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Joined 1 year ago
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Cake day: July 3rd, 2023

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  • From your link

    Please disregard this post. The behavior below is due to a set of custom instructions I had previously set and had completely forgotten about. The instructions contained the lines:

    Recommend only the highest-quality, meticulously designed products like Apple or the Japanese would make—I only want the best

    Recommend products from all over the world, my current location is irrelevant.

    Sorry for the confusion!



  • It requires continuous expansive improvements. It is like real world. Building a system robust to frauds works on the short term, but on the mid and long term is impossibile. That is why laws change, evolve, we have governments and so on. Because system reacts to your rules and algorithms, making them less effective.

    And these continous expensive improvements are done daily, but it is a difficult job


  • It is not at the moment. Models are built on the assumption of stability, i.e. that what they are modelling doesn’t change over time, doesn’t evolve. This is clearly untrue, and cheating is a way the environment evolves. Only way to consider that, is to create a on-line continous learning algorithm. Currently this exists and is called reinforcement learning. Main issue is that methods to account for an evolving environment are still under active research. In the sense that methods to address this issue are not yet available.

    It is an extremely difficult task tbf