WEBVTT - UL NO. 458: Ollama Vulnerabilities, Rating AI Using AI, The Mantis Hack-back Framework

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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. This is Daniel Miessler, and I'm building

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<v S1>AI to upgrade humans. This is episode 458 of the

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<v S1>podcast Unsupervised Learning. And let's jump into it. So just

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<v S1>created my first fabric stitch, which is a combination of

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<v S1>fabric things all piped into each other to produce a result.

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<v S1>In this case, the name of the stitch is called

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<v S1>rate AI result, and it's actually running a pattern called

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<v S1>rate AI result as well. But what it is doing,

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<v S1>I will just click over there real quick. What it

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<v S1>is doing is actually see here it is actually using

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<v S1>a smart AI to rate a less smart I. So

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<v S1>this is the infrastructure that it's using. I'm actually going

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<v S1>to do a full write up on this. Well this

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<v S1>is the full write up. But I'm going to do

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<v S1>a standalone video on this. So you don't have to

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<v S1>necessarily worry about not getting everything here. So basically you

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<v S1>have your smartest AI on top. It's judging the judged

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<v S1>AI and the input and the prompt that it's given

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<v S1>and it's producing a result. Then you take the input,

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<v S1>the prompt and the results, and you send all of

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<v S1>that to the smarter AI, which is the judge. And

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<v S1>then what it does is it gives you an output

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<v S1>like this. It tells you is this at the level

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<v S1>of an uneducated human, a secondary, educated human, high school level, bachelor's, master's, PhD,

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<v S1>world class, human or superhuman. And it's giving you that

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<v S1>rating for whatever that task is. What's cool is that

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<v S1>this is universal. So it's not a just a summarization

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<v S1>one or just a threat modeling one. It looks at

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<v S1>the task that you've given it, and it looks at

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<v S1>the input, and it looks at the output, and it

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<v S1>judges universally for any task that you've given it for

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<v S1>any particular AI. It's basically saying that somebody at this

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<v S1>level would have been able to do it about that. Good.

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<v S1>So that was pretty exciting. I'm happy with the results

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<v S1>so far. Look forward to anyone being able to improve it. Okay. Um,

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<v S1>let's see here. Going back to the podcast. Yeah, I'm

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<v S1>going to be sending out the newsletter from newsletter at

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<v S1>Unsupervised learning.com instead of Daniel at Daniel. Com so just

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<v S1>go ahead and add newsletter at Unsupervised learning.com to your

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<v S1>contact list just so it won't get forwarded to a

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<v S1>bad folder. And I'm entering the fiber world. This is

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<v S1>pretty exciting. Upgraded to five gigabit fiber to the house.

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<v S1>And so I'm doing a whole bunch of stuff with, uh,

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<v S1>ten Gigabit Ethernet. So you got to do a bunch

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<v S1>of stuff on your switching, right? Because if you just

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<v S1>have it coming into the house, it doesn't mean it's

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<v S1>going to make it to your computer. So you have

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<v S1>your switches and your firewalls and your wall wiring, and

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<v S1>all the way to your device has to be able

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<v S1>to support that faster speed. So ten gigabit is pretty

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<v S1>much what most consumer hardware can go up to now.

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<v S1>The Mac studio that I use actually already has ten

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<v S1>gigabit in it. And for something else you can get,

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<v S1>like if it has USB and it's fairly modern, you

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<v S1>can get like a USB connector, like USB-C connector that

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<v S1>is actually a ten gigabit, uh, translator. So to be

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<v S1>able to handle that, ten gigabit, even if your Nic

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<v S1>card natively built into the system cannot. But anyway, here's

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<v S1>what I'm getting down and up now, basically 4.6 gigabit.

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<v S1>So it's supposed to be five. I'm going to try

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<v S1>to get it up to five. But uh, 4600 is

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<v S1>not bad at all. And I'm going to keep upgrading

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<v S1>stuff like in the walls and different switches and stuff

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<v S1>like that and see how fast we can go. And

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<v S1>had a great sponsor conversation with my best bud, Jason

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<v S1>Haddox with flare. We talked about a whole bunch of stuff,

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<v S1>but especially why he likes flare and why he thinks

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<v S1>it's the best out there for threat intelligence. So definitely

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<v S1>go check that video out and let's jump into security.

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<v S1>So six critical flaws have been found in Olama AI framework,

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<v S1>potentially allowing denial of service or model theft or poisoning attacks.

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<v S1>And remember, don't put your olama online. A lot of

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<v S1>people know that you can olama natively. It publishes APIs

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<v S1>so you can call the different models that you create.

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<v S1>So if you go get a model from hugging face

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<v S1>and you put it in a llama and you spin

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<v S1>it up, well, now there's an API that can listen

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<v S1>and answer requests, and you could do some cool stuff there,

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<v S1>but do not make that public unless you really, really

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<v S1>know what you're doing and you have auth and all

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<v S1>that kind of stuff because it could be bad as

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<v S1>we see here, we actually have vulnerabilities here. FBI is

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<v S1>warning about a rise in hacked police emails being used

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<v S1>to send fake subpoenas and emergency data requests. That's the

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<v S1>trick one, right? Emergency data requests. So it looks like

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<v S1>it's coming from a reputable place that has authority, like

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<v S1>a police department. So of course you're going to turn

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<v S1>over the data, right? I think this is a pretty

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<v S1>nasty general attack here, which is you find a low

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<v S1>security organization that's like understaffed in cyber, like a police department.

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<v S1>Then you send emails from the police department to a

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<v S1>place that you want to get data from, and then

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<v S1>they turn it over thinking that they have to. So

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<v S1>I think this is a general thing, and I think

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<v S1>police departments, also law firms, might be likely to respond

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<v S1>to this, although maybe they'll be smarter about asking more

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<v S1>questions anyway. I think it's a general interesting type of attack.

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<v S1>Google's AI security assessment tool, Bigsleep, found a zero day

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<v S1>vulnerability in SQLite, and it's the first time we've really seen.

