WEBVTT - UL NO. 423: AI is Becoming Like Reading

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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 unsupervised learning, Mr. Daniel Missler. All right, let's get

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<v S1>into it here. So, yeah, doing a whole bunch of

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<v S1>new stuff with the desktop swapped out Kitty as the

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<v S1>new terminal got rid of alacrity, which was cool for

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<v S1>a hot minute there, but I think that lasted about

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<v S1>a week until I realized it had a lot of problems.

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<v S1>Someone recommended Kitty in the GitHub project for alacrity, and

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<v S1>I ended up switching over. And I just like a

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<v S1>better for lots of different reasons. And both of them,

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<v S1>in my opinion, are better than I term two. Both

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<v S1>of them have text configuration for for configuration, you don't

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<v S1>have to go into like settings with a UI as oxide.

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<v S1>You buy for a window management SCT for managing shortcuts

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<v S1>for your buy sketchy bar for this new bar. You

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<v S1>can see it up here and uh, Sto for syncing files.

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<v S1>Pretty cool stuff. And we're going to be talking about

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<v S1>this a whole bunch during a UL meeting on Thursday.

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<v S1>So that is coming up this Thursday if you are

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<v S1>a member. And yeah, I haven't been this excited about

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<v S1>a desktop configuration. Like I don't want to if I

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<v S1>start flipping around right now to show you it's going

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<v S1>to become a whole video and we don't have time

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<v S1>for that. So I'm just going to get into the show.

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<v S1>But I'm more excited than I've been for a very

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<v S1>long time about desktop configuration and just optimization. I'm just

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<v S1>I don't want to leave my home keys, right? I

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<v S1>want to vim all the things right. And that means

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<v S1>like screen management. I'm looking at three screens here. I've

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<v S1>got a, you know, the Apple Z1 in the middle

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<v S1>and I've got two LG five KS, so it's six

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<v S1>K in the middle, two five KS on the side.

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<v S1>I can move between them, I can move between desktops

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<v S1>inside of it inside, you know the Mac OS management

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<v S1>of desktops as well. And most importantly applications and windows

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<v S1>inside of the interface. But again, I don't want to

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<v S1>talk about it too much. Already have. All right. So

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<v S1>fabric now supports clod opus and opus is actually the

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<v S1>first model that I've seen that is actually better. I've

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<v S1>seen tangibly be better than GPT four. So I didn't

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<v S1>think that was going to happen before GPT five came out,

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<v S1>but it did. Opus is actually better in numerous cases

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<v S1>that I've actually physically seen, and one of them is

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<v S1>actually finding hidden message, which I talk about right here.

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<v S1>So this it's actually much better on this particular thing. Yeah.

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<v S1>So this is essentially how you use it. So you

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<v S1>do PB paste or whatever the input is. You take

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<v S1>any input from stdin or standard in and then you

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<v S1>send it into fabric extract ideas, and then you set

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<v S1>it to Model cloud three opus and you give the

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<v S1>model number. And we're actually about to make it. So

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<v S1>you don't need the model number. You could just send

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<v S1>it to cloud three opus and they'll use the latest one.

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<v S1>Also added a new pattern. That's basically how you use

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<v S1>cloud but added a new pattern called Extract Predictions. So

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<v S1>I'm going to basically send this content from whoever. And

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<v S1>it's going to rate including my own stuff, and it's

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<v S1>going to rate like how certain I am about the,

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<v S1>the prediction and also what the actual prediction was. And

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<v S1>when I said it would happen by and I'm going

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<v S1>to collect this for a group of people and then

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<v S1>retroactively look back and say, you know, I'm not sure

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<v S1>like how good they were at doing this, because it

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<v S1>looks like all these things are wrong. And with automation

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<v S1>plus AI, you have the ability to just like, go

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<v S1>get everything they ever said and look at all their

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<v S1>different predictions and see how valuable they were. And fine

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<v S1>hidden message is now more effective. And it actually comes

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<v S1>back and says, here's a really cynical view of what

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<v S1>they said, a normal view and then like a favorable view.

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<v S1>So that's pretty cool. I wrote a couple of new

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<v S1>essays this week. AI is already becoming like reading. Kind

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<v S1>of depressing. Not going to get into that. AI is

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<v S1>worse if you think it's someone who's fault, somebody fault.

