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Today's guest is Scott Lien, CEO and Co-Founder at GrandPad and David Walsh, Chairman at HaloCare. In this podcast, we explore how technology is being innovatively integrated into elderly care, offering transformative solutions to improve the quality of life for seniors. David and Scott are leading the way in this field, by applying Artificial Intelligence to tackle the challenges faced by older adults and their caregivers.Topics include:0:00 Scott's tech journey improving lives, inspired by his elderly mother3:17 David's journey from farming roots to global security and elder care8:53 Promoting independence, connection and self-esteem for seniors13:06 Empowering elderly independence with tech and healthcare partnerships16:57 Designing simple tech empowering wise, loyal older users19:24 Use case of how their tech helps elderly live and die with dignity22:54 Passionately curing loneliness by reconnecting isolated seniors27:42 How AI enhances care, efficiency and human connection seamlessly29:08 Enabling predictive care, efficiency and language translation
Mourn your sin. Dance in grace. Join the community. Be sent in love. This is how you cultivate a lasting, passionate heart for God's mission.
Today I'm joined by the one and only Click Thompson, three-time PRCA Photographer of the Year, creative powerhouse, and someone who's helping shape the future of Western sports through a lens of trust, grit, and storytelling. Click's journey is anything but typical. Originally from Virginia and a former Department of Defense employee, he left a stable government job to chase something most people couldn't understand: rodeo photography. From the bright lights of the NFR to the quiet, behind-the-scenes moments most people never see, Click has documented rodeo with purpose and passion. And he's only just getting started. In this episode, we talk about falling in love with the process, the reality of “overnight success,” and what it really takes to build a creative career in the Western industry. Click shares how obsession with your craft (not just your subject) is key, why the Western industry thrives on relationships, and how staying committed when no one's watching changes everything. Whether you're a photographer, entrepreneur, or just someone grinding toward your goals—this one's a masterclass in resilience, storytelling, and heart. Resources & Links: The Creative Act: A Way of Being by Rick Rubin Join The Directory Of The West Get our FREE resource for Writing a Strong Job Description Get our FREE resource for Making the Most of Your Internship Email us at hello@ofthewest.co Join the Of The West Email List List your jobs on Of The West Connect with Click: Follow on Instagram @clickthompson Follow on Facebook @clickt Visit his website Connect with Jessie: Follow on Instagram @ofthewest.co and @mrsjjarv Follow on Facebook @jobsofthewest Check out the Of The West website Be sure to subscribe/follow the show so you never miss an episode! Learn more about your ad choices. Visit megaphone.fm/adchoices
Holly's Top 5 CliftonStrengths are: Developer, Connectedness, Relator, Achiever and Adaptability Holly first visited Pader, Uganda in 2013. when she felt an immediate connection and a call from God to help the women restart their lives after a 20-year war in Northern Uganda. She founded the Non Profit The Women Of Pader Uganda to help provide a variety of programs and projects with goals of brining hope healing and empowerment to the women and community with a foundation in Christ and intentional relationships. She travels to Pader three times a year with groups to come alongside these women in various ways. Holly lives in Austin, Texas and is a wife, mother to two adult sons and joyful grandmother to 4 sweet children. You can learn about The Women of Pader Uganda here. Follow what they are doing on Instgram or Facebook. Find out your strengths by taking the CliftonStrengths Top 5 Assessment Workshops and Coaching with Barbara Culwell Subscribe & Leave a Review on Embrace Your Strengths
Send us a textChad Link is a pouring out of emotion! He'll sing you through a tangle of lyrics about struggle and love! Passionately indulging his creativities and deep diving into soulful music. His originals traverse multiple genres from singer songwriter, rock, and progressive loops that blend acoustic percussion with electric guitar improvisation. Born and raised in small town Illinois with a sound as big as the River!! Support the showPodcast edited by Paul Martin.Theme song courtesy of M&R Rush.www.rocknrollchicagopodcast.com
The Nats had another 9th inning rally that came up short in Saturday afternoon's 4-3 loss to the Marlins. Mark & Al have a lot to react to after the 7th consecutive defeat and give blunt assessments on the State of the Rebuild.(11:45) Davey Martinez made an empassioned plea about his coaching staff in his postgame press conference. Martinez made news by saying "It's never on the coaches" in response to a question by the Washington Post. Did Davey throw his players "under the bus" within his postgame comments?(21:00) Mark asked veteran Josh Bell for his response to the comments by Martinez. The hosts examine his answer that seemed to not include a direct show of support.(25:00) Washington trailed 4-1 entering the bottom of the 9th and came 90 feet shy of tying the game. Jacob Young was brought in as a pinch-runner, but questionably did not tag from 3rd on Amed Rosario's flyout to LF. Important to keep in mind that James Wood was on-deck in the situation.(31:10) Trevor Williams had a solid outing and allowed only a pair of Miami runs. Williams has made 14 starts this season and his ERA sits at 5.71.(33:40) Luis Garcia Jr. made a crucial error in the top of the 8th when he dropped a seemingly routine fly ball. His poor defense this season is put under the microscope as he ranks among the worst 2Bs thus far.(39:30) MacKenzie Gore takes the mound on Father's Day afternoon to try and end the team's skid. Gore currently trails only Boston's Garrett Crochet for the most strikeouts in MLB.
