文字起こし 🔗
WEBVTT
00:00:14.880 --> 00:00:23.280
Welcome to the next chapter Conversations, a podcast about real life stories from people designing a meaningful second act or retirement.
00:00:24.320 --> 00:00:29.519
My guests will talk about inflection points and the paths they took to their next chapters in life.
00:00:30.719 --> 00:00:36.960
The goal for the podcast is to create more dialogue and build community around the R word.
00:00:37.759 --> 00:00:43.920
A word that was really hard for me to wrap my head around when my own journey into my next chapter began.
00:00:44.560 --> 00:00:48.320
My guest is a founder and pioneer in the software industry.
00:00:48.560 --> 00:00:53.439
He's credited with being the co-founder of two successful data management companies.
00:00:53.600 --> 00:01:02.240
For our technical listeners, he's an expert in Hadoop, HBase, and MapReduce with a specialty in open source development.
00:01:02.479 --> 00:01:13.519
For those of you that aren't techies, Map Plus Reduce can be used for complex problems, allowing you to break down large quantities of data into smaller consumable blocks.
00:01:13.680 --> 00:01:21.680
It provides reduced computational time, filtering out unwanted data, and allows you to analyze large data sets very quickly.
00:01:21.920 --> 00:01:28.799
Owen and I met about 10 years ago when he was principal engineer, and I was the human resources partner for him and his team.
00:01:28.959 --> 00:01:33.519
Owen is passionate about developing scalable and reliable big data technologies.
00:01:33.680 --> 00:01:46.319
I admired him for many things, but of particular note was his passion for distributed systems and ensuring our solutions are trustworthy, highly valued in the industry, and to our customers.
00:01:46.640 --> 00:01:53.359
I also appreciated that Owen is a very smart man and he helped me understand the business.
00:01:53.519 --> 00:01:57.359
I am not a math person, I'm more of a psychology and communications person.
00:01:57.599 --> 00:02:03.280
He would draw out and explain to somebody that is not really good with that stuff just how the business works.
00:02:03.359 --> 00:02:05.599
And I always really appreciated that about you.
00:02:05.680 --> 00:02:06.959
So thank you for that.
00:02:07.200 --> 00:02:11.520
I've asked Owen to join the podcast to share his story about his next chapter.
00:02:11.680 --> 00:02:15.120
I'm curious to hear what he's learned and can share with our listeners.
00:02:15.360 --> 00:02:17.520
Welcome to the podcast, Owen.
00:02:17.759 --> 00:02:19.599
Thank you for being with us today.
00:02:19.840 --> 00:02:22.400
Let's begin with you telling us about yourself.
00:02:22.800 --> 00:02:33.199
I was a co-founder of Hortonworks, was one of the first committers on the Hadoop project, which is an open source distributed big data platform.
00:02:33.360 --> 00:02:36.080
It's probably the canonical big data platform.
00:02:36.240 --> 00:02:36.319
Yeah.
00:02:36.560 --> 00:02:39.360
The one that led to everything being in Java.
00:02:39.599 --> 00:02:40.879
I'm passionate about software.
00:02:41.039 --> 00:02:43.280
Actually, both my parents were programmers.
00:02:43.520 --> 00:02:46.639
They both started really early.
00:02:46.800 --> 00:02:49.120
They met on the Apollo project.
00:02:49.360 --> 00:02:55.039
And at that point, there weren't university programs that had computer science in it.
00:02:55.199 --> 00:02:59.680
So NASA took physical scientists and trained them how to use computers.
00:02:59.919 --> 00:03:08.479
My dad was a physicist, my mom was a chemist, and they learned computers working at NASA, and that's when they met each other.
00:03:08.800 --> 00:03:09.360
Wow.
00:03:09.599 --> 00:03:10.159
Wow.
00:03:10.400 --> 00:03:12.000
So it's in your DNA.
00:03:12.400 --> 00:03:14.400
I'm a second generation programmer.
00:03:17.919 --> 00:03:20.080
Well, do you want to tell us your age?
00:03:20.479 --> 00:03:20.960
50.
00:03:21.360 --> 00:03:21.680
Okay.
