Podcasts about ltm

In this episode, Dr. Heather Rhodes talks about how important it is to make sure your hormones are balanced. Estrogen, Testosterone, and Progesterone are the 3 big driving hormones that we need to be aware of. When those are off then stress and low libido can be a side effect. Dr. Heather walks us through so many practical ways we can help balance our hormones without medication.Dr. Heather was so gracious and opened up her "My Stress Strategy" course just for the LTM community and gave everyone a 35% off discount with the code "LEGACY". The links below are ways you can access Dr. Heather Rhodes post-episode.Your code: https://store.drheatherrhodes.com/stress?coupon=LEGACYMy Website: https://store.drheatherrhodes.com/Instagram: https://www.instagram.com/drheatherrhodes/?hl=enUpcoming Free Webinar: https://www.drheatherrhodes.com/free-webinarDid you know? Stephanie is writing a book! Join the waitlist below!https://stephanie-sims-author.kit.com/765221430e

The Shutter Brothers are back fresh from an early morning photowalk to Richey Ridge Falls (near Soddy Daisy, Tennessee) and are ready to share their recent experiences photographing both together and also with a group of fellow film photography podcasters at Old Car City in White, Georgia. Along the way, Wayne and Kevin disuss ideas for the 4th Annual Photowalk with the Shutter Brothers. It all starts with getting out with your camera ends with having a photograph to share.  Ane speaking of sharing, Wayne is sharing some of his photography at the Annual Photography Exhibit & Competition at the Arts Center in Athens, Tennessee. The show is presented by the Athens Area Council for the Arts and runs from March 24 to May 30, 2025. If you live anywhere near East Tennessee, then make the trip to Athens to check out Wayne's work. Now that Kevin has the Leica M2 he's wanted for so long, it didn't take long for him to think about adding a 35mm lens to his kit. Actually, he already has a Leica 35mm lens, but it is a screwmount Elmar f3.5. Can it be used with a Leica M camera? The answer is "yes," if you have a LTM to M mount adapter. Leica made them back in the day, and now they are made cheaply in China. But just how compatible are they. Find out in the show. it's spring, and that means time for some de-cluttering. So, Kevin is giving away a camera! It's a fully functional Minolta Maxxum XTsi with a Minolta AF 35-70mm f4 zoom lens. It's the camera Kevin used for color photography on his Alaskan cruise last September, and now it can be yours. You can enter by email at unclejonesyscameras@gmail.com. Once agaiin our listeners chime in with some great email. We'd love to hear from you, too.  Happy Photography! Wayne's photography can be seen at The Arts Center in Athens, Tennessee through May 30, 2025. Gegory Davis (The Naked Photographer) created two YouTube vieos about his experience with the Intrepid Enlarger, which used LED light to emulate contrast filters. https://youtu.be/Rqq_wwrZxk0?si=3JEXYBVQje9gBS3S https://youtu.be/bp7SN4ua1cw?si=XFeM1J4uo6lK3B_h  

Is your baby struggling with baby acne, allergies or rashes? Trying to understand the root cause and treat it? Dr. Elana Roumell from the Doctor Mom Podcast breaks down how to identify different types of baby rashes, the root causes behind them, and effective natural remedies to help your little one find relief.In This Episode, We Cover:The most common baby rashes: baby acne, eczema, diaper rash, heat rash, and moreHow to tell if your baby's rash is something more seriousNatural remedies for baby skin issues, including the power of breastmilkWhen to see a doctor for your baby's rash or eczemaThe connection between gut health and skin conditionsDietary and environmental triggers that can worsen eczemaHow to safely manage allergies and food sensitivities in babiesDr. Elana shares practical, evidence-based advice to help you navigate these common baby skin concerns with confidence. Whether you're dealing with persistent eczema, mysterious rashes, or potential food allergies, this episode will empower you with the knowledge and tools you need!and more!!-------------------------------------------------------------------------------------------------------------IMPORTANT LINKS:- Sign up for the newsletter: HERE- Confidently Therapy - DM Alexis 'LTM' at @confidently.therapy on Instagram for your free strategy call.- Non-Toxic Laundry Detergent HERE - code LEARNINGTOMOM for 30% off!-Tighten Your Tinkler: Signature Pelvic Floor Program HERE -  code LEARNINGTOMOM  saves you $50 off their signature plan- Connect with Dr. Elana Roumell  HERE- The Mom's DIY Medicine Kit Guide she mentioned linked HERE-------------------------------------------------------------------------------------------------------------doctor roumell, doctor mom podcast, med school for moms, alana roumel, baby skin issues, rash on baby, eczema on baby, rash on newborn, newborn rash, baby acne, acne on baby, baby gut health, gut health for babies, Dermatitis on baby, cradle cap, milia, heat rash, diaper rash, Erythema toxicum, Fifth disease, infantigo, Imeptigo, Petechiae, breastmilk for rashes,  neonatal cephalic pustulosis, rash behind neck, rash on knees, Newborn skin care tips, Understanding common toddler rashes, Holistic skin care strategies , Chicken Skin/Keratosis Pilaris and what to do about it, Eczema root causes and cures, Sunscreen pros and cons, - Newborn care podcast, Postpartum podcast, Infant podcast, New baby podcast, Baby podcast, Motherhood podcast, First time mom, Best motherhood podcast, Best parenting podcast, Holistic parenting podcast, Holistic newborn, Crunchy mom podcast, Mom podcast, parenting podcast, First time mom podcast,  motherhood podcast, postpartum podcast, infant podcast, newborn care podcast, new baby podcast, pregnancy podcast, how to parent, parenting tips, parenting advice, 2 month old, 3 month old, 4 month old, 5 month old, 6 month old, 7 month old, 8 month old, 9 month old, 10 month old, 11 month old, 12 month old, Postpartum tips, Baby's first wellness check, Postpartum workouts, 3 month old nap schedule, 4 month old sleep regression, How to help a colicky baby, Wake windows explained, Breastfeeding tips, Newborn sleep schedule, Introducing solids to baby, Baby growth milestones, Postpartum recovery, 

The ASX 200 continued to struggle down 46 points at 8095 (0.6%) as stocks going ex -dividend weighed. Banks eased yet again with CBA off 1.8% and WBC down 0.9% as the Big Bank Basket fell to $248.82 (-1.1%). MQG off another 0.4% as one broker downgraded. Insurers also in the eye of the cyclone, SUN down 1.0% and QBE dropping 1.3%. REITs eased back, GMG down 0.2% and SCG off 0.9%. Industrials also lost ground, WES fell 1.6% with WOW and COL slipping, QAN down 2.0% from heady highs and TLS slid 1.0%. REA was a positive today up 4.3%. Tech mixed again, WTC up 4.7%. In resources, RIO Ex dividend knocked 2.2% off, BHP down 0.8% after it went Ex, gold miners better, NEM up 1.4% and EVN up 2.7% on copper exposure too. SFR ran 4.8% on its copper exposure, MIN bounced 2.6% and WAF jumped 11.9% on production upgrades. Oil and gas stocks on the nose as crude hits 3-year lows, WDS down 4.7% (XD) and STO off 1.9%. Uranium stocks feeling slightly perkier, BOE up 1.3% and PDN up 1.1% on some broker upgrades. On the corporate front, AMC dropped1.6 % on plans to reorganise it business. AUD has had its best week since 2023. LTM now delisted. SGR looks to HK for a bail out as Brisbane casino set to be sold. On the economic front, Building approvals rose 6.3%. Asian markets remain firm, Alibaba helping Japan up 0.9%, HK up 2.6% and China up 1.3%. 10-year yields back up to 4.48%.Want to invest with Marcus Today? The Managed Strategy Portfolio is designed for investors seeking exposure to our strategy while we do the hard work for you. If you're looking for personal financial advice, our friends at Clime Investment Management can help. Their team of licensed advisers operates across most states, offering tailored financial planning services.  Why not sign up for a free trial? Gain access to expert insights, research, and analysis to become a better investor.

Thinking about cosleeping or bedsharing but unsure if it's safe? Or maybe you've heard mixed opinions and want the facts?In this episode, I sit down with Tiffany Belanger from CoSleepy to break down everything you need to know about cosleeping safely—from the benefits to the common misconceptions and how to make it work for your family.We're covering:What cosleeping actually is (and how it differs from bedsharing)The biggest misconceptions about cosleepingThe benefits of cosleeping for both mom and babySafe sleep guidelines for cosleeping and bedsharing (what to do & what to avoid)How naps work when you cosleepCosleeping with a partner—what to consider for safetyWill your baby always want to sleep with you if you start cosleeping?…plus expert advice to help you decide if cosleeping is right for your family.-------------------------------------------------------------------------------------------------------------IMPORTANT LINKS:- Confidently Therapy - DM Alexis 'LTM' at @confidently.therapy on Instagram for your free strategy call.-  Shop functional and aesthetic baby gear HERE at parkerbaby.comUse code LEARNINGTOMOM for 15% off- The book on Cosleeping Tiffany mentioned linked HEREConnect with Tiffany HERE- Tiffany's free Bedsharing Beginner's Guide linked HERE--------------------------------------------------------------------------------------------------------------------cosleeping safety tips, how to bedshare safely, safe sleep for baby, cosleeping vs bedsharing, newborn sleep tips, how to sleep train while cosleeping, baby sleep solutions, best sleep setup for cosleeping, SIDS prevention and cosleeping, how to transition from bedsharing, cosleeping myths and facts, baby sleep environment, cosleeping with partner, baby sleep struggles, newborn sleep advice, is cosleeping safe, how to make cosleeping work, first-time mom sleep tips, gentle sleep methods, baby nap schedule while cosleeping, best mattress for bedsharing, night wakings while cosleeping, attachment parenting sleep, baby sleep podcast, sleep strategies for newborns, safe cosleeping checklist, co-sleeping benefits for baby, bedsharing do's and don'ts, baby sleep routine

We return with yet another exciting episode of the Camerosity Podcast.  For Episode 86, we dip into the listener mailbag and select a topic you all have told us you wanted to hear about, adapting vintage lenses.  Taking an old film camera lens and mounting it to a modern digital camera isn't exactly anything new, as adapting lenses from one mount to another camera has been done since the early 20th century. But what about the crazy number of lenses that weren't meant to be adapted?  How about uncommon Angenieux lenses from French Kodak Retinettes, photocopier lenses, or astronomy telescopes?  If it has glass and it focuses light, it can be adapted, and that's what got us going on this episode. Joining Anthony, Paul, Theo, and Mike are returning callers, AJ Gentile, Miles Libak, Nick Marshall, Pat Casey, Patrick Rapps, Ray Nason, Stephen Strangeway, Will Pinkham, and first time callers Alyssa Micha, David Jentz, and Rollin Banderob. On this episode, we talk about a huge number of lenses we mount to various digital and film cameras, but Alyssa starts us off with an ambitious project of adapting 35mm lenses to a Crown Graphic Graflex press camera, Stephen gives us some education on flange distance, why the Nikon Z mirrorless camera is ideally suited for adapting lenses, and Theo gives us his thoughts on how well a Mamiya press lens performs on micro 4/3rds. We discuss whether it is wise to spend extra money on premium adapters vs the cheap Chinese ones you can find on eBay, David Jentz talks about adapting DKL mount lenses and the struggles to find a good DKL adapter, and why you need to be concerned with image circle size when picking lenses from differing formats. Miles Libak shares with us a purchase he just made of a Contarex lens mount converted Canon F-1, and Paul talks about the best adapters to use for adapting Nikon rangefinder lenses to modern digital cameras. This episode proved that a relatively simple topic of adapting lenses included a deep wormhole into a huge amount of combinations of lenses including Paul's tip on how to remove a stuck Leica M to LTM adapter. For those of you who can't get enough of the Camerosity Podcast and would like the chance to meet 3/4 of the hosts, Anthony, Paul, and Mike will be at the Cincinnati Camera show in West Chester, Ohio on Saturday, March 22nd!  If you have nothing going on that day and can make it to the Cincinnati area, come and join us! As always, the topics we discuss on the Camerosity Podcast are influenced by you! Please don't feel like you have to be an expert on a specific type of camera, or have the level of knowledge on par with other people on the show.  We LOVE people who are into shooting or collecting cameras, no matter how long you've been doing it, so please don't consider your knowledge level to be a prerequisite for joining! The guys and I rarely know where each episode is going to go until it happens, so if you'd like to join us on a future episode, be sure to look out for our show announcements on our Camerosity Podcast Facebook page, the Camerosity Discord server, and right here on mikeeckman.com. We usually record every other Monday and announcements, along with the Zoom link are typically shared 2-3 days in advance. For our next episode, we are are taking another suggestion from you all and dedicating a whole show to the Kodak Retina and other cameras made by Kodak AG, the German arm of Kodak in Stuttgart, Germany.  We will be welcoming author and Kodak Retina expert David Jentz, along with Kodak historian from the Eastman Kodak Museum, Todd Gustavson to talk with us.  This will be a closed episode, so we won't be taking any callers for this one, but rest assured, the Camerosity gang has a long list of great questions to ask our esteemed guests.  Episode 87 will be recorded soon and should be available by the end of February. In This Episode Ramir's Rare Adapters / Argus Brick to Micro 4/3s Adapting 35mm SLR Lenses to a Crown Graphic Graflex / Learning About Image Circle Size Flange Distance and Why it is Important When Adapting Lenses Adapting DKL Lenses to Nikon DSLRs and Z-Mirrorless Cameras / DKL Adapters are Finicky Nikon Z Cameras have the Narrowest Flange Distance and a Very Narrow Sensor Stack More Love for Ramir Rare Adapters Sold on eBay Adapting Nikon Rangefinder Adapters / Amedeo Adapters / Wide and Telephoto Lenses Only Need the External Bayonet Paul's Adapted Angenieux 45mm Lens from a Retinette / David Jentz explains the origin of French Lenses on German Kodaks The Reason You Should Adapt Lenses is Because They're Imperfect / Perfection is Boring Adapting Lenses from Projectors and Photo Copiers / Enlarging Lenses Theo Has Adapters for Mamiya Press Lenses and Pentacon Six to Micro 4/3rds Adapting Lenses Intended for the Visoflex is Great on Digital PC-Nikkor 28mm and 35mm Lenses Are Great for Pseudo-Panoramics Pentax Q Lenses / Akarelle Lenses / Auto Focus Lens Adapters Third Party Licenses for the Nikon Z Mount / Nikon AF Teleconverters Miles Bought a Canon F-1 Modified to Accept Contarex Lenses / Zeiss Lens Separation DAG Modified Color-Minotar Converted to LTM and Mounted to a Corfield Periflex Shooting Macro on a Yashica-Mat / Rollei Bay Filters / Parallax Correction on TLRs Is it Worth Spending More Money on Premium Adapters? / What Brands Should You Avoid? Do All LTM to Leica-M Adapters Work on Every Camera? / Removing Stuck LTM Adapters With a Lens Cap Adapting Telescopes to Cameras / Nikon F Mount Telescopes Lenses with Floating Elements Can Sometimes Not Focus Correctly When Adapted Links The Camerosity Podcast is now on Discord! Join Anthony, Paul, Theo, and Mike on our very own Discord Server. Share your GAS and photography with other listeners in the Lounge or in our dedicated forums. If you have questions for myself or the other guys, we have an “Ask the Hosts” section as well where you can get your question answered on a future show! Check it out! https://discord.gg/PZVN2VBJvm. The Camerosity Podcast is now on BlueSky @camerosity.bsky.social.  This modern, and clean replacement for Twitter is a nice alternative to cluttered social networks out there.  Follow us there for show announcements and other content. If you would like to offer feedback or contact us with questions or ideas for future episodes, please contact us in the Comments Section below, our Camerosity Facebook Group, Instagram page, or Discord server. David Jentz - https://www.blurb.com/user/hsrc028N Amedeo Lens Adapters - https://www.ebay.com/usr/amedeo.m The Official Camerosity Facebook Group - https://www.facebook.com/groups/camerositypodcast Camerosity Instagram - https://www.instagram.com/camerosity_podcast/ Theo Panagopoulos - https://www.photothinking.com/ Paul Rybolt - https://www.ebay.com/usr/paulkris - https://thisoldcamera.net/ Anthony Rue - https://www.instagram.com/kino_pravda/

LTM 98: How to manage the cashflow of your marketplace business feat. StorfundWhat is often preventing marketplace sellers from growing? A lack of liquid funds, because a lot of money is either tied up in inventory or sits with the marketplace operator for weeks before it is paid out to the seller. That's why Ingrid and Valerie are dedicating this episode to the topic of financing and managing working capital. They are joined by Ann-Kristin Lipsky, who sells various of her own brands on marketplaces, and Joep Backx, Director of Sales at Storfund.Storfund has developed a concept to help sellers out of financial bottlenecks. In the podcast, they speak very openly about emergencies and the lack of support from banks. And Ann-Kristin explains how a competitor used a minor violation of terms of service to take her out of the race in Europe for months.Note from the sponsor MediaMarktSaturn:With a turnover of 22.4 billion euros, MediaMarktSaturn is one of Europe's leading consumer electronics retailers. Since launching its marketplace in Germany in 2020, the company has been pursuing an international strategy and is now represented in Spain, Austria, Italy, and the Netherlands. Belgium and Poland will follow in 2025. The range includes around 2 million products in categories such as IT, TV, household, gaming and more. With additional services such as easy marketplace integration and individual support, MediaMarktSaturn makes it easier for its approximately 1600 retailers to do business on the marketplace. And if you want to know more, take a lookat the detailed marketplace portrait of MediaMarktSaturn. Newsflash:Amazon had a good, if not exceptional, result for 2024It is said that Temu requires local European distributors to price 15% lower than Amazon. Chapters12:08 Marketplace Strategies and Expansion Plans13:45 Understanding StoreFund's Role in Financing18:02 Newsflash28:02 The Importance of Financing for Growth30:08 Understanding Product Portfolios and Market Risks32:01 The Struggles of Female Entrepreneurs in Funding36:27 Innovative Financing Solutions for E-commerce42:14 The Cost of Financing and Its Impact on Growth46:32 Expanding to New Marketplaces

In this special episode of the Just Covered Podcast, our hosts Hazel Johnston and Wayne Holcombe are joined by Mark Lambert, Director at Viva Retirement Solutions. During the episode, Mark discusses the versatility of lifetime mortgages and the positive impact they can have for clients and their families. He also talks about educating clients on some of the common misconceptions surrounding LTMs and his holistic approach to providing advice to clients on their retirement options. The episode also covers:Leveraging your professional network to help maximise the financial benefits available to clientsSome of the use cases for lifetime mortgages, including providing a financial gift to family members, paying off an existing mortgage and moreHelping to change client perceptions of LTM products and busting common myths

In this comprehensive presentation, Christian Weiss, Head of Investor Relations at RENK Group AG, reviews the company's financial performance for Q3 2024. The presentation highlights RENK's robust growth trajectory, operational resilience, and strategic priorities, emphasizing its leadership in delivering advanced technology solutions for various industries. Introduction to RENK Group AG RENK Group AG, a trusted partner in mobility and power transmission technologies, demonstrated significant growth in the first nine months of 2024. Despite macroeconomic challenges, the company's diversified portfolio, spanning vehicle mobility solutions (VMS), industrial and marine applications (M&I), high-performance slide bearings, and strong order backlog, underscore its resilience and continued success. Key Financial Highlights for Q3 2024 Order Backlog Total order backlog exceeded €4.8 billion, providing revenue coverage of more than 4.5x LTM revenues. Fixed order backlog grew by €34 million compared to December 2023, with frame orders remaining stable at €0.6 billion. The soft order backlog reflected strong visibility in future projects, including sole-source contracts and successor business opportunities. Revenue Growth Group revenue grew by 10.5% year-on-year in Q3 2024, driven by the VMS segment and robust aftermarket performance. The book-to-bill ratio for the first nine months remained strong at 1.1x, signalling healthy demand despite the absence of large orders in Q3. Profitability Adjusted EBIT increased by 6% year-on-year, supported by higher operating leverage, efficiency improvements, and a favourable product mix. Adjusted EBIT margin stood at 16.4%, with further improvements expected in Q4 2024. Cash Flow and Net Working Capital Free cash flow turned positive in Q3 despite higher capex linked to intangible asset acquisitions. Net working capital increased to 28.7% of LTM revenues, reflecting business growth and project ramp-ups. Measures are underway to reduce this ratio to approximately 25% by year-end. Segment Highlights Vehicle Mobility Solutions (VMS) VMS revenue grew by 45.2% year-on-year, driven by operational improvements and a rising share of aftermarket business. Margins improved significantly due to higher output, enhanced operational efficiency, and the ongoing stabilization of RENK America. Industrial and Marine (M&I) While Q3 revenue declined from the exceptionally high levels of the prior year, the segment remains on a healthy growth trajectory, with an increasing share of higher-margin military and aftermarket business. Adjusted EBIT margin remained strong at approximately 10%, supporting full-year profitability targets. Slide Bearings Revenue grew by 10.5% year-on-year, with sustained demand for e-bearings driven by the electrification trend and maritime applications. Profitability remained high, benefiting from a favourable mix of new equipment and aftermarket sales. Strategic Priorities and Growth Outlook Guidance for 2024 RENK reaffirmed its revenue target of ~€1.1 billion, representing a growth rate of 19% year-on-year. Adjusted EBIT is expected to range between €175 million and €190 million, with a medium-term target of ~€300 million driven by a CAGR of approximately 15%. Operational Focus The company is implementing measures to optimize net working capital and enhance output, particularly at VMS Augsburg. RENK America's operating model is being strengthened to achieve higher performance levels. Innovation and Market Expansion RENK is expanding its innovation pipeline with hybridization solutions and advanced mobility technologies. The establishment of RENK Italia underscores the company's commitment to capturing market opportunities in key regions. T&C This publication is for informational purposes only and does not constitute investment advice. By using this website, you agree to our terms and conditions outlined on www.seat11a.com/legal and www.seat11a.com/imprint.

