Podcasts about wikis

Gewinnt ein SEODAY Ticket im Wert von 599 Euro. Postet euer KI Projekt unter dem Linkedin Post zu dieser Folge:-------------------Was passiert, wenn KI nicht mehr nur Texte schreibt, sondern komplette Software, Workflows und Geschäftsmodelle entwickelt?In dieser Episode spricht Björn Darko mit Fabian Rossbacher, Gründer des SEO Day, über seinen radikalen Einstieg ins KI-Coding. Fabian erzählt, wie er eine Aufgabe, für die sein Entwicklerteam mehrere Tage eingeplant hatte, innerhalb einer einzigen Nacht selbst umsetzte – und warum dieser Moment seine Rolle als Unternehmer grundlegend verändert hat.Fabian erklärt, wie er mit festen Regeln, Skills, Sub-Agents und automatisierten Workflows mehrere Softwareprojekte gleichzeitig entwickelt. Dabei geht es nicht nur um Geschwindigkeit, sondern vor allem um die Frage, wie sich KI-generierter Code langfristig stabil, verständlich und kontrollierbar halten lässt.Ihr erfahrt, was hinter seinem „Briefing-first“-Ansatz und dem sogenannten Ralph-Pattern steckt, wie seine Systeme nachts selbstständig Code analysieren und verbessern und warum er sich inzwischen teilweise so fühlt, als würde er ein Entwicklerteam mit 80 Mitarbeitenden führen.Außerdem zeigt Fabian konkrete Projekte: automatisiert erstellte Wikis, Content- und Rechercheplattformen, internationale Outreach-Systeme, Podcast-Datenbanken und Tools für SEO, Content und Marketing.Zum Abschluss diskutieren Björn und Fabian, wie KI das Unternehmertum, Agenturen und die Zukunft von Search verändert – und warum die wichtigste Aufforderung aktuell lautet: Hört auf zu warten und fangt an zu bauen.Takeaways– KI-Coding ermöglicht auch Nicht-Entwicklern, komplexe Anwendungen in sehr kurzer Zeit selbst zu bauen.– Geschwindigkeit allein reicht nicht: Regeln, Dokumentation und stabile Architekturen werden durch KI noch wichtiger.– Fabians „Briefing-first“-Prinzip dokumentiert jedes Feature separat, damit neue KI-Sessions den notwendigen Kontext sofort verstehen.– Automatisierte Prüfschleifen können Code fortlaufend analysieren, verbessern und an festgelegte Standards anpassen.– Wer KI produktiv einsetzen möchte, muss lernen, schneller Feedback zu geben und deutlich mehr Entscheidungen zu treffen.– Die größte Chance liegt nicht nur in effizienterer Produktion, sondern in neuen Produkten, Märkten und Geschäftsmodellen.– Agenturen müssen eigene Software und skalierbare Systeme entwickeln, wenn ihre Kunden künftig immer mehr selbst produzieren können.– SEO bleibt Search – unabhängig davon, ob die Antwort über klassische Suchergebnisse, AI Overviews oder einen Chat ausgespielt wird.Kapitelmarken00:00 Intro, Gastvorstellung und SEO-Day-Gewinnspiel01:06 Fabians erster großer Aha-Moment mit KI-Coding03:36 Ist der Wechsel für erfahrene Entwickler schwieriger?05:11 Wenn KI mehr Probleme löst, als vorher existierten07:49 Softwareentwicklung während Fabian schläft08:58 Der „Dangerously Permissionless“-Modus11:10 Regeln, Skills und Sub-Agents im KI-System15:51 Warum Workflows die größte Herausforderung waren17:07 Briefing first: Dokumentation statt Kontextverlust18:30 Das Ralph-Pattern und automatisierte Prüfschleifen20:46 Tokenkosten, Hardware und die richtige Infrastruktur22:17 KI-generierte Wikis und erste Rankings27:00 Wie automatisierte Inhalte aktuell bleiben29:38 News-, Recherche- und Datenplattformen mit KI31:06 Automatisierter Traffic über Reddit und Social Media33:04 Kann eine KI wirklich wie Fabian kommunizieren?34:31 Die Zukunft des Solo-Entrepreneurs37:12 Warum Menschen mit der KI-Geschwindigkeit kämpfen39:25 Was erfolgreiche KI-Unternehmer mitbringen müssen41:16 Die Verbindung zu SEO und AI Search43:01 Erst die Produktionsmaschine bauen, dann alles testen44:34 Internationaler Outreach in über 200 Märkten47:43 Was KI für Agenturen und Marketing bedeutet48:29 Die große deutschsprachige Podcast-Datenbank49:35 Wird aus dem SEO Day irgendwann der GEO Day?51:08 Fazit und Gewinnspiel

Welcome to Episode 429 of the Microsoft Cloud IT Pro Podcast. In this episode, Scott and Ben dig into the concept of LLM wikis, specifically building personal knowledge management vaults using Obsidian, markdown, and AI tooling like Claude Code, GitHub Copilot CLI, and Copilot Cowork. The core idea comes from a gist by Andrej Karpathy and involves creating a structured folder of markdown clippings that an LLM can reason over to extract entities, concepts, and sources, building a searchable, graph-linked knowledge base over time. Scott walks through how he wired up Obsidian Web Clipper and an RSS Dashboard plugin to feed articles into his vault automatically, then had the LLM help build a Python script to automate the ingest workflow and cut down on token usage. The conversation expands into how Copilot Cowork fits into this workflow as a scheduling harness, with practical examples of using it to pull email from an inbox daily, convert messages to markdown, and generate a prioritized to-do list. Ben shares how he applied the same approach to 428 episodes of podcast transcripts, and both hosts note that token costs can run high fast without some upfront thinking about optimization. Scott closes with a reminder that pulling data into plain markdown sidecars outside of IRM and sensitivity label protections means teams should stay mindful of organizational data policies. Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes LLM Wiki GitHub Copilot Wiki: An AI-Powered Second Brain Template Karpathy’s LLM Knowledge Base Wiki for Enterprise Karpathy’s LLM Wiki? No Code with Claude or Github Copilot! sametbrr/llm-wiki-manager Sponsors TrustedTech is a leading Microsoft Cloud Solution Provider (CSP) specializing in Microsoft Cloud services, Microsoft perpetual licensing, and Microsoft Support Services for medium and enterprise-sized businesses. Their robust team of in-house, U.S.-based Microsoft architects and engineers are certified in all 6/6 Microsoft Solutions Partner Designations in the Microsoft Cloud Partner Program. M365 Licensing Consultation M365 Tenant Assessment Copilot Readiness Assessment ShareGate is your migration and governance solution for Microsoft 365. ShareGate helps your teams simplify tenant migrations, get Copilot-ready, and take control of Microsoft 365 governance. Nasuni is a leading unstructured data platform for enterprises where file data is mission-critical for both people and AI. Nasuni powers the operational file layer where work happens — helping organizations manage, protect, and activate data so teams can work smarter, reduce costs, and operate securely without limits. Intelligink — Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Das Waffenstillstandsabkommen zwischen den USA und dem Iran sorgt an den Börsen für einen Crash nach oben, der auch Christian Eichlehners wikifolios positiv beeinflusst, wenn auch ganz unterschiedlich. Im Interview erläutert nikifliegen sein Autom_S1 ( https://www.wikifolio.com/de/de/w/wf0automs1 ), den NFG (www.wikifolio.com/de/de/w/wf0nfg2305 ) und das System nach Eichlehner ( https://www.wikifolio.com/de/de/w/wf18hihpef ). "Im Autom kenne ich viele Aktien gar nicht, es wird parametriert. Ein Automatismus sucht die Werte aus." Ein Vorteil dabei ist der Wegfall von Emotionalität. "Markettiming ist schwierig", gibt Eichlehner zu, "ich habe wirklich nicht damit gerechnet, dass Trump diesen völlig verblödeten Krieg beginnt."

