Podcasts about Hybrid

Spike and Zuckerman hold down the garage, while Jonny is lost somewhere in Austin. Zuckerman rolls in a pristine 1968 Alfa Romeo GT Junior (factory plastic still on the seats) and Brian Finster from Sotheby's Motorsport stops by to talk high-end online car auctions. Also on the docket: California's Montana car registration tax evasion crackdown, the new Porsche 911 Turbo S putting GT3 buyers in an existential crisis, and somehow... funeral home horror stories. ______________________________________________

#outlander William uncovers more questions than answers as he inquires about Ben's death. Frank's words begin to take shape as Jamie sees more evidence that an impending war is coming to the backcountry. Life and death bring joy and pain to the Ridge.

How is AI reshaping our relationship with work, and what does that mean for the tools we rely on every day? In this episode of Tech Talks Daily, I'm joined by Cory McElroy, Vice President of Commercial Product Management at HP. Our conversation begins with a reflection on one of the most famous garages in technology history. The original HP garage in Palo Alto is often described as the birthplace of Silicon Valley, and standing there recently reminded me how far the industry has come since those early days. But as Cory explains, we may be entering another turning point. The nature of work has shifted rapidly in just a few years. Hybrid work is now the norm for millions of people, and expectations around workplace technology have changed with it. Employees no longer see technology as a basic productivity tool. They expect it to adapt to them, reduce friction, and help them focus on meaningful work. Cory shares insights from HP's Work Relationship Index, which highlights a striking reality. Only around 20 percent of employees say they have a healthy relationship with work. That number sounds concerning at first, but it also points to an opportunity. When organizations provide the right tools and experiences, employees become more productive, more creative, and more likely to stay. A big theme throughout our conversation is the growing role of AI directly on devices. Running AI locally on PCs changes how people interact with technology. Tasks that once took hours, such as analyzing documents or extracting insights from data, can now happen almost instantly. In some internal deployments at HP, employees reported saving up to four hours each week. We also talk about the hardware innovations that are emerging in response to this shift. Cory explains how new devices like the HP EliteBook X and the EliteBoard reflect a rethink of the PC itself. The EliteBoard, for example, integrates a full PC inside a keyboard, allowing users to connect to any display and instantly access desktop-level performance. It is a design that reflects the flexibility people now expect from modern workspaces. Looking ahead, Cory believes the next few years will bring even bigger change. Devices will increasingly understand context, connect seamlessly with other tools, and respond to natural language requests. Instead of jumping between multiple applications to complete a task, users may simply ask their device to assemble information and produce the outcome they need. So as AI becomes embedded into the devices we use every day and work continues to evolve, what would a truly frictionless workday look like for you, and how will your relationship with technology change as a result?

- Gas Prices Jump at the Pump - Japan Imports More American Made Vehicles - Tesla Buys $4.3B LG LFP Batteries - Volvo EX30 Axed for U.S. Market - Uber and NVIVIA Expand Robotaxi Tech - Renault to Deploy 350 Humanoid Robots - Buick Launches $70K Luxury EV Van - New Kia Telluride Hybrid First Drive

Open up your happy meal box because I'm sharing some nuggets of wisdom I found during the Hybrid Co conference in Charleston, SC last month.Follow the speakers for the full meals, but you can enjoy a little nugget or two for now.Join the group coaching call on Patreon - Mar 20, 2026 11am CSThttps://patreon.com/wittpod----Sponsor of the show: Imagen AIGet 1500 images edited for free when you try Imagen at https://imagenai.com/allheartphoto----Mentioned in the show:The Hybrid Co - thehybridco.comSam Jacobson - ideactionconsulting.comNoella Andres - noellaandres.comJustine Milton - justinemilton.comAshley Rae - ashleyraephotography.comSalted Pages - saltedpages.com----Other episodes you should check out257 - Christi Johnson - How to Work with Your Brain and Not Against It248 - Delaney Rietveld - Become the Most Booked Out Photographer in Your Area122 - Michelle Harris - 3 Reasons Wedding Photographers are Getting Ghosted232 - Christine Wright - Creating a Beautiful Experience for Couples Who Exist in Larger Bodies218 - Justine Milton - Diversify Your Revenue without Overthinking It251 - Noella Andres - Focus on What Makes You Unique and Let AI Do the Rest241 - Kellie Hetler - How to Photograph People with Disabilities206 - Kir Tuben - Fill Your Calendar During the Slow Season----Follow the showPatreon: https://patreon.com/wittpodWebsite: https://podcast.allheartphoto.comInstagram: https://instagram.com/witt.podYouTube: https://www.youtube.com/@wisdominthetangents

- Gas Prices Jump at the Pump - Japan Imports More American Made Vehicles - Tesla Buys $4.3B LG LFP Batteries - Volvo EX30 Axed for U.S. Market - Uber and NVIVIA Expand Robotaxi Tech - Renault to Deploy 350 Humanoid Robots - Buick Launches $70K Luxury EV Van - New Kia Telluride Hybrid First Drive

Rich Bayes, Product Management Leader at Cisco, spoke with Moshe Beauford of Technology Reseller News, during the Enterprise Connect conference about Cisco's latest collaboration device innovations and how artificial intelligence is reshaping the meeting experience. Bayes discussed Cisco's newest generation of collaboration hardware, including updates to its Desk Pro platform and advanced camera technologies designed to improve hybrid meetings. These devices incorporate AI-powered capabilities such as dynamic camera framing and intelligent speaker tracking to create a more natural meeting experience for both in-room and remote participants. “We're using AI to make meetings feel more natural, so people in the room and people joining remotely have the same experience,” Bayes said. A key focus for Cisco is integrating intelligent video and audio technologies directly into meeting devices. By embedding AI features into hardware, organizations can automatically optimize camera views, enhance audio clarity, and adapt to changing meeting environments without requiring complex manual configuration. The discussion also highlighted how enterprises are investing in higher-quality collaboration spaces as hybrid work becomes permanent. Modern meeting rooms must support distributed teams while maintaining consistent user experiences across different locations and devices. As organizations gathered at Enterprise Connect to evaluate the next generation of enterprise collaboration technologies, Cisco demonstrated how AI-powered meeting devices are becoming an essential component of modern workplace communication strategies. Learn more about Cisco: https://www.cisco.com/

One of the most common questions dietitians ask is: “What's the best business model — insurance, hybrid, or private pay?” The real answer? There isn't one perfect model. But there is a model that aligns with your current life season, energy capacity, and long-term goals. In this episode, we break down how each model actually functions in real life not just how it looks on Instagram and how to choose the structure that builds stability without burning you out. This is about sustainability, not trends.

Leading Change Through Love and Excellence What if the most powerful leadership strategy wasn't control… but heart? In this unforgettable keynote, professional speaker and entrepreneur Hanna Bauer shares her extraordinary story as a childhood heart disease survivor, pioneering surgery patient, and visionary leader who turned adversity into purpose. Through powerful storytelling and practical leadership insights, Hanna introduces HEARTnomics — a transformational leadership philosophy built on five essential principles: Hope. Empowerment. Accountability. Results. Trust. Combined with her actionable BEAT Method, this keynote shows leaders how to turn challenge into momentum, uncertainty into opportunity, and vision into measurable impact. Scale Your Organization with Purpose, Power, and HEART. At HEARTnomics, we equip leaders and organizations with a transformational pathway to align vision, values, systems, and strategy—so they can grow with purpose, lead with excellence, and scale with heart. Because real success isn't just about scaling fast. It's about scaling right. Success Requires Scaling But when growth happens without alignment, the cost is bigger than missed momentum. You lose: • Time • Money • Energy • Team trust • And the relationships that drive lasting success. You don't need another strategy document. You need transformation. At HEARTnomics, we help leaders: ✔ Cast bold, clear vision ✔ Build high-trust cultures ✔ Lead meaningful change So organizations can scale with clarity, sustain momentum, and create impact that lasts. Because the future success of your business depends on the leadership you build today. What We Do Implementation Excellence Success isn't just about having the right ideas. It's about executing them with precision. HEARTnomics helps organizations integrate the right solutions, systems, and leadership practices that drive measurable growth. When strategy is implemented with intention and care, excellence becomes the foundation for: • Customer loyalty • Organizational growth • Sustainable performance Our programs are delivered through: ✔ In-person leadership experiences ✔ Virtual training and coaching ✔ Hybrid programs designed for modern organizations HEARTnomics Heart-centered leadership Transformational leadership keynote Leadership through love Leadership resilience Purpose-driven leadership Empowerment leadership Change leadership strategy Organizational transformation Leadership inspiration Motivational keynote speaker Leadership mindset Innovation leadership Culture-driven leadership High-performance leadership Leadership development keynote www.heartnomics.com https://www.linkedin.com/in/bauerhanna/ https://www.youtube.com/@heartnomics https://www.instagram.com/heartnomics/ https://www.facebook.com/hannad.bauer

