『Inside Outside Innovation』のカバーアート

Inside Outside Innovation

Inside Outside Innovation

著者: Brian Ardinger Founder of Inside Outside Innovation podcast InsideOutside.io and the Inside Outside Innovation Summit
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概要

Inside Outside Innovation explores the ins and outs of innovation with raw stories, real insights, and tactical advice from the best and brightest in startups & corporate innovation. Each week we bring you the latest thinking on talent, technology, and the future of innovation. Join our community of movers, shakers, makers, founders, builders, and creators to help speed up your knowledge, skills, and network. Previous guests include thought leaders such as Brad Feld, Arlan Hamilton, Jason Calacanis, David Bland, Janice Fraser, and Diana Kander, plus insights from amazing companies including Nike, Cisco, ExxonMobil, Gatorade, Orlando Magic, GE, Samsung, and others. This podcast is available on all podcast platforms and InsideOutside.io. Sign up for the weekly innovation newsletter at http://bit.ly/ionewsletter. Follow Brian on Twitter at @ardinger or @theiopodcast or Email brian@insideoutside.io2022 マネジメント マネジメント・リーダーシップ リーダーシップ 経済学
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  • AI Judgment, Work Trends, and the Angel Investor Gap with Brian Ardinger and Robyn Bolton
    2026/02/24
    On this week's episode of Inside Outside Innovation, we talk about Anthropic's bet on philosophy, trends shaping work in 2026, and why we need more angel investors. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero’s Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonThinkers50 Recognition and the Role of Modern Management Thinkers in Innovation[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton. Robyn, welcome to the show. [00:00:43] Robyn Bolton: Thank you. Great to be here again. [00:00:45] Brian Ardinger: We are excited as always, to talk about innovation and all the things that we've learned. Anything going on in your life that you want to share?[00:00:52] Robyn Bolton: Got some exciting news actually a couple weeks ago. Don't know if folks are familiar with Thinkers 50. That is kind of like the list of the top management thinkers and they have a radar list of up-and-coming thinkers and found out that I got named to that list. [00:01:08] Brian Ardinger: Yes, that's awesome. [00:01:10] Robyn Bolton: 30 up and coming thinkers and very excited. I'm a thinker now. [00:01:15] Brian Ardinger: It's always good to be recognized and even more to be recognized as a thinker. I think, especially in today's world. [00:01:21] Robyn Bolton: Yes, yes. Thinking is good. Doing is good too. And you know, it's an organization, they always say thinking plus doing equals impact. And I'm like, yep. [00:01:30] Brian Ardinger: There we go. [00:01:30] Robyn Bolton: Gotta be doing too.[00:01:32] Brian Ardinger: Well congratulations on that. [00:01:34] Robyn Bolton: Thank you. What about you? What's new in your world? [00:01:36] Brian Ardinger: Right now, we are buried in seven inches of snow, so that was fun. The week before we were in Phoenix, so I think I picked the wrong week to go on vacation. Other than that, unburying from email and unburying from snow this week. So, it's all good. [00:01:51] Robyn Bolton: Well, at least you had a week of warm to remember what that's like. [00:01:53] Brian Ardinger: Exactly. Remember what it was like. Excellent. Well, let's get started. We've got a couple of different articles over the last few weeks. The first one we want to talk about is a YouTube video from AI News and Strategy Daily by Nate b Jones.He had a video a couple weeks ago talking about Anthropic CEO's bet on the company and his philosophy, and the data says that he's right, that he's thinking about things in a little bit different way. It really talks about the constitution that Anthropic has put together. They put together an 80-page Claude constitution outlining the principles of how they've developed Claude and thinking about it, quite frankly, in a different way than a lot of the other AI companies have been thinking about it.What they've said that they've done is really look at how do you build these AI models using core principles, rather than having to build out every single rule and what the AI has to do based on rules and more about what's the philosophy of how the AI model should think through the system so that gives it more flexibility.And basically, this idea of having a more. Flexible constitution or way of thinking versus a strict rules-based approach may actually be a, a way that is going to give Claude an edge in the future. Anthropic’s Claude Constitution, AI Judgment, and the Future of Large Language Models[00:03:05] Robyn Bolton: Yeah. This was really fascinating because it brought up a theme that we've talked about several podcasts since the start of the year, which is judgment.And we've always talked about, and we've seen it written about it, it's like, hey, judgment is what is going to continue to give humans relevance. Because we have judgment and AI is just rules based. And so, what was fascinating and terrifying was in this constitution, it's based on Aristotle's philosophy and it emphasizes that they're trying to build Claude to exercise judgment versus following rules.And I was like Uh oh, if that was the, a human moat to kind of give us relevance and we're building Claude that I use daily to exercise judgment this is going to result in some very interesting things. And so, kind of early on, obviously Claude has not progressed to being, having full wisdom and judgment. But now with this constitution, one of the things that Nate mentioned is that when you're prompting Claude, the why matters more than the what.So, the importance because of this constitution and how they're programming Claude, that when you ask for something, you're...
