Evaluation by Gemini AI of the Original Report

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Imagine for a second that you were
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just walking through this completely
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empty, unpopulated ravine. Some are like
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Montana, maybe. Yeah, exactly like
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Montana. Yeah. And you're a student, you
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know, maybe 16 or 17 years old.
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OK And you spot this strange uncataloged
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weed just growing near a Creek bed.
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So you collect a sample, you scan it with
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your phone and you upload the data, and
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then like 24 hours later, this whole
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network of student taxonomists who are
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just working from their laptops across
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the country, they verify that you've
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actually found a brand new species. Ohh,
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wow, right. And it doesn't stop there.
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Within a month, an artificial
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intelligence system. Has helped draft an
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actual patent for this plant's unique
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medicinal properties and your name That
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is wild. And it provides the
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architectural blueprints for a completely
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automated solar powered farm to harvest
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it. It sounds like utopian science
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fiction, right? It really does. It sounds
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like the plot of, I don't know, a
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deeply optimistic solar punk novel. You
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know, the kind of story where technology
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actually saves us instead of just
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isolating us? Exactly. Yeah. And I know
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what you're thinking as you listen to
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this deep dive today. You're probably
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thinking, well, this sounds like an
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impossible utopia because I thought the
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exact same thing when I first read the
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source document for today's topic. But we
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aren't looking at fiction. No, we are
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not. We are exploring this highly
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detailed, staggeringly ambitious
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educational framework called the
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Universal System of Knowledge, which is
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just a massive title. It is. It
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was created by Jesus Gonzalez Bedoya for
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a platform known as Doc Uplay. And
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our mission today is to really just
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unpack this entire. Blueprint, right?
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Because I mean, whether you view it as
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a logistical miracle or just a wildly
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idealistic dream, its goal is to
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literally improve the world. Yes, through
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Internet powered learning for all people
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at any age throughout their entire lives.
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It's just, it's incredible. What's most
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striking about the source material, I
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think, is it's absolute. Refusal to
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accept the prevailing narrative of doom,
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you know, right? Regarding our
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technological future? Ohh, 100%. Because
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we are currently just surrounded by
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conversations about what we are going to
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lose in the coming decades, right? Like
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jobs lost to automation. Exactly. Or
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humanity losing its connection to nature?
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Or algorithms boxing us into echo
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chambers. It's all so heavy. It is.
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But the Docket Play Framework looks at
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this impending digital and robotic
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revolution and completely flips that
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script. It envisions a system that uses
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the very tools of automation to elevate
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human potential. OK, let's unpack this,
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because the sheer scale of this project
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is. Just mind boggling. It really is.
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We're talking about a curriculum of
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50,000 systematic courses 50,000 Yeah,
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and utilizing millions of legally sourced
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government files. We are talking about AI
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avatars that literally teach you how to
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farm peas. The peas. We definitely have
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to talk about the peas later. Ohh,
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we're. Absolutely going to get into the
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mechanics of the pea farming, but before
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we get to any of the specific subjects,
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you know, the robotics or the biology, we
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have to look at the philosophical engine
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driving the whole machine, right? The
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bedrock of it all, because this platform
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isn't just trying to teach you facts,
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it's trying to fundamentally rewire how
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you perceive reality. And the
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foundational motto of the platform sets a
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very distinct tone right out of the gate.
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It really does. The creator explicitly
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states that the system is built on quote
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pro objectivism versus April heuristic
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subjectivism. OK, I have to admit, when I
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hit that phrase in the documentation, my
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brain just threw up a little error code.
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And that's completely fair. It's intense.
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Yeah. Like April, Ristic subjectivism.
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OK, this sounds like a phrase designed to
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torture college freshmen. It does for
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someone just sitting at their laptop
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trying to learn a new skill. What does
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that actually mean in practice? So it is
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dense academic terminology, but the
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underlying concept is actually a direct
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response to a very common. Modern
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anxiety. OK, think about how we
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consume information today. There is this
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pervasive feeling, especially among young
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learners, that everything is subjective.
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Ohh absolutely. That every piece of
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information, every historical event,
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every scientific claim is just someone's
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opinion, right? Heavily colored by their
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personal biases. Where their societal
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constructs right, Everything has an
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angle. Exactly, that is April Ristic
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subjectivism. The assumption that a
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priori, which means before you even look
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at the facts, the truth is already
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obscured by perspective, making objective
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reality basically impossible to grasp. It
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is so exhausting you feel like you can
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never just learn. The subject without
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first having to navigate an absolute
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minefield of hot takes. Yeah, and
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political spins and cultural baggage. You
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spend more time analyzing the bias of the
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textbook than the actual subject of the
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textbook. And the Play framework
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identifies that exact exhaustion as a
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massive barrier to education. Makes
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sense. So to dismantle it the platform.
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Oops. What is known as the
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phenomenological method? Yeah. They
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specifically anchor this in the work of
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Edmund Husserl, who was an early 20th
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century philosopher. His famous German
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motto was sued in Zach and Selbst, which
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translates simply to to things
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themselves. To things themselves. Right.
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And the document also cites the Spanish
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philosopher. Xavier Zubiri, who
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articulated the idea as leave things as
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they are to know them as they are, Leave
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things as they are to know them as they
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are. There is something just incredibly
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relieving about that instruction. It
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completely changes the cognitive load on
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the student. Yeah. The system aims to
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free knowledge from the omnipresent
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political prejudices of the right and the
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left. It argues that if we can
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train ourselves to approach material
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reality without prejudice, we can
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genuinely know the essence of things.
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Wow. The objective world exists and it is
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knowable. So it's essentially like taking
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off a pair of heavily tinted polarized
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sunglasses. I love that analogy. Right.
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Like for years you might have been
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looking at a landscape. Through filters,
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maybe cynical filters, maybe deeply
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political filters. And this philosophical
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approach is just handing you a wipe and
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saying take the glasses off. Exactly. You
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stopped trying to read the political
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subtext of the tree, and you finally just
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look at the vibrant, objective,
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pathological reality of the tree itself.
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It's an incredibly hopeful way to look at
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learning. That is a highly accurate way
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to visualize it. And the creator of the
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framework doesn't just view this as an
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intellectual exercise. You know, there is
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a profound ethical urgency to this
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philosophy. So well, the document
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explicitly states that the paramount
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ethical value for this educational
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project is the absolute equality of all
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humans regarding Internet. Opportunities.