Steve and Nick Discuss Naxja 2026 and 9" Hybrid and 609 Talk   Thanks for Listening!    More TOP Here!               https://www.facebook.com/groups/679759029530199    https://www.patreon.com/Totaloffroadpodcast https://www.youtube.com/@totaloffroadpodcast4296   Affiliate Companies we know You'll love!   https://www.facebook.com/profile.php?id=100091584686528  https://www.offroadanonymous.com/ https://crawleroffroad.com/ https://morrflate.com/ https://completeoffroad.com/ https://www.summershinesupply.com/ https://toolboxwidget.com/ https://coldspringcustoms.com/pages/radiopod http://www.radesignsproducts.com/    Follow Your Hosts! www.instagram.com/total_offroad_podcast www.instagram.com/low_kee_xj www.instagram.com/Dmanbluesfreak www.instagram.com/mikesofunny https://www.instagram.com/mr.mengo.xj/   All Caught Up with TOP? Go give these guys a listen! https://open.spotify.com/show/5AEPwCe1rbd4miFs0wQUtp https://open.spotify.com/show/1Pvslx6FEQJdTurCXOckBL?si=b2cacbe3d7d44f22 https://www.snailtrail4x4.com/snail-trail-4x4-podcast/ https://heattreatedgarage.buzzsprout.com/ 

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Send a textIn this episode...--> Microsoft has confirmed that the next Xbox is in development. Dubbed Project Helix, the device is described as a “next generation console” that can “play your Xbox and PC games.”--> Monday's movie-focused Nintendo Direct delivered the final trailer for The Super Mario Galaxy Movie while revealing new members of its cast – including Donald Glover (a.k.a. Childish Gambino) as Yoshi.--> Ever since Sony announced the original God of War trilogy was getting the remake treatment, there has been one question being asked louder than others - will the remakes include the originals' infamous sex mini games?--> Also: Top 3 New Releases, TriviaWe love our sponsors! Please help us support those who support us!- Check out the Retro Game Club Podcast at linktr.ee/retrogameclub- Connect with CafeBTW at linktr.ee/cafebtw- Get creative with Pixel Pond production company at pixelpondllc.com- Visit Absolutely the Best Podcast: A Work in Progress at linktr.ee/absolutelythebest**Get 15% off at blacklyte.com/Gamersweekpodcast using code GWP26! Hosts: donniegretro, retrogamebrews, wrytersviewOpening theme: "Gamers Week Theme" by Akseli TakanenPatron theme: "Chiptune Boss" by donniegretroClosing theme: "Gamers Week Full-Length Theme" by Akseli TakanenSupport the show

#1- When transit cops target gringos:   #2- The problem with gringo tourists:   #3- How Latinos can spot a gringo tourist a mile (or a kilometer) away: What about them spotting out us long term expats?   #4- Do Latinos mock or make fun of us gringos behind our backs (like we do them?):   #5- The use of glyphosate in Latin America:   #6- Why buying a “Hybrid” car is pretty stupid:   #7- Our own Expat Captain Mango has developed a unique one-on-one Crypto consulting and training service (he's been deep into crypto since 2013). To get started, email him at: bewarecaptainmango@gmail.com   

The Founder & CEO of Power the Future, Daniel Turner joins us to answer your questions on the effect of the Iran conflict on gas prices, the rising cost of electricity, climate change, wind, solar & more.Follow Daniel @DanielTurnerPTF

SUPERPHYSIQUE NUTRITION : SANTÉ, LONGÉVITÉ & PERFORMANCE Boutique officielle : https://www.superphysique-nutrition.fr LE PODCAST Retrouvez Rudy Coia, cofondateur de SuperPhysique Nutrition en 2012 et Clément Goudin, pour un échange mêlant anecdotes et expertises techniques. Cet épisode traite de santé, de nutrition et d'exercice physique, avec des conseils issus de nos domaines de compétence respectifs. L'ÉQUIPE - Rudy COIA : coach musculation depuis 2006 et formateur certifié (CQP, BPJEPS, DEJEPS), il intervient auprès des particuliers et des futurs professionnels du sport. Co-concepteur des gammes SuperPhysique Nutrition, il valide chaque formulation pour garantir son adéquation avec les besoins des athlètes naturels. Il est l'auteur du "Guide de la musculation au naturel" et du seul et unique livre Hyrox francophone "HYBRID" QUI EST CLEMENT GOUDIN ? Clément est champion de France 2019 de Force athlétique en -93 kg et coach cette discipline et toute personne qui souhaiterait prendre de la force. C'est le seul athlète en France à avoir participé à tous les championnats de France sans matériel encore en activité. Vous pouvez le retrouver sur Instagram où il poste ses entraînements presque quotidiennement sur https://www.instagram.com/cltgd1/?hl=fr et sur www.smart-power-system.fr RESSOURCES ET COACHING - Formation gratuite : https://www.rudycoia.com/newsletter/ - Coaching à distance : https://www.rudycoia.com/produit/suivi-coaching-a-distance/ - Coaching Premium : https://www.rudycoia.com/produit/coaching-premium/ - Compléments alimentaires : https://www.superphysique-nutrition.fr

Why I Switched to a Hybrid Approach and Tripled My Team's Delivery RateAgile was supposed to be the answer. Stand-ups, sprints, retros, these rituals promised faster delivery, happier teams, and stakeholders who finally felt in sync with engineering. For a while, it worked. My team hit a rhythm, delivered features quickly, and felt engaged in the process.But over time, the cracks showed.Velocity slowed to a crawl. Stand-ups became theater. Engineers dreaded sprint planning. Stakeholders kept asking when features would actually be done. And remote work made it worse with Zoom fatigue, Slack overload, and endless context-switching draining the energy Agile was supposed to give us.At first, I blamed the team. Maybe we weren't “doing Agile right.” So I doubled down on the rituals. More retros, stricter sprints, tighter velocity tracking. But the harder I pushed, the more Agile turned into bureaucracy.How to connect with AgileDad:- [website] ⁠https://www.agiledad.com/⁠- [instagram] ⁠https://www.instagram.com/agile_coach/⁠- [facebook] ⁠https://www.facebook.com/RealAgileDad/⁠- [Linkedin] ⁠https://www.linkedin.com/in/leehenson/

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

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This episode, quite literally, has it all! Every strategy, every freebie, every way to implement hybrid into your ministry. It's horrible for me, because I'm giving away anything and everything I've ever created! MEGA EPISODE GUIDE - Product & Freebie Links https://www.patreon.com/posts/hybrid-ministry-151264417?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link SHOW NOTES Shownotes & Transcripts https://www.hybridministry.xyz/192

