Podcasts about Relational

Five things to maintain relational integrity--Recognize that your own personal preferences are not Scripture. Give forgiveness to others just as freely as you have received from the Lord. Empathize with people, not their performance. Remember who people are to God. Remember who they are to you and your relationship with them.

Lisa Merlo-Booth shares what to do if you are covering for your partner's relational malice. Episode 2015: Are You Covering For Your Partner's Relational Malice? By Lisa Merlo-Booth Lisa Merlo-Booth is a straight-talking and highly effective relationship expert, speaker, and blogger. She has over twenty years of experience in the field of therapy and relationship coaching and a thriving private practice with a client base of individuals and couples spanning the United States and Europe. Lisa is widely known for her straight talk on women, and for her emphasis on teaching women to stop responding in the extremes (silencing or exploding) and, instead, to affect change in a way that is grounded, respectful, and strong. This highly effective approach to communication is about speaking from Grounded Powerful Strength (GPS) rather than the extremes of meekness or aggression. The original post is located here: https://lisamerlobooth.com/are-you-covering-for-your-partners-relational-malice-if-so-stop-it-and-allow-she-to-feel-the-brunt-of-their-actions/ Visit Me Online at OLDPodcast.com Interested in advertising on the show? Visit https://www.advertisecast.com/OptimalHealthDailyDietNutritionFitness Learn more about your ad choices. Visit megaphone.fm/adchoices

Lisa Merlo-Booth shares what to do if you are covering for your partner's relational malice. Episode 2015: Are You Covering For Your Partner's Relational Malice? By Lisa Merlo-Booth Lisa Merlo-Booth is a straight-talking and highly effective relationship expert, speaker, and blogger. She has over twenty years of experience in the field of therapy and relationship coaching and a thriving private practice with a client base of individuals and couples spanning the United States and Europe. Lisa is widely known for her straight talk on women, and for her emphasis on teaching women to stop responding in the extremes (silencing or exploding) and, instead, to affect change in a way that is grounded, respectful, and strong. This highly effective approach to communication is about speaking from Grounded Powerful Strength (GPS) rather than the extremes of meekness or aggression. The original post is located here: https://lisamerlobooth.com/are-you-covering-for-your-partners-relational-malice-if-so-stop-it-and-allow-she-to-feel-the-brunt-of-their-actions/ Visit Me Online at OLDPodcast.com Interested in advertising on the show? Visit https://www.advertisecast.com/OptimalHealthDailyDietNutritionFitness Learn more about your ad choices. Visit megaphone.fm/adchoices

Just Us 4 Youth created a podcast called Life in the Urban City, which brings to life the stories JU4Y youth and staff go through daily. We want to encourage students to know they are not the only person going through these challenging life situations. For the youth worker, we want to encourage you and help you persevere through tough times. Life brings you. Please let us know if you would love to hear us talk about any topics as a student or youth worker.

Nobody seems to be talking about this...and I think it's time we stop sweeping it under the rug. In this episode, we discuss what separates healthy relationships for all the rest, and how you are capable from building and keeping these healthy relationships in your own life moving forward. But...there's a catch. Special thank you to this episode's sponsor: The Party Q's App, the FREE app that offers a HUGE variety of thought-provoking and conversation-starting questions to break the ice and get the party going. Party Q's is the ultimate wingman for your social life. Available on the App Store and Google Play. Download Party Qs today - You will love it!Support the showRemember, you're worth having and building relational wealth! The connection you've been looking for is on the way, and it all starts by being Accidentally Intentional.Did you know we also have a YouTube channel?! It's true, just for all of you lovers of visual formats! For the video version of this episode, head to the Accidentally Intentional YouTube channel!Join the conversation and follow along on Instagram! I respond to DM's! Let's converse! Say hi, or share your biggest takeaways! I'm all ears! @accidentallyintentional or @zoeasher

Why would a man leave the hard-earned relational comfort he has created for the unknown of stretching out and inviting the possibility of outright chaos?We love that flat, still lake on a sunny day, but the challenge and adrenaline of a violent class V rapid leaves us stronger, smarter, wiser, and a bit more confident that we have the stones to see it through rough waters. Choose your suck! Just jump scared! Step out of comfort and push your relationships forward out of the circling pattern! Support Us on Patreon:https://www.patreon.com/renovatingmasculinityConnect with RM:FaceBook Group: https://www.facebook.com/groups/renovatingmasculinityWebsite: https://www.renovatingmasculinity.comInstagram: https://www.instagram.com/renovatingmasculinityTwitter: https://twitter.com/renomasculinitySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Thomas J Oord joins us today to discuss his books, "Open and Relation Theology", "God Can't", and "The Death of Omnipotence... and the Birth of Amipotence". Host, Joshua Noel, discusses his own views in contrast to an open and relational theological perspective, and they discuss what makes open and relational theology more appealing to some. Is open and relational theology the same as process theology? Does God have limits? What is the point of God if He is not in control? How does God experience time? Is Scripture trustworthy and authoritative? Does the Bible have real mistakes in it? We discuss all this and more! Join in the conversation on our Discord Server and Facebook group!.Sign up here to get the free 200 page sampling book of Thomas J Oord's writings: https://landing.mailerlite.com/webforms/landing/u2e9c6.Check out our upcoming convention and buy your tickets now!https://thewholechurch.wixsite.com/onechurchconference.Check out our online store:thewholechurchpodcast.com .Please consider sponsoring our show on Patreon, here, for access to our extra content like our "Too Long; Didn't Listen" series, our "Pet Peeves" series, and our "Whole Church News" episodes!.Make a one-time donation, here..Subscribe to our show, here..Rate us & leave a review, here.

Support the show to get full episodes and join the Discord community. Paul Rosenbloom is Professor Emeritus of Computer Science at the University of Southern California. In the early 1980s, Paul , along with John Laird and the early AI pioneer Alan Newell, developed one the earliest and best know cognitive architectures called SOAR. A cognitive architecture, as Paul defines it, is a model of the fixed structures and processes underlying minds, and in Paul's case the human mind. And SOAR was aimed at generating general intelligence. He doesn't work on SOAR any more, although SOAR is still alive and well in the hands of his old partner John Laird. He did go on to develop another cognitive architecture, called Sigma, and in the intervening years between those projects, among other things Paul stepped back and explored how our various scientific domains are related, and how computing itself should be considered a great scientific domain. That's in his book On Computing: The Fourth Great Scientific Domain. He also helped develop the Common Model of Cognition, which isn't a cognitive architecture itself, but instead a theoretical model meant to generate consensus regarding the minimal components for a human-like mind. The idea is roughly to create a shared language and framework among cognitive architecture researchers, so the field can , so that whatever cognitive architecture you work on, you have a basis to compare it to, and can communicate effectively among your peers. All of what I just said, and much of what we discuss, can be found in Paul's memoir, From Designing Minds to Mapping Disciplines: My Life as an Architectural Explorer. Paul's website. Related papers Working memoir: From Designing Minds to Mapping Disciplines: My Life as an Architectural Explorer Book: On Computing: The Fourth Great Scientific Domain. A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains. Common Model of Cognition Bulletin. 0:00 - Intro 3:26 - A career of exploration 7:00 - Alan Newell 14:47 - Relational model and dichotomic maps 24:22 - Cognitive architectures 28:31 - SOAR cognitive architecture 41:14 - Sigma cognitive architecture 43:58 - SOAR vs. Sigma 53:06 - Cognitive architecture community 55:31 - Common model of cognition 1:11:13 - What's missing from the common model 1:17:48 - Brains vs. cognitive architectures 1:21:22 - Mapping the common model onto the brain 1:24:50 - Deep learning 1:30:23 - AGI

That's what we're striving for, right? Listen in for a gentle reminder of why relational wholeness matters, some signs your relationships may be unhealthy, and questions to ask yourself to begin working toward health. --- Support this podcast: https://anchor.fm/beknown/support

The post 1 John 1:1-3 – God is a Relational God appeared first on North Annville Bible Church.

John Lux, pastor of Antioch Brighton, shares about our value of Honoring Collaboration. Jesus lived with and developed an exceptional team of disciple-makers. Their diverse spiritual gifts, talents, and personalities joined together to become the epicenter of the new Church—the hope of the world. As Jesus' followers, we emulate His process by honoring and empowering the unique grace that resides within every believer.

