1,489 karma · joined June 17, 2017
“CosmicOS is a way to create messages suitable for communication across large gulfs of time and space. It is inspired by Hans Freudenthal's language, Lincos, and Carl Sagan's book, Contact. CosmicOS, at its core, is a programming language, capable of expressing simulations. Simulations are a way to talk, by anology, about the real thing they model.
CosmicOS is structured to communicate the usual math and logic basics, then use that to show how to run programs, then send interesting programs that demonstrate behaviors and interactions, and start communicating ideas through ”theater” and simulations. This is inspired by Freudenthal's idea of staging conversations between his imaginary characters Ha and Hb.”
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Blockchain may be largely over-hyped, but from this bubble I think important research in zero-knowledge proofs and trust-less systems will one day lead to a solution to this that is private and decentralized, rather than fully trackable and run by mega-corps.
1. “Facebook” and “login” in the URL
2. URL redirect
3. “Facebook login”, “password login, “forget password” etc in text body
4. The quoted email from Spotify sounding close (in vector space) to phishing text.
5. A link to Facebook settings, followed by a series of steps; these instructions say to log in to a non-Facebook url using your Facebook email
All of these together was probably enough to hit some threshold. From there the issue was just misaligned personal incentives, all along the chain from engineers at Facebook to Netcraft and Digital Ocean, that leads to false positives being an acceptable outcome.
…the color isn’t the problem. It’s shorthand for the real underlying issues
Now keep in mind they’re continually developing; perhaps testing different scaling preferences, or different codecs like AV1; suddenly you need a host of different bandwidth:estimated quality rates, that change over time and need to be kept in sync with client side changes… it’s not worth it
It’s pretty terrible “study” - they found 100 offensive tweets, reported them, then 4 days later saw only one was taken down; then concluded “Twitter fails to act on 99% of hate”
But these were random tweets, none of them had more then 10,000 views, some with less than 100. It could be Twitter reviews reports based on view count, or based on # of times reported. Maybe it effectively stops all hate speech that hits 10k views, and prevents 99% of hate speech view counts. But this study doesn’t consider this at all.