Podcasts about 3d print

Something big is happening in scale modeling, and you can feel it in the way builders talk about 3D printing, new subjects, and the shows that are turning into true hobby meetups. We sit down with Brandon Lowe from Squadron to get a grounded look at what it takes to turn a cool idea into a real 3D printed model kit you can buy, build, paint, and display with pride. We talk through two attention-grabbing releases: the 1/48 M2 Cletrac tractor built for airfield scenes, and the 1/35 M5 high-speed tractor that gives armor builders a fresh support vehicle that isn't another “usual suspect.” Brandon shares how Squadron uses early feedback to improve everything from production choices to what future releases should look like, and why IPMS Nationals is the moment where the wider community gets to judge the results. If you care about 3D printed aftermarket accessories, naval ordnance details, or how digital design can finally fill long-ignored gaps, you'll get plenty to chew on here. Then we pivot to what might be the biggest news for model show travelers: Eagle Quest is coming back in Chattanooga as a joint event with the Chattanooga Scale Modelers' ModelCon, and the demand is already intense with vendor tables selling out far in advance. We cover why Chattanooga is such a strong location, how the gold, silver, bronze judging system will be used, and why expanded contest categories like real space vehicles, trains, wargaming, and Gunpla could pull in builders who don't always feel at home at traditional shows. ModelCon/EagleQuestSubscribe for more conversations like this, share the episode with a modeling friend who needs a new project idea, and leave a review to help more builders find the show. What category or subject would you love to see get more attention next?Give us your Feedback!Rate the Show!Support the Show!PatreonBuy Me a BeerPaypalBump Riffs Graciously Provided by Ed BarothAd Reads Generously Provided by Bob "The Voice of Bob" BairMike and Kentucky Dave thank each and everyone of you for participating on this journey with us.  

