would have been great
would have been great
Also, prediction markets. I quantify the calibration of my internal world models. Highly recommend.
Also, prediction markets. I quantify the calibration of my internal world models. Highly recommend.
It's better and worse with LLMs, harder to fix specific issues, but always seeing global improvement.
It's better and worse with LLMs, harder to fix specific issues, but always seeing global improvement.
- a general distrust of how early and forcefully it's being pushed into broad public use
- a general distrust of how early and forcefully it's being pushed into broad public use
- the cognitive bias of seeing something presented factually "in print" sneaking a "true" label into the brain
- code models don't yet save me time or effort, or do things I can't. I check in every few months, I expect this will switch eventually
- the cognitive bias of seeing something presented factually "in print" sneaking a "true" label into the brain
- code models don't yet save me time or effort, or do things I can't. I check in every few months, I expect this will switch eventually
I'm also concerned about resources going into new data centers, etc., but that's encouraged by paying the big companies (and hype), not by using small local models.
I'm also concerned about resources going into new data centers, etc., but that's encouraged by paying the big companies (and hype), not by using small local models.
I think @coloradotravis.bsky.social is basically right to use (electrical) cost as a proxy for damage done.
I have reasons not to use LLMs, but I predict resource use will trend to zero.
I think @coloradotravis.bsky.social is basically right to use (electrical) cost as a proxy for damage done.
I have reasons not to use LLMs, but I predict resource use will trend to zero.