• 0 Posts
  • 33 Comments
Joined 1 year ago
cake
Cake day: July 3rd, 2023

help-circle


  • I don’t really agree at all.

    The overwhelming majority of people are going to be calling from a cell phone with data access now. It’s time to consider including data access to emergency services w/ emergency roaming functionally just like we do with calls and sms. A system can and should be built out to provide emergency gps, video + information services like we described and live video calls. We have the technology we just have to cut through bureaucracy.

    Providing advanced smartphone functionality in emergencies could be hugely beneficial.





  • Kelce’s rumored relationship with the “Blank Space” singer sent Swifties (fans of the singer — which includes me) into meltdown.

    Who the fuck writes like this? This is just SEO keyword drivel. Great, now the article might appear in searches for the song title and ‘swifties’ but it reads like the author had a stroke mid article and couldn’t remember who they were talking about



  • tehmics@lemmy.worldtoMemes@lemmy.mlit is full
    link
    fedilink
    arrow-up
    2
    arrow-down
    1
    ·
    1 year ago
    1. The nitrogen is to keep them from going stale in oxygen. The amount of nitrogen across various chip manufacturers ranges from 19% gas all the way to 59%. That discrepancy range is where the psychology comes into play.

    2. The gas is partially pack fill to keep them from getting crushed, obviously. My whole point was that it is significantly more gas than necessary for pack fill.

    Fact is if you make the package look bigger, people think there’s more. There’s a reason we have laws about unnecessary slack fill. Nice try though, Dwight





  • We can certainly argue over what they’re designed to do, and I definitely agree that’s the goal of them. The reality though is that on some level it is impossible to separate assertions from the words that describe them. Language itself is designed to communicate ideas, you can’t really create language without also communicating ideas, otherwise every sentence from an LLM would just look like

    “Has Anyone Really Been Far Even as Decided to Use Even Go Want to do Look More Like”

    They will readily cite information that was fed to them. Sometimes it is on point, sometimes not. That starts to be a bit of an ethical discussion on whether it is okay for them to paraphrase information they were fed, and without citing it as a source of the info.

    In a perfect world we should be able to expand a whole learning tree to trace back how the model pieced together each word and point of data it is citing, kind of like an advanced Wikipedia article. Then you could take the typical synopsis that the model provides and dig into it to judge for yourself if it’s accurate or not. From a research standpoint I view info you collect from a language model as a step down from a secondary source and we should be able to easily see how it gets to that info.