Podcasts about yohei

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

Pat, Yohei and Rory rank their top ten shoes of 2024! Part 2 next week.

Soccer: 39-Year-Old Former Japan Striker Yohei Toyoda Announces Retirement

We're back with another AFTN Soccer Show and it's our 2024 Christmas Special, so jump on the Polar Express for a couple of hours of Festive Fun as we have football chat, presents, games, music, and a few surprise guests dropping in throughout the show to chat about a whole variety of things! So dig out the egg nog, have another mince pie, and ponder do you really need that item in the Boxing Day sales?! Major League Soccer gave Whitecaps fans an early Christmas present as they released the 2025 schedule last week, giving fans in Vancouver and throughout the league a chance to plan ahead early and perhaps book some trips with discounts in those very sales. We delve into what is a tough, tantalizing, and at times disappointing set of fixtures for the 'Caps. Plus we chat a bit more about the 'Caps seemingly completed search for a new coach and ponder is the MLS draft now redundant after it felt buried this year? Bringing in the Christmas cheer, we sit down with Whitecaps goalkeepers Isaac Boehmer and Yohei Takaoka, and midfielder Sebastian Berhalter to chat about what Christmas is like in their respective families, their traditions, and what they're hoping to find under the tree this year. All of this plus we have three Christmas hits from 1974 to round off our year of Whitecaps 50th anniversary celebrations, look back at what Christmas was like in 1974, we play some fun games that you can join in on at home, and Michael even gives you a potted version of the musical Oliver! Here's the rundown for the main segments from the episode: 01.20: Intro - getting into the Christmas spirit, gift exchanges 22.23: Whitecaps MLS schedule throws up challenging 2025 45.10: A Berhalter Family Christmas 51.10: Who Am I? - Part One 62.38: Mud - Lonely This Christmas 68.00: A 1974 Christmas 78.13: Connect Four 90.35: The Whitecaps new coach - who could it be?! 95.06: Is the draft now redundant in MLS? 102.50: The Wombles - A Wombling Merry Christmas 107.38: A Boehmer Family Christmas 117.45: Who Am I? - Part Two 133.47: Showaddywaddy - Hey Mr Christmas 139.10: A Takaoka Christmas 144.20: Christmas Countdown 158.00: Wavelength - Robb Johnson - When My Grandfather Played Football 176.10: Glasvegas - Silent Night

Yohei Nakajima leads a double life.  By day, he's a general partner of a small venture firm, Untapped Capital.  By night, he's one of the most prolific internet tinkerers in AI. (He also sometimes works on automating his job as a venture capitalist.) He's the creator of BabyAGI (@babyAGI_), the first open-source autonomous agent that went viral in March 2023. Yohei has since released seven iterations of BabyAGI (each one named after a different animal), a coding agent called Ditto, a framework for building autonomous agents, and, most recently, BabyAGI 2o, a self-building autonomous agent (that follows OpenAI's unfortunate naming convention). Even more incredible, Yohei isn't a professional developer. His day job is as the general partner of Untapped Capital (@UntappedVC). I sat down with Yohei to talk about: What feeds Yohei's drive to create new tools The evolution of BabyAGI into a more powerful version of itself  What Yohei learned about himself by tinkering on the internet Yohei's personal philosophy about how the tools we build our extensions of ourselves Why founders in AI should think about their products from a modular lens, by addressing immediate problems while enabling growth in the future Yohei's insight into a future where models will train themselves as you use them We experiment with Ditto live on the show, using the tool to build a game of Snake and a handy scheduling app. Yohei also screenshares a demo of BabyAGI 2o in action. This is a must-watch for anyone curious about autonomous agents, building cool AI tools on the internet, and the future of AI tooling. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: ⁠https://every.to/subscribe⁠  Follow him on X: ⁠https://twitter.com/danshipper⁠  Timestamps: Introduction: (00:00:59) BabyAGI and its evolution into a more powerful tool: (00:02:26) How better models are changing the way Yohei builds: (00:05:00) Using code building agent Ditto to build a game of Snake: (00:08:10) The ins and outs of how Ditto works: (00:13:24) How Yohei gets a lot done in little time: (00:19:21) Yohei's personal philosophy around building AI tools: (00:21:50) How Yohei experiments with AI as a tech-forward parent: (00:33:13) Demo of Yohei's latest release, BabyAGI 2.0: (00:39:29) Yohei's insights on the future of AI tooling: (00:51:24) Links to resources mentioned in the episode:  Yohei Nakajima: @yoheinakajima, http://yohei.me  Untapped Capital: @UntappedVC, https://www.untapped.vc/  My first interview with Yohei, around the time he released BabyAGI: https://every.to/chain-of-thought/this-vc-is-slowly-automating-their-job  The other AI tools Yohei has created: Ditto, BabyAGI 2, BabyAGI 2o The tweet thread about AI bots being let loose on a Discord server: https://x.com/AISafetyMemes/status/1847312782049333701 

In this episode of the Value Perspective we welcome Andrew McDermott and Yohei Yamada from Mission Value. Mission Value specialises in the Japanese market, with over two decades of experience in a value investing philosophy. Their network includes legends like Martin Whitman, Peter Cundill, Richard Oldfield and even Warren Buffett, whom Andrew visited in Omaha to discuss Japanese companies. In this episode we cover: human biases in the Japanese market over the last 30 years; long cycles in value investing in Japan; challenging the belief that cigar butt investing in Japan doesn't work; cultural and governance differences between Japan and western countries; and finally, communicating with clients and potential investors about the Japanese investment opportunity. Enjoy! NEW EPISODES: We release main series episodes every two weeks on Mondays. You can subscribe via Podbean or use this feed URL (https://tvpschroders.podbean.com/feed.xml) in Apple Podcasts, Spotify, Google Podcasts and other podcast players. GET IN TOUCH: send us a tweet: @TheValueTeam  Important information. This podcast is for investment professionals only. Marketing material for Financial Professionals and Professional Clients only.  The material is not intended to provide, and should not be relied on for, accounting, legal or tax advice, or investment recommendations.  Reliance should not be placed on any views or information in the material when taking individual investment and/or strategic decisions.  Past Performance is not a guide to future performance and may not be repeated.  Diversification cannot ensure profits or protect against loss of principal.  The value of investments and the income from them may go down as well as up and investors may not get back the amounts originally invested.  Exchange rate changes may cause the value of investments to fall as well as rise.  Investing in emerging markets and securities with limited liquidity can expose investors to greater risk.  Private assets investments are only available to Qualified Investors, who are sophisticated enough to understand the risk associated with these investments.  This material may contain “forward-looking” information, such as forecasts or projections. Please note that any such information is not a guarantee of any future performance and there is no assurance that any forecast or projection will be realised.  Reliance should not be placed on any views or information in the material when taking individual investment and/or strategic decisions. The views and opinions contained herein are those of the individuals to whom they are attributed and may not necessarily represent views expressed or reflected in other Schroders communications, strategies or funds.  Any reference to regions/ countries/ sectors/ stocks/ securities is for illustrative purposes only and not a recommendation to buy or sell any financial instruments or adopt a specific investment strategy. Any data has been sourced by us and is provided without any warranties of any kind. It should be independently verified before further publication or use. Third party data is owned or licenced by the data provider and may not be reproduced, extracted or used for any other purpose without the data provider's consent. Neither we, nor the data provider, will have any liability in connection with the third party data.  

