ATP

00:00:00 ◼   ► As I sit here tonight, the kids have a two-hour delay tomorrow, and they're finally going back to school on Thursday. They have not been in school since, what day was that, January 23rd?

00:00:14 ◼   ► Wait, really? So this whole ice period, they haven't been in school since then?

00:00:17 ◼   ► That's right. That's right. So we got the snow, I think, 24th, 25th weekend. Then we were, well, snow and ice. I shouldn't say the snow was really the ice that was a problem.

00:00:24 ◼   ► We're off all last week, 26 through 30, we're off Monday, we're off Tuesday. Well, I shouldn't say off.

00:00:31 ◼   ► They did asynchronous learning, which means they did a bunch of busy work Monday, Tuesday, and today, which is Wednesday.

00:00:37 ◼   ► It's Thursday the 5th, they're finally going back after a two-hour delay.

00:00:41 ◼   ► And I feel terrible for Aaron in particular, because I've been up here working in the office,

00:00:46 ◼   ► the kids have been downstairs in the dining room doing their busy work and asking Aaron questions incessantly all day long for the last three days.

00:00:54 ◼   ► Aaron loves her children more than she loves anything in the world, including, I think, me, potentially.

00:00:59 ◼   ► And I think she's very ready for them to go back to school tomorrow.

00:01:03 ◼   ► Yeah, I think, I don't know, there's days that I do okay that she might like me a smidge more.

00:01:08 ◼   ► But don't ruin my moment here, John.

00:01:10 ◼   ► But anyways, the point is, Icepocalypse is finally over, and I am very thankful.

00:01:16 ◼   ► All right, well, let's do some follow-up, and I would like to say that I've been vindicated,

00:01:22 ◼   ► and in congratulations to John, or maybe not congratulations, but in thanks to John for putting this into the show notes,

00:01:29 ◼   ► even though my conversions to metric are generally trashed, they at least get us in the ballpark,

00:01:33 ◼   ► and many people wrote in to say, hey, that's helpful.

00:01:36 ◼   ► I mean, I'm not sure if it's vindication, but you have your supporters, let's say.

00:01:39 ◼   ► There are people out there who love to hear you stumble through trying to convert in your head between units that you're not familiar with.

00:01:45 ◼   ► That's right, vindicated.

00:01:46 ◼   ► I feel like I'm okay with you continuing to put in metric units if you use kind of the less common intervals of them.

00:01:53 ◼   ► Like, you know, like I'm currently drinking about 25 centiliters of a non-alcoholic Guinness tonight.

00:01:58 ◼   ► Yeah, like the only metric unit that I think most Americans are familiar with, and some people pointed this out to us,

00:02:03 ◼   ► is I think we know centimeters, because as someone pointed out, like lots of our rulers have interest on one side and centimeters on the other.

00:02:08 ◼   ► So I have a kind of intuitive understanding of centimeters, and then a meter, we just be like, well, it's like a yard.

00:02:12 ◼   ► Right, right.

00:02:13 ◼   ► But yeah, kilometers and kilograms, forget it.

00:02:15 ◼   ► Nope, I got nothing on that.

00:02:17 ◼   ► And then some of the people, I love how some of the people supporting your unit conversions couldn't help but snark about Fahrenheit, too.

00:02:22 ◼   ► So they're just going to get that jab at even when they're trying to support you.

00:02:26 ◼   ► Right.

00:02:27 ◼   ► Well, the thing of it is, I don't plan to relitigate this, because we have a lot of stuff to talk about,

00:02:31 ◼   ► but we get everything wrong.

00:02:33 ◼   ► Inches are wrong.

00:02:34 ◼   ► Ounces are wrong.

00:02:35 ◼   ► Pounds are wrong.

00:02:36 ◼   ► Yards are wrong.

00:02:38 ◼   ► Everything is wrong.

00:02:39 ◼   ► Everything is wrong, except Fahrenheit.

00:02:41 ◼   ► Fahrenheit for ambient air temperatures, we got right.

00:02:44 ◼   ► It's a percentage of hot.

00:02:46 ◼   ► And I will tell you, it is a fact that if you have half degrees on your goddamn thermostats, you failed.

00:02:53 ◼   ► That is a failure of your whole system.

00:02:57 ◼   ► Celsius for ambient air temperatures is trash.

00:03:02 ◼   ► You can use it for cooking.

00:03:03 ◼   ► I'm good with that.

00:03:03 ◼   ► I'll use it for cooking.

00:03:04 ◼   ► I mean, I don't because I'm an idiot and I'm an American, but I'm full support for cooking.

00:03:08 ◼   ► If you want to take your internal body temperature in Celsius, whatever, that's fine.

00:03:12 ◼   ► I add anywhere else other than what is the temperature outside.

00:03:15 ◼   ► I don't care if water is cold, y'all.

00:03:18 ◼   ► I care if I'm cold.

00:03:20 ◼   ► And so I think it's hilarious that all these people that make fun of Americans because of our stupid units and whatnot seem to have this inability to remember the numeral 30 or the number 32.

00:03:34 ◼   ► Like, all these people who are so smart and look at us with our base 10 units, me, me, me, me, and look at our fancy paper that makes sense, unlike yours, which doesn't.

00:03:41 ◼   ► Really making a lot of friends and the metric supporters right now, I guess.

00:03:45 ◼   ► I'm just saying, you guys have, you folks have everything right except Celsius.

00:03:50 ◼   ► Celsius is trash.

00:03:51 ◼   ► Yeah, so much for not going into it.

00:03:53 ◼   ► Yeah, well, my bad.

00:03:54 ◼   ► I can't help myself.

00:03:54 ◼   ► I'm so triggered by this.

00:03:56 ◼   ► This is the hill I am dying on.

00:03:57 ◼   ► I don't, I know you two know this better than almost anyone.

00:04:00 ◼   ► This is your metric supporter, everyone, still on this side.

00:04:03 ◼   ► But that's the thing.

00:04:04 ◼   ► I'll happily do my best to give you centimeters or meters or whatever the case may be.

00:04:09 ◼   ► And kilogram, I'm terrible at kilograms, but I'll do my best.

00:04:11 ◼   ► We already do like, don't we do like millimeters?

00:04:13 ◼   ► But like when Apple gives the units in metric, we just read them in metric.

00:04:16 ◼   ► We don't convert them to, I don't know, 16th of an inch.

00:04:19 ◼   ► Right?

00:04:19 ◼   ► I mean, again, all our units are trash.

00:04:21 ◼   ► Every single one of them with one and only one exception and only when used for ambient air temperatures.

00:04:28 ◼   ► Celsius in cooking, I'm good.

00:04:30 ◼   ► I'm happy to do it.

00:04:31 ◼   ► That makes sense.

00:04:32 ◼   ► Not when you're walking outside because I don't give a shit if water is cold.

00:04:35 ◼   ► Anyway, other authentication options for John's Cloudflare apps.

00:04:40 ◼   ► Tell us, John, what else could you have done?

00:04:41 ◼   ► What a transition.

00:04:42 ◼   ► Yeah, well, he's got, in case he needs some time to calm down, I'll talk about Cloudflare.

00:04:46 ◼   ► Cloudflare authentication.

00:04:47 ◼   ► The last episode, I was talking about how I factored out the sort of passkey-based account system

00:04:53 ◼   ► for all my little personal apps, so I didn't have to, you know, copy and paste that from one app to another.

00:04:59 ◼   ► Since I edited, I think I have like three of them now, three or four little apps.

00:05:04 ◼   ► And it's nice to have that all factored out.

00:05:06 ◼   ► But a couple of people wrote in for possible alternatives.

00:05:08 ◼   ► One of them is another Cloudflare product called Cloudflare Access.

00:05:12 ◼   ► I read their web pages a few times to try to figure out what it was.

00:05:15 ◼   ► Here's the beginning of their explanation.

00:05:17 ◼   ► Cloudflare Access provides visibility and control over who has access to your custom host names.

00:05:22 ◼   ► You can allow or block users based on identity, device posture, or other access rules.

00:05:27 ◼   ► And then it says the prerequisites, you have to have a Cloudflare Zero Trust plan in your SaaS provider account.

00:05:32 ◼   ► And it goes on from there to name a lot of different proper nouns that you need to set up in your Cloudflare account.

00:05:36 ◼   ► I'm like, yeah, okay, but what is this?

00:05:38 ◼   ► What, you know, and I looked up Zero Trust and it's the, you know, the Wikipedia page says it's a design and implementation strategy for IT systems.

00:05:47 ◼   ► The principles that users and devices are not trusted by default, even if they are connected to the privileged network, such as a corporate LAN or whatever.

00:05:52 ◼   ► So in bad old days of computing and my jobby jobs, once you got on the corporate network,

00:05:57 ◼   ► you were kind of in and you were implicitly trusted to do a bunch of stuff.

00:05:59 ◼   ► But later in my jobby job, that became, that went out of fashion.

00:06:03 ◼   ► And what became in fashion is a Zero Trust architecture, which is even if you're in the network, even if you're on the Wi-Fi,

00:06:09 ◼   ► even if you're plugged into Ethernet on the corporate network, still, you don't have implicit access to anything because that's really bad for security.

00:06:15 ◼   ► So it sounds to me like Cloudflare Access is kind of like, you know, the, if you do any kind of remote work for a company,

00:06:21 ◼   ► you probably have some kind of work VPN that you have to connect to that gets you on the network.

00:06:24 ◼   ► And getting you on the network doesn't get you access to anything,

00:06:26 ◼   ► but you have to be on the network before you can then authenticate using your ID provider or whatever.

00:06:31 ◼   ► So I don't think this is appropriate for my mini apps to have a Zero Trust type thing where I have to install an app to sort of,

00:06:38 ◼   ► I'm not sure if it's a VPN, but either way, like it doesn't sound like the right system for me to be able to log into my little personal apps.

00:06:46 ◼   ► But be aware that it is available on Cloudflare if you're interested in it.

00:06:49 ◼   ► By the way, to quickly interrupt, the whole shtick behind Tailscale, former sponsor, potentially future sponsor, they are very big into Zero Trust architecture.

00:06:58 ◼   ► Now, with that said, by default, you know, they kind of allow everything everywhere just to make things easier.

00:07:03 ◼   ► But their actual like recommendations and the way it's really built is Zero Trust.

00:07:08 ◼   ► And it can be extremely powerful and extremely cool.

00:07:11 ◼   ► And the next suggestion was OpenID Connect or OIDC.

00:07:14 ◼   ► This one I also used at work.

00:07:16 ◼   ► OpenID Connect is a sort of a way, it's an open standard for authentication where you have like an identity providing server.

00:07:24 ◼   ► And if you try to log into a service, it will bounce you to or talk to through an API, the central identity provider.

00:07:32 ◼   ► And that way, you can basically essentially make one account and be able to sign into all the corporate things.

00:07:37 ◼   ► Again, it makes a lot of sense for an enterprise.

00:07:39 ◼   ► You know, the dream of single sign on, as they used to call it back in the day, is this whole very large companies that are built up around providing this.

00:07:47 ◼   ► And OpenID is a open standard.

00:07:50 ◼   ► A couple of people suggested PocketID, which is a tiny little OpenID Connect identity provider that you can run yourself in a little host or a little Docker container.

00:07:59 ◼   ► So you don't have to get one of those big commercial services.

00:08:02 ◼   ► You can run this one thing over here, and that does your identity for all your other apps and you're good to go.

00:08:08 ◼   ► Maybe it's a little PTSD for my job and working with Okta.

00:08:13 ◼   ► I mean, I think Okta is actually pretty good.

00:08:15 ◼   ► Okta was pretty good, all things specific.

00:08:17 ◼   ► Yeah, it was one of the better vendors, but still, a lot of the stuff I did at work, I have bad associations with.

00:08:23 ◼   ► And also, it's so heavyweight.

00:08:24 ◼   ► And actually, what I have is kind of what I want.

00:08:27 ◼   ► I don't actually want single sign on.

00:08:28 ◼   ► I want individual accounts on individual services.

00:08:31 ◼   ► Not that it matters.

00:08:32 ◼   ► These are my tiny toy things that are going to have just my accounts, or maybe I'll put accounts on for family members or other people who want to take a peek at it.

00:08:39 ◼   ► Like, it's just simpler for me to be like, these things are not connected in any way.

00:08:43 ◼   ► There's no central ID provider.

00:08:44 ◼   ► I don't have to, you know, do authentication over there and then authorization differently depending on, you know, like.

00:08:50 ◼   ► It's just, it's too heavyweight for me.

00:08:52 ◼   ► But it is cool that there is this pocket ID thing where if you do want to run this, you don't have to run one of these big, you know, giant commercial things.

00:08:59 ◼   ► Or one of the free open source ones, you can run this little tiny thing, and it's just a little OpenID Connect provider just for you and your little services.

00:09:05 ◼   ► Yeah, and building off of that, there's also TSIDP, which I think is written by TailScale themselves.

00:09:10 ◼   ► And this is like a very similar in spirit to Pocket from what I gather, but it's a little baby OpenID Connect or IDC provider that you would run on your TailNet if you so choose.

00:09:19 ◼   ► I haven't really looked into this, but it does seem like the sort of thing that I would do because I'm a weirdo like that.

00:09:24 ◼   ► But anyways, lots of options for you, certainly for the public internet and also if you just wanted to do stuff on your TailNet too.

00:09:30 ◼   ► And these work with pass keys and everything too.

00:09:32 ◼   ► Like there's no, they're agnostic to the actual method you use to authenticate, whether it's a hardware key or a pass key or a password.

00:09:38 ◼   ► They, you know, all these things support, I haven't looked into Pocket ID, but, you know, the standard supports all these things.

00:09:43 ◼   ► All right, let's talk about TVs for a while.

00:09:45 ◼   ► Let's see.

00:09:46 ◼   ► David Schaub writes with regard to per-pixel lighting control, per-pixel lighting is sufficient, but it isn't necessary.

00:09:52 ◼   ► My 14-inch MacBook Pro has almost five dimming zones per inch, which David calls DZPI, question mark?

00:09:59 ◼   ► And I find it quite good because my eyes cause blooming and my glasses cause blooming.

00:10:03 ◼   ► Tech only needs to meet human perception.

00:10:05 ◼   ► There's no reason to assume that per-pixel lighting is needed if laptops get to about 5,000 zones, desktops get to about 15,000 zones, and TVs get to about 20,000 zones.

00:10:14 ◼   ► I'm sure my eyes would be perfectly happy.

00:10:16 ◼   ► Yeah, I mean, there's the point of diminishing returns, but unfortunately, due to the nature of the LCDs that are in front of those dimming zones, there are still sort of worst-case scenarios that come up surprisingly often.

00:10:28 ◼   ► Maybe not to 20,000 zones, but to be clear, these numbers are pushing the high end of what is available commercially.

00:10:35 ◼   ► I'm not sure if there are many TVs that are 20,000 zones or higher.

00:10:38 ◼   ► Obviously, the MacBooks are half of that 5,000, but they're not the highest-density screens.

00:10:43 ◼   ► But starfields, if you watch science fiction, it's a black background with a bunch of pinpricks of white light, and it doesn't take that dense of a starfield to essentially require the TV to have every single backlight region turned on because there's at least one star in every region.

00:10:58 ◼   ► And then you've just gone back to the worst-case Apple Studio display.