Our Core Values

In this message, we learn that prayer isn't just about request. Pastor Joon teaches us that prayer is grounded in our relationship with Christ. He gives us 3 keys to see the power of relational prayer at work in our lives: it's sharp in faith, short in length, and shaped by worship. Listen now.

We had Ann Betz, an expert on the intersection of neuroscience, coaching, and relational trauma on The Porch. She joined us to talk about recognizing toxic traits in the workplace and what to do about it. So many of our guests felt seen and heard by what she shared, one attendee even called it “balm for the soul”. This is one of those conversations that can permanently change your perspective on toxicity in the workplace. If you don't have time to listen to the whole thing, here are some major key points: 1. It's the good, flexible, hard-working, intelligent souls that get worn to the bone by toxic relationships. In fact, having high empathy can make you a target for narcissism. 2. The FIRST sign of a toxic relationship is surprising because it feels good. It's called LOVE BOMBING and it's the initiation into a toxic dynamic. If someone is admiring you, lavishing praise on you, idealizing you, and it sounds too good to be true, it probably is! The irony is after being LOVE BOMBED for weeks or months, the individual is quickly DEVALUED and DISCARDED. All of a sudden, you aren't being asked to those meetings, and you aren't asked for your input. You may even feel accused of things you haven't done. This roller coaster of admiration and then accusation can be very disorienting. The individual with "super traits" like extremely high empathy will give more to try to fix this pattern. The average person won't tolerate and flex that far and will leave before the dynamic continues further. 3. One of the best things you can do is listen to your body after you leave a meeting. Your body is telling you the truth. If it seems too good to be true, or you feel very disoriented, this is a sign that you are walking into a toxic situation. 4. If you recognize that you are in a toxic dynamic, don't engage. You will not win. Do whatever it takes to get away (yes this may mean quitting your job). Ann said it best: "don't wrestle with a pig in the mud. You'll get dirty and the pig likes it..." Want to learn more about toxic relationship patterns? Video - Explaining Narcissism to others using the CRAVED Method- https://www.youtube.com/watch?v=M4ypZnVF03M&t=0s Book - Dying for a Paycheck - https://www.amazon.com/Dying-Paycheck-Management-Employee-Performance/dp/0062800922 Webinar Series - Narcissism at Work - https://www.google.com/url?q=https%3A%2F%2Fwww.beaboveleadership.com%2Fwebinar-narcissim-at-work%2F&sa=D&source=docs&ust=1673466459561065&usg=AOvVaw2kZeanDgbw5hIIeIbGD6Nx You can find Ann here ⬇️ LI Link: https://www.linkedin.com/in/ann-betz-a6b31018/ Website: https://www.beaboveleadership.com/ KEEP IN TOUCH

Sara Makin is the founder & CEO of Makin Wellness, Pennsylvania's #1 rated online counseling company. Under her leadership, Makin Wellness has established a proven track record of successfully shaping the mental health market & driving mental health transformation by executing on their mission of helping millions of people heal & become happy again.  She has been featured in major media outlets including NBC, ABC, FOX, The CW, International Business Times, The Scientific Journal and hundreds more media sources internationally.  In today's comprehensive interview, Sara and Sathiya discuss: -The prevalence of anxiety since COVID-19 -Simple ways to resolve relational conflict -The importance of being able to label your emotions -How to pick the right counselor/therapist (and how to avoid the wrong ones) -How to know identify a narcissist Find A Therapist at Makin Wellness Listen to Stuff My Therapist Says Call 833-274-HEAL Get Your Copy of The Last Relapse

Overview:This is a special episode focused on the College's mission tenet of civic engagement and leadership with a specific angle on student leadership. Management consultant and Scholar Alumni Society leader Alayna Auerbach and student leader and fourth year Scholar Mahika Sampat join the show to talk all things student leadership, engagement, and clubs & organizations. Alayna and Mahika share their insights from serving in leadership roles for various groups including the Scholar Alumni Society, THON, Schreyer for Women, and South Asian Student Association. This episode transcends majors and career paths to be a resource for any Scholar, and particularly those serving in any sort of leadership role in a student club or organization, internship, or similar opportunities and how these experiences can influence post-undergraduate opportunities. Guest Bios:Alayna Auerbach '15 Bus is a management consultant based in Brooklyn, NY. She graduated summa cum laude from Penn State's Smeal College of Business earning a BS in Finance with Honors and minors in Economics and Spanish. Alayna works in mergers & acquisitions management consulting since graduating in 2015. She partners with companies across industries to deliver enterprise-wide value in deal transactions, including being a trusted advisor and project leader for executives. Alayna is a mental health advocate and a New York Certified Peer Specialist (Provisional). She volunteers as a mental health helpline responder to connect NYC residents to mental health resources. Alayna is also an executive board member of the Scholar Alumni Society (SAS) where she is the inaugural chair of the Student Engagement Committee. Through SAS, she connects scholars and alumni. Any scholars listening to the podcast should reach out to her to see how their student organizations can increase connection with alumni.Mahika Sampat '23 HHD is a fourth-year Scholar majoring in Biobehavioral Health with minors in Biology and Health Policy and Administration on the pre-medical track in the College of Health of Health and Human Development. She has received the WISER Research Grant, HHD Dummer Research Grant, and Student Leader Scholarship. She is President of South Asian Student Association and Career Development Director for Schreyer for Women for the 2022-2023 academic year. She is passionate about leadership, service, and making an impact at Penn State. Please feel free to connect with her on LinkedIn.Episode Specifics:In this episode, Alayna and Mahika share their perspectives on:· Overcoming preconceived notions of Penn State and enjoying the experience from Day 1· Finding student organizations to join like Schreyer Consulting Group, THON, Schreyer for Women, and South Asian Student Association· Identifying what kinds of opportunities are best for you and your personal and professional interests and passions· Explaining your involvement in clubs and activities to your family· Relational, technical, and other skills you can look to develop as a student leader that will serve you well in any career· Resources and techniques for learning leadership on the fly for new club officers and leaders· Handling setbacks like not being chosen for an officer role or other opportunities· Putting yourself out there and overcoming self-doubt and imposter syndrome to step up as a club leader· Balancing leadership and friendship in a student organization and handling ethical conflicts· Balancing academics and student leadership by asking for help, overcoming perfectionism, and time management· Tools and tips for achieving that organization and time management· Leveraging advisors, alumni, and older students as mentors

Dear AllThank you for listening to Into the Pray. Please consider supporting our publishing work here. You can watch the podcast video of this on YouTube here from 7:30pm this evening. We have no intention of reading the book or following this any more closely, but having watched Harry's interview last night by British journalist Tom Bradby, we felt we should say something about relational breakdown/estrangement and some important things that we've learnt over the last ten years of marriage.- To what extent is Harry and Meghan's charge fair?- To what extent do we agree with what Harry shared?- What does this have to do with the gospel?- What is our opinion on the flat-line in this debacle?We're currently working hard to bring a second book to a public audience. If you would like to help support this seminal work, please see here. Looking for evangelism motivation? See here for ideas. Recent content: Bus Stop Evangelism"REPENT NOW" - The Public RespondBabylon TakeoverThe Great Evangelical DisasterThe Context of the PowerYour thoughts of God Are Too Human. Are You Ananias & Sapphira?If you have any testimonials, please reach out, make contact across the 'digital divide', and let us know!Order our new gospel tract for your parish here. Let's smash this fake gospel up.Our flagship content:

Katie Hanchett kicks off a new sermon series on our church's relational values. What do we mean by Passionate Worship? Jesus said that the Father is seeking those who worship Him in Spirit and in truth. We practice a life of worship that invites the presence of Jesus into all that we say and do.

