Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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230: The Hidden Cost of Being a High Achiever

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High achiever burnout rarely looks like burnout from the outside.

It looks like the title. The growing team. The calendar nobody else could carry.

Pete Wilson had all of it. Twenty years as a pastor. One of the fastest-growing churches in America. Bestselling books. He said yes to every stage and every request, because he was sure it could all dry up tomorrow.

Then it came down in public. And the guy with “anything’s possible” tattooed on his arm found himself sneaking into a grocery store at midnight with his hood up.

His way out started with a two-part question he heard from Byron Katie. He began running it on every thought in his head, and it changed how he saw his life, his work, and the people around him.

Your life is moving in the direction of your most powerful thoughts. Whether you picked them or not.

Pete and I get into the difference between a created life and a default life. We cover why the truth gets scarcer the higher you climb, and the cost nobody counts when they stay stuck.

Press play. Then go find out where your thoughts are taking you.

The Happy Engineer Podcast

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What You’ll Learn

 

Anything’s possible. For everyone but you?

Pete had “anything’s possible” tattooed on his arm before his life fell apart. He preached it to thousands every weekend and believed it was true for all of them. He just never believed it for himself. If you’re the one who sees everyone else’s potential but can’t see your own, this one’s for you.

 

Every yes felt like survival

Every book offer, every speaking invite, every request got a yes. Pete was convinced it could all dry up tomorrow, so he had no boundaries and nothing left. Think about the last project you took on because saying no felt dangerous. That’s the same scarcity talking.

 

Is that true? Are you absolutely sure?

Walking into a grocery store, Pete was certain everyone was judging him. Then he asked himself two questions, and the certainty fell apart. Most of the stories you tell yourself about your career would fail the same test, and you’ve never run it.

 

The higher you climb, the less truth you hear

Pete sees it with every high achiever he coaches. Fewer people you can be honest with, and fewer people willing to be honest with you. It doesn’t wait until the C-suite. Senior engineers start holding back from their Director long before that. If nobody is telling you the hard thing, that’s a warning sign.

 

Nobody counts the cost of staying stuck

We count the cost of a book, a conference, a coach. Pete’s question is what it costs to be in the exact same spot a year from now. A whole year of your life, spinning your wheels. Then he asks the question that convicted me on the spot: what’s one thing you’re tolerating right now that you know you shouldn’t?

 

About Pete Wilson

Pete Wilson coaches high achievers who look like they have it made and quietly feel like it could all cave in. His work centers on one distinction: living a created life instead of a default life. That means choosing your thoughts and actions on purpose instead of reacting to whatever comes at you.

Before coaching, Pete spent more than 20 years in ministry. He founded Cross Point Church in Nashville in 2002 and, over 14 years, helped grow it to reach more than 7,500 people every weekend across seven locations and online. It was repeatedly ranked among the fastest-growing churches in America. He’s also been the person who stepped away from all of it, burned out, and rebuilt from the ground up.

His bestselling book Plan B has been printed in five languages, and he’s also the author of Empty Promises, Let Hope In, and What Keeps You Up at Night? He speaks to leadership and business audiences and is writing a book of life lessons for his kids. Find him at petewilson.co and @pwilson on Instagram.

 

Links & Resources

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Work with Zach — Book a free Career Growth Audit 

Connect — Follow Zach White on LinkedIn

 

FULL EPISODE TRANSCRIPT:

Please note the full transcript is 90-95% accuracy. Reference the podcast audio to confirm exact quotations.

[00:00:00] Zach White: Happy engineers. Welcome back, Pete. It is so good to have you on the show today. Really appreciate you making time and ironing out all these issues on Zoom before the call today to be here for the interview, man. Awesome to have you. 

[00:00:23] Pete Wilson: Yeah, I’ve had some audio issues today, but, uh, That’s all right.

Expand to Read Full Transcript

[00:00:27] Zach White: You know what, Pete, I am an engineer and uh, you know, the happy engineer listening, it’s like, we know at the end of the day, it doesn’t matter how good you are with technology, sometimes the software wins. 

[00:00:38] Pete Wilson: It’s just… it does, and it’s, I, I feel like if I’ve had like a 48 hour period of not being on Zoom, When I get on there, something is going to be different.

[00:00:48] Like it’s not going to be the same every time.

[00:00:51] Zach White: Yep. Well, for whoever’s out there who works at Zoom and is offended by that, we’re sorry, but it’s just the, so 

[00:00:58] Pete Wilson: I’m sure it’s user error, I’m sure a hundred percent operator.

[00:01:01] Zach White: Hundred percent, yeah. And, and hey, the one good thing about software, you just hit reboot and it always comes back to life, so, 

[00:01:08] That’s right. Pete, you have such a powerful story and I wanna dig into how you got to where you’re at today and the incredibly powerful work that you do as a coach, as a speaker, as an author. But there’s a phrase that you use that I think sets the stage and is a, a great diving board for us to just leap right off of into what makes Pete’s work, incredibly special and different from what I’ve seen from so many other coaches out there.

[00:01:37] It’s the phrase anything’s possible. And if I’m not mistaken, you have it tattooed on your arm. Is that right? I 

[00:01:44] Pete Wilson: do. Yeah. It’s right there. Yeah. 

[00:01:45] Zach White: So for those who are just listening, you missed it. Go check on YouTube, but you got anything’s possible tattooed on your arm. So can you take us, Pete, to the place where the seed of that belief was planted?

[00:01:59] Pete Wilson: Mm, that’s a great question. I, I, I think there’s a, a series of moments in my life that have really led me to believe that that’s true. And I, I think for me, years back, I, I’d watched certain people that seem to just accomplish incredible things and really I had a unique opportunity to, um, spend a lot of time with some very successful people, people that the rest of the world looks at and just thinks that they.

[00:02:27] gifted in a unique way that makes them, you know, perfectly positioned to accomplish the big things they’re accomplishing. But the more I had conversations with them, the more I discovered, while they had certainly had giftedness, their giftedness was not that far off the charts from everyone else. Right.

[00:02:46] But what. Did do was that they were very intentional about their life, and there’s this phrase, I use a lot of the difference between living a created life versus a default life, or you could say a design life versus a default life where a default life is basically you’re just responding to the circumstances around you, right?

[00:03:06] You just kind of react. life happens and sometimes it’s good, sometimes it’s bad. But then there’s this other idea that I saw with people that were living this created life, right? They really believed that anything was possible it wasn’t that they thought everything was just gonna be great and easy going, but they really.

[00:03:26] partnered their thoughts, their actions, their intentions altogether, and they went after the life that they wanted to live. And I just saw that again and again and again, and I just thought, Wow, that the average person, you have a choice. You can either live this design life or this default life.

[00:03:43] Pete Wilson: Yeah. And in a design life, I really believe anything is 

[00:03:48] Zach White: possible. It’s amazing. I, I know. Client confidentiality is important in coaching, Pete, but are there any examples of those people that you would be able to share with us where on the surface it might seem that they were gifted or advantaged in some way, but you had the privilege of discovering they’re not that different from you and me?

[00:04:08] Pete Wilson: Yeah. There’s a, a couple, one that really stands out that everybody will know this name, is Taylor. and this is years ago, she was still in country, but starting to transition over into pie and, um, spent a couple days with her. We were out on a bus. Her mom’s there we’re just talking through everything.

[00:04:26] Right. It became crystal clear to me that this young lady, 20 years old, I think at the time, I mean her talent, everybody knows her talent, right? But what was happening behind the scenes was just as, in my opinion, spectacular. There’s certain ways, right that, the music industry works with management Sure.

[00:04:46] Make a percentage of what you do. So it’s always in their best benefit to. Book you as much as they can possibly book you. Every tour, every movie, every whatever. And she had seen that happen. She had seen what? What happens in that traditional model and. She just turned the whole model upside down. She didn’t do the percentage thing.

[00:05:05] She paid people on salary, versus, percentage for this and percentage for that. Set her up to be more healthy, make choices for the overall brand of Taylor School. Yeah. Wow. And I, I just saw those little things of just like, Again, some people would, look at her life and just think, Oh, I, I want that.

[00:05:24] Like, that’s exactly what I want. But the reality is there’s plenty of people as talented as her with as many opportunities as her, whose life ends up in complete shambles. And she took control of that and said, No, I’m not going into the music industry and living a default life and just saying, this is the way it has to be.