Yohei Nakajima is an investor by day and coder by night. In particular, one of his projects, an AI agent framework called BabyAGI that creates a plan-execute loop, got a ton of attention in the past year. The truth is that AI agents are an extremely experimental space, and depending on how strict you want to be with your definition, there aren't a lot of production use cases today.  Yohei discusses the current state of AI agents and where they might take us.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Suni Williams and Butch Wilmore disembark from the Starliner capsule on to the International Space Agency. Rocket Lab has announced the launch window for the Company's 50th Electron launch. Plant Labs first quarter revenue increased 15% year-over-year to a record $60.4 million, and more. Our 2024 N2K CyberWire Audience Survey is underway, make your voice heard and get in the running for a $100 Amazon gift card. Remember to leave us a 5-star rating and review in your favorite podcast app. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our weekly intelligence roundup, Signals and Space, and you'll never miss a beat. And be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest AWS in Orbit: Empowering small farming through AI and space technologies. Yohei Nakayama, Chief Technology Officer at Degas Ltd., shares how his company is revolutionizing small farming in Ghana through AWS's cloud, AI, and space technologies. Yohei is joined by AWS Solutions Architect Emma Higashikawa. You can hear the full episode at space.n2k.com/aws. Selected Reading Boeing's astronaut capsule arrives at the space station after thruster trouble  Rocket Lab Sets Launch Date for 50th Electron Mission, Prepares to Deploy Five Satellites for Kinéis- Business Wire Planet Reports Financial Results for First Quarter of Fiscal Year 2025- Business Wire China's private space company launches 3 satellites into orbit - CGTN First test of space-based hypersonic tracking sensors 'within a week,' MDA director says - Breaking Defense RTX provides Blue Canyon Satellites for NASA Polar climate mission ESA and Vast signed a Memorandum of Understanding for future Vast space stations Telespazio unveils deal with Starlink - Business - Ansa.it FAA to Receive Launch and Reentry Flight Data from Two More Companies Türkiye's 2nd astronaut prepares for historic space flight- Daily Sabah That giant sunspot that supercharged auroras on Earth? It's back and may amp up the northern lights with June solar storms- Space T-Minus Crew Survey We want to hear from you! Please complete our 4 question survey. It'll help us get better and deliver you the most mission-critical space intel every day. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

As the second round of Asian Qualifiers nears its conclusion, we take a look at the major talking points ahead of the final few matchdays. Who will emerge victorious between China and Thailand? Will North Korea's forfeit actually work in their favour? Where to for Hong Kong after Jorn Andersen walks away? Plus we talk about the legacy left behind by Indian legend Sunil Chhetri ahead of his final ever international game, and finally we speak with Vancouver Whitecaps' Japanese goalkeeper, Yohei Takaoka on his move to MLS.

Episode 7: Why and how, Yohei Nakajim built a baby AGI. Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) sit down with Yohei Nakajima (https://x.com/yoheinakajima), a venture capitalist and serial AI tool builder. In this episode, Yohei dives deep into the transformative potential of AI in automating tedious tasks, revolutionizing venture capital, and redefining job markets. He shares insights on the practical applications of AI for small and medium businesses, discusses the branding of "web three," and explores the development and impact of autonomous agents like his Baby Agi project. Whether you're interested in tech innovation, business adaptability, or AI ethics, this conversation covers it all. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) VC turned coder using AI for prototyping. (03:38) Community support led to modding and improvements to Baby AGI. (08:16) Learning curve in using autonomous agents. (11:31) AI agents offer guided next step suggestions. (15:04) Developers emphasize handcrafted agents over autonomous agents. (17:10) Balancing niche and broad market expectations in tech. (20:12) Massive models trained on millions of people. (22:52) Childhood fascination leads to pondering internet immortality. (27:24) Venture capital, AI, SaaS, future-proofing investment criteria. (30:03) Interest in lowering company startup costs and VC innovation. (33:34) Try using free version of chats first. — Mentions: Yohei Nakajima: https://yohei.me/ Baby AGI: https://discord.com/invite/TMUw26XUcg Claude: https://claude.ai/ Get HubSpot's Free AI-Powered Sales Hub: enhance support, retention, and revenue all in one place https://clickhubspot.com/gvx — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Join Logan Kilpatrick and Nolan Fortman as we dive deep into the future of AI Agents, how they will affect businesses, developers, and the world. Yohei is one of the deepest thinkers in the world of AI agents, as the creator of Baby AGI and the backer of many companies in the agent space. I hope you all enjoy this conversation as much as Nolan and I did. Takeaways - Building AI tools for venture capital can provide value to founders and investors. - The future of AI in venture capital lies in the development of autonomous agents and the integration of AI into VC workflows. - Verticalized AI solutions can capture value quickly by addressing specific tasks and industries. - The adoption of AI in organizations requires a mindset shift and a focus on empowering employees rather than replacing them. - The AI landscape is constantly evolving, and there is still much to be explored and developed. Location can have an impact on attending events and the fear of missing out (FOMO). Being in a different location can provide a different perspective and prevent exhaustion from attending too many events. - Vector databases play a crucial role in enabling AI applications, particularly in semantic search. There is a growing number of companies providing vector database solutions, but there is still room for improvement in fine-tuning embeddings for specific use cases. - Knowledge graphs were gaining traction before the rise of large language models. However, there is potential for knowledge graphs to be integrated with AI and solve complex problems. - The decision to go open source or closed source depends on various factors, including the team's unique strengths, target market, and business goals. It is a strategic decision that reflects the values and philosophy of the company. - Building in public can be a strategic decision that aligns with a company's values and philosophy. It can help gain attention, work with other developers, and establish credibility. - There is a mix of experienced founders and new founders in the AI space. Both have their advantages, with experienced founders bringing valuable expertise and new founders bringing fresh and innovative ideas. - Yohei expresses optimism for the future of AI and technology, hoping to see advancements in autonomous agents, knowledge graphs, and passive AI. He looks forward to the progress and exciting ideas that will emerge in the coming years.