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

We are back with a long overdue Glorantha Initiation interview featuring twice the amount of French accents! We talked to Benjamin, aka Dasfynx, who is the webmaster of the (French) RuneQuest Wiki, and co-hosts the...

Wir alle haben es schon einmal erlebt. Ob beim Wechsel zu einem neuen Arbeitgeber, bei der Einarbeitung neuer Kollegen oder wenn mal dieser eine Kollege nicht verfügbar ist: Wissensmangel. Da fängt man dann an zu suchen.. Wo könnte die nötige Information sein? Liegt doch irgendwo noch ein Übergabedokument ab, oder weiß zufällig eine der Kolleginnen Bescheid?Damit ist Schluss bei Wakeup, dank unseres Wikis! Was alles in so einem Wiki stehen muss und welche Vorteile es mit sich bringt, erfahrt ihr in unserer neuen Folge Kurzer Freitag! 

Am 28. Mai 2025 habe ich mich an seinem letzten Arbeitstag mit Manfred Langen bei Siemens in München getroffen und diesen Podcast zu 30 Jahre “Wenn Siemens wüsste, was Siemens weiß …” aufgenommen. Shownotes Vorstellung Manfred Manfreds Werdegang: Studium der Elektrotechnik und Promotion in Aachen, Schwerpunkt User Interface in der Medizintechnik Einstieg bei Siemens über das Thema User Interface Design in den 90er Jahren Einfluss der KI-Welle der 80er Jahre und Erfahrungen mit Explainable AI/Expertensystemen Interdisziplinäre Zusammenarbeit: Technik und Medizin, Fokus auf Benutzerfreundlichkeit für Ärzte und Fachpersonal Bedeutung von User Experience als Grundlage für soziotechnische Systeme und Wissensmanagement Wissensmanagement bei Siemens von 1995 bis heute Erste Begriffe: “Knowledge-Based Business”, “Knowledge-Flow-Management” Innovationsfeld Informations- und Kommunikationstechnik als Treiber Frühe Visionen: Universal Personal Networking, Vorläufer moderner mobiler Technologien Einfluss von Internet und Vernetzungstechnologie auf Wissensmanagement Rolle der Zentralabteilungen (Personal, Unternehmensplanung, zentrale Technik) Schrittweise Professionalisierung: Von Community-Treffen zu zentralen Projekten und CKM (Corporate Knowledge Management) Boomphase ab 2000: E-Business, Intranet- und Employee-Portale, Einführung von Blogs (Siemens Blogosphere), Wikis (Siemens Wikisphere), Enterprise Social Network (Siemens TechnoWeb) Intranetportal als digitaler Marktplatz/Anlaufpunkt für Wissen im Unternehmen Technologische Weiterentwicklung: Enterprise Search, Web 2.0, Social Collaboration Integration von Künstlicher Intelligenz (KI) Organisatorische Verankerung von Wissensmanagement Zentrale Rolle der CKM-Gruppe und des Fachzentrums für Knowledge Management Bedeutung von Sponsoren im Top-Management (z.B. Prof. Peter Pribilla) Umorganisationen und deren Auswirkungen: Auflösung der zentralen Einheiten, Verschiebung der Schwerpunkte zu Prozessmanagement und Social Collaboration Herausforderungen durch fehlendes Mandat und Ressourcen nach Umorganisationen Überleben des Themas durch Plattformen wie Wikis, trotz organisatorischer Hürden Diskussion: Was braucht die organisatorische Verankerung? Bottom-up, Top-down und „Middle-up-Down“-Ansatz, Notwendigkeit von Management-Attention UND Community Bedeutung der Anbindung an Strategie und Kernprozesse Wissensmanagement als Teil von Resilienz und Wettbewerbsfähigkeit, idealerweise in der Unternehmensstrategie verankert Wenn Siemens wüsste … Ursprung und Bedeutung des Zitats: „Wenn Siemens wüsste, was Siemens alles weiß, dann wäre Siemens unschlagbar“ (Karlheinz Kaske, 1988) Verbreitung des Mottos in der Wissensmanagement-Community und Adaption durch andere Unternehmen Zentrale Aussage: Wettbewerbsfähigkeit und Resilienz als Ziele von Wissensmanagement Plädoyer: Wissensmanagement als strategisches Unternehmensziel, nicht nur als Tool-Thema Idee: Investoren und Finanzanalysten als neue Stakeholder für Wissensmanagement-Engagement Kontinuität als Herausforderung – Wissensmanagement braucht nachhaltige Aufmerksamkeit und Einbindung Tipps für den Einstieg ins Wissensmanagement Technologische Entwicklungen im Blick behalten, aber immer mit Blick auf die langfristigen Grundlagen des Wissensmanagements Aktueller Hebel: KI und Verknüpfung mit gepflegten, offenen Wissensquellen wie Corporate Wikis Empfehlung: Offenheit und Freigabe für alle Mitarbeitenden als Erfolgsfaktor für Wissensplattformen Klassiker lesen: Nonaka (), Probst (), „Wissen gewinnt“ von Zucker/Schmitz, Peter Druckers Postkapitalistische Gesellschaft Kombination aus Tradition (Grundlagen verstehen) und Innovation (neue Technologien nutzen) Hartnäckigkeit und Durchhaltevermögen: Wellen reiten, aber auch Rückschläge aushalten und am Thema dranbleiben Community-Management und strategische Einbindung als Erfolgsrezepte Tipp: KI und Wissensmanagement kreativ kombinieren und klassische Prinzipien neu interpretieren Der im Podcast erwähnte “Artikel” wird im Rahmen einer Jubiläumsschrift der Gesellschaft für Wissensmanagement im Lauf des Jahres auf gfwm.de erscheinen.

