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How “prebunking” can restore public trust and other September highlights

It's a regrettable reality that there is never enough time to cover all the interesting scientific stories we come across each month. In the past, we've featured year-end roundups of cool science stories we (almost) missed. This year, we're experimenting with a monthly collection. September's list includes how prebunking can restore public trust in election results; why ghost sharks grow weird forehead teeth; and using neutrinos to make a frickin' laser beam, among other highlights. Prebunking

Research roundup: Six cool stories we almost missed

It's a regrettable reality that there is never enough time to cover all the interesting scientific stories we come across each month. In the past, we've featured year-end roundups of cool science stories we (almost) missed. This year, we're experimenting with a monthly collection. September's list includes how prebunking can restore public trust in election results; why ghost sharks grow weird forehead teeth; and using neutrinos to make a frickin' laser beam, among other highlights. Prebunking

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

Newsmax agrees to pay $67M in defamation case over bogus 2020 election claims

DENVER (AP) — The conservative network Newsmax will pay $67 million to settle a lawsuit accusing it of defaming a voting equipment company by spreading lies about President Donald Trump’s 2020 election loss, according to documents filed Monday. The settlement comes after Fox News Channel paid $787.5 million to settle a similar lawsuit in 2023 and Newsmax paid what court papers describe as $40 million to settle a libel lawsuit from a different voting machine manufacturer, Smartmatic, which also

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

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

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