This week's guest on Podbean Amplified is Jesse Zhan from the Rooftop Podcast. He shares what it is like to juggle a successful podcast and be an entrepreneur and finishing his PHD. Tune in! You won't want to miss this one.
In this episode, we sit down at the table with Chocolatier and Pastry Chef Priya Winsor, founder and owner of Compass Chocolates in St. Albert, Alberta. Priya is passionate about creating artisanal, handcrafted chocolates using the finest ingredients and techniques. We explore her journey from the early days of chocolate-making to building a successful business that has become a local favourite.Priya is committed to sourcing only sustainably grown and harvested cocoa, ensuring fair trade practices for the workers behind the beans. She shares her insights into the artistry of chocolate, her dedication to ethical sourcing, and how she combines creativity with quality in every bite. With flavours from home and around the world, she explores ingredients and their origins, bringing unique tastes to her handcrafted confections.Unwrap the story with us to discover the process behind making exquisite chocolates, the challenges and rewards of running a small artisanal business, and how Compass Chocolates has earned a reputation for producing some of the finest handcrafted treats.Join me for this podcast. Take a break. Listen in.A xx
Pastor Kevin DeYoung is back again with another explainer video. This one is on the doctrine of impassibility. I got far too many requests from you nerds asking me to do another response episode. We will figure out if DeYoung is clearly Reformed or passionately confused. CreditsHost: R.T. Mullins (PhD, University of St Andrews; Dr. Habil. University of Helsinki) is a lecturer and researcher at the University of Lucerne, a visiting professor of philosophy at Palm Beach Atlantic University, and a docent of dogmatics at the University of Helsinki.Music by Rockandmetal_domination – Raising-questions.rtmullins.comSupport the Show:https://www.patreon.com/user?u=66431474https://ko-fi.com/rtmullins
Welcome to a Wide World of Sports update. A snapshot of the latest sport stories from the 9News team including: Huge blow for Newcastle ahead of tonight's game Western Bulldogs coach passionately defends his players Mitchell Starc confirms he won't be returning to the postponed IPL The biggest sport stories in less than 5 minutes delivered twice a day, with reports from the 9News team across Australia and overseas. Subscribe now to make it part of your daily news diet.See omnystudio.com/listener for privacy information.
Welcome to a Wide World of Sports update. A snapshot of the latest sport stories from the 9News team including: Huge blow for Newcastle ahead of tonight's game Western Bulldogs coach passionately defends his players Mitchell Starc confirms he won't be returning to the postponed IPL The biggest sport stories in less than 5 minutes delivered twice a day, with reports from the 9News team across Australia and overseas. Subscribe now to make it part of your daily news diet.See omnystudio.com/listener for privacy information.
Welcome to a Wide World of Sports update. A snapshot of the latest sport stories from the 9News team including: Huge blow for Newcastle ahead of tonight's game Western Bulldogs coach passionately defends his players Mitchell Starc confirms he won't be returning to the postponed IPL The biggest sport stories in less than 5 minutes delivered twice a day, with reports from the 9News team across Australia and overseas. Subscribe now to make it part of your daily news diet.See omnystudio.com/listener for privacy information.
Listen To Full Sermon: "Seeking His Righteousness" @ St. Mary Coptic Orthodox Church - Phoenix (Peoria), AZ ~ March 2, 2025 https://on.soundcloud.com/PzcGFnXnzVGMa5n58
The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.
The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.
The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.