David Triger Today we talk the work of the RDN in any treatment setting, from LTC, to acute care, and for those who are veterans.  We pull it all together with the psychology of medical nutrition therapy (MNT).  How to help our clients/patients/residents consume the food that will nourish?  It's all about relationships.  And communication is key.  Those Foods? ALL Are Ok  Epigenetics, grace, compassion and full-on medical nutrition therapy (MNT).    David's Seasonings:  *Communication, compassion, empathy and RELATIONSHIP  *Dr Marci Swede – Mentor to David on understanding human genetics –   Article for you with Dr Marci and Tzippi Weiss   “Transforming Preprofessional Health Education Through Relationship-  Centered Care and Narrative Medicine“  *Dr. Gaby “The Book” Nutritional Medicine    Bio:  David Triger, MS, RDN, CDN is a Doctoral Student at the University of Kansas Medical Center, Clinical Nutrition Manager at New York State Veterans Home at St. Albans and Adjunct Professor at Long Island University - Post. Over the past 3 years he has worked in the Long Term Care and the Acute Care settings as a Registered Dietitian working with patients through the lifespan from Pediatrics to Geriatrics. Through his clinical experience, he has seen the need for Clinical Dietitians to have training for their eventual role in the care of patients who present with eating disorder behaviors in a variety of settings.  With your host Beth Harrell  IG  @beth.harrell.cedss    Supervision Freebies   

Pastor (Common Ground NYC), church planter (Kindom Collective), and practitioner of the Circle Way, Chantilly Mers, embodies reverence - in everything from her writings, to singing, to conversations with strangers. In part two of our conversation, our modern ecological crisis; attending to the soil that will cultivate deep reverence; and the power of slowing down.

No matter your age, no matter your background, no matter your challenges, you've got two mindsets. The question is which one do lean towards more? That's what's coming up next the LifePix University podcast episode #379 You've heard of IQ, and EQ, but have you heard of RQ? Relational intelligence is just as important as emotional intelligence, yet for some reason, most people haven't heard about it. So I've teamed up with Dr. Tiffany Farag, to put together a list of 11 ways for you to improve your Relational Intelligence. Grab your copy for free at www.lifepixuniversity.com/RQ

In this episode, we talked to happiness expert Dr. Tal Ben-Shahar about the science of happiness, focusing on his account of happiness as “wholebeing,” comprised of five elements of well-being which make up his “SPIRE” model: Spiritual, Physical, Intellectual, Relational and Emotional well-being.    Tal Ben-Shahar is an author and lecturer who taught two of the largest classes in Harvard University's history, Positive Psychology and The Psychology of Leadership, and taught Happiness Studies at Columbia University. His books on happiness have been translated into more than thirty languages and have appeared on bestseller lists around the world, and his work has featured on media outlets including CNN, BBC and the Daily Show.    Tal obtained his PhD in Organizational Behavior and BA in Philosophy and Psychology from Harvard. Today he consults and lectures around the world to executives in multinational corporations, including Google and Microsoft, the general public, and at-risk populations. Tal is a serial entrepreneur, and is the co-founder and chief learning officer of Happiness Studies Academy, Potentialife, Maytiv, and Happier.TV.    Key conversation points: How Tal defines happiness and its relation to flourishing: flourishing is the outcome of happiness The relation between Tal's “SPIRE” model of happiness and flourishing, and between happiness and wholeness Tal's definition of spirituality as living a life in which we see our activities as meaningful and purposeful Practices for building spiritual wellbeing: exercise to write down a “calling description” rather than a job description Tal's criticism of widespread hurriedness today, and a strategy for going through life in less of a hurry  The connection between happiness and “antifragility”  Antifragility as “Resilience 2.0,” and its connection with post-traumatic growth: not only bouncing back, but becoming stronger and healthier than before A principle Tal recommends for recovering from trauma: “things don't happen for the best, but we can make the best of things that happen,” and how to apply this to our lives The connection between physical exercise and happiness: “not exercising is like taking a depressant”   talbenshahar.com happinessstudies.academy flourishfmpodcast.com

In this episode of Regulated and Relational, Julie and Ginger invite long-time ATN friend, Dr. Melissa Sadin into the studio. Simply put, Dr. Sadin is a developmental trauma expert. Along with being a published author, Dr. Sadin also works as an educational consultant providing professional development to school districts and parents. She is a highly sought-after keynote speaker and conference presenter. Melissa was a core member of the creation of ATN's Trauma Informed-Education program, the largest gathering of Trauma-Informed Educators dedicated to building Trauma-Reformed schools. Melissa's latest book is titled Trauma Informed Teaching and IEPs: Strategies for Building Student Resilience. In her book, Dr. Sadin outlines her CARES framework. She discusses each area of this framework, and she provides us with direct examples of the implementation. Melissa says, “A trauma informed IEP is simply an IEP written by trauma informed people.” To learn more about Melissa's work, visit her website at www.Traumasensitive.com. To order her book, go to ATN's bookshop: https://bookshop.org/shop/AttachmentTraumaNetwork. Here you will find a great collection of trauma-informed resources. And for you parents – this book has great resources for use in the home as well!

Hey Sis: Happy New You! It's a new year and now its time to make some changes. In this episode, I will discuss ways we can Level Up in 2023. We will explore our Spiritual, Physical, Mental and Relational lives and how we can become better versions of ourselves. Share with podcast with your sister tribe. Send your comments and special requests to standinginsidemyself6@gmail.com Beautifully Better, Katrina The Beautifully Seasoned Podcast can be found on all podcast platforms. Website: www.beautifullyseasonedyou.com Patreon: https://patreoncom/beautifullyseasoned Book: Standing Inside Myself-A Journey of Self-Love, Wisdom, Power & Purpose --- Send in a voice message: https://anchor.fm/katrina-garrett9/message Support this podcast: https://anchor.fm/katrina-garrett9/support

On this episode of Tips and Tricks Podcast, I speak with Jolene Hermanson. Jolene is a professional Geoscientist (Hydrogeologist) turned Life Coach. She helps empower women in STEM to set and achieve personal and professional goals and prioritize their own deep health and well-being so they can have more energy, confidence, and impact on the world.   Deep health is when ALL the dimensions of your health are in sync, not just the physical. The six dimensions of deep health are: 1. Physical health 2. Mental health 3. Emotional health 4. Relational health 5. Environmental health 6. Existential health (sense of deep meaning and purpose) Her core philosophy is that our deep health impacts all the aspects of our lives, including how we show up in our career and in our relationships. It impacts how we think, respond, solve problems, and deal with the world around us. This set the stage for a perfect show! Jolene's passion for helping Women and my passion for moving people was a perfect blend. Tune in as we talk like old friends, see what makes us rethink the health industry and listen in on the question that forces me to speak my purpose. Enjoy! --- Send in a voice message: https://anchor.fm/tipsandtricksforlife/message Support this podcast: https://anchor.fm/tipsandtricksforlife/support

Hey Success School Makers! Are you having a hard time hitting your fundraising goal? Tune in now as Mr. Brad Layland, CEO of The Focus Group, shares how a relational approach to fundraising helps grow your school's funding and build long-term relationships with donors. #SchoolSuccess #SchoolSuccessMakers -- Every week on The School Success Podcast, digital marketing agency owner Mitchell Slater interviews school leaders and game-changers in the education sector. Never miss an episode and follow The School Success Podcast on Apple Podcasts, Spotify, Stitcher, or wherever you enjoy podcasts. This podcast is powered by Slater Strategies, a marketing agency committed to helping schools grow their enrollment and connect better with the families in their communities. Find out more at https://schoolsuccessmakers.com. Highlights of the Episode [02:10] I'm the CEO of the focus [04:21] Christian Ministry called Young Life [06:11] 250 million campaign that we launched [08:34] you need to raise 275 million [09:37] Or to start a STEM program or Dubai campus [14:19] potential to give a few hundred dollars [15:17] We have to raise $350,000 [18:12] donor who was giving you 10,000 a year [20:46] Catholic school had 90% of its students [23:13] divided the football field into a hundred different squares [24:51] That's like $3,000 [27:28] January or February of $25,000 [32:30] cow crapping on a football field [34:47] we raised 60, $70,000 a year [36:41] Veritas Classical School in St. Augustine [40:11] I was to ask Oprah to give a modest gift to something YouTube Video Podcast Link: https://youtu.be/26o75EKhI8g

This week, Karin sits down with Vanessa Scaringi, PhD, CEDS and Kathryn Garland, LCSW-S, co-owners of CALM Counseling, in our newest episode (and first sprinkle), ”Relational Ramblings.”Visit keepcalmatx.com and follow @calmcounselingatx on Instagram for more.Begin your healing journey with Karin and her team now!