00:03:21.840 --> 00:03:27.919
How long you've worked, since what age, and then tell us a little bit about the last full-time company where you worked.
00:03:28.319 --> 00:03:28.639
Okay.
00:03:28.800 --> 00:03:34.080
I graduated from UCLA and then I went to UC Irvine for my PhD.
00:03:34.560 --> 00:03:42.159
I was working the whole time through grad school, although most of it working for my research advisor.
00:03:42.400 --> 00:03:49.039
I was working at LinkedIn for the last three years, which actually was down from where I was at Hordeworks.
00:03:49.199 --> 00:03:56.159
I took a reduction in title because the work was interesting and the pay was good, and the title didn't matter as much to me.
00:03:56.400 --> 00:04:00.960
Part of the story of how I got to Hordeworks was through Yahoo.
00:04:01.120 --> 00:04:06.560
But when I went to Yahoo, I had a competing offer from Google.
00:04:06.879 --> 00:04:17.600
And the Google offer was a better financial offer, but Google wouldn't tell me which team I'd be working with, what technology I'd be working on.
00:04:17.759 --> 00:04:25.120
They were going to decide that once I accepted their offer, where Yahoo is like, you'll be working with these people on this subject.
00:04:25.360 --> 00:04:30.639
And I decided that was more important to me than the better financial offer from Google.
00:04:30.800 --> 00:04:32.639
So I took the Yahoo offer.
00:04:32.800 --> 00:04:39.920
Now, Yahoo, what they wanted was the work that directly led me to working on Hadoop.
00:04:40.160 --> 00:04:44.560
And then tell me the story about leaving Yahoo and being uh, you know, founder.
00:04:45.360 --> 00:04:45.680
Okay.
00:04:46.240 --> 00:05:02.240
So the the story of us launching Hortonworks, basically, Rob Beardon was at Benchmark Capital, one of the VC firms, and he wanted to get invested in big data.
00:05:02.480 --> 00:05:14.319
So he talked to the big data companies that were out there, which at that point were MapR and Cloudera, and
Load full transcript
he realized that neither of them was driving the technology themselves, right?
00:05:14.480 --> 00:05:18.879
They were using the technology that was being pushed by Yahoo.
00:05:19.279 --> 00:05:28.959
So a very long process of negotiating between us, Yahoo, and Benchmark to spin us out.
00:05:29.199 --> 00:05:32.800
We started with 22 of the Yahoo engineers.
00:05:32.959 --> 00:05:37.360
They made it a critical item to get security in there.
00:05:37.680 --> 00:05:38.160
Yeah.
00:05:38.399 --> 00:05:47.360
Um, when you think about AI now and you having to distinguish between a real person and a bot, what thoughts do you have about that and those challenges?
00:05:47.759 --> 00:05:49.519
Security is always hard.
00:05:49.680 --> 00:06:04.560
I knew the security stuff was actually working when there was a system that I was trying to work on, and I couldn't cut a corner that I traditionally cut by pretending to be someone else to fix some permissions that had gone wrong.
00:06:04.800 --> 00:06:07.120
And I was like, oh, darn it.
00:06:08.000 --> 00:06:09.839
This stuff is actually working now.
00:06:10.079 --> 00:06:10.720
Yeah.
00:06:11.199 --> 00:06:24.639
But computers have often led to this kind of dilemma of needing to figure out who someone is and making sure that people don't try to use more permissions than they have, right?
00:06:24.800 --> 00:06:30.000
So security and usability fight each other when we're designing systems.
00:06:30.160 --> 00:06:35.360
So it's important to make sure the system stays usable, but that you can trust it.
00:06:35.600 --> 00:06:52.160
The problem with the AI stuff, especially now, is that it looks enough like what a human would produce that it makes it easier for people who are trying to pretend that they're a person to easily generate lots of bad information.
00:06:52.480 --> 00:07:02.240
For example, there was a government that wanted to get feedback from its users and basically was using how many distinct letters did they get, right?
00:07:02.319 --> 00:07:08.639
So they would check to see if people are using form letters and just sending them out, and that would count, but not for as much.