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“You and I, we’re part of this last analog generation. We had the opportunity to grow up in a time and age where our brains had to evolve against friction.” –Cornelia C. Walther About Cornelia C. Walther Cornelia C. Walther is Senior Fellow at Wharton School, a Visiting Research Fellow at Harvard University, and the Director of POZE, a global alliance for systemic change. She is author of many books, with her latest book, Artificial Intelligence for Inspired Action (AI4IA), due out shortly. She was previously a humanitarian leader working for over 20 years at the United Nations driving social change globally. Webiste: pozebeingchange LinkedIn Profile: Cornelia C. Walther University Profile: knowledge.wharton What you will learn How the ‘hybrid tipping zone’ between humans and AI shapes society’s future The dangers and consequences of ‘agency decay’ as individuals delegate critical thinking and action to AI The four accelerating phenomena influencing humanity: agency decay, AI mainstreaming, AI supremacy, and planetary deterioration Actionable frameworks, including ‘double literacy’ and the ‘A frame’, to balance human and algorithmic intelligence What defines ‘pro social AI’ and strategies to design, measure, and advocate for AI systems that benefit people and the planet The need to move beyond traditional ethics toward values-driven AI development and organizational ‘return on values’ Leadership principles for creating humane technology and building unique, purpose-led organizations in the age of AI Global contrasts in AI development (US, Europe, China, and the Global South) and emerging examples of pro social AI initiatives Episode Resources Transcript Ross Dawson: Cornelia, it is fantastic to have you on the show Cornelia Walther: Thank you for having me Ross. Ross: So your work is very wonderfully humans plus AI, in being able to look at humans and humanity and how we can amplify the best as possible. That’s one really interesting starting point is your idea of the hybrid tipping zone. Could you share with us what that is? Cornelia: Yes, happy to. I would argue that we’re currently navigating a very dangerous transition where we have four disconnected yet mutually accelerating phenomena happening. At the micro level, we have agency decay, and I’m sure we’ll talk more about that later, but individuals are gradually delegating ever more of their thinking, feeling, and doing to AI. We’re losing not only control, but also the appetite and ability to take on all of these aspects, which are part of being ourselves. At the meso level, we have AI mainstreaming, where institutions—public, private, academic—are rushing to jump on the AI train, even though there are no medium or long-term evidences about how the consequences will play out. Then at the macro level, we have the race towards AI supremacy, which, if we’re honest, is not just something that the tech giants are engaged in, but also governments, because this is not just about money, it’s also about power and geopolitical rivalry. And finally, at the meta level, we have the deterioration of the planet, with seven out of nine boundaries now crossed, some with partially irreversible damages. Now, you have these four phenomena happening in parallel, simultaneously, and mutually accelerating each other. So the time to do something—and I would argue that the human level is the one where we have the most leeway, at least for now, to act—is now. You and I, we’re part of this last analog generation. We had the opportunity to grow up in a time and age where our brains had to evolve against friction. I don’t know about you, but I didn’t have a cell phone when I was a child, so I still remember my grandmother’s phone number from when I was five years old. Today, I barely remember my own. Same thing with Google Maps—when was the last time you went to a city and explored with a paper map? Now, these are isolated functions in the brain, but with ChatGPT, there’s this general offloading opportunity, which is very convenient. But being human, I would argue, it’s a very dangerous luxury to have. Ross: I just want to dig down quite a lot in there, but I want to come back to this. So, just that phrase—the hybrid tipping zone. The hybrid is the humans plus AI, so humans and AI are essentially, whatever words we use, now working in tandem. The tipping zone suggests that it could tip in more than one way. So I suppose the issue then is, what are those futures? Which way could it tip, and what are the things we can do to push it in one way or another—obviously towards the more desirable outcome? Cornelia: Thank you. I think you’re pointing towards a very important aspect, which is that tipping points can be positive or negative, but the essential thing is that we can do something to influence which way it goes. Right now, we consider AI like this big phenomenon that is happening to us. It is not—it is happening with, amongst, and because of us. I think that is the big change that needs to happen in our minds, which is that AI is neutral at the end of the day. It’s a means to an end, not an end in itself. We have an opportunity to shift from the old saying—which I think still holds true—garbage in, garbage out, towards values in, values out. But for that, we need to start offline and think: what are the values that we stand for? What is the world that we want to live in and leave behind? As you know, I’m a big defender of pro social AI, which refers to AI systems that are deliberately tailored, trained, tested, and targeted to bring out the best in and for people and planet. Ross: So again, lots of angles to dig into, but I just want to come back to that agency decay. I created a framework around the cognitive impact of AI, going from, at the bottom, cognitive corruption and cognitive erosion, through to neutral aspects, to the potential for cognitive augmentation. There are some individuals, of course, who are getting their thinking corrupted or eroded, as you’ve suggested; others are using it well and in ways which are potentially enhancing their cognition. So, there is what individuals can do to be able to do that. There’s also what institutions, including education and employers, can do to provide the conditions where people are more likely to have a positive impact on cognition. But more broadly, the question is, again, how can we tip that more in the positive direction? Because absolutely, not just the potential, but the reality of cognitive erosion—or agency decay, as you describe it, which I think is a great phrase. So are there things we can do to move away from the widespread agency decay, which we are in danger of? Cornelia: Yeah, I think maybe we could marry our two frameworks, because the scale of agency decay that I have developed looks at experience, experimentation, integration, reliance, and addiction. I would say we have now passed the stage of experimentation, and most of us are very deeply into the field of integration. That means we’re just half a step away from reliance, where all of a sudden it becomes nearly unthinkable to write that email yourself, to do that calendar scheduling yourself, or to write that report from scratch. But that means we’re just one step away from full-blown addiction. At least now, we still have the possibility to compare the before and after, which comes back to us as an analog generation. Now is the time to invest in what I would call double literacy—a holistic understanding of our NI, our natural intelligence, but also our algorithmic, our AI. That requires a double literacy—not just AI literacy or digital literacy, but the complementarity of these two intelligences and their mutual influence, because none of them happens in a vacuum anymore. Ross: Absolutely, So what you described—experiment, integration, reliance, addiction—sounds like a slippery slope. So, what are the things we can do to mitigate or push back against that, to use AI without being over-reliant, and where that experiment leads to integration in a positive way? What can we do, either as individuals or as employers or institutions, to stop that negative slide and potentially push back to a more positive use and frame? Cornelia: A very useful tool that I have found resonates with many people is the A frame, which looks at awareness, appreciation, acceptance, and accountability. I have an alliteration affinity, as you can see. The awareness stage looks at the mindset itself and really disciplines us not to slip down that slope, but to be aware of the steps we’re taking. The appreciation is about what makes us, in our own NI, unique, and the appreciation of where, in combination with certain external tools, it can be better. We all have gaps, we all have weaknesses, and that’s what we have to accept. The human being, even though now it’s sometimes put in opposition to AI as the better one, is not perfect either. Like probably you and most of the listeners have read Thinking, Fast and Slow by Daniel Kahneman and many others—there are libraries about human heuristics, human fallacies, our inability for actual rational thinking. But the fact that you have read a book does not mean that you are immune to that. We need to accept that this is part of our modus operandi, and in the same way as we are imperfect, AI, in many different ways, is also imperfect. And finally, the accountability. Because at the end of the day, no matter how powerful our tools are going to be, we as the human decision makers should consider ourselves accountable for the outcomes. Ross: Absolutely, that’s one of the points I make. We can’t obviously make machines accountable—ultimately, the accountability resides in humans. So we have to design systems, which I think provides a bit of a transition to pro social AI. So what is pro social AI, how do we build it, how do we deploy that, and how do we make that the center of AI development? Cornelia: Thank you for that. Pro social AI, in a way, is very simple. It’s the intent that matters, but it starts from scratch, so you have the regenerative intent embedded into the algorithmic architecture. It has four key elements that can be measured, tracked, and can also serve to sensitize those who use it and those who design it—tailored, framed, tested, targeted. The pro social AI index that I’ve been working on over the past months combines that with the quadruple bottom line: purpose, people, profit, planet. Now all of a sudden, rather than talking in an airy-fairy way about ethical AI—which is great and necessary, but I would argue is not enough—we need to systematically think about how we can harness AI as a catalyst of positive transformation that is with environmental dignity and seeks planetary health. How can we measure that? Ross: And so, what are we measuring? Are we measuring an AI system, or what is the assessment tool? What is it that is being assessed? Cornelia: It’s the how and the what for. For example, what data has been used? Is the data really representative? We know that the majority of AI tools are biased. And the other question is, is it only used for efficiency and effectiveness, but to what end? Ross: Yes, as we are seeing in current conversations around the use of models at Anthropic and OpenAI, there are tools, and there are questions around how they are used, not just what the tools are. Cornelia: Yes, so again, it comes back to the need for awareness and for hybrid intelligence, because at the end of the day, we can’t rely on companies whose purpose is to make money to give systems that serve people and planet first and foremost. Ross: This goes on to another one of your wonderful framings, which is AI for IA—AI for inspired action—around this idea of how do we amplify humans and humanity. Of course, this goes on to everything we’ve been discussing so far. But I think one of the things which is very useful there is AI, in a way, leading to humans taking action which is inspired around