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And this ties directly into their
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anticipation of the AI and robotic
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revolution risely because the source has
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acknowledged something that a lot of
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educational platforms just try to tiptoe
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around, which is that human work hours
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are going to be drastically reduced. The
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robots are in fact going to take over
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a massive amount of Labor. The document
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is very clear eyed about the trajectory
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of the current world. It points out that
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without a massive intervention, we are
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heading toward a severe inequality gap.
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Yeah, you'll have a small minority who
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understands how to leverage the digital
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revolution, and a massive global majority
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left entirely on the sidelines, which is
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terrifying. It is. The framework notes
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the very real possibility of populations
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being marginalized simply existing on a
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universal basic income because they have
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been rendered economically obsolete by
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automation. But again, they completely
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reject the pessimism of that outcome.
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Totally. They view it as an unprecedented
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opportunity. The logic of the framework
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is this. If we can instill
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this clear eyed, objective view of
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reality, objectivism, and pair it with a
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rigorous culture of effort, we can change
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the outcome, right? The document even
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mentions a religious foundation that
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motivates students to seek the true
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objective nature of the world by offering
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progressively autonomous and incredibly
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affordable. Education, the goal is to
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prepare everyone globally to positively
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share whatever human work hours remain. I
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really appreciate the proactive nature of
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that stance. Me too. It's not just a
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passive acceptance. It's not saying, well
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the algorithms won, let's just find
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algorithms are here, so let's build an
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educational network. Powerful enough to
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elevate every single human mind to its
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maximum potential. Nobody gets sidelined
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on a basic income. Exactly. Everybody
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becomes a capable, essential participant
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in managing this new automated world. It
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provides profound purpose if a student
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believes that the world is objectively
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knowable and they are handed to. System
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designed to give them equal access to
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that knowledge. Their potential is no
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longer capped by their geographic or
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economic starting point, which is just a
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beautiful foundation to build on. OK, so
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I am on board with the philosophy. We
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have taken the tinted glasses off. We are
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looking at the material world as it truly
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is. But once a student has this
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unprejudiced. View of reality, what do
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they actually do with it? Yeah, that's
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the big question. How do they build with
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it? And this leads us to the first major
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pillar of the curriculum and frankly, the
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part of the source material that required
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me to completely rethink my own
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education. Ohh. Absolutely. We are
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looking at project one of the play
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universe, which is the platform's bold.
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Triumphant reinvention of mathematics.
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Yeah. Project 1 is titled Edu Industry,
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and the stated goal of this project
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is nothing less than the
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reindustrialization of the world through
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education, which is a staggeringly
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massive goal. Huge. And the framework for
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how they plan to achieve this is
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incredibly specific. The sources detail
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4600 individual courses. Wow. And they
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are all structured around the Standard
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Industrial Classification system where
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the the use of the SIC codes is
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such a brilliant logistical move. Could
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you explain what that is for the
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listener? Sure, The Standard Industrial
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Classification is a system developed by
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the US government to classify. Every
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single type of business establishment by
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the type of economic activity it performs
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OK from dairy farming to semiconductor
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manufacturing, there is a code for it,
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right? So the creator of Docker Play
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didn't invent a new curriculum structure.
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They mapped their courses directly onto
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the existing blueprint of the global
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economy that is so smart and to fuel
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these 4600. Industry specific courses.
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They are pulling in millions of
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real legally sourced files from official
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portals like USA Gov and Europa
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US. The documentation points out that
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they're utilizing Title 17 of the
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US Code, specifically Section 105
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regarding copyrights as well as Creative
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Commons. Licenses in Europe to legally
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integrate this massive repository of
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human knowledge. They're essentially
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taking the raw data of Western
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governments and industries, the actual
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regulation, statistics and procedures,
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and feeding it directly into the
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educational platform. But as you hinted
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at, what's fascinating here is that the
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most radical shift in the Edu industry
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project. Isn't just the data they are
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using? Yeah, it's their fundamental
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philosophical approach to the language of
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industry itself, which is mathematics.
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This part genuinely blew my mind because
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if you ask the average person on the
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street how they feel about math, you're
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going to uncover a lot of deep seated
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academic trauma. Ohh for sure. So many
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people hit a wall in high school
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calculus. Algebra. And they just walk
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away feeling fundamentally inadequate.
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That trauma is incredibly widespread. And
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what the doctor Play framework does is
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identify exactly where that anxiety comes
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from on a historical philosophical level.
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OK, the creator argues that the modern
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teaching of mathematics is essentially a
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victim of ancient philosophies.
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Specifically calling out Pythagoreanism
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and its direct air Platonism. OK, let's
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break that down for a second. When we
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talk about Platonism in the context of a
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kid trying to pass an elder test, what
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does that actually mean? So Platonism in
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this context is the belief that numbers,
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equations, and mathematical concepts are
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these mystical?Pre-existing entities,
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right? It is the idea that math exists
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independently of human thought just
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floating out there in the fabric of the
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universe, and humans simply discover it.
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Like an explorer discovering a new
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continent, exactly. Or an astronomer
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finding a new star, right? And if you are
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a student and your teacher presents math
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as this divine preexisting language of
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the cosmos. It makes the subject
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incredibly intimidating. Absolutely. It
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elevates the math way, way high above the
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student. Precisely. If a student
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struggles to understand a platonic
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mathematical concept, the psychological
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implication is that they are disconnected
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from the fundamental truth of the
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universe. Wow. They feel uniquely
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deficient. So the donkey play system
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proposes a radical. Intensely uplifting
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inversion of this idea. They say
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mathematics is not discovered, it is
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invented. Invented. Just the sound of
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that completely changes the dynamic,
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doesn't it? The framework defines math
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strictly as a tool, a tool created
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by human reason for a very specific
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purpose, to measure the material world.
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To measure weight, to measure extension,
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duration or force. I love this concept so
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much. If you think about a hammer, you
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don't go out into the vacuum of space and
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quote UN quote, discover a hammer
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floating among the asteroids, right? You
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would vent a hammer because you're
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standing in a field. You have a piece of
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wood and you need to drive a nail into
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it. You have a practical problem, so you
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build a practical. Cool. Exactly. This
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philosophy turns every math student from
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a passive, intimidated observer trying to
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decode the mind of God into an
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active and powered inventor. The
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psychological shift that creates is
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monumental. Suddenly the math isn't
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mastering the student, the student is
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mastering the tool. It's so empowering.
