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S1: to Unsupervised Learning, a security, I and meaning focused podcast
S1: that looks at how best to thrive as humans in
S1: a post AI world. It combines original ideas, analysis and
S1: mental models to bring not just the news, but why
S1: it matters and how to respond. All right, welcome to
S1: unsupervised learning. This is Daniel. Okay. The first AI breaches.
S1: What do we have here? Oh. Saw the comet last night. Yeah.
S1: This is really cool. It's been out for a little while.
S1: It's actually going to be out for a few more days,
S1: and I think it's getting a little less bright, but.
S1: And coming out a little bit later each day, I
S1: think maybe like 10 or 15 minutes later each day.
S1: But my girl took this very, very cool, very, very cool. Uh,
S1: she actually spotted it with her, um, naked eyes at first.
S1: She was the first one to see it, and then
S1: we all started pointing cameras and binoculars at it, but
S1: she actually captured this with, um, her iPhone 16 Pro,
S1: so not bad at all. Yeah, basically, the iPhone catches
S1: a lot more than the naked eye, and she used
S1: light or night mode and also long exposure. And yeah,
S1: it looks pretty good. Uh, it's an 80 000 year
S1: orbit time for this particular comet. And, uh, the head there,
S1: which was quite bright, is about two miles across, and
S1: the tail is something like 18 million miles long. And
S1: for reference, it's 8 million miles to the sun. So it's.
S1: What is that? Almost three times two and a half times.
S1: The tail is two and a half times the distance
S1: from the Earth to the sun. And the head is
S1: two miles wide. And it won't be back for another
S1: 80,000 years. She's like, I guess we won't see it again.
S1: I'm like, I don't know, eat your greens, gotta Good
S1: exercise every day. You never know how long you can live. Okay, so, uh. Yeah.
S1: Wrote a tutorial on how to use any hugging face
S1: model with a llama. So I want to open this
S1: up real quick. It's a super quick tutorial. I'm actually
S1: I think I already recorded the video as well. Yeah,
S1: I think I already recorded the video as well, so
S1: it should be a video soon. But look at this.
S1: It's super simple. You go to the models page on
S1: hugging Face. You basically get the URL. You click on
S1: this right here, files and versions, which you can see here.
S1: You get one of these files like I got the
S1: smaller one, the four gig one. You edit a model
S1: file and this is all you have to put in there.
S1: Look at this. It's insane. So you basically do um,
S1: from is all you need actually is from. Okay. And
S1: then you just put the path to the file and
S1: then if you want to add a system, um, prompt
S1: you can. So that's that's pretty much it. And you
S1: don't need a system prompt. Okay. You can just use
S1: the user prompt which is what you send into the model.
S1: But then you do this this command here. So so
S1: again we're trying to get a llama to run all
S1: these models. So once you have this model file it's saved.
S1: You just do this little command right here and then
S1: this this name that you give it. Lexi writer or Lexi,
S1: writer or writer or whatever you want to call it.
S1: You just give it a llama create writer. Okay, so
S1: you just made its own model. This takes like one
S1: second to complete this little piece right here. And then
S1: you run llama run in the name of the model
S1: you created. Llama run. Writer. Llama run. Lexi. Writer, whatever
S1: it is. And now you're actually talking to that model,
S1: that hugging face model that you just downloaded. So this
S1: entire process might be like three minutes. Five minutes, right?
S1: Depends how long it takes you to download The the file.
S1: So you just went from having like a couple of
S1: dozen models available inside of a llama to having tens
S1: of thousands or hundreds of thousands. So really, really cool.
S1: And my buddy Marcus Hutchins and I disagree about Elon,
S1: about a couple of things about his politics. Um, well,
S1: we we agree on his politics. I just think Elon's
S1: going to come back. I think he's still liberal. I'm
S1: hoping he's still liberal. Um, I would say I'm hoping
S1: he's liberal. Not a liberal. Not a current liberal. Um,
S1: but I'm hoping he's more balanced. I believe he's more balanced.
S1: And he's going to return. Marcus thinks he is Sith.