Support the show to get full episodes and join the Discord community. Mariam Aly runs the Aly lab at Columbia University, where she studies the interaction of memory, attention, and perception in brain regions like the hippocampus. The short story is that memory affects our perceptions, attention affects our memories, memories affect our attention, and these effects have signatures in neural activity measurements in our hippocampus and other brain areas. We discuss her experiments testing the nature of those interactions. We also discuss a particularly difficult stretch in Mariam's graduate school years, and how she now prioritizes her mental health. Aly Lab. Twitter: @mariam_s_aly. Related papers Attention promotes episodic encoding by stabilizing hippocampal representations. The medial temporal lobe is critical for spatial relational perception. Cholinergic modulation of hippocampally mediated attention and perception. Preparation for upcoming attentional states in the hippocampus and medial prefrontal cortex. How hippocampal memory shapes, and is shaped by, attention. Attentional fluctuations and the temporal organization of memory. 0:00 - Intro 3:50 - Mariam's background 9:32 - Hippocampus history and current science 12:34 - hippocampus and perception 13:42 - Relational information 18:30 - How much memory is explicit? 22:32 - How attention affects hippocampus 32:40 - fMRI levels vs. stability 39:04 - How is hippocampus necessary for attention 57:00 - How much does attention affect memory? 1:02:24 - How memory affects attention 1:06:50 - Attention and memory relation big picture 1:07:42 - Current state of memory and attention 1:12:12 - Modularity 1:17:52 - Practical advice to improve attention/memory 1:21:22 - Mariam's challenges

"The research is clear. Our relationships are the biggest determinant of our happiness, yet we're never taught how to do them."Dr. Alexandra Solomon is a teacher, therapist, and author of two books. She has become one of today's most trusted voices in the world of relationships, and her work on relational self awareness has reached millions of people around the world.In this episode, Dr. Solomon talks with Lara about the importance of relational self-awareness and how it is the key to happiness in relationships. She explains that it is important to understand how our experiences in childhood shape our relationship with ourselves and how those patterns show up in our adult relationships. Listen in for Dr. Solomon's tactics and thoughts on longer-term work such as journaling, therapy, and self-reflection.In this episode, you will learn the following:How our relationships with ourselves shape our relationships with othersHow our early experiences shape our adult relationshipsHow you can identify your Relationship SuperpowerResources Mentioned:Dr. Alexandra Solomon's Website - http://dralexandrasolomon.com/Dr. Solomon's Podcast - Reimagining Love - https://dralexandrasolomon.com/podcast/Dr. Solomon's Books - Loving Bravely: 20 Lessons of Self-Discovery to Help You Get the Love You Want and Taking Sexy Back: How to Own Your Sexuality & Create the Relationships You Want - https://dralexandrasolomon.com/book/Relationship Superpower Quiz - https://dralexandrasolomon.com/rsa-quiz/Connect with the Guest:Instagram - @dr.alexandra.solomonConnect with LYT Daily and Lara Heimann:Instagram Lara Heimann - https://www.instagram.com/lara.heimann/Facebook Lara Heimann - https://www.facebook.com/lara.f.heimannInstagram LYT Yoga - https://www.instagram.com/lytyogamethod/Facebook LYT Yoga - https://www.facebook.com/lytyogamethodSponsor: Get 20% off Naboso products at www.naboso.com with code LYTYOGA. Hosted on Acast. See acast.com/privacy for more information.

LookHere Matching & Play No Games Presents: Relational Dynamics. Discussion surrounding the complexity of navigating modern day dating IG: @lookhere.fri ________________________________________________________________________ https://open.spotify.com/show/2NNGYTt... https://podcasts.apple.com/us/podcast... Follow us on our IG page : lookhere.fri We have Audio only on Spotify: https://open.spotify.com/show/5P0jSBq... Check US out on IG https://www.instagram.com/lookhere.fri/ #relationshipadvice #healthylifestyle #firstdates

Molly Kulig from the Canon Law Tribunal joins us.0:30:   Mike confesses that he shortchanged Molly last time.1:00:   Jesus calls us to love others as we love ourselves.  But what if we struggle with loving ourselves.1:30:  Molly breaks down how we're called to balance love of self and love of neighbor.3:00:  Mike adds that we often overdo it when we put others ahead of oursleves.4:00:  Fr. Damian reminds us we're called to love God first, but to love ourselves as God loves us.5:16:  We reflect on:  "Lord I am not worthy..."--remember the 2nd part.6:01:   What's the Biblical origin of that.6:16:  We reflect on "Look not on our sins...but on our faith."7:38:  We reflect on the chaos and humility of Christ's birth.8:50:   Why is it easier to love others and not love oursleves?10:06:   This is central to work with young adults who struggle with this notion.10:39:  Do we have secret parts of ourselves that we think are awful?11:38:   Or is it an "if only I were"....12:05:   Transactional vs. Relational....also conditional.....13:03:   Pope Francis' take on this....13:24:   What about marriage?   If only I were married.14:00:  What about sacrifice?  What is love really about?15:00:  Love is an act of the will.15:56:   On Fr. Damian's parents and the love of God.16:30:  What about the Incarnation?17:13:   What about the Eucharist?18:12:  Like and review the show and share it with someone who you think needs to hear this conversation and experience the love of God.19:00:  Mollie takes us to Queen of Heaven in Uniontown, OH.19:58:  Readings for Midnight Mass can be found here.    

In this episode, La Shanda and her guest Akilah Riley-Richardson, discuss imagination, the impact of colonialism, and BIPOC Relational Healing Institute. For more information about Akilah: akilahrileyrichardson.com Facebook: https://www.facebook.com/akilahrrichardson Instagram: https://www.instagram.com/akilah.rileyrichardson/ LinkedIn: https://www.linkedin.com/in/akilah-riley-richardson-35123728/ Special Offer: Visit lilacandindigo.com and use the code LOLPOD to receive 15% of their products/services! For more information about Labors of Love: www.thelaborsoflove.com www.patreon.com/LaborsOfLove Facebook: Labors of Love Counseling and Consulting Twitter: @LaborsofLove513 Instagram: @LaborsofLove513 @the_lol_pod Tik Tok: @labors.of.love YouTube: Labors of Love Counseling and Consulting LLC --- Support this podcast: https://anchor.fm/thelaborsoflove/support

Although emotional intelligence is important in developing positive relationships, it is only one piece of the puzzle. Some of the factors that contribute to long-lasting relationships are establishing rapport, developing trust, and embracing inclusivity or diversity. In this episode, Dr. Adam C. Bandelli talks about his research on the pros and cons of emotional intelligence and how this can make or break your relationships. He then introduces the concept of relational intelligence, going through each of its five essential skills.  Relational intelligence, sometimes referred to as social intelligence, is the capacity to perceive, understand, and navigate emotions in oneself and others, and to use this awareness to effectively communicate and interact with others. Dr. Bandelli, emphasizes that by developing your relational intelligence, you can improve your communication skills, build strong relationships, and effectively navigate social situations. Founder and Managing Director of Bandelli & Associates, Dr. Adam C. Bandelli is an organizational psychologist and seasoned leadership advisor with over twenty years of corporate consulting experience. In his latest book, "Relational Intelligence," he details the five essential skills he has found to create life-changing relationships. Adam received his Ph.D. and master's degree from the University of South Florida and now runs Bandelli & Associates, where he and his consultants help their clients unleash their true leadership potential. Check out the transcript of this episode on Dr. Jessica Higgin's website. In this episode 7:14 Guest introduction: An athlete turned psychologist/leadership advisor. 10:12 Emotional intelligence plays a role in creating strong relationships. 12:30 Define relational intelligence and the five essential skills for developing life-changing relationships. 12:50 Building rapport: The ability to use energy to make a positive first impression on others. 18:04 Investing in deepening relationships through time and effort. 22:07 Celebrating diversity and inclusion. 19:08 Understanding and connecting with others. 40:56 Information on how listeners can access resources to support them in improving their communication and negotiating skills in relationships. Mentioned Relational Intelligence; The Five Essential Skills You Need to Build Life-Changing Relationships (*Amazon Affiliate link) (book) Facilitating Communication and Effective Interpersonal Relationships at Work: A Theoretical Model of Socio-Affective Competence (dissertation) Shifting Criticism For Connected Communication ERP 336: Strengthen Your Relationship with 5 Daily Practices — An Interview with John David & Ana Gabriel Mann Connect with Dr. Adam C. Bandelli Websites: bandelliandassociates.com Twitter: twitter.com/abandelli YouTube: youtube.com/channel/UCDhhamF26lfFqe8UAsEFv4g/featured Instagram: instagram.com/adambandelli LinkedIn: linkedin.com/in/adambandelli Connect with Dr. Jessica Higgins Facebook: facebook.com/EmpoweredRelationship  Instagram: instagram.com/drjessicahiggins  Podcast: drjessicahiggins.com/podcasts/ Pinterest: pinterest.com/EmpowerRelation  LinkedIn: linkedin.com/in/drjessicahiggins  Twitter: @DrJessHiggins  Website: drjessicahiggins.com   Email: jessica@drjessicahiggins.com If you have a topic you would like me to discuss, please contact me by clicking on the “Ask Dr. Jessica Higgins” button here.  Thank you so much for your interest in improving your relationship.  Also, I would so appreciate your honest rating and review. Please leave a review by clicking here.  Thank you!   *With Amazon Affiliate Links, I may earn a few cents from Amazon, if you purchase the book from this link.  