00:07:08.879 --> 00:07:15.199
The problem is with AI, it's easy to have one person generate a thousand different-looking messages.
00:07:15.600 --> 00:07:18.319
I think a lot of people have a lot of fear about it, right?
00:07:19.360 --> 00:07:20.319
There is a lot of fear.
00:07:20.639 --> 00:07:31.680
There's a lot of fear about it, and and not only jobs, but people being irrelevant, and how is the next generation going to get those entry-level jobs?
00:07:31.920 --> 00:07:42.800
And actually, it's the jobs are important, but even more important are the relationships that you form early in your career with people that help you.
00:07:43.040 --> 00:07:46.240
And you build up that you build up that trust and rapport.
00:07:46.720 --> 00:07:50.800
And later on down the road, you meet them or they help you, or you help them.
00:07:50.959 --> 00:07:55.439
How are those new college grads actually going to get employment?
00:07:55.759 --> 00:07:59.839
And I think we're starting to see some of that, or at least people are saying that it's out there.
00:07:59.920 --> 00:08:01.279
I'm not an expert in it.
00:08:01.439 --> 00:08:05.839
So yeah, there are a lot of challenges right now with it.
00:08:06.160 --> 00:08:11.759
And companies are trying to adopt the AI stuff.
00:08:12.079 --> 00:08:22.000
The studies that have been done so far show that software engineers that use AI feel like they're being more productive, but in fact are being slower.
00:08:22.319 --> 00:08:30.800
And what's a bigger problem to me is that they're generating code that they don't really understand, and they're putting that out into production.
00:08:31.040 --> 00:08:41.440
So software engineering was about making sure that you understood what the software that you were producing did and how it worked.
00:08:41.759 --> 00:08:50.559
And by trying to bypass that, it really creates a worse product because you end up with code that no one understands.
00:08:50.960 --> 00:08:51.919
Interesting conversation.
00:08:52.159 --> 00:08:53.919
Let's switch into the next chapter.
00:08:54.080 --> 00:09:00.000
So, do you have a philosophy or beliefs that you rely on that guide your life choices?
00:09:00.559 --> 00:09:01.200
Yes.
00:09:01.679 --> 00:09:06.879
Although I feel like that's one of those that you're continually evolving.
00:09:07.120 --> 00:09:18.639
I was recently on a vacation in Europe, and I was talking to a gentleman that is an interesting guy, and we got talking, and I told him I was just retired.
00:09:18.799 --> 00:09:22.240
He's like, Oh, I'm gonna keep working until I can't.
00:09:22.559 --> 00:09:28.080
And actually, what he said was, see, in our society, money is the way that you track success.
00:09:28.320 --> 00:09:35.519
If you keep working, you get more money, and that defined success for him.
00:09:36.000 --> 00:09:40.240
And I was like, I really disagree with that.
00:09:40.559 --> 00:09:45.279
My mom came down with cancer, and I'm sorry.
00:09:45.759 --> 00:09:51.919
I was really glad that I was retired because I could spend a lot of time visiting her, right?
00:09:52.080 --> 00:09:56.159
I was really glad that I had the ability to spend the time, right?
00:09:56.240 --> 00:10:05.200
If I'd been working full-time, I wouldn't have had the opportunity to spend nearly as much time when it was her last year.
00:10:05.440 --> 00:10:08.080
So there was no way to get more time, right?
00:10:08.240 --> 00:10:13.919
Time is is the critical factor and your most limited resource.
00:10:14.240 --> 00:10:21.519
So being able to have time and spend it with the people that are important to you is so, so important.
00:10:21.759 --> 00:10:34.720
I mean, I was getting a very nice paycheck, and I decided that being able to travel, being able to go do things and decide where I spent my time was
most important to me.
00:10:34.960 --> 00:10:37.759
So that said, I do volunteer, right?
00:10:37.840 --> 00:10:44.480
I help at the library to help seniors with their phones and their laptops.
00:10:44.720 --> 00:10:51.200
There's a group of us, and we all help them work through their issues and get them up and running.
00:10:51.679 --> 00:10:58.080
I also volunteer at a local school with third graders teaching them to code.