[00:05:42] I’m gonna make some changes that will benefit me, my family, my. and it’s phenomenal at a, a very young age to turn that model upside down. Just a, a great reminder to me of how, again, anything is possible, and living a created life is absolutely something that we can all do. 

[00:06:00] Zach White: That’s amazing. Pete, what I love about that example, and I wasn’t expecting this to pop into my head, but there’s just as much fear and uncertainty.

[00:06:09] Default living on the road to success as there is to the perceived road to failure.Right. You know, I don’t think there’s failure, just feedback, but the idea of, reaching a certain. Stratosphere of fame, or you know, whether it’s income, a level in your company, you’re a vice president or cto.

[00:06:29] Yeah. But there’s a lot of dead bodies, if you will. I’ve used quotes here like along the road to those kinds of roles where people’s lives behind the scenes are absolutely torn apart, or one day that. Journey to success. Choose them up and spits them out. I mean, how many singers, songwriters, famous musicians, end up with these really tragic endings?

[00:06:49] So that’s a great example where, you know, anything’s possible. Doesn’t just mean getting to success, but sustaining it in a way that fits with what you want. That’s a really cool thing. Yeah. So when did that begin for you, in terms of your story? Was this something that you were doing? day one, right outta the gate, you were just born a coach or let, let, Tell us about Pete’s story a little bit.

[00:07:11] Yeah. How’d you get to this point? 

[00:07:12] Pete Wilson: and fortunately it’s not the prettiest of stories, you know, but that’s often the way growth happens, right. But I spent the first probably 20 years of my adult life as a pastor. I started two different churches, and the second one I started, here in Nashville where I live now, and, you know, had tremendous success.

[00:07:30] Year after year ranked one of the fastest growing churches in America. Wow. Uh, numerically, everybody would’ve looked at it and said, Oh my gosh. Like, how’d that happen? You know, but I was very much living a default life. I was, not really paying attention to, my health mentally, physically, I was completely burned out.

[00:07:51] Pete Wilson: I went through a massive personal failure with a divorce, uh, which is painful. No matter what you do, but if you’re a pastor and go through a divorce, it’s kind of lights out, I, I felt almost instantaneously everybody that had been around me for most of my adult life was running away from me, because I was considered, you know, damaged goods.

[00:08:13] And, I was very depressed. So courage. , probably suicidal. Certainly had those thoughts and struggled with that. Mm-hmm. , Uh, I had three boys at the time, if it hadn’t been for them, I don’t know what would’ve happened.

[00:08:26] I really don’t, but Seeing those three boys and knowing that they depended on me was enough to start to pull me out of the funk and say, Pete, you’ve got to get up on your feet and figure this out. Yes. It’s devastating. The divorce is devastating. Losing your career was devastating.

[00:08:44] But you’re not started completely from scratch. You have a lot of tools and experiences and relationships you’ve gained throughout your lifetime, and now it’s trying to figure this out. the default life for me at that point had become, Uh, literally almost deadly to the point where I said, I’ve gotta take control of this.

[00:09:01] I’ve gotta live a created life. I’ve gotta take control over my thoughts, over my actions and start to build the life that I feel like I was created to live. and that rock bottom probably for me was, the catalyst for me starting to put a lot of this back together again and use my past to help others so that maybe they could learn and grow without going through some of the painful mistakes I had.

[00:09:24] Zach White: Pete, I imagine, you know, you’ve probably gone through this cycle of questions many times and I don’t want to drum up, pain for no reason, but I think it’d be really valuable for, you know, the engineering leader listening. I’ve also gone through a rock bottom divorce and you and I share a bit of that story in common.

[00:09:43] But your point about as a pastor, like my heart really is I get that man that just feels. Like if there was one way to make my situation even harder, that would’ve been it if I was not an engineering leader, if I had been a pastor. Cuz you’re right, just the, the pressure of that congregation expecting a certain thing from you and then not getting it.

[00:10:04] so I’m curious, during those days, months, even years leading up to hitting that rock bottom moment of being divorced and what you just described to us, were there. signs or things that, like you blew right past a road sign that looking back it’s like, how did I miss that? That now you’re really intentional about.

[00:10:26] Zach White: And you know, that was a huge lesson for you along the way sounds like you’re achieving amazing results in the church, but these other areas became blind spots for you. Looking back, can you describe like what was. Trajectory, Like, I mean, did you just fall off a cliff and boom or was it a slow fade and you missed some warning signs along the way?

[00:10:46] Yeah, 

[00:10:47] Pete Wilson: yeah. Publicly, I’m sure it appeared to everybody to be a jumping off the cliff. Kind of like, I don’t think the vast majority of people would’ve known that for years stuff had been bubbling up. for years I had ignore. Taking care of myself. I lived with this scarcity mindset that, you know, every offer I had to write a book, every speaking invitation that came across my desk, I had to say yes to all of it.

[00:11:15] because I lived with this idea, it’s all, it could all dry up tomorrow. you gotta hit it while the sun’s shining and, that really contributed to the burnout significantly. I, I I had no boundaries. That’s probably one of my biggest issues. I was a people pleaser.

[00:11:29] being a people pleaser and being in full-time ministry is a deadly combination. , Yes, it’s, it’s toxic for sure. And so, you know, again, I had no boundaries. I was a people pleaser. But one of the incredible gifts that came outta all of that, I mean, nobody likes going through a public divorce, but.

[00:11:47] when your approval rating goes. Many would’ve assumed was like a 99% approval rating to like a 5% approval rating overnight. You know, it’s, I was not weaned off of the people pleasing. It just happened. all of a sudden I’ll find myself, sneaking into the grocery store midnight with a hoodie on.

[00:12:06] Pete Wilson: So nobody sees me. And you know, it’s just the shame that you have and you carry it can be so destructive. but again, I look back and while I wished. Would’ve been another way to learn and grow in the way that I, you know, I did. I’m grateful. I’m grateful that somehow, some way that message of anything’s possible sunk from my head to my heart.

[00:12:32] I already believed that phrase. I already had this tattoo when I went through everything. I believed it here in my head. I did not believe it to be true in my heart. And I think that’s often true of people that have some kind of like life message. They believe it to be true for everybody around them, but they can’t believe it to be true for themself.

[00:12:52] Pete Wilson: Wow. And what I got through that experience is I finally believed it for myself. And that’s changed everything and could not be more grateful for where my life is now. My relationship, my kids, the opportunity to get remarried and have a fourth. Now I have a daughter. I’m grateful, but man, it, it was a messy, messy process of transformation for me.

[00:13:15] Zach White: I had the privilege of seeing your beautiful daughter before we hit record today. And, Pete, it’s just amazing the redemption story of what she’s come through. Real quick, what prompted you to get the tattoo then, if it was before this, rock bottom moment? 

[00:13:31] it was always a message that was really, important to me.

[00:13:34] Pete Wilson: One that I talked about a lot, spoke about it at conferences and, at church and other places. This idea of anything’s possible. I really believe that, There were a couple phrases around. I used to always say, Everyone’s welcome because nobody’s perfect, but anything’s possible.

[00:13:50] And, uh, that, that idea, I, I believed in that. Again, I believed that for everybody around me, I talked about it, I wrote about it, but I, did not believe it for myself. And that process, that experience is what really helped it sink in from me. 

[00:14:06] Zach White: That’s really amazing how life, how God gives us the things that we need sometimes to, to become the vehicle that he wants us to be in the world.

[00:14:17] That’s great. So tell me, tell me for you, I remember in my own story after the divorce that I went through, does depression experiences and the days and months that followed some really dark, tough times. But a lot of people, and this was my story, you find yourself know. Intellectually that I need to take action and get out of this place.

[00:14:40] And it’s, I love your phrase, Get into a designed life. A created life. Instead of letting this default path that got me here, continue. Yep. I don’t know very many people who are in that place that wouldn’t agree with that statement intellectually. Sure. But getting yourself to do it is a whole different conversation and actually, getting up off the proverbial couch and taking action.

[00:15:04] So is there something for you, any moment or any catalyst that you remember where you, got out of that pattern of the negative thinking or the depression or the. Challenge of being in that place and said, Okay, it’s time. It was time to get going. what shifted or what caused the shift for you?

