A surprisingly robust approach to human verification would be to abandon visual classification entirely and instead exploit culturally embedded call-and-response patterns. There are obvious concerns regarding age and demographic bias, but these could potentially be addressed through a rotating corpus of challenges. More interesting is the adversarial question: while an LLM can trivially retrieve the expected response, can it distinguish between merely knowing the response and knowing when to come in?

When I say uh you say 'ah' Uh ah Uh Ah

Now when i say freeze y'all stop on a tidime

when I say freeze you just freeze one time

when i say freeze y'all stop on a dime

FREEZE

Now - all the ladies in the place, if you got real hair, real fingernails, if you got a job, you going to school and yall need nobody to help you handle yo business make some noise

NOOIISE

So - Dr. D. J. Kool has clearly been working on this thesis for some time