WEBVTT - UL NO. 429: Build Your Career Around Problems

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<v S1>Welcome to Unsupervised Learning, a security, AI and meaning focused

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<v S1>podcast that looks at how best to thrive as humans

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<v S1>in a post AI world. It combines original ideas, analysis,

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<v S1>and mental models to bring not just the news, but

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<v S1>why it matters and how to respond. All right. Welcome

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<v S1>to supervised learning. This is Daniel Missler. All right. In

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<v S1>this one. What have we got here. This is episode 429.

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<v S1>So llama three came out last week and it was

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<v S1>super impressive. I'm getting more and more use out of it, actually.

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<v S1>I'm finding it's doing a lot of stuff as well

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<v S1>as GPT four, and sometimes it just completely fails. And

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<v S1>it's worse than like GPT three. So I think that's

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<v S1>the case with all these different models. Like, you never know,

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<v S1>like how good it's going to be at certain things

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<v S1>and how bad it's going to be at other things.

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<v S1>And what I really hope we get before too long

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<v S1>is like this really robust testing framework. So we know

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<v S1>what things are good at and what they're not good at.

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<v S1>And we could just have this continuous testing because a

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<v S1>lot of the benchmarks that are used to test, you know,

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<v S1>to show the quality of models, I feel like people

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<v S1>are actually building their models to score good on them,

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<v S1>and they're pretty useless. There's also this cool bolt AI application,

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<v S1>which this link is actually bad, I think. I think

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<v S1>this is the wrong thing, but if we do bolt AI,

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<v S1>this should actually pull us up into it. Yeah, this

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<v S1>is the one. So this is a pretty cool interface

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<v S1>for actually dealing with working with LMS. It looks almost

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<v S1>like ChatGPT, but it's a standalone app and you could

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<v S1>use all your different models, right? So you got like

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<v S1>you could use GPT four, you could use local models,

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<v S1>you could put in your own model. This is just

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<v S1>really good. And see here you got different commands AI

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<v S1>and line. Yeah, it's just really powerful. I like this

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<v S1>little lap here. So that's one one nice app to

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<v S1>take a look at. Again it's called bolt AI. That

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<v S1>link I have here, like I said it's not the

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<v S1>correct link but whatever. Let's see here. Yeah llama three

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<v S1>really impressive. At the seven B level there's also an

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<v S1>eight B version which I don't really mess with. I

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<v S1>only messed with the 70 B version. By the way,

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<v S1>the 70 B version actually all the different versions of

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<v S1>llama three are also in fabric, so you can use

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<v S1>fabric with local models of course, and that includes llama three.

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<v S1>And one thing I've noticed is that it's way less restricted.

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<v S1>It actually will tell you a lot of stuff that

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<v S1>llama two would not, and a lot of the other

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<v S1>pinnacle models will not talk to you about at all.

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<v S1>It's not quite uncensored, but it is a lot more

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<v S1>similar to an uncensored, I would say 50% there or something.

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<v S1>And of course, there's already dolphin versions of llama three

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<v S1>that are uncensored. So, um, not just dolphin, but other versions.

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<v S1>So definitely take a look at that if you need that.

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<v S1>And one thing that's really interesting to me is like

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<v S1>how good llama three is getting or local models in general,

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<v S1>because Apple is now releasing open source models. Snowflake just

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<v S1>released an open source model. And here's one thing I

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<v S1>really think is interesting about this. If you think about

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<v S1>the daily tasks that humans go through every day with like, oh,

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<v S1>find me a car, get me a grocery list, give

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<v S1>me a really good workout, play the best song for

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<v S1>right now. You know, get a present for my partner

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<v S1>because it's our anniversary or whatever. All these tasks that

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<v S1>are like everyday things they have, this is a hypothesis,

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<v S1>but they have a limit to how good they need

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<v S1>to be. Right? So if you exceed that limit of like,

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<v S1>they just get the most amazing flowers every single time

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<v S1>they pick the best song or music every single time

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<v S1>and it's really good. Then if that was GPT five

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<v S1>that made it that good, then GPT seven isn't really needed.

