S1: Welcome to Unsupervised Learning, a security, AI and meaning focused
S1: podcast that looks at how best to thrive as humans
S1: in a post AI world. It combines original ideas, analysis,
S1: and mental models to bring not just the news, but
S1: why it matters and how to respond. All right. Welcome
S1: to unsupervised learning. This is Daniel Missler going to do
S1: an Andrew Huberman Lex Fridman type ad read here. And
S1: you can of course just jump forward. But like they
S1: say it would be appreciated if you listen and take
S1: a look at the sponsor. Definitely helps the show. When
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S1: watch a demo and see how it works. All right
S1: let's get into it. So some really cool patterns for
S1: fabric this week. Got one called Create Better frame. So
S1: basically any place where somebody is putting forth an opinion
S1: about anything and it basically makes it so that when
S1: you send that thing in, it looks at the negative
S1: way to look at that content, and it looks at
S1: positive ways to look at that content, and that's the
S1: output that it produces and the negative ways to look
S1: at the content. It's actually like in escalating levels. So
S1: if it's about dating for example, it'll be like, oh,
S1: the dating scene is really bad. And then it kind
S1: of like catastrophizing that. And the next one is like,
S1: I'll never find anyone in the last one is like,
S1: why go on living if I'm always going to be alone?
S1: So it's like negative frames of thinking that could be
S1: generated from a given article or something. And what this
S1: does is it also adds the positive ones at the
S1: end and says, no, it's more like, okay, dating apps
S1: aren't very good, but the final one there is, look,
S1: I already wanted to prioritize in-person meet ups and relationships anyway,
S1: so this is just support. This article about bad dating
S1: apps is just support for the fact that I wanted
S1: more in-person connection anyway, so it's a positive frame for
S1: a thing. So the idea here is that this can
S1: function essentially like a positivity filter, which eventually will be
S1: like a function of days. So that's why I'm super
S1: excited about this one. Next one is create Academic paper.
S1: So this one takes any bullet points article, essay or
S1: anything you've written and turns it into like a LaTeX
S1: formatted academic paper. And it's pretty cool. It works great.
S1: And you just paste it into like an online latex
S1: renderer and you get the results. Okay. Next one here
S1: is summarize git changes, which is a great way to
S1: see and share updates on recent progress for a git project. Yeah,
S1: so really cool. So you basically just paste in the
S1: front page of a GitHub project and it outputs like
S1: exactly how to install it or whatever. Oh actually that's
S1: a different one. That's a different one. That is explain
S1: project is actually the one I just described. This one
S1: is different. This one is called summarize get changes and
S1: this is the output from it. So you basically do
S1: this git log command. And that pulls out like 500 changes.
S1: And then it produces this type of a summary of
S1: the actual project. So it's like here are all the
S1: features we added like all that kind of stuff. Also
S1: thresholds first commercial product or Ul's first commercial product called
S1: threshold is imminent. I'm already using it and making final
S1: tweaks now, and it's going to launch in preview, which
S1: means they're going to be like tons of updates in
S1: like the first couple of weeks and months, but can't
S1: wait to share this thing. Wrote a piece called Personal
S1: Eyes will mediate everything, and it's just talking about, you know,
S1: what happens when Daz, your digital assistants are actually doing
S1: all the interaction with the products around you. And this
S1: is kind of like a picture of that. In fact,
S1: we'll just go and look at that real quick. So
S1: it's like if you look at this picture, you go
S1: into a city street or whatever, you're surrounded by thousands
S1: upon thousands of APIs, demons from the things all around you,
S1: all the people, all the different buildings, all the all
S1: the streets and the cars and everything. And, you know,
S1: like the the driver service or Uber or whatever. And
S1: all of these are actually like products, and you might
S1: want to order some food or something. And it has
S1: a menu and that's a product. And normally you would
S1: be going there and looking at it and flipping through.
S1: And as a result, people build applications in a certain way. Right.
