Podcasts about waas

Peter Heerschop is cabaretier, acteur en columnist. Op de sportacademie leerde hij zijn vaste cabaret partners Viggo Waas en Joep van Deudekom kennen. Samen richtten ze de cabaretgroep NUHR op. Sindsdien werkten ze vaak samen, zowel op het toneel als op televisie. Verder werkte hij mee aan  programma's als ‘De Lama's' en ‘Even tot hier'. Daarnaast schreef hij jarenlang de populaire wekelijkse column ‘Lieve Marianne' voor Radio 538. Momenteel luidt hij elke vrijdagmiddag het weekend in bij Humberto op NPO Radio 1. Met ‘van Peter, met liefde' gaat hij op zoek naar de diepere lagen in het nieuws. Nu komen Heerschop en Waas met de voorstelling ‘Jeugd', misschien wel hun laatste samen. Ze verkennen het thema 'jeugd', aan de hand van hun eigen herinneringen, de verhalen van collega's en de ervaringen van het publiek. Femke van der Laan gaat met Peter Heerschop in gesprek.

Vanavond met Sophie: historische stemmingen in de Bondsdag. Friedrich Merz kreeg tóch genoeg stemmen voor de benoeming tot bondskanselier. Europol luidt de noodklok voor jongeren die online worden geronseld voor zware criminaliteit. En Viggo Waas en Peter Heerschop staan weer samen op de planken, nu met de voorstelling ‘Jeugd'.  

Web už dávno nie je jednorazový projekt, ktorý po spustení žije vlastným životom. Čoraz viac firiem prechádza na model Website as a Service (WaaS) – predplatné, ktoré zahŕňa nielen tvorbu, ale aj dlhodobú správu, technickú podporu, úpravy dizajnu či marketingové prídavky. V rozhovore zaznievajú praktické príklady, prečo je WaaS výhodnejší než klasický projekt, ako funguje férový prístup k vlastníctvu dizajnu, aj prečo sa WordPress môže stať časovanou bombou. Ak chcete, aby váš web rástol spolu s vaším biznisom a nie zostarol na šablóne z roku 2014, toto je smer, kam sa pozrieť. Viac o tejto problematike nám povedal Vilém Arbeit, CEO Sharkani.https://www.ecommercebridge.sk/Webova-stranka-ako-sluzba-WaaS00:00 Úvod02:23 Čo znamená služba Website as a service (WAAS)?04:50 Aký je rozdiel od webu na splátky? 09:02 Je tento prístup vo svete bežný? 17:58 Porovnanie oproti klasickému WordPressu21:56 Spravujú v Sharkani v rámci paušálu aj kampane? 25:26 Ako k tomu pristupujú noví ľudia v spoločnostiach? 29:42 Budú takto o 5 rokov fungovať všetky weby? 31:36 ZáverEcommerce Bridge SK: https://www.ecommercebridge.sk/Ecommerce Bridge CZ: https://www.ecommercebridge.cz/Sledujte nás na sociálnych sieťach ⬇️LinkedIn:SK https://www.linkedin.com/company/ecommerce-bridge-slovensko/CZ https://www.linkedin.com/company/ecommerce-bridge-cesko/Facebook:SK https://www.facebook.com/ecommercebridgeslovenskoCZ https://www.facebook.com/EcommerceBridgeCeskoTwitter:SK https://twitter.com/ecommbridgeskCZ https://twitter.com/ecommbridgecz

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

I talked with an expert in the space about how to create + keep updated a law firm website. Episode Highlights 01:21 - Real-life law firm scenarios. 02:04 - Building and maintaining law firm websites. 05:50 - Subscription model for websites. 06:56 - Website as a service (WaaS) strategy. 07:50 - Transitioning from trades to tech. 13:03 - Modern website design trends. 15:08 - Dealing with outdated websites. 16:12 - AI's impact on SEO and content quality. 18:59 - The shift to quality content emphasis. 20:39 - AI in automating client onboarding. 25:11 - Convincing skeptics of AI benefits. 27:55 - Importance of personal branding online. 31:50 - Ensuring website security and compliance. Episode Resources Connect with Jared Correia jared@redcavelegal.com https://redcavelegal.com/ https://www.linkedin.com/in/jaredcorreia https://twitter.com/RedCaveLegal www.linkedin.com/in/jaredcorreia/ Connect with Michael Pratt michael@execuservices.net https://getwaas.io/ 

The legendary Chad Lantz, Aftermarket Customer Support Technician, joins us to give us an insider's perspective and rundown on receivers during his 35 years with the dealership. Tune in to hear how WAAS has evolved, some history fun facts, the true accuracy of SF-RTK, TRULAND's base station plans, and more in this episode the history buffs and visionaries won't want to miss.

Ever heard of WaaS? If not, you're about to...

Stardust is a $35M funded web3 gaming infrastructure and user acquisition service provider's Wallets-as-a-Service (WaaS) product and provides game development tools to build and scale blockchain games. Stardust's Wallets-as-a-service (WaaS) is used by more than 90 active game studios. Why you should listen Stardust's platform offers game developers easy access to the most scalable, secure, and compliant infrastructure for invisible player wallets while empowering them with user acquisition and attribution resources necessary to accomplish their revenue and player retention goals. Headquartered in Palo Alto, California, Stardust supports major gaming studios like Midnight Society, Shrapnel, Habbo, Tilting Point, Stillfront, and more. Stardust recently announced the Starbase, a consumer-facing unified rewards and social gaming platform. Partnering with game titles like Nifty Island, Shrapnel, BloodLoop, Habbo Hotel, Cap'n'Company, and more, Starbase features missions and challenges that allow players to earn Gems while they play their favourite games. Gems are a part of a larger rewards system that aligns incentives between players, games, and advertisers through a broader network called Starnet. The company will be unveiling partners on a weekly basis and has already onboarded over 20 of the top web3 games to the Starbase missions platform. Stardust recently announced a strategic partnership with Shrapnel, a highly-anticipated AAA first-person extraction shooter. The partnership plans to provide scalability to take the first-person shooter to the next level - with the potential to bring tens of millions of players into the blockchain gaming space. WaaS product enabled Shrapnel to offer invisible, custodial wallets to players, providing a seamless game experience while leveraging the underlying Shrapnel subnet. Supporting links Stabull Finance Stardust Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.