Maelstrom looms in the distance, will the party approach starboard or from the rear?  This month we're sponsored by @JoinThePartyPod and @MultitudeShows! Their commitment to supporting independent creators shows how much they value our community. Check out their amazing actual play podcast - new episodes every Tuesday! JoinThePartyPod.com Support us at - https://www.patreon.com/chasmquest Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Andrew Palmer - Dungeon Master, and Creator, Taylor Haydel - Eyas, Music, and Graphic Design, Collin Allen - Khol-Uun Micah Jordan - Thelneous Special Guests: Cass of The Lovelycraftians as Celesie Ray Merz of The Nerd Asylum as Berta Kyrie (aka Nifer) returning as Daught Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch(https://ivanduch.com) Cinematic Atmos © 2024 by Monument Studios is licensed under Creative Commons Attribution 4.0 International Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY

Pacts are made, and siblings rival all while coasting down the Lake of Demon Blood. Sounds like such a fun family vacation right? Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Support us at - https://www.patreon.com/chasmquest  Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Special Guests Cass of The Lovelycraftians as Celesie  Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch(https://ivanduch.com) Cinematic Atmos © 2024 by Monument Studios is licensed under Creative Commons Attribution 4.0 International  Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

This week we talk about AI chatbots, virtual avatars, and romance novels.We also discuss Inkitt, Galatea, and LLM grooming.Recommended Book: New Cold Wars by David E. SangerTranscriptThere's evidence that the US Trump administration used AI tools, possibly ChatGPT, possibly another, similar model or models, to generate the numbers they used to justify a recent wave of new tariffs on the country's allies and enemies.It was also recently reported that Democratic mayoral candidate Andrew Cuomo used AI-generated text and citations in a plan he released called Addressing New York's Housing Crisis. And this case is a bit more of a slam dunk, as whomever put the plan together for him seems to have just copy-pasted snippets from the ChatGPT interface without changing or checking them—which is increasingly common for all of us, as such interfaces are beginning to replace even search engine results, like those provided by Google.But it's also a practice that's generally frowned upon, as—and this is noted even in the copy provided alongside many such tools and their results—these systems provide a whole lot of flawed, false, incomplete, or otherwise not-advisable-to-use data, in some cases flubbing numbers or introducing bizarre grammatical inaccuracies, but in other cases making up research or scientific papers that don't exist, but presenting them the same as they would a real-deal paper or study. And there's no way to know without actually going and checking what these things serve up, which can, for many people at least, take a long while; so a lot of people don't do this, including many politicians and their administrations, and that results in publishing made-up, baseless, numbers, and in some cases wholesale fabricated claims.This isn't great for many reasons, including that it can reinforce our existing biases. If you want to slap a bunch of tariffs on a bunch of trading partners, you can ask an AI to generated some numbers that justify those high tariffs, and it will do what it can to help; it's the ultimate yes-man, depending on how you word your queries. And it will do this even if your ask is not great or truthful or ideal.These tools can also help users spiral down conspiracy rabbit holes, can cherry-pick real studies to make it seem as if something that isn't true is true, and it can help folks who are writing books or producing podcasts come up with just-so stories that seem to support a particular, preferred narrative, but which actually don't—and which maybe aren't even real or accurate, as presented.What's more, there's also evidence that some nation states, including Russia, are engaging in what's called LLM grooming, which basically means seeding false information to sources they know these models are trained on so that said models will spit out inaccurate information that serves their intended ends.This is similar to flooding social networks with misinformation and bots that seem to be people from the US, or from another country whose elections they hope to influence, that bot apparently a person who supports a particular cause, but in reality that bot is run by someone in Macedonia or within Russia's own borders. Or maybe changing the Wikipedia entry and hoping no one changes it back.Instead of polluting social networks or Wikis with such misinfo, though, LLM grooming might mean churning out websites with high SEO, search engine optimization rankings, which then pushes them to the top of search results, which in turn makes it more likely they'll be scraped and rated highly by AI systems that gather some of their data and understanding of the world, if you want to call it that, from these sources.Over time, this can lead to more AI bots parroting Russia's preferred interpretation, their propaganda, about things like their invasion of Ukraine, and that, in turn, can slowly nudge the public's perception on such matters; maybe someone who asks ChatGPT about Russia's invasion of Ukraine, after hearing someone who supports Russia claiming that it was all Ukraine's fault, and they're told, by ChatGPT, which would seem to be an objective source of such information, being an AI bot, that Ukraine in fact brought it upon themselves, or is in some way actually the aggressor, which would serve Russia's geopolitical purposes. None of which is true, but it starts to seem more true to some people because of that poisoning of the informational well.So there are some issues of large, geopolitical consequence roiling in the AI space right now. But some of the most impactful issues related to this collection of technologies are somewhat smaller in scale, today, at least, but still have the potential to disrupt entire industries as they scale up.And that's what I'd like to talk about today, focusing especially on a few recent stories related to AI and its growing influence in creative spaces.—There's a popular meme that's been shuffling around social media for a year or two, and a version of it, shared by an author named Joanna Maciejewska (machie-YEF-ski) in a post on X, goes like this: “You know what the biggest problem with pushing all-things-AI is? Wrong direction. I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.”It could be argued, of course, that we already have technologies that do our laundry and dishes, and that AI has the capacity to make both of those machines more efficient and effective, especially in term of helping manage and moderate increasingly renewables-heavy electrical grids, but the general concept here resonates with a lot of people, I think: why are some of the biggest AI companies seemingly dead-set on replacing creatives, who are already often suffering from financial precarity, but who generally enjoy their work, or at least find it satisfying, instead of automating away the drudgery many of us suffer in the work that pays our bills, in our maintenance of our homes, and in how we get around, work on our health, and so on.Why not automate the tedious and painful stuff rather than the pleasurable stuff, basically?I think, looking at the industry more broadly, you can actually see AI creeping up on all these spaces, painful and pleasurable, but generative AI tools, like ChatGPT and its peers, seem to be especially good at generating text and images and such, in part because it's optimized for communication, being a chatbot interface over a collection of more complex tools, and most of our entertainments operate in similar spaces; using words, using images, these are all things that overlap with the attributes that make for a useful and convincing chatbot.The AI tools that produce music from scratch, writing the lyrics and producing the melodies and incorporating different instruments, working in different genres, the whole, soup to nuts, are based on similar principles to AI systems that work with large sets of linguistic training data to produce purely language based, written outputs.Feed an AI system gobs of music, and it can learn to produce music at the prompting of a user, then, and the same seems to be true of other types of content, as well, from images to movies to video games.This newfound capacity to spit out works that, for all their flaws, would have previously requires a whole lot of time and effort to produce, is leading to jubilation in some spaces, but concern and even outright terror in others.I did an episode not long ago on so-called ‘vibe coding,' about people who in some cases can't code at all, but who are producing entire websites and apps and other products just by learning how to interact with these AI tools appropriately. And these vibe coders are having a field day with these tools.The same is increasingly true of people without any music chops who want to make their own songs. Folks with musical backgrounds often get more out of these tools, same as coders tend to get more from vibe coding, in part because they know what to ask for, and in part because they can edit what they get on the other end, making it better and tweaking the output to make it their own.But people without movie-making skills can also type what they want into a box and have these tools spit out a serviceable movie on the other end, and that's leading to a change similar to what happened when less-fiddly guns were introduced to the battlefield: you no longer needed to have super well-trained soldiers to defeat your enemies, you could just hand them a gun and teach them to shoot and reload it, and you'd do pretty well; you could even defeat some of your contemporaries who had much better trained and more experienced soldiers, but who hadn't yet made the jump to gunpowder weapons.There are many aspects to this story, and many gray areas that are not as black and white as, for instance, a non-coder suddenly being able to out-code someone who's worked really hard to become a decent coder, or someone who knows nothing about making music creating bops, with the aide of these tools, that rival those of actual musicians and singers who have worked their whole life to be able to the same.There have been stories about actors selling their likenesses to studios and companies that work with studios, for instance, those likenesses then being used by clients of those companies, often without the actors' permission.For some, this might be a pretty good deal, as that actor is still free to pursue the work they want to do, and their likeness can be used in the background for a fee, some of that fee going to the actor, no additional work necessary. Their likeness becomes an asset that they wouldn't have otherwise had—not to be used and rented out in that capacity, at least—and thus, for some, this might be a welcome development.This has, in some cases though, resulted in situations in which said actor discovers that their likeness is being used to hawk products they would never be involved with, like online scams and bogus health cures. They still receive a payment for that use of their image, but they realize that they have little or no control over how and when and for what purposes it's used.And because of the aforementioned financial precarity that many creatives in particular experience as a result of how their industries work, a lot of people, actors and otherwise, would probably jump at the chance to make some money, even if the terms are abusive and, long-term, not in their best interest.Similar tools, and similar financial arrangements, are being used and made in the publishing world.An author named Manjari Sharma wrote her first book, an enemies-to-lovers style romance, in a series of installments she published on the free fanfic platform Wattpad during the height of the Covid pandemic. She added it to another, similar platform, Inkitt, once it was finished, and it garnered a lot of attention and praise on both.As a result of all that attention, the folks behind Inkitt suggested she move it from their free platform to their premium offering, Galatea, which would allow Sharma to earn a portion of the money gleaned from her work.The platform told her they wanted to turn the book into a series in early 2024, but that she would only have a few weeks to complete the next book, if she accepted their terms. She was busy with work, so she accepted their offer to hire a ghostwriter to produce the sequel, as they told her she'd still receive a cut of the profits, and the fan response to that sequel was…muted. They didn't like it. Said it had a different vibe, wasn't well-written, just wasn't very good. Lacked the magic of the original, basically.She was earning extra money from the sequel, then, but no one really enjoyed it, and she didn't feel great about that. Galatea then told Sharma that they would make a video series based on the books for their new video app, 49 episodes, each a few minutes long, and again, they'd handle everything, she'd just collect royalties.The royalty money she was earning was a lot less than what traditional publishers offer, but it was enough that she was earning more from those royalties than from her actual bank job, and the company, due to the original deal she made when she posted the book to their service, had the right to do basically anything they wanted with it, so she was kind of stuck, either way.So she knew she had to go along with whatever they wanted to do, and was mostly just trying to benefit from that imbalance where possible. What she didn't realize, though, was that the company was using AI tools to, according to the company's CEO, “iterate on the stories,” which basically means using AI to produce sequels and video content for successful, human-written books. As a result of this approach, they have just one head of editorial and five “story intelligence analysts” on staff, alongside some freelancers, handling books and supplementary content written by about 400 authors.As a business model, it's hard to compete with this approach.As a customer, at the moment, at least, with today's tools and our approach to using them, it's often less than ideal. Some AI chatbots are helpful, but many of them just gatekeep so a company can hire fewer customer service humans, saving the business money at the customer's expense. That seems to be the case with this book's sequel, too, and many of the people paying to read these things assumed they were written by humans, only to find, after the fact, that they were very mediocre AI-generated knock-offs.There's a lot of money flooding into this space predicated in part on the promise of being able to replace currently quite expensive people, like those who have to be hired and those who own intellectual property, like the rights to books and the ideas and characters they contain, with near-free versions of the same, the AI doing similar-enough work alongside a human skeleton crew, and that model promises crazy profits by earning the same level of revenue but with dramatically reduced expenses.The degree to which this will actually pan out is still an open question, as, even putting aside the moral and economic quandary of what all these replaced creatives will do, and the legal argument that these AI companies are making right now, that they can just vacuum up all existing content and spit it back out in different arrangements without that being a copyright violation, even setting all of that aside, the quality differential is pretty real, in some spaces right now, and while AI tools do seem to have a lot of promise for all sorts of things, there's also a chance that the eventual costs of operating them and building out the necessary infrastructure will fail to afford those promised financial benefits, at least in the short term.Show Noteshttps://www.theverge.com/news/648036/intouch-ai-phone-calls-parentshttps://arstechnica.com/ai/2025/04/regrets-actors-who-sold-ai-avatars-stuck-in-black-mirror-esque-dystopia/https://archive.ph/gzfVChttps://archive.ph/91bJbhttps://www.cnn.com/2025/03/08/tech/hollywood-celebrity-deepfakes-congress-law/index.htmlhttps://www.npr.org/2024/12/21/nx-s1-5220301/deepfakes-memes-artificial-intelligence-electionshttps://techcrunch.com/2025/04/13/jack-dorsey-and-elon-musk-would-like-to-delete-all-ip-law/https://www.404media.co/this-college-protester-isnt-real-its-an-ai-powered-undercover-bot-for-cops/https://hellgatenyc.com/andrew-cuomo-chatgpt-housing-plan/https://www.theverge.com/news/642620/trump-tariffs-formula-ai-chatgpt-gemini-claude-grokhttps://www.wsj.com/articles/ai-cant-predict-the-impact-of-tariffsbut-it-will-try-e387e40chttps://www.washingtonpost.com/technology/2025/04/17/llm-poisoning-grooming-chatbots-russia/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