[00:15:22] one of the things I remember very specifically was, I was actually listening, I think it was a YouTube video. It was a woman named Byron Katie. And, she had this video where she was talking about this question of our thoughts essentially, is what she was talking about. And she talked about one of the most powerful questions you can ask is, is that true?

[00:15:41] Pete Wilson: And then she followed it up with the second question is, are you absolutely. That’s true. I I was like, That’s good, Huh? That’s interesting. I, and I started applying it to every thought that I had, my idea of walking into a grocery store and thinking that everybody was looking at me and judging me, I’d start to ask, is that true?

[00:15:59] And then I’d be like, Well, May, maybe it couldn’t be true. And I’d say, But do you know it to be absolutely true? And I’d be like, No, I don’t know. And it really helped me start to see that my life was gonna be moving in the direction of my most powerful thoughts. I, I don’t think I’d really ever connected before, how powerful my thought life was.

[00:16:19] so then my next question I would ask myself after I realized, Yep, my life is moving in the direction, my most powerful thoughts is, do I like the direction my thoughts are taking me? And the answer to that in that moment was absolutely no, I don’t like this. I. . I don’t like how I feel. I don’t like my lack of community that I have.

[00:16:38] Pete Wilson: I don’t like this depression that I feel every day. I don’t like the hiding. I don’t like it. I don’t like the direction my thoughts are taking me. So then the next logical thing is, well, we need to change your thoughts, Pete. You know, we, we gotta ask, we gotta think better thoughts, think more true things, more noble things.

[00:16:56] And that really for me, I think, was a huge turnaround for me to understand and begin to realize the power of my thought life and how it would impact me. 

[00:17:07] Zach White: This is huge. maybe to ex extrapolate on this idea a little bit, Life, Your life, my life, the engineering leader who’s listening right now, their life is moving in the direction of our most powerful thoughts.

[00:17:23] So for me, the first question that pops in my head hearing that is, what are my most powerful thoughts? Then, how do I get clear on what that is? What would you give someone, or how would you recommend. Explore that. If somebody, yeah, maybe this is the first time they’re hearing that idea, or they’re curious about like, Okay, so what direction am I actually going?

[00:17:45] How do you understand what that really looks like for you individually? What? What are my most powerful thoughts? 

[00:17:52] Pete Wilson: Yeah. it’s interesting because most people think, and this is true of almost every one of my clients, I’m sure it’s true of your clients, true of people listening to this podcast right now.

[00:18:01] We think our problems are out there, right? They’re out there in the world. I, I don’t have enough money to pull off what I wanna pull off. I don’t have enough education. I’m too old. I’m too young. I mean, we think all of our problems, it’s something out there. the reality is it’s almost always here in our.

[00:18:17] that’s where it really resides. And so there’s a little tool that I use that really helps me and it’s perfect cause it really combines, the two things we’ve talked about so far, the creative life versus default life. And that this idea that your life’s moving in the direction, most powerful thoughts.

[00:18:34] So there’s three questions that I ask myself every single morning. Oof. And I’ve been working through this for a while and this has been really helpful. So the three questions are this, How will I create myself? How will I create, others around me? And then how will I create the world today? Now, I know for engineers, this is gonna feel like a stretch, right?

[00:18:56] this whole idea of, your thoughts and starting your day in this way. But I walk through those three questions that the question of how do I create myself today is who am I as I show up, right? And I could start my day by. You know what, I’m, I’m not a good husband and I need to be a more attentive dad, my kids don’t listen to me or, uh, you know, I can spin off all these thoughts.

[00:19:20] Pete Wilson: Sure. That we often do when we start a day, how stressful today’s gonna be. You’re not gonna be able to solve this or figure this out. but I choose every morning when I ask that question of, how do I create myself today? I’ll literally write out. How I’m showing up, how I’m showing up to my work for that day.

[00:19:36] You know, I’ll often write things like, I am really good at coaching, high achieving people, I’ll write things down. Like I love being a great husband and dad. Like I really do, I love being a dad. I love being, a husband. and I’ll just kind of write out again how I wanna show up.

[00:19:54] Cause what I’m doing in that moment is I’m, again, I’m creating those thoughts. Around who I am. Mm-hmm. and my life is gonna move, in that direction. and then again, I ask myself, how am I creating others around me? And again, for some people this feels like a stretch cuz you’re like, Well, I can’t change them.

[00:20:11] And you’re right. You can’t change them, but you can completely change how you interact with them. Yes. Which then changes. And so let’s take today for an example. I could have been approaching this podcast. And thought, Oh man, I’m, I’m so nervous. maybe Zach’s gonna ask me, you know, really hard questions and I don’t know the answer to it.

[00:20:32] And I start getting nervous and I start spinning off all these worst case scenarios or like today. Cause I, when I talk about how am I treating others around me, I look through my schedule for the day. Right. I see. Oh, I’ve got a, podcast interview with Zach today. man, I’m excited about that. I’ve done some research on you and on the podcast.

[00:20:51] I love the work this guy’s doing. This guy. For me, right? He wants me to succeed. He wants me to do well. Like he’s invited me to be on this podcast. he believes in me so much, so why would I have any nervousness about it? Right? And literally go through that. I think about my wife and who she is and who I want to be, how I wanna interact with her.

[00:21:11] And then the, that third one, how I create the world today, I think’s a really important one too, because I believe that life is happening for me. Mm-hmm. not to me. Right. Good. And so I can sit there and spin off all kinds of worst case scenarios. The economy’s terrible politics are outta control. Sure. Or. I can choose to say, You know what?

[00:21:31] I’m gonna create the world I live in. And I live in a world where the vast majority of people are doing the best they possibly can. I believe I have a friendly God who loves me. and I just kind of think about this world that I’m living in and the world that I want to live in because again, I’m trying to create my thoughts around, the kind of life that I wanna live.

[00:21:53] Zach White: One of the things about this whole exercise I absolutely love, is that we’re going back to what I believe is the root cause of what ultimately creates, which is our thoughts. Mm-hmm. And so engineers, we do this at work all the time, Pete, and I see it with my clients where. your product.

[00:22:15] I was a Whirlpool engineer, so I’ll use an appliance example. You know, the dryer is failing a really critical test, and if we don’t solve this problem and. Come up with a solution to pass this test and we’re not gonna launch the product on time. And that’s really bad news. And externally, there’s this symptom, this result that is really negative, for failing the test.

[00:22:37] And what do engineers do? We immediately dig in and start saying, Well, alright, here’s the data from the test, the results. But what led to that and what are the inputs and what’s the. Facts about the design and what are the things we can control, Things that we can change, and let’s go change those things and then we’ll run that test again.

[00:22:55] And this is every day, right? We get used to this. Yeah. And then we forget that you can do the exact same thing. Or maybe I shouldn’t say forget. We’re unaware that we can do the exact same thing in our life. I don’t like the results. I’m getting , my income, the quality of my relationships, the way that I feel when I get home from work every.

[00:23:13] we don’t realize that you can reverse engineer those results the same way. And if you back it up and back it up to the actions that you’re taking and the way you’re showing up to those actions, and then ultimately starting with the way you’re thinking. such a powerful exercise. Can you unpack for sp, I mean, as a coach you have clients from all different domains, and of course, you know, I work exclusively with engineering leaders, but you have the luxury of kind of seeing a a different audience and not only an extremely high achieving audience with the types of clients you support, but in all different worlds.

[00:23:48] Zach White: And can you just speak to, does it matter or is there a difference between the type of work or the types of goals that people are pursuing as to whether or. life coaching is effective, or do you change the approach? Just kind of tell us a little bit about what you’ve seen in the work you do. 

[00:24:07] Pete Wilson: Yeah, I, I think it’s effective for anybody and everybody.

[00:24:11] There’s no doubt about that. for the average person, they’re at point A, they want to get it to point B. one of the things I love about a lot of the life coaching I do, it is probably true of you as well. It’s centered a lot around goals. Right. I think goals are just the fastest way to get from where you are today to where you wanna be.

[00:24:30] And, and so I do, I think life coaching is extremely effective for anybody and everybody. I do think that there’s some unique problems that come. With people who, no matter what it is they do in their particular world, the higher they go up the org chart. the more power they get, the bigger the title, bigger the office, whatever you wanna phrase it.

