WEBVTT - UL NO. 454: The First AI Breaches

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<v S1>Two zero day exploits and supply chain attacks keep you

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<v S1>for your organization, visit threatlocker. Communal. That's Threatlocker communal. Welcome

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<v S1>to Unsupervised Learning, a security, I and meaning focused podcast

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<v S1>that looks at how best to thrive as humans in

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<v S1>a post AI world. It combines original ideas, analysis and

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<v S1>mental models to bring not just the news, but why

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<v S1>it matters and how to respond. All right, welcome to

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<v S1>unsupervised learning. This is Daniel. Okay. The first AI breaches.

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<v S1>What do we have here? Oh. Saw the comet last night. Yeah.

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<v S1>This is really cool. It's been out for a little while.

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<v S1>It's actually going to be out for a few more days,

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<v S1>and I think it's getting a little less bright, but.

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<v S1>And coming out a little bit later each day, I

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<v S1>think maybe like 10 or 15 minutes later each day.

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<v S1>But my girl took this very, very cool, very, very cool. Uh,

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<v S1>she actually spotted it with her, um, naked eyes at first.

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<v S1>She was the first one to see it, and then

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<v S1>we all started pointing cameras and binoculars at it, but

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<v S1>she actually captured this with, um, her iPhone 16 Pro,

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<v S1>so not bad at all. Yeah, basically, the iPhone catches

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<v S1>a lot more than the naked eye, and she used

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<v S1>light or night mode and also long exposure. And yeah,

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<v S1>it looks pretty good. Uh, it's an 80 000 year

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<v S1>orbit time for this particular comet. And, uh, the head there,

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<v S1>which was quite bright, is about two miles across, and

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<v S1>the tail is something like 18 million miles long. And

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<v S1>for reference, it's 8 million miles to the sun. So it's.

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<v S1>What is that? Almost three times two and a half times.

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<v S1>The tail is two and a half times the distance

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<v S1>from the Earth to the sun. And the head is

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<v S1>two miles wide. And it won't be back for another

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<v S1>80,000 years. She's like, I guess we won't see it again.

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<v S1>I'm like, I don't know, eat your greens, gotta Good

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<v S1>exercise every day. You never know how long you can live. Okay, so, uh. Yeah.

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<v S1>Wrote a tutorial on how to use any hugging face

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<v S1>model with a llama. So I want to open this

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<v S1>up real quick. It's a super quick tutorial. I'm actually

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<v S1>I think I already recorded the video as well. Yeah,

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<v S1>I think I already recorded the video as well, so

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<v S1>it should be a video soon. But look at this.

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<v S1>It's super simple. You go to the models page on

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<v S1>hugging Face. You basically get the URL. You click on

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<v S1>this right here, files and versions, which you can see here.

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<v S1>You get one of these files like I got the

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<v S1>smaller one, the four gig one. You edit a model

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<v S1>file and this is all you have to put in there.

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<v S1>Look at this. It's insane. So you basically do um,

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<v S1>from is all you need actually is from. Okay. And

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<v S1>then you just put the path to the file and

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<v S1>then if you want to add a system, um, prompt

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<v S1>you can. So that's that's pretty much it. And you

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<v S1>don't need a system prompt. Okay. You can just use

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<v S1>the user prompt which is what you send into the model.

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<v S1>But then you do this this command here. So so

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<v S1>again we're trying to get a llama to run all

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<v S1>these models. So once you have this model file it's saved.

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<v S1>You just do this little command right here and then

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<v S1>this this name that you give it. Lexi writer or Lexi,

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<v S1>writer or writer or whatever you want to call it.

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<v S1>You just give it a llama create writer. Okay, so

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<v S1>you just made its own model. This takes like one

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<v S1>second to complete this little piece right here. And then

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<v S1>you run llama run in the name of the model

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<v S1>you created. Llama run. Writer. Llama run. Lexi. Writer, whatever

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<v S1>it is. And now you're actually talking to that model,

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<v S1>that hugging face model that you just downloaded. So this

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<v S1>entire process might be like three minutes. Five minutes, right?

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<v S1>Depends how long it takes you to download The the file.

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<v S1>So you just went from having like a couple of

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<v S1>dozen models available inside of a llama to having tens

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<v S1>of thousands or hundreds of thousands. So really, really cool.

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<v S1>And my buddy Marcus Hutchins and I disagree about Elon,

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<v S1>about a couple of things about his politics. Um, well,

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<v S1>we we agree on his politics. I just think Elon's

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<v S1>going to come back. I think he's still liberal. I'm

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<v S1>hoping he's still liberal. Um, I would say I'm hoping

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<v S1>he's liberal. Not a liberal. Not a current liberal. Um,

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<v S1>but I'm hoping he's more balanced. I believe he's more balanced.

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<v S1>And he's going to return. Marcus thinks he is Sith.

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<v S1>He is turned Sith. He is straight, far right, and

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<v S1>he's not coming back. And I want to say, I

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<v S1>do agree that that's possible and I'm worried about it,

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<v S1>but I'm hoping it's not the case. And I think

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<v S1>it's not the case. I think after a bunch of

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<v S1>this craziness blows over in the next year or two

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<v S1>that he will start showing his his more liberal and

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<v S1>balanced side, that that's my hope. He also believes that

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<v S1>Ellen is basically I don't want to put too many

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<v S1>words in his mouth, but I think he believes that

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<v S1>he's not a true innovator. He got lucky. A lot

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<v S1>of his stuff is garbage. Um, it's just like there's

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<v S1>there's no way any of this is going to go

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<v S1>well for him. Tesla is going to be basically bankrupt

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<v S1>within a year or two, I believe, he said. And

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<v S1>I've got a link to the whole conversation we had.

