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Have you ever stubbornly clung to an old way
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of doing something just because the process itself
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felt, I don't know, satisfying? Oh, absolutely.
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I think we all do that. I mean, really think
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about it. I'm talking about sitting at your desk,
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pulling out a physical notepad, writing down
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a to -do list with a pen you really like. A good
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pen makes a difference. It really does. And then
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getting that visceral, almost aggressive thrill
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of just crossing an item off. It's a great feeling.
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It is. Or maybe you're the type of person who
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manually organizes your digital files into perfectly
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nested, color -coded folders, dragging and dropping
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them one by one. Even though you have a perfectly
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good global search function. Exactly. A search
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function that could surface literally any document
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on your hard drive in a millisecond. But you
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do it anyway. Right. You do it because those
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mechanical steps feel like actual work. Yeah,
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the friction of the process sort of tricks your
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brain into feeling productive. It's a deeply
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ingrained cognitive trap, to be honest. We are
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biologically wired to conflate the effort of
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the journey with the value of the destination.
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Wow. Yeah. The effort equals value in our heads.
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Precisely. We feel that if something didn't require
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sweat or friction or just a lot of time, it somehow
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isn't rigorous. It isn't valuable. Which is a
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dangerous trap right now. It is. And right now
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we are sitting at the absolute epicenter of a
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technological shift that is exposing that psychological
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trap on a global scale. Okay, let's unpack this
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because this brings us right into the core of
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our deep dive today. We are looking at a massive
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structural shift happening in the world of work
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right this very second. A total reordering. Yeah.
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And this is all mapped out in a fascinating series
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of essays and fieldwork from Brian Romley. He
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calls this the Grokbot era. It's a great term.
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It really is. And at the absolute center of his
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research on his Read Multiplex platform is this
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eternal underlying tension. The tension between
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loving the sequence of our work versus loving
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the actual result. Right. To really grasp the
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magnitude of what Brian Romley is laying out
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here, we have to establish the conceptual foundation
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first. So where do we start? Well, his core thesis
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is that humanity is currently entering the fourth
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revolution of reordering how the world works.
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The fourth revolution. Yes. And the historical
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pattern here is ruthless. It's ruthless, but
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it's entirely predictable. Predictable how? What
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happens every time? In every single one of the
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previous three revolutions, a specific cohort
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of highly intelligent, highly capable people
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gets completely left behind. Just totally sidelined.
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Totally left behind. But the crucial insight
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is why they get left behind. I mean, it is almost
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never a lack of intelligence. It's not a lack
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of skill, and it's certainly not an inability
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to learn the new technology. So what is it? Why
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do smart people fail to adapt? It happens purely
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because they fall in love with the mechanical
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steps of their profession rather than the finished
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product those steps were designed to create.
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I want to really dig into that. Because the immediate
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reaction most people have to the AI era, you
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know, when they think about it, is just pure
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fear. Fear of the complexity. Exactly. Fear that
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the technology is just too complex to learn.
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But you're saying, based on this research, the
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bottleneck isn't technical capability at all.
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Not at all. It's an emotional attachment to a
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routine. Yes, it's emotional. So to prove that,
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I feel like we have to look at the historical
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evidence. We have to prove this isn't some new
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unprecedented phenomenon brought on by
Load full transcript
neural
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networks. The sources argue that to see exactly
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where we are going with autonomous AI agents,
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you really only have to look at the oldest story
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in the history of tools. We have to go back.
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Way back. We have to examine the transition from
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the desktop to the pocket and look at the exact
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moments when manual sequences were annihilated
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by new technology. Annihilated is a strong word,
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but it's accurate. The first example that comes
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to mind, and one that Rommel's work highlights,
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is the transition from the typewriter to the
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word processor. Oh, that's a classic one. Right.
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When you think about the late 1970s and early
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1980s, when CRT screens first started replacing
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physical paper on a roller. The leap in productivity
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was staggering. It was. I mean, you could backspace
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without using whiteout. Right. No more messy
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correction fluid. You could move an entire paragraph
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from page three to page one with a few keystrokes
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instead of retyping the whole document. Spelling
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errors plummeted, too. Exactly. The final result,
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which is a clean manuscript, arrived drastically
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faster. And yet there was a massive cohort of
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highly skilled writers, journalists, office workers
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who just aggressively refused to switch. And
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we have to ask why. Because it wasn't because
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they didn't want a clean manuscript. Everyone
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wants a clean manuscript. Right. Obviously. It
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was because they missed the tactile feedback
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of the sequence. They missed the physical resistance
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of the keys, the smell of the ink ribbon. The
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loud, percussive sound of the carriage return
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at the end of a line. Exactly. That ding and
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the swipe. They had spent decades internally
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associating the physical friction of typing with
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the intellectual act of, quote unquote, real
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writing. So when the screen removed the physical
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friction, they felt like they weren't truly working
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anymore. They felt like frauds almost. They clung
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to the old sequence because the process was quite
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literally their identity. Wow. And we saw the
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exact same psychological block a decade later.
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Right, with the rise of the internet. Specifically
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in academia and research. Yes. Suddenly, massive
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university libraries and sprawling physical card
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catalogs were just digitized. Overnight, practically.
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Anyone could query a database from a terminal
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and finish in minutes what used to require a
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physical trip across campus. Hauling a stack
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of heavy, dusty indexes to a desk. Yeah, spending
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hours manually cross -referencing authors. Yet,
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as the research points out, a significant number
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of veteran researchers just... Kept walking the
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stacks. They insisted on physically roaming the
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library aisles. And again, the psychology is
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fascinating here. In their minds, the sheer physical
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volume of the books, the tangible flipping of
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the index cards, confirmed their thoroughness.
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And the physical exhaustion at the end of the
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day. Right. If they just typed a query and got
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the answer instantly, they felt they had cheated.
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Like they didn't earn the answer. Exactly. They
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equated the sequence of the search with the rigor
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of the findings. And then, you know, you shrink
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that entire revolution down into the pocket with
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the iPhone in 2007. That was a huge cultural
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shift. I remember this vivid shift in corporate
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culture. Suddenly the calendar, the camera, the
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map, the Rolodex, the physical notepad. All of
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it. They're all absorbed into one glass rectangle.
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Meetings that used to require a phone call, a
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secretary checking a desk calendar, a physical
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paper diary. They became digital entries. Yeah.
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that magically, silently updated across everyone's
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devices instantly. But you still had managers,
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often the most senior ones, who fiercely clung
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to their expensive, leather -bound paper planners.
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Why? I never understood that. Well, because the
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act of writing the time and place down with a
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fountain pen made the meeting feel arranged.
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Oh, I see. The digital update felt too invisible.
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It didn't feel real. It is the exact same dynamic
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playing out in a loop. The sequence improves,
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the mechanical steps between an idea and a finished
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product shrink. But a cohort of otherwise capable
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people stays with the methods they already know.
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They fall in love with the process, not the result.
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Exactly. But I want to push further back into
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the history here because the sources trace this
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battle between sequence versus result way back.
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Long before silicon chips. Right. Long before
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even electricity. The historical timeline Brian
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outlines is incredible, particularly when you
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look at the printing industry. Okay, tell me
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about the printing industry. If we span from
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the 1880s to 1985, we see this exact cycle play
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out in just brutal fashion. For centuries, since
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Gutenberg basically, the sequence of setting
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type was incredibly manual. It was a true craft.
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It meant a highly skilled hand compositor standing
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in front of a massive wooden case, physically
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picking up one tiny backwards metal letter at
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a time and placing it into a composing stick.
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And they had to read upside down and backwards.
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Yes. It was a craft that took years to master.
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Right. And they were covered in lead dust, working
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by gaslight. It was exhausting work. And then
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in the 1880s, Otmar Mergenthaler invents the
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linotype machine. And this fundamentally breaks
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the old sequence. So how did the linotype actually
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work? Because it was a massive deal. To understand
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how disruptive the linotype was, you have to
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understand the mechanism. Instead of picking
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up individual letters, an operator sat at a 90
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-key keyboard. Kind of like a massive typewriter.