A portal into the Abyss sets our Rowdy Boys into a new realm of fear, loathing, and sibling rivalries?! Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Support the show at patreon.com/ChasmQuest Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Special Guests Cass of The Lovelycraftians as Celesie  Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch(https://ivanduch.com) Cinematic Atmos © 2024 by Monument Studios is licensed under Creative Commons Attribution 4.0 International  Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

Join the Rowdy Boys for a discussion of Episodes 30-35 of Season 4, find more bonus content like this on Patreon.com/ChasmQuest Andrew Palmer - Dungeon Master, and Creator, Taylor Haydel - Eyas, Music, and Graphic Design, Collin Allen - Khol-Uun Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

A formerly Patreon-only remastered release of Rowdy Freaky Friday. This was a bonus episode that we recorded after reaching our $50 a month goal on Patreon in 2019, now remastered and rereleased for all to enjoy! Thanks to all our patrons, you're the rowdiest crew around and we have so much love and appreciation for you. We'd also like to announce our NEW GOAL for $100 a month, for which we'll record a Rowdy Chaotic Goblin bonus episode! To contribute visit and support us at: Patreon.com/ChasmQuest Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous and Special Return of Brad as Rory! Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com Support us at www.Patreon.com/ChasmQuest   New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

With the soul of Alistair Popkin in tow, the Rowdy Boys continue their search of the Popkin Estate, looking for a way into the Abyss. They're close, but can they defeat the final challenges of this wicked house's dungeons? Find out on this epic episode of ChasmQuest. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

“The Tsuki Project” was a once-active community of likeminded 4chan anons who longed to be transported into a better world. And they believed that by participating in this community formed around the promises and lore of someone named Tsuki, they could enter into this better world after they died. This is a community that first formed in 2017 and has since dissipated into the online ether. It's hard to say what the Tsuki Project was exactly. It has been described as anime suicide cult, a digital version of Heaven's Gate, a hoax, a piece of interactive fiction, an Alternate Reality Game, or just a group of lonely, depressed people who were sucked into one person's maladative daydreams. It was probably a swirl of all of those things. What exactly happened has to be pieced together from archived imageboard posts, websites that only survive as zip files, anime Wikis, and leaked screenshots from Discord servers. This is the story of the Tsuki project based on the surviving records. Subscribe for $5 a month to get all the premium episodes: http://www.patreon.com/QAA Editing by Corey Klotz. Theme by Nick Sena. Additional music by Pontus Berghe, Jake Rockatansky, and Corey Klotz. Theme Vocals by THEY/LIVE (https://instagram.com/theyylivve / https://sptfy.com/QrDm). Cover Art by Pedro Correa: (https://pedrocorrea.com) https://qaapodcast.com QAA was known as the QAnon Anonymous podcast.

