WEBVTT

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What's up, Toby? We made it to another Friday.

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Yes, sir. Good to see you. Sweet. You've got

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this week's topic. I kicked it over to you. I

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was giving a listen before we jumped on to last

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week's when I was kind of trash talking AI because

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it doesn't clean the house and do my dishes.

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And I started thinking, what was the name of

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the Jetsons robot who seemed to Do all the menial

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tasks. Right? He didn't tell George how to fly

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the plane or what stupid thing to say at the

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office. He had that taken care of. Yeah. But,

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you know, she was doing things around the house

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that frankly I would be okay letting go of. Like,

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just everything's magically dusted. Everything's

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cleaned up. Dinner is cooked. Dishes are washed.

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So... What occurred to me was I had to look it

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up. Hey, I'm singing the song in my head, you

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know my boy Elroy and I didn't get the rest of

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the symbol Rosie was running. Okay So apparently

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I won Rosie Rosie the robot Yeah, and it occurs

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to me that the direction we're going with AI

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isn't about mundane tasks Because of how we're

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coming at this artificial intelligence, it's

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very much driven on information, not activity.

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And so it makes me wonder, you know, does AI

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carry the natural conclusion where the process

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dead? The reason why processes aren't working

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in a consistent, recurring way? Is it humans

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that are becoming process dead in this new AI

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world? What do you think about variability? That's

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an interesting one. Because that's actually,

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that's really interesting. Because The the systems

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are gonna be able to churn through a lot of data

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Right, right, and I think you know we may or

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may not have talked about this before but like

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that churning of data and the the production

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of data Like where it's just massive right? We're

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like I've got buddies sending me pictures of

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my friends that are obviously fake because we're

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in the football stadium with With a fryer you're

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like that's not real It looks real, it's not

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real. But what's... They don't allow that even

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at Boise State. No, they don't allow that. It's

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against the rules. But what's interesting about

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that is that is we do, unless we take a stand,

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we will be the... We will be on the receiving

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hand of a lot of garbage. Yeah, right like but

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you know, like it it kind of reminds from a data

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standpoint, you know, I I have the the dubious

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honor of going bankruptcy in the past a good

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dude having a bankruptcy in my past and You know,

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they talk about bankruptcy. They're like, well,

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how does it happen? It happened. It happens slowly

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at all at once right and so I feel like that

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could be exactly how this AI thing is gonna hit

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us is It's going to hit just slowly and then

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all at once. And I was talking to someone earlier

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today where my email has gotten so ridiculously

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annoying with all of the inputs from the note

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takers. Everyone's got a note taker in a meeting,

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as they should. That is a good technology to

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use. And I don't want it in my email. And I should

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go, from a process standpoint, I should go and

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create a rule that gets rid of it. But I just

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haven't yet. But to your point, that is really

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interesting, and I do think it's funny that you

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started with the Jetsons, because it's possible

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that some of the people don't even know who the

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Jetsons are, you know, because... The beauty

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about that Chris is that I've just given them,

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like, a weekend's worth of binge. Oh, yeah. I'm

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gonna tell you how many seasons it went off in

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the 60s. Hanna -Barbera, man. Hanna -Barbera

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was the bomb. Okay, so, little diatribe here.

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Did you on Sunday or Saturdays, did you get up

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at six in the morning too, just to watch the

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cartoons? Because that was the newest freshest

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thing that you could watch. And you weren't up

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at the right time. It was a one time deal. You

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missed it. If all your buddies were talking about,

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you know, Thunder Cats or Justice League on Monday

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at school in grade school, then you missed the

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boat, brother. Yeah. Yeah, there's something

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magical and I think if I think about this AI

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conversation and carried over to manufacturing,

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I remember working at a print shop just on an

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ad hoc basis. This was a family friend that had

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this print shop periodically. They'd say, we

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need a whole bunch of folks to just swarm on

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us for Saturday to stuff envelopes. Oh, yeah.

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to cut down sheets or to steeple things. You

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know, some of those tasks, it's a surge, and

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in a small community, you just reach out through

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school groups or kid friends or a search group.

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That's how they tackled scale, not through advanced

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pneumatic systems mechanics, but like putting

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a whole bunch of humans on it. And if we miss

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-stabled it, That was totally tolerable. If we

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folded it but it still got in the envelope, it

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still went out the door as a flyer, so that was

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okay. Contrast that manufacturing process with

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clean rooms at a Micron or an Intel. 90 % of

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the energy expended in there is all automated

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equipment. And some 10 % or less is two or three

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humans getting tinkering. And so in a world where

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humans can actually produce microchips by hand,

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which is not impossible, but if that were theoretically

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true, I can't imagine how many humans it would

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take to do all that soldering and all of that

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laser cutting. But the ratios were wildly flipped.

