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Nov 17, 2021
acx
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109 min 16,786 words 2,113 comments 442 likes podcast (128 min)
Scott Alexander analyzes ivermectin studies for COVID-19, finding most positive results likely due to methodological flaws, fraud, or confounding by parasitic infections. Longer summary
Scott Alexander provides an in-depth analysis of ivermectin studies for COVID-19 treatment, examining methodological issues, potential fraud, and confounding factors. He concludes that ivermectin likely doesn't significantly reduce COVID mortality except potentially in areas with high parasitic worm infections. The post explores broader issues around scientific credibility, fraud detection, and public trust in science. Shorter summary
May 22, 2015
ssc
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36 min 5,524 words 517 comments
Scott Alexander provides evidence that many prominent AI researchers are concerned about AI risk, contrary to claims in some popular articles. Longer summary
Scott Alexander responds to articles claiming that AI researchers are not concerned about AI risk by providing a list of prominent AI researchers who have expressed concerns about the potential risks of advanced AI. He argues that there isn't a clear divide between 'skeptics' and 'believers', but rather a general consensus that some preliminary work on AI safety is needed. The post highlights that the main differences lie in the timeline for AI development and when preparations should begin, not whether the risks are real. Shorter summary
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