S1: And with AI happening, an API is happening and DHA
S1: is happening. Humans aren't going to be the ones going
S1: to the webpage. They're not going to be. Ones looking
S1: at the catalog, they're going to know our preferences. They're
S1: going to be doing all the looking. And then what
S1: they're going to do is they're going to pull all
S1: this content back via the API, and then they're going
S1: to use your own preferred way of looking at things
S1: inside of AR, and that's going to be shown inside
S1: your glasses or your lenses or whatever the the modality is.
S1: So you're going to have your own preferred UI interfaces
S1: that you just like the best. Like it might look cyberpunk,
S1: it might look solar punk, it might look minimalist, or
S1: it might look like super pretty and gaudy and extravagant
S1: or whatever. And that's going to be how you see things.
S1: But again, like all these are company APIs, right? And
S1: her Da is now looking at these things and parsing
S1: all that information for her. So the real question is,
S1: as a builder of a product like Google or like
S1: a product catalog or like Amazon, what does it mean
S1: to your company if nobody's coming to the website because
S1: the Das are coming to the website and there's going
S1: to be separate third parties that do the display, and
S1: that's going to change a whole lot about product development.
S1: And I don't know, really the economy in general. All right.
S1: Had a really cool sponsored conversation with Jason Miller of
S1: One Password. And, uh, he was the CEO at collide
S1: and is still over that product inside of one password.
S1: And that is the sponsor slot that we read earlier
S1: as well. So thanks to Callide for sponsoring and, uh, security.
S1: So got a set of deepfakes here. Actually I'm going
S1: to click on these, right. I mean, this is the
S1: advantage of doing video, right. So I'm going to show
S1: a couple of these. Um, this one is the most
S1: scary one to me.
S2: World from art to music. Today we're diving into how
S2: AI is transforming the creative world from art to music.
S2: I'm the deepfake version of Marc Andreessen, made by Argo,
S2: and I think we need more and more realistic deepfake.
S2: It will empower new form of content creation. You should
S2: check it out.
S1: I mean, that is insane. That is completely insane. So
S1: what I'm basically saying is we need a Snopes. Okay,
S1: we're going into 2024 election in the US. Video deepfakes
S1: that are that good, that could be Biden saying something
S1: or Trump saying something. Those situations are so bad that
S1: we need to be able to account for them. So
S1: this is what I wrote. We we need like a
S1: global Snopes platform. So you get a bunch of people
S1: left people, center people, right people, and you build a
S1: platform that does like Snopes, which is like it tests
S1: internet claims and basically says, is it real or is
S1: it crap? And it could be like a collection point
S1: for arguments, right? So it's something like, okay, there's a
S1: video of Obama saying we're going to attack Mylanta. The
S1: video is currently being analyzed, and then you have like
S1: streaming in. You have oh, it's created by oh, looks
S1: to be fake. So Fox News says, oh it's fake. Oh.
S1: And then says there's no evidence that it's fake. Also
S1: known as they believe it's real or they want you
S1: to believe it's real. See some analysis. They're like, oh,
S1: this is definitely a deep fake. And all these are
S1: links to go actually look at their analysis. Right. And
S1: Breitbart is like, no, he probably said it or whatever.
S1: So current conclusion is, given all the evidence, we are
S1: almost certain and that this is a thing roughly similar
S1: to what the CIA has used in the past to
S1: assess likelihood. So it's a good sort of scale to
S1: use for how certain you are about a certain thing. So, um,
S1: almost certain that this is a deepfake. So this is
S1: the conclusion of the site, and you've got all the
S1: evidence up here of like all the different analyses, they've
S1: all been collected in one place. So some people are
S1: just not going to believe it. I mean, they're going
S1: to believe whatever they want to believe about the video
S1: because of predetermined bias. But we need to have a
S1: service in which somebody can see somewhat objective analysis, somewhat
S1: multi subjective analysis. And then finally a verdict is this
S1: thing real or not. And it could be like chances
S1: about even we don't know impossible. We also need to
S1: put like we just don't know. There's got to be
S1: one of the options. But we absolutely need the service.