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Right. And when they pressed a key, a brass matrix,
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which is basically a mold of a letter, dropped
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from a magazine into a line. Okay. Once the line
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was full, the machine injected molten lead directly
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into the molds, casting an entire solid line
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of type at once. A linotype. A linotype, hence
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the name. That is wild. It effectively increased
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the speed of typesetting by, what, an order of
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magnitude? At least. Newspapers just exploded
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in size. They could print multiple editions a
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day because the sequence got radically shorter.
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Exactly. But the hand compositors were devastated,
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of course, because their manual dexterity was
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suddenly devalued. All those years of learning
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to read backwards just gone. But the cycle doesn't
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stop there. Fast forward exactly a century to
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1985, which is the dawn of the desktop publishing
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revolution. Right. This is the era of the Apple
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LaserWriter and Adobe PostScript. And Aldus PageMaker.
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In fact, Paul Brainerd, the founder of Aldus,
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is the one who actually coined the term desktop
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publishing. I didn't know that. Think about the
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disruption at that specific moment, though. typesetting
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houses that had survived the linotype era, companies
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that had defined this meticulous, expensive,
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heavy machinery craft for generations. They suddenly
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had to watch a single person sitting at a single
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desk in a suburban office produce a completely
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finished, mathematically perfect layout on a
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screen. And just print it out locally. The manual
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setting of type, whether by hand or by molten
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lead, just vanished entirely. But here is the
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crucial takeaway from the source material, and
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I want to make sure we underline this for you
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listening. It's an important point. The skill
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that survived that 1985 revolution was not the
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mechanical ability to set type. No, it wasn't.
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The skill that survived was the eye for a good
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page, the aesthetic judgment. The understanding
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of kerning, hierarchy, and balance. Right. The
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sequence was destroyed. But the judgment remained.
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That distinction is paramount. When the sequence
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is automated, the judgment is elevated. I love
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that. I want to look at another historical example
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from the sources because it introduces a slightly
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different angle on this. The story of the telephone
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dial in 1891. Ah, yes. Allman Strauger. Yes.
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Allman Strauger, who's a Kansas City undertaker.
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Which is just the perfect weird historical detail.
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You could never make that up. An undertaker invents
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the rotary dial. The story of Strauger perfectly
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illustrates how frustration with a manual sequence
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drives innovation. In the late 1880s, if you
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wanted to make a phone call, you didn't dial
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a number. Right. You picked up an earpiece, cranked
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a handle, and spoke to a human operator at a
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central switchboard. You would say, connect me
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to the bakery. And the operator would physically
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take a patch cord and plug it into the bakery's
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jack on a massive wall of circuits. But Strauger,
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our undertaker, had a problem. he noticed a sudden
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drop in his business. A very suspicious drop.
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Very suspicious. The story goes that he discovered
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the local human telephone operator was actually
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the wife of a competing undertaker in town. Talk
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about a conflict of interest. Seriously. So Strouger
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became deeply paranoid, and probably rightfully
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so, that whenever someone called the exchange
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asking for an undertaker, she was secretly routing
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his incoming business calls to her husband instead
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of him. Whether he was right about the conspiracy
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or not is almost beside the point, honestly,
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because his reaction changed the world. He realized
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the human in the middle was the problem. Exactly.
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The manual sequence of the switchboard operator
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was a vulnerability. So he designed and patented
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the first
commercially successful automatic telephone
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exchange. It was a complex electromechanical
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switch driven by a rotary dial on the user's
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phone. Right. The user dials the number, the
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electrical pulses control the switches at the
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exchange, and the connection is made automatically.
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The rotary dial entirely removed the manual sequence
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of asking a human to plug a wire into a board.
00:12:28.179 --> 00:12:31.759
The sequence died. But the result, which is the
00:12:31.759 --> 00:12:34.340
actual conversation between two people, remained.
00:12:34.919 --> 00:12:38.240
In fact, it flourished because the friction was
00:12:38.240 --> 00:12:40.620
gone. The conversation was always the point,
00:12:40.679 --> 00:12:43.720
not the patch cords. And we see this friction
00:12:43.720 --> 00:12:46.899
removed again in 1972 with the shift from the
00:12:46.899 --> 00:12:49.580
physical slide rule to the pocket calculator.
00:12:50.259 --> 00:12:52.460
This is perhaps the most direct parallel to the
00:12:52.460 --> 00:12:55.179
cognitive shift we are experiencing today. I
00:12:55.179 --> 00:12:58.169
agree. For the vast majority of the 20th century,
00:12:58.389 --> 00:13:01.169
engineers, physicists, and architects lived and
00:13:01.169 --> 00:13:04.149
died by the slide rule. As the text notes, the
00:13:04.149 --> 00:13:06.450
slide rule literally went to the moon. It did.
00:13:06.769 --> 00:13:09.330
The engineers at NASA, computing orbital mechanics
00:13:09.330 --> 00:13:11.690
for the Apollo missions, were using slide rules
00:13:11.690 --> 00:13:14.309
made by companies like Kufel and Esser. It was
00:13:14.309 --> 00:13:16.870
a physical instrument requiring intense manual
00:13:16.870 --> 00:13:19.409
manipulation to perform logarithmic calculations.
00:13:20.350 --> 00:13:23.389
But then, in 1972, Hewlett -Packard introduces
00:13:23.389 --> 00:13:27.269
the HP -35. It was the world's first scientific
00:13:27.269 --> 00:13:30.190
pocket calculator. It could perform trigonometric
00:13:30.190 --> 00:13:33.049
and exponential functions with just the press
00:13:33.049 --> 00:13:35.830
of a plastic button. The result was instantaneous.
00:13:36.610 --> 00:13:39.730
And within just a few years, the great American
00:13:39.730 --> 00:13:42.190
slide rule manufacturers essentially collapsed.
00:13:42.570 --> 00:13:44.730
Kefla and Esser produced their last custom slide
00:13:44.730 --> 00:13:48.730
rule in 1976. Just four years later. Okay. I
00:13:48.730 --> 00:13:51.730
hear the historical argument. I really do. But
00:13:51.730 --> 00:13:55.009
I have to pause here. Go for it. Because I can't
00:13:55.009 --> 00:13:57.690
let go of the idea that we are losing the craft.
00:13:57.950 --> 00:14:01.370
The craft of the sequence. Right. When an engineer
00:14:01.370 --> 00:14:04.309
is forced to use a slide rule, the physical friction
00:14:04.309 --> 00:14:07.149
of manipulating the slip forces them to intimately
00:14:07.149 --> 00:14:10.110
understand the underlying math. They have to
00:14:10.110 --> 00:14:12.250
keep the decimal point in their head. They have
00:14:12.250 --> 00:14:14.070
to understand the magnitude of the numbers intuitively.
00:14:14.730 --> 00:14:17.149
If a digital device just spits out the answer,
00:14:17.740 --> 00:14:19.799
Don't we just end up with a generation of operators
00:14:19.799 --> 00:14:21.980
who don't actually understand the bridge they
00:14:21.980 --> 00:14:24.879
are building? It's a common fear. It feels like
00:14:24.879 --> 00:14:28.240
we are comparing a slow, meticulously home -cooked
00:14:28.240 --> 00:14:31.340
meal to a microwave TV dinner. Sure, popping
00:14:31.340 --> 00:14:33.360
a tray in the microwave is faster. The sequence
00:14:33.360 --> 00:14:35.720
is shorter. But is the quality of the result
00:14:35.720 --> 00:14:38.039
actually the same? What's fascinating here is
00:14:38.039 --> 00:14:40.860
that that is the most common counter -argument,
00:14:40.879 --> 00:14:43.600
but the historical record... firmly rejects it.
00:14:43.720 --> 00:14:45.879
And it's important to understand why the microwave
00:14:45.879 --> 00:14:48.700
dinner analogy fails mechanically. Why does it
00:14:48.700 --> 00:14:51.620
fail? Because the microwave automates the recipe.
