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Speaker 1: Get in touch with technology with text Stuff from how

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Speaker 1: stuff dot com either and welcome to text Stuff. I'm

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Speaker 1: johns in Strickland and I'm Lauren Voca. Whoa, whoa, whoa, whoa.

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Speaker 1: What happened? Uh? You asked me to come onto the

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Speaker 1: podcast in order to do a follow up to our

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Speaker 1: predictions episode and I said yes, And we've been sitting

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Speaker 1: across from each other for actually several minutes, so I'm

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Speaker 1: not sure why you're so surprised. Yes, I don't. I

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Speaker 1: don't even know what my own name is anymore. I

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Speaker 1: just say I'm John in Strickland because that's literally what's

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Speaker 1: on my screen in front of me. I I am

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Speaker 1: a trained monkey at this point. Well, I'm glad that

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Speaker 1: you're keeping good notes at the very least. But yes,

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Speaker 1: hello tech Stuff listeners. I am so glad to be

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Speaker 1: back talking again today. I don't even know what to

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Speaker 1: do without a third person sitting around this podcast table.

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Speaker 1: Any reference to forward Thinking where we have a three

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Speaker 1: person show. If you haven't check that out, you should

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Speaker 1: definitely check that out. Lauren is a a very important

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Speaker 1: part of that team. She's the one who makes sure

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Speaker 1: that the things we say aren't entirely wrong. I also

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Speaker 1: crack really inappropriate jokes, usually about bacteria. Yeah, we we

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Speaker 1: everyone's got their job. Joe's the X man, you know,

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Speaker 1: he's the one who wields the X. Yes, yes, absolutely true.

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Speaker 1: We haven't. We have a mystical ax ever there, right,

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Speaker 1: But to learn more about that, go check out that show.

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Speaker 1: Like Lauren said, today, we are going to look back

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Speaker 1: on the predictions we made and during the two thousand

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Speaker 1: fourteen Predicto rama, and uh, we like to really look

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Speaker 1: at each one, kind of see how well we did,

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Speaker 1: you know, kind of explore what actually unfolded in the year. Obviously,

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Speaker 1: predicting stuff is tough, right, Uh yeah, I think that

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Speaker 1: most of this episode is going to be devoted to

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Speaker 1: precisely how wrong we were, or or hedging around a

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Speaker 1: lot like well, if you squint and you tilt your head,

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Speaker 1: we're kind of right, it's not entirely inaccurate. So why

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Speaker 1: don't you start us off. I've got our our predictions

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Speaker 1: written down essentially in the same order as we made

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Speaker 1: them in the original show. All Right, the first one

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Speaker 1: that we've got here, I said that would be the

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Speaker 1: year that Facebook would go into serious decline and that

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Speaker 1: Twitter would see more daily action than Facebook. Yeah. Um, well,

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Speaker 1: here's the thing. Facebook certainly was starting to plateau because

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Speaker 1: once you have a billion people in your you know,

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Speaker 1: customer base, it's hard to add to that. You start

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Speaker 1: running out of people. Yeah, there's not you know, there's

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Speaker 1: like four point four billion people who don't have access

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Speaker 1: to the internet. They are they are already outside of

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Speaker 1: your area to grab, right. Um, but it it's growth

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Speaker 1: didn't stop. It did slow, Yes, it certainly did not decline.

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Speaker 1: Maybe with certain demographics. There were a lot of stories

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Speaker 1: about how young people were either abandoning or never a

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Speaker 1: opting Facebook, right, they were going for these other hit

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Speaker 1: straight for other sites. But um, but you know, even then,

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Speaker 1: it was more like growth rates were really small, not

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Speaker 1: not not disappearing. And yes, and their CFO David Warner,

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Speaker 1: in fact refused to break out the data for for

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Speaker 1: the specific levels of usage across age brackets because he

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Speaker 1: was asked point blank and he said, we don't have

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Speaker 1: that for you or that or we're not we're not

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Speaker 1: ready to share that at all. And interestingly, Twitter's growth

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Speaker 1: also slowed a little bit, although it was still growing

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Speaker 1: faster than Facebook. So I was almost not entirely totally wrong. Yeah, well,

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Speaker 1: let's see, I'm looking through the box here of things

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Speaker 1: that have to be awarded to people after each one.

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Speaker 1: We had the squids before you get apparently it's the

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Speaker 1: awesome mix tape from Guardians of the Galaxy, but it's

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Speaker 1: been taped over. Oh what has it been taped over with?

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Speaker 1: It sounds like it's very Manilow played at the wrong speed. Yeah,

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Speaker 1: so that's what you get. That's yours. That's so well,

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Speaker 1: thank you, Jonathan. You know, cherish it for minutes a fire. Yeah,

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Speaker 1: that's probably the best place to cherish it. My my

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Speaker 1: first prediction was that we'll see more social media platforms

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Speaker 1: that allow users to post messages that only exist for

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Speaker 1: a limited time before being deleted, so things like Snapchat.

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Speaker 1: But we didn't really see anything as high profile as snaps. Yeah,

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Speaker 1: nothing else really came up. I mean, of course, Snapchat

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Speaker 1: did continue to be popular issue and had some massive,

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Speaker 1: massive pr issues. I mean, there was a hack that

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Speaker 1: got access to a lot of user data from Snapchat.

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Speaker 1: The Snapchat CEO had some personal emails that leaked out

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Speaker 1: that were incredibly misogynistic and awful. Um A punch, a

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Speaker 1: bunch of apps came out that allow you to save

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Speaker 1: images sent to you in Snapchat, which kind of defeat

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Speaker 1: the entire purpose of s Chat an the worst. That's true,

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Speaker 1: That's completely true. There there were some other ones, like

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Speaker 1: there's one called Wicker that allows people to use to

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Speaker 1: send pictures, text video that has a self destruct feature

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Speaker 1: for those messages. Stealth messengers another one, and that quote

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Speaker 1: unquote burns messages after a given amount of time. Flamo

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Speaker 1: was another one. Uh Denote and Confide also let you

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Speaker 1: send messages that only stick around until they are read

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Speaker 1: and then they disappear. But none of these got traction

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Speaker 1: in the way Snapchat did, so I think while technically

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Speaker 1: I could say, yes, we saw more social platforms, we

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Speaker 1: didn't see a lot of them, so I'm not gonna

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Speaker 1: really consider that. So I get, oh, apparently I get

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Speaker 1: a plastic lay from Hawaii with the flowers missing, So well,

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Speaker 1: that's really it's plastic tubing with a couple of pedals on.

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Speaker 1: That's sort of minimalist. It's kind of nice, I guess,

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Speaker 1: you know, if you want to be all hipster ish. Alright.

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Speaker 1: My next one was that um price over quality will

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Speaker 1: dictate consumer purchasing decisions in and that therefore Apple would

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Speaker 1: lose uh market share to Android as part of that.

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Speaker 1: This is a hard one because we finding definitive market numbers.

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Speaker 1: I mean a lot of a lot of companies put

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Speaker 1: out uh kind of suspected numbers and proposed reports, but

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Speaker 1: they don't always come right out with how they arrived

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Speaker 1: at those numbers. Sometimes they'll do things like they'll analyze

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Speaker 1: traffic and they'll see, all right, well, this much traffic

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Speaker 1: came from Windows based machines, and this much traffic came

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Speaker 1: from Apple's based machines. So extrapolating from that data, we

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Speaker 1: assume the market shares this. But that just assumes that

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Speaker 1: the the browsing habits of both populations are exactly the same.

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Speaker 1: Right what if what if Apple Apple folks just don't

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Speaker 1: go on the internet very much? Yeah, maybe all we

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Speaker 1: do is play but jewel, that might mean that you

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Speaker 1: would get wrong answers. Anyway. The reason why we say

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Speaker 1: that this is because it's it's tough to say. I mean,

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Speaker 1: it is true. Android definitely has the market share over

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Speaker 1: over iOS. Oh yeah, yeah. According to a July report

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Speaker 1: from b GR, Android had sixty one nine percent of

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Speaker 1: the US market share as opposed to Apple with thirty

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Speaker 1: two point five. And then if you look at internationally,

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Speaker 1: we're talking eighty two point seven percent market share for Android.

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Speaker 1: That's huge. Um, that's in China specifically, and then seventy

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Speaker 1: three point three in Europe. But when the iPhone six

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Speaker 1: came out, because yeah, that's that's bound to have had

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Speaker 1: an impact on the numbers, and it did worldwide, Android

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Speaker 1: dropped about two point six percent but was still in

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Speaker 1: the majority with yeah exact. So I mean, maybe the

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Speaker 1: whole lose market share as Android became part of this

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Speaker 1: that it's tough to say. I mean, to do a

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Speaker 1: full year analysis, you would have to take a look

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Speaker 1: at this. I would say that more or less, Uh,

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Speaker 1: the iPhone six got people to come back because of

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Speaker 1: the dramatic redesign, Like it was such a departure. We

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Speaker 1: had gotten used to the iPhone just looking a little

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Speaker 1: different each year. It had been a while since they

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Speaker 1: had really gone back to truly redesigning that. So um,

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Speaker 1: I think that might have had something to do with it.

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Speaker 1: And then the rate, I think this one's about half right,

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Speaker 1: half wrong, maybe maybe right wrong, because really Android still

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Speaker 1: is dominant, So let me just root around in here. Uh,

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Speaker 1: here we go. Here's a stretch armstrong um already stretched out. Yeah.

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Speaker 1: Well but but I mean otherwise it's fine. He's not continry.

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Speaker 1: He's just got really long arms. That's that's. I like

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Speaker 1: long arms. That's good, you know. Uh, that's I always

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Speaker 1: like getting a hug from someone, right right, it's it's

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Speaker 1: it's like it's like a big human cephalopod. Creepy. Alright. So,

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Speaker 1: going back to mine, I said that smart TVs still

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Speaker 1: won't take off in two thousand fourteen, largely due to

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Speaker 1: the lack of a standardized experience, and a console and

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Speaker 1: set top boxes would still be more popular choices for consumers. Okay,

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Speaker 1: what I didn't think about because because here's here's my deal,

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Speaker 1: I didn't consider the fact that if television manufacturers only

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Speaker 1: make smart TVs and technically they'll be selling more smart TVs, right,

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Speaker 1: because that's the only choice you have. I didn't think

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Speaker 1: about that, which which in retrospect seems obvious. Um, I

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Speaker 1: don't know. I didn't. I really didn't think I was

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Speaker 1: with you on this one, I believe, and I really

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Speaker 1: didn't think that that many Moore manufacturers were going to

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Speaker 1: start integrating that necessarily. Yeah, I didn't either because I

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Speaker 1: had seen so many um lackluster implementation is trying to

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Speaker 1: come up with the word that didn't have a swear

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Speaker 1: in it. Uh. But at any rate, well, smart TV

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Speaker 1: sales didn't exactly skyrocket, but they definitely didn't hurt either. Uh.

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Speaker 1: And consoles and set top boxes are still doing all right.

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Speaker 1: It's it's just it wasn't It wasn't like a complete, um,

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Speaker 1: a pretty picture like I was saying in my prediction.

