attachment to the identities that keep us safe, secure, and huddled in the known. Okay, safe, secure and huddled in the known to discover who we are. We have to have the willingness to go I know who I am already. I'm a father, I'm a husband and this and that of that I'm a friend of someone, I'm a son of my father. Those are all identities, all labels, your schooling your education, as you shared when one discovers who they are, it's like a spiritual soul orgasm, a recognition of who I am. That goes beyond words. It's beyond this world beyond this earth plane. There's no words for it. But we can talk about it I can talk about orgasm but if you haven't experienced orgasm, it's so much more than that what can be spoken about even you can talk volumes on it but one experiences profound in the same way waking up or what the Japanese called Kensho or in India Yogi's call it Samadhi in English we can call it the direct experience or the direct consciousness of your of who you are and what you are. So we call it the our I am this we can hear it. You can meditate you can do mantras or I am you can feel the center of I am this but it's not full enlightenment. It's that it's not a full awakening. Brandon Handley 29:17 Right there's a there's like I I consider myself awakened but I don't consider myself enlightened. Yes, right. So I mean, but I would still consider awakened just a different plane than I'd had existed before. Right as no better no worse. And it's look everybody's a Buddha, right? Like I get it like it resides in everybody. But there's still there's still more right? I just wanted to call that out, right? Like I don't Satyen Raja 29:45 in Japanese. In the zip tradition This can show or the initial waking ups. And Satori is a term given to sustain enlightenment which comes after maturation guidance, support or after the initial awakenings that so Satori represents the sustained state. And there's depths of that as well, right Brandon Handley 30:10 now, and I say, I don't know, right, like I'm my first time through. So, you know, so I guess the question I would have to write let's, you know, gain transcendence SEO, I think what you're doing in this is really awesome. Do one of the things that in the book, you recommend to use it as almost an Oracle? Right? You kind of open it. I don't know, if you mean Oracle, similar to like the eaching, you kind of open it and you get to a point, you're like, hey, what's on my mind at work? Today? Think of a reflective question something that's, you know, hard on me, opening the transcendent CEO book and be like, Oh, here's some stuff that I could work on. This is this is indicative of what I'm going through? Oh, here's some answers on how I can apply this. Satyen Raja 30:54 Right? Absolutely. You know, I designed it as an Oracle, anyone who is in business, or you're interested in leadership, or a leader, you're might not be a CEO, or founder, CEO. But we all are leaders, you might be the CEO of your household. You might be the CEO of yourself. Right? So this book goes into these principles, you can open it anywhere can incite reflection stories, wisdom, attunement. So it is like an oracle or an eaching, or a tarot deck. Easier to read that way. That way, you don't have to start getting to the end. Brandon Handley 31:34 For sure, and so of the people that you've shared this with and have worked through with, what would you say, has been the largest impact or Aha, teaching out of this book for for some years. Satyen Raja 31:50 It's what I said earlier meal to magician. tendency is in the wet in the whole world is to be overly willful, especially in leader ship positions, willful willful Drive, drive, drive, keep going take a breather, drive, drive drive, and it produces results. You know, the old paradigm, massive action equals massive results, it's a great paradigm. What we don't hear is also equals massive burnout. Behind the scenes, we don't hear about people exposing Crush It, massive it, right, right. When you say that, you'll end up being crushed, I've seen it over and over and over, every person that continues down that road, always has some backfire a boomerang backlash, some on physically, the relationship, something pans out, they get some they get burnt out, and they don't know what's going on, or they lose their fire. So the paradigm of going from hard work to a transcendent leader is the trans transition. And to deal with that we have to deal with our we have to transform our addiction to doing we have to transform our addiction to control. And, and and when we do that, in fact, the control and the commanding becomes 100 times stronger. You become like Archimedes, you get you're able to lift the whole world up with this with a lever, because you're not using willpower, you've made your internal lever so powerful, right? That's the key. That's a good formula to magician. And that's, I think, the essence of this book. Brandon Handley 33:34 And you've also got, you know, transcendent culture, which is the companion book with this. And to be honest, I haven't had a chance to jump into this one just yet. But, you know, is this where the leader can kind of refer to and how to grow and nurture their, their people talk to us a little bit about the comparison. Satyen Raja 33:52 Yeah, exactly. You nailed it, Brandon. So the transcendence seals for yourself and your own mastery and leadership, transcendent cultures. Now, how do you bring that into your teams, they bring in your family, your team dynamics, whether your team is 2345 or 1000. This we've always sages also chief, a cultural adviser for numerous companies. And we also bring in programs of coherence taking teams that are in chaotic state into coherence in less than two hours. That's powerful. That's part one of our reputations and fame and claim to fame is that we take the most ragtag crazy wild set of discontinuous and chaos filled teammates in a zoom call for two hours, we can really literally dissolve the major obstacles that got in their mindset and get them aligned and coherent and moving forward in a good way. And that to me, I believe human dynamics is the essence of and supporting the Hello in the happiness and the joy of healthy human dynamics in an organization, that's the key to making them grow. And 20 100x, which now I've seen with the companies, I mentor, many fold TEDx as a minimum that happens to them over over the time they work with me. Brandon Handley 35:19 Sure enough, super powerful. And I think that, you know, science is proving out, you know, a lot of what you're saying how you put people in this state of being, you can expect to have these type of returns the, the old fear and, and again, militant, you know, crack the whip or whatever, you know, run them down, run a run to the ground. Sure, to your point, we can get results that way. But, you know, you're gonna toss that one out and go get a new one. Or they'll quit. Satyen Raja 35:44 Right, right. Turnover churn rate. Brandon Handley 35:47 Right? So hey, Satya, I always been awesome. And I love it. I know, we don't have too much more time left. What, uh, what I got here for you is the fun portion of the podcasts. And it's what I like to think about is that this is a little bit like spiritual speed dating, right? Like somebody's gonna tune into Satya as podcasts, they're gonna be like, well, do I feel like spiritually dating site 10. And what he has has brought out for us today. And to that end, I've got a couple of questions, I'd like to ask you, you ready? Please? All right. And I know you're married, but spiritual Bachelard. Number one, you know, why are so many people depressed. Satyen Raja 36:25 They don't know what their true mission and purposes are. They're denying it, or they're avoiding it. Because even when you find what you're what you're really here for, right? And the way to ask, the way to know that is take some time, get a journey going or go for a walk, sit down at a river sit down in nature underneath a tree, pick a few hours, universe, me and my soul. What is mind to do now? What is not mine to do now in the world? Have a sheet write down what is mine to do? What is not mine to do? What is mine to do? What is not mine to do? Do that for an hour or two, you'll get more honed in to your center of what you're here to do when you do the depression will start to alleviate Brandon Handley 37:11 now. And, you know, that's also one of the exercises in the book, if I recall correctly. And so there's more more like that in the book. So thanks for sharing that. You know, then that reminds me to the call of the hero, right? Joseph Campbell's called the hero, right? If you find out what your purpose is, and you kind of reject it, it's just kind of keeps nagging at you. Right? And it keeps following you around. Like I'm still here, you still got your thing to fulfill. We talked about this? I don't know. I'm not a soul contract guy. Because I don't know enough on it. But But soul contracts, right? Say, Hey, we said we're gonna do this. And we showed up. So thank you for that answer. What is the relationship between science and religion? Satyen Raja 37:53 Well, in this day and age, all the lines are blurring, and science, philosophy spirituality are getting closer and closer together. Because we're noticing that universal laws or universal laws, doesn't matter what spectrum you're in. And I believe science. As we go deeper into the quantum mechanic dimension, it sounds more and more closer to spiritual dimensions. And one day, I believe will be a place where there's no distinction, where it's just a universal science that takes into account the observer, the subject, relationship, and all of the whole spectrum of the game. Brandon Handley 38:34 Yeah, I think it's been a lot of fun to watch them converge over the past couple of years. I don't know about you how kind of excited you are. When something comes out. You're like, oh, I can go to somebody and be like, it's not all woowoo here it is. I've got something for you. Right. Satyen Raja 38:49 But some of my top CEOs are like, some of the world's most brilliant scientists, like scientists, AI genius is a biotech geniuses I'm talking geniuses, right? But when they get the taste of the spiritual flavor and the awakening, they're like, Wow, the maturity of their science goes to a whole new level. Wisdom informs science. Brandon Handley 39:14 Sure. There's a correct me if I'm wrong, like I mean, there's a you know, what's the opposite of constriction? Right, there's a release, right? Because they've been going through constricted and they've been going through like, forcing and if they can sit back, release, relax, and I guess you receive, right is kind of how it works out. Well. Hey, Satsang has been so much fun. Is there anything else that you wanted to share prior to sign off today? Satyen Raja 39:39 Well, you know, I'm just very grateful for you your energy, the good work you're doing out in the world. Thank you for sharing and asking me these great questions and everyone who's listening. You're welcome to come to our website, Warrior sage.com. And there's many, many different teachings and interviews with all the great CEOs there a lot of inspiration, and it's just been a pleasure, my friend. And let's let's keep banding together for the greater hole right now. Okay, Brandon Handley 40:04 I appreciate it Santana thanks for being on today. Satyen Raja 40:06 Let's brother be well I Unknown Speaker 40:09 really hope you enjoyed this episode of the spiritual dope podcast. Stay connected with us directly through spiritual dove.co You can also join the discussion on Facebook spiritual though and Instagram and spiritual underscored. If you would like to speak with us, send us an email there Brandon at spiritual dove.co And as always, thank you for cultivating your mindset and creating a better reality. This includes the most thought provoking part of your day. Don't forget to like and subscribe to stay fully up to date. Until next time, be kind to yourself and trust your intuition Transcribed by https://otter.ai