S1: And Dan Kaminsky used to be fond of saying we
S1: have the technology right. We can actually build this if
S1: we want to. And basically the deepfakes are too good
S1: to not have this. In the election season 2024, they
S1: were supposedly a data leak of 71 million AT&T customers
S1: are saying it wasn't them. Someone build a active in
S1: the middle attack using some Cloudflare worker stuff. Really cool
S1: bypass of MFA against Microsoft accounts. Leaked documents about a
S1: hacking group that was going after like tons of foreign governments.
S1: Just really nasty thing. SpaceX is contracted to build a
S1: spy satellite network for US intelligence agency. So Elon is
S1: building spy satellites for the government. That's interesting. I mean,
S1: who better to actually get satellites in space? I don't
S1: know of anyone. Rohan Pandit modified lama to to unredacted
S1: an email from Elon to Ilya. So, uh, yeah. Unredacted content. Interesting.
S1: Burglars are starting to use Wi-Fi jammers. Oh, actually, this.
S1: This is our second sponsor. Hardly strictly security. I'm actually
S1: doing a talk here, so shout out to them in
S1: that conference. Yeah. Burglars are now using Wi-Fi jammers to
S1: knock out security cameras, and evidently it's starting to happen more.
S1: I've got a few cases. I think this was in Chicago.
S1: Fortinet has disclosed a critical SQL injection flaw. Fortinet has
S1: had some issues. All right. Technology. Stephen Howe gave Devin
S1: access to his work stuff, which I'm like, how do
S1: you do that? That's, uh, that's an agent with full
S1: access to your account. This is like I've been talking about.
S1: This is the number one threat from AI, in my opinion,
S1: is people giving too much power to agents that have
S1: access to really strong APIs, such as posting on slack
S1: on behalf of the human right. So, Devin, is this
S1: really controversial thing. It's basically an agent that writes code.
S1: There's a million of them out right now. This one
S1: is particularly well packaged. They had a good launch interview,
S1: and I think that's why they're getting so much pushback.
S1: It's like it just launched. Well it got a lot
S1: of PR. So that's why people are more mad at
S1: it than other things that they don't know about. That's
S1: my theory anyway. Um, it can basically do tasks. It
S1: sets out a thing of tasks it needs to do
S1: to like write an application or something. Right? Well, if
S1: it gets stuck, it can go and search many different
S1: avenues to try to get unstuck. One of the avenues
S1: that Steven Howe gave it was to go on slack.
S1: So it actually goes on slack. I'm going to click this,
S1: look at this, this thing. It goes on slack. And actually, um,
S1: posts in slack to ask a question that would solve
S1: its problem. And it got back a response, and it
S1: used that response to go and continue writing code, got
S1: unstuck and actually finished the project. And yeah, I was
S1: talking about this like so much hate towards Steven. I'm
S1: not sure why there's a million different platforms doing something similar.
S1: And uh, Midjourney new character reference feature finally makes things
S1: look the same. So check this out. This is all
S1: from one prompt. So basically you can have the same
S1: person in different settings. And uh, that was not possible before.
S1: So that's really really cool feature now in Midjourney uh
S1: open source grok. Not really. Um, in my opinion, the weights,
S1: the data and the full training methodology are used for
S1: saying that a model is fully open source and grok
S1: did not get there. They did not release the methodology
S1: or all of it. At least Co-variance is launching RFM one,
S1: which is bringing ChatGPT like capabilities to robots. AI is big,
S1: robots are big, but the biggest is AI in robots.
S1: This I think might move faster than we think everyone
S1: is thinking. You know you can't crawl under a house,
S1: you can't look at the piping from an old house
S1: and actually figure out how to fix this, like a
S1: an electrician or a plumber. And if you've seen what
S1: I can do, you've seen what some of these robot
S1: demos can do. And then you see how nimble these
S1: little things can be. And like the dexterity of their
S1: arms and their hands. Combine that with local models and or,
S1: you know, pinnacle models that are available via the cloud.