00:11:02 ◼   ► The entire backlight is on, and your black levels are raised because the LCDs can't block all the light, right?

00:11:08 ◼   ► You know, there are lots of other sources of blooming, but that's an argument against, you know, dynamic backlight regions because, yeah, there are lots of other sources of blooming, and we're talking about that in the next segment as well.

00:11:20 ◼   ► You don't want to add to it.

00:11:21 ◼   ► It's like, okay, and also the backlight is blooming.

00:11:23 ◼   ► And to be clear, backlight blooming is so much better now than it used to be.

00:11:27 ◼   ► It used to be incredibly awful, and the zones were big, and now the zones are tiny, and it's much better.

00:11:31 ◼   ► So it is definitely getting way, way, way better.

00:11:33 ◼   ► But per pixel lighting control, like, why fight this?

00:11:38 ◼   ► Each individual pixel can light up.

00:11:39 ◼   ► We have a technology that does it.

00:11:40 ◼   ► There are tradeoffs, but, you know, the gap is narrowing with tandem OLED and QD OLED and everything.

00:11:46 ◼   ► So I get where David Schaub's coming from.

00:11:49 ◼   ► And in practice, most people are buying the LCD TVs as well just because they're cheaper.

00:11:52 ◼   ► But if and when they sort of meet on price, the answer is clear.

00:11:57 ◼   ► Per pixel lighting control, don't worry about dynamic backlights.

00:12:00 ◼   ► I mean, even if it's just, like, because correctly using dynamic backlights, deciding which backlight should be on and how bright they should be,

00:12:07 ◼   ► it's computationally expensive and complicated.

00:12:09 ◼   ► And there can be situations where the backlight lags the action on the screen.

00:12:13 ◼   ► And there can be situations where doing the backlight calculations adds a couple frames of lag when playing video games.

00:12:19 ◼   ► It's just a complication that is not ideally necessary.

00:12:23 ◼   ► But, yes, they are getting a lot better.

00:12:25 ◼   ► All right. So speaking of TVs and backlights and things, Marco had made kind of an offhanded question, comment, whatever.

00:12:32 ◼   ► It's less of a question, more of a comment.

00:12:34 ◼   ► About microLED TVs last episode when we were talking about Sony and TCL.

00:12:39 ◼   ► And, John, you had thoughts.

00:12:41 ◼   ► Yeah, I tried to give Marco a lay of land, which is basically it's always five years in the future.

00:12:45 ◼   ► And they're not affordable yet.

00:12:48 ◼   ► And just entirely coincidentally, I didn't look this up, but my YouTube recommendation engine threw this at me shortly after we recorded the program.

00:12:56 ◼   ► And it was a video from Robert Tate of the Hookup YouTube channel, which I had never heard of before.

00:13:01 ◼   ► But he bought and tested a 157-inch AWOL, all caps, microLED TV, and TV in scare quotes.

00:13:10 ◼   ► And he made a video about it.

00:13:11 ◼   ► We'll put a link in the show notes.

00:13:12 ◼   ► This doesn't really change anything that I told Marco, but it is a much more detailed view of, like, what's the state of things now?

00:13:19 ◼   ► So, first of all, this is a $55,000 TV.

00:13:21 ◼   ► So, okay.

00:13:22 ◼   ► Well, you know.

00:13:24 ◼   ► And it's 157 inches, and it takes up the entire wall.

00:13:29 ◼   ► Like all large microLED TVs, it's made up of individual panels, because the whole thing is, like, you have to put these red, green, and blue LEDs on these little boards.

00:13:39 ◼   ► I think they have machines doing it still, like, and they're so tiny, and there's so many of them.

00:13:42 ◼   ► And it's kind of like silicon chips, where the bigger you make it, if you screw it up, you've got to throw the whole thing out.

00:13:47 ◼   ► So they always make these things out of modular panels.

00:13:49 ◼   ► Even the ones that are, like, in stadiums and for rock tours, they're all modular panels.

00:13:52 ◼   ► That's the deal.

00:13:53 ◼   ► Because we can make a small modular panel.

00:13:55 ◼   ► They're all interchangeable.

00:13:56 ◼   ► If one of them breaks, you just replace the panel.

00:13:58 ◼   ► And it's easier to make a small thing perfect than to make a giant thing perfect.

00:14:01 ◼   ► These modules are 27 inches.

00:14:04 ◼   ► They're 640 by 360 pixels at a 0.9 millimeter pixel pitch, which is how far the pixels are apart.

00:14:10 ◼   ► And the general rule is if you multiply the pixel pitch by 10, you get the distance where you can't see the pixels anymore.

00:14:15 ◼   ► So 0.9 millimeters means about 9 feet away, and you won't be able to see the pixels anymore.

00:14:22 ◼   ► It also, the little modules, the 27-inch modules, have magnetically attachable and adjustable screen things.

00:14:28 ◼   ► So there's, like, the back part of it that has, like, the power supply and the signal and everything.

00:14:31 ◼   ► And then the actual micro LEDs attach in a little panel with magnets.

00:14:36 ◼   ► And they're adjustable because you're going to set up these panels.

00:14:40 ◼   ► And Robert's setup was six panels wide by five panels tall.

00:14:44 ◼   ► And, you know, you put the panel, you put the things in the wall.

00:14:46 ◼   ► We'll talk about the installation in a second.

00:14:48 ◼   ► But you have to line up all the panels so they're, you know, the gaps between them are as small as possible.

00:14:53 ◼   ► And they're all facing the same direction.

00:14:55 ◼   ► So one of them can't be, like, tilted, you know.

00:14:57 ◼   ► They have to all be smooth and everything.

00:14:58 ◼   ► And so they attach with magnets.

00:15:00 ◼   ► And there's these tiny little adjustment screws to make, to, like, level them in three dimensions so they all line up.

00:15:06 ◼   ► It's very fidgety.

00:15:07 ◼   ► Anyway, that six panels by five panels, that's 3840 by 1800.

00:15:12 ◼   ► So it's not even full 4K.

00:15:14 ◼   ► And if you look at his setup, that's because there's not any more room in his room.

00:15:17 ◼   ► Like, he couldn't, like, it fills the height, you know, there's, he couldn't put another row of panels in.

00:15:22 ◼   ► And it's just, they're too big.

00:15:23 ◼   ► And the whole thing with these is, like, making them smaller is the hard part.

00:15:26 ◼   ► You can put one in a stadium real easy, you know, for a few hundred grand or whatever.

00:15:29 ◼   ► But it's making the little micro-LED small.

00:15:31 ◼   ► That's why when you see those, a 55-inch micro-LED was causing huge waves when it appeared at CES a couple years ago.

00:15:37 ◼   ► It's like, how do they make one that's 55-inch?

00:15:39 ◼   ► Because it's so small.

00:15:40 ◼   ► God knows how much.

00:15:42 ◼   ► No one wants, you can't have in your house a 157-inch TV.

00:15:46 ◼   ► It's just too big.

00:15:47 ◼   ► So, anyway, this doesn't do full 4K, but it's enough to see all the pixels in, like, a widescreen movie.

00:15:53 ◼   ► Because widescreen movies already have the letterbox things above and below.

00:15:56 ◼   ► And this just has smaller letterbox things above and below.

00:15:59 ◼   ► The installation was fun.

00:16:01 ◼   ► So, to get this installed, he needed three power drops to that wall and a dedicated 15-amp circuit.

00:16:07 ◼   ► So, it's not even like you just plug it in once.

00:16:09 ◼   ► Because, remember, they're 27-inch panels, and they all need to be powered.

00:16:13 ◼   ► He needed 18 Cat6 Ethernet wires to run to all the different panels.

00:16:19 ◼   ► Oh, my God.

00:16:19 ◼   ► And that was all run to a controller in a separate room.

00:16:22 ◼   ► And then he just put three-quarter-inch plywood over the entire wall mounted to the studs that he's going to now mount all of the panels onto.

00:16:29 ◼   ► You should watch the installation.

00:16:32 ◼   ► It's quite a thing.

00:16:32 ◼   ► It's bananas.

00:16:33 ◼   ► This video was relatively long.

00:16:36 ◼   ► I forget exactly how long it was, like 20, 30 minutes.

00:16:37 ◼   ► But it was bananas watching this installation happen.

00:16:41 ◼   ► Because he didn't literally bring that wall down to the studs for the most part, but he kind of sort of did.

00:16:47 ◼   ► Like, there was a lot of work.

00:16:48 ◼   ► Yeah, because he had to get all the Ethernet cables in there and all the power.

00:16:50 ◼   ► And, like, the wall wasn't set up in this way before.

00:16:53 ◼   ► And so, it just really needed to be ripped up.

00:16:54 ◼   ► So, the performance, if you do that and you pay your $5,500, what do you get?

00:16:57 ◼   ► So, the brightness is only 800 nits, but it's 800 nits on any size window.

00:17:03 ◼   ► As in, you can light up one pixel at 800 nits or you can light up all the pixels at 800 nits because they're individual panels.

00:17:09 ◼   ► And, in fact, when he did a full-screen test, it was actually 840 nits for the whole screen.

00:17:13 ◼   ► So, that's the beauty of microLED is it doesn't have these sort of brightness problems of OLED where they can't drive it that hard because the heat things will cause burning and degrade the organic components and everything.

00:17:23 ◼   ► So, OLEDs are, like, super bright in a tiny region, but when you light up the whole screen with white, it's way dimmer.

00:17:28 ◼   ► No, that's not a problem here.

00:17:30 ◼   ► Much less blooming because there's just simply less glass and stuff over the pixels.

00:17:37 ◼   ► I think there's still something over the pixels, but looking at it, it was hard to see it.

00:17:41 ◼   ► And blooming is caused by, you know, as our past thing that we just read from David Shaw was like, your own glasses, the glass on the screen, the glass that's on the front of your television, in front of the pixels, that causes blooming.

00:17:52 ◼   ► And, of course, within your eyes.

00:17:54 ◼   ► I'm sure we'll get some vision doctor to tell us the details of that in a future episode.

00:17:59 ◼   ► But this has much less blooming because there is much less glass over the individual LEDs.

00:18:06 ◼   ► I'm not sure if there's any.

00:18:07 ◼   ► It just seems like if there is, it's very thin.

00:18:08 ◼   ► Color performance, 83% BT-2020.

00:18:12 ◼   ► So, it's not 100% BT-2020 like that RGB backlight thing we saw.

00:18:16 ◼   ► 99% P3, which is still pretty good.

00:18:18 ◼   ► Almost perfect accuracy out of the chart, which is nice.

00:18:20 ◼   ► Didn't need to calibrate it or anything.

00:18:22 ◼   ► Input lag is not great.

00:18:23 ◼   ► It's like 34 milliseconds with no scaling and no processing and some weird bugs.

00:18:27 ◼   ► But realistically, about 78 milliseconds with all the features you'd actually want to use to play video games, which is not a good number for a TV.

00:18:34 ◼   ► But, you know, fine for casual play.

00:18:37 ◼   ► This is not a TV.

00:18:39 ◼   ► This is a display.

00:18:40 ◼   ► As I said before, it's a TV in quotes.

00:18:41 ◼   ► You buy this for $55,000 and what you get is an amazing screen.

00:18:45 ◼   ► But you can't watch TV on it until you add something.

00:18:48 ◼   ► It comes with this Novastar MX40 Pro display controller.

00:18:51 ◼   ► But that doesn't make it a TV.

00:18:53 ◼   ► That's just a big box in the rack that the 18 Ethernet cables run to that makes the display work.

00:18:58 ◼   ► And, you know, you calibrate it and tell it where all the panels are.

00:19:01 ◼   ► And so, it makes a full image.

00:19:02 ◼   ► But if you want it to be like a TV, you have to buy something else.

00:19:05 ◼   ► So, he added an HD Fury room HDMI signal processor for $1,000 extra dollars.

00:19:11 ◼   ► Because why not?

00:19:12 ◼   ► And this thing lets it have HDMI, CC, ARC and eARC, Dolby Vision, HDR10, Dolby Atmos, DTSX, a power button, a remote, and also a cool feature where you can do multi-view, where you can put multiple screens, you know, divide up multiple signals and put it on the giant screen.

00:19:29 ◼   ► And then, finally, you plug this thing in with all its power drops and everything and you run it.

00:19:34 ◼   ► What is the power usage like?

00:19:35 ◼   ► Well, it's 71 watts for the Novastar controller thing.

00:19:39 ◼   ► With the screen at 100% brightness, the display takes 1,200 watts.

00:19:44 ◼   ► It's like a space eater, really.

00:19:48 ◼   ► No, it's funny you say that.

00:19:50 ◼   ► It's funny you say it.

00:19:50 ◼   ► Let me interrupt you real quick.

00:19:51 ◼   ► So, when we were pre-ice slash snowpocalypse, I was trying to compute, you know, what can I run off of the tailgate battery if we just need it in a pinch?

00:20:00 ◼   ► What can I run off our gas generator, which we might talk about later, potentially?

00:20:03 ◼   ► And I have, like, a little wattmeter thing where you plug that into the wall, you plug something into the wattmeter, it shows you how much power that thing uses.

00:20:10 ◼   ► And we have a little baby space heater.

00:20:11 ◼   ► It's a little tiny space heater.

00:20:12 ◼   ► And that was something to the order of 1,300 watts.

00:20:15 ◼   ► Yeah, what is the maximum?

00:20:16 ◼   ► Is it 1,800 or something?

00:20:18 ◼   ► Like, the maximum reasonable, like, 80% capacity?

00:20:20 ◼   ► Something like that, yeah.

00:20:21 ◼   ► Yeah, but generally, like, most space heaters are around 1,300 to 1,500.

00:20:25 ◼   ► And it's like, yeah, you put one on a circuit, you don't put much else on that circuit, and that's it.

00:20:29 ◼   ► Yeah, so at 100% brightness, it's 1,200 watts.

00:20:31 ◼   ► At 30% brightness, it's still 950 watts.

00:20:34 ◼   ► So it's not even the brightness it's killing.

00:20:35 ◼   ► It is essentially driving all those little computers behind all the total 27th panels.

00:20:39 ◼   ► And this is the best one.

00:20:40 ◼   ► When the screen is off, 600 watts.

00:20:46 ◼   ► It's 600, it's like a gaming PC at full tilt when it's off.

00:20:51 ◼   ► What is it doing?

00:20:53 ◼   ► Well, the displays are off, but the tiny computers that are behind every single one of those little 27-inch panels are still running.

00:21:00 ◼   ► They don't sleep them?

00:21:02 ◼   ► Yeah, seriously.

00:21:03 ◼   ► This is what he measured.

00:21:05 ◼   ► 600 watts when the screen is off.

00:21:07 ◼   ► Oh, my God.

00:21:07 ◼   ► I mean, maybe they go to sleep eventually.

00:21:09 ◼   ► But anyway, like he said, if you have 55 grand for a TV, maybe you don't care about the 20 cents per hour it costs to leave it in its off state.

00:21:17 ◼   ► You should watch the video, though.

00:21:18 ◼   ► The picture is amazing.

00:21:20 ◼   ► It is sad that he can't get full 4K on a TV screen that covers his entire wall and is 157-inch diagonal.

00:21:28 ◼   ► The colors are amazing.

00:21:30 ◼   ► The brightness is amazing.