If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What
Episode 118In this episode, we dive into Luke 11:1–13, where Jesus responds to His disciples' heartfelt request: “Lord, teach us to pray.” Together, we explore how Jesus' model prayer goes beyond routine words to reveal a powerful pattern for passionate and effective communion with God. We'll uncover the boldness, persistence, and trust that mark true prayer, and learn how to approach our Father with confidence, knowing He delights in giving good gifts. Whether you're new to prayer or seeking to reignite your prayer life, this episode will guide you toward deeper, more dynamic conversations with God.Original Sermon: https://www.sermonaudio.com/sermons/31725238226032Find our videocast here: https://youtu.be/Lcy9vGxT7a4Music from #Uppbeat (free for Creators!):https://uppbeat.io/t/reakt-music/deep-stoneLicense code: 2QZOZ2YHZ5UTE7C8Find more Take 2 Theology content at https://take2pod.wordpress.com/
Sarah Howard joins Morning Light today during our weekly "Passionately Pro-Life" segment, sharing her thoughts on the classic novel "Frankenstein." How can a story that is more than 200 years old teach us a pro-life lesson in modern times? Tune in and learn more!
Tiki makes the case that the Giants have to make a decision regardless on Stafford
Welcome to this episode of 20/20 Money! My guest on today's show is Dr. Leigha Nielson, OD FOVDR, founder of High 5 Vision Development in New Braunfels, TX. Leigha joins me on the show to talk about how she's created both a successful practice and a life she loves—personally and professionally—through a vision-therapy focused practice. She talks about her journey as a practice owner under the TSO (Texas State Optical) brand and how she transitioned to her own stand-alone practice and why she made the commitment to to change. She also shares the details about the operations of her practice—from the pricing discount she provides to patients that pay all in full to how she thinks about leverage and return-on-investment with the team that supports the care provided to patients, Leigha is very transparent about how she's made her practice profitable while also not compromising her passion for vision therapy. As a reminder, you can get all the information discussed in today's conversation by visiting our website at integratedpwm.com and clicking on the Learning Center. While there, be sure to subscribe to our monthly “planning life on purpose” newsletter that's filled with tips and ideas to help you plan your best life, on purpose. You can also set up a Triage conversation to learn a little bit more about how we serve in the capacity of a personal and professional CFO: helping OD practice owners around the country reduce their tax bill, proactively manage cash flow, and make prudent investment decisions both in and out of their practice to ultimately help them live their best life on purpose. If you're interested in learning more about the 20/20 Money Financial Success Masterclass, a course & platform that we created to help ODs become “brilliant at the financial basics,” please check out the link in the show notes of this episode to learn more. And with that introduction, I hope you enjoy my conversation with Dr. Leigha Nielsen, OD, FOVDR. OD Masterminds™ Information Request Resources: 20/20 Money Membership Information Episode #256: Successful Implementation of VT in your practice with Dr. Heidi Bell OVDRA Cherry Financing Emergent VT Training Platform for Vision Therapists ————————————————————————————— Please rate and subscribe to 20/20 Money on these platforms Apple Podcasts Spotify Google Podcasts Stitcher ————————————————————————————— For past episodes of 20/20 Money with full companion show notes, please check out our episode archive here!
During our weekly "Passionately Pro-Life" segment, Jacqueline Wakefield joins Morning Light on the topic: What the media, and those attacking Idaho's abortion law, fail to tell you. After sharing Idaho's abortion challenges and statistics, she does some myth busting because pro-abortion advocates claim that changes are needed because: Idaho's abortion law is causing a physician desert, doctors are confused and fear prosecution, Idaho's abortion law is hurting women and causing hospitals to close.
Morning Light talks with Dr. Christina Francis, keynote speaker for the upcoming Boise March for Life, this Saturday at 1:30pm on the steps of the Idaho Statehouse.