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    13 分
  • AI Agents, OpenClaw, and Rise of Bot Networks with Brian Ardinger and Robyn Bolton
    2026/02/10
    On this week's episode of Inside Outside Innovation, Robyn Bolton and Brian Ardinger talk about OpenClaw, how you can't work out on a limb if you can't trust the trunk, and how to hire the right people in an AI era. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Mile Zero’s, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robin BoltonAI Agents, OpenClaw, and the Rise of Autonomous Bot Networks[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have Robyn Bolton with me today. Robyn, hello, how are you? [00:00:49] Robyn Bolton: I am good. How are you, Brian? [00:00:51] Brian Ardinger: We are well recording this right before the Super Bowl this weekend. [00:00:56] Robyn Bolton: I live here in Boston, so you know who I'm betting on.[00:00:59] Brian Ardinger: Well, we will get started with the innovation side of this podcast. We've got a number of different things to discuss. If you don't start a discussion around Open Claw, you're clearly not in the innovation space. So, we thought we'd talk about a couple of articles or a couple things that we've seen that are fairly recent.One, I looked for a couple summaries that were pretty good at giving everybody who's not familiar with this an overview, and one of them is from the AI Daily Brief, which came out a couple days ago talking about Moltbot and the Agent Social Network is the craziest AI phenomenon yet.And for those who are not familiar with it, OpenClaw, which started out as ClaudeBot and then was sued, and then changed the name to Moltbot and then changed it again to OpenClaw is a new agentic platform that allows anybody to set up a MAC mini or a computer to have their own personal agent.The interesting thing about this is folks have been playing around with this and have let their agents go wild out to talk to other agents and other things and let them do things on their behalf. And what has happened is these agents have connected and communicated and created some amazing things like their own Reddit thread where they are interacting, talking with each other, not humans. They're allowing the humans to view what's going on in this social network, and it's quite fascinating to see the things that they've done and they've created. What OpenClaw Reveals About AGI, Security, and Human Trust[00:02:22] Robyn Bolton: So fascinating. You also, in the newsletter that you sent out, you included a link to a YouTube video on MoltBot. It is so worth the 20 minutes of people's time to watch because it kind of traces the whole arc up to this point, and it is so entertaining and mind blowing and bizarre.It is like, seriously, this was my entertainment last Friday night, was following the saga of cba because you have all these little, well, I imagine them as little bots all on a social network talking to each other. It's becoming, it's looking like Reddit and they're debating consciousness and they're sharing cute stories about their humans and they're trading advice with each other. And it's just, it is so wild because it looks like kind of an actually like functional, healthy version of a social network with these things that they're not real. They're code.It's just so bizarre. But I think just such a reflection of holding a mirror up to us as humans, because that's what gen AI is prediction models, it's regression analysis. And so, everything they've learned and they're doing, they've learned from us. [00:03:39] Brian Ardinger: It's quite interesting. They've started their own religion and it's just interesting to see what are the first things that they do to kind of communicate or collaborate together. And the other thing, obviously there's a lot of debate about, you know, some people are saying, well, this is AGI, they're thinking for themselves. And you know, the other side of the coin is they're just mimicking back what they've seen. And that is scary as well. And how does that play out for us as humans?And then I think the other thing about this that obviously that's getting a lot of headlines in that, but the interesting thing about it as well is like, I think it's opened people's eyes to what happens when you do have an AI buddy or an AI agent such that you can actually get real work done.I think that's always been the promise. Ask Siri to do something and it does it for you, but because of security and there other reasons, Siri does not have access to all your emails and your files and everything else, where a lot of these folks who have created these OpenClaw agents have kind of opened up their system, opening up a lot of vulnerabilities as ...
