Podcasts about vested

In this seventh episode of the “Buy: The Way…To Purposeful Procurement” podcast series, Art of Procurement's Philip Ideson and Fine Tune CEO Rich Ham take a deep dive into procurement history with Kate Vitasek, Faculty of Graduate and Executive Education at the University of Tennessee, and architect of the groundbreaking Vested methodology.  With over 15 years of research and eight books dedicated to buyer-supplier strategic partnerships, Kate shares her insight into how procurement has traditionally tended to extract value from suppliers through power plays, as opposed to creating value through collaboration and alignment around mutually ‘Vested' interests. She traces the historical roots of this dysfunction back to the 1980s with the rise of the Kraljic Matrix and Michael Porter's competitive strategies, both of which further embedded power-based negotiations into procurement's DNA. Drawing inspiration from the Vested approach, Kate:  Advocates for moving away from transaction-based buyer-seller relationships to outcome-based strategic partnerships where both parties have a genuine vested interest in one another's mutual success, and  Explains this dynamic by sharing examples of organizations that have transformed their supplier relationships by transforming how they measure success, structure contracts, and distribute value across their supplier network. This episode challenges procurement to recognize when they're spinning their wheels with outdated supplier management tactics and encourages them to reimagine what's possible when buyers and suppliers align their interests toward genuine value creation and purpose-driven procurement. Links: Kate Vitasek on LinkedIn Rich Ham on LinkedIn Learn more at FineTuneUs.com  

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

Economia Underground, um podcast institucionalista.Neste episódio temos o prazer e a honra de receber nosso querido amigo e cobaia deste podcast, prof. Roberto Simiqueli. Prof. Simiqueli vai nos ajudar a compreender e debater as loucuras conspiratórias à luz da teoria institucionalista.Referências e links:A Dakila Pesquisas e as licenças de pesquisas arqueológicasDossiê disponibilizado pela Sociedade de Arqueologia Brasileira (18.05.2024)https://www.sabnet.org/informativo/view?TIPO=1&ID_INFORMATIVO=1211Prof. Dr. Artur Henrique Franco BarcelosUm levantamento minucioso das operações do Projeto Portal e do Ecossistema Dákila, suas tratativas com o IPHAN, penetração no governo Bolsonaro, posicionamento e influência política. Esta é a fonte mais apurada de informações academicamente balizadas sobre as mentes responsáveis pelo ET Bilú, a Teoria da Terra Convexa (sim, também tem essa) e Ratanabá.The Chicago Center for Contemporary Theoryhttps://ccct.uchicago.edu/Centro de pesquisas interdisciplinar da Universidade de Chicago, dedicado ao estudo de temas candentes de teoria política e social contemporâneas.Produção no tema:O centro se pautou pela realização de cursos e oficinas destinados à discussão de teorias da conspiração, seu estudo e impactos no imaginário e na prática política contemporânea. Os principais resultados são o seminário Conspiracy/Theory e o livro decorrente do evento.https://uchicago3ct.wixsite.com/conspiracytheory - página do evento, com relação dos participantes e dos temas discutidoshttps://www.dukeupress.edu/conspiracy-theory - livro resultante do esforço coletivo de pesquisa sobre teorias da conspiração, de mesmo título.Conspíracy and PowerDonatella di Cesarehttps://www.deslegte.com/conspiracy-and-power-3549699/Estudo apurado sobre teorias da conspiração na contemporaneidade, mencionado pelo Manuel Ramon em um dado momento da conversa.FOIL, de Weird Al Yankovichttps://www.youtube.com/watch?v=urglg3WimHA&pp=ygUWZm9pbCB3ZWlyZCBhbCB5YW5rb3ZpYw%3D%3DUma paródia de Royals, da cantora neozelandesa Lorde, elaborada pelo comediante estadunidense Weird Al Yankovic. É claro que é uma recomendação cômica, mas que acho que sumariza muito bem as vias peculiares de entrada de teorias da conspiração no discurso político contemporâneoNos siga no Instagram: @economiaunderground

In this episode of The Open Door, panelists Thomas Storck, Andrew Sorokowski, and Christopher Zehnder interview Hyrum Lewis on the Left/Right Binary. Can you explain the thesis of your book? Why do you speak of the Left and Right as being a myth?How did you come to see through the Left/Right binary? Given some of the obvious counter-examples to the prevailing narrative, why is it so established and powerful? Intellectual laziness? Vested interests?  cf. p. 64ff.Is part of the problem the fact that political scientists, by and large, do not see themselves as concerned with ideas as such, but with political behavior and data as raw material for scientific analysis, much like chemists studying the reactions of chemical elements?Are you familiar with the Nolan chart? https://en.wikipedia.org/wiki/Nolan_Chart   Do you see that as much of an improvement?If we are to make use of any kind of political typologies, how do we deal with the fact that people can hold similar or identical views on the same issue but for very different reasons? Cf. pp. 63, 88ff.Does it make sense, in your opinion, to speak more in terms of broad philosophic-political movements and perhaps with those movements we could speak of left or right? E.g., socialism, fascism, classical liberalism, etc.As American politics descends into a battle of anger and hostility between two groups called "left" and "right," people increasingly ask: What is the essential difference between these two ideological groups? In The Myth of Left and Right, Hyrum Lewis and Verlan Lewis provide the surprising answer: nothing. As the authors argue, there is no enduring philosophy, disposition, or essence uniting the various positions associated with the liberal and conservative ideologies of today. Far from being an eternal dividing line of American politics, the political spectrum came to the United States in the 1920s and, since then, left and right have evolved in so many unpredictable and even contradictory ways that there is currently nothing other than tribal loyalty holding together the many disparate positions that fly under the banners of "liberal" and "conservative." Powerfully argued and cutting against the grain of most scholarship on polarization in America, this book shows why the idea that the political spectrum measures deeply held worldviews is the central political myth of our time and a major cause of the confusion and vitriol that characterize public discourse.https://www.amazon.com/Myth-Left-Right-Verlan-Lewis/dp/0197680623