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<v S1>And we were we were texting on the side as

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<v S1>well during this. Um, and then basically I'm like, hey, look,

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<v S1>should we bet on this? Um, and so he offered

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<v S1>a couple of bets and I said, I need these

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<v S1>to be measurable. So I offered three measurable bets. One,

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<v S1>the Tesla stock would hit 250. Um, you know, it

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<v S1>would hit that point by June 30th. So middle of

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<v S1>next year it would hit 250. End of next year

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<v S1>it will have hit $300 at least once. It would

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<v S1>have got to that point. Um, and I actually think

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<v S1>it's going to be higher, but I just wanted to

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<v S1>have it 250 and 300. And then that Elon would,

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<v S1>in a liberal way, in a principled way that defends

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<v S1>something around anti-authoritarianism, something freedom oriented. In other words, Trump

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<v S1>would be on the wrong side of this and Elon

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<v S1>would be on the right side of it, the correct

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<v S1>side of it. And I argued that that would happen

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<v S1>by the end of next year. Okay. So that's three

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<v S1>different bets, each for $1,000. And uh, he accepted. So

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<v S1>we got three bets out there. Kind of reminds me

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<v S1>of this thing that I've been obsessed with lately, which

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<v S1>are these prediction markets. Which one is manifold? I forget

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<v S1>the name of the other one starts with a P, but, um, yeah,

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<v S1>pretty excited about these. I've barely started messing around with them,

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<v S1>but I feel like I want to use them more. Okay.

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<v S1>I did a talk for a UN group called Ypo,

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<v S1>which is a intellectual property, and it went really well.

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<v S1>And I want to thank Olivia Fabrizi, I believe, is

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<v S1>how you pronounce her last name for being not just

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<v S1>a great host, but actually, really, she has some really

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<v S1>great questions. She seems very interested in all this AI stuff,

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<v S1>very knowledgeable, and she was kind enough to host us

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<v S1>in this. And yeah, it was great. It was great conversation.

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<v S1>I listened back to the talk which which I hadn't

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<v S1>done before, and it seemed like it went pretty well

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<v S1>and good questions at the end. So I encourage you

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<v S1>to check that out. Thanks to Nudge Security for sponsoring

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<v S1>and let's get into security. Okay, so an attacker accessed moi.

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<v S1>I don't know how you pronounce that. Moi, moi. I

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<v S1>feel like you could have done a better job with

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<v S1>the name, but, um. AI chatbot database. Okay, so this

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<v S1>is I've been talking about this for a long time.

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<v S1>A lot of people who are anti I have been

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<v S1>talking about this, but I am obviously pro AI. But

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<v S1>I absolutely believe this is going to happen. It already

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<v S1>has happened and it's going to get worse. This AI

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<v S1>chatbot database is full of like basically AI girlfriends is

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<v S1>is the vibe that I'm getting. In fact, let's let's

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<v S1>go pull it up. What are we doing? This is

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<v S1>why we have video. All right. Select your login. Don't

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<v S1>think so. Okay. Yeah. Notice any, um, notice any trends here?

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<v S1>How many guys do we have here? Is this a guy?

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<v S1>I think the bottom left. We got a guy. Top

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<v S1>right or top left? We have a guy. Uh, I'm

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<v S1>not sure on this one. And then the rest are

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<v S1>all girls looking a little young. Honestly, uh, if I'm

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<v S1>being frank here, but anyway. Um. Avatars. Okay, so basically,

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<v S1>it's avatars. It's Companions. This whole scene is getting really

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<v S1>big an eye for lots of reasons. There's companionship, but obviously,

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<v S1>I mean, this whole girlfriend sex like fantasy angle is

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<v S1>is so obvious and it's so obvious that that's where

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<v S1>a lot of attention was going to go, both from

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<v S1>the user side but also on the builder side. And

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<v S1>so this company, their database got breached sensitive user interactions.

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<v S1>It had the chat history okay. So the user sign

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<v S1>up you look look at this. You sign up with

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<v S1>you look look it's got federated logins okay. These are

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<v S1>your actual user accounts okay. So people sign up with

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<v S1>their user accounts. Like if I click on this okay

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<v S1>I'm going to click on it I'm signing up with

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<v S1>my real stuff okay. If I sign up with this.

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<v S1>And then I have this chat with this, this avatar,

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<v S1>this AI over there and whatever I say on there.

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<v S1>And now that's what gets compromised. Okay. So including sexual fantasies,

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<v S1>and the user accounts were linked to people's personal addresses.

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<v S1>I mean, it's so obvious that this was going to

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<v S1>happen and it is now happening. It's going to be

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<v S1>it's going to be nasty, right? So input validation issues,

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<v S1>prompt injection, all of that. But the vast majority of

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<v S1>damage this is what I'm saying afterwards will come from

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<v S1>customers giving their souls essentially to small startups in the

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<v S1>AI assistant AI girlfriend space. This doesn't have to be

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<v S1>like a sexual fantasy thing. It could be trauma. It

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<v S1>could be somebody using it as there's other sites just

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<v S1>like this, but it's more therapy oriented. So it's like

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<v S1>you have a best friend to talk to you and

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<v S1>you're talking about your favorite show and blah, blah, blah,

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<v S1>and like, you develop this relationship with it, but you

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<v S1>might have been saying some really nasty stuff about your

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<v S1>parents or about whatever, maybe about your friends, right? Maybe

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<v S1>you're really sad and you think your friend stabbed you

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<v S1>in the back or whatever. So you're talking all this

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<v S1>crap about them and that gets released. I mean, we're

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<v S1>talking about intimacy here. It doesn't have to be of

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<v S1>a sexual, you know, sort of flavor. Right. So we're

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<v S1>talking about the the closest form of intimacy, which is

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<v S1>what you have with like this friend, you you can

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<v S1>tell anything and you can't tell anyone else. A lot

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<v S1>of people, they don't have any friends. So this is

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<v S1>like their only friend. So you give it your trauma,

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<v S1>your political opinions. Yeah. Fantasies, whatever. And they totally get you.

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<v S1>But this, it might be like a nine person startup.

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<v S1>They have no security. Right. I mean, startups get hacked

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<v S1>so easily. It's so easy to hack one of these

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<v S1>little startups. They have no security, they don't know how

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<v S1>to do security. And once they do, I mean, think

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<v S1>about the extortion campaigns here, right? Assuming the people have money,

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<v S1>which a lot some of them will and some of

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<v S1>them won't. But but I mean, you could just be like, hey,

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<v S1>here's a clip from this thing you were talking with

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<v S1>your avatar or whatever. You shared this trauma that you had.

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<v S1>You shared this talking crap about your friend. Um, I mean,

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<v S1>there's just so much possibility here for malicious use by

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<v S1>an attacker who gets hold of one of these databases.

0:12:46.660 --> 0:12:50.439
<v S1>So something to think about, Castillo says. A ransomware attack

0:12:50.440 --> 0:12:56.620
<v S1>led to a theft of sensitive data. I mean, 200GB.