Today, you'll spend your time intelligently on this show with Roger Luri, as he uses his extensive background in real estate to give us more knowledge about the development side of the business. By listening to this, you'll better understand new buildings, existing and underperforming properties in terms of profitability, and more comprehension of the multifamily space. Join the expert in this episode!Key Takeaways To Listen ForInsights on the current real estate environment for building new constructions vs. buying existing propertiesA great and easiest way to get started in multifamily What makes value-add deals and underperforming properties more profitable?The significance of knowing your market regardless of the niche, asset class, and strategyEssential role of an architect in the construction businessHow you can protect yourself as an investor in times of a market downturnResources Mentioned In This EpisodeDon't Buy a New House! Build it by Roger Luri | Paperback Don't Buy a Multi-Family! BUILD IT by Roger Luri | Paperback Free Apartment Syndication Due Diligence Checklist for Passive Investor About Roger LuriRoger Luri lives in Chicago with his wife Christine and two teenage sons. “Growing up in Chicago, I've been intrigued by architecture and building since I was a kid” “I wrote "Don't Buy a New House! BUILD IT and Don't Buy Multi-Family! BUILD IT" to help investors to understand the advantages of building new construction properties and to learn the process for themselves. So many people invest substantial portions of their net worth in real estate without ever thinking through their strategies. They get help from brokers to complete their transactions, but don't ever get the help they need to plan their investments effectively.” Roger has been in the real estate and development business for well over 30 years. His companies have specialized in home building, real estate development, general contracting, architecture & design, and real estate brokerage. He formerly served as a director on the board of Ravenswood Bank. Roger's other passion is martial arts. He began training in the early 1980s. He and his wife Christine founded and operated Kensho Martial Arts in Chicago from 2011 to 2020. The Kensho team provided life-changing training programs for kids and adults of all ages. “Through my martial arts training and teaching, I've been fortunate to connect with awesome people from all over the world and learn from some incredible instructors. I'm extremely grateful for my extended martial arts family”.Connect with Roger Website: LD2 Development Inc.To Connect With UsPlease visit our website: www.bonavestcapital.com and please click here, to leave a rating and review!SponsorsGrow Your Show, LLCThinking About Creating and Growing Your Own Podcast But Not Sure Where To Start?Visit GrowYourShow.com and Schedule a call with Adam A. Adams.