Worship is a humble submission to the majesty of God. We worship Christ because only he is truly worthy. Only Christ makes everything right. Where do you go? Jesus is everything! Sermon by: Pastor Adam ------------ You are welcome and loved by the Lord and His Church! ------------ If you need prayer or help, please reach out to us! We are a church that desires to follow Jesus and seek His Kingdom as one body together in Him through loving Him with all we have and loving others. In all we do, we seek to... worship the Lord passionately, connect authentically, grow to know the Lord deeply, and go and share the gospel boldly as One Body in Christ. Maybe the Lord has brought you to this message for a reason. "And Jesus came and said to them, “All authority in heaven and on earth has been given to me. Go therefore and make disciples of all nations, baptizing them in the name of the Father and of the Son and of the Holy Spirit, teaching them to observe all that I have commanded you. And behold, I am with you always, to the end of the age." -Matthew 28:18-20
God is actively looking and seeking out those whose heart is perfect, loyal, and at peace with him to show himself strong on their behalf. We consider together where can we find the heart of God? We find the heart of God, in Christ, in his word, in his house, and among his pastors. We […]
Destiny Christian Center January 12, 2024 Passionately Pursuing, Pastors Lawrence & Tracy Neisent destinyokc.com
ONE THING Live passionately here and now, but not for the here and now! Trust in the Lord with all your heart; do not depend on your own understanding. Seek his will in all you do, and he will show you which path to take. – Proverbs 3:5-6 (NLT)
Worship Service
Lulu Reynolds was having a torrid affair with her music teacher. Her husband was an ex-Cavalry scout who carried a .38 in his jacket pocket. It wasn't the kind of thing that usually ends well. It didn't. (Portland, Multnomah County; 1900s) (For text and pictures, see https://offbeatoregon.com/1308c-reynolds-love-triangle-kissing-the-corpse.html)
Click Here to ask your book writing and publishing questions!Have you ever imagined trading a stable career for the unpredictability of writing and publishing? That's exactly what Patti Hall did, transitioning from urban design to becoming a full-time writer and publishing strategist. Patti and I dive deep into the kind of personal transformation that makes most people's comfort zones quake. Her journey isn't just a career shift—it's a masterclass in resilience, triggered by her son's diagnosis with gigantism and propelled by an unwavering commitment to storytelling that matters.Our conversation takes a candid look at the realities of traditional publishing. And, as we explore the myths surrounding bestseller status, we underscore the importance of writing with a purpose and focusing on genuine connections with specific communities rather than chasing commercial success. Buckle up for an episode that's part hilarious writing room confessional, part vulnerable heart-to-heart. We're talking editing battles, narrative vulnerability, and those magical moments when personal story intersects with universal truth. Let's get you published! PublishAProfitableBook.com/Publish (use code AUTHOR25 for 25% off!) MOCKUP SHOTS DEALI've used MockUp shots for years to create attention-grabbing images great for social media. It usually costs $207, but they're offering a 60% discount on lifetime access with lifetime updates. It's a great way to get an unheard-of price on a product that will make you money and that you will end up using all the time.Click Here for 60% off >>Write the Damn Book Already is a weekly podcast featuring interviews with authors as well as updates and insights on writing craft and the publishing industry. Available wherever podcasts are available: Apple PodcastsSpotify YouTube Let's Connect! InstagramWebsite Email the show: elizabeth [at] elizabethlyons [dot] comThe podcast is a proud affiliate partner of Bookshop, working to support local, independent bookstores.To see all the ways we can work together to get your book written and published, visit publishaprofitablebook.com/work-with-elizabeth
Notes and Links to Rus Bradburd's Work Rus Bradburd's latest book is the satirical novel, “Big Time.” Rus attended Chicago Public Schools for eleven years before graduating from North Park College. After coaching basketball for fourteen seasons at UTEP and New Mexico State University, he left the game to study with Robert Boswell and Antonya Nelson—and pursue a life in writing. His five books focus on the intersections of sport, social progress, politics, and race. Rus has remained connected to the game through his acclaimed Basketball in the Barrio summer program in El Paso, as well as serving as NMSU's television “color analyst.” He was awarded a Fulbright fellowship to return to Ireland to work on his next book about refugees in Belfast, “Almost Like Belonging.” An accomplished fiddle player, he lives in Chicago, Belfast, and New Mexico. Buy Big Time Rus Bradburd's Website At about 2:00, Rus gives background on his fiddle playing and his time as color commentator for New México State University At about 3:40, Rus talks about Big Time as his first work of fiction, as well as its nice timing, and he details how he worked on the book for many years At about 5:40, Rus outlines some of the book's exposition and plot, and talks about the current Colorado Football connections At about 6:40, Rus talks about Univ of Chicago's 1939 dropping of football and other stimuli for the book's genesis, including Rick Russo's work, and Dave