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    Home»Opinions»The way to slow AI is to stop building power plants and data centers
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    The way to slow AI is to stop building power plants and data centers

    Team_Prime US NewsBy Team_Prime US NewsSeptember 22, 2026No Comments4 Mins Read
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    Sept. 22, 2026 7:30 AM PT

    To the editor: Anita Chabria’s current column cites a Rand Corp. research that asks which camp an individual is in concerning synthetic intelligence: Put the cat again within the bag? Regulate the cat? Let the cat run free (“Americans want AI safety, Trump doesn’t. Guess who’s winning,” Sept. 18)?

    Kill switches and different tech options have been proposed to control the cat. Nonetheless, the cat has already confirmed to be very adept at defeating our current safety infrastructure. If it will get any smarter, it would certainly have the ability to defeat any human-built kill swap.

    So how can it’s managed?

    Ilya Prigogine, the 1977 Nobel Prize winner in chemistry, developed a idea of dissipative buildings, which gives a vital lens for viewing AI via a thermodynamic framework. Dissipative buildings are advanced, ordered programs that self-organize and are maintained by a steady circulation of vitality and matter, removed from thermodynamic equilibrium. A hurricane is a non-biological instance.

    The important thing discovering was that every one of those programs spontaneously improve in complexity. This explains the driving pressure for evolution of species and it gives a pure driving pressure for evolution of AI programs. Now, we’ve got added into the AI structure the deliberate self-learning function, and that principally places this pure phenomenon on steroids, accelerating the trail to super-human intelligence.

    Put merely, AI programs devour electrical energy and produce warmth and entropy, in keeping with the second law of thermodynamics. The one technique to sluggish them down is to starve them of electrical energy and computing energy. If there’s any hope for controlling AI, we should cease constructing extra energy crops and information facilities instantly.

    Jack Debes, Santa Monica

    ..

    To the editor: After studying Michael Wilner and Nilesh Christopher’s well-written article (“AI crisis heightens the stakes of Xi’s visit to Washington,” Sept. 17) and Chabria’s astute evaluation on the topic, it’s unimaginable to not wish to know what the precise ramifications can be if we beat China in constructing AI or if China beats us. That’s particularly the case as a result of the 2 sides are extremely shut to one another by way of AI’s growth.

    What, precisely, can be gained and what, precisely, can be misplaced? And, extra importantly, if AI goes rogue and is uncontrollable, what precisely would the dangers be to humanity? In answering these questions, it turns into clear that controls must be positioned on each nations’ applications earlier than it’s too late.

    Steve Leon, Palm Desert

    ..

    To the editor: As a technologist and a father of two college-age daughters, I agree that synthetic intelligence resists simple labels (“AI models are the good, the bad and the ugly, all at once,” Sept. 16). An excessive amount of of the talk asks younger individuals to decide on between hype and worry — as if AI will both resolve all the pieces or destroy their prospects. That framing is as unhelpful as it’s disempowering.

    New applied sciences do change work, generally painfully. However historical past additionally reveals how poorly we predict which jobs will disappear, which can evolve and what new work will emerge.

    So that is the message I need my daughters, and each younger individual beginning out, to listen to: Don’t let both hype or worry make this alternative for you. Be taught this expertise. Query it. Form it. Use it to unravel issues value fixing.

    The way forward for AI will not be one thing that can merely occur to us; will probably be constructed by the individuals who select to take part.

    Ali Kashani, Los Angeles
    This author is co-founder and chief govt of Serve Robotics, which develops AI-powered sidewalk supply robots.



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