S1: Hey, what's up? So I want to talk about where
S1: I think all this personal AI stuff is going. We've
S1: been talking about agents since 2025, and now we're talking
S1: about harnesses. And I think this is all heading in
S1: the exact same direction. And I initially talked about this
S1: in 2016, which we could talk about later. But I
S1: think the direction this is all heading is into a
S1: single interface, a single interface for handling everything AI related.
S1: And there are a few pieces that are missing here.
S1: I think the main thing that we're missing right now
S1: is that our AI system doesn't have a single entity,
S1: it doesn't have a single identity, it doesn't have a
S1: single personality. And I think that is the interface that
S1: we will move to. I think a bunch of people
S1: have sort of figured this out. I mean, I believe
S1: OpenAI is heading in this direction with some sort of device, right?
S1: They hired Jony Ive to work on some sort of wearable.
S1: And the idea for them is they want to bypass
S1: the mobile infrastructure, right? They don't want to deal with
S1: Apple and the iPhone anymore. They want to have their
S1: own OS, essentially like an AI OS that basically everything
S1: goes through and then all their infrastructure and stuff on
S1: the back end. But I think when we talk about harnesses,
S1: context engineering, prompt engineering agents, especially like we get stuck
S1: in the weeds, right? We're talking about, okay, you know,
S1: what's the best agent framework? What are the best agents,
S1: what are the best skills? And I think the best
S1: way to think about this is to imagine all that
S1: stuff abstracted away. And the way I like to think
S1: about this is to and I learned this when I
S1: was at Apple and we got this DNA, I believe
S1: we stole it. A lot of it from Amazon, actually.
S1: It's the concept of reversing backwards to go to like
S1: into the future where you believe you see some sort
S1: of outcome that you want, a product that you want
S1: or a future that you believe is going to happen.
S1: And you basically articulate that and you say, okay, this
S1: is the thing that I think people want. This is
S1: the thing that I think people will, you know, resonate
S1: with and ultimately really enjoy. And then you say, okay,
S1: what is a, they call it a PR, a public release.
S1: What does a release look like? Right. And then they
S1: work backwards. So I've been thinking this way since 2014
S1: or something. So in 2016, I wrote this shitty book,
S1: which you don't have to read because I turned it
S1: into a blog post, but I basically said that everything
S1: is heading in this direction of you're going to have
S1: a single day, which is an AI, a single AI
S1: digital assistant, which is going to be your conduit. It's
S1: going to be your buddy, your friend, and most importantly,
S1: your digital assistant knows everything about you. Okay. That is
S1: like the primary concept from this book in 2016. This
S1: thing knows everything about you. It knows your work, your life,
S1: your relationships. It knows what you struggle with. It knows
S1: what your strengths are. It knows what your weaknesses are.
S1: It knows what you're trying to accomplish, right? So if
S1: you look at all my various projects, well, first being
S1: that that thing in 2016, but also you look at substrate,
S1: most importantly, you look at telos, if you're familiar with
S1: that at all. So telos is essentially a system for
S1: defining yourself, just defining what your goals are, what your
S1: problems are that you're working on, and essentially having all
S1: that in one place. Like what are my challenges? What
S1: are my projects? You know, what are my budget? You know,
S1: if this is a company versus a person, what is
S1: the team that I'm dealing with? What are the different
S1: dynamics there? What is the active work that's going on?
S1: So the idea is to have all this clearly articulated
S1: inside of a system, right? And then with that context,
S1: your digital assistant can then basically monitor this. The other
S1: crazy concept here that's very much related that I've talked
S1: about a bunch in the last year, is this concept
S1: of ideal state and the concept of current state. So
S1: the cool thing about all this AI stuff and all
S1: these agents is that they can constantly gather, they can
S1: constantly go and collect context, you know, research, knowledge, facts,
S1: activities happening in the world, news signal from different sources.
S1: It can always be gathering, but here is the central concept. Okay,
S1: your Da, I'm just going to use mine. Mine's name
S1: is Chi. Chi for me is constantly going and collecting things.