S1: I'm not sure that this thing can't take pictures or
S1: stream video of pipe fittings and washers and, you know,
S1: be able to use wrenches and all this different stuff.
S1: I'm not saying it's going to be easy. I'm saying
S1: we should not be so arrogant as to think it's invulnerable,
S1: like we currently seem to be thinking it is. All right. Um,
S1: Finland has a giant sand battery to store heat in winter.
S1: I didn't know this was possible. That one really excites me.
S1: And the other one that excites me is I'm trying
S1: to figure out is storing energy in water upstream. I
S1: can't remember how this works. I think they store the
S1: water and then they release the water through like a
S1: turbine that the water moves through as it goes downhill.
S1: Something about the gravity and potential energy of all that weight,
S1: I think. Anyway, another way of like generating and storing energy. Yeah.
S1: Nvidia getting into human robots. Yeah. This thing, it honestly
S1: reminded me of Black Mirror. I saw a video of
S1: this thing jumping up like 3 or 4ft high and
S1: just like instantly just going over this giant obstacle at
S1: the Nvidia event. And it was terrifying. Hong Kong is
S1: implementing a new Beijing driven, stringent security law that goes
S1: after treason and other types. And it's got like life
S1: in prison, I think maybe even worse, maybe even death.
S1: I mostly saw life in prison, though. Midjourney is blocking
S1: AI images of Trump and Biden. US added more jobs
S1: than usual, but unemployment went slightly up to 3.9. That
S1: is such a low number, but it trips me out
S1: that that number does not include people who don't want
S1: to work. So I mean, if you counted that, I mean,
S1: it would be a massive number. A really good thread
S1: here on Hacker News about experienced programmers not being able
S1: to find jobs, super strict policies at private schools in England,
S1: rigid routines and discipline. And this is for disadvantaged students
S1: to help them succeed. And they've had really good results.
S1: I don't know, I feel like this is probably going
S1: to be a trend, not just for disadvantaged students, which
S1: I think it's great for, but for everyone really reminds
S1: me of, like those man camps that are happening right
S1: now in like, uh, Appalachia mountains where you go off
S1: and you do camping and hunting like all these other
S1: manly things. And it's because people want to build character, right?
S1: And you can't build character when everything is easy. So
S1: these schools or these man camps or whatever, it's a
S1: way of like getting to like this resistance training, this
S1: calculated suffering that builds character. Uh, women are drifting more
S1: left and men are not. So there's like a bigger
S1: gap than ever. Former Boeing whistleblower, the I think I
S1: don't know if he was the 1 or 1 of them,
S1: but found dead amid a lawsuit and, uh, some drama
S1: around that. And Toronto police are now saying, leave your
S1: car keys at the front door so that when people
S1: break in, because we're probably not going to be able
S1: to help you. Basically, when people break in, you want
S1: to make it easy for them to take your car
S1: and so they won't come in and hurt you. And
S1: I think this is like how you get Republicans elected
S1: because Republicans are going to be like, I got an idea.
S1: How about we shoot the the attacker? How about we
S1: don't allow this to happen? How about we have more
S1: police so we don't just accept break ins. And this
S1: is how you get like more right leaning people eventually
S1: getting to to like far right people like we're seeing
S1: all over like Sweden and, um, you know, Scandinavian countries
S1: where you have like huge like migrant crime problems. And
S1: the left is like, no, immigration is fine, which of
S1: course it is. But it's like when you're not addressing
S1: the issues, you give the power of the truth to
S1: the far right. And like liberals cannot do this. And
S1: if they do, they're going to be consequences. So I
S1: think we need to, you know, do some sort of
S1: hybrid of like, you've got to enforce laws strictly and
S1: then you have to be very liberal in trying to
S1: make it. So that doesn't happen in the first place.
S1: So conservative in some ways, liberal in other ways. Uh,
S1: recent Boing incidents have got a far right conspiracy going
S1: that diversity is causing intentional failures, and it's part of
S1: a plot to undermine Western civilization and promote communism. I'm like,
S1: somebody explain this to me. That seems fringe. Using tap
S1: water in the neti pot is bad. So this is
S1: the thing that cleans out your sinuses, which I need
S1: to do again right now. I did yesterday, but you
S1: should use sterilized water for this. I use my reverse
S1: osmosis water from the filter. You do not want nasty stuff.