Hot enough for you, Data Center Therapy listeners?Go ahead, grab a plate of ribs, corn, and green beans, and belly up to the listening picnic table, as your ears get to feast on the freshness that is Episode 94.  In this one, our sun-drenched hosts, Mr. Matt “8 Panel Chamois” Yette and Mr. Matt “Deep Cycle Marine” Cozzolino share their summer exploits along with a healthy heaping of topical news items from the world of I.T.In this episode, you, our loyal DCT fans, will get to hear about:The durability issues plaguing Intel's 13th and 14th generation CPUs, along with their announced layoffsSoftware testing, and some relevant details surrounding the CrowdStrike incident that affected millions of Windows systems worldwideThe complications that affect storage management and backups surrounding Docker containersWhile the boys also muse about the vagaries of automated testing suites and forced updates of software (both on desktop and mobile platforms) the Matts also discuss their latest home lab upgrades, StarLink on boats, and much more.  Give it a listen and get your healthy dose of I.T. empathy from DCT.Reminders: The Aria Operations Workshop is August 8th; register for it here.The Aria Operations Class is September 24th; register for it here.The in-person IVOXY VMware Explore Redux Event in Portland, Olympia and Seattle are September 10th, 11th, and 12th, register for those events here:9/10/24 - Portland, OR9/11/24 - Olympia, WA9/12/24 - Seattle, WAAs always, if you enjoy the show, please be sure to like, share with three colleagues and subscribe wherever you get your quality podcasts.  From the DCT crew - Stay cool, stay protected, be informed and see you at the next event and episode, compadres! 

As founder Rachel Gross retires after 45 years of directing the Death Row Support Project, faithful penpals share stories of their relationships with people sentenced to death. In this episode, Rachel Gross and Anna Lisa Gross interview Kurt Borgmann and David Waas. Nancy Miner plays "Move in our Midst" and Kara Miller plays "I have decided to follow Jesus" on piano.  Check out this audio series through Messenger Radio, watch for upcoming written and video interviews, and join in the gratitude reception for Rachel at Annual Conference on July 5. Learn more about Death Row Support Project at https://www.brethren.org/drsp/ and https://www.facebook.com/deathrowsupportproject.

In this episode, we explore the importance of API discovery in securing web applications and APIs, focusing on how Prisma Cloud WAAS enhances API security through effective discovery mechanisms.

Clarisse Hagège is the Co-Founder & CEO @ Dfns (https://www.dfns.co). Backed by Coinbase, 6MV, Figment, & more, Dfns is the WaaS (wallets-as-a-service) platform chosen by leading organizations to streamline digital asset operations and onboard users into crypto, safely. With >1M wallets created, 0 wallets hacked,  and >$500M transactions secured, Dfns makes it easy to deploy feature-rich web3 wallets directly into your stack. In this episode we talk about how Dfns thinks about getting security right, what's most exciting about their current trajectory, how the space has changed since Clarisse's beginnings in web3, best advice for web3 founders, & much more.Recorded Monday April 1, 2024.

Have you ever wondered how the threads of science, nature, and art are woven together? Join us as Sarah Dixon, a UK-based artist with a colorful history stretching from Cyprus to the UAE, shares her enthralling personal journey. Her artistic canvas is rich with the nuances of her scientific exploration and the cultural depth of her mother's Irish Catholic heritage. As we converse, Sarah paints a picture of her creative process, revealing how her art serves as a bridge between introspection and cultural understanding, challenging us to see the world through a kaleidoscopic lens of beauty and thought.Then, we step into the tapestry of women's untold stories as Sarah Dixon and Sharon Bennett partner with the WAAS to illuminate the narratives of childbirth. The project breathes life into the silent chapters of our history, enshrining them within the walls of museums for a more inclusive retelling of our past. Moreover, we venture into the intimate world of heirloom coaching, guiding listeners through the poignant process of connecting with their lineage. This episode promises to be an odyssey into the heart of our heritage, where every artifact holds a story and every story paves the way to self-discovery and cultural reverence.Do you dread Mondays? Does the thought of another Monday steal the joy of your weekend? Let me tell you about a product I have found and tried that can do away with the Sunday Scaries. Oddly enough, it's from a company called Sunday Scaries. I have personally tried their products, gummies and tinctures and I can personally attest to their efficacy. If you go to their website and order any product, use the code Kindness20 to receive a 20% discount on your order.  Do you like good coffee? Are you like me and go to bed in anticipation of a great cup of coffee in the morning (and afternoon, maybe). Then let me introduce you to my newest sponsor, Coffee Bros. They have built their business on the cornerstones of sustainability, quality, consistency, and freshness. From coffee to brewing techniques to coffee and espresso machines, they should be your go-to for all things coffee. And if you order from them, use the code Kind10 to get a 10% discount on your order.Support the showDid you find this episode uplifting, inspiring or motivating? Would you like to support more content like this? Check out our Support The Show Page here.

The Friday Move met Wilfred Genee. See omnystudio.com/listener for privacy information.

It's the return of the 2021 Person of the Year, 2-time James Beard Nominee, and owner of Cheeni Indian Food Emporium: Preeti Waas. We discuss the benefits of getting nominated with the James Beard Foundation and how it positively affected her business. Also how Indian food is top of mind in the food industry. Get insights on how to expand your restaurant, and your influence on the industry. There's a lot to unpack in this episode, so let's get started. Subscribe to their YouTube page HERE On the mic this week: @trujillo.media @weisswine Join our Facebook family: @NCFandBPod Follow us on Instagram: @ncfbpod Support our Sponsors: Welcome SYSCO as our Title Sponsor!! Drink better coffee - get Carrboro Coffee Roasters Here Enjoy Duke's Mayo - It's Got Twang!