Today is an episode focused on the realness of becoming an entrepreneur / building a brand in the health + wellness space. Ryan shares some REALNESS in the intro, pulling back the curtain a bit to share what it's been like building Your Hormone Balance over the past 4+ years...SPOILER: It's not been easy!! Our guest is Krista, Co-Founder of Kenshō Health. We dig deep into her journey from multi passionate student from Eugene, to the start of an extremely successful career before she even graduated college! Like most entrepreneurs in the health and wellness space, Krista experienced her own major health struggles, which really became a turning point in her life and ultimately led to the birth of Kensho health- which started as a high-touch service providing patients with personalized provider recommendations in the functional / integrative care space, based on symptoms and health goals. But based on user feedback, extensive research, and bringing on Classpass's former CEO Michael Wolf as an advisor, Kenshō decided to move into the Health Coaching space. Kenshō now offers a proprietary health coaching program that pairs members with elite certified Kenshō Health Coaches to drive awareness around health goals, put these goals into action, and hold them accountable along the way. CONNECT WITH KENSHO HEALTH https://www.kenshohealth.com/homepage @kenshohealth CONNECT WITH US Shoot us an email! Solo2.0podcast@gmail.com Send us a DM! Solo 2.0 Podcast on @SOLO2.0PODCAST Follow Rye on Instagram @ryeburch and Jess @bodyblissbyjess