In today's episode Yohei Nakajima, GP at Untapped Capital and Creator of BabyAGI, returns to the show. Together with Nathan, they watch Yohei's TEDAI Talk, unpacking themes on collective intelligence, identity, and how AI can help us better understand one another. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period. We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com. -- LINKS: - Yohei's TEDAI Talk: https://www.ai-event.ted.com/panelists/yohei-nakajima - Listen to Yohei Nakajima Part 1 on The Cognitive Revolution here: https://www.cognitiverevolution.ai/ai-agents-vc-insights-on-ai-and-building-in-public-with-yohei-nakajima-creator-of-babyagi/ SPONSORS: The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitive Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off www.omneky.com NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist. X/SOCIALS: @labenz (Nathan) @yoheinakajima (Yohei) @CogRev_Podcast TIMESTAMPS: (06:39) Yohei's AI Creation Process (09:50) Differences between models (15:46) Sponsor - Brave Search API | Shopify (20:10) Knowledge Graphs (24:30) Shift to philosophical discussion (27:40) GPT Store (30:28) Sponsor - NetSuite | Omneky (35:40) Eastern Philosophy and Identity (36:22) How different societies will relate to Ai (37:00) Appreciate how much philosophy is embedded into language (39:03) Japan's policy towards AI and individual privacy (40:15) Eastern philosophy view of the brain  (40:51) AI is a tool much like real intelligence (42:20) AI in China (42:46) Collective, extended cognition (44:10) Emergence in ants (44:51) Language model performance in different languages (47:06) Nationalism and AI (48:31) Tokenization, unicode, and cost structure between languages (56:54) Accepting, not understanding (59:24) AI bridging connection

Join host Ryan on this week's episode of the ChatGPT Report for an exciting dive into the latest AI developments and news. In this episode, titled "Lumiere: A New Challenger Approaches," Ryan shares insights into a new groundbreaking AI tool named Lumiere by Google, offering advancements in video generation technology with its unique "space-time diffusion" process. Alongside, we explore the introduction of GPTs into any conversation within ChatGPT, the playful Oregon Trail GPT by Yohei, and the comprehensive GPT directory, AllGPTs, for easy navigation through over 30,000 GPTs. We'll also cover Midjourney's latest update with its anime-focused image model, Niji V6, which brings enhanced capabilities for anime-style visuals and character detail. Plus, a brief on the FTC's recent investigation into the AI investments of major tech companies, scrutinizing potential monopolistic practices and the impact on competition and market dynamics. Whether you're a tech enthusiast or just curious about the evolving world of AI, this episode is packed with insights, updates, and a bit of caution on the hype around new technologies. Tune in every Thursday for new episodes and catch our interviews every Monday. Follow us on LinkedIn and Twitter @ChatGPTReport and feel free to drop us an email with your thoughts or if you'd like to be featured. Don't forget to rate, review, and subscribe so you never miss an update from the ChatGPT Report!

You can learn more about AWS in Orbit at space.n2k.com/aws. Yohei Nakayama, Chief Technology Officer at Degas Ltd., shares how his company is revolutionizing small farming in Ghana through AWS's cloud, AI, and space technologies. In this compelling conversation, we learn about Degas Ltd.'s innovative use of generative AI to promote regenerative agriculture practices. Yohei provides insights into case studies that demonstrate the transformative impact on local farmers and the environment. Yohei is joined by AWS Solutions Architect Emma Higashikawa, and Africa Space Policy Analyst, Ruvimbo Samanga. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our weekly intelligence roundup, Signals and Space, and you'll never miss a beat. And be sure to follow T-Minus on LinkedIn and Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices

Founder's FAQ: answers to all the possible questions of a founder. Hosted by Ilker Koksal. This episode's guest is Yohei Nakajima. Yohei is a general partner at Untapped Capital, an early-stage venture capital firm investing in the unexpected. Previously, he was a venture partner at Scrum Ventures and director of the pipeline at Techstars. 1-) How to fundraise better 2-) How to value companies 3-) Understanding the hype cycles and understanding customers 4-) How to decide to quit the company Founder's FAQ is a book for founders, and you can order through the www.foundersfaq.com

Albedo Space raises $48 million in a Series A round. Latitude has closed a Series B funding round that secured $30 million in new capital. Share My Space has transitioned to ALDORIA, and secured €10M in a Series A funding round, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our weekly intelligence roundup, Signals and Space, and you'll never miss a beat. And be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest We're working with AWS to bring you an in-depth look at the transformative intersection of cloud computing, space technologies, and generative AI. Today we have a preview of our fourth episode which is due to air on Saturday, AWS in Orbit: Empowering small farming through AI and space technologies. Yohei Nakayama, Chief Technology Officer at Degas Ltd., shares how his company is revolutionizing small farming in Ghana through AWS's cloud, AI, and space technologies. Yohei is joined by AWS Solutions Architect Emma Higashikawa, Selected Reading Albedo Raises $48M Series A Latitude closes $30M Series B ALDORIA closes €10M Series A Funding AAC Clyde Space wins SEK 9.9 M Sirius order Lockheed Martin Reports Fourth Quarter and Full Year 2023 Financial Results Space stock Intuitive Machines climbs ahead of historic commercial moon-landing mission Capella Space and Floodbase Partner to Bring High-Resolution SAR Data to Parametric Insurers Orbex Selected for European Commission and ESA's New Flight Ticket Initiative Blue Origin joins 2 stages of New Glenn rocket for the 1st time (photo) | Space Japan's moonshot may mark breakthrough for future lunar missions - The Japan Times Dr Tidiane Ouattara Appointed Head of the Science, Technology and Space Division at the AUC Voyager Space Appoints Marshall Smith as Chief Technology Officer, Member of Starlab Space Board of Directors Industry report calls for greater use of AI to extract untapped value from satellite data - SpaceNews USPS Reaches for Final Frontier With New Priority Mail Stamps  T-Minus Crew Survey We want to hear from you! Please complete our 4 question survey. It'll help us get better and deliver you the most mission-critical space intel every day. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Part two is here, and we have some great picks for you! Which shoes will Pat, Marc and Yohei decide to rank in the top spots? Tune in and find out!

Pat, Yohei and Marc are back with their top ten shoes of 2023! Find out which shoes made the cut on this annual Untitled Shoe Show countdown, and head over to @threadsanddreadspod on Instagram for the full list.

The life and times of Pat, Marc and Yohei! Find out what the boys have been up to during our brief hiatus, and hear some exciting new stories from the world of sneaker collecting.

