| web site and contact info | http://lightandmatter.com/area4author.html |
| free-information projects | https://bitbucket.org/ben-crowell/ |
| blog | https://ben-crowell.bitbucket.io |
| web site and contact info | http://lightandmatter.com/area4author.html |
| free-information projects | https://bitbucket.org/ben-crowell/ |
| blog | https://ben-crowell.bitbucket.io |
Would anyone well versed in #Greek be willing to explain to me why this is subjunctive?
ἠΰτε πορφυρέην ἶριν θνητοῖσι τανύσσῃ
Ζεὺς ἐξ οὐρανόθεν, τέρας ἔμμεναι ἢ πολέμοιο,
(#iliad 17.547)
My understanding of the usages of the subjunctive is: negative and first-person commands, first-person possible actions, constructions with μή, and opinions about the future. This doesn't seem to fit any of those.
The 2016 U.S. presidential election caught a lot of people by surprise, including me. What caused its outcome, and how do we keep it from happening again?
In this blog post, I explain why I don't think individualized explanations like status threat are useful in finding a way forward. Instead, we should pay attention to broader factors like engineering the internet so it doesn't become even more of a cesspool.
A Manhattan jury has found that #Trump sexually abused & defamed #EJeanCarroll & awarded $5M in damages.
Carroll accused Trump of sexually assaulting her during a chance encounter at a Manhattan department store. He has denied her allegations, calling her a liar. Carroll sued him last year for battery & defamation.
#BelieveSurvivors #Rape #SexualAssault
https://www.washingtonpost.com/nation/2023/05/09/e-jean-carroll-trump-trial-verdict/
'"Too greedy": mass walkout at global science journal over ‘unethical’ fees'
The publisher is Elsevier, the journal is Neuroimage. The same team of editors is establishing a nonprofit open-access journal in its place.
#academia #publishing #science
https://www.theguardian.com/science/2023/may/07/too-greedy-mass-walkout-at-global-science-journal-over-unethical-fees
Very much worth reading this interesting and important interview with Cynthia Rudin, a Duke computer scientist who is working to prove that black box machine learning models "can be transformed into interpretable glass boxes that show their work."
“The whole framework of machine learning just needs be changed when you’re working with something higher-stakes," Rudin told Allison Parshall in @QuantaMagazine: https://www.quantamagazine.org/cynthia-rudin-builds-ai-that-humans-can-understand-20230427/