Hi there Classical Gabfest Listeners, this is Will, and I'm afraid we don't have a regular episode for you this week. Longtime listeners to the show will know that Tiffany and Kensho and I all met at the Pierre Monteux School, which is a summer music institute focused on orchestral conducting and playing. Unfortunately, earlier this week, the school's director, Michael Jinbo, died suddenly, and as Michael was a beloved teacher, mentor, and friend to all three of us, we decided not to produce an episode this week.As a brief tribute, I wanted to say a few words about our teacher:Maestro Jinbo was only the third-ever music director of the Monteux School in its 79-year history, succeeding his own teacher, Charles Bruck, and before him, Pierre Monteux himself, whom some of you may know was the conductor of the world premieres of The Rite of Spring and Daphnis and Chloé, and who performed Brahms' string quartets for Brahms himself, among many other accomplishments.Maestro Jinbo was proud of the school's tradition, but he was very much his own musician and a great musician at that. Maestro Jinbo was not a famous conductor, but he was famous among conductors. We marveled at his crystal-clear technique and his deeply felt, uncomplicated musicality, and I know for a fact that videos of his conducting (which he would never allow to be released) circulated privately among his admirers. In rehearsal, he was totally unfussy and to-the-point. He always preferred to show and rather than to tell, but whenever he did say something about the music, it was invariably insightful, witty, and inspiring.Of course, my co-hosts and I, and many, many others of his students will remember Michael for his abilities as a teacher. He combined uncompromising honesty with a deep care for each of his students as a human being, and he taught to each student individually. He didn't waste time and he went immediately for your weaknesses, not to demean you, but to strengthen you.Above all, Michael Jinbo taught us to be our true selves, both on and off the podium. He never tried to mold us in his own image, rather he helped us to strip away our excess baggage and taught us to honor the essential core that remained. And that's just about the greatest gift that any teacher can give you.It's hard to find recordings of Michael's work, but I did find a beautiful one on YouTube, in which Michael is leading the Nittany Valley Symphony of Pennsylvania, of which he was also music director for several decades. This is a recording of the “Meditation” from Jules Massenet's opera Thaïs, featuring violinist Max Zorin, which I offer as this week's mixtape suggestion. Rest in Peace, Michael.CLASSICAL MIXTAPEMassenet, Thaïs: “Meditation”Nittany Valley Symphony OrchestraMax Zorin, violinMichael Jinbo, conductor

This episode is part of our series in collaboration with the hosts of the Classical Gabfest Podcast - conductors Tiffany Lu, William White, and Kensho Watanabe. Please go check out their show, and their episode featuring us! -- Emerging onto the international stage, Kensho Watanabe is fast becoming one of the most exciting and versatile young conductors to come out of the United States. Recently recognized as a recipient of a Career Assistance Award by the Solti Foundation U.S, Kensho will make his Metropolitan Opera debut next season, conducting Kevin Puts' The Hours. Assistant Conductor of The Philadelphia Orchestra from 2016 to 2019, Kensho made his critically acclaimed subscription debut with the Orchestra and pianist, Daniil Trifonov, taking over from his mentor Yannick Nézet-Séguin. He would continue on to conduct four subscription concerts with the Philadelphia Orchestra in 2019, in addition to debuts at the Bravo! Vail Festival and numerous concerts at the Mann and Saratoga Performing Arts Centres. Recent highlights include Kensho's debuts with the London Philharmonic and Tokyo Philharmonic Orchestras, Orchestre National du Capitole de Toulouse, Rhode Island Philharmonic as well as his Finnish debut with the Jyväskylä Sinfonia. Kensho has also enjoyed collaborations with the Houston Symphony, Royal Scottish National Orchestra, Detroit Symphony, Brussels Philharmonic and the BBC National Orchestra of Wales, the Seiji Ozawa Matsumoto Festival, and the Orchestre Metropolitain in Montreal. Equally at home in both symphonic and operatic repertoire, Watanabe has led numerous operas with the Curtis Opera Theatre, most recently Puccini's La rondine in 2017 and La bohème in 2015. Additionally, he served as assistant conductor to Yannick Nézet-Séguin on a new production of Strauss' Elektra at Montréal Opera. This season, Watanabe will conduct Mozart's Le Nozze di Figaro at the Seiji Ozawa Music Academy. Watanabe has previously been the inaugural conducting fellow of the Curtis Institute of Music from 2013 to 2015, under the mentorship of Nézet-Séguin. An accomplished violinist, Watanabe received his master of music degree from the Yale School of Music and served as a substitute violinist in The Philadelphia Orchestra from 2012 to 2016. -- We're super excited to announce that we're piloting a database of opportunities for creatives like you! The database features scholarships, grants, internships, & more. It will be updated monthly with new links, opportunities, and deadlines. All you have to do to access the database is sign up for our newsletter at creativebaggagepodcast.com --- Support this podcast: https://anchor.fm/creative-baggage/support