Last episode the Rowdy Boys put the whoop on Alistair Popkin so bad that his soul left his body and entered Thelneous' cage. They still have the second floor to cover at the Popkin Estate, and eventually... the dungeon. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/CQUEST Promo Code CQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

Show DescriptionIn this episode, we kick off the New Year with chats about battling illness over the holidays, the challenges of maintaining productivity, the differences between slash pages, wikis, and blog posts, how we use RSS, the importance of containers and context, Dave talks about living with ADHD, developing a system approach to CSS, Chris' thoughts on upgrading to an M4 MacBook Pro, and writing in Pug. Listen on Website →Links Chris Coyier.net slash pages /uses chipotle - IndieWeb Digital gardening daverupert.com Feedbin Reeder NetNewsWire: Free and Open Source RSS Reader for Mac and iOS Unread: An RSS Reader Riverside: HD Podcast & Video Software | Free Recording & Editing I got the ADHD, too - daverupert.com My ADHD diagnosis process | Brad Frost CSS wants to be a system - daverupert.com M4 – Chris Coyier Getting Started – Pug Sponsors

Are you ready for the Popkin Estate? Is the Popkin Estate ready for the Rowdy Boys? The answer is no... no one was ready for this. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

The Rowdy Boys gather together once more and set sights on two things, a dragon heart at the Popkin Estate, and a way to travel to the Abyss. But first things first, a council meeting.  Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

A look back on what Thelneous found in the cultist lair, and his return to the wizard's tower, where a conversation with Izzy of the Fey Realm reveals how they could travel to the Abyss. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

pWotD Episode 2735: Wiki Welcome to Popular Wiki of the Day, spotlighting Wikipedia's most visited pages, giving you a peek into what the world is curious about today.With 633,663 views on Sunday, 27 October 2024 our article of the day is Wiki.A wiki ( WI-kee) is a form of hypertext publication on the internet which is collaboratively edited and managed by its audience directly through a web browser. A typical wiki contains multiple pages that can either be edited by the public or limited to use within an organization for maintaining its internal knowledge base.Wikis are powered by wiki software, also known as wiki engines. Being a form of content management system, these differ from other web-based systems such as blog software or static site generators in that the content is created without any defined owner or leader. Wikis have little inherent structure, allowing one to emerge according to the needs of the users. Wiki engines usually allow content to be written using a lightweight markup language and sometimes edited with the help of a rich-text editor. There are dozens of different wiki engines in use, both standalone and part of other software, such as bug tracking systems. Some wiki engines are free and open-source, whereas others are proprietary. Some permit control over different functions (levels of access); for example, editing rights may permit changing, adding, or removing material. Others may permit access without enforcing access control. Further rules may be imposed to organize content. In addition to hosting user-authored content, wikis allow those users to interact, hold discussions, and collaborate.There are hundreds of thousands of wikis in use, both public and private, including wikis functioning as knowledge management resources, note-taking tools, community websites, and intranets. Ward Cunningham, the developer of the first wiki software, WikiWikiWeb, originally described wiki as "the simplest online database that could possibly work". "Wiki" (pronounced [wiki]) is a Hawaiian word meaning "quick".The online encyclopedia project Wikipedia is the most popular wiki-based website, as well being one of the internet's most popular websites, having been ranked consistently as such since at least 2007. Wikipedia is not a single wiki but rather a collection of hundreds of wikis, with each one pertaining to a specific language. The English-language Wikipedia has the largest collection of articles, standing at 6,900,744 as of October 2024.This recording reflects the Wikipedia text as of 02:47 UTC on Monday, 28 October 2024.For the full current version of the article, see Wiki on Wikipedia.This podcast uses content from Wikipedia under the Creative Commons Attribution-ShareAlike License.Visit our archives at wikioftheday.com and subscribe to stay updated on new episodes.Follow us on Mastodon at @wikioftheday@masto.ai.Also check out Curmudgeon's Corner, a current events podcast.Until next time, I'm neural Salli.

After finding the tomb of his late mother, Kara (aka Vanessa), Eyas finds a tome that reveals the past of his family's lineage. The stories of the Whitehammer family and the origins of the famed weapon. Andrew Palmer - Dungeon Master, and Creator, Taylor Haydel - Eyas Sinthorn / Whitehammer   Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com Support us at patreon.com/ChasmQuest  New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

Subscriber-only episodeVeronica and Wallace set up a Grey Poupon situation for Rashard, and maybe kidnapped a real driver instead of using an actor? BTW, Rashard is a very talented basketball player, who's about to get money leaked all over him. Please keep us going from too deep into the Wikis by telling us if that was a real Veronica song, of if that guy "Wayne Brady-ed"? Also Bryan maybe can't whistle!?Subscribe to our Patreon to access the video version, our Discord community, plus all of our other bonus content.Send us a text

Eyas finds himself out and about in the Kingdom Kilgannon, follow him as he plots at the piers, shares a drink with a friend, and explores the Whitehammer Castle. Andrew Palmer - Dungeon Master, and Creator, Taylor Haydel - Eyas Sinthorn / Whitehammer   Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com Support us at patreon.com/ChasmQuest  New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

A very merry day out with Khol-Uun and Doaught. Follow them to the Roc Haven Menagerie where Nika shares her marvelous creatures. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Featuring Special Guest Kyrie (@NiferNif) as Doaught the totally normal child   Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com Support us at patreon.com/ChasmQuest  New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

Doaught and Khol-Uun get settled in Kilgannon, but when our sweet lil innocent friend goes to sleep for the first time in her new orphanage home, something magical happens. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Featuring Special Guest Kyrie (@NiferNif) as Doaught the totally normal child   Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com Support us at patreon.com/ChasmQuest  New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

The Rowdy Boys led by Doaught the wickedly mysterious child go deeper underground to root out the evil scourge of a blasphemous cult. Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Music, and Graphic Design, Micah Jordan - Thelneous Featuring Special Guest Kyrie (@NiferNif) as Doaught the totally normal child Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code CHASMQUEST20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

Do props, outlines, and other aids actually help in the writing? The DRS Crew ponders. Chat, as per usual, is chewing on lead paint chips Our links: Paul's store: https://payhip.com/paulecooley Paul's site:  https://shadowpublications.com Terry's site: https://www.terrymixon.com/ Veronica: http://www.voicesbyveronica.com/ Enjoy the show? Consider becoming a Patreon or Buy Me A Coffee supporter and for as little as $1 a month, you can help keep the podcast free and receive exclusive content. More information at https://patreon.com/drspodcast  and https://buymeacoffee.com/drspodcast.  