S1: He is constantly collecting and organizing knowledge for me inside
S1: of my system, which my harness is called Pi. It's
S1: actually a public repo. It's an open source project releasing
S1: 5.0 about to come out, so you should get that
S1: very soon. Might actually be out by the time you
S1: watch this, but this infrastructure is not designed to be agents.
S1: It's not designed to be AI tools. It's not designed
S1: to be workflows. It's not designed to be any of that.
S1: It's designed to be the back end infrastructure for context
S1: to collection and management. For my specific individual unitary digital
S1: assistant whose name is Chi, I intend to interact with Chi.
S1: Chi then understands everything about me, all my preferences, everything
S1: I'm trying to do in my world, in my life,
S1: in my work, with my friends, with my relationships. And
S1: this is the backplane. This is the foundation of everything
S1: that is happening in my AI life. Okay, this is
S1: the direction I think everyone is going to go. I
S1: don't know if it's going to happen, really, if it's
S1: going to kick off in 2026, because we still seem
S1: pretty obsessed with like agents, but it's starting to happen.
S1: I feel like it's starting to happen because there's more
S1: and more talk of harnesses. And I think the next
S1: thing we figure out after harness is, is that we
S1: actually just want a single person, a single entity to
S1: interact with. And because we are humans, we want that
S1: to be someone with a personality and a memory. Now,
S1: Open Claw kind of helped push this along a decent
S1: amount because it was somebody who was proactive. This is
S1: a major, major feature that's required that previous agents didn't
S1: have proactivity. Right. The fact that you can give it
S1: some things that you care about to some degree, right?
S1: And it puts it in a text file or whatever.
S1: And it could just like check on them regularly. You
S1: could like check a scheduled tasks, right? This kind of
S1: moved it forward a little bit. Yeah. So I put
S1: together this personal AI maturity model And this, ironically, was
S1: a couple of weeks right before Opencore came out, which
S1: I can't even remember. The first name went through like
S1: four names, but this was right before that happened, which
S1: I was very happy to see it come out after this.
S1: And I'm like, okay, cool. This is definitely catching on. So,
S1: so check this out. The concept here is you move
S1: through these stages and I've got three different stages for this.
S1: I've got chat bots, which is like you're talking to ChatGPT.
S1: That's level one. Level two is agents. And then everyone
S1: knows what agents are. I mean, that's 2025 is when
S1: that kicked off like full steam. And who knows where
S1: we are right now. This is a little bit out
S1: of date. I would say we're still around ag2, although
S1: it's not clean lines, right? So you have like in
S1: some sense we're already ag3 and moving into As1 again.
S1: Opencore really helped us try to move into As1, but
S1: the key point is that we're moving from agents to
S1: the next thing, which is assistance. And these are the
S1: different levels. So you have three different levels of the
S1: chat like phase that we went through. We got three
S1: different levels of agents that we went through. At first
S1: it's just basic CLI, basic web interfaces, transactional, and there's
S1: kind of no memory. You just ask a question, it
S1: comes back, it goes and does stuff. It's cool. Then
S1: you've got basic voice interaction ag3 you've got extensive voice interaction, right?
S1: So the features ramp up and, you know, as they
S1: get ready to move into the next phase. And then
S1: what we're moving into, which is the whole point of
S1: this video is we're moving towards assistance, right? Personality can
S1: see and hear around you goal monitoring and personal persistent personality, right?
S1: We don't really have that yet. We've got a bunch
S1: of startups who have made like, you know, virtual boyfriends
S1: and virtual girlfriends and, you know, virtual best friends. And
S1: that's a whole space that's like taking off massively. But
S1: guess what? Those tend to not have the functionality of
S1: the whole professional system that we work in, which is,
S1: you know, the agent system up here, right? So my
S1: whole point to you is that this is the direction
S1: it's heading towards assistance, but it's combining all of this
S1: agent stuff into the assistant stuff. So I think that's
S1: the direction that we're going. And I think it's just
S1: going to be extremely powerful. Right. And I want to
S1: talk just about like a bunch of these different things
S1: that are happening around this. So the main concept is
S1: that the human life, the life of the principal, which
S1: is like the, the center, the human that is running
S1: all this, I call it the principal kind of like
S1: executive protection or whatever. My concept here is that the
S1: principal is at the center of the, the whole system, right?