In this podcast episode, Cory Miller interviews Roger Rosweide, co-founder of WildCloud, shares his journey with WordPress and WildCloud, and introduces the concept of website as a service. He discusses how this model can provide pre-built, managed websites for a monthly subscription fee, benefiting agencies, marketers, business consultants, and individuals. Roger also explains how agencies can incorporate this model into their business and discusses pricing and packaging strategies for selling websites through WildCloud. He emphasizes the collaborative spirit of the WordPress community and the potential benefits of a WordPress website as a service for marketers. Cory and Roger also discuss the importance of businesses functioning as communities.Top TakeawaysNiche Focus and Blueprints: Agencies can benefit from creating specialized services for specific niches and using pre-built blueprints. This approach allows them to target particular industries or professions, such as therapists, and deliver tailored solutions that cater to the unique needs of those clients.Community Collaboration: Building a community around the WaaS model fosters collaboration among agencies, developers, and marketers. This collaborative spirit strengthens the WordPress ecosystem by encouraging dialogue, sharing insights, and addressing challenges collectively.Adapting to WordPress Changes: As WordPress evolves, particularly with the introduction of Gutenberg and other updates, agencies may face challenges in adapting their existing solutions. However, these challenges can be viewed as opportunities to enhance and innovate, pushing agencies to improve and stay competitive.Business Growth Through Community: By transitioning from a customer-centric to a community-centric approach, businesses can create more value for their clients. Providing resources, best practices, and a supportive community enables businesses to grow while helping clients achieve their goals.Mentioned In The Show:ZoomPorscheAxel SpringerWP Calorie Calculator pluginGoogle My BusinessWooCommerceShopifyWixWeeblySquarespaceOWASPAll Counseling

In this episode of PANCast, get familiarized with WAAS and check out how WAAS can help you.

Discover how to unlock the possibility of recurring revenue in online education WaaS with Roger Rosweide from Wildcloud The post Create a Recurring Revenue Online Education WaaS with Roger Rosweide from Wildcloud appeared first on LMScast.

Riad Wahby is the CEO and co-founder at Cubist, a company focused on key management solutions for Web3. Riad has a background in electrical engineering and computer science, particularly zero-knowledge proofs. Cubist was founded after Riad and the team identified the problem of key security as a major challenge in Web3 applications. Why you should listen Cubist began as a developer of hardware-backed, non-custodial key storage and signing infrastructure that enables institutional blockchain staking providers to protect staking keys and secure withdrawals.  The company was started by Wahby, his co-founder, former fintech COO and fraud prevention expert Ann Stefan, and two other Computer Science and Engineering professors from Carnegie Mellon and UC San Diego. Cubist has just launched a first-of-its-kind Wallet-as-a-Service platform called CubeSigner to support everything from loyalty programs to market makers to games to custody platforms across virtually every chain. The WaaS solution is differentiated in that applications can request signatures through revocable signing sessions via simple API calls, and then the WaaS signs from within secure hardware. As a result, keys are constantly safe because users can't accidentally leak keys and attackers can't steal keys. CubeSigner is designed to solve the trade-off between convenience/usability and security when it comes to managing keys. Supporting links Bitget Bitget Academy Bitget Research Bitget Wallet Cubist Andy on Twitter  Brave New Coin on Twitter Brave New Coin   If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.

In this Boots In The Field Report Ken Ferrie covers harvest recaps getting called in. Fields that got that heavy rain in August have high ground out yielding low ground, beans that turned too quickly showing premature death from disease, and harvest loss proving to be an issue for some field conditions. Ken recaps the fungicide and insecticide plot that came out and the outcome of 2 fix/flex plots that came out this week. In addition, he advises growers to check their WAAS satellite if having issues with GPS signal.

Some of you may know Preeti Waas as a 2023 James Beard nominated chef for her work at Cheeni Indian Food Emporium in North Raleigh.  Or maybe you know her for Cheeni's famous chocolate chip cookies. What you probably don't know is the path Preeti took to get where she is today - how she uncovered her love of baking, lessons she learned starting a restaurant in Oklahoma, and the shady business situation she found herself in as she tried to find her footing in the Raleigh market.For the full video episode, follow along on Youtube: https://www.youtube.com/@Podcast_Raleigh/Or subscribe to Podcast Raleigh on your favorite podcast sites so you never miss an episode, and if you enjoy it we'd love for you to rate or leave a comment:Apple: https://podcasts.apple.com/us/podcast/podcast-raleigh/id1458907220Google: https://play.google.com/music/listen?u=0#/ps/Inzk5woxrsjwf3zhd5vv3av4yeiSpotify: https://open.spotify.com/show/6b3dVvLJfO0EqvDGQaFTAPOr follow on social media:Instagram: https://www.instagram.com/podcast_raleigh/twitter: https://twitter.com/podcast_raleighToday's episode is hosted by Ashton Fisher and Hayes Permar, and is produced by Earfluence.For your real estate needs, check out Steele Residential, supporters of the podcast!

Nicole and Jeff tackle:More getting to know you AND - Chatter - Jo, WAWhat is your favorite fictional depiction of a death ritual or grief process? Do you have a least favorite?How often are kids present during removals?What is something that still surprises you about your work?Chatter- Heather, WAHow do they autopsy the brain but keep the face intact?When you say “Setting features” what does that mean?Chatter- Cynthia, WADo you ever get curious about how someone has died after doing a removal?When you are embalmed, does your body fluid just go down the drain?Chatter- Samuel, WAAs a mortician or funeral professional. When someone dies is it just as sad for you? Or are you desensitized. Getting to know you:What's the best-kept secret about where you grew up?What was your first job?If you could change one thing about your job or workplace, what would it be?What's one job you would never do, even for a million dollars?