This is the eight and final episode in a series of short interviews recorded at the Wikimedia Summit 2024 in Berlin. Here we meet SJ Klein from Wikimedians for offline wikis. At the time of […]

Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Featuring Special Guest Kyrie (@NiferNif) as Doaught, the totally normal child Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at magicmind.co/Chasmquest Promo Code ROWDY20 Found Familiar Affiliate https://foundfamiliar.com/ Promo Code STAYROWDY Visit ChasmQuest.com to find Maps, Wikis, and Character Bios

Episode 165 of the Leader of Learning Podcast features John Sowash, an expert in all things Chromebooks, Google apps, and Google Workspace for Education live from the FETC conference in Orlando, Florida. John discusses the future of technology in education, specifically focusing on the impact of AI and the latest developments in Google's educational tools. John sheds light on the challenges and opportunities AI presents in the classroom and shares practical advice for teachers and leaders on navigating these new trends. Dan and John also delve into the exciting advancements in Chromebooks and how educators can leverage web-based tools for teaching and learning.Guest Information:Since 2011, John has worked with schools around the world, providing practical, hands-on professional development and technology integration support. He began his educational journey as a high school science teacher exploring the use of Google Docs and Wikis with ninth grade students. John eventually became a high school principal and helped his school launch one of the first 1:1 ipad programs in the country. When the Chromebook made it's appearance in 2011, he was convinced it was the perfect device for the classroom. John has spent years exploring, testing, listening, and watching the use of Chromebooks in classrooms. This research led to his first book, The Chromebook Classroom, which was released in 2016. In 2014 John started the Google Certification Academy, a program that helps educators earn their Google Certification. A few years later I added the Google Admin Bootcamp to help IT directors effectively manage the technical aspects of Chromebooks and Google Workspace for Education.John's WebsiteJohn's YouTube Channel******************************************************************ACCESS MY INSPIRING RESOURCES:SUBSCRIBE TO MY YOUTUBE CHANNELSign up for my email newsletterThe Teacher's Guide to Becoming a School Leader“Lead to Inspire Growth” eBookFREE “Unlock Your Leadership Potential” course******************************************************************Consider Becoming an Official Show Sponsor - https://leaderoflearning.com/press-kitTalk Studio is my recording platform of choice for video, audio, and even live streaming. For more information about Talk Studio and to receive 20% off your first billing cycle on ANY paid plan you sign up for, visit https://leaderoflearning.com/melonFollow Dr. Dan Kreiness on Social Media:Youtube ChannelTwitter/XInstagramLinkedInFacebookTikTokThe Leader Of Learning Podcast is a proud member of the Teach Better Podcast Network. For more information and to find other great podcasts, visit https://teachbetterpodcastnetwork.comMusic credits: https://www.purple-planet.com

A council is formed and meets for the first time. The Kilgannon Kingdom is fully realized after, of course, a bout of friendly debate about the ethics of assassinations.  Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code ROWDY20 Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios

A portal to another world? Isn't that what this podcast is? Well, even so yet another artifact is messing with our Rowdy Boys, but they at least have their strongholds built back at the Kingdom Kilgannon.    Featuring Amanda Bantug as Quinn the Tiefling // @Babybantug on Instagram | Website bantug.co  & Delaney McBride as Rosin Dune A.K.A Dark Rose // @handtoheartwellness on instagram |  Website handtoheartwellness.bigcartel.com   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org &  https://www.zapsplat.com   New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code ROWDY20 Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Support us at www.patreon.com/chasmquest   Join us on Discord at:  http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

The Rowdy Boys and new friends find Master Talan but it looks as though an old acquaintance has unfortunately found him first. What happens next is pure nightmare and chaos. They better hurry if they want to have any hope at saving their old friend and the Duke   Featuring Amanda Bantug as Quinn the Tiefling // @Babybantug on Instagram | Website bantug.co & Delaney McBride as Rosin Dune A.K.A Dark Rose // @handtoheartwellness on instagram |  Website handtoheartwellness.bigcartel.com   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org &  https://www.zapsplat.com   New Studio GoFundme! @ https://www.gofundme.com/f/chasmquest-is-building-a-live-studio New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code ROWDY20 Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Support us at www.patreon.com/chasmquest   Join us on Discord at:  http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

The Rowdy Boys head to the Burrows where they discover what it means to hang loose. A Tiefling gives a show stopping musical performance and a forager holds a seance to help locate Duke Eirwyn and Master Talan. What magic lies in store for our heroes? Follow the chill cat in sunglasses and perhaps the answers will be found...   Musical Performance: “High Worry” by Bantug   Featuring Amanda Bantug as Quinn the Tiefling // @Babybantug on Instagram | Website bantug.co & Delaney McBride as Rosin Dun A.K.A Dark Rose // @handtoheartwellness on instagram |  Website handtoheartwellness.bigcartel.com   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org &  https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code ROWDY20 Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Help support our studio equipment w/ donations to  https://www.gofundme.com/f/chasmquest-is-building-a-live-studio   Support us at www.patreon.com/chasmquest   Join us on Discord at:  http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

The Rowdy Boys try diplomacy once more, this time to a new host of open ears (and hungry pets). Eyas, Khol-Uun, and Thelneous begin plans on different buildings to begin constructing in Kilgannon and Leon of course builds a place for drink! *Everyone High-Fives*  It's time for a HOME MAKEOVER!!!   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas, Sound Design, Music, and Graphic Design, Micah Jordan - Thelneous Voices joining us at the table - Amanda Bantug & Delaney McBride (features coming soon) Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org &  https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code ROWDY20 Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Support us at www.patreon.com/chasmquest   Join us on Discord at:  http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Kilgannon Kingdom has been establish, but how will the Rowdy Boys pay for the repairs on their settlement? Commander Leon has an idea that sends the crew north to his old hunting lodge (that is totally NOT a timeshare).  Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas and Graphic Design, Micah Jordan - Thelneous  Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch www.patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com  New Merch Store https://chasmquest.threadless.com/  Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% off your order. Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Follow www.twitch.tv/chasmquest and www.youtube.com/chasmquest  Join us on Discord at: http://discordapp.com/invite/6PTKPcn  Instagram, and Twitter: @ChasmQuest  ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

The Rowdy Boys are back to set up a new kingdom, one where roots can grow, knees can bend, and ladies can become queens.  Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas and Graphic Design, Micah Jordan - Thelneous  Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch www.patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com  New Merch Store https://chasmquest.threadless.com/  Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% off your order. Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Follow www.twitch.tv/chasmquest and www.youtube.com/chasmquest  Join us on Discord at: http://discordapp.com/invite/6PTKPcn  Instagram, and Twitter: @ChasmQuest  ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