0:12:56.620 --> 0:12:59.800
<v S1>They said it wasn't credit card info, but basically, Castillo

0:12:59.830 --> 0:13:05.440
<v S1>got breached. Miter introduced caldera bug bounty hunter plugin horizon three.

0:13:05.440 --> 0:13:08.949
<v S1>Researchers detailed how they identified new vulns in Palo Alto,

0:13:08.950 --> 0:13:12.490
<v S1>and they went all the way to full system compromise.

0:13:12.580 --> 0:13:17.230
<v S1>And there's patches out for that. Wayback machine got breached

0:13:17.230 --> 0:13:22.240
<v S1>six gigabytes of a SQL database, 31 million user records,

0:13:22.240 --> 0:13:24.880
<v S1>sites still down, but they're working to get it back up.

0:13:24.880 --> 0:13:30.760
<v S1>Researchers from Eset have discovered two sophisticated tool sets used

0:13:30.760 --> 0:13:35.710
<v S1>by nation state groups to go after airgapped devices. I

0:13:35.710 --> 0:13:38.480
<v S1>see Airgap, I think Israel, but they're saying this is

0:13:38.480 --> 0:13:43.880
<v S1>possibly Russian drop zone. Thanks again for sponsoring. Cybernews says

0:13:43.880 --> 0:13:47.660
<v S1>Google's Pixel nine Pro sends data packets to Google every

0:13:47.660 --> 0:13:51.620
<v S1>15 minutes, including location, email and phone number, even with

0:13:51.620 --> 0:13:55.939
<v S1>GPS off. And they're using Wi-Fi to to estimate location.

0:13:55.940 --> 0:14:00.949
<v S1>UNODC warns that Southeast Asian scammers are using deepfakes to

0:14:00.980 --> 0:14:05.809
<v S1>enhance pig pig butchering. Yea, pig butchering these. These are nasty.

0:14:05.840 --> 0:14:10.309
<v S1>It's basically someone builds a relationship with you over a

0:14:10.309 --> 0:14:14.990
<v S1>period of time, and basically, especially for older people who

0:14:14.990 --> 0:14:19.070
<v S1>are lonely and who have money, obviously. Um, so basically

0:14:19.070 --> 0:14:23.030
<v S1>you become their friend, then this person gets in distress

0:14:23.030 --> 0:14:25.820
<v S1>and you're like, oh, I can send you money. And

0:14:25.820 --> 0:14:29.270
<v S1>that's kind of how it's done. Usually. Salt typhoon Chinese

0:14:29.270 --> 0:14:33.770
<v S1>group exploited backdoors meant for lawful data requests Ukraine has

0:14:33.770 --> 0:14:38.250
<v S1>sentenced two hackers linked to Russia's FSB and the Armageddon

0:14:38.250 --> 0:14:42.600
<v S1>Group to 15 years for cyber attacks on state institutions

0:14:42.600 --> 0:14:45.480
<v S1>in absentia. So they're not there. They don't have these people,

0:14:45.480 --> 0:14:49.830
<v S1>but they have called them out and sentenced them regardless.

0:14:49.860 --> 0:14:54.600
<v S1>OpenAI has stopped another 20 foreign operations using its stuff

0:14:54.600 --> 0:14:57.870
<v S1>to sway political opinions and meddle in elections. They said

0:14:58.140 --> 0:15:02.010
<v S1>they haven't seen any really nasty malware being created because

0:15:02.010 --> 0:15:04.050
<v S1>they have a lot of a lot of protections built

0:15:04.050 --> 0:15:07.140
<v S1>in for that. So that's that's good news. But still

0:15:07.170 --> 0:15:12.930
<v S1>being used for. Yeah, to try to influence campaigns. Basically

0:15:12.930 --> 0:15:17.100
<v S1>private intelligence groups like Recorded Future and Flashpoint are changing

0:15:17.100 --> 0:15:20.370
<v S1>intelligence by leveraging tons of data from the internet, including

0:15:20.370 --> 0:15:23.880
<v S1>dark web. And I love this. I love this vibe

0:15:23.880 --> 0:15:27.930
<v S1>of small companies competing with corporations and small Intel groups

0:15:27.930 --> 0:15:31.830
<v S1>competing with, like, you know, big Intel groups. In some ways,

0:15:31.830 --> 0:15:35.650
<v S1>study says popular car brands like Hyundai, Kia and Tesla

0:15:35.650 --> 0:15:39.640
<v S1>are collecting driver data, including voice recognition and camera footage,

0:15:39.640 --> 0:15:41.650
<v S1>and sharing it with third parties. I'm going to look

0:15:41.650 --> 0:15:45.370
<v S1>more into this because I'm curious how much Tesla is

0:15:45.370 --> 0:15:48.760
<v S1>sharing because I have a Tesla myself. Pentagon said the

0:15:48.760 --> 0:15:52.960
<v S1>US will send a third missile defense system to Israel,

0:15:52.960 --> 0:15:56.620
<v S1>along with 100 troops, just to operate it to improve

0:15:56.650 --> 0:16:01.300
<v S1>defense against Iran. Okay, so AI tech, if you use ChatGPT,

0:16:01.330 --> 0:16:03.970
<v S1>try this prompt just for fun. So this is a

0:16:03.970 --> 0:16:07.060
<v S1>meme or whatever that's going around. And essentially what it

0:16:07.060 --> 0:16:12.040
<v S1>is is it's saying go into ChatGPT and ask it

0:16:12.040 --> 0:16:14.260
<v S1>from all of our interactions together. What is the one

0:16:14.260 --> 0:16:16.570
<v S1>thing you could tell me about myself that I may

0:16:16.570 --> 0:16:18.790
<v S1>not know? And the idea is it's going to come

0:16:18.790 --> 0:16:21.250
<v S1>back with something and you're going to learn some insights

0:16:21.250 --> 0:16:23.500
<v S1>or whatever. And after it gives you an answer, you

0:16:23.500 --> 0:16:26.350
<v S1>ask it for another thing. What else may I not know?

0:16:26.350 --> 0:16:30.070
<v S1>And then what areas might I be holding myself back?

0:16:30.070 --> 0:16:32.810
<v S1>And here's what I got back. You seem to have

0:16:32.810 --> 0:16:36.860
<v S1>a constant drive to synthesize ideas across different domains, almost

0:16:36.860 --> 0:16:39.620
<v S1>like a mental architect. And as soon as I read,

0:16:39.620 --> 0:16:43.340
<v S1>like the first sentence, I'm like, uh, this feels gross.