envisaging what is possible. So, how can we inspire positive action by people in the framing we’ve discussed? Cornelia: AI for IA is the title of the new book that’s coming out next month. But also, as with most of the things I’m saying, it’s not about the technology—it’s about the human being. We can’t expect the technology of tomorrow to be better than the humans of today. As I said before, garbage in, garbage out, or values in, values out—it’s so simple and it’s so uncomfortable, it’s so cumbersome, right? Because we like quick fixes. But unfortunately, AI or technology in general is not going to save us from ourselves, and as it is right now, we’re straightforward on a trend to repeat the mistakes made during the first, second, and third industrial revolutions, where technology and innovation were driven primarily by commercial intent. Now, I would argue that this time around, we can’t leave it at that, because this fourth industrial revolution has such a strong impact on the way we think, feel, and interact, that we need to start in our very own little courtyard to think: what kind of me do I want to see amplified? Ross: Yes, yes. I’ve always thought that if AI amplifies us, or technology generally amplifies us, we will discover who we are, because the more we are amplified, the more we see ourselves writ large. But we have choices around, as you say, what aspects of who we are as individuals and as a society we can amplify. That’s the critical choice. So the question is, how do we bring awareness to your word around what it is about us that we want to amplify, and how do we then selectively amplify that, rather than also amplify the negative aspects of humanity? Cornelia: The first thing, and that’s a simple one, is the A frame. I would argue that’s something everyone can integrate in their daily routine in a very simple way, to remind us of the four A’s: awareness, appreciation, acceptance, accountability. The other one, at the institutional level, is the integration of double literacy. Right now, there’s a lot of hype in schools and at the governmental level about AI literacy and digital literacy. I think that’s only half of the equation. This is now an opportunity to take a step back and finally address this gap that has characterized education systems for many decades, where thinking and thinking about thinking—metacognition—is not taught in schools. Systems thinking, understanding cognitive biases, understanding interplays—now is the time to learn about that. If the future will be populated by humans that interact with artificial counterparts configured to address and exploit every single one of our human Achilles heels, then we would be better advised to know those Achilles heels. So, I think these are two relatively simple ways moving forward that could take us to a better place. Ross: So this goes to one of your other books on human leadership for humane technology. So leadership of course, everyone is a leader in who they touch. We also have more formal leaders of organizations, nations, political parties, NGOs, and so on. But just taking this into a business context, there are many leaders now of organizations trying to transform their organizations because they understand that the world is different, and they need to be a different organization. They still need to make money to pay for their staff and what they are doing to develop the organization, but they have multiple purposes and multiple stakeholders. So, just thinking from an organizational leader perspective, what does human leadership for humane technology mean? What does that look like? What are the behaviors? What are the ways we can see that would show us? Cornelia: I think first, it’s a reframing away from this very narrow scope of return on investment, which has characterized the business scene for many decades, and looking at return on values. What is the bigger picture that we are actually part of and shaping here? What’s the why at the end of the day? I think that matters for leaders who are in their place to guide others, and guidance is not just telling people what they have to do, but also inspiring them to want to do it. Inspiration, at the end of the day, is something that comes from the inside out, because you see in the other person something that you would like in yourself. Power and money are not it—it’s vision. I think this is maybe the one thing that is right now missing. We all tend to see the opportunity, but then we go with what everybody else is doing, because we don’t really take the time to step back and think, well, there is the path of everyone, and there’s another one—how should I explore that one? Especially amidst AI, where just upscaling your company with additional tools is not really going to set you apart, it matters twice as much to not just think about how do I do more of the same with less investment and faster, but what makes me unique, and how can I now use the artificial treasure chests to amplify that? Ross: Yes, yes. I think purpose is now well recognized beyond the business agenda. One of the critical aspects is that it attracts the most talented people, but also, over the years, we’ve had more and more opportunities to be different as an organization. Back in the late ’90s and so on, organizations looked more and more the same. Now there are more and more opportunities to be different. The way in which AI and other technologies are brought into organizations gives an extraordinary array of possibilities to be unique, as you’ve described, and distinctive, which gives you a competitive position as well as being able to attract people who are aligned with your purpose. Cornelia: Yes, exactly. But for that, you need to know your purpose first. Ross: From everything we’ve just been talking about, or anything else, are there any examples of organizations or initiatives that you think are exemplars or support the way in which, or show how, we could be approaching this well? Cornelia: I think—this will now sound very biased—but I’m currently working with Sunway University, and I think they are the kind of academic institution that is showing a different path, seeking to leverage technology to be more sustainable, bringing in dimensions such as planetary health, like the Sunway Centre for Planetary Health, and thinking about business in a re-envisioned way, with the Institute for Global Strategy and Competitiveness. I think there are examples at the institutional level, there are examples at the individual level, and sometimes the most inspiring individuals are not those that make the headlines. That’s maybe, sorry, just on that, for me the most important takeaway: no matter which place one is in the social food chain, the essential thing is, who are you and how can you inspire the person next to you to make it a better day, to make it a better future. Ross: Yes, in fact, that word “inspired,” as you mentioned before. So that’s Sunway University in Malaysia? Cornelia: I think they are definitely a very, very good illustration of that. Ross: Just pulling this back to the global frame, and this gets quite macro, but I think it is very important. It pulls together some of the things we’ve pointed to—the difference between the approach of the United States, China, Europe, in how they are, you know, essentially the leaders in AI and how they’re going about it, but where the global south more generally, I think there’s some interesting things. Arguably, there’s a far more positive attitude generally in the populations, a sense of the opportunity to transform themselves, but of course a very different orientation in how they want to use and apply AI and in creating value for individuals, nations, and society. So how would you frame those four—the US, China, Europe, and the global south—and how they are, or could be, approaching the development of AI? Cornelia: Thank you for that. I think right now there are three mainstream patterns: the US, which is—I’m overly simplifying and aware of that—the US path, which is business overall; the European model, which is regulation overall; and the Chinese model, which is state dominance. I would argue there’s a fourth path, and I think that’s where leaders in the global south can step in. You might know I’m working, on the one hand, in Malaysia and, on the other hand, in Morocco, on the development of a sort of national blueprint of what pro social AI can look like. I think now is the time—again, coming back to leadership—to think about how countries can walk a different path and be pioneers in a field that, yes, AI has been around for various decades, but the latest trend, the latest wave that is engulfing society since November 2022, is still relatively new. So why not have nations in the global south that are very different from the West chart their own path and make it pro social, pro people, pro planet, and pro potential—and that potential that they have themselves, which sets them apart and makes them unique. Ross: Absolutely. Again, you mentioned Malaysia, Morocco. Looking around the world, of course, India is prominent. There are some African nations which have done some very interesting things. Just trying to think, where are other examples of these kinds of domestically born pro social initiatives happening? Of course, the Middle East—it’s quite different, because they’re wealthy, though they’re not among the major leaders, but there’s a whole array of different examples. Where would you point to as things which show how we could be using pro social AI at a national or regional level? Cornelia: Unfortunately, right now, there is not one country where one could say they have taken it from A to Z, but I think there are very inspiring or positive examples. For example, Vietnam was the first country in ASEAN to endorse a law on AI ethics and regulation—I think that’s a very good one. Also, ASEAN has guidelines on ethics. All of these are points of departure. Switzerland did a very nice example of what public AI can look like. So there are a lot of very good examples. The question is not so much about what to do, I think, but how to do it, and why. At the end of the day, it’s really that simple. What’s the intent behind it? What do we want the post-2030 agenda to look like? We know that the SDG—Sustainable Development Goals—are not going to be fulfilled between now and 2030. So are we learning from these lessons, or are we following the track pattern of doing more of the same and maybe throwing in a couple of additional indicators, or can we really take a step back and look ourselves and the world in the face and think, what have we missed? Now, frame it however you want, but think about hybrid development goals and ways in which means and ends—society and business—come together into a more holistic equation that respects planetary health. Because at the end of the day, our survival still depends on the survival and flourishing of planet Earth, and some might cherish the idea of emigrating to Mars, but I still think that overall the majority of us would prefer to stay here. Ross: Yes, planet Earth is beautiful, and it’d be nice to keep it that way. How can people find more about your work? Could you just tell people about your new book and any resources where people can find out more? Cornelia: Thank you so much. They are very welcome to reach out via LinkedIn. Also, I’m writing regularly on Psychology Today, on Knowledge at Wharton, and various other platforms. The new book that you mentioned is coming out next month, and there will be another one, hopefully by the end of the year. Overall, feel free to reach out. I really feel that the more people get into this different trend of thinking, the better. But thank you so much for the opportunity. Ross: Thanks so much for all of your work, Cornelia. It’s very important. The post Cornelia C. Walther on AI for Inspired Action, return on values, prosocial AI, and the hybrid tipping zone (AC Ep35) appeared first on Humans + AI.