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Speaker 1: So I was kind of in the same boat, like

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Speaker 1: wrong somewhere around there. So I get se of a sandwich. Oh,

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Speaker 1: I have no idea how long that's been in here. Well,

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Speaker 1: that's shady and I wouldn't recommend eating it. No, I

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Speaker 1: think I'm just gonna put that next to the lay

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Speaker 1: and just just forget about it for now. That sounds

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Speaker 1: like a good plan. Well, well, Colin has Matt Team

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Speaker 1: as soon as possible. Uh. My next prediction was that

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Speaker 1: fitness trackers would really take off in like beyond early

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Speaker 1: adopters to the mainstream, Like I believe that like your

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Speaker 1: grandma and your cat are going to have a fitness tracker,

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Speaker 1: which is I think it's what I said. Yeah, and

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Speaker 1: I think you were right. I mean, the ownership of

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Speaker 1: fitness devices doubled in two thousand fourteen, So now it

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Speaker 1: was no longer that health nut down the street. Who

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Speaker 1: who gets all the that marathon or that you know?

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Speaker 1: It's right now, it's like everybody. I mean, I'm wearing

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Speaker 1: one right now. I'm only not because mine was out

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Speaker 1: of batteries today. Oh so you had to charge it. Yeah,

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Speaker 1: my charge mine last night. So the same sort of thing. Yeah.

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Speaker 1: And in fact, I had added on to your prediction.

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Speaker 1: I had said that wearable computers in general would get

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Speaker 1: a big boost in two thousand fourteen, fitness tractors being

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Speaker 1: in the lead, and you were also correct. Yeah, it

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Speaker 1: turns out that Business Insider was saying that the market

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Speaker 1: for wearables doubled in two thousand fourteen, not just for fitness,

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Speaker 1: but for everything. And plus Apple announced it's smart watch finally. Yeah,

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Speaker 1: we won't be able to get our hands on it

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Speaker 1: till two thousand fifteen. Right, But okay, so so doubled.

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Speaker 1: Give me an idea of the numbers behind the word double, yeah,

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Speaker 1: because that could mean like there were twenty last year

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Speaker 1: and now there are forty that would not be that exciting.

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Speaker 1: Two point five billion to five bill in dollars, that's

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Speaker 1: that's a big amount of money. That is not small.

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Speaker 1: It's just gonna keep getting bigger. So because we both

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Speaker 1: were totally spot on, we both get it looks like

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Speaker 1: a new fitbit. Oh no, wait, these are these are

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Speaker 1: the old ones that cause you to break out. But

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Speaker 1: it's still it's new ish to us. Hey, and I

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Speaker 1: don't have an allergy to whatever semi precious metal was

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Speaker 1: causing that problem. Yea, if it was nickel, I'm in bed, big,

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Speaker 1: big trouble. But all right, um not. Now I had

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Speaker 1: another one because I kind of added on to yours

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Speaker 1: that wasn't officially mine. Yeah, this one is that I

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Speaker 1: said NFC technology would still not take off in two

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Speaker 1: thousand and fourteen. Now, I specifically was referring to the

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Speaker 1: United States, right because as opposed to Europe where and

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Speaker 1: time ago, they're wondering what we're doing and whether or

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Speaker 1: not we will ever discover fire. Uh. But yeah, Apple

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Speaker 1: pay was announced and of course the new Apple iPhones

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Speaker 1: have NFC technology build into them, which was a huge

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Speaker 1: departure and its first time Apple had done that. But

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Speaker 1: Even so, while there was some excitement around it, I

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Speaker 1: still think it hasn't truly taken off. I think it's

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Speaker 1: more rare than than not more rare than common. Rather

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Speaker 1: to find a store that has a terminal well, especially

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Speaker 1: well at least in our area. And sure, I mean

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Speaker 1: maybe in some parts, like maybe in New York City.

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Speaker 1: You go down and there's like you know, New York City,

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Speaker 1: they're half loon ways the Southerners coming out of me.

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Speaker 1: But they may have NFC. Uh places like you know,

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Speaker 1: lots of places that except NFC as a matter of

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Speaker 1: a manner of payment. Um. But you know here in Atlanta,

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Speaker 1: we hardly ever see it. I don't think it's it's

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Speaker 1: as common. I think Apple is their push is really

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Speaker 1: helping in a way. But you have a note here

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Speaker 1: specifically the kind of points out something else besides Apple

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Speaker 1: that could be encouraging an adoption of some other technology.

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Speaker 1: Right right back in Bruary, following that really huge target

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Speaker 1: data breach, um, you remember the one you know, in

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Speaker 1: which forty million US customers had their credit card information

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Speaker 1: stolen because basically the HVAC guy didn't have a good

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Speaker 1: enough password security. True story. Um, So after that Congress MasterCard,

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Speaker 1: the US Congress, not a company called Congress MasterCard, and

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Speaker 1: Visa all kind of got together and made a whole

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Speaker 1: lot of buzz about United States credit cards, all incorporating

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Speaker 1: smart card technology. By late um. Smart cards, of course,

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Speaker 1: are also driven by a form of near field communication technology,

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Speaker 1: and some of the NFC terminals that are currently in

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Speaker 1: circulation are in fact compatible with Google Wallet and Apple

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Speaker 1: Pay and et cetera. So um, so we have seen

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Speaker 1: more NFC stuff this year, um and I and I

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Speaker 1: think that it might be that those two things together

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Speaker 1: might drive the whole thing into an actual state of being.

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Speaker 1: Maybe sixteen that's going to be the era of NFC

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Speaker 1: finally making its way into the United States, whereas I'm

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Speaker 1: sure by Europe they'll be paying by pure thought or

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Speaker 1: something at that point. But at any rate, Uh, I

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Speaker 1: I also thought it was. I think one of the

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Speaker 1: other things that's been holding it back is that you

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Speaker 1: have all these different competing standards for NFC. You know,

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Speaker 1: Apple Pay, Google Wallet. There was a big story about

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Speaker 1: CBS and right Aid uh saying they were not going

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Speaker 1: to support Apple Pay, and upon closer inspection, it appears

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Speaker 1: that maybe the reason for that is because they want

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Speaker 1: to promote their own NFC payment called credit c something

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Speaker 1: like that, our currency. I just remember reading about it

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Speaker 1: at some point last year. So that's another issue. Is

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Speaker 1: just just that when you have all these different proprietary

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Speaker 1: approaches to something, some are more open than others, but

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Speaker 1: all of them kind of have a big name behind them,

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Speaker 1: then everyone wants to be that that guy. Everyone you know,

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Speaker 1: they want all the payments to go through their system. Yeah,

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Speaker 1: I mean it makes sense, but it also means can't

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Speaker 1: we all just get a lot? Right? I just want

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Speaker 1: to pay for but stuff, so I get Oh, I've

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Speaker 1: got a defunct NFC chip, which is just as useful

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Speaker 1: to me today as it was last year. Okay. My

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Speaker 1: next one was that the PC, including both desktops and laptops,

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Speaker 1: would continue its decline in as tablets became less expensive

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Speaker 1: and more capable. So very similar to your your UM

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Speaker 1: price over quality kind of approach, same sort of thing. Plus,

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Speaker 1: as it turns out, we saw some really interesting trends.

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Speaker 1: People are starting to hold onto their electronics longer than

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Speaker 1: they used to because these are expensive things, all right. Yeah, yeah,

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Speaker 1: if you're spending five hundred bucks on a tablet, you

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Speaker 1: probably don't feel a lot of urge. I mean, unless

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Speaker 1: you have lots of discretionary income, you probably don't feel

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Speaker 1: the urge to go an upgrade every year. Sure, especially

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Speaker 1: seeing as how um like like software that you would

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Speaker 1: be using on the internet, for example, is not advancing

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Speaker 1: quite at the rate that it perhaps was back in

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Speaker 1: the era of the desktop. Yeah, when it was just

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Speaker 1: when you know, when when you had when a new

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Speaker 1: game came out once a month and you were like, well,

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Speaker 1: my graphics card can't handle this. And I looked into

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Speaker 1: this and accorded to Gartner, traditional PCs have. In fact,

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Speaker 1: they've declined yet again, two nine six million units to

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Speaker 1: two seventy six million units in two thousand and fourteen.

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Speaker 1: Now Ultramobile premium PCs, those super fancy, schmancy, sexy, sleek

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Speaker 1: PCs that we're going on sale right after CS like

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Speaker 1: two years ago. Ultramobile. Yeah, that's sorry, that's a buzz term.

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Speaker 1: I mean it's only like that. I think of like

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Speaker 1: the MacBook Air, you know, things that are just super

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Speaker 1: easy to carry around. Yeah, that's the supposed Because I

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Speaker 1: don't have one, so I can't. I mean, if someone

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Speaker 1: wants to send me a MacBook Air for me to

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Speaker 1: carry around. But yeah, those those actually went up, those

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Speaker 1: sales went from twenty one point five to thirty seven

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Speaker 1: point six. But even with that figure, you're still talking

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Speaker 1: about a net decline and overall PC decline it and yeah,

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Speaker 1: and I can see something something like a like a

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Speaker 1: very sleep laptop like that obviously being a little bit

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Speaker 1: outside the the area that I was discussing. You were

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Speaker 1: looking at the general trend as opposed to like, well,

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Speaker 1: there's always some segment of the population that you know,

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Speaker 1: they like the they like the shiny shiny Sure. Of course,

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Speaker 1: of course, UM tablets did see growth um from two

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Speaker 1: hundred and seven million units in to two nine million. Yeah. Yeah, So,

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Speaker 1: I mean your prediction was was pretty much dead on.

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Speaker 1: So this was kind of a gimme. I mean, like

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Speaker 1: I I felt like this was a gimme at anything.

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Speaker 1: Even so, whenever we make a prediction, there's always the

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Speaker 1: chance that someone is going to come along and and

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Speaker 1: turn it on its head. Something that we think is

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Speaker 1: completely obvious and completely like this is going to happen.

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Speaker 1: You never know. Sometimes, like a new company comes out

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Speaker 1: and they offer something that everyone suddenly wants for no

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Speaker 1: apparent reason. Uh, girls started wearing their hair inside ponytails again. Well, yeah, okay,

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Speaker 1: will you get um to clay tablets? So here you go. Oh,

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Speaker 1: they're a little bit heavy, They're they're a little heavy.

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Speaker 1: I don't know what kind of cuneiform that is, but yeah,

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Speaker 1: and I'm I'm guessing that I just shouldn't read it

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Speaker 1: out loud as soon as I figure out how to

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Speaker 1: translate it. Yeah, that we ever, since we had the

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Speaker 1: old ones come and take over the break room that day.

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Speaker 1: I just don't like to to to tempt fate. It

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Speaker 1: was a it was a rough lunch, it was, it

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Speaker 1: was a rough morning. But I really like the smell

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Speaker 1: of seaweeds, so it was kind of okay. Well, I mean,

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Speaker 1: you know, like three people lost their sanity, but in

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Speaker 1: this place, who could tell? And Ben's recovering, well, he's

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Speaker 1: doing much better than we should. All right, Luren, it's

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Speaker 1: your turn again. All right. I said that Windows would

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Speaker 1: essentially get pushed out of the tablet market due to

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Speaker 1: lack of adoption by consumers. Yeah, and according to net

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Speaker 1: market Share, again, we had to look at lots of

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Speaker 1: different sources to get market share numbers. Android has about

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Speaker 1: forty five point seven eight percent of the tablet market.