0:16:43.370 --> 0:16:45.650
<v S1>I don't like it. And so this is what I

0:16:45.650 --> 0:16:50.000
<v S1>wrote about it in the newsletter yesterday. Basically, it feels

0:16:50.000 --> 0:16:54.110
<v S1>very complimentary and a bit like a horoscope. It feels

0:16:54.110 --> 0:16:56.420
<v S1>like a scam, right? Like it's just trying to make

0:16:56.420 --> 0:17:00.800
<v S1>me feel good about myself now. Simon. Um, I. I

0:17:00.800 --> 0:17:03.140
<v S1>can't remember his last name. Um, I always mess up

0:17:03.140 --> 0:17:05.540
<v S1>his last name. But Simon, he talks a lot about

0:17:05.570 --> 0:17:09.680
<v S1>AI stuff, and he basically had the same exact observation.

0:17:09.680 --> 0:17:13.520
<v S1>And he pointed out, in addition, that it's not actually

0:17:13.520 --> 0:17:18.530
<v S1>doing introspection on all your conversations. Okay, so so what

0:17:18.530 --> 0:17:20.030
<v S1>you actually have to do, if you want to do that,

0:17:20.030 --> 0:17:22.189
<v S1>you have to go get the conversations and send it

0:17:22.190 --> 0:17:26.630
<v S1>in this thing that it built here. I know specifically,

0:17:26.630 --> 0:17:29.180
<v S1>I knew immediately when it came back. It's working off

0:17:29.180 --> 0:17:32.100
<v S1>of my system prompt. So if you are a paid

0:17:32.100 --> 0:17:37.020
<v S1>member and you have anything inside of your your config

0:17:37.020 --> 0:17:41.520
<v S1>for ChatGPT, it's basically here's who I am. Here's how

0:17:41.520 --> 0:17:43.800
<v S1>I would like you to interact with me. Right? So

0:17:43.800 --> 0:17:47.340
<v S1>I have stuff in there that mentions human 3.0. It

0:17:47.340 --> 0:17:50.820
<v S1>mentions like the type of stuff that I'm interested in

0:17:50.820 --> 0:17:53.129
<v S1>because I'm using that to have it shape how it

0:17:53.130 --> 0:17:55.050
<v S1>responds to me when I ask it a question about

0:17:55.050 --> 0:17:58.080
<v S1>whatever I want it to answer me in a specific way.

0:17:58.080 --> 0:18:02.250
<v S1>So all of that is what it's basically going off of.

0:18:02.250 --> 0:18:05.670
<v S1>And it's essentially hallucination. It's making up all of this

0:18:05.670 --> 0:18:09.090
<v S1>stuff to make you feel good. And in fact, if

0:18:09.090 --> 0:18:12.720
<v S1>you go and ask now, um, I think they might

0:18:12.750 --> 0:18:16.170
<v S1>have modified the output and basically said that, no, we

0:18:16.170 --> 0:18:19.020
<v S1>can't give you deep analysis. We don't actually have the

0:18:19.020 --> 0:18:22.470
<v S1>history of all your conversations readily available. You would need

0:18:22.470 --> 0:18:24.629
<v S1>to put them in. It's giving some kind of a

0:18:24.630 --> 0:18:28.990
<v S1>warning to counteract people doing this meme and thinking the

0:18:28.990 --> 0:18:31.990
<v S1>wrong thing about it. But yeah, here's what I wrote

0:18:31.990 --> 0:18:35.920
<v S1>about it yesterday. It's like, well, everyone's going to agree.

0:18:35.920 --> 0:18:38.890
<v S1>If you know, something comes back and it's like, you know,

0:18:38.920 --> 0:18:41.109
<v S1>I just think you're so insightful and you're so smart

0:18:41.109 --> 0:18:43.330
<v S1>and you're trying to help the world and all this,

0:18:43.330 --> 0:18:47.290
<v S1>and it's like, oh, wow, that it's so accurate. It's

0:18:47.290 --> 0:18:49.989
<v S1>so accurate. It really gets me right. This is the

0:18:50.020 --> 0:18:53.109
<v S1>same trick that horoscope and palm reader people use against

0:18:53.109 --> 0:18:57.580
<v S1>you is to, like, just basically find special ways and

0:18:57.580 --> 0:18:59.920
<v S1>unique ways to compliment you. And it's like, oh, I've

0:18:59.920 --> 0:19:03.369
<v S1>never seen how awesome I was before. Thank you. So

0:19:03.400 --> 0:19:07.030
<v S1>I asked people, you know, curious what you get. And

0:19:07.030 --> 0:19:08.830
<v S1>I got back a whole bunch of responses and it

0:19:08.830 --> 0:19:11.230
<v S1>was basically the exact same thing. And a couple of

0:19:11.230 --> 0:19:13.480
<v S1>people responded and said, look, it's just going off the

0:19:13.480 --> 0:19:17.619
<v S1>system prompt. It's just hallucinating. So I think we all

0:19:17.650 --> 0:19:20.859
<v S1>sort of collectively figured out it was kind of lame.

0:19:20.890 --> 0:19:25.000
<v S1>Apple's AI researchers found that llms from meta and OpenAI

0:19:25.030 --> 0:19:28.310
<v S1>struggle with basic reasoning, and they've got a whole paper

0:19:28.310 --> 0:19:31.909
<v S1>basically going into that. I think it's more accurate to

0:19:31.940 --> 0:19:35.030
<v S1>say that it's easy to disrupt the reasoning than to

0:19:35.060 --> 0:19:38.510
<v S1>say it doesn't have any. Geoffrey Hinton, often dubbed godfather

0:19:38.510 --> 0:19:41.719
<v S1>of AI, has won the Nobel Prize in Physics for

0:19:41.720 --> 0:19:45.590
<v S1>early work in neural networks. Congrats to him. And one

0:19:45.590 --> 0:19:48.590
<v S1>thing to notice is that he is in the Doomer camp.