#outlander For the last time, we get to declare that DROUGHTLANDER IS OVER!!! With mixed emotions, we discuss the beginning of the end with the season 8 premiere of Outlander.Jamie and Claire deal with a painful revelation regarding a past tragedy. Fanny starts to settle in as the Frasers travel back toward the Ridge. Jamie and Claire find the Ridge very different from when they left, including some interesting and unpleasant new neighbors. Reunions - expected and not - bring joy to the Frasers. Meanwhile, in Savannah, William continues to struggle with the trials of the past year, while also finding himself grieving once more. Jamie learns some disturbing news from an unexpected source.Mentioned in the show: Hanako discusses The Land Con US, an Outlander fan convention taking place October 3-4, 2026 in Austin, TX that she will be attending. Click ⁠this link⁠ to find out more information.Also mentioned: the Fandom Hybrid Podcast is nominated for an NYC Podcast Award in the "Best Entertainment and Pop Culture Podcast" category. There is a separate Audience Choice Award that YOU can vote for: just click this link and scroll to the "Best Entertainment and Pop Culture Podcast" category and vote for us! Voting is open until noon on March 12, 2026. More information here.

BREAKING NEWS ON THE PODCAST - This week, we cover Trump considering forcing Tencent to divest from it's gaming businesses in the US, which would have take the industry to it's knees. Plus, we discuss Highguard shutting down, God of War studio's next game maybe leaked, and the releases coming in March 2026.  Timecodes What we're playing - 8:39 Project Helix - 22:35 Mario Day News - 32:46 Sony's Dynamic Pricing - 44:00 News Spotlight - 52:40   Follow us! www.dropindropoutpod.com Bluesky, YouTube, IG, Threads and TikTok @spotlightgamespod Twitch.tv/spotlightgamespod Join our discord! https://discord.gg/Vxvp2sX64Z Email the show: mail@spotlightgames.net RSS Feed: https://spotlightgames.libsyn.com/rss Spotlight Games Theme by Chike Okaro @bassicfun Thanks for listening!

Außerdem: Hybrid-Autos - Doch der richtige Mittelweg? (11:15) // Mehr spannende Themen wissenschaftlich eingeordnet findet ihr hier: www.quarks.de // Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Strüwing.

Ben writes a training plan for Hyrox prep with a bias towards strength & bodybuilding.» CoachRx 14-Day Free Trial: https://referrals.coachrx.app/l/BENWISE83/» Watch on YouTube: https://youtu.be/E7QA09aNDzo» View All Episodes: https://zoarfitness.com/podcast/» Hire a Coach: https://www.zoarfitness.com/coach/» Shop Programs: https://www.zoarfitness.com/product-category/downloads/» Follow ZOAR Fitness on Instagram: https://www.instagram.com/zoarfitness/Support the show

For years, companies that needed to move money at scale faced the same frustrating tradeoff: build their own bank integrations and compliance infrastructure — a process that could take months — or stitch together a patchwork of specialized vendors, each covering a different rail. Modern Treasury has spent years sitting inside that problem, providing software infrastructure to help companies integrate with their banks, track funds, and manage ledgering at scale. Now, the founders have taken the company a significant step further, launching Payments, an integrated PSP that handles onboarding, KYB, and banking infrastructure on a client's behalf, compressing what used to be a six-month setup into days. Stablecoins are built in natively from day one, powered by Modern Treasury's acquisition of Beam, a stablecoin infrastructure company founded by Dan Mottice, who previously led crypto products at Visa and now heads stablecoin strategy at Modern Treasury. The result is what the company calls a "forever payments platform," designed to let companies start with fiat or stablecoin payments quickly with a single integration and expand over time, without the painful migrations that have historically defined scaling a payments stack. Listen to the podcast to learn about how Modern Treasury is thinking about fiat rails and stablecoins as complementary infrastructure, how the Beam acquisition shaped the new product, and why President Dimitri Dadiomov and Mottice believe the most significant near-term stablecoin opportunity lies in how companies manage working capital.

- VW Profits Halved by Tariffs and China Losses - Renault Unveils New Strategy and 36 New Models - Ford Suspends Guidance Over Tariff Impact - Slate Names New CEO Ahead of $25K Pickup Launch - NIO Posts 1st Quarterly Profit on Sales Surge - Zoox Expands Testing to Phoenix and Dallas - Nissan and Uber Partner on Wayve-Powered AVs - 1st Look: Refreshed Chrysler Pacifica Revealed - Stellantis Taps Toyota and Bosch for Hybrid Tech - U.S. Selects 8 Projects for eVTOL Program

Chatting about the latest Resident Evil game: Requiem. | Original Airdate: 7th March 2026 | Watch it here: https://youtu.be/zXsHckppylg

- VW Profits Halved by Tariffs and China Losses - Renault Unveils New Strategy and 36 New Models - Ford Suspends Guidance Over Tariff Impact - Slate Names New CEO Ahead of $25K Pickup Launch - NIO Posts 1st Quarterly Profit on Sales Surge - Zoox Expands Testing to Phoenix and Dallas - Nissan and Uber Partner on Wayve-Powered AVs - 1st Look: Refreshed Chrysler Pacifica Revealed - Stellantis Taps Toyota and Bosch for Hybrid Tech - U.S. Selects 8 Projects for eVTOL Program

Bridge loans, SBA 504 financing, and alternative lending solutions are becoming essential tools for small business owners who can't access traditional bank financing.In this episode of The Growth Minded Accountant, host Lee Reams sits down with Dave Manser, President & Chief Lending Officer at Business Loan Capital (BLC) to discuss how business owners are filling the growing capital gap and how advisors can help clients access financing faster.Traditional banks are approving fewer small business loans than ever before. Many entrepreneurs face long underwriting timelines, strict lending standards, or outright denials when trying to finance growth opportunities.Dave explains how bridge loans, SBA 504 financing, and hybrid lending structures can provide flexible solutions when timing, liquidity, or opportunity doesn't align with traditional bank processes.For tax and accounting professionals, this episode highlights the important role advisors can play in identifying financing opportunities and helping clients access capital at the right time.Lee and Dave discuss practical scenarios where accountants may recognize signals that a client could benefit from alternative financing, including property acquisitions, refinancing opportunities, and situations where equity is tied up in real estate.In This Episode• Why traditional bank lending for small businesses has tightened• What bank-alternative lending means and why it exists • How bridge loans help business owners act quickly on opportunities • When SBA 504 financing makes sense for commercial property purchases • Real-world examples where bridge financing saved deals • Financial signals accountants should watch for in client financials • How advisors can expand into capital advisory servicesAbout Dave ManserDave Manser is President and Chief Lending Officer at Business Loan Capital (BLC), a direct lender providing flexible financing solutions for business owners and commercial real estate borrowers.BLC specializes in:• Short-term bridge loans • SBA 504 financing • Conventional commercial loans • Hybrid capital structuresTheir lending model focuses on speed, transparency, and flexible deal structures, often helping borrowers move forward when traditional financing options fall short.Learn more:https://www.countingworkspro.com/partner-marketplaceAbout the ShowThe Growth Minded Accountant explores the strategies, technologies, and advisory opportunities helping tax and accounting professionals grow their firms and deliver more value to clients.Hosted by Lee Reams, CEO of CountingWorks PRO.

