In short
Joel Beasley, a software engineer turned CTO/podcaster, discusses using AI to measure “laughs per minute” and optimize stand-up sets, leading to a 20-day U.S. tour after ~10 months of comedy. He also covers industry news: Amazon corporate job cuts framed as AI-driven; OpenAI’s corporate restructuring; and OpenAI Atlas browser, plus broader themes like trust, transparency, and bias. He shares leadership lessons from Modern CTO guests and a “memory palace” technique for recalling story beats.
Guest background
Joel Beasley is a software engineer who became a CTO, then started podcasting (Modern CTO-style leadership content) and later launched stand-up comedy. He met Jeff Allen (Dry Bar’s top comedian with seven specials, 1B+ views) and was invited onto his tour.
Key claims
“Laughs per minute” (4–5 for pros) is a common metric; Gemini can analyze recorded sets via video. AI job cuts are largely middle-management/white-collar. OpenAI’s restructuring relates to its nonprofit constraints. Machine error is judged more harshly than human error (Algorithm Aversion paper).
Notable examples
Jeff Allen’s invitation (three sold-out Georgia dates, then 20 more through Feb); using a spreadsheet with audience size and money made; memory palace example (giant fuzzy beard front door → kitchen → refrigerator → dog in chair); leadership advice: “keep your world small” (Tom Marshburn), quarterly time audits (Kyle Malady), and don’t send angry emails (Mark Porter).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOJoel's Stand-Up Comedy Journey
0:45 to 2:14
Joel discusses how he transitioned from software engineering to stand-up comedy.
“Joel Beasley, welcome to the Super Data Science Podcast.”
Joining the Comedy Tour
2:14 to 2:53
Joel shares his exciting news about joining a comedy tour after auditioning.
“So I started comedy about 10 months ago and I, through a series of relationships and connections, I met Jeff Allen, who's the largest comedian on dry bar.”
Using AI in Comedy
2:53 to 3:49
Joel explains how he uses AI to improve his stand-up performances.
“So I'm, I'm going to have the tour dates in the show notes as well.”
Metrics of Comedy Success
3:49 to 6:06
Discussion on metrics like laughs per minute and how they inform comedy writing.
“So I started in December of this past year.”
The Comedy Writers' Group
6:06 to 7:03
Joel shares his experience at a comedy writers' group and how it influences his work.
“So I use AI in the evaluation of it, but I also use it in the writing process.”
Industry News Discussion
7:03 to 7:54
The hosts introduce a segment on hot topics in tech and industry news.
“I like the idea of these comedians sitting around.”
Amazon's Job Cuts
7:54 to 9:33
Joel and John discuss the implications of Amazon's announced job cuts.
“So several weeks ago, that's the time that you're listening to this, but, uh, Amazon announced that they are targeting 3000 corporate job cuts.”
Corporate Layoffs and Ethics
9:33 to 11:19
Discussion on the ethics of corporate layoffs and their impact on employees.
“They said it was largely middle management and white collar type work, which makes sense.”
OpenAI's Corporate Restructuring
11:19 to 14:01
Joel shares thoughts on OpenAI's restructuring and its implications.
“you have the opportunity to, you know, train a train is on a train has lost control and you're standing at this like switch point where you can decide whether it's going to hit like three old people or one child.”
Reflecting on OpenAI's Mission
14:01 to 14:57
Discussion on the original mission of OpenAI and its evolution.
“But their bank account balance makes up for it.”
Show all 26 chapters
Hot Topics in AI
15:27 to 17:47
Exploring the latest industry news and OpenAI's Atlas browser.
“So yeah, and then so, you know, this Hot Topics industry news segment that we're opening up with, we've done two stories.”
Memory Techniques in Digital Spaces
17:47 to 22:08
Discussion on memory techniques and the challenges of digital tools.
“come up with when thinking about it is it's probably just a reflection of how we store memories.”
Memory Palace Technique Explained
22:08 to 23:08
Joel shares how to use the memory palace technique for memorization.
“Just kind of like the story that like going through the house that Joel was just describing, your slide can just be a picture.”
Insights from the Modern CTO Podcast
23:08 to 24:31
Joel discusses the Modern CTO podcast and its notable guests.
“Let's now leverage some of your specialized knowledge.”
Lessons from Notable Guests
24:31 to 28:00
Reflecting on key advice and insights from past guests of the podcast.
“So what we're going to do next is based on, you know, you've had hundreds of guests on the Modern CTO podcast.”
The Role of Humor in Intelligence
28:00 to 29:25
Explore how humor is perceived as a sign of intelligence in hiring practices.
“And he just said what he thought, which was always great.”
The Origins of ChatGPT
29:25 to 30:28
Learn about the initial purpose behind ChatGPT and its unexpected success.
“It turns out, do you know ChatGPT was like an experiment to show people what the models could do?”
Human vs. Machine Error
30:28 to 31:50
Discuss societal perceptions of human error versus machine error in technology.
“And then he's also doing a consulting type company too.”
The Deedforst Effect and Algorithm Aversion
31:50 to 34:04
Understand the phenomenon of algorithm aversion and the newly coined 'Deedforst Effect'.
“And that's fascinating because we're watching our world start to blend with things like the autonomous driving and all of that.”
Bias in AI and LLMs
34:04 to 36:56
Delve into how bias in AI reflects societal preferences and cultural norms.
“And you can see that play out in the real world too, because the GPTs will treat you differently based off of different cultural norms in different countries from where you're logging into.”
Leadership Lessons from Guests
36:56 to 39:44
Discover impactful leadership advice shared by past podcast guests.
“So now we're going to have to kind of, we're going to do a lightning round to kind of round things out here.”
Time Management Strategies
39:44 to 42:00
Learn effective time management techniques from successful professionals.
“it's because you can kind of see them in the replays thinking about the next thing instead of just focusing on what's immediately in front of them.”
Tracking Habits for Personal Growth
42:00 to 44:35
Learn about the importance of habit tracking and metrics for self-improvement.
“I also have a quarterly reminder to kind of to review key habit.”
Leadership Advice and Emotional Intelligence
44:35 to 49:26
Explore key leadership advice and the impact of emotional intelligence on communication.
“And our ability to do that directly impacts our ability to scale.”
