Podcasts about Chai

"Blurring Reality" - Chai's Social AI Platform - sponsoredThis episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream adoption. With over 10 million active users and just 13 engineers serving 2 trillion tokens per day, Chai discovered the massive appetite for AI companionship through serendipity while searching for product-market fit.CHAI sponsored this show *because they want to hire amazing engineers* -- CAREER OPPORTUNITIES AT CHAIChai is actively hiring in Palo Alto with competitive compensation ($300K-$800K+ equity) for roles including AI Infrastructure Engineers, Software Engineers, Applied AI Researchers, and more. Fast-track qualification available for candidates with significant product launches, open source contributions, or entrepreneurial success.https://www.chai-research.com/jobs/The conversation with founder William Beauchamp and engineers Tom Lu and Nischay Dhankhar covers Chai's innovative technical approaches including reinforcement learning from human feedback (RLHF), model blending techniques that combine smaller models to outperform larger ones, and their unique infrastructure challenges running exaflop-class compute.SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers in Zurich and SF. Goto https://tufalabs.ai/***Key themes explored include:- The ethics of AI engagement optimization and attention hacking- Content moderation at scale with a lean engineering team- The shift from AI as utility tool to AI as social companion- How users form deep emotional bonds with artificial intelligence- The broader implications of AI becoming a social mediumWe also examine OpenAI's recent pivot toward companion AI with April's new GPT-4o, suggesting a fundamental shift in how we interact with artificial intelligence - from utility-focused tools to companion-like experiences that blur the lines between human and artificial intimacy.The episode also covers Chai's unconventional approach to hiring only top-tier engineers, their bootstrap funding strategy focused on user revenue over VC funding, and their rapid experimentation culture where one in five experiments succeed.TOC:00:00:00 - Introduction: Steve Jobs' AI Vision & Chai's Scale00:04:02 - Chapter 1: Simulators - The Birth of Social AI00:13:34 - Chapter 2: Engineering at Chai - RLHF & Model Blending00:21:49 - Chapter 3: Social Impact of GenAI - Ethics & Safety00:33:55 - Chapter 4: The Lean Machine - 13 Engineers, Millions of Users00:42:38 - Chapter 5: GPT-4o Becoming a Companion - OpenAI's Pivot00:50:10 - Chapter 6: What Comes Next - The Future of AI Intimacy TRANSCRIPT: https://www.dropbox.com/scl/fi/yz2ewkzmwz9rbbturfbap/CHAI.pdf?rlkey=uuyk2nfhjzezucwdgntg5ubqb&dl=0

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Your hosts are joined by Lilly's cats to discuss Chai and Cat-tales by Lynn Strong. They cover how much they love cats, the unexpected delight of finding recipes in a novel, how much they love cats, inclusive fantasy in a cozy setting, how much they love cats, what makes a romance and finally, how much they love cats. Lilly did cut some of the cat talk, they promise.Find us on Discord / Support us on PatreonThanks to the following musicians for the use of their songs:- Amarià for the use of “Sérénade à Notre Dame de Paris”- Josh Woodward for the use of “Electric Sunrise”Licensed under Creative Commons: By Attribution 4.0 License

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 38! FPL Chai also reveals his transfer plans!

Hi everyone! Welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal and today I have Gila Levitt on the show. Gila is a Torah Marriage and Intimacy Specialist with over 20 years of experience empowering Jewish women to create emotionally connected, deeply fulfilling marriages. As the creator of Heart of Marriage: Soul Satisfying Oneness, she blends timeless Torah values with the latest research in emotional intelligence, brain science, and relational well-being.Gila's work is grounded, warm, and deeply respectful on each woman's inner world. She offers not just guidance—but clarity, chizuk, and a path forward for the woman who wants to become her best, most authentic self in her marriage. Through mindset shifts, emotional insight, and practical tools, she helps women align with who they truly want to be—in marriage and in life.  This episode was one I wasn't sure I wanted to do to be totally honest. It covers a really vulnerable topic and one that isn't often spoken about publicly. That being said, it's an important one, one that affects every marriage and every woman in some way so when Gila reached out, I really thought it through and it felt like a good opportunity to delve into things a little more.Because intimacy is such a private thing, it can be one women don't really feel comfortable getting help on or seeking support if they need it and I'm hoping this episode will help break a little bit of that stigma.In the episode we cover a lot — from what intimacy actually looks like in a Torah marriage — the mindset around it and the body-soul relationship to practical ways to achieve more connection to it if it's something that's hard for you. We speak about the differences between men and women in general and in this space that could be coming up and realistic expectations to have around its impact on your marriage.For more from Gila, visit heartofmarriage.org or reach out to Gila at info@heartofmarriage.org.For more classes from Gila on Kol Halashon, click here.--If there is someone you want to see on The Chai on Life Podcast, email me at alex@chaionlifemag.com or send me a DM @chaionlifemag.

In this episode of The Beat, host Sandy Vance sits down with Dr. Heather Bassett, Chief Medical Officer at Xsolis and creator of the proprietary Care Level Score. Together, they explore the future of AI in healthcare and how real-world AI applications are already driving improved operational efficiency, reducing clinician burnout, and enhancing payer-provider collaboration. Dr. Bassett also shares insights from her recent involvement with CHAI.org, emphasizing why healthcare leaders must take initiative in developing responsible AI—without waiting for government mandates. Tune in to hear how Xsolis is helping health systems move from spreadsheets to smart automation, making data more actionable, and building a more transparent, interoperable ecosystem.In this episode, they talk about:How Xsolis is working toward creating a frictionless healthcare systemHow Xsolis reduces manual tasks, decreasing clinician burnout, and boosting productivityXsolis' use of data aggregation to minimize redundancy in the healthcare industryMoving healthcare teams off spreadsheets and into AI-driven solutionsHow client collaboration helps maximize the value Xsolis deliversCMS recognition of the need to eliminate unnecessary steps to accelerate patient careThe role of interoperability in standardizing data exchange and enhancing contextWhy transparency is critical when vendors integrate artificial intelligenceEvaluating whether vendors have the people and processes to support AI change managementA Little About Heather:Dr. Heather Bassett is the Chief Medical Officer at Xsolis, an AI-driven health technology company transforming healthcare through a human-centered approach. With over 20 years of experience in clinical care and health IT, she leads Xsolis' medical and data science teams and co-developed the company's signature innovation—the Care Level Score, which blends clinical expertise with AI and machine learning to assess patient status in real time.A board-certified internist and former hospitalist, Dr. Bassett oversees Xsolis' award-winning physician advisor program, denials management, and AI model development. She's a frequent speaker at national healthcare conferences, including ACMA and HFMA, and has been featured in Becker's, MedCity News, and Medical Economics. Recognized as CMO of the Year by the Nashville Business Journal and named one of Becker's Women in Health IT to Know (2023, 2024), Dr. Bassett is also a member of CHAI.org, advocating for responsible AI in healthcare.