In this episode of SaaS Fuel, host Jeff Mains sits down with Allen Cooper, co-founder and CEO of Ready List, to unpack what it really takes to build and scale SaaS companies in healthcare—one of the slowest, most regulated industries on the planet.The conversation dives deep into navigating 12-18 month enterprise sales cycles, recovering from product failures, hiring salespeople with domain credibility, and building remote culture that sticks. Allen candidly discusses which products flopped (and why early validation matters), how piloting with hospitals builds irreplaceable trust, and where healthcare technology is headed as AI and automation remove low-value tasks from clinicians.If you're building SaaS in a complex, regulated space—or considering it—this episode offers grounded, real-world insights on winning where speed isn't optional, but patience is mandatory.Key Takeaways[5:45] - From Investor to Operator: Allen explains how he transitioned from working capital partner to healthcare entrepreneur, finding the intersection between business interest and solving real transparency problems in healthcare quality metrics.[7:05] - The Transparency Gap: Healthcare's biggest early pain point was lack of transparency and the over-utilization problem driven by low-deductible plans that conditioned patients to overuse the system.[9:39] - The Ready List Origin Story: Ready List was born from a partnership with a West Coast hospital opening with a mission to eliminate paper—specifically targeting environmental services teams still relying on paper-based cleaning protocols.[10:57] - BR90 & Birth Registration: How a gap in the birth registration process led to building VR90, which reduced what used to take hospitals 15-20 minutes per birth down to 15-20 seconds using robotics process automation (RPA).[16:43] - Products That Flopped: Allen admits early products failed because they relied on someone's opinion and story without proper market validation—a costly lesson in distinguishing wants from true needs.[17:02] - The Pilot-First Approach: The critical shift to piloting products with early adopters before full investment, ensuring real validation and ironing out issues with actual users rather than guessing.[20:50] - Timing & Government Risk: Why timing matters enormously in regulated industries, where a single law or government decision can make or break your product overnight.[22:33] - Navigating Long Sales Cycles: Healthcare sales cycles run 12-18 months, complicated by varied fiscal years across hospitals. Allen shares how understanding budget cycles and offering no-cost pilots can compress timelines.[25:16] - The Trust Equation: Piloting builds trust exponentially faster than cold outreach. When hospitals experience both your product and your support, they become far more tolerant when issues arise.[28:34] - Sales Hiring Evolution: Allen's shift from hiring SaaS-savvy generalists to requiring healthcare domain expertise—seasoned salespeople who already have relationships and understand the ecosystem.[34:18] - Building Remote Culture: How Ancilla moved from full in-office to hybrid, discovering that quarterly in-person gatherings plus weekly virtual team socials (online games, baking sessions) build the trust needed for remote teams to thrive.[39:38] - Advice for Complex Industries: Time is both friend and enemy—don't give up prematurely on Blue Ocean products, but also don't drag on what isn't working. Always validate that you're solving a need, not a want.[42:05] - The Future of Healthcare Tech: Allen predicts increased adoption of robots and AI to handle low-value tasks (documentation, routine activities), freeing providers to focus on direct patient care where they add the most value.Tweetable Quotes"A want is hard to sell. It's gotta be something that's needed—if you take it away from them, you're gonna be giving back a pain point." - Allen Cooper"Don't rely on someone's opinion and idea and hope that it works. Partner up, pilot it, validate it—especially if you're not an industry person." - Allen Cooper"Getting a sales individual that is in the network really goes a long way with that trust. Being in that space is the lens that I have now." - Allen Cooper"When you just get bombarded by vendors you don't know, you're just like 'I don't want it'—I'm trying to find a way to navigate through that to build trust." - Allen Cooper"Time heals anything you think you can't get out of. Don't drag your feet, but don't get discouraged when things aren't working today, this week, or this month." - Allen Cooper"A need is resilient to any downturn of a market because a need will be needed regardless of what happens. Always serve a need, not a want." - Allen CooperSaaS Leadership Lessons1. Validate Relentlessly Before You BuildAllen's biggest failures came from building products based on someone's opinion and compelling story without market validation. The lesson: Don't invest heavily until you've piloted with real users. Early adopters will tell you if you're solving a real problem or chasing a phantom need. Partner with 2-3 hospitals (or relevant organizations in your industry) to validate assumptions before going all-in.2. Solve Needs, Not WantsHealthcare taught Allen the critical difference between "nice to have" and "must have." Products solving true needs become indispensable—customers can't imagine operating without them. Wants are vulnerable to budget cuts and competitive pressure. Ask yourself: if we removed this solution tomorrow, would it create genuine pain or just mild inconvenience?3. Pilot Your Way to Trust in Skeptical MarketsIn industries like healthcare where skepticism runs high and relationships matter, free pilots are worth their weight in gold. Allen shortens sales cycles and builds trust by offering 30-day no-cost pilots. Prospects experience both the product AND the support, building confidence that pays dividends when inevitable issues arise. In tight-knit markets, trust beats features every time.4. Hire for Domain Expertise Over Sales SkillsAllen initially hired SaaS-savvy salespeople and trained them on healthcare. That didn't work. Healthcare sales requires understanding the ecosystem, knowing who to talk to, navigating 12-18 month cycles, and—crucially—having existing relationships. You can teach technology; you can't quickly teach 10 years of industry credibility. Hire seasoned professionals who already speak your customer's language.5. Understand Timing and External ForcesIn regulated industries, government decisions, new laws, and policy shifts can make or break your product overnight. Allen experienced this when Wisconsin threatened to roll out a state solution that could have eliminated his product's value proposition. Stay attuned to stakeholders beyond your customers: regulators, payers, associations. Build products resilient to foreseeable changes, and always have a Plan B.6. Remote Culture Requires Intentional ConnectionVideo calls alone won't build deep trust. Allen learned that purely remote employees struggled to integrate into company culture. The solution: quarterly in-person gatherings for team building plus weekly virtual social hours (online games, cooking together) to break down surface-level barriers. Hybrid models work when you're intentional about creating shared experiences that help teams weather challenges together.Guest Resourcesallen@ancillaventures.comwww.ancillaventures.comlinkedin.com/in/allen-c00perEpisode SponsorThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

In this episode, Dr. Stuart Slavin is joined by Melanie Pigott, the residency coordinator of the emergency medicine program at the Medical University of South Carolina, and Cindy Thompson, a senior program administrator for the orthopaedic surgery program at West Virginia University, for a focused conversation on program coordinator well‑being in graduate medical education. Program coordinators play a vital role in GME programs, yet their roles have become increasingly complex, demanding, and pressured—often with little margin for rest or recovery. Drawing on their years of experience and leadership on the ACGME's Coordinator Advisory Group, Pigott and Thompson reflect on the realities of the role and share practical, experience‑based strategies to reduce stress and sustain fulfillment. The conversation explores key drivers of coordinator well‑being, including managing workload through clear expectations and communication, improving efficiency through automation and shared resources, navigating hybrid and flexible work arrangements, and coping with the constant pressure of year‑round deadlines and evolving responsibilities. Throughout the discussion, the speakers emphasize the importance of professional community, peer support, self‑compassion, and giving oneself grace in a role defined by high standards and service to others. This episode launches a new series dedicated to supporting program coordinators and offers valuable insights for coordinators, program leaders, and institutions seeking to create healthier, more sustainable working environments for those who support medical learners every day.   Podcast Chapters (00:00) – Introduction and Welcome  (00:55) – Guest Introductions: Melanie Pigott and Cindy Thompson  (01:46) – Growing Workload and Burnout Risk in Program Coordination  (02:29) – Setting Expectations, Boundaries, and Communication Norms (05:14) – Improving Efficiency Through Automation and Shared Tools  (09:03) – Community, Peer Support, and Asking for Help  (10:14) – Hybrid and Flexible Work Models in GME  (14:57) – Managing Ongoing Work Pressure and Emotional Labor  (17:05) – Organization, Delegation, and Letting Go of Perfectionism  (21:03) – Closing Thoughts and Resources

