a self that touches all edges

San Francisco, CA
Joined May 2023
Fool that I am, expecting the sfo yoga room to be anything but packed to the gills with people actually doing yoga on this beautiful Saturday morning
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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.
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maggie retweeted
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
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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
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maggie retweeted
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
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Where do you stand? worldview.mts.now
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Thank you so much to @netcapgirl @schisofrenia for working with me on this, girl powerrr
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