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Speaker 1: Apple has about forty four point sixty one. That doesn't

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Speaker 1: leave a whole lot of percent for anybody else. I

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Speaker 1: know those of you counting along at home will notice

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Speaker 1: that that's about It leaves Windows with about two point

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Speaker 1: one three percent of the market, and the other takes

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Speaker 1: up the rest. Actually other has more than Windows. Yeah,

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Speaker 1: but however, that was just one source. If you went

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Speaker 1: to Statista, they had very different numbers. They said that

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Speaker 1: Android holds seventy two percent of the market and Apple

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Speaker 1: twenty two point three and Microsoft has a slightly more

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Speaker 1: less depressing Yeah, it went up from two point one

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Speaker 1: three under net market Share to five point seven under Statista.

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Speaker 1: So here's the thing is that net market Share uses

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Speaker 1: those web analytics I talked about earlier to look at traffic,

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Speaker 1: and so they then extrapolate from like, well, this number

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Speaker 1: of people were using iPads to access the site, and

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Speaker 1: this number of people were using Android, this number of

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Speaker 1: people were using Microsoft, and then we extrapolate from that.

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Speaker 1: I don't know where Statista, how they how they generate

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Speaker 1: their statistics. So uh, either way, you look at this

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Speaker 1: and it's telling a story and The story is that

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Speaker 1: Microsoft isn't also ran right, been in the tablet market.

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Speaker 1: It's uh, and they had a lot of issues with

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Speaker 1: Windows eight. You know, people having problems with it, people

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Speaker 1: not really liking the design. Even in the tablet format,

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Speaker 1: which it was really meant more for. It was suited

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Speaker 1: for a touch screen interface much more than it was

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Speaker 1: for a non touch screen interface. So I'll tell you

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Speaker 1: that I got a Windows eight machine at home, and uh,

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Speaker 1: and it does not have a touch screen interface. And

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Speaker 1: I mean, I I like Windows well enough, but guess what,

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Speaker 1: I don't use the tiled interface very much. I go

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Speaker 1: to the desktop. So and part of that may just

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Speaker 1: be because that's kind of how I trained myself, right,

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Speaker 1: I'm used to the desktop. Part of it just might

385
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Speaker 1: be the design is is it's better for the mouse,

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Speaker 1: you know, point and click approach as opposed to a

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Speaker 1: touchscreen of at any rate, you did get that, right,

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Speaker 1: and you get a copy of Windows eight. Oh, I'm

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Speaker 1: gonna add that to that fire where I'm cherishing that

390
00:22:33,600 --> 00:22:37,920
Speaker 1: half speed Berry Mantelo tape. Yeah. Sorry, it's just whatever's

391
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Speaker 1: in the box. Right, We're about to move. Actually, here's

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Speaker 1: here's a little peek behind the curtain at how stuff works.

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Speaker 1: We're we're going to our office is relocating, so we've

394
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Speaker 1: been packing stuff up. But this is kind of the

395
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Speaker 1: I think this is just what everyone's junk drawer got

396
00:22:50,480 --> 00:22:54,520
Speaker 1: emptied into. Yeah, we've we've had this kind of growing box.

397
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Speaker 1: It's got some slime coming out of the bottom. I

398
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Speaker 1: think that was from that time you and I did

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Speaker 1: that talk on slow Time. Oh yeah, that was a

400
00:23:02,000 --> 00:23:04,480
Speaker 1: good talk. That was a good talk. Yeah, maybe we

401
00:23:04,520 --> 00:23:06,760
Speaker 1: should have sealed those bottles. That might have been better

402
00:23:06,840 --> 00:23:08,800
Speaker 1: than just putting it in cardboard, now that I think

403
00:23:08,880 --> 00:23:11,320
Speaker 1: on it. Yeah, that was a weird day, so we

404
00:23:11,480 --> 00:23:14,800
Speaker 1: were really thinking clearly. At any rate. My next prediction

405
00:23:14,920 --> 00:23:18,359
Speaker 1: is that we'll see more autonomous car technology incorporated into cars,

406
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Speaker 1: things like collision detection, parking assistance, that sort of stuff.

407
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Speaker 1: But there will be no autonomous car on the market

408
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Speaker 1: in two thousand and fourteen, which was such a gimme

409
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Speaker 1: that I don't even know why I even made that prediction.

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Speaker 1: I mean the fact, no one, no one would. I

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Speaker 1: don't think anyone would realistically expect an autonomous car to

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Speaker 1: be on the consumer market and anytime in the next

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Speaker 1: couple of years, I don't know. I I feel like

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Speaker 1: there was buzz around the end of last year that,

415
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Speaker 1: you know, because we had just seen some of those

416
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Speaker 1: Google prototypes and people were like, it's coming, It's coming tomorrow,

417
00:23:48,200 --> 00:23:50,720
Speaker 1: Like no, kids, like Santa doesn't come until, you know,

418
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Speaker 1: if you have to calm everyone down a little bit.

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Speaker 1: So you tried, that's true. I'm maybe maybe you're being

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Speaker 1: very fair. I'm going to say, yeah, maybe it was

421
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Speaker 1: one more of a a kind of let's let's let's

422
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Speaker 1: be a little more cautious and not pessimistic, but realistic

423
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Speaker 1: in our expectations so that we don't get disappointed. Sure, sure,

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Speaker 1: because you know, we are seeing some of this technology

425
00:24:14,880 --> 00:24:18,760
Speaker 1: being incorporated into, for example, high end luxury vehicles, and

426
00:24:18,920 --> 00:24:21,600
Speaker 1: now it's getting into regular cars in the fleet. That's

427
00:24:21,640 --> 00:24:23,600
Speaker 1: the cool thing. Like this is stuff that for a

428
00:24:23,680 --> 00:24:27,200
Speaker 1: while you could only find in the premium stuff like

429
00:24:27,280 --> 00:24:32,920
Speaker 1: the the super high end you know fifty stuff, and

430
00:24:33,000 --> 00:24:36,000
Speaker 1: now you're getting it into the the regular cars that

431
00:24:36,240 --> 00:24:38,240
Speaker 1: like you know, when I say regular cars, like you're

432
00:24:38,280 --> 00:24:40,879
Speaker 1: going to go shopping for just you want sedan and

433
00:24:40,960 --> 00:24:42,760
Speaker 1: you're looking at sedans, a lot of them are going

434
00:24:42,840 --> 00:24:44,720
Speaker 1: to have some of these features built into the Yeah,

435
00:24:44,720 --> 00:24:46,720
Speaker 1: your Toyota, your Honda or whatever it is. Part of

436
00:24:46,760 --> 00:24:49,240
Speaker 1: it is that it's being mandated, right, These things that

437
00:24:49,320 --> 00:24:52,000
Speaker 1: are being proven to help with with safety are now

438
00:24:52,119 --> 00:24:55,320
Speaker 1: being mandated to be included in cars. So that's not

439
00:24:55,560 --> 00:24:58,320
Speaker 1: like the manufacturers have a whole lot of choice in

440
00:24:58,359 --> 00:25:02,560
Speaker 1: the matter. But it also mean it's adding cost to vehicles.

441
00:25:02,640 --> 00:25:05,320
Speaker 1: I had Scott Benjamin on this show, and he pointed

442
00:25:05,359 --> 00:25:09,520
Speaker 1: out how the price of cars has increased faster than

443
00:25:09,680 --> 00:25:12,960
Speaker 1: inflation alone would explain. And part of that is because

444
00:25:12,960 --> 00:25:15,680
Speaker 1: we're seeing some of this technology incorporated into our cars,

445
00:25:16,040 --> 00:25:19,080
Speaker 1: driving the car price up. Uh. And you know, you

446
00:25:19,119 --> 00:25:21,720
Speaker 1: figure they're making a profit too, so it's not just

447
00:25:21,960 --> 00:25:26,159
Speaker 1: the raw cost of the person. So since I got

448
00:25:26,240 --> 00:25:28,639
Speaker 1: most of that right, I'm getting Uh, it looks like

449
00:25:28,720 --> 00:25:34,000
Speaker 1: it's a matchbox car, a little little Google prototype driving matchbox.

450
00:25:34,080 --> 00:25:36,040
Speaker 1: Oh wait, no, this is actually one of the Google

451
00:25:36,080 --> 00:25:40,640
Speaker 1: prototype cars. They're just that small. Okay, well that's fancy. Yeah,

452
00:25:40,840 --> 00:25:43,160
Speaker 1: no it is, Fanny. I mean I can't drive it anywhere.

453
00:25:43,320 --> 00:25:47,360
Speaker 1: Well does it have a tiny, little shrunken person in it? Um? Yeah, yeah,

454
00:25:47,400 --> 00:25:49,680
Speaker 1: they're just their fingers just right there on the stop button.

455
00:25:49,800 --> 00:25:52,119
Speaker 1: Do we do we need to feed it. You know,

456
00:25:52,240 --> 00:25:53,719
Speaker 1: I'm gonna have to look into it. I'll see if

457
00:25:53,720 --> 00:25:55,800
Speaker 1: there's like a guide here. Why don't you take the

458
00:25:55,840 --> 00:25:59,639
Speaker 1: next one? Sure? Sure, Okay. We asked both of ourselves

459
00:26:00,040 --> 00:26:04,560
Speaker 1: whether the PS four or the Xbox One would reign supreme.

460
00:26:04,800 --> 00:26:07,920
Speaker 1: We didn't even give the Wi you a fighting chance

461
00:26:07,960 --> 00:26:15,680
Speaker 1: in this game, oh art sick burn Okay, yeah, yeah.

462
00:26:15,760 --> 00:26:18,320
Speaker 1: So I predicted that the Xbox One would wind up

463
00:26:18,400 --> 00:26:20,879
Speaker 1: being the winner as far as sales go, and I

464
00:26:21,000 --> 00:26:23,560
Speaker 1: said that they would be pretty much on equal footing

465
00:26:23,600 --> 00:26:27,080
Speaker 1: by the end of the year. Um and again once

466
00:26:27,160 --> 00:26:29,399
Speaker 1: we get to a point the fact that that the

467
00:26:29,520 --> 00:26:33,000
Speaker 1: sales figures are not always shared by both Microsoft and Sony.

468
00:26:33,119 --> 00:26:36,040
Speaker 1: But from what we can see, PS four, oh yeah

469
00:26:36,160 --> 00:26:38,919
Speaker 1: it was. It was. I mean, I maintain that at

470
00:26:38,960 --> 00:26:42,000
Speaker 1: this point last year I did not imagine that Sony

471
00:26:42,119 --> 00:26:43,399
Speaker 1: was going to knock it out of the park the

472
00:26:43,440 --> 00:26:46,560
Speaker 1: way that they did. But they, I mean, they were

473
00:26:46,880 --> 00:26:51,080
Speaker 1: such they were like a dark steam horse, like they

474
00:26:51,200 --> 00:26:54,800
Speaker 1: just ran with it. Well they had They had most

475
00:26:54,880 --> 00:26:57,760
Speaker 1: of the same compelling games that Xbox One had, plus

476
00:26:57,840 --> 00:27:01,239
Speaker 1: a lot that Xbox did not have that helped Um.