For this  interview, I am talking with Tara Pratt of TaraPinLynne Intuitive Energetics. She believes in working with her clients as a conduit of pure love + light to support them on their own healing journey. Our conversation flows from Tara's own story of, “bringing herself back to herself” in self-love + -trust, to how living from her own intuition has healed relationships + brought vast opportunities to her life. We also dive more into what Reiki is + what to expect during a session, including some of Tara's very own aura sprays! Find Tara at TaraPinLynne Intuitive Energetics at tarapinlynne.comHer Vibrant Living inspirations include:Mercedes Leahy at She is Vested, sheisvested.comHannah Talbot, Anam Cara Healing Center, anamcarahealing.centerKitara Johnson-Jones, Community Education and Empowerment Center, kitarajohnson.comEvie Fatz, Copow (colorful + powerful) Food, copow.comFind me, +  the episode, either audio or video, through my website gemmapuddy.com. I would greatly appreciate it, if you would share + like the episodes so that more people can be inspired. And remember you can always watch these conversations on my YouTube Channel. Are you craving to break through into a new way of thinking, feeling + living in the world? To move into the more aligned + vibrant version of you?! I'd LOVE to take that journey with you! Visit my website, gemmapuddy.com, or DM me through any one of my channels. Sending all the love, light and vibrancy!Be sure to sign up for my newsletter at www.gemmapuddy.com, watch my videos on YouTube @vibrantlivingwithgemma, + follow me on IG @vibrantlivingwithgemma + @vibrantliving_conversations for my programs + more tips on living fully from your own power! Sending all the love, light + vibrancy!GemmaLIFE COACH. I am vibrant. I am worthy. I am free. I am me.

Today we open with news from over the weekend of the fall of the USAID. Elon Musk and the DOGE team have rammed a dagger into the very heart of the monetary beast of the Deep State. There was and still is much wailing and gnashing of teeth over it. What's amazing is how the Legacy/mainstream media still can't figure out how to derail Trump and his agenda. We spend time looking at all we've learned about the slush fund that is the USAID and how it has roots going back for years as a front for off-the-books intelligence operations. But, it looks like those tactics and operations were also used inside the United States against we the people. There are ties to COVID-19, and to Bill “The Kickball Kid” Kristol and the Episcopal Bishop who tried to personally scold Trump. The Deep State is trying to figure out how to still “leak” information to their willing accomplices in the Legacy/mainstream media without getting caught. Musk's response is simply to say, “When in doubt, you are out.” JD Vance described the tariff situation perfectly over the weekend. And, while the Democrats tried to demonize the move and use their same old “fear porn” playbook, their antics turn into curdled milk left in the hot sun. The Panamanian President has already acquiesced, saying they are going to fix the Panama Canal issue, Pierre Poilievre demonstrates how pathetic Trudeau has been and continues to be and Margaret Brennan gets embarrassed again on her Sunday show. The perfect capstone to the hypocrisy of the Left, after their long DNC meeting where they show us they have learned nothing, decide to elect two white males to lead them into the next election cycle – one of them being the soy boy lightweight himself, David Hogg. I truly hope they never figure out what they keep doing wrong, because I still haven't gotten tired of winning. Please take a moment to rate and review the show and then share the episode on social media. You can find me on Facebook, X, Instagram, GETTR and TRUTH Social by searching for The Alan Sanders Show. And, consider becoming a sponsor of the show by visiting my Patreon page!!

I have a vested pension from a previous career path that I can cash out now, or I can take the monthly payment once I reach retirement age. Which is the better option? Have a money question? Email us here Subscribe to Jill on Money LIVE YouTube: @jillonmoney Instagram: @jillonmoney Twitter: @jillonmoney "Jill on Money" theme music is by Joel Goodman, www.joelgoodman.com. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Dan Nathan and Guy Adami kick off this episode of the 'On The Tape' podcast with a discussion on the frosty New York weather before diving into key financial events. They cover Donald Trump's AI initiative with Larry Ellison, Masa Son, and Sam Altman, dubbed 'Stargate,' pledging $500 billion toward AI infrastructure in the U.S. They discuss the market's reaction, exploring adjacent tech stocks and the seemingly overhyped announcement. The duo also reviews notable earnings from Netflix and the implications of its all-time high stock performance, followed by conversations on new executive orders, Trump's stance on TikTok, and pending tariffs. They emphasize Jamie Dimon's views on inflated asset prices and give advice to listeners on handling market uncertainty, drawing on historical and contemporary contexts. Subscribe to our newsletter: https://riskreversalmedia.beehiiv.com/subscribe — About the Show: On The Tape is a weekly podcast with CNBC Fast Money's Guy Adami, Dan Nathan and Danny Moses. They're offering takes on the biggest market-moving headlines of the week, trade ideas, in-depth analysis, tips and advice. Each episode, they are joined by prominent Wall Street participants to help viewers make smarter investment decisions. Bear market, bull market, recession, inflation or deflation… we're here to help guide your portfolio into the green. Risk Reversal brings you years of experience from former Wall Street insiders trading stocks to experts in the commodity market. — Check out our show notes here See what adding futures can do for you at cmegroup.com/onthetape. — Shoot us an email at OnTheTape@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OnTheTapePod on Twitter or @riskreversalmedia on Threads — We're on social: Follow @GuyAdami on Twitter Follow Danny Moses @DMoses34 on Twitter Follow Liz Thomas @LizThomasStrat on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.