S1: None of this tech matters. None of this AI matters.
S1: None of these agents matter if they're not doing something
S1: for a human right. The whole purpose of all of
S1: this is to have human things happen, right? And human
S1: things be optimized. And, you know, it's improving the life
S1: of the principal of the human at the center of
S1: all of this. Okay, so back in late 23, I
S1: think I finally posted this thing in early 24. I've
S1: been talking about this concept of augmented, right? So I
S1: had this augmented course, I believe it was one of
S1: the first AI courses out there. And essentially what I
S1: wanted to talk about was how AI to me has
S1: never been about the tools and the websites and all
S1: the different, you know, chatbots or whatever. It's about this,
S1: it's about a human life. It's about what you could
S1: do in your life and how you can improve your
S1: life using all these tools as like the back end, right?
S1: So what I encourage everyone to do is basically come
S1: up with, what are your actual challenges? What are the components?
S1: What are the different workflows and little pieces that you
S1: can turn into a granular problem that AI can help
S1: you solve, right? So over here, there's security things, there's
S1: personal things, there's knowledge things, education things, right? And then
S1: you basically turn that into workflows that you can then
S1: execute AI on, right? So I've got like ideas here.
S1: You have like an idea, a random idea for like
S1: an essay or something, right? And you can turn it
S1: into an essay. You could then turn that into a
S1: LinkedIn post, right? And this is all using those individual components,
S1: but it all comes back to something that you care
S1: about as a human. Here's another example. Since my background
S1: is in security, like you can do analyze incident, and
S1: this just becomes a workflow that you can do. In
S1: this case, this is inside of a tool called fabric,
S1: which is now part of my Pi project. But you
S1: can essentially go and analyze an incident. You just paste
S1: in content and boom, it puts out an incident with
S1: great formatting like this. And this is kind of well
S1: known now, but it wasn't really known back in 2023.
S1: This was one of my favorite workflows. This one's called
S1: Extract Wisdom. I still use it to this day. You
S1: can basically take any video and pull out like the
S1: most interesting content from it, and you could then do
S1: something with it. Again, you can go and write something,
S1: you could create a video about it, do whatever. So
S1: see something you like, capture it for later in a
S1: format that you can share, right? And all of those
S1: can be little individual workflows. So all of this to
S1: say that this concept of the human at the center
S1: doing their life things to me has always been the
S1: point of any technology and especially AI. So this is
S1: why I believe and why I have not stopped believing
S1: that the direction for all of this is this single
S1: interaction point with a personality that knows us better than anyone,
S1: probably better than our significant others, and can constantly help
S1: us advocate for that stuff. Okay, so let me show
S1: you what that looked like originally when I wrote this
S1: in 2016. Again, this is the book which you don't
S1: have to read because guess what? It's a blog post.
S1: It's free. But if we click up here and we
S1: go to digital assistants, most visible and significant role for
S1: synthetic intelligence, I don't know why I called it synthetic. Basically,
S1: I made the argument that it's not artificial, okay? It's
S1: just different from us. So we should call it synthetic
S1: instead of artificial. Kind of stupid. A computer system that
S1: can monitor human contacts, intentions and commands, interpret them, take
S1: action as well or better than a human professional personal assistant.
S1: So that was the idea for a day. And if
S1: we just look down here, not just that there will
S1: be intelligent, but that they'll know our preferences, they'll be
S1: able to adjust the world to our liking. So the
S1: other concept here that goes with this is kind of
S1: everything getting APIs. That was like the second idea from
S1: this set of concepts from this book. So it's like
S1: you talk to your AI, your Da who is named.
S1: So I talked to Kai. The world is full of APIs.
S1: All the companies are APIs, all the different services and
S1: products and the restaurants and the companies. They're all different APIs.
S1: And when I want to do something like I want to, hey,
S1: I want to buy this product, you know, I want
S1: to schedule a trip or whatever. I tell Kai. Kai
S1: then goes and scours, looks at a bunch of lists
S1: of like the best restaurant or the best Thai food
S1: or the best like place to buy a shirt or
S1: the best place to do a vacation for the cheapest
S1: amount of, you know, money or whatever. And he can
S1: go and research all of that and come back to
S1: me and present it to me somehow, which the third
S1: piece was, okay, custom interfaces. So we're not going to
S1: be using the interfaces provided by the service provider. Our
S1: Da is going to custom make us interfaces. So that
S1: was another of the big ideas here. And what I
S1: said here was this will change how we interact with everything.