477
00:27:01,320 --> 00:27:03,560
Speaker 1: There was more of a focus on gaming for the

478
00:27:03,640 --> 00:27:06,840
Speaker 1: early part of Sony's approach, and it was only at

479
00:27:07,480 --> 00:27:09,680
Speaker 1: the two thousan fourteen e three that they started talking

480
00:27:09,760 --> 00:27:12,800
Speaker 1: about the other stuff, whereas Microsoft started the other way around,

481
00:27:12,960 --> 00:27:15,640
Speaker 1: right They started by talking about here's all the entertainment

482
00:27:15,680 --> 00:27:18,040
Speaker 1: things your Xbox can do, and then the next year

483
00:27:18,080 --> 00:27:21,600
Speaker 1: doing oh, it plays games. So uh, it was kind

484
00:27:21,600 --> 00:27:24,440
Speaker 1: of an interesting flip flop and strategies within these two companies.

485
00:27:24,560 --> 00:27:27,000
Speaker 1: But yeah, p S four units just sold way more.

486
00:27:27,080 --> 00:27:30,800
Speaker 1: Now the gap has been closing. According to Motley Full

487
00:27:30,840 --> 00:27:33,720
Speaker 1: PS four sold thirteen point five million units in November

488
00:27:34,200 --> 00:27:38,600
Speaker 1: and Xbox sold ten million. But but things may change

489
00:27:38,640 --> 00:27:42,240
Speaker 1: infen we may see that kind of even out a

490
00:27:42,320 --> 00:27:46,000
Speaker 1: little more. Um It'll really depend on the focus that

491
00:27:46,080 --> 00:27:49,240
Speaker 1: each company gives that that division. And I think both

492
00:27:49,280 --> 00:27:53,000
Speaker 1: Sony and Microsoft see the value in those divisions. But

493
00:27:53,080 --> 00:27:58,280
Speaker 1: I think Sony might pay more attention the CEO of Microsoft.

494
00:27:58,440 --> 00:28:02,119
Speaker 1: I think he knows that there's you too, the Xbox division.

495
00:28:02,200 --> 00:28:04,160
Speaker 1: But when you look at Microsoft and how much money

496
00:28:04,200 --> 00:28:07,400
Speaker 1: they make from their productivity software, Xbox is a drop

497
00:28:07,480 --> 00:28:10,920
Speaker 1: in the bucket. So I don't know that the company

498
00:28:11,000 --> 00:28:14,800
Speaker 1: overall values the Xbox to the same extent that Sony

499
00:28:14,880 --> 00:28:17,359
Speaker 1: as a company values the PS four. I'm getting more

500
00:28:17,400 --> 00:28:21,240
Speaker 1: and more of the feeling that nobody at Microsoft plays games,

501
00:28:21,720 --> 00:28:24,760
Speaker 1: especially the people who work on Xbox either that they

502
00:28:24,840 --> 00:28:28,840
Speaker 1: only play Flight Simulator. Yeah, that's the game that they play. Well.

503
00:28:29,240 --> 00:28:31,400
Speaker 1: Since we both were off on this, we both get

504
00:28:31,840 --> 00:28:36,400
Speaker 1: uh oh, we have to share a we you oh, Fox,

505
00:28:37,000 --> 00:28:39,320
Speaker 1: I'll let you take it for I don't know. I

506
00:28:39,480 --> 00:28:43,000
Speaker 1: don't We'll worry about that later. Okay, so maybe my

507
00:28:43,120 --> 00:28:45,680
Speaker 1: pug will like it. There you go. Yeah, you know

508
00:28:45,920 --> 00:28:48,760
Speaker 1: I've seen I've seen animals play with the little tablet

509
00:28:48,840 --> 00:28:50,760
Speaker 1: thing on the Nintendo. We you We're gonna have so

510
00:28:50,800 --> 00:28:53,080
Speaker 1: many Nintendo. First of all, you don't have to worry

511
00:28:53,080 --> 00:28:57,440
Speaker 1: about it, but I'm going to have kidding. I'm kidding.

512
00:28:57,560 --> 00:28:59,680
Speaker 1: If anyone gave me a wee U, I would totally

513
00:28:59,800 --> 00:29:04,080
Speaker 1: use it. I'm not I love Nintendo. Okay, I can't

514
00:29:04,080 --> 00:29:07,200
Speaker 1: tell you how many afternoons I've spent playing Super Smash Brokers.

515
00:29:07,480 --> 00:29:11,840
Speaker 1: It's a great game, but it's that's the one about

516
00:29:11,880 --> 00:29:16,320
Speaker 1: like Wall Street, right, Okay. My next prediction is we'll

517
00:29:16,360 --> 00:29:19,440
Speaker 1: see a lot more low energy bluetooth beacon technology and

518
00:29:19,480 --> 00:29:22,480
Speaker 1: operation at various venues and stores. This one depends on

519
00:29:22,600 --> 00:29:25,800
Speaker 1: what you meant by a lot more. Yeah, got incorporated

520
00:29:25,840 --> 00:29:29,520
Speaker 1: into more stadiums and arenas, so it was it became

521
00:29:29,600 --> 00:29:33,280
Speaker 1: more of a thing at various sporting venues, but not

522
00:29:33,680 --> 00:29:35,479
Speaker 1: not as much as I can tell, in a lot

523
00:29:35,560 --> 00:29:37,520
Speaker 1: of stores. Like it was one of those things that

524
00:29:37,640 --> 00:29:39,200
Speaker 1: was kind of being talked about at the end of

525
00:29:40,440 --> 00:29:44,200
Speaker 1: this interesting idea of having all these little Bluetooth stations

526
00:29:44,240 --> 00:29:46,400
Speaker 1: set up in your store so that as you the

527
00:29:46,520 --> 00:29:50,160
Speaker 1: consumer walk around, you get things like coupons for stuff,

528
00:29:50,360 --> 00:29:54,120
Speaker 1: or you get a notification on, Hey, you know you

529
00:29:54,200 --> 00:29:56,320
Speaker 1: bought this one thing. Here are these other three things

530
00:29:56,360 --> 00:29:59,160
Speaker 1: that are gonna look awesome with that one thing you bought. Yeah,

531
00:29:59,200 --> 00:30:01,560
Speaker 1: we did a whole episode on that at some point

532
00:30:01,680 --> 00:30:04,960
Speaker 1: last year. I did, We did, and if you would

533
00:30:05,000 --> 00:30:07,840
Speaker 1: like to climb it. But but as it turns out,

534
00:30:07,920 --> 00:30:11,520
Speaker 1: it didn't really get a lot of a lot of adoption.

535
00:30:11,640 --> 00:30:14,280
Speaker 1: So it was one of those things that, like a

536
00:30:14,320 --> 00:30:15,800
Speaker 1: lot of technology, you know, it was one of those

537
00:30:15,800 --> 00:30:17,440
Speaker 1: things that got a lot of talk early on, and

538
00:30:17,520 --> 00:30:20,480
Speaker 1: it's just taking time to get adopted, whether or not

539
00:30:20,640 --> 00:30:23,280
Speaker 1: it ever gets rolled out in the larger format. I

540
00:30:23,360 --> 00:30:25,480
Speaker 1: think some things that might hold it back again are

541
00:30:25,640 --> 00:30:28,680
Speaker 1: the consumer experience. If you have to download an app

542
00:30:28,760 --> 00:30:31,040
Speaker 1: for every single store you go to, that's not a

543
00:30:31,120 --> 00:30:33,400
Speaker 1: good experience. No, no, not at all. I mean I'm

544
00:30:33,440 --> 00:30:35,080
Speaker 1: already at a point like I have a phone that

545
00:30:35,160 --> 00:30:38,360
Speaker 1: has very low storage, and whenever I'm trying just to

546
00:30:38,560 --> 00:30:41,240
Speaker 1: update the things I already have on it, I get

547
00:30:41,320 --> 00:30:43,760
Speaker 1: notifications saying you don't have enough storage space to update

548
00:30:43,800 --> 00:30:45,320
Speaker 1: your apps, And I have to go on there and say,

549
00:30:45,360 --> 00:30:47,200
Speaker 1: all right, well, what am I ready to get rid

550
00:30:47,200 --> 00:30:50,360
Speaker 1: of you? Yeah? What happened I've been to in a year? Well,

551
00:30:50,520 --> 00:30:55,960
Speaker 1: path goodbye or squares later. So yeah, so since that

552
00:30:56,120 --> 00:30:58,760
Speaker 1: didn't get that, it looks like, um, I'm getting a

553
00:30:58,840 --> 00:31:03,520
Speaker 1: blue tooth. Oh yeah, it's some someone's tooth. That is

554
00:31:04,280 --> 00:31:08,160
Speaker 1: all right. Whoever at how stuff works keeps leaving teeth

555
00:31:08,240 --> 00:31:13,360
Speaker 1: around here, seek help, preferably outside of this office. Yeah,

556
00:31:13,920 --> 00:31:19,440
Speaker 1: um yeah, because that's just super creepy. Uh My next

557
00:31:19,560 --> 00:31:22,560
Speaker 1: one was that we will see data collection technology like

558
00:31:22,680 --> 00:31:25,840
Speaker 1: fitness trackers extend to lots of different tech and feeding

559
00:31:25,920 --> 00:31:28,440
Speaker 1: that info back to us. Now, we saw a lot

560
00:31:28,480 --> 00:31:34,320
Speaker 1: of this, particularly with smartphones especially, and like Google now

561
00:31:34,680 --> 00:31:37,800
Speaker 1: is a big one right where you do some browsing online.