00:21:31 ◼   ► It's really cool, but it's 55 grand.

00:21:35 ◼   ► And this is not like the highest end or whatever.

00:21:38 ◼   ► I think the company's claim to fame is they make affordable ones.

00:21:41 ◼   ► They found a good way to make these small components.

00:21:43 ◼   ► But this is a really complicated, fancy DIY thing.

00:21:46 ◼   ► And I feel like these type of screens are really aimed towards so you're a multi-bazillionaire and you have a giant mansion and you have a theater room and you want to put something the size of a movie screen in it.

00:21:56 ◼   ► Yeah.

00:21:56 ◼   ► These look better than a projector.

00:21:58 ◼   ► He spent a long time.

00:21:59 ◼   ► I guess he does projectors on his channel.

00:22:00 ◼   ► He spent a long time saying, look, here's how this compares to a projector.

00:22:04 ◼   ► Projectors suck compared to projectors.

00:22:07 ◼   ► There's no planet on which a projector can have the contrast and like bright room viewability because projectors, you need to be in the dark.

00:22:14 ◼   ► Like, as he pointed out, a projector will never be darker than the screen you're projecting on.

00:22:19 ◼   ► Like, how can it be?

00:22:20 ◼   ► You're adding light to light that's already bouncing off a screen.

00:22:23 ◼   ► So if all the lights are on in the room and you have a screen in front of you, whatever brightness that screen is, you're only going to add to the brightness by projecting light onto it.

00:22:31 ◼   ► You'll never get the good, which is why you have to make it dark for projectors.

00:22:34 ◼   ► And this doesn't have that problem at all.

00:22:35 ◼   ► It's got perfect blacks, doesn't suffer from burn in, has 800 nits of brightness, which doesn't sound like a lot.

00:22:41 ◼   ► But when it's 800 nits full field, that's still pretty decent.

00:22:43 ◼   ► Yeah, this definitely looks cool.

00:22:45 ◼   ► I would love to have one of these if I had a giant mansion and a giant wall where I could fit it on there.

00:22:50 ◼   ► But there's no way I would pay 55 grand for something that's not full 4K.

00:22:53 ◼   ► So for what it's worth, I have three 5K panels that I'm looking at right now.

00:22:59 ◼   ► I have a six-bay Synology.

00:23:00 ◼   ► I have some Ubiquiti Network media all hanging off of my whatever it is, tech power, the UPS that Marco likes.

00:23:08 ◼   ► Cyber power.

00:23:10 ◼   ► Cyber power, yeah.

00:23:11 ◼   ► I couldn't remember the name of it.

00:23:12 ◼   ► Thank you.

00:23:12 ◼   ► And from what I can tell on the little screen on the front of it, I'm using about 300 watts.

00:23:16 ◼   ► And that's with all three of them lit up, the Synology chugging away.

00:23:19 ◼   ► And that's half of what this thing uses when it's turned off.

00:23:22 ◼   ► It's turned off sitting on there.

00:23:23 ◼   ► Yep, yep.

00:23:23 ◼   ► It's incredible.

00:23:25 ◼   ► And don't forget the other room you need to have with the server rack where you run the controller and the thing that turns it into a TV and you run all the cables to it and everything.

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00:25:16 ◼   ► Let's talk about Claude Code and AI ethics.

00:25:23 ◼   ► And I don't know, John, how you want to introduce this, how you want to talk about it.

00:25:26 ◼   ► But what are we talking about here?

00:25:28 ◼   ► Well, so I think the past couple episodes I've been talking about my experiments with Claude Code.

00:25:33 ◼   ► And if you've listened to the show for a while, you would have heard in the past, I guess, year or so or two maybe.

00:25:38 ◼   ► Well, when we first started talking about LLMs and ChatGPT and stuff, a lot of our early episodes about that were like on the topic of how did they get this training data?

00:25:50 ◼   ► What is the legal and ethical and moral ramifications of training on the world's data and then charging people to use it?

00:26:00 ◼   ► I think we talked about like the Miyazaki like image generation thing in ChatGPT.

00:26:05 ◼   ► It's like that that product cannot exist and has no value without first stealing all the works of Hayao Miyazaki.

00:26:12 ◼   ► But then it's like, OK, but is it stealing?

00:26:14 ◼   ► Is it fair use?

00:26:16 ◼   ► What are the you know, what are the courts going to say about it?

00:26:18 ◼   ► We spent a long time talking about that.

00:26:20 ◼   ► And I think if you've tuned in recently, you might be like, oh, they keep talking about AI, but they never talk about any of these other issues, including like what does it mean for people's jobs?

00:26:27 ◼   ► And, you know, worker exploitation and what about, you know, the bubble and possible economic crashes and what about the environment and all the power of these things?

00:26:35 ◼   ► We've talked about all these issues before, but it was a little while ago.

00:26:39 ◼   ► And that's kind of that's kind of what we mostly focused on before the product before we actually started using the products and before the products sort of came to be broadly useful instead of like a technical curiosity.

00:26:48 ◼   ► And then recently I was talking about cloud code.

00:26:50 ◼   ► So a lot of people wrote in to say, hey, what about all these what about all these other factors?

00:26:54 ◼   ► Like, yeah, it's great that you enjoy cloud code, but what about all the data they're still going to train it on?

00:26:58 ◼   ► What about the environment?

00:26:59 ◼   ► What about eliminating jobs?

00:27:00 ◼   ► What about the bubble bursting?

00:27:02 ◼   ► You know, what about these tools being used for propaganda and oppression?

00:27:06 ◼   ► You know, like you guys should talk about that.

00:27:08 ◼   ► And part of my answer is we have talked about that a lot in the past.

00:27:11 ◼   ► But the second part is this item here, which is we should continue to talk about it.

00:27:15 ◼   ► And what I wanted to say on this topic is that none of those things are resolved.

00:27:18 ◼   ► Like, yeah, we did not come to any conclusions and it's not like the world figured it out.

00:27:25 ◼   ► And now we have a set of laws and rules and everything is fine.

00:27:28 ◼   ► And we're sure it's nope.

00:27:29 ◼   ► None of that is resolved.

00:27:31 ◼   ► Like there there are various court cases that are happening, but it remains a completely open question.

00:27:37 ◼   ► How bad is it going to be for jobs?

00:27:39 ◼   ► Are they going to work out legalities?

00:27:41 ◼   ► Is are the reality is going to bankrupt things?

00:27:43 ◼   ► Remember, we talked about like people like three thousand dollars per book that was stolen, but it was only because those books were stolen.

00:27:47 ◼   ► But the judge otherwise said the training on books that you didn't steal is fair use.

00:27:50 ◼   ► These laws, there's there are many cases still winding their way through the courts about various big companies like the New York Times and Disney or whatever suing the AI companies.

00:27:58 ◼   ► We don't know how this is going to turn out.

00:28:00 ◼   ► And that's just in the US.

00:28:01 ◼   ► So, you know, we are talking about, you know, using these products and trying them out or whatever.

00:28:06 ◼   ► But it's not as if all those other issues went away, nor have they been resolved.

00:28:11 ◼   ► And by resolved, I mean, my personally, I mean, we're resolved.

00:28:14 ◼   ► I mean, like figured out in a way that is sustainable that we say, OK, we have a set of rules and guidelines around this.

00:28:21 ◼   ► And we think if we continue along this path, people will be fairly compensated for their work.

00:28:26 ◼   ► It won't disincentivize creation.

00:28:28 ◼   ► It won't cause the end of humanity or whatever other, you know, like, but no, we haven't figured out the right set of those things.

00:28:33 ◼   ► We don't know.

00:28:34 ◼   ► It could be that letting all these companies take all the world's work and then sell it and become, you know, they could become huge, powerful companies that dwarf any company before known by man.

00:28:43 ◼   ► And we let them steal all of our other content.

00:28:45 ◼   ► And it turns out that was a terrible idea.

00:28:46 ◼   ► We don't know yet.

00:28:47 ◼   ► So I don't have any answers here.

00:28:49 ◼   ► And this is not, you know, we're not going to like dwell into any of these topics.

00:28:52 ◼   ► But you'll be hearing more stories about how this court case turned out.

00:28:55 ◼   ► And are these people unpaid?

00:28:56 ◼   ► And what is happening with open AI?

00:28:57 ◼   ► And, you know, like, and it has the bubble burst.

00:29:00 ◼   ► And are they really using all those GPUs?

00:29:01 ◼   ► And should they be stealing everything?

00:29:02 ◼   ► And how, you know, how bad is it for the environment?

00:29:04 ◼   ► And what is XAI doing in Memphis, putting giant gas generators outside their big data centers?

00:29:09 ◼   ► Like, that is all still happening.

00:29:11 ◼   ► And you may, I know there are a lot of people who are on the extreme side of this to say, okay, that means you should never use AI at all.

00:29:18 ◼   ► And you should not use these products.

00:29:19 ◼   ► And you shouldn't talk about them.

00:29:20 ◼   ► And you should be an abolitionist.

00:29:22 ◼   ► And you should throw yourself into the gears of the machine or whatever.

00:29:25 ◼   ► Everyone's got to find out where they think is the right place to be along that spectrum.

00:29:29 ◼   ► And I think we're all kind of figuring it out, especially since we don't actually know how bad it may be, right?

00:29:36 ◼   ► We don't know what will the consequences be of putting all this, them stealing all this information and selling it into product.

00:29:44 ◼   ► Everyone is kind of used to the set of rules that we're used to that you were born with.

00:29:47 ◼   ► Like, how does copyright work?

00:29:48 ◼   ► And how does it work for music and books and movies?

00:29:50 ◼   ► And, like, you just accept those as, like, that's just the way things are.

00:29:53 ◼   ► But anything new is scary and weird.

00:29:55 ◼   ► But if you look into any of the other things, like for television and music and writing and you name it,

00:30:03 ◼   ► the systems we have now are very imperfect and are not particularly any more just or well-adjusted than, you know,

00:30:10 ◼   ► the perfect thing you have in your mind is just what you're used to.

00:30:12 ◼   ► So that's my personal answer on this is that I don't know how this is going to turn out.

00:30:16 ◼   ► But I am not an abolitionist and I'm not totally against looking into it because I recognize that it's not actually particularly different than all the other forms of technology that have come before it.

00:30:29 ◼   ► And I hope we figure it out and I'm fighting for this to be something sustainable.

00:30:34 ◼   ► But I don't think saying that we should never, ever use this stuff is the right solution for right position for me personally.

00:30:42 ◼   ► I would go a little further and just say, like, we don't have a choice.

00:30:49 ◼   ► This is here.

00:30:50 ◼   ► This is happening.

00:30:52 ◼   ► It's happening with or without us.

00:30:54 ◼   ► And it's happening to all of us.

00:30:57 ◼   ► You can decide to sit it out.

00:30:59 ◼   ► But what that's going to mean is sitting out the technology business for the foreseeable future.

00:31:05 ◼   ► And that's a decision you can make.

00:31:07 ◼   ► Like, that's entirely up to you as a technology user.

00:31:12 ◼   ► As a consumer, like, you can do that.

00:31:14 ◼   ► But if you sit out AI, if you condemn the whole thing, and as John said, like, there's lots of tricky, like, moral arguments and legal arguments.

00:31:24 ◼   ► Like, I could see why somebody would condemn the whole thing.

00:31:27 ◼   ► But this is the tech business for the foreseeable future.

00:31:32 ◼   ► You can be a part of it or you can fall behind.

00:31:34 ◼   ► Like, if you are in the tech business and you want to continue to be in the tech business, you kind of have to get on board in some capacity.

00:31:43 ◼   ► Or at least you have to be okay with it and recognize, like, this is a massive force that is transforming not only our industry, but many industries, you know, soon.

00:31:55 ◼   ► Or currently.

00:31:55 ◼   ► Like, it's here.

00:31:57 ◼   ► It's big.

00:31:59 ◼   ► It's going to keep being big.

00:32:00 ◼   ► And no matter what happens in the short term, like, if, you know, if the bubble pops, you know, people are saying that.

00:32:07 ◼   ► And look, there's a bunch of really, you know, massive amounts of money and ordering and speculation and finance tricks going around.

00:32:14 ◼   ► But at the end of the day, if what we have right now is all it ever is, this is already incredibly useful and incredibly valuable to solve lots of people's problems, even if it never gets any better than what it is right now today.

00:32:29 ◼   ► And that's not the case.

00:32:31 ◼   ► Of course, it's going to get better.

00:32:32 ◼   ► So this revolution is here.

00:32:35 ◼   ► You can choose not to be part of it, but what that will mean is sitting out the technology business for the foreseeable future.

00:32:41 ◼   ► Yeah, and you can choose to not be in the technology business because you're against it, just like choosing not to be in, like, the cattle business because you don't want to eat meat, right?

00:32:49 ◼   ► That makes perfect sense.

00:32:51 ◼   ► And also, I think there's an equally valid position to stay in the tech business and lobby against it or lobby for, you know, better fit, more fair rules, just as people in the technology industry currently lobby for more fair rules for, like, paying artists for their music streams on Spotify or whatever.

00:33:07 ◼   ► Like, it's possible to be to stay in it and fight for a more just rollout of this technology.

00:33:13 ◼   ► Like, I was, my parents were asking me about AI recently.

00:33:17 ◼   ► I think it's finally penetrated the boomers.

00:33:19 ◼   ► And they wanted me to explain the whole situation to them.

00:33:21 ◼   ► And the analogy I use for them is one I've also used in a couple of emails that I've responded from ATP.

00:33:25 ◼   ► It's like, it's a lot like the Industrial Revolution.

00:33:27 ◼   ► Whether I was like, is it a net good or a net bad?

00:33:30 ◼   ► The Industrial Revolution caused incredible short-term harms and long-term harms.

00:33:36 ◼   ► Short-term, filled the cities with smog, exploited workers.

00:33:39 ◼   ► People got cancer from all the chemicals it was putting into the environment.

00:33:42 ◼   ► It was just terrible.

00:33:43 ◼   ► Like, people who was out in the fields working are now, like, children are in factories with their faces covered with soot.

00:33:48 ◼   ► You know, all of London is in a giant black cloud.

00:33:51 ◼   ► People losing their jobs left and right because machines were replacing them, right?

00:33:54 ◼   ► And then long-term, there was incredible long-term harms from the Industrial Revolution.

00:33:59 ◼   ► Climate change.

00:34:00 ◼   ► I mean, even though people were kind of picking up, that was probably going to be a thing very early on.

00:34:05 ◼   ► It's like, ah, but it'll be fine.

00:34:07 ◼   ► Look, the factories are getting cleaner.

00:34:09 ◼   ► We have child labor laws now.

00:34:10 ◼   ► I'm sure it's smooth sailing from here.

00:34:12 ◼   ► And then, you know, like, ah, it seems like the planet's getting warmer.

00:34:17 ◼   ► It's like, no, it's fine.

00:34:17 ◼   ► It'll be fine.

00:34:18 ◼   ► It wasn't fine, right?

00:34:20 ◼   ► But on the flip side, electric lighting, indoor plumbing, like, the ability to manufacture things.

00:34:28 ◼   ► Like, the Industrial Revolution had tremendous downsides that are actually very similar to the downsides of the computer revolution,

00:34:36 ◼   ► the Internet revolution, and now the AI revolution.