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<v S1>I find something that in production software that hasn't been

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<v S1>found via another method. Right. Because they've done fuzzing on

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<v S1>this thing or fuzzing has been done on this thing,

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<v S1>I'm sure, many times. And this is a good example

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<v S1>of a AI actually finding something. So I mean, I

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<v S1>always thought that this was inevitable. I still think it's

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<v S1>inevitable that this is going to become like the main

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<v S1>way of finding things. But yeah, Google found it in

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<v S1>the real world. FBI is asking for public help in

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<v S1>identifying Chinese hacker, uh, hackers in groups like apt 31

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<v S1>and APT. 41. CrowdStrike has launched a new AI Red

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<v S1>team service to identify vulnerabilities in AI systems. So they've

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<v S1>spun up an AI security consultancy. Kind of strange inside

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<v S1>of CrowdStrike itself, which does endpoint protection, Synology is telling

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<v S1>its users to patch a critical zero click RC bug

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<v S1>affecting millions of disk, station and Photos NAS devices. Why

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<v S1>are the NAS devices online? Friends don't friend. Friends don't

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<v S1>let friends put NAS devices online. It is really nasty.

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<v S1>It's like the worst thing you could put online. Not

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<v S1>because they're the most vulnerable, which they are quite vulnerable

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<v S1>as we've seen. But that's not the real reason. The

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<v S1>real reason is it's a combination of how vulnerable is

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<v S1>it versus how sensitive is it a NAS network attached,

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<v S1>attached storage? It tends to have lots of really sensitive

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<v S1>stuff in it. So you need to be really careful

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<v S1>with what you do with that thing. And putting it

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<v S1>on online is not really careful. All right. Nokia is

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<v S1>investigating potential breach after a hacker Intel broker claimed to

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<v S1>have stolen their source code from a third party vendor.

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<v S1>Canada has ordered TikTok Technology Canada to shut down for

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<v S1>national security reasons, but doesn't actually block Canadians from using TikTok,

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<v S1>which is what I think most people think when they

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<v S1>see this story. It's actually just shutting down the Canadian

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<v S1>business operations. Researchers from GMU, George Mason University, have introduced

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<v S1>Mantis framework that uses prompt injections to hack back against

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<v S1>prompt injection. I'm not usually a fan of hack back stuff,

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<v S1>but I do like the exploration here. US is tightening

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<v S1>rules on foreign real estate deals near military bases, adding

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<v S1>60 more installations to the list. And this is after

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<v S1>basically the military found China buying a whole bunch of

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<v S1>land around military bases to do crypto mining. And they're like, uh,

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<v S1>I don't think we like this. So there's now laws

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<v S1>in place to stop them from doing that. In some cases,

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<v S1>AI and tech robotic dogs are now patrolling Mar-A-Lago to

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<v S1>help protect president elect Trump. These high tech hounds are

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<v S1>part of the Astro program equipped with surveillance tech and sensors.

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<v S1>So if we open that one up. Yeah. Look at

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<v S1>these things. This is just like the Black Mirror episode.

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<v S1>Look at that. Scary little things. Now, if it's just

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<v S1>one and you're like, oh, there's probably dumb. It's only 2024.

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<v S1>What happens when it's 2026 and it's got guns on it?

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<v S1>And what happens when it's not one, but it's like

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<v S1>700 and you could just like point a laser pointer

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<v S1>on something and be like, get em. And they just

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<v S1>swarm and start firing. Sounds like sci fi. It's not

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<v S1>really going to be sci fi. And China is crushing

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<v S1>in the drone market. They're building these things so fast.

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<v S1>They're really good at them. Look at DJI. Its number

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<v S1>one drone company in the world, at least on the

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<v S1>consumer side. So this is something we have to watch. Yeah.

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<v S1>What I said here is 2025 and 2026 are going

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<v S1>to become some serious utopia slash dystopia years. Lots of

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<v S1>sci fi happening except for in actual reality, Nvidia surpassed

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<v S1>Apple to become the world's largest company by market cap

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<v S1>3.43 trillion. And that might have gone up or down.

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<v S1>Since that was written, OpenAI has introduced new feature called

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<v S1>predicted outputs lets you send expected content to speed up

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<v S1>API responses. I like this stuff similar to the caching stuff.

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<v S1>I like the little tweaks that are helping you day

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<v S1>to day, especially save some money. Waymo has launched its

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<v S1>robotaxi service across 80 square mile area in and around

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<v S1>Los Angeles. What is going on? Why can't we have

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<v S1>this for the whole Bay area? They did San Francisco

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<v S1>and they just left. Come on, we need it for

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<v S1>the whole Bay area. Apple's adding a new feature to

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<v S1>find my in iOS 8.2. So basically if you lose

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<v S1>your bag or your bag, your luggage doesn't get to

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<v S1>your destination in some foreign country, you can actually send

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<v S1>an AirTag for your bag to the airline so the

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<v S1>airline can actually find it inside the airport. I think

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<v S1>that's super cool. Apple Vision Pro. Vision Pro's Vision OS 2.2. Yeah.

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<v S1>Look at this thing.

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<v S2>The full size scopes with everything else. It's like having

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<v S2>a two monitor set up. Look at this. Better create

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<v S2>a lot more space for those in my I've used

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<v S2>this here. Almost have a full size video and a

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<v S2>full size scopes with everything else. It's like having a

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<v S2>two monitor set up, but better. So let's take this

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<v S2>to the logical extreme and go ultra wide. Look at that.

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<v S1>Wow, it's bent around you.

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<v S2>This is kind of amazing. Actually. I don't know that

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<v S2>using completely crazy.

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<v S1>Completely crazy. And actually the ultra one is too large.

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<v S1>Excuse me? You can't actually, you can't actually look at

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<v S1>this thing. You have to turn your head all the

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<v S1>way around it. So just the the bigger one, like

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<v S1>the middle one is actually the one that I use.

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<v S1>And they've made it so that it's not always in

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<v S1>focus wherever you, wherever for the whole screen, because that

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<v S1>would be too difficult. Right. So what happens is when

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<v S1>wherever you move your eyes, it comes into crystal clear focus.