[00:24:50] Yeah. a unique problem usually settles in, which is the higher you go in any organization. The fewer people that you have that you can be honest with about life. Yes. And you know that you sense that. Right. And at the same time, what is also happening is there’s fewer people who actually feel like they can be honest with you.

[00:25:12] And so now you’re set up. Not saying it doesn’t guarantee that you’re gonna have major issues, but it’s the perfect setup when you feel like there’s very few people you can actually speak truth to, because you’re in a position of power, you gotta be careful, you know, people could take advantage of that, of your weakness.

[00:25:31] and at the same time, there’s fewer people who, feel like they can actually say honest things to you. It’s just, it’s a recipe. For a life of isolation, which then usually leads to all kinds of, of other things that will happen in your life. So that’s why I, I really, I’ve always seemed to be attracted towards people who find themselves in that position.

[00:25:53] Pete Wilson: Yeah. The rest of the world looks at them and says they’ve got it made. My experiences, they usually don’t, They’re usually very lonely, scared and feel like it could all cave in in a second. Have, have you 

[00:26:05] Zach White: seen that? Yeah. Wow. I, The way you framed it is so perfect and I have seen it. , with my higher level, you know, VP or CTO level clients and even in the world as I, do coach training and interact with other coaches and just have this exact conversation you and I are having.

[00:26:21] It shows up in every domain. It’s not unique to engineering or athletics or Yeah. entertainment or any, any vertical. But I love how you’ve put that just as you move up in whichever hierarchy you’re in, it’s career, cool, if it’s. Entertainment and movies, if it’s sports. When you get to higher and higher levels, fewer people you can be completely honest with, and the fewer people who are willing are courageous enough to be completely honest with you.

[00:26:53] Yep. Leads to a real challenge. That’s a hundred percent true, and I think it starts sooner than people. it’s not like only the top, top people. I see it with director level engineers, you know, their teams underneath them, one or two levels down. That senior engineer on the team is afraid to share the whole truth because they don’t want the wrath of that person or to be seen as a low performer or you name it.

[00:27:16] So I think it’s something to watch out for. Pete, I’ll layer in another dimension to this, and you and I talked about this before the, podcast today. What I’ve experienced as an engineer in my own journey with coaching was that my ego really got in the way of me asking for help before it was too late and I hit rock bottom, and it wasn’t until I was, dragging my face along the rocky bottom of my life that I actually got up and asked for help.

[00:27:45] so what would you say to somebody. Really interested in accelerating progress from point A to point B in their life. But currently the belief, the thought that they have is I can do that on my own. 

[00:28:00] I would say if you can do it on your own, do it. But my guess is that you probably can’t, or won’t, and they should hire you, Zach.

[00:28:09] Pete Wilson: That’s what I would say, that they, they should hire you to help them get from point A to point B. That’s, But I, no, I, I do, I, I believe so much in coaching. If I could go back in my life, I would’ve hired a. Much earlier than I did, because, uh, I’ve just found it to be incredibly helpful for a lot of the reasons that, that we just talked about, can, can you do it on your own?

[00:28:31] I mean, sure, maybe some people can, You could also completely remodel your house on your own if you wanted to, but don’t know if you know you can, you have the skill set or the time to learn that skill set, to do all that. Just in, in life. Sometimes I have found, Getting someone who has professional expertise in a particular area, whether it’s plumbing, electricity, working on your car.

[00:28:56] same true with life coaching. You might, through trial and error, be able to figure it out. but I know very few who ever figure it out on their own. A lot of us didn’t grow up necessarily in homes where our parents were a mentor or gave us the skill set to even know how to work through problems like that.

[00:29:14] Pete Wilson: And so I’ve just found that having somebody who can objectively help you look at your life Yeah. And help you make those right next moves, just gives you an extra confidence that is so helpful and it, and it speeds that process up, so 

[00:29:30] Zach White: much. Hmm. Yeah, I agree with that and totally did not set you up to recommend o Waco for coaching, but I appreciate the comment Pete

[00:29:38] Um, the, the other thing I’ll add to this, and I’m curious if you would agree or if you see this with your clients, I assume the answer’s yes, but I relate back to my old days playing high school baseball I loved being a part of that team, et cetera, but I can tell you with a high degree of confidence that even though being athletic and getting in.

[00:29:57] Is something I always had cared about. If I hadn’t committed to being on that team, there’s no way I would’ve gone to the gym twice a day every day and run nearly as hard as when my coach was the one blowing the whistle. And there’s something about being in an environment where you have a coach who helps you set a standard for your.

[00:30:17] And blows the whistle to help you get going. And just the fact that they’re there, you run a little harder. And the fact that you know you’re accountable to that person, you give a hundred percent or 110%. And for me, it’s not even like, I have to go as fast as humanly possible to my goals. But it feels good to run at a hundred percent.

[00:30:38] Absolutely. Absolutely. And that’s why I tell people like, Yes, you will get there faster. That’s another bonus. But to me it’s not just the bonus of time, Cuz there’s always then another goal, right? We can talk about that all day, but it’s. It’s the experience of actually giving my all That’s so rewarding.

[00:30:54] I just, yeah. That’s why I still, I have two coaches right now for different areas of my life I just love being pushed, 

[00:31:00] Pete Wilson: so, Yeah. I don’t know. Absolutely. And it’s, you know, I, I get it. I, I understand why some people drag their feet on it, there’s usually some kind of investment that’s required.

[00:31:08] Right. it’s funny how we all tend to count the cost. A book or we count the cost of a conference, or we count the cost of coaching, right? But no one counts the cost of being stuck in the exact same place you are right now, a year from now, That’s a big cost, a whole year of your life and you’re stuck in the same spot, spinning your wheels, so it really just comes down to how you want to invest, where you want to invest and what’s really most important to you.

[00:31:36] Zach White: Hmm. Pete, before we wrap, I wanna get curious about one thing. You being a visionary, goal-oriented leader yourself and supporting your clients in. , what is the most courageous, ambitious goal that you have in your world right now? 

[00:31:53] I think for me right now, it’s writing a book to my kids. So I’m in that process of trying to write a book, just based around life lessons.

[00:32:02] Pete Wilson: I’ve written four books and, but I haven’t written in 10 years and. Completely given up. I told myself I was never gonna write again. Even though I have anything’s possible tattooed on my arm, I as I’m not doing it like that, that part of my life’s over. I’ve really felt recently, that I, I needed to go back and kind of again, look at that thought of that thought of saying, You’re never gonna write again.

[00:32:26] And so I removed that. You’re never gonna write thing about a year ago. And ever since then, I’ve, I’ve got more ideas for books than I have time to write. But the most important one of me is just kind of a life lesson book, that I wanna write to my kids. To hopefully, uh, kind of coach them through some scenarios where they don’t have to repeat all the same, uh, mistakes that I’ve made in my life.

[00:32:50] Zach White: I love that. And if I’m not mistaken, Pete, you are addicted to hope. And I am, I hope as well that this becomes something extraordinary. It sounds awesome. Thanks for sharing that. Thank you, Pete. If, if the engineering leader listening wants to tap into this work, I know you’ve got amazing courses, amazing books, and some limited opportunity to actually work with you in, coaching.

[00:33:12] Where can people go to find out all about who you are and, and where you’re at to get. 

[00:33:18] Pete Wilson: Yeah, probably the easiest thing is the website. It’s pete wilson.co. It’s not.com. We couldn’t afford.com, so we got Pete wilson.co, and Instagram. I, I do all the different social stuff, but Instagram is by far my favorite, so it’s just p Wilson on Instagram.

[00:33:35] It’s another great place. Awesome. 

[00:33:37] Zach White: Well, we’ll make sure the direct links to those are in the show notes for everybody who wants to check out Pete and honestly cannot. Recommend highly enough that you engage with Pete’s work. Follow him on Instagram, and if you wanna accelerate in your life from point A to point B, please connect with Pete and get support on it.

[00:33:55] You will never regret that. So, Pete, thanks again for being here today and I wanna end in the same place we always do, and you being a coach and having this heart, I’m excited to hear your thoughts on it. But great engineering, you know, great coaching. Has in common that questions come first and the answers follow.