The Enneagram Godmother + The Great Russ Hudson + The Reverend Where do we sign up?!?! Today's podcast episode comes from the LTM teaching event in Dallas, Br5aking The Cycle (don't worry, you'll learn why it is spelled that way and what 5a means). As you'll hear Joel explain, this 2 hour teaching is only the opening for the rest of the next 10 hours, but it is an entire workshop in itself! There is nobody Suzanne holds in higher regard when it comes to Enneagram Wisdom than Russ Hudson. The real magic that comes out in this weekend's teaching is that Suzanne, Joe, and Russ are each in different Enneagram Triads: Suzanne, Heart - Russ, Head - Reverend, Gut. And the teaching is on Enneagram Triads, managing your dominant center of intelligence, and how we br5ak this darn cycle! PLUG TIME If you want to continue on this journey of Br5aking The Cycle, you can purchase the entire workshop during the month of October and get it at 40% off!! Be prepared though, because it is 12 hours of challenging teaching for us to try and do, think, feel things differently. Click here for the workshop handout and to get the entire 3 days of teaching for 40% off.   Thank you for listening to the show and for helping to make the world more compassionate! To learn more about Life in the Trinity Ministry visit lifeinthetrinityministry.com. Today's Intro: "The Chain" (Fleetwood Mac, Rumors 1977) "It's Been a While" (Staind, Breaking The Cycle 2001) "All We Ever Knew" (The Head and The Heart, Signs of Light 2016)

Its Q&A time on The Enneagram Journey! Suzanne and Joel sat down to record today's episode at The Micah Center and decided at the last moment to turn on the camera. Having the camera on contributed to the conversation about seeing a therapist and accountability, and the show just takes off from there. Some of the things you'll here in this episode: A question about a 7 and 5 relationship this leads to some subtype talk What needs to fall away when you go to therapy? Enneagram 6s and Trust Are 6s the most controlling personality? A 4 and 5 parenting adult children A great Chuck Knoblauch joke that Suzanne talked over aaaaand more! "Tell me what you want, and I'll tell you whether or not I can give it to you."   PLUG TIME 2025 is going to be the year that LTM gets around the country! Several stops already locked in: Arkansas, South Carolina, Tennessee, Minnesota, Texas. And many more that are in the works! Be sure and subscribe to the LTM newsletter to get the latest updates on these events and everything else podcast related, and LTM related. Visit lifeinthetrinityministry.com and you'll find the newsletter sign up on any page in the footer. You've got Enneagram questions? We've got Enneagram responses! This is seriously Suzanne's favorite way to teach, so send your questions in at theenneagramjourney.com/contact   TODAY'S INTRO Ben Folds, "Annie Waits" (2001, Rockin' The Suburbs) Pete Holmes (Pete is the WORST Therapist) Suzanne Stabile in today's show Step Brothers (2008, Columbia Pictures)

The second half of 2024 is well underway and so is the second half of the 2024 Cohort Program. Welcome back Alex Reegan (enneagram 8) and Darnell Young (enneagram 1)! Our third guest, Matt Lesser (8), couldn't join us for this conversation, but he'll be back at the end of the year for sure! Today's episode is fantastic: Is "triggered" still a term we should be using? Who decides? Would you rather be Right or in Relationship? Armor and Privilege Tattoo Talk When are you vulnerable? Orientation to Time! We think it would be hard to listen to this episode and not want to apply for the 2025 Cohort Program. So, LTM has extended the application deadline to September 1, 2024. Visit lifeinthetrinityministry.com/2025cohort for all of the information, expectations, and applications.   BIG PLUG!! The Enneagram and Spiritual Practices September 6-7, Birmingham, AL with Rev. Joseph and Suzanne Stabile Join the Reverend and The Enneagram Godmother for a weekend diving into our enneagram personalities, specifically Stance Work, and the role it plays in our Spiritual lives and practice. lifeinthetrinityministry.com/alabama   The Enneagram and Relationships October 4-5, Charleston, SC, with Suzanne Stabile Join Suzanne for her final travel teaching of 2024 in beautiful Charleston, South Carolina. We don't know anyone who can combine enneagram wisdom with relationships better than Suzanne. She needs her own weekly radio show to be honest! lifeinthetrinityministry.com/charleston   Today's Intro: Scrubs (S3, E9) South Park (S19, E1) The Enneagram Journey Podcast Eric Nadel (The Texas Rangers Radio Network)  