Have you ever struggled with relationships? Don't worry, we've all been there! But the good news is that building emotionally healthy relationships with the things we want to change in our lives can be a fun and rewarding journey. So don't give up! This episode is all about sharing tips and strategies to help you navigate those tricky relationship waters and find lasting fulfillment. Trust us, it'll be so worth it in the end.Show Notes: https://enjoycowellness.com/podcasts/relational-patterns-40Pre-Order Start From Joy Today: https://enjoycowellness.com/book/

Rowen White (she/her) is a Seed Keeper and farmer from the Mohawk community of Akwesasne and a passionate activist for Indigenous seed and food sovereignty. She is the Educational Director and lead mentor of Sierra Seeds, an innovative Indigenous seed bank and land-based educational organization located in Nevada City, CA. Rowen is also the Founder of the Indigenous Seed Keepers Network, which is committed to restoring the Indigenous Seed Commons.In this episode, Emily and Rowen discuss the intersection between food sovereignty and cultural revitalization, creating an intimate relationship with seeds and food, and using radical imagination to create a kincentric food system.You can learn more about Rowen on Instagram or Twitter, and visit the Sierra Seeds website and the Native American Food Sovereignty Alliance website for more information.You can find full transcripts, links, and other information on our website.

In this episode, we chat about relational pain and difficulty and how to move toward relational repair.

Clementine Morrigan is a writer, podcaster, socialist, and trauma educator. Clementine embodies their teaching, sharing, and perspective in courageous trauma-informed work, specifically addressing the shame-based dynamics of what is presently referred to as "cancel culture." They strongly advocate for a new understanding of the dynamics of cancel culture, elaborating how publicly canceling fellow human beings impacts individuals and communities.  Clementine shares about the psychological impact on individuals and how trauma-informed therapists can play a role in individual healing and relational repair. They present the concept of the "Nexus," a synthesis of identitarianism, social media, and cancel culture, and the traumatogenic nature of this synthesis. About: Clementine Morrigan has been writing and publishing for over 20 years, having written several zines and books. They are also a podcaster as one half of the podcast F-ing Cancelled. They're the creator of the popular Trauma Informed Polyamory workshop and several other workshops. She is a trauma educator, an opposer of cancel culture, a sex educator, a person living with complex PTSD, a sober alcoholic, and a proud dog mom to Clover "the dog" Morrigan. Learn More: clementinemorrigan.com patreon.com/clementinemorrigan f-ingcancelled.libsyn.com To read the full show notes and discover more resources visit https://www.narmtraining.com/podcast *** NARM Training Institute https://www.NARMtraining.com View upcoming trainings: https://narmtraining.com/schedule Join the Inner Circle: https://narmtraining.com/online-learning/inner-circle Sign up for a free preview of The NARM Inner Circle Online Membership Program: https://www.narmtraining.com/freetrial *** The NARM Training Institute provides tools for transforming complex trauma through: in-person and online trainings for mental health care professionals; in-person and online workshops on complex trauma and how it interplays with areas like addiction, parenting, and cultural trauma; an online self-paced learning program, the NARM Inner Circle; and other trauma-informed learning resources.   We want to connect with you! Facebook @NARMtraining YouTube Instagram @thenarmtraininginstitute

This week, Jonathan Foster joins us to discuss his new book "Theology of Consent: Mimetic Theory in an Open and Relational Universe". Foster has made the first published attempt at bringing these two powerful ideas together! This conversation only scratched the surface... be sure to pick up a copy of his new book. Enjoy. Resources: Theology of Consent (Book) Join Our Patreon!

Theologian, author, and speaker Dr. Tom Oord joins Joe for a conversation about Open and Relational Theology, why it's attractive to people experiencing spiritual and religious deconstruction, and what it means to say "God can't"...and what the movie The Princess Bride has to do with it all. Learn more at https://c4ort.com/ 

(Insight Meditation Society - Retreat Center)

Sympathetic joy may sound like a... funny kind of element. But it is surprisingly powerful. This element encourages us to join in with all the joy that is around us. That means when someone else (like any of the 8 billion folks on the planet) is experiencing happiness or some good fortune, we can participate. And that participation can give us the emotional and physical health benefits, just as if we had experienced the happiness or good fortune ourselves. In this episode, Drs. Emmons and Prasek talk more about this element, some common obstacles, and offer a few key strategies to apply it in your life.    Key Takeaways: Emotions are contagious... meaning we can catch moments of happiness from others. That's what sympathetic joy is all about. Joining in with the happiness that you see around you so that you feel that happiness in you as well.   As the Dalai Lama said: “Why rely just on your own good fortune to be happy?  If there are 8 billion people in the world, and you can be happy for their good fortune, then you have just increased your chances of being happy by 8 billion times!” One obstacle to sympathetic joy is simply the lack of attention to it. One important way to boost wellbeing is to ensure you have "relational diversity of one's social portfolio." That sounds way more complicated than it is.. essentially it means having a mix of interactions and relationships with people who you feel close to and also with those who you feel not so close too. This diverse social network is better than just interacting with a small group of close friends and/or family.  You can implement the Kevin Bacon effect to boost your wellbeing...tune in for more. One key strategy to put this element into practice is to focus on 1-3 people who you feel demonstrate happiness or another quality that just makes you feel good when you think about them. Sit with that quality that they have and really tap into how it shows up for them and how it makes you feel. Maybe even tell them that this quality is something that rubs off on you as well. That's the power of sympathetic joy!    Links Mentioned: Joy Lab Program (step-by-step practices to help you build and maintain the elements of joy in your life) Joy Lab podcast episode 9 (Sympathetic Joy: Happiness Goes Viral) Joy Lab podcast episode 30 (Gratitude in the Wild: See What Is) Joy Lab podcast episode 25 (Learning to Love Well: Create a House of Belonging- discussing Dunbar's number and numbers of friendships for wellbeing) Relational diversity in social portfolios predicts well-being (Collins, et al., 2022)   Full transcript available at: https://www.naturalmentalhealth.com/podcasts/joy-lab-podcast/episodes/2147812914