In this episode, Yohei Nakajima, creator of BabyAGI and GP at Untapped Capital, chats with Nathan about the opportunity for AI to strengthen human understanding, AI agents, and his insights on investing in AI projects. If you need an ERP platform, check out our sponsor NetSuite: http://netsuite.com/cognitive. SPONSORS: NetSuite | Omneky NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. LINKS: BabyAGI: https://github.com/yoheinakajima/babyagi Yohei's site: https://yoheinakajima.com/ X/SOCIAL @labenz (Nathan) @yoheinakajima (Yohei) @CogRev_Podcast TIMESTAMPS: (00:10:59) - A large part of AI is trying to map human cognitive processes onto our software stack (00:11:14) - Yohei's TED AI talk: the opportunity for AI to strengthen human understanding (00:13:29) - Yohei's journey to build AI projects and building in public  (00:14:04) - Yohei's lifelong interest in building tools and automating workflows for efficiency (00:16:29) - Sponsors: Netsuite | Omneky  (00:22:05) - Building projects as a fun and exploratory practice  (00:23:53) - Single use software (00:24:18) - Yohei's home assessment price contesting project  (00:24:58) - The origins of BabyAGI as an autonomous startup founder prototype (00:27:44) - Create as many paper clips as possible  (00:30:10) - Thoughts on going all in on a project and turning it into a company vs pursuing it on the side  (00:33:00) - Forking different versions of Baby AGI based on animal names (00:34:24) - Yohei's learnings about agents after iterating on six versions of Baby AGI  (00:36:24) - Yohei's thoughts on generalist agents (00:37:28) - Replit (00:40:54) - Begin exploring AI automation with tasks you wish you had time for, not critical workflows (00:42:32) - Automating outbound sales and recruiting workflows with AI (00:46:19) - Where should people start learning about AI agents? (00:48:23) - Will agents come online with GPT-4V? (00:52:40) - The unique moment where both executives and engineers both want to implement AI (00:54:59) - AI layers: hardware, software, tooling  (00:57:20) - Taxonomy of AI business models  (01:10:47) - Designing AI to provide value for senior citizens (01:15:14) - The responsibility to nudge people positively with influential AI assistants (01:19:24) - Advice on when and how startups should build in public (01:22:24) - Perspective on existential risk from AI vs. its potential benefits (01:15:30) - Responsibility to handle AI-human emotional connections well  (01:19:24) - Advice on when and how startups should build in public (01:22:24) - Perspective on existential risk from AI vs. its potential benefits The Cognitive Revolution is brought to you by the Turpentine Media network.  Producer: Vivian Meng Executive Producers: Amelia Salyers, and Erik Torenberg Editor: Graham Bessellieu For inquiries about guests or sponsoring the podcast, please email vivian@turpentine.co

Today on the show I have a family interview with Hikari, her husband Yohei and her gorgeous 12 year old daughter Haruko. Hikari hails from Japan and requested we did the interview all together and I am so glad we did. Her daughter helps translate but more importantly it becomes apparent quickly how integral she was in the pregnancy and birth of her little brother Kotaro. With her first 3 children, Hikari had c-sections and thought she was destined for another one until her daughter Haruko said, ‘Mum of course you can give birth vaginally.' It gives me absolute shivers to hear the wisdom of Haruko and how she is light years ahead with her intuition and perspective of the world. It makes me so excited and grateful for the next generation coming through. I also love the trust and connection this family have with each other and reminds me of why the family unit needs to be honoured and how much strength families have in togetherness. In a world where families are often torn apart and pitted against each other - this is a story of hope and ultimate love. Overall Hikari and her family just blow me away. Haruko - I have never met a more amazing 12 year old! After this interview we ended up having the best afternoon together with our families combined and I hope you have the warm fuzzy feeling I had after listening to this conversation.

Dodgers broadcaster Jose Mota is the guest, we discuss a little Shohei Ohtani, look at the playoff races in the Central and Pacific leagues, take a deep dive into Yohei Oshima as he nears 2,000 career hits and touch on the hitting streak Yuki Okabayashi has put together.

This week, host Anna Rose (https://twitter.com/annarrose) and co-host Kobi Gurkan (https://twitter.com/kobigurk) chat with Yohei Nakajima (https://twitter.com/yoheinakajima), General Partner at Untapped Capital (https://www.untapped.vc/) and creator of BabyAGI (https://babyagi.org/). They cover a wide variety of topics from the world of AGIs and agents to building no-code software in public. They kick-off with a chat about how Yohei's interest in NFTs led him down the AI ‘rabbit hole' and how he started to build out experiments in public that have inspired a new group of AI tools and projects. They wrap up with a discussion about the possible impacts of some of this AI tech, how ZK may help mediate the challenges it introduces and more. Here's some additional links for this episode; ReAct: Synergizing Reasoning and Acting in Language Models by Yao and Cao (https://ai.googleblog.com/2022/11/react-synergizing-reasoning-and-acting.html) Episode 279: Intro to zkpod.ai with Anna and Kobi (https://zeroknowledge.fm/279-2/) Bonus: zkpod.ai & Attested Audio Experiment with Daniel Kang (https://zeroknowledge.fm/bonus-zkpod-ai-attested-audio-experiment-with-daniel-kang/) BabyAGI GitHub (https://github.com/yoheinakajima/babyagi) Auto-GPT (https://auto-gpt.ai/) PixelBeasts (https://www.pixelbeasts.co/about) Stable Diffusion (https://stability.ai/blog/stable-diffusion-public-release) DALL·E 2 (https://openai.com/dall-e-2) Midjourney (https://www.midjourney.com/home/?callbackUrl=%2Fapp%2F) OpenAI (https://openai.com/) Playground AI (https://playgroundai.com/) LangChain (https://python.langchain.com/docs/get_started/introduction.html) LlamaIndex (https://llamaindex.ai) Dust (https://dust.tt/) Universal Paperclips: the game by Frank Lantz (https://www.decisionproblem.com/paperclips/index2.html) AI and the Paperclip Problem (https://cepr.org/voxeu/columns/ai-and-paperclip-problem) Check out the Modular Summit here: https://modularsummit.dev/ (https://modularsummit.dev/) zkSummit 10 is happening in London on September 20, 2023! Apply to attend now -> zkSummit 10 Application Form (https://9lcje6jbgv1.typeform.com/zkSummit10) Anoma's (https://anoma.net/) first fractal instance, Namada (https://namada.net/), is launching soon! Namada is a proof-of-stake L1 for interchain asset-agnostic privacy. Namada natively interoperates with fast-finality chains via IBC and with Ethereum via a trustless two-way bridge. For privacy, Namada deploys an upgraded version of the multi-asset shielded pool (MASP) circuit that allows all assets (fungible and non-fungible) to share a common shielded set – this removes the size limits of the anonymity set and provides the best privacy guarantees possible for every user in the multichain. The MASP circuit's latest update enables shielded set rewards directly in the shielded set, a novel feature that funds privacy as a public good. Follow Namada on twitter @namada (https://twitter.com/namada) for more information and join the community on Discord discord.gg/namada (https://discord.com/invite/namada) If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)

Yohei Nakajima is the General Partner at Untapped Capital, a pre-seed and seed-stage focused fund investing in under-represented founders in the US. At Untapped Capital, the sweet spot is investing $100k-$250k checks into startups based raising at $3-7m in valuation. Yohei has been supporting early-stage startups for 15 years, originally starting on the community side organizing events and educational courses for founders out of coworking spaces. He has spent the last 7 on the investing side, initially at Techstars where he helped spin up the Disney Accelerator alongside The Walt Disney Company, followed by his role as Director of Pipeline, supporting all 30+ Techstars accelerator programs in recruiting the best startups worldwide. Prior to Untapped, he was at Scrum Ventures, where he led the development of Scrum Studio, designing, leading, and overseeing our partner programs with Nintendo, Dentsu, Panasonic. . . . Episode Notes: Intro (2:38) Why venture? (3:52) Thesis origin and resonance with founders (8:04) Yohei's builder persona and its influence on his investor persona (16:03) Sourcing through outbound (23:40) Non-negotiables as an investor (28:40) Knowledge sharing as a fund manager (33:34) Future of Untapped Capital (35:15) LP's learnings from Yohei (36:26) Advice for emerging fund managers (39:26) Fundraising surprises as a fund manager (42:05) Learnings from portfolio founders in early stages (44:52) Yohei's decision-making process and framework (48:48) Advice for his younger self (50:30) . . . Social Links: Untapped Capital on Twitter: https://twitter.com/UntappedVC Yohei on Twitter: https://twitter.com/yoheinakajima Podcast on Twitter: https://twitter.com/thedesi_vc Akash Bhat on Twitter: https://twitter.com/bhatvakash Podcast on Instagram: https://instagram.com/thedesivc Akash Bhat on Instagram: https://instagram.com/bhatvakash

In this USS x Comics Corner crossover episode, Pat, Yohei and Sean are here to talk some Spider-Man! Popular sneakers appear throughout the various film franchises and have also led to some amazing collaboration from shoe companies in a big way.

