Describes “How “Lockheed’s law” keeps defence costs down”.
Compare to Moore’s law (e.g. described in
http://lectures.gersteinlab.org/summary/Biomed-DataSci-Intro–20190416-i0hm19)
Describes “How “Lockheed’s law” keeps defence costs down”.
Compare to Moore’s law (e.g. described in
http://lectures.gersteinlab.org/summary/Biomed-DataSci-Intro–20190416-i0hm19)
https://www.economist.com/science-and-technology/2023/04/19/how-generative-models-could-go-wrong How generative models could go wrong
A big problem is that they are black boxes
https://www.economist.com/science-and-technology/2023/04/19/large-language-models-ability-to-generate-text-also-lets-them-plan-and-reason How generative models could go wrong
A big problem is that they are black boxes
https://www.economist.com/leaders/2023/04/20/how-to-worry-wisely-about-artificial-intelligence
https://twitter.com/boron110/status/1570761167232016389
Thought the recent @ScienceMagazine podcast about the asteroid deflection mission dealt well with the effect of science on
sci-fiction and *vice-versa*. Wonder if this interplay happens in other scientific contexts?
https://www.theweek.co.uk/news/world-news/russia/955813/why-world-leaders-refuse-give-russia-dna
Thought this story was intriguing in relation to genomic #privacy & how the pandemic has potentially amplified worries about it. It was presaged by an opinion piece we did a decade ago
(https://USAToday.com/story/opinion/tory/opinion/2013/06/27/dov-greenbaum-and-mark-gerstein-on-nsa-and-genetics/2465589)