S1: You're shooting it up like very close to your brain.
S1: Like your sinus cavity goes way up inside your your head.
S1: So you do not want stuff up there that's like
S1: alive or poisonous or whatever. And if you look at
S1: Huberman recent episode on water, he says tap water is nasty.
S1: He's he's like, I don't want to alarm people, but
S1: it is alarming. It is nasty what I found in
S1: these tap waters. So don't shoot that up into your brain.
S1: How about that? This analysis is saying people used to
S1: consume more calories without gaining as much weight. Skeptical, but
S1: thought it was worth sharing. Uh, fentanyl poisoning the leading
S1: cause of death for Americans 18 to 45 fentanyl. What
S1: is going on? 2000 newspapers have closed since 2004, and
S1: car washes are popping up because, uh, they make a
S1: lot of money. All right. Ideas and analysis. Uh. Epiphany. Epiphany.
S1: What is that? Uh, that, um, that shows you I
S1: don't use AI to to write the newsletter. I wouldn't
S1: have made that mistake. Yeah. So last couple of months,
S1: I'm not going to go into this one. This this
S1: is a big topic by itself. Basically, I'm learning a
S1: lot about the power of framing. And it's kind of
S1: turning into like a, you know, universal like unified theory
S1: for me for a lot of things. But worth a
S1: separate discussion. All right. Really interesting back and forth with
S1: Dino de survie about the cybersecurity flaw and sealing. This
S1: one is a deep one. I'm not going to go
S1: into it. You should definitely go check it out. If
S1: these types of deep philosophical security things are your jam. Basically,
S1: I think security is so important to innovation in daily
S1: life in most situations, and that it falls to a
S1: minimum as a result. And basically we should guard our
S1: mental health against thinking people are steering us wrong and
S1: that's why we have low security. But in fact, where
S1: a lot of security people think it's a horrible situation,
S1: it's actually not that bad because if it were that bad,
S1: we would have fixed it. If it were urgent, we
S1: would know because it would get fixed immediately. And if
S1: it's not fixed immediately, then it's not urgent. And there's
S1: just like, I don't know, it's it's my view of
S1: security at this point. Um. And doesn't mean you can't
S1: make progress. You absolutely can make progress. It's just that
S1: progress tends to happen slowly and reactively. And a lot
S1: of security people are really upset about. They don't realize that.
S1: So they're very upset because they think something can be
S1: done when they don't realize that they're hitting the ceiling
S1: of the difference between what can be done and what
S1: needs to be done. And security by default is a
S1: very efficient thing. So I should probably write a piece
S1: and like name it something like that. I think I
S1: saw a comment like security efficiency theory set or something.
S1: So it's like security wants to be as efficient as possible,
S1: which is why it's easy to pick locks all over
S1: the country and probably all over the world. It's because
S1: that is the exact point of security that you need
S1: to have for it to be somewhat useful, but not
S1: to be an overspend. And that magical point I'm arguing,
S1: is usually way lower than what security professionals think it
S1: should be. They think the bar should be way up here,
S1: and I think that's what Dino was talking about. Let's
S1: raise the minimum bar. And my whole point I said
S1: I wasn't going to go into this, but here we are.
S1: My whole point was you can't move that bar. That
S1: is security's efficiency baseline. And it's determined by reality. It's
S1: not determined by what should be or what security people
S1: want it to be. And it's related to this framing thing.
S1: So we'll leave it there. All right. Really cool. You
S1: all meet up this week. Had a member named John
S1: just blow our minds about custom keyboards. And I now
S1: have one on the way. So I'm going to be
S1: having my tinted, like side keyboard programmable. Really cool. And
S1: I ordered a kit from Jose and Martinez, so that
S1: should be fun. And Voyager one is one light day
S1: away from us and it still it keeps breaking. We're like, oh,
S1: it's finally dead, you know, salutes, hats off to you.