Betteridge's law says no: with seemingly infinite flavors of RAG, and >2million token context + prompt caching from Anthropic/Deepmind/Deepseek, it's reasonable to believe that "in context learning is all you need".But then there's Cosine Genie, the first to make a huge bet using OpenAI's new GPT4o fine-tuning for code at the largest scale it has ever been used externally; resulting in what is now the #1 coding agent in the world according to SWE-Bench Full, Lite, and Verified:SWE-Bench has been the most successful agent benchmark of the year, receiving honors at ICLR (our interview here) and recently being verified by OpenAI. Cognition (Devin) was valued at $2b after reaching 14% on it. So it is very, very big news when a new agent appears to beat all other solutions, by a lot:While this number is self reported, it seems to be corroborated by OpenAI, who also award it clear highest marks on SWE-Bench verified:The secret is GPT-4o finetuning on billions of tokens of synthetic data. * Finetuning: As OpenAI says:Genie is powered by a fine-tuned GPT-4o model trained on examples of real software engineers at work, enabling the model to learn to respond in a specific way. The model was also trained to be able to output in specific formats, such as patches that could be committed easily to codebases. Due to the scale of Cosine's finetuning, OpenAI worked closely with them to figure out the size of the LoRA:“They have to decide how big your LoRA adapter is going to be… because if you had a really sparse, large adapter, you're not going to get any signal in that at all. So they have to dynamically size these things.”* Synthetic data: we need to finetune on the process of making code work instead of only training on working code.“…we synthetically generated runtime errors. Where we would intentionally mess with the AST to make stuff not work, or index out of bounds, or refer to a variable that doesn't exist, or errors that the foundational models just make sometimes that you can't really avoid, you can't expect it to be perfect.”Genie also has a 4 stage workflow with the standard LLM OS tooling stack that lets it solve problems iteratively:Full Video Podlike and subscribe etc!Show Notes* Alistair Pullen - Twitter, Linkedin* Cosine Genie launch, technical report* OpenAI GPT-4o finetuning GA* Llama 3 backtranslation* Cursor episode and Aman + SWEBench at ICLR episodeTimestamps* [00:00:00] Suno Intro* [00:05:01] Alistair and Cosine intro* [00:16:34] GPT4o finetuning* [00:20:18] Genie Data Mix* [00:23:09] Customizing for Customers* [00:25:37] Genie Workflow* [00:27:41] Code Retrieval* [00:35:20] Planning* [00:42:29] Language Mix* [00:43:46] Running Code* [00:46:19] Finetuning with OpenAI* [00:49:32] Synthetic Code Data* [00:51:54] SynData in Llama 3* [00:52:33] SWE-Bench Submission Process* [00:58:20] Future Plans* [00:59:36] Ecosystem Trends* [01:00:55] Founder Lessons* [01:01:58] CTA: Hiring & CustomersDescript Transcript[00:01:52] AI Charlie: Welcome back. This is Charlie, your AI cohost. As AI engineers, we have a special focus on coding agents, fine tuning, and synthetic data. And this week, it all comes together with the launch of Cosign's Genie, which reached 50 percent on SWE Bench Lite, 30 percent on the full SWE Bench, and 44 percent on OpenAI's new SWE Bench Verified.[00:02:17] All state of the art results by the widest ever margin recorded compared to former leaders Amazon Q and US Autocode Rover. And Factory Code Droid. As a reminder, Cognition Devon went viral with a 14 percent score just five months ago. Cosign did this by working closely with OpenAI to fine tune GPT 4. 0, now generally available to you and me, on billions of tokens of code, much of which was synthetically generated.[00:02:47] Alistair Pullen: Hi, I'm Ali. Co founder and CEO of Cosign, a human reasoning lab. And I'd like to show you Genie, our state of the art, fully autonomous software engineering colleague. Genie has the highest score on SWBench in the world. And the way we achieved this was by taking a completely different approach. We believe that if you want a model to behave like a software engineer, it has to be shown how a human software engineer works.[00:03:15] We've designed new techniques to derive human reasoning from real examples of software engineers doing their jobs. Our data represents perfect information lineage, incremental knowledge discovery, and step by step decision making. Representing everything a human engineer does logically. By actually training Genie on this unique dataset, rather than simply prompting base models, which is what everyone else is doing, we've seen that we're no longer simply generating random code until some works.[00:03:46] It's tackling problems like[00:03:48] AI Charlie: a human. Alistair Pullen is CEO and co founder of Kozen, and we managed to snag him on a brief trip stateside for a special conversation on building the world's current number one coding agent. Watch out and take care.[00:04:07] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO of Resonance at Decibel Partners, and I'm joined by my co host Swyx, founder of Small. ai.[00:04:16] swyx: Hey, and today we're back in the studio. In person, after about three to four months in visa jail and travels and all other fun stuff that we talked about in the previous episode.[00:04:27] But today we have a special guest, Ali Pullen from Cosign. Welcome. Hi, thanks for having me. We're very lucky to have you because you're on a two day trip to San Francisco. Yeah, I wouldn't recommend it. I would not[00:04:38] Alistair Pullen: recommend it. Don't fly from London to San Francisco for two days.[00:04:40] swyx: And you launched Genie on a plane.[00:04:42] On plain Wi Fi, um, claiming state of the art in SuiteBench, which we're all going to talk about. I'm excited to dive into your whole journey, because it has been a journey. I've been lucky to be a small angel in part of that journey. And it's exciting to see that you're launching to such acclaim and, you know, such results.[00:05:01] Alistair and Cosine intro[00:05:01] swyx: Um, so I'll go over your brief background, and then you can sort of fill in the blanks on what else people should know about you. You did your bachelor's in computer science at Exeter.[00:05:10] Speaker 6: Yep.[00:05:10] swyx: And then you worked at a startup that got acquired into GoPuff and round about 2022, you started working on a stealth startup that became a YC startup.[00:05:19] What's that? Yeah. So[00:05:21] Alistair Pullen: basically when I left university, I, I met my now co founder, Sam. At the time we were both mobile devs. He was an Android developer. iOS developer. And whilst at university, we built this sort of small consultancy, sort of, we'd um, be approached to build projects for people and we would just take them up and start with, they were student projects.[00:05:41] They weren't, they weren't anything crazy or anything big. We started with those and over time we started doing larger and larger projects, more interesting things. And then actually, when we left university, we just kept doing that. We didn't really get jobs, traditional jobs. It was also like in the middle of COVID, middle of lockdown.[00:05:57] So we were like, this is a pretty good gig. We'll just keep like writing code in our bedrooms. And yeah, that's it. We did that for a while. And then a friend of ours that we went to Exeter with started a YC startup during COVID. And it was one of these fast grocery delivery companies. At the time I was living in the deepest, darkest countryside in England, where fast grocery companies are still not a thing.[00:06:20] So he, he sort of pitched me this idea and was like, listen, like I need an iOS dev, do you fancy coming along? And I thought, absolutely. It was a chance to get out of my parents house, chance to move to London, you know, do interesting things. And at the time, truthfully, I had no idea what YC was. I had no idea.[00:06:34] I wasn't in the startup space. I knew I liked coding and building apps and stuff, but I'd never, never really done anything in that area. So I said, yes, absolutely. I moved to London just sort of as COVID was ending and yeah, worked at what was fancy for about a year and a half. Then we brought Sam along as well.[00:06:52] So we, Sam and I, were the two engineers at Fancy for basically its entire life, and we built literally everything. So like the, the front, the client mobile apps, the, the backends, the internal like stock management system, the driver routing, algorithms, all those things. Literally like everything. It was my first.[00:07:12] You know, both of us were super inexperienced. We didn't have, like, proper engineering experience. There were definitely decisions we'd do differently now. We'd definitely buy a lot of stuff off the shelf, stuff like that. But it was the initial dip of the toe into, like, the world of startups, and we were both, like, hooked immediately.[00:07:26] We were like, this is so cool. This sounds so much better than all our friends who were, like, consultants and doing, like, normal jobs, right? We did that, and it ran its course, and after, I want to say, 18 months or so, GoPuff came and acquired us. And there was obviously a transitionary period, an integration period, like with all acquisitions, and we did that, and as soon as we'd vested what we wanted to vest, and as soon as we thought, okay, this chapter is sort of done, uh, in about 2022, We left and we knew that we wanted to go alone and try something like we'd had this taste.[00:07:54] Now we knew we'd seen how a like a YC startup was managed like up close and we knew that we wanted to do something similar ourselves. We had no idea what it was at the time. We just knew we wanted to do something. So we, we tried a small, um, some small projects in various different areas, but then GPT 3.[00:08:12] He'd seen it on Reddit and I'm his source of all knowledge. Yeah, Sam loves Reddit. I'd actually heard of GPT 2. And obviously had like loosely followed what OpenAI had done with, what was the game they trained a model to play? Dota. Was it Dota? Yeah. So I'd followed that and, I knew loosely what GPT 2 was, I knew what BERT was, so I was like, Okay, this GPT 3 thing sounds interesting.[00:08:35] And he just mentioned it to me on a walk. And I then went home and, like, googled GPT was the playground. And the model was DaVinci 2 at the time. And it was just the old school playground, completions, nothing crazy, no chat, no nothing. I miss completions though. Yeah. Oh, completion. Honestly, I had this conversation in open hours office yesterday.[00:08:54] I was like, I just went. I know. But yeah, so we, we, um, I started playing around with the, the playground and the first thing I ever wrote into it was like, hello world, and it gave me some sort of like, fairly generic response back. I was like, okay, that looks pretty cool. The next thing was. I looked through the docs, um, also they had a lot of example prompts because I had no idea.[00:09:14] I didn't know if the, if you could put anything in, I didn't know if you had to structure in a certain way or whatever, and I, and I saw that it could start writing like tables and JSON and stuff like that. So I was like, okay, can you write me something in JSON? And it did. And I was like, Oh, wow, this is, this is pretty cool.[00:09:28] Um, can it, can it just write arbitrary JSON for me? And, um, immediately as soon as I realized that my mind was racing and I like got Sam in and we just started messing around in the playground, like fairly innocently to start with. And then, of course, both being mobile devs and also seeing, at that point, we learned about what the Codex model was.[00:09:48] It was like, this thing's trained to write code, sounds awesome. And Copilot was start, I think, I can't actually remember if Copilot had come out yet, it might have done. It's round about the same time as Codex. Round about the same time, yeah. And we were like, okay, as mobile devs, let's see what we can do.[00:10:02] So the initial thing was like, okay, let's see if we can get this AI to build us a mobile app from scratch. We eventually built the world's most flimsy system, which was back in the day with like 4, 000 token context windows, like chaining prompts, trying to keep as much context from one to the other, all these different things, where basically, Essentially, you'd put an app idea in a box, and then we'd do, like, very high level stuff, figuring out what the stack should be, figuring out what the frontend should be written in, backend should be written in, all these different things, and then we'd go through, like, for each thing, more and more levels of detail, until the point that you're You actually got Codex to write the code for each thing.[00:10:41] And we didn't do any templating or anything. We were like, no, we're going to write all the code from scratch every time, which is basically why it barely worked. But there were like occasions where you could put in something and it would build something that did actually run. The backend would run, the database would work.[00:10:54] And we were like, Oh my God, this is insane. This is so cool. And that's what we showed to our co founder Yang. I met my co founder Yang through, through fancy because his wife was their first employee. And, um, we showed him and he was like, You've discovered fire. What is this? This is insane. He has a lot more startup experience.[00:11:12] Historically, he's had a few exits in the past and has been through all different industries. He's like our dad. He's a bit older. He hates me saying that. He's your COO now? He's our COO. Yeah. And, uh, we showed him and he was like, this is absolutely amazing. Let's just do something. Cause he, he, at the time, um, was just about to have a child, so he didn't have anything going on either.[00:11:29] So we, we applied to YC, got an interview. The interview was. As most YC interviews are short, curt, and pretty brutal. They told us they hated the idea. They didn't think it would work. And that's when we started brainstorming. It was almost like the interview was like an office hours kind of thing. And we were like, okay, given what you know about the space now and how to build things with these LLMs, like what can you bring out of what you've learned in building that thing into Something that might be a bit more useful to people on the daily, and also YC obviously likes B2B startups a little bit more, at least at the time they did, back then.[00:12:01] So we were like, okay, maybe we could build something that helps you with existing codebases, like can sort of automate development stuff with existing codebases, not knowing at all what that would look like, or how you would build it, or any of these things. And They were like, yeah, that sounds interesting.[00:12:15] You should probably go ahead and do that. You're in, you've got two weeks to build us an MVP. And we were like, okay, okay. We did our best. The MVP was absolutely horrendous. It was a CLI tool. It sucked. And, um, at the time we were like, we, we don't even know. How to build what we want to build. And we didn't really know what we wanted to build, to be honest.[00:12:33] Like, we knew we wanted to try to help automate dev work, but back then we just didn't know enough about how LLM apps were built, the intricacies and all those things. And also, like, the LLMs themselves, like 4, 000 tokens, you're not going very far, they're extremely expensive. So we ended up building a, uh, a code based retrieval tool, originally.[00:12:51] Our thought process originally was, we want to build something that can do our jobs for us. That is like the gold star, we know that. We've seen like there are glimpses of it happening with our initial demo that we did. But we don't see the path of how to do that at the moment. Like the tech just wasn't there.[00:13:05] So we were like, well, there are going to be some things that you need to build this when the tech does catch up. So retrieval being one of the most important things, like the model is going to have to build like pull code out of a code base somehow. So we were like, well, let's just build the tooling around it.[00:13:17] And eventually when the tech comes, then we'll be able to just like plug it into our, our tooling and then it should work basically. And to be fair, that's basically what we've done. And that's basically what's happened, which is very fortunate. But in the meantime, whilst we were waiting for everything to sort of become available, we built this code base retrieval tool.[00:13:34] That was the first thing we ever launched when we were in YC like that, and it didn't work. It was really frustrating for us because it was just me and Sam like working like all hours trying to get this thing to work. It was quite a big task in of itself, trying to get like a good semantic search engine working that could run locally on your machine.[00:13:51] We were trying to avoid sending code to the cloud as much as possible. And then for very large codebases, you're like, you know, millions of lines of code. You're trying to do some sort of like local HNSW thing that runs inside your VS Code instance that like eats all your RAM as you've seen in the past.[00:14:05] All those different things. Yep. Yeah.[00:14:07] swyx: My first call with[00:14:07] Alistair Pullen: you, I had trouble. You were like, yeah, it sucks, man. I know, I know. I know it sucks. I'm sorry. I'm sorry. But building all that stuff was essentially the first six to eight months of what at the time was built. Which, by the way, build it. Build it. Yeah, it was a terrible, terrible name.[00:14:25] It was the worst,[00:14:27] swyx: like, part of trying to think about whether I would invest is whether or not people could pronounce it.[00:14:32] Alistair Pullen: No, when we, so when we went on our first ever YC, like, retreat, No one got the name right. They were like, build, build, well, um, and then we actually changed the names, cosign, like, although some people would spell it as in like, as if you're cosigning for an apartment or something like that's like, can't win.[00:14:49] Yeah. That was what built was back then. But the ambition, and I did a talk on this back in the end of 2022, the ambition to like build something that essentially automated our jobs was still very much like core to what we were doing. But for a very long time, it was just never apparent to us. Like. How would you go about doing these things?[00:15:06] Even when, like, you had 3. suddenly felt huge, because you've gone from 4 to 16, but even then 16k is like, a lot of Python files are longer than 16k. So you can't, you know, before you even start doing a completion, even then we were like, eh, Yeah, it looks like we're still waiting. And then, like, towards the end of last year, you then start, you see 32k.[00:15:28] 32k was really smart. It was really expensive, but also, like, you could fit a decent amount of stuff in it. 32k felt enormous. And then, finally, 128k came along, and we were like, right, this is, like, this is what we can actually deal with. Because, fundamentally, to build a product like this, you need to get as much information in front of the model as possible, and make sure that everything it ever writes in output can be read.[00:15:49] traced back to something in the context window, so it's not hallucinating it. As soon as that model existed, I was like, okay, I know that this is now going to be feasible in some way. We'd done early sort of dev work on Genie using 3. 5 16k. And that was a very, very like crude way of proving that this loop that we were after and the way we were generating the data actually had signal and worked and could do something.[00:16:16] But the model itself was not useful because you couldn't ever fit enough information into it for it to be able to do the task competently and also the base intelligence of the model. I mean, 3. 5, anyone who's used 3. 5 knows the base intelligence of the model is. is lacking, especially when you're asking it to like do software engineering, this is quite quite involved.[00:16:34] GPT4o finetuning[00:16:34] Alistair Pullen: So, we saw the 128k context model and um, at that point we'd been in touch with OpenAI about our ambitions and like how we wanted to build it. We essentially are, I just took a punt, I was like, I'm just going to ask to see, can we like train this thing? Because at the time Fortobo had just come out and back then there was still a decent amount of lag time between like OpenAI releasing a model and then allowing you to fine tune it in some way.[00:16:59] They've gotten much better about that recently, like 4. 0 fine tuning came out either, I think, a day, 4. 0 mini fine tuning came out like a day after the model did. And I know that's something they're definitely like, optimising for super heavily inside, which is great to see.[00:17:11] swyx: Which is a little bit, you know, for a year or so, YC companies had like a direct Slack channel to open AI.[00:17:17] We still do. Yeah. Yeah. So, it's a little bit of a diminishing of the YC advantage there. Yeah. If they're releasing this fine tuning[00:17:23] Alistair Pullen: ability like a day after. Yeah, no, no, absolutely. But like. You can't build a startup otherwise. The advantage is obviously nice and it makes you feel fuzzy inside. But like, at the end of the day, it's not that that's going to make you win.[00:17:34] But yeah, no, so like we'd spoken to Shamul there, Devrel guy, I'm sure you know him. I think he's head of solutions or something. In their applied team, yeah, we'd been talking to him from the very beginning when we got into YC, and he's been absolutely fantastic throughout. I basically had pitched him this idea back when we were doing it on 3.[00:17:53] 5, 16k, and I was like, this is my, this is my crazy thesis. I want to see if this can work. And as soon as like that 128k model came out, I started like laying the groundwork. I was like, I know this definitely isn't possible because he released it like yesterday, but know that I want it. And in the interim, like, GPT 4, like, 8K fine tuning came out.[00:18:11] We tried that, it's obviously even fewer tokens, but the intelligence helped. And I was like, if we can marry the intelligence and the context window length, then we're going to have something special. And eventually, we were able to get on the Experimental Access Program, and we got access to 4Turbo fine tuning.[00:18:25] As soon as we did that, because in the entire run up to that we built the data pipeline, we already had all that set up, so we were like, right, we have the data, now we have the model, let's put it through and iterate, essentially, and that's, that's where, like, Genie as we know it today, really was born. I won't pretend like the first version of Gene that we trained was good.[00:18:45] It was a disaster. That's where you realize all the implicit biases in your data set. And you realize that, oh, actually this decision you made that was fairly arbitrary was the wrong one. You have to do it a different way. Other subtle things like, you know, how you write Git diffs in using LLMs and how you can best optimize that to make sure they actually apply and work and loads of different little edge cases.[00:19:03] But as soon as we had access to the underlying tool, we were like, we can actually do this. And I was I breathed a sigh of relief because I didn't know it was like, it wasn't a done deal, but I knew that we could build something useful. I mean, I knew that we could build something that would be measurably good on whatever eval at the time that you wanted to use.[00:19:23] Like at the time, back then, we weren't actually that familiar with Swift. But once Devin came out and they announced the SBBench core, I like, that's when my life took a turn. Challenge accepted. Yeah, challenge accepted. And that's where like, yes, that's where my friendships have gone. My sleep has gone. My weight.[00:19:40] Everything got into SweeBench and yeah, we, we, it was actually a very useful tool in building GeniX beforehand. It was like, yes, vibe check this thing and see if it's useful. And then all of a sudden you have a, an actual measure to, to see like, couldn't it do software engineering? Not, not the best measure, obviously, but like it's a, it's the best that we've got now.[00:19:57] We, we just iterated and built and eventually we got it to the point where it is now. And a little bit beyond since we actually Like, we actually got that score a couple of weeks ago, and yeah, it's been a hell of a journey from the beginning all the way now. That was a very rambling answer to your question about how we got here, but that's essentially the potted answer of how we got here.[00:20:16] Got the full[00:20:16] swyx: origin story[00:20:17] Alessio: out. Yeah, no, totally.[00:20:18] Genie Data Mix[00:20:18] Alessio: You mentioned bias in the data and some of these things. In your announcement video, you called Genie the worst verse AI software engineering colleague. And you kind of highlighted how the data needed to train it needs to show how a human engineer works. I think maybe you're contrasting that to just putting code in it.[00:20:37] There's kind of like a lot more than code that goes into software engineering. How do you think about the data mixture, you know, and like, uh, there's this kind of known truth that code makes models better when you put in the pre training data, but since we put so much in the pre training data, what else do you add when you turn to Genium?[00:20:54] Alistair Pullen: Yeah, I think, well, I think that sort of boils down fundamentally to the difference between a model writing code and a model doing software engineering, because the software engineering sort of discipline goes wider, because if you look at something like a PR, that is obviously a Artifact of some thought and some work that has happened and has eventually been squashed into, you know, some diffs, right?[00:21:17] What the, very crudely, what the pre trained models are reading is they're reading those final diffs and they're emulating that and they're being able to output it, right? But of course, it's a super lossy thing, a PR. You have no idea why or how, for the most part, unless there are some comments, which, you know, anyone who's worked in a company realizes PR reviews can be a bit dodgy at times, but you see that you lose so much information at the end, and that's perfectly fine, because PRs aren't designed to be something that perfectly preserves everything that happened, but What we realized was if you want something that's a software engineer, and very crudely, we started with like something that can do PRs for you, essentially, you need to be able to figure out why those things happened.[00:21:58] Otherwise, you're just going to rely, you essentially just have a code writing model, you have something that's good at human eval, but But, but not very good at Sweet Eng. Essentially that realization was, was part of the, the kernel of the idea of of, of the approach that we took to design the agent. That, that is genie the way that we decided we want to try to extract what happened in the past, like as forensically as possible, has been and is currently like one of the, the main things that we focus all our time on, because doing that as getting as much signal out as possible, doing that as well as possible is the biggest.[00:22:31] thing that we've seen that determines how well we do on that benchmark at the end of the day. Once you've sorted things out, like output structure, how to get it consistently writing diffs and all the stuff that is sort of ancillary to the model actually figuring out how to solve a problem, the core bit of solving the problem is how did the human solve this problem and how can we best come up with how the human solved these problems.[00:22:54] So all the effort went in on that. And the mix that we ended up with was, as you've probably seen in the technical report and so on, all of those different languages and different combinations of different task types, all of that has run through that pipeline, and we've extracted all that information out.[00:23:09] Customizing for Customers[00:23:09] Alessio: How does that differ when you work with customers that have private workflows? Like, do you think, is there usually a big delta between what you get in open source and maybe public data versus like Yeah,[00:23:19] Alistair Pullen: yeah, yeah. When you scrape enough of it, most of open source is updating readmes and docs. It's hilarious, like we had to filter out so much of that stuff because when we first did the 16k model, like the amount of readme updating that went in, we did like no data cleaning, no real, like, we just sort of threw it in and saw what happened.[00:23:38] And it was just like, It was really good at updating readme, it was really good at writing some comments, really good at, um, complaining in Git reviews, in PR reviews, rather, and it would, again, like, we didn't clean the data, so you'd, like, give it some feedback, and it would just, like, reply, and, like, it would just be quite insubordinate when it was getting back to you, like, no, I don't think you're right, and it would just sort of argue with you, so The process of doing all that was super interesting because we realized from the beginning, okay, there's a huge amount of work that needs to go into like cleaning this, getting it aligned with what we want the model to do to be able to get the model to be useful in some way.[00:24:12] Alessio: I'm curious, like, how do you think about the customer willingness? To share all of this historical data, I've done a lot of developer tools investing in my career and getting access to the code base is always one of the hard things. Are people getting more cautious about sharing this information? In the past, it was maybe like, you know, you're using static analysis tool, like whatever else you need to plug into the code base, fine.[00:24:35] Now you're building. A model based on it, like, uh, what's the discussion going into these companies? Are most people comfortable with, like, letting you see how to work and sharing everything?[00:24:44] Alistair Pullen: It depends on the sector, mostly. We've actually seen, I'd say, people becoming more amenable to the idea over time, actually, rather than more skeptical, because I think they can see the, the upside.[00:24:55] If this thing could be, Does what they say it does, it's going to be more help to us than it is a risk to our infosec. Um, and of course, like, companies building in this space, we're all going to end up, you know, complying with the same rules, and there are going to be new rules that come out to make sure that we're looking at your code, that everything is safe, and so on.[00:25:12] So from what we've seen so far, we've spoken to some very large companies that you've definitely heard of and all of them obviously have stipulations and many of them want it to be sandbox to start with and all the like very obvious things that I, you know, I would say as well, but they're all super keen to have a go and see because like, despite all those things, if we can genuinely Make them go faster, allow them to build more in a given time period and stuff.[00:25:35] It's super worth it to them.[00:25:37] Genie Workflow[00:25:37] swyx: Okay, I'm going to dive in a little bit on the process that you have created. You showed the demo on your video, and by the time that we release this, you should be taking people off the waitlist and launching people so people can see this themselves. There's four main Parts of the workflow, which is finding files, planning action, writing code and running tests.[00:25:58] And controversially, you have set yourself apart from the Devins of the world by saying that things like having access to a browser is not that important for you. Is that an accurate reading of[00:26:09] Alistair Pullen: what you wrote? I don't remember saying that, but At least with what we've seen, the browser is helpful, but it's not as helpful as, like, ragging the correct files, if that makes sense.[00:26:20] Like, it is still helpful, but obviously there are more fundamental things you have to get right before you get to, like, Oh yeah, you can read some docs, or you can read a stack overflow article, and stuff like that.[00:26:30] swyx: Yeah, the phrase I was indexing on was, The other software tools are wrappers around foundational models with a few additional tools, such as a web browser or code interpreter.[00:26:38] Alistair Pullen: Oh, I see. No, I mean, no, I'm, I'm not, I'm not, I'm not deri, I'm deriding the, the, the approach that, not the, not the tools. Yeah, exactly. So like, I would[00:26:44] swyx: say in my standard model of what a code agent should look like, uh, Devon has been very influential, obviously. Yeah. Yeah. Because you could just add the docs of something.[00:26:54] Mm-Hmm. . And like, you know, now I have, now when I'm installing a new library, I can just add docs. Yeah, yeah. Cursor also does this. Right. And then obviously having a code interpreter does help. I guess you have that in the form[00:27:03] Alistair Pullen: of running tests. I mean, uh, the Genie has both of those tools available to it as well.[00:27:08] So, yeah, yeah, yeah. So, we have a tool where you can, like, put in URLs and it will just read the URLs. And you can also use this Perplexities API under the hood as well to be able to actually ask questions if it wants to. Okay. So, no, we use both of those tools as well. Like, those tools are Super important and super key.[00:27:24] I think obviously the most important tools to these agents are like being able to retrieve code from a code base, being able to read Stack Overflow articles and what have you and just be able to essentially be able to Google like we do is definitely super useful.[00:27:38] swyx: Yeah, I thought maybe we could just kind of dive into each of those actions.[00:27:41] Code Retrieval[00:27:41] swyx: Code retrieval, one of the core indexer that Yes. You've worked on, uh, even as, as built, what makes it hard, what approach you thought would work, didn't work,[00:27:52] Alistair Pullen: anything like that. It's funny, I had a similar conversation to this when I was chatting to the guys from OpenAI yesterday. The thing is that searching for code, specifically semantically, at least to start with, I mean like keyword search and stuff like that is a, is a solved problem.[00:28:06] It's been around for ages, but at least being able to, the phrase we always used back in the day was searching for what code does rather than what code is. Like searching for functionality is really hard. Really hard. The way that we approached that problem was that obviously like a very basic and easy approach is right.[00:28:26] Let's just embed the code base. We'll chunk it up in some arbitrary way, maybe using an AST, maybe using number of lines, maybe using whatever, like some overlapping, just chunk it up and embed it. And once you've done that, I will write a query saying, like, find me some authentication code or something, embed it, and then do the cosine similarity and get the top of K, right?[00:28:43] That doesn't work. And I wish it did work, don't get me wrong. It doesn't work well at all, because fundamentally, if you think about, like, semantically, how code looks is very different to how English looks, and there's, like, not a huge amount of signal that's carried between the two. So what we ended up, the first approach we took, and that kind of did well enough for a long time, was Okay, let's train a model to be able to take in English code queries and then produce a hypothetical code snippet that might look like the answer, embed that, and then do the code similarity.[00:29:18] And that process, although very simple, gets you so much more performance out of the retrieval accuracy. And that was kind of like the start of our of our engine, as we called it, which is essentially like the aggregation of all these different heuristics, like semantic, keyword, LSP, and so on. And then we essentially had like a model that would, given an input, choose which ones it thought were most appropriate, given the type of requests you had.[00:29:45] So the whole code search thing was a really hard problem. And actually what we ended up doing with Genie is we, um, let The model through self play figure out how to retrieve code. So actually we don't use our engine for Genie. So instead of like a request coming in and then like say GPT 4 with some JSON output being like, Well, I think here we should use a keyword with these inputs and then we should use semantic.[00:30:09] And then we should like pick these results. It's actually like, A question comes in and Genie has self played in its training data to be able to be like, okay, this is how I'm going to approach finding this information. Much more akin to how a developer would do it. Because if I was like, Shawn, go into this new code base you've never seen before.[00:30:26] And find me the code that does this. You're gonna probably, you might do some keywords, you're gonna look over the file system, you're gonna try to figure out from the directories and the file names where it might be, you're gonna like jump in one, and then once you're in there, you're probably gonna be doing the, you know, go to definition stuff to like jump from file to file and try to use the graph to like get closer and closer.[00:30:46] And that is exactly what Genie does. Starts on the file system, looks at the file system, picks some candidate files, is this what I'm looking for, yes or no, and If there's something that's interesting, like an import or something, it can, it can command click on that thing, go to definition, go to references, and so on.[00:31:00] And it can traverse the codebase that way.[00:31:02] swyx: Are you using the VS Code, uh, LSP, or? No,[00:31:05] Alistair Pullen: that's not, we're not like, we're not doing this in VS Code, we're just using the language servers running. But, we really wanted to try to mimic the way we do it as best as possible. And we did that during the self play process when we were generating the dataset, so.[00:31:18] Although we did all that work originally, and although, like, Genie still has access to these tools, so it can do keyword searches, and it can do, you know, basic semantic searches, and it can use the graph, it uses them through this process and figures out, okay, I've learned from data how to find stuff in codebases, and I think in our technical report, I can't remember the exact number, but I think it was around 65 or 66 percent retrieval accuracy overall, Measured on, we know what lines we need for these tasks to find, for the task to actually be able to be completed, And we found about 66 percent of all those lines, which is one of the biggest areas of free performance that we can get a hold of, because When we were building Genie, truthfully, like, a lot more focus went on assuming you found the right information, you've been able to reproduce the issue, assuming that's true, how do you then go about solving it?[00:32:08] And the bulk of the work we did was on the solving. But when you go higher up the funnel, obviously, like, the funnel looks like, have you found everything you need for the task? Are you able to reproduce the problem that's seen in the issue? Are you then able to solve it? And the funnel gets narrower as you go down.[00:32:22] And at the top of the funnel, of course, is rank. So I'm actually quite happy with that score. I think it's still pretty impressive considering the size of some of the codebases we're doing, we're using for this. But as soon as that, if that number becomes 80, think how many more tasks we get right. That's one of the key areas we're going to focus on when we continue working on Genie.[00:32:37] It'd be interesting to break out a benchmark just for that.[00:32:41] swyx: Yeah, I mean, it's super easy. Because I don't know what state of the art is.[00:32:43] Alistair Pullen: Yeah, I mean, like, for a, um, it's super easy because, like, for a given PR, you know what lines were edited. Oh, okay. Yeah, you know what lines were[00:32:50] swyx: you can[00:32:51] Alistair Pullen: source it from Cbench, actually.[00:32:52] Yeah, you can do it, you can do it super easily. And that's how we got that figure out at the other end. Um, for us being able to see it against, um, our historic models were super useful. So we could see if we were, you know, actually helping ourselves or not. And initially, one of the biggest performance gains that we saw when we were work, when we did work on the RAG a bit was giving it the ability to use the LSP to like go to definition and really try to get it to emulate how we do that, because I'm sure when you go into an editor with that, where like the LSP is not working or whatever, you suddenly feel really like disarmed and naked.[00:33:20] You're like, Oh my god, I didn't realize how much I actually used this to get about rather than just find stuff. So we really tried to get it to do that and that gave us a big jump in performance. So we went from like 54 percent up to like the 60s, but just by adding, focusing on that.[00:33:34] swyx: One weird trick. Yes.[00:33:37] I'll briefly comment here. So this is the standard approach I would say most, uh, code tooling startups are pursuing. The one company that's not doing this is magic. dev. So would you do things differently if you have a 10 million[00:33:51] Alistair Pullen: token context window? If I had a 10 million context window and hundreds of millions of dollars, I wouldn't have gone and built, uh, it's an LTM, it's not a transformer, right, that they're using, right?[00:34:03] If I'm not mistaken, I believe it's not a transformer. Yeah, Eric's going to come on at some point. Listen, they obviously know a lot more about their product than I do. I don't know a great deal about how magic works. I don't think he knows anything yet. I'm not going to speculate. Would I do it the same way as them?[00:34:17] I like the way we've done it because fundamentally like we focus on the Active software engineering and what that looks like and showing models how to do that. Fundamentally, the underlying model that we use is kind of null to us, like, so long as it's the best one, I don't mind. And the context windows, we've already seen, like, you can get transformers to have, like, million, one and a half million token context windows.[00:34:43] And that works perfectly well, so like, as soon as you can fine tune Gemini 1. 5, then you best be sure that Genie will run on Gemini 1. 5, and like, we'll probably get very good performance out of that. I like our approach because we can be super agile and be like, Oh, well, Anthropic have just released whatever, uh, you know, and it might have half a million tokens and it might be really smart.[00:35:01] And I can just immediately take my JSONL file and just dump it in there and suddenly Genie works on there and it can do all the new things. Does[00:35:07] swyx: Anthropic have the same fine tuning support as OpenAI? I[00:35:11] Alistair Pullen: actually haven't heard any, anyone do it because they're working on it. They are partner, they're partnered with AWS and it's gonna be in Bedrock.[00:35:16] Okay. As far as, as far as I know, I think I'm, I think, I think that's true. Um, cool. Yeah.[00:35:20] Planning[00:35:20] swyx: We have to keep moving on to, uh, the other segments. Sure. Uh, planning the second piece of your four step grand master plan, that is the frontier right now. You know, a lot of people are talking about strawberry Q Star, whatever that is.[00:35:32] Monte Carlo Tree Search. Is current state of the art planning good enough? What prompts have worked? I don't even know what questions to ask. Like, what is the state of planning?[00:35:41] Alistair Pullen: I think it's fairly obvious that with the foundational models, like, you can ask them to think by step by step and ask them to plan and stuff, but that isn't enough, because if you look at how those models score on these benchmarks, then they're not even close to state of the art.[00:35:52] Which ones are[00:35:52] swyx: you referencing? Benchmarks? So, like,[00:35:53] Alistair Pullen: just, uh, like, SweetBench and so on, right? And, like, even the things that get really good scores on human evalor agents as well, because they have these loops, right? Yeah. Obviously these things can reason, quote unquote, but the reasoning is the model, like, it's constrained by the model as intelligence, I'd say, very crudely.[00:36:10] And what we essentially wanted to do was we still thought that, obviously, reasoning is super important, we need it to get the performance we have. But we wanted the reasoning to emulate how we think about problems when we're solving them as opposed to how a model thinks about a problem when we're solving it.[00:36:23] And that was, that's obviously part of, like, the derivation pipeline that we have when we, when we, when we Design our data, but the reasoning that the models do right now, and who knows what Q star, whatever ends up being called looks like, but certainly what I'm excited on a small tangent to that, like, what I'm really excited about is when models like that come out, obviously, the signal in my data, when I regenerate, it goes up.[00:36:44] And then I can then train that model. It's already better at reasoning with it. improved reasoning data and just like I can keep bootstrapping and keep leapfrogging every single time. And that is like super exciting to me because I don't, I welcome like new models so much because immediately it just floats me up without having to do much work, which is always nice.[00:37:02] But at the state of reasoning generally, I don't see it going away anytime soon. I mean, that's like an autoregressive model doesn't think per se. And in the absence of having any thought Maybe, uh, an energy based model or something like that. Maybe that's what QSTAR is. Who knows? Some sort of, like, high level, abstract space where thought happens before tokens get produced.[00:37:22] In the absence of that for the moment, I think it's all we have and it's going to have to be the way it works. For what happens in the future, we'll have to see, but I think certainly it's never going to hinder performance to do it. And certainly, the reasoning that we see Genie do, when you compare it to like, if you ask GPT 4 to break down step by step and approach for the same problem, at least just on a vibe check alone, looks far better.[00:37:46] swyx: Two elements that I like, that I didn't see in your initial video, we'll see when, you know, this, um, Genie launches, is a planner chat, which is, I can modify the plan while it's executing, and then the other thing is playbooks, which is also from Devin, where, here's how I like to do a thing, and I'll use Markdown to, Specify how I do it.[00:38:06] I'm just curious if, if like, you know,[00:38:07] Alistair Pullen: those things help. Yeah, no, absolutely. We're a hundred percent. We want everything to be editable. Not least because it's really frustrating when it's not. Like if you're ever, if you're ever in a situation where like this is the one thing I just wish I could, and you'd be right if that one thing was right and you can't change it.[00:38:21] So we're going to make everything as well, including the code it writes. Like you can, if it makes a small error in a patch, you can just change it yourself and let it continue and it will be fine. Yeah. So yeah, like those things are super important. We'll be doing those two.[00:38:31] Alessio: I'm curious, once you get to writing code, is most of the job done?[00:38:35] I feel like the models are so good at writing code when they're like, And small chunks that are like very well instructed. What's kind of the drop off in the funnel? Like once you get to like, you got the right files and you got the right plan. That's a great question[00:38:47] Alistair Pullen: because by the time this is out, there'll be another blog, there'll be another blog post, which contains all the information, all the learnings that I delivered to OpenAI's fine tuning team when we finally got the score.[00:38:59] Oh, that's good. Um, go for it. It's already up. And, um, yeah, yeah. I don't have it on my phone, but basically I, um, broke down the log probs. I basically got the average log prob for a token at every token position in the context window. So imagine an x axis from 0 to 128k and then the average log prob for each index in there.[00:39:19] As we discussed, like, The way genie works normally is, you know, at the beginning you do your RAG, and then you do your planning, and then you do your coding, and that sort of cycle continues. The certainty of code writing is so much more certain than every other aspect of genie's loop. So whatever's going on under the hood, the model is really comfortable with writing code.[00:39:35] There is no doubt, and it's like in the token probabilities. One slightly different thing, I think, to how most of these models work is, At least for the most part, if you ask GPT4 in ChatGPT to edit some code for you, it's going to rewrite the entire snippet for you with the changes in place. We train Genie to write diffs and, you know, essentially patches, right?[00:39:55] Because it's more token efficient and that is also fundamentally We don't write patches as humans, but it's like, the result of what we do is a patch, right? When Genie writes code, I don't know how much it's leaning on the pre training, like, code writing corpus, because obviously it's just read code files there.[00:40:14] It's obviously probably read a lot of patches, but I would wager it's probably read more code files than it has patches. So it's probably leaning on a different part of its brain, is my speculation. I have no proof for this. So I think the discipline of writing code is slightly different, but certainly is its most comfortable state when it's writing code.[00:40:29] So once you get to that point, so long as you're not too deep into the context window, another thing that I'll bring up in that blog post is, um, Performance of Genie over the length of the context window degrades fairly linearly. So actually, I actually broke it down by probability of solving a SWE bench issue, given the number of tokens of the context window.[00:40:49] It's 60k, it's basically 0. 5. So if you go over 60k in context length, you are more likely to fail than you are to succeed just based on the amount of tokens you have on the context window. And when I presented that to the fine tuning team at OpenAI, that was super interesting to them as well. And that is more of a foundational model attribute than it is an us attribute.[00:41:10] However, the attention mechanism works in, in GPT 4, however, you know, they deal with the context window at that point is, you know, influencing how Genie is able to form, even though obviously all our, all our training data is perfect, right? So even if like stuff is being solved in 110, 000 tokens, sort of that area.[00:41:28] The training data still shows it being solved there, but it's just in practice, the model is finding it much harder to solve stuff down that end of the context window.[00:41:35] Alessio: That's the scale with the context, so for a 200k context size, is 100k tokens like the 0. 5? I don't know. Yeah, but I,[00:41:43] Alistair Pullen: I, um, hope not. I hope you don't just take the context length and halve it and then say, oh, this is the usable context length.[00:41:50] But what's been interesting is knowing that Actually really digging into the data, looking at the log probs, looking at how it performs over the entire window. It's influenced the short term improvements we've made to Genie since we did the, got that score. So we actually made some small optimizations to try to make sure As best we can without, like, overdoing it, trying to make sure that we can artificially make sure stuff sits within that sort of range, because we know that's our sort of battle zone.[00:42:17] And if we go outside of that, we're starting to push the limits, we're more likely to fail. So just doing that sort of analysis has been super useful without actually messing with anything, um, like, more structural in getting more performance out of it.[00:42:29] Language Mix[00:42:29] Alessio: What about, um, different languages? So, in your technical report, the data makes sense.[00:42:34] 21 percent JavaScript, 21 percent Python, 14 percent TypeScript, 14 percent TSX, um, Which is JavaScript, JavaScript.[00:42:42] Alistair Pullen: Yeah,[00:42:42] swyx: yeah, yeah. Yes,[00:42:43] Alistair Pullen: yeah, yeah. It's like 49 percent JavaScript. That's true, although TypeScript is so much superior, but anyway.[00:42:46] Alessio: Do you see, how good is it at just like generalizing? You know, if you're writing Rust or C or whatever else, it's quite different.[00:42:55] Alistair Pullen: It's pretty good at generalizing. Um, obviously, though, I think there's 15 languages in that technical report, I think, that we've, that we've covered. The ones that we picked in the highest mix were, uh, the ones that, selfishly, we internally use the most, and also that are, I'd argue, some of the most popular ones.[00:43:11] When we have more resource as a company, and, More time and, you know, once all the craziness that has just happened sort of dies down a bit, we are going to, you know, work on that mix. I'd love to see everything ideally be represented in a similar level as it is. If you, if you took GitHub as a data set, if you took like how are the languages broken down in terms of popularity, that would be my ideal data mix to start.[00:43:34] It's just that it's not cheap. So, um, yeah, trying to have an equal amount of Ruby and Rust and all these different things is just, at our current state, is not really what we're looking for.[00:43:46] Running Code[00:43:46] Alessio: There's a lot of good Ruby in my GitHub profile. You can have it all. Well, okay, we'll just train on that. For running tests It sounds easy, but it isn't, especially when you're working in enterprise codebases that are kind of like very hard to spin up.[00:43:58] Yes. How do you set that up? It's like, how do you make a model actually understand how to run a codebase, which is different than writing code for a codebase?[00:44:07] Alistair Pullen: The model itself is not in charge of like setting up the codebase and running it. So Genie sits on top of GitHub, and if you have CI running GitHub, you have GitHub Actions and stuff like that, then Genie essentially makes a call out to that, runs your CI, sees the outputs and then like moves on.[00:44:23] Making a model itself, set up a repo, wasn't scoped in what we wanted Genie to be able to do because for the most part, like, at least most enterprises have some sort of CI pipeline running and like a lot of, if you're doing some, even like, A lot of hobbyist software development has some sort of like basic CI running as well.[00:44:40] And that was like the lowest hanging fruit approach that we took. So when, when Genie ships, like the way it will run its own code is it will basically run your CI and it will like take the, um, I'm not in charge of writing this. The rest of the team is, but I think it's the checks API on GitHub allows you to like grab that information and throw it in the context window.[00:44:56] Alessio: What's the handoff like with the person? So, Jeannie, you give it a task, and then how long are you supposed to supervise it for? Or are you just waiting for, like, the checks to eventually run, and then you see how it goes? Like, uh, what does it feel like?[00:45:11] Alistair Pullen: There are a couple of modes that it can run in, essentially.[00:45:14] It can run in, like, fully headless autonomous modes, so say you assign it a ticket in linear or something. Then it won't ask you for anything. It will just go ahead and try. Or if you're in like the GUI on the website and you're using it, then you can give it a task and it, it might choose to ask you a clarifying question.[00:45:30] So like if you ask it something super broad, it might just come back to you and say, what does that actually mean? Or can you point me in the right direction for this? Because like our decision internally was, it's going to piss people off way more if it just goes off and has, and makes a completely like.[00:45:45] ruined attempt at it because it just like from day one got the wrong idea. So it can ask you for a lot of questions. And once it's going much like a regular PR, you can leave review comments, issue comments, all these different things. And it, because you know, he's been trained to be a software engineering colleague, responds in actually a better way than a real colleague, because it's less snarky and less high and mighty.[00:46:08] And also the amount of filtering has to do for When you train a model to like be a software engineer, essentially, it's like you can just do anything. It's like, yeah, it looks good to me, bro.[00:46:17] swyx: Let's[00:46:17] Alistair Pullen: ship it.[00:46:19] Finetuning with OpenAI[00:46:19] swyx: I just wanted to dive in a little bit more on your experience with the fine tuning team. John Allard was publicly sort of very commentary supportive and, you know, was, was part of it.[00:46:27] Like, what's it like working with them? I also picked up that you initially started to fine tune what was publicly available, the 16 to 32 K range. You got access to do more than that. Yeah. You've also trained on billions of tokens instead of the usual millions range. Just, like, take us through that fine tuning journey and any advice that you might have.[00:46:47] Alistair Pullen: It's been so cool, and this will be public by the time this goes out, like, OpenAI themselves have said we are pushing the boundaries of what is possible with fine tuning. Like, we are right on the edge, and like, we are working, genuinely working with them in figuring out how stuff works, what works, what doesn't work, because no one's doing No one else is doing what we're doing.[00:47:06] They have found what we've been working on super interesting, which is why they've allowed us to do so much, like, interesting stuff. Working with John, I mean, I had a really good conversation with John yesterday. We had a little brainstorm after the video we shot. And one of the things you mentioned, the billions of tokens, one of the things we've noticed, and it's actually a very interesting problem for them as well, when you're[00:47:28] How big your peft adapter, your lore adapter is going to be in some way and like figuring that out is actually a really interesting problem because if you make it too big and because they support data sets that are so small, you can put like 20 examples through it or something like that, like if you had a really sparse, large adapter, you're not going to get any signal in that at all.[00:47:44] So they have to dynamically size these things and there is an upper bound and actually we use. Models that are larger than what's publicly available. It's not publicly available yet, but when this goes out, it will be. But we have larger law adapters available to us, just because the amount of data that we're pumping through it.[00:48:01] And at that point, you start seeing really Interesting other things like you have to change your learning rate schedule and do all these different things that you don't have to do when you're on the smaller end of things. So working with that team is such a privilege because obviously they're like at the top of their field in, you know, in the fine tuning space.[00:48:18] So we're, as we learn stuff, they're learning stuff. And one of the things that I think really catalyzed this relationship is when we first started working on Genie, like I delivered them a presentation, which will eventually become the blog post that you'll love to read soon. The information I gave them there I think is what showed them like, oh wow, okay, these guys are really like pushing the boundaries of what we can do here.[00:48:38] And truthfully, our data set, we view our data set right now as very small. It's like the minimum that we're able to afford, literally afford right now to be able to produce a product like this. And it's only going to get bigger. So yesterday while I was in their offices, I was basically, so we were planning, we were like, okay, how, this is where we're going in the next six to 12 months.[00:48:57] Like we're, Putting our foot on the gas here, because this clearly works. Like I've demonstrated this is a good, you know, the best approach so far. And I want to see where it can go. I want to see what the scaling laws like for the data. And at the moment, like, it's hard to figure that out because you don't know when you're running into like saturating a PEFT adapter, as opposed to actually like, is this the model's limit?[00:49:15] Like, where is that? So finding all that stuff out is the work we're actively doing with them. And yeah, it's, it's going to get more and more collaborative over the next few weeks as we, as we explore like larger adapters, pre training extension, different things like that.[00:49:27] swyx: Awesome. I also wanted to talk briefly about the synthetic data process.[00:49:32] Synthetic Code Data[00:49:32] swyx: One of your core insights was that the vast majority of the time, the code that is published by a human is encrypted. In a working state. And actually you need to fine tune on non working code. So just, yeah, take us through that inspiration. How many rounds, uh, did you, did you do? Yeah, I mean, uh,[00:49:47] Alistair Pullen: it might, it might be generous to say that the vast majority of code is in a working state.[00:49:51] I don't know if I don't know if I believe that. I was like, that's very nice of you to say that my code works. Certainly, it's not true for me. No, I think that so yeah, no, but it was you're right. It's an interesting problem. And what we saw was when we didn't do that, obviously, we'll just hope you have to basically like one shot the answer.[00:50:07] Because after that, it's like, well, I've never seen iteration before. How am I supposed to figure out how this works? So what the what you're alluding to there is like the self improvement loop that we started working on. And that was in sort of two parts, we synthetically generated runtime errors. Where we would intentionally mess with the AST to make stuff not work, or index out of bounds, or refer to a variable that doesn't exist, or errors that the foundational models just make sometimes that you can't really avoid, you can't expect it to be perfect.[00:50:39] So we threw some of those in with a, with a, with a probability of happening and on the self improvement side, I spoke about this in the, in the blog post, essentially the idea is that you generate your data in sort of batches. First batch is like perfect, like one example, like here's the problem, here's the answer, go, train the model on it.[00:50:57] And then for the second batch, you then take the model that you trained before that can look like one commit into the future, and then you let it have the first attempt at solving the problem. And hopefully it gets it wrong, and if it gets it wrong, then you have, like, okay, now the codebase is in this incorrect state, but I know what the correct state is, so I can do some diffing, essentially, to figure out how do I get the state that it's in now to the state that I want it in, and then you can train the model to then produce that diff next, and so on, and so on, and so on, so the model can then learn, and also reason as to why it needs to make these changes, to be able to learn how to, like, learn, like, solve problems iteratively and learn from its mistakes and stuff like that.[00:51:35] Alessio: And you picked the size of the data set just based on how much money you could spend generating it. Maybe you think you could just make more and get better results. How, what[00:51:42] Alistair Pullen: multiple of my monthly burn do I spend doing this? Yeah. Basically it was, it was very much related to Yeah. Just like capital and um, yes, with any luck that that will be alleviated to[00:51:53] swyx: very soon.[00:51:54] Alistair Pullen: Yeah.[00:51:54] SynData in Llama 3[00:51:54] swyx: Yeah. I like drawing references to other things that are happening in, in the, in the wild. So, 'cause we only get to release this podcast once a week. Mm-Hmm. , the LAMA three paper also had some really interesting. Thoughts on synthetic data for code? I don't know if you have reviewed that. I'll highlight the back translation section.[00:52:11] Because one of your dataset focuses is updating documentation. I think that translation between natural language, English versus code, and