00:10:58.720 --> 00:11:04.399
And their teachers wouldn't be able to do it if I didn't help.
00:11:04.639 --> 00:11:10.240
And so by helping and going in with the class, I feel like I'm making a difference.
00:11:10.480 --> 00:11:10.960
Yeah.
00:11:11.279 --> 00:11:16.320
Did you make the decision to retire before your mom's diagnosis?
00:11:16.639 --> 00:11:16.960
Yes.
00:11:17.519 --> 00:11:17.759
Okay.
00:11:17.919 --> 00:11:18.080
Okay.
00:11:18.399 --> 00:11:19.919
I actually retired before.
00:11:20.240 --> 00:11:21.039
What was happening?
00:11:21.120 --> 00:11:22.320
What made you decide?
00:11:22.559 --> 00:11:23.919
Okay, I'm done.
00:11:24.320 --> 00:11:25.679
Well, a couple of things.
00:11:25.919 --> 00:11:29.039
Actually, my manager at LinkedIn pulled me in.
00:11:29.279 --> 00:11:32.639
He had decided to retire and to leave.
00:11:32.799 --> 00:11:34.720
So the job was getting less fun.
00:11:35.039 --> 00:11:40.080
And I really wanted to start traveling and have more control over my time.
00:11:40.240 --> 00:11:42.960
So the combination is what dipped my hand.
00:11:43.279 --> 00:11:53.279
A couple of my friends said that in general, most people stop wanting to do big travel trips by the time they're 70.
00:11:53.440 --> 00:11:57.519
Now, some people go much later, some people don't get that long.
00:11:58.000 --> 00:12:04.399
So each year you work past 50 means you're giving up 5% of your travel time.
00:12:04.960 --> 00:12:10.799
And that combined with the fact that my dad died young, he died at 66.
00:12:11.360 --> 00:12:14.639
My grandparents died in their 60s.
00:12:14.879 --> 00:12:19.840
It's realizing that you don't have forever, right?
00:12:20.159 --> 00:12:24.960
Unlike when you're 20, when it feels like you have forever ahead of you.
00:12:30.960 --> 00:12:34.240
And I decided I wanted to do it differently.
00:12:34.399 --> 00:12:37.360
My financial advisor was like, okay, you've got enough.
00:12:37.440 --> 00:12:38.799
You can retire when you want.
00:12:39.039 --> 00:12:47.679
My wife had retired, so without either of us having a job, then we were free to travel and invest our time in the things that were important to us.
00:12:48.000 --> 00:12:48.320
Yeah.
00:12:48.559 --> 00:12:53.759
My next question did you get advice or have a friend or mentor that helped you with retirement?
00:12:54.080 --> 00:12:55.120
Yeah, absolutely.
00:12:55.279 --> 00:12:58.159
My friends definitely helped form that opinion.
00:12:58.399 --> 00:13:00.159
Hey, you should think about retiring.
00:13:00.320 --> 00:13:02.879
And they, in fact, also retired.
00:13:03.360 --> 00:13:09.279
And I encouraged a couple of my friends to retire who weren't necessarily thinking about it.
00:13:09.600 --> 00:13:11.200
Work is is always work.
00:13:11.279 --> 00:13:13.200
So it's never lots of roses.
00:13:13.600 --> 00:13:15.840
You also get some thorns with work.
00:13:15.919 --> 00:13:20.639
And yeah, so if there are more thorns, then it becomes easier to throw the switch.
00:13:21.039 --> 00:13:22.000
Did they take your advice?
00:13:22.240 --> 00:13:22.480
They did.
00:13:22.720 --> 00:13:22.879
They did.
00:13:23.679 --> 00:13:24.000
Okay.
00:13:24.240 --> 00:13:24.720
All right.
00:13:25.039 --> 00:13:27.279
And now they get to travel lots too.
00:13:27.440 --> 00:13:34.080
And actually, the trip that we have planned with them to Antarctica and Peru.
00:13:34.240 --> 00:13:36.000
So how fun is that?
00:13:36.159 --> 00:13:36.799
Oh, wow.
00:13:37.039 --> 00:13:37.440
Exactly.
