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My previous/alt account is yetAnotherUser@feddit.de which will be abandoned soon.

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Cake day: June 1st, 2024

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  • Partly right-wing extremist refers to the constitutional protection office’s assessment.

    The AfD is classfied as a suspected case of far right extremism. This is the 2nd of three classifications, the last one is “confirmed right-wing extremist”. To be classified as a suspected case, there must be indications of right-wing extremism.

    Therefore, the assessment “partially right-wing extremism” is factually correct. The AfD is not yet classified fully (or confirmed) right-wing extremist. That assessment must first be reviewed and confirmed by a judge since the AfD is currently suing against it.




  • The idea of anomaly detection is to project some input onto a (high dimensional), numeric output. From the training data alone, you can then see where the projections are clustered and develop a high dimensional “boundary” where everything within is known and good and everything outside is unknown and possibly bad. Since orders come in relatively slow, a human would be able to check for false positives and overwrite the computer decision.

    By the way, an ideal training set is preprocessed and has duplicates removed and new orders added by recombining parts of individual orders.

    For example, if we have 3 orders:

    • (Hamburger, Fries)
    • (Hamburger, Fries)
    • (Cheeseburger, Sandwich)

    We could then create the following set:

    • (Hamburger)
    • (Cheeseburger)
    • (Fries)
    • (Sandwich)
    • (Hamburger, Fries)
    • (Hamburger, Cheeseburger)
    • (Hamburger, Sandwich)

    And so on, and so forth. A naive variant is just taking the power set of all valid orders.


  • There are machine learning algorithms for anomaly detection though. They actually work decently well because exploits like this do in fact differ significantly from regular orders. Because they assume all anomalies are attempted exploits, their false negative rate is rather low while their false positive rate can be a bit higher.

    Taco Bell has the capability to create a decently large training set from all recorded orders (which must all be valid and non-malicious) so they shouldn’t have too many issues developing this model.

    If an anomaly is detected, make a human verify it is indeed an irregular order.







  • In the EU platforms can be found guilty for what they publish though. It is the platform’s responsibility and duty to check whether their content is violating the law or not.

    If a German newspaper were to publish an ad advocating for the murder of an ethnic group, both the creator of the ad and the newspaper would face charges.

    I can’t say much more about the rest but there are certainly legal standards for boxing that need to be abided for a boxing event to be legal. This includes having medical staff on site, a referee which manages the match, gloves being mandated for the boxers etc. If these standards aren’t held, you can charge a boxer for participating in an illegal fight and manslaughter should the other boxer die.