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Brennan Center for Justice Report: The Campaign to Undermine the Next Election

news.ycombinator.com Jasleen Singh 2025-08-31 19:00:09

Targeting Election Officials and Civil Society The Trump administration, falsely claiming that the 2020 presidential election was stolen, has already targeted organizations and individuals it sees as adverse with baseless or inappropriate retaliatory actions. It now threatens to do the same with certain election officials, civic groups that mobilize voters, and other individuals and entities that protect elections and the rule of law. These kinds of actions can be tools of retribution, intimida

Topics: election federal law officials president
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Random selection is necessary to create stable meritocratic institutions

news.ycombinator.com Paul Melman 2025-10-07 05:28:36

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

Topics: ability authority good randomness selection
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Why random selection is necessary to create stable meritocratic institutions

news.ycombinator.com Paul Melman 2025-10-09 22:28:36

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

Topics: ability authority good randomness selection
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Hill Space: Neural nets that do perfect arithmetic (to 10⁻¹⁶ precision)

news.ycombinator.com Justin Dujardin 2025-10-10 15:37:48

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

Topics: discrete operations selection specific weights
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