[–] 18 points 1 year ago* (last edited 1 year ago)

Plex was great in 2001 2004 when I had videos on my Macintosh and I wanted to play them using the PS2 PS3 hooked up to the television.

20 years is a long time for a rug pull. I think they just found themselves more excited about money after a while.

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  • [–] 4 points 1 year ago (1 child)

    The chatbot is at its heart a text-completion program: "given the text so far, what would a real person be likely to type next? Output that."

    To get a vision of "normal", it is trained on a corpus of, essentially, every internet conversation that ever happened.

    So when an emo teenager comes in with the beginning of an emo conversation about beautiful suicide, what the chatbot does is fill in the blanks to make a realistic conversation about suicide that matches the similar emo conversations it found on tumblr which are... not necessarily healthy.

    The "guardrails" come in a few forms:

    • system prompt: All chatbots are using this. Before each session where the user starts a chat, the company feeds the chatbot a system prompt saying what the company wants the chatbot to do, for example, "Don't talk about suicide, ok? It's not healthy." This works to an extent but is easy to trick. As far as the chatbot is concerned, there is no difference between the system prompt and the rest of the conversation. It doesn't recognize any concept of authority or "system prompt came from the boss" so as the conversation gets longer and longer the system prompt at the beginning gets less and less relevant.

    • tuning: All chatbots are using this. After training the chatbot intensively on everything ever seen in the whole internet, give it a 2nd level of more targeted training where you rank it on "good" and "bad" -- these texts are bad, don't copy texts like this; these texts are good, do copy texts like this. This is not as targeted as the system prompt, and can have surprising side effects because what constitutes "texts like this" is not well-defined. Doesn't change the core behavior of the chatbot just wanting to complete the conversation like online example texts will do, including sick and twisted conversations.

    • supervisor: I don't know if this is in common use -- have one chatbot generate the text, while another chatbot which does not take information from the user watches it for "bad topics" and shuts the conversation down. These are really annoying, so companies have an incentive not to use a supervisor or to make it lenient.

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  • [–] 10 points 1 year ago

    Pronouns! Whom is correct here.

    Who / whom works like He / him —

    “The Trump administration attempted to label him a terrorist.”

    “The Trump administration attempted to label whom a terrorist?”

    “He is the person whom the Trump administration attempted to label a terrorist.”

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  • [–] 11 points 1 year ago* (1 child)

    They had a plunger, ball goes up and hits targets (or not) and falls down. Your score is however many targets it hit while it was up.

    Your controls were bumping and rocking the game case to try to make the ball bounce better off of things.

    Games have .. improved since then.

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  • [–] 2 points 1 year ago

    Speaking here as an art noob who generally knows nothing of what the pieces are supposed to mean or what their societal context was when they were made and what forces they were pushing against etc:

    When my arty partner drags me into art museums with huge abstract modern art pieces with just big splotches of heavily textured color (I’m thinking in particular of one giant piece filling a wall with jagged black heaps of paint) they do in fact make me feel feelings.

    In my case, as in OP’s case, they were really bad feelings. I would prefer not to feel really bad and I don’t like that art. But I certainly couldn’t call it ineffective fart-huffing!

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