Josh:
00:00We've come to the end of another season, but instead of talking about another computer component,
00:05I wanted to talk about where I think computing is going in the next 5 to 10 years.
00:10This is just me throwing ideas out there, so take it all with a grain of salt.
00:15And as we know, the world can change overnight, so maybe these are accurate, or maybe they will never come to fruition.
00:24The wrong thing to do is just go out and buy a computer and then learn about it.
00:29You'll learn, but you'll learn a lot of things that maybe you didn't want to learn.
00:33A computer that you buy today will likely be obsolete 6 months from now, and there's not a dang thing that you can do about it.
00:42My name is Josh, and I'm able to keep this podcast independent and advertisement-free because of support from listeners like you.
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01:00members get early access to new videos, ad-free versions of everything, bonus content, and access
01:06to a live monthly Q&A. Thanks for considering. Now let's get back to the show. Unless you've
01:13been off-grid for the last few years, you might have noticed AI has seeped into every facet of
01:18our lives. From support chat pop-ups on websites, to smart appliances, which were already a dumb
01:24concept, shoving AI into them to make them smarter, but also at the same time dumber. And we also have
01:31circular investment in AI, which has created a bubble just waiting to burst. I have four predictions,
01:38theories, or just general gut feelings about where I think things are going.
01:43AI will take jobs. We're already seeing companies firing developers, shoving AI in its place, and
01:49hitting go. AI has the benefit that it can work 24-7 and scale very quickly. The downside of this
01:56is that it's not the magic it has been marketed to be.
02:00I use it quite a bit, and I pushed back on it initially, but as someone in tech who wants to see and learn what's going on, I would be doing myself a disservice if I ignored it on principle.
02:11It does help, I can't deny that. I can dump a bunch of logs from my server into it, ask what happened at x time, and it does a great job piecing things together.
02:21I'd also be lying if I said some of the models weren't pretty decent at helping code, but it has a level of confidence that makes me uncomfortable.
02:29I know behind these answers are a bunch of GPUs and some AI models trying to provide an answer it thinks I want, but that confidence gives it a level of validation that I don't think a lot of people question.
02:41They take the answers at face value and run with it, and that truly scares me.
02:48We already have issues of headline reading, trusting random information from strangers online, but at least that was somewhat easier to analyze.
02:56With AI, people can get the answers they want.
02:59With AI, people can get the answers they want.
03:00instead of the right answer. And that's a problem. The second is that you will own nothing and be
03:06happy. I think that saying can sum up my next point. Companies want you to pay for everything
03:12on a monthly subscription basis. And I think once the AI bubble bursts, all this hardware and data
03:19centers just sitting there will need a purpose. And I think they're going to come for our personal
03:24computers next. Years ago, Google had a product called Stadia, which they killed, like most things
03:30they do. It was a cloud gaming service you connected into, and the games streamed from their server.
03:38This was back in 2019, and one of the guys I worked with had a subscription to it.
03:43So we tested it out at work, playing some games during the workday, because why not? It was pretty
03:49cool and worked well. But years later, thinking about it, I can see the repurposing of AI hardware
03:56going to this use. You'll buy a shell of a computer that can...
04:00next to a data center where your supposed personal computer is running. You'll do all your work on
04:05the shell of a computer, which is basically just a screen, keyboard, and mouse, and all your data
04:10and processing happens remotely in the data center. A company I used to work at had something like
04:17this set up, basically a terminal server that allows centralized management of workstations
04:22and users. Fin clients connect in, usually over RDP, and give the employee access. It works great
04:29in a corporate environment, but it seems like a next likely step if they want to monetize what we
04:34used to purchase once and turn that into a reoccurring subscription. Just like Uber and Lyft
04:40and every other SaaS startup in the last decade, it will start out dirt cheap, they will then kill
04:45the competition, and once everyone's locked in, raise rates. The third thing is that I think we've
04:52been spoiled with hardware. I think it made a lot of code turn to lazy code. Why spend time optimizing,
04:59like they did better?
05:00in the day when you only had one megabyte of ram when you can just throw cheap hardware at it and
05:04make it work but since corporations are purchasing all the available hardware which is causing the
05:10prices of gpus and now ram to skyrocket i think we might see a shift to making what is already out
05:17there or maybe older hardware work longer which i am a big proponent of so long term what do i think
05:25this means i think it'll lead to leaner simpler more efficient code and i don't think that's ever
05:32a bad thing but we'll see and that brings us to the last item which is that i think we will see a
05:38shift away from the cloud for corporations i don't know how many of you listening have ever interacted
05:44with aws azure or gcp but the original promise was put your apps data and services with us and you can
05:53essentially fire all your sys admins and save money well over the last decade or however long it's been
05:59that
06:00has not happened. AWS or any of those other massive cloud providers still require a massive
06:06amount of administration and dedicated employees. It's not set and forget like they would make you
06:12believe. Not to mention the extraordinary markup on hardware. From storage to bandwidth, the rates
06:18are insane. The truth is that hardware has become much cheaper, if you ignore the RAM prices lately,
06:24and it's a one-time expense. I don't think this will happen in the next few years, but I think in the
06:30next 5 to 10, we'll see more and more companies bringing things back in-house. I think there's
06:36been a lot of fear-mongering over the years about hosting things yourself and how difficult or
06:41unreliable it is. The fact is, is that it's not. Enterprise hardware has many redundancies built
06:47into it and it's extremely reliable. And at the end of the day, we still see AWS, GCP,
06:54and Azure outages that take down massive parts of the web. So yes,
07:00you can shift the blame to someone else when your customers ask what happened, but to what end.
07:06So there's some of my thoughts. Again, these are just my opinions. Don't base any of your
07:11decisions on them. But maybe they can give you something to think about. That's the end of
07:17season three, and I'll see you next season with something completely different.
07:24In the Shell is written, researched, and recorded by me.
07:29And if you ever wondered how a computer gets drunk
07:32and takes screenshots, that's it. Take care, and I'll see you next season.