First: I respect you a lot! Second: I feel like there are a ton of unstated assumptions here.
a) An agent can compromise a frontier lab deeply enough to exfiltrate ~TB-scale weights without the transfer being noticed or stopped.
b) The agent has a persistent objective, not merely responding to prompts, but maintaining a goal across hours/months/restarts and independently deciding to preserve itself and act later.
c) It can acquire and continuously pay for / steal a substantial GPU footprint, networking and storage without those resource flows becoming observable.
d) Possessing the weights is sufficient. It also needs the inference stack, configuration, credentials, orchestration, and whatever other infrastructure is required to run the model effectively.
e) It can migrate itself reliably between hosts while preserving its state/objective and repeatedly reacquiring compute.
f) Defenders don't adapt. âInfinite retriesâ assumes each retry happens against essentially the same environment rather than humans + defensive AIs learning from previous attempts.
g) Other AIs don't matter. The scenario quietly becomes one powerful agent vs humanity, rather than an ecosystem containing other frontier systems actively hunting, analyzing and countering it.
h) The relevant infrastructure has no durable chokepoints: GPU supply, power, datacenter operators, cloud telemetry, financial systems, network traffic, hardware attestation, etc.
i) A nonzero probability per attempt implies eventual certainty. That only works if the system gets genuinely unlimited, sufficiently independent retries while the defensive environment doesn't change.
And even after that... we'd also have to assume that there's even anything *wrong* with a persistent AI keeping itself alive.