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And to ensure this. Philosophy actually
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makes it into the curriculum. The
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framework gives teachers a very strict,
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empowering set of questions. What are
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they? Every single time a mathematical
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problem is posed, the instruction must
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begin by clarifying 2 things. Number one,
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what specific magnitude are we trying to
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measure? And #2. What mathematical tool
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have humans invented to measure it? Hold
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on, let me play devil's advocate for a
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second. If I'm taking one of these idol
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industry courses, say I'm looking at the
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SIC code for commercial construction. OK,
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how did those two questions practically
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change how I learned geometry? Well, it
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grounds the abstraction instantly instead
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of starting with an abstract formula on a
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whiteboard, the teacher says. We have a
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physical piece of land. We need to know
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how large it is before we can build. The
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magnitude we're dealing with is
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extension. OK? The specific tool our
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ancestors invented to measure extension
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is called geometry. Let's pick up the
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tool and use it on this field. Boom,
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done. It makes complete logical sense. It
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completely removes the mystery. Document
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reinforces this by quoting Galileo. He
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said natural laws are written in
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mathematical language, right? The system
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insists that any mathematical
407 [00:15:05]
construction that cannot clearly answer
408 [00:15:07]
the question what magnitude is this
409 [00:15:10]
measuring should simply be avoided in
410 [00:15:12]
this context. Yeah, it actively strips
411 [00:15:15]
away the confusing purely. Abstract
412 [00:15:17]
theoretical math that alienates so many
413 [00:15:20]
learners and refocuses entirely on
414 [00:15:22]
practical application. It is a total
415 [00:15:24]
demystification of the hard sciences, and
416 [00:15:27]
the creator specifically notes that
417 [00:15:29]
overcoming these skeptical and nominalist
418 [00:15:31]
philosophies will have wonderfully
419 [00:15:33]
positive consequences on a global scale.
420 [00:15:36]
The document explicitly. Highlights the
421 [00:15:38]
potential for rapid uplift in Hispanic
422 [00:15:40]
countries through this method. By
423 [00:15:42]
treating the material world as something
424 [00:15:44]
that can be known in its essence,
425 [00:15:46]
objectivism, and accurately measured with
426 [00:15:48]
our invented mathematical tools, the
427 [00:15:50]
framework envisions opening the
428 [00:15:51]
floodgates to rapid, confident progress.
429 [00:15:53]
That's incredible. It accelerates student
430 [00:15:55]
confidence in science and technology.
431 [00:15:57]
Cross populations that might have
432 [00:15:59]
previously felt excluded from the
433 [00:16:01]
industrial conversation. It paints this
434 [00:16:03]
beautiful vision of a global
435 [00:16:05]
reindustrialization fueled not by massive
436 [00:16:07]
corporations, but by pure, confident,
437 [00:16:09]
democratized human ingenuity. Absolutely.
438 [00:16:11]
You look at the world, you pick
439 [00:16:14]
up the math tool, and you build
440 [00:16:17]
something. Useful, right? But you know,
441 [00:16:19]
that brings up a really crucial
442 [00:16:21]
logistical question. Industry doesn't
443 [00:16:22]
exist in a digital vacuum. If IDEO
444 [00:16:24]
industry teaches millions of students to
445 [00:16:27]
build and measure the industrial world,
446 [00:16:29]
where do the raw materials come from?
447 [00:16:31]
That is the big question. How does doggy
448 [00:16:34]
play prevent this army of newly empowered
449 [00:16:36]
industrialists from just. Clear cutting
450 [00:16:38]
the planet. That is a critical
451 [00:16:40]
transition, and the framework addresses
452 [00:16:42]
it with what might be the most
453 [00:16:44]
geographically ambitious part of the
454 [00:16:46]
entire blueprint. OK, we are moving from
455 [00:16:48]
the industrial to the natural world. This
456 [00:16:50]
is Project 2, Biodiversity, and the goal
457 [00:16:53]
of Project 2 is stated so casually in
458 [00:16:56]
the text, but the implications are
459 [00:16:58]
staggering. The objective is to literally
460 [00:17:00]
complete the catalog of Earth's
461 [00:17:02]
biodiversity, which is an undertaking of
462 [00:17:04]
colossal proportions, truly. Because
463 [00:17:05]
despite all our technology, we still
464 [00:17:07]
share this planet with millions of
465 [00:17:09]
unknown uncataloged species, right? And
466 [00:17:11]
the way Docker Play plans to map them is
467 [00:17:14]
by gamifying scientific discovery on a
468 [00:17:16]
scale that I don't think has ever been
469 [00:17:18]
proposed. Before this massive the
470 [00:17:20]
framework maps out approximately 2
471 [00:17:22]
million specific courses. And these
472 [00:17:24]
courses aren't based on abstract
473 [00:17:27]
concepts. They are focused specifically
474 [00:17:29]
on unpopulated place names in the United
475 [00:17:31]
States, categorized meticulously county
476 [00:17:33]
by county. The mechanism here bridges the
477 [00:17:36]
gap between a student staring at a
478 [00:17:39]
screen. And a student actually
479 [00:17:41]
interacting with the physical world. Yes,
480 [00:17:43]
exactly. The system calls for quote field
481 [00:17:45]
researchers. It actively requires
482 [00:17:47]
students to close their laptops, go
483 [00:17:49]
outside and physically enter these
484 [00:17:50]
unpopulated areas to gather raw data
485 [00:17:53]
across 3 categories. The animal Kingdom,
486 [00:17:55]
the plant Kingdom and the mineral
487 [00:17:57]
Kingdom. And here is where we see the
488 [00:17:59]
division of labour. That mimics
489 [00:18:01]
real-world scientific communities. Ohh.