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And so I do think that... AI in a manufacturing

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context, manufacturing of knowledge work. It's

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quite likely that you may come to that similar

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ratio where 90 % of the real energy expenditure

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is being done by systems and something less than

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10 % is done by humans. Yeah, that's an interesting

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call out because I do think that like AI is not

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cheap electronically. It is not cheap at all

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and to your point, it does write better emails

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than I do. There's that. You can be as smart

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or as witty or as blatant as you want to be,

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and AI will meet that standard. Yeah, let's go

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back to the Jetsons, right? So you have Rosie,

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right? Rosie's doing the dishes and vacuuming.

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If I remember correctly, those were the two things

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that were key. That's what I remember. Why would

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AI not go in that direction? Well, it's tried

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to go in that direction since we were kids, like

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literally since the Jetsons. Right. We wanted

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that. I mean, Jetsons in the early 60s was the

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promise of... flying cars and levitating back

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pal and this kind of a outer space -like magical

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world. And today we have robotics that don't

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necessarily carry a lot of intelligence, but

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the mobility, I'm sure you've seen the same clips

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where these robots are doing parkour, whether

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it's a dog or a humanoid. It's incredible what

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mechanically do, but it hasn't been used with

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any kind of AI capability or choice making. And

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so when we can take that kind of, that, that

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programmatic discovery and exploration and embed

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it into some kind of robotic feature, that's

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a, that's a brave new world. And I don't, maybe

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we get Rosie, maybe we get the iRobot demons.

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Will Smith was baffling, you know? Terminator.

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I don't know where it lands. Yeah. It is interesting,

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right? Because the, when, you know, I always

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look at those and I'm like, oh yeah, that's great.

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And the problem you have is you're dealing with

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doing the dishes for three minutes. And so like,

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what's interesting is even on the robotic side,

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Like they can be very cool and very expensive,

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but they also have to have utility and so unless

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you've got a bunch of Expendable cash then it's

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it's you know It just doesn't work one of them

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one of the my favorite books that I've read over

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probably the last three or four years was on

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like how to How to do a family farm, which I

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don't know why I got this book But I did but

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I actually really enjoyed it because he talked

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about certain things like you should This is

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how you dig, and this is how you do posts. And

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what I appreciated about it is he just was really

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pragmatic. He's like, a lot of people want machinery

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for machinery's sake, and they don't want it

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for utility's sake. And so he was just talking

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about, this is how you drive posts for a fence.

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He's like, most farmers don't need it, but they

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do like having that nice tractor, which in reality,

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you can't really... No one could buy a tractor

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unless you're actually in a farm. Was this the

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Joel Salatin book? Yeah, yeah, it was pretty

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good. I remember mentioning this once before,

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and what I loved about it, I'm about halfway

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through it, and I have it on Audible, and so

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it jockeys against whatever the other contenders

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are. But what I loved about it is the point you

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just made. It's not just buying it for the shiny

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joy of owning a... Freshly painted John Deere

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or whatever your choice is. It's this thing you

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get grows faster than a small army of guys can.

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And that's the utility trade -off that I don't

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see in technology often today. Oh, no. We get

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hung up with logins, whereas a tractor is in

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ignition, hit go, and drop the equipment into

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the soil and start driving. And I think that

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we've lost sight of the utility a lot of times

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because we're enamored with the shiny new whiz

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-bang gizmos, you know? Yeah, we are very much...

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We as human beings very much want the fancy.

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Even when it comes to AI, we want the fancy,

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right? But what does the fancy get us? Do we

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really know yet? We don't. I would say, like...

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What's funny is a couple weeks ago we did a podcast

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on abstraction and we did a podcast on AI. We

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did some of those podcasts. What's interesting

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is my algorithms have switched to more negatively

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facing AI posts. And so what I don't know is

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if that's me just talking and my phone's picking

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it up. Or if it's literally me on LinkedIn, I

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got a post that was viewed a lot. And it's like,

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oh, okay, well, he likes this stuff, so let's

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go feed him this stuff. And so it really makes

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it hard to know what the reality is when LinkedIn's

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objective is to get my eyeballs on the screen.

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That's right. Yeah, I am their utility, right?

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And so it's hard to know what's true when I'm

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their utility and I'm not. They're paying me

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for the service by way of either wanting me to

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go and spend a lot of money on their little LinkedIn,

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whatever thing that they have, or feed me ads.

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And so it is this really interesting thing where

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when it comes to AI, I'm not sure, I think everybody

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has lots of opinions, but like, You know, it

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would be very well, I'm gonna take a small little

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circle here But like it would be very interesting

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to go and talk to some Amish people About AI

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like not not necessarily because like Amish people

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are super smart and they're smooth super utilitarian

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They're like it has to put whatever we do like

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they're not anti technology, which is what most

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people think they're they're they're anti Technology

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that ruins community and so they tend to be really

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they tend to be tech forward but not when it

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comes to cell phones because it ruins their community

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and they know that. And so I would, it would

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be very interesting. That's what we should do.