00:13:37.679 --> 00:13:40.799
So now you have your retirement tribe now to hang out with.
00:13:41.120 --> 00:13:41.919
Exactly.
00:13:44.080 --> 00:13:45.360
I love it.
00:13:46.480 --> 00:13:47.759
I can't wait to hear about it.
00:13:47.840 --> 00:13:49.759
I might have to call you and see how that is.
00:13:50.480 --> 00:13:50.799
Okay.
00:13:51.120 --> 00:13:56.080
So tell me about the psychological aspects of leaving full-time work.
00:13:56.240 --> 00:14:04.320
Anything you miss, transitions or rough patches that you had on the psychological aspect of not working full-time.
00:14:04.720 --> 00:14:07.679
It's a little bit awkward when people ask what you're doing.
00:14:07.840 --> 00:14:09.519
You're like, oh, I'm retired.
00:14:09.919 --> 00:14:17.919
I miss the social stuff of having a group of people that you're working with all the time.
00:14:18.159 --> 00:14:21.120
Now that said, you've got more time for your friends.
00:14:21.200 --> 00:14:22.080
And so that's good.
00:14:22.159 --> 00:14:26.320
And lots of my friends or people that I've worked with over the years.
00:14:26.639 --> 00:14:34.399
But there is definitely a transition where you need to figure out how you define yourself when you're not in a job.
00:14:34.559 --> 00:14:34.879
Right?
00:14:35.039 --> 00:14:41.519
They'll go to systems engineering meetups and get into interesting conversations.
00:14:41.759 --> 00:14:43.919
And they always are like, oh, where are you working?
00:14:44.159 --> 00:14:45.840
Like, oh, I'm retired.
00:14:47.200 --> 00:14:48.480
But that's okay.
00:14:48.639 --> 00:14:58.399
They can respect the fact that I'm still doing interesting things and interested in exciting topics because I'm willing to go to meetups, right?
00:14:58.480 --> 00:15:01.600
It's not like I'm sitting at home watching TV all the time.
00:15:02.000 --> 00:15:09.200
Just because you're retired doesn't mean that you're not current and that you don't have something interesting to contribute.
00:15:09.440 -->
00:15:10.720
And I agree with you.
00:15:10.799 --> 00:15:14.559
When I first retired, I couldn't even say the retirement word.
00:15:14.799 --> 00:15:17.200
I don't lead with that obviously anymore.
00:15:17.440 --> 00:15:19.759
But at this point, I've gone past there.
00:15:19.840 --> 00:15:22.639
I've gotten to the place where I am comfortable leading with it.
00:15:22.799 --> 00:15:24.399
And I think that's a good thing.
00:15:24.720 --> 00:15:25.840
Yeah, I do too.
00:15:25.919 --> 00:15:27.039
I'm on that journey.
00:15:27.279 --> 00:15:30.320
I'll tell them it at the end, like we'll talk about business or something.
00:15:30.480 --> 00:15:34.720
This weekend we got invited to the workday suite for the 49er game.
00:15:34.799 --> 00:15:38.320
And so Day's uh HR ERP system, right?
00:15:38.480 --> 00:15:40.320
I started asking them what they're doing with AI.
00:15:40.480 --> 00:15:42.720
We got into this really interesting conversation.
00:15:42.960 --> 00:15:45.360
And two of my five kids are in HR, right?
00:15:45.519 --> 00:15:48.320
And one of them, she implemented workday at her company.
00:15:48.480 --> 00:15:49.440
And I told him that.
00:15:49.600 --> 00:15:53.200
So the whole conversation, he thought I was working full-time still.
00:15:53.440 --> 00:15:56.240
And so I was asking him questions, and then he's like, Oh, where do you work?
00:15:56.320 --> 00:15:57.759
And I said, Oh, I'm retired.
00:15:57.840 --> 00:15:59.600
But I didn't lead with that, right?
00:15:59.759 --> 00:16:02.000
So we still had an engaging conversation.
00:16:02.080 --> 00:16:10.399
So but my point is I think you would have had an engaging conversation even without putting off discussing that you're retired.