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<v S1>So yeah, that one a little bit about framing essentially.

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<v S1>All right. Security. So had a Google engineer indicted for

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<v S1>stealing AI trade secrets to benefit China and basically took

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<v S1>over 500 files related to TPUs. Essentially tensor processing units

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<v S1>is what it was. And he actually lives not too

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<v S1>far from here, a few streets from here actually, like

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<v S1>a five minute drive and, uh, yeah, pretty, pretty sad.

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<v S1>And what I talked about here was basically, if you

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<v S1>don't want to like, go crazy with what's going on

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<v S1>with like, how this keeps happening with Chinese employees because

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<v S1>China is overreaching. China loves espionage. I mean, this is

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<v S1>just common knowledge. And they love to tap into their,

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<v S1>you know, people who are deployed all over the place. Right?

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<v S1>And it doesn't I don't know the exact details of this,

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<v S1>but it's not like they're actually deployed like a military unit.

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<v S1>It's more like, hey, I could tap you on the

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<v S1>shoulder at any given moment. Somebody named Andrew Bustamante talked

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<v S1>about this in extreme detail. At one point he's like, look,

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<v S1>this is the biggest and scariest spy service in the

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<v S1>world because they consider all of their, all of their

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<v S1>citizens to basically be an extension of the spy network.

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<v S1>So at any given moment, they could. Just tap you

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<v S1>on the shoulder and say, hey, it is your duty

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<v S1>as a Chinese citizen to help China. And that does

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<v S1>not mean that anyone's going to respond to that, right?

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<v S1>I absolutely don't believe that people have been here for

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<v S1>a long time, have loyalty to the US, that they're

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<v S1>going to do that. Right. And that's why I talk

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<v S1>about this. It takes a lot of courage and wisdom

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<v S1>to simultaneously realize how bad Chinese government espionage is without

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<v S1>giving in to racism, right? And a really good answer

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<v S1>to this is to have a really good insider threat

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<v S1>program that looks at behavior rather than characteristics. But the

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<v S1>problem here is that those programs are really difficult to

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<v S1>build and run and maintain, and so they tend to

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<v S1>only exist in big companies like Google. And this was

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<v S1>actually Google where this this was discovered. So the question

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<v S1>is like where is it also happening but not being discovered?

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<v S1>Big story. Midnight Blizzard is basically pounding on Microsoft. And

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<v S1>that is a Russian group. Qnap alerts more Criticals. I mean,

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<v S1>never under any circumstances put a NAS online. It's like

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<v S1>like I say here, it's a perfect storm of the

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<v S1>most critical data that you don't want to lose or

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<v S1>have stolen. And then the worst possible code just absolutely nasty.

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<v S1>And thanks to Plex Track for sponsoring North Korean spies

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<v S1>hacked into South Korean chipmakers stealing designs A flipper zero

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<v S1>device was used to break into a Tesla, but it

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<v S1>was a little bit of like kind of a stretch here.

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<v S1>First of all, they didn't have to use a flipper zero.

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<v S1>They could have used anything that just stole Wi-Fi because

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<v S1>it was like a fake Ssid. And then you had

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<v S1>to have multiple things sort of stacked together. You had

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<v S1>to be right next to it, like a bunch of

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<v S1>stuff that didn't make it super serious, which is why

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<v S1>I think Tesla didn't take it that serious either. Scammers

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<v S1>are increasingly using AI to mimic the voices of loved ones,

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<v S1>and my advice here is to let your most vulnerable

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<v S1>family members and friends know that scammers can now fake

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<v S1>voices and everything, and that if they think you're in trouble,

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<v S1>they should try to get in contact with you or

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<v S1>get in contact with someone who knows that you're okay,

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<v S1>someone around you, in your circle and in scammers. Do,

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<v S1>I think, try to do this? I know this for

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<v S1>a fact that they do. Not all can do this

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<v S1>because this takes time and effort. It it's what we

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<v S1>call in security world. Expensive to try to determine what

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<v S1>your current state is, but the more advanced the attack is,

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<v S1>the more money they would get from it, the more

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<v S1>likely it is to happen. But the point is, scammers

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<v S1>do try to figure out how to do this when

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<v S1>they know you won't be able to get in contact

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<v S1>with them. Okay, if you're on a vacation or you're,

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<v S1>you know, whitewater rafting or something and they know you're

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<v S1>on the river, again, this is less likely. But if

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<v S1>they know you're on a river, you don't have cell

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<v S1>phone connection. Well, that's the perfect time to call grandma.