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We should go find someone from Pennsylvania that's

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Amish and have an AI conversation because I think

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they would ask a lot of questions that were just,

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we don't even ask because we're so enamored with

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how good it is at writing. Yeah. What's funny

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Chris, you love that thought. And because AI

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is all of the rage, we talk less about other

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utility layer innovations that actually are moving

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the ball in significant ways. If I were to pick

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two very simple ones, the first is integration.

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Oh, gosh. To be able to take late in system A

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and just pipe it over to system B, it eliminates

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the waste of time for me to print it. It's crazy.

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So there's a time cost, and there's also an accuracy

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cost. And at best, what I've done is replicate

00:14:44.490 --> 00:14:48.629
the data. If it's 100 rows of 10 data elements

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each, I'm going to miss something. Well, power

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generation or batching, you know, to equally

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perform the same task at scale, enormous. And

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increasingly, as you and I talk a lot about outside

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of podcasts, The automation scripts that we can

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put in work management tools like Monday, which

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is where we spend an enormous amount of our time

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and expertise figuring out how to stretch and

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flex that. That automation capability is spectacular.

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Let me perform the task that matters, then let

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the systems do all the follow on work that that

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system activates. So, no, it's crazy. And what's

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funny about it is people just think that that

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stuff magically shows up. And it just does it.

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Like, I have conversations daily with people

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where you're like, we're going to push the technology

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as much as we can, but you're going to have to,

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there's trade -offs and you have to make decisions.

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And people don't want to hear that when it comes

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to like systems and tools because they just want

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it to do the thing. And you're like sure we can

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make it do the thing, but it's gonna make may

00:16:08.500 --> 00:16:11.559
cost you a lot of money Because of the way that

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because you want you want 99 percent when 75

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percent would probably do This goes back to your

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comment earlier about i'm gonna reframe it, but

00:16:21.700 --> 00:16:24.340
it's How much is rosie the robot worth if all

00:16:24.340 --> 00:16:27.059
she does is three minutes of dishes a day. Yeah

00:16:27.059 --> 00:16:29.419
You know, and I think that's the heart of the

00:16:29.419 --> 00:16:31.759
question. We can talk about electric technology

00:16:31.759 --> 00:16:34.159
I really hope my wife doesn't listen to this

00:16:34.159 --> 00:16:36.879
one You're like you said that different dishes

00:16:36.879 --> 00:16:40.539
vacuuming you take six. You're like, yeah, I

00:16:40.539 --> 00:16:45.740
know but I don't want to Everybody keep it on

00:16:45.740 --> 00:16:49.059
the deal This is actually an extra dishwasher

00:16:49.059 --> 00:16:52.279
and it didn't burn three minutes iron for your

00:16:52.279 --> 00:16:56.100
holiday season No, no, but it's true. Let's say

00:16:56.100 --> 00:16:58.940
it's five minutes of dish washing. How much would

00:16:58.940 --> 00:17:04.420
you pay for that? if in fact you could automate

00:17:04.420 --> 00:17:07.660
that or completely eliminate that task. And I

00:17:07.660 --> 00:17:10.880
think that there's so many little things that

00:17:10.880 --> 00:17:14.039
the task completion aside, frankly, doing dishes,

00:17:14.420 --> 00:17:16.819
there's a little bit of a joy, kind of like mowing

00:17:16.819 --> 00:17:19.059
a little bit of yard. I don't want to mow hours

00:17:19.059 --> 00:17:22.000
of yard. I just want to mow a little patch of

00:17:22.000 --> 00:17:24.339
yard and be able to say, that turned out beautiful.

00:17:24.740 --> 00:17:28.440
And I can see a little bit. Yeah. And so there's

00:17:28.440 --> 00:17:32.450
interesting things. I think that... in a professional

00:17:32.450 --> 00:17:35.329
world, sometimes, and for me, my status report

00:17:35.329 --> 00:17:39.170
is a common thing. I derive some joy in it because

00:17:39.170 --> 00:17:42.130
I get to say, what did I do last time? What's

00:17:42.130 --> 00:17:44.950
important enough to share with my state? But

00:17:44.950 --> 00:17:47.529
then I can also, and this is a preparatory task,

00:17:47.690 --> 00:17:50.789
it's twofold, and also then saying what's on

00:17:50.789 --> 00:17:53.470
deck? What will I be doing and engaging in next

00:17:53.470 --> 00:17:57.349
week? As an exercise, all the recordings in the

00:17:57.349 --> 00:18:01.430
AI can probably produce that status report. If

00:18:01.430 --> 00:18:05.329
I record all my calls and push most of my tasks

00:18:05.329 --> 00:18:07.869
from the platform, it's all there. But what the

00:18:07.869 --> 00:18:10.170
preparation of that status report does for me

00:18:10.170 --> 00:18:13.069
that technology doesn't, is help me organize

00:18:13.069 --> 00:18:17.630
my thinking and prioritize my message. So, yeah,

00:18:17.630 --> 00:18:20.029
I've been thinking a lot about how as a knowledge

00:18:20.029 --> 00:18:23.789
worker, can you be a craftsman? Yeah. Ooh, I

00:18:23.789 --> 00:18:28.569
like that. How can you carve out time and just...