Pat, Yohei and Marc discuss current events in the sneaker world, as well as in in-depth review of the new Nike movie Air. Head over to youtube.com/@untitledshoeshow for the video!

Samurai, subtitles, and sad faces. This week we mourn the loss of the great and expressive Yohei in 1954's Seven Samurai. If you've got a favorite movie, chances are they've never seen it. Armed with a list of 52 films, each week Cam, Danielle, Nick, and Carl recap a movie they should've seen, but haven't. Join them on this year-long journey in The Big Room. Join our Discord! https://discord.gg/8Xx4yakz26 Follow us! YouTube: https://www.youtube.com/@thebigroompod TikTok: https://www.tiktok.com/@thebigroompod/ Instagram: https://www.instagram.com/thebigroompod/

Olivier Poels nous raconte comment, au début du 19e siècle, un chef nippon a eu l'idée de génie de créer ces fameuses petites boulettes de riz surmontées d'un morceau de poisson cru : les sushis.

Olivier Poels nous raconte comment, au début du 19e siècle, un chef nippon a eu l'idée de génie de créer ces fameuses petites boulettes de riz surmontées d'un morceau de poisson cru : les sushis.

We're back with another packed show of Vancouver Whitecaps, Major League Soccer, and Canadian football chat. The new MLS season is just days away. Excited yet? Well you should be because this feels like it could be a good year for the Whitecaps. We look at how ready the team feels heading into it's season opener at home to RSL and chat with head coach Vanni Sartini and Sporting Director Axel Schuster to gauge how they're feeling ahead of the new campaign. Their final two preseason signings have finally been announced and we hear from new Japanese goalkeeper Yohei Takaoka about why he's chosen to make the move to MLS, why Vancouver is a great landing spot for him, and how excited he is to get this new chapter of his career underway. We also hear from Axel Schuster about why they were so keen to bring the J1 champion to the Whitecaps. All of this plus we look at the Whitecaps new jersey and the announcement of a new shirt sponsor, take a look at the best and worst of the 2023 jerseys around MLS, and ponder whether the new Apple TV deal is going to be beneficial or detrimental to the Whitecaps in the short term. Here's the rundown for the main segments from the episode: 01.30: Intro - RIP Christian Atsu, Whitecaps STH package, Hot Chocolate Festival is over 09.57: Vanni Sartini chats as Whitecaps preseason wraps up 22.56: How ready are the Whitecaps for 2023 season ahead? 46.02: Yohei Takaoka talks about coming to the Whitecaps and MLS 54.40: Whitecaps goalkeeping discussion with audio from Axel Schuster 68.38: Axel Schuster looks ahead to the 2023 season 79.40: Is Apple TV deal beneficial or detrimental to the Whitecaps? 95.12: The 'Caps have a new jersey and a new shirt sponsor 108.25: 2023 MLS jerseys discussion 129.20: Wavelength - Jackdaw4 - The Beautiful Game

Pat and Yohei are back, this week to settle the age old debate: Which brand reigns supreme? This episode features a brief history about each company, fun facts, athlete involvement, overall style, and more. Thanks for tuning in!

The time has come! Time for Pat and Yohei to rank their top ten favorite shoe releases from this year. Some very creative designs came out this year and we are excited to share the ones we thought stood out the most. 

Welcome to another episode of the Build In Public Podcast.Today's episode features Yohei Nakajima, an entrepreneur, investor and productivity geek. Yohei is currently a General Partner at Untapped Capital which is a pre-seed/seed VC firm investing in unexpected founders, found off the beaten path, not yet well connected into the global startup ecosystem. In this interview, Yohei shares his insights and perspectives on topics such as:● Yohei's career and his roles at Techstars, Scrum Ventures and now at Untapped● His working thesis and the fund's focus● How he took 1000+ LP meetings to successfully raise money for his fund● Focusing on the power of Outbound as an pre-seed investor and its strategic advantages● What his ‘Mentor Madness' and ‘Hunting Mode' is all about.● Proactive sourcing mentors and how to talk to them● How he looks for companies and employees through different websites effectively● The importance of talking to more people, pitching, and facing the fear of rejection.● His strategy for portfolio construction● His thoughts on “micro-meditation” Build In Public Podcast is an interview show where KP chats with ambitious startup founders, CEOs, and top Internet creators to unpack their stories, insights, and lessons.Thanks for listening! Links:Yohei's website: https://yoheinakajima.com/Yohei's Twitter: https://twitter.com/yoheinakajimaUntapped VC: https://www.untapped.vc/KP's Twitter: https://twitter.com/thisiskp_KP's YouTube Channel: https://www.youtube.com/c/KarthikPuvvadaKP

Film scores, field recordings, and moving from Japan to West Virginia. Yohei Shikano (YOHEI) "Yohei is a composer and producer from Tokyo, Japan, based in Los Angeles. He makes his music outside in the garden with friends. In addition to his solo effort, Yohei created My Hawaii and is a part of Moonie Moonie. He also composed and produced the music for the feature film "Hee" (directed by Kaori Momoi)." Excerpt from https://www.yoheishikano.com/info Yohei Shikano: Bandcamp: https://yohei1979.bandcamp.com Instagram: @yohei.is.yohei Website: https://www.yoheishikano.com Merch: https://yohei1979.bandcamp.com/merch The Vineyard: Instagram: @thevineyardpodcast Website: https://www.thevineyardpodcast.com Youtube: https://www.youtube.com/channel/UCSn17dSz8kST_j_EH00O4MQ/videos

Hanaya Yohei è il primo a servire dei bocconcini di riso aromatizzati all'aceto, sormontati da piccole fette di pesce crudo. Da metodo di conservazione del pesce a pietanza vera e propria il sushi nasce nel 1820 a Tokyo grazie a un giovane e intraprendente cuoco.