On todays episode Danny is joined by Penny Chai Vice President of APAC at Sumsub.Penny Chai joined Sumsub as Vice President of Business Development, APAC in April 2023. She is a skilled sales and business development professional with a focus on building lasting partnerships and driving growth in the APAC region. Prior to her role at Sumsub, Penny was the Director of Global Partnerships at predictive cryptocurrency risks and intelligence platform Merkle Science, forming strategic partnerships and developing indirect business opportunities. Additionally, she was Channels Director, APAC at Jumio, and Head of Channel Management, SEA, Korea, and AEC at Micro Focus. She has also held several senior marketing roles, including APAC Marketing Director at McGraw-Hill Education, Marketing Director - APAC at both Zebra Technologies and Intermec Technologies and Regional Director at the Dell Global BV.In this podcast, Penny shares her insights on how to:1) Improving digital identity verification2) The founding vision behind Sumsub's approach to digital identity3) How to make reusable digital identity accessible to people across different socio-economic, geographic, and technological divides4) How to balances privacy, security, and user accessibility5) How to design identity products that can quickly adapt to different regulatory and compliance requirements6) The biggest UX design challenges, and how to ensure users feel safe and in control of their data7) Structure and lead teams that can innovate within a highly regulated, complex, and rapidly changing landscape8) The future of digital identity - Especially as AI, blockchain, and decentralized identity models mature9) One piece of advice to product leaders or entrepreneurs entering the digital identity space10) And more...Are you getting every episode of Digital Transformation & Leadership in your favourite podcast player? You can find us Apple Podcasts and Spotify to subscribe.

Hi everyone! Welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal and today, I am so excited to welcome Atara Weisberger to the podcast.Atara is a trailblazing health and wellness coach, personal development mentor, and co-author of the transformative book How to Soul: Navigate Your Life Path with Clarity, Inner Peace, and Joy. With a unique ability to blend ancient wisdom with actionable strategies, Atara empowers individuals to break free from emotional blocks, rediscover their inner strength, and cultivate lives rooted in authenticity and joy.She of course, has her own personal journey to getting where she is today. Her own baal yeshiva story has shaped her mission to help others find meaning and connection in today's fast- paced, often overwhelming world. As the founder of The Tribe, a holistic wellness community, Atara leads a growing movement where spiritual growth meets modern self-care. She is very active herself and is a runner, yogi and loves to explore healthy cooking.In the episode, we're talking all about her new book that she wrote with Rabbi Dov Lipman which is all about reconnecting to your soul, your real inner essence which can so easily get lost in today's world.You know the feeling you get when you go to a really good shiur? It's like everything just clicks and makes sense and you feel aligned with who you are really meant to be. That is this book.Anxieties, insecurities, awkward social interactions, social media, meetings, family dynamics and more can easily make us feel like we're not enough and can throw us off balance from knowing who we really are.The goal of this book is to remind you of your inner essence, to give you tools to always be able to get back to your soul and to feel like you're really living a connected life in the true meaning of the word — not the 2025 version.In the episode, we speak about -Atara's journey to writing this book-Her main goal that she wants readers to take away from it-How to connect more deeply to your soul and how to get back to it when you feel like you've strayed-How to find balance and meaning in religious halacha and how that goes hand in hand with spirituality and a real relationship with Hashem-Why the struggle and the process of growth is the way and why growth is never linear-Practical tools to utilize in this world to get you back to a more spiritual place-How we can make peace with social media and living a life in a technological world without making it black and white-Cultivating more emunah and bitachon with the wisdom that she shares..and so much more!If you want more from Atara, visit Howtosoulbook.com — at the bottom you can get two free heart-opener meditations. To get in touch, you can email Atara at Atara@howtosoulbook.com.

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 37! FPL Chai also reveals his transfer plans!

Ever feel like your story just isn't landing? I get it. In my latest episode of Attract and Standout, I dive into 3 key reasons why your message might not be resonating—and how to fix it. In this episode of the Attract and Standout podcast, host Darlene Hawley shares actionable insights on why your story isn't resonating with your audience. She discusses common pitfalls such as making the story about you rather than for your audience, lacking emotional depth, and waiting for others to go first. Darlene offers practical tips like creating a story bank, connecting through emotions, and the importance of going first to create space for others to share. She also introduces a self-paced storytelling mini-course designed to help you captivate your audience and build trust. Tune in to learn how to share your story with confidence and clarity, whether in social media posts, blog articles, or face-to-face interactions.—--Darlene Hawley is a speaker, podcast host, business coach, and communication expert who shows ambitious, heart-centered entrepreneurs and rising business leaders how to speak up, stand out, and make more impact.If you know of any entrepreneurs looking to grow their business without using social media and want more visibility or executive leaders who want to communicate with confidence and speak up for the ideas and issues that matter most to them. Those are the best referrals.Grab my 10 Do's and Don't for Effective Daring Conversations: https://mailchi.mp/297e8105e904/communicationguideGrab my 6 Steps To Attract & Stand Out digital guide, a free roadmap to create a successful business with less hustle and more ease: https://bit.ly/attractandstandoutonlineGrab a Chai and let's Connect:https://darlenehawley.comhttps://linkedin.com/in/darlenehawley

Hi everyone! Welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal and today, I am speaking with Merissa Gross, a shadchan, or matchmaker, extraordinaire. Merissa is a ball of energy, just so much fun to be around with is a wealth of knowledge when it comes to dating. This is a full raw, real, tachlis conversation. We really get into it. Even though I've interviewed other dating experts on the podcasts, I think this one is the most insightful in terms of the behind-the-scenes aspect that happens for a matchmaker. She does not hold back — she shares it all with stories and details so even if you're not currently in the dating scene, this is an interesting one to listen to.We speak about:-Her day-to-day schedule and what goes into working with a couple-How she sets parameters around who she sets up-How the payment system works with her and other shadchanim — this was really interesting to see how it's evolved-How she decides who to pair up — if it really is a gut feeling or there is a system-Addressing mistakes matchmakers make and clearing up misconceptions about the reputation so many unfortunately get-Why you may feel frustrated with the matches that you're getting-How to make the best impression at a meeting with a matchmaker-What to do if you feel like you're not getting the best matches and how she has handled certain situations-Red flags to look out for in dating-The concept of settling versus not-How to know when you're ready to get engaged and what that feels like...and sooo much more.As you can see from that list, we cover A LOT of ground and even if you're married, this is a super engaging conversation to listen in on just from a place of personal interest and as a way to help any single friends find THEIR match.If you'd like to get in touch with Merissa, you can email her at mg@merissagross.comWhen email is not possible: Israel work only number, which includes WhatsApp: 058.500.8820 Official work hours: 9am-3pm IST