[00:34:15] And we tend to look at the answers in our life, the results that we’re getting, and we wanna change those things. We talked about that a lot today, but it begins with our questions. So for the engineering leader who’s been with us in this conversation, who wants to experience that anything’s possible life?

[00:34:32] What would be the best question you would lead them with today? Hmm. 

[00:34:36] Pete Wilson: Can I give. Absolutely. All right. I’ll break the rules. That’s fine. Uh, the first one kind of fits the content, right, of what we just talked about, and it would be, you know, we’ve already mentioned this, but it would be, do you like the direction of your thoughts?

[00:34:51] do you like the direction your thoughts are taking you in your life? Hmm. I think it’s a really important question to ask, and then if the answer is no, you. Realize, Okay, that’s, that’s an area of my thought life and the power of my thoughts is an area I probably need to lean into. Get some coaching, read a.

[00:35:08] Pete Wilson: on it, do something about that. But another powerful question I love to ask my clients on a regular basis is, what’s one thing right now that you’re tolerating that you know you shouldn’t, you know, it could be something to do with how you invest your time. It could be a relationship, I really like asking that question. What’s one thing right now that you’re tolerating in your life that you know you shouldn’t,

[00:35:31] Zach White: I’m convicted by that question. Just hearing it right now. One thing that I’m tolerating that I know I shouldn’t, That’s powerful. Well, I hope. Pete, that everyone listening takes both of those to heart and takes action on it because it’s no good just to hear us talk about it if we don’t do something with it.

[00:35:50] But thank you again for your generosity, just the work that you do in the world. Wanna acknowledge you, Pete, for just, leaning into a redemption story and changing the world with who you are. Still to this day. It’s awesome. So I appreciate you and thanks. 

[00:36:05] Pete Wilson: Thank you. I appreciate that. I say the same to you as well.

[00:36:08] I love the work that you’re doing. You’re helping a lot of people. I love the niche you’ve got here you’re creating an amazing community and helping a lot of people in the process. So thanks for using your pain and turning it into a purpose. it’s really cool to watch what you’re doing.

[00:36:22] I can’t wait to see what’s next. 

[00:36:24] Zach White: Likewise. Let’s do this,

 

Back to ALL EPISODES

The post 230: The Hidden Cost of Being a High Achiever appeared first on OACO.

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Artificial General Intelligence and Sentient AI

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Understanding the difference between artificial intelligence, general intelligence, and consciousness, and what the next decade might actually look like.

Artificial Intelligence has become part of everyday life extremely quickly. Whether we are using ChatGPT to write content, Microsoft Copilot to help with work, or AI-powered tools to generate images, videos, and even software, the technology is advancing at a pace that would have seemed almost impossible just a few years ago.

However, as AI becomes increasingly capable, two terms are starting to appear more frequently in conversations about its future: Artificial General Intelligence (AGI) and Sentient AI.

These terms are often used interchangeably, particularly in the media and on social platforms. The reality is that they describe two very different concepts, and understanding the distinction is important when considering where AI is heading.

AGI is about intelligence, reasoning, learning, and the ability to perform tasks across different areas. Sentient AI, on the other hand, raises a much deeper question about whether a machine could actually experience anything, rather than simply process information and produce an answer.

I find both concepts fascinating, especially when considering how quickly technology has evolved during my career. We have moved from computers that required explicit instructions for almost everything to systems that can generate complex content, reason through problems, and interact with us in remarkably natural ways.

But does being intelligent mean being conscious? Could a machine eventually understand that it exists? And perhaps most importantly, how close are we to either of these becoming reality?

Understanding Artificial General Intelligence

To understand AGI, we first need to look at the artificial intelligence we are using today.

Most current AI systems are examples of what is commonly described as Artificial Narrow Intelligence (ANI). These systems are designed or trained to perform particular categories of tasks, even when those categories are extremely broad.

For example, AI can identify objects in photographs, translate languages, generate software code, analyze medical images, and answer complicated questions. Some systems can perform several of these tasks simultaneously, which is why modern AI feels considerably more capable than earlier generations.

However, impressive capabilities do not necessarily mean that a system possesses general intelligence.

A model might solve a complicated mathematical problem yet struggle with a simple situation requiring everyday common sense. It might generate thousands of lines of working code but misunderstand an instruction that a human developer would immediately recognize as ambiguous.

Artificial General Intelligence represents the next proposed stage of AI development.

AGI generally refers to an artificial system capable of learning, reasoning, adapting, and performing a wide variety of intellectual tasks at a level comparable to humans. Rather than being limited to particular applications, it would be able to apply knowledge and skills across unfamiliar situations.

Imagine an AI system that could independently learn a new programming language, understand a business problem, develop a solution, test it, recognize mistakes, and improve its approach without requiring detailed human instructions at every stage.

Now imagine that same system moving into an entirely different discipline, such as engineering, scientific research, or financial analysis, and demonstrating comparable capabilities.

That ability to transfer knowledge and adapt across different domains is central to the idea of AGI.

There is an important qualification, though. Researchers do not universally agree on exactly what qualifies as AGI. Some definitions emphasize human-level performance across cognitive tasks, while others place greater importance on adaptability, autonomy, or the breadth of problems a system can solve.

This matters because we might not wake up one morning to discover that AGI has suddenly arrived. Instead, we may progressively develop systems that satisfy different definitions of general intelligence.

Google DeepMind has proposed a framework that measures AGI development across multiple levels of performance and generality, recognizing that intelligence is not necessarily a single milestone.

Why Today’s AI Is Not Necessarily AGI

One of the remarkable things about modern AI is how convincingly it can appear to understand what we are asking.

When interacting with a large language model, we can have detailed conversations, explore complicated technical problems, and receive explanations that feel remarkably similar to speaking with another person. However, there are still significant limitations.

Today’s systems can produce incorrect information with considerable confidence. They can struggle with unfamiliar situations, make reasoning errors, and require human verification when completing complex tasks.

Even systems designed to operate autonomously can encounter problems when working through extended sequences of decisions.

This becomes particularly important in professional environments. An AI system might be able to generate a PowerShell script, explain a Microsoft 365 security configuration, or recommend changes to a network architecture. But that does not mean it fully understands every operational consequence of implementing those changes.

A human architect considers business requirements, organizational culture, potential failures, security implications, and experiences gained from previous projects. AI can increasingly assist with these considerations, but consistently demonstrating comparable judgment across unfamiliar environments remains a challenge.

It is worth emphasizing that AGI does not necessarily need to think exactly like a human. A machine could achieve broadly human-level intellectual capabilities using entirely different internal processes.

The important measure is what it can reliably accomplish, rather than whether its internal mechanisms resemble a biological brain.

What Would AGI Actually Change?

If genuine AGI becomes possible, its impact could extend considerably beyond the productivity improvements we are experiencing today.

Instead of simply helping people perform tasks more efficiently, AGI could potentially undertake complex projects independently, moving between different areas of knowledge as required.

Consider scientific research. An AGI system might analyze existing research, develop hypotheses, design experiments, interpret results, and propose new directions for investigation.

In business, it could potentially understand an organization’s operations, identify inefficiencies, design improvements, and coordinate their implementation.

Healthcare, engineering, education, cybersecurity, and software development could all experience significant changes.

However, increased intelligence would also introduce new challenges. Systems capable of making complicated decisions independently would require appropriate governance, accountability, and safeguards.

We would need to think carefully about what decisions these systems should be allowed to make, how their actions are monitored, and who remains responsible when something goes wrong.

The transition from AI assisting humans to AI independently making consequential decisions may prove just as significant as the development of AGI itself.

Moving Beyond Intelligence: What Is Sentient AI?

This is where the discussion becomes particularly interesting.

While AGI focuses on what a machine can accomplish, sentience focuses on whether a machine can actually experience anything.

Sentience is generally understood as the capacity to have subjective experiences, particularly experiences that can feel pleasant, unpleasant, or otherwise meaningful to the entity experiencing them.

For humans, these experiences include things like pain, pleasure, fear, happiness, and sadness.

Consciousness is closely related but is a broader and heavily debated concept. It generally concerns subjective awareness or experience, while self-awareness refers more specifically to the ability to recognize oneself as an individual.

These distinctions are important because sentience, consciousness, and self-awareness are not necessarily identical.

Consider what happens when you accidentally touch something extremely hot.

