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William James at CERN (1995)

William James at CERN Some Examples of Selection in Minds and Computers 1. William James Principles of Psychology This is obviously true of action. Whatever views your views on free will, it is indubitable that differing options occur to us, that we compare them, that we prefer some to others, that eventually we elect one and dismiss the rest. More interestingly, James describes the role of selection in perception, and finds it at every level of neural and mental life. The sense organs, to b

Circle to Search could be adding new Translate options (APK teardown)

Rita El Khoury / Android Authority TL;DR Our teardown of the latest Google app beta reveals that Google is testing more changes to the Circle to Search UI. The Translate shortcut following a selection may move to a more prominent spot. A new “Change selection” button would appear in the same section after you’ve searched. Circle to Search has quickly become one of Google’s most recognizable features, offering a simple way to look up anything on your screen with a quick gesture. Since launchi

Random selection is necessary to create stable meritocratic institutions

Campbell's Law (a variant of Goodhart's Law) states that the more a metric is used for social decision-making, the more it will be subject to corruption which distorts and corrupts not only the metric itself, but the very social processes it was meant to measure. Selection criteria for a position of authority are one example of such a metric. When selection criteria are opaque, it is difficult for them to become a target, preserving their utility as measures. For governance positions however, it

Why random selection is necessary to create stable meritocratic institutions

Campbell's Law (a variant of Goodhart's Law) states that the more a metric is used for social decision-making, the more it will be subject to corruption which distorts and corrupts not only the metric itself, but the very social processes it was meant to measure. Selection criteria for a position of authority are one example of such a metric. When selection criteria are opaque, it is difficult for them to become a target, preserving their utility as measures. For governance positions however, it

Hill Space: Neural nets that do perfect arithmetic (to 10⁻¹⁶ precision)

When understood and used properly, the constraint W = tanh(Ŵ) ⊙ σ(M̂) (introduced in NALU by Trask et al. 2018 ) creates a unique parameter topology where optimal weights for discrete operations can be calculated rather than learned . During training, they're able to converge with extreme speed and reliability towards the optimal solution. Most neural networks struggle with basic arithmetic. They approximate, they fail on extrapolation, and they're inconsistent. But what if there was a way to m