Piyush Jain, Founder and CEO of Simpalm and co-founder of Ducknowl, is on a mission to solve real-world challenges by combining technology and entrepreneurship. With over 15 years of experience building custom software solutions, Piyush helps businesses turn complex ideas into practical applications by blending technical depth, business acumen, and a strong problem-solving mindset. We explore Piyush's AI Ideation Framework—Validate idea, Proof of concept, Design, Competitor analysis, and Feature selection—a practical approach to building software in the post-AI era. Piyush explains how AI can help teams better understand user personas, validate product assumptions, and rapidly prototype ideas, while human expertise remains essential in design, architecture, and production-grade development. He also shares how prompt engineering, peer-reviewed prompting, and a right-shoring delivery model can help businesses build smarter, faster, and more cost-effectively. — 3D Print Your Software with Piyush Jain Good day, dear listeners. Steve Preda here with the Management Blueprint, and my guest today is Piyush Jain, the Founder and CEO of Simpalm, a custom software development company, and the co-founder of Ducknowl, a candidate screening and assessment application business for high-volume recruiting. Piyush, welcome to the show.  Thank you, Steve. Thanks for inviting me.  Well, I’m very curious about the stuff that you have to share with us, and I’d like to ask first about your personal purpose. What is your “why,” and how are you manifesting it in your business?  Yeah, so that’s a very interesting question. And I think for every entrepreneur or tech founder, really, that's the motivation—why you want to do certain things. So for me, if I look at it, my personal “why” is: why are we not solving challenges? Or why are we not solving them the right way? Why are we not transforming our lives? I grew up in India and then came to the US, so I've seen many different parts of the world—from Asia to North America. I see people face different challenges, but then we are not focusing on solving those problems. A lot of it I see is there’s a lot of challenges in the world because I believe there are not enough entrepreneurs. Because entrepreneurs are the ones who really take risks, combine everything, and create solutions. That was like me, right? That’s what I learned growing up, that I think I can do that, right? I can combine the technical knowledge and the business acumen and create solutions that people like, solve their challenges. Growing up, like I'm more on the technical side.Share on X I was inclined more toward science and technology, but then as I got into my undergrad and grad school, I realized that I have that entrepreneurship aspect, but it's still around science and technology. That’s when I realized that, you know what, I cannot be a pure scientist or maybe a pure entrepreneur, but I can be someone who can combine these two, because my main driving factor is problem-solving. I can combine these two and then live my life, be very happy with what I do. That has been my motivation. I like it. So solving challenges and being an entrepreneur, and kind of combining the two—being the technical expert and the entrepreneur in one. Now, one of the things that we always talk about on this podcast is frameworks. And you have developed a really good one for AI ideation, which I think is something that everyone needs to do these days or use these days, and it helps you create business apps and other business applications. Can you share with me how that framework works, and what are the steps in it?  Sure, yeah, definitely. So just to give you a brief background, we've been building software for the last 15 years. Some companies have used different frameworks, whether it's Agile or Waterfall in SDLC, in building the software, right? There are different methodology that companies have used, and they've been good, successful—they've played their role. But now, with the advent of AI, things have changed. We had to figure out, in our organization, how to use AI, and that's how this framework was built. My team helped me building this framework as well.Share on X But we realized that we were losing business—we were losing clients—since we didn't have an AI framework that would fit our clients. Again, for me, it's a challenge. So anytime I see a challenge, it create brain juice in me, right? So I said, okay, let's figure out how we create this framework. How did you do it?  So really, we built this framework—very interesting. A lot of the steps are similar, but then a lot of things are different.Share on X Whenever client comes to us and says, “Hey, we want to solve this challenge,” what we do is we do enough research. And now we use a lot of AI tools to really understand the problem better and understand the user persona. When you build any software application, there is a person who's going to use that. Sometimes we used to do user research or focus studies to understand that. Now, with the help of AI, we can get a lot of ideas about the user persona. For example, maybe we are building a healthcare application for an anesthesiologist. I don’t know much about that. I know, I mean, because I have been through some medical surgery and all that, but I can't fully understand their user persona or their requirements with respect to the application we're building. But now, with AI, I can actually ask different AI models, “Hey, we are building this app for anesthesiologists. What are their pain points? How would they see it?” So all that deeper mindset and psychology we can get using AI.  You are validating the idea by interrogating AI applications.  What users are going to like and all that. So I will always use this term earlier. In software engineering, now we have this pre-AI and post-AI, right? If you read history, we talk about before Christ and after Christ, right? Yeah. So it's a similar thing now. Yeah, exactly. Or before Covid, after Covid. Before AI, after we did all the user research and everything and created a requirements document, we would usually do design, create like a visual design of the software. But now, with the AI framework, we don't do that. That's not the next step. What we do instead is create a quick prototype using AI platforms.Share on X  So there are a lot of AI platforms—like Lovable, Claude. Now ChatGPT launched Codex for coding, and Replit. Depending on what kind of application you're building—for example, maybe if you're building a web-based application—then I recommend using Lovable or Replit. They're very good at creating that. Whatever software you want to build, whatever user personas that you’re addressing, you can feed into that and it’ll create like a prototype application. Okay.  So what that does is actually, then this prototype, clients can just take it to their customers or internal users and get feedback. A picture is better than a thousand words. Organizations discussing an idea is very different from when they actually see something. Then everybody starts chipping in—“Oh yeah, I see this in the prototype, but I don't want this,” or “I want to move things around,” or “This is what I want.” Basically, building a prototype on AI platforms is much faster than building wireframes and design prototypes like we used to do earlier. So that has changed. So you're 3D printing your software, right?  Yes, exactly. There you go. Well, that’s a very good way you put it together. Yeah. So, yeah, exactly. You’re just 3D printing the software, right? So you can see it, visualize it, and then once you go through that, it creates a lot of better ideas about the software in faster time. So once you have that, then you go into UI/UX design. So in that also, there are two steps. One is wireframing. Wireframing is like creating the flow in black and white. It's like creating a skeleton of your software. It does not have the color, the font, or the branding, but you just create all the different user journeys, the screens, the flow, and the fields that will be there on the screen. So we have integrated AI into that step as well. Earlier, it used to be created by a designer or a business analyst. Now we are using software like Uizard or UX Pilot, where we define what we want—what kind of user journey, flows, and screens—and it creates that. It spins out those wireframes in minutes. So really that has reduced now. The time it used to take to create wire frames is faster now.  So you're designing the wireframes with AI?  Yes, but it's just the wireframe part of it, and it's still guided by our expert VA or designer—someone who knows how to really visualize things and has done a lot of wireframes and sketches. So they know what to tell the AI. Prompting is very important. It's very important that you know how to prompt—what to ask for—so that you can get variations and differentiation in the wireframes. You don't want a standard AI-created wireframe. Everybody can recognize AI-generated images now, right? If I show you one, you'd say, “Oh yeah, it's AI-generated.” I know that, right? Yeah. So again, we keep the human intelligence. We're not asking AI to create the full software end-to-end. It never works—it'll never work. It just doesn't. I know that's a strong statement, but I'm saying that based on experience and an understanding of human behavior and psychology. So AI agents will not be able to code software, in your opinion?  No, they can do the coding, but they cannot build the whole software end-to-end—a production-deployed software. Because these software are being used by humans. You have to have human intelligence to understand and define what you need and how it works.Share on X You can maybe create some software, but it doesn't work very well. Even if you use all these platforms, you can cut down your production time and cost by 30%, 40%, 50%, right? That's the number we are seeing—30 to 50% reduction, depending on the software you're building and the objectives. So just to recap—you validate the idea by interrogating Claude and ChatGPT, asking about the needs of that customer, the psychology of the customer—that's step number one. Step number two is 3D printing the software with Lovable or Replit—so proof of concept. And then you design the wireframes. And then what's next after you design the wireframes? What's the next step?  So that’s a good thing. That’s it. Now I'm going to talk about the human element—some people listening to this podcast will be surprised. Now it comes to visual design, right? So you've created the skeleton, and now you have to add the skin, the tone, the color, the emotion to the design, to the workflow. Now, we have tried AI, but it doesn't work. It's very monotonous. So we use an experienced visual designer, a UX designer, for that step—to give it emotion. When you use AI—I wish I could show you some examples—it creates very similar kinds of designs for apps and software. So what we did is we gave it three different apps with very different objectives and everything, and the designs it came up with were very similar—blocks, buttons—very monotonous. So there's no differentiation. And design is the main thing that becomes the differentiator, right?  Yeah.  So that's what we learned from our experience. And I say that very categorically in all of my talks—that visual design, final UX, has to be human, not AI.Share on X Because you are communicating emotions, right? And AI is still not there to communicate emotions.  Yeah. It doesn’t have emotions.  Well, some people will argue with you and say, “No, it can understand if you're sad or unhappy.” But my response to that is—it's because we've programmed it that way. But things change based on situation, context, ethnicity, culture, fear—how people express nervousness, fear, and all that—it's very different. So there was this AI video interviewing company five or six years ago. They were sued by the Department of Justice because they were trying to detect emotions of people like anxious, nervous, when the interview was happening.  