【本集介紹

The internet seems to be filled with talk of NFTs and Web3 - so what the heck are they and how can one get involved?An NFT is a ‘non-fungible token'. They are cryptographic assets that exist on a blockchain. Each NFT consists of unique identification codes and metadata that distinguish them from each other. NFTs can be used as a medium for commercial transactions. Web3 is an idea for a completely new iteration of the World Wide Web that we know and currently use. This new structure will be based on blockchains and will be connected to decentralization and token-based economics (like NFTs and Cryptocurrency).In this episode, we'll be chatting to Yohei Nakajima about what we should make of NFTs and Web3, as well as how we can start educating children about this exciting new direction that will be shaping our future. Yohei Nakajima has worked exclusively with startups his entire career, specializing in helping startups to build relationships. Today he runs Untapped Capital, a pre-seed Venture Capital firm investing in unexpected founders, not well connected to VCs, primarily sourced through outbound. He started building this skill set at Techstars, where he helped spin-up the Disney Accelerator before his role as the Director of Pipeline, where he supported all 30+ Techstars accelerator programs in recruiting startups. In addition to running Untapped Capital, he runs PixelBeasts, a kid-friendly IP and 10k NFT collection for VCs and founders exploring web3 together.Let's keep the inspiring discussion going! Discover our events, articles, and more with these links:InspirEd MagazineInspirEd EventsJoin our mailing listYou Tube

Pat and Yohei have each compiled their lists for the top ten shoes of last year. See if any of your favorites from 2021 made the list, maybe even message us on Instagram @threadsanddreadspod, or Yohei @unmovable and tell us what you think!

留言告訴我你對這一集的想法： https://open.firstory.me/story/ckx0hqdzv13v00925dnpweslh?m=comment 【本集介紹

In this episode. Yohei Nakajima, a General Partner at Untapped Capital and the creatpr of PixelBeasts, discusses his work in the NFT space. He begins by describing his experiences as a venture capitalist. He explains how he became interested in NFTs and began creating his own NFT projects. He discusses how he decided to create the PixelBeasts NFT project, and how the project developed over time. He reflects on what he learned creating the project, and how it has inflected his understanding of the NFT space. And he discusses how he sees the NFT space developing in the future. Nakajima is on Twitter at @yoheinakajima.This episode was hosted by Brian L. Frye, Spears-Gilbert Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at @brianlfrye. See acast.com/privacy for privacy and opt-out information.

Pat, Yohei, Sean and Jack are back with The Untitled Shoe Show. This week Yohei ranks the top ten coolest sneaker packaging, and list is full of extremely creative designs from all the big brands. Whether you like shoe boxes shaped like milk cartons or packs of cigarettes, there's something for you in this countdown.

This week Pat and Sean are joined by our good friends Yohei and Jack to discuss the new Dune movie. The movie Tremors might come up at some time as well, just a heads up. Also, stay tuned for an all new Untitled Shoe Show with Yohei which will drop in the next couple days. Thank you for listening everyone, and we'll see you on Arrakis! 

FIRST TRANS-ATLANTIC EPISODE featuring special guest and SRS immediate past-president Dr. Muharrem Yazici from Ankara, Turkey.  Featured discussion focuses on graduation strategies for Early-Onset scoliosis patients treated with distraction-based growing rods. We also dive into other recent studies in the lightning round discussing long-term follow-up of discoid meniscus surgery, THA in patients with open tri-radiates, the use of antibiotics in supracondylar humerus fractures, and what steps individuals can take to promote diversity in orthopedic surgery.  Your hosts are Craig Louer from Vanderbilt University, Josh Holt from The University of Iowa, and Carter Clement from Children's Hospital of New Orleans. Music by A.A. Alto. Links: pedsorthopodcast@gmail.com Twitter: @CraigLouer Twitter: @CarterClementMD High-Yield OITE Webinar Link: https://zoom.us/webinar/register/4916341745008/WN_NnSH1O0TTpSvhFLiCBUxhQ   Featured article: Clinical Outcomes of 3-column Osteotomy at Growing Rod Graduation Cayli, Cem MD*; Dursun, Gokay MD*; Cetik, R. Mert MD*; Ramazanov, Rafik MD†; Demirkiran, H. Gokhan MD*; Ayvaz, Mehmet MD*; Yazici, Muharrem MD* Hacettepe University Hospital, Ankara, Turkey. Lightning Round: Rate of Scoliosis Correction After Anterior Spinal Growth Tethering for Idiopathic Scoliosis Takahashi, Yohei, MD; Saito, Wataru, MD, PhD; Yaszay, Burt, MD; Bartley, Carrie E., MA; Bastrom, Tracey P., MA; Newton, Peter O., MD;  The Journal of Bone and Joint Surgery - Scientific Articles: 08 July 2021 - Volume 103 - Issue 18 - p. 1718-1723 Minimally Invasive Fusionless Surgery for Scoliosis in Spinal Muscular Atrophy: Long-term Follow-up Results in a Series of 59 Patients Mathilde Gaume, Etienne Saudeau, Marta Gomez-Garcia de la Banda, Viviane Azzi-Salameh, Blaise Mbieleu, Delphine Verollet, Audrey Benezit, Jean Bergounioux, Aben Essid, Isabelle Doehring, Ivana Dabaj, Isabelle Desguerre, Christine Barnerias, Vicken Topouchian, Christophe Glorion, Susana Quijano-Roy, Lotfi Miladi Long-term Minimum 15-Year Follow-up After Lateral Discoid Meniscus Rim Preservation Surgery in Children and Adolescents Lins, Laura A.B. MD, MPH, ATC*; Feroe, Aliya G. MPH†,‡; Yang, Brian MD§; Williams, Kathryn A. MS†; Kocher, Sophia D.∥; Sankarankutty, Saritha MBBS†; Micheli, Lyle J. MD†,‡; Kocher, Mininder S. MD, MPH†,‡ Boston CHildrens Hospital Assessment of the Viability and Union Feature of Diaphysis Reconstruction Using Pasteurized Tumor Bone and Intramedullary Free Fibular After Tumor Resection Ji, Tao MD*; Li, Yuan MD†; Xing, Zhili MD‡; Tang, Xiaodong MD*; Yang, Rongli MD*; Guo, Wei MD, PhD* The Open Triradiate Cartilage: How Young Is Too Young for Total Hip Arthroplasty? Rainer, William DO; Shirley, Matthew B. MD; Trousdale, Robert T. MD; Shaughnessy, William J. MD Efficacy of Antibiotics in Supracondylar Fractures Bhatt, Etasha MD*; Ridley, Taylor J. MD†; Kruckeberg, Bradley MD‡; Quanbeck, Zachary MD*; Quanbeck, Deborah S. MD*,§,∥; Schiffern, Alison MD*,§,∥ Brooks, J., & Caird, M. (2021). It's Not a Stereotype if It's True . . . Right? Creating Welcoming Environments in Pediatric Orthopaedics. JPOSNA, 3(3). Retrieved from https://www.jposna.org/ojs/index.php/jposna/article/view/318 Brooks, J., Cho, R., Franklin, C., Hammouri, Q., Payares-Lizano, M., Poon, S., Sabatini, C., & POSNA JEDI Committee. (2021). Just the Beginning – A Brief Look at the Past, Present, and Future of POSNA Diversity. JPOSNA, 3(3). Retrieved from https://www.jposna.org/ojs/index.php/jposna/article/view/313