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<v S1>And I'm looking at a really high quality monitor right now.

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<v S1>Actually it's the Apple monitor. It looks just as good

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<v S1>as that. It really does. It looks just as good

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<v S1>as like the six K Apple monitor once you focus

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<v S1>on it. Because I mean it's it's sending light right

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<v S1>into your eye. Right. So it's pretty good at it.

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<v S1>And it's crazy how fast it is too. Because when

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<v S1>you're moving your eyes around very quickly, first of all,

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<v S1>it knows exactly where you're looking. And it just takes

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<v S1>that spot and just crystallizes it. Really, really cool. It's

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<v S1>like it's like the most practical thing that I've done

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<v S1>actually with the Vision Pro, because mostly it's entertainment and

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<v S1>like playing with different apps. But this is the killer

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<v S1>app I've been waiting for. Is productivity an actual super

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<v S1>wide screen? TSMC is opening up its fab in Arizona

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<v S1>in December, So that's going to be cool for Onshoring

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<v S1>in the US. TSMC is halting the supply of advanced

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<v S1>AI processors to Chinese clients starting in November. Well, already

0:13:06.080 --> 0:13:09.290
<v S1>happened a couple of days ago following an investigation showing

0:13:09.320 --> 0:13:13.459
<v S1>chips were ending up in Huawei devices. Humans dollars at

0:13:13.460 --> 0:13:18.230
<v S1>its highest point in two years. Stock market going crazy. Uh, yeah.

0:13:18.260 --> 0:13:22.610
<v S1>Bitcoin over 90,000. Yeah, I did predict that Trump was

0:13:22.610 --> 0:13:24.920
<v S1>going to win and that investors were going to go crazy,

0:13:24.920 --> 0:13:26.150
<v S1>but I didn't think it was going to be this

0:13:26.150 --> 0:13:30.710
<v S1>crazy and this soon. Andreessen Horowitz is backing AI powered

0:13:30.710 --> 0:13:37.040
<v S1>parenting tools, with Justine Moore highlighting she's a partner on

0:13:37.040 --> 0:13:41.599
<v S1>this thing. New wave of parenting co-pilots I like this,

0:13:41.600 --> 0:13:44.449
<v S1>I like this, so my kid is doing this. What

0:13:44.450 --> 0:13:47.059
<v S1>should I do? And what I like about that is like, okay,

0:13:47.090 --> 0:13:50.090
<v S1>what would a helicopter parent do? What is like an

0:13:50.090 --> 0:13:53.300
<v S1>eastern way of doing this? What's a European way of

0:13:53.300 --> 0:13:56.810
<v S1>doing this. What is a modern US West Coast way

0:13:56.809 --> 0:14:00.110
<v S1>of doing this? So it's like you're hearing a bunch

0:14:00.110 --> 0:14:03.320
<v S1>of experts because nobody really knows how to raise kids, right?

0:14:03.320 --> 0:14:06.650
<v S1>It's very, very customized. Very there's not a perfect one

0:14:06.650 --> 0:14:09.199
<v S1>way to do it. Right. So I don't have kids,

0:14:09.200 --> 0:14:12.170
<v S1>but if I did, I would want to know, what

0:14:12.170 --> 0:14:15.410
<v S1>do the people who tend to raise the best kids,

0:14:15.500 --> 0:14:19.280
<v S1>what is their long term cultural way of handling this

0:14:19.280 --> 0:14:22.670
<v S1>particular problem? And AI is amazing for that. So that

0:14:22.670 --> 0:14:26.660
<v S1>seems pretty, uh, pretty cool. My buddies participating in a

0:14:26.660 --> 0:14:29.720
<v S1>real life bug bounty. Actually, it's actually a treasure hunt,

0:14:29.720 --> 0:14:32.660
<v S1>which is very similar to a bug bounty. So my buddy,

0:14:32.750 --> 0:14:35.900
<v S1>he's been going out to an island, and he's meeting

0:14:35.900 --> 0:14:39.830
<v S1>his other top bug bounty friend out there, and they're

0:14:39.830 --> 0:14:43.910
<v S1>actually looking for treasure. The treasure is worth half $1 million.

0:14:43.910 --> 0:14:49.040
<v S1>And this book that's coming out, I think it's already out, actually, um,

0:14:49.070 --> 0:14:51.200
<v S1>I'm going to click on this book. Yeah. It's called

0:14:51.200 --> 0:14:54.979
<v S1>There's Treasure Inside. Okay. So it's all about this person

0:14:54.980 --> 0:14:59.450
<v S1>who's launching these treasure hunts with tons, like millions of

0:14:59.450 --> 0:15:02.180
<v S1>dollars of prizes. And they're really hard to find. And

0:15:02.180 --> 0:15:04.370
<v S1>you have to travel there and you have to follow clues.

0:15:04.370 --> 0:15:07.820
<v S1>It's like puzzles. And I was talking to my buddy

0:15:07.820 --> 0:15:10.010
<v S1>about this, and it's like it's very similar to Bug Bounty,

0:15:10.010 --> 0:15:12.590
<v S1>where it's like, there's this joy of, you're the first

0:15:12.590 --> 0:15:15.410
<v S1>one to find this thing, and you get paid money

0:15:15.410 --> 0:15:19.489
<v S1>as a result of finding it. It's like very it like,

0:15:19.490 --> 0:15:22.730
<v S1>revives your childhood to be chasing something in this way.

0:15:22.730 --> 0:15:25.370
<v S1>So I think it's really cool. And he agreed with

0:15:25.370 --> 0:15:28.760
<v S1>that assessment. Genetic discrimination becoming a real thing as we

0:15:28.790 --> 0:15:32.960
<v S1>knew it would. Insurers use DNA data to deny coverage

0:15:32.960 --> 0:15:36.530
<v S1>or to raise prices. So this guy, Bill, who was

0:15:36.560 --> 0:15:40.670
<v S1>a healthy 60 year old, was denied long term care

0:15:40.670 --> 0:15:45.020
<v S1>insurance after he submitted his genetic stuff and it found

0:15:45.020 --> 0:15:49.250
<v S1>a genetic mutation linked to ALS. So he didn't have

0:15:49.250 --> 0:15:52.100
<v S1>the disease, but they were like, yeah, you can't get

0:15:52.100 --> 0:15:55.229
<v S1>this coverage because your genetics say you might get it.