It turned out their model was trained only on one race—they didn't account for other races or ethnicities. So their model failed, and they were sued by Department of Justice for that. So yeah, emotions is something—maybe they have unlimited dimensions, we don't know. So it's hard to program that. So basically: ideation, prototype, wireframe, and then final visual design—that's the discovery and design framework. Now, when it comes to development framework, this is where AI has been a game changer—the coding part. But again, you have to be very careful about how you use AI in your coding pattern with your coding team. It depends on the application, it depends on the tech stack, right? Every platform has its own strengths and weaknesses. For example, if you want to build a web-based application in the React JS framework, then Lovable is great. That's very good—very efficient and cost-effective. Then Claude is there. Claude has been really good in software engineering. I would say it has been built and designed mostly for coding, right? Anthropic—their idea, their starting point—was coding, how to make coding and software engineering better.  So they've been a front runner in the race. ChatGPT is trying to catch up using Codex, and Copilot is great. Copilot is mostly used by enterprises who are on the Microsoft stack. They use Copilot a lot for coding in .NET and enterprise-level applications. They’re used to co-pilot. It’s because they feel comfortable with Microsoft security policies and all that. That’s fine. But in general, we see Claude to be at the top—from our perspective. We've also built a framework for software coding. In software development, there's a popular process called peer review. So when you create source code, you get it reviewed by your peer—your colleague.Share on X  Is this what happens on GitHub?  Yeah, yes. So basically anywhere—any source code repository—you can do that. So your team members can help you make your code better and more efficient.  Yeah, I understand. But now we have a step called prompt peer review. When you're using prompts to build software, those prompts get reviewed by team members. Because if your prompts are not very specific or good enough all the way through the SDLC, you can run into a lot of challenges trying to fix the code. Because now you have a situation where you have code that you have not written fully, and when you ask AI to change something in the code, sometimes it ends up changing a lot of things that you don't want it to change. Yeah.  That's what we've seen, and that's why we evolved. Before we build any software, we create maybe a 10-, 20-, 30-page prompt document, where we go through each screen and function and write it out. It's very sophisticated—it has evolved really well. But the thing is, it takes a few days to do that within the team, because we know if we do it right, the next step is faster and more accurate. So really, the prompt document—think of it more like an architecture document. Earlier, we used to create a solution architecture document, defining all the tools, the design, everything.  But now it's more like an AI-driven solution architecture document with prompts, which get reviewed by team members. So we do that, and then we run that, and we get the code and everything. So I have a CTO club—I run a CTO Club in Maryland—and I was talking to CTOs. They're all using this, but some of them are so advanced that they actually define the test cases in the beginning. They define, “Okay, this is what I want, this is the function I want, and these are the test cases I want it to pass.” That's even more advanced. If you can do that, you can have very efficient code.  Yeah, I love it.  So is that the end? You have your test cases, you design the prompt, you peer-review the prompt, and you already had the prototype, so now you're coding the software—what's the last step?  Yeah. Then there’s an integration as well. So AI doesn’t do the integration so well. You can do the front-end coding, you can do the back-end coding, you can probably create the APIs. APIs require a lot more human intervention. But once you have that, then you have to connect it, right? You have to connect the front end with the backend. A lot of that is still done by the programmer. It's hard to rely on AI for doing that. And again, it depends on the application. Maybe if it's a smaller application, maybe you can have AI do that. But if it's a bigger application—we mostly build bigger applications—then integration, then final QA and testing, and deployment.  So all that is there. But in each of these steps, you can use some sort of AI tool to speed up the process. But the key is you still have to have your architecture, the process. You have to know the steps more. You have to be a good, experienced developer to use AI efficiently if you want to build a production-ready application. You can build a prototype. Anybody can build a prototype on Replit or Lovable, but it's not going to be production-ready that you can give to your customer and charge them money. So that’s the differentiator.  Yeah, I understand. So Piyush, I’d like to switch gears here. I understand the AI ideation framework—that's great. We talked about the technical part of it, the curiosity, the technical challenges. Let’s talk about the entrepreneurship part, which is also part of your profile. So what drives the growth of your business? What would you say drives it?  For us, there are multiple factors that drive the growth of our business. The first is, again, our problem-solving attitude. Any client that comes to us we communicate in that modelShare on X The problem, the challenge, the solution, the business part, the value proposition we bring. And the second factor is our location. We are here in Maryland, and we have another office in Chicago. So being here, we have a global shoring model—that's a main driving factor of our business from the entrepreneurship perspective. So what the global shoring model is: our client-facing team, the senior team, is here—solution architects, sales engineers, designers, project managers, business analysts—they are here in the US, client-facing. And our dev team and testers are in our offshore locations.  Some people call it hybrid shoring. I call it right shoring. The reason I call it right shoring is because in this model, you have the right people at the right shore, so you get the most value. Here, you have people who understand the culture, the product, the context—because products are used by people in a certain culture. And if you are not in that culture, if you haven't experienced it, it's always harder to design the right software solution. I was one of the first people to start that model here in the DMV area for mid-size and smaller companies. This model existed before, but mostly for large enterprise companies. They have used that. But I started to offer that 16 years ago to smaller companies. Either companies were just going offshore, or they were doing onshore, right? I introduced this hybrid—or right-shoring—model, and it has been well received by our customers. So that’s it.  So what is one thing that you’re trying to figure out in your business right now?  Right now, what I'm trying to figure out in my business is scaling. I mean, we have built solutions for many different industries. We have built solutions for different clients in fintech, healthcare, education, nonprofit, startups, IoT, construction. But now what we are trying to figure out is how do we create some off-the-shelf solutions for different industries? Because one challenge we see is that, from the client's perspective, getting custom software built takes time and money. But in certain use cases, we can have off-the-shelf, industry-specific solutions, and then customize those based on the client's needs.  So that's what we are trying to figure out—across different industries, what those solutions can be—so we can scale and also make it easier. And these are more like AI-driven, off-the-shelf solutions that are customizable. So think of it like Salesforce—its core is off-the-shelf, but then you can customize the front end and a lot of other things. Not exactly like Salesforce, but more like industry-specific solutions for different use cases—nonprofit, construction, right? With those, overall, we can build solutions faster.  That’s fascinating. So how has the offshoring—or right shoring, as you call it—model evolved over the past 10 years? Is it different now than it was 10 or 20 years ago?  Yeah, I think that's a great question. It has evolved and changed. Earlier—maybe 10, 12 years ago—when we were talking about hybrid shoring, we were mostly talking about the US and Asia. But now we have different players. We have the nearshore model, which has become quite popular as well—like South America. We have team members in nearshore locations as well, in South America, because we want to leverage different time zones, resources, and culture. And we've seen very positive results. Then you have Eastern Europe. We have competition from countries like Ukraine, Belarus, Romania, Poland. I think it’s the part of the globalized world, right? It's like energy flowing in different spaces—it's not limited to one place, which is great. That's one way it has evolved.  I also know some companies working in Kenya—there are developers there. Some companies are setting up in East Africa, West Africa. So different places are playing roles now. That’s one thing I see. And now, with the help of AI, what's going to happen is it will play two roles. One— in many situations, with AI, you can do more things onshore. That’s one aspect of it. And second—with AI, someone sitting offshore who knows how to use AI can become very competitive as well. We don't have enough data yet to fully see how this will evolve, but maybe in a year or so, we'll see how it plays out.  But I also find that with these simultaneous translation tools—like Apple, I think an iPhone can now translate in all languages. Essentially, another barrier falls that if the language and knowledge of your offshore contractor is not perfect, they can understand things much more clearly because of simultaneous translation. Even on Zoom, you can now flip a switch and they can read what's being said in their own language during a conversation. So that's amazing, I think.  Yeah. That’s amazing. That’s amazing. They can understand more about the culture and mindset. So that's something have to see. Again, I think it depends on the use case, the application, the problem we're solving. But in some cases, it might be great news for onshore—we can keep more dollars here. But keeping dollars here with AI also means a lot of that spend is going to AI, right? So that's one thing—we have to be very careful. Yesterday, in our tech breakfast, our presentation was about how to optimize your AI tokens. There are some companies spending $150,000 per year per employee on tokens. Wow.  That's like the salary of one employee.  Yeah.  A mid-level developer—$150K—they're spending that much. And then they’re trying to figure out how to optimize it. And on top of that, they have cloud costs, right? AWS, Azure—those costs are still there—and then you add AI. So it's a lot of money. You really have to be very smart about understanding and optimizing it. That’s why the prompting is so important, right? It's not just about getting the right software—it's also about getting the cost down.  Yeah. Again, you need expert people who can prompt well, because it's about being able to communicate well. Prompting is about communication—it's about clarity, brevity, security, all that stuff. So, Piyush, we're coming close to the end of the recording. If someone would like to learn more about the applications you develop, how you're using AI, and how you can help their business develop technology, where can they find you? What's the best way to get in touch with you? Sure, there are many ways people can reach out to me. They can go to my website, www.simpalm.com—we have a contact form there. They can submit the form, or they can reach out to me via email directly at contact@simpalm.com. They can also connect with me on LinkedIn. I'm on LinkedIn—message me there if somebody needs anything. I always like discussing problems and what the solutions can be. If anybody reaches out to me, I'm always very quick to respond.  That's awesome. So Piyush Jain, the CEO of Simpalm—and we didn't even talk about your other business, Ducknowl—thank you for coming, and thank you for sharing your insights and your framework on how to build an ideation framework for AI. So thanks for sharing that. And if you're listening and you enjoyed this conversation, then stay tuned, because every week we have another entrepreneur sharing their insights and frameworks with you. So make sure you follow us on YouTube, subscribe, and give us a review on Apple Podcasts. So thanks for coming. Thank you, Steve. It was a pleasure talking to you. Important Links: Piyush's LinkedIn Piyush's website

