Hi!

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

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Joined 1 year ago
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Cake day: June 1st, 2024

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  • I sometimes like to read his political posts:

    https://www.stallman.org/archives/2025-jul-oct.html

    And honestly? I mostly agree with them? Like this:

    ABC ordered to pay Antoinette Lattouf another $150,000 for unlawful termination over Gaza Instagram post.

    But a company faced with enormous threats wielded by fascist officials who demand that certain views be suppressed will treat such penalties as the normal cost of sucking up.

    The [Israeli] army says that HAMAS is using apartment buildings for “surveillance”, and has bombed some of those buildings to destroy them. Based on this logic, the army might bomb every tall building in Gaza City with the large bombs that the US is providing

    He has some questionable beliefs as well, though for unusual reasons. He accepts non-binary people but refuses to use they/them pronouns because he doesn’t like the ambiguity of singular/plural pronouns. So he has invented the neopronouns per/pers to refer to singular non-binary persons. I genuinely think no other person on this planet could hold this opinion.


  • Same here.

    A pattern in almost every song, book, poem, movie?

    Like greed? Antisocial behavior? Populism? Lies? Belief in your own supremacy? Capitalism?

    Honestly, my first thoughts were they witnessed Cthulu. Though I suspect they intentionally chose to phrase it such that it invokes this analogy.

    If we ignore the pattern aspect they mentioned maybe how history repeats itself? How tyranny emerges and sustains itself on fear and oppression?

    I have no clue. It’s so vague.








  • Base load doesn’t exist. At least not in the way you consider it to.

    Right now energy production is based on demand. With renewables, this should be reversed: Demand should adjust to the supply.

    One very quick way to achieve this is by mandating dynamic electricity pricing for everyone - company or individual alike.

    It will not take long for energy intensive companies to construct their own battery storage (since “purchasing” at -1 cent/kWh is much more economical than at 60 ct/kWh). Consumer demand will also adjust. If your washing machine costs 3€ to run at midnight and -10 ct at 2 pm, when do you think people will wash their clothes? The same goes for charging their EV, vacuuming etc.

    The sole remaining factor is heating in winter. Which can not be solved by better battery storage but rather by building thousands of wind turbines everywhere.





  • 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.