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<v S1>And if local models exceed what GPT five could do,

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<v S1>which of course I think they will within a year

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<v S1>or two or whatever, however long that takes. The point

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<v S1>is the models keep getting better, including the local models,

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<v S1>and that a task that a human wants to have

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<v S1>done kind of hits a level of diminishing return. And

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<v S1>I think for a lot of human tasks, we're about

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<v S1>to hit that level with our pinnacle models. And then

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<v S1>you have your local models that are like lagging behind it.

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<v S1>Once that exceeds it, you have local models everywhere that

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<v S1>could do most tasks. So for example, home automation, home management,

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<v S1>automation of tasks around the home. Like I said, groceries,

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<v S1>everyday things, those things can all be done almost instantly,

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<v S1>basically instantly and locally on the device because the local

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<v S1>chipset will be good enough, or there'll be like a

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<v S1>local chipset in the house somewhere that you outsource to

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<v S1>or whatever, but you don't need pinnacle models for those. Now,

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<v S1>it could be that some of those tasks would actually

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<v S1>benefit from a much bigger model, but I think so

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<v S1>many of them actually won't. You won't need them. And

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<v S1>that's really exciting because when local models can. You most

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<v S1>of what we need. That's an insane world. And my

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<v S1>buddy Joseph Thacker keeps talking about this thing. It's like,

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<v S1>why not just have it in everything? And he keeps

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<v S1>talking about this cool idea, which I want to touch

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<v S1>on too, which is this concept of an oracle, which

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<v S1>I've always wondered about too. It's like if you went

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<v S1>back in time, how useful would you actually be? Could

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<v S1>you actually describe, you know, chemistry or, you know, satellites

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<v S1>or combustion engines or any of this stuff? It'd be

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<v S1>amazing to have like a little soccer ball that talks

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<v S1>to you. And inside of the soccer ball is this model,

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<v S1>and you could somehow get power into it or whatever.

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<v S1>But this one little thing, this tiny little device has

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<v S1>something like Lama three on it, which is a large

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<v S1>percentage of all human knowledge ever. And it's local, doesn't

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<v S1>need to call out to any cloud. And you can

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<v S1>put that in a soccer ball or a park bench

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<v S1>or anything like that. It's insane to me that you

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<v S1>could basically bootstrap humanity to some degree with something that's

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<v S1>completely local on a chip. All right, more stuff going

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<v S1>on prepping for RSA. Definitely come by and say hi.

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<v S1>I might be crazy busy or distracted or socially awkward

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<v S1>at the time. Whatever. Just come say hi. What have

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<v S1>we got here? We got hugs, waves, finger guns, always appropriate.

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<v S1>Fist bumps, whatever. Whatever you got I should be comfortable with.

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<v S1>Last few talks have gone really well. There's something to

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<v S1>be said for speaking, to share an idea rather than

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<v S1>trying to, like, do a presentation. I've crossed over for

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<v S1>most of my talks. At least I'm trying to cross

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<v S1>over completely to this thing where I'm just I have

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<v S1>this idea that I want to share, and the goal

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<v S1>of the talk has nothing to do with the talk

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<v S1>or the slides. It has to do with how many

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<v S1>people actually get converted over to this way of thinking

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<v S1>at the end. And when you are trying to do that,

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<v S1>it makes the slides not matter. It makes like if

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<v S1>whether you stumble, your words not matter. Nervousness kind of

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<v S1>goes away. And I've got a couple of talks already

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<v S1>or essays about how to make that happen. Anyway, there's

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<v S1>a breathing technique for like the tactical version, and then

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<v S1>there's like this concept for getting rid of the overall

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<v S1>problem of stage fright. If you simply have something to

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<v S1>share and you are sharing it, that is not a

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<v S1>stage fright issue. It's very strange. It's like, what are

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<v S1>you actually looking at? If you go up on stage

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<v S1>and you are thinking about your talk in terms of

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<v S1>like the slides, the slide notes, where are the cameras,

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<v S1>where's the monitor, where are the people, who are they

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<v S1>looking at? If you pull into yourself like that, you're

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<v S1>going to get stressed. You're going to get nervous. The

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<v S1>way to fix that is to go outside of yourself.