0:19:48.590 --> 0:19:54.050
<v S1>And anytime somebody gets a Nobel Prize for crazy work

0:19:54.050 --> 0:19:58.700
<v S1>in something like really groundbreaking work, you should listen, especially

0:19:58.700 --> 0:20:01.670
<v S1>if they disagree with you. He disagrees with me, so

0:20:01.670 --> 0:20:07.670
<v S1>I'm listening. Musk unveiled Tesla's new robotaxi self-driving electric vehicle

0:20:07.670 --> 0:20:11.270
<v S1>without a steering wheel or pedals at the We Robot event,

0:20:11.270 --> 0:20:14.510
<v S1>and there was so much hate about this. In the

0:20:14.510 --> 0:20:17.149
<v S1>first version that I recorded yesterday, I went into a

0:20:17.150 --> 0:20:20.810
<v S1>whole like political thing, which was too much. I don't

0:20:20.810 --> 0:20:22.399
<v S1>want to do that again here. So I'm going to

0:20:22.400 --> 0:20:25.590
<v S1>try to overview instead of it. I would say that

0:20:25.590 --> 0:20:31.680
<v S1>everyone or most people, most people are very anti like

0:20:31.680 --> 0:20:35.790
<v S1>militantly anti Elon or they think he's like the new

0:20:35.790 --> 0:20:38.820
<v S1>Jesus and I don't feel like there's very many people

0:20:38.820 --> 0:20:42.510
<v S1>who see the subtlety and nuance. And if you go

0:20:42.510 --> 0:20:45.360
<v S1>all the way down to the bottom here, I think

0:20:45.359 --> 0:20:49.980
<v S1>it's because not enough people are reading biographies, right? Biographies,

0:20:49.980 --> 0:20:53.820
<v S1>by definition, are written by or written about people who

0:20:53.820 --> 0:20:56.790
<v S1>have done extraordinary things. And if you go and look

0:20:56.820 --> 0:21:01.230
<v S1>at a whole bunch of inventors like Edison and Tesla

0:21:01.230 --> 0:21:05.190
<v S1>and people like that, um, they tend Ben Franklin, they

0:21:05.190 --> 0:21:09.360
<v S1>tend to be crazy and weird and, like, not take

0:21:09.390 --> 0:21:13.170
<v S1>showers and have weird social interactions and, like, sleep under

0:21:13.170 --> 0:21:19.140
<v S1>their desk and just smell, like, absolutely horrible and all

0:21:19.140 --> 0:21:21.210
<v S1>sorts of things like this. Right? They tend to be

0:21:21.210 --> 0:21:25.690
<v S1>very strange and oftentimes they do bad things, right? And

0:21:25.690 --> 0:21:28.600
<v S1>also they're down on themselves and they have these up

0:21:28.600 --> 0:21:32.649
<v S1>cycles like manic depressive type vibes, or they have a

0:21:32.650 --> 0:21:36.040
<v S1>Jesus complex, or they hate themselves and they think they're

0:21:36.040 --> 0:21:39.190
<v S1>not good enough and they're horribly jealous of everyone. Like

0:21:39.220 --> 0:21:45.730
<v S1>you're not finding horribly stable people, like very regular people, right,

0:21:45.760 --> 0:21:49.419
<v S1>who get biographies written about them. Usually not always the case,

0:21:49.420 --> 0:21:53.080
<v S1>but usually they tend to be kind of weird. And

0:21:53.109 --> 0:21:56.020
<v S1>I think that's important when you look at somebody like Elon,

0:21:56.020 --> 0:21:58.150
<v S1>because I feel like people are looking at it through

0:21:58.150 --> 0:22:03.310
<v S1>the lens of today and what's like considered normal on

0:22:03.310 --> 0:22:08.649
<v S1>X or in, you know, in California or specifically in

0:22:08.650 --> 0:22:13.239
<v S1>San Francisco, in California, like what is considered acceptable behavior.

0:22:13.270 --> 0:22:16.450
<v S1>And I think the question is, if somebody is an

0:22:16.450 --> 0:22:22.250
<v S1>extraordinary creator, which we also have to like, agree on that.

0:22:22.250 --> 0:22:25.220
<v S1>I would say he is, but let's say that you

0:22:25.220 --> 0:22:28.130
<v S1>agree he's an extraordinary creator and you're like, yeah, but

0:22:28.130 --> 0:22:31.190
<v S1>it doesn't matter because he has all these flaws. I

0:22:31.190 --> 0:22:35.030
<v S1>ask you again to look backward at all the different

0:22:35.030 --> 0:22:37.760
<v S1>things that have been created in the world, and what

0:22:37.760 --> 0:22:41.929
<v S1>percentage of those were created by essentially a crazy person,

0:22:41.960 --> 0:22:45.350
<v S1>crazy and or broken and or messed up and or

0:22:45.350 --> 0:22:50.270
<v S1>in need of therapy and or gross or in some way,

0:22:50.300 --> 0:22:54.830
<v S1>you know, counter normal. And I'm not saying excuses, right.

0:22:54.830 --> 0:22:56.659
<v S1>I'm not saying it excuses all the people in the

0:22:56.660 --> 0:23:00.440
<v S1>past either. I'm just saying reality tends to look like this.

0:23:00.440 --> 0:23:04.130
<v S1>So we should keep that in mind. All right. Deals, deals,

0:23:04.130 --> 0:23:07.610
<v S1>sales staff given two days notice to return to office

0:23:07.609 --> 0:23:11.359
<v S1>full time. So I've been talking about this quite a bit. Essentially,

0:23:11.359 --> 0:23:15.020
<v S1>return to office is a way of doing firing essentially

0:23:15.020 --> 0:23:20.060
<v S1>riffs right toe equals riff. Not always, but in many,

0:23:20.070 --> 0:23:23.429
<v S1>many cases. It's like it's a cheating way of doing it.

0:23:23.850 --> 0:23:31.680
<v S1>Co-Founder of Robinhood, Baiju is going to collect and transmit

0:23:31.680 --> 0:23:36.119
<v S1>solar energy using infrared lasers. And he's basically going to

0:23:36.150 --> 0:23:39.090
<v S1>I believe he's going to send the energy back down

0:23:39.090 --> 0:23:40.980
<v S1>to earth using a laser as well. So it'd have

0:23:40.980 --> 0:23:43.350
<v S1>to be like a receiver. And I'm like, well, you

0:23:43.350 --> 0:23:45.330
<v S1>need you would need to be able to target this

0:23:45.330 --> 0:23:49.560
<v S1>receiver while in space, moving very fast, right? Going around

0:23:49.560 --> 0:23:52.590
<v S1>the planet like every hour and a half. That's very,

0:23:52.590 --> 0:23:56.040
<v S1>very fast. But you'd still be able to hit these receivers.