Are you ready to transform your PMP exam preparation and tackle team dynamics like a pro? In this episode of our PMP Exam Mindset series, we dive into a powerful strategy: defining team ground rules. Whether you're navigating Agile or Hybrid methodologies, mastering this skill is essential for fostering accountability, collaboration, and efficiency within your team.Discover how clear ground rules can reduce conflicts, enhance communication, and help you ace tricky PMP exam questions. We guide you through practical advice and real-world examples, like co-creating a team charter, to ensure everyone is aligned and productive. This strategic approach is key to bridging knowledge gaps and developing a mindset for success on your journey to becoming a project management professional.Don't let team challenges hold you back! Take the next step in your transformative journey—embrace these mindset mantras, conquer Agile and Hybrid questions, and build a foundation for PMP success. Need more guidance? Join our live training sessions or webinars and access even more expert resources to supercharge your project management career. The PMP certification is within your reach—start today!#pmpexamprep #agileteamwork #agileframeworks #effectiveteams #teamagreementsCHAPTERS:00:00 - Welcome01:39 - True/False Quiz04:16 - Establishing Ground Rules Effectively05:55 - Exam Question Insights07:55 - Task 12 OverviewAre YOU Looking to Take the PMP Exam? Sign up: http://tinyurl.com/elitepmpAre YOU Looking to Take the CAPM Exam? Sign up: http://tinyurl.com/elitecapm

The global rise of the authoritarian right has confounded classification and led to contentious debates on the left. Do politicians like Modi, Bolsonaro, Orban, and Trump represent an extreme form of right-wing populism? Or are they fascists, as some claim? Historian and scholar of populism and fascism Federico Finchelstein argues that we're seeing something new — a phenomenon that blurs the lines between the two. (Encore presentation.) Federico Finchelstein, The Wannabe Fascists: A Guide to Understanding the Greatest Threat to Democracy UC Press, 2024 The post The Populist-Fascist Hybrid appeared first on KPFA.

Week of: 3-2-2026 Xbox Gaming News, Releases, and A Fun Fact

Scorchin' Radio - Latest In Progressive & Hybrid Trance

On the podcast: product-driven retention as the foundation for lifecycle marketing, working backwards from results to nail activation, and why talking to individual users can lead you astray.This conversation is shorter than usual and will be featured in RevenueCat's State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.Top Takeaways:

Kylie Auldist, one of Australia's leading soul singers, has released her long-awaited solo album Hybrid — her first in six years. - オーストラリアのトップソウルシンガーの一人として活躍するカイリー・オールディスト。6年ぶり、6年枚目となる待望のソロアルバム『ハイブリッド』をリリースしました。

Watch the video version here: https://youtu.be/IDymD2Z436QOn this episode:

Want your spa hot in 25 minutes or your pool warm all season without crushing bills? We break down the real differences between gas heaters and heat pumps so you can pick with confidence. From wiring needs and gas line runs to BTU sizing and actual heat-up times, we translate specs into clear choices you can act on.We start with the basics: why a gas heater delivers instant, on-demand heat while a heat pump pulls warmth from the air with far better efficiency. Then we look at the hidden costs of switching—dedicated 230-volt runs for heat pumps, new gas lines for heaters—and how those infrastructure moves can outweigh any small difference in utility rates. You'll hear how climate shifts performance, too: gas stays consistent even in the 40s, while heat pumps shine in mild weather and can even chill overheated pools in summer.If speed, recovery time, and cold-night spa sessions matter most, a properly sized 400,000 BTU gas heater is tough to beat. If steady comfort, solar integration, and long-term efficiency are your goals, a heat pump often wins on cost per degree. We also share practical notes on lifespan, maintenance complexity, footprint in tight pads, and noise. For anyone stuck between camps, we spotlight Pentair's UltraTemp ETi High Performance Hybrid Heater—one cabinet with four modes: heat pump, gas, hybrid, and dual—so you get fast spa heat when you need it and efficient daily warmth when you don't.By the end, you'll know which option fits your climate, budget, and space—and when a hybrid makes the decision effortless. If this helped you plan your next upgrade, subscribe, share the show with a pool owner who needs it, and leave a quick review to tell us your climate and what you chose.• core differences between gas heaters and heat pumps• installation needs for electrical lines and gas lines• heating speed, BTUs, and real warm-up times• operating costs, efficiency, and solar synergy• climate impacts on performance and reliability• footprint, noise, and recovery time on busy days• regional patterns and Send a textSupport the Pool Guy Podcast Show Sponsors! HASA https://bit.ly/HASAThe Bottom Feeder. Save $100 with Code: DVB100https://store.thebottomfeeder.com/Try Skimmer FREE for 30 days:https://getskimmer.com/poolguy Get UPA Liability Insurance $64 a month! https://forms.gle/F9YoTWNQ8WnvT4QBAPool Guy Coaching: https://bit.ly/40wFE6y

This Omni Talk Retail Fast Five segment, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, examines Walgreens' pilot of a new hybrid pharmacist role. Chris Walton and guests Cassie Ryding and Joanna Rangarajan discuss whether this approach could ease pharmacist burnout, improve store operations, and help Walgreens adapt to the evolving healthcare retail landscape. ⏩ Watch the full episode here: https://youtu.be/COjVCrP5sHE #Walgreens #PharmacyRetail #RetailOperations #OmniTalk

As workplaces continue to evolve, so does the meaning of employee appreciation. In this special Employee Appreciation Day episode, we explore how organizations can recognize and support their teams in increasingly hybrid and remote environments, while staying mindful of legal risks. Subscribe to our podcast today to stay up to date on employment issues from law experts worldwide.Host: Marcia DePaula (email) (Steptoe & Johnson PLLC)Guest Speakers: Mike Gardner (email) & Fred Schutt (email) (Woods Rogers)Support the showRegister on the ELA website here to receive email invitations to future programs.

If you are both lifting weights and doing cardio, is your program optimizing for both without undermining each other?It's not that combining them is bad, but that most people struggle to arrange their training week.Philip walks through the 5 programming mistakes that create interference between your strength training and your conditioning, using the new Velocity 5-day Hybrid program from Physique University as the example of what it looks like when you fix all five.You'll learn when to program your heaviest lifts, which days your sprint intervals should go on, how and when to use a dedicated "active recovery" day, and when to skip the extra conditioning work instead of pushing through it.If you've been trying to build muscle, lose fat, and improve your cardio fitness at the same time and feel like neither one is progressing, this episode will show you where to look first.Cozy Earth bamboo pajamas and blankets | Your training is only as good as your recovery. Cozy Earth's temperature-regulating bamboo pajamas and Classic Cuddle Blanket help you actually rest when you're done for the day. 100-night sleep trial, 10-year warranty. Go to witsandweights.com/cozyearth and use code WITSANDWEIGHTS for up to 20% off.Join Physique University (Velocity + 10 other training templates): physique.witsandweights.comEpisodes MentionedStrength Training and Endurance Together (Without Killing Your Gains)Are Your Fitness Goals in Conflict?Timestamps0:00 - Lifting vs. cardio (does hybrid training create interference?)  4:55 - Mistake 1: Timing of cardio vs. heavy lifts 6:51 - Mistake 2: Superset pairings and muscle fatigue 8:28 - Mistake 3: Putting sprint intervals on the wrong days 10:27 - Mistake 4: To "active recovery" or not? 14:18 - Mistake 5: Doing THIS with every conditioning session 15:45 - Recovery starts with better sleep 17:00 - How the full training week fits together 19:33 - Sequencing vs. exercise selection 20:44 - Velocity 5-Day Hybrid Training program 22:32 - The 60-second hybrid program audit

