“Wynton Hall’s new book Code Red: The Left, The Right, and
The Race to Control AI includes a sobering look at the rapidly evolving danger
of autonomous weapons, which look to change warfare in the Twenty-First Century
as profoundly as nuclear weapons did in the Twentieth — and it will be far more
difficult to keep the AI genie bottled than it was to restrain the
proliferation of nuclear bombs.
The problem is that unlike uranium
enrichment and intercontinental ballistic missile design, AI is cheap and
increasingly ubiquitous. The physical components of autonomous weapons are not
terribly expensive or difficult to produce. Hall notes in CODE RED that the
first confirmed example of autonomous weapons hunting down and killing human
targets, without direct human control, apparently occurred in 2020 in Libya,
using equipment manufactured by a Turkish defense firm. AI warfare is not an
exclusive game that only the world’s superpowers can afford to play.
“The democratization of lethal A.I. weaponry means that
technology that was once the exclusive domain of superpowers will increasingly
be available to a host of actors, both state and nonstate,” Hall notes.
Of course, the great powers will use more devastating
weapons to play for higher stakes. Israel’s use of AI to prosecute the Gaza war
was an astounding example of how machine learning can process intelligence and
lock down targets much faster than human operators. According to Israel Defense
Forces (IDF) officials, the three AI systems they used to track down Hamas
terrorists was dozens of times faster than Israel’s extremely efficient human
intelligence analysts.
Connecting such powerful data processing systems to
autonomous weapons brings mankind closer to the brink of hyperwar — an all-out
conflict between powerful nations that both rely on artificial intelligence. As
CODE RED points out, autonomous weapons have a speed advantage that will prove
to be crushing on the lightning-fast battlefields of tomorrow. No army can
afford to let its enemies monopolize the use of systems that can pinpoint and
eliminate targets faster, any more than an old-time gunslinger would pour glue
into his holster before a shootout.
“In the kill-or-be-killed reality of combat, a nanosecond
delay might send an American soldier home in a flag-draped coffin instead of
alive,” Hall observes. “While it’s wise to maintain a human-in-the-loop
capability, it’s equally important to let AI weapons run autonomously if an enemy
is doing the same.”
This inescapable logic brings us inexorably closer to the
day when autonomous weapons fight each other, and neither side can afford to
slow its roll by letting human beings exercise control over their drones.
Putting human fingers on the triggers would be suicidal. Leaving humans out of
the warfare loop is terrifying.
Another challenge facing the United States is that our
adversaries face nothing like the moral panics or activist obstacles that we
do. CODE RED chronicles how workers in the U.S. tech industry have rebelled
against military contracts and demanded assurances their code will never be
sold to the Pentagon, even when their intransigence puts the lives of American
service members at risk.
“You can be sure that the Chinese Communist Party (CCP)
doesn’t face such resistance to its civil-military fusion. And Russia’s tech
sector doesn’t oppose Vladimir Putin over his military modernization agenda,”
Hall dryly points out.
CODE RED offers a bit of optimism that this state of affairs
is changing, as even the most left-leaning, Kamala Harris-donating captains of
Silicon Valley realize that helping brutal authoritarian regimes gain a
qualitative advantage in militarized AI over the last bastion of true freedom
on Earth would be a dangerous gamble.
The chapter
on AI weapons opens with a quote that “whoever becomes the leader in this
sphere will become the ruler of the world.” The author of that quote was
Russian President Vladimir Putin.
Big Tech appears to be hearing the distant early warning
alarms.
The bottom line is that AI is a tool like any other: it
makes work cheaper and faster. Artificial intelligence is bidding to make
things cheaper and faster than any other human tool — perhaps all previous
human tools put together.
Hall reminds us that the first “autonomous weapons” were
land mines developed during the American Civil War. The basic principles of the
new autonomous weapons are not so different — except land mines don’t follow
their victims home by hacking into their social media profiles, or make
nanosecond decisions about who to kill, and who to spare.
Applying that power to the sphere of armed conflict and
information warfare means vicious non-state actors will soon have access to the
same killer drones, cyber weapons, propaganda machines, and recruiting tools as
superpowers. The strength of the Titans will be available to the lowest
miscreants at fire-sale prices. CODE RED warns us that not a moment can be
spared to ensure that America has an insurmountable lead in the new arms race.”
AI devices
come in swarms. You have bigger swarm – you win. You started doing financial
engineering, service economy or whatever – you lose, since you have no rare
earths, no supply chains, and no decent industry.
Swarm AI
systems (multiple decentralized, intelligent agents) are revolutionizing AI by
providing superior adaptability and resilience over centralized systems, with
larger swarms enabling greater competitive advantage in tasks like defense and
data analytics. Strategic control of rare earth elements, supply chains, and
industrial capacity is critical to sustaining this technological edge.
Key Aspects of the Swarm AI Era:
Decentralized Power: Swarm intelligence
excels by distributing tasks among many smaller, specialized agents rather than
one central model.
Strategic Industrial Importance: Success is
increasingly tied to the physical production of AI hardware, including rare
earth components, as well as supply chain control.
Dual-Use Technology: Countries,
particularly China, are leveraging swarm technology for advanced applications,
including defense, which require robust industrial bases.
System Resiliency: Swarm architectures
improve efficiency and adaptability in mission-critical applications by
ensuring that the failure of one unit does not stop the entire network.
Shifting Value: Value is increasingly
shifting toward organizations and nations that can sustain the massive
infrastructure needed to build and manage these AI swarms, rather than just
service-based economic models.
While the service economy and AI financial applications
remain important in earning money, the ability to produce and deploy AI
physically is seen as a dominant factor in long-term strategic competition.
There is no good replacement for this.
Only smart big countries will rule the AI-based world. Stupid ones will do financial engineering and service economy.
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