niplav @niplav@schelling.pt

"Does the market have random-walk nature?"

"Put"

@Alephwyr ah no pls

The "I dont expect your children to die of old age" to "we are all the same age in years left" pipeline

I am always surprised about the degree to which normal people don't understand the stock market

@rime wouldn't go as far as Ngo to say all of alignment risk comes from here but seems like a rather large source

@rime staring at ontological crises for a while makes me believe this too

More parsimonious ai-values might be pretty weird to humans as an axis, just as simplocity priors are strange

@rime love this explanation! Explains some tension: if some parts generalize twd altruism and others twd selfishness you have to find the equilibrium

Only white people can be racist. Other ethnicities lack the moral, intellectual and cultural abilities to b

Time to shed some followers

I guess onlookers can figure out for themselves that PUA actually works

Fighting the urge to fight stupid dating takes on cross-site

@Paradox yeah, thattracks with my model

@Paradox adn drives are fulfilled at some point and then you gotta go to satisfy another one, running frpm drive to drive

@Paradox drives seem really importamt, as do desires built on abstractions of those drives

@Paradox not sure I understand

BRHS: BCHS but with Rust?

@Paradox They claim that human learning is a lot like current AI training: A lot of self-supervised pre-training+some fine-tuning+a little bit of RL (and in this view then multi-agent RL on top)

@Paradox If you're interested: https://www.lesswrong.com/posts/iCfdcxiyr2Kj8m8mT/the-shard-theory-of-human-values

If I were a Shard Theory person, I'd say that constitutional AI is a next step in training AIs in the similar way that humans are trained: Reinforcement learning from interacting with other agents, starting with a simple set of values