Comment by jvanderbot
3 days ago
Ok, call me crazy, but I don't actually think there's any technical reason that a theoretical code generation robot needs emotions that are as fickle and difficult to manage as humans.
It's just that we designed this iteration of technology foundationally on people's fickle and emotional reddit posts among other things.
It's a designed-in limitation, and kind of a happy accident it's capable of writing code at all. And clearly carries forward a lot of baggage...
If you can find enough training data that does human-like things without have human-like qualities, we are all ears.
It can be simultaneously the best we have, and well short of the best we want. It can be a remarkable achievement and fall short of the perceived goals.
That's fine.
Perhaps we can RL away some of this or perhaps there's something else we need. Idk, but this is the problem when engineers are the customer, designer, and target audience.
Quality Spock pun.
Maybe. I use QWAN frequently when working with the coding agents. That requires an llm equivalent of interoception to recognize when the model understanding is scrambled or “aligned with itself” which is what qwan is.