I am really excited about this episode, a deep dive into the mission and vision at DFNS, exploring their custodial solutions, ZK-based cryptography, web3 interoperability, and the evolving landscape of DeFi. This episode is an excerpt of the full-length episode you can discover in our premium newsletter called Venture Notes (⁠https://venturenotes.co⁠). If you want to become a premium member and enjoy the full experience, grab until July 15, 2023 a special offer : 50% off, €45/year instead of €90/year, link to redeem https://upcomingvc.substack.com/150723 In this conversation, I have the chance to welcome Clarisse Hagège, Co-Founder & CEO at DNFS. - - - DFNS is a cybersecurity company providing wallet infrastructure for web3. From banks to gaming studios, developer teams rely on their decentralized custody network to build seamless applications and deliver smooth experiences for crypto. DFNS develops a custodial wallet-as-a-service (WaaS) protocol for developers to build on top of “highly secure” cloud environments, by leveraging MPC, ZK- based cryptography, and modern networking technology. DFNS is today able to decentralise custody in a unique fashion. This episode is a deep dive into DFNS's own definition of security and freedom when protecting crypto assets and how the companies executes to strike the right balance between the two. In this podcast, we're: exploring DFNS's revolutionary custodial solutions and the technology behind their wallet-as-a-service protocol. understanding the benefits of ZK-based cryptography in decentralized custody solutions like DFNS's protocol. unraveling how DFNS ensures privacy and security using ZK-based cryptography for user transactions and data. discussing the challenges and advancements in ZK-based cryptography and their impact on decentralized custody and the broader crypto ecosystem. delving into the design decisions and trade-offs made by DFNS to balance security, usability, and scalability in their wallet infrastructure. examining the role of interoperability in web3 projects and the evolving landscape of DeFi in the web3 context, including opportunities and challenges that arise as DeFi continues to mature. - - - The podcasts Runway Series Originals, AMA VC, Human Factor, No-Code VC / Fit, Venture Talks & Solo-GP Series are produced by UPCOMINGVC® (⁠⁠⁠⁠www.upcoming.vc⁠⁠⁠⁠), created and hosted by Raphael Grieco (⁠⁠https://olivecapital.vc⁠⁠ / ⁠⁠https://mint.rapha.elgrie.co⁠⁠ / ⁠⁠https://www.raphael-grieco.com⁠⁠ / ⁠⁠https://rapha.elgrie.co⁠⁠)

Today we're joined by Coinbase's head of cryptography, Yehuda Lindell. He has big news to share as Coinbase just released WaaS which is an MPC wallet. Some are calling this one of the most exciting products from Coinbase yet. Yehuda has an impressive track record. He's a former professor and the former CEO of Unbound Tech, a cybersecurity company specializing in privacy and key management solutions. Unbound Tech, the company Yehuda co-founded, was acquired by Coinbase. Yehuda leads the cryptography team at Coinbase, driving innovation in the field of secure computation and increased privacy and data security. On today's podcast, we dive into the cryptography team at Coinbase, the new innovative wallet that might just be the key to mass adoption for crypto, bringing self-custody to the masses where we're expecting tech giants to jump on this new wallet opportunity, how WaaS compares to holding crypto on exchanges and Multisigs, Coinbase Self-Custody and beyond. We also get into Yehuda's advice for aspiring cryptographers and so much more. But first, Yehuda tells us what he's focused on inside of Coinbase.

In this episode, we discus Adoption: Web3 Key ManagementWith Zhen Yu Yong, co-founder of Web3Auth.Passwordless auth meets Multi-Party Computation (MPC),Self-custodial Wallet-as-a-service (WaaS) infrastructure for dApps and wallets.Non-custodial Infrastructure: True decentralization and ownership with Wallet-as-a-service (WaaS) when it comes to all digital assets.Disclosure: This episode is Presented by Web3Authdisclosure.chainleak.comFollow Web3AuthTwitter: @Web3AuthConnect with ChainLeak below!Twitter: https://Twitter.com/ChainLeakTelegram: https://T.me/ChainLeakWebsite: https://ChainLeak.comConnect with Joshuwa below!Twitter: https://Twitter.com/JoshRoomsburgTelegram: https://T.me/JoshRoomsburgTikTok: https://TikTok.com/@JoshRoomsburg

Preeti Waas is the chef-owner of Cheeni Indian Food Emporium in Raleigh, NC.  From a young child in India fascinated by the alchemy of baking to a James Beard Best Chef Southeast semifinalist in 2023, one thing has never changed for Preeti - the gratification and joy of feeding people. She is a self-taught cook and baker who is always curious - and always hungry. https://www.cheeniraleigh.com/ on Instagram: @cheeniraleigh

Coinbase, the big U.S. crypto exchange, is starting a “wallet as a service” business that will allow companies to customize blockchain wallets for their own customers. The service could be used by gaming apps where tokens or non-fungible tokens (NFT) are part of the game, or by companies that might want to incorporate a wallet into an app and make that almost invisible to the end user.Guest: Leonard Law - Coinbase Product ManagerCoinbase Wallet As A Service ➜ https://bit.ly/CoinbaseWaaS

Chris integrates full home power monitoring into Home Assistant, while Alex tames the AI and rushes to replace Dark Sky. Special Guest: Brent Gervais.

On this episode, from Charleston South Carolina, US, I have brother Khet Waas Hutip - a health and body healing expert, entrepreneur, educator and founder of Sacred Rootz shop. Khet is protégée of the famed Dr. Laila Africa one of the world's foremost authorities on health and nutrition. Khet appeals to the return to traditional African healing modality - herbs, and that Africans should eat for their culture to avoid disease. --- Support this podcast: https://podcasters.spotify.com/pod/show/mpilo-nkambule/support

Consumer banking, loan applications, car insurance - there are some financial services that no one was surprised to see go digital. But some others (until recently at least) seemed like they would always belong more in a mahogany-clad Wall Street office than on a phone screen. But as technology has advanced, and as consumer trends have changed, more and more services are meeting customers where they are and going digital. And the world of wealth management is no exception to this new rule. In this episode of Financial Futures, we learn how the as-a-service model is coming to wealth management and how this technology is democratizing this essential resource. We'll find out how demand for wealth as a service has grown in light of increasingly optimized user experiences across the tech sector and we'll learn why legacy technologies are hindering, rather than helping, wealth managers to provide the best value. Joining us in this episode are head of wealth management at FIS Global, Luke McCabe, and head of wealth management consulting at NTT Data, Eric Bittel. They'll reveal how the wealth management landscape has evolved (and where it's going), and they'll discuss the current challenges wealth managers are facing, along with some potential solutions. We'll also ask: What is wealth as a service? How is wealth as a service helping wealth managers to focus on higher-value work? What are customers demanding from the wealth management user experience? How can firms stay relevant and provide value to wealth management customers? What can wealth management professionals and firms do to prepare for WaaS adoption? How is WaaS making wealth management more scalable and allowing for flexible pricing models?

