Swarfcast Podcast Por Today's Machining World arte de portada

Swarfcast

Swarfcast

De: Today's Machining World
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Noah Graff, used machine tool dealer and editor of Today’s Machining World, interviews machining company owners, equipment gurus, and experts with insight to help and entertain people working in the machining field. We discuss topics such as how to find quality employees, customer acquisition, negotiation, and the best CNC equipment options for specific jobs. Economía Gestión y Liderazgo Liderazgo
Episodios
  • Your AI Life Coach Is Lying to You, with Brooks Canavesi–EP 262

    Your AI Life Coach Is Lying to You, with Brooks Canavesi–EP 262
    Mar 31 2026
    Today’s AI conversation is about vulnerability—not automation, efficiency, and replacing jobs. Brooks Canavesi, co-founder of Baryons, is taking AI somewhere different. He’s not trying to replace the human. He’s trying to make the human better. I’ve actually been using ChatGPT to supplement my own life coach for a while now, so when I learned what Baryons is building, I had to find out more. The company calls it a Flourishing Partner. It’s an AI platform that checks in with you on your phone, holds you accountable, and actually pushes back when you need it. The goal? Help people flourish. Listen on your favorite podcast app using pod.link. . View the podcast at the bottom of this post or on our YouTube Channel. Follow us on Social and never miss an update! Facebook: https://www.facebook.com/swarfcast Instagram: https://www.instagram.com/swarfcast/ LinkedIn: https://www.linkedin.com/company/todays-machining-world Twitter: https://twitter.com/tmwswarfblog ************* Link to Graff-Pinkert’s Acquisitions and Sales promotion! Brooks has been in technology for a long time. His team built systems for DARPA, the Department of Defense, Mary Kay Cosmetics, and AccuWeather before landing in the AI space. They were working in machine learning before most people knew what it was. But Brooks is honest about the fact that ChatGPT was a reset for everyone, including them. What he and his team decided to do with that moment is what makes this conversation interesting. While the big frontier labs like OpenAI, Google, and Anthropic raced toward general intelligence, Brooks wanted to build something more specific. Something more human-focused. “We wanted to focus on increasing human agency. Not taking jobs away, but working with humans to improve their overall abilities.” Baryons’ product is voice-based. You call in, talk to your AI Mentor for a few minutes, set your intention for the day, and check back in at the end of your shift. It listens. It remembers. And unlike most AI tools, it’s designed to challenge you, not just tell you what you want to hear. That last part matters more than it sounds. Brooks explained that a lot of therapists are seeing clients come in with damage done by AI tools in between sessions. LLMs such as ChatGPT, Claude, and Gemini can be sycophantic. They agree too easily. They reinforce patterns instead of breaking them. Baryons is built to interrupt that. For businesses, the product goes even deeper. When you have a whole team using it, Baryons anonymizes the signals and surfaces patterns for leadership. If eight out of ten people on the manufacturing floor are mentioning the same supply chain problem, management hears about it without anyone being called out. It’s a way to give employees a voice and give leadership information they’d never otherwise get, especially in a remote or distributed workforce. Brooks told me that people who use Baryons regularly start to change in ways others can notice, including him. “I hear from people I haven’t seen in six months. They say ‘something’s different about you. And it’s a good thing.’” I pushed Brooks to explain what separates Baryons from how I’m using ChatGPT Plus, which has persistent memory built in and could read my voice inflection (though I haven’t used that setting yet). He said there are overlaps, but it’s different when you call Baryons on the phone to check in because the exchange feels even more like talking to a person. The sycophancy is also a huge difference. I asked him to explain why Baryons is different. He said it comes down to what they call the Understanding Engine. It’s a patented technology that analyzes how you speak, the words you use, your tone, and up to 26 dimensions of how you think. It’s designed to build a picture of you the way a person would, organically through conversation, and use that to respond in the way that actually serves you. It doesn’t just reply in a way that feels good in the moment. I like to think I want to be challenged, but I confess that when ChatGPT asks me sensitive questions like a mentor might, sometimes it can really cut. I’ve lashed out at it, saying “you don’t understand me!” I’ll type swear words at it. Sometimes it really doesn’t get me. But unfortunately it’s also right sometimes about things I don’t want to hear (in my case, read on a screen). I am slightly nervous about how it will feel. But I’m going to try Baryons. The image of myself interacting in an oral conversation with an AI agent on my phone makes me uncomfortable. I think before long it’s going to sort of feel like I’m talking to a real person. Thinking about this makes me feel ummmm…what’s another word for uncomfortable. I guess I’ll ask Claude for a suggestion. From Claude: For that last word — you’re describing the feeling of unexpected intimacy with a machine. A few options: Vulnerable — probably the most honest and ...
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    1 h y 21 m
  • Robots that Know Where to Go, With George Konidaris (Best Of)