Did Ryan Muckenhirn flip-flop his personal position on the puffy vest? Is he heavily invested in the puffy vest platform? Is he getting down with the down vest? Does he admit Mark Boardman has been right all along? Tune in to hear about his journey into the world of warm core, arms free, active insulation.As always, we want to hear your feedback! Let us know if there are any topics you'd like covered on the Vortex Nation™ podcast by asking us on Instagram @vortexnationpodcast

How can we work more collaboratively with our colleagues, vendors and others in business?In this episode of Anxiety at Work, Chester Elton and Adrian Gostick sit down with Kate Vitasek, international authority on collaborative business relationships, creator of the Vested business model, and leader of the University of Tennessee's research on strategic partnerships. Kate shares the groundbreaking principles of her "Vested" model, a framework that shifts business relationships from transactional to transformational. Learn how adopting a "What's in it for we?" mindset can reduce workplace anxiety, foster innovation, and build partnerships that thrive in challenging environments.What You'll Learn in This Episode:

Henrik Jarleskog, Head of Future of Work at Sodexo, shares his multinational perspective transforming workplace strategies, services, and experiences to enhance employee and business performance. Henrik explains the shift from building-centric to human-centric approaches. He describes facilitating implementation of wide-ranging future workplace strategies and systems, adapting for changing business, workforce, and cultural needs, for Sodexo's more than 400,000 employees worldwide. Henrik recognizes the critical flexible, social, and strategic imperatives of modern, distributed work, and models essential experimentation with AI promoting adoption and integration.       TAKEAWAYS   [02:12] Henrik studies mechanical engineering for its creativity, design, and business focus.   [03:29] The benefits of creativity in business for transformation and solving complex challenges.   [04:00] Henrik's early career focuses on data-driven decisions and performance improvement.   [05:26] 20 years ago, workplace strategies were building-centric.   [06:11] The integrated facilities management trend resulted in more strategic higher-level deals.   [08:04] Workplace solutions and experiences are tailored for cultural and regulatory differences.   [09:44] Outsourced facilities management contracts taught leadership and management running significant P&Ls.   [11:58] Henrik gains great experience becoming a consultant to learn the skillset and tool box.   [12:50] Vested partnerships focus on buying outcomes instead of transactions from a supplier.   [13:42] The collaborative benefits of a relational contract which is transparent.   [14:45] A Nordic airline achieves a vested transformation throughout the supply chain.   [17:00] Transformation requires vision clarity and aligned incentives, communication, and actions.   [18:12] In transparent strategic partnerships, agree critical business metrics together.   [20:45] Henrik works with Sodexo, then his new family encourages him to take their job offer.   [22:17] How management consulting roles involve substantial solutions selling.   [23:20] Henrik works hybrid, while holding three roles, transforming the Nordic businesses.   [24:29] When the pandemic strikes, Henrik builds a fully digital region of 16 countries.   [26:00] Providing sustainable food solutions with broader services as workplace experiences to corporations.   [28:05] Sodexo recognizes the pandemic's disruption, choosing to emerge as a thought leader.   [30:22] In employee surveys, preferences showed a huge shift in people's expectations.   [31:10] How Activity Based Working changed workplace dynamics in Europe 20 years ago.   [33:56] New work norms and generational preferences such as flexibility and choice.   [35:45] Henrik supports companies spanning models ranging full-time in office to fully flexible.   [36:35] Providing knowledge and data for Future of Work and workplace systems and strategies.   [38:15] Clients need ‘magnetic offices' supporting recruitment with great office-based experiences.   [39:31] Considering manufacturing site working experiences and the effect of monitoring.   [41:20] Building relationships and connection with social hubs to support collaboration.   [42:46] Two major structural changes: doing more with less and distributed work is here to stay.   [45:45] How do Fortune 500 companies' hybrid/flexible models affect their performance?   [46:55] Nostalgia rather than data mostly drive five-days-a-week RTO mandates.   [47:35] IMMEDIATE ACTION TIP:  To move your company forward effectively. One, your honor, people-centric, flexible journey. So ask your teams what's working for us and not. Two, ensure your work model aligns with the corporate mission. Three, design flexible, fantastic workplace experiences. Four, ensure everything is as sustainable as possible.   [50:13] How Henrik views AI, experimentation and AI Agents.   [54:10] Being a leading role model in using AI.   [52:10] The future of work requires empathy and human-centric focus.       RESOURCES   Henrik Jarleskog on LinkedIn Sodexo.com       QUOTES   “Distributed work is here to stay… it's not being hybrid, it's distributed work. And that trend is so strong that everything else about two or three days a week, being flexible or not is just a big distraction compared to that.”   “Zero of these Fortune 500 companies in the U.S. are full time in office. If you look at the same in Europe for the top 10, they are 100% hybrid…Is there a correlation between how flexible you are as an operating model and your business performance? This is becoming more and more focused on now over the last quarter.”   “I haven't still met one company who has decided to bring their people back to the office five days a week that transparently can show me the data that is building that decision. Mostly, these type of decisions are based on nostalgia and not data.”   “Leaders of this world are in different degrees ready for leading hybrid, for leading remote, or in different versions of whatever it can be, because this is a difficult thing. But data indicates that we are on a flexible journey.”   “If you look at the performance of the best and largest companies of this world…they have a people centric approach. They are asking their teams, their organizations, “What is working for us? How do you think we should be formalizing our next generation operating model?”