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<v S1>And here's the problem. People post that they're whitewater rafting.

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<v S1>People post and say, I'm going whitewater rafting. I will

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<v S1>be unapproachable, unreachable for five hours. See you when I

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<v S1>get back. Well, thanks for mentioning that because now I

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<v S1>can call grandma and say, hey, they had a rafting

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<v S1>accident and the whole family needs surgery and we need

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<v S1>$80,000 to get the best doctors. And guess what? Grandma

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<v S1>immediately calls you and gets no answer. Or even worse,

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<v S1>the phone is out of service. Holy crap, now they're

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<v S1>freaking out. And then they use these tactics to just

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<v S1>make it more and more pressure. It's like, oh, the

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<v S1>doctors really worried. They said, they have to start now.

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<v S1>I need your credit card. And so that that sense

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<v S1>of urgency is really, really bad. So you've got to

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<v S1>train the more vulnerable people in your life to like,

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<v S1>get ready for this. It's especially bad. And this is

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<v S1>kind of the point of this one is like, what

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<v S1>if it's in your voice? Okay, it's a voice message

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<v S1>from you saying, please wire money to this account. Otherwise

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<v S1>these kidnappers are going to kill me, okay? And it is.

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<v S1>It sounds exactly like you. I mean, that that is

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<v S1>not in the future. That's like right now they can

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<v S1>make something sound like anyone. So you've got to prepare

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<v S1>your family and friends for this US sanctioned individual and

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<v S1>entities behind predator spyware. I like the fact that they're

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<v S1>going after people like this. Cloudflare has a new firewall

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<v S1>for AI and looking at protecting yeah, basically AI from

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<v S1>security threats. And my my analysis here is so nimble.

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<v S1>These guys, they they basically seep into all the cracks.

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<v S1>They're slowly becoming the internet. I honestly believe this. Cloudflare

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<v S1>is quietly becoming the internet, right. If Google like gets

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<v S1>rid of Gmail and YouTube out of sheer stupidity, which

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<v S1>is not out of question, and Akamai gets bought by

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<v S1>whatever Johnson and Johnson and boom, suddenly Cloudflare is like

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<v S1>the internet. Brian Krebs has a really cool analysis of radar,

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<v S1>a data broker that sells all sorts of American data,

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<v S1>and they've got ties to Russia and all sorts of badness.

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<v S1>And Krebs does a great job as as always taking

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<v S1>that down. And Russia, setting up fake news sites. Can't

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<v S1>wait to actually start consuming these things. I'm going to

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<v S1>start consuming. Tons of online content and actually doing multiple

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<v S1>filters on it. And one of them is going to

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<v S1>be looking for propaganda. So I'm hoping to detect these

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<v S1>types of networks before anyone else does. China is increasing

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<v S1>its defense budget by 7.2%, and this more than doubles

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<v S1>the military budget under Xi's leadership. Technology for AI is

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<v S1>a cold calling AI service. You have got to check

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<v S1>this thing out. It is the craziest thing and I've

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<v S1>got links here to the video. I don't know, I

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<v S1>might start doing a longer version of this where I

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<v S1>can actually play the videos, but this, this one here.

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<v S1>New voice demo. This one actually has a female southern

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<v S1>person calling and you can hear the accent. It's really endearing.

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<v S1>I spent like, whatever, 12 years in Georgia, got my

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<v S1>girl from there. And like, the accent is just amazing

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<v S1>and it just kind of makes you open up and like,

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<v S1>listen a little bit more, which is the whole key

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<v S1>to a cold call. And anyway, this thing is it's insane.

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<v S1>It's the coolest. Like sales automation thing I've ever seen.

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<v S1>And it yeah, it uses AI. All right. So it's

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<v S1>been giving AIS different IQ tests actually this matrix IQ test.

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<v S1>But they're giving different LMS the matrix IQ test. And

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<v S1>Claude three just broke over 100 for the first time.