562
00:31:37,880 --> 00:31:41,040
Speaker 1: If you are signed into a Google account and you

563
00:31:41,120 --> 00:31:44,400
Speaker 1: do some activity online, it gets connected to your if

564
00:31:44,440 --> 00:31:46,640
Speaker 1: you have an Android phone, to your Android phone. So

565
00:31:46,960 --> 00:31:49,920
Speaker 1: this can seem creepy or awesome depending upon your point

566
00:31:49,960 --> 00:31:53,160
Speaker 1: of view and how it is presented to you. There

567
00:31:53,200 --> 00:31:55,920
Speaker 1: are times when I thought, Wow, that was amazing, and

568
00:31:55,920 --> 00:31:57,640
Speaker 1: there are other times when I thought, I need to

569
00:31:57,680 --> 00:32:01,800
Speaker 1: be careful because the research stuff here at how stuff

570
00:32:01,840 --> 00:32:04,240
Speaker 1: works all the time. Right, oh yeah, kind of really

571
00:32:04,400 --> 00:32:07,200
Speaker 1: weird things. Yes, sometimes some of the stuff we talk

572
00:32:07,280 --> 00:32:09,360
Speaker 1: about is a little on the weird side. And I've

573
00:32:09,400 --> 00:32:12,120
Speaker 1: got I used Google Chrome and I'm signed it, so

574
00:32:12,320 --> 00:32:14,000
Speaker 1: I don't think about it while I'm doing it. I'm

575
00:32:14,040 --> 00:32:16,520
Speaker 1: just doing my job and so I'm but then I

576
00:32:16,600 --> 00:32:18,800
Speaker 1: get a Google Now things saying hey, I know that,

577
00:32:18,960 --> 00:32:22,600
Speaker 1: notice that you're really interested in blue teeth, blue teeth

578
00:32:22,600 --> 00:32:26,960
Speaker 1: and squitting tattoos. There's there's this great bluetooth squitting tattoo

579
00:32:27,040 --> 00:32:29,560
Speaker 1: parlor that's three ft away from where you're standing right now,

580
00:32:29,640 --> 00:32:31,760
Speaker 1: and they're looking at you go on in their weird

581
00:32:32,080 --> 00:32:34,520
Speaker 1: yeah yeah, yeah, well told them to expect you, And

582
00:32:35,040 --> 00:32:37,800
Speaker 1: that's a little creepy. We booked an appointment for you right,

583
00:32:37,880 --> 00:32:39,520
Speaker 1: um yeah, because because it will do the kind of

584
00:32:39,600 --> 00:32:42,560
Speaker 1: thing like like, for example, if you have purchased a

585
00:32:42,840 --> 00:32:48,240
Speaker 1: plane ticket, um, and it knows if you're a couple

586
00:32:48,320 --> 00:32:51,000
Speaker 1: hours away from the airport that you are supposed to

587
00:32:51,040 --> 00:32:53,760
Speaker 1: be at for when that plane is leaving, It'll send

588
00:32:53,800 --> 00:32:55,960
Speaker 1: you a note like, hey, dude, you might want to

589
00:32:56,000 --> 00:32:58,120
Speaker 1: get on that train. Right yeah. I'll even give you

590
00:32:58,280 --> 00:33:01,440
Speaker 1: traffic directions things like that to say, like, in order

591
00:33:01,480 --> 00:33:02,800
Speaker 1: for you to make your flight, this is what you

592
00:33:02,880 --> 00:33:05,400
Speaker 1: need to do right now. Uh. Same thing for like

593
00:33:05,520 --> 00:33:07,840
Speaker 1: theater tickets, like if if you've bought them and you

594
00:33:08,000 --> 00:33:11,280
Speaker 1: use your your Gmail address as you're the one that

595
00:33:11,400 --> 00:33:14,840
Speaker 1: you're you know, buying stuff for and now that Gmail

596
00:33:14,920 --> 00:33:17,520
Speaker 1: and Google Wallet sync up, yep, then you can get

597
00:33:17,600 --> 00:33:20,280
Speaker 1: these sort of messages too. Now granted that was just

598
00:33:20,440 --> 00:33:22,320
Speaker 1: one implementation of what I was thinking of. I was

599
00:33:22,400 --> 00:33:25,760
Speaker 1: thinking of also about stuff that gives you like real

600
00:33:25,840 --> 00:33:29,080
Speaker 1: time usage data info that you you know, maybe it's

601
00:33:29,120 --> 00:33:31,080
Speaker 1: put in the form of a chart or a graph.

602
00:33:31,600 --> 00:33:34,200
Speaker 1: We've seen some of that too. Uh. Cars are definitely

603
00:33:34,560 --> 00:33:37,760
Speaker 1: starting to use this more and more. Um. We saw

604
00:33:37,840 --> 00:33:39,600
Speaker 1: that start off with things like the Prius where it

605
00:33:39,600 --> 00:33:41,080
Speaker 1: would tell you how much gas you were using. But

606
00:33:41,120 --> 00:33:43,800
Speaker 1: now we're starting to see it in lots of stuff. Uh,

607
00:33:44,160 --> 00:33:47,400
Speaker 1: we're also seeing it in security systems, where it'll give

608
00:33:47,440 --> 00:33:49,320
Speaker 1: you reports on how many times your front door has

609
00:33:49,360 --> 00:33:52,040
Speaker 1: been open in a day. That kind of thing, UM

610
00:33:52,240 --> 00:33:54,960
Speaker 1: so interesting. I mean, you know, if you if you're

611
00:33:55,120 --> 00:33:57,440
Speaker 1: like parents and you've got kids, then that might be

612
00:33:57,520 --> 00:33:59,400
Speaker 1: a really valuable thing to say, like, oh, it was

613
00:34:00,040 --> 00:34:01,880
Speaker 1: Billy home. If not, then do I need to go

614
00:34:01,960 --> 00:34:05,280
Speaker 1: on the warpath that kind of thing. So we are

615
00:34:05,320 --> 00:34:07,840
Speaker 1: seeing a lot more of this. So I get a

616
00:34:08,120 --> 00:34:14,319
Speaker 1: notebook of just data, just raw data like ones and zeros. Yeah,

617
00:34:15,360 --> 00:34:18,080
Speaker 1: I mean there's some scribbles in here. Looks I'm pretty

618
00:34:18,160 --> 00:34:22,920
Speaker 1: sure this is Josh's handwriting. Yeah, it says smells nice,

619
00:34:23,400 --> 00:34:24,920
Speaker 1: just next to a bunch of ones. And I'm going

620
00:34:24,960 --> 00:34:27,879
Speaker 1: to have to run that through translator at some point,

621
00:34:27,880 --> 00:34:30,440
Speaker 1: I'm not sure if I'm gonna be alright. Similar to

622
00:34:30,560 --> 00:34:33,520
Speaker 1: my cuneiform tablets, I'm going to suggest that you don't

623
00:34:33,560 --> 00:34:37,040
Speaker 1: read it out loud once you figure out, yeah how

624
00:34:37,120 --> 00:34:40,080
Speaker 1: to do so. Good point. Okay. My next one was

625
00:34:40,200 --> 00:34:43,080
Speaker 1: that other big companies like Amazon would join the game

626
00:34:43,120 --> 00:34:47,320
Speaker 1: to provide cloud storage and services, more focus being on

627
00:34:47,480 --> 00:34:53,040
Speaker 1: the cloud and less on individual devices. So we're seeing

628
00:34:53,760 --> 00:34:56,640
Speaker 1: a lot of of cloud services out there. I mean

629
00:34:56,680 --> 00:35:01,359
Speaker 1: Google has Google Cloud Platform, Microsoft has the Azure old services, right,

630
00:35:01,480 --> 00:35:03,719
Speaker 1: I meant to individuals, not to I mean, because they

631
00:35:03,719 --> 00:35:07,200
Speaker 1: already had provided lots of cloud stuff to companies. Yeah. Yeah,

632
00:35:07,320 --> 00:35:09,480
Speaker 1: and we're starting to see some more of that. We're

633
00:35:09,480 --> 00:35:11,799
Speaker 1: seeing a lot more infrastructure as a service that would

634
00:35:11,800 --> 00:35:15,320
Speaker 1: be more to the companies, but uh, we're definitely seeing

635
00:35:16,680 --> 00:35:20,359
Speaker 1: maturation of that. Like Google Drive has evolved over the time,

636
00:35:20,400 --> 00:35:22,399
Speaker 1: and that I used, I mean we use that here

637
00:35:23,640 --> 00:35:27,000
Speaker 1: time more or less continually. I have way more Google Docs.

638
00:35:27,080 --> 00:35:28,839
Speaker 1: But I really want to think about at any given

639
00:35:28,880 --> 00:35:30,920
Speaker 1: point in time, actually some point going to have to

640
00:35:30,960 --> 00:35:33,759
Speaker 1: go and start clearing stuff out because I think I've reached, um,

641
00:35:34,400 --> 00:35:38,279
Speaker 1: thirty something per cent of my full capacity and they

642
00:35:38,320 --> 00:35:41,480
Speaker 1: give you like gigs of space or something. It's crazy

643
00:35:41,920 --> 00:35:45,800
Speaker 1: at any rate. Um, So yeah, we've seen this continue on.

644
00:35:46,920 --> 00:35:49,800
Speaker 1: You get some cotton candy in the shape of a cloud,

645
00:35:50,239 --> 00:35:52,359
Speaker 1: I would warn you. I think this is also from

646
00:35:52,440 --> 00:35:56,960
Speaker 1: that same trip where we talk. That's when Josh, Yeah,

647
00:35:57,000 --> 00:35:59,160
Speaker 1: that's that's like a year and a half ago. I'm

648
00:35:59,200 --> 00:36:02,480
Speaker 1: gonna I'm gonna put this on the fire pile. Okay,

649
00:36:02,760 --> 00:36:05,080
Speaker 1: sounds good. Uh. Next, I said that there would be

650
00:36:05,160 --> 00:36:07,920
Speaker 1: a huge job opportunity in two thousand and fourteen for

651
00:36:08,760 --> 00:36:13,000
Speaker 1: big data analysts, not not data analysts who are large,

652
00:36:13,719 --> 00:36:17,920
Speaker 1: but analysts who analyze big data. Big data also a

653
00:36:18,000 --> 00:36:22,279
Speaker 1: big opportunity for people who can produce infographics. And I

654
00:36:22,400 --> 00:36:25,239
Speaker 1: was right on this one, and that trend is also considered.

655
00:36:25,360 --> 00:36:29,080
Speaker 1: It's gonna it's gonna keep on getting bigger and bigger,

656
00:36:31,080 --> 00:36:34,560
Speaker 1: so that well paying jobs, I mean really really well

657
00:36:34,640 --> 00:36:38,360
Speaker 1: paying jobs, because I looked it up, are are opening

658
00:36:38,440 --> 00:36:40,839
Speaker 1: up as an opportunity for people who have this kind

659
00:36:40,920 --> 00:36:44,560
Speaker 1: of talent and skill for analysis and presentation of data

660
00:36:44,560 --> 00:36:47,279
Speaker 1: in a way that's meaningful, so that you know, when

661
00:36:47,320 --> 00:36:49,920
Speaker 1: you've got all this raw information, how do you present

662
00:36:50,000 --> 00:36:53,400
Speaker 1: in a way that actually makes sense. Recruitment firms say

663
00:36:53,440 --> 00:36:56,440
Speaker 1: that data analyst positions have been on the rise throughout

664
00:36:56,560 --> 00:37:00,759
Speaker 1: the year and are expected to continue into So I

665
00:37:01,080 --> 00:37:05,920
Speaker 1: get apparently I get analyzed at some point. Oh it's

666
00:37:05,920 --> 00:37:09,000
Speaker 1: just a little coupon says you will be analyzed in

667
00:37:09,280 --> 00:37:15,200
Speaker 1: terms of data or like psychoanalyzed. Um, I guess I'll

668
00:37:15,200 --> 00:37:19,520
Speaker 1: find out when it happens, all right, Okay, well that's exciting. Um,

669
00:37:19,640 --> 00:37:23,600
Speaker 1: the unknown is really cool. Yeah, it's it's only terrifying

670
00:37:23,680 --> 00:37:25,080
Speaker 1: until you find out about it, and then it can

671
00:37:25,120 --> 00:37:28,360
Speaker 1: be really terrifying, right, okay. My next one was that

672
00:37:28,440 --> 00:37:32,120
Speaker 1: Windows eight won't really make it well, as as we

673
00:37:32,200 --> 00:37:35,160
Speaker 1: have already discussed, since Windows ten came out in two thousand,

674
00:37:38,200 --> 00:37:42,719
Speaker 1: they didn't even go to Windows nine that make it

675
00:37:42,800 --> 00:37:46,560
Speaker 1: from orbit as distance as you can. Never mind, Yeah

676
00:37:47,560 --> 00:37:49,680
Speaker 1: that was I think. I think that was also a

677
00:37:49,719 --> 00:37:52,200
Speaker 1: GIMMI but but what do I get? Well still, I mean,

678
00:37:52,280 --> 00:37:55,239
Speaker 1: it's it's the fact that not just that didn't make it,

679
00:37:55,320 --> 00:37:58,040
Speaker 1: but that Microsoft actually went forward and released a new

680
00:37:58,239 --> 00:38:00,719
Speaker 1: version that quickly after. I mean, this is kind of

681
00:38:00,840 --> 00:38:05,320
Speaker 1: Vista all over again. I think. Yeah, yeah, Well, according

682
00:38:05,360 --> 00:38:08,040
Speaker 1: to this, I take back the Windows eight that I

683
00:38:08,160 --> 00:38:11,480
Speaker 1: gave you. So you got it. But now now your

684
00:38:11,520 --> 00:38:14,920
Speaker 1: gift is the removal of Windows eight. That's that's actually

685
00:38:15,000 --> 00:38:20,239
Speaker 1: a lovely gift, all right, Sorry to the keeps on taking. Um.