00:34:38 ◼   ► And that doesn't mean that it's like, you should just accept it because there's good parts of it, too.

00:34:42 ◼   ► No, you have to fight against the bad parts.

00:34:44 ◼   ► You have to get the pollution out of the cities.

00:34:46 ◼   ► You have to come up with cleaner energy.

00:34:47 ◼   ► You have to implement child labor laws.

00:34:49 ◼   ► You have to get the lead out of the pipes.

00:34:51 ◼   ► You have to not let people build with asbestos.

00:34:53 ◼   ► Like, you have to do all of those things.

00:34:56 ◼   ► And I feel like a lot of the people who are fighting against AI, quote, unquote, against AI, are simply trying to make it so that the children aren't in the factories.

00:35:04 ◼   ► And then we stop putting soot into the air and chemicals into the rivers, right?

00:35:08 ◼   ► And the tricky thing with AI is that because it's so new and weird, it's not as clean cut as, like, hey, don't put the runoff from your factory into our river.

00:35:18 ◼   ► Like, that was straightforward, and it still took, like, decades to make any appreciable progress on because rich people are mean.

00:35:25 ◼   ► But, like, and we're in the same situation here, billionaires controlling this AI, right?

00:35:28 ◼   ► But it's not entirely clear, like, is it possible to build a sustainable society where they steal all of the – well, they train on the world's work and then profit from it but don't give anything back?

00:35:40 ◼   ► Is that – can we build a sustainable system out of that?

00:35:42 ◼   ► Or do we have to, you know, have lawsuits where people get paid for the stuff and they have to work?

00:35:47 ◼   ► Like, we don't know.

00:35:48 ◼   ► We don't know how it's going to turn out.

00:35:49 ◼   ► It's not as straightforward as child labor and pollution, but it is very similar in that it's unclear whether it will be a net good or a net bad at any given point because I would say the Industrial Revolution was a net evil for a long time before it was like, okay, well, I guess having, you know, like, machines and factories and manufactured goods and, you know, all that other stuff is actually pretty good.

00:36:10 ◼   ► But for a long time, it was really bad.

00:36:13 ◼   ► And then all of a sudden, now with climate change, like, oh, we thought we were over the hill, but we're not.

00:36:18 ◼   ► We did and we made some terrible choices and now the chickens are coming home to roost generations later, right?

00:36:22 ◼   ► So who knows?

00:36:23 ◼   ► AI could be like that as well.

00:36:24 ◼   ► But all this is to say is that it's complicated.

00:36:26 ◼   ► It's not resolved.

00:36:28 ◼   ► And just because we talk about it in a nice way and say we had fun working with Claude Code and we're going to talk more about AI stock now doesn't mean we think everything's fine.

00:36:34 ◼   ► There's no reason to look anywhere else.

00:36:36 ◼   ► There are no other issues.

00:36:37 ◼   ► That's not true.

00:36:38 ◼   ► All the issues remain and are difficult.

00:36:40 ◼   ► Yeah.

00:36:41 ◼   ► I was going to say earlier, and then I think, Marco, you beat me to it, that it would be irresponsible for at least the three of us not to explore this because of both of our professions, both the clickety-clacking and the yakety-yacking in that, you know, it is expected that we are going to be more efficient with the work that we do on our apps.

00:37:00 ◼   ► And I think that leveraging these tools is kind of table stakes, which is what Marco was saying.

00:37:05 ◼   ► And additionally, for us to stick our heads on the ground and not be aware of this and try it at least some is, I think, irresponsible for the show.

00:37:14 ◼   ► And I think that it is literally our jobs to at least kick the tires and see what this is all about.

00:37:21 ◼   ► And like John said, and like Marco said, it doesn't make any of this, like, a perfect situation.

00:37:27 ◼   ► It doesn't mean that we're excusing all of the ills.

00:37:31 ◼   ► But, you know, the genie's out of the bottle.

00:37:34 ◼   ► And we just got to – at this point, I feel like we have no choice but to at least participate in it to some degree.

00:37:41 ◼   ► I don't see it as like we have no choice and there's no fighting it or whatever.

00:37:43 ◼   ► I think there is fighting it.

00:37:44 ◼   ► And I think it's equally our responsibility to continue to highlight the problems, right?

00:37:48 ◼   ► Just as much as it's our responsibility to know about the technology just for our programming jobs and for our tech podcasting job, it is also our responsibility to continue to acknowledge and fight against the worst of the excesses and try to, you know, do the equivalent of stopping the factories from putting their runoff into the river and, you know, get the smog out of the skies and all the other stuff.

00:38:07 ◼   ► Because there's so many equivalents to that in AI and there will be – like we don't even know what the long-term harms are going to be.

00:38:13 ◼   ► Like we don't know what the climate change equivalent is, but we know the job loss, pollution, exploitation, propaganda – like the printing press.

00:38:20 ◼   ► The printing press was a pretty good invention, but boy, did it empower propaganda.

00:38:23 ◼   ► So many harms came from the printing press, but also good.

00:38:26 ◼   ► But that doesn't mean to say, well, the printing press is here.

00:38:28 ◼   ► There's no sense fighting it.

00:38:29 ◼   ► Propaganda is going to be everywhere.

00:38:30 ◼   ► No, fight it.

00:38:31 ◼   ► Fight it.

00:38:32 ◼   ► Fight it.

00:38:32 ◼   ► But you're never – you're not going to get rid of – getting rid of the printing press is not the solution.

00:38:36 ◼   ► But you know what I mean?

00:38:37 ◼   ► Like anyway.

00:38:37 ◼   ► How do you feel about CDRs?

00:38:40 ◼   ► Well, luckily we don't have to worry about them because they're gone, baby.

00:38:43 ◼   ► S tier.

00:38:44 ◼   ► That's all I'm saying.

00:38:44 ◼   ► No, it's worth us noting.

00:38:47 ◼   ► And I think, John, you would put a link – this is kind of tangentially related – but you would put a link to – a friend of the show, even though I don't think he knows any of us.

00:38:55 ◼   ► I don't think any of us know him.

00:38:57 ◼   ► But Alec from Technology Connections put together a 90-minute video that is ostensibly about renewable energy, and I definitely learned a lot from this.

00:39:06 ◼   ► And that's the first 60 minutes.

00:39:08 ◼   ► And the last 30 minutes, continue with renewable energy, and then things take a turn.

00:39:15 ◼   ► And I beg of you, if you can give 90 minutes to this, I genuinely think it is well worth your time.

00:39:23 ◼   ► If you can only give 30, though, start when he's kind of rolling the credits, so to speak, and he shows all the Patreon supporters and all that, and just pick it up right there.

00:39:31 ◼   ► And you will – well, I don't think you'll be disappointed.

00:39:35 ◼   ► And you will either be shouting, hell yeah, or hopefully you will reconsider some of your priors.

00:39:40 ◼   ► But this video is incredible.

00:39:42 ◼   ► The only reason I put it in here is because it's a good – it's one of the things that I think about when considering the environmental impact of AI.

00:39:49 ◼   ► As I've said on past shows, I'm perfectly happy to expend energy production of humanity on things that are useful for humanity.

00:39:57 ◼   ► So I'm good with power plants heating my home, right, and providing lights because I think those are good things, right, keeping lights on the roads at night for safety and stuff.

00:40:09 ◼   ► Yeah, crypto, stupid, but AI, valuable.

00:40:12 ◼   ► Yeah, we generate power to do things that are useful for us.

00:40:15 ◼   ► And it's a question of, okay, but AI is taking too much power and it's not useful enough or whatever.

00:40:19 ◼   ► I view it mostly as the energy generation problem is a separate thing.

00:40:26 ◼   ► No, we should not be burning coal.

00:40:27 ◼   ► Yes, we should be using solar panels and renewables and we're doing a terrible job of that in our country and we apologize.

00:40:32 ◼   ► But this video is good at addressing, like, technologically speaking, things actually do look vaguely hopeful.

00:40:39 ◼   ► If you don't – not if you don't look – if you look at the U.S., things look miserable.

00:40:42 ◼   ► But if you look at the rest of the world, renewables are kicking butt.

00:40:45 ◼   ► And if you haven't been keeping up with this, this video from Technology Connections is a great overview of, like, just how good have a renewable's got?

00:40:51 ◼   ► It was another one I forgot to get the URL for, but, like, it was a recent story that a wind farm in, like, Ireland or something,

00:40:56 ◼   ► was being shut down.

00:40:58 ◼   ► They had, like, 21 turbines.

00:40:59 ◼   ► Oh, yeah, yeah, yeah.

00:41:00 ◼   ► They had 21 turbines that had been put up in the 90s.

00:41:02 ◼   ► They were shutting the wind farm down and they were replacing those 21 turbines with new ones.

00:41:06 ◼   ► And every single new turbine they put in produces more power than all 21 of the old ones combined.

00:41:13 ◼   ► That's progress.

00:41:14 ◼   ► That's incredible.

00:41:14 ◼   ► Since the 90s.

00:41:15 ◼   ► That is progress.

00:41:16 ◼   ► Anyway, watch this video.

00:41:17 ◼   ► The political rant at the end, I don't think we'll convince anybody that doesn't already agree with it.

00:41:21 ◼   ► But if you do already agree with it, it can be cathartic.

00:41:24 ◼   ► We are sponsored this episode by Masterclass.

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00:43:20 ◼   ► All right, let's do some topics.

00:43:21 ◼   ► And we have to re-enter Vision Pro Corner.

00:43:24 ◼   ► And now I have a buddy.

00:43:25 ◼   ► And so, John, did you watch both episodes of Top Dog?

00:43:29 ◼   ► I did.

00:43:30 ◼   ► I watched the dogs.

00:43:31 ◼   ► I've watched the dogs as well.

00:43:32 ◼   ► That's the whole thing, right?

00:43:33 ◼   ► It was just those two episodes?

00:43:34 ◼   ► That's right.

00:43:35 ◼   ► I thought we were getting like a sample, but it was just two and done, right?

00:43:37 ◼   ► Yeah, I think it's like a sum total of around 30 minutes, give or take a little bit, if I recall correctly.

00:43:42 ◼   ► But yeah, it's about the, what is it, Crufts or something like that?

00:43:46 ◼   ► Yeah, so CRU is like the thing in your code where you got like some old junky code.

00:43:50 ◼   ► You said you got a lot of Cruft in this code.

00:43:52 ◼   ► It's CRUFTS.

00:43:54 ◼   ► It is the world's biggest and oldest dog show.

00:43:56 ◼   ► That's right.

00:43:57 ◼   ► It takes place in Birmingham, I believe.

00:43:59 ◼   ► And this was an immersive two-episode show about that dog show.

00:44:05 ◼   ► And I know I've been through this a hundred times.

00:44:07 ◼   ► Please just indulge me.

00:44:08 ◼   ► 2D is, you know, your television.

00:44:10 ◼   ► 3D is a rectangle that has depth.

00:44:13 ◼   ► And immersive means not only is there depth, but you can actually look around and change your perspective, which you can't do in 3D.

00:44:20 ◼   ► In 3D, you're just, you're, you're.

00:44:21 ◼   ► Every time you say that, like my bristle, because it's the wrong, it's fine.

00:44:25 ◼   ► Just go on.

00:44:26 ◼   ► I am happy, John, for you to give me a better way.

00:44:28 ◼   ► I know what you mean.

00:44:29 ◼   ► I know what you mean.

00:44:30 ◼   ► I would just phrase it in a different way.

00:44:32 ◼   ► Well, I'll work on that.

00:44:34 ◼   ► I'll take that as a homework assignment.

00:44:35 ◼   ► But anyway, this was entertaining.

00:44:38 ◼   ► I mean, I am not dog obsessed.

00:44:40 ◼   ► I really enjoy my dog.

00:44:42 ◼   ► I generally enjoy dogs as a point of order, but nothing about this.

00:44:47 ◼   ► Like, I don't watch dog shows.

00:44:49 ◼   ► So that I don't really care about.

00:44:51 ◼   ► But this was, to my eyes, very clearly either directed or edited or both by someone who has only ever done 2D content and has no freaking clue how to do immersive content.

00:45:03 ◼   ► And Marco and Ben Thompson, friend of the show, have banged the drum over and over again that you cannot cut.

00:45:10 ◼   ► Cut or if you do, you have to do it extremely sparingly.

00:45:12 ◼   ► We also spoke about this with regard to basketball.

00:45:15 ◼   ► Generally speaking, I think that Marco and Ben are a little too far in one direction and that I think a cut here and there is fine.

00:45:24 ◼   ► This, to me, was brutal.

00:45:27 ◼   ► It was all the things that Marco and Ben are always talking about.

00:45:30 ◼   ► It was a cut every few seconds.

00:45:31 ◼   ► The camera moved a lot more than I think it should have because that's kind of, and I've said this before, I don't really ever get motion sick.

00:45:38 ◼   ► But when the camera's moving, it kind of gives you the feeling.

00:45:42 ◼   ► I really feel like this was basically a three, it was created and cut such that it was more 3D than it was immersive.

00:45:52 ◼   ► Literally speaking, it was immersive.

00:45:54 ◼   ► As I turn my head, I can see different parts of the scene in front of me.

00:45:58 ◼   ► But in terms of the way it was presented, it was basically 3D.

00:46:03 ◼   ► There was very little that was, like, fun and cool that you could get by just turning your head to one side or the other.

00:46:10 ◼   ► And that was really disappointing to me because I really love the immersive stuff.

00:46:14 ◼   ► And I keep banging the drum of, like, the Metallica concert was incredible.

00:46:19 ◼   ► I thought the NBA stuff was incredible.

00:46:21 ◼   ► And that, you can look around and you have the time to look around and change your perspective

00:46:27 ◼   ► and look at something that maybe the camera isn't wanting you to focus on, but you find interesting for whatever reason.

00:46:32 ◼   ► This was none of that.

00:46:34 ◼   ► And honestly, I was pretty disappointed by it.

00:46:36 ◼   ► And by the way, the language I would use for this is small FOV versus large, small field of view versus large,

00:46:41 ◼   ► but field of view in two dimensions, not just left and right, but also up and down.

00:46:44 ◼   ► And yeah, I did notice that on this thing as well because in any Vision Pro, you know, quote-unquote immersive content,

00:46:50 ◼   ► you can turn your head far enough where you see the edges of the thing.

00:46:53 ◼   ► Just often the edges are just so, like, the field of view is so large that you're looking at, like, half a sphere

00:46:57 ◼   ► or a quarter of a sphere.

00:46:58 ◼   ► And so it's really, you can turn your head way to the left, way to the light, way up, way down.

00:47:01 ◼   ► You know, you can see your feet.

00:47:03 ◼   ► You can see the sky.

00:47:04 ◼   ► Sometimes there are even 360 where the field of view is a perfect sphere and there's no place, no edge.

00:47:09 ◼   ► But usually there is an edge.

00:47:10 ◼   ► And this thing, the edges, top and bottom, were real close.

00:47:14 ◼   ► Like, you could look up and down a little bit, but you couldn't see the people's shoes.

00:47:18 ◼   ► And you couldn't see the boom mic that was inevitably hanging overhead.

00:47:21 ◼   ► Maybe that's why they cut the field of view.

00:47:23 ◼   ► And in that respect, that's why you're saying, Casey, that felt more like watching a TV show type thing.