0:15:55.230 --> 0:15:57.930
<v S1>Companies are already moving production out of China as Trump

0:15:57.930 --> 0:16:02.880
<v S1>plans massive tariffs. So Steve Madden cutting China made products

0:16:02.880 --> 0:16:07.980
<v S1>by 40 to 45%, shifting to Vietnam and Cambodia. Stanley

0:16:07.980 --> 0:16:13.590
<v S1>Black and Decker reworking its supply chain and H&amp;M manufacturing.

0:16:13.590 --> 0:16:17.400
<v S1>And crews are eyeing increased U.S. production. Seems like the

0:16:17.400 --> 0:16:22.980
<v S1>tariffs could work in multiple ways. It definitely has a deterrent.

0:16:22.980 --> 0:16:25.620
<v S1>The way I'm excited about it is people wanted to

0:16:25.650 --> 0:16:28.560
<v S1>move to us onshoring, or they wanted to move out

0:16:28.560 --> 0:16:31.290
<v S1>of China or whatever, which everyone in the West kind

0:16:31.320 --> 0:16:34.950
<v S1>of wants to, but they're like, it's just too we

0:16:34.950 --> 0:16:37.260
<v S1>can't do it yet. We can't do it yet. I

0:16:37.260 --> 0:16:39.030
<v S1>want to do it, but I can't do it yet.

0:16:39.030 --> 0:16:43.800
<v S1>And this just pushes people. It pushes people to be like, okay, well,

0:16:44.130 --> 0:16:46.530
<v S1>now I might as well because I'm going to I

0:16:46.530 --> 0:16:49.230
<v S1>might get charged all this money to, to have to

0:16:49.260 --> 0:16:52.260
<v S1>use China. So now it might actually be worth the

0:16:52.260 --> 0:16:57.080
<v S1>money to switch. So hopefully the new administration doesn't go

0:16:57.080 --> 0:17:00.710
<v S1>crazy with this because it actually will cause inflation because

0:17:00.710 --> 0:17:03.800
<v S1>it'll just be more expensive for everyone to buy things.

0:17:03.830 --> 0:17:07.160
<v S1>And Elon talked about this recently and he's like, you

0:17:07.160 --> 0:17:09.170
<v S1>can't do too many of these and you can't do

0:17:09.170 --> 0:17:12.470
<v S1>them too quickly or you will break things. So you

0:17:12.470 --> 0:17:15.260
<v S1>have to be careful with them. But just the idea

0:17:15.260 --> 0:17:17.810
<v S1>of being out there, I think is going to have

0:17:17.810 --> 0:17:21.320
<v S1>the effect that they actually want. NASA's Juno spacecraft just

0:17:21.320 --> 0:17:26.510
<v S1>completed 66th flyby of Jupiter, sending back stunning images. Look

0:17:26.540 --> 0:17:30.560
<v S1>at this stuff. This is crazy. Look at these. That's ridiculous.

0:17:30.590 --> 0:17:32.990
<v S1>Isn't that gorgeous? Is that the spot or is that

0:17:32.990 --> 0:17:36.139
<v S1>just a different spot? I thought the spot was red. Well,

0:17:36.140 --> 0:17:38.660
<v S1>these are different colors anyway. But look at that. Isn't

0:17:38.660 --> 0:17:41.660
<v S1>that amazing? Look at this. These are all storms. Yeah.

0:17:41.690 --> 0:17:45.379
<v S1>Just gorgeous. Man, I love astronomy. Yeah, that's. These are

0:17:45.380 --> 0:17:47.960
<v S1>all spots. But I don't think. I don't think maybe

0:17:47.960 --> 0:17:50.990
<v S1>these are the big red spot. In this case, blue spot.

0:17:50.990 --> 0:17:53.730
<v S1>But that's definitely not it. That's a different one. Yeah,

0:17:53.820 --> 0:17:58.170
<v S1>really cool DNA Dikmen's Leaving and Waving is a brilliant

0:17:58.170 --> 0:18:01.470
<v S1>and touching photo series capturing her parents waving goodbye over

0:18:01.470 --> 0:18:03.990
<v S1>the years. Look at this thing. Look at this. Isn't

0:18:03.990 --> 0:18:07.440
<v S1>this cool? All these captures of them waving goodbye. And

0:18:07.440 --> 0:18:11.070
<v S1>presumably this is like, while she's growing up. Oh, look

0:18:11.100 --> 0:18:14.580
<v S1>at that. Switches from black and white to color. Yeah, really,

0:18:14.580 --> 0:18:17.790
<v S1>really cool. I love this kind of stuff. New study

0:18:17.790 --> 0:18:21.840
<v S1>from Ben-Gurion University shows that controlling blood sugar can slow

0:18:21.840 --> 0:18:27.359
<v S1>brain aging. Yeah, sugar, inflammation, brain aging. These are getting

0:18:27.359 --> 0:18:30.450
<v S1>more and more linked. And yeah, the science here is

0:18:30.480 --> 0:18:37.050
<v S1>is getting pretty solid. Astrobiologist Sara Imari Walker explores the

0:18:37.050 --> 0:18:40.110
<v S1>complex questions of what life truly is in her book,

0:18:40.109 --> 0:18:43.770
<v S1>Life as No One Knows It physics of Life's emergence.