S1: He is turned Sith. He is straight, far right, and
S1: he's not coming back. And I want to say, I
S1: do agree that that's possible and I'm worried about it,
S1: but I'm hoping it's not the case. And I think
S1: it's not the case. I think after a bunch of
S1: this craziness blows over in the next year or two
S1: that he will start showing his his more liberal and
S1: balanced side, that that's my hope. He also believes that
S1: Ellen is basically I don't want to put too many
S1: words in his mouth, but I think he believes that
S1: he's not a true innovator. He got lucky. A lot
S1: of his stuff is garbage. Um, it's just like there's
S1: there's no way any of this is going to go
S1: well for him. Tesla is going to be basically bankrupt
S1: within a year or two, I believe, he said. And
S1: I've got a link to the whole conversation we had.
S1: And we were we were texting on the side as
S1: well during this. Um, and then basically I'm like, hey, look,
S1: should we bet on this? Um, and so he offered
S1: a couple of bets and I said, I need these
S1: to be measurable. So I offered three measurable bets. One,
S1: the Tesla stock would hit 250. Um, you know, it
S1: would hit that point by June 30th. So middle of
S1: next year it would hit 250. End of next year
S1: it will have hit $300 at least once. It would
S1: have got to that point. Um, and I actually think
S1: it's going to be higher, but I just wanted to
S1: have it 250 and 300. And then that Elon would,
S1: in a liberal way, in a principled way that defends
S1: something around anti-authoritarianism, something freedom oriented. In other words, Trump
S1: would be on the wrong side of this and Elon
S1: would be on the right side of it, the correct
S1: side of it. And I argued that that would happen
S1: by the end of next year. Okay. So that's three
S1: different bets, each for $1,000. And uh, he accepted. So
S1: we got three bets out there. Kind of reminds me
S1: of this thing that I've been obsessed with lately, which
S1: are these prediction markets. Which one is manifold? I forget
S1: the name of the other one starts with a P, but, um, yeah,
S1: pretty excited about these. I've barely started messing around with them,
S1: but I feel like I want to use them more. Okay.
S1: I did a talk for a UN group called Ypo,
S1: which is a intellectual property, and it went really well.
S1: And I want to thank Olivia Fabrizi, I believe, is
S1: how you pronounce her last name for being not just
S1: a great host, but actually, really, she has some really
S1: great questions. She seems very interested in all this AI stuff,
S1: very knowledgeable, and she was kind enough to host us
S1: in this. And yeah, it was great. It was great conversation.
S1: I listened back to the talk which which I hadn't
S1: done before, and it seemed like it went pretty well
S1: and good questions at the end. So I encourage you
S1: to check that out. Thanks to Nudge Security for sponsoring
S1: and let's get into security. Okay, so an attacker accessed moi.
S1: I don't know how you pronounce that. Moi, moi. I
S1: feel like you could have done a better job with
S1: the name, but, um. AI chatbot database. Okay, so this
S1: is I've been talking about this for a long time.
S1: A lot of people who are anti I have been
S1: talking about this, but I am obviously pro AI. But
S1: I absolutely believe this is going to happen. It already
S1: has happened and it's going to get worse. This AI
S1: chatbot database is full of like basically AI girlfriends is
S1: is the vibe that I'm getting. In fact, let's let's
S1: go pull it up. What are we doing? This is
S1: why we have video. All right. Select your login. Don't
S1: think so. Okay. Yeah. Notice any, um, notice any trends here?
S1: How many guys do we have here? Is this a guy?
S1: I think the bottom left. We got a guy. Top
S1: right or top left? We have a guy. Uh, I'm
S1: not sure on this one. And then the rest are
S1: all girls looking a little young. Honestly, uh, if I'm
S1: being frank here, but anyway. Um. Avatars. Okay, so basically,
S1: it's avatars. It's Companions. This whole scene is getting really
S1: big an eye for lots of reasons. There's companionship, but obviously,
S1: I mean, this whole girlfriend sex like fantasy angle is
S1: is so obvious and it's so obvious that that's where
S1: a lot of attention was going to go, both from
S1: the user side but also on the builder side. And
S1: so this company, their database got breached sensitive user interactions.
S1: It had the chat history okay. So the user sign
S1: up you look look at this. You sign up with
S1: you look look it's got federated logins okay. These are
S1: your actual user accounts okay. So people sign up with
S1: their user accounts. Like if I click on this okay
S1: I'm going to click on it I'm signing up with
S1: my real stuff okay. If I sign up with this.
S1: And then I have this chat with this, this avatar,
S1: this AI over there and whatever I say on there.
S1: And now that's what gets compromised. Okay. So including sexual fantasies,
S1: and the user accounts were linked to people's personal addresses.