What are the top marketing and communications trends to look for in 2025? This Money 20/20 live session pairs two industry leaders: Binna Kim, Co-Founder and CEO of Group Vested and Amy Bonitatibus, PayPal's SVP, Chief Corporate Affairs & Communications Officer. Together they look at some success stories and what the industry's top storytellers can teach us.

In a series of podcasts taped live at 2024's Money 20/20 in Las Vegas, host Lou Carlozo brings you the latest from one of the premier financial services conferences in the world. In this episode, Kerry Mullen, Vice President at Vested, tackles subjects ranging from what fabulous financial PR looks like to the leadership role of women in fintech as on display at the conference. Disclosure: Lou Carlozo, the host of Bankadelic, is the fractional Editor in Chief of Qwoted, a platform operated by Vested.

This special NEXT.io episode brings Pierre Lindh together live with Benjie Cherniak and Lloyd Danzig for a powerhouse discussion on startup essentials.  From mastering fundraising and sidestepping common pitfalls to smart valuation tactics and navigating M&A, they share real-world insights every entrepreneur needs to hear to drive their business forward! ⏰ Timestamps:  00:00 - Introduction 00:42 - Sponsors  02:48 - Biggest Fundraising Mistakes 05:01 - Valuation Focus and Risks 08:00 - Overvaluation Consequences 11:06 - Deciding the Right Time for M&A 15:02 - Personal Factors in M&A Decisions 18:04 - Highlighted Investments 21:32 - Closing Remarks

A discussion with the incumbent Democratic state Treasurer Mike Pieciak, and his Republican opponent, Joshua Bechhoefer. Plus, why some health care providers are urging lawmakers to boost Medicaid payments to hospitals, a southern Vermont provider is closing a clinic to cut costs, UVM will consider raising in-state tuition for the first time in five years, the Democratic candidate for governor says incumbent Republican Phil Scott has failed Vermonters, a longtime independent state representative from Dover announces her candidacy for House Speaker, and a deadline's approaching for Vermonters impacted by July's severe storms to apply for FEMA disaster assistance.

Frank wraps up the show talking about barring NFL locker room interviews, Tom Brady's conflict of interest as a minority owner of the Las Vegas Raiders and being a broadcaster. He is also joined by Noam Laden for News You Can Use. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is sponsored by Lockton, click here to learn more Watch the full video on YouTube - click hereStellantis is in a tight spot. With leadership shakeups, lawsuits, and strained relationships with suppliers, workers, and even shareholders, the company faces challenges from all directions. The once-powerful automaker is now reeling from significant internal and external turmoil. Yet, amid this crisis, a critical question remains: How can Stellantis turn things around and find a better way forward?In this episode of the Automotive Leaders podcast, Jan Griffiths brings on Kate Vitasek, a University of Tennessee faculty member and expert on collaborative relationships, to talk about how Stellantis can get through these tough times.Drawing on her work with major organizations, Kate discusses how Stellantis could benefit from a shift in strategy—away from adversarial tactics and towards collaborative contracting. She highlights the "Vested Methodology" — a method designed to build win-win relationships and foster cooperation rather than conflict.Jan worries that Stellantis' internal challenges are not only affecting its own stability but also sending ripples throughout the automotive world. Now, she calls for bold action: Tavares must step down immediately. Jan argues that Stellantis urgently requires a leader who understands collaboration, can mend these damaged relationships, and addresses the company's real issues.Kate agrees, saying, "Change the people or change the people." She urges Stellantis to rethink its leadership approach and points out that without a mindset shift from the top, the company may continue on its downward spiral.Towards the end, Kate Vitasek urges Stellantis to take swift, decisive action to break free from its crisis. Her advice? Gather the key leaders in a focused session, where they'd work together to craft a clear statement of intent—a roadmap to establish long-term goals and a unified direction. By confronting issues directly and with purpose, Kate believes Stellantis can realign itself for a stronger future.Themes discussed in this episode:The key reasons leading to the Stellantis US crisisChallenges in Stellantis' supplier and union relationshipsThe ripple effect of Stellantis' crisis on the automotive industryThe critical role of strong supplier and union partnerships for organizational stabilityThe impact of leadership decisions on organizational stabilityThe consequences of a win-lose mentality in business partnershipsUsing formal relational contracting to promote win-win solutionsTransforming adversarial relationships into collaborative partnershipsFeatured Guest: Kate VisatekWhat she does: An accomplished author and educator, Kate is a leading authority in strategic partnerships. She also heads research at the University of Tennessee and specializes in the Vested® business model. With experience at major corporations like P&G and Microsoft, Kate provides executive training and coaching, empowering organizations to excel in strategic collaborations and foster innovation.On leadership: “Anytime you have uncertainty, it makes people even more anxious. And so, getting in and making some decisive decisions, just bringing calmness back. Long-term, saying, this is where we're committing to not the decision for tomorrow. Take a pause. Move quickly, but take a little pause, bring everybody together, and create the goals for