Meggyesy's book At about 8:40, Rus talks about satire and fiction and ideas of how fiction often gets at truth so well At about 10:00, Rus gives more background on committee workloads and how the proliferation of committees and on particular example worked their ways into his book At about 12:25, Rus talks about normalization of budget imbalance in universities At about 13:30, Pete and Rus discuss the book's epigraph, and Ruis talks about how the book satirizes college athletics, while he's “knee-deep” in sports still At about 15:30, Pete details a compare and contrast lesson that he teaches At about 17:00, Rus responds to Pete's question about the book's opening and main characters Mooney and Braverman, history professors, working concessions at football games At about 18:40, Rus gives background on “pop poet” Layla, and the ways in which she and the two history professors work together; Rus connects today's conversations around student protests and protests in the book At about 20:30, Rus talks about the downfall of the Coors State English Department in the book At about 22:00, Rus cites the Missouri Football protest in fodder for a similar situation in his book At about 23:00, Rus speaks about rich owners often asking taxpayers to finance big building projects At about 24:20, Pete asks Rus about any inspirations for Layla, and he expands upon how the character evolved in his writing At about 27:50, Pete charts the roles and importance of some characters in the book At about 28:35, Rus discusses the financial costs and gains of big sport universities, and argues that the sporting program is taking away from education and educators At about 33:00, Rus talks about a flawed system that puts so much work and so little compensation for adjunct instructors and showcases much hypocrisy At about 35:00, Pete points out links between Braverman and Mooney's activism and civil rights movements, and Rus connects to the push and pull that governs his own thoughts with regards to activism At about 38:00, Rus talks about how the book's events are in many ways reminiscent of fractures on the political Left At about 40:25, Pete and Rus talk about NlL and how it relates to topics covered n the book, and whether/how NIL affected Rus' writing At about 44:00, Rus cites Dagoberto Gilb as an example of a writer who is successful while not being preachy, and how through satire, one can be a “little more message-heavy” At about 45:50, Rus responds to Pete's questions about satire and hyperbole and highlights how his writing the book made him love his characters At about 48:45, Pete asks Rus about doing dystopia in The Age of Trump, and Rus cites David Shields and a tantalizing book idea that is now obsolete At about 51:10, Pete wonders about Rus' thoughts on the frenzied rise of legalized sports gambling, and Rus talks about further normalization of formerly-”sacreligious” things like beer sales at college games At about 53:20, Rus cites Billy Lynn's Long Halftime Walk as an influence on his book and talks about using a real beer company's name At about 54:45, Pete compliments Rus' use of stream of consciousness At about 56:30, Rus shares out information on readings and book events coming up, including one with Beto O'Rourke, and contact and book buying information You can now subscribe to the podcast on Apple Podcasts, and leave me a five-star review. You can also ask for the podcast by name using Alexa, and find the pod on Stitcher, Spotify, and on Amazon Music. Follow me on IG, where I'm @chillsatwillpodcast, or on Twitter, where I'm @chillsatwillpo1. You can watch this and other episodes on YouTube-watch and subscribe to The Chills at Will Podcast Channel. Please subscribe to both my YouTube Channel and my podcast while you're checking out this episode. I am very excited to have one or two podcast episodes per month featured on the website of Chicago Review of Books. The audio will be posted, along with a written interview culled from the audio. A big thanks to Rachel León and Michael Welch at Chicago Review. Sign up now for The Chills at Will Podcast Patreon: it can be found at patreon.com/chillsatwillpodcastpeterriehl Check out the page that describes the benefits of a Patreon membership, including cool swag and bonus episodes. Thanks in advance for supporting my one-man show, my DIY podcast and my extensive reading, research, editing, and promoting to keep this independent podcast pumping out high-quality content! This month's Patreon bonus episode features segments from conversations with Jeff Pearlman, Matt Bell, F. Douglas Brown, Jorge Lacera, Jean Guererro, Rachel Yoder, and more, as they reflect on chill-inducing writers who have inspired their own work. I have added a $1 a month tier for “Well-Wishers” and Cheerleaders of the Show. This is a passion project of mine, a DIY operation, and I'd love for your help in promoting what I'm convinced is a unique and spirited look at an often-ignored art form. The intro song for The Chills at Will Podcast is “Wind Down” (Instrumental Version), and the other song played on this episode was “Hoops” (Instrumental)” by Matt Weidauer, and both songs are used through ArchesAudio.com. Please tune in for Episode 263 with Fernanda Trías, award-winning author of three novels and the short story collection No soñarás flores; awarded the National Uruguayan Literary Prize, The Critics' Choice Award Bartolomé Hidalgo, and Sor Juana Inés de la Cruz International Prize in Mexico for Pink Slime/Mugre Rosa. The episode goes live on November 26. Lastly, please go to ceasefiretoday.com, which features 10+ actions to help bring about Ceasefire in Gaza.