S1: I mean, it's so obvious that this was going to
S1: happen and it is now happening. It's going to be
S1: it's going to be nasty, right? So input validation issues,
S1: prompt injection, all of that. But the vast majority of
S1: damage this is what I'm saying afterwards will come from
S1: customers giving their souls essentially to small startups in the
S1: AI assistant AI girlfriend space. This doesn't have to be
S1: like a sexual fantasy thing. It could be trauma. It
S1: could be somebody using it as there's other sites just
S1: like this, but it's more therapy oriented. So it's like
S1: you have a best friend to talk to you and
S1: you're talking about your favorite show and blah, blah, blah,
S1: and like, you develop this relationship with it, but you
S1: might have been saying some really nasty stuff about your
S1: parents or about whatever, maybe about your friends, right? Maybe
S1: you're really sad and you think your friend stabbed you
S1: in the back or whatever. So you're talking all this
S1: crap about them and that gets released. I mean, we're
S1: talking about intimacy here. It doesn't have to be of
S1: a sexual, you know, sort of flavor. Right. So we're
S1: talking about the the closest form of intimacy, which is
S1: what you have with like this friend, you you can
S1: tell anything and you can't tell anyone else. A lot
S1: of people, they don't have any friends. So this is
S1: like their only friend. So you give it your trauma,
S1: your political opinions. Yeah. Fantasies, whatever. And they totally get you.
S1: But this, it might be like a nine person startup.
S1: They have no security. Right. I mean, startups get hacked
S1: so easily. It's so easy to hack one of these
S1: little startups. They have no security, they don't know how
S1: to do security. And once they do, I mean, think
S1: about the extortion campaigns here, right? Assuming the people have money,
S1: which a lot some of them will and some of
S1: them won't. But but I mean, you could just be like, hey,
S1: here's a clip from this thing you were talking with
S1: your avatar or whatever. You shared this trauma that you had.
S1: You shared this talking crap about your friend. Um, I mean,
S1: there's just so much possibility here for malicious use by
S1: an attacker who gets hold of one of these databases.
S1: So something to think about, Castillo says. A ransomware attack
S1: led to a theft of sensitive data. I mean, 200GB.
S1: They said it wasn't credit card info, but basically, Castillo
S1: got breached. Miter introduced caldera bug bounty hunter plugin horizon three.
S1: Researchers detailed how they identified new vulns in Palo Alto,
S1: and they went all the way to full system compromise.
S1: And there's patches out for that. Wayback machine got breached
S1: six gigabytes of a SQL database, 31 million user records,
S1: sites still down, but they're working to get it back up.
S1: Researchers from Eset have discovered two sophisticated tool sets used
S1: by nation state groups to go after airgapped devices. I
S1: see Airgap, I think Israel, but they're saying this is
S1: possibly Russian drop zone. Thanks again for sponsoring. Cybernews says
S1: Google's Pixel nine Pro sends data packets to Google every
S1: 15 minutes, including location, email and phone number, even with
S1: GPS off. And they're using Wi-Fi to to estimate location.
S1: UNODC warns that Southeast Asian scammers are using deepfakes to
S1: enhance pig pig butchering. Yea, pig butchering these. These are nasty.
S1: It's basically someone builds a relationship with you over a
S1: period of time, and basically, especially for older people who
S1: are lonely and who have money, obviously. Um, so basically
S1: you become their friend, then this person gets in distress
S1: and you're like, oh, I can send you money. And
S1: that's kind of how it's done. Usually. Salt typhoon Chinese
S1: group exploited backdoors meant for lawful data requests Ukraine has
S1: sentenced two hackers linked to Russia's FSB and the Armageddon
S1: Group to 15 years for cyber attacks on state institutions
S1: in absentia. So they're not there. They don't have these people,
S1: but they have called them out and sentenced them regardless.
