“The AI Con – How to Fight Big Tech’s Hype and Create the Future We Want” by E Bender & A Hanna, 2025
Trump has cemented approval for AI and crypto at the
highest ranks of the U.S. government, with cheers from people like Chuck Schumer.
That is after AIs incompetent use by DOGE to fire thousands of federal workers. In fact you might think the leading edge of
the techno dystopia is already here. This book undermines the astounding claims
made by AI as to its ‘intelligence.’ By
looking at the various attempts to institute AI, and it’s very real damage,
they prefer to call ‘artificial intelligence:’ ‘large language models,’ (LLM); ‘a
shoddy replacement for human labor’; ‘synthetic text-extruding machines’; ‘automation’;
‘text strings’; ‘a stochastic* parrot’;’ cheap electronic knockoff’; ‘extruded
art’; SEO**-optimized crud’; ‘synthetic journalism’; ‘cheap technological fix’ and
‘the summit of bullshit mountain.’ Cory Doctorow added his own: ‘enshittification.’
They, like most of us, are aware of the drastic problems of
AI. It is being pushed by billionaires
and Silicon Valley for profit because it will primarily replace human labor,
and secondarily, privatize and profitably degrade everything it touches –
social services, journalism, education, health care, art, law, science and
government. I’m not going to dwell on
the details. Instead I want to inspect the theoretical flaws of AI, and the
ideology that surrounds it.
DAMAGE
From AI Already
First, the documented damage. The authors could have used more of this, but
AI is new enough that lawsuits and news stories are still arising. 1. Self-driving cars and robotaxis
involved in hundreds of accidents. 2. Facial-recognition software
that picks out the wrong people, especially regarding black faces. 3. Plagiarized music, art, film and writing. 4. Incorrect news stories. 5. Incorrect science papers. 6.
Therapy chat-bots that spew out suicide tips. 7. Huge increase in the use of electricity and water, needing 1,580
terawatt hours of electricity in 2035 - as much as India. 8. Incorrect legal documents. 9.
Bad translation software and flawed ‘lie
detector’ tests used by Border Patrol and immigration courts. 10. The IDF uses AI to target
Hamas – meaning nearly everyone in Gaza. 11.
Flagging children for home removal based on AI ‘probabilities’ of abuse. 12. A social panopticon of surveillance
techniques. 13. Automating bail
decisions for judges that predict problems, shown to be racist. 14. New York used a city AI info system
that plain out lied and made sh*t up. 15.
United Health Group used AI to eject patients out of hospitals quickly. 16.
An AI book on foraging recommended picking and eating poisonous
mushrooms.
There is more but what is the point? The AI hype claims AI will solve global
warming, end poverty and cure cancer.
What about world peace?
AI
Ideology
Then there is the ideological side of bullshit mountain. Even the Silicon Valley avatars of AI like
Zuckerberg don’t have a real definition of intelligence. OpenAI’s nebulous
definition is: “highly autonomous systems
that out-perform humans at most economically valuable work.” Well, they
don’t always outperform, except at simple tasks, and ‘economically valuable’ is
a political statement. Since there are
at least 9 kinds of actual human intelligences, it shows this is something AI’s hype-masters have failed
to nail down. In fact they veer towards thinking racist and
classicist IQ tests actually measure intelligence. They don’t.
It is not to say that the authors don’t recognize a number
of automated processes that are useful in medicine or in math (a calculator!)
or searching – pattern-matching algorithms.
It is that this does not rise to the holy grail of general intelligence
– human intelligence. While this issue
is not addressed by the authors, humans exist directly ‘in the world’ as biological beings. Computers and robots do not exist
biologically or are ‘in the world’ in the same way. They cannot die for instance, which seems to
be part of what the authors call ‘the human condition.’ They do not have real emotions, which is tied
to biology. They cannot feel physical pain. They do not live in a society where
humans cooperate. They cannot do actual
physical science experiments, but only an inadequate job of publication
review. They cannot create art, but only
regurgitate what has already been done. They are the post-modern machine par
excellence. So claims that machines are
‘smarter’ than humans are like comparing two unlike things.
The ‘social’ part is important because most humans already
know not to spout vile ideas in a wide public.
This is part of a political and social conscience, which a machine does
not have because it is not part of an actual community, with face to face
communication. This is why these firms hire poorly-paid content viewers and ‘crowdworkers’ to remove misinformation, pedophilia,
murders, criminal acts, genocidal statements and whatnot from AI programs. And yet this doesn’t work, as Musk’s GROK
just proved again by praising Hitler.
AI boosters have various ‘philosophies’ outside of making money. Two seemingly opposed camps are the AI
‘Doomers” and the AI ‘Boosters.’