Hallo und willkommen zu einer neuen Episode des **Drachentöter-Podcasts**.

-Tech Corps volunteers will be placed in Peace Corps countries that are part of the American AI Exports Program, which was created last year from an executive order from President Trump as a way to bolster the US' grip on the AI market abroad. -Colorado's proposed law would "prohibit the use of a three-dimensional printer, or similar technology, to make a firearm or a firearm component." -A recent Amazon Web Services outage that lasted 13 hours was reportedly caused by one of its own AI tools, according to reporting by Financial Times. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, we are joined by Michael Laws of Teaching Tech. Brought to you by Sovol. Get $10-20 OFF on Sovol 3D Printers: https://jle.vi/sovol (use code NEXTLAYER)Michael Laws, the creator behind Teaching Tech, returns to The Infill Podcast for a powerful and reflective conversation about his decision to step away from full-time YouTube after 8 years and return to being a full-time school teacher.As a former Industrial Designer and experienced STEM educator, Michael built Teaching Tech into one of the most trusted resources in the 3D printing and maker community. From detailed 3D printer calibration guides and slicer tuning tutorials, to upgrades, firmware configuration, linear advance calibration, flow rate tuning, and troubleshooting common print failures — his work has helped thousands of makers improve their print quality and understand the “why” behind their machines.