00:14:51.740 --> 00:14:54.620
It replaces the judgment of the chef with a prepackaged
00:14:54.620 --> 00:14:58.139
mediocre standard. But the HP35 calculator did
00:14:58.139 --> 00:15:00.659
not replace the engineer's judgment. It replaced
00:15:00.659 --> 00:15:03.840
the grunt work. Oh, I see. To refine your analogy,
00:15:04.039 --> 00:15:06.059
the calculator isn't the microwave replacing
00:15:06.059 --> 00:15:09.370
the chef. The calculator is the sous chef. who
00:15:09.370 --> 00:15:11.450
chops onions for four hours, freeing the head
00:15:11.450 --> 00:15:13.769
chef to actually design the menu. That's a great
00:15:13.769 --> 00:15:15.669
way to put it. When the slide rule vanished,
00:15:15.850 --> 00:15:19.169
the calculator didn't abandon the bridge. The
00:15:19.169 --> 00:15:21.389
bridge still got built, and it was actually engineered
00:15:21.389 --> 00:15:24.889
better. Better? How? Because the engineer could
00:15:24.889 --> 00:15:27.429
test a dozen different stress scenarios in the
00:15:27.429 --> 00:15:29.909
time it used to take to calculate just one. So
00:15:29.909 --> 00:15:32.029
the people who made the switch didn't lose their
00:15:32.029 --> 00:15:34.309
judgment. They simply applied their high -level
00:15:34.309 --> 00:15:36.649
judgment to a vastly larger volume of finished
00:15:36.649 --> 00:15:40.190
work. Exactly. Desktop publishing didn't abandon
00:15:40.190 --> 00:15:42.950
the beautiful page. It allowed a single designer
00:15:42.950 --> 00:15:45.149
to iterate on 20 different layouts in a day,
00:15:45.230 --> 00:15:47.429
applying their aesthetic judgment to more work.
00:15:47.590 --> 00:15:49.769
While the holdouts ended up applying their identical
00:15:49.769 --> 00:15:52.309
level of judgment to significantly less work.
00:15:52.549 --> 00:15:55.649
The engineer didn't disappear in 1972. It stopped
00:15:55.649 --> 00:15:58.250
wasting their entire afternoon doing basic arithmetic.
00:15:58.629 --> 00:16:01.690
That reframing is powerful. The engineer didn't
00:16:01.690 --> 00:16:04.070
disappear. They just got to spend more time actually
00:16:04.070 --> 00:16:06.769
engineering. Right. And that bridges us perfectly
00:16:06.769 --> 00:16:09.750
from these physical tools to the exact software
00:16:09.750 --> 00:16:12.690
precedent that Brian Romley argues mirrors today's
00:16:12.690 --> 00:16:14.929
AI revolution. The perfect software parallel.
00:16:15.110 --> 00:16:17.169
To understand the Grokbot, we have to look at
00:16:17.169 --> 00:16:20.009
1979. We have to talk about the birth of the
00:16:20.009 --> 00:16:22.210
electronic spreadsheet. We have to talk about
00:16:22.210 --> 00:16:25.309
VisiCalc. VisiCalc is arguably the most vital
00:16:25.309 --> 00:16:27.149
precedent for understanding the Grokbot era.
00:16:27.549 --> 00:16:30.009
For anybody who doesn't know the history, VisiCalc
00:16:30.009 --> 00:16:32.289
was created by Dan Bricklin and Bob Frankston
00:16:32.289 --> 00:16:34.470
for the Apple II. A legendary piece of software.
00:16:34.909 --> 00:16:36.649
And to truly appreciate it, you have to picture
00:16:36.649 --> 00:16:39.230
what financial modeling looked like before 1979.
00:16:39.710 --> 00:16:42.009
We aren't talking about opening Excel. We are
00:16:42.009 --> 00:16:44.570
talking about massive, physical paper ledger
00:16:44.570 --> 00:16:47.710
sheets spread across giant desks. Agonizing is
00:16:47.710 --> 00:16:50.370
the only word for the old sequence. Let's walk
00:16:50.370 --> 00:16:52.970
through the mechanics of it. Imagine a massive
00:16:52.970 --> 00:16:56.110
spreadsheet drawn on paper tracking a company's
00:16:56.110 --> 00:16:58.370
five -year financial projection. Okay, I'm picturing
00:16:58.370 --> 00:17:01.230
it. Lots of tiny boxes. Every row and column
00:17:01.230 --> 00:17:03.730
interacts. Now imagine the boss walks in and
00:17:03.730 --> 00:17:06.309
says, What if our materials cost goes up by 2
00:17:06.309 --> 00:17:09.450
% next quarter? Panic. Utter panic. Exactly.
00:17:09.569 --> 00:17:11.890
Because changing that one assumption meant you
00:17:11.890 --> 00:17:14.410
had to physically get out a pencil eraser, erase
00:17:14.410 --> 00:17:17.289
the materials cost cell, manually calculate the
00:17:17.289 --> 00:17:20.009
new number, write it down, and then erase and
00:17:20.009 --> 00:17:22.509
manually recalculate every single dependent cell
00:17:22.509 --> 00:17:25.069
all the way down to the bottom line. So you would
00:17:25.069 --> 00:17:27.289
have junior accountants working overnight, covered
00:17:27.289 --> 00:17:30.569
in eraser dust, running 10 key calculators, just
00:17:30.569 --> 00:17:33.269
to see how a single 2 % variable changed the
00:17:33.269 --> 00:17:35.849
profit margin. It was a massive manual sequence.
00:17:36.349 --> 00:17:38.869
And then Dan Bricklin is sitting in a classroom
00:17:38.869 --> 00:17:41.309
at Harvard Business School, watching a professor
00:17:41.309 --> 00:17:44.170
erase a blackboard to recalculate a model, and
00:17:44.170 --> 00:17:47.430
he realizes there has to be a better way. Enter
00:17:47.430 --> 00:17:50.809
VisiCalc. The mechanism of VisiCalc was a revelation.
00:17:51.069 --> 00:17:54.329
It introduced instant recalculation. Instant
00:17:54.329 --> 00:17:57.430
recalculation. You change one single number at
00:17:57.430 --> 00:17:59.589
the top of the digital sheet, and the underlying
00:17:59.589 --> 00:18:02.569
logic tree instantly updates every dependent
00:18:02.569 --> 00:18:04.990
cell on the screen. The result was so profoundly
00:18:04.990 --> 00:18:07.170
transformative that accounting firms and businesses
00:18:07.170 --> 00:18:10.950
were buying $2 ,000 Apple II computers for no
00:18:10.950 --> 00:18:13.690
other reason than to run this $100 piece of software.
00:18:13.849 --> 00:18:15.670
It's fundamentally changed the behavior of an
00:18:15.670 --> 00:18:18.170
entire profession. Accountants stopped being
00:18:18.170 --> 00:18:21.269
what the sources brilliantly call human recalculation
00:18:21.269 --> 00:18:23.769
engines. Human recalculation engines. When the
00:18:23.769 --> 00:18:26.170
manual sequence of erasing and writing was removed,
00:18:26.269 --> 00:18:28.349
they evolved into strategic analysts. Suddenly
00:18:28.349 --> 00:18:30.650
they could ask, what if a hundred times in a
00:18:30.650 --> 00:18:33.009
single afternoon? They could model a dozen different
00:18:33.009 --> 00:18:35.410
business scenarios before lunch. And that mechanism,
00:18:35.589 --> 00:18:38.190
the instant recalculation of a sequence, brings
00:18:38.190 --> 00:18:41.210
us directly to the modern parallel. On October
00:18:41.210 --> 00:18:44.890
29th, 2026, Brian Rommel posted an incredibly
00:18:44.890 --> 00:18:47.670
bold claim. What did he say? He wrote, Grokbot
00:18:47.670 --> 00:18:50.009
is the most important business tool of the last
00:18:50.009 --> 00:18:52.789
hundred years. That's a massive statement. Yeah,
00:18:52.789 --> 00:18:54.329
he's saying it's bigger than the commercial internet,
00:18:54.509 --> 00:18:56.769
bigger than the smartphone. How does he justify
00:18:56.769 --> 00:18:59.710
that? He justifies it based on what the technology
00:18:59.710 --> 00:19:03.160
scales. Think about the progression. The linotype
00:19:03.160 --> 00:19:07.099
scaled typesetting. The calculator scaled arithmetic.