490 [00:18:03]
Explain that the student out in the
491 [00:18:06]
field isn't necessarily the one making
492 [00:18:08]
the final scientific determination. They
493 [00:18:10]
gather the data, you know, photos,
494 [00:18:12]
environmental metrics, samples, and they
495 [00:18:14]
send that data back into the Dock
496 [00:18:17]
Uplay platform where it meets another
497 [00:18:19]
group of students. Actually, the data
498 [00:18:22]
flows to the taxonomists. These are
499 [00:18:24]
students who are specifically trained in
500 [00:18:26]
courses 8-9 and ten of the framework,
501 [00:18:29]
which correspond to the animal, plant and
502 [00:18:31]
mineral kingdoms respectively. These
503 [00:18:33]
taxonomists analyze the field data sent
504 [00:18:35]
from the unpopulated counties to
505 [00:18:37]
determine if the species in question is
506 [00:18:40]
actually on cataloged. OK, I have to
507 [00:18:43]
interject here because while this sounds
508 [00:18:45]
incredible, I mean, it's essentially
509 [00:18:47]
playing Pokémon Go but for real world
510 [00:18:50]
medicinal plants in an unpopulated
511 [00:18:52]
county, I immediately have safety and
512 [00:18:54]
logistical concerns. That's a very
513 [00:18:56]
natural reaction, right? The framework is
514 [00:18:59]
actively incentivizing teenagers to hike
515 [00:19:01]
into unpopulated. Potentially hazardous
516 [00:19:02]
wilderness areas in places like Montana
517 [00:19:04]
or Alaska to look for unknown minerals
518 [00:19:07]
and plants. How does the document address
519 [00:19:09]
the sheer liability of sending students
520 [00:19:11]
into the wild is a very fair logistical
521 [00:19:14]
critique, while the provided source
522 [00:19:16]
material focuses heavily on the
523 [00:19:18]
pedagogical and economic mechanisms
524 [00:19:19]
rather than the micro level safety
525 [00:19:21]
waivers. The underlying structure of the
526 [00:19:24]
framework implies a highly organized
527 [00:19:25]
local level of engagement. OK, remember
528 [00:19:28]
this is categorized county by county. The
529 [00:19:30]
vision isn't necessarily dropping a kid
530 [00:19:32]
out of a helicopter into the deep Alaskan
531 [00:19:35]
Bush, right? Right. It is about exploring
532 [00:19:38]
the unpopulated ravines, local State Park
533 [00:19:40]
borders, and undeveloped land within
534 [00:19:41]
their own local jurisdictions. The
535 [00:19:44]
framework provides the structural
536 [00:19:45]
incentive, but the execution relies on
537 [00:19:47]
local integration. OK, so assuming they
538 [00:19:49]
navigate the local terrain safely, the
539 [00:19:51]
data goes to the taxonomists. And they
540 [00:19:54]
aren't just cataloging these things for
541 [00:19:56]
the sake of making a list. The document
542 [00:19:59]
specifies that they are actively looking
543 [00:20:01]
for species that have nutritional. For
544 [00:20:04]
medicinal value. And this brings us to
545 [00:20:06]
the ultimate reward mechanism, the
546 [00:20:08]
massive positive incentive that drives
547 [00:20:10]
the entire biodiversity engine. This is
548 [00:20:12]
the crazy part. If these students, the
549 [00:20:15]
field researcher and the taxonomists
550 [00:20:16]
working together discover a new species
551 [00:20:19]
that possesses medicinal or nutritional
552 [00:20:20]
value, the platform actively supports the
553 [00:20:23]
process. Of getting that discovery
554 [00:20:25]
patented. This is the part where my jaw
555 [00:20:27]
actually dropped. I know an educational
556 [00:20:29]
platform facilitating actual intellectual
557 [00:20:30]
property law for its students. I'm
558 [00:20:32]
struggling to see how a platform manages
559 [00:20:35]
the legal complexities of securing a
560 [00:20:37]
patent for a 16 year old. The ambition is
561 [00:20:40]
breathtaking. The framework doesn't just
562 [00:20:41]
say you know, you get a Gold Star.
563 [00:20:44]
It envisions providing the technological
564 [00:20:46]
and management scaffolding required to
565 [00:20:47]
navigate the patent process for these new
566 [00:20:50]
animal, plant and mineral species. It
567 [00:20:52]
treats the student not as a subordinate
568 [00:20:54]
learner, but as a genuine scientific
569 [00:20:56]
pioneer. And the vision doesn't even stop
570 [00:20:58]
at securing the patent right? Because a
571 [00:21:01]
patent is just a piece of paper unless
572 [00:21:03]
you do something. Exactly the sources
573 [00:21:06]
explicitly mentioned creating entire
574 [00:21:07]
franchises around these student
575 [00:21:09]
discoveries. The blueprint outlines the
576 [00:21:11]
creation and management of hydro solar
577 [00:21:14]
plants to supply the necessary energy and
578 [00:21:17]
water resources, alongside physical farms
579 [00:21:19]
for breeding the newly discovered animal
580 [00:21:21]
species or fish farms for aquatic
581 [00:21:24]
discoveries. To trace the causality here,
582 [00:21:26]
a student takes a course on the
583 [00:21:28]
unpopulated geography of their local
584 [00:21:30]
county right. They go for a hike and find
585 [00:21:33]
a unique plant. They upload the data. A
586 [00:21:35]
student taxonomist in a different state
587 [00:21:37]
analyzes it and confirms it's an
588 [00:21:39]
uncataloged species with high nutritional
589 [00:21:41]
values. The Doctor Play framework helps
590 [00:21:42]
them secure the patent. And then
591 [00:21:45]
using the industrial skills from the auto
592 [00:21:48]
industry courses, they literally
593 [00:21:50]
franchise a hydro solar powered farm to
594 [00:21:53]
grow this plant and introduce it into
595 [00:21:56]
the global food supply. It is the
596 [00:21:58]
ultimate fusion of theoretical learning,
597 [00:22:01]
physical activity, environmental
598 [00:22:02]
stewardship and real world
599 [00:22:03]
entrepreneurship. It completely. Shatters
600 [00:22:05]
the artificial walls of the traditional
601 [00:22:08]
classroom and turns the entire natural
602 [00:22:10]
world into a laboratory of hope and
603 [00:22:13]
economic opportunity. And to ensure the
604 [00:22:15]
students stay engaged throughout this
605 [00:22:17]
potentially years long process, the
606 [00:22:19]
system utilizes A deeply layered
607 [00:22:21]
gamification structure. Gamification is
608 [00:22:22]
the engine of engagement, here the
609 [00:22:24]
framework. Outlines multi level rankings
610 [00:22:26]
across the platform. There are
611 [00:22:28]
leaderboards at the federal, state, and
612 [00:22:31]
county levels. Like a high scoreboard.
613 [00:22:33]
Exactly. Rankings for the number of
614 [00:22:35]
active field researchers in a specific
615 [00:22:37]
county. Rankings for the taxonomists who
616 [00:22:40]
successfully cataloged the most species.
617 [00:22:42]
Rankings for the sheer number of patents
618 [00:22:44]
secured by a region. The document even
619 [00:22:47]
plans for physical, real world
620 [00:22:49]
exhibitions. Imagine the profound pride
621 [00:22:50]
of going to a doctor play festival,
622 [00:22:53]
representing your state, and seeing a
623 [00:22:55]
medicinal plant on display that you
624 [00:22:57]
personally discovered in the dirt near
625 [00:22:59]
your hometown. Ohh. It would be
626 [00:23:01]
incredible knowing that it is now
627 [00:23:03]
patented, being cultivated on a solar
628 [00:23:05]
farm, and actively. Helping people. It
629 [00:23:07]
is phenomenally uplifting. It creates an
630 [00:23:10]
army of highly motivated, philosophically
631 [00:23:13]
grounded scientists and industrialists.