The NFT-aware community is still relatively small but explorations into the world of NFT don't have to be lonely. With a great, creative community to explore with, the NFT space can feel like a big, friendly party. Yohei Nakajima is taking this concept up a notch and developed a generative NFT collection full of curious creatures exploring the metaverse looking for friends to play with: PixelBeasts. He joins today's episodes to take us deep into his 10K NFT project, sharing how he started in the world of NFT while continuing his career as an early-stage venture capitalist. We learn lots from Yohei. He talks about the visible and invisible attributes that are driving rarities. He discusses the communities of tech investors and NFT enthusiasts that he's encountered. He shares his philosophy behind not choosing to have a roadmap for PixelBeasts. There are so many more nuggets in this conversation, so don't miss out and get to know Yohei and PixelBeasts.More from Edge of NFT:

The NFT-aware community is still relatively small but explorations into the world of NFT don't have to be lonely. With a great, creative community to explore with, the NFT space can feel like a big, friendly party. Yohei Nakajima is taking this concept up a notch and developed a generative NFT collection full of curious creatures exploring the metaverse looking for friends to play with: PixelBeasts. He joins today's episodes to take us deep into his 10K NFT project, sharing how he started in the world of NFT while continuing his career as an early-stage venture capitalist. We learn lots from Yohei. He talks about the visible and invisible attributes that are driving rarities. He discusses the communities of tech investors and NFT enthusiasts that he's encountered. He shares his philosophy behind not choosing to have a roadmap for PixelBeasts. There are so many more nuggets in this conversation, so don't miss out and get to know Yohei and PixelBeasts.

Inside baseball or just a friendly chat? Listeners, you be the judge. Yohei Nakajima is a second generation venture capitalist and co-founder, along with Jessica Jackley, of Untapped Capital - a recently announced venture firm focused mainly on outbound founder discovery. Yohei and Rob discuss everything from their time in accelerators to the best way to build up a public company persona. This episode is especially of interest to anyone a part of or considering joining the startupland ecosystem and/or wondering how venture capital firms must market themselves to both their investors and investments. See acast.com/privacy for privacy and opt-out information.

This week we had on Yohei Nakajima (@yoheinakajima) of Untapped Capital. Untapped is an early-stage fund that bets on overlooked founders. Yohei has built up a massive network through previous experiences at Disney, Techstars, and Scrum Ventures, and part of Untapped's strategy involves leveraging that network to help his portfolio companies succeed. In this talk, we discuss: Some of the flaws around relying on referrals for deal flow Betting on businesses making real impact on the world No-code and the expansion of opportunity when removing barriers to development

SPOILERS! We are joined by our good friend Yohei to get his reaction to the new Fast and Furious film. There were laughs, cries, and everything in between when dealing with this ninth installment from the blockbuster franchise. What was suppose to be a Patreon bonus episode was too good to lock away from world. Enjoy!

The Untitled Shoe Show is back! Pat and Yohei each have their own top ten lists they'd like to discuss, and it's about to get ugly. No major sneaker brand is safe in this countdown, but we think you'll agree with the choices that were made. Thanks for tuning in, be sure to follow @threadsanddreadspod and @unmovable on Instagram, and check out patreon.com/threadsanddreads for bonus content.

Yohei a appris la cuisine française au Japon, puis chez des étoilés, en France. En 2020, il prend la tête d'un restaurant annécien. Objectif : Michelin, Gault et Millau... et même plus !

 « Je veux aller toujours plus loin, réussir quelque chose de grand » affiche d’emblée Yohei, avec son accent japonais. Un caractère déterminé qui l’a poussé, assez jeune, à traverser le globe pour aller se former auprès de chefs étoilés français. Il gravit tous les échelons, découvre, applique. Jusqu’à cette année 2020. L’année des défis : tenter Top Chef, et se faire embaucher à la tête du restaurant La Ciboulette, à Annecy. La table réputée a perdu son étoile, suite au départ de Georges Paccard. Tout est à recommencer, avec un nouveau chef et une nouvelle équipe. Marier les ingrédients locaux et les épices et notes japonaises Yohei arrive en pleine pandémie. Sa première carte sera vendue à emporter ou livrer. Le filet de truite gravelax, gelée de concombre au shiso et algues, pâté en croûte, Tataki de thon... « Il faut penser au goût mais aussi au contenant, à la manière dont ce sera réchauffé, au temps de livraison… C’est une gymnastique ! » raconte le chef. Dans un coin de sa tête, Yohei Hosaka commence à penser à sa carte du déconfinement, quand enfin sa terrasse et sa salle pourront rouvrir. « Je vais continuer à marier les ingrédients locaux et les épices et notes japonaises. Je cherche l’originalité». Etre créatif, se remettre en question tout le temps et travailler beaucoup. Trois ingrédients que le chef compte exploiter pour décrocher les étoiles, en France et à l’International.   La Ciboulette est en pause jusqu'au 10 mai, pour préparer la ré-ouverture. Toutes les informations actualisées sur la page Facebook de l'établissement.     

Yohei is back in studio for The Untitled Shoe Show with not one, but two amazing Star Wars inspired Adidas sneakers. Hear him and Pat give a little back story to these shoes, discuss the Supreme x HYSTERIC GLAMOUR collab, and more.

Pat and Yohei are joined by our special guest and fellow sneaker head Joey Belle to countdown their favorite Nike Air Max releases.  Yohei and Joey tried to steer clear of traditional colorways and try to highlight some more unique creations. March is Nike Air Max month, so don't sleep on this countdown!

durée : 00:03:08 - Les Savoyards d'ici et d'ailleurs - Yohei Hosoka a 37 ans, il est né au Japon dans le Nord du pays, dans la région d'Akita, au nord de l'île de Honshù.

Pat sits down with our good friend Yohei (AKA Unmovable) to discuss some awesome sneakers that you may not be familiar with, but you should be. The list includes some very creative footwear including the "Michael Lau" Nike Air Wildwoods, "Kawasaki Ninja" New Balance 993, and "LeBron James" Air Jordan 9 PE. Go follow Yohei on Instagram (@unmovable), shout outs to Highland Throwbacks (@highlandthrowbacks), Sole Classics in Columbus, OH (@soleclassics) and Fuego Fermentations (@fuegofermentations).

Eric in the Morning with Melissa & Whip - WTMX-FM Chicago

2020.6.17 Vol.37 MC MAMUSHI's Radio Show BIG BAD SPEAKERS【福岡のびっくり箱！YOHEIと「自分らしさ」というメンタリティについて120分コース完全保存版！】

We sat down with Skater Yohei Miyazawa and hear how he grew up loving hockey until a skateboard changed everything

Matt has an inspiring conversation with Yohei Takahashi, the entrepreneur behind Dean & DeLuca Hawaii, and his new Executive Chef Kevin Carvalho. From Tokyo and The Big Island, respectively, this creative team has quietly transformed the always stellar Dean & DeLuca brand into something very local and very unique to Hawaii. https://www.deandeluca-hawaii.com

In this episode, I met the famous Japanese bespoke shoemaker Yohei Fukuda, who besides making some of the finest shoes in the world, also have been very successful with creating a brand image, something quite difficult especially for small bespoke shoemakers. It’s around this topic we focused our discussion.

