Authorisation vs. Consent An Article by Terence Eden shkspr.mobi I recently read this interesting, and distressing, story of a man who was drugged and robbed. A form of crime which has been going on for centuries. But the 21st Century twist is that the thieves forced him to transfer large sums of money via his phone's banking apps. While under the influence, the victim used his usernames, passwords, PINs, and biometrics to send money to the criminal's accounts. Is there a "technological" way to stop this? His banks initially refused to refund the stolen money. Only once the press stepped in did they relent. One bank, Revolut, said: This was an unusual case where the payments were authorised by the customer but, as is now clear, without his consent. Upstream Color crime
Rethinking Twitter Verification An Article by Terence Eden shkspr.mobi The main problem, I think, is that no one knows what "Verified" means. If I were in charge (which I'm not) there would be various types of ticks. 🤖 is a bot 🆔 proved their legal identity 🏭 is run by a brand ⚖ is run by a government department 👮 Official law enforcement 😎 Celebrity And so on. iconographyidentity
A brief foray into vectorial semantics An Article by James Somers jsomers.net One of the best (and easiest) ways to start making sense of a document is to highlight its “important” words, or the words that appear within that document more often than chance would predict. That’s the idea behind Amazon.com’s “Statistically Improbable Phrases”: Amazon.com’s Statistically Improbable Phrases, or “SIPs”, are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book. mathmeaningwordsnotetakingsearchchance