0:23:56.070 --> 0:23:58.590
<v S1>Actually I think they would be geosynchronous. So you wouldn't

0:23:58.619 --> 0:24:02.850
<v S1>actually have to they wouldn't be moving in relation to

0:24:02.850 --> 0:24:07.920
<v S1>the receivers. Maybe not sure. Either way, you are technically

0:24:07.920 --> 0:24:11.580
<v S1>building a space laser, and if you're sending enough energy

0:24:11.580 --> 0:24:14.190
<v S1>to be useful on the ground, you're also sending enough

0:24:14.190 --> 0:24:17.460
<v S1>energy that could potentially be used as a weapon. So

0:24:17.460 --> 0:24:21.760
<v S1>just expect to have at least a questionnaire for the

0:24:21.760 --> 0:24:27.910
<v S1>military and or a request for purchase from the military. U.S.

0:24:27.910 --> 0:24:31.870
<v S1>Department of Justice considering breaking up Google after court said

0:24:31.869 --> 0:24:38.020
<v S1>they've crushed competition. Google Chrome, Android. Yeah, lots of different

0:24:38.020 --> 0:24:41.740
<v S1>products they have potentially. I agree with this. I agree

0:24:41.740 --> 0:24:44.560
<v S1>with Scott Galloway that a lot of these services need

0:24:44.590 --> 0:24:48.310
<v S1>to be broken up, potentially even Apple, even though I

0:24:48.310 --> 0:24:50.530
<v S1>love Apple and I don't think they've really done anything

0:24:50.530 --> 0:24:54.460
<v S1>wrong at some point. It's like a reward. It's basically

0:24:54.460 --> 0:24:57.940
<v S1>saying you are too awesome, therefore we have to break

0:24:57.940 --> 0:25:01.750
<v S1>you up and not necessarily like an indication that you're

0:25:01.750 --> 0:25:04.570
<v S1>a bad person. You know what I mean? Ticketmaster is

0:25:04.570 --> 0:25:08.200
<v S1>the first to use Apple's upgraded wallet tickets for iOS 18,

0:25:08.230 --> 0:25:13.540
<v S1>giving us stuff like venue, maps, parking, music playlists, weather forecasts,

0:25:13.570 --> 0:25:17.750
<v S1>stuff like that, stuff like that. So that's good. Anything

0:25:17.780 --> 0:25:20.959
<v S1>to make Ticketmaster suck less? That's what I wrote. New

0:25:20.960 --> 0:25:25.280
<v S1>HBO documentary claims Canadian crypto expert Peter Todd is the

0:25:25.280 --> 0:25:30.919
<v S1>mysterious inventor of Bitcoin. Satoshi Todd says nope, I was

0:25:30.920 --> 0:25:32.929
<v S1>too busy with school and work at the time, so

0:25:32.930 --> 0:25:35.330
<v S1>it couldn't have been me. Which is exactly what Satoshi

0:25:35.330 --> 0:25:40.310
<v S1>would say for Taiwanese employees at Foxconn's Zhengzhou plant. World's

0:25:40.310 --> 0:25:43.850
<v S1>largest iPhone production facility have been detained by Chinese authorities.

0:25:43.880 --> 0:25:47.600
<v S1>Nobody knows why they assume politics. Humans. Looks like Christopher

0:25:47.600 --> 0:25:52.790
<v S1>Columbus was a Sephardic Jew from Western Europe. I think

0:25:52.790 --> 0:25:56.119
<v S1>they're saying Spain can't remember if he was Spanish or

0:25:56.119 --> 0:25:58.699
<v S1>if he was Portuguese. I can't remember that whole vibe.

0:25:58.700 --> 0:26:02.540
<v S1>But they're saying, yeah, Spanish Jew. And I think Sephardic

0:26:02.540 --> 0:26:05.660
<v S1>means I can't remember exactly. I think it means like

0:26:05.690 --> 0:26:10.250
<v S1>Israeli Jew as opposed to European Jew, which is Ashkenazi.

0:26:10.369 --> 0:26:13.250
<v S1>I believe that's the case. JP Morgan and Wells Fargo

0:26:13.250 --> 0:26:17.800
<v S1>dips in profits. So they say it was geopolitical tension.

0:26:17.800 --> 0:26:21.310
<v S1>I saw Bank of America saying they had something similar happen.

0:26:21.310 --> 0:26:25.000
<v S1>So yeah, banks are sort of struggling. Although I did

0:26:25.000 --> 0:26:28.480
<v S1>see Goldman Sachs say they were doing okay, I believe

0:26:28.540 --> 0:26:32.290
<v S1>I can't remember the details, but some mixed results on

0:26:32.290 --> 0:26:34.540
<v S1>the banks. Your brain changes based on what you did

0:26:34.570 --> 0:26:36.850
<v S1>two weeks ago. So this is basically saying that it's

0:26:36.850 --> 0:26:39.280
<v S1>not just what you did yesterday or the day before,

0:26:39.280 --> 0:26:44.470
<v S1>but that there's like accumulated downsides of having crappy diet

0:26:44.470 --> 0:26:48.370
<v S1>and exercise and sleep over like the course of two weeks.

0:26:48.369 --> 0:26:51.580
<v S1>So pretty cool. I mean, essentially, to me this says

0:26:51.609 --> 0:26:55.750
<v S1>keep doing your routine because like it accumulates, the benefits accumulate.

0:26:55.780 --> 0:27:00.310
<v S1>American Heart Association outlines a strict protocol for taking blood pressure.

0:27:00.310 --> 0:27:03.460
<v S1>They're saying you have to sit calmly with an empty bladder,

0:27:03.460 --> 0:27:06.820
<v S1>and that too many people are measuring right after running

0:27:06.820 --> 0:27:11.290
<v S1>around or while you have to pee. And basically this

0:27:11.290 --> 0:27:15.740
<v S1>this is inflating Leading the hypertension numbers. Boeing is cutting

0:27:15.740 --> 0:27:19.790
<v S1>17,000 jobs, 10% of its workforce. Federal emergency workers in

0:27:19.790 --> 0:27:25.280
<v S1>Rutherford County, North Carolina, were temporarily moved after reports of

0:27:25.280 --> 0:27:29.330
<v S1>an armed militia threatening government personnel, essentially because they think

0:27:29.330 --> 0:27:34.760
<v S1>they helped somehow create the hurricanes. I assume because they

0:27:34.760 --> 0:27:38.510
<v S1>work for the government. Elizabeth Landau says single cell cyanobacteria

0:27:38.540 --> 0:27:42.230
<v S1>can anticipate seasonal changes by sensing day length and preparing

0:27:42.230 --> 0:27:46.399
<v S1>for winter. Single cell organism can sense seasons. That trips

0:27:46.400 --> 0:27:50.209
<v S1>me out and kind of explains how trees start, you know,

0:27:50.240 --> 0:27:53.570
<v S1>turning fall and dropping leaves and all that. United Airlines

0:27:53.600 --> 0:27:58.369
<v S1>is adding new routes to lesser known destinations like Bilbao, Faro, Madeira,

0:27:58.400 --> 0:28:02.210
<v S1>Sicily and Newark trying to get away from crowded hotspots.