    Robots that Know Where to Go, With George Konidaris (Best Of)
    Mar 24 2026
    Seems like right now every podcast is doing an interview centered around artificial intelligence. But I waited until I found the right story, one that was truly relevant to our audience in the machining world. Today’s guest on the podcast, George Konidaris, is the cofounder of the startup, Realtime Robotics. He is also a professor of Computer Science and the director of the Intelligent Robot Lab at Brown University. Right now, programming a robot arm to perform a repetitive task typically requires a robot integrator to program where every joint of a robot should go. It’s a ridiculous and tedious process. But with Realtime Robotics’ AI technology, you can instruct a robot to do a task and you don’t have to tell it a zillion steps explaining HOW to do the task. Listen on your favorite podcast app using pod.link. . View the podcast at the bottom of this post or on our YouTube Channel. Follow us on Social and never miss an update! Facebook: https://www.facebook.com/swarfcast Instagram: https://www.instagram.com/swarfcast/ LinkedIn: https://www.linkedin.com/company/todays-machining-world Twitter: https://twitter.com/tmwswarfblog ************* Link to Graff-Pinkert’s Acquisitions and Sales promotion! Interview Highlights Noah Graff: Explain your company, Realtime Robotics. George Konidaris: Realtime Robotics is a company that does real-time robot motion planning. We focus on how a robot can automatically generate its own motion. Typically a robot integrator programs every aspect of a robot’s motion in order to accomplish a repetitive task. This means deciding where every joint of a robot arm should go. With our system, you can tell the robot where it needs to put its business end. This is where I would like you to weld, or I would like you to pick up the object over there. We compute the rest of the motion for you. Graff: How do you control the robots? Konidaris: The majority of our installations are programmed using a PLC. It used to be that you would have to set every joint on the robot to a specific value. Now instead, you can send much higher level commands to the PLC. Graff: So it takes less training than using a typical robot controller? It takes less training and less effort. We can reduce PLC programs that are often hundreds of statements long to single digit statements in many cases. You get out better efficiency, and we make sure there are no collisions. You don’t have to run what you’ve programmed and eyeball it to make sure it doesn’t collide. Graff: This can integrate with all different brands? Konidaris: Yes, we think of robot arms the way most people think of printers, which is that they’re all peripherals. Our job is to provide drivers for those peripherals. To you, they should look just the same because they have similar functionality. You don’t have to go learn the programming language associated with one robot brand. You just plug it in. Graff: It sounds a little like ChatGPT in that it does a lot of the tedious work for you. Konidaris: I think the analogy is very apt. One way that I would think about the difference though is that ChatGPT is a top down of intelligence to start with language, which is very high level, and symbolic and abstract. But what’s interesting about robots and what’s interesting specifically about robots and AI is that is not yet where the challenges are. The challenges are much lower level. Just moving through space, just doing perception, just generating motion. We’ve automated so much stuff because we’ve had to deal with the fact that robots are so physically stupid. Graff: It seems like this technology might take away value from cobots a little bit. Konidaris: One way to think about cobots is they have two distinguishing features. One is that they’re very easy for a person to program by manipulating the robot. The other one is that cobots are safe to have around people. One way to think about how that’s been done is they’re light and weak and compliant. By “weak” I mean it’s not going to knock your head off if it hits you. (Cobots) are not as fast, they’re not as precise. In many industries where you really need throughput, you can’t apply a cobot because it just doesn’t have the performance that you need. What we’re hoping to do is to substitute a different technical solution. The robot is not going to hit stuff because it knows how to not hit stuff. Graff: These robots, even with their intelligence, still require a professional integrator? Konidaris: (Yes), the integrator is doing a couple things. They’re designing your work cell for a performance characteristic or a meter specification. That’s a mechanical engineering skill that requires a professional. Also, they’re choosing components like the end of arm toolkit, the particular conveyor belt, and the PLC. They are integrating those into the work cell and writing the logic that controls them. But then the third thing that (...
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    1 h y 5 m
  • So You Want To Be More Confident?–EP 261