S1: So instead of physically manipulating technology, much of which has
S1: widely varied interfaces, you have to find it, learn the interface, whatever,
S1: start using it in some way. We switched to guess
S1: what voice gestures, text part of our natural human communication paradigm.
S1: So this is why I think this stuff is predictable.
S1: And I talked about this in the beginning of the book.
S1: You can't predict tech, you can't predict implementations, you can't
S1: predict who's going to win. You can't predict what company
S1: is going to like beat out the other company, what
S1: order the tech is going to come out. But what
S1: I think you can predict, and this was kind of
S1: the basis of the whole thing and the basis of
S1: this whole video as well, is you can predict to
S1: some degree what humans want because it doesn't really change.
S1: What we want is we want to feel seen, we
S1: want to feel understood, we want to have a close relationship.
S1: We like to have a trusted relationship. And one of
S1: the cool things is that billionaires or, you know, people
S1: who make a lot of money, one of the things
S1: they say helps them more than anything is having a really,
S1: really high quality assistant. So I think this has always
S1: been a thing that we would want when we could
S1: have it. So this is why I'm so locked onto
S1: this model of a single D a that you do
S1: all interaction through, right? So instead of interacting with technology directly,
S1: we will interact with our Da. Our Da will work
S1: out the details with the necessary daemon API. We speak,
S1: things happen, we gestures, things happen, we text, things happen.
S1: No need to fine understand or master new tech. That's
S1: for the service and your Da. My key to work
S1: out amongst themselves, right? Digital assistants will become the preferred
S1: interface between humans and the world in a disruptive and
S1: foundational way, right? So that's, that's what I'm essentially talking
S1: about still to this day. All right. I want to
S1: give some more examples of just like real world stuff, right?
S1: So if you're watching this, you're probably somebody who likes
S1: to optimize. You're probably already deep into the agent ecosystem
S1: or thinking about going in that direction. And I was
S1: just sitting, I was having a friend with my buddy
S1: Will recently, and we were just talking, and I was
S1: trying to explain this whole concept to him of like,
S1: why I think this is the direction everything's going to
S1: go and why I think all this agent stuff and
S1: the harness stuff just fades into the background because it's
S1: just infrastructure that's going to be used by your Da. Okay.
S1: So as we were talking, I'm like, okay, so what
S1: cool ideas have we had in the course of this conversation?
S1: And what is going to be done with those ideas?
S1: And the answer is, well, did we write them down?
S1: Do we have a recording device? Is that recording device
S1: somehow capturing things? Okay, that's fine. If it captured it now,
S1: what can it do with it? If I care about
S1: conversations where we have really cool interactions and he gives
S1: me ideas, I give him ideas. I want that to
S1: be always captured. Okay. If I'm reading a book and
S1: I'm like, oh, this is really cool. I want my
S1: Da to be watching over my shoulder, looking at the
S1: book and when I say, oh, wow, this is really cool.
S1: My Da is looking at the page and can extract
S1: what I meant and make a note of it. If
S1: I say, oh man, that's really cool, well, that should
S1: be extracted out to make a note of it. That
S1: should go into some sort of infrastructure which is waiting
S1: to be followed up on, or I'm going to write
S1: a piece about it, or I'm going to make a
S1: video about it, or I'm just going to think about it.