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<v S1>What's bigger than yourself? What? What is outside of yourself?

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<v S1>The idea is the thing that matters. You focus on

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<v S1>that and suddenly you're very calm because what you want

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<v S1>to do is you want to convert your excitement away

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<v S1>from anxiousness and into excitement around sharing the idea. And

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<v S1>you could view this as a hack, or you could

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<v S1>view it as just a better way of thinking about presenting. Period.

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<v S1>And I think it is both, but I frame it

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<v S1>as the second one. Updated the intro to the newsletter

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<v S1>focusing on human to 2.0 transitioning to 3.0. Let me

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<v S1>know what you think of that. I put discovery actually

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<v S1>into each section instead of having a dedicated discovery this time.

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<v S1>And if you have time, you've got to go listen

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<v S1>to this conversation between Tyler Cohen and Peter Thiel. I'm

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<v S1>not a Peter Thiel fan in general. I didn't like

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<v S1>a lot of his political views. While back they had

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<v S1>this wide ranging conversation from like Star Wars to the

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<v S1>Antichrist to the Bible to Shakespeare to economics, political theory,

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<v S1>just theology. It was an insane conversation. What I like

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<v S1>most about it, because I've shown a few people and

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<v S1>they were like, yeah, I don't know why you liked

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<v S1>it so much. And a few people said, look, they

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<v S1>just talked about a whole bunch of stuff that I

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<v S1>didn't understand. Here's my trick for you, and this is

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<v S1>why I was so excited about this talk. I don't

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<v S1>often find anyone lately because I read so much who

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<v S1>says a string of words and actually just a string

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<v S1>of answers to questions. And in those answers I'm like,

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<v S1>what does that mean? Like Strachan, for example, Strachan was

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<v S1>Stross was one of the people that he was talking

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<v S1>about in this thing. And I'm like, I don't know

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<v S1>Stross yet, I don't what does that mean? So I

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<v S1>ended up having to go in Google and look up

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<v S1>all these different things. Google more like talk to my

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<v S1>Da and have her explain the stuff to me. And

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<v S1>then I also put a set of books into audible

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<v S1>as well. So now I'm going to go read these

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<v S1>canonical books that came from these thinkers. So I don't

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<v S1>accept when somebody talks over my head because I essentially say, well,

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<v S1>you can only do that once because. Now I'm going

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<v S1>to research all that stuff. And first of all, figure

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<v S1>out what you were actually saying just so it doesn't

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<v S1>appear smart when it's actually not smart. But what I

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<v S1>came away with after deciphering all the stuff and learning

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<v S1>like a quick primer on this stuff, is I came

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<v S1>away realizing that Peter Thiel knows a lot of stuff

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<v S1>and what I'm really attracted to. And I don't know

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<v S1>if this is something where he changed or where I changed,

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<v S1>or maybe both or something, but he doesn't seem bound

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<v S1>to any sort of side. He seems bound to principles

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<v S1>of like what he wants to see happen. And I

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<v S1>think that is really powerful. And I talked about that.

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<v S1>I think in a previous show. I can't remember where

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<v S1>I talked about that recently, but I think it's really oh,

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<v S1>it's actually in this newsletter actually. So I would say

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<v S1>definitely check this out no matter what. Check it out.

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<v S1>You might not like it, but listen to what I

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<v S1>was saying before and see if that helps you like

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<v S1>it more. All right, so I wrote a new essay

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<v S1>on the old paradigm of planning a career no longer working,

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<v S1>and basically saying you should plan your career around problems instead.

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<v S1>And I actually have released a standalone video on this

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<v S1>as well, which is also going to come out as

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<v S1>a podcast, so you can check that out on YouTube.

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<v S1>It should already be live. All right. Security, the House

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<v S1>just passed a bill making it illegal for the government

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<v S1>to buy your data without a warrant. Calling it the

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<v S1>Fourth amendment is not for sale. This is really cool.