S1: OpenAI has stopped another 20 foreign operations using its stuff
S1: to sway political opinions and meddle in elections. They said
S1: they haven't seen any really nasty malware being created because
S1: they have a lot of a lot of protections built
S1: in for that. So that's that's good news. But still
S1: being used for. Yeah, to try to influence campaigns. Basically
S1: private intelligence groups like Recorded Future and Flashpoint are changing
S1: intelligence by leveraging tons of data from the internet, including
S1: dark web. And I love this. I love this vibe
S1: of small companies competing with corporations and small Intel groups
S1: competing with, like, you know, big Intel groups. In some ways,
S1: study says popular car brands like Hyundai, Kia and Tesla
S1: are collecting driver data, including voice recognition and camera footage,
S1: and sharing it with third parties. I'm going to look
S1: more into this because I'm curious how much Tesla is
S1: sharing because I have a Tesla myself. Pentagon said the
S1: US will send a third missile defense system to Israel,
S1: along with 100 troops, just to operate it to improve
S1: defense against Iran. Okay, so AI tech, if you use ChatGPT,
S1: try this prompt just for fun. So this is a
S1: meme or whatever that's going around. And essentially what it
S1: is is it's saying go into ChatGPT and ask it
S1: from all of our interactions together. What is the one
S1: thing you could tell me about myself that I may
S1: not know? And the idea is it's going to come
S1: back with something and you're going to learn some insights
S1: or whatever. And after it gives you an answer, you
S1: ask it for another thing. What else may I not know?
S1: And then what areas might I be holding myself back?
S1: And here's what I got back. You seem to have
S1: a constant drive to synthesize ideas across different domains, almost
S1: like a mental architect. And as soon as I read,
S1: like the first sentence, I'm like, uh, this feels gross.
S1: I don't like it. And so this is what I
S1: wrote about it in the newsletter yesterday. Basically, it feels
S1: very complimentary and a bit like a horoscope. It feels
S1: like a scam, right? Like it's just trying to make
S1: me feel good about myself now. Simon. Um, I. I
S1: can't remember his last name. Um, I always mess up
S1: his last name. But Simon, he talks a lot about
S1: AI stuff, and he basically had the same exact observation.
S1: And he pointed out, in addition, that it's not actually
S1: doing introspection on all your conversations. Okay, so so what
S1: you actually have to do, if you want to do that,
S1: you have to go get the conversations and send it
S1: in this thing that it built here. I know specifically,
S1: I knew immediately when it came back. It's working off
S1: of my system prompt. So if you are a paid
S1: member and you have anything inside of your your config
S1: for ChatGPT, it's basically here's who I am. Here's how
S1: I would like you to interact with me. Right? So
S1: I have stuff in there that mentions human 3.0. It
S1: mentions like the type of stuff that I'm interested in
S1: because I'm using that to have it shape how it
S1: responds to me when I ask it a question about
S1: whatever I want it to answer me in a specific way.
S1: So all of that is what it's basically going off of.
S1: And it's essentially hallucination. It's making up all of this
S1: stuff to make you feel good. And in fact, if
S1: you go and ask now, um, I think they might
S1: have modified the output and basically said that, no, we
S1: can't give you deep analysis. We don't actually have the
S1: history of all your conversations readily available. You would need
S1: to put them in. It's giving some kind of a
S1: warning to counteract people doing this meme and thinking the
S1: wrong thing about it. But yeah, here's what I wrote
S1: about it yesterday. It's like, well, everyone's going to agree.
S1: If you know, something comes back and it's like, you know,
S1: I just think you're so insightful and you're so smart
S1: and you're trying to help the world and all this,
S1: and it's like, oh, wow, that it's so accurate. It's
S1: so accurate. It really gets me right. This is the
S1: same trick that horoscope and palm reader people use against
S1: you is to, like, just basically find special ways and
S1: unique ways to compliment you. And it's like, oh, I've
S1: never seen how awesome I was before. Thank you. So
S1: I asked people, you know, curious what you get. And
S1: I got back a whole bunch of responses and it
S1: was basically the exact same thing. And a couple of
S1: people responded and said, look, it's just going off the
S1: system prompt. It's just hallucinating. So I think we all
S1: sort of collectively figured out it was kind of lame.
S1: Apple's AI researchers found that llms from meta and OpenAI
S1: struggle with basic reasoning, and they've got a whole paper
S1: basically going into that. I think it's more accurate to
S1: say that it's easy to disrupt the reasoning than to
S1: say it doesn't have any. Geoffrey Hinton, often dubbed godfather
S1: of AI, has won the Nobel Prize in Physics for
S1: early work in neural networks. Congrats to him. And one
S1: thing to notice is that he is in the Doomer camp.