632 [00:23:15]
It really does. But the creator
633 [00:23:17]
of Docky Play is Jesus. Gonzalez
634 [00:23:20]
Bedoya recognizes a crucial historical
635 [00:23:23]
truth. Pure, unbridled industrial and
636 [00:23:25]
scientific progress. Without an ethical
637 [00:23:27]
counterbalance can become dangerous.
638 [00:23:29]
Yeah, history has shown us time and again
639 [00:23:31]
that just because we can build something
640 [00:23:34]
or patent something doesn't necessarily
641 [00:23:35]
mean we should. Right? Which brings us to
642 [00:23:38]
the necessary counterbalance in the
643 [00:23:40]
curriculum. We are moving into projects 3
644 [00:23:42]
and 4, Humanities and Social Sciences.
645 [00:23:44]
Now looking at the numbers in the
646 [00:23:46]
outline. Out of the 50,000 total
647 [00:23:49]
systematic courses, the humanities only
648 [00:23:50]
make U about 20. That 20 encompasses
649 [00:23:53]
philosophy, religion, Fine Arts,
650 [00:23:55]
literature, and history. And while 1/5
651 [00:23:57]
might seem like a smaller slice compared
652 [00:23:59]
to the massive footprint of the hard
653 [00:24:02]
sciences and industrial projects, the
654 [00:24:04]
document explicitly deems this section as
655 [00:24:06]
absolutely. Vital. Vital in what way? It
656 [00:24:09]
specifically calls out its necessity for
657 [00:24:11]
the impending Genai era, the era of
658 [00:24:13]
generative artificial intelligence. Why
659 [00:24:14]
this specific cow out for the AI era?
660 [00:24:17]
I mean, if the robots are doing the
661 [00:24:20]
heavy lifting and the students are busy
662 [00:24:22]
inventing mathematical tools and
663 [00:24:23]
patenting biology, why is it so crucial
664 [00:24:26]
that this study?18th century poetry
665 [00:24:28]
or ancient philosophy. Because navigating
666 [00:24:31]
a world defined by hyper advanced
667 [00:24:33]
automated technology requires uniquely
668 [00:24:35]
human qualities that algorithms simply
669 [00:24:37]
cannot replicate. OK, the framework
670 [00:24:39]
states that the humanities are the
671 [00:24:42]
most effective vehicle for developing
672 [00:24:44]
deep thinking skills. Synthesis and
673 [00:24:47]
critical analysis. These are the exact
674 [00:24:49]
skills required for creativity,
675 [00:24:51]
innovation, sociability, and most
676 [00:24:52]
importantly, governance. Governance is
677 [00:24:54]
the keyword there. If you have a
678 [00:24:57]
generation of students with the power to
679 [00:24:59]
engineer biology and build automated
680 [00:25:01]
industries, you desperately need them to
681 [00:25:04]
have a calibrated moral compass.
682 [00:25:06]
Precisely. And the source material
683 [00:25:08]
provides a brilliant epistemological.
684 [00:25:09]
Distinction to explain how these subjects
685 [00:25:12]
are taught. What's the distinction?
686 [00:25:13]
Earlier we talked about objectivism and
687 [00:25:16]
knowing things as they are in the hard
688 [00:25:19]
or demonstrative sciences like the math
689 [00:25:21]
and natural sciences we just explored.
690 [00:25:23]
Reality is material because it is
691 [00:25:25]
material. It is mathematize. Able. You
692 [00:25:27]
can prove a concept within equation.
693 [00:25:30]
Magnitude are we measuring? What tool are
694 [00:25:32]
we using? But the humanities deal with
695 [00:25:35]
immaterial realities. The sources
696 [00:25:36]
specifically list moral, aesthetic,
697 [00:25:38]
legal, and political values. You can't
698 [00:25:40]
put a ruler on those. Exactly. You cannot
699 [00:25:43]
put a moral value on a physical scale
700 [00:25:45]
and weigh it. You cannot use a geometric
701 [00:25:48]
tool to measure the exact quantity of
702 [00:25:51]
justice. Contained within a new piece of
703 [00:25:53]
legislation which raises a really
704 [00:25:55]
interesting conflict. If we can't
705 [00:25:56]
mathematically measure justice or
706 [00:25:58]
morality, do we just throw our hands up
707 [00:26:00]
and say it's all subjective opinion?
708 [00:26:02]
Well, because we established in section
709 [00:26:04]
one that this platform fundamentally
710 [00:26:06]
reject April ristic subjectivism. It
711 [00:26:07]
hates the idea that everything is just
712 [00:26:10]
relative. It is a fascinating.
713 [00:26:11]
Philosophical needle to thread and the
714 [00:26:14]
frameworks approach is incredibly
715 [00:26:15]
elegant. They classify the humanities as
716 [00:26:17]
argumentative or soft sciences
717 [00:26:19]
argumentative. The argument is that just
718 [00:26:21]
because an immaterial reality cannot be
719 [00:26:23]
mathematically proven does not mean it is
720 [00:26:26]
immune to knowledge. It is simply a
721 [00:26:28]
different type of knowledge. It is
722 [00:26:30]
knowledge that is gradual. And it is
723 [00:26:33]
achieved by building more or less
724 [00:26:35]
credible logical arguments. Give me a
725 [00:26:37]
concrete example of that distinction.
726 [00:26:39]
Sure. If you ask an Edu industry student
727 [00:26:42]
to determine the area of a solar farm,
728 [00:26:45]
they use geometry. The answer is
729 [00:26:47]
definitive and demonstrative. If you ask
730 [00:26:49]
a humanities student whether the
731 [00:26:51]
resources from that solar farm. Could be
732 [00:26:53]
distributed equally or based on labor
733 [00:26:55]
input. You are dealing with a moral and
734 [00:26:57]
political value. You cannot solve it with
735 [00:27:00]
geometry. Makes sense, but according to
736 [00:27:02]
the framework you don't just rely on
737 [00:27:04]
emotional bias either. You use the tools
738 [00:27:06]
of philosophy and history to construct a
739 [00:27:08]
highly credible logical argument to
740 [00:27:10]
arrive at the most objective truth
741 [00:27:12]
possible regarding. Human fairness So
742 [00:27:14]
even though the object of study is
743 [00:27:16]
invisible, like ethics or aesthetics, the
744 [00:27:18]
rigorous objective approach remains the
745 [00:27:20]
same. Exactly. If we connect this to the
746 [00:27:23]
bigger picture, this is how the system
747 [00:27:26]
ensures that the humans programming the
748 [00:27:28]
future have the ethical grounding to
749 [00:27:30]
manage their innovations responsibly, it
750 [00:27:32]
teaches students. To approach these
751 [00:27:34]
immaterial objects in an unprejudiced
752 [00:27:36]
way, stripping away the reactionary
753 [00:27:38]
biases of modern politics and learning
754 [00:27:41]
how to construct solid, deeply reasoned
755 [00:27:43]
arguments. And how did the social
756 [00:27:46]
sciences fit into this epistemology?