00:47:28 ◼   ► Because in a TV show type thing, you can't look up and see the boom mic.

00:47:31 ◼   ► And you can't look down and see the people's sneakers.

00:47:32 ◼   ► You just see what they frame.

00:47:34 ◼   ► And so this was much like that top and bottom.

00:47:36 ◼   ► Left and right, there was more freedom.

00:47:37 ◼   ► I felt like, was it 180 left and right?

00:47:39 ◼   ► I don't know if it was 180.

00:47:40 ◼   ► Roughly.

00:47:40 ◼   ► It was pretty big.

00:47:41 ◼   ► Maybe, you know, I don't know.

00:47:43 ◼   ► The field of view was pretty wide, horizontally, but narrow, vertically.

00:47:46 ◼   ► The cutting didn't bother me at all.

00:47:49 ◼   ► I thought the immersive environment was a good place to see dogs, because dogs are cute when you can see them in 3D.

00:47:54 ◼   ► I would agree with that.

00:47:55 ◼   ► I think whoever made this is not very good at making a stereotypical reality TV show thing, having watched a ton of reality TV.

00:48:03 ◼   ► Like, this is just a gimme, man.

00:48:05 ◼   ► It's like a dog show.

00:48:06 ◼   ► There are personalities.

00:48:07 ◼   ► You got to give people the villain edit and the hero and the underdog.

00:48:13 ◼   ► You know, you got edited together, knowing how it ends to make it.

00:48:16 ◼   ► And they just, it wasn't, it was like, they're not very good at their job in terms of making it sort of chewing gum for your mind kind of like fluff reality show.

00:48:25 ◼   ► Like, you don't have to be mean to the participants.

00:48:26 ◼   ► You don't have to make fun of them or whatever.

00:48:27 ◼   ► Just develop drama.

00:48:29 ◼   ► And they tried, but it was so-so.

00:48:31 ◼   ► The other thing I'll say is, like, the part I was most interested in, I was hurt so much by their poor filming of it, probably because they didn't have enough cameras, which was the fly ball competition.

00:48:41 ◼   ► Oh, I know.

00:48:43 ◼   ► Where the dogs have to run and get a tennis ball and run back.

00:48:45 ◼   ► I'd never seen that before.

00:48:46 ◼   ► Same.

00:48:46 ◼   ► And I wanted to see it, and they wanted to show you the big dramatic finish.

00:48:49 ◼   ► And it's like, you didn't, you basically didn't even get it on camera.

00:48:52 ◼   ► I mean, you kind of did, but it was so far away.

00:48:54 ◼   ► It's such an awkward angle.

00:48:55 ◼   ► It's like, this is not how you film a sporting event.

00:48:57 ◼   ► They also had a bunch of times where they had straight-up 2D content, and I thought that they handled it well.

00:49:02 ◼   ► It was kind of, like, projected onto, like, a screen.

00:49:05 ◼   ► I'm not doing it justice.

00:49:07 ◼   ► Which parts are you talking about?

00:49:08 ◼   ► Like, when they would have just straight-up 2D content that they would show you, you couldn't really move your head and change the perspective.

00:49:15 ◼   ► It was just 2D content presented on a screen.

00:49:17 ◼   ► You're never changing your perspective.

00:49:18 ◼   ► You're just looking at different parts of the image.

00:49:20 ◼   ► John, just bear with me here, all right?

00:49:22 ◼   ► Changing your perspective means you'd be able to see around the back of something that you couldn't previously see, but you could never do that.

00:49:27 ◼   ► All right, you can't change your particular focus or field of view or whatever.

00:49:30 ◼   ► You're just looking at different parts of the FOV, yes.

00:49:32 ◼   ► Yes.

00:49:33 ◼   ► Anyway, the point is, there were moments, several moments, where they had just 2D footage, because I guess they didn't set up the immersive cameras or what have you.

00:49:40 ◼   ► Like, for past years or just in the show?

00:49:42 ◼   ► No, it was in the show.

00:49:42 ◼   ► That's how flat it was that I don't think I even noticed this, because there's, like...

00:49:46 ◼   ► And that's what I was going to say, is they did it really, really well.

00:49:49 ◼   ► Like, it was presented in a way that it wasn't off-putting or anything like that.

00:49:53 ◼   ► But ultimately, to your point, and what made me think of this, is that they didn't capture everything in immersive.

00:49:57 ◼   ► Like, they whiffed.

00:50:00 ◼   ► Oh, it was...

00:50:00 ◼   ► It's still very cute, but...

00:50:02 ◼   ► Another thing that I think is interesting, I mean, you're a rant on the cutting.

00:50:05 ◼   ► This is one...

00:50:05 ◼   ► I'm not sure if this is just that I'm not used to, but just be aware this is a thing you ever watch immersive.

00:50:09 ◼   ► In regular television or movies, they will do things like...

00:50:14 ◼   ► They will have the camera at varying distances to people.

00:50:16 ◼   ► So let's say someone is sitting in a chair for an interview in, like, a documentary.

00:50:19 ◼   ► You'll see them, like, from the waist up, and they'll be talking and sitting in the chair.

00:50:23 ◼   ► And then, like, for some dramatic moments, they'll have a close-up.

00:50:25 ◼   ► And you'll be seeing them just, like, their head and shoulders filling the same size frame.

00:50:29 ◼   ► That's common.

00:50:30 ◼   ► You know, a wide shot, a close-up of, you know, of people or whatever.

00:50:33 ◼   ► In immersive, because it's 3D, and because you, like, feel like you're there,

00:50:38 ◼   ► like, you could reach out and touch them, it messes with your sense of scale.

00:50:42 ◼   ► Like, they had this lady with, like, a dog on her lap.

00:50:45 ◼   ► And it was, like, close-up, like, maybe, like, from her chest up with the dog on her lap.

00:50:50 ◼   ► And then they cut back to, like, a more sort of, like, a shot where the person in the Vision Pro

00:50:57 ◼   ► was the size the person really was.

00:50:59 ◼   ► So if they're 5 feet tall, they'll look 5 feet tall in the Vision Pro.

00:51:01 ◼   ► And suddenly, the dog looked, like, way smaller.

00:51:04 ◼   ► Because before, I was closer to the dog, but I just thought it was a giant dog,

00:51:08 ◼   ► because I had no way to, like, compare scale.

00:51:10 ◼   ► Like, you see this when they get close to people's faces.

00:51:13 ◼   ► It's unnerving because it looks like a gigantic dog or head or whatever really close to you.

00:51:20 ◼   ► It doesn't, like, you know, it's just that I don't know if they can do the same thing with scale.

00:51:25 ◼   ► Because when they go close up, you don't think, that person is huge.

00:51:27 ◼   ► You just know that they're taking a tighter shot.

00:51:29 ◼   ► But when you can see them 3D, I kept thinking the dogs were bigger than they were

00:51:33 ◼   ► until I saw them, like, walking around.

00:51:34 ◼   ► I'm like, oh, no, that dog is the size of a rat.

00:51:36 ◼   ► It just looked huge because I was three inches away from it.

00:51:39 ◼   ► And it was in 3D.

00:51:40 ◼   ► And it felt like it was very strange.

00:51:43 ◼   ► So maybe that's just me having to get used to stuff like that.

00:51:46 ◼   ► But it is a weird experience to not know the size of things

00:51:49 ◼   ► because they seem like they're right in front of you.

00:51:51 ◼   ► But they're not.

00:51:52 ◼   ► It's just a picture on a screen with a big FOV.

00:51:54 ◼   ► All right, Marco, you did an experiment recently.

00:51:57 ◼   ► Tell me about that, please.

00:51:58 ◼   ► It's kind of an experiment in progress, actually.

00:52:02 ◼   ► Oh, okay.

00:52:02 ◼   ► I think this might surprise you.

00:52:05 ◼   ► Oh, gosh.

00:52:07 ◼   ► Me, personally, or just both of us?

00:52:09 ◼   ► Well, okay.

00:52:09 ◼   ► I'll try to make this quick.

00:52:13 ◼   ► I decided, you know, kind of in, like, the Cortex yearly theme arena.

00:52:18 ◼   ► This year, I wanted to focus generally on efficiency in my life.

00:52:24 ◼   ► Like, there's a bunch of, you know, just kind of cruft I've built up over the years,

00:52:29 ◼   ► friction I've tolerated over the years,

00:52:32 ◼   ► that I'm trying to just kind of find inefficiencies

00:52:36 ◼   ► and consider whether I want to keep them that way or not.

00:52:40 ◼   ► You know, I'm not, like, being ruthless, you know,

00:52:43 ◼   ► trying to cut every single efficiency,

00:52:45 ◼   ► but just kind of be aware of inefficiencies,

00:52:47 ◼   ► think about them, consider whether I want to make a change,

00:52:52 ◼   ► and then if I want to, then, you know, then make a change.

00:52:54 ◼   ► Will I jump in for a second here?

00:52:56 ◼   ► I'm thinking in my head,

00:52:57 ◼   ► what inefficiencies does Marco have in his life?

00:53:00 ◼   ► And I'll be honest, not a lot is jumping to mind.

00:53:02 ◼   ► Like, you don't strike me.

00:53:04 ◼   ► Like, you're not the kind of person to tolerate inefficiencies,

00:53:08 ◼   ► so I can't wait to hear.

00:53:09 ◼   ► Do you have any ideas before he tells us what he's talking about?

00:53:11 ◼   ► Casey, what inefficiencies are in Marco's life?

00:53:14 ◼   ► Like, it seems like there's not a lot.

00:53:15 ◼   ► I'm struggling.

00:53:18 ◼   ► Like, there's more inefficiency in my life, for sure.

00:53:21 ◼   ► I feel like...

00:53:22 ◼   ► I mean, like, I have two houses.

00:53:24 ◼   ► Like, that's never efficient.

00:53:25 ◼   ► But, like, you have so much less stuff

00:53:30 ◼   ► than I do, and it's like, you don't...

00:53:31 ◼   ► Oh, I don't think that's necessarily the case.

00:53:33 ◼   ► But just, it just, like, I don't...

00:53:35 ◼   ► Well, I've got nothing.

00:53:37 ◼   ► I just, your life always seems like

00:53:39 ◼   ► the model of efficiency to me.

00:53:40 ◼   ► Oh, my God.

00:53:41 ◼   ► Then yours must be a disaster.

00:53:43 ◼   ► It is.

00:53:44 ◼   ► I've seen the basement of the beach house,

00:53:46 ◼   ► and I wouldn't say that there's

00:53:49 ◼   ► unreasonable things down there,

00:53:50 ◼   ► but in the basement,

00:53:51 ◼   ► there was a lot of things down there,

00:53:53 ◼   ► for, as an example.

00:53:53 ◼   ► We're thinking of things, though.

00:53:55 ◼   ► That's not just the...

00:53:55 ◼   ► Like, inefficiency is like, you know,

00:53:57 ◼   ► every day I come home,

00:53:58 ◼   ► I have to do this thing,

00:53:59 ◼   ► because the knob sticks,

00:54:01 ◼   ► and I just deal with it,

00:54:02 ◼   ► and the lights don't turn on, right?

00:54:03 ◼   ► And Marco doesn't tolerate that.

00:54:05 ◼   ► He gets it fixed.

00:54:05 ◼   ► That's the kind of thing

00:54:06 ◼   ► I'm thinking about.

00:54:07 ◼   ► All right.

00:54:07 ◼   ► Well, maybe there's things in your life

00:54:08 ◼   ► that we don't know about,

00:54:09 ◼   ► but it seems...

00:54:10 ◼   ► I mean, your computer stuff

00:54:11 ◼   ► and your technology stuff

00:54:11 ◼   ► seems pretty efficient.

00:54:12 ◼   ► Well, except...

00:54:13 ◼   ► The only thing I can think of

00:54:15 ◼   ► is something to do with cellular

00:54:16 ◼   ► and travel and hotspots

00:54:19 ◼   ► and things of that nature.

00:54:20 ◼   ► That's fine.

00:54:20 ◼   ► Of course, your mind would go there.

00:54:22 ◼   ► Well, I mean, Marco and I...

00:54:24 ◼   ► I mean, he can get rid of the Vision Pro,

00:54:25 ◼   ► but he was the first of us

00:54:27 ◼   ► to get rid of his Synology

00:54:28 ◼   ► or just essentially stop using it

00:54:29 ◼   ► because it didn't fit into his

00:54:30 ◼   ► ruthlessly efficient technology life.

00:54:33 ◼   ► You were giving me

00:54:33 ◼   ► a lot more credit

00:54:34 ◼   ► than I deserve for efficiency.

00:54:36 ◼   ► All right.

00:54:36 ◼   ► Well, go ahead.

00:54:36 ◼   ► All right.

00:54:37 ◼   ► Let's hear what you got.

00:54:38 ◼   ► So, this is...

00:54:40 ◼   ► I'm looking at a bunch

00:54:40 ◼   ► of different things this year.

00:54:41 ◼   ► I mean, I'm looking at Overcast,

00:54:43 ◼   ► like, you know,

00:54:44 ◼   ► just like, you know,

00:54:45 ◼   ► the hosting stack of Overcast

00:54:47 ◼   ► is, you know, pretty inefficient.

00:54:49 ◼   ► Okay.

00:54:49 ◼   ► I should have thought of that.

00:54:50 ◼   ► You're right.

00:54:51 ◼   ► That is inefficient.

00:54:51 ◼   ► Yeah.

00:54:52 ◼   ► There's stuff there.

00:54:54 ◼   ► You know, I'm looking into,

00:54:54 ◼   ► you know, doing more with,

00:54:56 ◼   ► you know, like S3 type things

00:54:57 ◼   ► with Cloudflare,

00:54:58 ◼   ► like, you know,

00:54:58 ◼   ► trying, you know,

00:54:59 ◼   ► different things there

00:55:00 ◼   ► that I'm going to look at

00:55:01 ◼   ► throughout the year.

00:55:01 ◼   ► There's...

00:55:03 ◼   ► I mentioned very briefly

00:55:04 ◼   ► last episode

00:55:05 ◼   ► that I was looking at

00:55:07 ◼   ► some like financial planning stuff

00:55:09 ◼   ► and there was some inefficiencies

00:55:10 ◼   ► in like how I was managing investments

00:55:12 ◼   ► and I've been working on

00:55:13 ◼   ► those recently.

00:55:14 ◼   ► But one other thing

00:55:18 ◼   ► that just has been bothering me

00:55:19 ◼   ► a lot recently

00:55:20 ◼   ► is

00:55:22 ◼   ► how badly

00:55:24 ◼   ► 1Password

00:55:27 ◼   ► and Safari

00:55:28 ◼   ► work together.

00:55:29 ◼   ► Oh, goodness.

00:55:31 ◼   ► You're still using 1Password?

00:55:32 ◼   ► So,

00:55:32 ◼   ► that's...

00:55:33 ◼   ► And I started looking at like,

00:55:35 ◼   ► okay, what...

00:55:36 ◼   ► Should I just go all in

00:55:37 ◼   ► on 1Password

00:55:38 ◼   ► or go all in

00:55:40 ◼   ► on Apple Passwords

00:55:41 ◼   ► and, you know,

00:55:43 ◼   ► because they've been

00:55:43 ◼   ► kind of fighting each other

00:55:44 ◼   ► for years now.