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<v S1>And 100 is like the average human IQ. Apple has

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<v S1>quickly shifted from a passive stance in AI to going

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<v S1>crazy with it, and can't wait to see what they

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<v S1>do in September. Apple podcasts now have auto generated transcripts.

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<v S1>Research is saying that models will soon be able to

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<v S1>optimize prompts better than people, so prompt engineering might be

0:12:18.353 --> 0:12:22.253
<v S1>just going away. I think that's kind of right, but

0:12:22.253 --> 0:12:25.973
<v S1>at the same time, you can't just give it total garbage, right?

0:12:26.153 --> 0:12:28.463
<v S1>I don't see some random person be able to just

0:12:28.463 --> 0:12:31.433
<v S1>bark idiocy at a model and have it say, oh,

0:12:31.433 --> 0:12:35.333
<v S1>you were referring to Feynman's third principle. Indeed. Let us proceed.

0:12:35.333 --> 0:12:37.043
<v S1>Don't think it's going to be able to do that,

0:12:37.043 --> 0:12:40.313
<v S1>but if you do voice something that's halfway decent, they

0:12:40.313 --> 0:12:42.083
<v S1>might be able to like, clean it up and be like,

0:12:42.083 --> 0:12:46.643
<v S1>I think you meant this. Global trust in AI is falling, waning,

0:12:46.643 --> 0:12:51.373
<v S1>dropping off with a significant drop from 61% in 2019

0:12:51.373 --> 0:12:55.253
<v S1>to 53% now. And this is why I wrote one

0:12:55.253 --> 0:12:57.743
<v S1>of the essays that I was talking about up above

0:12:57.743 --> 0:13:02.273
<v S1>France just put the right to abortion directly in the Constitution,

0:13:02.273 --> 0:13:04.973
<v S1>and somebody set a new rule capping credit card late

0:13:04.973 --> 0:13:07.553
<v S1>fees at $8. This is going to cost banks a

0:13:07.553 --> 0:13:10.433
<v S1>lot of money. A lot of people are basically saying, hey, look,

0:13:10.433 --> 0:13:12.563
<v S1>they're just going to find ways to get that money

0:13:12.563 --> 0:13:14.963
<v S1>back with other fees, but it doesn't matter. I like

0:13:14.963 --> 0:13:17.603
<v S1>the fact that the government is actually pushing back on

0:13:17.603 --> 0:13:23.243
<v S1>this really cool, raw image. Look at this. This is insane.

0:13:23.243 --> 0:13:25.943
<v S1>This is why I want to do a video podcast

0:13:25.943 --> 0:13:29.813
<v S1>instead of a audio. I mean, look at this. I've

0:13:29.813 --> 0:13:32.543
<v S1>already got the Hubble version of this, but this is

0:13:32.543 --> 0:13:35.453
<v S1>the new one from the Webb telescope. Look at this thing.

0:13:35.453 --> 0:13:41.363
<v S1>This is ridiculous. Every single thing you see is a galaxy,

0:13:41.393 --> 0:13:45.113
<v S1>not a star, a galaxy. Actually, there might be some

0:13:45.113 --> 0:13:48.863
<v S1>stars that that happens sometimes, but yeah, really cool. So

0:13:48.863 --> 0:13:50.993
<v S1>I'm going to basically order this on a metal print

0:13:50.993 --> 0:13:53.573
<v S1>like I have for the Hubble. One single dose of

0:13:53.573 --> 0:14:00.233
<v S1>LSD shows promising results for treating anxiety 48% remission at

0:14:00.233 --> 0:14:03.683
<v S1>12 weeks Sweden is now a NATO. New York has

0:14:03.683 --> 0:14:09.143
<v S1>rolled out National Guard troops to protect its subways. That's disturbing.

0:14:09.143 --> 0:14:14.723
<v S1>And Scotus ruled unanimously to keep Trump on state ballots. Yeah,

0:14:14.723 --> 0:14:18.623
<v S1>I consider what Colorado and some other people tried to

0:14:18.623 --> 0:14:22.283
<v S1>do to get him off the ballot as a Brexit move,

0:14:22.283 --> 0:14:24.623
<v S1>and I call it a Brexit move because it's the

0:14:24.623 --> 0:14:26.933
<v S1>type of thing that you try to do. You get

0:14:26.933 --> 0:14:29.363
<v S1>it done and then you immediately regret that you did

0:14:29.363 --> 0:14:32.963
<v S1>it right. You don't take people you dislike off the ballot.