00:18:28.650 --> 00:18:32.269
do work that you're proud of, work that's not,

00:18:32.710 --> 00:18:34.609
you know, maybe it's rushed at times, or for

00:18:34.609 --> 00:18:36.890
the most part, it's at the pace that it should

00:18:36.890 --> 00:18:41.150
be. Like, I feel like, I feel like because we're,

00:18:41.150 --> 00:18:45.289
you know, we're far away from, we're far away

00:18:45.289 --> 00:18:48.970
from pushing our bodies to the limit on the daily,

00:18:49.430 --> 00:18:54.210
because we're doing manual work, we are, we do,

00:18:54.849 --> 00:19:02.450
we do replace that with just... rapid like rapid

00:19:02.450 --> 00:19:05.150
movement that doesn't go anywhere instead of

00:19:05.150 --> 00:19:09.069
like slowing down thinking waiting like thinking

00:19:09.069 --> 00:19:13.410
waiting working getting enough time to do the

00:19:13.410 --> 00:19:18.589
thing not taking on more than we can which I

00:19:18.589 --> 00:19:23.150
think you know if you want to live a life that's

00:19:23.150 --> 00:19:26.920
without process debt or limited process debt,

00:19:27.200 --> 00:19:29.579
that's really the way to do it is just work like

00:19:29.579 --> 00:19:33.720
a craftsman. Yeah. Chris, that's super interesting

00:19:33.720 --> 00:19:39.240
because I really started thinking about things

00:19:39.240 --> 00:19:42.460
that people choose for their utility or their

00:19:42.460 --> 00:19:47.240
beauty. Right, yeah. Whether it's some form of

00:19:47.240 --> 00:19:50.579
art or something that's very utilitarian like

00:19:50.579 --> 00:19:55.109
a beautifully turned table leg or you know, chair,

00:19:55.410 --> 00:19:58.450
there's a word for these things. But what's super

00:19:58.450 --> 00:20:02.809
interesting is that often it's not about who

00:20:02.809 --> 00:20:07.289
used the 800 -grit paper to finish it. It's about

00:20:07.289 --> 00:20:10.569
where did that happen in the process? And then

00:20:10.569 --> 00:20:14.509
how do you know when enough is enough? There's

00:20:14.509 --> 00:20:18.990
exercising judgment and a great fun. Well, I

00:20:18.990 --> 00:20:20.990
think in knowledge work, it's really hard because

00:20:20.990 --> 00:20:25.599
oftentimes our product is never finished. Yeah.

00:20:25.740 --> 00:20:28.940
And you can overfinish it and get laid, just

00:20:28.940 --> 00:20:32.700
get blasted because you misspelled something

00:20:32.700 --> 00:20:36.700
or you've got the wrong slide format and you're

00:20:36.700 --> 00:20:40.460
like, oh my gosh, I'm just trying to transfer

00:20:40.460 --> 00:20:42.839
information here. And we're getting stuck in

00:20:42.839 --> 00:20:45.160
the fact that it's a light blue and not a dark

00:20:45.160 --> 00:20:49.920
blue. You're like, come on, people. Full transparency,

00:20:50.200 --> 00:20:52.720
I have done the, let's go and find a really good

00:20:52.720 --> 00:20:54.539
PowerPoint slide that's really pretty, because

00:20:54.539 --> 00:20:57.019
we confuse people more. I have done that one

00:20:57.019 --> 00:21:02.019
at least once in my career. You don't have to

00:21:02.019 --> 00:21:04.220
name names until statute of limitations is right.

00:21:04.220 --> 00:21:08.079
There you go. There you go. But that's a fair

00:21:08.079 --> 00:21:10.660
point. I love the challenge, and maybe that's

00:21:10.660 --> 00:21:13.920
where we leave this episode, but it is, are we

00:21:13.920 --> 00:21:17.089
behaving as the craftspeople we are? in our college

00:21:17.089 --> 00:21:20.769
work day do they work yep yeah and you know great

00:21:20.769 --> 00:21:24.210
one carve time out enjoy your life you had a

00:21:24.210 --> 00:21:26.470
lot of you had a lot of work to do you might

00:21:26.470 --> 00:21:29.650
as well enjoy it along the way 100 % all right

00:21:29.650 --> 00:21:31.609
thanks sir all right buddy