Sermon in a sentence: 'Freedom flows when we feel we are passionately loved despite what we see in the mirror."Action Steps:1. Sing. 2. Pray the Psalms. More verse references:Job 38:4–7Psalm 33:1Psalm 98:4Colossians 3:16
Sermon in a sentence: 'Freedom flows when we feel we are passionately loved despite what we see in the mirror."Action Steps:1. Sing. 2. Pray the Psalms. More verse references:Job 38:4–7Psalm 33:1Psalm 98:4Colossians 3:16
Dr. Mahdieh Parizi is a pioneer in women's healthcare at the VA, and she speaks with Dorothy about the introduction of patient self-scheduling for mammograms and the multifactorial approach to improving patient return rates. Parizi mentions hosting educational events for clinicians and patients to highlight the importance of regular screenings. Additionally, Parizi shares insights on balancing professional and personal responsibilities, advocating for regular mammograms despite mixed recommendations, and overcoming insurance hurdles. With 25,000 registered women veterans and expanded breast imaging clinics, Parizi highlights ongoing efforts to increase breast cancer screenings and early detection. Key Questions Answered 1.) What is the patient self-scheduling system and how does it benefit mammogram return rates? 2.) What multifactorial approach is used to improve mammogram return rates? 3. How has the COVID-19 pandemic affected late-stage cancer diagnoses? 4.) What are Community-Based Outpatient Clinics (CBOCs) and how do they improve access? 5.) What challenges does the VA healthcare system face in improving breast imaging programs? 6.) What should women advocate for regarding annual mammography starting at age 40? 7.) What role does patient navigation play in improving mammogram follow-ups? Timestamped Overview 00:00 Dr. Parizi innovates VA mammography care for veterans. 04:31 Working at The Rose: Compassionate nonprofit healthcare experience. 07:39 Passionately pioneered women veterans' healthcare program. 12:04 Clinic adapts processes for efficient, comprehensive care. 16:01 Expanding breast imaging for women veterans' outreach. 19:35 Creative strategies increased patient attendance post-decrease. 21:01 Patients self-schedule mammograms; education events aid. 25:53 Balancing motherhood and professional responsibilities' challenges. 28:17 Annual mammography from age 40 saves lives.See omnystudio.com/listener for privacy information.
Welcome back to the Kitchen!! Submit an anonymous story for our next episode, do so here: https://shorturl.at/ayNZ9 Follow us on instagram: https://www.instagram.com/runawayvows/ Follow our Education: https://www.instagram.com/runawayvowseducation/ Join our Facebook Community: https://www.facebook.com/groups/runawayweddings/ Get our Thru the Lens Course: https://www.thruthelens.io/ Our LUT Pack: https://gamut.io/product/prestige/?gamut=runawayvows (https://gamut.io/product/prestige/?gamut=runawayvows) Use code RUNAWAY for 15% off Our Course library: https://go.runawayvows.com/ Follow Jake: https://www.instagram.com/jakeweislerfilms/ Follow Nate: https://www.instagram.com/nateahanfilm/
The former ICE Director provides a searing evaluation on open border atrocities, factions supporting them, the shell game hiding illegal border entry numbers, our nation's ultimate disastrous fate if this continues. Trump returning as president is the only solution. Information for Tom Homan Websites: homelandstrategic.com; border911.com. Upcoming Podcasts: Dinesh D'Souza; Bianca de la Garza; A.F. […] The post Tom Homan Passionately Proclaims We Must Secure Our Borders And Reelect President Donald Trump appeared first on Radio Influence.