On this episode of Mind Bodega, Junius gives more insight into how Kensho changes the way you experience things. He also reveals how Meditation helps you deal with life stressors and then he talks to life coach Hydeia Muhammad who explains the importance of getting a life coach and then how to use your journal to write affirmations.

In this episode I am once again joined by Stephen Snyder, meditation teacher, author, and the first non-monastic Western man to master the virtuoso-level shamata meditation system of Pa Auk Sayadaw. In this interview we discuss Stephen's latest book ‘Demysifying Awakening: A Buddhist Path of Realization, Embodiment, and Freedom'. Stephen gives detailed comparisons between the maps of Theravadan and Zen Buddhism, explains the difference between Kensho and Satori, and reveals why it is so easy to stall after an initial awakening experience. Stephen also shares techniques to open the Wisdom Eye, loosen allegiance to the body, and transcend the superego; and reveals how he assesses others spiritual experiences and how an individual can self-assess their own level of awakening. … Video version: https://www.guruviking.com/podcast/ep141-demystifying-awakening-stephen-snyder 
Also available on Youtube, iTunes, & Spotify – search ‘Guru Viking Podcast'. … Topics include: 00:00 - Intro 00:51 - Why is Stephen writing so many books? 05:42 - What is the probability of awakening? 08:46 - Kensho vs Satori probabilities 11:06 - Languishing between Kensho and Satori 13:57 - Self-administered tests of awakening 15:37 - How Stephen assesses his students' awakenings 17:39 - Opening the Wisdom Eye 20:27 - Energetic resonance of awakening 21:31 - Facsimiles of awakening 23:53 - Confusion around awakening 30:09 - Rebirth, reincarnation, and tulkus 33:00 - Superego and trauma 39:43 - Purifying the body via the four elements 45:44 - Stephen's experience of the crystal body 48:06 - Loosening allegiance to the body 49:37 - Resistances to jhana and awakening 54:05 - Steve's practice challenge 58:16 - How to work with intensity and blocks 01:02:09 - The will to live 01:05:17 - Boat meditation 01:06:15 - Comparing the maps of Theravada and Zen 01:13:29 - Fear of No-Self 01:16:32 - Integrating the No-Self 01:19:31 - Koan practice 01:23:16 - Flavours of enlightenment 01:27:24 - Keeping a spiritual journal … Check out my previous interviews with Stephen: - https://www.guruviking.com/ep24-stephen-snyder-a-stroke-of-realisation-guru-viking-interviews/ - https://www.guruviking.com/ep33-stephen-snyder-pandemic-edition-guru-viking-podcast/ - https://www.guruviking.com/ep70-stephen-snyder-buddhas-heart/ Purchase ‘Demystifying Awakening': - https://awakeningdharma.org/book/demystifying-awakening/ 
To find out more about Stephen Snyder, visit: - https://awakeningdharma.org/ For more interviews, videos, and more visit: - https://www.guruviking.com/ Music 'Deva Dasi' by Steve James

This week, we preview our collaboration with the Creative Baggage podcast. Tiffany's interview drops today, so give the full episode a listen and subscribe to hear Kensho and Will's interviews in the coming weeks:https://anchor.fm/creative-baggage/ And while we're at it, Will's episode of the Moveable Do podcast also dropped this week:https://anchor.fm/moveabledo/ CLASSICAL MIXTAPEThe full playlistRoyer, “La marche des Scythes”THINK YOU CAN STUMP US? GO AHEAD AND TRY!Google Form for “Name that Tune: Stump the Hosts Edition” You can reach us at classicalgabfest@gmail.com and on social media:FacebookTwitterInstagram

