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Timothy Garton Ash Warns of Rapid, Hard-to-Control Acceleration in AI

Political thinker Timothy Garton Ash reports from Silicon Valley that experts there expect artificial intelligence to accelerate dramatically in the coming years, potentially entering a self-improving, exponential phase.

Timothy Garton Ash Warns of Rapid, Hard-to-Control Acceleration in AI

Timothy Garton Ash, a prominent political commentator, reports from Silicon Valley that artificial intelligence (AI) appears to be advancing faster than humans can effectively control. According to his account published in The Guardian, experts there expect AI’s progress to accelerate dramatically over the next few years.

What experts are warning about

The experts Garton Ash spoke with say we are close to a threshold where human-created knowledge can begin to improve itself and be refined across successive models. That self-improvement could start an exponential trajectory, and some systems may become, in several respects, more intelligent than their creators.

Diverging outlooks: benefits versus risks

The report cites Elon Musk, who foresees enormous material benefits from AI but also assigns a 10–20% chance that weaponized or “killer” robots could pose deadly risks to humanity. Geoffrey Hinton, often described as one of the “fathers” of modern AI, is reported to consider even darker, ‘hellish’ scenarios to be plausible.

Why this matters

These observations matter because rapidly accelerating, partially self-improving AI systems leave less time for governance, oversight, and mitigation than previously assumed. The range of expert opinion — from optimistic forecasts of wealth creation to warnings of catastrophic outcomes — highlights the urgent need for policymakers, researchers, and the public to engage seriously with the social, ethical, and safety implications.

Conclusion

Garton Ash’s account suggests that the accelerating pace of AI development is no longer solely a technical issue: it raises immediate policy and safety challenges, with experts sharply divided over likely outcomes.