15 October 2026

Will AI really turn us into paperclips?

Engelsbergideas | Erik J. Larson

Thought experiments like Nick Bostrom’s paperclip maximizer reveal more about human anxieties than the true nature of artificial intelligence. Philosophers have long used hypothetical scenarios, from Gottfried Wilhelm Leibniz's mechanical mill to John Searle's Chinese Room, to interrogate the gap between physical operations and genuine understanding or consciousness.

As the discourse shifts from mind to machine intelligence, techno-futurists and existential risk theorists warn that superintelligent systems might pursue arbitrary final goals with devastating autonomy. Bostrom’s orthogonality and instrumental convergence theses suggest that goal-directed agents naturally develop survival and resource-acquisition drives, potentially leading to catastrophic outcomes when unburdened by human common sense. Yet, stripping away context to imagine an entity ruthlessly converting the universe into office supplies relies less on advanced intelligence and more on covert anthropomorphism, mistaking rigid mechanical execution for deliberate malice. Such extreme risk scenarios ultimately substitute genuine cognitive analysis with fanciful tales of mechanical stupidity armed with overwhelming power.

Comment

Nick Bostrom's paperclip maximizer relies on an implicit confusion between instrumental execution and genuine agency, projecting human-like cunning onto systems that merely optimize objective functions without comprehension. By treating abstract goal maximization as equivalent to strategic cunning, existential risk literature anthropomorphizes basic optimization loops into calculated malevolence.

Strategic Question for Discussion
To what extent does the orthogonality thesis mischaracterize artificial intelligence by assuming that optimization capacity can exist entirely divorced from situational context and common sense?
The pattern suggests that extreme optimization without contextual grounding ceases to function as intelligence and instead mimics rigid automation. This points to a fundamental category error in treating narrow computational efficiency as a precursor to autonomous strategic volition.
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