That's the good news. The bad news is everything else we have to tell you about RAM.Starring Tom Merritt, Sarah Lane, and Andy Beach.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

Show Notes 2/13/2026AI model from Google's DeepMind reads recipe for life in DNA Source: BBC Link: https://www.bbc.com/news/articles/c39428dv18yoCarbon Robotics Launches the World's First-Ever Large Plant ModelSource: BusinessWire.com Link: https://www.businesswire.com/news/home/20260202630325/en/Carbon-Robotics-Launches-the-Worlds-First-Ever-Large-Plant-ModelYour future home might be framed with printed plasticSource: MIT News Link: https://news.mit.edu/2026/your-future-home-might-be-framed-with-printed-plastic-0203A new scan lets scientists see inside the human body in 3D color Source: ScienceDaily.comLink: https://www.sciencedaily.com/releases/2026/02/260204121550.htm3D-printed passive cooling system cools data centers without fans or pumps Source: Interesting EngineeringLink: https://interestingengineering.com/ai-robotics/3d-printed-passive-cooling-data-centersHow we're helping preserve the genetic information of endangered species with AI Source: Google's The Keyword BlogLink: https://blog.google/innovation-and-ai/technology/ai/ai-to-preserve-endangered-species/The Navy's Batwing Fighter Jet Promises Mach 4 Speed… But It's Still Just a ConceptSource: YD Design Link: https://www.yankodesign.com/2026/02/06/the-navys-batwing-fighter-jet-promises-mach-4-speed-but-its-still-just-a-concept/New study of chemical reactions in space 'could impact the [theories of the] origin of life in ways we hadn't thought of'Source: LiveScience.com Link: https://www.livescience.com/chemistry/complex-building-blocks-of-life-can-form-on-space-dust-offering-new-clues-to-the-origins-of-life