My guest in this episode is Don Wenner. Don Wenner is the Founder & CEO of DLP Capital, a private real estate investment and financial services company focused on making an IMPACT by acquiring, developing, and building relationships, housing, leaders, and organizations. DLP Capital has many business divisions and companies, including lending, investment funds, sales, leasing, property management, construction management, development, and loan servicing. DLP's purpose is Dream. Live. Prosper. Passionately creating prosperity and making an impact by investing in communities. Don is highly experienced in all facets of housing and in scaling high-growth entrepreneurial companies through the utilization of the DLP Elite Execution System, for which DLP has been ranked in the Inc. 5000 fastest-growing companies in the U.S. for a remarkable ten consecutive years. Since DLP's founding in 2006, Don has closed more than 27,000 real estate transactions totaling more than $9 billion. He has built a successful track record of generating consistent profits in all market conditions and cycles. With over $4.5 billion in assets under management, DLP's portfolio includes more than 14,000 apartments and homes located primarily throughout the south and northeast areas of the country, as well as a portfolio of more than 500 real estate loans, originating to active real estate investors. Interview Links: DLP Capital https://dlpcapital.com/ Subscribe To Our Weekly Newsletter: The Wealth Dojo: https://subscribe.wealthdojo.ai/ Download all the Niches Trilogy Books: The 21 Best Cashflow Niches Digital: https://www.cashflowninjaprograms.com/the-21-best-cashflow-niches-book Audio: https://podcasters.spotify.com/pod/show/21-best-cashflow-niches The 21 Most Unique Cashflow Niches Digital: https://www.cashflowninjaprograms.com/the-21-most-unique-cashflow-niches Audio: https://podcasters.spotify.com/pod/show/21-most-unique-niches The 21 Best Cash Growth Niches Digital: https://www.cashflowninjaprograms.com/the-21-best-cash-growth-niches Audio: https://podcasters.spotify.com/pod/show/21-cash-growth-niches The 21 Next Level Cashflow Niches Digital: https://www.cashflowninjaprograms.com/the-21-next-level-cashflow-niches-book-free-download Audio: https://podcasters.spotify.com/pod/show/the-21-next-level-niches Listen To Cashflow Ninja Podcasts: Cashflow Ninja https://podcasters.spotify.com/pod/show/cashflowninja Cashflow Investing Secrets https://podcasters.spotify.com/pod/show/cashflowinvestingsecrets Cashflow Ninja Banking https://podcasters.spotify.com/pod/show/cashflow-ninja-banking Connect With Us: Website: http://cashflowninja.com Podcast: http://resetinvestingsecrets.com Podcast: http://cashflowinvestingsecrets.com Podcast: http://cashflowninjabanking.com Substack: https://mclaubscher.substack.com/ Amazon Audible: https://a.co/d/1xfM1Vx Amazon Audible: https://a.co/d/aGzudX0 Facebook: https://www.facebook.com/cashflowninja/ Twitter: https://twitter.com/mclaubscher Instagram: https://www.instagram.com/thecashflowninja/ TikTok: https://www.tiktok.com/@cashflowninja Linkedin: https://www.linkedin.com/in/mclaubscher/ Gab: https://gab.com/cashflowninja Youtube: http://www.youtube.com/c/Cashflowninja Rumble: https://rumble.com/c/c-329875
In today's episode, the Faith to Go team is joined by our bishop diocesan, The Rt. Rev. Dr. Susan Brown Snook, to talk about this story of Lazarus. The team moves through the reality of human emotions during grief.Click here to learn more about Bishop Susan's work with our migration ministries.Passionately in Love with God by Henri NouwenAll the great saints in history about whom I have read have been people who were so passionately in love with God that they were completely free to love other people in a deep, affective way, without any strings attached. True charity is gratuitous love, a love that gives gratuitously and receives gratuitously. It is following the first commandment that asks us to give everything we have to God and that makes the second commandment truly possible...Today's Resources:https://brenebrown.com/book/atlas-of-the-heart/https://henrinouwen.org/Faith to Go is a ministry of The Episcopal Diocese of San Diego. Click here to learn more about EDSD's great work in our region and how you can support this ministry.Remember to get in contact with us!Email: faithtogo@edsd.orgInstagram: @faithtogo
In this message by Brian Butler from our Lakeland campus titled "Passively or Passionately", Brian shares 3 ways to passionately advance the Kingdom of God.