Raullen Chai is the Co-Founder and CEO of IoTeX, a modular Web3 infrastructure platform connecting smart devices and real-world data to blockchains. Chai is an expert cryptographer, privacy and data security expert who previously held positions at Google, Uber and Oracle. At Google, he led security initiatives for the company's technical infrastructure and was the founding engineer of Google Cloud Load Balancer. He holds a Ph.D. from the University of Waterloo, where his research focused on designing and analyzing lightweight ciphers and IoT authentication protocols.In this conversation, we discuss:- Raullen's journey from working at Google, Uber, Oracle >>> founding IoTEX- Waterloo grads moving to USA instead of staying in Canada- Why Physical AI changes the game- The DePIN + AI strategic reserve- Current DePIN landscape- Smart cities & infrastructure for the people- Decentralized robotics- Autonomous infrastructure- Unlocking real-time, real-world AI inputs- Enabling sentient AI agents and self-learning infrastructure- An Uber-like system for robotsIoTexWebsite: iotex.ioX: @iotex_ioLinkedIn: IoTexRaullen ChaiX: @RaullenLinkedIn: Raullen Chai--------------------------------------------------------------------------------- This episode is brought to you by Treehouse. Treehouse features two powerful innovations: tAssets, a new class of liquid staking primitives, designed to generate enhanced yields through interest rate arbitrage, and DOR, short for Decentralized Offered Rates, a transparent and reliable consensus-driven benchmark rate for digital assets.Together, they tackle some of DeFi's biggest problems: fragmented interest rates and the lack of unified benchmarks.So whether you're after stable yields or helping shape the future of on-chain finance, Treehouse has the infrastructure to power your journey.They're also running their GoNuts rewards program, simply hold tAssets to earn Nuts, and stand to be rewarded at the end of the campaign.Head over to their website at treehouse.finance to explore more, and follow them on X @TreehouseFi to stay updated.The future of decentralized fixed income is being built, and it's being built by Treehouse.

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 36! FPL Chai also reveals his transfer plans!

Independent quality assurance labs are critical for evaluating health AI models, just like in other sectors.  In this episode, Dr. Brian Anderson, president and CEO of the Coalition for Health AI (CHAI), discusses the organization's initiatives to create a national network of certified labs and a model card (AI nutrition label) to assess AI safety and effectiveness. He highlights the challenges in defining and measuring bias, especially in generative AI, and the importance of transparency and collaboration between industry, government, and academia to build trust. Dr. Anderson also covers the need for provider upskilling in AI literacy and the potential of AI tools, like ambient scribes, to mitigate clinician burnout. Finally, he explains how public access to evaluation reports is key to public trust. Tune in and learn about the future of AI regulation in healthcare and learn why physicians must educate themselves on AI! Resources: Connect with and follow Dr. Brian Anderson on LinkedIn. Discover more about Coalition for Health AI (CHAI) on their LinkedIn and website.

**Today's Halacha is dedicated f or the refuah and haslacha of Ronnie, Sharon, Eli and all the children of CARE** It is customary each night during the Omer period for the Chazan to recite the Beracha and count the Omer aloud, before the congregation recites the Beracha and counts. This practice developed due to the concern that people may mistakenly count the wrong number, in which case they would not fulfill the Mitzva and would recite a Beracha Le'vatala ("wasted" Beracha). As it was assumed that Chazanim would know the correct number for the counting, the custom developed that the Chazan would first count aloud before the congregation. This practice is mentioned already by the Rashba (Rabbi Shlomo Ben Aderet, Spain, 1235-1310), in one of his responsa (126), and is discussed as well by Rabbi Chayim Palachi (Turkey, 1788-1868) in his work Mo'ed Le'kol Chai (5:19). Rabbi Shneur Zalman of Liadi (the "Ba'al Ha'tanya," Russia, 1745-1813), in his code of Halacha (Shulchan Aruch Ha'Rav, 489:12; listen to audio for precise citation), notes an interesting Halachic dilemma that results from this custom. There is a debate among the authorities as to whether a person fulfills a Mitzva by performing the given action without intending to satisfy his Mitzva obligation ("Mitzvot Tzerichot Kavana" or "Mitzvot Einan Tzerichot Kavana"). According to one view, a person fulfills his obligation regardless of whether or not he has the Mitzva in mind while performing the given act. If so, Rabbi Shneur Zalman notes, once the Chazan publicly counts the Omer, everybody who hears his counting has fulfilled their obligation of Sefirat Ha'omer. Even though they did not intend to fulfill their obligation by listening to the Chazan's counting, and the Chazan did not have in mind for his counting to fulfill their obligation, they nevertheless fulfill the Mitzva by hearing his counting. Rabbi Sheur Zalman adds that with regard to Mitzvot De'Rabbanan (obligations ordained by the Rabbis, as opposed to Torah law), all authorities agree that intention is not indispensable for the fulfillment of the Mitzva. Therefore, since we generally follow the view that Sefirat Ha'omer nowadays is required on the level of Rabbinic obligation, according to all opinions one fulfills his obligation to count by hearing the Chazan's counting. Seemingly, then, it should be forbidden to count with a Beracha after one hears the Chazan count the Omer. Since one fulfills his obligation by listening to the Chazan, even if he did not intend to fulfill his obligation in this manner, he may no longer count with a Beracha. Chacham Ovadia Yosef addresses this issue in his work Chazon Ovadia (Laws of Yom Tov, p. 228). He writes that in order to avoid this dilemma, one should verbally declare each year towards the beginning of the Sefira period that throughout the period he does not intend to fulfill his obligation by listening to somebody else's counting. By making such a declaration, one establishes that he intends on fulfilling his obligation only by personally counting the Omer, and he may thus count with a Beracha even after listening to the Chazan's counting. Summary: It is customary for the Chazan to count the Omer aloud with the Beracha before the congregation counts. One should verbally declare at the beginning of the Sefira period that throughout the Omer he intends to fulfill his obligation to count only through his personal counting, and not by listening to the Chazan or other person's counting.

Welcome to Season 10 of Down to the Struts! To kick things off, Qudsiya sits down with the indomitable Chai Feldblum. Chai is a civil rights advocate and scholar. For nearly four decades, Chai has fought for the rights of LGBTQ and disability communities through legislative advocacy, teaching, scholarship, government service, and much more. She played an integral role in the drafting of the Americans with Disabilities Act. Qudsiya and Chai talk about Chai's work on the ADA, including the unlikely coalition that she brought together, and so much more.The Art of Legislative Lawyering and the Six Circles Theory of AdvocacyLet us know what you think with a comment or review!Visit our website⁠ ⁠for⁠⁠⁠⁠⁠⁠⁠⁠⁠ transcripts⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-- Subscribe to Qudsiya's Substack, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Getting Down To It⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Support the team behind the podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠with a donation⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 35! FPL Chai also reveals his transfer plans!