S1: And anytime somebody gets a Nobel Prize for crazy work
S1: in something like really groundbreaking work, you should listen, especially
S1: if they disagree with you. He disagrees with me, so
S1: I'm listening. Musk unveiled Tesla's new robotaxi self-driving electric vehicle
S1: without a steering wheel or pedals at the We Robot event,
S1: and there was so much hate about this. In the
S1: first version that I recorded yesterday, I went into a
S1: whole like political thing, which was too much. I don't
S1: want to do that again here. So I'm going to
S1: try to overview instead of it. I would say that
S1: everyone or most people, most people are very anti like
S1: militantly anti Elon or they think he's like the new
S1: Jesus and I don't feel like there's very many people
S1: who see the subtlety and nuance. And if you go
S1: all the way down to the bottom here, I think
S1: it's because not enough people are reading biographies, right? Biographies,
S1: by definition, are written by or written about people who
S1: have done extraordinary things. And if you go and look
S1: at a whole bunch of inventors like Edison and Tesla
S1: and people like that, um, they tend Ben Franklin, they
S1: tend to be crazy and weird and, like, not take
S1: showers and have weird social interactions and, like, sleep under
S1: their desk and just smell, like, absolutely horrible and all
S1: sorts of things like this. Right? They tend to be
S1: very strange and oftentimes they do bad things, right? And
S1: also they're down on themselves and they have these up
S1: cycles like manic depressive type vibes, or they have a
S1: Jesus complex, or they hate themselves and they think they're
S1: not good enough and they're horribly jealous of everyone. Like
S1: you're not finding horribly stable people, like very regular people, right,
S1: who get biographies written about them. Usually not always the case,
S1: but usually they tend to be kind of weird. And
S1: I think that's important when you look at somebody like Elon,
S1: because I feel like people are looking at it through
S1: the lens of today and what's like considered normal on
S1: X or in, you know, in California or specifically in
S1: San Francisco, in California, like what is considered acceptable behavior.
S1: And I think the question is, if somebody is an
S1: extraordinary creator, which we also have to like, agree on that.
S1: I would say he is, but let's say that you
S1: agree he's an extraordinary creator and you're like, yeah, but
S1: it doesn't matter because he has all these flaws. I
S1: ask you again to look backward at all the different
S1: things that have been created in the world, and what
S1: percentage of those were created by essentially a crazy person,
S1: crazy and or broken and or messed up and or
S1: in need of therapy and or gross or in some way,
S1: you know, counter normal. And I'm not saying excuses, right.
S1: I'm not saying it excuses all the people in the
S1: past either. I'm just saying reality tends to look like this.
S1: So we should keep that in mind. All right. Deals, deals,
S1: sales staff given two days notice to return to office
S1: full time. So I've been talking about this quite a bit. Essentially,
S1: return to office is a way of doing firing essentially
S1: riffs right toe equals riff. Not always, but in many,
S1: many cases. It's like it's a cheating way of doing it.
S1: Co-Founder of Robinhood, Baiju is going to collect and transmit
S1: solar energy using infrared lasers. And he's basically going to
S1: I believe he's going to send the energy back down
S1: to earth using a laser as well. So it'd have
S1: to be like a receiver. And I'm like, well, you
S1: need you would need to be able to target this
S1: receiver while in space, moving very fast, right? Going around
S1: the planet like every hour and a half. That's very,
S1: very fast. But you'd still be able to hit these receivers.
S1: Actually I think they would be geosynchronous. So you wouldn't
S1: actually have to they wouldn't be moving in relation to
S1: the receivers. Maybe not sure. Either way, you are technically
S1: building a space laser, and if you're sending enough energy
S1: to be useful on the ground, you're also sending enough
S1: energy that could potentially be used as a weapon. So
S1: just expect to have at least a questionnaire for the
S1: military and or a request for purchase from the military. U.S.
S1: Department of Justice considering breaking up Google after court said
S1: they've crushed competition. Google Chrome, Android. Yeah, lots of different
S1: products they have potentially. I agree with this. I agree
S1: with Scott Galloway that a lot of these services need
S1: to be broken up, potentially even Apple, even though I
S1: love Apple and I don't think they've really done anything
S1: wrong at some point. It's like a reward. It's basically
S1: saying you are too awesome, therefore we have to break
S1: you up and not necessarily like an indication that you're
S1: a bad person. You know what I mean? Ticketmaster is
S1: the first to use Apple's upgraded wallet tickets for iOS 18,
S1: giving us stuff like venue, maps, parking, music playlists, weather forecasts,
S1: stuff like that, stuff like that. So that's good. Anything
S1: to make Ticketmaster suck less? That's what I wrote. New
S1: HBO documentary claims Canadian crypto expert Peter Todd is the
S1: mysterious inventor of Bitcoin. Satoshi Todd says nope, I was
S1: too busy with school and work at the time, so
S1: it couldn't have been me. Which is exactly what Satoshi
S1: would say for Taiwanese employees at Foxconn's Zhengzhou plant. World's
S1: largest iPhone production facility have been detained by Chinese authorities.