Anjani Mahabashya M.D., CHCQM-PHY is the founder of the founder of a physician-led consulting company focused on Utilization Management, CDI, coding process improvement, and Physician Advisor staffing. Dr Mahabashya is a national speaker, a two-time TEDx speaker, and has been featured on multiple podcasts. She has also trained and mentored physicians to become effective, high-impact Physician Advisors. Some of the topics we discussed were: Career opportunities outside traditional clinical practicePractical steps for successfully transitioning away from traditional clinical practiceHow to work in different roles without completely giving up clinical practiceThe role of curiosity in working hybrid rolesDr. Mahabashya's course where physicians can gain practical experience with the day-to-day of hybrid career pathwaysPreparing for value-based care as a physicianRecommendations for someone who has just started as a physician advisorThe importance of relationship building as a crucial skill set for a physician advisor And more! Connect with Dr. Mahabashya:Email:anjaniM@avenrasolutions.com LinkedIn:https://www.linkedin.com/in/anjani-m-848a201b9/ Ep 180: How to Expand Physician Impact Beyond the Bedside as a Physician Advisor with Dr. Anjani Mahabashya Apple Podcasts: https://podcasts.apple.com/us/podcast/voices-of-women-physicians/id1630624425?i=1000749059219 Spotify: https://open.spotify.com/episode/0kPobt1jZrRPSZBjVTPFOJ?si=825HAsceTVufaAlN-bj1Tg Ep 181: Upskilling for the Evolving Healthcare Landscape with Dr. Anjani Mahabashya Part 1 Apple Podcasts: https://podcasts.apple.com/us/podcast/voices-of-women-physicians/id1630624425?i=1000750141503 Spotify: https://open.spotify.com/episode/2hW638XbEdeocoHZivL0mp?si=gEYAuKjFRIOwwI2I41B0LA Ep 182: Upskilling for the Evolving Healthcare Landscape with Dr. Anjani Mahabashya Part 2 Apple Podcasts: https://podcasts.apple.com/us/podcast/voices-of-women-physicians/id1630624425?i=1000751171536 Spotify: https://open.spotify.com/episode/4SuutTSMyXjPa9QBfkS1A7?si=5XDr99FhTSa1DQ4uSlxjgw 

In this episode of LiberatED, Kerry McDonald talks with Rebecca Thomas, founder of Victory Alliance, a K–12 hybrid homeschool program in Traverse City, Michigan. Rebecca shares how she transitioned from an educator in traditional public, charter, and Christian schools to homeschooling her own child—and eventually launching a microschool during the uncertainty of the COVID-19 pandemic. What began as a tutoring pod in one family's basement has grown to serve 50 students with six teachers, and prioritizes small class sizes, academic rigor, and flexibility for families. Rebecca explains why she has intentionally capped enrollment to preserve quality, how her first graduates earned multiple college acceptances, and why aspiring education entrepreneurs should begin small, build trust, and let growth happen organically. This is a conversation about courage, community, and the power of starting before you feel ready. *** Sign up for Kerry's free, weekly email newsletter on education trends at edentrepreneur.org. Kerry's latest book, Joyful Learning: How to Find Freedom, Happiness, and Success Beyond Conventional Schooling, is available now wherever books are sold!

TTM Run Advanced is live. If improving your run times actually matters to you, this 16 week program is for you. Take 25% off with code RUN25. Sale ends Saturday, March 7 at midnight EST. Today's Overrated/Underrated Topics: 00:00:15 – Overrated/Underrated Intro 00:04:20 – California 00:09:04 – BPC 157 Peptides 00:11:22 – Carb cycling 00:16:04 – Push/Pull/Leg Split 00:20:17 – Zone 2 00:22:37 – Rice and Grinds as a main source of carbs 00:26:30 – Mobility and Stretching 00:31:02 – Voodoo's 5x5 00:35:41 – Leg blasters 00:38:26 – BJJ 00:41:03 – Running in kit 00:43:32 – Titan supplements 00:47:16 – Intuitive Rest Days 00:49:47 – Pre-workout 00:53:37 – Intervals on an assault bike/rower instead of running 00:55:37 – Icing for shin splints 01:00:21 – Prime Lifting Equipment 01:02:25 – Arsenal equipment 01:03:58 – Atlantis equipment 01:04:33 – Recovery Runs—Questions? Look for bi-weekly Q&A on my stories. I'll answer your questions on IG & on the podcast.—New Running Program: TTM Run AdvancedNew Selection Prep Program: Ruck | Run | Lift New Hybrid Program: Jacked Gazelle 3.0Ebook: SOF Selection Recovery & Nutrition Guide—TrainHeroic Team Subscription: T-850 Rebuilt (try a week for free!)—PDF programs2 & 5 Mile Run Program - run improvement program w/ strength workKickstart- beginner/garage gym friendlyTime Crunch- Workouts for those short on timeHypertrophy- intermediate/advancedJacked Gazelle- Hybrid athleteJacked Gazelle 2.0 - Hybrid athleteSFAS Prep- Special forces train-upRuck | Run | Lift - Selection Prep—Spoken Supplements: Code terminator_trainingCwench supplements: Code terminator_training—Let's connect:Newsletter Sign UpIG: terminator_trainingYoutube: Terminator Training Methodwebsite: terminatortraining.com

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Co-Hosts: Ben Criddle (@criddlebenjamin)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

In Part 2 of yesterday's conversation, Travis Chappell and his producer, Eric, continue their candid discussion about building a career without following the traditional “prestigious school → perfect job” blueprint. From mission-field poverty to producing millions of podcast views, this episode explores the messy middle of modern work—where stability and ambition can coexist. If you've ever felt stuck between the safety of a 9–5 and the pull of entrepreneurship, this conversation is your roadmap for navigating both. On this episode we talk about: The hybrid model: why you don't have to “burn the boats” to build something meaningful Treating your 9–5 like a client instead of a prison Continuously reevaluating your skills, goals, and what fulfillment actually looks like Leveraging content, outsourcing, and systems to build momentum on the side Why complaining repels opportunity—and action creates clarity Getting comfortable with uncertainty in a rapidly changing economy Top 3 Takeaways You can hold both worlds. You don't have to fully quit your job or fully surrender to it—build stability while creating leverage on the side. Clarity comes from action, not overthinking. The only way to discover what you actually want is by trying things, adjusting, and trying again. Opportunity favors ownership. Complaining about the system changes nothing—creating inside of it (or alongside it) changes everything. Notable Quotes “Find the thing that actually takes care of you—and build the vision on the side.” “There's never been an opportunity gained from sulking and complaining.” “The bad news is you have to figure it out. The good news is—you get to.” “If there was opportunity repellent in a spray, it would be complaining.” Connect with Travis Chappell: LinkedIn: https://www.linkedin.com/in/travischappell Twitter/X: https://twitter.com/traviscchappell Instagram: https://www.instagram.com/travischappell Other: https://travischappell.com  Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency.  Capture leads, nurture them, and close more deals—all from one powerful platform.  Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

Want to finally buy a rental property in 2026? You've listened to the podcast. You've read the books. But what's the best way to actually start? Today, we're pulling back the curtain and sharing a beginner-friendly strategy that gives you a bit of everything—cash flow, appreciation, loan paydown, AND tax benefits! Welcome to another Rookie Reply! We're back with more questions from the BiggerPockets Forums. First, we'll hear from someone who knows plenty about real estate investing but needs a clearer roadmap for getting started and scaling their real estate portfolio. Ashley and Tony share a rookie-friendly investing strategy that will help them not only buy their first deal but also get a head start on building serious wealth! Another rookie has saved a large amount of money and is considering buying their first property in cash. But should they? We weigh the pros and cons of paying cash versus getting a mortgage. Then, we discuss the opportunities and risks of investing in D-class neighborhoods, as well as a few things all rookies should know before evicting tenants. Looking to invest? Need answers? Ask your question here! In This Episode We Cover The beginner-friendly strategy that gives you cash flow, appreciation, and more Paying in cash for an investment property versus getting a mortgage Finding affordable areas to invest when you're priced out of your own market The biggest opportunities and risks of investing in “rough” neighborhoods What every rookie should know before evicting troublesome tenants And So Much More! Check out more resources from this show on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BiggerPockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.biggerpockets.com/blog/rookie-685 Interested in learning more about today's sponsors or becoming a BiggerPockets partner yourself? Email ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠advertise@biggerpockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.  Learn more about your ad choices. Visit megaphone.fm/adchoices