S1: And then it'll be like, I woke up. I'm okay,
S1: I'm okay, I'm okay. And we're like, how are you? Okay.
S1: It's like, what? I figured it out. We're okay. And
S1: they're talking about having to troubleshoot this thing from 24
S1: light hours away. It roughly, it might be closer or
S1: further at this point, but roughly a day. How far
S1: away does the thing have to be for the speed
S1: of light, which is that fast? Eight minutes, by the way,
S1: to the sun, 45 minutes for Jupiter, and this thing
S1: is 24 hours away and we have to troubleshoot it.
S1: So imagine like a vim session and you're typing keys.
S1: And by the way, that's why a lot of the
S1: commands are the way they are. I think Bill Joy
S1: created VI and it was for interacting with very distant
S1: things I think satellites. So you'd have this slight delay
S1: and low resources on each computer. Well, imagine when a keystroke.
S1: I imagine they batch things, but imagine a keystroke taking
S1: a day just to get there and a day to
S1: get back. And final thought on on Voyager one. What
S1: a hero. All right, discovery hack trails Golang client allows
S1: you to query security trails, API and do super useful
S1: stuff for bounty hunters. And it's made by my buddy Luke. Uh,
S1: super cool guy. Open API Tui lets you interact with
S1: APIs with a terminal user interface, which I love. I
S1: stopped loving Captain Kirk. Really good piece. Solar punk is
S1: a new cyberpunk. Do It Now by Steve Pavlovna, one
S1: of the first pieces that I read on productivity. Uh,
S1: 2005 really takes me back that one minimal viable system.
S1: Ben Koon shares why and how to blog which skills
S1: are at least likely to be replaced by AI. Amanda
S1: Haskell talks about why cloud three is so good. By
S1: the way, cloud three opus I'm only using opus. It
S1: is crushing GPT four in the most advanced tasks that
S1: I have, which is like deep analysis of like the
S1: most interesting and surprising ideas. So it's like the pinnacle.
S1: It's like the top end of the most difficult things
S1: for humans and AI to do, to pull out complex
S1: ideas and distill them from a corpus, an entire book
S1: or an entire video or whatever. To be able to
S1: do that is the hardest thing that I've seen I
S1: do anywhere. And, um, at that type of skill, opus
S1: is crushing GPT four. I mean, it's like two or
S1: 3 or 4 times as good in. It's hard to
S1: measure that. So I'm making up those numbers. But intuitively,
S1: I feel like the quality of GPT four is somewhere,
S1: and this thing is like so much better now in
S1: most other tasks. Uh, GPT four is as good. Um,
S1: in some places it's actually still better than opus, but
S1: and it's way faster. It's probably like three times faster,
S1: I would guess. Yeah. Really interesting to see opus doing
S1: so well. Spreadsheets as simulation tools. And the Getty has
S1: released 88,000 art images for anyone to use. Recommendation of
S1: the week. Let grow this thing. Oh this project. I
S1: love this project. Can I click this? It's about resilience.
S3: Independence is the key to developing happy, well-adjusted children.
S1: Absolutely love this thing. It is a four minute video.
S1: You've got to watch this thing. And I heard about
S1: it from Jonathan Haidt. And reduce anxiety in elementary and
S1: middle school is the let grow experience. It's all about teaching,
S1: you know, self not so much discipline, independence, independence and resilience.
S1: Trying falling down, getting up that sort of vibe. Absolutely.
S1: Love this project. Okay. And the aphorism for the week
S1: I am not what happened to me, I am what
S1: I choose to become, I am not what happened to me,
S1: I am what I choose to become. Carl Jung Unsupervised
S1: Learning is produced and edited by Daniel Missler on a
S1: Norman 87 I microphone using Hindenburg intro and outro. Music
S1: is by zombie with the Y and to get the
S1: text and links from this episode, sign up for the
S1: newsletter version of the show at Daniel missler.com/newsletter. We'll see
S1: you next time.