Hi everyone! Welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal, and today, I am so happy to be back! Baruch Hashem, it was a beautiful Pesach holiday filled with a lot of great quality family time, cooking, decluttering, all the things we talk about on here and now it feels good to be back to the podcast!Coming off of Pesach, we just spend time looking inward, thinking about the excess chametz we want to get rid of in our own lives, the fluff that gets in the way of who we really are, what things maybe we want to free ourselves from and be free to do. This episode is all about self-awareness, going beneath the surface, getting more to the root of who you are and it's a beautiful continuation of that work we can bring into this new time period on the Jewish calendar. Dvora Henner, our guest this week, is the founder of MAXIMIZE, a home organization and life coaching business dedicated to helping women make the most of their space and time. She is passionate about self-awareness and personal growth as the foundation for stronger, healthier relationships.In the episode, we speak about:-Her journey from being a full-time stay at home mother to re-entering the out of the house work and finding what she wants to do-The importance of self-awareness, how we learn more about it throughout life as different triggers come up-How this is really the key to solving a lot of our relationship issues we may have with those close to us-What's going on inside of us when our emotions are challenged in a new way-How to use the information to have a deeper, more vulnerable conversation with a loved one-How to improve our shalom bayit-What a woman's needs are compared with a man's needs and how that plays into all of this-How we can practice more self-acceptance...and SO much more!This episode sounds simple on the surface but it is really so deep and thought-provoking and the perfect thing to listen to as we move through this next period.If you'd like to get in touch with Dvora, she can be reached at dvorahenner123@gmail.com.

The Vasu Dixit Collective is a vibrant ensemble that fuses folk traditions with contemporary sounds, creating a musical tapestry that resonates with both the heart and the soul. At its core is Vasu Dixit, renowned for his open-throated vocals and dynamic performances, whether with his band Swarathma or through his solo endeavors. His artistic journey is a celebration of life's nuances, blending his roles as a composer, musician, and filmmaker to craft music that transcends mere entertainment .​ Joining Vasu are Joel Sakkari and Manu Shrivastava, whose contributions are pivotal in shaping the Collective's evolving sound. Joel, with his expertise in synth and guitar, and Manu, skilled in keys and synth, bring a modern edge to the band's folktronica style. The Vasu Dixit Collective's repertoire includes original compositions and special renditions of poems by revered saint poets like Purandaradasa, Basavanna, and Kabir, sung in Kannada and Hindi. Their music serves as a conduit for community connection and compassion, inviting audiences into a shared experience that is both introspective and celebratory. Want to know more and connect with them, here is the link: https://www.vasudixit.com

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 34! FPL Chai also reveals his transfer plans!

In this introductory episode into the book of Leviticus, we discuss how one should view the laws of sacrifice.  By reframing the purpose of the third book of the Torah, we attempt to change the common misconception people have of it.  Instead of seeing it as a boring set of rules and regulations, we invite listeners to view it as an integral part of Hashem's purpose.

Longlegs (2024) movie review for horror and tea fans alike! For our tea sippers, brew a cup of tea, sit back, relax and we hope you enjoy the review! We would be honored if you liked and subscribed!    Please comment on what you thought of the movie! If you'd like to recommend a movie, game or tea and keep up to date with our content, all of our platforms are listed below:

In this special episode, host Melissa Berry is joined by Harjeet Kaur, a Stage 4 cancer survivor, patient advocate, speaker, influencer, and founder of Chai and Hope, a support community for South Asian cancer patients. Harjeet is dedicated to breaking the stigma around cancer, fertility loss, and hair loss due to treatment—especially within the South Asian community. After her cancer diagnosis and stem cell transplant, Harjeet turned her pain into purpose by breaking down barriers within her own family. While she received love and support, the topic of cancer was never discussed. Harjeet found a way to open up that conversation with her own family and now helps others do the same. We explore the emotional and familial challenges of fertility and hair loss—issues deeply significant in South Asian culture—and how Harjeet overcame these obstacles. She shares how founding Chai and Hope has created a supportive space for South Asian cancer patients. This conversation is about breaking stigma, overcoming family barriers, and finding strength through shared stories.  

In this episode of the Attract and Standout podcast, host Darlene Hawley chats with Lisa Raebel, owner and founder of Rebel Girl Marketing. Lisa shares her journey from corporate sales to starting her own marketing firm, emphasizing the importance of authenticity and telling the truth in marketing. They discuss the challenges of marketing oneself as an entrepreneur, the significance of storytelling in marketing, and the essential differences between marketing and sales. Lisa also introduces her latest projects, including a new workbook and training sessions designed to help businesses excel in their marketing strategies. Tune in to learn actionable tips on how to effectively market your business and connect with your ideal clients.Lisa is the Founder, Author, Speaker & Chief Storyteller of Rebel Girl Marketing, where she has developed her proprietary RebelMindset approach to help businesses stay in business by utilizing focused, uncompromising marketing strategies. With over thirty years of experience as a successful marketing executive and leading sales professional, Lisa cuts through the noise and breaks down marketing to what makes sense for her clients, creating strategies that are simple, relatable to their target audiences, and result in double-digit sales growth year after year.https://rebelgirlmarketing.com/https://www.linkedin.com/in/lisaraebel/https://www.facebook.com/rebelgirlmarketing-----Hi I'm Darlene Hawley, and I help entrepreneurs and executive leaders find their voice and mastering communication in high-stakes conversations and presentations, whether in the boardroom, on a sales call, or around the dinner table.Grab my 10 Do's and Don't for Effective Daring Conversations: https://mailchi.mp/297e8105e904/communicationguideGrab my 6 Steps To Attract & Stand Out digital guide, a free roadmap to create a successful business with less hustle and more ease: https://bit.ly/attractandstandoutonlineGrab a Chai and let's Connect:https://darlenehawley.comhttps://linkedin.com/in/darlenehawley

This week on Conversations with Chai, we're stepping into the glittering, high-stakes world of New York's Diamond District with none other than Chandan the Jeweler — a go-to name for top Punjabi artists and a rising force in the high-end jewelry space, crafting custom pieces that can hit a $250K price tag.We break down the real difference between TikTok jewelry and true luxury, lab-grown vs. natural diamonds, and the finesse it takes to sell to artists you grew up listening to. From Ihram's wild high-stakes poker stories to Chandan's tales of big-ticket sales and emotional engagements, this episode is full of gems — literally and figuratively.Timestamps include:1:44 – Lab-grown vs. natural diamonds for engagement rings9:33 – TikTok jewelers vs. real high-end craftsmen (Moses and Vookum)12:55 – The most expensive piece Chandan has ever sold18:00 – Selling to Desi artists and repping the culture21:50 – Transactional relationships in the industry33:00 – Why jewelers sell to other jewelers35:27 – Are we all being overcharged?40:00 – The dark side of the Diamond DistrictIf you've ever been curious about how flex culture, cultural pride, and real wealth intersect in the world of jewelry — this one's for you.

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 33! FPL Chai also reveals his transfer plans!