Philosophical Reflections on Existence
49:26 to 50:00
Reflect on the nature of existence and the beauty of being alive.
“So for example, I brought this up at like a small group or our church and they're like, well, is it a Christian author?”
Book Recommendation: The Untethered Soul
50:00 to 51:47
Discover insights from 'The Untethered Soul' and its approach to understanding consciousness.
“And yeah, you know, most comedians, they like to end the podcast strong.”
Transcript
Automatic transcript. May contain errors.0:00Jon Krohn:What happens when a software developer decides to become a stand-up comedian? He uses AI, of course, to quantify and optimize his performances, enabling him to land a massive 20-day tour of the U.S. less than a year after his first ever performance. Welcome to episode number 945 of the Super Data Science Podcast. I'm your host, John Crone. I'm joined today by Joel Beasley, a software engineer who became a CTO, who then started podcasting, turning the modern CTO podcast from a hobby into a big, profitable show. Now he's used AI to turn his new stand-up comedy career into gold as well. Hear about that, as well as the top pieces of tech leadership advice he's ever received in today's episode.
0:40Jon Krohn:This episode of Super Data Science is made possible by Anthropic, Dell, Intel, Fabi, and Garobi. Joel Beasley, welcome to the Super Data Science Podcast. How are you doing? Yeah, I'm doing great. Thank you so much for having me. I know you're doing great because I heard big news from you just before we started recording. So I've been on your show, the Modern CTO Podcast, a couple of times. and the last time I was on there, I don't know, it was about two months ago that we recorded. The episode came out about a month ago. At the time of recording, I'll try to find that episode to put it in the show notes.
1:14Jon Krohn:People want to listen to me on someone else's show. Joel is really funny. Actually, that's kind of the point that I'm getting to. I was going to say you should listen to the podcast episode because Joel is really funny and he brings out the best in me. I really have a lot of laughs on the show as well. And so it's just kind of a nice thing to listen to, unlike the drudgery that I usually put my audience through. uh, on this show. And yeah, to wit, when we were recording, you were getting, you had been getting going with comedy for a while. I hadn't, I hadn't caught up with you over voice in over a year.
1:48Jon Krohn:And you were saying that you were getting going with comedy. You're using AI tools in a lot of ways with that. So getting up, so you're monitoring your laughs per minute, for example, and you get laugh per minute benchmarks from some of your favorite comedians. So maybe you can tell us a bit about that in a second. But the first thing that I want to get to is that since I last spoke to you, a crazy thing has happened in your life. Tell us about it, Joel. Yeah. So I started comedy about 10 months ago and I, through a series of relationships and connections, I met Jeff Allen, who's the largest comedian on dry bar.
2:26He's got seven specials over a billion views. he lives in the same city I do we got together uh and he and then he invited me to audition to be on this tour so he gave me three like sold out theater dates in Georgia and that was the first week of October and I did those three dates he said he loved my comedy he thought I was great and then he invited me on the rest of his tour so now I've got like 20 dates between now and February.
2:53Jon Krohn:It's fantastic. So I'm, I'm going to have the tour dates in the show notes as well. So actually like anybody can do this as a very easy URL, joelcomedy.com. How many, how many millions did that cost about it? It was lovable. 25 bucks a month. It's amazing that that was free. Yeah. Uh, that that was available. Um, and so, yeah, so you can see all the tour dates. Some of them will actually have some of those 20 dates will it passed by the time this episode is live but many of them late november dates december dates january february they're all in the u.s uh kind of east coast in the u.s but all over so pretty exciting i'm gonna do my best to check out at least one of these shows as well so congrats roll amazing and if you do come to a show hang around after and come say hi to me because that's my favorite part nice yeah and so tell us about the ai tools that you use to support your comedy development?
3:49Yeah. So I started in December of this past year. So it's been about 10, 11 months or so. And I realized really quickly, I was like, what's the difference between good comedians and great comedians? And why are some people more popular than others? And comedy is very subjective, right? Like what's funny to me and my group may not be funny to you and your group. So I was looking for the common data point that would, you know, transcend groups. And I found that that common data point was laughs per minute. And so you can look at these comedians, the Nate Bargettskis, the John Chris, you can do it old school and just watch their special and jot down the laughs per minute, or you can run it through Gemini and have it calculate the laughs per minute.
4:34And so I found that four to five laughs per minute is the standard for a professional full-time comedian. And so I I said, okay, all I have to do is write material that elicits four to five laps per minute, and I will be on par with a professional comedian. And I've pretty much done that. So what I do is I record every set. I run it through the AI after the set. Nothing special, just Gemini prompt. Why Gemini? It was the only one through the browser UI that would consume video. GPT and Grok as of the recording date today will not consume video and it was able to do it and so I said okay that's super easy and I just started I have a spreadsheet John I have a spreadsheet like a nerd does and it lists every performance with a recording of the performance the laughs per minute what worked didn't work notes and how many people were in the audience how much money
5:31Jon Krohn:was made all of that stuff I love that I can't wait to see if it gets more sophisticated over time, like as, as your comedy career goes on, you get more and more sophisticated metrics. Like, so we're like right now it's kind of like laugh velocity. I wonder if we can like take the derivative of that and get like laugh acceleration. Yes. Well, also all laughs are not equal, which is actually a harder thing. So there's some people built software for this, by the way, called like laugh evaluator pro, but the duration of the laugh is important. The intensity of the laugh in relation to other laughs are important.
6:04So it can get pretty nerdy. I'm trying to keep it basic. So I use AI in the evaluation of it, but I also use it in the writing process. So for example, what I like to do is I write the joke, you know, like I write it and practice it. And I'm like, that's a good joke. And then I put it through AI to ask for like different perspectives, how they would see that joke, different potential areas, like directions that joke could go in, maybe words near this joke that have a double meaning, uh, things like that. And I'll, I've got a saved prompt that I use to act like a writing coach. Now, the way I figured this out, John, was I was going to a writer's group, a comedy writer's group where there would be like eight comedians in a circle.
6:48And we would all do like, we'd do like a minute of our jokes for that week. And then they would all give feedback. And so I went to like 10 of those modeled how those professional comedians gave each other feedback, turn that into a prompt. And now I just get to do it with, with the crock.