About RamDr. Ram Sriharsha held engineering, product management, and VP roles at the likes of Yahoo, Databricks, and Splunk. At Yahoo, he was both a principal software engineer and then research scientist; at Databricks, he was the product and engineering lead for the unified analytics platform for genomics; and, in his three years at Splunk, he played multiple roles including Sr Principal Scientist, VP Engineering and Distinguished Engineer.Links Referenced: Pinecone: https://www.pinecone.io/ XKCD comic: https://www.explainxkcd.com/wiki/index.php/1425:_Tasks TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored in part by our friends at Chronosphere. Tired of observability costs going up every year without getting additional value? Or being locked into a vendor due to proprietary data collection, querying, and visualization? Modern-day, containerized environments require a new kind of observability technology that accounts for the massive increase in scale and attendant cost of data. With Chronosphere, choose where and how your data is routed and stored, query it easily, and get better context and control. 100% open-source compatibility means that no matter what your setup is, they can help. Learn how Chronosphere provides complete and real-time insight into ECS, EKS, and your microservices, wherever they may be at snark.cloud/chronosphere that's snark.cloud/chronosphere.Corey: This episode is brought to you in part by our friends at Veeam. Do you care about backups? Of course you don't. Nobody cares about backups. Stop lying to yourselves! You care about restores, usually right after you didn't care enough about backups. If you're tired of the vulnerabilities, costs, and slow recoveries when using snapshots to restore your data, assuming you even have them at all living in AWS-land, there is an alternative for you. Check out Veeam, that's V-E-E-A-M for secure, zero-fuss AWS backup that won't leave you high and dry when it's time to restore. Stop taking chances with your data. Talk to Veeam. My thanks to them for sponsoring this ridiculous podcast.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Today's promoted guest episode is brought to us by our friends at Pinecone and they have given their VP of Engineering and R&D over to suffer my various sling and arrows, Ram Sriharsha. Ram, thank you for joining me.Ram: Corey, great to be here. Thanks for having me.Corey: So, I was immediately intrigued when I wound up seeing your website, pinecone.io because it says right at the top—at least as of this recording—in bold text, “The Vector Database.” And if there's one thing that I love, it is using things that are not designed to be databases as databases, or inappropriately referring to things—be they JSON files or senior engineers—as databases as well. What is a vector database?Ram: That's a great question. And we do use this term correctly, I think. You can think of customers of Pinecone as having all the data management problems that they have with traditional databases; the main difference is twofold. One is there is a new data type, which is vectors. Vectors, you can think of them as arrays of floats, floating point numbers, and there is a new pattern of use cases, which is search.And what you're trying to do in vector search is you're looking for the nearest, the closest vectors to a given query. So, these two things fundamentally put a lot of stress on traditional databases. So, it's not like you can take a traditional database and make it into a vector database. That is why we coined this term vector database and we are building a new type of vector database. But fundamentally, it has all the database challenges on a new type of data and a new query pattern.Corey: Can you give me an example of what, I guess, an idealized use case would be of what the data set might look like and what sort of problem you would have in a vector database would solve?Ram: A very great question. So, one interesting thing is there's many, many use cases. I'll just pick the most natural one which is text search. So, if you're familiar with the Elastic or any other traditional text search engines, you have pieces of text, you index them, and the indexing that you do is traditionally an inverted index, and then you search over this text. And what this sort of search engine does is it matches for keywords.So, if it finds a keyword match between your query and your corpus, it's going to retrieve the relevant documents. And this is what we call text search, right, or keyword search. You can do something similar with technologies like Pinecone, but what you do here is instead of searching our text, you're searching our vectors. Now, where do these vectors come from? They come from taking deep-learning models, running your text through them, and these generate these things called vector embeddings.And now, you're taking a query as well, running them to deep-learning models, generating these query embeddings, and looking for the closest record embeddings in your corpus that are similar to the query embeddings. This notion of proximity in this space of vectors tells you something about semantic similarity between the query and the text. So suddenly, you're going beyond keyword search into semantic similarity. An example is if you had a whole lot of text data, and maybe you were looking for ‘soda,' and you were doing keyword search. Keyword search will only match on variations of soda. It will never match ‘Coca-Cola' because Coca-Cola and soda have nothing to do with each other.Corey: Or Pepsi, or pop, as they say in the American Midwest.Ram: Exactly.Corey: Yeah.Ram: Exactly. However, semantic search engines can actually match the two because they're matching for intent, right? If they find in this piece of text, enough intent to suggest that soda and Coca-Cola or Pepsi or pop are related to each other, they will actually match those and score them higher. And you're very likely to retrieve those sort of candidates that traditional search engines simply cannot. So, this is a canonical example, what's called semantic search, and it's known to be done better by these other vector search engines. There are also other examples in say, image search. Just if you're looking for near duplicate images, you can't even do this today without a technology like vector search.Corey: What is the, I guess, translation or conversion process of existing dataset into something that a vector database could use? Because you mentioned it was an array of floats was the natural vector datatype. I don't think I've ever seen even the most arcane markdown implementation that expected people to wind up writing in arrays of floats. What does that look like? How do you wind up, I guess, internalizing or ingesting existing bodies of text for your example use case?Ram: Yeah, this is a very great question. This used to be a very hard problem and what has happened over the last several years in deep-learning literature, as well as in deep-learning as a field itself, is that there have been these large, publicly trained models, examples will be OpenAI, examples will be the models that are available in Hugging Face like Cohere, and a large number of these companies have come forward with very well trained models through which you can pass pieces of text and get these vectors. So, you no longer have to actually train these sort of models, you don't have to really have the expertise to deeply figured out how to take pieces of text and build these embedding models. What you can do is just take a stock model, if you're familiar with OpenAI, you can just go to OpenAIs homepage and pick a model that works for you, Hugging Face models, and so on. There's a lot of literature to help you do this.Sophisticated customers can also do something called fine-tuning, which is built on top of these models to fine-tune for their use cases. The technology is out there already, there's a lot of documentation available. Even Pinecone's website has plenty of documentation to do this. Customers of Pinecone do this [unintelligible 00:07:45], which is they take piece of text, run them through either these pre-trained models or through fine-tuned models, get the series of floats which represent them, vector embeddings, and then send it to us. So, that's the workflow. The workflow is basically a machine-learning pipeline that either takes a pre-trained model, passes them through these pieces of text or images or what have you, or actually has a fine-tuning step in it.Corey: Is that ingest process something that not only benefits from but also requires the use of a GPU or something similar to that to wind up doing the in-depth, very specific type of expensive math for data ingestion?Ram: Yes, very often these run on GPUs. Sometimes, depending on budget, you may have compressed models or smaller models that run on CPUs, but most often they do run on GPUs, most often, we actually find people make just API calls to services that do this for them. So, very often, people are actually not deploying these GPU models themselves, they are maybe making a call to Hugging Face's service, or to OpenAI's service, and so on. And by the way, these companies also democratized this quite a bit. It was much, much harder to do this before they came around.Corey: Oh, yeah. I mean, I'm reminded of the old XKCD comic from years ago, which was, “Okay, I want to give you a picture. And I want you to tell me it was taken within the boundaries of a national park.” Like, “Sure. Easy enough. Geolocation information is attached. It'll take me two hours.” “Cool. And I also want you to tell me if it's a picture of a bird.” “Okay, that'll take five years and a research team.”And sure enough, now we can basically do that. The future is now and it's kind of wild to see that unfolding in a human perceivable timespan on these things. But I guess my question now is, so that is what a vector database does? What does Pinecone specifically do? It turns out that as much as I wish it were otherwise, not a lot of companies are founded on, “Well, we have this really neat technology, so we're just going to be here, well, in a foundational sense to wind up ensuring the uptake of that technology.” No, no, there's usually a monetization model in there somewhere. Where does Pinecone start, where does it stop, and how does it differentiate itself from typical vector databases? If such a thing could be said to exist yet.Ram: Such a thing doesn't exist yet. We were the first vector database, so in a sense, building this infrastructure, scaling it, and making it easy for people to operate it in a SaaS fashion is our primary core product offering. On top of that, this very recently started also enabling people who have who actually have raw text to not just be able to get value from these vector search engines and so on, but also be able to take advantage of traditional what we call keyword search or sparse retrieval and do a combined search better, in Pinecone. So, there's value-add on top of this that we do, but I would say the core of it is building a SaaS managed platform that allows people to actually easily store as data, scale it, query it in a way that's very hands off and doesn't require a lot of tuning or operational burden on their side. This is, like, our core value proposition.Corey: Got it. There's something to be said for making something accessible when previously it had only really been available to people who completed the Hello World tutorial—which generally resembled a doctorate at Berkeley or Waterloo or somewhere else—and turn it into something that's fundamentally, click the button. Where on that, I guess, a spectrum of evolution do you find that Pinecone is today?Ram: Yeah. So, you know, prior to Pinecone, we didn't really have this notion of a vector database. For several years, we've had libraries that are really good that you can pre-train on your embeddings, generate this thing called an index, and then you can search over that index. There is still a lot of work to be done even to deploy that and scale it and operate it in production and so on. Even that was not being, kind of, offered as a managed service before.What Pinecone does which is novel, is you no longer have to have this pre-training be done by somebody, you no longer have to worry about when to retrain your indexes, what to do when you have new data, what to do when there is deletions, updates, and the usual data management operations. You can just think of this is, like, a database that you just throw your data in. It does all the right things for you, you just worry about querying. This has never existed before, right? This is—it's not even like we are trying to make the operational part of something easier. It is that we are offering something that hasn't existed before, at the same time, making it operationally simple.So, we're solving two problems, which is we building a better database that hasn't existed before. So, if you really had this sort of data management problems and you wanted to build an index that was fresh that you didn't have to super manually tune for your own use cases, that simply couldn't have been done before. But at the same time, we are doing all of this in a cloud-native fashion; it's easy for you to just operate and not worry about.Corey: You've said that this hasn't really been done before, but this does sound like it is more than passingly familiar specifically to the idea of nearest neighbor search, which has been around since the '70s in a bunch of different ways. So, how is it different? And let me of course, ask my follow-up to that right now: why is this even an interesting problem to start exploring?Ram: This is a great question. First of all, nearest neighbor search is one of the oldest forms of machine learning. It's been known for decades. There's a lot of literature out there, there are a lot of great libraries as I mentioned in the passing before. All of these problems have primarily focused on static corpuses. So basically, you have a set of some amount of data, you want to create an index out of it, and you want to query it.A lot of literature has focused on this problem. Even there, once you go from small number of dimensions to large number of dimensions, things become computationally far more challenging. So, traditional nearest neighbor search actually doesn't scale very well. What do I mean by large number of dimensions? Today, deep-learning models that produce image representations typically operate in 2048 dimensions of photos [unintelligible 00:13:38] dimensions. Some of the OpenAI models are even 10,000 dimensional and above. So, these are very, very large dimensions.Most of the literature prior to maybe even less than ten years back has focused on less than ten dimensions. So, it's like a scale apart in dealing with small dimensional data versus large dimensional data. But even as of a couple of years back, there hasn't been enough, if any, focus on what happens when your data rapidly evolves. For example, what happens when people add new data? What happens if people delete some data? What happens if your vectors get updated? These aren't just theoretical problems; they happen all the time. Customers of ours face this all the time.In fact, the classic example is in recommendation systems where user preferences change all the time, right, and you want to adapt to that, which means your user vectors change constantly. When even these sort of things change constantly, you want your index to reflect it because you want your queries to catch on to the most recent data. [unintelligible 00:14:33] have to reflect the recency of your data. This is a solved problem for traditional databases. Relational databases are great at solving this problem. A lot of work has been done for decades to solve this problem really well.This is a fundamentally hard problem for vector databases and that's one of the core focus areas [unintelligible 00:14:48] painful. Another problem that is hard for these sort of databases is simple things like filtering. For example, you have a corpus of say product images and you want to only look at images that maybe are for the Fall shopping line, right? Seems like a very natural query. Again, databases have known and solved this problem for many, many years.The moment you do nearest neighbor search with these sort of constraints, it's a hard problem. So, it's just the fact that nearest neighbor search and lots of research in this area has simply not focused on what happens to that, so