Where tariffs bring chaos, ChAI brings cover. In this episode, Robin Merttens speaks with Tristan Fletcher, co-founder and CEO of ChAI, about how his team is using financial market techniques and AI to build insurance products that protect manufacturers from volatile input costs. What began in the world of hedge funds and speculative trading is now helping companies like recyclers and food manufacturers hedge against unpredictable raw material prices. Tristan explains how ChAI is transforming techniques once reserved for professional traders like satellite imagery, shipping data and price forecasting, into insurance-backed protection for real-world businesses. He also shares the story behind ChAI's first deal, the long journey to secure reinsurance capacity and the challenge of winning over regulators. This is an episode about pricing innovation, resilience in turbulent markets and what the insurance industry can do to keep pace with uncertainty. Plus, you'll learn a new word: Eigenzeit—and it might just reshape how you think about timing in insurance. Key Talking Points Democratising financial tools: why ChAI is bringing hedge fund-style analytics to manufacturers Turning speculation into protection: how AI price forecasting powers a new insurance product From cocoa to copper: insuring raw material volatility in food, packaging and recycling sectors Structuring the product: how ChAI created insurance that mirrors price hedging without regulatory red flags Regulatory hurdles: overcoming concerns about market risk and building legal confidence in a new model First deal breakthrough: how ChAI secured capacity from a major US reinsurer and wrote its first risk ESG implications: how the product supports the circular economy and reduces stockpiling The US vs the UK: why American risk carriers moved faster to back the product Market appetite – how volatility and geopolitical shocks like tariffs are driving inbound demand From startup to scale: why ChAI now needs more brokers, insurers and customers on board If you like what you're hearing, please leave us a review on whichever platform you use or contact Robin Merttens on LinkedIn. You can also contact Tristan Fletcher on LinkedIn to start a conversation! Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Measure the potential benefits of price volatility protection on supply chain resilience and inventory management. Define the role of reinsurance in enabling innovative risk-transfer solutions like raw material price insurance. Identify the sectors and commodity risks best suited to ChAI's product, including recycling, packaging and FMCG manufacturing. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 350 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Marika, Emma, and Amir join Geoff to discuss reverse uni and Emma's Trilemmas, before playing Two Chais and a Lie, and engaging in a good old fashioned glaring contest!» FOLLOW Geoff on Instagram: https://www.instagram.com/geoffreyjames/» FOLLOW Amir on Instagram: https://www.instagram.com/amir/» FOLLOW Marika on Instagram: https://www.instagram.com/marikaelon/» FOLLOW Emma on Instagram: https://www.instagram.com/emmarosefoley/Advertise on The Headgum Podcast via Gumball.fmRate The Headgum Podcast 5-stars on Apple PodcastsRate The Headgum Podcast 5-stars on SpotifyJoin the Headgum DiscordSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Famous Responsa re: Adultery and Divorce

Dr Chai is back for a third time on the podcast to help us navigate some of the most frequently asked questions about food allergies—this time diving into the grey areas that many families feel confused about, like breastfeeding and allergens, eczema and food introduction, and the difference between allergies and intolerances. We also explore a hot topic in the allergy world right now: oral immunotherapy (or desensitisation).Dr Chaitanya Bodapati is a dual-trained Paediatric Allergy/Immunology Specialist and General Paediatrician. With a holistic and family-centred approach, Dr Chai blends her clinical expertise with her personal experience as a mum of children with food allergies. Her relatable and evidence-based support helps families feel confident and informed at every stage of their allergy journey.In this episode we discuss:Breastfeeding with food allergies The difference between an allergy and an intoleranceHow to manage eczema when introducing solids and allergensIf food-based skincare products (like almond oil or coconut oil) increase the risk of allergiesWhether what you eat in pregnancy or breastfeeding affects your baby's allergy riskWhy formula-fed babies may already be exposed to some allergensWhat oral immunotherapy is and who it might be suited toWhy food allergy desensitisation is becoming more common in Australia… and so much more!You can connect with Dr Chai via Instagram at @childrensallergyclinic or through her website www.childrensallergyclinic.com.auSome other resources we mention include:ASCIA Allergy Action PlansEp. 118 – Introducing Allergens with Dr Chaitanya BodapatiEp. 119 – What to Do if Your Child Has an Allergic Reaction with Dr Chaitanya BodapatiToday's episode is brought to you by Haakaa. Haakaa is a family-owned New Zealand brand committed to making motherhood simpler, easier, and greener. From their iconic breast pumps to their fresh food feeders and silicone freezer trays, Haakaa's range of safe, sustainable and non-toxic baby products are favourites in both of our homes. Whether you're breastfeeding, introducing solids, or prepping meals for your toddler, Haakaa offers practical solutions that support you every step of the way.You can use the code BOOBTOFOOD for 10% off your order at www.haakaa.co.nzFollow us on instagram @boobtofood to stay up to date with all the podcast news, recipes and other content that we bring to help make meal times and family life easier.Visit www.boobtofood.com for blogs and resources, to book an appointment with one of our amazing practitioners and more.Presented by Luka McCabe and Kate HolmTo get in touch please email podcast@boobtofood.com

To get live links to the music we play and resources we offer, visit www.WOSPodcast.comThis show includes the following songs:Shara Strand - Anthem FOLLOW ON SPOTIFYCarly Carroll - Until It Goes Away FOLLOW ON SPOTIFYTori Leppert - Berry Bush FOLLOW ON SPOTIFYKatie Klein - If You Change Your Mind FOLLOW ON SPOTIFYPam Ross - Kansas FOLLOW ON SPOTIFYLuna Keller - Don't Kill The Butterfly FOLLOW ON SPOTIFYMaddy Barnham - Middle Child FOLLOW ON SPOTIFYRELAAY - This Place FOLLOW ON SPOTIFYMichelle Raybourn - Wildfire Woman WisenHeart - Shelter In The Shadow FOLLOW ON SPOTIFYMargaux Games - Gone Now FOLLOW ON SPOTIFYAmanda Fagan - Time To Set My Caged Bird Free FOLLOW ON SPOTIFYSevendrop - Things I Hate FOLLOW ON SPOTIFYCHAI - Push & Pull FOLLOW ON SPOTIFYNadz - Hardest Thing FOLLOW ON SPOTIFYFor Music Biz Resources Visit www.FEMusician.com and www.ProfitableMusician.comVisit our Sponsor Profitable Musician Newsletter at profitablemusician.com/joinVisit our Sponsor Captain Seren at https://captain-seren.rocksVisit our Sponsor Kick Bookkeeping at http://profitablemusician.com/kickVisit our Sponsor Track Stage at https://profitablemusician.com/trackstageVisit www.wosradio.com for more details and to submit music to our review board for consideration.Visit our resources for Indie Artists: https://www.wosradio.com/resourcesBecome more Profitable in just 3 minutes per day. http://profitablemusician.com/join

Dylan (FPL Chai) is joined by Gianni Buttice look ahead to Gameweek 32! FPL Chai also reveals his transfer plans!