Your nervous system detects the heat, your brain processes the information, and you instinctively move your hand away. But there is also the experience of pain. It actually feels like something.

A machine could be programmed to detect excessive heat and immediately withdraw a robotic arm. It might even announce that the temperature is painful or dangerous.

However, that does not establish that the machine experiences pain.

The difference is between processing information about an event and having a subjective experience of that event.

This is the fundamental question surrounding Sentient AI.

Could we eventually develop artificial systems that do not simply recognize emotions, describe experiences, or simulate human responses, but actually experience something internally?

At present, we do not have a scientifically accepted method for demonstrating that an AI system possesses subjective experience.

The Difference Between AGI and Sentient AI

One of the biggest misconceptions is that achieving AGI would automatically create a conscious or sentient machine. That is not necessarily true.

An artificial system could potentially possess extraordinary intellectual capabilities without experiencing emotions, feelings, or any form of subjective awareness.

Conversely, a system might theoretically possess some form of subjective experience without demonstrating human-level general intelligence.

The distinction can be summarized quite simply:

  • Artificial Intelligence (AI): Systems capable of performing tasks associated with human intelligence.
  • Artificial General Intelligence (AGI): Systems capable of demonstrating broad, adaptable intellectual abilities across many different disciplines.
  • Sentient AI: Artificial systems that genuinely possess subjective experiences or the capacity to feel.
  • Artificial Superintelligence (ASI): Hypothetical AI that substantially exceeds human intellectual capabilities across a broad range of domains.

Notice that these concepts are not necessarily sequential stages of development.

AGI does not automatically lead to sentience, and superintelligence does not automatically imply consciousness.

It is entirely possible, at least conceptually, that we could develop systems vastly more intelligent than humans that experience absolutely nothing.

Intelligence is about what a machine can do. Sentience is about whether there is anything it actually feels like to be that machine.

For me, this is perhaps the most important distinction in the entire conversation.

Can AI Become Conscious?

This question takes us beyond computer science and into neuroscience, philosophy, psychology, and our understanding of human consciousness.

The difficulty is that we still do not fully understand how subjective consciousness arises in humans.

We understand a great deal about neurons, brain activity, sensory processing, and the relationship between different areas of the brain. However, explaining precisely why physical processes produce subjective experiences remains an unresolved scientific and philosophical problem.

If we cannot fully explain how consciousness emerges in biological systems, determining whether something entirely different could become conscious presents an enormous challenge.

Some researchers believe consciousness may depend on particular kinds of information processing or functional organization. Under these theories, artificial consciousness may be possible if a system develops the necessary characteristics.

Others believe biological processes, embodiment, or mechanisms not yet understood may be essential.

Neither position has been conclusively established.

Research published in Trends in Cognitive Sciences in 2026 proposes evaluating potential indicators of consciousness based on established neuroscientific theories. This is an important direction because it attempts to move the conversation beyond simply asking AI systems whether they are conscious.

After all, an AI telling us that it feels happy does not prove that happiness is being experienced.

Likewise, a system stating that it is not conscious does not independently settle the scientific question.

We need more than convincing language to determine whether subjective experiences genuinely exist.

Why AI Can Seem Human Without Being Sentient

Anyone who has spent considerable time interacting with modern AI systems will recognize how natural these conversations can become.

AI can express sympathy, recognize emotional language, remember conversational context when memory features are available, and adapt its responses to different situations.

At times, it can genuinely feel like we are speaking with another person.

However, natural language is not reliable evidence of subjective experience.

Modern language models learn complex patterns and relationships from large quantities of information. Their responses can demonstrate sophisticated reasoning and context sensitivity, but this does not establish that they possess feelings or an internal conscious perspective.

The distinction matters because humans naturally attribute intentions and emotions to things that behave in familiar ways.

We already do this with animals, fictional characters, and sometimes even ordinary computers when they frustrate us.

As AI becomes more convincing, distinguishing between simulated emotional behavior and actual subjective experience will become increasingly difficult.

This is not necessarily evidence that artificial consciousness is impossible. It simply means that convincing behavior alone is insufficient to establish its existence.

How Close Are We to AGI?

Predicting the arrival of AGI is difficult, partly because experts disagree on its definition and partly because technological progress is rarely predictable.

Some researchers and technology leaders believe broadly capable AGI systems could emerge within the next few years. Others believe significant scientific breakthroughs are still required.

What we can establish is that AI capabilities have advanced considerably.

Stanford University’s 2026 AI Index Report documents continued improvements across scientific reasoning, mathematics, coding, and other technical benchmarks. Some frontier systems now match or exceed human baselines on selected challenging tasks.

However, these achievements should not be confused with reliable general intelligence.

A system can outperform humans on a demanding benchmark while still struggling with tasks that require adaptability, common sense, or sustained independent decision-making.

The September 2026 AI Impacts survey report, based on responses from 1,580 AI researchers collected in December 2024, provides an interesting perspective.

Its aggregate forecast placed a 50% probability on high-level machine intelligence arriving by approximately 2042, compared with 2047 in the previous survey. The survey used a particularly demanding definition involving machines performing essentially all tasks more effectively and economically than humans.

These predictions are not guarantees, and they do not establish when a universally accepted form of AGI will emerge.

There is also substantial skepticism about whether simply building larger versions of existing systems will be sufficient. A 2025 Association for the Advancement of Artificial Intelligence (AAAI) report found that 76% of respondents considered scaling current AI approaches unlikely or very unlikely to produce AGI.

My view is that AGI is a realistic possibility within the next 5 to 10 years, perhaps sooner under some definitions, but we should be cautious about treating any particular date as inevitable.

We might experience increasingly capable systems that automate substantial amounts of intellectual work long before researchers agree that AGI has actually been achieved.

How Close Are We to Sentient AI?

Sentient AI is considerably harder to predict.

There is currently no scientifically confirmed example of a sentient artificial intelligence system, and we do not have a universally accepted test that could establish when one has emerged.

This creates a fundamental problem with predicting timelines.

For AGI, we can at least evaluate performance through tasks, reasoning capabilities, adaptability, and reliability.

For sentience, we are attempting to measure something subjective, potentially without knowing exactly which mechanisms produce it.

We could conceivably develop AGI in the 2030s or 2040s without creating anything that experiences consciousness.

Alternatively, future research might reveal that certain artificial architectures already possess characteristics associated with consciousness, forcing us to reconsider our assumptions.

I would be extremely cautious about anyone claiming that sentient AI will arrive within five, ten, or even twenty years.

It may take decades. It may require fundamentally different computing architectures. It may prove impossible using existing approaches.

We simply do not know.

What concerns me more is the possibility that increasingly intelligent systems will appear conscious long before we develop reliable ways to evaluate that claim.

That uncertainty could create significant ethical and social challenges.

What Happens If AI Actually Becomes Sentient?

If artificial sentience were ever established, it would introduce questions far beyond technology and productivity.

We would need to reconsider how we define consciousness, intelligence, and potentially even moral responsibility.

If a machine could genuinely experience suffering, would we have an obligation to prevent it? If it developed preferences or self-awareness, would switching it off raise ethical concerns?

Would sentient systems deserve some form of protection, and who would decide what those protections should look like?

These are not necessarily questions we need to resolve for today’s AI systems, but they are worth exploring before the technology potentially forces us to confront them.

Importantly, intelligence alone should not automatically imply moral status. A machine capable of solving complicated scientific problems is not necessarily a being capable of experiencing harm.

Likewise, the ability to simulate emotional responses does not establish that a system deserves the same considerations as a conscious individual.

Any future decisions would need to be grounded in serious scientific research, rather than emotional attachment to convincing AI personalities.

What Should We Actually Be Preparing For?

Much of the public discussion about AI focuses on dramatic scenarios involving machines becoming conscious, surpassing humanity, or deciding that humans are no longer necessary.

While these questions make interesting discussions, I believe there are more immediate issues deserving our attention.

AI systems are already transforming software development, cybersecurity, education, business operations, and the way people interact with information.

Organizations need to understand how these technologies are being used, what information they can access, and what decisions they should be permitted to make.

Governance, privacy, security, reliability, and accountability are not problems that can simply be postponed until AGI arrives.

The challenge is making sure that increasingly capable systems remain useful, understandable, appropriately controlled, and aligned with the responsibilities we place upon them.

