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spathi_fwiffo 2 hours ago

Replace 2 word instruction ('be concise') with a 38 word instruction.

Human can no longer be concise when asking for a few sentences instead of 20 paragraphs of BS they don't want to read when all they want is a summary to verify the general direction of the prompt-work before digging into the details.

such progress!

osigurdson 2 hours ago | parent [-]

I don't know how intentional it is / was, but LLMs in general just love to hear themselves talk!

mr_toad 4 minutes ago | parent | next [-]

> LLMs in general just love to hear themselves talk!

Because that’s what’s in the training set. Reticent humans don’t have blogs.

arjie 2 hours ago | parent | prev | next [-]

They do, and I want to encourage them to do so because they think through talking. What I don’t want to do is spend time reading all that.

We will probably just get reader-side affordances for this like auto-folded justification and introduction sections and so on.

Doubtless some chat interface will add this the way they’ve added reasoning folding.

bcrosby95 2 hours ago | parent [-]

Thinking models think through talking, don't reveal that talking, then answer by again thinking through talking. It's kinda funny in a way.

jimbokun 2 hours ago | parent | prev [-]

Is it just a coincidence that the companies creating them charge by the token?

pizzafeelsright 2 hours ago | parent [-]

The aligned incentive appears to be realigning in favor of the corporation.

Pray they do not realign them further.

There are times I require single word answers. I will use whatever model responds as I desire and at this point those models are just a few.

minimaxir an hour ago | parent [-]

The cost-per-task benchmarks align incentives toward more efficient output and those are the ones gaining steam.