S1: Maybe I'm not going to do anything. I just want
S1: to be able to remember that we had the conversation
S1: and this useful thing came out of it, right? So
S1: there are just a million examples of this. Okay, let's
S1: just break down a person's life. Let's say they do
S1: lots of research. Let's say they do security research. Again,
S1: because my background security. So it's like I'm thinking about
S1: vulnerability research. I'm thinking about threat intelligence. I'm thinking about
S1: what are the latest attackers doing all that kind of stuff,
S1: that stuff. Kai should be collecting. Kai actually is collecting
S1: all of that stuff, collecting, organizing, trying to see if
S1: it applies to any of the tech stacks that we
S1: work with. Does it apply to any of the customers
S1: that I advise for? Right. Oh, there's a million different
S1: things that can be done at any given moment that
S1: if that was the only thing that I had time
S1: to do, I would do it. If I had the
S1: time to do these things, I would physically be doing
S1: them myself. I don't have time for them because there
S1: are thousands of them. Guess what can do it? A
S1: whole army of agents, right? But I can't talk to
S1: an army of agents. How am I going to talk
S1: to an army of agents? I just talk to Kai.
S1: Kai has all the context. Kai knows what my ideal
S1: state is. Kai knows what I'm trying to do in
S1: the world, what all my goals are. And check this out.
S1: This is like one of the primary ideas here, okay?
S1: This is like the centerpiece of the entire tech stack
S1: in my opinion. This is where this is going. Your
S1: single Da will have basically one prime directive. Know what
S1: your current state is from reading all these APIs, from
S1: pulling all this context from it can see your heartbeat, right?
S1: It can see your depression level. It could hear the
S1: tone of your voice. It could see if you've worked
S1: out recently, you could see if you're fighting with your
S1: significant other. You could see if you haven't talked to
S1: your friends, what is your current state? What is your
S1: desired state? What is your ideal state that is captured
S1: in your telos that is captured as part of. In
S1: my case, my Pi personal AI infrastructure. Right. That is
S1: very clear. Kai is watching this constantly when my Diet
S1: Coke runs out. If the restaurant has a slash menu
S1: and a slash order API, I could request a Diet Coke.
S1: It beeps in the back and my friend the waiter
S1: comes over and brings it over. Or a robot rolls
S1: out and brings it over, or it drops from the ceiling.
S1: Who fucking knows how it's going to happen, right? Who
S1: knows who's going to get there? This type of stuff
S1: is not predictable. What is predictable is when my Diet
S1: Coke runs out. Humans would like their Diet Coke not
S1: to be run out. They would like to have more
S1: Diet Coke. That's the way it works, right? So some
S1: of these things are so predictable. What's predictable? The conversation
S1: I'm having with Will, we want to record that and
S1: extract cool stuff out of it? That is extremely predictable.
S1: Having the best meal experience, having the best food at
S1: the best restaurant. Okay. The other example that I have,
S1: I don't have kids myself, but I was painting a
S1: picture for him of like, okay, my daughter, she is
S1: in college in New York City. It's late there. And
S1: you know, she's walking home right now. So Kai is
S1: telling me in my ear while I'm talking to Will,
S1: that she's walking down the street. There's actually someone following her.
S1: How do I know that? How does Kai know that?
S1: Because her Da reports this kind of stuff when she
S1: goes for a walk by herself, or she's walking back
S1: to her apartment from her dorm or whatever? Again, I
S1: don't have kids. I'm just making this up. But she's
S1: wearing some sort of necklace or EarPods or whatever it
S1: is that allows her Da to see in front of
S1: her and see behind her, maybe to the sides or whatever,
S1: and that kind of stuff. Her Da knows to report
S1: that to Kai right now. Kai is watching that all
S1: the time, right? Because her Da is sending it all
S1: the time to Kai, right? Because that's an agreement I
S1: have with my daughter. She's okay with that, right? Doesn't
S1: normally interrupt me, but right now, in the middle of
S1: this conversation with Wil, it's like, hey, Bing, what's going on? Yeah.
S1: So Julie, she's currently being followed. I just called, you know,
S1: neighborhood watch, and someone just came out and she's being
S1: escorted now. It's all okay. Think about what is possible here. Okay.
S1: This is where it starts to get a little bit crazy,
S1: but it's extremely not crazy. It's extremely tangible and possible.
S1: And this is like literally what I'm moving towards with Pi.
S1: I'm literally building this now instead of building like more
S1: and more optimizations because I'm super guilty of like deep
S1: diving on all the agents and how they talk to
S1: each other, blah, blah, blah. No, this is where things
S1: are going. This is where everyone will be in two years.
