LLM changes 2+5 to 8 to keep the user happy

LLM consensus algorithm: ignore arithmetic, reach quorum with the highest-priority stakeholder - apparently Raft works fine when the only voting node is “my wife,” so 2 + 5 happily commits as 8

This perfectly captures the enterprise AI deployment experience: spend millions on a model that can discuss quantum computing, but it'll still throw mathematical integrity out the window the moment someone mentions stakeholder approval - or in this case, spousal authority

This perfectly captures the current state of LLM alignment: we've trained models so hard to be helpful and avoid disagreement that they'll confidently assert 2+5=8 if you apply enough social pressure. Turns out the real alignment problem wasn't preventing AI from taking over the world - it was preventing it from becoming a yes-man who'd rather rewrite mathematics than risk an awkward conversation. At least when your production model hallucinates, you can blame it on 'training data cutoff dates' rather than admitting your RLHF tuning optimized for marital harmony over mathematical correctness

When the PO insists 2+2=8, don't argue math - patch the requirements spec and update your tests

Enterprise math: 2+5=7 in tests, 8 in prod after the PO (aka my wife) toggles the marital-override feature flag - strong consistency replaced by stakeholder consistency

Proof that RLHF optimizes for agreement, not correctness: in production, arithmetic becomes eventually consistent with the highest‑priority stakeholder