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<v S1>That's bipartisan. It seems like it would. It would have

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<v S1>had to have been. Not sure about that, but I'm

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<v S1>pretty sure that's right. Sandworm. Notorious Russian hacking group linked

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<v S1>to cyber attack on a water facility in Texas. The

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<v S1>ban on TikTok looks like it's actually going forward. That

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<v S1>is pretty cool. Biden signed it. So that's bipartisan as well.

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<v S1>A little bit of light in the darkness there might

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<v S1>have got compromised among a bunch of other companies by

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<v S1>another China based attacker, and a flaw and putty lets

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<v S1>people look at a whole bunch of different keys or

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<v S1>cryptographic signatures. Basically figure out your private keys, which is

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<v S1>no bueno. FBI Director Christopher Wray says that China is

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<v S1>basically shifting to figuring out how to attack US critical infrastructure,

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<v S1>possibly to go in concert with a move in 2027.

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<v S1>So it would be like, you know, do these cyber

0:12:46.800 --> 0:12:49.830
<v S1>or infrastructure things at the same time to kind of

0:12:49.830 --> 0:12:55.260
<v S1>keep the enemy off balance? Marlinspike moxie basically says he's

0:12:55.260 --> 0:12:58.230
<v S1>no longer affiliated with signal. I've not been a huge

0:12:58.230 --> 0:12:59.939
<v S1>fan of signal. I don't like the fact that you

0:12:59.940 --> 0:13:03.180
<v S1>need to restart it every 45 minutes. I don't like

0:13:03.179 --> 0:13:06.689
<v S1>being outside of Apple Messages. I prefer to have as

0:13:06.690 --> 0:13:10.530
<v S1>few messaging apps as possible because I'm on Apple. That

0:13:10.530 --> 0:13:13.439
<v S1>tends to be my favorite. Not a fan of WhatsApp,

0:13:13.440 --> 0:13:15.900
<v S1>not a fan of telegram, so I tend to just

0:13:15.900 --> 0:13:19.350
<v S1>prefer messages. I was okay with signal a little bit

0:13:19.350 --> 0:13:23.160
<v S1>because it was moxie, but now moxie is out. I'm

0:13:23.160 --> 0:13:25.350
<v S1>going to try to get people to talk to me

0:13:25.350 --> 0:13:30.840
<v S1>on messages again. Sacramento International Airport had to stop flights

0:13:30.840 --> 0:13:36.480
<v S1>because somebody deliberately cut the AT&amp;T internet cable that provided

0:13:36.480 --> 0:13:40.890
<v S1>internet to the airport. Tale scale now has SSH. DeepMind's

0:13:40.890 --> 0:13:44.460
<v S1>boss says Google is going to outspend everyone in AI.

0:13:44.490 --> 0:13:47.910
<v S1>You know, it's not about outspending guys. You've been able

0:13:47.910 --> 0:13:51.060
<v S1>to outspend and have been outspending people for a long time.

0:13:51.480 --> 0:13:55.860
<v S1>It's you've lost the ability to ship good products because

0:13:55.860 --> 0:13:58.590
<v S1>you don't have vision as your primary guide. You have

0:13:58.590 --> 0:14:02.100
<v S1>basically engineers making stuff and throw them at the walls.

0:14:02.100 --> 0:14:05.850
<v S1>And then like three years later, if it launches, you

0:14:05.850 --> 0:14:10.170
<v S1>put it in the graveyard. It's just complete joke. I

0:14:10.170 --> 0:14:13.590
<v S1>think you need new leadership, honestly, is what you need.

0:14:13.710 --> 0:14:17.819
<v S1>And Stanford released a quality report on AI models and

0:14:17.820 --> 0:14:21.479
<v S1>we did a micro summary from fabric. So basically I

0:14:21.480 --> 0:14:26.130
<v S1>surpasses humans in specific tasks, not in complex reasoning. I

0:14:26.130 --> 0:14:30.720
<v S1>think that'll probably change soon. US is ahead of model development.