Drop 1: Sygnum + zkSync https://www.insights.sygnum.com/post/sygnum-partnership-for-zero-knowledge-proofs-with-zksync-era Drop 2: USDC + SVB https://www.circle.com/blog/an-update-on-usdc-and-silicon-valley-bank Drop 3: Coinbase wallet API https://techcrunch.com/2023/03/08/coinbase-launches-wallet-api-to-help-integrate-web2-0-devs-into-web3-world/.. More: BACEN anuncia HL Besu para o Real Digital https://cointelegraph.com.br/news/brazilian-central-bank-announces-news-about-real-digital BACEN divulga as diretrizes do projeto-piloto do Real Digital https://www.linkedin.com/pulse/bc-divulga-diretrizes-do-projeto-piloto-real-digital-1f Blockchain One: nova plataforma de registro de documentos https://www.blocknews.com.br/corporativo/blockchain-one-lanca-plataforma-para-registro-e-gerenciamento-de-documentos-em-blockchain/ Audi lança Material Loop, blockchain para rastreio de reciclagem https://www.ledgerinsights.com/audi-materialloop-recycling-blockchain/ Amazon vai entrar em NFTs com marketplace de ativos reais https://blockworks.co/news/amazon-nfts-real-world-assets-token Revolut lanca curso de staking na Polkadot https://www.finextra.com/pressarticle/95992/revolut-launches-polkadot-learn--earn-course-on-staking WeChat + Digital Yuan https://cointelegraph.com/news/wechat-integrates-digital-yuan-into-its-payment-platform Snoop Dogg funda Shiller, plataforma de Livestream web3 https://cointelegraph.com/news/snoop-dogg-revealed-as-co-founder-of-web3-powered-livestream-platform/ BNDES se junta a INATBA - associação internacional para aplicações confiáveis em blockchain https://www.linkedin.com/feed/update/urn:li:activity:7038899126448574464/ --- Send in a voice message: https://anchor.fm/blockdropspodcast/message

#61 Contentment on the Homefront and Actual Seatbelt Wearers with Jordan Waas Jordan Waas is a farmer in the Laurel highlands of Pennsylvania. They farm row crops in the hills and mountains and raise cattle where it gets too steep. She has four kids, a herd of registered red angus cattle and loves to make soap. We talk about how important it is to be comfortable at home and be able to actually relax. How God helps us to be more content and happy. He helps us to get through the hard times and move forward during loss and heartache. She teaches me all about raising Cattle and how EPD's (Expected Progeny Differences) are helping farmers strategize to build the heard they want. I also ask probably the worst question you can ask, “Do you actually wear your seatbelt [In the tractor]”?   Topics Covered: How to be more comfortable at home How to be more content How to cope with a hard calving season after lots of loss How to manage kids and farming How to actually relax on vacation     Download the Farm Stress Bundle here: https://www.throwingwrenchesmendingfences.com/   If you enjoyed this episode, take a screenshot, post to Facebook or Instagram and tag me! And don't forget to subscribe, rate and review the podcast to let us know your key takeaways. Connect with Sarah Zastrow Facebook https://www.facebook.com/groups/2295514594092240 Instagram https://www.instagram.com/throwingwrenchesmendingfences/ Website https://www.micultivatebalance.com/ Pinterest Page: https://www.pinterest.com/micultivatebalance/ YouTube Channel: https://www.youtube.com/channel/UCMVcExxS1xgVghkfXQ7e Tiktok: https://vm.tiktok.com/ZMevsHpyW/   Connect with Jordan Waas Facebook: https://www.facebook.com/profile.php?id=100057313035107

Viggo Waas is cabaretier en acteur. In zijn nieuwe show Er gaat nog iets heel moois gebeuren probeert hij samen met Peter Heerschop alles wat zij samen zijn en hebben gedaan samen te brengen. Zo verwerken ze het herseninfarct van Waas en dragen ze oude NUHR-dialogen voor. Viggo Waas werd bekend door zijn optredens in het programma Kopspijkers en maakte al sinds 1987 cabaret met Cabaretgroep NUHR. Ook was hij als acteur te zien in verschillende films en series, zoals Alles is liefde en Baantjer.  Femke van der Laan gaat met Viggo Waas in gesprek.

Na tientallen jaren voorbereiding is vandaag de officiële bouw van start gegaan van de grootste telescoop ter wereld, tevens de gevoeligste radiotelescoop ooit gemaakt. Een project waar ook Nederland een belangrijke rol bij speelt. In deze audio bespreken we met Roelien Attema-van Waas van ASTRON waar de telescoop naar gaat kijken en welke rol Nederland precies binnen het project heeft. Lees hier meer: Construction of Square Kilometre Array commences.See omnystudio.com/listener for privacy information.

I talk about the emerging subscription pricing model for selling websites.

Launching Season 6 of the CES Tech Talk podcast, Episode 1 features Garry Jacobs, president and CEO of World Academy of Art and Science (WAAS), discussing the critical role of technology as a means for attaining human security for all. He shares with host James Kotecki the ways that the WAAS alliance with CES can contribute to enduring human security solutions. The purpose, which will be seen throughout CES 2023, is to foster collaborations among businesses that innovate toward an end to famine, disease, conflict, climate change and other global challenges.

For those of us in the packaging industry, finding materials that are truly unique and ground breaking is tough. I think the team at TIPA is on to something!Michael Waas joins Adam Peek as they discuss how they have found a way to keep barrier properties close and provide a compostable solution that could work for many parties.Learn more at tipa-corp.comAlso, make sure you connect up with Adam at the Specright booth at PackExpo 10/23-10/25. Let's create a world without waste and take a spec first approach! Get full access to Packaging Is Awesome with Adam Peek at www.packagingisawesome.com/subscribe

The 'resource curse',  or "Dutch disease“, describes when countries rich in natural resources face reduced domestic growth rates in other sectors due an influx of foreign currency or investment, mixed with market volatility. The Tao of Finance initiative from the World Academy of Arts and Sciences examines the link between this ‘disease' and the 17 UN-Sustainability Development Goals, and identifies an  upgraded monetary system to make the resource curse history.Read more about the Tao of Finance at the WAAS website, or read the books ‘Financing Our Future' and 'Financing our Anthropocene'

