Delete the metadata off this photo. I'm so serious.
These are some of the last wild billboards left in the bay area. You just gave the poachers (US Park Police, 415-561-5505) their exact location.
@james406 11 rounds.
he met half the company.
we called his mum to verify "load bearing childhood traits"
final hidden test:
300k or a GPU.
he picked the cash
offer withdrawn. Told him it was a "values misalignment"
real reason? We don't have any cash. Only GPUs
LLMs are repricing the DSM in real-time. hyperfocus? asset. pattern matching? automated
i now need to rotate my personality traits like a shish kebab to keep up
LLMs are repricing the DSM in real-time. hyperfocus? asset. pattern matching? automated
i now need to rotate my personality traits like a shish kebab to keep up
@cneuralnetwork buy it and try it for a few days or weeks, if you don't like it just sell it. even 20-30% depreciation is worth getting 1-2 hours back lol
@luke_drago_ p sure most companies could go much further with this if they realized how much incentives matter. productivity is decoupling from hours faster and faster. at the same time, beyond salary and joy in work, there's little reason to push harder
p sure colleagues spending less than 4k/mo are using the productivity boost to work less. incentives matter more than ever. even 10k seems low. (spend isn't a perfect proxy but still)
@gabriel1 it takes most people over a year to adopt AI properly, from watching my colleagues adopt it. for ~20% or so it takes a few months. I'm seeing power law spend/adoption internally
@scaling01 revenue is lagging because the bottleneck here is org structure in most companies. they just don't know how to use more. in a lot of orgs in a human/model eval, the humans would lose out lol. anyway, it just means incumbents will settle for good enough while ai native ones win