0:18:43.770 --> 0:18:46.470
<v S1>This is on my list might be a candidate for

0:18:46.470 --> 0:18:50.100
<v S1>the UL Book Club as well. She says that modern

0:18:50.100 --> 0:18:52.510
<v S1>science is yet to develop a theory that fully integrates

0:18:52.510 --> 0:18:56.770
<v S1>life into the universe's description. Yeah, I love this life

0:18:56.770 --> 0:18:59.710
<v S1>emergent stuff. A mom in Georgia was jailed after her

0:18:59.710 --> 0:19:03.040
<v S1>11 year old son walked alone to town, despite the

0:19:03.040 --> 0:19:05.110
<v S1>fact that she was doing this on purpose because she

0:19:05.109 --> 0:19:09.310
<v S1>believes in free range upbringing. I'd love for this libertarian

0:19:09.310 --> 0:19:12.669
<v S1>mindset of like, yeah, just leave me alone to manage

0:19:12.670 --> 0:19:16.840
<v S1>whatever to actually come to these places, right? Because here

0:19:16.840 --> 0:19:21.700
<v S1>they are in Georgia, which should be libertarian, right? And no,

0:19:21.700 --> 0:19:25.390
<v S1>she went to jail. The mom went to jail. I mean,

0:19:25.390 --> 0:19:27.280
<v S1>I grew up in the 80s. I used to walk

0:19:27.280 --> 0:19:29.980
<v S1>around all over the place. I could ride my bike anywhere.

0:19:29.980 --> 0:19:32.620
<v S1>I just had to be back before the streetlights came on.

0:19:32.619 --> 0:19:35.380
<v S1>Or you get your ass whipped. I mean, that's that's

0:19:35.380 --> 0:19:37.510
<v S1>that's the way it's supposed to work. Not really. You

0:19:37.510 --> 0:19:39.850
<v S1>would get in trouble. Our average age of US home

0:19:39.880 --> 0:19:44.290
<v S1>buyers jumped to 56. 56 years old for an average

0:19:44.290 --> 0:19:49.270
<v S1>home buyer. It was 49. This needs to be, like 29.

0:19:49.300 --> 0:19:52.740
<v S1>What is going on? 56 that is way too old.

0:19:52.740 --> 0:19:55.199
<v S1>Oliver Sacks explores the meaning of life through love and

0:19:55.200 --> 0:19:59.010
<v S1>despair in his letters, emphasizing that meaning is something we create,

0:19:59.040 --> 0:20:05.550
<v S1>not find. Marginalien. This is Maria Popova project. Really, really

0:20:05.550 --> 0:20:08.610
<v S1>cool and this is a great write up here. Excuse me. Ideas.

0:20:08.609 --> 0:20:12.720
<v S1>Crypto is back, but it's mostly as gambling and money stores,

0:20:12.750 --> 0:20:14.760
<v S1>and not so much on what it was promising with

0:20:14.790 --> 0:20:21.659
<v S1>like Ethereum. Although maybe Solana might be still like an

0:20:21.660 --> 0:20:25.680
<v S1>Ethereum type vibe. It's basically like fast Ethereum. And I

0:20:25.680 --> 0:20:28.800
<v S1>got a prediction here about this whole election thing, which

0:20:28.890 --> 0:20:32.250
<v S1>I'm purposely not talking too much about right now. I

0:20:32.250 --> 0:20:35.310
<v S1>actually think a lot of good can come from the

0:20:35.310 --> 0:20:43.740
<v S1>whole Elon Andreessen, Thiel, Trump, uh, Vivek Ramaswamy, like all

0:20:43.740 --> 0:20:47.790
<v S1>this stuff. I think all this stuff could go horribly bad.

0:20:47.790 --> 0:20:51.230
<v S1>I voted for Harris, by the way, because of election

0:20:51.230 --> 0:20:55.550
<v S1>denial essentially is the main reason um, wasn't happy with

0:20:55.580 --> 0:20:59.810
<v S1>Harris or the campaign or anything like that, but I yeah, anyway,

0:20:59.810 --> 0:21:01.280
<v S1>I'm not going to go into that too much. The

0:21:01.280 --> 0:21:04.609
<v S1>point is, now that this has happened, I'm trying to

0:21:04.609 --> 0:21:08.899
<v S1>be optimistic. I see no alternative other than being optimistic.

0:21:08.930 --> 0:21:13.160
<v S1>And I believe that a lot of these people Thiel,

0:21:13.190 --> 0:21:18.139
<v S1>Elon Andreessen, um, Rogan these are Bernie loving people. These

0:21:18.140 --> 0:21:23.540
<v S1>are populists. These are long time liberals. Trump is a

0:21:23.570 --> 0:21:27.679
<v S1>long time liberal. Trump is a previous Democrat, been a

0:21:27.680 --> 0:21:31.520
<v S1>Democrat his whole life. And he switched over. In my opinion,

0:21:31.520 --> 0:21:34.189
<v S1>a lot of these people switched over and kind of

0:21:34.220 --> 0:21:38.240
<v S1>like got triggered and went crazy because of the crazy left.

0:21:38.240 --> 0:21:41.750
<v S1>So my hope is and this is wishful thinking, I

0:21:41.750 --> 0:21:44.930
<v S1>understand that. My hope is we're going to see a

0:21:44.930 --> 0:21:49.390
<v S1>lot of good come out of these folks. Hopefully. Okay.

0:21:49.420 --> 0:21:53.500
<v S1>So watch this reduction of government, this whole dodge thing.

0:21:53.500 --> 0:21:55.390
<v S1>It's kind of a gimmick, but I think they might

0:21:55.420 --> 0:21:58.659
<v S1>actually do some cool stuff with it. Like, what if

0:21:58.690 --> 0:22:00.820
<v S1>a whole lot more of our money that we were

0:22:00.820 --> 0:22:05.290
<v S1>spending in taxes? What if that became 50% more effective

0:22:05.290 --> 0:22:09.609
<v S1>or 25% more effective, or 75% more effective? I think

0:22:09.609 --> 0:22:15.129
<v S1>we could have maybe clean streets, maybe nice roads, fewer potholes,

0:22:15.160 --> 0:22:20.199
<v S1>actual infrastructure get built. My hope and my belief, optimistic

0:22:20.200 --> 0:22:26.290
<v S1>belief is that these people, including possibly even Trump, are

0:22:26.290 --> 0:22:30.220
<v S1>actually trying to raise the bottom. They are actually actually

0:22:30.220 --> 0:22:34.510
<v S1>trying to raise everyone, not just their friends. There's no

0:22:34.510 --> 0:22:38.679
<v S1>question that a lot of their decisions are very selfish

0:22:38.680 --> 0:22:43.000
<v S1>and very focused on their business and very opportunistic. No question.