Episode 239 Show Notes   Topic of the show: AG and RH give their opinion on a disagreement between pilots at a non-towered airport and discuss the importance of timely radio calls and announcing your position.  We also discuss LPV approaches and get to more of your feedback regarding missed approach instructions.    Timely Feedback: 1. Patron CWS got a great tour! 2. Patron TG shares some kind words about the show. Thank you! 3, 4, 5. Patrons AW, GF, and CH share their thoughts on alternate missed approach instructions. KG got to send his first student to solo and watch from the tower!   Feedback Patron DW asked about LPV approaches in Hawaii and we got some feedback from the Terps Elf!https://www.nstb.tc.faa.gov/RT_VerticalProtectionLevel.htm MN shares her thoughs on the show using audio feedback! #savethepenguins Patron SH asks about active MOAs and how to plan for them along your route of flight. Check this article out: https://www.boldmethod.com/learn-to-fly/airspace/flying-through-military-operations-area-moa-vfr/ Have a great week and thanks for listening!  Visit our website at OpposingBases.com You can support our show using Patreon or visiting our support page on the website.  Keep the feedback coming, it drives the show! Don't be shy, use the “Send Audio to AG and RH” button on the website and record an audio message. Or you can send us comments or questions to feedback@opposingbases.com. Find us on twitter @opposing_bases.  Music by audionautix.com.  Third party audio provided by liveatc.net.  Friends of the show and maker of bags to protect your ATC headset from dust and germs: ATCSaks.com. Keep the gunk and funk away from your most valuable pilot gear: https://pilotsaks.com/. Legal Notice  The hosts of Opposing Bases Air Traffic Talk podcast are speaking on behalf of Opposing Bases, LLC.  Opposing Bases, LLC does not represent the Federal Aviation Administration, Department of Transportation, or the National Air Traffic Controllers Association.  All opinions expressed in the show are for entertainment purposes only.  There is no nexus between Opposing Bases, LLC and the FAA or NATCA.  All episodes are the property of Opposing Bases, LLC and shall not be recorded or transcribed without express written consent.  For official guidance on laws and regulations, refer to your local Flight Standards District Office or Certified Flight Instructor.  Opposing Bases, LLC offers this podcast to promote aviation safety and enhance the knowledge of its listeners but makes no guarantees to listeners regarding accuracy or legal applications.

A healthcare system that is preventative, collective and inclusive is far more resilient, and cheaper to run, than private for-profit schemes.  Such a preventative system will be much cheaper to invest in building now than waiting to repair our current frameworks after the next pandemic. However, we need a financial plan that is able to ensure this change The Tao of Finance initiative from the World Academy of Arts and Sciences proposes a new mode of finance to fund the WHO, delivering adaptive and targeted funding to the health care needed for today and tomorrow.Read more about the Tao of Finance at the WAAS website, or read the books ‘Financing Our Future' and 'Financing our Anthropocene'

How should we design a new monetary tool that can cope with external shocks which might affect our economy in the Anthropocene? The Tao of Finance initiative from the World Academy of Arts and Sciences proposes a Monetary Inflation Brake: a targeted,  upstream, resilient intervention that could save billions of dollars world wide.Read more about the Tao of Finance at the WAAS website, or read the book ‘Financing Our Future: Unveiling a Parallel Digital Currency System to Fund the SDGs and the Common Good'.

Episode 234 Show Notes   Topic of the show: When a squeeze play looks like it can only get worse, a controller has to do something to stop it.  On this week's episode, we will break down an intersecting runway arrival/departure squeeze play that resulted in a canceled takeoff clearance instead of a go around.  Why did this happen? What types of things are being considered during a squeeze play like this one?  We also discuss situational awareness on a cross country flight to an unfamiliar airport, approach lighting, and weird radar identification practices.  This episode is packed with aviation gold nuggets.  Don't miss it!   Timely Feedback: 1. SGAC Patron SE shares an experience with CPDLC. Cool! 2. JS dug deep into the fine print regarding runway crossing and hold short instructions. Thank you! 3. Patron JH shares a small correction to our discussion on WAAS and GPS units. Thank you!   Feedback Patron WTF asks about a very unusual radar identification practice. Patron MG asked our opinion on approach lights. Check out this great article to learn more about approach lights:https://www.boldmethod.com/learn-to-fly/navigation/when-can-you-go-below-mins-instrument-approach/ Patron JS shares a story of their long cross country and being slightly confused on arrival pattern direction.   Have a great week and thanks for listening!  Visit our website at OpposingBases.com You can support our show using Patreon or visiting our support page on the website.  Keep the feedback coming, it drives the show! Don't be shy, use the “Send Audio to AG and RH” button on the website and record an audio message. Or you can send us comments or questions to feedback@opposingbases.com. Find us on twitter @opposing_bases.  Music by audionautix.com.  Third party audio provided by liveatc.net.  Friends of the show and maker of bags to protect your ATC headset from dust and germs: ATCSaks.com. Keep the gunk and funk away from your most valuable pilot gear: https://pilotsaks.com/. Legal Notice  The hosts of Opposing Bases Air Traffic Talk podcast are speaking on behalf of Opposing Bases, LLC.  Opposing Bases, LLC does not represent the Federal Aviation Administration, Department of Transportation, or the National Air Traffic Controllers Association.  All opinions expressed in the show are for entertainment purposes only.  There is no nexus between Opposing Bases, LLC and the FAA or NATCA.  All episodes are the property of Opposing Bases, LLC and shall not be recorded or transcribed without express written consent.  For official guidance on laws and regulations, refer to your local Flight Standards District Office or Certified Flight Instructor.  Opposing Bases, LLC offers this podcast to promote aviation safety and enhance the knowledge of its listeners but makes no guarantees to listeners regarding accuracy or legal applications.