00:16:10.799 --> 00:16:11.200
True.
00:16:11.440 --> 00:16:16.799
I probably would have talked about my own experience with the software or something more, yeah.
00:16:16.879 --> 00:16:17.360
I don't know.
00:16:17.519 --> 00:16:22.080
What three things would you tell your pre-retirement self about retirement?
00:16:22.559 --> 00:16:28.720
I'd say whatever your choice is about when to retire, be deliberate about it.
00:16:28.960 --> 00:16:30.960
Think about what you're doing.
00:16:31.120 --> 00:16:36.799
Don't let yourself fall into, oh, everyone keeps working and so I want to keep working.
00:16:37.039 --> 00:16:39.519
Think about what you're trading off.
00:16:39.759 --> 00:16:41.440
Don't stress about it.
00:16:42.080 --> 00:16:49.039
You will find things, lots of things to entertain you and to keep you mentally active and busy.
00:16:49.360 --> 00:16:50.559
Go out and find them.
00:16:50.720 --> 00:16:53.600
Third thing is volunteering is great.
00:16:53.759 --> 00:16:58.399
If you can find people that you can help, that's a great thing to do.
00:16:58.559 --> 00:17:01.200
And it gets you some more social time.
00:17:01.519 --> 00:17:05.200
Anything you think you would advise people to not do?
00:17:05.680 --> 00:17:06.880
Don't stress too much.
00:17:07.440 --> 00:17:12.880
But how do you not stress about not having enough money, even if you talk to a financial planner, who knows what's going to happen?
00:17:13.039 --> 00:17:16.480
And how do you not stress about what you're gonna do in retirement?
00:17:16.559 --> 00:17:27.440
Because if if a major component of your life has been work and you've gotten a lot of joy, satisfaction, relevance out of that, how do you not stress about letting that go?
00:17:27.839 --> 00:17:32.240
So there is absolutely part of that.
00:17:32.559 --> 00:17:45.839
And my financial advisor was really worried about me retiring because so many men build so much of their ego around their job and their work.
00:17:46.319 --> 00:17:50.799
And suddenly having it gone could be a concern.
00:17:50.960 --> 00:17:55.839
Now, for me, there were some, but not as much as he was afraid of.
00:17:56.079 --> 00:17:59.599
Oh, make sure to keep your social connections, right?
00:17:59.759 --> 00:18:02.480
Don't let the social connections wither.
00:18:02.640 --> 00:18:04.880
Spend time with your friends, not less.
00:18:05.119 --> 00:18:10.079
Don't worry about whether you'll be seen as irrelevant.
00:18:10.480 --> 00:18:14.880
And I mean, financial stuff, of course, you can always have more money, right?
00:18:15.200 --> 00:18:17.440
But you can't get more time.
00:18:18.160 --> 00:18:20.720
It's about understanding the trade-offs.
00:18:20.960 --> 00:18:36.960
The other thing is having the financial planner and getting that relationship going so that you have someone else looking at your finances to say, okay, this is doable, or uh it's a little dicey for you to retire at this point.
00:18:37.279 --> 00:18:49.200
Yeah, a lot of people in retirement, a part of the financial component is to sell their home and move someplace less expensive so they can live comfortably.
00:18:49.440 --> 00:18:51.599
Did you and your wife discuss a move?
00:18:51.680 --> 00:18:53.200
And how was that conversation?
00:18:53.599 --> 00:19:02.559
We've discussed it, but because our kids have moved back to the area, being close to the kids is really, really nice.
00:19:02.880 --> 00:19:12.000
And so it would be hard to consider being very far away from where our kids are, especially once they start having kids of their own.
00:19:12.160 --> 00:19:17.119
If there are grandkids around, my wife will very likely want to be near the grandkids.
00:19:17.519 --> 00:19:19.200
And so will you too, right?
00:19:19.519 --> 00:19:21.039
So will I, yes.
00:19:21.519 --> 00:19:22.000
Absolutely.
00:19:22.160 --> 00:19:23.680
I love kids, actually.
00:19:24.000 --> 00:19:28.079
Well, you're volunteering at the school, you're you're doing so much for children.