In this episode, we are joined by Radek of RH3D. Brought to you by Sovol. Get $10-20 OFF on Sovol 3D Printers: https://jle.vi/sovol (use code NEXTLAYER)Radek is the engineer, architect, woodworker, and maker behind RH3D, a project best known in the 3D printing community for breathing new life into aging Ender 3 printers. His most recognized work, E3NG, reuses approximately 68–78% of an Ender 3 to build a fundamentally new, more capable 3D printer—challenging the idea that old machines should simply be replaced.Born in the Czech Republic and raised in a family of mechanical engineers, Radek was immersed in problem-solving and hands-on creation from an early age. His path took him through architecture school, years running a woodworking business, and eventually back to architecture—while continuing to design and develop advanced 3D printer projects part-time under the RH3D name.Whether you're an Ender 3 owner, a maker who loves modding and rebuilding machines, or someone interested in sustainable approaches to 3D printing hardware, this episode is packed with insight, inspiration, and real-world engineering experience.

Vært Henrik Heide Bjørn Godske Medvirkende Maj Høysholdt, projektleder, DAO Stefan Sommer, professor ved Datalogisk institut under Københavns Universitet og stifter af Component AI Frederik Fabricius-Bjerre, AI ingeniør I denne uges Transformator Vi har talt om sprogmodeller, om at prompte og i det hele taget om alt det, AI bringer ind i videnarbejderes arbejdsliv. Men vi har endnu ikke hørt meget om, hvordan AI vil påvirke vores arbejde i den fysiske verden, i produktion og design. Men lige netop den indflyelse, AI kan have på optimering og udvikling af produktion er det hotteste lige nu. Jeff Bezos er allerede i fuld gang. Vi besøger en professor, der har startet et firma herhjemme, hvor han hjælper andre med at lægge et AI lag ind over produktionen. Nu kan designerne gøre alt på samme tid og få maskinerne til at være langt mere præcise. Og så skal vi lige forbi den robot, der har overtaget sorteringen af alle vores breve.

In this episode, we are joined by Yuto Horiuchi. Brought to you by Sovol (https://jle.vi/sovol) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).

In this episode, we are joined by Alessio Pagliai and Stepan Drunks. Brought to you by Sovol (https://jle.vi/sovol) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).

In this episode, we are joined by Justin of Pisces Printing. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).

In this episode, we are joined by Martina Bartoňová and Karel Kunz. Brought to you by Sovol (https://jle.vi/sovol) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).

In this episode, we are joined by Edward Borg. Brought to you by Sovol (https://jle.vi/sovol) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).

Saltgator Injection Molding, Purge Calibration, Halloween Ideas

In this episode of the Additive Snack Podcast, host Fabian Alefeld delves into the intersection of journalism and additive manufacturing (AM) with Matt Kremenetsky, an analyst from 3Dprint.com. They discuss various aspects of AM, from its breakthroughs and challenges to its role in broader manufacturing ecosystems and supply chains. The conversation covers significant topics including the impact of recent policy shifts, next-wave applications, and changes in the media landscape relating to AM. Matt shares insights on the evolving nature of workforce development and its importance in the manufacturing sector, as well as the future potential for strategic R&D partnerships and investment incentives. Listeners gain an in-depth understanding of emerging market applications in defense, data centers, satellite technology, and power grids, highlighting the importance of thermal management as a unique benefit AM can offer. This episode provides a comprehensive overview of current trends and future outlooks in the AM industry. 00:25 Meet Matt Kremenetsky: Analyst for 3DPrint.com00:52 Diving into Additive Manufacturing Journalism02:15 Matt's Journey into AM03:55 The Evolution of AM06:54 Challenges and Opportunities in Additive Media10:44 The Role of Additive in Modern Manufacturing17:26 Workforce Development and Policy in Additive29:54 Respect for Manufacturing in Germany and Japan30:44 The Rise of Trade Careers in the US31:37 Gen Z's Work Ethic and Technology's Impact34:34 AI's Threat to Entry-Level Jobs35:42 Policies Supporting Manufacturing Investments41:42 Strategic R&D Partnerships and Tax Implications46:23 Future Applications of AM