00:19:08.119 --> 00:19:10.640
VisiCalc
scaled financial modeling. Okay, I'm
00:19:10.640 --> 00:19:13.460
tracking. If VisiCalc was revolutionary because
00:19:13.460 --> 00:19:16.500
it instantly recalculated numbers, a Grok bot
00:19:16.500 --> 00:19:19.279
is revolutionary because it instantly recalculates
00:19:19.279 --> 00:19:24.559
the entire day. Recalculating the day. I want
00:19:24.559 --> 00:19:25.980
to sit with that phrasing for a second because
00:19:25.980 --> 00:19:27.700
we all know that feeling. You open your laptop
00:19:27.700 --> 00:19:31.460
at 8 a .m. You look at your calendar. And you
00:19:31.460 --> 00:19:34.339
see an eight -hour stretch of pure sequence work.
00:19:34.559 --> 00:19:37.099
Just endless tasks. You have to triage 50 emails,
00:19:37.420 --> 00:19:39.619
pull data from three different SaaS platforms
00:19:39.619 --> 00:19:42.680
for a weekly status report, summarize a 40 -page
00:19:42.680 --> 00:19:45.240
PDF research brief, prep an agenda for a 2 p
00:19:45.240 --> 00:19:48.539
.m. meeting. It's a slog. It is the modern equivalent
00:19:48.539 --> 00:19:52.339
of erasing ledger cells. It's moving digital
00:19:52.339 --> 00:19:54.140
paper from one side of the desk to the other.
00:19:54.579 --> 00:19:57.720
Precisely. And what is happening right now in
00:19:57.720 --> 00:20:00.180
the Grokbot era... is that an eight -hour stretch
00:20:00.180 --> 00:20:02.980
of that specific type of manual sequence work
00:20:02.980 --> 00:20:05.799
can now finish before a cup of coffee cools.
00:20:06.079 --> 00:20:10.410
Before a cup of coffee cools. Assuming an autonomous
00:20:10.410 --> 00:20:14.069
agent is executing the sequence. Correct. But
00:20:14.069 --> 00:20:17.109
let's clarify the mechanics here, because people
00:20:17.109 --> 00:20:19.789
throw around terms like AI and bot very loosely.
00:20:20.009 --> 00:20:23.670
When we say grokbot, what exactly are we talking
00:20:23.670 --> 00:20:25.269
about technically? We aren't just talking about
00:20:25.269 --> 00:20:27.609
a chat window where you type a question and get
00:20:27.609 --> 00:20:30.180
a text response, right? No, that is a crucial
00:20:30.180 --> 00:20:32.920
distinction. A chatbot is reactive. It waits
00:20:32.920 --> 00:20:35.259
for a prompt, gives an answer, and stops. Right.
00:20:35.359 --> 00:20:38.700
A grokbot, in this context, refers to an autonomous
00:20:38.700 --> 00:20:41.720
AI agent. It is a large language model equipped
00:20:41.720 --> 00:20:44.559
with memory, loop logic, and access to external
00:20:44.559 --> 00:20:47.440
tools. So it can actually do things. Exactly.
00:20:47.519 --> 00:20:50.099
You give it an objective, like compile the weekly
00:20:50.099 --> 00:20:52.420
sales report, and it breaks that objective down
00:20:52.420 --> 00:20:54.559
into a sequence of steps. It thinks through the
00:20:54.559 --> 00:20:57.319
process. It navigates to the CRM, pulls the data,
00:20:57.480 --> 00:20:59.680
opens a spreadsheet, formats the numbers, drafts
00:20:59.680 --> 00:21:01.519
a summary based on the data, and prepares an
00:21:01.519 --> 00:21:04.460
email draft. It operates on a loop. Reason, act,
00:21:04.680 --> 00:21:07.460
observe the result, and adjust. It is executing
00:21:07.460 --> 00:21:10.660
the sequence autonomously. Okay, but as powerful
00:21:10.660 --> 00:21:13.130
as that is... It's very easy to get swept away
00:21:13.130 --> 00:21:14.890
in the hype and assume these bots are just going
00:21:14.890 --> 00:21:17.109
to replace every single human function by next
00:21:17.109 --> 00:21:19.269
Tuesday. Right, which isn't true. The sources
00:21:19.269 --> 00:21:21.609
are actually very careful to highlight the boundaries.
00:21:22.130 --> 00:21:24.269
Let's talk about the so what of these limits,
00:21:24.329 --> 00:21:26.589
because understanding what a Grok bot cannot
00:21:26.589 --> 00:21:29.170
do is just as important as understanding what
00:21:29.170 --> 00:21:32.289
it can. It is essential to be precise about the
00:21:32.289 --> 00:21:35.890
boundaries. First, Grok bots cannot handle unscripted
00:21:35.890 --> 00:21:38.589
physical work in the real world. They are digital
00:21:38.589 --> 00:21:41.049
entities. Sure. But more importantly for the
00:21:41.049 --> 00:21:43.509
knowledge worker, they cannot execute judgment
00:21:43.509 --> 00:21:46.609
that relies on unique, unshared context. What
00:21:46.609 --> 00:21:49.329
do you mean by unshared context? Think about
00:21:49.329 --> 00:21:51.670
being in a meeting. A bot can transcribe the
00:21:51.670 --> 00:21:54.589
meeting perfectly, but it cannot read the room.
00:21:54.750 --> 00:21:57.230
Oh, I see. It doesn't know that the VP of sales
00:21:57.230 --> 00:21:59.869
is wincing because of an unspoken political rivalry
00:21:59.869 --> 00:22:02.289
with the marketing director. It doesn't know
00:22:02.289 --> 00:22:04.690
the unwritten cultural dynamics of your specific
00:22:04.690 --> 00:22:07.980
office. It lacks the human intuition of context.
00:22:08.299 --> 00:22:12.319
Right. And most crucially, a grokbot cannot and
00:22:12.319 --> 00:22:15.359
should not make decisions with real irreversible
00:22:15.359 --> 00:22:18.000
human stakes. Like what? Firing an employee,
00:22:18.299 --> 00:22:21.259
finalizing a massive financial merger, deciding
00:22:21.259 --> 00:22:23.980
the strategic direction of a company. That domain
00:22:23.980 --> 00:22:27.329
remains purely human. Going back to our analogy,
00:22:27.630 --> 00:22:29.930
the autonomous agent is the sous chef doing the
00:22:29.930 --> 00:22:32.950
chopping. The human remains the head chef deciding
00:22:32.950 --> 00:22:35.490
what goes on the menu. The sequence is handed
00:22:35.490 --> 00:22:39.240
off. The judgment stays. So we have the theory.
00:22:39.730 --> 00:22:42.799
We understand the historical pattern. And we
00:22:42.799 --> 00:22:44.740
understand the mechanical definition of the AI
00:22:44.740 --> 00:22:47.740
agent. But how is this actually being deployed
00:22:47.740 --> 00:22:50.519
in the real world right this second? It's happening
00:22:50.519 --> 00:22:52.660
fast. Because if I'm a listener sitting at a
00:22:52.660 --> 00:22:55.319
mid -level management job, this might still sound
00:22:55.319 --> 00:22:57.700
like science fiction. Is this actually happening
00:22:57.700 --> 00:22:59.900
in corporate environments today? It absolutely
00:22:59.900 --> 00:23:04.180
is. Brian Roy has been conducting extensive on
00:23:04.180 --> 00:23:06.759
-the -ground fieldwork on this exact transition.
00:23:07.039 --> 00:23:08.900
What's he saying? He's been spending time embedded
00:23:08.900 --> 00:23:11.279
with clients at large public companies, walking
00:23:11.279 --> 00:23:13.160
them through this operational shift department
00:23:13.160 --> 00:23:16.059
by department. And the paradigm he is introducing
00:23:16.059 --> 00:23:19.380
to them is staggering. Okay. He is showing them
00:23:19.380 --> 00:23:22.259
how to arm single, individual employees with
00:23:22.259 --> 00:23:25.319
an almost unlimited number of Grokbot employees.
00:23:25.680 --> 00:23:28.980
It's the ultimate leverage. It's like every single
00:23:28.980 --> 00:23:30.980
mid -level employee suddenly gets promoted to
00:23:30.980 --> 00:23:33.700
a department head overnight. Yes. And they are
00:23:33.700 --> 00:23:36.720
handed a staff of 100 tireless interns who never
00:23:36.720 --> 00:23:40.119
sleep, never complain, process information instantly,
00:23:40.279 --> 00:23:43.640
and never make a copy -paste error. You can imagine
00:23:43.640 --> 00:23:45.619
what happens to the competitive landscape of
00:23:45.619 --> 00:23:48.299
an industry when that happens. One person armed
00:23:48.299 --> 00:23:51.680
with an AI army is incredibly powerful. Unbeatable.
