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Go NATIVE · Prompt Air

• 0:00
  So imagine opening your laptop and instead of,
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  you know, a neat grid of wires and a rigid silicon
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  chip, you find a literal ocean. Right, an actual
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  fluid. Yeah, a computer that doesn't use wires
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  at all, but pumps data through this ecosystem
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  of artificial neurotransmitters using, like,
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  math pulled straight from the physics of black
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  holes. So welcome to our deep dive into the research
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  report on the C30 -UNIX virtual processing unit.
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  It's a pretty wild topic today. It really is.
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  Our mission today is to help you understand how
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  the future of high performance computing is just
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  completely abandoning rigid, solid state silicon
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  in favor of these fluid, organic, brain -like
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  matrices. Yeah, I mean, it's a fundamental shift
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  in how we even conceptualize machines. We are
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  just so accustomed to computers being these engineered
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  binary logic grids, right? But the physical and
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  thermal limits of those flat chips are, well,
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  they're forcing us to look toward continuous
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  biological -style fluid computation. Okay, let's
• 1:00
  unpack this, because if I'm picturing this right,
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  traditional silicon chips work on a two -dimensional
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  electrostatic field. Exactly, yeah. It's like
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  drawing circuits on a flat piece of paper. But
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  this new architecture uses organic electrochemical
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  transistors, or OVCTs, that are suspended in
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  a thick conductive fluid. The report calls it
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  volumetric doping. So instead of that flat piece
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  of paper, the processor is essentially a 3D sponge
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  physically soaking up ions from the fluid. What's
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  fascinating here is that this physical absorption
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  process actually mimics biological synapses.
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  Wait, really? Like an actual brain? Yeah, pretty
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  much. In a standard chip, Memory is strictly
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  binary. So a one or a zero. But in this fluid
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  matrix, how those ions pool and linger in the
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  polymer creates true short and long term memory.
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  Oh, wow. Yeah. If pulses of data arrive quickly,
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  the ions accumulate just like calcium builds
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  up in human synapses. So the computer is actually
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  physically changing its own state based on the
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  data flowing through it. So it's basically an
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  artificial brain in a vat of high tech fluid.
• 2:02
  But that raises a. massive logistical issue for
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  me. Right. The routing. Exactly. If this computer
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  is a turbulent liquid instead of a grid of rigid
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  wires. How do you direct traffic? I mean, standard
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  XY data routing would completely fail in an ocean.
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  Right. But you just can't use a fixed grid for
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  a liquid. So to route the data, the engineers
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  had to adopt the 3 plus 1 ADM formalism. Wait,
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  hold on. Isn't that the math derived from Einstein's
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  general relativity? It is, yeah. Like the equations
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  physicists use to model quantum gravity in black
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  holes. Why on earth are we using that to route
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  computer traffic? Isn't that wild overkill? It
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  sounds like it, but if we connect this to the
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  bigger picture, data routing is no longer a standard
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  IT networking problem. It is now a physics and
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  fluid dynamics problem. Oh, because of the turbulence.
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  Exactly. We aren't moving electrons along fixed
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  metal tracks anymore. We are managing physical
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  waves in a continuous ecosystem. So the ADM math
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  allows the system to dynamically warp its own
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  logical clock, what they call the lapse function,
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  to wait for physical chemical reactions in the
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  fluid to catch up. So, like, if a region of the
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  fluid... depleted of ions the system stretches
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  time locally so it doesn't send data into a dead
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  zone precisely it manages the fluid turbulence
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  so the data doesn't physically scramble itself
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  in the waves that is insane so we have a physical
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  liquid processor routing data with space -time
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  relativity yeah but uh if this fluid is processing
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  hyper complex eight dimensional math in real
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  time how do we even read the output you can't
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  exactly plug a standard flat screen monitor into
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  an ocean Well, that brings us to what the report
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  calls the modern crisis of visual epistemology.
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  The crisis of visual what? Visual epistemology.
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  Basically, how we know what we know by seeing
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  it. Because of deep fakes and adversarial image
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  manipulation, flat 2D images are fundamentally
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  untrustworthy now. Right. You can fake anything
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  on a screen. Exactly. If a highly advanced fluid
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  AI throws a dashboard on a flat screen saying
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  everything is operating normally, you have absolutely
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  no mathematical guarantee that it is telling
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  the truth. So what does this all mean for you
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  when you're actually using one of these machines?
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  It means the days of reading flat PDF manuals
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  or looking at standard 2D dashboards are... Just
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  over. Completely over. To verify the system is
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  actually working, you have to use interactive
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  spatial computing. So think of a headset like
• 4:23
  the Apple Vision Pro 2 step inside a holographic
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  simulation of the fluid itself. Yes. You actually
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  have to interact with 3D holographic structures
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  known as phenoplane geometries. Phenoplane geometries.
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  Right. In a 3D space, you can visually see these
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  complex mathematical proofs locking together
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  perfectly. If the system were lying or malfunctioning
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  or hacked, those 3D geometric shapes literally
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  wouldn't fit together in front of your eyes.
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  I mean, the math simply wouldn't close. So you
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  aren't just trusting a generated image. You're
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  actually visually proving the math works through
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  physical geometry. Yeah, we are rapidly moving
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  away from binary logic etched on flat rocks.
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  Trust is no longer derived from seeing a picture
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  of the data. It's derived from interacting with
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  the physical and mathematical coherence of the
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  system itself. Which brings us right back to
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  that ocean of artificial neurotransmitters we
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  started with. It certainly does. And I think
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  it leaves you with a pretty wild thought to ponder.
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  If our computers become volatile, organic liquids
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  that require eight -dimensional physics and spatial
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  VR just to comprehend, at what point does debugging
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  a computer stop being engineering and start becoming
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  something closer to psychology or medicine?