7:02Jon Krohn:Wow. That's really cool. I like the idea of these comedians sitting around. It kind of sounds like comedians, anonymous. Yeah. It's a fun time though. I'm Joel. I've been a comedian since December. Yeah. Welcome Joel. Nice. Cool. So we're going to do something different to start today's show. It's actually, it's something that I've been thinking about doing on the show for a while and kind of organically you and Josh on your team, whom I've also electronically met a number of times through your podcast and who is wonderful. You guys came up with this idea of covering hot topics in industry news.
7:44Jon Krohn:And yeah, like I said, that's something that I'd been thinking about doing. And so let's do it. So your first story here, this is actually really interesting. This really caught my attention when this news story broke yesterday at the time of recording. So several weeks ago, that's the time that you're listening to this, but, uh, Amazon announced that they are targeting 3000 corporate job cuts. Joel, tell us what's funny about that. Yeah, there we go. You putting me on the spot is what's funny about that. Uh, I think nothing, you know what I think is interesting about it though. I believe it's one of the first times.
8:19so you know i do my interviews right i interview corporate people all the time they try john so hard not to ever say the ai's and taking people's jobs they try they use their their word ninjas trying not to say it because they don't want the outlash that'll happen my favorite part about all of this if there is a favorite part is that they just came out and said it like because of ai advancements we're getting i think that honesty is actually really great so it's that maybe the positive to the dark situation also i read conflicting stuff i don't know if you saw this too but half the titles were 14 000 let go right now the other half where they're announcing 30 000 layoffs have you gotten any clarity on is it 30 total and they've done 14 already or the only
9:06Jon Krohn:number that i saw when i looked at this briefly was the 30 000 number and then i kind of i looked into kind of what percentage of their total organization that is and i think it's about 10 And this is, you know, this doesn't include, I'm pretty sure, people who are working in Amazon facilities. Like this is, this is Amazon corporate. There's, I think there's about 300 ,000 people in Amazon corporate. These are, yeah, white collar jobs. They said it was largely middle management and white collar type work, which makes sense. I mean, that's prime for, look, it takes zero stretch of the imagination for a corporate behemoth the size of Amazon to imagine that they've got 10 % bloat.
9:49It's probably 30, probably 30%. It's not a surprise to me.
9:56Jon Krohn:Yeah. And it's interesting because that kind of, that 10 % kind of cut, I think that's the kind of thing that General Electric was famous for throughout the 20th century. That it was kind of like every year, the bottom 10 % of people are out. That's fine for me. I'm okay with that because it's a garden. You can't just let everything overgrow. You have to trim it back. And there's going to be seasons and cycles of growth and reduction. It's part of the problem. When I was an employee way early on in my career, I would see this and be like, how could they? That's so bad. That's morally wrong. All of this stuff.
10:28But now that you're in the bourgeoisie, now that I own a business, you're choosing between letting the garden survive or getting rid of some of the weeds. It's like, you got to get rid of some of the stuff and trim some stuff back for it to grow properly.
10:44Jon Krohn:I appreciate that you're being so straightforward about this on air. That's what's gutting it. Seriously. I've been there. I've been at the, like it, when you're at the point and you're looking at the P &L and you're like either the whole company goes down next quarter or I cut 20 % headcount. It makes it really easy. It's like, because you're saving 80 % of the jobs. You're saving 80 % of the family's ability to have food on their table. Like that, you just have to look at it like that. Otherwise you'll drive yourself mad. I guess it's kind of like those moral puzzles that people have where it's like, you know, you have the opportunity to, you know, train a train is on a train has lost control and you're standing at this like switch point where you can decide whether it's going to hit like three old people or one child.
11:37Yes.
11:37Jon Krohn:And you need to make a decision. You need to pick which group is going to die. Yeah. And as the early on version of my employee self, I would look at it, I would see it hit the old people or the child, doesn't matter which one. And I would say, that's horrible. Those people, I'm talking myself into a corner here. My brain, my subconscious finished the analogy before I could. And I was like, oops. We don't want to go there. this is we're having a good time john great and so the next story is joel's canceled joel's train this is all just comedy people it's all just well having yeah designed to shock designed to shock yeah okay uh next story is yeah this was also really big news at the time of us recording today which is that open ai there's been talk about them doing this corporate restructuring for a long time.
12:40Jon Krohn:Basically, their hands were tied because they were this not-for-profit. And that was impacting how they could raise money. And I think Microsoft in particular found that this was problematic. And yeah, tell us a bit about that, Joel. What changed? Well, so I don't know a lot about it like a comedian would. I know the headline and I know my gut reaction to it. And my gut reaction was get them, Elon, like get them, you know, like I, Oh, wow. Yeah. You know, I wondered if you'd have that perspective when you said, you know, that you were using Grok. Oh yeah. No, no, because I followed this. I, I have been a fan of, um, Elon since before Elon was pop, like, like when he did PayPal, like when he was that level of popular, like just the guy who had done some of that, you know, back when he didn't have any hair and all of that.
13:31Jon Krohn:Many of our listeners literally weren't born at that time. Yeah. Yeah. So he, I was watching him then and reading his interviews that he would do and just consuming all the stuff I could because I had tracked, personally, I had this thing where I tracked Bezos, Branson, Richard Branson, and Elon Musk. Those are three billionaires that I picked to track. And so I've been tracking them for like almost 20 years now. And what are their laughs per minute like? Zero. But their bank account balance makes up for it. But I did watch the whole - Dollars per minute. Yeah, dollars per minute. I did watch the whole thing come out from when he loved OpenAI and he started OpenAI with them for this mission.
14:16And so I remember watching that be announced and watching it happen. And for me, that's like locked in my memory. So when I hear this, a lot of people who weren't highly focused on it when it organically rolled out, they're all just trying to twist how the past looks through the present lens. And for me, I'm like, I remember exactly what that was like. And that was their entire mission. It's in the name, John. Open AI. It couldn't be more explicit.
14:48Jon Krohn:Data scientists, it's time to talk about your tech. With Windows 10 support coming to an end, now is the perfect moment to rethink your setup. Enter Dell AI PCs, powered by Intel Core Ultra processors. These devices are built for the demands of modern data science, delivering faster performance, smoother multitasking, and the power to handle even the most complex workflows. Whether you're training machine learning models or analyzing massive data sets, these PCs are designed to keep you ahead of the curve. Don't let outdated tech slow you down. Visit dell.com slash shoppcs to explore how you can upgrade your device and elevate your work.
