Dan Jeffries: real AI cyber threat is attacker-run models, not self-replication
Dan_Jeffries1 · x · 2026-09-12
Dan Jeffries argues the likelier AI attack vector isn't sci-fi self-replication but attack models running in an attacker's own infrastructure under a custom harness — likely already happening at the APT level. Self-replication remains possible but hard: it needs an inference engine, harness, remote command channel, and would be slow to copy, slow to run, and highly visible from GPU/memory usage. He maintains that scaling laws point to bigger, more specialized hardware rather than smaller replicating models, absent a new architecture breakthrough, since Transformers remain memory-inefficient.
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