00:55:45 ◼   ► You should do one

00:55:46 ◼   ► or the other for sure.

00:55:47 ◼   ► Now,

00:55:49 ◼   ► something else

00:55:49 ◼   ► has changed recently

00:55:51 ◼   ► is that I've started

00:55:52 ◼   ► using AI a lot.

00:55:53 ◼   ► I've started using

00:55:54 ◼   ► ChatGPT

00:55:55 ◼   ► many times a day

00:55:57 ◼   ► just asking

00:55:58 ◼   ► small questions.

00:55:59 ◼   ► Basically,

00:55:59 ◼   ► where I used to do

00:56:01 ◼   ► more web searches

00:56:02 ◼   ► or asking Siri

00:56:03 ◼   ► for things,

00:56:04 ◼   ► I've been doing a lot

00:56:05 ◼   ► more asking ChatGPT

00:56:06 ◼   ► and that's been

00:56:07 ◼   ► going very well.

00:56:08 ◼   ► Another thing

00:56:09 ◼   ► that happened recently

00:56:10 ◼   ► is Google Gemini

00:56:12 ◼   ► got better.

00:56:13 ◼   ► And when I actually

00:56:16 ◼   ► compare factual answers

00:56:17 ◼   ► where I know

00:56:18 ◼   ► the correct factual answer

00:56:19 ◼   ► between ChatGPT

00:56:21 ◼   ► and Google Gemini,

00:56:22 ◼   ► Gemini was getting it

00:56:24 ◼   ► right a little bit

00:56:24 ◼   ► more often.

00:56:25 ◼   ► And there are certain

00:56:27 ◼   ► things about Gemini

00:56:27 ◼   ► that I don't like

00:56:28 ◼   ► as much as ChatGPT

00:56:29 ◼   ► but the sophistication

00:56:31 ◼   ► of the model

00:56:31 ◼   ► is hard to ignore.

00:56:32 ◼   ► It is seemingly

00:56:34 ◼   ► a little bit ahead

00:56:35 ◼   ► of ChatGPT

00:56:36 ◼   ► in a lot of things.

00:56:36 ◼   ► Not in everything

00:56:37 ◼   ► and it has its own

00:56:38 ◼   ► quirks and annoyances

00:56:39 ◼   ► but Gemini

00:56:40 ◼   ► has been pretty good

00:56:41 ◼   ► recently.

00:56:42 ◼   ► And I also started

00:56:43 ◼   ► thinking about AI

00:56:44 ◼   ► and I'm like,

00:56:45 ◼   ► you know,

00:56:45 ◼   ► Google,

00:56:47 ◼   ► I think,

00:56:48 ◼   ► has a really bright

00:56:49 ◼   ► future here

00:56:50 ◼   ► because

00:56:51 ◼   ► when you look at

00:56:54 ◼   ► how these AI

00:56:56 ◼   ► things are advancing

00:56:57 ◼   ► and what's the next step?

00:56:58 ◼   ► Well,

00:56:58 ◼   ► the next step

00:56:59 ◼   ► for ChatGPT

00:57:00 ◼   ► is figuring out

00:57:00 ◼   ► their business model

00:57:02 ◼   ► and making

00:57:03 ◼   ► their ad system.

00:57:05 ◼   ► and as you

00:57:07 ◼   ► integrate more

00:57:07 ◼   ► into things,

00:57:09 ◼   ► you need data sources,

00:57:10 ◼   ► you need deals

00:57:11 ◼   ► with other vendors

00:57:13 ◼   ► or things like

00:57:14 ◼   ► business and directory

00:57:16 ◼   ► providers,

00:57:17 ◼   ► mapping providers,

00:57:18 ◼   ► different affiliate

00:57:19 ◼   ► deals with everybody

00:57:20 ◼   ► to try to monetize

00:57:21 ◼   ► through that.

00:57:22 ◼   ► If you want to be able

00:57:23 ◼   ► to book hotels

00:57:24 ◼   ► or whatever,

00:57:24 ◼   ► you need that.

00:57:25 ◼   ► And I started thinking,

00:57:26 ◼   ► you know,

00:57:26 ◼   ► Google

00:57:27 ◼   ► is in a really good

00:57:28 ◼   ► position for this world.

00:57:30 ◼   ► they had a bit

00:57:31 ◼   ► of a slow start,

00:57:31 ◼   ► but they

00:57:33 ◼   ► make the models.

00:57:34 ◼   ► They have their own

00:57:35 ◼   ► in-house models.

00:57:36 ◼   ► Okay,

00:57:37 ◼   ► OpenAI has that too.

00:57:37 ◼   ► That's great.

00:57:38 ◼   ► Google has their own

00:57:40 ◼   ► cloud infrastructure.

00:57:42 ◼   ► Okay,

00:57:43 ◼   ► well,

00:57:43 ◼   ► OpenAI doesn't really

00:57:44 ◼   ► have much of that.

00:57:44 ◼   ► Google makes

00:57:46 ◼   ► their own chips

00:57:46 ◼   ► to run it.

00:57:47 ◼   ► OpenAI doesn't have that.

00:57:49 ◼   ► And Google has

00:57:50 ◼   ► all these existing

00:57:52 ◼   ► properties.

00:57:52 ◼   ► They have data sources.

00:57:54 ◼   ► They have the entire

00:57:56 ◼   ► content of the web

00:57:57 ◼   ► that they already have

00:57:58 ◼   ► like in their possession

00:57:59 ◼   ► through means that most

00:58:01 ◼   ► people don't want to

00:58:02 ◼   ► turn off.

00:58:02 ◼   ► And I know they try

00:58:02 ◼   ► to separate it,

00:58:03 ◼   ► but it's not that

00:58:03 ◼   ► separate.

00:58:04 ◼   ► Okay,

00:58:04 ◼   ► they have Google Maps

00:58:06 ◼   ► and they recently

00:58:06 ◼   ► just integrated Google Maps

00:58:07 ◼   ► pretty well into Gemini.

00:58:09 ◼   ► And so I was able

00:58:10 ◼   ► to do something like,

00:58:11 ◼   ► like I was in the city

00:58:12 ◼   ► yesterday and I said,

00:58:13 ◼   ► make me a walk.

00:58:14 ◼   ► I want to walk

00:58:15 ◼   ► about four miles.

00:58:16 ◼   ► Get me a walk

00:58:18 ◼   ► through Central Park

00:58:19 ◼   ► and that's about

00:58:19 ◼   ► four miles somewhat scenic.

00:58:21 ◼   ► And it generated,

00:58:22 ◼   ► Gemini generated

00:58:24 ◼   ► this walk

00:58:24 ◼   ► and it was stupid.

00:58:25 ◼   ► It was,

00:58:25 ◼   ► you know,

00:58:26 ◼   ► I asked for a four mile walk

00:58:27 ◼   ► and it said,

00:58:28 ◼   ► here's a 3.1 mile walk

00:58:29 ◼   ► and I'm like,

00:58:30 ◼   ► hold on,

00:58:31 ◼   ► I asked for a four mile walk,

00:58:33 ◼   ► please make it four miles.

00:58:33 ◼   ► And it's like,

00:58:34 ◼   ► okay,

00:58:34 ◼   ► here's a 4.6 mile walk.

00:58:36 ◼   ► I'm like,

00:58:37 ◼   ► okay, well,

00:58:37 ◼   ► you know.

00:58:37 ◼   ► Numbers are hard for them.

00:58:39 ◼   ► Whatever.

00:58:39 ◼   ► But using Google Maps,

00:58:42 ◼   ► it showed me the route

00:58:43 ◼   ► and then it said,

00:58:45 ◼   ► you can send this

00:58:47 ◼   ► to your phone,

00:58:47 ◼   ► to Google Maps.

00:58:48 ◼   ► and it had a link

00:58:50 ◼   ► so I could send it

00:58:51 ◼   ► to someone else

00:58:51 ◼   ► walking with me

00:58:52 ◼   ► and I could send it to,

00:58:54 ◼   ► I could save it

00:58:54 ◼   ► if I wanted to.

00:58:55 ◼   ► And that showed me,

00:58:57 ◼   ► okay,

00:58:57 ◼   ► this kind of integration,

00:58:58 ◼   ► I think Google

00:59:00 ◼   ► has a really big edge here

00:59:02 ◼   ► over everyone else.

00:59:03 ◼   ► That they have,

00:59:04 ◼   ► like,

00:59:04 ◼   ► all the integrations

00:59:05 ◼   ► that they're going to have

00:59:06 ◼   ► with all the data,

00:59:06 ◼   ► I think they're going

00:59:08 ◼   ► to really build a big edge

00:59:11 ◼   ► in the near term

00:59:12 ◼   ► and, you know,

00:59:13 ◼   ► long term probably as well.

00:59:14 ◼   ► One of the reasons

00:59:15 ◼   ► why I was interested

00:59:15 ◼   ► in sending the link

00:59:17 ◼   ► to my phone

00:59:18 ◼   ► from Google Maps

00:59:19 ◼   ► through Gemini

00:59:20 ◼   ► is for all these years,

00:59:22 ◼   ► I have been bouncing

00:59:24 ◼   ► between three different

00:59:25 ◼   ► Maps apps on my phone.

00:59:26 ◼   ► Google Maps,

00:59:27 ◼   ► Apple Maps,

00:59:28 ◼   ► and Waze

00:59:29 ◼   ► for different purposes.

00:59:30 ◼   ► Waze was my

00:59:31 ◼   ► driving directions app

00:59:32 ◼   ► because it's good

00:59:32 ◼   ► with navigating traffic

00:59:33 ◼   ► on Long Island.

00:59:34 ◼   ► Google Maps,

00:59:35 ◼   ► I would look up business

00:59:36 ◼   ► info and stuff like that.

00:59:38 ◼   ► And Apple Maps,

00:59:39 ◼   ► I would occasionally use

00:59:41 ◼   ► for something else,

00:59:42 ◼   ► you know,

00:59:42 ◼   ► maybe like walking directions.

00:59:44 ◼   ► But Apple Maps

00:59:45 ◼   ► drives me nuts

00:59:47 ◼   ► on the phone

00:59:47 ◼   ► in one particular way

00:59:49 ◼   ► that when you have

00:59:50 ◼   ► active direction following

00:59:51 ◼   ► going on in Apple Maps,

00:59:53 ◼   ► it takes over

00:59:54 ◼   ► the lock screen

00:59:55 ◼   ► of the phone

00:59:55 ◼   ► in a way

00:59:56 ◼   ► that seems to

00:59:57 ◼   ► significantly

00:59:59 ◼   ► and reliably

00:59:59 ◼   ► slow down

01:00:00 ◼   ► unlocking the phone

01:00:01 ◼   ► for me.

01:00:01 ◼   ► Because it's like

01:00:02 ◼   ► you unlock the phone

01:00:03 ◼   ► so you can see,

01:00:04 ◼   ► like,

01:00:04 ◼   ► so you can navigate

01:00:04 ◼   ► the map,

01:00:05 ◼   ► really,

01:00:05 ◼   ► and then you can

01:00:06 ◼   ► extra swipe

01:00:07 ◼   ► to go to the home screen.

01:00:08 ◼   ► I can't find a way

01:00:09 ◼   ► to turn that off,

01:00:10 ◼   ► like the way Apple Maps

01:00:11 ◼   ► takes over the home screen,

01:00:12 ◼   ► the lock screen,

01:00:13 ◼   ► rather.

01:00:13 ◼   ► And so that actually

01:00:14 ◼   ► drives me crazy

01:00:15 ◼   ► when I'm trying

01:00:16 ◼   ► to use Apple Maps

01:00:16 ◼   ► for navigation.

01:00:17 ◼   ► So that alone

01:00:19 ◼   ► is a reason

01:00:20 ◼   ► why I mostly

01:00:20 ◼   ► didn't use it for that.

01:00:21 ◼   ► And then Google Maps,

01:00:23 ◼   ► I would look up businesses

01:00:23 ◼   ► and it has by far

01:00:25 ◼   ► the best business data

01:00:26 ◼   ► with like,

01:00:27 ◼   ► you know,

01:00:27 ◼   ► find me coffee shops

01:00:28 ◼   ► and you're here.

01:00:29 ◼   ► And then are they open

01:00:30 ◼   ► right now?

01:00:30 ◼   ► What are their hours?

01:00:31 ◼   ► Are they good?

01:00:33 ◼   ► Give me ratings.

01:00:33 ◼   ► Like,

01:00:34 ◼   ► Google Maps

01:00:35 ◼   ► destroys Apple Maps

01:00:36 ◼   ► in that.

01:00:36 ◼   ► And Google also owns

01:00:38 ◼   ► Waze and so

01:00:39 ◼   ► they have access

01:00:39 ◼   ► to all the same

01:00:39 ◼   ► traffic data.

01:00:40 ◼   ► And so I decided

01:00:41 ◼   ► this is ridiculous

01:00:42 ◼   ► to have three

01:00:43 ◼   ► different Maps apps

01:00:44 ◼   ► the year of efficiency.

01:00:45 ◼   ► I'm going to try

01:00:47 ◼   ► to use just one

01:00:48 ◼   ► Maps app for everything.

01:00:49 ◼   ► And the only one

01:00:51 ◼   ► that made sense

01:00:51 ◼   ► to do that with

01:00:52 ◼   ► is Google Maps.

01:00:52 ◼   ► So for the last

01:00:54 ◼   ► month or so,

01:00:55 ◼   ► I've been using

01:00:56 ◼   ► exclusively Google Maps.

01:00:58 ◼   ► Okay,

01:00:59 ◼   ► so when I had

01:01:00 ◼   ► Gemini generate me

01:01:01 ◼   ► my Google

01:01:02 ◼   ► walking directions,

01:01:02 ◼   ► it was great.

01:01:03 ◼   ► Send it to my phone.

01:01:04 ◼   ► Okay,

01:01:04 ◼   ► done.

01:01:04 ◼   ► And it was,

01:01:06 ◼   ► you know,

01:01:06 ◼   ► perfect.

01:01:07 ◼   ► It was there.

01:01:08 ◼   ► You know,

01:01:08 ◼   ► I could pull it up

01:01:09 ◼   ► instantly.

01:01:10 ◼   ► And it's a walking

01:01:11 ◼   ► route through Central

01:01:12 ◼   ► Park that had like

01:01:13 ◼   ► six different stops

01:01:14 ◼   ► and they all

01:01:14 ◼   ► transferred perfectly.

01:01:15 ◼   ► And I could view it

01:01:17 ◼   ► again.

01:01:18 ◼   ► Like when I actually

01:01:18 ◼   ► went on the walk,

01:01:19 ◼   ► like the next day

01:01:20 ◼   ► I viewed it,

01:01:21 ◼   ► it was still there.

01:01:22 ◼   ► It hadn't like

01:01:22 ◼   ► fallen out of memory

01:01:23 ◼   ► or whatever.

01:01:24 ◼   ► Like the link

01:01:25 ◼   ► still worked.

01:01:26 ◼   ► It was still sent

01:01:26 ◼   ► to my phone.

01:01:28 ◼   ► It worked really

01:01:29 ◼   ► well,

01:01:29 ◼   ► honestly.