In between Seasons 2 and 3, co-hosts Ted Stank and Tom Goldsby were at the Council of Supply Chain Management Professionals (CSCMP) Conference, where they caught up with Kate Vitasek, a GSCI Fellow and internationally renowned business leader, educator, and founder of Vested, a model for creating highly collaborative business relationships in which both parties are equally committed to each other's success. Vitasek and her Vested model were nominated for the CSCMP Supply Chain Innovation and Teaching Innovation awards. Later this month, she will operate back-to-back courses on UT's campus: Vested Executive Education (Oct. 28-30) and Collaborative Contracting (Oct. 31-Nov. 1). She also offers virtual courses and opportunities worldwide. You won't want to miss out! ***Vitasek is offering a full scholarship to Ports and their management to send a group to Knoxville to attend either course*** The episode was recorded live on September 30, 2024, during the CSCMP Edge Conference in Nashville, Tennessee. Related links:  Learn more about Kate Vitasek and the Vested business model Download Vitasek's full library of white papers and case studies in English, Spanish, French, Swedish, Dutch, and Portuguese Dockworkers go on strike, snarling traffic at East and Gulf Coast ports Hurricane Helene may devastate tech and health supply chains Register for the Fall 2024 Supply Chain Forum, Nov. 12–14 in Knoxville  Become a Supply Chain Forum member  Download GSCI's latest white papers for free  Subscribe to GSCI's monthly newsletter  Read the latest news and insights from GSCI Text the Tennessee on Supply Chain Management team!

The investiture of Michigan State University President Kevin M. Guskiewicz, Ph.D. was held on Sunday, Sept. 29, 2024, in the Cobb Great Hall at the Wharton Center for Performing Arts. Presidential investitures are typically held in a leader's first year in office to publicly and formally “vest” them with the authority of the office and acknowledge, introduce and celebrate the new leader. Investitures also represent continuity, connecting universities' present with their past and allowing new leaders an opportunity to express their vision for the institution's future. President Guskiewicz elaborates on topics he discussed and initiatives he announced during his address.  Conversation Highlights: (0:20) – Welcome back to MSU Today, President Guskiewicz. How was the investiture? (1:46) – Reflect on your almost seven months leading MSU. Has anything surprised you? (2:57) – What are the main themes you wanted to present in your address? (4:55) – What are some “true north” ways to make MSU the state university for the future? (6:13) – What do you mean by “proudly inclusive talent activator?” (7:30) – MSU is educating students for jobs that don't exist yet. (8:38) – You reaffirmed MSU's commitment to DEI. (9:46) – Why do you love fundraising, and why is it important for MSU's future? (10:55) – What's the importance of “one team?” (11:48) – “We're a humble university that needs to toot its own horn more.” Listen to “MSU Today with Russ White” on the radio and through Spotify, Apple Podcasts, and wherever you get your shows.

ON THE SHOW TODAY: Opener Tradie V Lady First Calls Birthday Wheel O News + Shaboozey Pop Quiz KJ Rave Dua Lipa Ventriloquist: April Brucker O News Brooklyn Gets Married! Follow us on @kyleandjackieo for more!See omnystudio.com/listener for privacy information.

Send us a textTuesday Talks: Playing Only with Vested Couples—Too Critical? | Episode 24Welcome to another "Tuesday Talks" segment of The Swing Nation Podcast, the top-rated lifestyle podcast about non-monogamy and swinging! In this episode, hosts Dan and Lacy dive into a thought-provoking listener question from BeautyNBeast, who shares a personal rule about only playing with couples that are truly "vested" in each other.BeautyNBeast wonders if this boundary is too harsh and if they're being overly critical, potentially missing out on exciting experiences. Tune in as they discuss the importance of understanding your own comfort zones, how to assess the dynamics between potential play partners, and whether it's worth reconsidering rules to avoid limiting your experiences.If you've ever questioned your own boundaries or wondered how to handle complex dynamics in the swinging community, this episode is for you! Hit play and join the conversation.- The Swing Nation - Main Website Quick Navigation Website: -- (Find all our social media links & more!) Follow us on Facebook! The Podcast Website- Swinger Society - Our Website to meet, connect & events Swinger Society Discord Our Facebook Group- Swinger Websites -Kasadie 90 day free trialUsername: TheSwingNation SDC 14 day free trial Username: TheSwingNation** Use code 36313 for 14 days free! ** SLSUsername: NorthernGuynSouthernGirl- Merch & More -Order Your Merch Here!- Lacy's Fun Links - VIP OnlyFans PREMIUM OnlyFans-- THANK YOU TO OUR SPONSORS --Wisp : Making sexual healthcare inclusive, cost-effective, and accessible—for everyoneUse Code SWING at checkout for 15% off your oder!Shameless Care: ED Medication and at home STD testingUse Code TSN at checkout for $30 off your order!Promescent® Make Love Longer, It's Time for Great SexUse Code SwingNation for 5% off!Pinaq Liqueur; The Official Drink of The Swing NationUse Code TSN at checkout for 15% off!Support the show- Thank you for the support! -