S1: So kind of the whole point of this video is
S1: to like let you know this. So you could just
S1: be like, oh crap, and like jump way ahead in
S1: this timeline, right? But think about this. Okay, guess what
S1: else is is spinning up right now. It's nowhere near
S1: as advanced as like the agent stuff, but robotics. Okay,
S1: what if she had a dog with her little robotic dog?
S1: And by the way, I'm still afraid of those because
S1: of the Black Mirror episode, but she's got a little
S1: robotic dog. It has all the cameras. What if the
S1: moment she left because the sun was down, her little drone.
S1: It's like this big just flies over her head. So
S1: Kai is watching a top down view of her going from,
S1: you know, the dorm or whatever class she was in
S1: at the college, walking to the apartment. It could just
S1: watch her the whole way, could see people coming and going.
S1: It's watching the police radio. Her Da is watching the
S1: police radio. Her Da is also watching the drone. This
S1: is awareness, okay? There's nothing humans care more about than
S1: like protecting their loved ones. Like being attractive, being interesting,
S1: essentially survival and reproduction. If you reverse engineer survival and reproduction,
S1: you will very quickly get to a trusted Da that
S1: can do everything for you and understands everything about your life,
S1: and can monitor and listen to and see everything in
S1: your life. Okay, so eventually, you know, way in the future,
S1: ten years in the future, 15 years in the future,
S1: when she's walking, she'll have like four robots for like
S1: optimists or whoever's making robots at the time walking with her. Right.
S1: I would have to make a lot of money to
S1: be able to afford four robots, presumably. But she could
S1: have an escort. Okay, if she's going through a bad
S1: part of town or whatever. Plus the drones, right? I mean,
S1: this is the type of situation where these Das are
S1: going to be able to deploy extra sensors, extra Intel gathering,
S1: use extra tokens to do whatever matters to that principle.
S1: In this case, I'm the principal. I have things I
S1: care about, which includes my daughter. And I am, you know,
S1: implementing Kai on my behalf. And her Da is implementing
S1: the resources that they have to protect this resource, which
S1: is my daughter. Right? So that extends to everything that
S1: extends to a company protecting its resources and its employees. And,
S1: you know, everything you're trying to do in life. Just
S1: think about this. 24 seven using a giant army of agents,
S1: which is all this harness stuff that we're doing, all
S1: the Intel gathering, all the different skills and capabilities that
S1: tech has, except for it's yours. It is your day
S1: watching that millions of things at once. Thousands of things
S1: at once, right? It has to scale up, right? With
S1: time and, you know, having enough compute and all this stuff.
S1: This is ultimately what we're building. And I am sprinting
S1: to this. This is what Pi is all about, right?
S1: Is essentially building this harness with a named personal assistant
S1: that is monitoring all this stuff for you. And it
S1: starts with having extraordinarily good context about yourself and what
S1: you want. All right. So let me just show you
S1: a couple things from Pi. So this is my Pi system.
S1: Let me just open a new session here.
S2: Kai here ready to go.
S1: So this is Kai. This is Kai here, my current
S1: form of Kai. Now I can talk to Kai via
S1: telegram because I have basically chat system built in. None
S1: of it is open claw. It's all pi native. I
S1: could talk via telegram. I could talk via iMessage. Most importantly,
S1: I could just talk right here. Right. So magnifying human capabilities, Pi,
S1: that's what this is. Now if you look here, I've
S1: got 51 public skills and 43 private skills. I've got
S1: 418 workflows. All the stuff that I've been telling you about,
S1: I've been building all this stuff since 2023. All these
S1: skills are all the different capabilities that Kai has to
S1: move me from current state to ideal state, right? That
S1: is what we're building here. Okay? This is what an
S1: agent harness ultimately is becoming an advocate for you, to
S1: move you towards your ideal state. And for most people,
S1: they don't know what their ideal state is. It's a
S1: silly question. It's a silly concept. What are you even
S1: talking about? It comes down to who are you actually,
S1: what are you actually about? What are you actually trying
S1: to do? Yeah. So we could do telos. So we
S1: have telos skill. We can actually interview you and figure
S1: out exactly what you are doing with your telos. So
S1: if I go k d and I go to skills
S1: or actually I go to user, this is like the,
S1: the structure here, right? So I've got a whole bunch
S1: of different stuff in here. I've got personal, I've got life,
S1: I've got finance, I've got business, I've got health stuff,
S1: I've got everything in here. I've got my writing style,
S1: I've got Kai's writing style in here. I've got a
S1: whole bunch of stuff about Kai's identity, which ebbs and
S1: flows right as we have this relationship, he and I.