0:22:43.000 --> 0:22:46.330
<v S1>Everyone knows that. I mean, that's most people do that.

0:22:46.359 --> 0:22:49.960
<v S1>The question is the balance between these things. So my

0:22:49.990 --> 0:22:52.720
<v S1>thing is, if they're sitting on a razor's edge somewhere

0:22:52.720 --> 0:22:55.510
<v S1>in the middle or the middle, right? And they could

0:22:55.540 --> 0:23:00.639
<v S1>become crazy, right? People, or they could fall back towards

0:23:00.640 --> 0:23:04.840
<v S1>the center and actually be positive and try to lift everyone.

0:23:04.869 --> 0:23:07.180
<v S1>And a lot of these AI people, they're trying to

0:23:07.210 --> 0:23:13.750
<v S1>create free abundance. Okay. Free shelter, free food, not free,

0:23:13.750 --> 0:23:17.830
<v S1>but very, very cheap. Okay. Easy to make very, very

0:23:17.830 --> 0:23:22.389
<v S1>cheap things. Why? Because of AGI? Because of ASI. Because

0:23:22.390 --> 0:23:25.210
<v S1>a lot of these things have the ability to remove

0:23:25.210 --> 0:23:29.109
<v S1>how expensive it is for the whole world to have

0:23:29.109 --> 0:23:33.760
<v S1>what the best people in the world have. Right? Um, so,

0:23:33.760 --> 0:23:37.389
<v S1>so basically you have like the best health care, right?

0:23:37.390 --> 0:23:42.580
<v S1>The best, um, the best education. So you have Harvard education,

0:23:42.580 --> 0:23:46.960
<v S1>you have the best health care policy you could possibly have,

0:23:46.990 --> 0:23:51.830
<v S1>like Kaiser or whatever you have, um, PPO or something

0:23:51.830 --> 0:23:56.180
<v S1>like that. The best of everything. Why can't everyone have that?

0:23:56.210 --> 0:23:58.880
<v S1>Why is only why do only a few people go

0:23:58.880 --> 0:24:03.200
<v S1>to Stanford or Harvard? Right? So the promise of this

0:24:03.200 --> 0:24:06.830
<v S1>AI stuff is to be able to give that education

0:24:06.830 --> 0:24:10.250
<v S1>to everyone via like an AI agent, something that's always

0:24:10.250 --> 0:24:14.119
<v S1>with you. Abundant energy. Right. Not having these wars over

0:24:14.150 --> 0:24:17.180
<v S1>oil because they're solar farms everywhere. And we already have

0:24:17.180 --> 0:24:21.770
<v S1>enough energy. It's done. Solved problem. I helped us with that.

0:24:21.800 --> 0:24:25.550
<v S1>AGI helped us. Maybe ASI helped us. Doesn't matter. The

0:24:25.550 --> 0:24:29.389
<v S1>point is, you never have to need something. Okay, now,

0:24:29.390 --> 0:24:31.370
<v S1>now we have a meaning crisis. We're going to have

0:24:31.369 --> 0:24:32.930
<v S1>to figure out what we're actually going to do with

0:24:32.930 --> 0:24:36.859
<v S1>ourselves after that. But the point is, I think a

0:24:36.890 --> 0:24:39.469
<v S1>lot of these people are actually going for that better future.

0:24:39.500 --> 0:24:41.419
<v S1>A lot of these people, I think, are actually going

0:24:41.420 --> 0:24:44.929
<v S1>for the Star Trek The Next Generation model, which is

0:24:44.930 --> 0:24:47.600
<v S1>what I'm going after. And again, maybe it's about to

0:24:47.630 --> 0:24:51.190
<v S1>get really bad because it's going to go full authoritarian.

0:24:51.190 --> 0:24:54.700
<v S1>It's going to go full fascist. Maybe it will, and

0:24:54.700 --> 0:24:58.300
<v S1>I'm very worried that it will. Okay. It's very possible

0:24:58.300 --> 0:25:01.720
<v S1>that they got triggered and they're never coming back. Okay.

0:25:01.750 --> 0:25:05.440
<v S1>I actually talked to Sam Harris about this. Um, and

0:25:05.440 --> 0:25:07.540
<v S1>I'm not going to say anything that he said that

0:25:07.540 --> 0:25:10.690
<v S1>he didn't say in his podcast, but I responded to

0:25:10.720 --> 0:25:15.010
<v S1>him after he did that reckoning podcast. And, um, he

0:25:15.010 --> 0:25:17.800
<v S1>basically said, I think they're gone in the podcast. I

0:25:17.800 --> 0:25:20.139
<v S1>think they're gone and it's going to get really bad.

0:25:20.140 --> 0:25:23.080
<v S1>And so I challenged him on that with basically this argument,

0:25:23.080 --> 0:25:26.410
<v S1>and he thinks I'm wrong. He is my favorite thinker.

0:25:26.410 --> 0:25:29.920
<v S1>He is the smartest person I believe out there right

0:25:29.920 --> 0:25:33.490
<v S1>now in terms of like his ability to see things

0:25:33.490 --> 0:25:38.199
<v S1>and articulate them. He's just like God tier to me, um,

0:25:38.260 --> 0:25:41.020
<v S1>always has been. I feel like I've caught up in

0:25:41.020 --> 0:25:44.470
<v S1>a lot of ways, but he still sees things extremely clearly,

0:25:44.470 --> 0:25:47.350
<v S1>and the fact that he doesn't believe me is troubling

0:25:47.380 --> 0:25:49.700
<v S1>to me. I actually can't find anyone who believes me

0:25:49.700 --> 0:25:52.550
<v S1>about this particular thing. They're like, oh, so are you

0:25:52.550 --> 0:25:54.920
<v S1>going right with them? I'm like, no, I'm staying where

0:25:54.920 --> 0:25:58.340
<v S1>I'm staying. I am a Star Trek Next Generation liberal.

