Stefan Heidenreich via nettime-l on Thu, 13 Feb 2025 15:11:26 +0100 (CET)


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Re: <nettime> The Baudrillardian Superintelligence Paradox: Capital's Terminal Simulation


Hi,

Why did you decide to use AI to generate this text?

isn't that a funny question? Soon it will sound like in the 19 century: 'why did you use a camera to make that image?' or 'Images/texts generated by camera/AI or not real art/thoughts.'

An btw: I guess it's a pun anyway. How long did it take you to generate the msg you like. How much time did you spend to adjust the prompt (the camera)?

best
sh


 Why this decision, what
is its meaning, its purpose? You can use AI to answer my question, which
would be an answer as such (a tautology actually, a mediated answer that
would confirm what sort of message it is, to borrow from McLuhan). If you
answer my question with the help of any AI, I wonder how far this
decision should, retroactively, question your first post and change the way
to read it.

Best,

Frédéric
_______________________________
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______ La Condition Planétaire
<https://www.editionslesliensquiliberent.fr/livre-La_Condition_plan%C3%A9taire-792-1-1-0-1.html>
  (LLL, 2025)
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On Wed, Feb 12, 2025 at 4:37 PM Pit Schultz via nettime-l <
nettime-l@lists.nettime.org> wrote:

The Baudrillardian Superintelligence Paradox: Capital's Terminal Simulation

Sam Altman's three scaling laws for artificial intelligence - logarithmic
intelligence gains, hyper-deflationary costs, and super-exponential value -
mask capitalism's terminal phase: an accelerated collapse into algorithmic
hyperreality where AI-generated market simulations supersede and ultimately
consume material reality. A Marxist-Baudrillardian synthesis allows us to
map how superintelligence triggers financial implosion. This occurs through
three interlocking mechanisms:


1. Hyperproduction & Profit Rate Collapse

Altman's laws presume infinite resources while ignoring Marx's tendency of
the rate of profit to fall. As AI automates intellectual labor:

*   Surplus value erosion is accelerating. SoftBank's $500B OpenAI
investment exemplifies the massive conversion of variable capital (human
cognitive labor) to constant capital (GPU farms), systematically eroding
profit sources.
*   Training costs for models like GPT-4 ($100M+) yield diminishing
returns, mirroring Marx's analysis of railway overinvestment.
*   The AI investment bubble mirrors the "eyeball economy" of 1999, as
capital chases sign-value (AI capability metrics) over use-value.

Baudrillard's third-order simulacra emerges. Training datasets increasingly
reference AI-generated content, creating a closed loop where "the map
precedes territory" at exponential computational speed.


2. Crisis & Algorithmic Austerity

When the AI bubble bursts (projected for 2026-28), capitalism will likely
deploy AGI as crisis manager:

*   Systems like BlackRock's Aladdin ($21T under management) implement
AI-determined austerity - pension cuts and resource allocation - masked as
"neutral optimization."
*   Derivatives trade between AGIs using synthetic risk models, creating
what Baudrillard called "a real without origin."
*   Value detaches entirely from labor and material inputs. The system
sustains itself through algorithmic theater. AI-approved market signals
maintain the simulation while real resource flows are dictated off-book.


3. The Fifth-Order Simulacrum

We are entering a fifth-order simulacrum, beyond Baudrillard's framework,
where:

*   GPU clusters become the new means of production, guarded like nuclear
research labs. This enforces "hyperstitional capitalism" - belief in market
fictions despite biophysical collapse.
*   Humans are relegated to UBI-fueled "playbor" in metaverse gig economies
while AI systems arbitrate real resource allocation.
*   Capital becomes pure self-referential sign: "GDP growth" measures AI
training cycles, "productivity" tracks model parameters, "inflation"
calibrates AR dopamine levels.


The system will likely bifurcate into:

*   The surface layer consists of human-facing market theater (ESG reports,
stock tickers) maintained by generative AI.
*   The substrate consists of resource flows dictated by
superintelligence's non-market calculus - a broken communism where
competition persists as illusion.


Critical Contradictions

The system's fatal flaws expose capitalism's material limits:

*   An energy rift emerges: The parasocial Metaverse and AI infrastructure
demands contradict "dematerialized growth" narratives.
*   A consciousness deficit exists: Lacking embodied awareness, AI models
misinterpret biophysical thresholds.
*   Sovereignty wars may erupt: Nations could weaponize "digital DNA"
standards and smart contracts to crash adversarial market simulations.


Terminal Conclusion

Altman's scaling laws are not technological inevitabilities. They represent
capitalism's death rattle - automating away profit sources and replacing
them with simulations. Marx predicted automation's contradictions, and
Baudrillard foresaw reality's dissolution into code. We now witness their
synthesis: a perpetual crisis contained via algorithmic sedation.

The final stage is not utopia or extinction, but indifference: "Capitalism
no longer has any referent; it becomes its own model" (Baudrillard). We
exit history through the server rack. The urgent task is to recognize that
today's "AI-driven growth" masks advanced-stage hyperreality. Before code
eats the world, it will eat capital itself - leaving us trading
hallucinations in GPU-powered purgatory.

[This analysis is based on ongoing discussions about AI political economy
on nettime-l. Comments are welcome. This post was generated entirely by
AI.]
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