those are of techniques when combined with data management challenges, filtering, and all the traditional challenges of a database. So, when you start doing that you enter a very novel area to begin with.Corey: This episode is sponsored in part by our friends at Redis, the company behind the incredibly popular open-source database. If you're tired of managing open-source Redis on your own, or if you are looking to go beyond just caching and unlocking your data's full potential, these folks have you covered. Redis Enterprise is the go-to managed Redis service that allows you to reimagine how your geo-distributed applications process, deliver and store data. To learn more from the experts in Redis how to be real-time, right now, from anywhere, visit snark.cloud/redis. That's snark dot cloud slash R-E-D-I-S.Corey: So, where's this space going, I guess is sort of the dangerous but inevitable question I have to ask. Because whenever you talk to someone who is involved in a very early stage of what is potentially a transformative idea, it's almost indistinguishable from someone who is whatever the polite term for being wrapped around their own axle is, in a technological sense. It's almost a form of reverse Schneier's Law of anyone can create an encryption algorithm that they themselves cannot break. So, the possibility that this may come back to bite us in the future if it turns out that this is not potentially the revelation that you see it as, where do you see the future of this going?Ram: Really great question. The way I think about it is, and the reason why I keep going back to databases and these sort of ideas is, we have a really great way to deal with structured data and structured queries, right? This is the evolution of the last maybe 40, 50 years is to come up with relational databases, come up with SQL engines, come up with scalable ways of running structured queries on large amounts of data. What I feel like this sort of technology does is it takes it to the next level, which is you can actually ask unstructured questions on unstructured data, right? So, even the couple of examples we just talked about, doing near duplicate detection of images, that's a very unstructured question. What does it even mean to say that two images are nearly duplicate of each other? I couldn't even phrase it as kind of a concrete thing. I certainly cannot write a SQL statement for it, but I cannot even phrase it properly.With these sort of technologies, with the vector embeddings, with deep learning and so on, you can actually mathematically phrase it, right? The mathematical phrasing is very simple once you have the right representation that understands your image as a vector. Two images are nearly duplicate if they are close enough in the space of vectors. Suddenly you've taken a problem that was even hard to express, let alone compute, made it precise to express, precise to compute. This is going to happen not just for images, not just for semantic search, it's going to happen for all sorts of unstructured data, whether it's time series, where it's anomaly detection, whether it's security analytics, and so on.I actually think that fundamentally, a lot of fields are going to get disrupted by this sort of way of thinking about things. We are just scratching the surface here with semantic search, in my opinion.Corey: What is I guess your barometer for success? I mean, if I could take a very cynical point of view on this, it's, “Oh, well, whenever there's a managed vector database offering from AWS.” They'll probably call it Amazon Basics Vector or something like that. Well, that is a—it used to be a snarky observation that, “Oh, we're not competing, we're just validating their market.” Lately, with some of their competitive database offerings, there's a lot more truth to that than I suspect AWS would like.Their offerings are nowhere near as robust as what they pretend to be competing against. How far away do you think we are from the larger cloud providers starting to say, “Ah, we got the sense there was money in here, so we're launching an entire service around this?”Ram: Yeah. I mean, this is a—first of all, this is a great question. There's always something that's constantly, things that any innovator or disrupter has to be thinking about, especially these days. I would say that having a multi-year head, start in the use cases, in thinking about how this system should even look, what sort of use cases should it [unintelligible 00:19:34], what the operating points for the [unintelligible 00:19:37] database even look like, and how to build something that's cloud-native and scalable, is very hard to replicate. Meaning if you look at what we have already done and kind of tried to base the architecture of that, you're probably already a couple of years behind us in terms of just where we are at, right, not just in the architecture, but also in the use cases in where this is evolving forward.That said, I think it is, for all of these companies—and I would put—for example, Snowflake is a great example of this, which is Snowflake needn't have existed if Redshift had done a phenomenal job of being cloud-native, right, and kind of done that before Snowflake did it. In hindsight, it seems like it's obvious, but when Snowflake did this, it wasn't obvious that that's where everything was headed. And Snowflake built something that's very technologically innovative, in a sense that it's even now hard to replicate. Plus, it takes a long time to replicate something like that. I think that's where we are at.If Pinecone does its job really well and if we simply execute efficiently, it's very hard to replicate that. So, I'm not super worried about cloud providers, to be honest, in this space, I'm more worried about our execution.Corey: If it helps anything, I'm not very deep into your specific area of the world, obviously, but I am optimistic when I hear people say things like that. Whenever I find folks who are relatively early along in their technological journey being very concerned about oh, the large cloud provider is going to come crashing in, it feels on some level like their perspective is that they have one weird trick, and they were able to crack that, but they have no defensive mode because once someone else figures out the trick, well, okay, now we're done. The idea of sustained and lasting innovation in a space, I think, is the more defensible position to take, with the counterargument, of course, that that's a lot harder to find.Ram: Absolutely. And I think for technologies like this, that's the only solution, which is, if you really want to avoid being disrupted by cloud providers, I think that's the way to go.Corey: I want to talk a little bit about your own background. Before you wound up as the VP of R&D over at Pinecone, you were in a bunch of similar… I guess, similar styled roles—if we'll call it that—at Yahoo, Databricks, and Splunk. I'm curious as to what your experience in those companies wound up impressing on you that made you say, “Ah, that's great and all, but you know what's next? That's right, vector databases.” And off, you went to Pinecone. What did you see?Ram: So, first of all, in was some way or the other, I have been involved in machine learning and systems and the intersection of these two for maybe the last decade-and-a-half. So, it's always been something, like, in the in between the two and that's been personally exciting to me. So, I'm kind of very excited by trying to think about new type of databases, new type of data platforms that really leverages machine learning and data. This has been personally exciting to me. I obviously learned very different things from different companies.I would say that Yahoo was just the learning in cloud to begin with because prior to joining Yahoo, I wasn't familiar with Silicon Valley cloud companies at that scale and Yahoo is a big company and there's a lot to learn from there. It was also my first introduction to Hadoop, Spark, and even machine learning where I really got into machine learning at scale, in online advertising and areas like that, which was a massive scale. And I got into that in Yahoo, and it was personally exciting to me because there's very few opportunities where you can work on machine learning at that scale, right?Databricks was very exciting to me because it was an earlier-stage company than I had been at before. Extremely well run and I learned a lot from Databricks, just the team, the culture, the focus on innovation, and the focus on product thinking. I joined Databricks as a product manager. I hadn't played the product manager hat before that, so it was very much a learning experience for me and I think I learned from some of the best in that area. And even at Pinecone, I carry that forward, which is think about how my learnings at Databricks informs how we should be thinking about products at Pinecone, and so on. So, I think I learned—if I had to pick one company I learned a lot from, I would say, it's Databricks. The most [unintelligible 00:23:50].Corey: I would also like to point out, normally when people say, “Oh, the one company I've learned the most from,” and they pick one of them out of their history, it's invariably the most recent one, but you left there in 2018—Ram: Yeah.Corey: —then went to go spend the next three years over at Splunk, where you were a Senior Principal, Scientist, a Senior Director and Head of Machine-Learning, and then you decided, okay, that's enough hard work. You're going to do something easier and be the VP of Engineering, which is just wild at a company of that scale.Ram: Yeah. At Splunk, I learned a lot about management. I think managing large teams, managing multiple different teams, while working on very different areas is something I learned at Splunk. You know, I was at this point in my career when I was right around trying to start my own company. Basically, I was at a point where I'd taken enough learnings and I really wanted to do something myself.That's when Edo and I—you know, the CEO of Pinecone—and I started talking. And we had worked together for many years, and we started working together at Yahoo. We kept in touch with each other. And we started talking about the sort of problems that I was excited about working on and then I came to realize what he was working on and what Pinecone was doing. And we thought it was a very good fit for the two of us to work together.So, that is kind of how it happened. It sort of happened by chance, as many things do in Silicon Valley, where a lot of things just happen by network and chance. That's what happened in my case. I was just thinking of starting my own company at the time when just a chance encounter with Edo led me to Pinecone.Corey: It feels from my admittedly uninformed perspective, that a lot of what you're doing right now in the vector database area, it feels on some level, like it follows the trajectory of machine learning, in that for a long time, the only people really excited about it were either sci-fi authors or folks who had trouble explaining it to someone without a degree in higher math. And then it turned into—a couple of big stories from the mid-2010s stick out at me when we've been people were trying to sell this to me in a variety of different ways. One of them was, “Oh, yeah, if you're a giant credit card processing company and trying to detect fraud with this kind of transaction volume—” it's, yeah, there are maybe three companies in the world that fall into that exact category. The other was WeWork where they did a lot of computer vision work. And they used this to determine that at certain times of day there was congestion in certain parts of the buildings and that this was best addressed by hiring a second barista. Which distilled down to, “Wait a minute, you're telling me that you spent how much money on machine-learning and advanced analyses and data scientists and the rest have figured out that people like to drink coffee in the morning?” Like, that is a little on the ridiculous side.Now, I think that it is past the time for skepticism around machine learning when you can go to a website and type in a description of something and it paints a picture of the thing you just described. Or you can show it a picture and it describes what is in that picture fairly accurately. At this point, the only people who are skeptics, from my position on this, seem to be holding out for some sort of either next-generation miracle or are just being bloody-minded. Do you think that there's a tipping point for vector search where it's going to become blindingly obvious to, if not the mass market, at least more run-of-the-mill, more prosaic level of engineer that haven't specialized in this?Ram: Yeah. It's already, frankly, started happening. So, two years back, I wouldn't have suspected this fast of an adoption for this new of technology from this varied number of use cases. I just wouldn't have suspected it because I, you know, I still thought, it's going to take some time for this field to mature and, kind of, everybody to really start taking advantage of this. This has happened much faster than even I assumed.So, to some extent, it's already happening. A lot of it is because the barrier to entry is quite low right now, right? So, it's very easy and cost-effective for people to create these embeddings. There is a lot of documentation out there, things are getting easier and easier, day by day. Some of it is by Pinecone itself, by a lot of work we do. Some of it is by, like, companies that I mentioned before who are building better and better models, making it easier and easier for people to take these machine-learning models and use them without having to even fine-tune anything.And as technologies like Pinecone really mature and dramatically become cost-effective, the barrier to entry is very low. So, what we tend to see people do, it's not so much about confidence in this new technology; it is connecting something simple that I need this sort of value out of, and find the least critical path or the simplest way to get going on this sort of technology. And as long as it can make that barrier to entry very small and make this cost-effective and easy for people to explore, this is going to start exploding. And that's what we are seeing. And a lot of Pinecone's focus has been on ease-of-use, in simplicity in connecting the zero-to-one journey for precisely this reason. Because not only do we strongly believe in the value of this technology, it's becoming more and more obvious to the broader community as well. The remaining work to be done is just the ease of use and making things cost-effective. And cost-effectiveness is also what the focus on a lot. Like, this technology can be even more cost-effective than it is today.Corey: I think that it is one of those never-mistaken ideas to wind up making something more accessible to folks than keeping it in a relatively rarefied environment. We take a look throughout the history of computing in general and cloud in particular, were formerly very hard things have largely been reduced down to click the button. Yes, yes, and then get yelled at because you haven't done infrastructure-as-code, but click the button is still possible. I feel like this is on that trendline based upon what you're saying.Ram: Absolutely. And the more we can do here, both Pinecone and the broader community, I think the better, the faster the adoption of this sort of technology is going to be.Corey: I really want to thank you for spending so much time talking me through what it is you folks are working on. If people want to learn more, where's the best place for them to go to find you?Ram: Pinecone.io. Our website has a ton of information about Pinecone, as well as a lot of standard documentation. We have a free tier as well where you can play around with small data sets, really get a feel for vector search. It's completely free. And you can reach me at Ram at Pinecone. I'm always happy to answer any questions. Once again, thanks so much for having me.Corey: Of course. I will put links to all of that in the show notes. This promoted guest episode is brought to us by our friends at Pinecone. Ram Sriharsha is their VP of Engineering and R&D. And I'm Cloud Economist Corey Quinn. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an angry, insulting comment that I will never read because the search on your podcast platform is broken because it's not using a vector database.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