686
00:38:21,160 --> 00:38:22,920
Speaker 1: My next one is the US will be forced to

687
00:38:23,000 --> 00:38:25,400
Speaker 1: re examine n s A policies in some way, but

688
00:38:25,520 --> 00:38:28,919
Speaker 1: that it won't effectively change how things actually happen. Yeah,

689
00:38:29,719 --> 00:38:32,640
Speaker 1: I wish, I wish I'd been wrong. I really this

690
00:38:32,800 --> 00:38:34,879
Speaker 1: is the one that I was like, man, please prove

691
00:38:35,000 --> 00:38:39,040
Speaker 1: me wrong. Uh, this is absolutely true. In fact, it's

692
00:38:39,080 --> 00:38:42,360
Speaker 1: so true that in November, there was a bill that

693
00:38:42,640 --> 00:38:46,880
Speaker 1: was going to actually uh target in essay surveillance practices.

694
00:38:47,120 --> 00:38:51,920
Speaker 1: It had passed the House of Representatives, it had President

695
00:38:52,000 --> 00:38:58,480
Speaker 1: Obama's backing, and it failed in the Senate. So absolutely

696
00:38:58,600 --> 00:39:01,719
Speaker 1: right about this. Um. You know, we saw a lot

697
00:39:01,760 --> 00:39:04,440
Speaker 1: of stories about the n s A surveillance and infiltration

698
00:39:04,480 --> 00:39:06,760
Speaker 1: techniques throughout the year. Of course that that was carry

699
00:39:06,840 --> 00:39:08,919
Speaker 1: over from the previous year. It just kept on going.

700
00:39:10,239 --> 00:39:12,959
Speaker 1: And now we even though about their attempts to gain

701
00:39:13,120 --> 00:39:17,280
Speaker 1: a real presence in global communications, insinuating themselves into various

702
00:39:17,440 --> 00:39:21,440
Speaker 1: carriers across the world in the carrier's actual data centers

703
00:39:21,480 --> 00:39:23,799
Speaker 1: so that they can just lift just kind of skim

704
00:39:23,880 --> 00:39:27,440
Speaker 1: information right off the top. Yeah. It's um, it's not

705
00:39:27,840 --> 00:39:32,160
Speaker 1: not an improvement, uh from my perspective. However, I do

706
00:39:32,360 --> 00:39:38,120
Speaker 1: get one free month of surveillance, free surfing. That's cool.

707
00:39:38,760 --> 00:39:40,759
Speaker 1: So for one month the US say, will stop looking

708
00:39:40,800 --> 00:39:44,080
Speaker 1: at me according to this card. The next month while

709
00:39:44,120 --> 00:39:46,200
Speaker 1: they hunt you down and kill you. They might just

710
00:39:46,280 --> 00:39:49,440
Speaker 1: look at me twice as hard. I don't know how

711
00:39:49,760 --> 00:39:54,960
Speaker 1: I meant real dodgy coupons. I might not catch those

712
00:39:55,880 --> 00:40:01,000
Speaker 1: one free massage from Steve Balmer that's still in the box,

713
00:40:01,080 --> 00:40:03,960
Speaker 1: so you never know it could pop up. Be careful

714
00:40:04,000 --> 00:40:07,120
Speaker 1: about any other Microsoft. You've got three in a row

715
00:40:07,239 --> 00:40:10,759
Speaker 1: coming up too. So all right, um I I said

716
00:40:10,800 --> 00:40:13,760
Speaker 1: that personal and corporate encryption industries would get a boost

717
00:40:13,920 --> 00:40:18,279
Speaker 1: due to the n Essays surveillance policies, and we've seen

718
00:40:18,760 --> 00:40:21,360
Speaker 1: we've seen a lot of focus from the media, but

719
00:40:22,239 --> 00:40:25,239
Speaker 1: this is really frustrating. It's one of those things where,

720
00:40:25,960 --> 00:40:28,520
Speaker 1: despite being told over and over again, hey guys, this

721
00:40:28,680 --> 00:40:30,520
Speaker 1: is really important and you need to know about this,

722
00:40:30,800 --> 00:40:34,320
Speaker 1: most base level consumers are not changing their behaviors or

723
00:40:34,360 --> 00:40:37,480
Speaker 1: aware of it, or it maybe burnout and maybe that

724
00:40:37,600 --> 00:40:39,680
Speaker 1: thing where you're just like you get to a point

725
00:40:39,760 --> 00:40:42,120
Speaker 1: where you just say, I can't be angry or sad

726
00:40:42,320 --> 00:40:47,040
Speaker 1: or upset anymore because I'm just too overwhelmed. Yeah, that's it.

727
00:40:47,200 --> 00:40:49,000
Speaker 1: It's such a huge problem to how do I know

728
00:40:49,080 --> 00:40:51,440
Speaker 1: about it? So it was you know, it's certainly from

729
00:40:51,480 --> 00:40:54,239
Speaker 1: a corporate standpoint, this is really taken off quite a bit.

730
00:40:54,360 --> 00:40:57,520
Speaker 1: Oh yeah, yeah, Semantic which is which is I think

731
00:40:57,560 --> 00:41:01,280
Speaker 1: the leading security firm in the US. Yes, UM announced

732
00:41:01,280 --> 00:41:03,080
Speaker 1: that it's going to split into two companies so that

733
00:41:03,160 --> 00:41:06,640
Speaker 1: the security branch and the information management management branch can

734
00:41:06,760 --> 00:41:10,040
Speaker 1: operate independently and uh and grow as much as they

735
00:41:10,080 --> 00:41:12,680
Speaker 1: possibly call powerful than you have ever imagined. This. This

736
00:41:12,800 --> 00:41:14,440
Speaker 1: is the thing where you know, you have a company

737
00:41:14,480 --> 00:41:17,759
Speaker 1: that diversifies, and then you realize, you know, if we

738
00:41:17,800 --> 00:41:20,360
Speaker 1: could really focus on just one of these things, we

739
00:41:20,400 --> 00:41:22,800
Speaker 1: could really blow it out of the water. And Semantech

740
00:41:22,920 --> 00:41:25,320
Speaker 1: is already you know, that's already the leader in that

741
00:41:25,600 --> 00:41:28,680
Speaker 1: in that industry. But now now they're talking about with

742
00:41:28,800 --> 00:41:31,640
Speaker 1: the split, being able to focus even further on it.

743
00:41:32,200 --> 00:41:35,200
Speaker 1: So let's see you get um. It looks like this

744
00:41:35,360 --> 00:41:38,800
Speaker 1: is a lock. It looks like it was originally around

745
00:41:38,880 --> 00:41:41,279
Speaker 1: part of a bridge. I don't know which one, but

746
00:41:41,800 --> 00:41:43,920
Speaker 1: it's got initials on it. That's sweet. Here you go,

747
00:41:44,560 --> 00:41:48,440
Speaker 1: oh thank you. Yeah. I keep getting all the heavy gifts.

748
00:41:48,719 --> 00:41:51,640
Speaker 1: I you know, I have to move this box back

749
00:41:51,719 --> 00:41:55,760
Speaker 1: to my desk when this is over. Okay, I bowled

750
00:41:55,800 --> 00:41:58,319
Speaker 1: a lot the other day and I'm still a little

751
00:41:58,400 --> 00:42:01,400
Speaker 1: sore in tired. Are are stuff Works holiday party was

752
00:42:01,520 --> 00:42:04,200
Speaker 1: at a bowling alley. That's true. By the way, it

753
00:42:04,600 --> 00:42:08,480
Speaker 1: ended up being Josh Clark versus Jonathan Strickland for six games.

754
00:42:09,400 --> 00:42:12,839
Speaker 1: That is a lot of bowlingguage three games apiece. Yeah,

755
00:42:13,000 --> 00:42:15,879
Speaker 1: so stuff you should know and tech stuff are equally good.

756
00:42:15,960 --> 00:42:20,160
Speaker 1: That's what I get out of that. What I get

757
00:42:20,160 --> 00:42:21,320
Speaker 1: out of that is that you guys need to have

758
00:42:21,360 --> 00:42:23,880
Speaker 1: a death match coming up. Yeah, well I will be

759
00:42:23,960 --> 00:42:27,279
Speaker 1: at a bowling alley tomorrow, so all right. UM, my

760
00:42:28,040 --> 00:42:32,279
Speaker 1: next one is that we would see more mobile money management, um,

761
00:42:32,320 --> 00:42:34,239
Speaker 1: like a rise in the use of bitcoin and other

762
00:42:34,320 --> 00:42:38,560
Speaker 1: digital currency arise in square and digital all in one

763
00:42:38,680 --> 00:42:41,719
Speaker 1: cards and etcetera. And this is kind of what we're

764
00:42:41,760 --> 00:42:43,319
Speaker 1: going to be seeing a lot more of in two

765
00:42:43,320 --> 00:42:46,440
Speaker 1: thousand fifteen because those mandates that have come down as

766
00:42:46,480 --> 00:42:48,640
Speaker 1: a result of those hacks. You know, you mentioned the

767
00:42:48,680 --> 00:42:51,560
Speaker 1: Target one. There were other ones to home Depot gut hacked,

768
00:42:52,080 --> 00:42:55,080
Speaker 1: Amart got hacked. I mean, so it's it's definitely one

769
00:42:55,080 --> 00:42:57,000
Speaker 1: of those things that's going to be pushed even harder.

770
00:42:57,520 --> 00:43:01,520
Speaker 1: Um and uh, just less week, Microsoft had announced that

771
00:43:01,600 --> 00:43:03,640
Speaker 1: it was actually going to allow people to use bitcoin

772
00:43:04,040 --> 00:43:07,560
Speaker 1: for Windows and Xbox Store payments, which is kind of incredible.