For an individual, merely navigating litigation can be expensive, time consuming, and at times overwhelming. But when that individual is also unable to work, or cannot function normally  because they have been disabled by an injury – like the loss of a limb in a railroad accident -- or is undergoing treatment for disease – like cancer from a toxic herbicide -- that explodes the level of stress on a person and their family. Add to that, in recent years, the compounding effect of living in a pandemic, where children are attending school from home and courts are clogged and leaving the house, already a challenge, becomes a bigger one. I add this all up just in case you think you've had a bad day. And maybe you did. There are companies in the "non-recourse settlement advancement" space that will provide financial support to claimants in litigation. This helps them with their regular daily expenses – plus medical costs – until their case settles or until they receive an award. But most of these companies, as you can imagine, are for-profit entities. As such, their fees can make their support unaffordable and can leave the plaintiff with a substantially diminished payout.Our guest  is going to describe a different approach taken by the non-profit foundation she oversees, one that is infinitely more understandable and affordable for claimants. Erin Waas is Executive Director of The Milestone Foundation, a national 501(c)(3) nonprofit that provides financial assistance to people pursuing a personal injury lawsuit. Erin brings nearly two decades of experience working in the public sector and with nonprofits in fundraising and communications, most recently at the University at Buffalo, where she served as senior advancement writer. Prior to relocating to Buffalo, Erin spent the bulk of her career to-date in Boston, where she worked in stewardship at Harvard University and as a consultant for nonprofits of all sizes.  Speaking of fundraising, and if you believe in the cause, consider supporting the Foundation with a donation today. This podcast is the audio companion to the Journal on Emerging Issues in Litigation. The Journal is a collaborative project between HB Litigation Conferences and the Fastcase legal research family, which includes Full Court Press, Law Street Media, and Docket Alarm. The podcast itself is a joint effort between HB and our friends at Law Street Media. If you have comments or wish to participate in one our projects please drop me a note at Editor@LitigationConferences.com.

 The 17 Sustainable Development Goals (SDGs) of the UN set out the aims of ensuring the future of life on Planet Earth is clean, healthy, and rich in biodiversity. However, reaching these goals is expensive, requiring around an additional $5 Trillion per year over the next 15–20 years. So the question now is: How to finance our Future? The Tao of Finance initiative from the World Academy of Arts and Sciences proposes outside-the-box solutions to generate the funds needed, utilising distributed digital technologies and innovative approaches to finance. Read more about the Tao of Finance at the WAAS website, or read the book ‘Financing Our Future: Unveiling a Parallel Digital Currency System to Fund the SDGs and the Common Good'.

The Airports Authority of India successfully conducted a light trial using the GAGAN satellite navigation system for the landing of an ATR72 aircraft belonging to IndiGo at the Kishangarh Airport in Rajasthan last week.  GAGAN is a system jointly developed by the Airports Authority of India and the Indian Space Research Organisation (ISRO) in collaboration with US defence contractor Raytheon at an estimated cost of Rs 774 crores. It provides a very accurate and high-level of satellite signals for precision air navigation over the entire Indian airspace, with the capability of expanding to nearby regions. It is capable of providing navigation services for departure, en-route and landing operations to equipped planes. The DGCA had issued a mandate, directing that all aircraft registered in India after July 1st 2021 to be fitted with GAGAN equipment.  Simply speaking, GAGAN is a Satellite Based Augmentation System or SBAS, which is a regional network of ground stations and satellites that provide GPS signal corrections, giving a better position accuracy.  GPS is the most prevalent Global Navigation Satellite System (GNSS) and is owned by the US government. GAGAN is the fourth such SBAS system that has been operationalised after the US' WAAS, European Union's EGNOS an d Japan's MSAS and it is interoperable with the other three.  The GAGAN system consists of 15 earth-based reference stations, two master control centres, three land uplink stations and three geostationary satellites. The reference stations gather GPS satellite data and the master control centres collect data from reference stations and create GPS correction messages.  Through this, errors caused by ionospheric disturbances, satellite orbit errors and inaccurate clocks are corrected. And through the uplink stations, the corrected messages are sent to the geostationary satellites which then broadcast them to the aircraft.   India is the first country in the Asia Pacific Region to trial indigenous SBAS for landing.  According to SV Satish, former executive director (Air Traffic Management), AAI, GAGAN opens a gateway for all airports to have low visibility approaches. It will bring down diversions, save fuel and boost efficiency. He says, GAGAN can serve smaller airports effectively, and older aircraft have to be upgraded with GAGAN receivers.  GAGAN will help airports which are currently devoid of precision approach capability equipment and have higher visibility requirements. It will reduce flight delays, save fuel, and improve flight safety. Now, aircraft will be able to land at airports not equipped with expensive Instrument Landing Systems, which include many small regional airports.  At present, IndiGo, SpiceJet, Air India, Go First and AirAsia India have aircraft that are capable of carrying out these satellite-based procedures. As GAGAN's footprint expands from Africa to Australia, India is in a position to offer its service to neighbouring countries.  Though primarily meant for aviation, GAGAN's capabilities can be utilised in many other user segments such as intelligent transportation, maritime, highways, railways, surveying and the telecom industry. GAGAN Message Service (GMS) can relay alerts to deep-sea fishermen, farmers, and disaster affected people at the time of natural calamities.  Watch video

Episode 223 Show Notes   Topic of the show: How do we stay off the landline and why is it an important controller skill?  On this week's show, RH goes off on a rant about the misuse of landlines and the lessons he learned as a trainee to use them sparingly.  We also talk about “landing assured”, a busy flight school pattern, and LPV approaches.  This is a packed episode and you don't want to miss a minute!  Enjoy!   Timely Feedback: 1. Sierra Golf shares some feedback about small GA aircraft going to Metroplex. 2. PATRON Juliet Charlie reminds us of another phone book nuance. 3. SGAC PATRON Charlie Mike has a request of the show and the Terps Elf. 4. PATRON Mike Golf enjoyed us having Captain Dana as a guest co-host. 5. PATRON Sierra Echo offers a pro tip on hitting a gap on final.   Feedback Sierra Papa Delta has some comments about wake turbulence and callsign mishaps. PATRON Whiskey Tango Foxtrot shares some information on equipage and approaches. PATRON JEC has a question about “landing assured”. PATRON AMB shares some audio from a busy pattern. PATRON Papa Victor wants to know how we stay off the land lines like pros. PATRON Echo Hotel wants everyone to know how cool his car was in 1998. https://fb.watch/bkWjs-_0pA/.   Mentioned on the show: Pilot has engine failure and works with ATC to find an airport and lands on the numbers with no engine from 9000'. Well done!   https://www.youtube.com/watch?v=CEMlny_ExuU Have a great week and thanks for listening!  Visit our website at OpposingBases.com You can support our show using Patreon or visiting our support page on the website.  Keep the feedback coming, it drives the show! Don't be shy, use the “Send Audio to AG and RH” button on the website and record an audio message. Or you can send us comments or questions to feedback@opposingbases.com. Find us on twitter @opposing_bases.  Music by audionautix.com.  Third party audio provided by liveatc.net.  Friends of the show and maker of bags to protect your ATC headset from dust and germs: ATCSaks.com. Keep the gunk and funk away from your most valuable pilot gear: https://pilotsaks.com/. Legal Notice  The hosts of Opposing Bases Air Traffic Talk podcast are speaking on behalf of Opposing Bases, LLC.  Opposing Bases, LLC does not represent the Federal Aviation Administration, Department of Transportation, or the National Air Traffic Controllers Association.  All opinions expressed in the show are for entertainment purposes only.  There is no nexus between Opposing Bases, LLC and the FAA or NATCA.  All episodes are the property of Opposing Bases, LLC and shall not be recorded or transcribed without express written consent.  For official guidance on laws and regulations, refer to your local Flight Standards District Office or Certified Flight Instructor.  Opposing Bases, LLC offers this podcast to promote aviation safety and enhance the knowledge of its listeners but makes no guarantees to listeners regarding accuracy or legal applications.