0:14:32.963 --> 0:14:35.513
<v S1>You don't do that. It's not American. It's a bad thing.

0:14:35.513 --> 0:14:38.633
<v S1>And like I said down here, the moment you do

0:14:38.633 --> 0:14:41.303
<v S1>it and it actually works well when you're not in

0:14:41.303 --> 0:14:43.973
<v S1>control and it comes time to put up your own candidate,

0:14:43.973 --> 0:14:45.893
<v S1>the opposition is just going to do it to you

0:14:45.893 --> 0:14:47.423
<v S1>and it's going to get worse. And pretty soon you

0:14:47.423 --> 0:14:51.413
<v S1>have Banana Republic. It's not a real democracy. And here's

0:14:51.413 --> 0:14:54.833
<v S1>the other point. If somebody can be elected and you

0:14:54.833 --> 0:14:58.403
<v S1>find them so detestable, but they actually get elected like

0:14:58.403 --> 0:15:02.423
<v S1>they they legally are allowed to run in the country

0:15:02.423 --> 0:15:05.753
<v S1>votes for them. That's the game. That is the game.

0:15:05.753 --> 0:15:08.993
<v S1>And I do not like Trump. I'm not a Trump guy.

0:15:09.023 --> 0:15:11.573
<v S1>Doesn't matter. And we're not going into politics here. But

0:15:11.573 --> 0:15:14.153
<v S1>he's not my guy. The point is, if the country

0:15:14.153 --> 0:15:18.173
<v S1>votes him in and that very well may happen, then

0:15:18.173 --> 0:15:22.043
<v S1>that is American. That is American. For somebody to vote

0:15:22.043 --> 0:15:25.163
<v S1>in in a free election, of course, which I think

0:15:25.163 --> 0:15:28.043
<v S1>it will be. And it's like, that's what that's what

0:15:28.043 --> 0:15:31.253
<v S1>America wanted. So either change the country or leave. I mean,

0:15:31.253 --> 0:15:33.683
<v S1>those are my options at that point. All right. Ideas

0:15:33.683 --> 0:15:38.033
<v S1>and analysis. I was troubled with Harare's analysis on Colbert.

0:15:38.033 --> 0:15:40.583
<v S1>So he basically said, down here. He was talking to

0:15:40.583 --> 0:15:44.753
<v S1>Colbert and he basically says, we have no idea what

0:15:44.753 --> 0:15:48.083
<v S1>to teach kids growing up. Now we have no idea

0:15:48.083 --> 0:15:50.573
<v S1>to tell them what kind of skills to have. And

0:15:50.573 --> 0:15:52.463
<v S1>we used to be able to tell them, oh, you know,

0:15:52.463 --> 0:15:55.373
<v S1>shoot a bow, you know, ride a horse, you know,

0:15:55.373 --> 0:15:58.373
<v S1>farm wheat or whatever. And now we don't know what

0:15:58.373 --> 0:16:01.973
<v S1>to say. And I just don't think that was good.

0:16:01.973 --> 0:16:04.763
<v S1>I mean, he's he's the best. I got massive respect

0:16:04.763 --> 0:16:07.523
<v S1>for him. And I also want to give him, you know,

0:16:07.523 --> 0:16:12.233
<v S1>some props because like I say here, the lights are bright, right?

0:16:12.293 --> 0:16:15.143
<v S1>I mean you're encouraged to give like these little soundbites.

0:16:15.143 --> 0:16:18.623
<v S1>So so I'm not like throwing shade, but I just

0:16:18.623 --> 0:16:20.723
<v S1>wish he didn't come out and say, we have no

0:16:20.723 --> 0:16:24.083
<v S1>idea what to tell people because we actually do write

0:16:24.083 --> 0:16:28.553
<v S1>clear thinking, clear communication, understanding the past, understanding the merits

0:16:28.553 --> 0:16:32.573
<v S1>of various arguments, how to disagree, philosophy, critical thinking. All

0:16:32.573 --> 0:16:36.203
<v S1>these things are more important than ever and more obvious

0:16:36.203 --> 0:16:38.693
<v S1>than ever that we need them in the future. So

0:16:38.693 --> 0:16:40.733
<v S1>it's kind of the opposite of what he's saying. So

0:16:40.733 --> 0:16:43.433
<v S1>that's what I basically said in this tweet. All right.

