• 0 Posts
  • 50 Comments
Joined 1 year ago
cake
Cake day: April 27th, 2024

help-circle


  • As a fellow Futo user: it’s not great out of the box. My biggest recommendations are:

    • under Languages and models, download all the voice models (if you use those), transformers, and wordlists you can for your languages
    • if you use multiple languages, set the check on “multilingual typing” for ALL of those languages
    • this is probably the biggest one: in text prediction -> Advanced Parameters, DRASTICALLY change the values. The original ones are 3.4 and 4.0 for LLM strength and autocorrect threshold, mine are currently set at 28.5 and 0.8, respectively. This takes the autocorrect from “occasionally working” to “as good as SwiftKey” for me.
    • Keyboard and Typing -> Long Press -> Show hints. Could not find that for ages so thought I’d add it here.

    Also, two super useful shortcuts: you can press the space-bar and move your finger around to move the pointer; and the same for backspace to fine-control what to delete.

    Hope this helps, but if not… What additional gripes do you have with it?








  • I have one big frustration with that: Your voice input has to be understood PERFECTLY by TTS.

    If you have a “To Do” list, and speak “Add cooking to my To Do list”, it will do it! But if the TTS system understood:

    • Todo
    • To-do
    • to do
    • ToDo
    • To-Do

    The system will say it couldn’t find that list. Same for the names of your lights, asking for the time,… and you have very little control over this.

    HA Voice Assistant either needs to find a PERFECT match, or you need to be running a full-blown LLM as the backend, which honestly works even worse in many ways.

    They recently added the option to use LLM as fallback only, but for most people’s hardware, that means that a big chunk of requests take a suuuuuuuper long time to get a response.

    I do not understand why there’s no option to just use the most similar command upon an imperfect matching, through something like the Levenshtein Distance.







  • Fuck Amazon, fuck Alexa.

    But that wall clock is glorious. It’s a decently look clock, but seeing how much time you have left on multiple timers with a single glance is so incredibly useful. Especially when you’re cooking.

    I’m currently in the process of migrating away from the shit Alexa ecosystem, but no matter what I end up with, I’ll have to find an alternative for this clock



  • For me personally, there is only two applications of LLMs in programming:

    • doing tasks I kinda know how to do, but don’t want to properly learn (recent example: generate pgf plots from csv data in matplotlib. 90% boilerplate, I last had to do it 3 years ago and vaguely remember some pitfalls so can steer the LLM in that direction. Will probably never again have to do this, so not worth the extra couple hours to properly learn
    • things I would ordinarily write a script for, but aren’t worth automating because they won’t come up in the future again (example: convert this Lua table to a Nix set)

    Essentially, one-off things that you know how to check for correctness.