The Rowdy Boys say goodbye to a fallen warrior (TW - dead body description) Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas and Graphic Design, Micah Jordan - Thelneous  Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch www.patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com  New Merch Store https://chasmquest.threadless.com/  Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% off your order. Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Follow www.twitch.tv/chasmquest and www.youtube.com/chasmquest  Join us on Discord at: http://discordapp.com/invite/6PTKPcn  Instagram, and Twitter: @ChasmQuest  ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Eyas and Graphic Design, Micah Jordan - Thelneous  Featuring Micah Wright as Sailyn of the Oak Tribe Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% off your order. Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Follow twitch.tv/chasmquest and youtube.com/chasmquest Join us on Discord at: http://discordapp.com/invite/6PTKPcn Twitch, Instagram, and Twitter: @ChasmQuest ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Battle commences as Khol-Uun aims to kill the elf pirate Brim. The evil captain and his followers have opened a portal to the abyss and, though our heroes outnumber the enemy, things take a drastically dangerous turn for the worst when screams can be heard coming from inside the magical doorway.   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Brim, Lou the Seadog Pirate, Sound Design, Music, and Graphic Design, Featuring Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch ( https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% off your order. Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Join us on Discord at: http://discordapp.com/invite/6PTKPcn Twitch, Instagram, and Twitter: @ChasmQuest ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Khol-Uun, Nika, and Ezric catch up with Berta and Lou. They press onward and quickly stumble upon a dungeon where a battered prisoner lies agonizing behind bars. Can the party bust them out? Perhaps... but a hellishly sinister guard might have a different plan...   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Lou the Seadog Pirate, Sound Design, Music, and Graphic Design, Featuring Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch ( https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for 20% of your purchase Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Join us on Discord at: http://discordapp.com/invite/6PTKPcn Twitch, Instagram, and Twitter: @ChasmQuest ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Rudy, the man Khol-Uun left in charge of No Holds Bard, mentions a man by the name of Ezric, owner of the Barrel & Barley Brewery, who may be of some very valuable assistance. Meanwhile Berta and Lou chase after a sharp fanged villain underneath the city.   Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Lou the Seadog Pirate, Sound Design, and Graphic Design, Featuring Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring  music and ambience by Ivan Duch patreon.com/ivanduch ( https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for up to 56% off your subscription for the next 10 Days! Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios Support us at www.patreon.com/chasmquest Join us on Discord at: http://discordapp.com/invite/6PTKPcn Twitch, Instagram, and Twitter: @ChasmQuest ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.

Khol-Uun, Berta, Nika, and Lou arrive at Auchtercrag for Phase one of their plan. Time to gather intel on the whereabouts of the Elf Pirate Brim. Khol-Uun visits a few old friends for rumors around town while Berta and Lou hit the pub to do the same. Trouble is one thing our heroes would like to avoid, but Berta may have found it enjoying a drink at the bar… Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Lou the Seadog Pirate, Sound Design, Music, and Graphic Design, Featuring Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Additional sound effects from https://www.freesound.org  New Merch Store https://chasmquest.threadless.com/ Magic Mind at www.magicmind.co/Chasmquest Promo Code STAYROWDY for up to 56% off your subscription for the next 10 Days! Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Support us at www.patreon.com/chasmquest   Join us on Discord at:  http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.  

Our story takes us over to the Abbey of the Eights in Penton. Khol-Uun sits formulating arrangements to help out the local orphanage but, all the while, a plan begins to brew on how he can put an end to the pirate, Brim Corin. Certainly Henri Locke must have some answers, but no sooner does he find Henri when another familiar face surprises him at the docks.    Andrew Palmer - Dungeon Master, and Creator, Collin Allen - Khol-Uun Taylor Haydel - Lou the Seadog Pirate, Sound Design, Music, and Graphic Design, Featuring Ray Merz of The Nerd Asylum as Berta Sam Anderson - Theme Song Composer Featuring additional music and ambience by Ivan Duch patreon.com/ivanduch (https://ivanduch.com) Additional sound effects from https://www.freesound.org & https://www.zapsplat.com New Merch Store https://chasmquest.threadless.com/   Visit www.ChasmQuest.com to find Maps, Wikis, and Character Bios   Support us at www.patreon.com/chasmquest   Join us on Discord at: http://discordapp.com/invite/6PTKPcn   Twitch, Instagram, and Twitter: @ChasmQuest   ChasmQuest is a ttrpg podcast compatible with the Dungeons and Dragons 5e system, a tabletop roleplaying game (ttrpg), to tell you a story. We create characters blend the styles of actual play D&D / Dnd / RPG and audio drama to bring you a fun-filled adventure with both hilarity and heart pounding action. You're sure to fall in love with our PCs and NPCs in this completely original fantasy world full of monsters, pirates, and a narrative full of improv and comedy. Listen now as the dice determine our destiny.  

Summary Making effective use of data requires proper context around the information that is being used. As the size and complexity of your organization increases the difficulty of ensuring that everyone has the necessary knowledge about how to get their work done scales exponentially. Wikis and intranets are a common way to attempt to solve this problem, but they are frequently ineffective. Rehgan Avon co-founded AlignAI to help address this challenge through a more purposeful platform designed to collect and distribute the knowledge of how and why data is used in a business. In this episode she shares the strategic and tactical elements of how to make more effective use of the technical and organizational resources that are available to you for getting work done with data. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode (https://www.dataengineeringpodcast.com/linode) today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don't forget to thank them for their continued support of this show! Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Go to dataengineeringpodcast.com/atlan (https://www.dataengineeringpodcast.com/atlan) today to learn more about how Atlan's active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you're not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. Start trusting your data with Monte Carlo today! Visit dataengineeringpodcast.com/montecarlo (http://www.dataengineeringpodcast.com/montecarlo) to learn more. Your host is Tobias Macey and today I'm interviewing Rehgan Avon about her work at AlignAI to help organizations standardize their technical and procedural approaches to working with data Interview Introduction How did you get involved in the area of data management? Can you describe what AlignAI is and the story behind it? What are the core problems that you are focused on addressing? What are the tactical ways that you are working to solve those problems? What are some of the common and avoidable ways that analytics/AI projects go wrong? What are some of the ways that organizational scale and complexity impacts their ability to execute on data and AI projects? What are the ways that incomplete/unevenly distributed knowledge manifests in project design and execution? Can you describe the design and implementation of the AlignAI platform? How have the goals and implementation of the product changed since you first started working on it? What is the workflow at the individual and organizational level for businesses that are using AlignAI? One of the perennial challenges with knowledge sharing in an organization is managing incentives to engage with the available material. What are some of the ways that you are working to integrate the creation and distribution of institutional knowledge into employees' day-to-day work? What are the most interesting, innovative, or unexpected ways that you have seen AlignAI used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on AlignAI? When is AlignAI the wrong choice? What do you have planned for the future of AlignAI? Contact Info LinkedIn (https://www.linkedin.com/in/rehganavon/) @RehganAvon (https://twitter.com/RehganAvon) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links AlignAI (https://www.getalignai.com/) Sharepoint (https://en.wikipedia.org/wiki/SharePoint) Confluence (https://en.wikipedia.org/wiki/Confluence_(software)) GitHub (https://github.com/) Canva (https://www.canva.com/) Instructional Design (https://en.wikipedia.org/wiki/Instructional_design) Notion (https://www.notion.so/) Coda (https://coda.io/) Waterfall Design (https://en.wikipedia.org/wiki/Waterfall_model) dbt (https://www.getdbt.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dbt-data-analytics-episode-81/) Alteryx (https://www.alteryx.com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