01:01:30 ◼   ► And Google Maps

01:01:31 ◼   ► for driving directions,

01:01:32 ◼   ► there's a lot of

01:01:33 ◼   ► small ways in which

01:01:35 ◼   ► it works better

01:01:36 ◼   ► than Waze.

01:01:38 ◼   ► I know this is a

01:01:39 ◼   ► confusing thing to

01:01:39 ◼   ► hear,

01:01:39 ◼   ► like the M5

01:01:41 ◼   ► Max Max,

01:01:41 ◼   ► you know.

01:01:42 ◼   ► There's a lot of

01:01:44 ◼   ► ways that Google Maps

01:01:45 ◼   ► is a little bit

01:01:45 ◼   ► better than Waze.

01:01:46 ◼   ► Not in every

01:01:47 ◼   ► possible way,

01:01:47 ◼   ► but in most ways.

01:01:48 ◼   ► It's like a little

01:01:50 ◼   ► bit nicer,

01:01:50 ◼   ► a little bit more

01:01:51 ◼   ► advanced.

01:01:51 ◼   ► It's also a lot

01:01:53 ◼   ► faster at

01:01:54 ◼   ► everything.

01:01:55 ◼   ► Any kind of like

01:01:57 ◼   ► with one of the

01:01:58 ◼   ► one of the

01:01:58 ◼   ► downsides of Waze

01:01:59 ◼   ► is if you ask for

01:01:59 ◼   ► directions somewhere,

01:02:00 ◼   ► it kind of spins

01:02:01 ◼   ► for a while before

01:02:02 ◼   ► it generates them.

01:02:02 ◼   ► I don't know why

01:02:04 ◼   ► this is different

01:02:05 ◼   ► because Google Maps

01:02:05 ◼   ► and Waze are both

01:02:07 ◼   ► owned by Google

01:02:07 ◼   ► and both seem to

01:02:08 ◼   ► operate in most of

01:02:08 ◼   ► the same data.

01:02:09 ◼   ► But getting

01:02:10 ◼   ► directions to Google

01:02:11 ◼   ► Maps is almost

01:02:11 ◼   ► instantaneous every

01:02:12 ◼   ► time.

01:02:13 ◼   ► That is not the

01:02:14 ◼   ► case with Waze.

01:02:15 ◼   ► I've used Waze

01:02:15 ◼   ► for years.

01:02:16 ◼   ► It isn't my

01:02:16 ◼   ► connection like I

01:02:17 ◼   ► know Waze is slow

01:02:19 ◼   ► to generate directions

01:02:19 ◼   ► and Google Maps is

01:02:20 ◼   ► instant.

01:02:21 ◼   ► Google Maps also

01:02:22 ◼   ► had better voice

01:02:24 ◼   ► search.

01:02:24 ◼   ► It's better for

01:02:25 ◼   ► like, oh,

01:02:25 ◼   ► find me,

01:02:26 ◼   ► you know,

01:02:26 ◼   ► find me a

01:02:26 ◼   ► charging station

01:02:27 ◼   ► along this

01:02:27 ◼   ► route.

01:02:27 ◼   ► It's better for

01:02:29 ◼   ► all of those

01:02:30 ◼   ► things.

01:02:30 ◼   ► So, so far,

01:02:31 ◼   ► I'm very happy

01:02:32 ◼   ► with Google Maps

01:02:32 ◼   ► as my only

01:02:33 ◼   ► mapping app.

01:02:34 ◼   ► Again, it's not

01:02:35 ◼   ► perfect, but I

01:02:36 ◼   ► think it's way

01:02:37 ◼   ► better than using

01:02:37 ◼   ► three different

01:02:38 ◼   ► apps for the

01:02:38 ◼   ► same thing.

01:02:39 ◼   ► That was not the

01:02:40 ◼   ► efficiency I expected

01:02:41 ◼   ► you to say.

01:02:41 ◼   ► That's a minor

01:02:41 ◼   ► efficiency, but I'm

01:02:42 ◼   ► glad to see you

01:02:43 ◼   ► drop down from

01:02:43 ◼   ► three to one.

01:02:45 ◼   ► Yeah.

01:02:45 ◼   ► I mean, I

01:02:46 ◼   ► occasionally will

01:02:47 ◼   ► use Google Maps,

01:02:48 ◼   ► although very

01:02:49 ◼   ► rarely, and

01:02:49 ◼   ► typically, if

01:02:50 ◼   ► anything, it's

01:02:50 ◼   ► for business

01:02:51 ◼   ► information, like

01:02:51 ◼   ► you had said.

01:02:52 ◼   ► I almost never

01:02:53 ◼   ► use Waze, but I'm

01:02:54 ◼   ► almost never in

01:02:55 ◼   ► places that have

01:02:56 ◼   ► traffic.

01:02:56 ◼   ► And I actually

01:02:58 ◼   ► find that Apple

01:02:58 ◼   ► Maps is good for

01:03:00 ◼   ► me for 98% of

01:03:02 ◼   ► the things that I

01:03:03 ◼   ► use it for.

01:03:04 ◼   ► it was not

01:03:05 ◼   ► good at first

01:03:05 ◼   ► for sure, but

01:03:06 ◼   ► the last few

01:03:07 ◼   ► years, it's been

01:03:08 ◼   ► quite good.

01:03:09 ◼   ► The issue with

01:03:10 ◼   ► Apple Maps, again,

01:03:10 ◼   ► besides my irritation

01:03:12 ◼   ► with the way it

01:03:12 ◼   ► takes over the

01:03:13 ◼   ► lock screen and

01:03:13 ◼   ► slows down

01:03:14 ◼   ► unlocking my

01:03:14 ◼   ► phone a lot for

01:03:15 ◼   ► some reason, my

01:03:16 ◼   ► issue with Apple

01:03:17 ◼   ► Maps is the same

01:03:18 ◼   ► issue I have with

01:03:18 ◼   ► Waze that if I'm

01:03:20 ◼   ► going to only have

01:03:21 ◼   ► one mapping app,

01:03:22 ◼   ► neither of those is

01:03:23 ◼   ► good enough to be

01:03:23 ◼   ► the one.

01:03:23 ◼   ► I get it.

01:03:25 ◼   ► You know, because

01:03:25 ◼   ► Apple Maps really

01:03:27 ◼   ► falls down with

01:03:28 ◼   ► business information.

01:03:29 ◼   ► I didn't even

01:03:30 ◼   ► know it had

01:03:30 ◼   ► business information.

01:03:31 ◼   ► I always use

01:03:32 ◼   ► Google Maps for

01:03:32 ◼   ► that.

01:03:33 ◼   ► It's not even

01:03:33 ◼   ► like, I know

01:03:35 ◼   ► that's part of

01:03:36 ◼   ► Maps, but

01:03:36 ◼   ► Google has

01:03:37 ◼   ► reviews and

01:03:38 ◼   ► pictures of

01:03:39 ◼   ► all the food

01:03:40 ◼   ► and the menus

01:03:40 ◼   ► and that's a

01:03:41 ◼   ► whole separate

01:03:42 ◼   ► product.

01:03:42 ◼   ► And it's like,

01:03:43 ◼   ► oh, and by

01:03:43 ◼   ► the way, this

01:03:44 ◼   ► point on the

01:03:45 ◼   ► map brings up

01:03:46 ◼   ► that info, but

01:03:46 ◼   ► Apple, I mean,

01:03:47 ◼   ► I guess Apple has

01:03:48 ◼   ► some business

01:03:48 ◼   ► of it, but it

01:03:49 ◼   ► doesn't compare.

01:03:49 ◼   ► But I use

01:03:50 ◼   ► Google Maps and

01:03:50 ◼   ► Apple Maps and

01:03:51 ◼   ► Google for all

01:03:52 ◼   ► the reasons that

01:03:53 ◼   ► you said, but

01:03:54 ◼   ► I use Apple for

01:03:56 ◼   ► driving because

01:03:57 ◼   ► they're much more

01:03:58 ◼   ► attractive and

01:03:59 ◼   ► larger for my

01:04:00 ◼   ► old eyes.

01:04:00 ◼   ► Viewing of the

01:04:02 ◼   ► road and the

01:04:02 ◼   ► lanes.

01:04:03 ◼   ► I find really

01:04:04 ◼   ► helps, although

01:04:04 ◼   ► I will say that

01:04:05 ◼   ► sometimes it

01:04:06 ◼   ► still makes me do

01:04:07 ◼   ► very stupid

01:04:07 ◼   ► things and I

01:04:08 ◼   ► get angry at it

01:04:08 ◼   ► and switch back

01:04:09 ◼   ► to Google Maps.

01:04:09 ◼   ► So I'm down to

01:04:10 ◼   ► two, but I'm

01:04:12 ◼   ► glad to hear that

01:04:12 ◼   ► you're down to

01:04:12 ◼   ► one.

01:04:13 ◼   ► All right, so

01:04:14 ◼   ► also in the

01:04:16 ◼   ► same vein,

01:04:17 ◼   ► again, thinking

01:04:18 ◼   ► about the whole

01:04:19 ◼   ► picture here,

01:04:20 ◼   ► AI is a big

01:04:21 ◼   ► deal and it

01:04:23 ◼   ► keeps getting

01:04:23 ◼   ► better and it

01:04:24 ◼   ► keeps getting

01:04:25 ◼   ► bigger and it's

01:04:26 ◼   ► taking over what

01:04:27 ◼   ► used to be web

01:04:28 ◼   ► search for me.

01:04:28 ◼   ► I realized that,

01:04:30 ◼   ► so for my

01:04:31 ◼   ► web search

01:04:32 ◼   ► engines, I

01:04:33 ◼   ► for years used

01:04:35 ◼   ► DuckDuckGo.

01:04:35 ◼   ► Same.

01:04:36 ◼   ► And one of the

01:04:38 ◼   ► things I got

01:04:38 ◼   ► hooked on with

01:04:39 ◼   ► DuckDuckGo is

01:04:40 ◼   ► the bang shortcut

01:04:42 ◼   ► syntax, especially

01:04:44 ◼   ► for searching

01:04:44 ◼   ► Amazon.

01:04:45 ◼   ► So when you have

01:04:46 ◼   ► DuckDuckGo, you

01:04:47 ◼   ► can type in

01:04:48 ◼   ► exclamation point

01:04:48 ◼   ► A space and

01:04:50 ◼   ► then whatever you

01:04:50 ◼   ► want and that's a

01:04:51 ◼   ► shortcut to Amazon.

01:04:52 ◼   ► You can customize

01:04:52 ◼   ► those.

01:04:53 ◼   ► There's a bunch

01:04:53 ◼   ► built in.

01:04:54 ◼   ► There's G for

01:04:55 ◼   ► Google if you want

01:04:56 ◼   ► to quickly jump

01:04:57 ◼   ► over to Google

01:04:57 ◼   ► search.

01:04:58 ◼   ► There's bang

01:04:58 ◼   ► eBay for an

01:04:59 ◼   ► eBay search.

01:05:00 ◼   ► There's a bunch

01:05:01 ◼   ► built in.

01:05:02 ◼   ► I mostly use the

01:05:03 ◼   ► Amazon one a lot

01:05:04 ◼   ► and occasionally

01:05:04 ◼   ► the eBay one.

01:05:05 ◼   ► And by the way,

01:05:06 ◼   ► if you use Safari

01:05:06 ◼   ► like I do, you

01:05:07 ◼   ► can do that with

01:05:08 ◼   ► a Safari extension

01:05:10 ◼   ► where I just type

01:05:10 ◼   ► an az space and

01:05:11 ◼   ► then a search in

01:05:12 ◼   ► my address bar and

01:05:13 ◼   ► does the same

01:05:13 ◼   ► thing.

01:05:13 ◼   ► Yeah, there's a

01:05:14 ◼   ► few different

01:05:14 ◼   ► extensions, some of

01:05:15 ◼   ► which I found

01:05:16 ◼   ► via chat.

01:05:16 ◼   ► But yeah, there's

01:05:17 ◼   ► a few different

01:05:18 ◼   ► extensions that do

01:05:18 ◼   ► this.

01:05:19 ◼   ► But Safari also

01:05:20 ◼   ► supports DuckDuckGo

01:05:21 ◼   ► as a built-in

01:05:22 ◼   ► search engine.

01:05:22 ◼   ► So it's very,

01:05:24 ◼   ► very easy to

01:05:24 ◼   ► switch to it.

01:05:25 ◼   ► In the last, I

01:05:27 ◼   ► think, two years

01:05:28 ◼   ► or so, I've been

01:05:30 ◼   ► using Kagi.

01:05:31 ◼   ► Same.

01:05:32 ◼   ► I heard it on the

01:05:33 ◼   ► talk show because

01:05:34 ◼   ► the CEO has actually

01:05:35 ◼   ► been on the talk

01:05:35 ◼   ► show I think twice

01:05:36 ◼   ► with John Gruber.

01:05:38 ◼   ► And it sounded

01:05:39 ◼   ► interesting to me and

01:05:41 ◼   ► I've been using

01:05:41 ◼   ► Kagi for the last

01:05:42 ◼   ► couple of years.

01:05:43 ◼   ► And it's been

01:05:44 ◼   ► pretty good.

01:05:45 ◼   ► Like as a web

01:05:47 ◼   ► search, if you

01:05:47 ◼   ► actually want web

01:05:49 ◼   ► search, you want

01:05:50 ◼   ► to like find a

01:05:51 ◼   ► review of a new

01:05:51 ◼   ► fridge, Google is

01:05:53 ◼   ► garbage for that.

01:05:55 ◼   ► It's just, it's

01:05:55 ◼   ► been gamed like

01:05:56 ◼   ► crazy and it's

01:05:58 ◼   ► really hard to find

01:05:59 ◼   ► good info on Google.

01:06:00 ◼   ► And part of that is

01:06:01 ◼   ► because everything's

01:06:02 ◼   ► been gamed.

01:06:02 ◼   ► Part of that's also

01:06:03 ◼   ► because there's

01:06:04 ◼   ► increasingly less and

01:06:05 ◼   ► less good content to

01:06:06 ◼   ► find because the web

01:06:08 ◼   ► is dying in large

01:06:09 ◼   ► part due to AI, but

01:06:10 ◼   ► also it was dead

01:06:11 ◼   ► before that.

01:06:11 ◼   ► It was dead because

01:06:12 ◼   ► social networks

01:06:13 ◼   ► killed it.

01:06:13 ◼   ► So the web is

01:06:14 ◼   ► really not in a

01:06:15 ◼   ► great place right

01:06:16 ◼   ► now content-wise,

01:06:17 ◼   ► hasn't been for

01:06:18 ◼   ► years.

01:06:18 ◼   ► And Google hasn't

01:06:19 ◼   ► really seemingly

01:06:21 ◼   ► worked very hard on

01:06:21 ◼   ► their web search in

01:06:22 ◼   ► that time either.

01:06:23 ◼   ► So it's not like

01:06:24 ◼   ► they're without

01:06:25 ◼   ► fault here, but the

01:06:27 ◼   ► web's in a tough

01:06:28 ◼   ► spot and web search

01:06:29 ◼   ► has therefore been

01:06:30 ◼   ► really bad.

01:06:30 ◼   ► And that's part of

01:06:31 ◼   ► why I have so much

01:06:32 ◼   ► value these days in

01:06:33 ◼   ► AI, because it's

01:06:35 ◼   ► just, it's better at

01:06:37 ◼   ► giving me information

01:06:37 ◼   ► than web search has

01:06:39 ◼   ► been for many years.

