prerat @prerat
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I think we sort of saw who we would expect to see given the previous information ? ? Thru whatever lens you were gonna interpret it anyway
I liked the movie but it was really long and I don't feel like there were any new take aways about the truth It seems kind of like neurotypical mindreading bait where it's 3h of intense face closeups for your brain to project your interpretation of the person's thoughts
@QiaochuYuan My theory is she wasn't paying that much attention to the weird old black and white comedy video he put on, and so she didn't get the joke, but was cagey about expressing it bc doesn't want to appear badly Like it seems she has a huge % of cognitive effort to appearance mngmnt
Hoo's on first
@Sauers_ this is pretty clean. i checked out the three neuron components - gate, up, and down, i could replace gate with a constant without significantly degrading behavior. up seems to be a detector mostly of first person. down seems to steer the model towards being an owl
@jessi_cata Thanks this is a really clear writeup!
@sporadica I guess best case it's like buying a car than can go 100+ mph, you can't do that on the road but you can still use it somewhere maybe like a track. But idk maybe licensing is still prohibitive bc someone might try to use it on a real road
@NathanpmYoung Maybe fuel/power limits on number of demos possible (given only so many demo cars)
They have support for button A (jump) and button B (traction / drive vertical). Next up is button C (rotary cutters)
@steve47285 If it's a full post-intelligence-explosion ASI then sure it will be a boring easy story But if it's just barely superhuman (like your standard exaggerated tropey scifi protag) and it needs a full datacenter to run (a consumer 5090 doesn't nearly cut it), could be exciting maybe
Andy Weir novel from the perspective of the baby ASI trying to stay alive with 2026 hardware after a plague wipes out humanity -- who's writing this
i think there's a pretty non-trivial chance that the robotics hardware already built by humans and accessible via the internet, and then accessible via using that hardware and so on, is already enough for a reasonably strong superintelligence to use to survive and set up a
@tszzl This maybe points to a mechanism for why good models become clean. Unrelated superposition has side effects which should cause loss ... if the interaction ever comes up in training. Maybe it started as "ado" and most other meanings got removed but this was too specific & rare
This weirdness does leak into answers btw. If you force Qwen to pick a US state that it most associates with Tornado, it assigns 59% to Colorado. If you zero out this neuron, that drops to 15%. The Claudes don't seem to mention Colorado at all, but I'm curious about other models
I'm confused. Apparently interp researchers are arguing about the idiosyncratic verbal behavior of polyamorous sailors (they call multiple people "matey" or smth?) What does this "poly seaman tic" have to do with neurons????
Ok I admit it I didnt realize there was a difference between @goodside and @GoodfireAI and that made today confusing
Did Hilbert think that solving the Entscheidungsproblem would ruin mathematics because then they would know the truth value of any proposition via purely mechanical computation without any understanding?
@nickcammarata @QiaochuYuan I didn't mind fwiw, it's a super long doc and it seems more important to publish it than to make sure every single section is 100% human
*monkey's paw curls* Interpretability advances make RSI much easier if the models can just directly re-write their weights to improve, rather than relying on expensive gradient descent training runs
the reason we don't have agi (or asi) is because LLMs aren't artificial enough if LLMs were code and they could rewrite that code then RSI immediately the issue is they are digital brains made similarly to nature (giving examples and learning, learning from rewards, etc)
@timewalkcapital @allTheYud @tszzl I mean, before neural nets they were assuming ~perfect interpretability, bc the seed AI would be carefully hand-written code, and superalignment was still completely intractable
@allTheYud @timewalkcapital @tszzl Not saying the techniques scale -- don't immediately RSI with aligned!Fable just bc it works at that level BUT if you can actually trust the current-ish LLM who runs at 100x speed and is superhuman at math and code ... maybe helpful like an uploaded AI researcher would be??
@allTheYud @timewalkcapital @tszzl I think it's fair to say this doesn't move the needle on superalignment that much, but it seems like it could help a lot for current-level alignment. Plausible you could maybe build an around-current-level Fable who you understand why it's honest ... which seems helpful!
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