S1: Pronunciations for different things. I've got contacts in here for
S1: like my particular contacts that are important to me in
S1: my life. I've got contact details so I could say
S1: email them. I could say, hey, go do this research
S1: on this and send it over to Jason or Sasha
S1: or whoever. Right? The point is, I don't need to describe. Oh,
S1: there's a person, they have this email they and re-explain
S1: myself every single time I can literally, because I have
S1: this system.
S2: Kai here ready to go.
S1: Because I have this system, I could say very, very little.
S1: And this thing will just start going and working, right?
S1: I would show you a bunch of stuff, but I
S1: need to do that in a separate video. I'll do
S1: that in the five zero announcement video describing all the
S1: different stuff that you can do with the Pi system.
S1: But the point is, I shouldn't be in here. I
S1: shouldn't be in here on a command line, like typing
S1: in things or like I do everything through voice, but
S1: even that I'm still inside of a terminal, right? And
S1: if I'm inside of an app, that's no better. I
S1: should be talking to my agent who lives in my ear,
S1: who can see what I see, right? Right now, I'm
S1: sitting in front of four screens here. Kai should be
S1: able to see everything on my screen. Should be able
S1: to control everything on my screen. What we're moving to is, Jarvis.
S1: What we're moving to is Minority report gestures. Hey, do this, hey,
S1: do that, whatever. And we're getting pretty close. I mean,
S1: I can already do that pretty well with Pi, just
S1: with voice activation of like going to do something like, hey,
S1: run the pi upgrade skill and see what's new out
S1: there for us. So this one will actually go into research,
S1: everything new that's happened in AI. And we'll look at
S1: our entire harness and see, hey, what's going on with
S1: the latest in AI, what new skills came out, what
S1: new blog posts from anthropic, what new videos came out
S1: from my favorite YouTube? People who talk about AI. It
S1: goes and collects all that. It watches all the videos.
S1: It pulls all the transcripts together. And then guess what?
S1: It does? It looks at our entire harness. It looks
S1: at the entire Pi system and all the context that
S1: he knows about me. And it comes back and says, hey,
S1: I recommend we implement this. OpenAI just did this cool thing.
S1: I recommend we do this. This one woman, she made
S1: a new skill that does research much better and it
S1: has better research agents, and it has a fact checker
S1: at the end, which would be a good upgrade to
S1: our fact checker, right? And I'm like, yeah, cool. Sounds good. Boom.
S1: It goes. And does it. Do you know how much
S1: research this thing is actually doing? I mean, this is
S1: thousands of tokens this thing is using. I mean, this
S1: thing is just getting started. We're currently inside of the
S1: Pi upgrade skill running a workflow, which is upgrade, but
S1: there's actually multiple workflows in there. It's looking at so
S1: many different sources which are customized for me. The point
S1: is all I have to do. I didn't even have
S1: to say run the Pi upgrade skill. I could just say,
S1: what's the latest out there that we should be thinking about,
S1: and Kai would know to go and run the pie
S1: upgrade skill. So look at this. YouTube channels. GitHub trending
S1: cloud code freshness check. So this is looking at the
S1: latest releases, the engineering blog, the red team blog, all
S1: these different sources brings all that stuff up and maybe
S1: I'll show you what that looks like when it comes back.
S1: All right, so let me show you what it looks
S1: like inside of pie as well. Okay, so this is
S1: another interface to pie that is now in version five.
S1: So because I'm going so heavy into this D a
S1: centered single interface point with all this scaffolding and agents
S1: and everything hidden behind your Da, your named da with
S1: a personality, your single point of contact for for AI,
S1: because that is the case. I've basically brought pie into
S1: kind of like a web interface world, which makes it
S1: clear that this is not just an agent harness, but
S1: it is a life optimization system. This is a life OS, right?