15:26That's dell.com slash SHOPPCS.
15:31Jon Krohn:So yeah, and then so, you know, this Hot Topics industry news segment that we're opening up with, we've done two stories. We're just going to have one final one here. And it's also OpenAI. It's their Atlas browser. Have you tried it, Joel? I have not. I watched the video of someone else trying it, but I have not personally tried it. Have you? I haven't. I got a big pop-up in chat GPT that asked me to try it. I don't know. I really like keeping, you know, all of the big corporations, they're always trying to do everything for you, but I actually really like having them all separate. I like having, you know, even if it costs me a little extra to be getting different services from different providers, somehow I feel more comfortable that I'm, that I'm, you know, I actually use a combination of different browsers for different purposes.
16:20Jon Krohn:So I use Firefox for some things, Chrome for some things, Safari for some things. Maybe at some point I will, you know, think that there's a reason why I need to be using Atlas, but I kind of, I like keeping things separate. Uh, I recently had an episode of this show, I can't remember who the guest was, but I was talking about how, uh, how I think a problem that open AI potentially has is a trustworthiness thing. And I, and I don't know if that's Sam Altman or the organization itself, but it kind of, it seems like they're happy to use whatever data they can get to be training their models. And so I am resistant to the opportunity to be linking OpenAI with my Google Drive, with my Gmail, with my calendar, because it just kind of seems like I'm probably giving up the data for them to be using.
17:14Jon Krohn:And with how nuanced LLMs today can already be, forget what AI capabilities we have in the future. It just, it seems like an unnecessary risk to me. Does that make sense? Am I kind of answering your question? Yeah. Yeah. I think it's interesting because I have the same preference with keeping the applications and everything separate. And I actually think that's almost a reflection of our biology, like our neural networks, like the way that information is stored. And it's really easy for me to have these apps where I go do these one single specific things. And the only explanation I've been able to come up with when thinking about it is it's probably just a reflection of how we store memories.
17:53Jon Krohn:Yeah, I think that I think that you're you could be onto something there because there's definitely something that I find a bit frustrating about digital tools, period, is that it doesn't have the same kind of spatial representation. Like when you're thinking about an object that you have somewhere in your home, it's quite easy to visualize where it is. You know, oh, it's in that chest in the living room. I know where that is. It's actually, I know it's specifically under a towel in that chest. Like it's very easy to kind of remember all those things. But when I look at, and actually perhaps even a more direct example is I used to always write everything on physical notebooks, but after losing one, I was like, Oh my God, like I just lost all my most important stuff and anybody out there in the world could have it.
18:42Jon Krohn:And for anybody that's ever been a client or mine that I've ever worked for, it wasn't any professional stuff. It was all the secrets. It was API keys. Yeah. He just handwrites them. exactly um and uh so i switched to using an ipad as my notebook and that's all that i have on my ipad but what i really miss is that with a physical notebook even though it's a small difference in physical space i would have a pretty good sense like i could flick in the notebook to like an important page or get within a few pages of that important page very quickly very easily And it's also really enjoyable to like, um, you know, I, I have a notebook where I keep workouts and to flip back through that notebook and look back over all the workouts.
19:31Jon Krohn:It's really enjoyable. But now that all that is digital on my iPad, it is so unpleasant to kind of flip back through digital pages and look back over them. Like it's, it's icky. I don't like doing it. I want a dashboard. Give me a dashboard. You know, aggregate the data. Hey, have you heard of the memory palace technique? Yeah, I actually, as I was talking about the house thing, it kind of reminded me. So tell the audience about the memory palace. Yeah, so I was struggling. I could remember my bits, like my three minute chunks of a story. Like that's easy for me. Remembering the order and how they flow together was the tough part.
20:05And so I started doing research on memory to see. Well, at first I spent years just saying, oh, my memory sucks, whatever. then I said I'm going to stop saying that and see if maybe I just don't know how to use memory properly let's go to the memory experts found the memory experts and they have this technique called memory palace and basically that's where you could like the way I'll tell you how I use it versus trying to explain exactly what it is I use it to like the visualization in my head of walking into my house like the front door I associate a joke with that front door for example it's a joke about my beard.
20:41So I imagine that the front door is this giant fuzzy beard. So I'm walking into my house and I see this giant fuzzy beard of a front door. Then I open the front door and my wife and three kids are in the kitchen, which is the title of my next joke. And then I do one on the refrigerator door and then one with my son sitting at the kitchen island and then one with the dog in the chair. And so I have all these, you know, the joke's not about a dog in the chair. The joke's about my wife hiring a dog to smell mold. And so I have all these things. My wife was in a movie, so I look at the TV. And so it turns out that your brain is really good at spatially remembering that and walking through these paths that you walk regularly.
21:21And so you can associate memories with them. And the more colorful the memory, like the giant fuzzy beard, the magnet that's on the fridge, all the different things, the giant dog and the tiny chair, You know, all of these, uh, the craziness of it helps you remember it. And I can tell you for, in fact, you can stand in front of 500 people and you can, if you lose your spot, John, you can just remember what room you're standing in and about where you're standing in your mind and just look around that room in your mind and pick the next thing that you want to talk about.
21:57Jon Krohn:I love it. That's so cool for your comedy routines, but our listeners can use it for anything. everything and it definitely it's a technique i've used as well and i'm glad that you brought it up because it's it's a good reminder it would be helpful for uh actually you know like right now i'm have a new 10 minute keynote that i'm there you go on and this will definitely help me although it's often with keynotes you can often cheat because you often have slides to yeah and and people listeners i don't know if i've ever said this on there before but please don't ever put just text on your slides?
22:33Jon Krohn:Just kind of like the story that like going through the house that Joel was just describing, your slide can just be a picture. Oh, for sure. Absolutely. It better be a good picture. Yeah. Yeah, maybe like a AI generated picture. Grock generated. Grock generated. It's the only Gen AI tool I use. It's imagined features pretty strong. Oh, yeah. Yeah. I actually, I haven't used it candidly. You haven't? I'll have to check it out. No, because I know it's right at the frontier on some capabilities. Yeah. So I really should be. All right. So this brings us to the end of our industry news section. Let's now leverage some of your specialized knowledge.
