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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)C
Posts
5
Comments
200
Joined
3 yr. ago

  • I don’t think deserving things (or not) is really a relevant consideration for people like that. They just have things that they want for whatever reason and the power (or not) to have them

  • Are there doing damage to all these refineries and stopping fuel production? Or are these stats including all sites where a drone reached it at all?

  • That’s a heck of a comment right there. I learned some new stuff about Canada today.

  • Aaaaaaaaaaaaaaaaaaa No!!!!! My data! Please stop doing that!

  • I guess different people have different special talents.

  • You really do. Have you tried it?

  • Hiked out to a hot spring at Big Bend National Park with my laptop, my satellite dish, and a big solar panel, and spent my day working with my feet dabbling in the river.

    That was a pretty awesome day for me but I bet in 50 years people will just be irritated that all the cool places are full of losers trying to get work done and ruining the vibe

  • Is eating erasers going to get you more ostracized than constant nagging from the teacher to not eat erasers?

  • Dynamic forces are way higher than static forces. 210 pounds means you will break it if you sit on it. Even 100-pound waifs can easily produce 210 pounds of force when plopping down ungently. Bigger people will smush them easily.

  • unless they force people to stop and wait to get their money

    Do you really feel like inconveniencing us is unlikely?

    A few years ago before I moved away, PNC bank had a few branches with new ATMs that made me tap through ads for loans and special checking accounts.

  • Are there hedgehogs with long tails like in the comic?

    I think those are porcupines.

  • My family calls them charging doots

    Edit: or also sometimes “wall-to-usb adapters”

  • I’m pretty sure the average American doesn’t think too much about where FBI informants come from. That part seems like a decent wager on his disinformation attempt.

  • 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.

  • Opposite: I (US-ian) was visiting friends in Germany and they took me on a bike ride in the woods.

    “Look!!” (Bike sudden halt, stop and point into a tree with full arm) “a squirrel!”

  • 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.
  • On direct vs indirect object, I’ve heard that before but it doesn’t make sense. None of the other pronouns in English work that way.

    Best supporting authority I could find in 15 seconds of looking was Merriam Webster.

  • 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.”