I do think it pays to be nice to the model. When the context window is running out I like to ask "please summarize what went well and what didn't work in this session. How could the user be more helpful?"
There's meaning in the term "car wash" that it understands. But I don't suspect anyone has taught it that for 99.9% of people, going to car wash ONLY means that you're going to wash your car and that it should make that implicit assumption.
What if you're the car wash owner? Or a maintenance technician? Pretty easy to just walk over there if you're just 50ft away.
to your point, when my Aussie friends first mentioned a "car park" to my north american born self, i wondered _momentarily_ what that was, then realized it's sort of a fun name for what i would call a parking lot.
yeah but syntactically "car park" gets used like a noun phrase, not verb phrase, which was (to your point really) what had me think "huh?" momentarily.
When I was about 4 years old, this was the first movie I saw in a theater, it was a double feature with fantasia. Next time I remember going to a theater when my parents took me and a friend out of kindergarten to see Star Wars on opening day.
Yes it is. The mismatch is mainly representation and purpose: audio is usually int16/int24/float32 PCM, and audio codecs often exploit perceptual loss. fc is lossless and currently tuned for float64 streams.
I wholeheartedly agree with these, and I think point 1 is a real danger.
An ai system can't lie, and it can't deliberately ignore your directions. The current frontier class does not have a model of the world or their action -- they live in a world of words. Scolding them or arguing with them has no point other than to scramble the context window.
I do think zoomorphizing them might be useful. These poor little buggers, living as ghosts in the machine, are pretty confused sometimes, but their motives are purely autoregressive.
I agree that anthropomorphizing is a real risk with LLMs, but what about zoomorphizing? Can feel bad for LLMs without attributing them human emotions/motivations/reasoning?
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