Awareness of the specific clinical and MRI features associated with AQP4-NMOSD and MOGAD and the limitations of currently available antibody testing assays is crucial for a correct diagnosis and differentiation from MS. Growing availability of effective treatment options will lead to personalized therapies and improved outcomes. In this episode, Gordon Smith, MD, FAAN speaks with Elia Sechi, MD, author of the article “NMOSD and MOGAD,” in the Continuum August 2024 Autoimmune Neurology issue. Dr. Smith is a Continuum® Audio interviewer and professor and chair of neurology at Kenneth and Dianne Wright Distinguished Chair in Clinical and Translational Research at Virginia Commonwealth University in Richmond, Virginia. Dr. Sechi is a neurology consultant in the neurology unit of the Department of Medical, Surgical and Experimental Sciences at the University Hospital of Sassari in Sassari, Italy. Additional Resources Read the article: NMOSD and MOGAD Subscribe to Continuum: shop.lww.com/Continuum Earn CME (available only to AAN members): continpub.com/AudioCME Continuum® Aloud (verbatim audio-book style recordings of articles available only to Continuum® subscribers): continpub.com/Aloud More about the American Academy of Neurology: aan.com Social Media facebook.com/continuumcme @ContinuumAAN Host: @gordonsmithMD Guest: @EliaSechi Full episode transcript available here Dr Jones: This is Dr Lyell Jones, Editor-in-Chief of Continuum, the premier topic-based neurology clinical review and CME journal from the American Academy of Neurology. Thank you for joining us on Continuum Audio, which features conversations with Continuum's guest editors and authors, who are the leading experts in their fields. Subscribers to the Continuum journal can read the full article or listen to verbatim recordings of the article and have access to exclusive interviews not featured on the podcast. Please visit the link in the episode notes for more information on the article, subscribing to the journal, and how to get CME.   Dr Smith: Hello. This is Dr Gordon Smith. Today, I've got the great pleasure of interviewing Dr Elia Sechi about his article on aquaporin-4 antibody-positive NMOSD and MOGAD, which appears in the August 2024 Continuum issue on autoimmune neurology. Dr Sechi, before we dig into this really exciting topic about NMOSD and MOGAD, perhaps you can tell our listeners a little bit about yourself, where you practice, how you got interested in this topic.   Dr Sechi: Hi, Dr Smith, and thank you for having me. So, my story begins here in Italy, actually - I did my med school and residency in neurology at the University Hospital of Sassari here in Sardinia. And after residency, I was lucky enough to be accepted at the Mayo Clinic in Rochester, Minnesota for a research fellowship - and that's where I spent the next three-and-a-half years, approximately. My fellowship was focused on autoimmune neurology, specifically demyelinating diseases of the CNS associated with antibodies – so, of course, NMOSD and MOGAD mostly, but also myelitis, MS, and autoimmune encephalitis – so, there's where I built most of my expertise in the field. And then, it was at the beginning of the pandemic (of the COVID pandemic) that I came back here to Italy to practice. And now, I work mostly as a neurohospitalist, and I also have my subspecialty outpatient service for patients with autoimmune neurological diseases.   Dr Smith: I wonder if you might just give us a minute or two about what it was like training in Mayo? I went to medical school there, and, you know, at the time, I thought that was just normal healthcare and normal training, and, you know, it was only later that I realized how amazing that was. I mean, this is where aquaporin-4 was discovered - I mean, what was that like? It must have been really cool training there with that team.   Dr Sechi: Yeah. You know, it's the temple of autoimmune neurology. It's fantastic. It's a great environment, very stimulating. You know, I think the great strength is that they see many patients with rare diseases, so, you get really confident with MRI features and clinical features with the history of the diseases, and this is important to recognize the typical features and differentiate from MS to do a good differential. And, of course, you know, the team is fantastic - superstars in the field. It's very, very stimulating. So, it's something that I definitely recommend. It was a fantastic experience.   Dr Smith: Well, you know what's great is, I don't know if you follow sports, but, you know, like, in the United States and college football, people refer to Gator Nation – right, these are all people who are fans of the Florida Gators. Or, maybe it's AC Milan nation in Italy. I don't want to get there (Roma, whatever), but there are all these people who've trained at Mayo, and, uh, what's great is it's a small world, right? So, I'm super excited to meet you and talk about this, because - I'm going to add you to my Rolodex, because when I see these patients (I'm a neuromuscular guy, but I do a fair bit of inpatient time), I'm always calling a small number of people, so I'm really pleased to meet you so I can put you on speed dial and ask you questions about these patients. I wonder if, maybe, we can begin? You know, in our preparatory discussions, I shared that I just came off our hospital service, and we had several of these patients, you know, where we were thinking about NMO or MOGAD as a cause for their problem - and I wonder if you just have any pearls or pitfalls in when we should suspect this, right? Most of us recognize bilateral optic neuritis, longitudinally extensive myelitis - we need to be thinking about these. Any pearls or pitfalls for when we should or should not be looking for these disorders?   Dr Sechi: Yeah, I think this is a great question. I think the first thing to pay attention is the phenotype. So, the clinical MRI phenotype that are typically associated with NMOSD and MOGAD, they are quite characteristic - and it's important to be aware of those phenotypes and how they differ from MS, because in my experience, one of the common misinterpretation (misconception) in clinical practice is just to test for AQP-4 and MOG antibodies in any patient with new-onset demyelinating disease of the CNS, even if it's typical MS. And, this is quite wrong, because MS is way more common in clinical practice - it's sixty, eighty times more common than NMO and MOGAD - and so, if you test all those patients without filter (indiscriminately) for antibodies, you increase the risk of false positivity exponentially, even if you have a highly specific test. So, first of all, I think it's good to select the right patients to test. As you said, patients with LTM, extensive involvement of the optic nerves on MRI, ADEM - there's also patients with cortical encephalitis phenotype (which is a rare phenotype of MOGAD), but not definitely good to test the typical MS patients. This is the first thing.   Dr Smith: Yeah, I mean, that's an issue in all of neurology, isn't it, right? I mean, it's an issue in sort of just sending, you know, the Mayo panel, the autoimmune encephalitis panels - you need to select patients carefully, but I think this attention to prior probability is something that we need to really focus on in multiple areas. So, I wonder if you might expand a little bit on assays. I do a lot of work in myasthenia and I know which labs do a really good job with, you know, acetylcholine receptor antibody testing and those that maybe do not, and there are different methodologies for testing - do you have any wisdom in terms of how to select a lab, what to look for, and how to interpret the results you see based on the particular assay that's being used?    Dr Sechi: Yeah, that's a critical point. I agree. And especially if you work in myasthenia, you're very well aware of the differences between different assays, and nowadays, most of the high-quality assays are cell-based assays (either fixed or live) - it's the same in myasthenia, and people need to pay attention to some of the less-specific assays. Let's say ELISA, for instance - testing AQP-4 and MOG antibodies with ELISA is quite dangerous, because the risk of false positivity is quite high. So, it's good to know what assays to trust most and also good to know what's the right specimen to send for antibody test. For instance, with AQP-4, we know that serum testing is recommended only, and the CSF doesn't add much, but with MOG, we know that approximately 10% of patients have an isolated positivity in the CSF, which is interesting, because it means that when you have a patient with a strong diagnostic suspicion as a phenotype that is highly suggestive for MOGAD and the serum testing is negative, you may consider testing the CSF to increase your sensitivity. So, this is very important.   Dr Smith: So, I have a question for you that may seem a little naïve, but I bet other people are thinking it - can you tell us why it is that these disorders affect optic nerve and spinal cord preferentially? And I think, for NMO, the whole area postrema thing seems awfully specific to me. What's the deal? Why are these areas preferentially affected by these antibody-mediated disorders?   Dr Sechi: This is a tough question. For NMO, we know, probably, there is higher expression of some of the isoforms. Let's say there is a higher density of AQP-4 molecules that target the most affected regions - so, of course, AQP-4 is preferentially expressed in the subependymal regions around the ventricles and in the spinal cord and optic nerves, but you may have, also, solutions along the cortical spinal tracts in case of the brain involvement. The area postrema is kind of a different explanation, because there is a sort of permeability - increased permeability - of the blood-brain barrier there. So, there are several factors in MOGAD - this is not very clear, so, this is a great topic to study in the future, I think.   Dr Smith: This is a really interesting area, and one that's really benefited by significant therapeutic development. I wonder if you might look a little bit in the future and tell us, maybe, the agent, or perhaps the target, that you're most excited about therapeutically that's coming down the road these days?   Dr Sechi: There are trials ongoing for MOGAD, which is the real need in terms of treatment, because for NMO, we already have three, four drugs that have been approved and which efficacy have been demonstrated by randomized clinical trials, and those are B-cell depleting agents, IL-6 inhibitors, and complement inhibitors. For MOGAD, this is still a gray zone, because the optimal treatment strategies remains to be defined. There are ongoing trials that are quite promising on IL-6 inhibitors and the inhibitors of the neonatal Fc receptor (which is also used in myasthenia gravis as you know). And something that seems to be quite effective - a good option for long-term treatment in these patients and relapse prevention - is also the periodic administration of IVIG (intravenous immunoglobulin), which is a nice option, for instance, in the children where you want to avoid immunosuppressants of other types. So, I think IL-6 is going to show to be very effective in the end. We'll see. We'll see.   Dr Smith: So, I wonder if I might just give you a vignette and get your thoughts about, kind of, acute management, right? I just took care of a patient who had a longitudinally extensive myelitis and she was essentially paraplegic and actually came in progressing fairly rapidly, and we, of course, started her on IV methylprednisolone, sent off the proper diagnostic testing - the question I have is, how quickly do you advance therapy and go to IVIG or plasma exchange when you're encountering these, right? It takes, you know, I think the turnaround time is, you know, often about a week to get these tests back (at least several days) - I mean, should we be going very quickly to plasma exchange in someone who has a severe phenotype? Is it okay to do three to five days of IV methylprednisolone and wait for the results to come back? What's the right approach?   Dr Sechi: I think this is a great question, actually. You know, management of the acute attacks probably is the most important thing, you know, to allow a good recovery, and I think timing of PLEX administration should be very short - so, the threshold for PLEX should be low, especially when the attack is severe, and this has to be done regardless of antibody testing results, which is typically not available before one or two weeks (at least a year in Italy), I think, in many hospitals. So, I think the risk-benefit ratio of administering PLEX is in favor of treatment in these patients, because the side effects (the potential side effects) are very rare and can be prevented. Some diseases, they can mimic NMO or MOGAD - they're very rare, and they can really worsen with PLEX. As an example, we can say spinal cord infarction can worsen, maybe, because of hypotension due to PLEX. Or some very rare infections, like one case, a bad case of intramedullary spinal cord abscess that looked really similar to an AQP-4 IgG-related LTM - and it was bad, because the patient had no fever, no signs of infection, the CSF culture was negative initially, so we ended up doing a biopsy after failure of PLEX and steroids. So, it is recommended to start within the first three to five days, preferentially, in severe cases, and this is great for the outcome of the patient, so, I do recommend PLEX as a second treatment option. And I'm not sure about IVIG acutely. There is some data on MOG, but it's still controversial - it works a lot when PLEX fails, but it can be considered after PLEX, of course. And there are some very rare patients that do not improve, even after IV methylprednisolone, PLEX, or IVIG, and so, you need to consider some rescue therapies. In those patients, it's kind of complicated, because there are some options, like IL-6 inhibitors seem to be quite effective and quite fast-acting for MOGAD attacks, and also eculizumab and complement inhibitors can be an option in patients with AQP-4 - but maybe less in patients with MOG. So, these are the possibilities (very quickly).   Dr Smith: So, you mentioned FcRn inhibitors a moment ago, and I wonder, do you see a future where - and I think you were mentioning them as maybe more chronic therapy? Correct me if I'm wrong.   Dr Sechi: Yeah, yeah.   Dr Smith: Do you foresee a role for these agents in acute management? I mean, there are some that, you know, very quickly lower immunoglobulin levels, though just looking out in the future, you think that these sort of infusion therapies that we think about chronic therapy (you mentioned, you know, complement inhibitors) are going to be useful in acute management?   Dr Sechi: Yeah, it depends. It's a good option to try. I'm not sure about the time to action. It's very dependent on that, because IL-6 inhibitors and complement inhibitors are very fast-acting (I think they can be effective already within twelve hours, 24 hours, which is good), but it's reasonable that, also, Fc inhibitors can be an alternative in the future. As far as I know, there is not much in the literature, but it's good to try in the future in case, acutely.   Dr Smith: Well, exciting times indeed. Elia, thank you so much for a great discussion. I thoroughly enjoyed this. I look forward to visiting you soon, and I want to congratulate you on a really great article that's very interesting and very clinically useful.   Dr Sechi: Well, thank you, Dr Smith. This is my pleasure, and thank you for great questions. I had a great time and hope the readers of Continuum will like the article and the nice figures we have put together. So, thank you, thank you very much.   Dr Smith: Well, again, congratulations. And for our listeners today, I've been interviewing Dr Elia Sechi, whose article on aquaporin-4 antibody-positive NMOSD and MOGAD appears in the most recent issue of Continuum, which is on autoimmune neurology. It's a very exciting issue. Please check out Continuum Audio episodes from this and other issues of Continuum. And thanks to you all for joining us today.   Dr Monteith: This is Dr Teshamae Monteith, Associate Editor of Continuum Audio. If you've enjoyed this episode, you'll love the journal, which is full of in-depth and clinically relevant information important for neurology practitioners. Use this link in the episode notes to learn more and subscribe. AAN members, you can get CME for listening to this interview by completing the evaluation at Continpub.com/AudioCME. Thank you for listening to Continuum Audio.

