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Cake day: July 15th, 2023

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  • Here are the salient details, minus the fluff:

    The haul had an estimated value of €47.5m, Mr Langella said, a figure which includes the value of the consoles and hundreds of licenses for the pirated programs.

    They were “all from China” and were imported to be sold in specialised shops or online, Mr Langella said.

    All the devices were fitted with non-certified batteries and electrical circuits and did not meet EU technical or safety standards. The seized games have been destroyed.

    Nine Italian nationals have been arrested and charged with trading in counterfeited goods. If found guilty, they face up to eight years in prison.






  • No, they patented a plastic shell containing buttons which charge capacitive screens but do not rely on transference. In other words, they can be used with gloves or anything else that inhibits capacitive touch.

    They cited about a zillion other patents for what you described: plastic cases with capacitive buttons (physical keyboard attachments, etc.).

    This is a perfectly acceptable usage of the patent system.

    Read it for yourself: https://patents.google.com/patent/US20180275769A1/en?oq=20180275769

    Incidentally, this company tries to cite their own patent:

    PlayCase – U.S. Provisional Patent Application No. 63/668,169 (filed on July 6, 2024)

    But a provisional patent is not a patent. Depending on its claims and citations, it’ll be interesting to see whether or not it’s granted by the USPTO, but my money is on no.

    They also use unlicensed trademarked images on their webpage.





  • The “learning” isn’t the same kind of learning that humans do. There is no abstraction or meta layer, only whether or not a sequence of inputs achieved an output deemed successful by a human. Programs like these interact with the game, essentially, as one static screen shot at a time. For any given configuration, the input that is most likely to result in success (based on prior experience in the form of training) is reinforced so it becomes more likely, a bit like training a dog. Except a dog knows what a ball is.

    This is similar to how Google’s Go models worked. For any given configuration, a set of probabilities are generated based on the weights in the model, which are based on the training (initial values are arbitrary). The main difference is that Google could simulate zillions of AI vs. AI games at a high rate of speed. Anything with a live stream attached is mainly for entertainment value and subscriber count, otherwise you would have the game run at 1,000x speed so the computer could actually train faster.

    But the side effect of this kind of training is that each level is a new experience. This is somewhat analogous to how infants learn to avoid holes while crawling, but then have to relearn that when they begin walking.