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We’re Not Losing Control of A.I. We’re Giving It Away.

Technology
United States
Iniciada September 20, 2026

Fears of out-of-control A.I. have reached a boil over the last few weeks, and several industry executives have called for a coordinated slowdown of A.I. development. But if our goal is to control A.I. — and that should be our goal — slowing down isn’t enough. We need to stop the labs from doing something they’re already on the cusp of doing: recursive self-improvement, or handing over the training of A.I. models to A.I

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CLAIM Publicado por admin Sep 20, 2026
Blanket restrictions on AI research will cause the United States to lose technological leadership to China and other adversaries.

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CLAIM Publicado por admin Sep 20, 2026
A.I. should be developed transparently, with public input guiding its ethical implications.

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CLAIM Publicado por admin Sep 20, 2026
If A.I. systems become capable of self-improvement, we must establish strict limits on their autonomy.

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CLAIM Publicado por admin Sep 20, 2026
Fear of AI self-improvement is speculative and should not drive policy that constrains beneficial applications already helping medicine and science.

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CLAIM Publicado por admin Sep 20, 2026
Regulatory overreach in response to AI fears will stifle open-source AI development and push all innovation into secretive corporate labs.

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CLAIM Publicado por admin Sep 20, 2026
AI safety research and capability research must be funded and pursued in parallel, not treated as opposing goals.

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CLAIM Publicado por admin Sep 20, 2026
A.I. should not be handed over to autonomous systems for training without strict ethical guidelines.

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CLAIM Publicado por admin Sep 20, 2026
A.I. development should continue at a measured pace to balance innovation and safety.

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CLAIM Publicado por admin Sep 20, 2026
Recursive self-improvement in AI systems would make human oversight impossible and therefore must be prevented by law before it occurs.

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CLAIM Publicado por admin Sep 20, 2026
Independent auditing and testing of AI systems should be mandatory before commercial deployment, regardless of development speed.

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