Diving deep into the vaccines, tests, circumcision, apgar score, jaundice levels, hearing test AND MORE that they do on baby while still in the hospital!Today's episode with Postpartum Nurse Jessica covers:Jaundice, How to fix jaundice levelsBaby losing weightHow much weight can baby loseApgar scoreHearing testVitamin KHepatitis B (hep b)erythromycin in the eyes (eye ointment)CircumcisionAND MORE!!-------------------------------------------------------------------------------------------------------------IMPORTANT LINKS:- Click HERE for our Mom Club On Patreon!- Fit Mama In 30: Prenatal Workout Program that I'm Doing: Click HERE                   Use code LEARNINGTOMOM for the BIGGEST discount they have!! ($20 off their annual plan)- Shop Tender Seasons for pregnancy and postpartum wear that you'll feel confident and comfortable in!Use code LEARNINGTOMOM for 15% off! Connect with them on Instagram HereHow to connect with Jessica:- Her instagram is linked HERE- Newborn weight website HEREThe earlier LTM episode Jessica was on (What To Expect in the First 48 Hours After Birth with Postpartum Nurse Jessica | Ep. 37)- Spotify- Apple Podcasts-------------------------------------------------------------------------------------------------------------what happens to baby after birth in hospital, baby's first vaccines, postpartum stay in the hospital, first days with a newborn, baby in the hospital, postpartum in the hospital, Birth podcast, Motherhood podcast, postpartum podcast, Best birth podcast, First time mom podcast, Natural birth podcast, New mom podcast, what is the best pregnancy podcast, That pregnancy podcast, Best pregnancy podcast, Natural pregnancy podcast, pregnancy podcasts for first time moms, Pregnancy podcast is it Normal, Podcasts for early pregnancy, Pregnancy podcasts, Podcasts for expecting mothers, Pregnancy podcasts for first time mothers, Podcasts for expecting mother, mom podcast, motherhood podcast, birthing podcast, First time mom podcast, birth podcast, What is the best pregnancy podcast, Podcast for expecting mothers, motherhood podcast, how to prepare for birth, Best pregnancy podcast, new mom podcast, that pregnancy podcast, Pregnancy podcast for first time moms, Natural pregnancy podcast,  Pregnancy podcasts for first time moms, pregnancy podcast, that pregnancy podcast, Dealing with pregnancy loss, Postpartum weight loss, Pregnancy relaxation techniques, Preconception planning, Overcoming pregnancy fears, Baby wearing benefits, Breastfeeding in public, Prenatal exercise benefits, Pregnancy and work balance, Postpartum hair loss, Pregnancy cravings explained, Pregnancy mood swings, Postpartum mental health, Pregnancy back pain relief, Labor and delivery tips, Postpartum bleeding, birth in a hospital, natural birth in a hospital, birth center birth experience, Pregnancy symptoms, First

It's been a while since we've done an entire episode dedicated to Canon cameras, and today, we have some real treats! We're discussing the earliest Canon cameras, those LTM rangefinders that put Canon on the map and, more importantly, Canon LTM glass; some talk about the AE-1 and AE-1 Programs and a little about choosing the right EOS camera for you. And if you are looking at getting into Canon's rangefinder line, Bill cannot recommend enough the wonderful book Canon Rangefinder Cameras 1933-68 by Peter Dechert! We're also welcoming a special guest who is no stranger to CCR; Alex Smith is back with his extensive collection of Canon LTM glass.

For the second episode in a row, we promise to deliver a thrilling discussion about two brands of Japanese cameras that have more in common than you might think.  Fuji and Ricoh both started making products for the photography industry right before the war, but originally started out in different industries, for Fuji, it was celluloid plastics and Ricoh (then called Riken) it was as a chemicals research company.  Each took a path making lenses and cameras, but in both instances photography was never each company's main focus.  Both Fuji and Ricoh invested heavily in the photocopier industry in the later part of the 20th century, and both successfully made the jump into the digital camera world.  Both companies continue to make new cameras today, Fuji with their excellent lineup of X-Series digital mirrorless, and Ricoh with their GR point and shoots and their ownership of the Pentax brand. In this episode, Anthony, Paul, Theo, and Mike are joined by Paul's personal Fuji rep, Bob Grzesiak, returning callers, Brad Swain, Howard Sandler, Mark Faulkner, Miles Libak, and first time caller, Dan Cuny. We extensively cover many of Fuji's medium format cameras from the Texas Leica, their variety of 4.5x6, 6x7, 6x8, 6x9, and even their lone 6x12 model, plus the company's mid century rangefinders, the extremely compact and very quirky Fujica Mini, their entry into SLRs with the Fujicarex, the Fuji ST-series, and the unloved Fuji AX-series.  For Ricoh, time is spent on their Auto-Half series and Hi-Color 35, along with some of Ricoh's screw mount SLRs and Mike's favorite Ricoh, the Anscomark M interchangeable lens rangefinder camera. In addition, we get to hear which of these two companies used to throw the best parties for camera dealers, a little bit of history regarding the Fuji Finepix S-Series DSLRs, a bit about the Ricoh GR-series, plus a strange digital camera that had not only interchangeable lenses, but also interchangeable sensors, plus some bonus discussion about Mamiya Prismat "bastard cameras" like the original Ricoh Singlex with the "sorta" Nikon F-mount, and a strange Tower branded camera made by Mamiya with an Ihagee Exakta lens mount and a Canon lens. This proved to be a very lively discussion, covering a huge amount of different camera models from two brands that don't get discussed nearly as often as others.  If you find that your collection is thin on cameras by either of these manufacturers, this is the episode that will surely flare up a case of GAS.  Get ready to open your wallet! For the next episode, we will be exploring the world of third party lens makers like Vivitar, Sigma, Tamron, Spiratone and many others, plus we hope to revisit a topic that started in a thread on the Camerosity Podcast Facebook group regarding home processing.  Episode 74 will be recorded on Monday, July 22nd at 7pm Central Daylight Time and 8pm Eastern Daylight Time. The guys and I rarely know where each episode is going to go until it happens, so if you'd like to join us on a future episode, be sure to look out for our show announcements on our Camerosity Podcast Facebook page, the Camerosity Discord server, and right here on mikeeckman.com. We usually record every other Monday and announcements, along with the Zoom link are typically shared 2-3 days in advance. In This Episode Fuji and Ricoh Have Remarkably Similar Histories / Roico 127 Camera Fuji Made LTM Lenses and One Nikon S-Mount Lens in the 50s Fuji Made the Hasselblad XPan / Fuji Large Format Lenses Fujica ST-801 and ST-901 / Fuji's f/1.6 and f/2.2 Lenses and 1/700 Shutter Speeds Fujica 35SE Rangefinder and Other Fixed Lens Rangefinders / Fujicarex II SLR A Change of Priorities Caused Fuji To Change Their Lineup in the Mid 1960s Rapid Cassette Fujis and the Half Frame Fujica Mini The Fujica V2 and Compact Deluxe Rangefinders Are Excellent Fuji GF670 and Other Folding Cameras / Fujicaflex Automat TLR Bob Loans a Fuji G617 to Car & Driver and They Destroy It The Fujita 66SL (Kalimar 66) is Not a Real Fuji The Fuji GX680 is Massive and Difficult to Sell Fujifilm FinePix S-Pro Series DSLRs / Super CCD Sensors Fuji Ignored Their AX SLRs / Fujica AX-5 The Ricoh TLS-401 Has a Useless Waist Level Finder Paul Used to Party Hard With the President of Ricoh / Ricoh Solar Powered Cameras Ricoh Made the Anscomark M in Exchange for Photo Copier Technology from GAF The Ricoh Singlex Uses a Variation of the Nikon F-Mount But it is Not the Same Mamiya Made Prismat Cameras That Are the Basis for the Nippon Kogaku Nikkorex, Ricoh Singlex, and Many Others Other Bastard Mamiya Cameras / Canon Canonex / Mamiya Prismat and Tower Cameras with Canon Exakta Mount Lenses Ricoh GR-Series Compact Digital Cameras / Ricoh GXR Interchangeable Sensor Cameras Ricoh Diacord / Ricoh 500 and 519M /  Ricoh Hi-Color 35 Mark Faulkner Sells his Leica M3 / The Mystique of the M3 / X-Raying Boxes at Bowling Alleys Kenneth Panda Sells Kits to Adapt Fuji Ace Instant Cameras to Use Instax Film Lightning Round: Which Cameras Do You Regret Not Taking Out More Often? Shooting IR and Full Spectrum Through Modified Digital Cameras / Sony DSC-F828 Kodak Bantam Special / The Canon 7 is Still the Best Value in LTM 35mm Rangefinders Links The Camerosity Podcast is now on Discord! Join Anthony, Paul, Theo, and Mike on our very own Discord Server. Share your GAS and photography with other listeners in the Lounge or in our dedicated forums. If you have questions for myself or the other guys, we have an “Ask the Hosts” section as well where you can get your question answered on a future show! Check it out! https://discord.gg/PZVN2VBJvm. If you would like to offer feedback or contact us with questions or ideas for future episodes, please contact us in the Comments Section below, our Camerosity Facebook Group, Instagram page, or Discord server. The Official Camerosity Facebook Group - https://www.facebook.com/groups/camerositypodcast Mark Faulkner - https://thegashaus.com/ Dan Cuny - https://www.dancuny.com/camera-collecting-blog Camerosity Instagram - https://www.instagram.com/camerosity_podcast/ Theo Panagopoulos - https://www.photothinking.com/ Paul Rybolt - https://www.ebay.com/usr/paulkris Anthony Rue - https://www.instagram.com/kino_pravda/

Meet The Justice Doula, Micky ScottBey Jones! Originally mistyped as an 8, which makes a ton of sense, she found her inner critic and her "inner BFF" as an Enneagram 1, and no accompanies others as they birth precious things into the world like love, empathy, self-compassion, liberation, healing and resilience. You can find out more about Micky at mickyscottbeyjones.com   PLUG TIME   2024 Enneagram Bootcamp Stress, Loss, & Relationships August 1-3 in Dallas, TX or join Online This is LTM's biggest teaching event of the year, and we are thrilled to be back at The Grove Church in Dallas again. There are still some in person tickets available, but if you can't make it to Dallas we hope you will join online. Everyone registered will have access to the replay of the event as well. Join Suzanne and Joe for 3 days of learning, growth, and community! visit lifeinthetrinityministry.com for all of the important info and to register!   TODAY's INTRO Michael W. Smith, Place In This World 1991 The Today Show (NBC, 2019) Parks and Rec (S5. E15) The Office (S6. E18, The Delivery Part 2)

We've officially named Luke the first member of The Enneagram Journey 5 Timer Club! It's a big deal. Not as big a deal though as his latest book, How To Love The Life You Already Have. Luke (Enneagram 7), Suzanne, and Joel got a little distracted by some great conversation, so Suzanne and Luke are going to continue their talk on Instagram Live Wednesday, July 3 at 3:00 pm CST. You can find Suzanne on Instagram @suzannestabile and Luke @lukeanorsworthy We will try to add the link or the video to theenneagramjourney.com if you cannot join live.   Are you signed up for 2024 Enneagram Bootcamp: Stress, Loss, & Relationships? Visit lifeinthetrinityministry.com for all of the important information for the Enneagram event of the year, including pre-conference Yoga workshop with Courtney Perry, aka Yenneagram, and a post-conference workshop for Adoptees and former foster youth with Melissa Corkum. August 1-4, 2024 in Dallas or Online. If you miss joining in Dallas, we hope you can join Suzanne and LTM in September in Alabama or October in South Carolina! Visit www.lifeinthetrinityministry.com for all of the details, dates, and times!   TODAY's INTRO Hello (Adele 25) David Whyte (A lyrical bridge between past, present, and future) Rolling In The Deep (Adele 21) 5 Timers Club (SNL S47: E13) Easy On Me (Adele 30) Mythic Quest (S1: E4)  

Enneagram 8, Tony Jones, steps out of the woods and into The Micah Center to sit down with Suzanne and her husband, Rev. Joseph Stabile, to talk about his latest book, The God of Wild Places.   “One of the things I like about the wilderness is that it is not controllable. We've paved too many wild places.”   If you haven't read The God of Wild Places yet, no worries! Give this episode a listen and it will get you prepped for it.   PLUG TIME! June 2024 is full of great sales at LTM. All shirts are only $5 Prayer Beads are in stock All books are between $5 - $13 New Enneagram Bracelets for $10 Free shipping on all orders over $9 with the code PROUD And be sure to check out the upcoming teaching events in Charleston, South Carolina, Birmingham, Alabama, and of course Enneagram Bootcamp in August here in Dallas or online! You can find out about all of this and so much more (don't forget to apply for the 2025 LTM Cohort program!!) by visiting lifeinthetrinityministry.com   TODAY'S INTRO Big Yellow Taxi by Counting Crows We Are The Millers (2013, Warner Bros.) Forgetting Sarah Marshall (2008, Universal Pictures) Will Ferrell as Robert Goulet (SNL, the best of Will Ferrell) A River Runs Through It (1992, Columbia Pictures)  

Air Date - 12 June 2024Join Inspired Living Host Marc Lainhart – The Intuitive Prospector™ this “Wisdom Wednesday” as we welcome to the show for the first time Mr. Glenn Cort, the Executive Director of the ‘Getting Along Academy' and Author of his new book, ‘Letters to Mikey (LTM) Messages of Hope and Optimism for Young Americans.  In America, we have so much, but something is missing. There is a widespread fear of what we are becoming. Our new normal is invisible yet undeniable. Subtle, yet controlling. We can all feel it, but we can't put our finger on what it is. A generalized yet overwhelming sense of noise and confusion has dominated our society for years. It's as if we've become unglued from anything – truth or reality – that has formerly held us together.“Driven by the fear of the moment, LTM is the story of a parent and part-time teacher who sits down to write a birthday card for his eighteen-year-old son and is at a loss for words for what is happening to society. So he drops everything, moves to an island, and visits a place that he hasn't been to for years: the local library. What he finds there is truly astonishing. Written for young adults and teenagers, LTM explains the truth in a way that kids can rely on to have less frustration and worry about this crazy world we live in. It provides real reasons for optimism for a brighter future and coping mechanisms, tools, and strategies to enable a future generation to end terrible disagreement and hate forever.” -Glenn Cort, Letters To Mikey“Humans are like flowers or potted plants. We need proper soil, water, and sunshine to grow and flourish. Let's start a movement to get along.”  -Getting Along AcademyMORE INFORMATION:Meet Mr. Glenn Cort – President. Glenn grew up in Weston, MA, and is the youngest of five children. A graduate of Weston High School (86) and Ithaca College (90- BA Sociology), he earned his JD at BU Law School (1990). Glenn was a prosecuting attorney, a civil litigator, and a criminal defender. He also served briefly in the civil rights division of the Massachusetts Attorney General's office. He entered his father's business enterprises in the late 1990s and spent 30 years helping to change and grow the cultures within these organizations by focusing on human relations. While achieving success by many standards, his definition of success over the years has changed dramatically. In 2020, while pursuing a promise to a friend in Boston City politics, he found himself doing some teaching for a nonprofit in partnership with the Boston City schools. The experience opened his eyes further to the problems and needs of our society, as expressed by his students, and set him on a new course.He left his business career and went in search of truth and peace. He completed his first book, Letters To Mikey, which is a message of hope and optimism for young adults in 2023. He is the founder of gettingalong.com and Getting Along Academy Inc., a 501 (c)(3) charity registered Oct 2023, whose purpose is to build resiliency and unlock the full potential in our youth so they may someday end terrible disagreement and hate forever. Glenn has three children, Katelin, John, and Mikey, and resides with his wife, Brooke, and their dog Gracie, in Weston.https://www.gettingalong.com“Be Inspired! Inspire Others! Inspire Before We Expire!” -Inspired Living Radio Podcasts#GlennCort #InspiredLiving #MarcLainhart #TheIntuitiveProspectorVisit the Inspired Living show page https://omtimes.com/iom/shows/inspired-living-radio/Connect with Marc Lainhart at http://www.marclainhart.com/Subscribe to our Newsletter https://omtimes.com/subscribe-omtimes-magazineConnect with OMTimes on Facebook https://www.facebook.com/Omtimes.Magazine/ and OMTimes Radio https://www.facebook.com/ConsciousRadiowebtv.OMTimes/Twitter: https://twitter.com/OmTimes/Instagram: https://www.instagram.com/omtimes/Linkedin: https://www.linkedin.com/company/2798417/Pinterest: https://www.pinterest.com/omtimes/