To plate or not to plate, Another Ikea lamp fix, Reliable Supports

In this episode, we are joined by Joel Finn. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).Joel Finn is the Community Manager at Polymaker, a leading manufacturer of high-quality 3D printing filament trusted by makers and professionals around the world. What began as a simple hobby seven years ago turned into a life-changing passion that led Joel from retail management to a career at one of the most respected brands in the 3D printing industry.In this conversation, Joel shares how Polymaker drives material innovation, supports creators, and helps shape the future of 3D printing through accessibility and collaboration. From filament science to community growth, Joel gives us a behind-the-scenes look at what makes Polymaker a trusted brand among makers and engineers worldwide. 

Elasticity in Extrusions, Printer Speedometer, Bricklayers

In this episode, we are joined by Nadir @ CN3D. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).From tuning cars by day to upgrading 3D printers by night, Nadir brings his automotive engineering mindset into the world of 3D printing and maker culture.In this episode, we explore the fascinating intersection between precision car tuning and performance-driven 3D printing builds, highlighting how engineering principles from the garage translate seamlessly to the print bed. We also dive deep into the latest update on the Sovol SV08 7-Toolhead Build, where innovation meets meticulous craftsmanship.⏯️ My Sovol SV08 Toolchanger Build Series: https://www.youtube.com/playlist?list=PLNAIMkOXd_V9jdPlKDvLn1b1i14LN-vcyExpect insights on how automotive engineering principles inspire 3D printer mods, the challenges and breakthroughs behind the Sovol SV08 7-toolchanger build, tips for optimizing printer performance and reliability, and how makers can push the limits of open-source hardware to achieve next-level results.Whether you're into 3D printing, open-source hardware, or high-performance builds, this conversation delivers a mix of engineering insight and hands-on experience.

3D Printed Stool, Mixing PLA and PETG revisited, TPU LW with Vase Mode

In this episode, we are joined by Blayne Sapelli. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).Blayne Alan Sapelli is the Creative Marketing Manager at Snapmaker, where he focuses on bridging creativity, community, and industry in the world of 3D printing. In this interview, Blayne shares insights into Snapmaker's mission, how marketing intersects with the maker movement, and why community is at the heart of their success.We'll also dive deep into the Snapmaker U1, a groundbreaking color 3D printer currently live on Kickstarter and making waves in the 3D printing industry. With the campaign running until September 30, 2025, this is your chance to get an inside look at how Snapmaker is reshaping the possibilities of additive manufacturing.

Section Analysis in Fusion360, Autoloader Weakness, Adding Text to an STL

In this episode, we are joined by Valerian Weber. Brought to you by Sovol (https://jle.vi/sovol) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).Valerian is a 3D Designer, 3D Printing Tutorial Creator, and Consultant who seamlessly combines his engineering background, design sensibilities, and technical expertise to create refined digital and physical works. Through his tutorials, consulting, and creative projects, he inspires makers around the globe while making 3D printing more approachable and enjoyable for everyone.In this conversation, we discuss how Valerian got started in 3D design and printing, the role of engineering and design thinking in his creative process, his journey in creating tutorials that educate and empower new makers, the future of 3D printing as a tool for everyday innovation and problem-solving, and his insights into running Factorian Designs and connecting with a global audience of makers.

Designing for Vase Mode, 3D Printed Bellows, Two Design Approaches

Drybrushing highlights, Giving up on printing for hire websites, Nervous System

4 Modeling Exactness in Blender, MSimple Spool Holders, Supportless Printing=YHT, Poro-Lay

Join us as we unbox and set up the Bambu Lab X1E 3D Printer, purchased from Gigaparts! This detailed walkthrough covers everything from unboxing to printing with the X1E's advanced features, like the Automatic Material System (AMS) for up to four filament types or colors, an enclosed heated bed, and remote control via the Bambu Studio app. Follow our journey through initial setup, troubleshooting filament issues, and calibration tips to achieve perfect prints for ham radio projects and more. Check the description for links to Gigaparts and resources. Subscribe for more 3D printing adventures!Use code KC5HWB to earn double points on ALL Bambu Labs Products at Gigaparts - https://www.gigaparts.com/bambu-lab-x1e-combo-3d-printer-and-ams.htmlBecome a supporter of this podcast: https://www.spreaker.com/podcast/ham-radio-2-0--2042782/support.