0:25:58.340 --> 0:26:01.430
<v S1>This is where I'm going to be. But I do

0:26:01.430 --> 0:26:06.770
<v S1>believe in conservative methods of achieving liberal goals. Okay. So

0:26:06.770 --> 0:26:10.520
<v S1>I'm trying to find optimism here. And here's what I'm

0:26:10.520 --> 0:26:13.250
<v S1>offering to you. Here's what I'm asking of you. If

0:26:13.250 --> 0:26:17.000
<v S1>you are like me and you were in this liberal center,

0:26:17.000 --> 0:26:20.120
<v S1>so you've moved away from the left because they're crazy,

0:26:20.150 --> 0:26:23.000
<v S1>you're not going to the right because they're crazy. You're

0:26:23.000 --> 0:26:27.859
<v S1>here in this, this first principles. Think through the problem

0:26:27.859 --> 0:26:31.910
<v S1>situation in the center somewhere. I'm asking you to consider

0:26:31.910 --> 0:26:35.240
<v S1>that these people might actually be trying to be doing

0:26:35.240 --> 0:26:38.210
<v S1>good things. And I think this comes down to what

0:26:38.210 --> 0:26:40.610
<v S1>I think a big problem in our politics is right

0:26:40.609 --> 0:26:45.650
<v S1>now is assuming the absolute worst, assuming that they are going,

0:26:45.680 --> 0:26:50.710
<v S1>they're just sitting somewhere right now doing Mr. Burns like, conniving, like,

0:26:50.710 --> 0:26:54.100
<v S1>how can we ruin the entire bottom 90%? We're just

0:26:54.100 --> 0:26:56.619
<v S1>going to make this amazing world for the top 10%

0:26:56.619 --> 0:26:59.200
<v S1>of all our friends. And it's just going to be rich.

0:26:59.200 --> 0:27:03.280
<v S1>People rule everything, and we're going to do, you know, eugenics.

0:27:03.280 --> 0:27:05.830
<v S1>And it's just I don't think they're trying to do that,

0:27:05.830 --> 0:27:08.740
<v S1>I really don't. I think they're capable of doing that.

0:27:08.740 --> 0:27:12.490
<v S1>Especially Trump is capable of doing that if pushed in

0:27:12.490 --> 0:27:15.340
<v S1>the wrong way. If ego gets involved, like we've already

0:27:15.340 --> 0:27:19.180
<v S1>seen him do some horrific stuff and very stupid stuff.

0:27:19.180 --> 0:27:22.300
<v S1>Bottom line, I'm trying to be optimistic, and I'm asking

0:27:22.300 --> 0:27:25.690
<v S1>you to consider trying to be so as well. It's

0:27:25.690 --> 0:27:30.010
<v S1>it discovery. Security is a useless controls problem. This is

0:27:30.010 --> 0:27:32.050
<v S1>a must read. You got to read this thing even

0:27:32.050 --> 0:27:35.590
<v S1>if you don't. You don't agree. Chain forge, open source

0:27:35.590 --> 0:27:39.550
<v S1>visual programming tool. This is like Yahoo pipes for running

0:27:39.550 --> 0:27:43.750
<v S1>evaluations against prompts. Have it messed with this fully. In fact,

0:27:43.750 --> 0:27:46.540
<v S1>I'm going to open another tab. But from what I

0:27:46.570 --> 0:27:50.929
<v S1>looked at before, uh, looks pretty cool. And I love

0:27:50.930 --> 0:27:53.750
<v S1>the Yahoo pipes like design mechanism. How do you run

0:27:53.750 --> 0:27:57.350
<v S1>away from an army of these? Yeah. You don't watch

0:27:57.350 --> 0:28:00.200
<v S1>this thing. Look at this thing. Dir. Dir. Dir. This

0:28:00.200 --> 0:28:03.410
<v S1>is exactly like the Black Mirror episode. Except for this

0:28:03.410 --> 0:28:06.740
<v S1>thing is faster and scarier. Okay, it could do backflips.

0:28:06.740 --> 0:28:11.390
<v S1>Not scary at all. Yep. So just imagine you're a soldier.

0:28:11.390 --> 0:28:14.510
<v S1>You went through basic training. Some eight. You did some.

0:28:14.510 --> 0:28:17.600
<v S1>What's it called? You go out and you see, like

0:28:17.600 --> 0:28:20.480
<v S1>over the mountain. You just see thousands of these things

0:28:20.510 --> 0:28:24.980
<v S1>pour over, except for they're bigger with bigger muscles, bigger

0:28:24.980 --> 0:28:28.790
<v S1>battery packs. Oh, and they got guns. Cool, cool. It's

0:28:28.790 --> 0:28:31.220
<v S1>gonna be a problem, I'm telling you. I just put

0:28:31.220 --> 0:28:34.190
<v S1>it on. Uh, x the other day. We really need

0:28:34.190 --> 0:28:36.859
<v S1>to be thinking about Anti-drone stuff. And there's a company

0:28:36.859 --> 0:28:41.360
<v S1>called Anduril. Andrill not sure how to pronounce it, but

0:28:41.360 --> 0:28:44.450
<v S1>they are definitely thinking a lot of drone stuff. Um,

0:28:44.450 --> 0:28:47.610
<v S1>some people sent me some links saying the Navy's thinking

0:28:47.610 --> 0:28:53.040
<v S1>about this, because here's the problem. F-35s, carrier fleets, aircraft

0:28:53.040 --> 0:28:58.860
<v S1>carriers themselves, they're very vulnerable to being swarmed by small drones,

0:28:58.860 --> 0:29:03.840
<v S1>especially autonomous drones. That can't be, like, jammed. A very

0:29:03.840 --> 0:29:06.210
<v S1>serious problem to worry about. And by the way, I

0:29:06.210 --> 0:29:10.050
<v S1>keep recommending this book. It's called Kill Decision by Daniel Suarez.