0:28:02.240 --> 0:28:05.480
<v S1>Essentially got some journals from Alexei Navalny while he was

0:28:05.480 --> 0:28:08.780
<v S1>in prison, for he died in prison. Retail sales have

0:28:08.780 --> 0:28:14.200
<v S1>dropped from 7.5 to 7% of employment over the last decade,

0:28:14.200 --> 0:28:21.070
<v S1>losing 850,000 positions despite the US adding 19 million jobs overall.

0:28:21.100 --> 0:28:24.100
<v S1>Looks like Wegovy and Zepp bound might have been the

0:28:24.100 --> 0:28:28.150
<v S1>cause of US adult obesity rate, dropping by two percentage

0:28:28.150 --> 0:28:33.130
<v S1>points from 2020 to 2023. And speaking of that, new

0:28:33.160 --> 0:28:36.909
<v S1>GLP one weight loss drugs are coming in pill form

0:28:36.910 --> 0:28:42.580
<v S1>soon to basically replace the weekly injections. Dhairya Karwa Mirza,

0:28:42.610 --> 0:28:49.000
<v S1>self-taught Kurdish astrophotographer. Look at this image that she took. Extraordinary.

0:28:49.030 --> 0:28:52.180
<v S1>Absolutely extraordinary. Look at that. Isn't that cool? Looks kind

0:28:52.180 --> 0:28:55.450
<v S1>of oblong. Not sure why. Maybe the shadow. Anyway, very

0:28:55.450 --> 0:29:00.250
<v S1>cool ideas. Gullibility. Not disinformation. So I don't think the

0:29:00.280 --> 0:29:03.160
<v S1>US has a misinformation problem. I think it has a

0:29:03.190 --> 0:29:06.490
<v S1>gullibility problem. It's not that we're being fed too much crap,

0:29:06.490 --> 0:29:09.070
<v S1>it's the fact that we're actually eating it. Some two

0:29:09.070 --> 0:29:11.980
<v S1>large number of Republicans now believe that the Democrats are

0:29:11.980 --> 0:29:14.860
<v S1>sending hurricanes to Florida because it's election time. That's a

0:29:14.860 --> 0:29:19.570
<v S1>population problem, an education problem, not a conspiracy theory problem.

0:29:19.570 --> 0:29:22.990
<v S1>So in infosec terms, we need to reduce our vulnerability,

0:29:23.020 --> 0:29:26.230
<v S1>not try to get all the threats removed. Right. Because

0:29:26.230 --> 0:29:28.090
<v S1>the threats will always be there. And in fact, the

0:29:28.090 --> 0:29:30.040
<v S1>threats are going to get better. The only chance of

0:29:30.040 --> 0:29:34.690
<v S1>actually fixing this is education about how the world actually works.

0:29:34.720 --> 0:29:37.930
<v S1>And unfortunately, the far left and the far right seem

0:29:37.930 --> 0:29:41.140
<v S1>to have like lost touch with that, like the basic

0:29:41.140 --> 0:29:43.990
<v S1>facts of reality, because it's not just the far right

0:29:43.990 --> 0:29:47.560
<v S1>that's doing this, right. Remember the anti-vax thing that was

0:29:47.590 --> 0:29:50.860
<v S1>far left before it was far right? It was far left.

0:29:50.860 --> 0:29:53.320
<v S1>And then Covid happened and then the far right jumped on.

0:29:53.320 --> 0:29:55.330
<v S1>And I guess now the far left and the far

0:29:55.330 --> 0:29:59.770
<v S1>right are anti-vax. Not really sure, but the point is

0:29:59.770 --> 0:30:03.310
<v S1>we have a vulnerability, which is a lack of education

0:30:03.310 --> 0:30:06.100
<v S1>and a lack of understanding of how the world works.

0:30:06.100 --> 0:30:10.190
<v S1>That's the vulnerability. Threats are things like misinformation. We can

0:30:10.190 --> 0:30:13.670
<v S1>have a threat and not be vulnerable, and we still

0:30:13.670 --> 0:30:18.170
<v S1>have lower risk. So that's the vibe there. Discovery swarm,

0:30:18.170 --> 0:30:23.510
<v S1>OpenAI's new experimental framework for building and orchestrating multi-agent systems,

0:30:23.540 --> 0:30:26.090
<v S1>feels a lot like long chain to me. I didn't

0:30:26.090 --> 0:30:29.630
<v S1>see so many benefits. I'm going to mess with it.

0:30:29.630 --> 0:30:33.170
<v S1>More command tools. I like really good set of tools here.

0:30:33.200 --> 0:30:40.400
<v S1>RFT Delta tldr s-oxide http I fcf. Yeah, lots of

0:30:40.400 --> 0:30:44.600
<v S1>different tools here Xvm better vim mode for ssh. I'm

0:30:44.600 --> 0:30:49.160
<v S1>sorry for zsh. Love this thing. It's syntax highlighting. It's

0:30:49.160 --> 0:30:53.810
<v S1>basically a full featured version of vim on the command line,

0:30:53.810 --> 0:30:57.980
<v S1>so I use vim mode for my zsh have been

0:30:57.980 --> 0:31:00.980
<v S1>for years, but this gives you like syntax highlighting. It

0:31:00.980 --> 0:31:03.560
<v S1>gives you the ability to use like the surround plugin,

0:31:03.560 --> 0:31:08.610
<v S1>all kinds of stuff. Theano 3.0 AI powered API documentation tool.

0:31:08.610 --> 0:31:12.510
<v S1>I updated my post on dynamic content generation. I think

0:31:12.510 --> 0:31:17.520
<v S1>this is going to be insanely disruptive to so many industries.