Ironically both support AI, but the Doomers want to prevent human
incineration (ala Matrix, 2001,
Terminator) by making AI ‘safe’ – by continuing AI! The authors charge the ‘Doomers’ with
exaggerating the power of their pet tech, to puff themselves up into saviors of
humanity. If you smell off-the-tracks
sci fi nonsense here, you are not alone. The authors contend that pointing at AI ‘doom’
ignores the very real damage AI has already caused and will cause.
![]() |
Your 'transhumanist' future |
The AI bosses have various other labels for their ideas – ‘accelerationist,’
‘transhumanist,’ ‘effective altruist,’ ‘longtermist.’ A philosopher has aggregated these
philosophies into TESCREAL – transhumanism, extropianism, singularitarianism,
cosmism, rationalism, effective altruism and longtermism. Every bullshit mountain needs a bushel of
ideologies to justify itself. Here they
are according to the authors:
1. Transhumanism,
extropianism, singularitarianism, cosmism – Humans will merge with machines and
then fly off to colonize space. Note:
Transhumanism was supported by Julian Huxley, a famous British eugenicist. I’ve
even seen some ‘leftists’ proposing it on Facebook.
2. Rationalism,
effective altruism, longtermism – Effective altruists claim to be
philanthropists who donate what they see as ‘good things’ to poor
people. Sam Bankman-Fried, the FTX crypto
conman now in jail, called himself one. Musk is a ‘longtermist.’ Longtermism is a kind of ‘utilitarianism’
that ignores present problems and suffering in order to prepare the technology
for humans to colonize space.
3. One of
the ‘rationalist’ techies just formed a small cult and ended up murdering a
number of people.
While ‘effective acclerationism’ is not in this acronym,
creeps like Marc Andreesen, a pro-Trump billionaire venture capitalist,
promotes AI as a general problem solver that will save humanity – presumably in
outer space. So an acceleration of AI is
needed. Martin Shkreli, the jailed
pharmacy conman, is also an accelerationist. If you note more sci-fi lunacy,
you are correct. They have given up on
this planet and human society, much like the Christian evangelicals hoping for
Armageddon. These libertarians are all sociopaths. The authors don’t say it but
probably agree.
Solutions
So what are Bender-Hanna’s solutions? If you’ve been reading this blog long enough
you know I’m going to point out how inadequate their fixes are. For one thing there is never an encroachment
on capitalist property or a real organizational alternative. Many don’t even
suggest a transitional or radical reform of some kind. After reading literally dozens
of books by left-liberal journalists, professors, experts and muckrakers about
the dire problems facing capitalism, you notice a pattern. They are all ultimately supporters of
capitalism with a human face, which seems to be disappearing in the rear-view
mirror - if it was ever really there. The multiplicity of problems is an
indicator that the system, like a sick person on life support with many
diagnoses, cannot combat them all.
So what do they suggest? I want to be surprised!
The solutions are: Ask questions. Resist AI at your workplace and union, as the
writers and actors did in Hollywood, and as National Nurses United has pledged
to do. Do not use AI. Patronize real
journalists, sites and databases.
Enforce existing regulations, especially FTC guidelines that companies
cannot claim their product does more than it can actually do. Oppose AI ‘self-regulation.’ Products have to prove they are not harmful
to be licensed or used. Have even more
regulation! Transparency, especially
within the black boxes that are AI chatbots and LLM. Disclosures when something is automated. Accountability and recourse in the courts and
in regulator fines. Data rights, privacy
and minimization. Labor protections for
copyright infringement. Support “building socially-situated technology” which
seems to suggest social ownership and control of AI companies, but no such
luck.
The authors point out lawsuits by JRR Martin, Jodi Picoult
and the NYT accusing AI of using
copy-righted material to train their software, if successful, will help kill AI
in some sectors. They also recommend
rejecting any idea that AI is inevitable. It is obvious, like the tech
‘dot-com’ boom in the late 1990s and the enthusiasm for mortgage investments in
2007, there is also an AI financial bubble.
It could remind one of the blockchain, NFT and metaverse flops too. The Chinese have come up with an AI that uses far less resources, which if true will undermine the U.S. versions. They
recommend making fun of the next AI ‘miracle’ you hear about, where a robot
will bring up your kids for you.
I was not surprised. These are all beginning reforms that
tinker around the edges but do not significantly challenge the control these
libertarian capitalists have over social software, the government or the
courts. The question is one of political
power.
*probability
**search engine optimization
Prior blogspot reviews on this issue, use blog search box,
upper left, to investigate our 19 year archive, using these terms: “artificial
intelligence,’ ‘computers,’ ‘software,’ ‘technology,’ ‘Luddite.’
And I got this book at the library. May Day has many books analyzing technology
from the left.
Red Frog / July 26, 2025
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