Joining us in conversation today is Bryan Menduke, head of recruiting at Kensho. Tune in to hear all about his journey into the world of recruitment and the ins and outs of his work at Kensho. We talk about the difference between working for large and small companies, and Bryan assesses the state of operations at Kensho, from communication to a profile of the type of person they are looking to hire. We talk about all things interview-related, from determining if a client's values are in alignment with the company, to training staff to conduct these kinds of conversations. Learn what shadowing can show you that an interview can't, hear Bryan's advice to folks who are just getting started, and so much more. Thanks for joining us!   Key Points From This Episode:   An introduction to today's guest, Bryan Menduke, head of recruiting at Kensho. Some insight into Bryan's education and career thus far. Why he wanted to make the move to work for a smaller team. The tradeoff between the resources of a big company versus the agility of a small company. His assessment of the state of operations at Kensho. Defining what you are looking for when it comes to acquiring new talent. Standardizing feedback through forums, unit tests, checklists, and more. Communication and hierarchy at Kensho. Why they are looking to hire people who aren't afraid to fail. Determining a candidate's alignment with company values. The process of interview training at Kensho. Why arming an interviewer with specific questions for behavioral and technical interviews is essential. The role of shadowing, why it is important, and what it can determine outside of an interview. What the process of revamping the interview rubric looks like. Bryan's advice to people who are just beginning the process: start by finding the biggest gap.   Tweetables:   “How do you get into recruiting? The answer is, I have absolutely no idea, I just do it now. Anyone that tells you differently is probably lying.” — Bryan Menduke [0:02:55]   “I joined a small team because I think there's a lot of ability to innovate and take on a lot of things outside of just a really small scope that you get in some larger companies.” — Bryan Menduke [0:04:33]   “There's way more than just what a job description says and what you're looking for in a role. How do we actually define for someone that's never interviewed before?” — Bryan Menduke [0:09:07]   “We're looking for people that aren't afraid to ask questions or aren't afraid to fail but you're going to run experiments and some of them are going to fail and some of them are going to be great, you're going to try.” — Bryan Menduke [0:13:30]   Links Mentioned in Today's Episode:   Bryan Menduke on LinkedIn Kensho Talk Talent to Me Hired

How can we navigate the confusing world of holistic health -- without breaking the bank?Meet Krista Berlincourt, an inspiring entrepreneur and co-founder of Kensho Health, a platform that makes it easy to find high-quality and affordable holistic health care. Kensho Health came to life after Krista went through her own healing journey, helping to take the guesswork out of holistic health.In this episode, Krista shares her own personal wellness journey that led to the creation of Kensho Health, and why access to health coaches can be so transformative. We talk about why whole person health is not always a linear path, how we can create more sustainable habits, finding those “aha” moments of awakening in our own journeys, and so much more.If you enjoy this episode, please feel free to rate and review the podcast on whatever app you're listening on, and share with a friend!CONNECT WITH KENSHO HEALTHWebsite: https://www.kenshohealth.com/Instagram: https://www.instagram.com/kenshohealthCONNECT WITH THE SHOWWebsite: WellnessAndWanderlust.netInstagram: www.instagram.com/wellnessandwanderlustblogFacebook: www.facebook.com/wellnessandwanderlustblogTwitter: www.twitter.com/moses_saysOTHER RESOURCESFertility Freedom Workshop: https://www.innaterhythm.com/fertility-freedom-workshopGet $25 off your purchase with code VALERIE at checkout.--- Send in a voice message: https://anchor.fm/wellnessandwanderlust/message