773
00:43:08,440 --> 00:43:12,360
Speaker 1: That mean, that's a huge vendors now. The way it

774
00:43:12,440 --> 00:43:14,760
Speaker 1: works for them is it's kind of like buying Disney

775
00:43:14,800 --> 00:43:16,760
Speaker 1: dollars in a way. You you can use the bitcoin

776
00:43:16,880 --> 00:43:18,960
Speaker 1: to add money to your Microsoft account, and then you

777
00:43:19,040 --> 00:43:20,880
Speaker 1: can use the money from that account to pay for

778
00:43:20,960 --> 00:43:24,279
Speaker 1: stuff you can't You can't just go directly. You can't

779
00:43:24,320 --> 00:43:26,359
Speaker 1: be like, here's a bitcoin, I want all of those things.

780
00:43:26,960 --> 00:43:30,280
Speaker 1: UM and other options like Apple Pay show that consumers

781
00:43:30,320 --> 00:43:33,160
Speaker 1: are really interested in using digital means to manage money

782
00:43:33,200 --> 00:43:37,040
Speaker 1: and make transactions. So the coin all in one card

783
00:43:37,120 --> 00:43:39,319
Speaker 1: is still on preorder that has not come out yet,

784
00:43:39,360 --> 00:43:40,960
Speaker 1: but it's one of those things that also got a

785
00:43:41,040 --> 00:43:44,279
Speaker 1: lot of interest when it first was Yeah. Yeah, and

786
00:43:44,400 --> 00:43:49,399
Speaker 1: I mean circumstantially. I have not been to a food

787
00:43:49,520 --> 00:43:53,400
Speaker 1: cart or vendor booth in the past year that did

788
00:43:53,480 --> 00:43:56,319
Speaker 1: not have a square Yeah. Yeah that. In fact, there

789
00:43:56,360 --> 00:43:59,280
Speaker 1: are a few stores that I've seen that are essentially

790
00:43:59,360 --> 00:44:01,960
Speaker 1: using iPads and swarms. Oh yeah, yeah, there's actually a

791
00:44:02,040 --> 00:44:03,879
Speaker 1: bunch of them around town. So I'm not sure again

792
00:44:03,920 --> 00:44:09,359
Speaker 1: if that's a local Atlanta thing or yes, But yeah,

793
00:44:09,400 --> 00:44:10,839
Speaker 1: I mean I'm seeing that a lot more too. I'm

794
00:44:10,880 --> 00:44:13,520
Speaker 1: even seeing it in things like restaurants and places. So

795
00:44:13,640 --> 00:44:15,759
Speaker 1: it's kind of interesting to see because it's so much

796
00:44:15,800 --> 00:44:20,879
Speaker 1: lower cost than installing the whole system. So really well done.

797
00:44:21,120 --> 00:44:24,560
Speaker 1: You get a bit of a coin. Oh that's I

798
00:44:24,640 --> 00:44:27,880
Speaker 1: think this is the heads. You don't get the tails.

799
00:44:27,920 --> 00:44:30,680
Speaker 1: I don't know how they split it. Yeah, that's kind

800
00:44:30,719 --> 00:44:34,279
Speaker 1: of interesting. But it's small. Yeah, light weight. Yeah, I

801
00:44:34,400 --> 00:44:39,080
Speaker 1: like lightweight things. I'm lightweight. My next one is that

802
00:44:39,239 --> 00:44:43,200
Speaker 1: the bitcoin bubble would burst and and the price of

803
00:44:43,280 --> 00:44:48,640
Speaker 1: bitcoins would fluctuate wildly, wildly. Yeah, so towards the the

804
00:44:49,000 --> 00:44:53,200
Speaker 1: end of two bitcoin was like near a thousand bucks.

805
00:44:53,320 --> 00:44:56,120
Speaker 1: I mean, it was kind of crazy. And then uh,

806
00:44:56,280 --> 00:45:03,120
Speaker 1: it's it's definitely fluctuated, why oildly. The The current value

807
00:45:03,200 --> 00:45:06,200
Speaker 1: is somewhere around the three hundred dollar range um. When

808
00:45:06,239 --> 00:45:09,080
Speaker 1: I looked at this the other day, the low point

809
00:45:09,239 --> 00:45:12,040
Speaker 1: of that date was three hundred thirty eight dollars and

810
00:45:12,200 --> 00:45:14,360
Speaker 1: nine cents per bit point, and the high point was

811
00:45:14,440 --> 00:45:17,399
Speaker 1: three hundred sixty dollars and seventy five cents. So you're

812
00:45:17,440 --> 00:45:23,000
Speaker 1: talking like nearly thirty dollars. Okay, let's twenty difference in

813
00:45:23,080 --> 00:45:26,040
Speaker 1: the low to the high in one day. That's within

814
00:45:26,120 --> 00:45:29,480
Speaker 1: a couple. Yeah, that wasn't fold. It was like nine

815
00:45:29,520 --> 00:45:31,960
Speaker 1: am in noon when I look at those things. Yeah. Yeah,

816
00:45:32,000 --> 00:45:34,600
Speaker 1: and at the height of it was worth about nine

817
00:45:34,680 --> 00:45:37,480
Speaker 1: hundred and fifty dollars per bitcoin. Yeah, and now it's

818
00:45:37,480 --> 00:45:39,680
Speaker 1: down to around three hundred. I mean. This was also

819
00:45:39,800 --> 00:45:42,320
Speaker 1: the year when we saw the bitcoin exchange Mount Cox,

820
00:45:42,440 --> 00:45:44,440
Speaker 1: the the one that was named after a magic the

821
00:45:44,520 --> 00:45:48,640
Speaker 1: gathering when it when it ended up going bankrupt because

822
00:45:48,640 --> 00:45:51,040
Speaker 1: it was attacked by hackers who stole eight hundred fifty

823
00:45:51,239 --> 00:45:56,000
Speaker 1: thousand bitcoins, seven hundred fifty thousand of those belong to customers,

824
00:45:56,440 --> 00:46:00,880
Speaker 1: hundred thousand belonged to the company. Yeah, and that was terrible.

825
00:46:01,400 --> 00:46:05,120
Speaker 1: Uh so, yeah, you got that exactly right. According to this,

826
00:46:05,400 --> 00:46:10,240
Speaker 1: you get a share in Mount Cox's. That's very useful.

827
00:46:10,360 --> 00:46:13,160
Speaker 1: If I have a time machine, I may have put

828
00:46:13,280 --> 00:46:16,640
Speaker 1: some of these together last year. Maybe if I say

829
00:46:16,719 --> 00:46:20,720
Speaker 1: that thing on the cuneiform out loud, that you'll magically

830
00:46:20,760 --> 00:46:23,600
Speaker 1: be able to Maybe it's a time Maybe it's a

831
00:46:23,640 --> 00:46:26,879
Speaker 1: time machine recipe. Well, we're down to the last couple here.

832
00:46:27,320 --> 00:46:31,080
Speaker 1: So my next one was that Microsoft's new CEO will

833
00:46:31,440 --> 00:46:34,520
Speaker 1: at best be an effective leader, but not an innovator,

834
00:46:35,000 --> 00:46:36,520
Speaker 1: so we didn't know who was going to be the

835
00:46:36,560 --> 00:46:38,719
Speaker 1: new CEO at the end of well, especially when we

836
00:46:38,800 --> 00:46:40,800
Speaker 1: were recording this, because I think we were recording the

837
00:46:41,000 --> 00:46:44,239
Speaker 1: Predictions episode early in December last year, so there was

838
00:46:44,280 --> 00:46:46,399
Speaker 1: like a whole month that we could have gone through

839
00:46:46,520 --> 00:46:48,600
Speaker 1: without that could have messed up our Yeah, I remember

840
00:46:48,640 --> 00:46:50,759
Speaker 1: saying a lot of things like anything could happen in

841
00:46:50,840 --> 00:46:53,800
Speaker 1: the next day twenty days, but you might have already

842
00:46:53,920 --> 00:46:56,680
Speaker 1: heard this happen because this episode will come out much

843
00:46:56,719 --> 00:47:00,759
Speaker 1: longer after we recorded it. Well, Satya Nadela, who ended

844
00:47:00,840 --> 00:47:04,440
Speaker 1: up becoming the next CEO, the current CEO of Microsoft,

845
00:47:05,400 --> 00:47:08,480
Speaker 1: decided to really kind of refocus the company in a

846
00:47:08,600 --> 00:47:12,279
Speaker 1: very dramatic way. UM. At one point he actually ended

847
00:47:12,400 --> 00:47:16,839
Speaker 1: up leading the company through the largest layoff Microsoft has

848
00:47:16,880 --> 00:47:22,600
Speaker 1: ever had, with eighteen thousand jobs cut, largely from Nokia

849
00:47:22,640 --> 00:47:24,840
Speaker 1: because they had purchased Nokia and then they decided that

850
00:47:24,920 --> 00:47:29,200
Speaker 1: it was they needed to refocus UM. They really looked

851
00:47:29,239 --> 00:47:32,719
Speaker 1: at productivity software being like their bread and butter, and

852
00:47:32,960 --> 00:47:36,359
Speaker 1: looking at ways of moving that towards the cloud UM

853
00:47:37,560 --> 00:47:40,560
Speaker 1: and to try and make that more effective. He definitely

854
00:47:41,239 --> 00:47:44,719
Speaker 1: had some missteps in there was a point where he

855
00:47:44,880 --> 00:47:47,520
Speaker 1: was in an interview, he said essentially that the best

856
00:47:47,560 --> 00:47:49,680
Speaker 1: way for women to get raises is not to ask

857
00:47:49,760 --> 00:47:52,839
Speaker 1: for them, that they would just be getting them based

858
00:47:52,880 --> 00:47:56,200
Speaker 1: on merit maybe you know a year or two after

859
00:47:56,360 --> 00:48:00,160
Speaker 1: when they should. Yeah. I think that that's absolutely a

860
00:48:00,239 --> 00:48:02,440
Speaker 1: clever system which has been in place for a very

861
00:48:02,520 --> 00:48:05,359
Speaker 1: long time, and he's led to women making seventy cents

862
00:48:05,400 --> 00:48:07,840
Speaker 1: on the dollar. Yeah. I um when I when I

863
00:48:07,960 --> 00:48:09,880
Speaker 1: read that, I'm like, well, he's definitely not an innovator

864
00:48:09,920 --> 00:48:13,880
Speaker 1: as far as women's right. So he's definitely towing that line. Uh.

865
00:48:14,000 --> 00:48:19,440
Speaker 1: He did some backtracking. He did apologize for his statement. Um, so,

866
00:48:20,320 --> 00:48:22,080
Speaker 1: I mean, you know, you gotta ut say, well, at

867
00:48:22,160 --> 00:48:24,799
Speaker 1: least he took accountability for the thing he said, as

868
00:48:24,840 --> 00:48:27,239
Speaker 1: opposed to just ignoring it. But still, I mean, it

869
00:48:27,320 --> 00:48:29,040
Speaker 1: was a it was a terrible thing to say. Yeah,

870
00:48:29,080 --> 00:48:30,920
Speaker 1: that's that's like a point and a half. That's all.