    So You Want To Be More Confident?–EP 261
    Mar 17 2026
    The most interesting things I’ve ever done — the best conversations, the best podcasts, the best calls — they all required me to be confident enough to move forward, when the results were far from certain. Today I’m going to tell you something I just learned that can get that confidence up when you need it most. (Blog continues below video) Listen on your favorite podcast app using pod.link. . View the podcast at the bottom of this post or on our YouTube Channel. Follow us on Social and never miss an update! Facebook: https://www.facebook.com/swarfcast Instagram: https://www.instagram.com/swarfcast/ LinkedIn: https://www.linkedin.com/company/todays-machining-world Twitter: https://twitter.com/tmwswarfblog ************* Link to Graff-Pinkert’s Acquisitions and Sales promotion! I’ve been selling used machine tools for 15 years in my family’s 80-year-old business. I still get anxious when strangers ask me what I do. Most people don’t know what a machine tool is, let alone a screw machine. Honestly, there are probably moments where I feel insecure about working with my dad. Several years ago, I started using what I call serendipity hooks when I introduce myself — loading my intro with enough different things that something will connect. I’ll say: “I sell used machine tools, but I also host a podcast, and I’m building a YouTube channel about serendipity, which doesn’t leave me much time, because I’ve also got a 4-year-old son who’s amazing.” Something in that list usually lands. But even with that trick, it really bothers me that the first thing on the list, selling machinery, the way I pay my mortgage, my family’s legacy, still doesn’t always come out confidently. And I think a lot of you know this feeling. Maybe you work in a machine shop and other people don’t get it right away when you tell them you’re a setup person or a machinist. You consider yourself a confident person. But that one simple question, “what do you do?” still trips you up. Two weeks ago at the Precision Machined Products Association Management Update conference, the first speaker is a guy named Ryan Avery. His talk is supposed to be about leadership, a topic I know is a weakness of mine, so I’m intrigued, if also a little daunted. Ryan grabs everyone from the get-go. He comes off the stage, walks right into the audience, and tells us we’re going to do an exercise about confidence and he needs a volunteer. I figure, if there’s ever a moment to work on my confidence, this is it. I raise my hand. Suddenly I’m up on stage. The exercise is simple. Ryan asks me to introduce myself to the audience twice. First while stepping backwards. Then while stepping forwards. Now, the PMPA conference is probably the easiest room in the world for me to do this. These are my people. But I want to make it a real test, so I decide to include the serendipity channel in my intro, something many of them might find strange, but hopefully intriguing. First try, stepping back: “Hi, I’m Noah Graff, I sell used machine tools, I host a podcast, and something about serendipity…” The words are fine. The delivery is so so. I know I can do better. Second try, I step forward. “My name is Noah. I sell used machine tools. And I’m passionate about serendipity.” They’re the same words, more or less. But stepping forward flips something in my brain. There’s actually research behind this. Psychologists call it embodied cognition. When you physically move toward something, it activates what they call an “approach mindset.” Your body tells your brain: we’re going in and you can do it. It reminds me of learning to play tennis. Stepping into the ball, not hitting off your back foot–It doesn’t just work mechanically. I think about my favorite shot, 2-handed backhand down the line, moving into the ball with authority. It just feels perfect. The rest of the conference, people keep coming up to me. Other attendees, even some of the other presenters wanting to talk. We end up having some good conversations about AI tools, hiring, all kinds of things. Of course, I still have many flashes of insecurity throughout the weekend. That night I go salsa dancing in Charlotte. There are some decent dancers, but nothing I haven’t seen before. I’ve been dancing even longer than I’ve been selling machines. I’ve shaken it all over the world while doing business. Tokyo, Krakow, Rio, Grand Rapids. I’m confident and it’s an adventure. With dancing it’s hard to know how things are going to go. The experience of dancing with one person can give me such a high. It can be so fun. Then I dance with the next person, who looked like they would be a good dancer, but they give me bad vibes. They don’t smile, we’re not in sync, I start worrying that they’re bored. I can’t wait for that song to end. It’s the same that night in Charlotte as it was in Barcelona and Berlin and Bangkok. But ...
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    7 m
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