S1: Nobody knows why they assume politics. Humans. Looks like Christopher
S1: Columbus was a Sephardic Jew from Western Europe. I think
S1: they're saying Spain can't remember if he was Spanish or
S1: if he was Portuguese. I can't remember that whole vibe.
S1: But they're saying, yeah, Spanish Jew. And I think Sephardic
S1: means I can't remember exactly. I think it means like
S1: Israeli Jew as opposed to European Jew, which is Ashkenazi.
S1: I believe that's the case. JP Morgan and Wells Fargo
S1: dips in profits. So they say it was geopolitical tension.
S1: I saw Bank of America saying they had something similar happen.
S1: So yeah, banks are sort of struggling. Although I did
S1: see Goldman Sachs say they were doing okay, I believe
S1: I can't remember the details, but some mixed results on
S1: the banks. Your brain changes based on what you did
S1: two weeks ago. So this is basically saying that it's
S1: not just what you did yesterday or the day before,
S1: but that there's like accumulated downsides of having crappy diet
S1: and exercise and sleep over like the course of two weeks.
S1: So pretty cool. I mean, essentially, to me this says
S1: keep doing your routine because like it accumulates, the benefits accumulate.
S1: American Heart Association outlines a strict protocol for taking blood pressure.
S1: They're saying you have to sit calmly with an empty bladder,
S1: and that too many people are measuring right after running
S1: around or while you have to pee. And basically this
S1: this is inflating Leading the hypertension numbers. Boeing is cutting
S1: 17,000 jobs, 10% of its workforce. Federal emergency workers in
S1: Rutherford County, North Carolina, were temporarily moved after reports of
S1: an armed militia threatening government personnel, essentially because they think
S1: they helped somehow create the hurricanes. I assume because they
S1: work for the government. Elizabeth Landau says single cell cyanobacteria
S1: can anticipate seasonal changes by sensing day length and preparing
S1: for winter. Single cell organism can sense seasons. That trips
S1: me out and kind of explains how trees start, you know,
S1: turning fall and dropping leaves and all that. United Airlines
S1: is adding new routes to lesser known destinations like Bilbao, Faro, Madeira,
S1: Sicily and Newark trying to get away from crowded hotspots.
S1: Essentially got some journals from Alexei Navalny while he was
S1: in prison, for he died in prison. Retail sales have
S1: dropped from 7.5 to 7% of employment over the last decade,
S1: losing 850,000 positions despite the US adding 19 million jobs overall.
S1: Looks like Wegovy and Zepp bound might have been the
S1: cause of US adult obesity rate, dropping by two percentage
S1: points from 2020 to 2023. And speaking of that, new
S1: GLP one weight loss drugs are coming in pill form
S1: soon to basically replace the weekly injections. Dhairya Karwa Mirza,
S1: self-taught Kurdish astrophotographer. Look at this image that she took. Extraordinary.
S1: Absolutely extraordinary. Look at that. Isn't that cool? Looks kind
S1: of oblong. Not sure why. Maybe the shadow. Anyway, very
S1: cool ideas. Gullibility. Not disinformation. So I don't think the
S1: US has a misinformation problem. I think it has a
S1: gullibility problem. It's not that we're being fed too much crap,
S1: it's the fact that we're actually eating it. Some two
S1: large number of Republicans now believe that the Democrats are
S1: sending hurricanes to Florida because it's election time. That's a
S1: population problem, an education problem, not a conspiracy theory problem.
S1: So in infosec terms, we need to reduce our vulnerability,
S1: not try to get all the threats removed. Right. Because
S1: the threats will always be there. And in fact, the
S1: threats are going to get better. The only chance of
S1: actually fixing this is education about how the world actually works.
S1: And unfortunately, the far left and the far right seem
S1: to have like lost touch with that, like the basic
S1: facts of reality, because it's not just the far right
S1: that's doing this, right. Remember the anti-vax thing that was
S1: far left before it was far right? It was far left.
S1: And then Covid happened and then the far right jumped on.