0:16:43.433 --> 0:16:46.403
<v S1>Been drawn back into the Stoics lately, been reading a

0:16:46.403 --> 0:16:49.673
<v S1>whole lot of Marcus Aurelius, and really got a whole

0:16:49.673 --> 0:16:52.883
<v S1>bunch of stuff from Ryan Holiday's Stoic store. And you

0:16:52.883 --> 0:16:55.163
<v S1>should check that out. And oh, yeah, we're doing our

0:16:55.163 --> 0:16:58.493
<v S1>mid-month on optimization. I think I talked about that already,

0:16:58.493 --> 0:17:01.133
<v S1>and I should go sign up. That's the link to

0:17:01.133 --> 0:17:05.573
<v S1>go sign up Daniel missler.com/premium. And yeah, this newsletter was

0:17:05.573 --> 0:17:08.603
<v S1>super fun to do. Really fast, more creative than ever.

0:17:08.603 --> 0:17:11.243
<v S1>Just it's going great. Don't really need to say too

0:17:11.243 --> 0:17:14.483
<v S1>much about that. All right. Discovery obsidian as a graph

0:17:14.483 --> 0:17:17.093
<v S1>database for Rag. This is really cool because people put

0:17:17.093 --> 0:17:20.213
<v S1>so much effort into obsidian. Being able to apply AI

0:17:20.243 --> 0:17:23.333
<v S1>to it is super, super cool. Male in the middle

0:17:23.333 --> 0:17:29.003
<v S1>automate spearfishing. Enough said. Junaid Islam outlines a five step

0:17:29.003 --> 0:17:32.663
<v S1>method for cutting cybersecurity budgets. This was a pretty cool

0:17:32.663 --> 0:17:35.813
<v S1>write up. During World War Two, America fought against damaging

0:17:35.813 --> 0:17:40.223
<v S1>rumors with rumor clinics in newspapers and magazines. I think

0:17:40.223 --> 0:17:43.013
<v S1>we should look and do this right. We should look

0:17:43.013 --> 0:17:47.513
<v S1>into this so debunked lies by fact checking and publishing

0:17:47.513 --> 0:17:52.253
<v S1>the findings, helping to maintain morale and unity. Um, pretty cool.

0:17:52.373 --> 0:17:57.593
<v S1>I get Julia Evans, the surprisingly complex world of Jets head,

0:17:57.593 --> 0:18:02.513
<v S1>revealing its multifaceted roles. I am embarrassed by how often

0:18:02.513 --> 0:18:06.443
<v S1>I realized I don't know anything about Kit. I just

0:18:06.533 --> 0:18:09.083
<v S1>too many times per month, I just delete the whole

0:18:09.173 --> 0:18:12.593
<v S1>I'm like, I'm confused, delete the whole repo, re clone it.

0:18:12.593 --> 0:18:15.113
<v S1>And that's just sad. I need to get class. All right.

0:18:15.113 --> 0:18:17.933
<v S1>It's getting harder to tell humans apart from bots, but

0:18:17.933 --> 0:18:21.503
<v S1>not because bots are getting more smart or more like humans,

0:18:21.503 --> 0:18:25.313
<v S1>but because humans are acting more like bots. Oh that's disturbing.

0:18:25.313 --> 0:18:28.163
<v S1>How to start a home lab? Really good primer here

0:18:28.163 --> 0:18:33.293
<v S1>by Hayden James. And this guy Chen is all excited

0:18:33.293 --> 0:18:36.503
<v S1>about soft skills. He says 80% of failures at Amazon

0:18:36.503 --> 0:18:39.743
<v S1>are due to soft skill issues, not technical ability. And

0:18:39.743 --> 0:18:43.793
<v S1>it says that he got a job at Amazon even

0:18:43.793 --> 0:18:46.553
<v S1>though he wasn't technical because of this skill. I'm not