Host Victoria Guido welcomes Wendell Adams, CEO of PrimeLab.io, as he talks about his lifelong passion for technology and entrepreneurship. Wendell shares his experiences, from hacking electronics as a child to studying various fields in college and eventually starting his own business. He emphasizes the importance of understanding market needs and leveraging language to make technology accessible. Wendell's drive to improve encryption and data security led to the formation of PrimeLab; a company focused on making encryption functional and accessible without compromising performance. Wendell discusses PrimeLab's strategic direction and market fit. He outlines the challenges and opportunities in the entertainment industry, emphasizing the need for innovative solutions that respect user control and privacy. Wendell also shares insights into how PrimeLab's technology can democratize data access and enhance business processes. The episode concludes with a reflection on the future of AI and encryption technologies and Wendell's advice for aspiring entrepreneurs to think critically and creatively about their ventures. PrimeLab.io (https://primelab.io/) Follow PrimeLab.io on LinkedIn (https://www.linkedin.com/company/primelab-io/), or X (https://x.com/PrimeLab4). Follow Wendell Adams on LinkedIn (https://www.linkedin.com/in/wendell-a-83317895/). Follow thoughtbot on X (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Transcript:  AD: We're excited to announce a new workshop series for helping you get that startup idea you have out of your head and into the world. It's called Vision to Value. Over a series of 90-minute working sessions, you'll work with a thoughtbot product strategist and a handful of other founders to start testing your idea in the market and make a plan for building an MVP. Join for all seven of the weekly sessions, or pick and choose the ones that address your biggest challenge right now. Learn more and sign up at tbot.io/visionvalue.  VICTORIA: This is the Giant Robots Smashing Into Other Giant Robots podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. And with us today is Wendell Adams, CEO at PrimeLab io. Wendell, thank you for joining us. WENDELL: Thanks for having me. So, question, actually, where'd you guys come up with the name? VICTORIA: You know, I have asked this before, and I think I remember the answer. I might have to go back to the 500th episode to get it, but I think it was just robots was already kind of a theme at thoughtbot. I mean, thoughtbot, obviously, has robot in the name. Joe might have the best answer. And we have our special co-host, Joe Ferris. Who better to answer? JOE: [chuckles] Yes, I'm not sure who better to answer, probably Chad. I don't remember the answer either, but happy to be here to speculate with the two of you. It comes from the blog. We named the blog Giant Robots Smashing Into Other Giant Robots and then used it for our podcast. But I don't remember where the blog name came from. WENDELL: It kind of reminds me of the Robot Wars thing, like, where they would have competitors driving around the robots and then smashing into each other, trying to flip them over and disable them. JOE: That was excellent. I also watched that. WENDELL: [laughs] VICTORIA: Yeah, it's a pretty great name. I really enjoy being a host. And, you know, I go out to local San Diego events and meet people and introduce myself as a co-host of Giant Robots Smashing Into Other Giant Robots. It's usually pretty funny [laughter], which is where I met you, Wendell; we met at a San Diego CTO Lunches, which was super fun. WENDELL: Yeah, I always enjoy any type of tech conversation or anything else. I thought that was a lot of fun to sit down and just talk with people and talk about what they're working on. VICTORIA: I love that, yeah. And before we dive into the tech and get to hear more about PrimeLab, I just want to start a little more socially question. What did you do last weekend, Wendell? WENDELL: It was my father-in-law's birthday party at Legoland. We took my daughters my mother-in-law, and we all went to Legoland. It was a lot of fun. Although, honestly, I prefer the San Diego Zoo over Legoland, so... VICTORIA: Can you please describe what Legoland is to people who may not know? WENDELL: Okay. Legoland is based in Carlsbad, and it's really ideal for, like, four to nine-year-olds. And they have, like, miniatures of all the different cities. Actually, the SF miniature that they have is crazy detailed with Chinatown and everything else. They did an amazing job there. They actually...I think they just redid the San Diego part of it. But the miniatures are really cool, seeing all this stuff. They have different rides performers, but it's definitely, like, one of those things that it's more for kids to go and kind of experience. If you're an adult, you're going to love a lot of the processes that go into place, like how they built things, but mostly, yeah, it's very much kid rides and stuff like that. VICTORIA: I imagined it to be, like, life-size Lego buildings, but maybe I'm...that's very interesting all those other things you could do there. WENDELL: Well, like, they have the One World Trade Center, and I think it's, like, 25 feet tall. It is, like, the replica of it. It's kind of interesting, too, because not all the Legos that they build, they're huge, are solid Legos. So, it's like, they'll do where it's like, on the outside, they'll do a base, and then they'll build it. There's a replica of a Lamborghini. That one's life-size. But it's heavy. It's, like, 2,000 pounds, something like that. VICTORIA: Is that as much as a regular Lamborghini weighs, too, 2,000 pounds? It can't be that far up. WENDELL: I don't know. No, I don't think it...no, it couldn't be. VICTORIA: I have no idea how much cars [laughs] weigh. What about you, Joe? Did you do anything fun this weekend? JOE: Not a lot. It was supposed to be my son's first soccer game ever, but it rained here in Boston, so they postponed it. Sunday he went to my parents' house for a grandma day, and so I did nothing. I ate cookies. WENDELL: [laughs] VICTORIA: Wait, what kind of cookies were they, though? JOE: They were chocolate chip cookies. VICTORIA: That's so good. JOE: They were good. They were brown butter chocolate chip cookies, I should say. VICTORIA: Were they homemade, or did you get them somewhere? JOE: They were. We made them in this home. VICTORIA: Oh, that's the best. Yeah, love that. I got some fancy cookies that someone else made, and they were also [laughs] very good. And then, yeah, I've just been having cookies pretty much every day. So, that's been my time. WENDELL: My mother-in-law recently made me peanut butter cookies, and those are my favorite kind of homemade cookies. VICTORIA: Okay. Noted. You'll get a post-podcast gift of peanut butter cookies [laughter]. I love that. It's so great to hear a little bit more about each of you as, like, in a personal way before we dive into AI. And tell me a little bit more about your background and what led you to PrimeLab. WENDELL: I've always kind of, like, been a hacker, so to speak, just from a technical standpoint. My one grandfather was an engineer. He worked for GM designing, like, assembly arms and stuff like that. And then my other grandfather was a master electrician. So, I've always been the person that, like, just worked on things, got stuff together. You know, there's a lot of stories. Like, there's the story about when I broke my grandmother's workbench, rocking bench out front, and it was all aluminum. I remember telling my grandfather, and he's like, "Oh, what are you going to do?" And I was like, "Buy a new one?" He's like, "You got money?" I said, "No." And he said, "Well, you better figure how to make it then." So, ironically, it's half aluminum, half wood. We took wood, sanded it down, and stuff. So, it's just like I've always been an entrepreneur. I've always been interested in this kind of stuff. I used to hack VCRs, and PlayStations, and all kinds of stuff. I always liked parts and components and rewiring things. And as I got older, I also really liked math and all those things. And I wanted to understand more about how the world works, so to speak, like why it works the way it does, not just from a technology standpoint. But why do people think the way that they do? Why do things behave the certain way they do? So, initially, I started going to college. I thought I might be a math professor, and then decided to get degrees in business, economics, finance, marketing, consumer product goods, and comparative religions. So, while I was in college, I started working on, like, hacking, different video games, writing JavaScript, writing Java, all kinds of stuff. And then, eventually, even writing mobile applications early on, and then just analyzing because I always liked to build phones, too. I would take apart phones. And I really was curious about, like, how to make things faster, more efficient, and better. So, now to bring it down, like, how to make things accessible, where it benefits some of the smallest people and make it where it's a greater opportunity for someone to come out ahead of something. Like, one thing that I learned from my marketing degree is language matters. So, it's like, all the marketing it's not anything special. It's just they intentionally create language barriers that cause people not to feel as accessible with it. And then, like, you hire a consultant or something to just basically teach you about those language barriers. And I think every industry has, like, SAT, or LTM, or something like these abbreviations that mean a lot of different things. And it causes bottlenecks if you don't speak the language. So, understanding the language but also learning about how was very helpful from a standpoint on the marketing side. And I always try to figure out how do I make this accessible to people who don't understand that language? VICTORIA: And what was the turning point where you decided to start PrimeLab, and what made you realize there was a company there? WENDELL: It was a project I've been working on since at least 2011, honestly. And just as a heads up, PrimeLab as a whole works with encrypted data for AI models and to speed that up and everything else. So, early on, I was very obsessed with how advertising works through, like, stealing user data, which stealing is different, here or there, the sense of privacy, the sense of, like, how things could run, and the sense of messaging. And initially, a lot of it was using encryption as an overlay in, like, the pixel application space, which is always a way to hack or get into it. And it slows everything down. So, I had always been working on trying to figure out how do you speed up and embed security so it's actually functional? And it took a while to figure out, like, give encryption functionality, like, make the encryption something that you could actually execute on. And, actually, one of the things that really helped is the blockchain space there's a lot of, like, hash trees and everything else, like, where people are innovating in that. That's really helped innovate encryption as a whole from understanding, like, Merkle trees, hash graphs, and everything else to make it more functional and faster. Because people are trying to speed up distributed networks and stuff, but the actual technology that they built, like Hedera is...What Hedera has done with Hashgraphs and everything else—really amazing. I'm glad that they open-source stuff like that. But it's also really interesting just to see how things push forward. So, like, when I first started, like, RAM was, like, 256 in a phone. So now, you know, you can get multiple gigabytes, which makes it a lot more capable to do encryption, decryption, and work more in the functional space of things. The bigger problem that you have on the data part is how an application communicates because there's so many levels of abstraction. Like, you have the Swift language that communicates into something else that then communicates into something else. Like, right now, we're talking on a system that's recording us over the internet through a browser, all those different things. And it's an approximation of what the data is and what we sound like. It's not an absolute. So, I was really interested in when you have absolutes, and you can verify those absolutes, what can you do with that? A few years ago, I felt like we got to a point where we could actually execute those things and actually deliver on that. So, therefore, I decided to start PrimeLab with my co-founder, who I really liked and enjoyed. And we've had a lot of really great advisors, where people have helped us continuously. Over, you know, the decade-plus of working on this, I've gotten a lot of input from some of the smartest people I know, from people who have designed full server racks for AWS to literally a good friend of mine that built cloud storage. His name's on the patent for it. So, that kind of stuff has really helped me understand and build this where it can communicate the lowest possible level. VICTORIA: Yeah, and to just recap and reflect that back a little bit, it sounds like you were always interested in how to make encryption faster and lighter weight, and so you could build it in and build in security without impacting the performance of the applications. And then meeting your co-founder and the advancement of technology, this time a couple of years ago, led you to think, okay, let's really go forward with this. WENDELL: Kind of rephrasing, I was always interested in control. So, like, one of the things that really interested me...so, I started a video game store buying and selling, like, video games and trading cards and stuff when I was roughly ten and a half or so, and then sold it roughly when I was 17, which is how I paid for quite a bit of college and likewise. But the things that really interested me about that is it went out of business three to four months afterwards because the person who basically bought the rest of it bought too much of Madden. And Madden, at this time, the margins were, like, a buck, as you go all the way through, and the price drops immensely. So, I wanted to really understand why that happened. What you kind of get to is, like, they didn't have control over it, just, like, the bulk orders methodology, where they would buy the whole entire supply. And what I've seen over the years, be it Apple, Google, or anything else, is, like, that was...in that example, that's a game publisher, EA, flexing control, right? But more and more companies are flexing control on a platform like now with Facebook or advertising. If you think about what Google used to do, Google used to provide a lot more insights when you had your own website. You used to know your own keywords. You used to know a lot of things about your users who come through. More and more, Facebook and Google try to stop that. And they're really the ones determining your own user personas for you. So, you become dependent upon them. So, I wanted to say, okay, from a business standpoint, how do you implement control and privacy where it's permissioned? And encryption was one of the answers that I came to. But then it was, how do you make encryption functional then to actually execute on control? Because unless the system is secure, faster, cheaper, better, it's never going to get adopted. VICTORIA: That makes sense. Thank you for sharing that. And you mentioned your founder. I'm curious, how does your founder kind of complete what you needed to be able to get the business up and running and off the ground? WENDELL: He has a robotics degree, so he had launched several products that had failed. And he wanted to learn marketing after they had failed. So, we have a similar like mindset about, like, control and functionality for how something may or may not work, and that allowed us to communicate well. So, like, I have a lot of friends and stuff. But the thing that allows me and my co-founder to work really well is that we come from things in different angles, but we have the same language that we speak. So, like, that's what I was talking about before, like, LTMs or otherwise, like, language really matters from how you can move something forward when you're talking in different industries. And just with him, there's a lot of stuff that you don't have to say. You can skip a lot of filler and then go straight to what something might be or a solution or something. Or if we have to jump to a tech abbreviation, to a market abbreviation, to a financial abbreviation, he's one that can follow along with me really quickly and then teach me a lot of things about operational execution because he's great at operations. I am not great at operations. VICTORIA: That's really interesting. And I think you're making a good point about, like, a shared language. And it reminds me of any product that you're building; if you want to sell it to a company and you want them to adopt it, you have to consider their language, their belief system, how to influence change within the organization. And I wonder if you could talk a little bit more about that with your experience at PrimeLab. WENDELL: I'll give you an example of a market that we decided to go after. So, instead of just working at, like, healthcare markets where you have, like, GDPR...for people who don't know GDPR or HIPAA, HIPAA is for the United States. GDPR is the EU privacy requirements, right? For the right to be forgotten and everything else. So, these are vernaculars that you need to know. But the requirements of each one is very different, and these are markets that we've learned being in tech and likewise. But we wanted to change it up. So, I wanted to go after the entertainment market as a whole, namely because after meeting with some select people, including a stunt man, this is going back a few years ago, I started to realize that the entertainment market was getting kind of screwed over quite a bit from a tech standpoint. Basically, tech goes through this thing where...someone wrote a great article about this. It's called Enshittification. But, basically, where they go they try to take over a whole entire market, where first they're providing great value to your users. And then, gradually, you enshittify your product to provide greater value to your investors. And then, gradually, you suck all of the value out of the room for both. Right now, if you look at Sora, what OpenAI is trying to do in entertainment, [inaudible 16:08], you kind of can see that happening. They're going, "Hey, here's a great value for it." And they're really pushing that stuff off. But the thing about the entertainment market that I think is really interesting is it's basically thousands and thousands of small businesses that are constantly going, it's so chaotic. It's not like tech and startups. There's a lot of overlay of, like, you know, people are looking for that top quartile film that's going to make the money back, and then long-term royalties that they can earn off of it, right? Whereas in tech, they're looking for those huge markups as well. So, I was really fascinated by it, but it was something that, like, we had to learn. Like it was something that I didn't know otherwise. So, it was literally...how we learned it was we took our tech stuff, and we would walk SAG-AFTRA strike lines. We would walk strike lines. We would go to entertainment events, and we would demo what we were trying to do, and we would show them. And then, oftentimes, we got really negative feedback right off the bat. And we're like, "No, no, no, so, you know, this is for you. Like, you could control. Like, this is going to help you." And then, after doing that enough times, talking to the SAG-AFTRA lawyers, and everything else from there, and all of the creatives, the creatives were coming to us and giving us ideas how to explain it because there's, like, three different formats. You have tech, business, creatives in the entertainment industry. And it's like, we could talk to the tech people. We could talk to the business people. But you really need the creatives. And, like, the wording of each one, like, each group of those is vastly different. So, having the creatives be able to explain something in 90 seconds that used to take me a couple of hours to dive into became really valuable. And also, in tech, like, you have this thing where it's feature creep, where you're like, oh, I'll add this, this, and this. Just to hear very coldly and bluntly, like, "If it does X, I'm interested. If it does Y, I'm not interested." That was very interesting or refreshing of, like, "Yes, you're going to solve these problems. But I need sign-off for everything in there." And it's kind of weird in the entertainment part, too. Like, you want to solve a problem without being a competitor to another vendor because you need so many different sign-offs. And if you're a competitor to another vendor, to a certain point, maybe that's going to cause a hiccup with sign-offs because there's 18 different cooks in the kitchen, so to speak, just so many different people that need to say, "Yes," all the way through with it. VICTORIA: Thank you. Yeah, that's really interesting. I'm curious, Joe, if you have an answer for that question as well, like, any experiences about navigating change and putting new products in place at different clients, different industries? JOE: I don't think I've had the same kind of resistance. Like, I haven't been on the front lines the way you described, like, literally in the, you know, going and talking to people on strike. I think I have more indirect experience talking to the people who are doing that. And certainly, like, I think there's generally a resistance to bringing in new technology without eliminating the old way of doing things if that makes sense. Like, people want the old ways of backup. Like they want to be able to go back to paper, which I empathize with. But that's frequently been a challenge for the people I've worked with is that they don't fully embrace the new process, which significantly reduces the value they would get from using it. I don't know if that's something you've encountered with PrimeLab. WENDELL: So, we were building another company of mine many, many, many years ago. I was building a website for this lumber company, and I remember showing up, and the owner was there. But it was his son that had commissioned it, and the owner didn't know about the website. And I was like, "Oh yeah, we'll get the website going." He goes, "Oh, this web thing it's a fad. It's never going to happen. You don't need websites. It's faxes." That's how everything would happen. But secretly, what was happening is they would get an order. They would print it off, and then they would fax it. So [laughs], I always thought that was crazy. VICTORIA: I mean, one of my local bars still just writes the order on a ticket and sends it on a clothesline down to the grill. So [laughs], sometimes old is good. But I think that you know, I want to hear more about where you found or how you found a product-market fit for PrimeLab and where that AI really becomes useful and ethical in the industry you're focusing on WENDELL: How I look at PMF (product-market fit)...and if you hear me just say PMF, that's what that means. So, how I look at PMF is I'm a little different in the fact that when I look at a product, or a technology, I don't just look at, like, so you have foundational tech. Like, okay, this is encryption. This is control, right? Now, where's the market that has the biggest problems with it? So, I like to go out and actually talk to those people. Because, like, when you're implementing tech, or you're implementing the product itself, it's different. So, you're like, you have the underlying infrastructure, but whether that's a button or a simple API that you need to build so it works different to hit that PMF...are you familiar with the term build a better mousetrap? VICTORIA: I don't think so. JOE: I'm familiar, but I'd still love to hear you describe it. WENDELL: So, in business school, and likewise, they will tell you "If you build a better mousetrap, people will come, and they will buy your product." So, like, it's a common thing where they're like, "Build a better mousetrap. People will come. They'll be there." And the thing that you learn with consumer product goods and marketing, though, is they actually built a better mousetrap, and it failed. And the reason why it failed is you had a mousetrap that was roughly a cent versus another mousetrap that was three cents. And I think this is in the '60s or so. The other mousetrap was reusable, so it executed a lot better, and everything else is more humane. But what they didn't understand is that it was wives most of the time that would have to actually handle this. And they didn't want the mouse alive, and they didn't want to reuse the trap. They wanted them to actually be disposed of right away. So, by not understanding the market, even though they built a better mousetrap, they'd missed the point. Like, the main problem to solve wasn't killing the mouse or having it be reusable. The main problem to solve was, like, getting rid of the mouse. So like, if you have a solution for getting rid of the mouse, the next thing is your execution for it. Like, does it hit the actual market, which is the fit aspect? Like, every product is a little bit different where you look at, like, how does this fit in? So, in this case, fit is very important for, like, disposing of the mouse, which is why you also have, like, you know, mouse poisons are popular, even though they're terrible because they die somewhere and, hopefully, you don't see them. And it's like sight unseen, right? Now, I'm glad, like, that's changing and stuff. But it's understanding even if you have a solution to something, you need to understand what your market wants out of your solution, and it's not going to be an abstract. It's going to be an emotional, like, execution-based process. So, you kind of have to go, all right, this is my market. This is kind of my fit. But the actual product I'm building is going to change to make sure it works all the way through with this. I was advising a startup many, many years ago, and they were building this CRM software on Android for South America. And I think they were building it for Android 6 or 7 at the time. But the market that they were targeting, they all ran Android 4.1. So, they spent a little over a million dollars building for the wrong version of Android that wouldn't even work on that version of the system. Like, it was one of those things where they were required to build it for that. But they didn't understand the actual market, and they didn't spend enough time researching it. So, it's like you get the Bay Area groupthink. If they had actually spent the time to analyze that market and go, "Oh, they run, you know, an inexpensive phone. It's 4.1. It's low RAM," now you can design a product. If you want it to be a CRM, you're going to, like, chunk up the system more. Like, you're going to change all that instead of just wasting a million dollars building something that now you basically have to start over again from scratch. VICTORIA: That seems like he got off cheap, too. People make way bigger mistakes that cost way more money [laughs] because they [inaudible 24:13] WENDELL: Well, that wasn't me. That was an investor that -- VICTORIA: Oh no. I mean, yeah, not just them. Yeah. WENDELL: He's like, "What would you do?" And I was like, "You should sell this company or sell your stake ASAP because that's a really bad sign." JOE: I have found that the answer nobody ever wants when you're doing product validation or testing product fit is, "You should not build this product." The idea that the software just shouldn't be written is universally unpopular. WENDELL: Yes [laughs]. That's, you know, that's part of the reason why it took me so long to do PrimeLab is because, like, it took a long enough for the software to actually need to be written, if that makes sense. Mid-Roll Ad: When starting a new project, we understand that you want to make the right choices in technology, features, and investment but that you don't have all year to do extended research. In just a few weeks, thoughtbot's Discovery Sprints deliver a user-centered product journey, a clickable prototype or Proof of Concept, and key market insights from focused user research. We'll help you to identify the primary user flow, decide which framework should be used to bring it to life, and set a firm estimate on future development efforts. Maximize impact and minimize risk with a validated roadmap for your new product. Get started at: tbot.io/sprint. VICTORIA: What does success look like now versus six months or even five years from now? WENDELL: I take a different approach to this because I have so many friends that have sold their businesses. They raise and everything else. I look at success as instead of an exit or another large thing, like, literally, we turned down a billion-dollar term sheet offer. I didn't like the terms. I didn't like what it would do from the control standpoint of the technology. What I care about is go-to-market and, like, adoption and actually getting the tech out there in a way that has market penetration but, like, that adds value to every person's life. VICTORIA: Yeah, maybe say more about that. Like how do you see AI and this technology you have with PrimeLab benefiting people and benefiting the industry that you're working within? WENDELL: So, the current AI models are kind of weird. They're basically just filter systems because they communicate in pixel space and then go down to functional space. It's the GPU. GPUs are actually terrible to use for AI. This is why you have dedicated AI chips getting built. Hopefully, the RISC-V chipset does actually do something because that's a chipset that I think it's an open-source chipset, but you can actually especially build models on it. So, I think that we're going to see a lot more in the RISC-V chipset where it's like, this is just for one particular image, or this is just for explosions, or this is just for touching up all these different points in the actual individual, like, microcontroller module data that ends up compiling to move forward with it. But the AI models now it's like you took the internet, and you're trying to ask it a probability question, what I was talking about before, where it's not an absolute. So, it's like, if I want to do an OCR system or anything, I take an image. It's got to say, "This is..." letters; it's going to recognize that. So, there's, like, multiple models and algorithms that need to run on that whole entire process. You even have artificial data, but all of that information is an approximation. It's not an absolute. If you want absolute, you can get a lot of absolute data from the actual hardware devices themselves. You know, take a Sony camera. You could see the lighting. You could see the raw information, everything else there. But because of how expensive it is, people compress it. Like, take YouTube where it's compressed, and now you're training off of it. You're trying to compress it more and then run an algorithm so that you don't have to actually process those large, raw files all the way through. That's just a bad infrastructure for compute. You're trying to reduce, but you're also trying to utilize what you own for rights, same thing, contextual, or anything else there. There's no value in a model. Once a model is out there, it's just weights moving it back and forth. The value is in the data and the applications. So, the actual data itself that's going in. So, if you have just lava scenes, like, having all that data for lava, and I want to put it in a background, now I can do that, but more importantly, it's not about just adding it into the background. The thing that is often missed is contextually the output. So, like, say I want to do a financial report. Rather than having the data of all financial reports out there, what I want as the input is my financial data. And what I want as, like, a fine-tuning output is an example of the reports that were generated. And I don't want those reports as the input to inform the output because that's where you get a hallucination. Maybe it starts grabbing financial data from someone else. And I also think we're in store for a lot more hacks because with not just poisoning data, which we do in the functional space, if someone tries to access it. But, I mean, literally, there's the story...I think the guy was in Hong Kong, where they faked his board all the way through with it. Because you have agents acting and executing on people's behalf, you're going to have systems where people go onto the hardware and start generating fake financial numbers. And now that's going to get reported. Or you pay an invoice that you weren't supposed to pay because someone manipulated your AI agent. And a lot of the stuff that we're seeing now from Microsoft and everything else that's not really where the models will go. It's great to do it, but it's kind of like we're in the dial-up stage of AI. Like [chuckles], dial-up has its use cases and stuff, but it's nowhere near what the tech will look like in the future, and it's nowhere near how it will function. And one of the big pushbacks that you see, like, from Google, from all these different places, like, they want your attention. But at the end of the day, Google's an ad company. Facebook's an ad company. It's not in their best interest to have hyper-localized data that you control for your models and likewise. They want it in the cloud. They want it used there, where they can control that data, and they can monetize and advertise for you. But at the same time, like AI models work the best, and AI applications work the best when the data set is limited, so it can't hallucinate, and when the outputs are actually controlled to what it should be from an informed standpoint. So, where we're at this is just in the beginning stages of stuff. VICTORIA: That's really interesting. Thank you so much for sharing. I think if you could go back in time when you first started PrimeLab and give yourself some advice, what would you say? WENDELL: You know, I lived through the Great Recession. The Great Recession informed me a lot more. The things that I didn't understand this time...like the Great Recession, was market contributors doing stuff that impacted everyone with their spend and their adoption, and how those things were. But the Fed raising interest rates, which is, you know, Silicon Valley Bank failed and stuff like that, that dynamic of those startups and, like, how much startups power everything, like, I would have advised myself to pay more attention to the Fed and those market dynamics going forward. Because what changed is it's not just the Silicon Valley Bank failed it, you know, Rippling went down, for instance, which would pay therapists in Florida and all kinds of stuff. Like, it broke so many different things. It caused bottlenecks in business that we're still going through. Like, everyone's like, "Oh, we're getting back to normal." Really not. It's still, like, delayed all the way through it. The AI aspect is really getting back to normal, where people are really pushing AI. But if you look at SaaS and other industries, it really, really slowed down. And the reason why that matters is, like, in my field, production and timelines matter. So, when you have that plus, you know, the entertainment strike and everything else, you have things where the actual production of things starts slowing down immensely. Whereas AI is one of the few things that you still have innovations because that never really slowed down, same thing with the models. But all the rest of the industries and stuff have really slowed down. And understanding what that means from an operational execution standpoint...it's a good thing I have my co-founder [inaudible 32:24]. It matters quite a bit because it means your team sizes have to change, how you handle certain clients has to change. Because once those companies start downsizing or laying off people for whatever reason like, that's going to change how you're working with them, and their requirements are going to change as well. VICTORIA: And what do you see on the horizon as a challenge or a big hurdle that you face as a company or as an industry? WENDELL: You know, the entertainment market's really interesting from all the different sign-offs. The challenge is more execution of timeline. So, like, if you're doing something with, like, Nvidia and the healthcare thing, it could take years. If you're doing something in, like, the IoT space, you know, also years. If you do something in the entertainment space, it could take weeks to months, except the large studios. The larger studios, it could take a couple of years as well. But going to market, I think, is a very big challenge, not just for us but the whole entire industry. I mean, there's a reason why Sam Altman came down to LA to meet with studios, to try and get stuff moving forward. And I think one of the things that he's forgetting is like, you think of Netflix. Netflix is streaming. In order for that to work, they needed Roku, and they needed Kevin Spacey because [chuckles]...it's crazy to say that, but House of Cards is kind of what made it, right? And Hollywood was mostly boxing them out quite a bit. Same thing with Blockbuster otherwise. They had to drop a hundred million dollars, a large enough bankable star at the time that would really push something forward. And they had to basically really push Roku out there so that they had PMF across the board. What that means, though, is, like, Netflix is paying for content like crazy, right? So, this is kind of enshittification in a process. So, they're paying for content like crazy. So, now Hollywood's making money. They like it. At the studios, they don't love it when their stuff's going there because maybe it's less money, but now they start cutting the seasons short. They start cutting...it's a lot more algorithmic-driven. You have the ad systems that sort of come out. So, now, like, Netflix is not just doing ads where the customer experience is getting worse, but now, also, the business experience for those partners selling stuff is also getting worse, and all that value is getting driven to Netflix. Like, that's the tech system and Hollywood's learned that. But, like, when you're looking at the next adoption, like, they're hesitant for that. Just like a lot of stuff with AI, they're hesitant because they're thinking about all the power and control that they gave up. But you have to show how they're going to make money. You can't just cut costs, right? If you can't show how they're going to make money, you're not going to get adopted. That's kind of what I like there because so much of tech is about saving costs and being more efficient. In the entertainment industry, it's not just those two things. It's how can I make more money? And it's going to, like, ooh, you can monetize your content through training samples and stuff like that. So, our model goes exactly against what the large tech companies have where they want to take content, train on it, like the search engine does, suck the value off Sam Altman's Sora. Ours goes, all right, this is your content. Only you own this. You can take your own content, train it, and then perform this operation on it that is more efficient likewise. And if you choose to monetize it in any way, shape, or form, we can just take the functional space, not all the images and no one will ever see it, and take that functional space for training so that you can actually monetize from that as well. VICTORIA: I love that. Super interesting. Thank you so much for sharing. And do you have any questions for me or for Joe? WENDELL: I've noticed a lot of differences on, like, applications and how systems are built. So, I'm kind of curious about you guys' standpoint about applications, you know, the Apple Vision Pro. Facebook just said they'd start licensing out their AI system, or Meta, whatever. So, you have the comparisons to Android versus iOS that's happening, stuff like that. So, I'm really curious about, like, you guys' thoughts on the Vision Pro and that ecosystem. JOE: Well, I can't speak for all of thoughtbot, but I can say that, to me, it was interesting to see that get released. And it's been interesting to see how aggressively Meta and Apple have been pursuing the various VR markets. Like it reminds me of when television companies and studios worked really hard to get 3D movies to be a thing. WENDELL: [laughs]. JOE: Because I think they just ran out of things that people are asking for. Like, people were interested in getting better resolutions up to a point. Like, they wanted better packaging. But it got to a point where it was like, they didn't want to give anybody anything they were asking for. So, they were like, what if it's in 3D? And, like, for years, it seemed like Apple was really on top of seeing what people really wanted, and being able to present a very well-prepared version of that product before other companies were able to. And, personally, it's not what I saw with the Apple Vision Pro. Like, it wasn't the obvious missing space that was there when the iPhone or the iPad showed up. WENDELL: Yeah, I always go back to, like, the "Why?" question. You know, previously when...even just before we had talked, I was talking about comparative religions, and why that's so valuable is because it really teaches you...again, I've had this conversation before, but the comparative religions, if you think about religion as a tech company, they're always trying to solve why. Like, why did the sun come up? Why did this happen, right? And you always have to do that. So, apply that to technology, Google or Apple, why does this product exist? And when you get to, like, it just existed to make money, I think that's really the 3D thing. Whereas, like, why did the iPhone exist? It existed to solve this problem of being portable on the go and getting information in the way that we communicated, too. VICTORIA: Yeah. I think the Apple Vision Pro appeals to a very specific market segment and that that segment is not me [laughter]. I, actually, during COVID...after...it was, like...yeah, we're still in COVID. But during the pandemic, I moved from DC to California. And to connect with some old friends, I bought a VR headset and decided to go to virtual coffee with them. And it just makes me nauseous. And it actually affects...quite a lot of women get nauseous in VR. For some people, the look—the capability is really exciting. They have the extra money to spend on gadgets, and that's what they like. And it's very appealing, and the, like potential, is really interesting. I just find it for myself. Personally, I'm more drawn to tech that's not maybe cutting edge but solves problems for actual people. And kind of why I'm interested in PrimeLab, what you were mentioning is just how artists can use this technology to protect their creative work. To give that power back to people and that control over their content, I think, is really interesting rather than...I'm not really sure what I would do with the Apple Vision Pro [laughs]. Like, the early ones, I mean, it's cool. It's fun. I definitely enjoy it. Like, I sometimes like to learn about it, but it's not my passionate genre of tech that I normally go for. WENDELL: Going back to what you just said about, like, control, like, part of the thing is because of the hash IDs that we put into place, like, you don't need analytics. You don't need cookies or anything else, like the content holder. Basically, like, if you have a TV set or something and you want to stream content to it, you can actually see that information directly yourself. So, it takes the person generating it and the person viewing it. It forms...we call them function access keys. It forms a one-to-one relationship, basically, where you guys know if you want to know what you want to know, but then you choose to give access to the platform if you want to, which changes the dynamic of control quite a bit. And it's interesting because when you look at platforms like the Apple Vision Pro, and you look at Apple's whole entire system as a whole, just trying to lock in people, I think it's interesting because something like what I just described, Apple can't really stop. It's how compute works. So, if people want to use it, there's nothing they could do to stop it from being used. So, I'm really interested in the product stuff and just more about, like, how...and I'm curious what you guys think on this, too. Especially as you see phones and processors and everything else, I'm really interested in, like, how these things come about, like, how things are actually built and developed and the why for that, like, in the everyday use. So, like, the Apple Watch it started off as a fashion thing, which looked like a money grab, and then the why was, oh yeah, fitness. So, just curious if you guys have seen any other products out there that you're like, oh, this really resonates with me and the why. JOE: Yeah, I'm not really a gadget person, but I think the idea of taking some of the capabilities that we've gotten with the internet and with phones and making them hands-free was interesting. And that, to me, was what I think started pushing the development of products like the Apple Watch or Google Glass. Like, I think that hands-free capability, the trade-off became rewarding in the fitness field, but I think it's more generically applicable. I think that technology it's too obtrusive in other scenarios and too bad at its job to do some of the things it could do. And people got creeped out by Google Glass. But it doesn't really seem like the Vision Pro fits in there. Something being successful hands-free means it becomes less obtrusive, whereas the Vision Pro is like you become a cyborg. VICTORIA: Do you have anything else you would like to promote? WENDELL: I wouldn't say necessarily promote as much as like people with ideas or aspirations, like, I think it's important that you think counter to what everyone else is doing. There's that line of, like, when everyone else is running in one direction, run the other. And it's like, if you have a business or startup idea, really think about your market. Like, think about why you're doing what you're doing, and don't be afraid to just go out there and talk to people. You will get value no matter who you talk to. So, like, I'm a hugely tech-based person. My wife is a therapist, and I learn from her everyday things about emotional intelligence and all kinds of things that I would be an idiot otherwise. But also, learn, like, you can always learn something from someone. Like, take the time to listen to them. Take the time to actually, like, try and figure out what's one thing I can learn from someone, even if, you know, I learn stuff from my daughters even. Like, don't put things in boxes. Like, try to think outside of like, how can I ask a question to learn? VICTORIA: I love that advice. That's great. WENDELL: Have you guys used Suno before? VICTORIA: That's music, right? Music AI. WENDELL: All right, I got to show you guys this. We're going to create you a quick theme song. Like, this is what I mean by, like, it's an interesting solution for why. VICTORIA: That does sound fun. I like the ones...like my friend's a doctor, and she uses AI to take her conversation she's having with patients and automatically fill out her notes. And it saves her, like, 20 hours of documentation every week. Like, I like that kind of app. I'm like, oh, that makes a lot of sense. WENDELL: What's a style of music that you guys really like? JOE: Swedish pop VICTORIA: Like ABBA [laughs]? I'm down for an ABBA Giant Robots theme song. Sounds great. WENDELL: I think you're going to like this. [Music Playing] VICTORIA: These are awesome. They're super fun. Thank you so much. You can subscribe to the show and find notes along with a complete transcript for this episode at giantrobots.fm. If you have questions or comments, you can email us at hosts@giantrobots.fm. And you can find me on X @victori_ousg. This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thanks for listening. See you next time.  AD: Did you know thoughtbot has a referral program? If you introduce us to someone looking for a design or development partner, we will compensate you if they decide to work with us. More info on our website at: tbot.io/referral. Or you can email us at: referrals@thoughtbot.com with any questions. Special Guest: Joe Ferris.