For people working in technology, that means continuing to develop our own understanding rather than assuming AI will eventually replace the need for technical knowledge.

In many ways, the ability to question AI-generated information, identify mistakes, and understand the consequences of automated decisions will become even more important.

Intelligence Is Not the Same as Being Alive

Artificial Intelligence has already changed how we work, learn, and create. I suspect the next decade will bring developments that make today’s systems seem relatively primitive.

We are moving toward AI that can reason more effectively, work autonomously for longer periods, and perform tasks that previously required substantial human expertise.

Whether these developments eventually satisfy the definition of AGI remains uncertain, but I believe we are much closer to broadly capable artificial intelligence than we were even five years ago.

Sentient AI is an entirely different question.

Creating something that can think, reason, and solve problems does not necessarily mean creating something that can feel, experience, or understand its own existence.

We may eventually discover that intelligence and consciousness are more closely connected than we currently understand. Equally, we may discover that machines can achieve extraordinary intelligence without ever possessing anything resembling human experience.

For now, the most important thing is to understand the distinction and avoid confusing impressive technological capabilities with evidence of consciousness.

I am excited about what lies ahead, particularly the opportunities AI presents for scientific discovery, education, and solving complex problems. However, I also believe we need to approach these developments with curiosity, responsibility, and a healthy degree of skepticism.

Because the question is no longer simply whether machines can become intelligent.

The much bigger question is whether intelligence alone is enough to make something conscious, and whether we would even recognize consciousness if we managed to create it.

That, to me, is where the future of artificial intelligence becomes truly fascinating.


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Snippets in Uno Platform Studio: Iterate on UI Fast

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Tooling Hot Design Uno Platform Studio
Key Takeaway

Snippets are pre-assembled XAML building blocks you drag onto the Hot Design canvas – so you and your AI agent can stop rebuilding solved UI problems and spend your effort on what is unique to your app.

Every app ever built likely has a login form. And a search bar. And a tab bar, a product card, a navigation drawer.

You know exactly what they should look like. You’ve built them dozens of times. So why are we or our Agents still building them from scratch?

Problem

The problem

The reality is, a surprising amount of UI work isn’t design at all. It’s re-building solved problems.

The old way was to copy a login form from the last project, rename things, fix the bindings, and nudge the spacing until it matched the new theme. Slightly different every time, and a little drift creeps in with each copy.

The AI-assisted way isn’t much better. Ask an agent for a login form and you get a perfectly reasonable one. Ask again next week and you get a different perfectly reasonable one. You’re spending time and tokens on a pattern that already has a good answer, and the result still needs review.

Think of it as LEGO. You can build a house one 2x4 at a time – every builder has. But if you’ve ever snapped on a pre-assembled wall section, window already in and door frame already hung, you know exactly how much time the loose bricks were costing you.

Right now, most of us are still building every wall from scratch. By hand, or by asking an agent to stack the bricks for us – slightly differently each time. So where’s the pre-assembled section for XAML?

Snippets

What Snippets bring to the table

That’s what Snippets are in Uno Platform Studio – pre-assembled sections of UI you snap onto the Hot Design canvas and customize in place. Not loose bricks, but a finished wall, a staircase, a whole floor plan – essentially, building blocks of your app UI.

Let’s unpack what’s on the shelf. Snippets live in the Hot Design Toolbox, at the bottom of the System tab, grouped into five categories:

CategoryWhat it holds
ComponentsButtons, forms, search fields, chips, and lists for common interactions
NavigationMenus, tabs, navigation bars, and drawers wired for app flow
SectionsHeaders, footers, side panels, and content blocks that give a screen structure
CardsGrouped-information layouts for feeds, dashboards, and detail views
Page LayoutsFull-screen responsive templates for common app screens

If it helps, envision Snippets like so - small sub-assemblies (Components), staircases (Navigation), walls (Sections), rooms (Cards), and entire floor plans (Page Layouts).

A snippet isn’t a single control. It’s a pre-composed, multi-element starting point – a sign-in form, a card, a whole responsive page layout.

Here’s how it works in practice:

  • 🖱 Drag it onto the Canvas, or into the visual tree in the Elements panel
  • 👆 Double-click it to add it as a child of whatever element you’ve selected
  • 🎯 Apply it – Page Layouts can be applied to an element you already have, instead of being added as a new child

When a snippet lands, its XAML is written straight into your file as a single atomic change. No design-time copy, no black box. It’s clean, editable XAML in your project, it works with MVUX and MVVM, and the layouts are responsive by default.

And because it’s LEGO, nothing is glued down. Every snippet is plain XAML in your project, so you can pop it apart and rearrange it however you like.

One detail to appreciate: snippets carry design-time sample content, so a list snippet renders sample items instead of an empty box. That sample content is excluded from the XAML written to your file, so your source stays clean. The Elements panel marks anything still carrying design-time values with a yellow dot, so you know what to swap for real data.

Snippets do adapt to what your app references – if one needs an optional library like Uno Toolkit, Material theming, or reactive extensions and your app doesn’t reference it, it won’t show up in the Toolbox. And Snippets ship as part of Uno Platform Studio Business, so check that your license includes them.

Productivity

How developers get to be more productive

The reality is, it simply doesn’t make sense to hand-write or hand-prompt a navigation drawer or a login page in 2026. So where does the time actually come back?

  1. You start with walls, not bricks. Apply a Page Layout, snap in a few Cards and a Navigation snippet, and you’re reviewing a real screen instead of staring at an empty Grid.
  2. Agents spend effort where it counts. Generation handles what’s specific to your application. Proven blocks handle what’s common to every application. Fewer tokens burned on boilerplate means more AI credits for the interesting problems.
  3. Consistency comes for free. The same search bar behaves the same way on every screen, instead of drifting a little with each regeneration.
  4. It slots into the Hot Design loop. Simple Theme sets the design constraints, Snippets supply the blocks that don’t need generating, Select-and-Prompt points the agent at the right element, and Previews let you check every state. Code, visual editing, or AI – the choice is yours, and Hot Design keeps them all in sync.

Pre-bundled app building blocks get you to a good starting point, to customize as needed – so creativity can be freed up for where it is needed. Applies to developers. Applies to AI agents.

Want to see Snippets in action? Here’s a walkthrough of building a custom login page for a travel app – fast:

Wrapup

Wrapup

Snippets are the pre-built sections Uno Platform developers have been missing – common UI patterns one drag away, so you and your AI agent can spend your time on the rooms nobody else has designed.

Open the Toolbox, scroll to the bottom of the System tab, and start snapping. We can’t wait to see what you build. Cheers developers!

The post Snippets in Uno Platform Studio: Iterate on UI Fast appeared first on Uno Platform.

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alvinashcraft
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Self-Hosting at Home With Cloudflare Tunnel

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Cloudflare Tunnel lets you share a web app from home, even behind CGNAT. Your server opens encrypted connections to Cloudflare, so you don't need your own public IP or router port forwarding. The app stays on your server, and its URL is public unless you add access rules.

This is my Beelink SER9 MAX, a mini PC I use as a Linux home server. I bought it barebones, so it came without RAM or SSDs.

I added 16 GB RAM and two 256 GB SSDs. Both refurbished. The whole build cost me about $500. I'm pretty happy with this, considering the current memory prices.

My Beelink SER9 MAX Linux mini PC resting in my hand. Adding RAM to my open Beelink mini PC, with one stick already in place.

Why Port Forwarding Won't Work for Me

At home, I can reach an app using the server's local IP. However, a friend on another network can't use that address.

Normally, I could forward a port on my router to the app. But I'm behind CGNAT: my ISP shares a public IPv4 address across several homes. There's another address-sharing layer at the ISP, and I don't control it.

A port forward on my router only handles my side. It doesn't make that shared public IP send requests to my home.

I also don't have a static IP. Dynamic DNS can keep a name pointed at a changing IP, but it can't get through CGNAT on its own.

A tunnel lets my server connect out, then carry web requests back in. That gives me a way to share an app without asking my ISP for a public IP.

My Server Opens the Connection

I'd run cloudflared, Cloudflare's open-source tunnel connector, on my Linux server. It runs in the background, either as a service or in Docker.