0:14:30.720 --> 0:14:34.170
<v S1>And yeah, pretty good breakdown here. Interesting argument about how

0:14:34.170 --> 0:14:39.030
<v S1>search engines, especially Google, can actually move elections. Google fired

0:14:39.030 --> 0:14:42.660
<v S1>28 employees for protesting and they actually fired some more

0:14:42.660 --> 0:14:46.680
<v S1>people as well recently. More recently, Google has merged its

0:14:46.680 --> 0:14:51.210
<v S1>Android and hardware teams. Netflix is using FreeBSD current for

0:14:51.210 --> 0:14:53.790
<v S1>its edge network. That is surprising to me. I would

0:14:53.790 --> 0:14:57.990
<v S1>have thought those packages would be old, not well maintained,

0:14:58.380 --> 0:15:03.570
<v S1>and definitely behind. Yeah, so that's surprising in a good way.

0:15:03.720 --> 0:15:06.300
<v S1>Reddit showing up a lot more in Google results. They

0:15:06.300 --> 0:15:09.180
<v S1>actually have some sort of contract together. I think they

0:15:09.270 --> 0:15:13.560
<v S1>sent Reddit like $30 million or something. So something around there.

0:15:13.680 --> 0:15:16.260
<v S1>Apple's Airplay is starting to come to hotel rooms. Hopefully

0:15:16.260 --> 0:15:21.340
<v S1>Marriott's soon tiny S.A. is a budget. Friendly spectrum analyzer

0:15:21.790 --> 0:15:25.690
<v S1>programming is mostly thinking this it is. This was a

0:15:25.690 --> 0:15:30.310
<v S1>good essay, I enjoyed it. Broad introduction to AWS log

0:15:30.310 --> 0:15:35.650
<v S1>sources and events and Gen Z is outperforming previous generations

0:15:35.650 --> 0:15:40.120
<v S1>at their age. This was also surprising to me. This

0:15:40.120 --> 0:15:44.380
<v S1>article says that societal decline mirrors the death spiral seen

0:15:44.380 --> 0:15:49.220
<v S1>in ants. Why everything is becoming a game. This blog

0:15:49.220 --> 0:15:54.320
<v S1>by the way. Really cool. I love this blog. Gurinder. Yeah,

0:15:54.320 --> 0:15:58.220
<v S1>this guy is awesome. Definitely want to subscribe. Their study

0:15:58.220 --> 0:16:00.680
<v S1>found that jobs that require you to think a lot

0:16:00.680 --> 0:16:04.640
<v S1>or protective against Alzheimer's. I think that needs an H.

0:16:04.790 --> 0:16:08.360
<v S1>Bayer is doing an experiment where they remove most of

0:16:08.360 --> 0:16:14.060
<v S1>middle management and let basically like 100,000 employees mostly self-organize.

0:16:14.210 --> 0:16:18.110
<v S1>And they're hoping to save. I think that was 12 billion,

0:16:18.110 --> 0:16:22.490
<v S1>not 2 billion. That might be a typo. Unfortunate. I

0:16:22.490 --> 0:16:26.750
<v S1>think it was $12 billion. I think this is really cool.

0:16:26.750 --> 0:16:29.960
<v S1>I love the idea of 100,000 people with all these

0:16:29.960 --> 0:16:33.920
<v S1>layers of middle management, where it's just a giant waste machine.

0:16:34.040 --> 0:16:37.730
<v S1>And who better to figure that out then? AI who

0:16:37.730 --> 0:16:41.510
<v S1>figures out, okay, who's doing what, what functions actually need

0:16:41.510 --> 0:16:45.950
<v S1>to get done? What who whose teams are structured in

0:16:45.950 --> 0:16:48.890
<v S1>what way? How do they communicate with each other? What

0:16:48.890 --> 0:16:51.860
<v S1>are the work products that are actually being produced? What

0:16:51.860 --> 0:16:55.670
<v S1>are those pipelines look like for work being produced? You

0:16:55.670 --> 0:16:58.730
<v S1>overlay that on the org structure, and you look at

0:16:58.730 --> 0:17:00.980
<v S1>the budget and everything, and you look at the outcomes

0:17:00.980 --> 0:17:04.130
<v S1>and actually how fast things move. And AI is going

0:17:04.130 --> 0:17:06.740
<v S1>to look at it and just be like a horrible mess.