Setting Filament Diameter, PLA Goo , Fuel3D Scan, Crucible

Thermocouples and thermistors, Infill by Layer height, 3DScanning on the Moon, Bridge Nylon, Spike

Guitar restoration project, Working with Meshes in Fusion360, Proportional Editing in Blender

Efficient Iteration, Raise3D Sends a Thank you., Printing for strength

eSun TPU LW, Prusa Easy Print, Additive Manufacturing class from MIT

Changing out nozzles on the XL, IS FDM different from FFF?, XL Gripes

Making Better Prints Step1,2,3. . ., FF Extruder fun, 123d Catch, Cells Bowl

Makerbot Gen5 FAIL, Essential tools, Replicator 2 Upgrades, Copper finish

Changes to the latest XLs, Foaming Filament, Foam Infill

Time for another European flavoured Hackaday Podcast this week, as Elliot Williams is joined by Jenny List, two writers sweltering in the humidity of a Central European summer. Both of our fans and air conditioners made enough noise to be picked up on the microphone when they were turned on, so we're suffering for your entertainment. The big Hackaday news stories of the week are twofold, firstly a cat-themed set of winners for the 2025 Pet Hacks contest, and then the announcement of a fresh competition: the 2025 Hackaday One Hertz Challenge. Get your once-a-second projects ready! This week gave us a nice pile of interesting hacks, including some next-level work growing and machining the crystal for a home-made Pockels cell light valve, an pcoming technique for glass 3D prints, and enough vulnerabilities to make any Nissan Leaf owner nervous. We note that mechanical 7-segment displays are an arena showing excellent hacks, and we're here for it. Meanwhile among the quick hacks a filament made of PLA with a PETG core caught Elliot's eye, while Jenny was impressed with a beautifully-made paper tape punch. Finally in the can't miss section, The latest in Dan Maloney's Mining and Refining series looks at drilling and blasting. Such an explosive piece should come last, but wait! There's more! Al Williams gives us a potted history of satellite phones, and explains why you don't carry an Iridium in your pocket.  

Layer lift bubble issue, Faint strings on the XL, Non Bambu TPU in the X1c

Mixing PLA with PETG, Printing Shoes

06-12-25 - New AI Tech Can Help Men w/Low Sperm Count To Make Babies From Few Sperm - John Learns We Can 3D Print Flesh Now And We Think Of The Porn Possibilities More Than Medical OnesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Micro LiDAR Sensor Clean, CO2 Meter Case, Plastic Electric trucks

http://www.mofpodcast.com/http://www.pbnfamily.comhttps://www.facebook.com/matteroffactspodcast/https://www.facebook.com/groups/mofpodcastgroup/https://rumble.com/user/Mofpodcastwww.youtube.com/user/philrabhttps://www.instagram.com/mofpodcasthttps://twitter.com/themofpodcasthttps://www.cypresssurvivalist.org/Support the showMerch at: https://southerngalscrafts.myshopify.com/Shop at Amazon: http://amzn.to/2ora9riPatreon: https://www.patreon.com/mofpodcastPurchase American Insurgent by Phil Rabalais: https://amzn.to/2FvSLMLShop at MantisX: http://www.mantisx.com/ref?id=173*The views and opinions of guests do not reflect the opinions of Phil Rabalais, Andrew Bobo, Nic Emricson, or the Matter of Facts Podcast*With HPA on the horizon, Phil and Nic sit down to talk about what the silencer market might look like if they become unregulated. Afterwards, our resident hoodrat has some questions for our nerdy machinist about just how 'Bubba' one could build a spicy muffler. Matter of Facts is now live-streaming our podcast on our YouTube channel, Facebook page, and Rumble. See the links above, join in the live chat, and see the faces behind the voices. Intro and Outro Music by Phil Rabalais All rights reserved, no commercial or non-commercial use without permission of creator prepper, prep, preparedness, prepared, emergency, survival, survive, self defense, 2nd amendment, 2a, gun rights, constitution, individual rights, train like you fight, firearms training, medical training, matter of facts podcast, mof podcast, reloading, handloading, ammo, ammunition, bullets, magazines, ar-15, ak-47, cz 75, cz, cz scorpion, bugout, bugout bag, get home bag, military, tactical 

F360 Quirks, Fusion Tip from listener, Non Bambu filament in the AMS

X1C update, Filament Choices for Closed Vs Open Source, End of de minimus

X1C Printing my own stuff, Reworking Fusion 360 models, Watch out for tall and thin

PCTG For crystal-like esthetic, X1C wiping , Adventures in Caving LiDAR

More Tariff talk, Making a LiDAR scanner Pt2, X1C First prints

Making a LIDAR scanner Pt 1, X1C Unbox and Setup, Tariff impacts 

Plus, the US Congress is actually the best at online resources. So sayeth Jen Briney!Starring Tom Merritt and Robb DunewoodShow notes can be found here.