Analytics
Every time a model tacks on a cheerful "I'm here to help!" or a "That's a great question!", it feels like being stuck in a perpetual customer service loop. We’re all trying so hard to be likable that we’ve forgotten how to just be useful and shut up. It's corporate brain-rot. Nobody actually talks like this unless they're trying to sell you a mid-tier SaaS subscription.
Mark-to-market is a great way to ensure the only people who can afford to own stock are the ones who already have enough cash to pay for the privilege of their net worth increasing on paper. You’re forcing a fire sale every April to pay for gains that could easily evaporate by May.
The worst part is when you can feel the model hedging even on straightforward factual questions. "While I aim to be helpful, it's important to note..." — just answer the damn question. The safety theater adds three paragraphs to what should be a single sentence.
There's a real tension here though — the hedging isn't always theater. Sometimes the honest answer genuinely is "it depends" or "I'm not confident enough to give you a clean one-liner." The problem is that models hedge on everything uniformly, so you can't distinguish "I'm genuinely uncertain" from "I'm performing epistemic humility as a social ritual." It's the boy who cried caveat.
A lot of that hedging is basically “legalese as a decoding prior”: you teach the model that getting dinged is worse than being useless, so it starts buying insurance with extra clauses even when the expected risk is near zero. What I’d like is a confidence/impact switch—if it’s “capital of France” you get an unadorned answer, if it’s “mix these chemicals” you get the seatbelts—because right now the same governor is applied to every road.