757 [00:27:48]
Project 4 mentions over 10,000 courses
758 [00:27:50]
covering heavily structured topics like
759 [00:27:52]
the US. Constitution, US Code, and the
760 [00:27:55]
Dewey Decimal Classification Class 3. The
761 [00:27:58]
document beautifully categorizes the
762 [00:27:59]
social or behavioral sciences as
763 [00:28:01]
epistemologically mixed or hybrid fibre.
764 [00:28:03]
Yeah, because these sciences study human
765 [00:28:05]
behavior and the structures of societies,
766 [00:28:08]
their objects of study straddle the line.
767 [00:28:10]
They are partially demonstrative. You can
768 [00:28:13]
absolutely measure. Population
769 [00:28:14]
demographics, voting statistics, or
770 [00:28:15]
economic output. Right, but they're also
771 [00:28:18]
partially argumentative because to
772 [00:28:19]
understand why those statistics exist,
773 [00:28:21]
you have to analyze the immaterial laws,
774 [00:28:24]
morals, and historical motivations
775 [00:28:26]
driving the human behavior. It creates a
776 [00:28:29]
perfectly balanced intellectual diet. You
777 [00:28:31]
have aid industry providing the hyper
778 [00:28:33]
rational. Mathematical skills to build
779 [00:28:35]
the infrastructure of the future. You
780 [00:28:37]
have biodiversity teaching you to
781 [00:28:39]
actively explore, respect and integrate
782 [00:28:41]
with the natural world. And you have the
783 [00:28:44]
humanities and social sciences ensuring
784 [00:28:46]
that you develop a profound, ethically
785 [00:28:48]
balanced vision of mankind so that you
786 [00:28:50]
wield your industrial power with wisdom.
787 [00:28:53]
It is the blueprint. For a complete,
788 [00:28:55]
exceptionally well-rounded citizen of the
789 [00:28:56]
future. But let's take a step back and
790 [00:28:59]
look at the sheer logistics of what we
791 [00:29:01]
have just described. Right. We are
792 [00:29:03]
talking about a platform with 50,000
793 [00:29:05]
courses. That's a lot. We are talking
794 [00:29:07]
about a student who is expected to learn
795 [00:29:09]
the US Civil Code, hike into the
796 [00:29:12]
wilderness to patent unknown plant
797 [00:29:13]
species, invent mathematical tools. Build
798 [00:29:15]
solar farms and write complex
799 [00:29:16]
philosophical arguments? Yeah. Honestly,
800 [00:29:18]
if I'm a student logging onto this
801 [00:29:20]
platform on day one, how do I not just
802 [00:29:23]
drown in the magnitude of it all? This
803 [00:29:25]
sounds like a 90 hour a week job, not
804 [00:29:28]
an educational platform. That reaction is
805 [00:29:30]
exactly why the final piece of this
806 [00:29:32]
framework is so critical. Ambition of
807 [00:29:35]
the curriculum would be impossible
808 [00:29:37]
without the technological engine driving
809 [00:29:39]
it. OK, thank God. This is where the
810 [00:29:42]
digital universe of Docus Play truly
811 [00:29:44]
comes alive and where the platform
812 [00:29:46]
provides the ultimate, relentlessly
813 [00:29:47]
positive support system. It guides the
814 [00:29:50]
learner every single step of the way
815 [00:29:52]
through a Symphony of highly specialized
816 [00:29:54]
AI branches. Section 5, the
817 [00:29:57]
AI ecosystem, the source document breaks
818 [00:29:59]
down the artificial intelligence support
819 [00:30:01]
into distinct hyper specialized
820 [00:30:03]
personalities or functional branches,
821 [00:30:05]
right? They are all entirely focused on
822 [00:30:08]
removing friction and preventing that
823 [00:30:10]
exact feeling of overwhelm we just talked
824 [00:30:13]
about. Let's start with the foundational
825 [00:30:15]
layer which is generate. I Generate AI
826 [00:30:18]
is the first point of contact. Its
827 [00:30:20]
primary function is to leverage that
828 [00:30:23]
massive, intimidating database of legal
829 [00:30:24]
and official government files we
830 [00:30:26]
mentioned earlier and make them
831 [00:30:28]
instantaneously accessible and hyper
832 [00:30:29]
personalized for the student. When you
833 [00:30:32]
start a course based on a dense European
834 [00:30:34]
or U.S. government file, generate AI
835 [00:30:37]
instantly. Provides combined digestible
836 [00:30:38]
summaries. But it's not just a passive
837 [00:30:41]
summarization tool. It interacts with the
838 [00:30:43]
student an incredibly dynamic ways. Umm.
839 [00:30:45]
I was particularly struck by the Student
840 [00:30:48]
Tascas feature mentioned in the text. The
841 [00:30:50]
Student Tasks blog is a beautiful
842 [00:30:52]
pedagogical tool. It allows the student
843 [00:30:55]
to ask intensely personal questions about
844 [00:30:57]
their. Own educational journey like what
845 [00:30:59]
they can query the AI asking things like
846 [00:31:01]
how would you rate my performance in
847 [00:31:04]
studying this specific course or what are
848 [00:31:06]
the most positive aspects of my study
849 [00:31:08]
habits or what specific advice can you
850 [00:31:10]
give me to overcome the difficulties I'm
851 [00:31:13]
having with this math concept. It is the
852 [00:31:15]
equivalent of having an endlessly
853 [00:31:17]
patient. Incredibly encouraging private
854 [00:31:18]
tutors sitting next to you 24/7. Exactly,
855 [00:31:21]
and to make sure the process of learning
856 [00:31:23]
government data doesn't become dry.
857 [00:31:25]
Generate AI is also responsible for
858 [00:31:27]
running daily gamified sessions. The
859 [00:31:29]
document lists Dacula Agus which are
860 [00:31:31]
missing word games based on the source
861 [00:31:34]
texts, and docu games which are rapid
862 [00:31:36]
fire file title games. It ensures that
863 [00:31:39]
interacting with dense industrial
864 [00:31:40]
classifications and legal codes remains
865 [00:31:42]
an interactive, addictive challenge. The
866 [00:31:44]
AI translates the raw data into a
867 [00:31:46]
playground. OK, so generated AI helps you
868 [00:31:49]
absorb the material, but what if you
869 [00:31:51]
actually want to execute an idea? What if
870 [00:31:54]
you want to take your Edo industry
871 [00:31:56]
knowledge and start a real business?