G'Day and welcome to Overdrive, a program that roams through the world of motoring and transport More of our thoughts, ideas and ramblings are covered on our website, podcast or social media – just search for Cars Transport Culture I'm David Brown And I am joined by the erudite Paul Murrell from Seniordriveraus.com In this program (timings in mm:ss) News Stories • Melbourne City Council bans e-bikes (00:40) • Nissan and Honda agree to joint research in fundamental technologies for next-generation SDV platform (13:35) • A6 Sportback e-tron The most aerodynamic Audi of all time (19:52) • Nissan trialling cool paint technology (26:38) • Humans Are Going to the Moon-s South Pole This Is How They'll Drive There (31:15) Road Test – Peugeot 408 Fast Back Plug in hybrid (33:42) Feature Interview (50:33) Fighting against working from home. Vested interests support current financial structures on the back of making workers toil with commuting. Web Site: Driven Media: drivenmedia.com.au Podcasts iTunes: Cars Transport Culture Spotify: Cars Transport Culture Or our social pages Facebook Cars Transport Culture Instagram Cars Transport Culture Or YouTube site Cars Transport Culture Search for Cars transport culture And this has been overdrive Thanks to • Paul Murrell • Prof David Hensher • Peugeot Australia • Mark Wesley • Bruce Potter for their help with this program. You can get more of our work including longer versions of the program on our website, through our podcasts, or more visual information on Facebook, Instagram or YouTube. In all cases search for cars transport culture. Overdrive is syndicated across Australia on the Community Radio Network Originally broadcast 17 August 2024 I'm David Brown Thanks for listening

Highlights from this week's conversation include:Derrick's background in venture capital (0:19)Transition to public sector (2:27)The Government's role in innovation (4:55)Public perception of government in venture capital (8:40)Government programs for venture capital (10:48)Constraints of public funding (13:11)Coordination among state programs (15:18)Purpose of public venture funds (17:14)Supporting Underrepresented Small Businesses (17:34)Investing in Diverse Teams (22:41)Insider Segment: Vested's Differentiation from Competitors (24:59)Considerations for Pre-IPO Shares (25:35)Thought Leaders in the LP Community (27:11)Allocation for Diversity and Climate (29:16)Definition of Climate Justice (31:01)Unique Aspects of Climate Investing (34:02)Mission and Returns in Inclusive Investing (37:30)Fund Size and Deployment (40:35)Final thoughts and takeaways (42:15)Derrick Tang serves as the Deputy Director of Venture Capital at IBank California, a role he was appointed to by Governor Gavin Newsom. With a rich background in climate change, venture capital, and government leadership, Derrick has dedicated his career to increasing access to capital for entrepreneurs. His work focuses on supporting underrepresented fund managers and entrepreneurs, with an additional emphasis on climate justice investments. Derrick's previous roles include leading the Climate Investments team at the Bay Area Air Quality Management District and managing grants at the California Clean Energy Fund (CalCEF). He holds a B.S. in Chemical Engineering from Cornell University and is passionate about leveraging venture capital to drive social and environmental change.Vested empowers startup employees to capitalize on their hard-earned equity, primarily by providing funding to help exercise stock options. The company's overarching mission is to democratize access to equity, ensuring that startup employees both understand and have a real chance to tangibly benefit from the shares they're granted.Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies. The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only.

Highlights from this week's conversation include:Peter's background and journey Into finance (0:58)Strategy of Institutional LPs (2:30)Bandwidth Constraints and Time Management (5:53)Lessons Learned from Early Stage Programs (8:01)Criteria for Fund Managers (10:11)Transition to Institutional LP and Governance Structure (12:56)Challenges Faced by Institutional LPs (16:10)Excitement about certain investment strategies (19:24)Overview of the Kauffman Fellows program (23:04)Insider Segment: Vested's target audience and investor interest (24:32)Ingredients for successful LP-VC partnership (30:45)Role of limited partners in the future of venture capital (33:24)Proud venture capital investment (35:49)Investing with Creativity and Conviction (38:03)Final thoughts and takeaways (38:50)Peter Teneriello is a multifaceted professional with a rich background in finance and private equity. At 33, he boasts a B.B.A. from the University of Notre Dame, complemented by his participation in the Kauffman Fellows Program. His career includes significant roles at Sapient Capital, Stifel Financial Corp., and the Texas Municipal Retirement System. As a Kauffman Fellow, Peter has demonstrated a commitment to innovation and leadership in the investment field. His interests in technology and ethical considerations in AI highlight his forward-thinking approach.Vested empowers startup employees to capitalize on their hard-earned equity, primarily by providing funding to help exercise stock options. The company's overarching mission is to democratize access to equity, ensuring that startup employees both understand and have a real chance to tangibly benefit from the shares they're granted.Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies. The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only.

Highlights from this week's conversation include:The Growth and Evolution of Impact Investing (0:47)Misconceptions about Impact Investing (3:34)Impact Investing in Political Climate (7:59)Spring Point Partners' Mission (11:07)Venture Capital and Impact Strategy (12:28)Assessing and Vetting Fund Managers (14:41)Impact Labeling for Fund Managers (16:47)Fundraising Strength and Networked Wealth (19:13)Silicon Valley Diversity (23:03)Shared Ownership and Participatory Investment Models (28:31)Insider Segment: Stock Option Funding (33:33)Climate Investment Opportunities (42:13)Intersection of Planetary and Human Well-Being (44:06)Community Ownership in Renewable Energy (46:04)Industries and Investment Trends to Avoid (49:47)Applying Historical Frameworks to Investing (55:04)Final Thoughts and Takeaways (57:02)Spring Point Partners is a social impact organization that invests in the transformational leaders, networks, and solutions that power community change and advance justice. We do this by: Seeking out and supporting community leaders who have the vision to see what's possible and the drive to make that real.Connecting the experience of partners with comprehensive and flexible supports for shared learning and impact. Investing in innovative ideas and adaptive solutions that can spark and scale change for all. Whether we're partnering on youth development, human-centered learning, animal welfare or water sector leadership or investing in new business models that close opportunity gaps and boost social and economic mobility, we center equity and justice in all we do — supporting individuals and ideas that can have a catalytic impact in their communities and on our society.  Together, let's change the way social impact is achieved. Learn more: www.thespringpoint.com.Vested empowers startup employees to capitalize on their hard-earned equity, primarily by providing funding to help exercise stock options. The company's overarching mission is to democratize access to equity, ensuring that startup employees both understand and have a real chance to tangibly benefit from the shares they're granted.Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only.