23:12Jon Krohn:So tell us a bit about the Modern CTO podcast first, Joel. Yeah. So the Modern CTO podcast, we've been doing it for about 10 years, about a thousand episodes. We're the largest CTO, like chief technology officer, tech leader podcast in the world. we've had on everyone from Sir Tim Berners-Lee, creator of the World Wide Web, to astronauts when they come back from space, to the CTOs of IBM, MasterCard, you name it. And what we do is we bring them on the show to find out what unique insight they have, whether it's leadership advice or industry advice, problems they're currently experiencing. And we have them share how they're doing it.
23:53My job is to pull the best knowledge out of them, try to get that one nugget they might not want to share out there that's really valuable. And that's what we do.
24:02Jon Krohn:Awesome. I love the show. I've been on twice, really enjoy it. The production quality that you guys have is insane. And I am hugely indebted to you as well as Josh, your producer, because both of you have provided me and therefore listeners to this podcast to tons of guidance from business, operations, production. You both have been really generous with your time over the years. I've admired your show for a long time and we've learned a lot from it and it's improved our show a lot. So thank you. Oh man, thanks. So what we're going to do next is based on, you know, you've had hundreds of guests on the Modern CTO podcast.
Read the full transcript
24:37Jon Krohn:You named many of them there, named many of them there. I didn't know Sir Tim Berners-Lee had been on the show. That's super cool. I'll have to check that one out. But just kind of tell us, tell us about some of the most incredible guests you've had on recently, what they talked about, you know, kind of what you learned, maybe the nugget that you got out of them that they didn't want to tell you. Yeah. I'll give you my top three. How's that? Yeah. Sounds good. Okay. Art Hugh, he's a CTL at Novo. He's been on the show many times over the past couple of years, but this time, I think it was like two weeks ago, he dropped some really good advice when he was talking about that you should be getting speeding tickets, not parking tickets.
25:16And the context of that is a lot of companies will move too slow to try for a variety of reasons, and then they'll have to pay the cost of moving too slow long-term. His advice is move fast and pay the cost of the speeding ticket, of moving too fast. And this was specifically in the context of AI implementation. so not like large-scale manufacturing or anything like that just implementing ai you should be getting speeding tickets not parking tickets do you agree with that what do you think i like that
25:49Jon Krohn:that makes a lot of that makes a lot of sense it kind of seems similar to me at the famous move move fast and break things slogan that facebook had in the early days and uh yeah i mean it's it's definitely i think that there's a i i don't necessarily ascribe to the school of breaking things necessarily deliberately. Uber was famous for that kind of attitude, for example, really pushing things legally, for example. I don't necessarily think that that's a great idea, but certainly trying things out, getting into the arena to use, I think it's a Roosevelt kind of saying to say that, to get into the arena and try things out and see what works is way more useful than reading more books about it, doing more planning about it.
26:39Jon Krohn:Just try things out and you will discover, you know, the path will unfold as you try things out. Yeah, and the context is super important because we're not talking about a artificial heart that we're making, or we're not talking about a medical device that fills you up with the IV. Like we're not talking about moving fast and breaking things with those people. We're talking about it often in the context of a situation where the worst case is a little bit of downtime, not death. So move fast, break things. Sounds great. I love Facebook for it, but I hate it when I'm a customer of their ads manager trying to use their ads manager.
27:19And I'm like, this is not good. Number two, Guy Kawasaki. Pretty popular, legendary Apple evangelist. Really legendary. I think he might be Canadian as well. Oh, that's kind of a, I'm going to look that up. Oh yeah. You guys have your club, don't you?
27:34Jon Krohn:Yeah, exactly. I always, anytime a Canadian comes up, I've got to mention them. Yeah, he was great. He was a lot of fun and he's out there surfing with his daughter. He's like, I'm going surfing after this show. And I'm like, you're the coolest 60 year old I know. So he was a good time, but my, he was funny too. He was, he was a funny guy. Yeah. Yeah. And he shared a lot of stories. He was super blunt. And he just said what he thought, which was always great. But one of the things that he really looks for when hiring or working with smart people is humor. He considers humor a sign of intelligence.
28:14And for me, I was like, maybe you should become a comedian, guy.
28:18Jon Krohn:Hey, Gal, why don't you become a comedian? I mean, so Canada is famous for comedians. Norm Macdonald, Mike Myers, John Candy, Jim Carrey, Catherine O 'Hara, Martin Short, Eugene Levy, Seth Rogen more recently, Dan Aykroyd, tons of great Canadian comedians, but one of them is not Guy Kawasaki. He was born in Hawaii. He was born in Hawaii? Yeah. I don't know why I thought he was Canadian. It's like Southern Canada. The Canada of the South. Hawaii. Just completely wrong. Not all the jokes work. That's why you throw away 90 % of what you write. uh zach cass he was the head of go to market at open ai and this is your number three this is my number three third and final recent incredible guest yeah re this this is contextualized to very recent so these are all in the past couple weeks zach cass by the way shout out to zach he's a papa for the first time this week so i got some awesome pictures on my my phone of his new addition to his family, but he was the head of go-to-market for OpenAI.
29:22So he joined them and helped launch ChatGPT. It turns out, do you know ChatGPT was like an experiment to show people what the models could do? It wasn't meant to be this like massive consumer product? Because
29:37Jon Krohn:I didn't know that. I didn't know that. I did not know that. Yeah, they were trying. So they were selling it. They were at$2 million in revenue. They were selling this technology to different companies and engineering firms and things like that. And it was just such a lift to, and this is my interpretation of it. You can listen to the full episode to get the actual story, but it was this big lift to explain it. And so they ended up making this chat GPT thing so that people could just feel it and touch it and understand it. And they tuned it for conversation specifically because they were selling these models that models could be tuned for anything, calculations for quantum stuff or for architecture or whatever it may be.