Join me as I discuss the alphabet soup of terminology surrounding the world of GPS/RNAV.  I know these terms can cause more than a little confusion for the new instrument pilot.  I'm hoping that this short explainer helps introduce the new instrument pilot.   Checkout Max Trescott's excellent podcast on the different kinds of RNAV approaches here:  Aviation News Talk EP146   Contact me at seth@vsl.aero with any of your feedback.  I would love to hear from you!  

We're doing our first Giveaway! We'll be sending the book 'Psychology of Money' by Morgan Housel to 5 people who help us get the highest number of referrals for our Newsletter. Here's the link that you can use to generate your referral code. Sahil (@sahil071) & Siddharth (@sidbetala) munch on these ideas during the episode:(00:50) - The Indian Dream Book Giveaway - Psychology of Money(02:06) - Gumroad Investment & Equity Crowdfunding (09:05) - Biostimulants & Sea6 Energy(16:25) - Manufacturing & Warehousing as a Service (MaaS, WaaS)(28:52) - High end locksLi Jin's article on Passion Economy and Future of WorkThe Indian Dream Book Giveaway - Psychology of Money by Morgan Housel - One of the best books both of us have ever read about Wealth Management & Accumulation.  We'll be giving away 5 copies to the people who get the most people to sign up to The Indian Dream Newsletter. Here's the referral link that you can use for this campaign.Gumroad Investment & Equity Crowdfunding: As per SEBI guidelines, equity crowdfunding is still illegal in India - despite India overall being much more lax in its rules than the US SEC. Equity Crowdfunding is basically a chance for retail investors to invest in early stage startups - think Kickstarter but you actually get Equity in the company in which you invest. Gumroad - the creator platform - raised $5 million on the Republic.co platform which itself raised $35 million. The same day, the SEC had raised the maximum allowable capital raise from Equity Crowdfunding from $1.07 million to $5 million - expect a lot more companies use this method for raising early money but also expect a lot more fraud.Biostimulants & Sea6 Energy: On this podcast, we are obsessed with anything related to agriculture and especially Seaweed. India has become the first country in the world to pass legislations about Biostimulants and Sea6 Energy has become one of the first companies in the world to receive a patent for a Seaweed based biostimulant. And Sea6 Energy is raising a $5 million Series A round right now. On a previous episode, we spoke to Mr. Abhiram Seth from AquaAgri Processing about the future of Seaweed biostimulants and he said that this is just the start - there's a lot of room for growth in this industry. Manufacturing & Warehousing as a Service (MaaS, WaaS) for D2C companies: D2C companies are good at Marketing and they try to outsource everything else. Warehousing is a growing and profitable part of this changing business model. Can you build a warehousing marketplace with a software layer on top that helps D2C companies find the best warehousing space for their products. Same thing can be done for manufacturing. High End Locks

Today's question is about getting your Wide Area Airspace Authorization (WAAS). Do you need WAAS if you are planning on flying in controlled airspace at twilight? Our caller for today, Kevin has come up with a great question that has not been asked on Ask Drone U before. Kevin's question is about getting approval to fly in controlled airspace at twilight. Recently, while flying a job for Amazon, Kevin was unable to get LAANC approval for the same. So, in this scenario, do you need to apply for your Wide Airspace Authorization? And, what steps can you take to improve your chances of getting your WAAS? Tune in to find out. Thanks for the great quesiton, Kevin. Fly Safe! Whether you are just getting started or looking to increase your revenue stream, our drone service providers are ready to help you achieve your most ambitious goals. Check out all our classes for 2020 by going here - http://bit.ly/mapclass2020 Now, you can also get a special 10% discount on any of our 2020 classes by using the coupon code DUPOD10. Recently crashed your drone? Unable to find trained technicians who can repair your drone quickly and at a reasonable rate? Don't fret. The cool folks at Fortress UAV can help you get your drone back up in the air in as little as 7 days! Use Promo Code “DroneU” to get 25% off. Drone U Members get an extra 5% off on total repair costs. Check them out now! Get Your Biggest and Most Common Drone Certificate Questions Answered by Downloading this FREE Part 107 PDF Make sure to get yourself the all-new Drone U landing pad! Get your questions answered: https://thedroneu.com/. If you enjoy the show, the #1 thing you can do to help us out is to subscribe to it on iTunes. Can we ask you to do that for us real quick? While you're there, leave us a 5-star review, if you're inclined to do so. Thanks! https://itunes.apple.com/us/podcast/ask-drone-u/id967352832. Become a Drone U Member. Access to over 30 courses, great resources, and our incredible community.Follow us:Site - https://thedroneu.com/Facebook - https://www.facebook.com/droneuInstagram - https://instagram.com/thedroneu/Twitter - https://twitter.com/thedroneuYouTube - https://www.youtube.com/c/droneu Timestamps [01:38] Learn about our soon-to-be launched PROPS Program [05:48] Use this coupon code and get 10% off on any of Drone U's Virtual classes [09:10] Today's question is about getting your Wide Area Airspace Authorization [10:43] Can you get LAANC approval to fly at twilight? [11:28] How can Drone U help you get a night time waiver? [12:58] What is the trick for getting a WAAS (Wide Area Airspace Authorization) to fly at twilight?