871
00:48:31,080 --> 00:48:34,960
Speaker 1: I'll share part of your year old sandwich with him. Yeah. Now,

872
00:48:35,000 --> 00:48:38,080
Speaker 1: he did oversee the purchase of Mojang or mo Yang

873
00:48:38,160 --> 00:48:42,319
Speaker 1: if you prefer, the company that made Minecraft, but uh,

874
00:48:42,520 --> 00:48:44,880
Speaker 1: and it was a big purchase. But you also he

875
00:48:45,000 --> 00:48:47,880
Speaker 1: didn't get um notch you know Notch was the creator

876
00:48:47,920 --> 00:48:50,200
Speaker 1: of Minecraft. He had left the company at that point,

877
00:48:50,800 --> 00:48:54,400
Speaker 1: so or he shortly after the announcement he left. So

878
00:48:55,320 --> 00:49:00,160
Speaker 1: you might wonder whether that purchase, like how valuable it

879
00:49:00,360 --> 00:49:03,640
Speaker 1: actually because the company hasn't become known for releasing a

880
00:49:03,719 --> 00:49:08,160
Speaker 1: string of hits, the one that kind of keeps developing

881
00:49:08,280 --> 00:49:11,880
Speaker 1: and continuing. But so I think I was pretty much

882
00:49:12,000 --> 00:49:16,279
Speaker 1: right on this. And I again, it's not that I

883
00:49:16,440 --> 00:49:19,760
Speaker 1: want these companies to to kind of have issues or whatever.

884
00:49:19,920 --> 00:49:21,080
Speaker 1: It's just that was one of the things that I

885
00:49:21,200 --> 00:49:24,440
Speaker 1: kind of foresaw based upon where Microsoft was, and I

886
00:49:24,600 --> 00:49:26,960
Speaker 1: was hoping that maybe I'd be wrong, but I think

887
00:49:27,000 --> 00:49:30,279
Speaker 1: I was right. And it looks like I get a

888
00:49:30,440 --> 00:49:34,399
Speaker 1: copy of Destiny for Xbox One, but I don't own

889
00:49:34,440 --> 00:49:39,759
Speaker 1: an Xbox One. So so you got a Frisbee. Yeah,

890
00:49:40,200 --> 00:49:42,120
Speaker 1: that's what I've got. That's all right. I can I

891
00:49:42,200 --> 00:49:44,200
Speaker 1: can just you know, watch Game of Thrones and listen

892
00:49:44,280 --> 00:49:46,319
Speaker 1: to Peter Dinkledge and imagine that I'm playing the game.

893
00:49:46,480 --> 00:49:49,800
Speaker 1: And no, that doesn't work. He actually emotes in the

894
00:49:49,840 --> 00:49:54,880
Speaker 1: Game of Thrones. See, I can burn other companies besides Nintendo.

895
00:49:55,480 --> 00:49:57,759
Speaker 1: And then my last prediction was that Google would finally

896
00:49:57,800 --> 00:50:00,320
Speaker 1: figure out what it's doing with Monola Mobile spin it

897
00:50:00,400 --> 00:50:05,080
Speaker 1: off question Mark Well. In January, mirror days after this

898
00:50:05,280 --> 00:50:09,040
Speaker 1: episode the original episode went live, Google sold off most

899
00:50:09,080 --> 00:50:13,080
Speaker 1: to Motorola Mobility to Lenovo, a Chinese company, Lenovo for

900
00:50:13,239 --> 00:50:17,479
Speaker 1: two point nine one billion dollars. Yeah, you're right, Yeah,

901
00:50:17,760 --> 00:50:21,480
Speaker 1: I was, I was right. I get a apparently I

902
00:50:21,600 --> 00:50:27,200
Speaker 1: get a mobile made by Motorola from nineteen little tiny

903
00:50:27,280 --> 00:50:30,200
Speaker 1: candy bar phone. If if you ever want to cause

904
00:50:30,280 --> 00:50:33,200
Speaker 1: play from the matrix, that'll be really useful, or or

905
00:50:33,640 --> 00:50:38,320
Speaker 1: later seasons of the xpot Oh. Yeah, I guess I

906
00:50:38,360 --> 00:50:40,439
Speaker 1: could be Skinner. That's probably the only character I could

907
00:50:40,680 --> 00:50:45,800
Speaker 1: possibly Skinner. That would be amazing or assistant director rather sorry,

908
00:50:46,080 --> 00:50:49,560
Speaker 1: sorry Skinner disrespect. Maybe it would be a flashback because

909
00:50:49,560 --> 00:50:51,200
Speaker 1: I'm not as old as he was in the show,

910
00:50:51,320 --> 00:50:53,279
Speaker 1: So I could be when he was an agent, and

911
00:50:53,400 --> 00:50:56,560
Speaker 1: it'll be called Agent Skinner. Oh man, something I would

912
00:50:56,560 --> 00:50:58,239
Speaker 1: watch the Agent Skinner show, you know, I kind of

913
00:50:58,320 --> 00:51:01,560
Speaker 1: would to know think about it. So get on that Fox.

914
00:51:01,719 --> 00:51:04,719
Speaker 1: All right. Well, that wraps up our report card and

915
00:51:05,040 --> 00:51:11,000
Speaker 1: uh as always are highly scientific grading methodology. Yes I am.

916
00:51:11,120 --> 00:51:13,680
Speaker 1: I am covered in the ruins of science right now.

917
00:51:14,040 --> 00:51:16,359
Speaker 1: We're I'll get you a wheelbarrow to take that back

918
00:51:16,360 --> 00:51:19,960
Speaker 1: to your desk and the fire pit. So, uh, Lauren,

919
00:51:20,120 --> 00:51:22,960
Speaker 1: where can people find you now that you are are

920
00:51:23,640 --> 00:51:26,200
Speaker 1: not on tech stuff every week? Well these days, as

921
00:51:26,320 --> 00:51:29,640
Speaker 1: we alluded to earlier, I am on Forward Thinking, the

922
00:51:29,760 --> 00:51:33,000
Speaker 1: podcast twice a week. I did have a cameo in

923
00:51:33,080 --> 00:51:36,120
Speaker 1: one video episode of Forward Thinking. I was a zombie

924
00:51:36,200 --> 00:51:40,200
Speaker 1: that was trying to eat Jonathan's brains. Um. I vaguely

925
00:51:40,239 --> 00:51:42,040
Speaker 1: remember that. I think only part of my brain was

926
00:51:42,200 --> 00:51:44,239
Speaker 1: consumed that day. So you've got a lot of them

927
00:51:44,280 --> 00:51:46,879
Speaker 1: to go around, so it's pretty good. Ah Um. I'm

928
00:51:46,880 --> 00:51:49,680
Speaker 1: also on two of our video shows here at How

929
00:51:49,719 --> 00:51:53,719
Speaker 1: Stuff Works. I'm on What the Stuff along with Jonathan

930
00:51:53,920 --> 00:51:58,480
Speaker 1: and Brain Stuff also along with Jonathan. UM. So if

931
00:51:58,520 --> 00:52:01,080
Speaker 1: you would like to find an of those, let's see

932
00:52:01,080 --> 00:52:04,880
Speaker 1: you can go to fw Thinking dot com, brain Stuff

933
00:52:04,920 --> 00:52:07,960
Speaker 1: show dot com, and to check out What the Stuff,

934
00:52:08,080 --> 00:52:11,759
Speaker 1: you can find the how Stuff Works YouTube channel. Um

935
00:52:12,239 --> 00:52:15,719
Speaker 1: it's called how Stuff Works. Yeah, we went wild and

936
00:52:15,760 --> 00:52:18,000
Speaker 1: crazy with that one. Now, all of the all of

937
00:52:18,040 --> 00:52:20,560
Speaker 1: these series, I mean, obviously I'm biased because I'm in

938
00:52:20,840 --> 00:52:23,480
Speaker 1: all three as well, but all these series are fantastic

939
00:52:23,640 --> 00:52:25,640
Speaker 1: and uh, and there are a lot of fun. So

940
00:52:25,880 --> 00:52:29,719
Speaker 1: if you are into like I described brain stuff as,

941
00:52:29,840 --> 00:52:32,200
Speaker 1: this is the show that answers the questions you didn't

942
00:52:32,200 --> 00:52:35,560
Speaker 1: even know you wanted to ask. That's what we're aiming for. Yeah. Yeah,

943
00:52:36,000 --> 00:52:39,320
Speaker 1: it's mostly basic science kind of stuff, like like weird

944
00:52:39,440 --> 00:52:44,440
Speaker 1: stuff about your your your body, or psychology or animals, animals.

945
00:52:44,680 --> 00:52:48,160
Speaker 1: Occasionally we get into some stuff like like linguistics. I

946
00:52:48,360 --> 00:52:52,560
Speaker 1: just recently did one about the Transatlantic accent. That's the

947
00:52:52,680 --> 00:52:55,359
Speaker 1: that's the old timing accent. You here all the time? Yeah, yeah,

948
00:52:55,520 --> 00:52:57,120
Speaker 1: that was that was That was a great video. That was.

949
00:52:57,880 --> 00:52:59,640
Speaker 1: That was a fun one. So we've got those and

950
00:53:00,080 --> 00:53:01,520
Speaker 1: go check those out. There are a lot of fun.

951
00:53:01,920 --> 00:53:04,640
Speaker 1: Hey guys, one more thing. When this episode goes live,

952
00:53:04,920 --> 00:53:07,520
Speaker 1: I'll actually be in Las Vegas getting ready for the

953
00:53:07,600 --> 00:53:11,440
Speaker 1: biggest consumer electronics show of the year ce S two

954
00:53:11,560 --> 00:53:15,319
Speaker 1: thousand fifteen. If you're also here in Las Vegas, you've

955
00:53:15,320 --> 00:53:17,400
Speaker 1: gotta swing by the Sharp booth in Central Hall to

956
00:53:17,440 --> 00:53:19,600
Speaker 1: say hi to me and to check out Sharp's ultra

957
00:53:19,760 --> 00:53:24,319
Speaker 1: high definition televisions and other awesome innovations in display. You'll

958
00:53:24,440 --> 00:53:26,239
Speaker 1: even have a chance to win one of their two

959
00:53:26,320 --> 00:53:28,600
Speaker 1: thousand fifteen line of products, So how cool is that.

960
00:53:29,200 --> 00:53:31,839
Speaker 1: To learn more about all the exciting things Sharp is doing,

961
00:53:31,960 --> 00:53:35,840
Speaker 1: follow the hashtag Sharp C E S, and remember for

962
00:53:36,000 --> 00:53:39,360
Speaker 1: suggestions for future episodes, just write me. My email address

963
00:53:39,600 --> 00:53:42,759
Speaker 1: is tech Stuff at how stuff parks dot com, drop

964
00:53:42,880 --> 00:53:45,359
Speaker 1: me a line on Facebook, Twitter, or Tumbler. The handle

965
00:53:45,400 --> 00:53:48,439
Speaker 1: it all three is tech stuff hs W, and I'll

966
00:53:48,440 --> 00:53:55,800
Speaker 1: talk to you again, maybe in person, really soon. For

967
00:53:55,960 --> 00:53:58,279
Speaker 1: more on this and thousands of other topics because it

968
00:53:58,360 --> 00:54:04,719
Speaker 1: has to works, dot com chis