Since we were chatting about dogs last month, it's only right to switch gears and talk about cats. We shared all about our feline friends, including their personalities, photos, and funny stories. Oh, and guess what? Chai even came to visit me at the studio a few times! [ratings] http://dts.podtrac.com/redirect.mp3/penanghokkien.com/media/PgHkn-2025-04-07.mp3 Support PGHK Follow me on: Clubhouse @JohnOng Penang Hokkien Podcast House Global Hokkien Speakers House TikTok (PGHK) @PenangHokkien TikTok (John's) @John.Ong Twitter (PGHK) @PenangHokkien Twitter (John's) @JohnOng Instagram (PGHK) @PenangHokkien Instagram (John's) @John.Ong Watch this episode on YouTube: (((DOWNLOAD AUDIO FILE)))

Rav Yosef Chaim (1835-1909), better known by his popular work Ben Ish Chai, was an important leader of the Baghdad Jewish community of the 19th century, whose influence reached across the Ottoman Empire and beyond. Having grown up in the rabbinical aristocracy of Baghdad, he succeeded his father's position in 1859, serving the Jewish community for the next half century. This was primarily through his masterful oratorical skills, which he delivered twice daily, every Shabbos and on special occasions to the entire community. He wrote tens of works on the entire gamut of Torah literature, and financed his own publication costs to have them printed in Jerusalem. He made a historic journey to the Land of Israel in 1869, and at the end of his life inspired the Calcutta based philanthropist Yosef Avraham Shalom to fund the establishment of the famed Porat Yosef yeshiva. His innovative halachic methodology influences the world of Sephardic psak until today.   Subscribe to Jewish History Soundbites Podcast on: PodBean: https://jsoundbites.podbean.com/ or your favorite podcast platform Follow us on LinkedIn, Twitter or Instagram at @Jsoundbites For sponsorship opportunities about your favorite topics of Jewish history or feedback contact Yehuda at:  yehuda@yehudageberer.com  

In this episode of Torah Chai-Lights, we compare the biblical feasts of Israel and compare them to American holidays and culture.  Although focused on America, the ideas can apply to any western nation who values freedom.  Join us for this engaging exchange of ideas.

Balancing creativity and consistency, maximizing productivity, and navigating food trends with RIz Asad from Chocolates and Chai.  ----- Welcome to episode 512 of The Food Blogger Pro Podcast! This week on the podcast, Bjork interviews Rizwan Asad from Chocolates and Chai.  How to Balance Creativity and Consistency in Blogging This week, we're chatting with Riz from Chocolates and Chai, who shares some amazing insights on balancing creativity with monetization. It can feel like a compromise when you're trying to make money from your blog, but Riz breaks down how ad revenue, affiliate marketing, and licensing can actually work together with your content without sacrificing quality! Riz also drops some valuable tips on staying efficient and consistent in your content creation. You'll also hear him talk about how jumping on popular topics, like viral TikTok recipes, can really up your visibility and engagement. Lastly, we dive into the importance of finding your niche — understanding who your audience is and carving out a space that's uniquely yours is the key to long-term success while staying true to your creative passion. You won't want to miss this episode! Three episode takeaways: Balancing Creativity and Consistency: Finding the sweet spot between staying true to your creative vision and consistently putting out content is essential for long-term success. Building trust with your audience while keeping things fresh and true to your style is key here! Maximizing Productivity: If you're juggling a full-time job or managing the pressures of blogging, Riz has been there and says that batching tasks and minimizing distractions can significantly boost your efficiency. Staying organized will help you keep the content flowing without burning out! Navigating Trends and Monetization: Keeping an eye on trends, like those on TikTok, can help boost your content's visibility. And while monetizing a blog can feel tricky or like you're compromising your creativity, finding a balance that allows you to make money while staying true to what you love doing is possible. Resources: Riz's food blog, Chocolates and Chai How to Read a Recipe Post from Chocolates and Chai EOS — Entrepreneurial Operating System Dubai Chocolate Bar from Chocolates and Chai Fluffy Chocolate Pancakes from Chocolates and Chai Google Year in Search 2023 Instagram Reel Google Year in Search 2023 YouTube Short Episode 505 of The Food Blogger Pro podcast: Maximizing Affiliate Revenue with Deep Linking Deep Work: Rules for Focused Success in a Distracted World by Cal Newport Send Riz an email! Follow Riz on Instagram Join the Food Blogger Pro Podcast Facebook Group Thank you to our sponsors! This episode is sponsored by Clariti and Cookie Finance. Learn more about our sponsors at foodbloggerpro.com/sponsors. Interested in working with us too? Learn more about our sponsorship opportunities and how to get started here. If you have any comments, questions, or suggestions for interviews, be sure to email them to podcast@foodbloggerpro.com. Learn more about joining the Food Blogger Pro community at foodbloggerpro.com/membership.

We're back for part two with paediatric allergist and immunologist Dr Chaitanya Bodapati (aka Dr Chai) to continue the conversation about allergies—this time focusing on what to do if your child reacts to a food.Allergies are on the rise, and the process of introducing allergens can be anxiety-inducing for many families. But what happens when your child actually has a reaction? Whether it's mild hives or something more serious like anaphylaxis, the path forward can feel overwhelming and unclear—especially when wait times to see a specialist can be months long.Dr Chaitanya Bodapati is a dual-trained Paediatric Allergy/Immunology Specialist and General Paediatrician. With a holistic approach to care, she draws from her extensive clinical experience—and her personal experience as a mum to a child with multiple food allergies. She is passionate about helping families navigate the often stressful world of childhood allergies with clarity and compassion.In this episode we discuss:The signs and symptoms of an allergic reaction vs a sensitivity or contact rashWhat to do if your child reacts to a foodWhen (and when not) to seek medical helpHow to manage mild, moderate, and severe reactionsWhether you need to stop introducing other allergens after a reactionThe role of skin prick and blood testing—and why they're often misleadingWhat FPIES is, how it differs from other allergiesWhether your child is likely to outgrow a food allergyWhen an EpiPen is (and isn't) necessaryWhy the only true way to diagnose an allergy... and so much more!You can connect with Dr Chai via Instagram at @childrensallergyclinic or through her website www.childrensallergyclinic.com.auSome other resources we mention include:ASCIA Allergy Action PlansEp. 118 – Introducing Allergens with Dr Chaitanya BodapatiToday's episode was brought to you by Part & Parcel. Part & Parcel is our favourite one stop shop for pantry staples – not only do you have the convenience of them being delivered straight to your door (who wants to go shopping with 3 kids!), but they have also curated the most incredible range of organic, ethical and sustainable products so you don't have to waste your time researching ingredients on labels. They've done the work for you. But be warned… you may want to add one of everything to your cart! Thankfully their annual membership allows members to receive extra savings on their shop (so maybe you can add that extra block of chocolate!).You can use the code BOOBTOFOOD for $20 off your first order over $99. Visit www.partandparcel.com.au to shop today!Follow us on instagram @boobtofood to stay up to date with all the podcast news, recipes and other content that we bring to help make meal times and family life easier.Visit www.boobtofood.com for blogs and resources, to book an appointment with one of our amazing practitioners and more.Presented by Luka McCabe and Kate HolmTo get in touch please email podcast@boobtofood.com