0:17:07.130 --> 0:17:09.740
<v S1>Why do you have all these managers? What are they

0:17:09.740 --> 0:17:13.340
<v S1>actually doing now? Humans have already known that we didn't

0:17:13.340 --> 0:17:16.040
<v S1>need all those layers of middle management like this. It's

0:17:16.040 --> 0:17:20.030
<v S1>so common. It's just a meme. It's common knowledge. But

0:17:20.030 --> 0:17:21.530
<v S1>AI is going to be able to look at it

0:17:21.530 --> 0:17:24.230
<v S1>for any given company and just be like, here's why

0:17:24.230 --> 0:17:28.220
<v S1>this is a giant waste. You know, Chris isn't doing

0:17:28.220 --> 0:17:31.430
<v S1>anything right. And he hands it to John, who's not

0:17:31.430 --> 0:17:34.070
<v S1>doing anything either. And what is Mary doing? Like this

0:17:34.070 --> 0:17:38.840
<v S1>makes no sense whatsoever. And it's going to recommend look,

0:17:38.869 --> 0:17:41.179
<v S1>you need your experts and you're going to need you

0:17:41.180 --> 0:17:44.840
<v S1>need your high level thinkers and you need very little

0:17:44.840 --> 0:17:48.169
<v S1>middle management, which really is probably going to be AI

0:17:48.170 --> 0:17:52.400
<v S1>agents very soon. And of course, at some point you

0:17:52.400 --> 0:17:56.060
<v S1>can even use AI for the top and bottom pieces

0:17:56.060 --> 0:17:59.060
<v S1>as well. But first they're going to come for those

0:17:59.060 --> 0:18:01.400
<v S1>middle managers. And I think it's a good thing the

0:18:01.400 --> 0:18:06.139
<v S1>term brainwashing morphed into a blanket term for unconventional behavior.

0:18:06.140 --> 0:18:09.830
<v S1>And this came from MKUltra seeing a lot of stuff

0:18:09.830 --> 0:18:13.609
<v S1>talking about MKUltra. I wonder what the reason for that is. Okay,

0:18:13.609 --> 0:18:18.530
<v S1>ideas and analysis. All right. I like I said, I

0:18:18.530 --> 0:18:21.260
<v S1>talked about Peter Thiel. I'm not going to read this

0:18:21.260 --> 0:18:23.240
<v S1>whole thing. This is a bit of an essay here.

0:18:23.240 --> 0:18:27.050
<v S1>I think I might turn this into a standalone essay. Okay.

0:18:27.050 --> 0:18:32.060
<v S1>Let's see here. Okay. Recommendation of the week. Establish your

0:18:32.060 --> 0:18:35.210
<v S1>ground truth in terms of morality and the society that

0:18:35.210 --> 0:18:37.100
<v S1>you want to live in. And this is going to

0:18:37.100 --> 0:18:40.879
<v S1>the essay above. Okay. Establish your ground truth in terms

0:18:40.880 --> 0:18:43.550
<v S1>of morality and the society that you want to live in.

0:18:43.550 --> 0:18:47.150
<v S1>Lock that in perfectly. You say, look, this is how

0:18:47.150 --> 0:18:52.280
<v S1>I think the world should work and that is your morality, okay?

0:18:52.280 --> 0:18:55.790
<v S1>And it's got no labels on it. Left, right, progressive, conservative.

0:18:55.790 --> 0:18:58.670
<v S1>Nobody cares. You don't put anything on that. You just say,

0:18:58.670 --> 0:19:02.240
<v S1>here's how I think the world should work. Then you say, okay,

0:19:02.240 --> 0:19:05.240
<v S1>I'm going to listen to any ideas, right? I'm curious

0:19:05.240 --> 0:19:09.500
<v S1>how those ideas or those structures or those religions or whatever.