In this podcast episode, Max Forsyth interviews Anna Garcia, Communications Director at WinGD, a Swiss marine engine design firm. Anna discusses her career path and current role, emphasising the importance of sustainability and gender diversity in the shipping industry. She highlights the need for balanced, fact-driven communications on shipping sustainability and sustainable fuels. Anna also addresses the male-dominated nature of the industry and advocates for more women in decision-making roles. The conversation covers the challenges of communicating complex engineering concepts, the significance of storytelling, and the future trends in communications, emphasising collaboration, transparency, and effective leadership.**Interested in a Career Opportunities or Looking to Hire Into Your Comms Team ?**Learn about opportunities and insights into the world of in-house communications with Comms Search and Selection. Visit https://www.commssearch.com/**Follow Us for More:**- LinkedIn: https://www.linkedin.com/company/comms-search-selection/- Instagram: https://www.instagram.com/comms_search_selection/**Upcoming events Max will be attending**

Anita L. Helm explains how fear and doubt hinder our going to do what GOD commands us to do.

Marty, Colette, and Sadie are thrown into a most terrifying retro horror story using Summer Camp Slayers game mechanics. Tag along and see who survives the night, and whose light fizzles out.

Marty, Colette, and Sadie are thrown into a most terrifying retro horror story using Summer Camp Slayers game mechanics. Tag along and see who survives the night, and whose light fizzles out.

Empowering Small Businesses with HR Solutions, with Dan Gladding, Vested HR Solutions (North Fulton Business Radio, Episode 756) On this edition of North Fulton Business Radio, host John Ray welcomed Dan Gladding from Vested HR Solutions, a PEO (Professional Employer Organization) that provides a suite of outsourced HR services. Gladding shared his journey in the […] The post Empowering Small Businesses with HR Solutions, with Dan Gladding, Vested HR Solutions appeared first on Business RadioX ®.

3.05.24 - Tuesday PM - Pastor Kevin Bradford - "Vested Apostolic Power" by GBFPC

In this episode, Regina sits down with  Traci Bousman. Traci has been the year-end amateur champion with PtHA for the last few years with her special partner, Snoopy (AKA Vested Sensation). However, she had one big goal for 2023. Traci wanted to win the all-around title at the 2023 Pinto World Championship show.  However, on the night of June 17, Tulsa, Oklahoma, was ravaged by storms with winds of over 100 mph. The Pinto World Championship show was in full swing at Tulsa Expo Center and was forced to cancel before finishing all events. Feeling disappointed but grateful that everyone stayed safe, Traci and Snoopy left Tulsa, pivoted, and set their sights on winning the all-around at the Color Breed Congress. Mission accomplished! Throughout the year, Traci weighed the pros and cons of retiring Snoopy. With nothing left to prove and after a hugely successful CBC, Traci decided it was time for Snoopy to enjoy 2024 and beyond as a retired boy. With the decision made, Traci announced that she was starting an exciting new chapter for herself. Traci is embarking on a new career as a clinician and coach. Traci is ready to share her knowledge. And our industry will be better for it! Congratulations to Traci Bousman and Vested Sensation on a long and highly successful career! Happy retirement, Snoopy! To learn more about this episode: (08:11 - 09:02) Storytelling Influence and Importance  (11:22 - 12:29) Cocaine Kingpin's Influence on Horse Industry  (14:41 - 15:36) Future Interviews With Rita Cundwell (26:28 - 27:22) Changed Perspective on Horse Show Experience  (30:32 - 31:32) Memorable Quarter Horse Show Victory Celebration  (35:17 - 36:13) Memorable Horse Show Moments 

In today's complex business environment, establishing trustful and transparent relationships between buyers and suppliers has become crucial for strategic success. Join Kate Vitasek, a renowned authority in collaborative business relationships, and Bryan Jacobs, President, Growth & Strategy, Global Occupier Services (GOS), Cushman & Wakefield, as they explore the power of “vested outsourcing” – a methodology that fosters win-win scenarios in contractual agreements, enabling buyers and suppliers to achieve strategic outcomes together through shared values and goals.

In this episode of KAJ Masterclass LIVE, Khudania Ajay engages in a profound conversation with Phyllis E Leavitt, an esteemed author and psychologist. Explore why Phyllis believes America is in the midst of a mental health crisis and the contributing dynamics.