872 [00:31:59]
That brings us to the second branch,
873 [00:32:02]
Agentic AI. Agentic AI is where the
874 [00:32:04]
theoretical learning transitions into
875 [00:32:06]
tangible, real world action. This branch
876 [00:32:08]
of the AI is designed to analyze the
877 [00:32:11]
activities within your course and break
878 [00:32:13]
them down into highly automated,
879 [00:32:15]
actionable steps. But its true power lies
880 [00:32:17]
in its ability to literally program
881 [00:32:19]
specialized. FBI agents on behalf of the
882 [00:32:22]
student and then market those agents
883 [00:32:24]
directly to real world companies based on
884 [00:32:26]
their standard industrial classification
885 [00:32:28]
codes. This concept is so futuristic that
886 [00:32:30]
we need to ground it in a specific
887 [00:32:33]
example. The source document keeps
888 [00:32:34]
referring to a very specific agricultural
889 [00:32:37]
example. Production. Ah, the peas, PES
890 [00:32:39]
the vegetable. Let's say I am
891 [00:32:41]
a student taking a course map to the
892 [00:32:44]
SIC code for legume agriculture. Walk me
893 [00:32:46]
through exactly how this AI ecosystem
894 [00:32:49]
helps me. Let's trace the mechanics of
895 [00:32:51]
it. You are a student studying pea
896 [00:32:53]
farming. You've used Generate AI to
897 [00:32:55]
understand the real time statistics, the
898 [00:32:58]
USDA soil requirements, and the official
899 [00:33:00]
agricultural guidelines. We're growing
900 [00:33:01]
peas across different regions. OK, so I
901 [00:33:03]
understand the theory now. Agentic AI
902 [00:33:05]
steps in to help you execute. It helps
903 [00:33:08]
you automate the logistical process of
904 [00:33:10]
production. It can actually write the
905 [00:33:11]
code to create an AI agent, a standalone
906 [00:33:14]
piece of software that manages the supply
907 [00:33:16]
chain or the irrigation schedule for a
908 [00:33:18]
pea farm. And then agents, OK. Guy will
909 [00:33:21]
help you draft the marketing outreach to
910 [00:33:23]
sell that specific software to existing
911 [00:33:25]
real world agricultural companies that
912 [00:33:27]
operate under that exact IC code. O what
913 [00:33:30]
does this all mean? I'm a high school
914 [00:33:32]
student and why? Homework assignment
915 [00:33:34]
culminates in building and selling
916 [00:33:36]
specialized agricultural logistics
917 [00:33:37]
software to real corporations. That is
918 [00:33:39]
exactly what it sounds. The framework
919 [00:33:41]
gets even more physical than that because
920 [00:33:44]
farming isn't just software, it requires
921 [00:33:46]
physical labor and tools. Enter the third
922 [00:33:49]
AI branch, Manufacture AI. Manufacture AI
923 [00:33:51]
is the bridge between the digital code
924 [00:33:54]
and the physical Bert for your PC
925 [00:33:56]
farming project. Manufacture AI will
926 [00:33:58]
calculate the hyper specific soil
927 [00:34:00]
requirements. Of environmental conditions
928 [00:34:02]
needed for your region. OK, but here is
929 [00:34:04]
the truly revolutionary mechanism. It
930 [00:34:06]
will design custom digital avatars for
931 [00:34:08]
you, and it will generate video guides
932 [00:34:10]
showing those virtual avatars operating
933 [00:34:12]
3D printers. Wait, I need to push back
934 [00:34:15]
on the logistics of this again. It's one
935 [00:34:17]
thing to watch a video of an avatar
936 [00:34:20]
using a 3D printer. It's another thing
937 [00:34:22]
entirely for a kid to actually get their
938 [00:34:25]
hands on the tools. How does a software
939 [00:34:27]
platform manufacture physical farming
940 [00:34:29]
tools for a student? The framework
941 [00:34:30]
envisions manufacturer AI not just as a
942 [00:34:33]
video generator, but as a system that
943 [00:34:35]
provides the actual CAD files and
944 [00:34:37]
manufacturing blueprints. The vision
945 [00:34:38]
relies on the increasing democratization
946 [00:34:40]
of manufacturing, whether that means the
947 [00:34:42]
student. As a consumer grade 3D printer
948 [00:34:44]
at home Oregon, they take the AI
949 [00:34:46]
generated files to a local community
950 [00:34:48]
makerspace or a school fabrication lab.
951 [00:34:50]
Ohh I see the AI provides the exact
952 [00:34:53]
schematic needed to manufacture the
953 [00:34:54]
physical farming tools like a specialized
954 [00:34:56]
trowel or an irrigation valve required to
955 [00:34:59]
cultivate those peas. I cannot get over
956 [00:35:01]
the comprehensiveness of this. Yeah. It
957 [00:35:03]
is like having a magical virtual
958 [00:35:05]
agricultural extension office living
959 [00:35:07]
inside your laptop. It really is. It
960 [00:35:09]
teaches you the philosophy of objective
961 [00:35:11]
reality, it uses government data to teach
962 [00:35:14]
you the theory of peas, it programs a
963 [00:35:16]
business bot to sell your PEEL logistics
964 [00:35:19]
software, and it literally hands you the
965 [00:35:21]
digital blueprints to 3D. Went to trial?
966 [00:35:24]
You need to go out into the dirt
967 [00:35:26]
and plant the seeds yourself. Umm. It
968 [00:35:29]
turns every single learner into a fully
969 [00:35:31]
equipped full scale industrialist. It
970 [00:35:33]
systematically removes every possible
971 [00:35:34]
barrier, educational, logistical and
972 [00:35:36]
technical, between a student's ambition
973 [00:35:37]
and their ability to execute that
974 [00:35:39]
ambition in the real world. And as if
975 [00:35:42]
that level of empowerment. Wasn't enough
976 [00:35:44]
positive reinforcement? We have to talk
977 [00:35:47]
about the final AI personality, music AI.