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: 2020 Review Article, published by Vaniver on January 14, 2022 on LessWrong. A common thing in academia is to write ‘review articles' that attempt to summarize a whole field quickly, allowing researchers to see what's out there (while referring them to the actual articles for all of the details). This is my attempt to do something similar for the 2020 Review, focusing on posts that had sufficiently many votes (as all nominated posts was a few too many). I ended up clustering the posts into seven categories: rationality, gears, economics, history, current events, communication, and alignment. Rationality The site doesn't have a tagline anymore, but interest in rationality remains Less Wrong's defining feature. There were a handful of posts on rationality 'directly'. Anna Salamon looked at two sorts of puzzles: reality-masking and reality-revealing, or those which are about controlling yourself (and others) or about understanding non-agentic reality. Listing out examples (both internal and external) helped explain cognitive biases more simply. Kaj Sotala elaborated on the Felt Sense, a core component of Gendlin's Focusing. CFAR released its participant handbook. Jacob Falkovich wrote about the treacherous path to rationality, focusing on various obstacles in the way of developing more rationality. Personal productivity is a perennial topic on LW. alkjash identified a belief that ‘pain is the unit of effort', where caring is measured by suffering, and identifies an alternative, superior view. Lynette Bye gave five specific high-variance tips for productivity, and then later argued prioritization is a huge driver of productivity, and explained five ways to prioritize better. AllAmericanBreakfast elaborated on what it means to give something a Good Try. adamShimi wrote about how habits shape identity. Ben Kuhn repeated Byrne Hobart's claim that focus drives productivity, and argued that attention is your scarcest resource, and then talked about tools for keeping focused. alkjash pointed out some ways success can have downsides, and how to mitigate those downsides. orthonormal discussed the impact of zero points, and thus the importance of choosing yours. Jacob Falkovich argued against victim mentality. There was some progress on the project of 'slowly digest some maybe-woo things'. Kaj Sotala gives a non-mystical explanation of “no-self”, detailing some 'early insights' into what it means, as part of his sequence on multiagent models of mind. Ouroboros grapples with Valentine's Kensho. I write a post about how Circling (the social practice) focuses on updating based on experience in a way that makes it deeply empirical. Gears John Wentworth wrote a sequence, Gears Which Turn the World, which had six nominated posts. The first post discussed constraints, and how technology primarily acts by changing the constraints on behavior. Later posts then looked at different types of constraints, and examples where that constraint is the tight constraint / scarce resource: coordination, interfaces, and transportation. He argued that money cannot substitute for expertise on how to use money, twice. Other posts contained thoughts on how to develop better models and gearsy intuitions. While our intuitive sense of dimensionality is low-dimensional space, much of our decision-making and planning happens in high-dimensional space, where we benefit from applying heuristics trained on high-dimensional optimization and geometry. Ideas from statistical mechanics apply in many situations of uncertainty. Oliver Habryka and Eli Tyre described how to Fermi Model. Maxwell Peterson used animations to demonstrate how quickly the central limit theorem applies for some distributions. Mark Xu talked about why the first sample is the most informative when estimating a uncertain quantity. Scott Alexander w...

Today we have a guest who is an expert from both the traditional financial services world and the crypto world, which has equipped him with the ability to bridge the two worlds and build onramps into the crypteconomy.Tom Jessop, who heads Fidelity Digital Assets, is an expert in market structure, capital markets, and crypto.There are few who have seen as much as him when it comes to the evolution of market structure.He's an OG FinTech investor, investing into FinTech before it even had that moniker.He has a knack for finding trends before they are big. He did it with FinTech – and more recently he's been on the forefront of another major trend: crypto.He's the President of Fidelity Digital Assets, where he's responsible for helping one of the world's largest asset managers build out a full-service enterprise-grade platform for digital assets.Fidelity has long been a pioneer amongst financial institutions in crypto. They started R&D efforts on crypto in 2014, started mining bitcoin in 2015, and tested their first wallet and storage solution with employees in 2016.With over $11 trillion in client assets under administration and over 2.4 million trades processed per day, Fidelity's participation in the cryptoeconomy is critical to onramp large financial institutions and wealth managers into the space. Tom leads a team that is in large part responsible for making this happen.He was previously the Head of Corporate Business Development at Fidelity, where he was responsible for identifying and executing strategic opportunities.Tom joined Fidelity from Chain, a leading provider of enterprise blockchain solutions to global financial institutions.Tom previously had an illustrious career at Goldman Sachs, which culminated with a role as Global Head of Technology Business Development, where he was responsible for investing in and partnering with early-stage tech companies across blockchain, AI, and cybersecurity. Tom was also a founding member and senior leader at Goldman's Principal Strategic Investments team, investing in the likes of Circle Financial, Kensho, Digital Reasoning, and DataFox.Tom and I had a fascinating conversation about how we can take experiences from the evolution in traditional market structure and apply those learnings to crypto market structure and DeFi.Tom is such a smart, thoughtful, savvy investor and company builder. And he's an even better person who treats everyone incredibly well.Thanks Tom for coming on the Alt Goes Mainstream podcast.