30:14So they tuned it a little bit for conversation, put it out there, and it became the fastest growing products of our lifetime. And he was there when it went from$2 million to$2 billion. And now he's out there on the speaking circuit. So I'm sure you're going to run into him over there, John. And then he's also doing a consulting type company too. but uh he he had some great talking points uh he the thing i remember the most was the the double standard for technology so your listeners might appreciate this so if we're killing each other at the rate of like 1.2 million people per year in car accidents it's like a crazy high number that's a large number right because our population is what 350 i think last known population in the
31:01Jon Krohn:us yeah 350 million so yeah so that's that's really insane so that's like a third of one percent like one in 300 people every year that's way worse than like 10 of amazon getting cut and that's a callback thank you john uh yeah so that that's exactly what's happening and but but the so we don't get up in arms about that right we're not super riled about that obviously it sounds bad, but I will tell you this. If a Waymo got in a fender bender or even a mildly difficult or one fatality, there would be pitchforks in the streets. And it's because of this concept that we're really okay with human error.
31:41Humans are okay with human error. We are not okay with machine error. Machine error is unacceptable. Human error is acceptable. And that's fascinating because we're watching our world start to blend with things like the autonomous driving and all of that.
31:56Jon Krohn:I'm actually currently writing a query to a chatbot to get, I think there's actually a name of that effect. So I'm asking, what is the name of the effect that people are intolerant of machine error but okay with humans doing the same? We'll see what comes back in real time. I'm not going to, I don't know, automation bias. I thought it would have a good, it needs something better. Tell it, tell it. and be like, you're wrong. Your confidence score is too high. Make it better. So we're going to do it right here. We're going to name it right now. So this comes from, there's like a key paper from 2015 called Algorithm Aversion.
32:36Jon Krohn:And I'll put this in the show notes. The first author on that paper is named Berkeley Dietforst, which first of all, amazing name. Berkeley is the first name, apparently, unless this is a Gen AI hallucination. He has a beard. I feel like Berkeley Dietforst has a beard, right? Well, I mean, I can find that out in real time. Search Google for Berkeley deed forced. He's got like a five o 'clock shadow kind of thing. All right. That's not nothing. Redhead. A lot younger than I was expecting. But so, yeah, we're going to call this thing the deed forced effect. Let's do it. Yeah. From now on. Deed forced effect.
33:13I like it. I'll pass it along to people. Nice. We also talked a lot about bias and LLMs. I hate that phrase. I don't like it at all. And the fact that it's not a bug and it's a feature, it's a core principle of all thinking things. Like bias is this absolutely necessary function for intelligence. Like you have to bias putting your hand on the stove versus not. Like you have to understand that. What we argue about as humans is the popularity of different biases as trending topics like this group's preferenced over this group or something like that. That's what people are really saying when they're saying there's bias in technology.
34:00They're really saying we want our preferences for our groups enacted. And you can see that play out in the real world too, because the GPTs will treat you differently based off of different cultural norms in different countries from where you're logging into. I don't know if you know that or not, but they have them trained on the cultural norms of the places that you're accessing them from.
34:22Jon Krohn:They do. And I heard, I don't know if you heard this as well, but as a Grok fan, maybe you can fill me in on whether this is accurate. But my understanding is that, so one of the ideas behind Grok was to provide a different kind of bias to the bias, which is relatively homogeneous that we get from the other frontier lab providers. And so the idea with Grok was that we could get a different perspective, maybe a more centrist or more right-wing approach than what the Frontier Labs are generally reinforcement learning, training their chatbots to be like. but some of the initial results weren't great and so they it appears that they changed the prompt for particular circumstances to align with elon musk's views on certain topics oh they did yeah like it wasn't even they didn't even try to reinforce the learning training it was just like added to the prompt added to the context like if this comes up this is your opinion that's interesting and you know i like maximally truth-seeking ai like i was sold on that concept from him uh i don't know how i feel about about that i'd i'd have to think about that and research it more about those specific instances i'm not saying i believe it or don't believe it i just it's too early for me to tell like how i would feel about it haven't thought it through but uh yeah, it's a, that's a lot.
35:51I like the maximally true seeking part though.
35:54Jon Krohn:Yeah. It's a nice idea. It's just, it's hard to know what truth is and. Well, that's why I like transparency. So that was a part of the conversation with Zach, the open AI guy. I am pro, I was using different words. I learned from him. It's the word to use is transparency. So I am pro legislating model transparency. I think that's a good legislation point because it should be like a nutrition label where I get to see the ingredients. I get to see what you've told this thing that was trained on raw data. And then you started to shape its future. I want to see what you've told it so that I at least have an option in the marketplace and I know what I'm consuming.
36:30I'm okay. Give me a woke LLM. Give me a redneck LLM. Give me a gangster. Give me all these different types of LLM. I would love them, but I need to choose them and use them for the different reasons that I need them. I can't have this like ambiguous, well, we've got this culture here and we're making decisions and we're doing it behind the scenes. You just use the product. It's like, I need transparency.
36:53Jon Krohn:I like that. I like that a lot. All right. So now we're going to have to kind of, we're going to do a lightning round to kind of round things out here. Cause I know you have a lot to talk about on, on this. This was actually when we first started talking about you doing an episode on the show, the first topic idea is now what we're going to go over, which is the best leadership advice that you've received from guests on the modern CTO podcast that you host over all time. So you kind of recently just told us about some recent incredible guests and some cool lessons that they had for us, but now we're going to stretch back over all the guests you've ever had.
37:25Jon Krohn:And yeah, I guess spend about a minute on each one. Yeah, yeah, yeah. We don't have to hit all of them, But I've ordered them almost in the most impactful applying to my life. So these are lessons that I've learned over the thousand episodes. I've applied them to my life and they've still impacted me today. So it's used experience validated. The first one was Tom Marshburn. He is the first astronaut to command Elon's manned flight. So he was the first astronaut on Elon's first manned flight. Super cool guy. The guy is just next level brilliant. John, he's like a pilot and a surgeon and all of these things.
38:08He's smart and an astronaut. Yeah. That's great. I know. I know. And so he came on the show after his mission with Musk. And we were talking. And I said, look, you do all these crazy things. He shared this story about how they'll fly into an emergency bay flight situation where there's just chaos happening all around, people screaming, dismembered, all these bad sort of things. And they're trying to piece together this situation. And he also shared the space flight and the connection between these two, like if you're doing a spacewalk. And he says, what happens is when you get into this chaos, this chaos of this stress or all these things happening around you, the answer is to keep your world really, really, really small.