01:06:40 ◼   ► So I've been using

01:06:41 ◼   ► Kaki and I've been,

01:06:43 ◼   ► you know, but I

01:06:43 ◼   ► realized I've been

01:06:44 ◼   ► less and less actually

01:06:45 ◼   ► going to the search

01:06:46 ◼   ► results page.

01:06:46 ◼   ► Usually I'm using

01:06:47 ◼   ► Kaki to just search

01:06:48 ◼   ► Amazon.

01:06:49 ◼   ► on so what, you

01:06:52 ◼   ► know, maybe in

01:06:54 ◼   ► the era of all of

01:06:56 ◼   ► this AI stuff, I'm

01:06:57 ◼   ► like, I'm trying

01:06:58 ◼   ► Google Maps.

01:06:59 ◼   ► I'm trying Gemini.

01:07:01 ◼   ► Why don't I just

01:07:02 ◼   ► try using Google as

01:07:03 ◼   ► my search engine

01:07:03 ◼   ► again?

01:07:04 ◼   ► What am I doing

01:07:05 ◼   ► fighting all this?

01:07:06 ◼   ► Like I fought, I

01:07:07 ◼   ► fought against Google.

01:07:08 ◼   ► I've raged against

01:07:09 ◼   ► the Google machine for

01:07:10 ◼   ► years, for decades

01:07:11 ◼   ► actually.

01:07:12 ◼   ► And why?

01:07:14 ◼   ► like, let's give

01:07:15 ◼   ► it a shot.

01:07:16 ◼   ► So I have switched

01:07:18 ◼   ► back to Google as

01:07:20 ◼   ► my search engine.

01:07:21 ◼   ► Oh, I don't like that

01:07:23 ◼   ► at all.

01:07:23 ◼   ► I never left.

01:07:24 ◼   ► Although the AI

01:07:25 ◼   ► search results at the

01:07:26 ◼   ► top really annoy me.

01:07:27 ◼   ► Yes, I know.

01:07:28 ◼   ► I know how to get

01:07:28 ◼   ► rid of them with the

01:07:29 ◼   ► little.

01:07:29 ◼   ► Yeah, to be clear,

01:07:30 ◼   ► like the AI summary

01:07:31 ◼   ► on top of Google search

01:07:32 ◼   ► results is horrendously

01:07:33 ◼   ► bad.

01:07:34 ◼   ► It's very bad.

01:07:34 ◼   ► It's sometimes it's

01:07:35 ◼   ► funny.

01:07:35 ◼   ► So it's so often

01:07:37 ◼   ► comically wrong.

01:07:38 ◼   ► And when I say

01:07:40 ◼   ► Gemini is good, that's

01:07:41 ◼   ► not what I'm talking

01:07:41 ◼   ► about.

01:07:42 ◼   ► The worst part about

01:07:43 ◼   ► them, though, is

01:07:43 ◼   ► because they are

01:07:44 ◼   ► at the top of the

01:07:45 ◼   ► Google search results.

01:07:45 ◼   ► Everyone in my life,

01:07:47 ◼   ► anytime they quote

01:07:48 ◼   ► unquote look up

01:07:48 ◼   ► something on their

01:07:49 ◼   ► phone, I have to ask

01:07:50 ◼   ► them to just scroll

01:07:51 ◼   ► past the AI search

01:07:52 ◼   ► result.

01:07:53 ◼   ► I'm not like just I

01:07:54 ◼   ► want to know the

01:07:55 ◼   ► actual answer.

01:07:55 ◼   ► The AI search results

01:07:56 ◼   ► at the top of Google

01:07:57 ◼   ► are hilariously bad.

01:07:59 ◼   ► They're like, I think

01:08:00 ◼   ► Google is giving AI a

01:08:01 ◼   ► bad name with those.

01:08:02 ◼   ► I honestly think

01:08:03 ◼   ► Google should they

01:08:04 ◼   ► should either make

01:08:05 ◼   ► them use a better

01:08:05 ◼   ► model, which I know I

01:08:06 ◼   ► kind of understand why

01:08:07 ◼   ► they're so bad.

01:08:08 ◼   ► Yeah, because like the

01:08:09 ◼   ► scaling of that would

01:08:10 ◼   ► be incredible, right?

01:08:11 ◼   ► Like they don't want

01:08:12 ◼   ► to get like it's too

01:08:13 ◼   ► expensive to give

01:08:13 ◼   ► everyone a good

01:08:14 ◼   ► AI search result, but

01:08:15 ◼   ► like I feel like almost

01:08:15 ◼   ► like they should go back

01:08:16 ◼   ► to the old days where

01:08:17 ◼   ► they just had like can

01:08:17 ◼   ► responses to common

01:08:18 ◼   ► queries that they would

01:08:19 ◼   ► actually like look up

01:08:20 ◼   ► and have like, you know,

01:08:21 ◼   ► just the dumb old sort

01:08:22 ◼   ► of like hard coded.

01:08:23 ◼   ► If someone asked for

01:08:24 ◼   ► this thing, run this

01:08:26 ◼   ► thing instead of just

01:08:27 ◼   ► like, oh, check it to

01:08:27 ◼   ► Gemini, but one of our

01:08:28 ◼   ► tiny little models and

01:08:29 ◼   ► it will give total BS.

01:08:30 ◼   ► So it just annoys me to

01:08:32 ◼   ► the top at the top.

01:08:33 ◼   ► You have to scroll past

01:08:33 ◼   ► and I forget what the

01:08:34 ◼   ► query parameter is that

01:08:35 ◼   ► you can put into your

01:08:36 ◼   ► Google search query.

01:08:36 ◼   ► So it doesn't show

01:08:37 ◼   ► that, but it's just

01:08:38 ◼   ► such a hassle because

01:08:39 ◼   ► it's not so much me.

01:08:40 ◼   ► I can scroll past

01:08:41 ◼   ► them.

01:08:41 ◼   ► It's everyone else in

01:08:42 ◼   ► the world who now

01:08:44 ◼   ► quote unquote look

01:08:44 ◼   ► something up in their

01:08:45 ◼   ► phone and they read the

01:08:46 ◼   ► total BS.

01:08:47 ◼   ► It's the top of the

01:08:47 ◼   ► Google search results.

01:08:48 ◼   ► And I say, no, keep

01:08:49 ◼   ► scrolling, keep

01:08:50 ◼   ► scrolling.

01:08:51 ◼   ► I really think Google's

01:08:52 ◼   ► doing way more harm than

01:08:53 ◼   ► good for both themselves

01:08:55 ◼   ► and for the for the

01:08:56 ◼   ► perception of AI with

01:08:57 ◼   ► those.

01:08:57 ◼   ► I mean, well, I was

01:08:59 ◼   ► going to say the good

01:09:00 ◼   ► news was maybe not the

01:09:01 ◼   ► good news, but like as

01:09:02 ◼   ► the cost of inference goes

01:09:03 ◼   ► down, presumably those

01:09:04 ◼   ► answers will get better

01:09:06 ◼   ► ish, but I will never

01:09:07 ◼   ► accept them as the

01:09:08 ◼   ► result of quote unquote

01:09:09 ◼   ► looking something up.

01:09:10 ◼   ► You didn't look something

01:09:11 ◼   ► up.

01:09:11 ◼   ► You just took a stew of

01:09:12 ◼   ► words that came out of a

01:09:14 ◼   ► probability machine and

01:09:15 ◼   ► read it back.

01:09:15 ◼   ► If you're going to take

01:09:16 ◼   ► the time to type

01:09:18 ◼   ► something into Google,

01:09:19 ◼   ► look it up at a source.

01:09:20 ◼   ► So get some kind of

01:09:21 ◼   ► source, just source it

01:09:22 ◼   ► from somewhere, not the

01:09:24 ◼   ► amalgam of all the words

01:09:25 ◼   ► information run through a

01:09:26 ◼   ► blender.

01:09:26 ◼   ► Right.

01:09:29 ◼   ► So anyway, tell us how

01:09:31 ◼   ► you really feel, John.

01:09:32 ◼   ► So, all right, I'm trying

01:09:34 ◼   ► out Google with my search

01:09:35 ◼   ► engine.

01:09:35 ◼   ► And so far I've I've I

01:09:38 ◼   ► said it that way a couple

01:09:39 ◼   ► days ago.

01:09:39 ◼   ► I've barely noticed any

01:09:41 ◼   ► difference because I the

01:09:43 ◼   ► first thing I did was, oh,

01:09:45 ◼   ► let me figure out a way to

01:09:46 ◼   ► get my Amazon shortcuts to

01:09:47 ◼   ► work again.

01:09:49 ◼   ► And so, you know, there's

01:09:50 ◼   ► these extensions.

01:09:51 ◼   ► And then something else

01:09:55 ◼   ► happened a few days ago.

01:09:56 ◼   ► I saw somebody filling out

01:10:00 ◼   ► a form and I noticed

01:10:03 ◼   ► their autofill worked a

01:10:05 ◼   ► hell of a lot better than

01:10:06 ◼   ► mine.

01:10:06 ◼   ► Okay.

01:10:08 ◼   ► Every time I place an

01:10:10 ◼   ► order for something, you

01:10:11 ◼   ► know, Safari will offer me

01:10:13 ◼   ► like, you know, the fill the

01:10:14 ◼   ► information and it's it's

01:10:16 ◼   ► not good.

01:10:17 ◼   ► Oh, you switched this

01:10:17 ◼   ► Chrome, didn't you?

01:10:18 ◼   ► Yeah, that's what I was

01:10:19 ◼   ► thinking.

01:10:20 ◼   ► The autofill is a little bit

01:10:22 ◼   ► better sometimes.

01:10:22 ◼   ► I am trying Chrome.

01:10:24 ◼   ► Oh, my God.

01:10:26 ◼   ► You're going to have an

01:10:26 ◼   ► Android phone before the end

01:10:27 ◼   ► of the year.

01:10:27 ◼   ► No, that's definitely not

01:10:28 ◼   ► going to happen.

01:10:29 ◼   ► But I'm not so sure.

01:10:30 ◼   ► I am.

01:10:30 ◼   ► So that's that's the the

01:10:33 ◼   ► final shoe here is that I

01:10:34 ◼   ► have tried switching to

01:10:35 ◼   ► Chrome.

01:10:35 ◼   ► I'm only like a day in.

01:10:37 ◼   ► You're becoming like you're

01:10:38 ◼   ► becoming more like me.

01:10:39 ◼   ► You're using Google Maps,

01:10:40 ◼   ► using Chrome, Google

01:10:41 ◼   ► Search.

01:10:42 ◼   ► I've been using those things

01:10:43 ◼   ► all along.

01:10:44 ◼   ► So here's here's the thing

01:10:45 ◼   ► about Chrome.

01:10:45 ◼   ► Chrome is as as annoying as

01:10:49 ◼   ► Google has always been with

01:10:51 ◼   ► Chrome, with, you know, the

01:10:53 ◼   ► very heavy handing pushing the

01:10:54 ◼   ► logins for everything, you

01:10:56 ◼   ► know.

01:10:56 ◼   ► And so, yeah, you know what?

01:10:57 ◼   ► Fine.

01:10:57 ◼   ► I logged in.

01:10:58 ◼   ► I'm doing it the way they want

01:11:00 ◼   ► me to do it the same way.

01:11:01 ◼   ► Like if you want to use Apple

01:11:03 ◼   ► products, you can like rage

01:11:04 ◼   ► against the machine and like,

01:11:05 ◼   ► you know, not sign into an

01:11:06 ◼   ► Apple ID and like not use the

01:11:07 ◼   ► app store.

01:11:08 ◼   ► You can do it.

01:11:09 ◼   ► It's just harder.

01:11:10 ◼   ► And again, my thing here is

01:11:12 ◼   ► like I have been fighting this

01:11:14 ◼   ► fight for so long.

01:11:15 ◼   ► No one cares.

01:11:17 ◼   ► It's not affecting anyone but

01:11:19 ◼   ► me.

01:11:19 ◼   ► Meanwhile, when I see certain

01:11:22 ◼   ► things, the way they work in

01:11:24 ◼   ► Chrome.

01:11:24 ◼   ► Look, I've been using Safari

01:11:26 ◼   ► full time on all my devices for

01:11:28 ◼   ► well over 10 years.

01:11:30 ◼   ► And I have to bounce over to

01:11:33 ◼   ► Chrome pretty often because

01:11:34 ◼   ► whatever I'm using doesn't work

01:11:37 ◼   ► in like some like, you know,

01:11:38 ◼   ► oh, I have to fill out like

01:11:39 ◼   ► some state tax website thing.

01:11:41 ◼   ► Oh, it doesn't work right in

01:11:42 ◼   ► Safari.

01:11:43 ◼   ► First, I try.

01:11:45 ◼   ► OK, well, what if I disable all

01:11:46 ◼   ► my content blocker?

01:11:47 ◼   ► Maybe it's my fault.

01:11:48 ◼   ► Nope.

01:11:48 ◼   ► Try again.

01:11:49 ◼   ► And it still doesn't work

01:11:50 ◼   ► because it just doesn't work

01:11:51 ◼   ► in Safari.

01:11:51 ◼   ► And you can make an argument

01:11:53 ◼   ► for like, is this, you know,

01:11:54 ◼   ► is this people not following

01:11:56 ◼   ► the standards?

01:11:56 ◼   ► Is it Safari not following the

01:11:58 ◼   ► standards?

01:11:58 ◼   ► Is it web developers not

01:11:59 ◼   ► testing things right?

01:12:00 ◼   ► And the answer is yes, it's

01:12:01 ◼   ► all of those things.

01:12:02 ◼   ► But my problem is that sites

01:12:05 ◼   ► don't work in Safari sometimes

01:12:06 ◼   ► and I have to go redo the

01:12:07 ◼   ► same action in Chrome.

01:12:08 ◼   ► that's Apple's problem to

01:12:10 ◼   ► fix.

01:12:10 ◼   ► I don't want to make it my

01:12:11 ◼   ► problem.

01:12:11 ◼   ► And whatever the reason, like

01:12:13 ◼   ► you could whatever, whoever's

01:12:15 ◼   ► at fault, it's Apple's

01:12:16 ◼   ► problem.

01:12:16 ◼   ► Why am I continuing to battle

01:12:19 ◼   ► this unless there's really,

01:12:21 ◼   ► really good value there?

01:12:22 ◼   ► OK, so if Safari is way

01:12:24 ◼   ► better than Chrome in a bunch

01:12:25 ◼   ► of other ways, then I'll take

01:12:27 ◼   ► that.

01:12:27 ◼   ► I will I will fight.

01:12:28 ◼   ► I'll keep fighting that fight.

01:12:29 ◼   ► But whenever I pop over to

01:12:32 ◼   ► Chrome, I mean, I notice a

01:12:33 ◼   ► couple of things.

01:12:33 ◼   ► number one, everything works.

01:12:35 ◼   ► Number two, it's so fast at

01:12:39 ◼   ► everything.

01:12:40 ◼   ► Now, part of that is, you

01:12:43 ◼   ► know, I think there's a few

01:12:44 ◼   ► animations and stuff.

01:12:44 ◼   ► It also still looks the way web