0:31:17.550 --> 0:31:20.220
<v S1>Highly recommend you go check that out. Essentially, what it

0:31:20.220 --> 0:31:23.790
<v S1>means is people are going to produce raw content. Like

0:31:23.790 --> 0:31:27.780
<v S1>for example, this is raw content of a full podcast, right?

0:31:27.810 --> 0:31:31.350
<v S1>And this has got me in this bottom right here

0:31:31.350 --> 0:31:34.230
<v S1>talking to the camera. And let's say this, this whole

0:31:34.230 --> 0:31:38.280
<v S1>episode is like 20 minutes long. Well, let's say that, um,

0:31:38.310 --> 0:31:43.350
<v S1>you have a, like a five minute bus ride or

0:31:43.350 --> 0:31:45.510
<v S1>a five minute bike ride, or you're waiting in line

0:31:45.510 --> 0:31:48.330
<v S1>for five minutes or whatever. And and this is like,

0:31:48.360 --> 0:31:50.670
<v S1>I don't know, three, five, five years in the future.

0:31:50.670 --> 0:31:53.250
<v S1>And you're like, hey, I want a summary. What did

0:31:53.250 --> 0:31:56.010
<v S1>Daniel put in his podcast yesterday? Your AI is not

0:31:56.010 --> 0:31:58.650
<v S1>going to go and find the video and speed it up.

0:31:58.650 --> 0:32:02.220
<v S1>In fact, your AI is just going to read, watch,

0:32:02.250 --> 0:32:05.720
<v S1>consume the whole video if it hasn't already, and it's

0:32:05.720 --> 0:32:09.530
<v S1>going to make a version of it. Maybe it's my face,

0:32:09.530 --> 0:32:12.290
<v S1>maybe it's me in a video. Maybe it's only audio

0:32:12.290 --> 0:32:15.050
<v S1>because they can actually look at anything right now. But anyway,

0:32:15.050 --> 0:32:17.990
<v S1>it's going to play in your ear a five minute version.

0:32:17.990 --> 0:32:20.120
<v S1>It's going to pick the best stuff out of here

0:32:20.120 --> 0:32:22.010
<v S1>that you actually care about. How is it going to

0:32:22.010 --> 0:32:25.400
<v S1>do that? Because your eye knows you. Your eye knows

0:32:25.400 --> 0:32:27.830
<v S1>what parts of these which which of these stories are

0:32:27.830 --> 0:32:31.070
<v S1>actually good or most pertinent to you. It's going to

0:32:31.070 --> 0:32:33.770
<v S1>take out the garbage. It doesn't like those stories, thinks

0:32:33.770 --> 0:32:37.100
<v S1>they're dumb, thinks it was filler or whatever, and it's

0:32:37.100 --> 0:32:39.890
<v S1>going to build a clean little clip. It could be

0:32:39.890 --> 0:32:42.320
<v S1>a 32nd clip, but it could be read in the

0:32:42.320 --> 0:32:46.490
<v S1>voice of Richard Feynman. It could be read in the

0:32:46.490 --> 0:32:49.790
<v S1>voice of Agatha Christie. It could be it could be anyone.

0:32:49.790 --> 0:32:53.150
<v S1>It could be Taylor Swift. Right. Telling you the news

0:32:53.150 --> 0:32:57.770
<v S1>that that came out of the Unsupervised Learning podcast. Point is,

0:32:57.770 --> 0:33:01.400
<v S1>your eye is going to be giving you content in

0:33:01.400 --> 0:33:05.840
<v S1>any format, in any presenter deepfaked exactly the way you

0:33:05.840 --> 0:33:12.440
<v S1>want it from 10s to giant series. Okay, the original content,

0:33:12.440 --> 0:33:15.710
<v S1>which lives in a textbook somewhere, or in some YouTube

0:33:15.710 --> 0:33:19.670
<v S1>video or in some blog post. That original content you

0:33:19.670 --> 0:33:22.700
<v S1>never have to mess with again. Your AI is going

0:33:22.730 --> 0:33:25.610
<v S1>to consume all of that and then dynamically build the

0:33:25.610 --> 0:33:29.180
<v S1>content for their principal. So that's the idea there. Augment

0:33:29.180 --> 0:33:33.320
<v S1>UI use AI to prototype front end designs. Software engineer

0:33:33.350 --> 0:33:36.950
<v S1>pay heatmap across the US, the digits of pi are

0:33:36.950 --> 0:33:40.160
<v S1>not random. Passbook lets you create an Apple Wallet, pass

0:33:40.160 --> 0:33:43.100
<v S1>from any QR code and export it to wallet. How

0:33:43.100 --> 0:33:46.250
<v S1>I animate three blue one Brown. It's one of my

0:33:46.250 --> 0:33:49.940
<v S1>favorite YouTubers, describes a whole bunch of science stuff and

0:33:49.940 --> 0:33:52.940
<v S1>recommendation of the week. If you want to calm your

0:33:52.940 --> 0:33:56.060
<v S1>nerves during this next month and a half going into

0:33:56.060 --> 0:34:00.200
<v S1>this election, go read about the Civil Rights movement and

0:34:00.200 --> 0:34:03.810
<v S1>how disruptive that was to politics in the US. And

0:34:03.810 --> 0:34:06.390
<v S1>it was actually, in a lot of ways, way worse

0:34:06.390 --> 0:34:10.080
<v S1>than what we're seeing today. So we survived that really

0:34:10.080 --> 0:34:16.020
<v S1>bad stuff. We probably will again survive this election cycle, probably.

0:34:16.020 --> 0:34:18.360
<v S1>And the aphorism of the week, what is to give

0:34:18.390 --> 0:34:23.670
<v S1>light must endure burning. What is to give light must

0:34:23.700 --> 0:34:29.279
<v S1>endure burning Viktor Frankl. Unsupervised learning is produced and edited

0:34:29.280 --> 0:34:33.750
<v S1>by Daniel Miessler on a Neumann U87 AI microphone using Hindenburg.

0:34:34.170 --> 0:34:37.110
<v S1>Intro and outro music is by zombie with a Y.

0:34:37.710 --> 0:34:39.989
<v S1>And to get the text and links from this episode,

0:34:39.989 --> 0:34:42.240
<v S1>sign up for the newsletter version of the show at

0:34:42.239 --> 0:34:47.010
<v S1>Daniel miessler.com/newsletter. We'll see you next time.