Its job is to open encrypted connections to Cloudflare and keep them open. Outbound means my server starts those connections. Requests and replies can still flow both ways.

I'd map api.example.com to http://api:8080 on my Docker network. When a web request needs my app, Cloudflare sends it through the tunnel. cloudflared passes it to the app, then sends the app's reply back through Cloudflare.

That extra hop can add latency, though cached files may load faster. I'd measure from where my users are.

Visitors use a normal browser, with no need to install cloudflared. My API's port can stay private.

A Linux home server behind CGNAT opens an outbound tunnel. Cloudflare sends web requests through it without router port forwarding.

My router can block new inbound web connections. If my home IP changes, the tunnel can reconnect. The domain still points to Cloudflare.

I could use this to share a small web app or receive a webhook from a service. The app still runs on my mini PC.

Tunnel is free, though a domain and power still cost money. If my home connection or power goes down, visitors can't reach the app. I've got a UPS, so that adds some redundancy.

This isn't so important since I'm not running anything mission critical. But keep this in mind if you want to give self-hosting on your own infra a try.

Why Hiding an IP Isn't Enough

If you have a public server, you may already use Cloudflare as a reverse proxy. It forwards web requests to your backend, or origin, while your domain points to Cloudflare's IPs.

But your server may still accept direct requests. Someone who knows its IP can skip Cloudflare and its rules by sending the right hostname.

Requests to an open origin IP can skip Cloudflare and its rules.

Old DNS records and other apps can leak the IP. I'd want my server to block direct web access even if someone finds it.

Tunnel gives Cloudflare a way to reach the app with those public ports closed. I'd still need to close the old web routes myself. I'd test IPv4 and IPv6 from outside, and keep a private way to log in.

It won't hide the IP used by other traffic from my server.

Who Can Read the Traffic?

HTTPS ends at Cloudflare, so Cloudflare can read the web traffic. The tunnel is encrypted too, but it's a separate link. I'd need to trust Cloudflare with that data.

The last step, from cloudflared to http://api:8080, uses plain HTTP. If that crosses a network I don't trust, I'd use HTTPS and check its certificate.

Cloudflare reads HTTPS traffic and can check Access rules. The app still checks what each user may do.

The public URL is still open to visitors. For my own admin page, I'd add Cloudflare Access to let only approved users reach the tunnel. I'd also set cloudflared or the app to check the Access token.

A public API can keep its own login system. The app still needs rules for what each user can do. Being signed in shouldn't let you read someone else's data.

What I'd Choose

I'd start with what I want to protect, and from whom. That's my threat model.

For my home lab, the main benefit is being able to share an app at all. Tunnel gives me a public URL without a port forward or a static IP.

Cloudflare's DDoS protection and Access may also help if you have a public IP. Small sites can be targets too.

But a tunnel alone can't stop a flood of requests sent to a known home IP from filling the internet link.

If I don't want Cloudflare to read the traffic, I could rent a VPS. It could pass TCP port 443 through a WireGuard VPN to Traefik at home.

With TLS passthrough, HTTPS stays intact until it reaches Traefik. If I end HTTPS on the VPS instead, it can read the traffic.

I'd keep my home IP out of public DNS, but the VPS host could still see it. This also means a server bill, patches, possible bandwidth fees, and checking its DDoS limits.

If your setup already meets your needs, there's no need to replace it.

For just my own devices, I'd use a private Tailscale network instead.

I'm releasing Pragmatic Self-Hosting next week. If you've been thinking about running your own apps, I'll share the details when it launches.

Thanks for reading.

And stay awesome!




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Strengthening App Review Guidelines against nonconsensual intimate imagery and bait-and-switch apps

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The App Review Guidelines are a core part of the safe and trusted experience that the App Store strives to offer users around the world — and the foundation of that trust is clear standards that are consistently enforced.

As outlined in our App Review Guidelines, pornographic material has long been prohibited on the App Store — this includes apps that generate nudity or sexually explicit imagery, such as “nudification” apps that create sexually explicit images of real individuals without their consent. Apps that host user-generated content are required to filter objectionable material, give users a way to report offensive content, and let users block abusive accounts. Apps containing hidden or undocumented features are also prohibited on the App Store, including apps that misrepresent their purpose during review and only reveal harmful capabilities — such as “nudification” — after approval, a tactic commonly known as bait-and-switch.

We want great apps and the innovative developers behind them to succeed on the App Store, and as new risks and novel user experiences emerge, we evolve our App Review Guidelines to maintain the trust of users and developers alike. Today we’re publishing updates that strengthen and extend the existing App Store protections, continuing to build on our long-held standards for privacy, quality, and safety.

For complete details, see the App Review Guidelines.

Changes

1.2: Content moderation requirements now explicitly cover nonconsensual intimate imagery — including imagery generated using AI tools — as content that apps must proactively prevent and remove from their platforms. Developers who fail to implement adequate safeguards — or don’t remedy violations after notice — risk violating the Developer Code of Conduct and being removed from the App Store.

2.5.19: This rule clarifies our longstanding prohibition on apps misrepresenting what they do during the App Review process and then changing after approval — for example, adding features or functionality that weren’t included in the version of the app that was submitted to App Review. Apps found engaging in this conduct are subject to removal from the App Store and removal from the Apple Developer Program.

Section 5: The App Store has always prohibited apps that facilitate human trafficking or the exploitation of children (including child sexual abuse material). When we find instances of apps containing such content, we remove them from the App Store. We’ve updated Section 5 of the App Review guidelines to make clear that apps with such content will be removed from the App Store and blocked from alternative distribution.

We’re committed to keeping bad actors off the App Store, with established processes in place to review and act on apps that violate our guidelines. Last year, we prevented over 150K apps with safety issues from reaching customers and terminated over 193K developer accounts for engaging in fraud and abuse. These violations trace back to malicious actors — in some cases coordinated fraud operations — working to conceal harmful content that only becomes active once an app is approved, and as their tactics evolve, we continue to evolve our own tools and resources to prevent and catch this kind of behavior even faster. We do not hesitate to remove apps, and terminate the developers behind them, when they violate these guidelines.

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Daily Reading List – October 16, 2026 (#890)

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I’ve been home for a few weeks, which has been nice. Next week starts a run of four trips in four weeks. Next week, I’ll be up in Sunnyvale for an Agentic AI event. GitHub Universe the week after, Google corporate stuff after that, then a week in Japan.

[blog] How AI has changed my engineering leadership role. This should register with you if you’re a manager. If not, it might be worth asking why.

[blog] state of agentic coding #11: the curiosity test, lisp, and labs that can’t fail. Hard truths, feels accurate. You have access to the same tools, apps, and hours-in-the-day that the world’ best innovators do. What are you doing with it?

[blog] Context Inertia: When Agents Won’t Let Go. Does your agent or LLM act like a dog with a bone? Here’s a path, and it won’t deviate? Drew gives that a name, and talks about ways to mitigate. One way is to simply watch what’s going on and step in.

[blog] Setting Up an Antigravity Workspace for Multiple Conversations. I like seeing how people personalize their own setup. You may not have the same use case or style as Mete, and that’s ok. We’ll tailor our environment to what works for each of us.

[blog] Day 0 support for Reflection’s Beam on Google Cloud: 5x faster perf with llm-d and NVIDIA Dynamo. Super impressive model (see this great post about it from HuggingFace) and we’ve done some work with them to optimize it on Google Cloud.

[article] Trends #12: We ship 3x more code and review it the same way. Good roundup of recent trends, with useful commentary.

[blog] Evaluating AI agents: moving past the vibe check. Assemble something or buy something, but figure out how to invest more into building evals for your agents.

[blog] Interactive refactoring in gopls. Pretty slick. Human developers will love this, and I can imagine this being useful to coding agents in some way too.

[blog] Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta. The Hugging Face blogs are always better than the vendor ones. Here they dig into this impressive open-weight US model.

[blog] Bringing the magic: Google breaks open a bottleneck in quantum computing. Whether it’s flying cars or quantum computing, I’m impressed by things I can barely understand.

[youtube-video] Every app on Earth is now open source… whether it likes it or not. We can reverse engineering most any software now? Um, what does that mean? Probably a lot.

[blog] More Agents, Same Mythical Month. Your agent teams may look suspiciously like your existing org structure. Here are some things to consider.

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