#123: Krista Berlincourt is the Co-Founder and CEO of Kenshō Health, a platform and provider network that makes it easy to find high-quality, affordable holistic care from thousands of licensed providers trusted by top health systems, all in one place.After working in FinTech for 6 years in NYC (burning the candle at both ends), Krista's body nearly shut down due to extreme adrenal fatigue in 2015. After $20K in medical bills but no resolution, she sought a different path. Her healing journey was long and varied (e.g. living with Shapibo shamans in the rainforest, studying with a Dutch Naturalist in the Galápagos, practicing panchakarma in India), and she eventually relocated to Los Angeles and launched Kenshō in Feb. 2020.Kenshō was born out of Krista's own frustration navigating the holistic health sphere, while trying to heal the adrenal fatigue that left her hospitalized. Having just closed on a $3.5M seed round, Kenshō is poised to shift the way we explore healthcare options with their personalized curation platform. A special thank you to Magic Mind for sponsoring this episode. Magic Mind is the world's first productivity drink that helps me with maintaining laser focus and energy and improving my workflow. It's tasty and full of natural ingredients including matcha green tea, turmeric, and more. Enjoy 20% off your purchase with code "FULFILL20" at www.magicmind.co/fulfillEnjoy an exclusive 10% off the What Fulfills You? Card Game for podcast listeners only with code "WHATFULFILLSYOU10" at checkout on our website at www.whatfulfillsyou.comGrab a copy of the career ebook guide, The Everyday Girl's Guide to Career Success. Shop now at www.whatfulfillsyou.comFollow Kensho Health on Instagram: https://www.instagram.com/kenshohealthLearn more about Kenshō at https://www.kenshohealth.com/Follow the What Fulfills You? Podcast Instagram: https://www.instagram.com/whatfulfillsyouFollow Emily Elizabeth's Instagram: https://www.instagram.com/emilyeduong/Read more on the blog: https://emilyelizabeth.blog/Support this podcast at — https://redcircle.com/what-fulfills-you-podcast/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

About The Guest Vishen Lakhiani (@vishen) is the co-founder at MindValley, entrepreneur, and author. His book ‘The Code For The Extraordinary Mind' is a New York Times and Amazon bestseller, and he happens to be one of the most innovative minds in personal development. Goal setting feels very intimate and obvious, but it is among the most complicated parts of one's life. In this podcast, Vishen breaks down his strategy for setting meaningful, achievable goals that ultimately lead to you making better choices, achieve better results and living a more enjoyable, fulfilling, life. What We Talk About - What are the two main types of goals in terms of fulfillment - Kensho and Satori moments - Discovering your goals - The three-step goal identification process Show Links https://twitter.com/vishen https://www.instagram.com/vishen/ Connect With Natasha https://www.instagram.com/natashagrano/ https://natashagrano.net/ Show Sponsor https://betterhelp.com/attraction

Krista Berlincourt, used her career in strategic advertisement and start-ups to create Kensho, a company focused on bettering the lives of people by making wellness experts accessible. She is the CEO and co-founder of the innovative and groundbreaking online health platform that works to guide and educate people through the bast world of natural medicine.Tune in to hear her talk everything about creating a close-knit company culture, what it takes to be a successful female CEO, and the importance of finding the right business partner.Please subscribe above to be notified of our new episodes.  I put together a Free Top 10 Checklist for Every Entrepreneur.  Click here to get your copy: https://thebadassceo.com/tips-for-every-entrepreneur/ ‎To learn more about our podcast guest, click here:https://thebadassceo.com/making-natural-medicine-accessible/If you enjoy this podcast, please help support the the podcast by using the link to our sponsors and companies I use for my business.  I receive a small percentage for each sale.  Thank you so much for your support!!http://thebadassceo.com/tools/Follow us on Instagram at:https://www.instagram.com/badass.ceo/

This week, we start out with a rousing round of Listening Limbo and then we proudly present Kensho's interview on the Podium Time podcast with host Jeremy D. Cuebas.PODIUM TIMEKensho's EpisodePT on Apple PodcastsCLASSICAL MIXTAPEThe full playlistTHINK YOU CAN STUMP US? GO AHEAD AND TRY!Google Form for “Name that Tune: Stump the Hosts Edition” You can reach us at classicalgabfest@gmail.com and on social media:FacebookTwitterInstagram

The last year has seen a maturing of the use of Artificial Intelligence and Machine Learning (AI/ML). It's also been whipsawed by the pandemic. Peter Licursi, product manager for the Natural Language Processing team with Kensho and Nick Patience, a 451 Research founder and research director for the AI Applications and Platforms practice, join host Eric Hanselman to discuss how AI/ML use is changing. There's more cloud and less need for data scientists, it turns out, for those doing it right.