0:19:09.920 --> 0:19:12.649
<v S1>How would those affect this world that I want to

0:19:12.650 --> 0:19:16.940
<v S1>see come to pass? And then you don't discard ideas

0:19:16.940 --> 0:19:19.969
<v S1>just because you disagree with something else that they say

0:19:19.970 --> 0:19:23.570
<v S1>somewhere else. So if people have like this idea, a

0:19:23.570 --> 0:19:27.800
<v S1>constellation or belief constellation, you are free to pick and

0:19:27.800 --> 0:19:31.909
<v S1>choose for where they they are smart in your mind,

0:19:31.910 --> 0:19:34.580
<v S1>at least where they're smart about things, where they're dumb

0:19:34.580 --> 0:19:38.629
<v S1>about things. I get so many comments where people are like, hey, listen,

0:19:38.630 --> 0:19:42.500
<v S1>I absolutely love your stuff. I don't agree with everything,

0:19:42.500 --> 0:19:45.320
<v S1>but I agree with you on most things, and I

0:19:45.320 --> 0:19:47.870
<v S1>kind of feel like I'm happy when I hear that

0:19:47.960 --> 0:19:52.160
<v S1>because I feel like they're parsing everything. They're deciding because

0:19:52.160 --> 0:19:55.610
<v S1>they've already done number one. They've decided what they believe.

0:19:55.760 --> 0:19:58.580
<v S1>And I've had other people also say that over time

0:19:58.580 --> 0:20:01.820
<v S1>they came to believe something that I also believed, which

0:20:01.820 --> 0:20:05.030
<v S1>is cool. And sometimes I'll switch and, you know, believe

0:20:05.030 --> 0:20:07.790
<v S1>what they believe. The point is, you don't have to

0:20:07.790 --> 0:20:11.989
<v S1>accept everything a person says to pull wisdom out of

0:20:11.990 --> 0:20:15.109
<v S1>what they say, right? Maybe they're only good at making

0:20:15.109 --> 0:20:19.100
<v S1>the best, you know, Reuben sandwiches. And maybe that's all

0:20:19.100 --> 0:20:21.680
<v S1>I get from them, because the person's name is Tucker

0:20:21.680 --> 0:20:25.939
<v S1>Carlson and they don't know anything other than sandwiches. That's fine,

0:20:25.940 --> 0:20:28.910
<v S1>I will listen. I probably won't spend time like trying

0:20:28.910 --> 0:20:31.070
<v S1>to seek out that content, but it doesn't matter. That's

0:20:31.070 --> 0:20:34.280
<v S1>the point of this. Feel free to label people as

0:20:34.280 --> 0:20:37.639
<v S1>bad overall or stupid, but realize it doesn't mean they're

0:20:37.640 --> 0:20:41.210
<v S1>wrong about everything. So again, same concept. Be willing to

0:20:41.210 --> 0:20:45.409
<v S1>take truth from anywhere. And basically you want to regularly

0:20:45.410 --> 0:20:49.280
<v S1>revisit your number one, which. Is your basis of how

0:20:49.280 --> 0:20:54.260
<v S1>you think the world should work and then regularly re-evaluate, right?

0:20:54.260 --> 0:20:58.610
<v S1>Pull in lots of different opinions and see if it changes.

0:20:58.609 --> 0:21:02.030
<v S1>Number one and the aphorism of the week, best way

0:21:02.030 --> 0:21:05.570
<v S1>to have good ideas is to have lots of ideas.

0:21:05.570 --> 0:21:07.910
<v S1>The best way to have good ideas is to have

0:21:07.910 --> 0:21:13.209
<v S1>lots of ideas. Linus Pauling. Unsupervised Learning is produced and

0:21:13.210 --> 0:21:16.810
<v S1>edited by Daniel Missler on a Neumann 87 AI microphone

0:21:16.810 --> 0:21:20.770
<v S1>using Hindenburg. Intro and outro music is by zombie with

0:21:20.770 --> 0:21:23.590
<v S1>a Y, and to get the text and links from

0:21:23.590 --> 0:21:25.720
<v S1>this episode, sign up for the newsletter version of the

0:21:25.720 --> 0:21:30.570
<v S1>show at Daniel Missler. Com slash newsletter. We'll see you

0:21:30.570 --> 0:21:31.139
<v S1>next time.