Oceanic oxygen expert Yohei Takano joins me to discuss his pathway into science, his experience navigating different countries/cultures, and the importance of the global oxygen cycle.

This week, Jack and Connor are joined by Dr Yohei Yamauchi to hear about how an influenza virus particle is unpacked after breaking into a cell. This is an incredibly important part of the viruses life cycle as all viruses must enter into our cells in order to cause an infection. You can find out more about Yohei’s work over at his lab's website, https://www.yamauchilab.com, or check out some of our previous content about flu over at cvrblogs.myportfolio.com. Music: The Zeppelin by Blue Dot Sessions (http://freemusicarchive.org/music/Blue_Dot_Sessions/Aeronaut/The_Zeppelin_1908)

Simon and Martina's friend Yohei is known as an 'Onsen Otaku'. Just how far does he go to experience the greatest hot springs Japan has to offer?

MORE INTERVIEWS FROM THE HATEFUL EIGHT http://bit.ly/1ITs4ie CONNECT WITH YOHEI TANEDA http://yoheitaneda.com/en http://www.imdb.com/name/nm0849222 CONNECT WITH FILM COURAGE http://www.FilmCourage.com http://twitter.com/#!/FilmCourage https://www.facebook.com/filmcourage http://filmcourage.tumblr.com http://pinterest.com/filmcourage SUBSCRIBE TO OUR FILM COURAGE YOUTUBE CHANNEL http://bit.ly/18DPN37 LISTEN TO THE FILM COURAGE PODCAST https://soundcloud.com/filmcourage-com PROMOTE YOUR MOVIE, WEBSERIES, OR PRODUCT ON FILM COURAGE http://bit.ly/1nnJkgm SUPPORT FILM COURAGE http://www.patreon.com/filmcourage

The global energy markets are transforming themselves right before our eyes. Very little fundamental change has occurred over the past 70 years, but 10 years from today the Japanese and global markets are going to look completely different.  Today we sit down with Yohei Kiguchi CEO in Enechange, Japan’s largest retail energy switching platforms, and we dive into detail about how these markets are changing. We talk about Enechange’s business model, of course, but we also discuss the most effective strategies for startups who need to compete against large incumbents, and that advice holds true for startups in Japan or anywhere else in the world. Yohei also has some interesting observations on why Japan is a better place to start a company than the UK or Europe. It’s a fascinating discussion, and I think you’ll enjoy it. Show Notes How to identify a promising startup opportunity in Japan What’s driving change in Japan’s energy markets How to appeal to Japanese investors from overseas The importance of TV advertising in Japan How to make money in a slow-growth industry When Japan's nuclear plants will be turned back on How Japan's IPO markets gibe Japan a strategic advantage Why enterprise upper management is leaving to join startups in Japan Links from the Founder Check out Enechange SMAP Energy's website [shareaholic app="share_buttons" id="7994466"] Leave a comment Transcript Welcome to Disrupting Japan, straight talk from Japan's most successful entrepreneurs. I'm Tim Romero and thanks for joining me. I surprised a lot of my friends and fans last year when I joined TEPCO, Japan's largest electric utility. I admit, at first glance, it seems a pretty radical departure from my history in startups and in most ways, it is. However, there's a transformation going on right now in energy all over the world, and while there's been very little disruption in the energy markets over the past 70 years, 10 years from now, the markets will look nothing like they do today. Well, today, we sit down with Yohei Kiguchi, CEO of Enechange, one of the more innovative startups building a business in the new energy markets. Now, before you understand what Enechange does, I need to give you a little bit of background on how energy deregulation is working around the world and the story of the coming disruption is quite similar in all developed nations. Since the days of, well, Thomas Edison, really, the power company was responsible for creating the electricity, building and maintaining the power grids to transmit that electricity across the country, and then billing the customers for the electricity they used. Because of the cost involved and the importance of universal and reliable electricity, it made sense for this to be done by a single, tightly-regulated monopoly and that's how things stayed for about 100 years, but over the past decade, around the world, the cost of generating electricity have dropped and we've seen smaller, more affordable plants, and a proliferation of sore. On the retail side, smart meters and the internet has made it easier to collect data and to be bill customers, and so markets around the world are being deregulated with power generation, power transmission, and retail billing all being handled by separate companies. While power regulation gets most of the press, most of the market disruption has focused on the retail side with hundreds of companies entering the market and many offering steep discounts. Around the world, electricity consumers have never had this much choice, and that's where Enechange comes in. Enechange is by far Japan's largest energy-switching website. It provides tools that allow consumers and businesses to shop for the best or the cheapest energy supplier, but as Yohei explains, the cheapest is not usually the best and Yohei also has some interesting observations on why Japan is a better place to start a startup than ...

Titan - Dr Yohei Tanaka by Trish Hammond

イラスト画像を見る Illustration by Ryohei Nakano Music by yohei gokita 楽曲名 : Iris ”[otogi-015] 植物図鑑Ｉ” へ移動 小さい頃、図鑑に夢中だった...

[otogi-014] 2016/03/01 Released ジャケット画像を見る gokita yohei による作品集、静謐なアンビエンスを帯びたメロディアスなエレクトロニカ。   ”[otogi-014...

[otogi-014] 2016/03/01 Released ジャケット画像を見る gokita yohei による作品集、静謐なアンビエンスを帯びたメロディアスなエレクトロニカ。   ”[otogi-014...

[otogi-014] 2016/03/01 Released ジャケット画像を見る gokita yohei による作品集、静謐なアンビエンスを帯びたメロディアスなエレクトロニカ。   ”[otogi-014...

[otogi-014] 2016/03/01 Released ジャケット画像を見る gokita yohei による作品集、静謐なアンビエンスを帯びたメロディアスなエレクトロニカ。   ”[otogi-014...

[otogi-014] 2016/03/01 Released ジャケット画像を見る gokita yohei による作品集、静謐なアンビエンスを帯びたメロディアスなエレクトロニカ。   ”[otogi-014...

Yohei's projects over the years include the films: Swallowtail Butterfly, Kill Bill: Vol. 1, the animated feature, Ghost in the Shell 2: Innocence, Hula Girls, Air Doll, Warriors of the Rainbow: Seediq Bale, and The Flowers of War.Some of Yohei's more recent projects include: the Oscar nominated animated feature When Marnie Was There for Studio Ghibli, The Hateful Eight, for Quentin Tarantino, and Monster Hunt for Raman Hui.  

1st Hour : SATOSHI IMANO 2nd Hour : yohei HIBIKI

41 LA Written and presented by: Yohei, Momoko & Yusuke. Download MP3

Chillout, House

Play: Left click Download: Right click, save link as OR save target aswww.EnglishMeeting.com Subscribe to EnglishMeeting.comGasoline prices rise as we see oil companies make record profits. What can we do about a serious problem that people don't openly protest? How can we shift our dependency from fossil fuel to alternate energy forms? A rallying call for action from our international forum.Yohei, Katrin, Esther, Arman, & Dave weigh in with perspectives from Japan, Korea, Iran, & America