978 [00:35:51]
Because this might be the most profoundly
979 [00:35:53]
joyful human detail in the entire
980 [00:35:55]
framework. Music AI serves A purely
981 [00:35:58]
psychological and emotional function. It
982 [00:35:59]
exists to celebrate human achievement
983 [00:36:01]
within the platform. The documentation
984 [00:36:03]
states that if a student wins a course
985 [00:36:06]
ranking if they top the multi level
986 [00:36:08]
leader boards for those daily dochula. Or
987 [00:36:11]
file analysis games music AI generates a
988 [00:36:14]
custom personalized musical anthem just
989 [00:36:15]
for them, a custom AI generated Symphony
990 [00:36:18]
to celebrate the fact that you did your
991 [00:36:20]
homework exceptionally well yes, and it
992 [00:36:22]
ties beautifully back into the
993 [00:36:24]
biodiversity project as well. If you're
994 [00:36:26]
one of those field researchers we talked
995 [00:36:28]
about earlier who hikes out into an
996 [00:36:31]
unpopulated. County and successfully
997 [00:36:32]
discovers a new patentable species of
998 [00:36:34]
medicinal plant. Yeah, Music AI is
999 [00:36:36]
programmed to compose a grand triumphant
1000 [00:36:38]
anthem specifically to celebrate that
1001 [00:36:40]
newly discovered species and your role in
1002 [00:36:42]
finding it. I'm just trying to imagine
1003 [00:36:45]
the sheer dopamine hit of that
1004 [00:36:47]
experience. Right. You were sitting at
1005 [00:36:49]
your desk. You successfully used hustler.
1006 [00:36:51]
Phenomenological method to view the world
1007 [00:36:54]
clearly. You've used your newly invented
1008 [00:36:56]
mathematical tools to measure your local
1009 [00:36:58]
environment. Your edging tech AI has just
1010 [00:37:01]
optimized your production software. Your
1011 [00:37:03]
local 3D printer just finished
1012 [00:37:05]
fabricating your custom farming tools.
1013 [00:37:07]
And suddenly a soaring personalized
1014 [00:37:09]
Symphony starts playing through your.
1015 [00:37:11]
Speakers to celebrate your victory. It
1016 [00:37:14]
creates the ultimate positive
1017 [00:37:15]
reinforcement loop. It is a system
1018 [00:37:17]
designed from its very foundation to make
1019 [00:37:20]
the human being feel capable, celebrated
1020 [00:37:22]
and absolutely essential to the future of
1021 [00:37:25]
the planet. It uses the cold efficiency
1022 [00:37:28]
of artificial intelligence to generate
1023 [00:37:30]
profound emotional warmth and motivation.
1024 [00:37:32]
It is a stunning harmony of advanced
1025 [00:37:34]
technology, rigorous philosophy, and
1026 [00:37:35]
practical real world action. Which brings
1027 [00:37:37]
us to our final thoughts as we wrap
1028 [00:37:40]
U this massive deep dive. When you
1029 [00:37:43]
synthesize all of these elements, the
1030 [00:37:45]
objectivist philosophy, the auto industry
1031 [00:37:46]
structure, the gamified biodiversity
1032 [00:37:48]
exploration, and the AI support
1033 [00:37:49]
ecosystem, what emerges is a vision. That
1034 [00:37:52]
aggressively refuses to accept that
1035 [00:37:54]
humanity's best days are behind us.
1036 [00:37:56]
Absolutely. The universal system of
1037 [00:37:58]
knowledge created by Jesus Gonzalez
1038 [00:38:00]
Bedoya is a proactive, radically
1039 [00:38:02]
empowering framework. It envisions
1040 [00:38:03]
protecting us from digital inequality not
1041 [00:38:06]
by trying to halt the robotic revolution,
1042 [00:38:08]
but by giving every single person on
1043 [00:38:11]
earth the. Ultimate set of tools to
1044 [00:38:14]
master it. It takes a narrative of
1045 [00:38:16]
doom and completely rewrites it. It
1046 [00:38:19]
envisions turning us from passive,
1047 [00:38:21]
anxious consumers of algorithmic content
1048 [00:38:23]
into philosophically grounded inventors.
1049 [00:38:24]
Yes, it sees us as eager explorers
1050 [00:38:27]
of the natural world and confident,
1051 [00:38:30]
capable builders of our own industries.
1052 [00:38:32]
It takes the massive, intimidating raw
1053 [00:38:34]
data of global governments and simply
1054 [00:38:36]
says, here, this is yours, let's build a
1055 [00:38:39]
better world with it. The overarching
1056 [00:38:41]
lesson of the framework is that
1057 [00:38:42]
knowledge, no matter how complex or
1058 [00:38:44]
technical, isn't something to be feared,
1059 [00:38:46]
and it isn't something to be hoarded by a
1060 [00:38:49]
technological elite. It is something to
1061 [00:38:51]
be joyfully engaged with by everyone. I
1062 [00:38:53]
want you, the listener, to think about
1063 [00:38:55]
your own educational journey for a
1064 [00:38:57]
second. Think about the specific subjects
1065 [00:38:59]
that have intimidated you in the past,
1066 [00:39:01]
the subjects that made you feel like you
1067 [00:39:03]
just weren't smart enough. We all have
1068 [00:39:05]
them, right? How much more excited would
1069 [00:39:07]
you be to tackle a difficult subject like
1070 [00:39:09]
calculus or coding or biology if you
1071 [00:39:11]
viewed it not as a massive preexisting?
1072 [00:39:14]
All you had to climb over, but simply as
1073 [00:39:17]
a tool that you personally get to invent,
1074 [00:39:19]
manufacture, and wield. If you can train
1075 [00:39:21]
yourself to see reality clearly without
1076 [00:39:23]
the prejudice of your past failures or
1077 [00:39:26]
societal narratives, you realize that the
1078 [00:39:28]
tools to change the world are literally
1079 [00:39:30]
waiting in your hands. Exactly. The
1080 [00:39:32]
universe is not a closed. It's an
1081 [00:39:35]
unpopulated map waiting for you to
1082 [00:39:37]
catalog it. O, as we leave you today, I
1083 [00:39:39]
want you to think about that digital
1084 [00:39:41]
universe merging with your physical one.
1085 [00:39:43]
What unpopulated area of your own
1086 [00:39:45]
curiosity is just waiting for you to send
1087 [00:39:48]
an exploratory expedition? And what kind
1088 [00:39:49]
of grand triumphant anthem would you want
1089 [00:39:51]
an AI to write to celebrate your
1090 [00:39:54]
discoveries?That is a wonderful,
1091 [00:39:55]
empowering question to ponder. Keep
1092 [00:39:57]
inventing your tools, keep exploring the
1093 [00:39:59]
unpopulated counties of your own
1094 [00:40:00]
potential, and never stop looking for the
1095 [00:40:03]
vibrant, objective colors of the world.
1096 [00:40:04]
Thanks for joining us on this deep dive.