00:19:28.160 --> 00:19:35.759
So my wife and I had were dating, and actually we're getting close to getting married at that point.
00:19:36.000 --> 00:19:41.519
And we went to a wedding, and the people sitting next to us had their toddler.
00:19:41.680 --> 00:19:49.759
I proceeded to play with the toddler, and then I took the toddler around and was entertaining the toddler so that the mom and dad could go dance.
00:19:49.920 --> 00:19:53.839
And the mom told my wife that, wow, he's a keeper.
00:19:54.319 --> 00:19:57.359
He's just playing with these kids just because.
00:19:59.279 --> 00:20:00.720
Yeah, I like kids.
00:20:01.039 --> 00:20:05.119
Uh, seemed to be a good grandpa or papa or whatever you want to be called.
00:20:05.440 --> 00:20:06.400
Exactly.
00:20:07.359 --> 00:20:08.400
I hope so.
00:20:08.720 --> 00:20:09.279
Yeah.
00:20:09.599 --> 00:20:12.319
What brings you joy and satisfaction now?
00:20:14.559 --> 00:20:18.400
I like teaching people things.
00:20:18.640 --> 00:20:24.799
That's part of why I like helping at the library with the technology and with the third graders.
00:20:24.960 --> 00:20:28.480
I've started taking photography classes too.
00:20:28.559 --> 00:20:29.680
I really enjoy that.
00:20:30.000 --> 00:20:30.799
Oh, nice.
00:20:31.039 --> 00:20:33.599
Yeah, I think the creative side is really fun.
00:20:33.920 --> 00:20:38.000
You have to have a learner mindset if it's something you've never done before.
00:20:38.240 --> 00:20:41.839
But I I find it a lot of fun to try new things.
00:20:42.000 --> 00:20:47.680
And I just tell myself, Lisa, be patient, because I'm not necessarily the most patient person.
00:20:47.920 --> 00:20:53.519
And it's going to take a couple tries, maybe more, until you get it, until it clicks.
00:20:53.759 --> 00:21:03.200
So anything else that you're thinking about in retirement, do you have like a to-do list or a bucket list or hey, I think I'll get into doing something else there?
00:21:03.599 --> 00:21:08.240
There are things that are interesting and that I'm interested in kicking the tires of.
00:21:08.400 --> 00:21:09.440
So we'll see.
00:21:09.839 --> 00:21:10.160
Yeah.
00:21:10.400 --> 00:21:11.920
Anything in the technology space?
00:21:12.000 --> 00:21:20.799
Are you like that door's closed and I want to go do other creative, you know, volunteering aspects of life.
00:21:21.119 --> 00:21:27.200
I keep thinking about writing some games for iOS just because I enjoy doing that.
00:21:27.440 --> 00:21:33.039
Um making some nice free apps would be good.
00:21:33.519 --> 00:21:36.079
Oh, uh sign me up to be a beta person.
00:21:36.160 --> 00:21:37.440
I will I will try them out.
00:21:37.519 --> 00:21:44.000
Because I think everybody does the Wordle and the Sudoku and the New York Times games.
00:21:44.319 --> 00:21:46.160
Sometimes I'm like, uh, like I'll do this.
00:21:46.319 --> 00:21:47.599
I kind of like something new.
00:21:48.079 --> 00:21:52.799
Are you going to come up with a new game or are you going to take an existing game and put it online?
00:21:53.200 --> 00:21:53.920
What are you thinking?
00:21:54.160 --> 00:21:55.680
I really like Splendor Duel.
00:21:55.759 --> 00:21:59.839
Actually, doing a Splendor Duel as an app would be
really nice.
00:22:00.319 --> 00:22:00.799
actually.
00:22:03.119 --> 00:22:09.119
Of course, using another game that you have to be a little careful with the IP, right?
00:22:09.599 --> 00:22:09.920
Yeah.
00:22:10.240 --> 00:22:14.799
You don't want to get the game manufacturer mad at you.
00:22:15.039 --> 00:22:15.279
Yeah.
00:22:15.519 --> 00:22:18.400
Or you could go to them and say, hey, I've got this idea.