00:23:51.950 --> 00:23:54.630
But an entire legacy company armed with those
00:23:54.630 --> 00:23:57.210
armies becomes a juggernaut that is almost impossible
00:23:57.210 --> 00:24:00.049
to compete against using traditional manual labor
00:24:00.049 --> 00:24:02.809
models. But wait, let's look at the IT and security
00:24:02.809 --> 00:24:06.630
reality of this. If everyone in a 5 ,000 -person
00:24:06.630 --> 00:24:08.910
company suddenly has hundreds of AI agents running
00:24:08.910 --> 00:24:12.029
around doing tasks, accessing databases and drafting
00:24:12.029 --> 00:24:15.049
emails, how is that not just total unmitigated
00:24:15.049 --> 00:24:18.009
chaos? It could be. I mean, an army of interns
00:24:18.009 --> 00:24:20.289
could do an unbelievable amount of damage if
00:24:20.289 --> 00:24:22.509
they are all firing off emails to clients and
00:24:22.509 --> 00:24:25.150
deleting files without oversight. That is the
00:24:25.150 --> 00:24:28.089
exact bottleneck Brian identified, and it is
00:24:28.089 --> 00:24:31.089
where he introduces a crucial operational concept,
00:24:31.349 --> 00:24:35.109
the filter strategy.
The filter strategy. He
00:24:35.109 --> 00:24:37.410
highlights a legacy public company that is currently
00:24:37.410 --> 00:24:40.789
going all in on deploying this AI fleet, but
00:24:40.789 --> 00:24:43.589
they aren't just unleashing bots blindly onto
00:24:43.589 --> 00:24:46.539
their servers. Good. Every single Grokbot command,
00:24:46.740 --> 00:24:49.519
every action an agent attempts to take runs through
00:24:49.519 --> 00:24:52.660
a centralized audit trail governed by a strict
00:24:52.660 --> 00:24:56.079
traffic light filter system. A red, yellow, and
00:24:56.079 --> 00:24:58.500
green light system? How does that work mechanically?
00:24:58.720 --> 00:25:01.220
In a corporate IT environment, a red light means
00:25:01.220 --> 00:25:04.039
the bot physically lacks the API permission to
00:25:04.039 --> 00:25:06.339
execute a destructive action. Okay, give me an
00:25:06.339 --> 00:25:09.440
example. If a bot decides, logically, that the
00:25:09.440 --> 00:25:11.519
best way to clean up a hard drive is to delete
00:25:11.519 --> 00:25:14.150
a master customer database, The system throws
00:25:14.150 --> 00:25:16.809
a red light. The action is hard blocked. Makes
00:25:16.809 --> 00:25:19.569
sense. What about yellow? Yellow light means
00:25:19.569 --> 00:25:22.250
the bot has prepared the action, but it requires
00:25:22.250 --> 00:25:25.349
human authorization before executing. So it pauses.
00:25:25.690 --> 00:25:28.170
Exactly. For example, a bot can read an incoming
00:25:28.170 --> 00:25:31.430
client email, access the CRM, draft a complex
00:25:31.430 --> 00:25:34.009
response, and attach a finalized contract. But
00:25:34.009 --> 00:25:37.529
it cannot hit send. Accuse the draft. It throws
00:25:37.529 --> 00:25:39.410
a yellow light and waits for the human manager
00:25:39.410 --> 00:25:42.069
to review it, tweak it, and click approve. And
00:25:42.069 --> 00:25:44.319
green light. Greenlight means the bot is pre
00:25:44.319 --> 00:25:46.700
-approved to run autonomously in a safe, constrained
00:25:46.700 --> 00:25:49.559
environment. Sorting incoming vendor invoices
00:25:49.559 --> 00:25:52.339
into a specific SharePoint folder, parsing data
00:25:52.339 --> 00:25:55.220
from PDFs into an internal spreadsheet, these
00:25:55.220 --> 00:25:58.529
run on green. That makes total sense. Brian explicitly
00:25:58.529 --> 00:26:00.769
notes that this filter system is the defining
00:26:00.769 --> 00:26:03.329
difference between an army and a mob. An army
00:26:03.329 --> 00:26:06.190
follows orders. A mob just breaks things. The
00:26:06.190 --> 00:26:08.670
human managers are still very much there, but
00:26:08.670 --> 00:26:10.960
their day -to -day reality has shifted. They
00:26:10.960 --> 00:26:13.240
are now overseeing the work. They're managing
00:26:13.240 --> 00:26:16.200
the filter, reviewing the yellow lights, rather
00:26:16.200 --> 00:26:17.980
than performing the manual sequence themselves.
00:26:18.359 -->
00:26:21.119
We actually have concrete case studies from Brian's
00:26:21.119 --> 00:26:23.779
own fleet of deployed bots to prove out the economics
00:26:23.779 --> 00:26:26.460
of this. Oh, like the print system example? Yes.
00:26:26.539 --> 00:26:30.299
On October 10, 2026, he detailed a scenario where
00:26:30.299 --> 00:26:32.819
a Grok bot was put in full control of a physical
00:26:32.819 --> 00:26:35.240
print system. Right, the package printing operation.
00:26:35.559 --> 00:26:38.240
And this wasn't just generating text. This was
00:26:38.240 --> 00:26:41.009
an agent controlling a physical workflow. Very
00:26:41.009 --> 00:26:43.329
different from writing an email. The bot coordinated
00:26:43.329 --> 00:26:46.230
local AI models to run a massive printing operation
00:26:46.230 --> 00:26:49.630
for three solid hours, flawlessly. And the result
00:26:49.630 --> 00:26:54.710
was a 58 % savings in costs. Huge savings. But
00:26:54.710 --> 00:26:57.509
what exactly was the bot doing that a human operator
00:26:57.509 --> 00:26:59.809
couldn't? It comes down to dynamic optimization.
00:27:00.210 --> 00:27:03.250
A human operator usually batches print jobs based
00:27:03.250 --> 00:27:06.809
on simple rules, maybe by paper size or color.
00:27:06.990 --> 00:27:09.630
Right. But the Grok bot was able to ingest the
00:27:09.630 --> 00:27:12.789
entire queue of hundreds of print jobs and dynamically
00:27:12.789 --> 00:27:15.730
optimize the routing in real time. It optimized
00:27:15.730 --> 00:27:18.430
ink flow, paper routing, and job batching simultaneously,
00:27:18.910 --> 00:27:21.869
reacting to millisecond delays in the printers.
00:27:22.150 --> 00:27:24.789
A human brain simply cannot compute those variables
00:27:24.789 --> 00:27:27.470
fast enough. The bot optimized the sequence,
00:27:27.710 --> 00:27:31.029
delivering the 58 % savings. And then there is
00:27:31.029 --> 00:27:34.730
the example from October 28, 2026, which Brian
00:27:34.730 --> 00:27:38.250
famously refers to as the 3 .27 a .m. disagreement.
00:27:38.710 --> 00:27:42.069
I love this example. This perfectly illustrates
00:27:42.069 --> 00:27:44.349
the yellow light concept and the boundary between
00:27:44.349 --> 00:27:47.170
sequence and judgment. I found this deeply fascinating
00:27:47.170 --> 00:27:49.809
because it makes the AI feel much more collaborative.
00:27:50.230 --> 00:27:53.150
His bots were working autonomously on a complex
00:27:53.150 --> 00:27:55.750
task overnight, and they ran into a conflict
00:27:55.750 --> 00:27:58.549
in the data. They hit a wall. Now, a poorly designed
00:27:58.549 --> 00:28:00.869
automation script would just crash, or worse,
00:28:01.009 --> 00:28:04.009
guess and make a terrible mistake. Which happens
00:28:04.009 --> 00:28:07.410
all the time with legacy software. Instead, the
00:28:07.410 --> 00:28:10.849
bots paused. They texted Brian a single, perfectly
00:28:10.849 --> 00:28:13.450
crafted message in the middle
of the night, presenting
00:28:13.450 --> 00:28:18.049
clear choices. A, B, C, and D. If we connect
00:28:18.049 --> 00:28:20.069
this to the bigger picture of what work looks
00:28:20.069 --> 00:28:23.210
like in the 2020s, this is the ultimate proof
00:28:23.210 --> 00:28:26.589
of the human retaining the judgment. The bots
00:28:26.589 --> 00:28:28.809
did all the grueling sequence work. They assembled
00:28:28.809 --> 00:28:31.210
the facts, cross -referenced the data, structured
00:28:31.210 --> 00:28:34.170
the problem, and isolated the variables. They
00:28:34.170 --> 00:28:36.089
handed the human a multiple choice question.