Welcome back to the Attract and Standout podcast with Darlene Hawley! Today's episode 108 features the inspiring story of Leigh Burgess CEO of Bold Industries Group and co-founder of the company with her daughter in 2020. Tune in as Leigh shares her transition from a corporate career to entrepreneurship amidst burnout during the pandemic. Discover how her ‘Be Bold Today' framework (Believe, Own, Learn, Design) has empowered women in leadership roles, and learn about the unique dynamic of building a business with her daughter. She provides insight into the importance of storytelling, continuous learning, and maintaining a growth mindset.Don't miss practical tips on achieving success, the power of thought leadership, and the significance of sharing authentic stories to connect and inspire others.Whether you're an established entrepreneur or just starting out, Leigh's journey offers valuable lessons in boldly pursuing your dreams.-----Leigh Burgess is a thought leader, game-changer and powerhouse connector determined to ignite and support the bold journeys of others. After over twenty years in healthcare, she founded Bold Industries Group, a platform for uniting, inspiring and empowering women that brings together a unique global network via her Bold events, the Bold Leaders Collective membership, The Bold Lounge podcast and through her dynamic speaking, coaching, and consulting engagements. With a focus on the intersection of mindset, strategy and wellness, her Believe-Own-Learn-Design (B.O.L.D.) Framework is your map to the bold life. Leigh's forthcoming book, Be BOLD Today: Unleash Your Potential, Master Your Mindset, and Achieve Success, which is all about how to apply the framework to your own life, will be distributed by Simon & Schuster in November 2024.LinkedIn: https://www.linkedin.com/in/leighburgess23/Instagram: https://www.instagram.com/theleighaburgessYouTube: https://www.youtube.com/@boldindustriesgroupPre-Order Her Book, Be BOLD Today: https://www.simonandschuster.com/books/Be-BOLD-Today/Leigh-Burgess/9781685552435https://leighburgess.com/-----Hi I'm Darlene Hawley, and I help heart-centered entrepreneurs and executive women leaders solve the problem of not being seen, heard, or valued in high-stakes conversations, presentations, and marketing, so they can lead with confidence and attract aligned opportunities.Grab my 10 Do's and Don't for Effective Daring Conversations: https://mailchi.mp/297e8105e904/communicationguideGrab my 6 Steps To Attract & Stand Out digital guide, a free roadmap to create a successful business with less hustle and more ease: https://bit.ly/attractandstandoutonlineGrab a Chai and let's Connect:https://darlenehawley.comhttps://linkedin.com/in/darlenehawley

This episode originally aired April 8, 2024.Hi everyone, welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal and I am so excited about this conversation with Rebbetzin Yehudis Golshevsky. We're in a difficult time for the Jewish people. We just marked 180 days since October 7 — six whole months since Israel and the Jewish people were attacked on Simchat Torah. It's hard to believe. It's so hard to know that every single day, 134 hostages still remain in captivity, our soldiers are still fighting and our people are at riskThere is increased antisemitism around us. Incredible gaslighting about what Israel is doing in self-defense and just to survive and protect its people, our people. It's truly a painful moment and it can be confusing to know where to turn or where to find hope. This conversation with Rebbetzin Golshevsky, I hope will help you find some comfort.In our conversation, we speak about:-Rebbetzin Golshevsky's path to becoming a profound Torah teacher-How to connect to Nisan and Pesach during this unique time we're in and how we can extract so much meaning out of it-How to become joyful at this time-Why things may look so gross and ugly on the outside right now and what that means for the Jewish people-The process of redemption — what we can look to for hope-How to free yourself from something personal you're working on...and so much more! If you would like to learn more about Rebbetzin Golshevsky and SHIVITI and get on the school's mailing list for classes, visit https://shiviti.org.il/.To reach out to Rebbetzin Golshevsky directly, you can email her at Yehudis@shiviti.org. More about Rebbetzin Golshevsky:Rebbetzin Golshevsky founded and is the director of SHIVITI, a school in Jerusalem for women. She holds primary and secondary teaching certifications from Yavne Teacher's College in Cleveland, Ohio, as well as a BA from SUNY Buffalo in Classics-Judaic Studies. Rebbetzin Golshevsky has been a well-known Torah educator in Jerusalem and abroad for twenty-five years, with students all over the world. She is also published author, editor, and translator. To nominate a woman for the podcast, please send me an email at alex@chaionlifemag.com or send me a DM on Instagram at @chaionlifemag.Thanks for listening! 

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

In this episode of Torah Chai-Lights, we take a look at the names of key biblical characters, starting with Nadav, son of Aaron, and discuss the meanings of those names along with what messages those names communicate to us.

Allergies are one of the most common—and nerve-wracking—concerns for families starting solids. From knowing when to introduce allergens to understanding how often they should be offered, it's no wonder so many parents feel overwhelmed.In this week's episode of Boob to Food The Podcast, we're joined by the brilliant (and relatable) Dr. Chaitanya Bodapati, a dual-trained paediatric allergist/immunologist and general paediatrician. Not only does she bring a wealth of clinical experience, but she also shares her perspective as a mum navigating food allergies firsthand.In this episode we discuss:When and how to start introducing allergensWhy timing matters (but also why you don't need to panic)How often allergens should be offered and in what quantityWhat to do if your baby spits the food out (again!)How to approach allergens when you have dietary restrictions or food avoidance in your familyWhether it's necessary to introduce every single tree nut individuallyWhat to do if your baby is unwell, or if there's a family history of allergyWhat reactions to look out for and when to seek help... and so much more!You can connect with Dr Chai via Instagram or through her website www.childrensallergyclinic.com.au.Today's episode is brought to you by Harris Farm. Harris Farm is a family-owned Aussie business and one of our favourite places to shop - both for everyday staples and those special little extras that make meals feel exciting and extra delicious. They're passionate about supporting local growers, reducing food waste, and making good food more accessible.If you're a fan of vibrant produce, pantry staples without the nasties, and delicious snacks your kids will actually eat (without the additives), Harris Farm is the place to go. We especially love their Imperfect Picks range (hello, sustainable savings!) and their Colour by Nature initiative that removes artificial colours from their products.Visit www.harrisfarm.com.au to find your nearest store.Follow us on instagram @boobtofood to stay up to date with all the podcast news, recipes and other content that we bring to help make meal times and family life easier.Visit www.boobtofood.com for blogs and resources, to book an appointment with one of our amazing practitioners and more.Presented by Luka McCabe and Kate HolmTo get in touch please email podcast@boobtofood.com

FPL Chai & Gianni Buttice react to the big FPL news, including an update from the international break.