"You can't treat what you haven't diagnosed and you can't diagnose what you haven't assessed." - Chanel Dokun "You can't fix what you can't name." - Suzanne Stabile   Yeah, the two of them could talk for way longer than an hour! But, for today, let's meet Enneagram One, Chanel Dokun. She is a mother of two, life coach, speaker, and author of Life Starts Now. To find out more about Chanel and what she is doing in the world, visit chaneldokun.com.    SUPER PROMOS today Alabama, The Enneagram and Spiritual Practices with Suzanne and Rev. Joseph Stabile, September 6-7 CLICK HERE FOR MORE INFO AND TICKETS South Carolina, The Enneagram and Relationships with the Enneagram Godmother, October 4-5 CLICK HERE FOR MORE INFO AND TICKETS Texas and Online, 2024 Enneagram Bootcamp: Stress, Loss, and Relationships with Suzanne Stabile and LTM, August 1-3 CLICK HERE FOR MORE INFO AND TICKETS The 2025 Cohort Program The deadline to apply is August 20, 2024, so there is time, but don't miss out on this incredible opportunity to dive into solitary work that cannot be done alone in the greatest space with the greatest people. CLICK HERE to learn more about each cohort: the dates, expectations, and applications.   TODAY's INTRO: SNL (NBC: May 13, 2017) 30 Rock (NBC: S6, E8) VEEP (HBO: S7, E1)

What to expect POST Birth in the FIRST 48 hours postpartumIf you're a first time mom, then this episode is for YOU! Today's episode we're getting realistic and spilling the TEA on what immediate postpartum is like.Today's episode on the first 48 hours postpartum/ post birth: What can women expect physically and emotionally in postpartum?How does the hospital stay look different for moms who had vaginal births vs c-sections?What happens if baby fail a newborn test (APGAR or hearing test)?How do you see postpartum stays differ across hospitals?What things should we bring to the hospital to make my postpartum stay a better experience?What are  labor and postpartum hospital rooms like?What do you eat in the hospital?What are the pros and cons of letting visitors into the postpartum room?Any lasting tips or advice for women when it comes to your post delivery stay?AND MORE!-------------------------------------------------------------------------------------------------------------IMPORTANT LINKS:- Sign up for the Learning To Mom Newsletter HERE:- Fit Mama In 30: Prenatal Workout Program that I'm Doing: Click HERE                   Use code LEARNINGTOMOM for the BIGGEST discount they have!! ($20 off their annual plan)To order a Freeze Dried Breast Milk Shipping Kit or schedule a drop off visit BoobieJuice.  (Use code LTM for 15%)  Connect with BoobieJuice on their InstagramConnect with BoobieJuice on their Facebook- Get Jessica's Book: Once Baby's Here HERE- Connect with ME on Instagram HERE or at @learningtomom.podcastHow to connect with Jessica:- Her instagram is linked HERE-------------------------------------------------------------------------------------------------------------Are postpartum night sweats normal, are postpartum periods worse, can postpartum, depression last for years, can postpartum depression start at 4 months, can postpartum depression start at 3 months, what does labor feel like,  birth podcasts, how to prepare for birth, how to prepare for labor, how to prepare for an unmedicated birth, how to prepare for a natural birth,  what will birth feel like, natural birth experiences,   how to achieve a natural birth, natural birth tips, unmedicated birth tips, preparing for labor as a first time mom in postpartum, postpartum rage, postpartum psychosis,  when does postpartum bleeding stop,  The Postpartum 6 week appointment, Postpartum night sweats, Postpartum intrusive thoughts, Postpartum hormones, Postpartum bleeding (lochia), Postpartum sex, Postpartum hair loss, postpartum red flag,  Pregnancy relaxation techniques,  natural birth tips, newborn care, first time mom advice, birth podcasts, pregnancy podcast, postpartum podcast, best podcast on postpartum care, top podcast for first time moms, pregnant and scared, good podcasts for first time moms, baby sleep schedule, How to prepare for pregnancy, What is the best pregnancy podcast, That pregnancy

The highly anticipated second part of our conversation with Alison McCrary (enneagram 3) is here! The Reverend (Joseph Stabile) takes host duties in today's episode as he and Alison talk about their callings and their journey. Alison started Methodist and now is Catholic. Joe started Catholic and now is Methodist. Wow, the journey they've been on! Would the Reverend make a good butcher? Alison and the Black Panthers teaming up? Could Suzanne and Joe keep up with Alison for a day? Today's episode is light on enneagram, but so heavy on Journey, and we think that is a great thing, and hope you do too! Two links from the podcast that we hope you'll check out: Alison talks about her work with inmates on death row. If you would like to learn more and support that ministry, click here. And, if you want to learn more about Alison and all she is doing in the world, visit alisonmccrary.com   PLUG TIME! 1. Enneagram Bootcamp is August 1-3, and May is the final month to take advantage of the Early Bird price! If you are wanting to join a community growing around Stress, Loss, and Relationship, this is a weekend for you. CLICK HERE for all of the important information and registration. 2. Now is the time to apply for the 2025 LTM Cohort Program! The deadline for all applications is August 20th, but don't delay and forget. Next year will be the first year LTM hosts 6! Cohorts: Enneagram, Enneagram and Family Systems, De/Reconstruction, Enneagram and Contemplative Spirituality, Leading Change, and Enneagram for the Modern World. Click here or visit lifeinthetrinityministry.com/2025cohort for all of the important information and applications.   TODAY'S INTRO At Least It Was Here, The 88 Sister Act 2: Back in the Habit (Touchstone Pictures, 1993) Hitch (Columbia Pictures, 2005) Parks and Rec (S6: E10)  

In this conversation, Lindsay and Elizabeth discuss the importance of personal fulfillment and pursuing personal goals. They explore the idea that personal goals are often put on the back burner and discuss the challenges of prioritizing oneself. This episode is chalk full of ideas for setting boundaries, prioritizing and understanding yourself, digging into your resistance and overcoming fear.    In this episode LTM and Elizabeth will talk about the benefits of engaging in creative hobbies and the importance of enjoying the process rather than focusing on the outcome. Lindsay shares her experience of receiving insights and answers to her questions while engaging in creative activities. They encourage listeners to follow their personal desires and fill their social media feeds with content that inspires them. The conversation ends with Liz sharing her dream of hiking a substantial trail.   Elizabeth and LTM discuss their personal bucket lists, the importance of prioritizing personal fulfillment and talk about the power of habits along with the need to dig into the underlying reasons for certain habits. LTM discusses her goal of writing short, impactful books and her desire to go skydiving and backpacking through Europe with her children.   If you're not sure about what you want in your personal life or you want to know yourself better, this episode has a list of insightful questions that you can answer about your own life to help you establish some effort toward your own happiness.   Takeaways Personal fulfillment is essential and should be prioritized Engaging in creative hobbies can provide a sense of fulfillment and allow for self-expression Enjoying the process of creating is more important than focusing on the outcome Filling your social media feed with inspiring content can fuel your personal desires Taking time for self-discovery and pursuing personal goals is crucial for personal growth Prioritizing personal fulfillment is essential for a fulfilling life. Understanding the underlying reasons for certain habits can help in breaking them. Setting boundaries and making time for oneself is crucial. Having a bucket list can provide motivation and a sense of purpose. Learning a new language can be a fulfilling and enriching experience. Traveling and experiencing different cultures can be transformative. Writing short, impactful books can be a creative goal. Adventure activities like skydiving and backpacking can push one out of their comfort zone and lead to personal growth. Set personal goals and establish boundaries Spend time understanding oneself and what one wants to experience Do not rely on others for fulfillment Explore personal desires and interests Embrace self-discovery and personal growth Keywords: personal fulfillment, personal goals, creative hobbies, enjoying the process, self-discovery, social media, inspiration, hiking, bucket list, personal fulfillment, habits, national parks, language learning, Italy, writing, skydiving, backpacking, Europe, personal fulfillment, goals, boundaries, self-discovery, aspirations ----more---- LINKS: Lindsay's Instagram  Wake Up! Wake Up by Lindsay Teague Moreno The Artists Way by Julia Cameron Flow by Mihaly Csikszentmihalyi Atomic Habits by James Clear Tiny Habits by BJ Fogg The Power of Habit by Charles Duhigg Big Magic by Elizabeth Gilbert The War of Art by Steven Pressfield Getting the Love You Want by Harville Hendrix, Ph.D., and Helen LaKelly Hunt, Ph.D. ----more---- Lindsay Teague Moreno author + speaker + podcaster WEBSITE: www.lindsaytm.com INSTAGRAM: @lindsayteague FACEBOOK: @ltmauthor PODCAST: www.wakeupthepodcast.com PINTEREST: @lindsayteague

Welcome to Part 2 of what we envision to be a 9 part series throughout 2024 following 3 members of The LTM Enneagram Cohort features, enneagram 8, Alex Reegan!   Alex Reegan is the author of What Needs To Be Said, as well as an interfaith minister, speaker, and transformative spiritual coach who uses his intuitive wisdom to help guide people towards their own inner knowing. Born into an evangelical Christian family that prevented his true identity as a trans man from emerging, he spent years in depression, anxiety, and addiction trying to break free of the oppressive beliefs that bound him. His journey at last led him to sobriety, shamanism and then seminary, which helped him reclaim his faith and trust in the Divine. Through speaking engagements, workshops, one-on-one and group sessions with clients, Alex is profoundly dedicated to helping others speak their truth, release shame, and find oneness.   SUPER DUPER PLUG TIME! Registration is now open for the 2024 Enneagram Bootcamp: The Enneagram: Stress, Loss, and Relationships with LTM and the Enneagram Godmother. When: Thursday, August 1 - Saturday, August 3 Where: The Grove, Dallas, TX or join online from wherever you are visit lifeinthetrinityministry.com/2024ebc for all of the important information and to sign up. And don't forget about the pre-conference Yoga workshop with Yenneagram Master, Courtney Perry!   "A pastor walks out of the church and into the woods, in pursuit of the God he's lost." Sounds like a great story, right?! Join LTM and author and theologian Tony Jones on Friday, April 26th at The Micah Center or join online for a live podcast recording as Tony, Joe, and Suzanne discuss his newest book, The God of Wild Places. As an additional bonus, musician Ronnie Fauss will be sharing the stage as well! visit lifeinthetrinityministry.com/wildplaces to sign up!   TODAY'S INTRO: "Woke Up This Morning" by Alabama 3 Big Mouth (S4, E1: The New Me) The Break-Up (2006, Universal Pictures)  

In this episode, I'm wrapping up my first experience with Ayahuasca at the Soltara Healing Center in Costa Rica. If you haven't listened to Part One yet, head to the previous episode first so you can hear the order of events and how my first of four ceremonies went. In part two, I take you through: my intense experience during ceremony two an unexpected interaction with the Maestra the agony of ceremony three reflections on the entire experience and where I go from here As I've said before, this experience has been difficult to describe with words, but I'm here to give it my best shot. I hope you'll bring your curiosity and listen with an open mind. XO, LTM ----more---- LINKS: Lindsay's Instagram Ayahuasca Highlight on IG  Soltara Healing Center Get Your Copy of Wake Up! Wake Up by Lindsay Teague Moreno ----more---- Lindsay Teague Moreno author + speaker + podcaster WEBSITE: www.lindsaytm.com INSTAGRAM: @lindsayteague FACEBOOK: @ltmauthor PODCAST: www.wakeupthepodcast.com PINTEREST: @lindsayteague

This is the first episode of an anticipated 10 Episode series over the next year, that we're really excited for! You have most likely heard about the LTM Cohort program on the podcast, and what better way to talk about it then to follow along with 3 Cohort members? On today's show, meet Enneagram One Darnell Young. She has always been interested in the behavior of others and the motivation behind people's behavior. In being introduced to the Enneagram, Darnell felt the tool put a name, or number, to how she viewed people. She loves to share information with others to bring them to awareness of themselves and others around them. In the next couple of episodes listeners will also meet Matt and Alex from the 2024 Enneagram Cohort. If you're interested in applying for the LTM Cohort program, there is still time to apply for the 2024 Leading Change Cohort, and the dates, expectations, and application for the 2025 program will open up in the Spring! Want to dip your toes before diving into a Cohort? CLICK HERE to sign up for one of LTM's Enneagram small groups starting in March. The Enneagram Journey podcast is produced by Life in the Trinity Ministry, a 501c3 non-profit ministry, and your donations help us to keep workshops and resources affordable as well as fund scholarships for the Cohort program, teaching events, and maintenance and upkeep of The Micah Center. You can contribute at lifeinthetrinityministry.com and the enneagram journey.com   TODAY'S INTRO Jerry Maguire (TriStar Pictures, 1996) The Princess Bride (20th Century Studios, 1987) South Park (S4, E8) You People (Netflix, 2023) Blessings on your journey!