Our memories serve as time stamps of life's joyful moments and challenging triumphs. Today's guest Dorian Jackson shares how a memory from the age of four made her a proponent for change, personal integrity, and living on purpose. In today's episode, Dorian shares how the Lord's whisper prepared her for her second career in the political realm. The memory of a prophetic word at the age of 17 shifted her awareness and motivated her to be a voice for the people with a strong message of equal opportunities and community awareness. I hope your takeaway from Dorian's episode provokes you to be intentional in your life's purpose and choices as you too may one day be led to be a voice for the voiceless.Want to connect?www.jackson4weho.poliengine.comIG: dorian4weho
The vision of “man fully alive” involves a man motivated by faith, hope, and love. And the greatest of these, St. Paul tells us, is love. Our guest today, Mr. Tom Steenson, is a long-time teacher of the Heights fifth grade and also the upper school class History of Western Thought. He brings his experience and broad readings to bear on the question: How can we impart lessons of authentic love to rambunctious twenty-first century boys in a way they'll actually internalize? Tom's practical ideas span younger and older students, framing the endeavor as forming the boys for love by love. Chapters: 2:47 Teaching love to younger students 6:11 Teaching love to upper school students 11:26 Turning self-focus into self-knowledge 16:20 Images of love in the curriculum 19:36 Love and masculinity 23:47 Love in imitation of God 26:06 Passionately loving the world 31:00 Faith, hope, love: the greatest is love 34:46 Affirmation of their goodness Links: Augustine's Confessions translated by F. J. Sheed Phaedo by Plato Featured Opportunities: The Art of Teaching Conference at The Heights School (November 13-15, 2024) Also on the Forum: The Man Fully Alive: On Our Vision featuring Alvaro de Vicente
Don Wenner is the Founder & CEO of DLP Capital, a private real estate investment and financial services company focused on making an IMPACT by acquiring, developing, and building relationships, housing, leaders, and organizations. DLP Capital has an expansive array of business divisions and companies including lending, investment funds, sales, leasing, property management, construction management, development, and loan servicing. DLP's purpose is Dream. Live. Prosper. Passionately creating prosperity and making an impact by investing in communities. Highlights: 16 years leading DLP Capital - An investment management company with $4 Billion in AUM Inc. 5000 fastest growing companies - 10 straight years Closed more than 27,000 real estate transactions totaling over $9 Billion Acquired more than 25,000 homes & apartments for over $4.5 Billion Funded more than $4.5 Billion in loans Bestselling author of Building an Elite Organization HIGHLIGHTS IN THIS SHOW: 00:00 - Intro 01:23 - Don's Background 05:21 - Impact Equity Ad 06:55 - Mindset 10:28 - Core Values 18:56 - DLP Capital 22:37 - Attainable Housing 30:02 - Offerings 32:44 - Mindset 37:49 - Final Thoughts CONNECT WITH OUR GUEST: https://dlpcapital.com/ CONNECT WITH OUR HOST: Connect with our host, Randy Smith, for more educational content or to discuss investment opportunities in the real estate syndication space at www.impactequity.net, https://www.linkedin.com/in/randallsmith or on Instagram at @randysmithinvestor ---------------------------------- Follow us on social media @the.gentle.art.of.crushing.it Listen, like, subscribe, comment: http://thegentleartofcrushingit.com/
In this episode of The Cordial Catholic, I'm joined by Cameron Riecker, a Catholic apologist, speaker, and YouTuber to share his thoughts on a variety of topics including discernment, evangelizing our Protestant brothers and sisters, common Evangelical misunderstandings of Catholicism, Mary's role in the Church, and much more. It's a great conversation and Cameron is a phenomenal apologist and a wonderful guy!For more from Cameron check out his YouTube channel and make sure to subscribe while you're there!Send your feedback to cordialcatholic@gmail.com. Sign up for our newsletter for my reflections on episodes, behind-the-scenes content, and exclusive contests.To watch this and other episodes please visit (and subscribe to!) our YouTube channel.Please consider financially supporting this show! For more information visit the Patreon page. All patrons receive access to exclusive content and if you can give $5/mo or more you'll also be entered into monthly draws for fantastic books hand-picked by me.If you'd like to give a one-time donation to The Cordial Catholic, you can visit the PayPal page.Thank you to those already supporting the show! This show is brought to you in a special way by our Patron Co-Producers. Thanks to Eli and Tom, Kelvin and Susan, Stephen, Victor and Susanne, Phil, Noah, Nicole, Michelle, Jordan, Jon, James, Gina, and Eyram.Support the Show.Find and follow The Cordial Catholic on social media:Instagram: @cordialcatholicTwitter: @cordialcatholicYouTube: /thecordialcatholicFacebook: The Cordial CatholicTikTok: @cordialcatholic
At 8:30am on Monday 12th of November 1923, in the nursery of Flat 1 of West Kensington Mansions in Fulham, the bodies of Sonia Katzman aged four, and her 10 month old sister Jean were found, along side their nursemaid Dora Sadler. Dora loved Sonia, but did she love her too much?Murder Mile is researched, written and performed by Michael of Murder Mile UK True Crime Podcast with the main musical themes written and performed by Erik Stein and Jon Boux of Cult With No Name and additional music, as used under the Creative Commons License 4.0. A full listing of tracks used and a full transcript for each episode is listed here and a legal disclaimer.For links click hereTo subscribe via Patreon, click here CLICK for TICKETS to the British True Crime Convention, Saturday 7th September 2024 (Sheffield)Support this show http://supporter.acast.com/murdermile. Hosted on Acast. See acast.com/privacy for more information.
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