FPL CHAi & Gianni Buttice react to BLANK gameweek 29!

Hi everyone! Welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal and today, we have Debbie Sassen, business coach, money mentor and host of the Jewish Entrepreneur Podcast joining us. She helps established entrepreneurs scale from six to seven figures with high-ticket offers, leveraged business models, and smart CEO strategies—all in alignment with Jewish values.Debbie is the go-to expert for business owners ready to charge more, raise their prices, and sell high-ticket offers with confidence—without feeling pushy or sleazy. She believes that money is intimately woven into every part of business, and that clearing money blocks makes growth, marketing, and sales infinitely easier.Her signature coaching program, Wired for Wealth, helps entrepreneurs scale sustainably with her 10-step leverage plan, Power of 1 method, and Sacred Sales Conversation process. Through her coaching, clients master their CEO mindset, leverage their time, and implement simple systems to create consistent $20K-$50K months—without sacrificing their faith, family, or freedom.Debbie believes that no woman - or man - should undercharge, undersell, or dim their light to build financial sustainability for their family.She is also, the mother of eight children bli ayin hara, so she has a LOT to share with us. I was really excited to dig into a conversation about money because I feel like it's a topic not often discussed. Even with close friends it can be awkward or weird to go into let alone people you know less well yet it's such an important and vital part of our lives. It's also one that a lot of people have a lot of feelings around. We all have attachment styles to money the same way we do with relationships and it's something we have to manage and encounter multiple times a day.In the Jewish world, there are extra expenses — Shabbos, kosher food, Pesach of course which is rapidly on its way, two sets of dishes, tuition, generally having more kids and of course so much more.In this episode we speak about:-The relationship Debbie had growing up to money and how that has developed and changed into how it is now-Women taking time off of a career for motherhood and how that impacts her involvement in household finances-Re-entering the workforce during motherhood and how so many women often underestimate themselves and their skills-Money and marriage — how to speak about it with your husband, designate certain roles if you would like to and maintain and gauge that trust and partnership in the relationship-We talk about spirituality within all of this — how Hashem comes into the picture with work, money and giving and how that all can contribute to a more secure attachment with our finances…and SO MUCH MOREDebbie is a wealth of knowledge — pun intended — and honestly, we cover so much and also just skimmed the surface. She has a ton of additional resources available which are all included in the show notes if you'd like to learn more or get in touch with her.Website: https://debbiesassen.com/Podcast: The Jewish Entrepreneur Podcast https://debbiesassen.com/podcast/Book, The $1K Investor: Simple Smart Steps to Start Investing with $1K or Less https://debbiesassen.com/book (links to Amazon)LinkedIn: https://www.linkedin.com/in/debbiesassen/Instagram: @debbiesassenFacebook: https://www.facebook.com/debbiesassencoaching Free resource: Your Money Mindset Workbook: https://debbiesassen.com/mindset/

Today, we're talking about one of the biggest stressors in modern life: money.Why do we work harder than ever yet still feel trapped? Why does financial pressure dominate our choices? And most importantly, are we chasing success—or just stress?To break this down, we're joined by Moishe Bane—a Rabbi, a lawyer, and a leader in the Jewish community. From decades of investing, advising entrepreneurs, and mentoring families to overseeing the Orthodox Union, his perspective is sharp, his insights are eye-opening, and his message? Uncomfortable, but necessary. If you've ever felt the weight of making a living, this conversation is for you.To contact: MoisheBane@gmail.comTo hear R' Moishe Bane's life story and mission, watch this.✬ SPONSORS OF EPISODE 89 ✬ ► BITBEAN: Do you have an ambitious company? BitBean builds custom software and provides software solution consulting. (They do tremendous work.) See case studies, learn more and get in touch here.► THE DONOR'S FUND: More people are using this banklike system for charity. With a sleek mobile app or desktop solution, you can keep all your charity giving in a single place, plus there are about a dozen additional perks. Get a free account here. ► TWILLORY: Save on your first purchase of comfortable clothing for today's casual professional look. Use code CHAI on Twillory's site here.► COLEL CHABAD: Please help Israel as its people need all the help they can get! Visit Colel Chabad's site here to make a much-needed donation!✬ Donate Tax-Deductible and Inspire Millions: Your gift of any size enables Living Lchaim to share uplifting & educational content! Please donate here.Follow Kosher Money for Bonus Shorts: TikTok - https://www.tiktok.com/@koshermoneypod Instagram - https://www.instagram.com/koshermoneypod Follow Living Lchaim for More Goodies: TikTok - https://www.tiktok.com/@livinglchaim Instagram - https://www.instagram.com/livinglchaim/ Facebook - https://www.facebook.com/livinglchaim LinkedIn - https://www.linkedin.com/company/living-lchaim Free Call-In-To-Listen Hotline: USA: 605-477-2100 UK: 0333-366-0154 ISRAEL: 079-579-5088 Living Smarter Jewish is a fantastic financial resource. Get guidance here and check out the new school curriculum!WhatsApp feedback to 1-914-222-5513 All investment strategies and investments involve risk of loss. Nothing contained in our content, ads and videos should be construed as investment or personal advice.#MoneyMindset #WealthVsLifestyle #FinancialWisdom #LivingLchaim #KosherMoney #JewishWisdom #SuccessMindset #WorkLifeBalance #MoneyLessons #OrthodoxFinance #AvoidTheRatRace #SmartSpending #FinancialFreedom #JewishLife #BillionaireSecrets

Victoria Chai is the founder of Chai Connections Coaching and Consulting, who helps female solopreneurs develop their authentic voice and communicate with confidence through her proprietary Authentic Power Method™.Through her coaching and consulting services, Victoria guides clients to overcome communication blocks and self-sabotaging patterns that hurt their businesses. Her approach combines communication theory with educational strategies to create safe spaces for authentic expression and strategic growth.Victoria's journey from nearly thirty years in higher education to entrepreneurship demonstrates the power of reconnecting with one's expertise. Her transition from feeling cringy about her business to confidently engaging with potential clients mirrors the transformation she helps others achieve. Drawing from her extensive experience working with complex organizations globally, her story shows how embracing one's authentic voice and expertise can transform both personal confidence and business success.Here's where to find more:FB: https://www.facebook.com/victoria.chai.12My FB group, The communication sandbox: https://www.facebook.com/groups/the.communication.sandboxLinked in: https://www.linkedin.com/in/victoria-chai-aa6341208___________________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here: https://linktr.ee/unforgetyourself

Money promises security, freedom, and even happiness—but what if that's the biggest illusion of all?In this episode of Kosher Money, we sit down with Dr. Shloime Zimmerman, a world-renowned expert in human behavior, to uncover the hidden psychological traps of wealth. From billionaires who can't stop chasing more to everyday earners feeling like they'll never have enough, Dr. Zimmerman reveals why money alone will never bring lasting fulfillment.