On this episode, I'm spilling all the details of my experience with ketamine at a doctor's office here in Scottsdale, Arizona. Why I chose to do it. What I felt like before, during and after. What I got out of it. And what I'd do differently next time.  This experience is one those things that's hard to describe with words so I hope you'll join me, with an open mind, as I do my best to answer the questions I've gotten. Maybe you've been thinking of it a maybe you're just here for the tea. Either way, I'm happy to take you on the ride.  XO, LTM----more---- LINKS: Lindsay's Instagram Ketamine Highlights: Part One Ketamine Highlights: Part Two InLIGHTen Wellness in Scottsdale, AZ Get Your Copy of Wake Up! Wake Up by Lindsay Teague Moreno ——————————————— Lindsay Teague Moreno author + speaker + podcaster WEBSITE: www.lindsaytm.com INSTAGRAM: @lindsayteague FACEBOOK: @ltmauthor PODCAST: www.wakeupthepodcast.com PINTEREST: @lindsayteague

Meet some of the members of LTM's first online Enneagram Journey Curriculum group! Suzanne and Joel talk with Chelsea (8), Jennifer (4), Maria (2), Marty (2), Hillary (2), Matt (6), and Ronna (8) in today's episode about how they found each other and what the Journey has been like so far. Then the conversation evolved into a discussion about where we find our shadow side and false self in enneagram work, the greatness of the Barbie movie, spiral dynamics, and the importance of intergenerational learning. If you don't have a group yet, find one! Create one! Join one! You've heard it over and over again, one of the mottos of LTM and The Micah Center is, "A place for solitary work that cannot be done alone."   LTM will be starting a few new small groups in 2024, and the information for the 2025 Cohort program will be available soon! Be sure to visit lifeinthetrinityministry.com to see what is new and upcoming at LTM   TODAY'S INTRO Barbie (2023) South Park (S7, E12) Bar Rescue (2011, Paramount Network)    

"Marriage has taught me that two people can experience reality in two very different ways." - Josh Graves   Welcome Josh Graves, preaching and teaching minister at Otter Creek Church in Nashville, TN and author of The Simple Secret: Choosing Love in a Culture of Hostility, and an Enneagram 3. A little subtype talk, a little family systems talk, relationships (of course), and do you know if you're playing the game?   This is a GOOOOOOD, good book! You can get your copy here on Amazon.   PLUG TIME Clear your calendar! August 1st through August 3rd, the 2024 Enneagram Bootcamp with Suzanne in Dallas and online. There is no experience that can replace being in Dallas in person for the event, but a second option is joining online if you can't be there in person. Suzanne and LTM are working on the material right now, and as soon as the weekend's teaching is set, we will let you know. For now just go ahead and make those travel plans for Thursday, August 1 through Saturday, August 3rd! We wouldn't be able to have bootcamp, workshops, cohorts, etc., without you! LTM is a 501c3 non-profit ministry, and your donations help us to keep workshops and resources affordable as well as fund scholarships for the Cohort program, teaching events, and maintenance and upkeep of The Micah Center. Visit lifeinthetrinityministry.com to support the podcast and Life in the Trinity Ministry   TODAY'S INTRO "All You Need is Love", The Beatles (1967) How I Met Your Mother (S3: E18) FRIENDS (S5: E14)

Longest title ever. Catching up after a break to integrate some seriously life-changing spiritual experiences. I just didn't have the words to say -- until now. To catch up, I've decided to do a little recap of last year with my bestie of 20+ years and co-worker for almost 10, Elizabeth Bienas. Join us as we discuss what we wanted and needed in our lives in 2023. As a bonus, you can hear about what we wear every day of our lives as work-from-home business owners and the best of what we read last year. Welcome to the no-frills version of the Wake Up Podcast. XO, LTM ----more---- LINKS: Get Your Copy of Wake Up! Wake Up by Lindsay Teague Moreno When God Created Light course by Katie Moon My Favorite Sports Bras | Use code LTM20 2023 Favorite Books List  ----more---- Lindsay Teague Moreno author + speaker + podcaster WEBSITE: www.lindsaytm.com INSTAGRAM: @lindsayteague FACEBOOK: @ltmauthor PODCAST: www.wakeupthepodcast.com PINTEREST: @lindsayteague

Donna Klassen, co-founder of Let's Talk Menopause (LTM), shares how LTM is helping women get the information they need and the healthcare they deserve. LetsTalkMenopause.org #WeDeserveBetter #menopausemovement #menopauseawareness #menopause

We're sharing 10 low effort rituals you can do that will help you get out of the yuck and feel yourself again! From reiki and movement to spell jars and candles we've got you covered when it comes to reviving your energy and shifting yourself into a better frame of mind. Whether you're feeling a little low right now and need something ASAP, or maybe you can prepare some of these for later we've got a whole bunch for you to try. Hit play and hear what our low-effort energy shifting rituals are, and don't forget to share your #LTM on Instagram with us.

Sparkling.io: Simplifying EV Charging with Smart Sockets and App Integration Sparklin.io Show Notes About The Guest(s): Laurent Stefan is the CTO and General Manager of sparkling.io, a company that focuses on providing solutions for the massification of charging points for electric vehicles. Laurent and his team have developed smart sockets and a platform that allows for easy access to charging with simplicity and security. Summary: Laurent Stefan, CTO and General Manager of sparkling.io, joins Chris Boss on The Chris Boss Show to discuss their innovative solutions for the massification of charging points for electric vehicles. Laurent explains that their focus is on providing a simple and cost-effective solution for slow charging at home and work, as well as designing smart sockets for monitoring and easy access to charging. The company's platform includes an app that allows users to monitor their charging status and power consumption, making it convenient for both individuals and businesses. Laurent also highlights the importance of cybersecurity and sustainability in their products, as well as their plans for future AI development and load-balancing services. Key Takeaways: sparkling.io offers a solution for the massification of charging points for electric vehicles, focusing on slow charging at home and work. Their smart sockets include LTM communication for secure and easy access to charging, with monitoring and power consumption data available through their app. The company prioritizes cybersecurity, sustainability, and simplicity in their products, with a focus on reducing environmental footprint. Their customer base includes B2B and B2B2C clients, such as fleet management companies and real estate companies. sparkling.io's platform allows for the creation and management of communities, making it easy for businesses to set up charging solutions for their employees. Quotes: "Our main scope is to offer a solution for the massification of charging for every people." - Laurent Stefan "We have been trying to distribute the intelligence from the fuse board to the device, to the charging points." - Laurent Stefan "We have a 24/7 monitoring in terms of cybersecurity and avoiding intrusion or any kind of issue on your network." - Laurent Stefan "Moving from traditional cars to EV vehicles is a big change in the mindset of the people and in the way you are using your mobility solutions." - Laurent Stefan "We are more focusing on tier one, tier two customers and also in the real estate in general." - Laurent Stefan

If you're a fan of The Enneagram Journey then there is a good chance you're a fan of books. Today's episode is filled with good book talk because Suzanne's dear friend Jeff Crosby is on the show. Jeff, Enneagram Nine and author of The Language of The Soul, shares his experience as a 9, what forgiveness means to him, and much more. Find out more about Jeff at jeffreycrosby.net and click here to get your copy of The Language of The Soul.   The Enneagram Journey podcast is produced by Life in the Trinity Ministry, a 501c(3) non-profit ministry. The podcast, workshops, Cohorts, and other enneagram and spiritual formation resources are made possible with your support and financial contributions. Click here to donate at lifeinthetrinityministry.com or visit theenneagramjourney.com Thank you for your continued support of the podcast and LTM!   TODAY'S INTRO: Shadowlands (1993, Richard Attenborough) We're The Millers (2013, New Line Cinema) The Office deleted scenes with Michael Scott Bruce Cockburn, "Orders" live on eTown  

https://linktr.ee/doweknowthem THANK YOU GUYS FOR 100K SUBSCRIBERS! We're sorry that yet again, Janet has ruined a milestone and made it so that we have to focus on yet another lawsuit. That being said, if you're able (AND ONLY IF YOU'RE MORE THAN ABLE AND IT IS NO INCONVENIENCE WHATSOEVER) here is the link to our gofundme for the legal fees to finance this disaster... and hopefully these little surprises make up for our begging for help lol http://www.thegirliesvsjanet.com The Lawsuit: http://bit.ly/3RWF667 PAST EPISODES ABOUT THE JANET SAGA: 1 - First Video Ever on LTM: https://www.youtube.com/watch?v=w66LMYS3hcc 2 - Janet Enters the Chat: https://www.youtube.com/watch?v=K5olAlB2Qew 3 - Janet Enters ... All of the Chats: https://www.youtube.com/watch?v=FWDqzt59xI4 4 - Janet Tries to Take Down Our Channel: https://youtu.be/7yJxFlc8AMw 5 - Our First Lawsuit From Janet: https://youtu.be/pofjXcBVfk0 Legal Commentators Talking About the Lawsuit: Runkle of the Bailey: https://www.youtube.com/watch?v=cBK8Vcz8a2Q Mad Catster: https://www.youtube.com/watch?v=9s65JyoHPQU Pegleg Finance: https://www.youtube.com/watch?v=kh9kfRLlhBY We hope you enjoyed this episode! Please let us know on Twitter or Instagram if you have any topic suggestions for next Sunday! (@lily_marston & @jessismiles__) Business Inquiries: doweknowthempodcast@gmail.com 00:00 Intro 4:00 Janet Update 5:50 Help The Girlies vs Janet 10:21 SURPRISE #1 17:07 SURPRISE #2 (Def Noodles) 53:12 Outro Advertising Inquiries: https://redcircle.com/brands

It's been a busy season, but The Enneagram Journey is back with a fantastic episode of Q&A with Suzanne, and a special appearance from Dr. Andy Stoker. CLICK HERE to ask a question for a future Q&A episode!   "Enneagram 7s Reframe, Enneagram 3s Restructure" The Seventh Law of Emotional Triangles What is nikhedonia?   PLUG TIME! The 4 Mantras and The Holidays is Saturday, December 9th Show Up Pay Attention Tell the Truth Don't Attach to the Results Now do all of that and have a fun, bright, and beautiful holiday season! Maybe not so easy? Well this workshop can help! Register to join online from anywhere in the world. Registration includes access to the Live teaching, the replay if you can't make it on the 9th or need to pop in and out, as well as a free audio download of the workshop. More information and registration at lifeinthetrinityministry.com/4mantras   Thank you for subscribing and listening to The Enneagram Journey Podcast. LTM is a 501c3 non-profit ministry, and your donations help us to keep the podcast ad-free, workshops and resources affordable, as well as fund scholarships for the Cohort program, teaching events, and maintenance and upkeep of The Micah Center. Your can donate to support the ministry at lifeinthetrinityministry.com/donate   TODAY'S INTRO: Step Brothers (2008 Columbia Pictures) Good Will Hunting (1997 Miramax) Dr. Andy Stoker (December 2024 Q&A)

An episode about pizza and all the interesting and weird toppings we have in Taiwan, with many useful vocabulary related to foods and pizza flavors. Enjoy!By the way, it's the 100th episode of LTM. 謝謝大家的支持！ Why not leave a comment on Spotify/Apple Podcast about your thoughts after listening to this podcast? :) Episode page:https://reurl.cc/WvndLZSupport the showBecome a member and get extra learning guides for each upcoming episodes:https://www.buymeacoffee.com/Chiayu

Enneagram Ones, have you named your Inner Critic? In this episode, Brian Lee shares his relationship with his Critic, as well as his journey from Broken to Beloved. Suzanne and Brian talk about Ennneagram One's relationship with Perfection and it what that my mean, and a great discussion about the line that Ones and Sevens share. This episode also includes a special appearance from Enneagram 8, Joey Schewee! PLUG TIME The Road Back to You has sold over 1 Million copies! If you or someone you know needs a fresh copy, during the month of October LTM is selling personalized/signed copies of The Road Back to You for $13 (a Stabile lucky number). Visit lifeinthetrinityministry.com and let Suzanne know who to sign it for and we'll get it headed your way. Early Christmas present?! Also, join LTM, Suzanne, and The Enneagram Journey for a celebration and live podcast recording at The Ivey Tavern in Dallas near Love Field airport on Friday, October 20th. The celebration is free to attend, but if you want to lock in a reserved seat, LTM has some available at lifeinthetrinityministry.com. Hope to see you there! TODAY'S INTRO: The Critic, FOX 1995 The Wedding Singer, New Line Cinema 1998 One, Sleeping At Last, 2019 Harry Potter and the Prisoner of Azkaban, Warner Bros. 2004

Channeling our inner Jeff Foxworthy... If you've ever thought to yourself, "How can I make sure people already know that I know the Enneagram and that I'm not new to it like they are?", you might be an Enneagram 3! Welcome Mallory Wyckoff to The Enneagram Journey! Mallory Wyckoff (DMin, MTS) is a writer, speaker, spiritual director, and peacemaker. She also serves as key relationships officer with Search for Common Ground, the world's largest organization dedicated to peacebuilding. Having completed her dissertation on the impact of sexual trauma on survivors' theological perception and spiritual formation, Mallory has a DMin in missional and spiritual formation. Today's episode includes talk about Curiosity, the difference between an Enneagram 1 and 3, Shame, Imaginative Prayer, and discussion about her newest book, God Is. You can find out more about Mallory at mallorywyckoff.com   TODAY'S PLUG: The 4 Mantras and The Holidays with Suzanne Stabile Saturday, December 9th in Dallas and Online Show Up, Pay Attention, Tell the Truth, Don't attach to the Results. How hard can it be? For different Enneagram numbers, some of these can prove to be difficult enough, but then add the pressures of the holiday season?! No worries though, because this year Suzanne Stabile is going to give us some tools to help us adhere to the 4 Mantras, and have a healthier and happier holiday season. CLICK HERE FOR MORE INFORMATION AND TO REGISTER   Thank you for your support of The Enneagram Journey podcast and of Life in the Trinity Ministry! To learn more about LTM, programming, and to donate visit lifeinthetrinityministry.com/about   TODAY'S INTRO: Shame, The Avett Brothers Laura Addis (E3 on The Enneagram Journey Podcast, June 2022) Barbie (Warner Bros. 2023) Ted Lasso (S1, E8)

Very cool episode of The Enneagram Journey podcast today. In the Spring of 2023 Suzanne and Joe taught a 2 day workshop on Change. Change and Spirituality, Change and the Enneagram, Change and Me, Change and You, CHANGE! The conversation today between Joe and Suzanne is the second segment of that workshop after the Reverend's opening. You can find that opening teaching here on the LTM website. The entire workshop will be available beginning September 12th in the LTM store. PLUG TIME Suzanne is teaching in Dallas September 23rd, in Houston September 30th, and in Porterville, CA October 13-14. We hope you can make it for one of these events! You can find all of the information and links for registration at lifeinthetrinityministry.com/events TODAY'S INTRO Early Mornin' Stoned Pimp, Kid Rock Anchorman: The Legend of Ron Burgundy (2004 DreamWorks Pictures) Changes, David Bowie Scrubs (S2.E14) Changes, 2Pac  

Its your monthly Q&A session with Suzanne! I'm struggling between knowing if I'm a 1 or a 2 Question from a 6 and 9 in relationship and new to the enneagram Several questions about Enneagram 4s and relationships How can a 5 and 9 get stuff done? A parenting question AND MORE "It's never really a matter of the withdrawing stance not knowing what to do. It's a matter of wanting to do what needs to be done."   PLUG TIME Its a quick plug, but a great one! The Road Back to You has sold over 1 MILLION copies!!! Join LTM and The Enneagram Journey podcast in celebrating on Friday, October 20th at The Ivy Tavern in Dallas. There will be a live recording of the podcast and you'll get to be around the LTM community as well as other enneagram enthusiasts in a really fun cool atmosphere. You can find all of the information as it is made available at lifeinthetrinityministry.com Congratulations Suzanne!!   TODAY'S INTRO: Family Guy (S16, E12) "Just Breathe", Pearl Jam (2009) The Office (S9, E18) Just Friends (New Line Cinema, 2005)

Meet Jasmine Miller! Enneagram 6, mother of two, married to Nat (9), and your new favorite Public Service Announcer. In today's episode, we're going to listen to a little of the show Lost, talk about Fear and Anxiety, journaling, and what it's like to be an enneagram 6 with two little ones around. PLUG TIME: Two upcoming events! Houston, TX - September 30, 2024 join Suzanne at St. Paul's UMC for Relationships and the Enneagram. Click here for more information and registration. Porterville, Ca - October 13-14 you can dive into The Path Between Us and Relationships and the Enneagram with Suzanne on her birthday! Want to know what present to give her: your attendance! Click here for more information and registration. Don't wait until it is too late to apply for the 2024 LTM Cohort Program! The final day to apply is September 1, 2023. Visit lifeinthetrinityministry.com/2024cohorts for all of the dates, information and application. LTM is a place for solitary work that cannot be done alone, and the Cohort program is the perfect example!   TODAY'S INTRO: Friends (Season 10, Episode 9) Let's Be Cops (2014, 20th Century Studios) Wedding Crashers (2005 New Line Cinema)

It is that time! Joey and Billy Schewee ,aka the Enneagram Parents, join Suzanne and Joel at The Micah Center to talk about this magical time of the year that is: BACK TO SCHOOL TIME! They're going to share some of their experiences, what they've learned from others on The Journey and help us to better understand our children during this transitional period as well as help us make some better parenting choices. After listening, we're sure you'll want to find them on social media. They're most active on Instagram and Facebook @enneagramparents.   PLUG TIME 2023 Enneagram Bootcamp: Naming and Navigating was so wonderful. You can still register to watch the replay of all 3 days of teaching at lifeinthetrinityministry.com. Apply today for the 2024 LTM Cohort Program! In 2024 LTM will offer 4 Cohorts: The Enneagram Cohort, The Contemplative Cohort, The Family Systems Cohort, and the Deconstruction/Reconstruction Cohort. Click here to find the dates, descriptions, and expectations as well as the application. LTM is a place for solitary work that cannot be done alone! Lifeinthetrinityministry.com   TODAY'S INTRO South Park (Season 24, Episode 1) Big Daddy (1999, Columbia Pictures) Billy Madison (1995, Universal Pictures) "What I Go To School For", Jonas Brothers

A lot packed into today's episode! This Q&A conversation was recorded in front of a live audience on The Table. Suzanne answers questions that have been sent in via the voicemail app on theenneagramjourney.com as well as some that were submitted live during the recording. What is her experience with twins and enneagram numbers? Comparing a 7 in stress vs. an 8 in low space Mistyping between a 1 and 4 2s and altruistic giving aaaaand more!   PLUG TIME! Kansas City, June 23-24, The Enneagram with Suzanne Stabile. Find your enneagram number and explore the role it plays in your life and in your relationships. Tickets are only $30 at Resurrection UMC. Click here for more information and registration. 2023 Enneagram Bootcamp: Naming and Navigating, August 3-5 The flagship event each year for LTM. This 3 day teaching event is for everyone no matter where you are on your Enneagram Journey. Suzanne will be combining Enneagram Triad teaching with Enneagram Stance wisdom to help participants better name and navigate their way in the world. Join us in Dallas for an incredible opportinity of growth and community, but if you cannot be with us in person, join online from where you are in the world! lifeinthetrinityministry.com/23bc Todays INTRO: "Nobody Like Me (Think I'll Go Eat Worms)" ABC Kids The Office - S6: E4 Daily Affirmations with Stuart Smalley, SNL (NBC)

"How can we 'Lazy Genius' this?" Find out in this episode of The Enneagram Journey with enneagram 1, Kendra Adachi! Kendra and Suzanne talk about:  their perspectives as a 1 and a 2 in the world The Dependent Stance and their relationship with Childhood Wounds is Joel a man-child? (Spoiler: his is) Anger, Connection, and Acceptance After today's show you'll be wanting to visit thelazygeniuscollective.com And be sure and subscribe to The Lazy Genius podcast!   PLUG TIME! Enneagram Bootcamp registration is OPEN!!! August 3-5 in Dallas, TX join Suzanne and LTM as we learn how to best Name and Navigate our experience. This three day weekend is the flagship event for Life in the Trinity Ministry each year where members of the growing LTM and enneagram community, both new and old, come together to grow compassion and understanding. You can find all of the important information and registration at lifeinthetrinityministry.com/23bc We're thrilled this year that Courtney Perry (yennneagram.com) will be leading a preconference workshop on Yoga and the Enneagram. Space is limited for the preconference workshop, so don't delay! For all of the teaching of the weekend there is a virtual option if you cannot attend in person in Dallas. 2023 Enneagram Bootcamp - August 3-5, 2023 - Naming and Navigating TODAY'S INTRO: "Just Breathe", Pearl Jam "No. 1", Nelly Super Troopers, 2001 Fox Searchlight Family Guy, S5: E7 The Office, S6: E4 The Sopranos, S5: E13

The first podcast of 2023! We are excited for what the New Year will bring on The Enneagram Journey! New incredible guests are already lined up, and a new schedule of podcasts to release each month has us thrilled. We thought the best way to kick off 2023 would be to wrap up some questions from the 2022 Book and Podcast Tour, The Enneagram Journey Toward Wholeness. Thank you everyone who joined Suzanne, other podcast listeners, and LTM last year. Stay tuned for upcoming teaching destinations, and visit the LTM Event Page to see where Suzanne will be next! PLUG TIME The Joy & Complexity of Fostering and Adoption March 9-11 in Dallas, TX or register to attend online Sparrow House Counseling has teamed with LTM to provide CEUs for this event! Visit lifeinthetrinityministry.com/family to register and for all of the important information! Today's INTRO Seinfeld: Season 7, EP 21 "The Wait Out" Sports Radio 96.7 and 1310 The Ticket: "The Tee Box" The Enneagram Journey podcast with Teresa and Scott Mcbean Daniel Tiger, "When You Feel So Mad That You Want To Roar"