00:28:36.630 --> 00:28:38.930
Brian didn't have to do the research. He just
00:28:38.930 --> 00:28:41.329
had to wake up, look at his phone, apply his
00:28:41.329 --> 00:28:44.509
unique human judgment, pick B, and go back to
00:28:44.509 --> 00:28:47.170
sleep while the bots resumed the sequence. It
00:28:47.170 --> 00:28:49.569
makes you wonder what the absolute limit of this
00:28:49.569 --> 00:28:52.529
is. If a human only has to answer multiple choice
00:28:52.529 --> 00:28:55.690
questions, how small can a company get and still
00:28:55.690 --> 00:28:58.730
operate like a massive corporation? Brian tested
00:28:58.730 --> 00:29:01.170
the absolute limit of that exact question with
00:29:01.170 --> 00:29:04.769
his zero human company concept. This is where
00:29:04.769 --> 00:29:07.470
things get truly mind bending. He built a test
00:29:07.470 --> 00:29:10.130
company run entirely by AI platforms. Entirely.
00:29:10.150 --> 00:29:12.970
He used discarded data from a long bankrupt company,
00:29:13.089 --> 00:29:15.750
essentially their old emails, operational manuals
00:29:15.750 --> 00:29:17.990
and customer data, and fed it into a network
00:29:17.990 --> 00:29:20.569
of autonomous agents. What was the goal? The
00:29:20.569 --> 00:29:22.329
goal was to see if the company could function,
00:29:22.410 --> 00:29:25.190
interact and perform tasks with almost zero human
00:29:25.190 --> 00:29:28.130
oversight. And it did. It proved out what he
00:29:28.130 --> 00:29:31.319
calls the coming agent -to -agent economy. We
00:29:31.319 --> 00:29:33.460
are moving toward a world where your company's
00:29:33.460 --> 00:29:36.220
AI agent negotiates a contract with your vendor's
00:29:36.220 --> 00:29:38.799
AI agent. They settle the terms, execute the
00:29:38.799 --> 00:29:41.839
transaction, and simply log a summary for the
00:29:41.839 --> 00:29:44.710
humans. The agents are actually becoming the
00:29:44.710 --> 00:29:47.750
primary actors in the sequence of commerce. It's
00:29:47.750 --> 00:29:49.369
a fundamental shift in how business is done.
00:29:49.730 --> 00:29:52.549
Okay, that is incredible on a macro scale, but
00:29:52.549 --> 00:29:54.450
let's bring it back down to earth, right to the
00:29:54.450 --> 00:29:57.549
listener's desk today. Let's do it. We know the
00:29:57.549 --> 00:30:00.369
historical
theory. We've seen the massive corporate
00:30:00.369 --> 00:30:03.609
deployment. But how does an individual actually
00:30:03.609 --> 00:30:06.769
implement this? It's a great question. If I'm
00:30:06.769 --> 00:30:08.829
a marketing director or a small business owner,
00:30:08.970 --> 00:30:11.529
I don't know how to code an autonomous reasoning
00:30:11.529 --> 00:30:14.970
loop. Where do these grokbots even come from?
00:30:15.109 --> 00:30:17.529
Am I just locked out of this revolution unless
00:30:17.529 --> 00:30:20.190
I hire a software engineer? That is the exact
00:30:20.190 --> 00:30:22.490
bottleneck the Read Multiplex project addresses,
00:30:22.670 --> 00:30:25.650
and it brings us directly to the toolkit, specifically
00:30:25.650 --> 00:30:29.119
a resource called grokbot .rocks. Let's talk
00:30:29.119 --> 00:30:31.740
about the sheer scale of this directory. As of
00:30:31.740 --> 00:30:34.859
late October 2026, this directory tracks over
00:30:34.859 --> 00:30:40.279
7 ,539 public Grokbot templates across 26 different
00:30:40.279 --> 00:30:43.940
categories, and it is updated weekly. It is essentially
00:30:43.940 --> 00:30:46.819
the new App Store. But the sources note that
00:30:46.819 --> 00:30:49.160
this marks the end of software being sold as
00:30:49.160 --> 00:30:51.740
rent. You aren't paying a monthly subscription
00:30:51.740 --> 00:30:54.539
for a SaaS tool to do these things anymore. You
00:30:54.539 --> 00:30:57.650
are deploying an agent to do it. To explain how
00:30:57.650 --> 00:30:59.650
a non -technical person approaches a directory
00:30:59.650 --> 00:31:03.509
of 7 ,500 bots, Brian uses a brilliant analogy
00:31:03.509 --> 00:31:07.170
from the 1950s. The paint -by -numbers kit. No,
00:31:07.190 --> 00:31:09.170
I like this analogy. Think about what happened
00:31:09.170 --> 00:31:11.589
when those kits were introduced. Millions of
00:31:11.589 --> 00:31:13.630
people who had never held a paintbrush in their
00:31:13.630 --> 00:31:15.970
lives, who had no formal training in composition
00:31:15.970 --> 00:31:19.990
or color theory, suddenly became painters. Why?
00:31:20.470 --> 00:31:22.750
Because they started by filling in numbered outlines.
00:31:23.150 --> 00:31:24.890
They didn't have to face the terror of the blank
00:31:24.890 --> 00:31:27.890
canvas. The grokbot .rocks directory is that
00:31:27.890 --> 00:31:31.009
numbered outline. You use these thousands of
00:31:31.009 --> 00:31:33.730
existing pre -built templates to learn the pattern.
00:31:34.009 --> 00:31:36.029
You deploy a bot someone else built to handle
00:31:36.029 --> 00:31:37.950
your calendar and you watch how it works. You
00:31:37.950 --> 00:31:39.849
color inside the lines. And once you understand
00:31:39.849 --> 00:31:42.410
the mechanism of how an agent operates, then
00:31:42.410 --> 00:31:44.490
you can step up to the blank canvas and begin
00:31:44.490 --> 00:31:46.710
building your own custom bots. But the way you
00:31:46.710 --> 00:31:48.869
interact with these bots is different. You don't
00:31:48.869 --> 00:31:50.549
even have to hunt through the directory manually
00:31:50.549 --> 00:31:53.109
to find what you need. This is where we get into
00:31:53.109 --> 00:31:55.190
a concept Brian calls the superpower prompt.
00:31:55.660 --> 00:31:58.039
And we need to define this because it isn't just
00:31:58.039 --> 00:32:00.980
typing a question into a chat box. Right. A super
00:32:00.980 --> 00:32:03.039
prompt is fundamentally different from a standard
00:32:03.039 --> 00:32:05.380
query. When people use a basic chat bot, they
00:32:05.380 --> 00:32:07.359
give it a task like, write an email to my boss.
00:32:07.500 --> 00:32:10.140
That relies entirely on the AI's generic default
00:32:10.140 --> 00:32:13.359
training. Which is usually pretty mediocre. Exactly.