00:22:18.799 --> 00:22:20.400
Can I develop it for you?
00:22:20.640 --> 00:22:27.039
And the they'll either say sure, yeah, and do it themselves or right.
00:22:27.920 --> 00:22:28.559
Yeah.
00:22:28.960 --> 00:22:33.599
But I can see you creating a new game too or something that's a maybe a combination.
00:22:33.920 --> 00:22:35.119
So well good.
00:22:35.359 --> 00:22:37.519
Any any other insights?
00:22:38.240 --> 00:22:46.880
Because you're having fun when you and I first talked you just resonate positivity and joy in this in this next phase of life.
00:22:47.039 --> 00:22:49.200
You're super relaxed, but you're having fun.
00:22:49.279 --> 00:22:50.799
You're laughing all the time.
00:22:51.119 --> 00:22:55.599
Any insight as to how others can potentially create that for themselves?
00:22:56.079 --> 00:23:00.960
I like the way you expressed it as keeping a learning mindset.
00:23:01.279 --> 00:23:07.759
Now that is part of why I loved programming because you have to keep learning.
00:23:07.920 --> 00:23:09.119
You want to keep that up.
00:23:09.279 --> 00:23:14.880
You want to continually be learning new things finding things that are interesting.
00:23:15.039 --> 00:23:25.440
Every December there's a man that releases Advent of Code which is a set of programming puzzles that he releases one per day.
00:23:25.759 --> 00:23:35.359
And he used to do one for the first 25 days and this year he decided that was too much for him and so he cut it down to 12.
00:23:35.680 --> 00:24:21.839
But those are just fun right it's fun to to get in there and program these challenges and I was following one per day up until day 12 the last day and then I was like oh what it really wants is this data structure that I implemented once but I haven't done in a long time and then I looked at the research so I was going off to Donald Newth who's a professor at Stanford and seeing what he's done on that recently and he's continued to work on it and made improvements and so I've got myself into this huge deep dive of understanding what Donald Newth has been up to for the last couple years.
00:24:23.440 --> 00:24:25.039
Okay did you solve it though?
00:24:25.359 --> 00:24:35.680
So I solved the first 11 days but I haven't solved day 12 yet because I'm still working you have to solve you've come this far you've got to do 12 I I will do 12.
00:24:35.839 --> 00:24:42.960
I just want to to to understand news stuff so and then use it to solve day 12.
00:24:43.119 --> 00:24:46.240
Right and so oh that's so fun.
00:24:46.640 --> 00:24:49.680
Yeah keep learning is is absolutely critical.
00:24:49.920 --> 00:25:03.519
Yeah well thank you this is so much fun I hope you enjoyed it and had a good time wow I appreciate Owen joining the podcast and sharing his story as a second generation engineer who became a big data co-founder.
00:25:03.920 --> 00:25:09.119
It was cool to hear about his thought process when he made the decision to become an individual contributor.
00:25:09.359 --> 00:25:12.880
Many people think about their careers in terms of moving up the hierarchy.
00:25:13.039 --> 00:25:29.519
Instead Owen followed his enthusiasm for technology and joined forces with people he enjoyed working with hearing his perspective about AI and software engineering, especially around security and usability gave me some insight into AI software development.
00:25:29.839 --> 00:25:33.759
A lot of us are still learning about it so I hope you found it insightful too.
00:25:34.000 --> 00:25:41.200
Owen's story debunking the myth that money is the way people should track success in life was thought provoking.
00:25:41.519 --> 00:25:49.839
I'll leave you with a final thought from a Danish philosopher who was quoted as saying I must find a truth that is true for me.
00:25:50.079 --> 00:25:51.680
What is your truth?
00:25:52.000 --> 00:25:54.799
Do you have a next chapter story that you'd like to share?
00:25:54.960 --> 00:25:57.119
If so we'd love to hear from you.
00:25:57.279 --> 00:26:07.279
Go to next chapter conversations dot com and send us a note go to next chapter conversations dot com powered by GoDaddy and send us a note.
00:26:07.519 --> 00:26:11.519
Thank you for listening go out and make your next chapter amazing