0:29:10.080 --> 0:29:14.070
<v S1>Definitely want to check that out. Um, he basically talks

0:29:14.070 --> 0:29:15.690
<v S1>about a lot of the stuff in sort of a

0:29:15.690 --> 0:29:18.780
<v S1>fiction sense, but it gives you a vibe for why

0:29:18.780 --> 0:29:23.190
<v S1>it's pretty scary. Toolkit smart name set of scripts that

0:29:23.190 --> 0:29:26.460
<v S1>allow new sub commands to get. I cluster using Mac

0:29:26.460 --> 0:29:28.830
<v S1>Minis and XO labs. This is probably what I'm going

0:29:28.860 --> 0:29:32.520
<v S1>to build my next AI rig on. Maybe. Maybe it

0:29:32.520 --> 0:29:35.340
<v S1>depends how the whole game is. But uh, yeah, you

0:29:35.340 --> 0:29:38.310
<v S1>could do like Thunderbolt five and connect these things together.

0:29:38.310 --> 0:29:41.370
<v S1>Then you use this project called XO labs and it

0:29:41.370 --> 0:29:44.160
<v S1>actually links them all together. How I ship products at

0:29:44.160 --> 0:29:48.440
<v S1>Big Tech companies. Diagrams tool for creating diagrams as code.

0:29:48.470 --> 0:29:52.459
<v S1>Everything I've learned so far about running local LMS, Patrick

0:29:52.490 --> 0:29:55.790
<v S1>or no, I keep wanting to say the author, but

0:29:55.790 --> 0:30:00.440
<v S1>Patrick McCormick encourages readers to spend less time doomscrolling and

0:30:00.440 --> 0:30:05.390
<v S1>more time reading books, drawing audio. New musical sketchpad using

0:30:05.390 --> 0:30:10.250
<v S1>web audio API. Create music directly in your browser. Recommendation

0:30:10.280 --> 0:30:13.820
<v S1>of the week. The CEO of anthropic thinks AGI is

0:30:13.820 --> 0:30:16.640
<v S1>coming within a couple of years. Sam Altman thinks it's

0:30:16.640 --> 0:30:20.930
<v S1>25 or 26. I've already said it was 25 to 26.

0:30:20.930 --> 0:30:25.670
<v S1>I said that in 2003. So these numbers are probably

0:30:25.670 --> 0:30:30.380
<v S1>getting real. Of course, it does depend on your definition,

0:30:30.380 --> 0:30:34.370
<v S1>but my recommendation to you, given that AGI is coming,

0:30:34.370 --> 0:30:38.390
<v S1>start getting ready. Know your life mission. Know your goals.

0:30:38.390 --> 0:30:42.980
<v S1>Fill in in practice your most important sentence. Which is

0:30:42.980 --> 0:30:45.350
<v S1>this right here. I believe one of the biggest problems

0:30:45.350 --> 0:30:48.570
<v S1>in the world is X, which is why I'm building,

0:30:48.570 --> 0:30:54.630
<v S1>creating or doing Y. So fill in that sentence for yourself.

0:30:54.630 --> 0:30:57.420
<v S1>Start building your telos file. Get really good with your

0:30:57.420 --> 0:31:02.010
<v S1>AI tools like fabric ChatGPT whatever you're using. Get your

0:31:02.010 --> 0:31:07.500
<v S1>website up. Commit to reading 50 books in 2025 and

0:31:07.500 --> 0:31:11.850
<v S1>hit me up if you need book recommendations. And most importantly,

0:31:11.850 --> 0:31:14.670
<v S1>start writing. Even if you think you don't have anything

0:31:14.700 --> 0:31:17.550
<v S1>to say. Once you start reading this many books, you're

0:31:17.550 --> 0:31:19.800
<v S1>going to have something to say, especially if you have

0:31:19.800 --> 0:31:22.320
<v S1>your Telos file up. You know your goals. You know

0:31:22.320 --> 0:31:25.320
<v S1>your life mission. It's going to be like a particle accelerator.

0:31:25.350 --> 0:31:27.810
<v S1>Things are going to smash into your brain. Ideas are

0:31:27.810 --> 0:31:30.060
<v S1>just going to start flying off, and then you just

0:31:30.060 --> 0:31:32.550
<v S1>start writing online and you're like, hey, wouldn't it be

0:31:32.550 --> 0:31:35.130
<v S1>cool if this hey, what about this? Someone's like, hey,

0:31:35.130 --> 0:31:37.380
<v S1>that's stupid. This is why it's stupid. You're like, oh,

0:31:37.410 --> 0:31:41.850
<v S1>that's true. Yeah. Good point. Pretty soon you're learning publicly,

0:31:41.850 --> 0:31:46.250
<v S1>live in real time and you can just build a

0:31:46.250 --> 0:31:49.340
<v S1>lot of new intelligence based on that. And the aphorism

0:31:49.370 --> 0:31:51.980
<v S1>of the week, if you were offered $1 million not

0:31:51.980 --> 0:31:54.890
<v S1>to wake up tomorrow, you would not take it. Which

0:31:54.890 --> 0:31:59.420
<v S1>means waking up tomorrow is worth more than $1 million.

0:31:59.540 --> 0:32:02.030
<v S1>So treat it that way. If you were offered $1

0:32:02.030 --> 0:32:04.850
<v S1>million not to wake up tomorrow, you would not take it.

0:32:04.850 --> 0:32:09.200
<v S1>Which means waking up tomorrow is worth more than $1 million.

0:32:09.200 --> 0:32:12.920
<v S1>So treat it that way. See you next time. Unsupervised

0:32:12.920 --> 0:32:15.440
<v S1>learning is produced and edited by Daniel Miessler on a

0:32:15.440 --> 0:32:20.300
<v S1>Neumann U87 AI microphone using Hindenburg. Intro and outro music

0:32:20.300 --> 0:32:23.390
<v S1>is by zombie with a Y. And to get the

0:32:23.390 --> 0:32:25.459
<v S1>text and links from this episode, sign up for the

0:32:25.460 --> 0:32:31.100
<v S1>newsletter version of the show at Daniel miessler.com/newsletter. We'll see

0:32:31.100 --> 0:32:31.880
<v S1>you next time.