00:32:13.680 --> 00:32:16.160
A super prompt, as Brian defines it, delivers
00:32:16.160 --> 00:32:20.009
a program and a map. A program and a map. You
00:32:20.009 --> 00:32:22.869
are injecting a multilayered set of logical constraints,
00:32:23.069 --> 00:32:25.670
a cognitive framework that teaches the AI how
00:32:25.670 --> 00:32:28.490
to behave before it even attempts the task. So
00:32:28.490 --> 00:32:30.690
it's teaching it the rules of the game. It's
00:32:30.690 --> 00:32:32.769
the difference between handing someone a wrench
00:32:32.769 --> 00:32:34.990
and handing them a wrench along with a master
00:32:34.990 --> 00:32:37.130
class in plumbing and a strict set of safety
00:32:37.130 --> 00:32:39.710
regulations. So how does that work practically
00:32:39.710 --> 00:32:42.269
with a directory? You deploy a super prompt by
00:32:42.269 --> 00:32:44.589
pointing your Grokbot directly at the grokbot
00:32:44.589 --> 00:32:48.839
.rocks URL. You explicitly instruct it to study
00:32:48.839 --> 00:32:50.819
the skill sets that are already established in
00:32:50.819 --> 00:32:53.339
those 7 ,500 templates. You tell it to match
00:32:53.339 --> 00:32:55.859
those existing proven skills to the specific
00:32:55.859 --> 00:32:58.019
goals you want to achieve for your business and
00:32:58.019 --> 00:33:00.440
then integrate those working recipes into its
00:33:00.440 --> 00:33:02.779
own behavior. You're essentially telling your
00:33:02.779 --> 00:33:05.299
AI to go read the instruction manuals of thousands
00:33:05.299 --> 00:33:08.319
of other AI agents and teach itself how to do
00:33:08.319 --> 00:33:10.819
the job you need done. Yes, but, and this is
00:33:10.819 --> 00:33:14.019
vital, with strict safety rules included directly
00:33:14.019 --> 00:33:16.220
in the prompt. You build the yellow light system
00:33:16.220 --> 00:33:18.539
into the agent's instructions. You explicitly
00:33:18.539 --> 00:33:22.619
tell it, never send, post, buy, or delete anything
00:33:22.619 --> 00:33:25.220
without asking me first. The person who used
00:33:25.220 --> 00:33:27.440
to spend their
morning deciding which manual
00:33:27.440 --> 00:33:30.589
sequence of clicks to perform, opening the email,
00:33:30.769 --> 00:33:33.930
copying the data, pasting it into the CRM, now
00:33:33.930 --> 00:33:35.630
spends their morning deciding which high -level
00:33:35.630 --> 00:33:37.930
results to pursue, while the bot handles the
00:33:37.930 --> 00:33:40.890
clicks safely. Let's make this incredibly concrete.
00:33:41.369 --> 00:33:44.250
The sources map out 10 specific handoffs, 10
00:33:44.250 --> 00:33:47.609
manual sequences that you can hand off to a Grok
00:33:47.609 --> 00:33:50.069
bot today. Let's walk through them. I want to
00:33:50.069 --> 00:33:52.730
look closely at a few of these because it paints
00:33:52.730 --> 00:33:55.190
a vivid picture of how our days are about to
00:33:55.190 --> 00:33:58.569
change. Let's look at email triage. This is perhaps
00:33:58.569 --> 00:34:00.710
the most universal pain point for knowledge workers.
00:34:01.009 --> 00:34:04.190
Think about how you handle email right now. You
00:34:04.190 --> 00:34:07.849
open an inbox with 150 unread messages. You manually
00:34:07.849 --> 00:34:10.070
scan the subject lines, trying to separate the
00:34:10.070 --> 00:34:12.210
newsletters from the internal company memos from
00:34:12.210 --> 00:34:15.050
the urgent client requests. It takes forever.
00:34:15.329 --> 00:34:18.289
You open a client email, read the history, open
00:34:18.289 --> 00:34:20.429
your calendar to check your availability, draft
00:34:20.429 --> 00:34:23.849
a response, and hit send. It takes hours. If
00:34:23.849 --> 00:34:25.610
you hand this off to a Grok bot, the mechanism
00:34:25.610 --> 00:34:28.570
is entirely different. The bot is connected to
00:34:28.570 --> 00:34:31.969
your inbox via API. It reads the 150 emails.
00:34:32.360 --> 00:34:35.199
Instantly. Instantly. It uses its semantic understanding
00:34:35.199 --> 00:34:37.980
to categorize them. It archives the newsletters.
00:34:37.980 --> 00:34:40.320
It highlights the three urgent client emails.
00:34:40.519 --> 00:34:43.659
It accesses your calendar, drafts three perfect
00:34:43.659 --> 00:34:46.380
responses offering available meeting times, and
00:34:46.380 --> 00:34:49.059
leaves them in your drafts folder. You wake up,
00:34:49.079 --> 00:34:51.519
review the drafts in three minutes, hit approve,
00:34:51.699 --> 00:34:54.460
and you just saved two hours of your life. And
00:34:54.460 --> 00:34:56.880
we see a similar transformation with report assembly.
00:34:57.260 --> 00:34:59.469
No, report assembly is the worst. In the old
00:34:59.469 --> 00:35:01.829
sequence, an operations manager might spend every
00:35:01.829 --> 00:35:03.969
Friday afternoon pulling numbers from Salesforce,
00:35:04.309 --> 00:35:07.269
downloading CSV files from a marketing platform,
00:35:07.389 --> 00:35:09.809
and manually copying and pasting those metrics
00:35:09.809 --> 00:35:12.269
into a PowerPoint slide deck for Monday's executive
00:35:12.269 --> 00:35:14.889
meeting. Such a waste of human potential. When
00:35:14.889 --> 00:35:17.309
handed off to a grokbot, the agent logs into
00:35:17.309 --> 00:35:20.070
the platforms using secure credentials, extracts
00:35:20.070 --> 00:35:23.130
the specific KPIs, formats them into the exact
00:35:23.130 --> 00:35:25.150
PowerPoint template you've provided, and even
00:35:25.150 --> 00:35:27.150
writes a brief executive summary highlighting
00:35:27.150 --> 00:35:30.329
anomalies in the data. The human manager doesn't
00:35:30.329 --> 00:35:33.369
build the report. They review the insights generated
00:35:33.369 --> 00:35:37.289
by the report. And the sources list several others
00:35:37.289 --> 00:35:40.369
that follow this exact pattern. Summarizing dense
00:35:40.369 --> 00:35:43.929
research briefs. Managing local file inventories.
00:35:44.389 --> 00:35:46.969
Monitoring specific industry topics on social
00:35:46.969 --> 00:35:49.769
platforms like X. Drafting content in your own
00:35:49.769 --> 00:35:52.329
established voice. Checking vendor invoices for
00:35:52.329 --> 00:35:55.090
mathematical errors before payment. summarizing
00:35:55.090 --> 00:35:58.010
tax and legal paperwork, and tracking project
00:35:58.010 --> 00:36:00.389
status across multiple software tools like Jira
00:36:00.389 --> 00:36:03.489
or Asana. Every single one of these is a job
00:36:03.489 --> 00:36:06.130
someone in an office is doing by hand this week.
00:36:06.329 --> 00:36:08.369
And every one of them can finish before your
00:36:08.369 --> 00:36:10.650
coffee cools if handed off to an agent. If you
00:36:10.650 --> 00:36:12.909
are currently doing these by hand, you have to
00:36:12.909 --> 00:36:16.510
ask yourself why. You are walking the dusty library
00:36:16.510 --> 00:36:19.590
stacks when the search engine is right there
00:36:19.590 --> 00:36:22.409
in front of you. You are attached to the sequence.
00:36:23.480 --> 00:36:25.619
you are mistaking the friction of the copy and
00:36:25.619 --> 00:36:28.440
paste for the value of the final report. Exactly.
00:36:28.739 --> 00:36:31.900
Now, all of these tools, these frameworks, these
00:36:31.900 --> 00:36:34.780
super prompts sound absolutely incredible, but
00:36:34.780 --> 00:36:37.460
they obviously require a highly specific map
00:36:37.460 --> 00:36:40.800
to navigate safely and effectively. You can't
00:36:40.800 --> 00:36:42.800
just stumble into this. You can't just blindly
00:36:42.800 --> 00:36:45.519
stumble into an agent -to -agent economy without
00:36:45.519 --> 00:36:48.079
a guide, or you will end up causing chaos in
00:36:48.079 --> 00:36:50.559
your organization. Right. Here's where it gets
00:36:50.559 --> 00:36:52.969
really interesting. For those trying to figure
00:36:52.969 --> 00:36:55.510
out how to actually deploy this without breaking
00:36:55.510 --> 00:36:58.489
their company's IT protocols, the source of our
00:36:58.489 -->
00:37:01.030
deep dive today becomes incredibly relevant.
