C’mon guys, he’s too old! There should be a statute of limitations on being a career parasite and a net negative toward society. Fecal matter on the bottom of my shoe is still matter! Shit lives matter!
Today, on my final day as Director of National Intelligence, I’m releasing never-before-seen communications and documents exposing how Dr. Fauci provided millions in US taxpayer dollars to fund dangerous gain-of-function research at the Wuhan lab, worked with politicized elements within the Intelligence Community to suppress the truth about his actions and hide the virus’ lab-leak origins, and lied to Congress while under oath in 2024. It’s time you know the truth.
https://t.co/3YJSstB7d4
Largely unrelated to this post but if you think about the average person’s tendency toward laziness, gatekeeping, and general lack of, dare I say, agency!!!, (beyond the usual pathetic corporate striverism), then it all begins to make sense.
Which is also directly related to why models will not be able to replace most of these retards for a pretty long time.
@usr_bin_roygbiv People in big tech have no idea how low the bar is for models to replace tech workers if you just look at raw ability.
Competency bias.
@gfodor At this point it’s more like managing a really efficient and coked-out sharpshooter that you trigger with a prompt and hope that air resistance and wind will offset the effects of the arrogance and dope just enough to hit the target. But yeah, we’ll eventually get there.
I suspect math will be like Chess and Go due to verifiability. The period of fruitful collaboration between humans and AI will be short (i.e. a few years or less, not a decade). Progress in math will be jagged, with harder to formalize fields coming last, but I suspect this jaggedness will be compressed in time -- I expect superhuman performance at (nearly?) all areas of math within a few years (a few = 2-3?).
AIs will also be better at asking pure math questions than humans, and will quickly develop theories beyond human comprehension.
Human theorists will have a recreational comparative advantage over other humans in understanding these theories, but AIs will be better at communicating these theories to applied researchers. Pure mathematicians will need to become applied researchers to do productive work, until applied research is also automated.
Confidence level for prediction: 50-65% for gist, 40-50% for all above claims being correct.
Apparently, if you're a straight white male, Anthropic throttles your Claude Code tokens for equity reasons.. they're running a prediction model on your computer to do that. that's too much. some people have been using slang from the hood to increase their token allowance
REMINDER: Drunk driving and texting while driving are perfectly safe above a certain IQ threshold and the people who cause accidents while doing them are simply too retarded to be allowed to drive or learn how to read in the first place.
i love how people are saying "if we write a sufficiently detailed specification, the agent can write all our code"
do you know what writing a sufficiently detailed specification that deterministically maps to what a computer's actions is? it's coding
@Dr_Gingerballs That’s probably why they’re covering half of Utah with data centers. Just not sure if they’ll be able to catch up with the demand long enough for the hardware prices to come down.