Bu sezon sponsorumuz Sanction Scanner ile tanışın, “Breaking Bad” de gördüğümüz kara para aklama sahnelerini hatırlarsınız. Senede 2 trilyon dolarlık kara para aklanıyor.İşte burada Sanction Scanner'ın yazılımı devreye giriyor. Yapay zeka ve makine öğrenmesi ile desteklenen ürünleri, banka ve benzeri finansal kuruluşlara gerçek zamanlı AML, yani Anti-Money Laundering, taramaları yaparak finansal kuruluşla iş yapmak isteyen kişi ve işlemlerin sıkıntı olup olmadığını analiz ediyor. Sanction Scanner hakkında daha fazla bilgiyi buradan ulaşabilirsin: https://sanctionscanner.com/---Brick Institute eğitimleri, deneyimli eğitmenleri ve seçkin katılımcılarıyla birlikte Ürün Yönetimi Temelleri, Ürün Analitiği ve Ürün Liderliği programları çok yakında başlıyor. Bu eğitimler, gerçek hayat uygulamaları ve vaka çalışmaları üzerine odaklanarak, ürün yönetimi alanında uzmanlaşmak, ürün geliştirme süreçlerini kuvvetlendirmek isteyenler için oluşturuldu.Kontenjan sınırlıdır, bu nedenle hemen www.brick.institute adresinden başvuru yaparak yerinizi garantileyin ve eğitime katılmak için kaydolun!----Üretim Bandı'nın Slack grubu olduğunu biliyor muydunuz? 3000'den fazla ürün yöneticisi, girişimci, yazılımcı, tasarımcının bir arada bulunduğu aktif ürün topluluğuna siz de katılın:>>> uretimbandi.com/slackİki haftada bir yayınladığımız, ürün geliştirmeyle alakalı bültenimizi de aşağıdaki linkten takip edebilirsiniz:>>> uretimbandi.com/bulten----------GuestCarl Johan Kihlbom: https://www.linkedin.com/in/cjkihlbomTopics(00:00) Beginning(11:40) Product Manager but manages the culture too(15:54) What is Teamtailor?(19:00) Technologies which used(25:55) Everyone as a team(29:08) Working style of Teamtailor (Shape Up)(41:45) Cooldown vs Innovation(45:05) Impacts of the AI(50:30) Focus teams(57:12) Vested benefits: Work away(01:11:30) Interview and onboarding processes

Pastor Shawn continues the series, "Family Meeting."Just starting your Jesus journey? Let us know by filling out this form so we can connect with you personallyHello Card Tithes & OffersPlease consider giving to help us spread the life giving message of Jesus to the 920 and beyondGive Here --Follow Life Church on socialsLCGB Facebook LCGB Instagram LCGB YouTube

Be Careful of Those Who Give Spiritual Advice, But Are Not Vested in Your Spiritual Well-Being In the Gospel, Jesus tells us to listen to the Pharisees, but do not follow their example. We need to understand this Gospel, because of the impact on our own Spiritual Life. Because they are in authority, you need to listen to them . . . Jesus tells the crowd. But you do not need to live like them. Wow! Confusing? Hear more within the Homily. Jesus talks about a false character of teaching. It was prevalent in the past, and it is still with us today. Understand what this means because, for many, it will negatively impact their own Spiritual Life. Hear more within the Homily. Jesus tells us to Be Careful of Those Who Give Spiritual Advice, But Are Not Vested in Your Spiritual Well-Being. Listen to this Meditation Media and understand the implication for your own Spiritual Journey.

If you think the medical community, Big Pharma, and government bureaucrats tied to Big Pharma would love a world where everybody was healthy and nobody needed medicines -- think again. There are billions and billions and billions of dollars that pour into the health field from tax payer pockets each year, simply to develop even more drugs and more pills and more medicines to address an ever-growing list of disorders, diseases and deemed illnesses. But the question must be asked: Is it wise to trust the people who profit most from medical problems when they claim to have the cures for medical problems? Big Pharma made massive profits from COVID shots, for example. But they were also the leading player behind the demand for everyone to take the COVID shots. Anywhere else but in the medical world, that'd be called a glaring conflict of interest. Dr. Mark Richards wrote the book on this; it's called, "Nobody Wants Your Healthy."

Elon Musk may soon be in a legal battle with the Anti-Defamation League (ADL). He's alleging the organization has cost X, formerly known as Twitter, billions in ad revenue. And he claims it has done this by using hate labels—in particular, by accusing X of being a platform for anti-Semitism. Mr. Musk wrote on Monday: “To clear our platform's name on the matter of anti-Semitism, it looks like we have no choice but to file a defamation lawsuit against the Anti-Defamation League … oh the irony!” In other news, it looks like the Chinese economy has reached its breaking point. The real estate market is crumbling. Manufacturing is shutting down. Foreign businesses are leaving China. The Biden administration has declared the CCP economy is uninvestable. And we'll see what's coming next when President Biden speaks at the upcoming G20 summit. Here to speak with us about this is Milton Ezrati, chief economist at Vested and an Epoch Times contributor. Meanwhile, we've been getting fed mixed narratives on the state of the U.S. economy. Many conservatives believe things are getting worse. The Biden administration has repeatedly claimed this just isn't so. It's "Bidenomics." Employment is up. Inflation is nothing to worry about. We're doing better economically than just about anywhere else on earth. But recent data has been contradicting this. Here to speak with us about the issue is Dave Brat. He's a former U.S. Representative, and now Vice Provost for Engagement and PR at Liberty University.   ⭕️

The Federal Reserve is expected to raise interest rates again, despite bank runs being attributed to previous hikes. Los Angeles teachers walk out of class in solidarity with striking school workers. And Fox News faces another complaint in an avalanche of lawsuits. Learn more about your ad choices. Visit megaphone.fm/adchoices