It's a day of celebration in the clubhouse as Ellen finally starts Metroid Dread. Meanwhile, Mark delivers, and Stephen looks it up (but isn't happy about it).André 3000 on the 10th anniversary of his ‘Class of 3000' soundtrack - David Dennis Jr., AndscapeHint, hint... - Mike Rose, Twitter Milestone Builds 0:13:18 Mark LaCroixProductionMilestone - Wikipedia Wikis and Guides 0:46:47 Ellen Burns-JohnsonGamingHow to pause Elden Ring - Jeffrey Parkin, Polygon

It's a day of celebration in the clubhouse as Ellen finally starts Metroid Dread. Meanwhile, Mark delivers, and Stephen looks it up (but isn't happy about it).André 3000 on the 10th anniversary of his ‘Class of 3000' soundtrack - David Dennis Jr., AndscapeHint, hint... - Mike Rose, Twitter Milestone Builds 0:13:18 Mark LaCroixProductionMilestone - Wikipedia Wikis and Guides 0:46:47 Ellen Burns-JohnsonGamingHow to pause Elden Ring - Jeffrey Parkin, Polygon

In addition to answering your questions, this week Noah and Steve give you some tips and tricks to getting started with a home lab! -- During The Show -- IOT, Wikis etc - Shawn David Hunt (http://www.davidhunt.ie/) HC-SR04 (https://cloudfree.shop/product/ultrasonic-distance-sensor-hc-sr04/) ESP 8266 (https://cloudfree.shop/product/esp8266-wifi-dev-board/) D1 Mini (https://cloudfree.shop/product/wemos-d1-mini-esp8266/) Aqara Leak Sensor (https://cloudfree.shop/product/aqara-water-sensor/) Home Depot Leak Detector (https://www.homedepot.com/p/MOEN-Smart-Leak-Detectors-3-Pack-920-005/313196961) Honeywell Water Sensor (https://www.filtersfast.com/p-Honeywell-WHLDT1000-Water-Leak-Detector.asp) Citadel (https://www.citadel.org/) Zimbra (https://www.zimbra.com/) Nextcloud (https://nextcloud.com/) WikiJS (https://js.wiki/) Confluence (https://www.atlassian.com/software/confluence/guides/get-started/confluence-overview) Photo Duplicate App - Jeremy PhotoRec (https://www.cgsecurity.org/wiki/PhotoRec) Photo Prism (https://photoprism.app/) Tech Mint Dedupe Files in Linux (https://www.tecmint.com/fdupes-find-and-delete-duplicate-files-in-linux/) User Responds to Nextcloud on Ep 266 - Ashley Cert Issue LAN access with Cisco VPN and docker - ? Need more information Call In! QNAP Follow up - Brad Will take a look at ZFS Send Installing TrueNAS on a Qnap Pick of the Week Swaks (https://jetmore.org/john/code/swaks/) Swiss Army Knife for SMTP, ESMTP and LMTP SMTP Extensions Written and maintained by John Jetmore Gadget of the Week Aria-net.org (https://aria-net.org/SitePages/Portal/Bridges.aspx) How federation works Bifrost bridge JMP.chat (https://jmp.chat/) NewsWire Ubuntu 20.04 released (https://lists.ubuntu.com/archives/ubuntu-announce/2022-February/000277.html) Alma Linux for PowerPC (https://wiki.almalinux.org/release-notes/8.5-ppc.html) Gnome Release (https://mail.gnome.org/archives/devel-announce-list/2022-February/msg00002.html) Linux Mint Release (https://blog.linuxmint.com/?p=4281) Torvalds Worried (https://www.techradar.com/news/torvalds-admits-hes-a-bit-worried-about-the-next-linux-build) ReiserFS in the Linux Kernel (https://www.theregister.com/2022/02/24/linux_kernel_takes_a_step/) Github Open Source Security (https://www.protocol.com/newsletters/protocol-enterprise/github-open-source-security-singularity) Test Sigma (https://insidehpc.com/2022/02/testsigma-raises-4-6m-for-open-source-test-automation/) Red Hat Joins Magma Core (https://www.prnewswire.com/news-releases/red-hat-joins-magma-core-foundation-at-premier-level-community-set-to-further-open-source-mobile-packet-core-301491306.html) Home Lab Set Up What are you trying to achieve? Syncthing (https://syncthing.net/) Seafile (https://www.seafile.com/) Next Cloud (https://nextcloud.com/) Backups SpiderOak (https://spideroak.com/) Ice Drive (https://icedrive.net/) Encryption Threat Modeling Offline Data Noah's Backup Strategy Start with data storage -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/275) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed) Special Guest: Steve Ovens.

Today, at the end of Season 2,  I go (deep) 'down the rabbit hole' to discuss reality in this solo episode. Since losing your loved one to suicide have you ever questioned reality? I know the edge of reality -and ‘someplace else' - is a place I have often found myself firmly standing since the loss of my son Alex to suicide in 2016. This has happened for a few reasons I think. I think synchronicities are partially to blame & the understanding of life & our connection to the afterlife as well. This is a deep topic - I know I only scratch the surface but hopefully, I give you a lot to think about.So, just to help, let's define it, from Webster it is: 1. the world or the state of things as they exist, as opposed to an idealistic or notional idea of them. My son - his energy- exists. OR2. the state or quality of having existence or substance.  I will make the same argument as above. Hmmm…right??? So,  find your reality & embrace it. You are not alone. Unfortunately, many of us share this reality - & we understand. Life is all about shifts. Some we make. Some happen to us. Some are welcome, others are our worst nightmare- but what we make of these shifts will define our reality. Sending love always. For fun Wikis definition of Synchronicity. Afterlife by John EdwardsSigns: The Secret Language of the Universe by Laura Lynn JacksonA blog post that's an interesting perspective - My Only Child Died, but I Will Always be his MotherMy first two books (in the Survival series of Life After Suicide Loss) are out. Let me help you survive so that you may find Hope and eventually even start to heal. A Survival Guide; Facing Life After Suicide LossAND The Story of Your Survival; A Guided Journal to Navigate These Dark, Stormy Days_____________________________________________ My brand NEW website "The Leftover Pieces; Rebuilding You" is LIVE and that means my 2 x/mo FREE SUPPORT GROUP is available and much more will be coming in the months ahead leading into 2022The website will be at www.theleftoverpieces.com  (naturally, right?)If you, or someone you know, is struggling  with suicidal thoughts PLEASE reach out:The National Suicide Lifeline is there for youIN a crisis you can also TEXT--->TEXT the word "HOME" to 741741 in the USAin Canada TEXT 686868in the UK TEXT 85258And Grievers, I am always here. You can find me   at The Leftover Pieces