0:18:46.553 --> 0:18:49.013
<v S1>sure it was actually him that said 80% of failures,

0:18:49.013 --> 0:18:53.693
<v S1>but I wrote that anyway. All right. Tolkien intensely disliked

0:18:53.693 --> 0:18:59.213
<v S1>Dune because Tolkien wanted to talk about inherent acts of goodness,

0:18:59.363 --> 0:19:05.393
<v S1>and Dune talks about consequentialist morality of action judged by

0:19:05.393 --> 0:19:08.813
<v S1>their outcomes. I like it, I like it, and I

0:19:08.813 --> 0:19:10.973
<v S1>also like this word. I wrote a piece about this

0:19:10.973 --> 0:19:14.933
<v S1>a while back. Deontological. The morality of something depends on

0:19:14.933 --> 0:19:18.503
<v S1>the effects that it has as opposed to intentions. Pretty

0:19:18.503 --> 0:19:22.853
<v S1>cool concept. Someone reminisces about the simpler, less polished writing

0:19:22.853 --> 0:19:25.823
<v S1>they used to do. They express a longing. This is

0:19:25.823 --> 0:19:28.583
<v S1>on Reddit, by the way, a longing for their earlier,

0:19:28.583 --> 0:19:32.183
<v S1>unrefined work. Feeling it had charm that their current writing lacks.

0:19:32.183 --> 0:19:35.783
<v S1>This is absolutely true. I've experienced that in the past,

0:19:36.083 --> 0:19:38.873
<v S1>and Kate Hall shares how anyone can learn to be

0:19:38.873 --> 0:19:42.023
<v S1>more energetic. This is pretty cool. It's over on the

0:19:42.023 --> 0:19:45.623
<v S1>site every, which is a really cool site from Dan

0:19:45.623 --> 0:19:49.103
<v S1>Shipper and the recommendation of the week. Trust your routine.

0:19:49.103 --> 0:19:51.563
<v S1>If you spend a lot of time putting together a

0:19:51.563 --> 0:19:54.383
<v S1>routine that helps you feel good and positive, then you

0:19:54.383 --> 0:19:56.453
<v S1>got to follow it. You got to follow your routine.

0:19:56.453 --> 0:19:59.243
<v S1>Whenever I'm out of routine, I'm not feeling good. I'm like, ah,

0:19:59.243 --> 0:20:00.953
<v S1>it's got to be something else. It's got to be.

0:20:00.953 --> 0:20:02.483
<v S1>I got to figure out what it is. Is a

0:20:02.483 --> 0:20:06.593
<v S1>supplement or something? No, it's it's not a supplement. It's

0:20:06.593 --> 0:20:09.353
<v S1>not something special. You're just not on your routine. Right.

0:20:09.353 --> 0:20:13.403
<v S1>What's the routine? Something like this very Huberman esque sleep,

0:20:13.403 --> 0:20:17.513
<v S1>sun exercise, clean food, walking. Talk to your friends and family.

0:20:17.513 --> 0:20:20.903
<v S1>Like be social. It's the basics and there's a reason

0:20:20.903 --> 0:20:23.483
<v S1>you wrote them down, so go do them. And the

0:20:23.483 --> 0:20:26.813
<v S1>aphorism of the week. Choose not to be harmed and

0:20:26.813 --> 0:20:30.743
<v S1>you won't feel harmed. Don't feel harmed and you haven't been.

0:20:30.743 --> 0:20:33.443
<v S1>Choose not to be harmed and you won't feel harmed.

0:20:33.443 --> 0:20:36.083
<v S1>And if you don't feel harmed, then you haven't been.

0:20:36.083 --> 0:20:41.163
<v S1>Marcus Aurelius. Unsupervised learning is produced in. By Daniel Miller

0:20:41.163 --> 0:20:45.723
<v S1>on a Norman 87 AI microphone using Hindenburg. Intro and

0:20:45.723 --> 0:20:49.143
<v S1>outro music is by zombie with the Y, and to

0:20:49.143 --> 0:20:51.303
<v S1>get the text and links from this episode, sign up

0:20:51.303 --> 0:20:55.653
<v S1>for the newsletter version of the show at Daniel miller.com/newsletter.

0:20:56.913 --> 0:20:57.783
<v S1>We'll see you next time.