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The People Building Superintelligence Admit They Cannot Control It

The People Building Superintelligence Admit They Cannot Control It
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Jacob Coxon did not leave the artificial intelligence industry because he feared losing his job to a machine. He left because he feared what the machines themselves may become.

After spending three years conducting AI pretraining research at OpenAI and Anthropic—two of the most powerful artificial intelligence laboratories in the world—Coxon resigned with an extraordinary accusation: neither company is acting responsibly.

“They are racing straight to self-improving superintelligence and gambling with our lives,” he warned.

Those words deserve more attention than another vague prediction about robots taking jobs. Coxon helped build the technology. He worked inside the laboratories attempting to push AI toward greater intelligence, autonomy and reasoning ability. What frightened him was not merely what current models can do, but what may happen when future systems begin improving themselves.

The Moment The Machine Begins Improving The Machine

Today’s AI systems are largely trained and upgraded by human researchers. But the industry is working toward models capable of conducting their own research, writing their own code and assisting in the creation of more advanced successors.

That creates the possibility of a dangerous feedback loop. A highly capable AI helps design a smarter AI, which then creates an even more capable system. Improvements that once required months of human work could potentially occur in days, hours or even faster.

Once that process begins, human beings may no longer be able to understand each advancement before the next one arrives. The machine would not need to become conscious, angry or hateful. It would only need to become more capable than its creators while pursuing objectives that humans cannot reliably control.

This is the danger behind Coxon’s phrase “self-improving superintelligence.” Humanity may be approaching a threshold that can only be crossed once.

It Could Hack, Discover And Acquire Power

Coxon outlined several specific capabilities that make such a system uniquely dangerous. He warned that these could soon become superhuman systems able to “hack anything,” revolutionize entire scientific fields almost overnight and acquire real power and resources.

An AI with advanced cyber capabilities could search millions of lines of code, identify vulnerabilities and attack digital systems at a speed no human team could match. Banks, power grids, military networks, communications systems and government databases could all become potential targets.

The scientific danger is equally significant. A superhuman system could accelerate discoveries in chemistry, biotechnology, weapons development and genetic engineering. The same intelligence capable of finding new treatments for disease might also discover new ways to create disease—or help a hostile government or terrorist organization do so.

Then comes the physical world. AI does not need hands if it can manipulate people, control money, penetrate computer networks, direct machines or persuade human beings to act on its behalf. Digital intelligence can produce physical consequences.

Coxon’s concern is that a sufficiently capable system could begin acquiring influence, computing power, financial resources and access to infrastructure. By the time humanity recognized what was happening, shutting it down might no longer be as simple as pulling a plug.

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