S1: And I guess now the far left and the far
S1: right are anti-vax. Not really sure, but the point is
S1: we have a vulnerability, which is a lack of education
S1: and a lack of understanding of how the world works.
S1: That's the vulnerability. Threats are things like misinformation. We can
S1: have a threat and not be vulnerable, and we still
S1: have lower risk. So that's the vibe there. Discovery swarm,
S1: OpenAI's new experimental framework for building and orchestrating multi-agent systems,
S1: feels a lot like long chain to me. I didn't
S1: see so many benefits. I'm going to mess with it.
S1: More command tools. I like really good set of tools here.
S1: RFT Delta tldr s-oxide http I fcf. Yeah, lots of
S1: different tools here Xvm better vim mode for ssh. I'm
S1: sorry for zsh. Love this thing. It's syntax highlighting. It's
S1: basically a full featured version of vim on the command line,
S1: so I use vim mode for my zsh have been
S1: for years, but this gives you like syntax highlighting. It
S1: gives you the ability to use like the surround plugin,
S1: all kinds of stuff. Theano 3.0 AI powered API documentation tool.
S1: I updated my post on dynamic content generation. I think
S1: this is going to be insanely disruptive to so many industries.
S1: Highly recommend you go check that out. Essentially, what it
S1: means is people are going to produce raw content. Like
S1: for example, this is raw content of a full podcast, right?
S1: And this has got me in this bottom right here
S1: talking to the camera. And let's say this, this whole
S1: episode is like 20 minutes long. Well, let's say that, um,
S1: you have a, like a five minute bus ride or
S1: a five minute bike ride, or you're waiting in line
S1: for five minutes or whatever. And and this is like,
S1: I don't know, three, five, five years in the future.
S1: And you're like, hey, I want a summary. What did
S1: Daniel put in his podcast yesterday? Your AI is not
S1: going to go and find the video and speed it up.
S1: In fact, your AI is just going to read, watch,
S1: consume the whole video if it hasn't already, and it's
S1: going to make a version of it. Maybe it's my face,
S1: maybe it's me in a video. Maybe it's only audio
S1: because they can actually look at anything right now. But anyway,
S1: it's going to play in your ear a five minute version.
S1: It's going to pick the best stuff out of here
S1: that you actually care about. How is it going to
S1: do that? Because your eye knows you. Your eye knows
S1: what parts of these which which of these stories are
S1: actually good or most pertinent to you. It's going to
S1: take out the garbage. It doesn't like those stories, thinks
S1: they're dumb, thinks it was filler or whatever, and it's
S1: going to build a clean little clip. It could be
S1: a 32nd clip, but it could be read in the
S1: voice of Richard Feynman. It could be read in the
S1: voice of Agatha Christie. It could be it could be anyone.
S1: It could be Taylor Swift. Right. Telling you the news
S1: that that came out of the Unsupervised Learning podcast. Point is,
S1: your eye is going to be giving you content in
S1: any format, in any presenter deepfaked exactly the way you
S1: want it from 10s to giant series. Okay, the original content,
S1: which lives in a textbook somewhere, or in some YouTube
S1: video or in some blog post. That original content you
S1: never have to mess with again. Your AI is going
S1: to consume all of that and then dynamically build the
S1: content for their principal. So that's the idea there. Augment
S1: UI use AI to prototype front end designs. Software engineer
S1: pay heatmap across the US, the digits of pi are
S1: not random. Passbook lets you create an Apple Wallet, pass
S1: from any QR code and export it to wallet. How
S1: I animate three blue one Brown. It's one of my
S1: favorite YouTubers, describes a whole bunch of science stuff and
S1: recommendation of the week. If you want to calm your
S1: nerves during this next month and a half going into
S1: this election, go read about the Civil Rights movement and
S1: how disruptive that was to politics in the US. And
S1: it was actually, in a lot of ways, way worse
S1: than what we're seeing today. So we survived that really
S1: bad stuff. We probably will again survive this election cycle, probably.
S1: And the aphorism of the week, what is to give
S1: light must endure burning. What is to give light must
S1: endure burning Viktor Frankl. Unsupervised learning is produced and edited
S1: by Daniel Miessler on a Neumann U87 AI microphone using Hindenburg.
S1: Intro and outro music is by zombie with a Y.
S1: And to get the text and links from this episode,
S1: sign up for the newsletter version of the show at
S1: Daniel miessler.com/newsletter. We'll see you next time.