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I have a lot of respect for Nick, and I’d be very happy if neural networks were much easier to understand than we thought. But I think the argument here mischaracterises what superposition predicts. Since it’s getting attention, here’s a first pass at some issues.
We’re tracking live the conversation around @nickcammarata's field-overturning findings in mechanistic interpretability. The debate on its implications is moving fast — use our tool to explore the opinions and rebuttals of top researchers to develop your own intuition.
Where do you stand on AI's biggest questions, and who agrees with you? Worldview's interview finds your position, then places you on a map of researchers, forecasters and lab leaders, built from what they've actually said on the record. worldview.mts.now
So here’s the major cruxes we’ve found from @nickcammarata’s Already Clean post. Trying to develop the best resource for myself as a mech interp lurker :^) Explore it at worldview.mts.now
@rudzinskimaciej No I see what you mean dw I'm definitely gonna look into all of this
X is a firehose of takes. I’ve always wanted an easy way of making them less slippery and understanding where people are coming from or what arguments they’ve considered. I think this is a fun first step to understand how discourse evolves. Excited to see how this can grow!
Where do you stand on AI's biggest questions, and who agrees with you? Worldview's interview finds your position, then places you on a map of researchers, forecasters and lab leaders, built from what they've actually said on the record. worldview.mts.now
@rudzinskimaciej tysm! good points here I think all under consideration but definitely want people to be able to downvote to remove a bad claim/tweet
The interview helps you calibrate your opinion about the major questions in AI and helps us map the space better
Where do you stand on AI's biggest questions, and who agrees with you? Worldview's interview finds your position, then places you on a map of researchers, forecasters and lab leaders, built from what they've actually said on the record. worldview.mts.now
@hopes_revenge @MTSlive Totally! I really wanna make this super agent-friendly and dense so people can do their own visualizations based off it
Thank you so much to @netcapgirl @schisofrenia for working with me on this, girl powerrr
hey I made this! check it out tell me how cool it is
Where do you stand on AI's biggest questions, and who agrees with you? Worldview's interview finds your position, then places you on a map of researchers, forecasters and lab leaders, built from what they've actually said on the record. worldview.mts.now
Where do you stand on AI's biggest questions, and who agrees with you? Worldview's interview finds your position, then places you on a map of researchers, forecasters and lab leaders, built from what they've actually said on the record. worldview.mts.now
@manas_ravul_21 x.com/nickcammarata/…
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came
immediately emailed my neuro advisor. how cool
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