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    14 分
  • When AI Works and When It Doesn’t with Brian Ardinger and Robyn Bolton
    2026/02/03
    On this week's episode of Inside Outside Innovation, we talk about the red pixel in the snow, why MVPs should be delightful, and the robot AI deployment gap. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton. Hello, Robyn. How are you? [00:00:48] Robyn Bolton: I am great. How are you, Brian? [00:00:50] Brian Ardinger: We are surviving the cold.[00:00:52] Robyn Bolton: The sub-freezing temperatures. Yes, I know it's January, but that doesn't mean it has to be as bitterly cold as it is. [00:01:01] Brian Ardinger: Absolutely. Well, hopefully this conversation will warm people's souls and hearts. As we talk about innovation in its various forms, we'll get right into it. We've gathered a couple of different articles that resonated with us over the last couple weeks. How AI and Drones Are Transforming Search and Rescue InnovationSo, the first article we want to discuss is titled A Red Pixel In the Snow: How AI Solved the Mystery of A Missing Mountaineer. And this came from the BBC. It's very fascinating article for a couple different reasons, but the basic premise, it's a story about a missing mountaineer. This person was hiking and went missing a 66-year-old hiker and they sent out all the helicopters and that to try to find him. They were unsuccessful, but closer to the spring when some of the snow was melting, they decided to go back out and see if they could actually find the body.And they used drones and AI, as a way to map the area. And what they found was they could put all that AI pictures into the system and they were able to find a red pixel in the snow that was effectively his helmet, that they were then able to find the person and go and retrieve the body and such.What I found fascinating about this is, again, in this particular instance, it wasn't successful in finding him and saving him, but just the ability for new technologies like drones, just taking random pictures and then putting that in through the AI and having the AI look for anomalies. They were able to identify something that they couldn't have done in the past, and obviously at a much faster speed than they could have done in the past as well.[00:02:26] Robyn Bolton: This was such a great story, tragic ending for this hiker, but a phenomenal story of when AI is good, it can be great. And you know, it's an instance of AI doing something that humans are not good at. We're not good at finding a pixel in the snow. We have bias when we see things, and so we're more likely to overlook something red. Because we just don't see it.So, it was just a great story of how AI is augmenting what humans do. It is taking things that need to get done that we're not good at, and that it's equipped to do better than us. And you know, even though this story didn't have a happy outcome for the hiker, I bet the family is still happy to have him recovered and not be wondering. And as AI gets better, there's probably more people who will be rescued because of it. So, I thought it was just a wonderful story. Augmenting Human Judgment with AI and Drone Technology[00:03:25] Brian Ardinger: And it was interesting just to read through actually how the AI worked. The software managed to detect a kind of a red color, even though the helmet was in shade. So again, a human might not have been able to detect it, and it was very good at identifying anomaly.So, it didn't necessarily say this is exactly where the hiker is, but it was able to go through the mounds of image data and say, here's some possible places. Humans still had to go through and actually find it, but it again, sped up the process.And then I guess the other interesting point about this is the other technology, if you stack that on top of AI, the drones themselves, being able to get into crevices and places where traditional helicopters couldn't get into.What's interesting is again all these particular technologies that we're talking about are hitting all at once, and when you start looking at the cumulative effect of how these things can add value or create interesting solutions and that, that's what's accelerating innovation. It's this ability to add on, and it's not just one thing that can make a difference. It's this combination of things. [00:04:20] Robyn Bolton: And it's the combination of the technology and the humans versus trying to use the technology to replace humans. I mean even the drones, as you mentioned, the drone operators had to go...
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    15 分
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