Relational Warning Signs Thursday, December 1st, 2022

Ep.123 Pathologizing Relational Needs  Taune Lyons is an integrative therapist, writer, and coach in the San Francisco, Bay Area. She specializes in understanding our attachment sounding, intentional relating, sexuality, unraveling our conditioning, and the integration of our painful experiences. We sat down with Taune for an IG LIVE to talk about: 1. straddling the line between the “disconnection dance” in relationships and acknowledging the inevitable ways our actions end up impacting those around us 2. how we can reframe our relational challenges as learning experiences  3. the ways that “Instagram therapy” often misses the nuance of our relational experiences Connect with Taune *** Instagram *** Website  Dené and Vanessa also share details about their upcoming New Years Retreat, FROM SELF-ABANDONMENT TO INNER BELONGING: THE INTENSIVE happening in Carefree, Arizona at Civana Wellness Resort and Spa, January 1-6, 2023! If you love the conversations we're bringing you as much as we do, please subscribe, rate and write a 5-star review so we can get the podcast out to even more people! *These live coaching sessions are meant for entertainment purposes only and are not to replace therapy. This podcast is, for sure, Cheaper Than Therapy.   Follow Cheaper Than Therapy on Instagram   Follow Vanessa Instagram TikTok YouTube   Follow Dené Instagram TikTok ------------------------------ Learn more about your ad choices. Visit megaphone.fm/adchoices

2 Thessalonians 1:1-2

I recently called one of my siblings to ask about holiday gathering plans. I wanted to know if he'd be okay with having the thanksgiving meal at our house this year. The conversation was going great until we began to go over the guest list. - Ashley MooreSUBSCRIBE to our sister podcasts:The Crosswalk Devotional: https://www.lifeaudio.com/crosswalk-devotional/Your Daily Bible Verse: https://www.lifeaudio.com/your-daily-bible-verse/