They support Claude, ChatGPT, Gemini, HuggingChat, and Mistral.

  • nu11English
    487·
    2 months ago

    I don’t understand the hate. It’s just a sidebar for the supported LLMs. Maybe I’m misunderstanding?

    Yes, I would prefer Mozilla focus on the browser, but to me, this seems like it was done in an afternoon.

    • PrefersAwkward@lemmy.worldEnglish
      112·
      2 months ago

      It seems like common cynicism. Mozilla adds this feature, as not to yield major features to other browsers. Mozilla’s lets you natively have lots of different AI solutions to pick from.

      Not every feature is for everyone. Not every feature is done being improved on at release.

      And in spite of popular opinions, organizations don’t do just one thing and then do just the next thing and the thing after that. Organizations can and do focus on and prioritize many things at the same time.

      And for people who are naysaying AI at every mention, it has a lot of great and fascinating uses, and if you think otherwise, you really should try them more. I’ve used it plenty for work and life. It’s not going away, might as well do some nice things with it.

    • Scrollone@feddit.it
      106·
      2 months ago

      I want my browser to be a browser. I don’t want Pocket, I don’t want AI, I don’t want bullshit. There are plugins for that.

          • ToxicWaste@lemm.ee
            11·
            2 months ago

            i know it is an unpopular opinion around here. but currently AI features open doors for sales. that is important.

            for the software i help develop, we introduced an optional AI integration. just its presence allowed us to sell the main SW multiple times. the AI plugin was never sold so far.

            investment AI: 2 weeks of gluecode. i am not concerned with finances, but that plugin is for sure net positive.

  • JokeDeity@lemm.ee
    382·
    2 months ago

    Unpopular opinion, I think they’re doing it right as well as it can be at least. It’s completely optional and doesn’t seem to be intrusive.

  • ocassionallyaduck@lemmy.world
    341·
    2 months ago

    Thing is, for your average user with no GPU and whp never thinks about RAM, running a local LLM is intimidating. But it shouldn’t be. Any system with an integrated GPU, and the more RAM the better, can run simple models locally.

    The not so dirty secret is that ChatGPT 3 vs 4 isn’t that big a difference, and neither are leaps and bounds ahead of the publically available models for about 99% of tasks. For that 1% people will ooh and aah over it, but 99% of use cases are only seeing marginal gains on 4o.

    And the simplified models that run “only” 95% as well? They can use 90% fewer resources give pretty much identical answers outside of hyperspecific use cases.

    Running a a “smol” model as some are called, gets you all the bang for none of the buck, and your data stays on your system and never leaves.

    I’ve been yelling from the rooftops to some stupid corporate types that once the model is trained, it’s trained. Unless you are training models yourself, there is no need for the massive AI clusters, just for the model. Run it local on your hardware at a fraction of the cost.

    • ilhamagh@lemmy.world
      4·
      2 months ago

      Can you point me to some resources to running smol llm?

      My use case prob just to help “typing” miscellaneous idea I have or check for my grammatical error, in english.

      Thanks, in advance.

    • Lojcs@lemm.ee
      31·
      2 months ago

      Last time I tried using a local llm (about a year ago) it generated only a couple words per second and the answers were barely relevant. Also I don’t see how a local llm can fulfill the glorified search engine role that people use llms for.

      • ocassionallyaduck@lemmy.world
        4·
        2 months ago

        Try again. Simplified models take the large ones and pare them down in terms of memory requirements, and can be run off the CPU even. The “smol” model I mentioned is real, and hyperfast.

        Llama 3.2 is pretty solid as well.

        • Lojcs@lemm.ee
          3·
          2 months ago

          These are the answers they gave the first time.

          Qwencoder is persistent after 6 rerolls.

          Anyways, how do I make these use my gpu? ollama logs say the model will fit into vram / offloaing all layers but gpu usage doesn’t change and cpu gets the load. And regardless of the model size vram usage never changes and ram only goes up by couple hundred megabytes. Any advice? (Linux / Nvidia) Edit: it didn’t have cuda enabled apparently, fixed now

          • ocassionallyaduck@lemmy.world
            5·
            2 months ago

            Nice.

            Yea I don’t trust any AI models for facts, period. They all just lie. Confidently. The smol model there at least tried and got it right at first… Before confusing the sentence context.

            Qwen is a good model too. But if you wanted something to run home automation or do text summaroes, smol is solid enough. I’m using CPU so it’s good enough.

      • TheDorkfromYork@lemm.eeEnglish
        2·
        2 months ago

        They’re fast and high quality now. ChatGPT is the best, but local llms are great, even with 10gb of vram.

  • fibojoly
    293·
    2 months ago

    Didn’t want it in Opera, don’t want it in Firefox. I mean they can keep trying and I’ll just keep on ignoring this shit :/

  • Eiri@lemmy.ca
    22·
    2 months ago

    I wish I had telemetry on such features.

    I really doubt a significant number of people use AI chatbots often enough that having it in a dedicated sidebar is worth it.

    • treadful@lemmy.zipEnglish
      2·
      2 months ago

      I’ve never had the urge to use a chat bot personally, but I’m pretty sure I’m in the minority. Lots of people use these things all the time for so much stuff we probably wouldn’t even consider.

      I’ve worked with a few people that all but rely on these things to produce any creative work they have to do.

      Maybe we run in different circles but I think a lot of people don’t even talk about how they’re using it.

  • ohwhatfollyisman@lemmy.world
    13·
    2 months ago

    as someone who’s never dabbled with ai bots, what does this feature do? is it only to query for information like a web search?

    • Furball
      14·
      2 months ago

      It just adds ChatGPT or similar to your sidebar. Chatbots can do a lot of things, they are mostly good for information research and technical help, although they have serious flaws like hallucinating false information sometimes

      • Pup Biru@aussie.zoneEnglish
        2·
        2 months ago

        good for information research and technical help

        i’d say they are good precursors for information research… never trust them, but use them to find terms to search for reliable sources

    • Ephera@lemmy.mlEnglish
      5·
      2 months ago

      From the description in the UI, it does sound like it. Theoretically, a chatbot could be created where you can ask questions about the webpage you have currently opened, so if you don’t want to read a long article, for example. I guess, you could probably just throw a link into an existing chatbot either way, but yeah, direct integration might be convenient either way.

      Well, or a chatbot could be created, which has access to your browser history, bookmarks and tabs, so you can ask it when you last saw certain information. However, you’d need a locally running chatbot for that, which makes it more difficult to implement.

  • marcie (she/her)@lemmy.ml
    185·
    2 months ago

    why a fucking chatbot? translate a page better for me you fucking losers, all the translation options suck for privacy outside of specifically trained local AIs. this is the BEST use case for a small local LLM yet mozilla with all its brains and resources couldnt rub two neurons together for this.

    or they could do character prediction on your typing to make typing faster. just some legit examples, why waste resources to build a chat ai into my browser when i can just open a website???

    • 1rre@discuss.tchncs.de
      10·
      2 months ago

      I think Mistral is model-available (ie I’m not sure if they release training data/code but they do release model shape and weights), huggingchat definitely is open source and model-available