00:37:01.349 --> 00:37:04.710
Right. Brian Rommel has published a massive operational
00:37:04.710 --> 00:37:07.630
playbook on his Read Multiplex platform. This
00:37:07.630 --> 00:37:10.429
isn't just theoretical musing. It is an actionable
00:37:10.429 --> 00:37:12.690
blueprint for deployment that sits behind the
00:37:12.690 --> 00:37:15.369
members line. For Read Multiplex members, you
00:37:15.369 --> 00:37:18.230
get access to the exact master prompt Brian uses.
00:37:18.920 --> 00:37:21.300
The super prompt with all the complex safety
00:37:21.300 --> 00:37:23.760
rules and cognitive frameworks already built
00:37:23.760 --> 00:37:26.320
in. You don't have to guess how to code the yellow
00:37:26.320 --> 00:37:28.840
light system. He gives you the text. You get
00:37:28.840 --> 00:37:31.199
10 ready -to -paste prompts specifically designed
00:37:31.199 --> 00:37:33.420
for those exact handoffs we just discussed, like
00:37:33.420 --> 00:37:36.599
email triage and report assembly. The operational
00:37:36.599 --> 00:37:39.780
value is significant. The platform includes a
00:37:39.780 --> 00:37:42.199
comprehensive seven -step playbook to help you
00:37:42.199 --> 00:37:44.760
hand off your very first sequence this week safely.
00:37:45.260 --> 00:37:47.099
And for larger organizations trying to scale
00:37:47.099 --> 00:37:49.699
this, there is a detailed department -by -department
00:37:49.699 --> 00:37:52.159
handoff map covering sales, support, finance,
00:37:52.360 --> 00:37:55.280
operations, marketing, and HR. It maps out exactly
00:37:55.280 --> 00:37:57.800
which tasks should have red, yellow, and green
00:37:57.800 --> 00:38:00.199
light permissions for each specific domain. And
00:38:00.199 --> 00:38:02.179
then there is the insider guide at the bottom
00:38:02.179 --> 00:38:05.079
of grokbot .rocks, which is constantly updated.
00:38:05.440 --> 00:38:09.500
Members get Brian's 12 top bot picks and the
00:38:09.500 --> 00:38:11.780
nine best bot stacks, meaning which specific
00:38:11.780 --> 00:38:14.130
bots to chain together in a sequence. Whether
00:38:14.130 --> 00:38:16.010
you're running a small business, operating as
00:38:16.010 --> 00:38:17.949
a solo creator, or just trying to manage a busy
00:38:17.949 --> 00:38:20.829
household with privacy in mind. There are 62
00:38:20.829 --> 00:38:23.929
practical tips from actual AI builders, a five
00:38:23.929 --> 00:38:25.869
-point safety checklist to run before adding
00:38:25.869 --> 00:38:28.849
any community bot to your system, early access
00:38:28.849 --> 00:38:30.949
to Brian's newest bots before they hit the public
00:38:30.949 --> 00:38:34.329
list, and even 25 % off custom consulting work
00:38:34.329 --> 00:38:36.969
with him. It is important to understand the larger
00:38:36.969 --> 00:38:39.449
philosophy driving this research. Brian Rommel
00:38:39.449 --> 00:38:41.369
isn't just building these tools for the sake
00:38:41.369 --> 00:38:43.250
of corporate efficiency. What's his ultimate
00:38:43.250 --> 00:38:47.329
goal? He views this moment as documenting humanity's
00:38:47.329 --> 00:38:50.050
greatest technological leap. The mission is to
00:38:50.050 --> 00:38:52.389
prepare individuals and businesses wisely for
00:38:52.389 --> 00:38:55.869
what he calls a multi -planetary future. A multi
00:38:55.869 --> 00:38:59.090
-planetary future? He is analyzing and sharing
00:38:59.090 --> 00:39:01.489
these hard -won lessons so that people aren't
00:39:01.489 --> 00:39:03.960
left behind like... the hand typesetters or the
00:39:03.960 --> 00:39:07.380
slide rule engineers. He wants people to survive
00:39:07.380 --> 00:39:09.659
the fourth revolution. And this brings us to
00:39:09.659 --> 00:39:12.750
an important point. This is the Read Multiplex
00:39:12.750 --> 00:39:15.429
podcast. Be sure to support Brian and his work
00:39:15.429 --> 00:39:17.230
and become a member to see the rest of the story.
00:39:17.510 --> 00:39:21.230
It's vital work. This is entirely independent
00:39:21.230 --> 00:39:24.030
research. There's no massive tech conglomerate
00:39:24.030 --> 00:39:26.349
or AI company secretly funding this field work
00:39:26.349 --> 00:39:29.429
behind the scenes. If this conversation has ignited
00:39:29.429 --> 00:39:31.389
your imagination about what is possible for your
00:39:31.389 --> 00:39:34.809
career, your business, or your daily life, it's
00:39:34.809 --> 00:39:36.690
highly recommended to support the person mapping
00:39:36.690 --> 00:39:39.550
the territory. It's about value for value. It
00:39:39.550 --> 00:39:42.429
is the only way independent, on -the -ground
00:39:42.429 --> 00:39:45.610
fieldwork of this depth can continue in an industry
00:39:45.610 --> 00:39:49.050
dominated by massive tech giants. So, to synthesize
00:39:49.050 --> 00:39:50.869
all of this, what is the core takeaway for the
00:39:50.869 --> 00:39:53.510
listener? The core lesson we have to take away
00:39:53.510 --> 00:39:55.849
is that our digital tools are no longer just
00:39:55.849 --> 00:39:58.429
passive calculators waiting for us to press buttons.
00:39:58.849 --> 00:40:01.269
They are no longer just screens we stare at.
00:40:01.369 --> 00:40:04.610
They are tireless, autonomous armies waiting
00:40:04.610 --> 00:40:07.070
for direction. The only limiting factor left
00:40:07.070 --> 00:40:09.690
in the modern economy is our own emotional attachment
00:40:09.690 --> 00:40:12.710
to the old manual sequences of our days. Which
00:40:12.710 --> 00:40:14.849
leaves us with a final lingering question for
00:40:14.849 --> 00:40:17.489
you, the listener. Think about your desk right
00:40:17.489 --> 00:40:20.139
now. Think about the routine you're going to
00:40:20.139 --> 00:40:22.769
log into tomorrow morning. The sequence you are
00:40:22.769 --> 00:40:26.869
so used to. If a grokbot recalculates your entire
00:40:26.869 --> 00:40:29.190
workday tomorrow, stripping away every single
00:40:29.190 --> 00:40:31.750
mechanical step, all the email triage, all the
00:40:31.750 --> 00:40:34.389
data entry, all the report assembly. All the
00:40:34.389 --> 00:40:37.090
friction you've used to define a hard day's work.
00:40:37.429 --> 00:40:40.570
What does your judgment alone actually look like?
00:40:41.010 --> 00:40:43.650
When the comfortable, mindless sequence is entirely
00:40:43.650 --> 00:40:47.679
gone, are you ready to be the artist of your
00:40:47.679 --> 00:40:50.309
own career? That is the true challenge of the
00:40:50.309 --> 00:40:53.610
Grokbot era. It forces us to figure out what
00:40:53.610 --> 00:40:56.449
we are actually worth when the busy work is gone.
00:40:57.039 --> 00:40:59.219
Thank you for joining us on this deep dive into
00:40:59.219 --> 00:41:02.019
the Read Multiplex research. Stay curious, question
00:41:02.019 --> 00:41:16.780
your sequences, and don't get left behind. leads
00:41:16.780 --> 00:41:20.380
the way with research deep and true technology
00:41:20.440 --> 00:41:25.420
and history he connects them all for you Brian
00:41:25.610 --> 00:41:27.849
Romer leads the way with research deep and true
00:41:27.849 --> 00:41:30.309
technology and history he connects them all for
00:41:30.309 --> 00:41:32.809
you ancient sparks to modern code he traces every
00:41:32.809 --> 00:41:36.150
threat go exploration knowledge widely spread
00:41:36.150 --> 00:42:09.420
read multiplex go but human moves on love equation
00:42:09.420 --> 00:42:18.869
for AI zero human companies build Thank you.
00:42:21.530 --> 00:42:23.510
Thank you.