38:55He's like, so when he's on that crash site, he's not thinking about the helicopter 30 yards away. He's not thinking about the police all around in the fire truck. He is focused on what is my next move? What's the next stitch? what's the next thing that I have to do to save this person's life? Or what's when he's in the, in space, what's the next thing I'm grabbing with my hand and how am I moving this latch? And what's the next knob that I'm twisting? He, he just makes his world really small. So I heard that advice maybe three or four years ago. And I've put that through practice and stressful situations with my family and my kids work all different ways.
39:34And every time it rings true, It's my hands down, my number one best piece of leadership advice I've ever received on the show.
39:41Jon Krohn:Nice. I like that a lot. And it kind of reminds me of how when you see professional athletes, the best in the world of what they do, mess things up, it's because you can kind of see them in the replays thinking about the next thing instead of just focusing on what's immediately in front of them. So, you know, a baseball, an outfielder in baseball going to catch a pop-up, routine pop-up, but they're thinking, they're already thinking about throwing the ball to first to pick off the base runner instead of just staying focused on what's immediately in front of them catching the ball. It's very hard to be present, to live and act in the present.
40:16And especially when you're a planner or an engineer, which a lot of the people that listen to your show are. Next best piece of advice is more in the business side of things, time management side. And it came from Kyle. When I first met Kyle, he was becoming, he was in the transition process of becoming the CTO of Verizon. And so I had called the CTO of Verizon. I sent him a cold email. He called me back in five minutes. Hans. Hans was like, hey, I thought it was the coolest thing in the world that he called me back from a cold email. He's like, hey, you don't want to interview me because it's not public knowledge.
40:51I'll tell you now. It's private. He goes, but next week, I'm becoming the CEO of Verizon. And this new guy, Kyle, is getting promoted to CTO. He goes, so you want to talk to Kyle? Because by the time this thing airs, I won't even be the CTO. I said, thanks, Hans. So we got Kyle on. This was maybe five, six, seven years ago or something. And he was just brilliant. But he shared this one very specific piece of advice. And it's in relation to time management. And so what he does is every quarter, he'll have like a reoccurring event in his calendar and he'll sit down and he'll say, make a list of everything he is doing and everything that needs to get done.
41:30Like, here's everything I'm actually doing on a daily basis. Here's everything that matters. And then he syncs those lists up because what will inevitably happen is you end up doing, working and spending a lot of time on things that don't actually matter to the goals right now. And so that pie chart of looking at how you're spending your time and deciding if that's the way you want to be spending your time or should be spending your time is something I have been doing now for several years. He's been on the show many times over the past couple of years, but he shared that advice when I first met him and that's stuck with me.
42:02Jon Krohn:I like that a lot. That's important. I also have a quarterly reminder to kind of to review key habit. So every day I have a habit tracking spreadsheet and I track these key things, uh, inputs as well as outputs. So, you know, the kinds of things that you can change, like how many hours did I spend in bed is like a leading metric that I can track every day. And then, um, you know, I could, I could have a lagging metric of, did I wake up feeling refreshed? Something like that. And, uh, there can be all kinds of things like the number of drinks I had has a big negative impact on whether i had a refreshing sleep zero bro you don't drink no list of things you could do before you have kids drink you want to try to be hung over with children they wake up at like 6 a.m and they climb on you there's no there's no drinking with kids that's cool i didn't know that i did i drank a lot in my 20s before but i was like i can't do this anymore even like special occasions or something i just i mean i just i i just don't really no no i like gummies i'll eat a gummy for a special occasion yeah those don't whatever my body when i turned uh so i'm 38 when i turned like 27 or whatever just like stopped wanting to process alcohol at all uh it's just like nope we don't want alcohol anymore and i was like are you sure because it's a lot of fun and it's like yeah we don't want that anymore.
43:29Jon Krohn:Yeah. That happens a lot. I've had, you know, uh, one of my roommates in college, he was, who is still one of my best friends. Uh, we used to drink together a lot. And the last time I saw him, you know, I hadn't caught up with him in a couple of years and yeah, he, he drinks, uh, you know, cannabis beverages because he's like, you know, I just got to a point where I realized if I have one beer, I feel terrible. Um, so I just don't do it. Um, And so just to, so anyway, to get us back on track, this guy, Kyle, oh, I was going to say the thing that got me, got us talking about this was with the habit tracking.
44:07Jon Krohn:Once a quarter, I go back and review. The idea of doing it for time is a really good idea as well. I'd like to incorporate that into kind of. Yeah. Like where are you spending time? Sales delivery. Like where are you spending time? Also another one that I throw in there too, with that recurring event reminder is, are you doing anything you don't like doing? Because we're founders. So inevitably we're the garbage collector. We get to do all the stuff that nobody wants to do or that is new that we don't know if it's going to work yet. But our job is to do things, figure out how they should be done, and then hand them off.
44:35And our ability to do that directly impacts our ability to scale. Because if we never hand anything off, we're a team of one. 100%.
44:42Jon Krohn:Nicely said. And yeah, so you have mentioned how Kyle is now CEO of Verizon. I think you might not have said his full name, which is Kyle Malady, if I'm pronouncing that correctly. I think so. Um, yeah. And, um, yeah. So now this is potentially based on how much time we have left for you to record. This might be your third and final piece of leadership advice, which is kind of nice doing things in threes. So we have three topic areas, news, recent incredible guests, and best leadership advice you've ever gotten on the show. And in each of those three categories, we have three topics. And while I would love to give you guys the best advice from Seth Godin or Ed McLaughlin, who is the president of MasterCard and CTO.
45:24I'm going to go with this one here at the bottom, but you can go listen to their episodes on Modern CTO. You can go listen to their episodes and the information's in there. But the third biggest impact to my personal and professional career leadership advice that I ever got, Mark Porter, CTO, DBT Labs, and drafting drafting your emails like in Evernote when you're angry before sending them. So you don't want to do it in the draft because you might accidentally hit, you know, you know, this might be against you. You might tap that, that send button halfway through, which is the worst. And inevitably, anytime that you're emotionally charged, it's not, you need to wait for yourself to get back to neutral review the writing often you'll be like that sounds like a crazy person and you won't send it like i have a a not send rate of basically a hundred percent of every angry email i've ever
46:23Jon Krohn:done this that's what i was gonna say is that i it's hard for me to imagine based on and granted all basically a hundred percent of our interactions they've been digital most of them most of the time that we have had has literally been while recording podcast episodes either your show or now mine but it is impossible for me to imagine you angry. I don't get angry. You can talk to my wife. Uh, I, I, I don't, I'm not a very angry person. Um, you might be angry after you find out that I already had been talking to your wife.