S1: Based on AI, which is context focused with a single Da,
S1: with personality basically in charge of all of it, right?
S1: So I've got life stuff here. Work. Telos. Right? Look
S1: at this. I've got my different Telos stuff and I've
S1: got the observer thing turned off, so anything sensitive gets
S1: hidden out. But yeah, I've got my health stuff here.
S1: I've got finances, I've got business stuff. Work life. Right.
S1: This is the view that I care about. This is
S1: what I care about from AI. So this pulse system
S1: is new in 5.0. And again this is not some
S1: product pitch. This is all completely open source. I want
S1: everyone to have this. That's literally the purpose of pi
S1: is to enable people activate people is what I call
S1: it with all this stuff to have these capabilities and
S1: more importantly, like kind of the point of this video
S1: is to think about AI in this way. AI is
S1: not here to be an agent for you. You're not
S1: here to manage AI harnesses like, fuck all that. That's ridiculous.
S1: We are here to live human lives, enhanced human lives.
S1: And AI is a capability that we've never had to
S1: be able to have it go and research and do
S1: all this stuff for us, collect knowledge, constantly optimize. It's
S1: literally stressing constantly about how to make your life better, right?
S1: What better use of technology is there than that? So
S1: that's what this looks like. Click on agents. You actually
S1: see look it's currently running the Pi upgrade skill. And yeah,
S1: if it goes into the algorithm you see a lot
S1: more content there. Oh look at this. This is a
S1: knowledge base. Look at this. We've got companies. Look, this
S1: is like every idea I've ever had. So Carpathia came
S1: out with this concept of an LLM wiki. So I
S1: basically took because Pi has been doing this already, I
S1: basically have every idea I've ever had kind of brought
S1: into this concept. It's actually listed, right? You have full
S1: data on the knowledge. Look at this. This is every
S1: document for how Pi works. It's all in here. And
S1: guess what? Kai can read it and everyone can read it.
S1: Look at all the different skills and what they do.
S1: All of our different hooks that we have implemented are bold.
S1: That's a little bit sensitive. Can't show that one security
S1: system won't show that one performance. Yeah. Just absolutely insane. Oh,
S1: this is like, how much it's costing me. That's frightening.
S1: And here's the assistant. Here's Kai. He's online. He's doing tasks.
S1: We've got different, you know, scheduled tasks and stuff like that.
S1: This is just like absolutely insane. I can't tell you
S1: how powerful it is to have this all in one place,
S1: organized in this way, oriented around your life, your human life,
S1: instead of around the tech itself. The tech is not
S1: the point. The human is the point. All right, so
S1: that's what I wanted to talk about in this video.
S1: Essentially combination of multiple ideas. But the central theme is
S1: that I think it's very clear where all of this
S1: personal AI tech is going. And the reason I like
S1: to offer this is because it can be very stressful
S1: to constantly be tracking harnesses, constantly be tracking different platforms,
S1: different chatbots, different agents. Oh, which platform should I use?
S1: Blah blah blah. Think further out. Think who is my da?
S1: What capabilities am I giving my da? Have I defined
S1: everything about myself. And given that context to my day,
S1: and have I defined what my ideal life looks like?
S1: Have I defined what ideal state looks like for me,
S1: for my businesses, for my finance, for my health, for
S1: my relationships? Define what ideal state looks like. Make it
S1: very clear to your Da that their goal is to
S1: use all these capabilities, all these skills I've got what?
S1: What is it? Over 100 skills. Got all these skills proactively,
S1: not reactively. Proactively monitoring for the current state. AM I
S1: surrounded by someone that's like looking over my shoulder and
S1: trying to steal something? AM I surrounded by someone who's
S1: about to steal my phone? Is someone about to attack me?
S1: Is someone following me on the street in the middle
S1: of the night? There's safety issues. There's enhancement issues. All
S1: of this encapsulated into a structure that is visible and
S1: understandable by your Da. I think it's incredibly powerful. I
S1: think it's a really powerful way to think about where
S1: things are going. And I really look forward to seeing
S1: what you do with this idea. Respond with feedback. Let
S1: me know what you think and we'll see you in
S1: the next one.