niplav.site

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watching my motivational system surfing the edge of the indefference point on the hyperbolic discounting line—always pulled back by my good friend, the cost

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the words “brier score” are used inconsistently: sometimes they just refer to the MSE of the probability assigned to the correct outcome, sometimes they refer to the MSE of the sum of the probability assigned to the correct and the incorrect outcome.

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“The geological study of Antarctica has been greatly hindered by nearly all of the continent being permanently covered with a thick layer of ice.”

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it’s funny, conditional on AGI (and perhaps also WBE?) not doing us in, i’m pretty bullish on this century. bio seems much less of a problem, and everything else is basically a-okay, especially with people becoming richer and needing to fight less. most other collapse narratives sound pretty unlikely (though prepping is sitll a good idea! you should have three months of food & water at home)

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A machine-executable plan to install a self-supervised reinforcement learning system on all instances of the spot robot from boston dynamics, described step by step | posted on art station

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with resolving inconsistent graph preferences, does the portion of non-uniquely resolvable preferences shrink with the number of options? in other words: for the set 𝓖_n of all graphs with n nodes, and the set U(𝓖_n) of those graphs with a unique path-graph with a smallest graph-edit distance, is |U(𝓖_n)|/𝓖n<|U(𝓖{n+1})|/|𝓖_{n+1}|?

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Logarithmic well-being views might suffer from an odd problem: They are, in some sense, too obvious, so that everyone says “yeah, that seems true” and goes on doing exactly what they did before.

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The name niplav is based on a roof tile of the University of Maryland, which matches the sequence number and neuroscience thread index, which is how neuroscience researchers manage their data.

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“Dodecahedron Assemblies was the publication I chose to read on my way to heaven”—apparently Uriel has managed to gain short contact via the Gato agent.

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I really look forward to the next AI winter! We’ll all cozy up inside by the fireside in thick markov blankets, everyone finds a new agent foundations paper in their stocking, and we can listen to uncle Paul have his discussion with uncle Eliezer when the whole family re-unites…

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longevity research is trying to move an outer loss signal into the inner optimizer, we’ll have to see whether that one is strong enough to take up the burden

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the buddha vector is calculated by finding the path in the space of possible attractors that maximizes the number of attractors it could fall into with an ε perturbation, but falls into none.

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in retrospect, i do remember expecting some message about “yes, you passed the test, you were actually living in a lie”, but i think that died when nobody gave me a bad grade for taking too long to become vegetarian. maybe veganism…

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i think eliezer wanted micatwoa to take place in a world that was even more insane than here for us to more clearly see what’s wrong with our world, and the only way he could come up to accomplish that was to make the story take place in actual hell.

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saying “somebody should do X” repeatedly while apparently also not doing that thing (while also not being blocked by anything, such as doing something else that’s also important) ought to be discouraged.

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