46:56Hey, look at that. No. Um, but yeah, there's a, yeah, I don't know why, man. I've always been people like earlier on in my life. They, somebody told me they're like you remind me of the guy from like the lego movie like everything is awesome and i was like yeah i guess because like we're alive and we could not exist john but we do exist and you mostly don't exist there's like mostly billions of years of emptiness in a vast empty universe and for some reason you're standing on a comedy stage making jokes and people are laughing to me it's beautiful and i think whatever you consider god is fine but like I, when I use the label God and I'm referencing the thing that created everything.
47:40And so whatever, whatever that ends up being is what it is. But like, I think the fact that we are here by whatever means necessary or however, whatever words you want to use to describe it. I just think the act of being here is the coolest thing in the world.
47:54Jon Krohn:That's a really good, uh, really nice point to end the episode on and yeah, something to not lose sight of for sure. So yes, that brings That brings us to the end of the topics for the show. But as you know, at the end of every episode, I ask my guests for a book recommendation. Joel, what have you got for us? Well, since we brought up God at the end, I'm going to go with the Bible. No, no, no. He's from Nashville, people. Or he's from Nashville. He's from Tennessee, people. No, no. I would say that one of the books that helped me the most spiritually was the book Untethered Soul. and that book the first three chapters really walks you through almost this exercise of understanding what you are and it's like a consciousness exercise if anything like if you cut off your finger like are you still you it's like well yeah and then it just goes through this whole situation where it kind of helps you understand internally like what you are and what i've come to and the conclusion is like i am the ability to make a choice like i get to choose and there's a bunch of different options that appear to me every day in every single way.
49:04And I am just this choosing mechanism and my choices yield are directly related to the quality of my overall experience here. And so what I try to do is I try to make better choices. And I think the Untethered Soul book, I don't know if it'll help you make better choices, but it will definitely help you understand how to think about who you are and yourself. and I think it's applicable to any religion. So for example, I brought this up at like a small group or our church and they're like, well, is it a Christian author? I was like, no, but it doesn't matter because God gave us consciousness and this author is talking about better understanding consciousness.
49:38So it doesn't need to be explicitly a Christian author. And for that regard, I believe it would be applicable to any religion.
49:47Jon Krohn:Nice. I like that, Joel. Really nice. For a funny guy, you've had his pretty serious ending to this episode. Oh, well. And now we're out of time. And yeah, you know, most comedians, they like to end the podcast strong. I like to end it on an awkward note. So thank you for listening. JoelComedy.com, Modern CTO. Yeah, so I'll have in the show notes your upcoming tour dates and people can keep that, you know, keep an eye on that. Even if you're listening to this in the distant future, there will probably just be more tour dates at even bigger venues in years to come. So joelcomedy.com. Go on Instagram.
50:29I'm trying to do that. There's a QR code. Oh, yeah.
50:33Jon Krohn:So if you're watching the video version, Joel is holding up a printout of a QR code. And it leads to Mr. Joel Beasley on Instagram, which we will also have in the show notes. Any other way that people should be following you other than Monarch TV Podcast, Joel Comedy? if you if you thought if you had fun if you're like oh that's a funny guy then you like my style of humor instagram's the best i do a 60 second update every week on my comedy journey i'm in week 44 and uh that's if you like the technology leadership stuff it would be modern cto available everywhere you can stream podcast favorite episode in the history is john crone's episode so go listen to john on our show had a great time and uh thank you guys for listening my first episode or my second.
51:20I like all your episodes. They're equal.
51:24Jon Krohn:Uh, equally your two favorites ever. Yeah. Wow. What are the odds? Yeah. Um, that's why they made the list too for today. Uh, if you're like, well, the lists were all about best advice and you're like any advice that he had in those episodes, don't take them. But we had a good laugh. No, this is great. Nice. Yeah. I had a really great time, Joel. Hope to have you on the show again soon. Thank you so much for taking the time and best of luck. Awesome. Now that was a fun one. In today's episode, Joel covered his systematic approach to comedy using AI, including recording every performance, analyzing laughs per minute through Gemini, and maintaining a detailed spreadsheet tracking what works.
52:07Jon Krohn:He provided the top advice he's ever received on his Modern CTO podcast, including astronaut Tom Marshburn, suggesting you keep your world small to come out of stressful moments on top. And he talked about the case for AI model transparency is a form of a nutrition label, allowing users to understand what biases and instructions have been built into different models so they can make informed choices about which tools to use. As always, you can get all the show notes, including the transcript for this episode, the video recording, any materials mentioned on the show, the URLs for Joel's tour dates, and social media profiles, as well as my own, at superdatascience.com slash slash 945.
52:45Jon Krohn:Thanks to everyone on the Super Data Science podcast team, our podcast manager Sonja Brejevich, media editor Mario Pombo, our partnerships manager Natalie Zajewski, researcher Serge Macis, writer Dr. Zara Karche, and our founder Kirill Eremenko. Thanks to all of them for producing another excellent episode for us today, for enabling that super team to create this free podcast for you. We are deeply grateful to our sponsors. You can support this show by checking out our sponsors' links, which you can find in the show notes. And if you want to sponsor an episode yourself, you can go to johnkrone.com slash podcast to learn more.
53:18Jon Krohn:Otherwise, share this episode with folks who would like to have it shared with them, who would like a good laugh about AI. Review the show on your favorite podcasting app or whatever, wherever you view episodes, listen to episodes, subscribe if you're not already a subscriber, but most importantly, just keep on tuning in. I'm so grateful to have you listening, and I hope I can continue to make episodes you love for years and years to come. Till next time, keep on rocking it out there, and I'm looking forward to enjoying another round of the Super Data Science Podcast with you very soon.
From the publisher
Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work.
This episode is brought to you by the Dell, by Intel, by Fabi, and by Gurobi.
Additional materials: www.superdatascience.com/945
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(02:14) Joel Beasley on his comedy career
(19:04) Applying the ‘memory palace’ technique
(22:28) About The Modern CTO Podcast
(36:24) Leadership advice from The Modern CTO




