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Joined 1 year ago
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Cake day: June 23rd, 2023

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  • There should be, that’s just how fiber works. If they lay a 10 Gb line in the street, they’ll probably sell a 1 Gb connection to a 100 households. (Margins depend per provider and location)

    If they give you an uncapped connection to the entire wire, you’ll DoS the rest of the neighborhood

    That’s why people are complaining “I bought 1Gb internet, but I’m only getting 100Mb!” - They oversold bandwidth in a busy area. 1Gb would probably be the max speed if everyone else was idle. If they gave everyone uncapped connections the problem would get even worse


  • I believe there are a large number of feature requests on Lemmy’s GitHub page, making it difficult for developers to prioritize what’s truly important to users.

    Github issues are annoying that way. You could solve it by closing down “issues” and using discussions instead. People can up and downvote discussions, and you can see that from the listview, unlike with issues.

    And you can have threaded conversations in discussions.





  • What benefits to “AI supremacy” are there?

    I wasn’t saying there was any, I was saying there are benefits to the race towards it.

    In the sense of - If you could pick any subject that world governments would be in a war about - “the first to the moon”, “the first nuclear” or “first hydrogen bomb”, or “the best tank” - or “the fastest stealth air-bomber”

    I think if you picked a “tech war” (AI in this case) - Practically a race of who could build the lowest nm fabs, fastest hardware, and best algorithms - at least you end up with innovations that are useful


  • For all our sakes, pray he doesn’t get it

    It doesn’t really go into why not.

    If governments are going to be pouring money into something, I’d prefer it to be in the tech industry.

    Imagine a cold-war / Oppenheimer situation where all the governments are scared that America / Russia / UAE will reach AI supremacy before {{we}} do? Instead of dumping all the moneyz into Lockheed Martin or Raytheon for better pew pew machines - we dump it into better semiconductor machinery, hardware advancements, and other stuff we need for this AI craze.

    In the end we might not have a useful AI, but at least we’ve made progression in other things that are useful


  • Well @ @TheGrandNagus and @SSUPII - I think a lot of Firefox users are power users. And a lot of the non-power Firefox users, like my friends and family, they’re only using Firefox because I recommended them to use it, and I installed all the appropriate extensions to optimize their browser experience.

    So if Firefox alienates the power users - who are left? I’m gonna move on to Waterfox or Librewolf, but they are even more next-level obscure browsers. My non-tech friends know about Chrome, Edge, and Firefox, so I can convince them to use one of those… But I kinda doubt I can get them to use Librewolf. If I tell them Firefox sucks now too, they’ll probably default to chrome


  • If AI integration is to happen […], then this to me seems to be the best way to do it.

    Well, to me the best way to do it would be for Mozilla to focus on being the best bare-bone, extendable browser.

    Then - if people want an AI in their browser - people should be able to install an AI extension that does these things. It’s a bit annoying they’re putting random stuff like Pocket, and now an AI in the core of the browser, instead of just making it an option to install extendable




  • Well I have Copilot Pro, but I was mainly talking about GitHub Copilot. I don’t think having the Copilot Pro really affects Copilot performance.

    I meanly use AI for programming, and (both for myself to program and inside building an AI-powered product) - So I don’t really know what you intend to use AI for, but outside of the context of programming, I don’t really know about their performance.

    And I think Copilot Pro just gives you Copilot inside office right? And more image generations per day? I can’t really say I’ve used that. For image generation I’m either using the OpenAI API again (DALL-E 3), or I’m using replicate (Mostly SDXL)



  • I use Copilot, but dislike it for coding. The “place a comment and Copilot will fill it in” barely works, and is mostly annoying. It works for common stuff like “// write a function to invert a string” that you’d see in demos, that are just common functions you’d otherwise copypaste from StackOverflow. But otherwise it doesn’t really understand when you want to modify something. I’ve already turned that feature off

    The chat is semi-decent, but the “it understands the entire file you have open” concept also only just works half of time, and so the other half it responds with something irrelevant because it didn’t get your question based on the code / method it didn’t receive.

    I opted to just use the OpenAI API, and I created a slack bot that I can chat with (In a slack thread it works the same as in a “ChatGPT context window”, new messages in the main window are new chat contexts) - So far that still works best for me.

    You can create specific slash-commands if you like that preface questions, like “/askcsharp” in slack would preface it with something like “You are an assistant that provides C# based answers. Use var for variables, xunit and fluentassertions for tests”

    If you want to be really fancy you can even just vectorize your codebase, store it in Pinecone or PGVector, and have an “entire codebase aware AI”

    It takes a bit of time to custom build something, but these AIs are basically tools. And a custom build tool for your specific purpose is probably going to outperform a generic version



  • What we have is machine learning, just an algorithm that takes input and gives you output. It can’t act on its own.

    Isn’t that basically what “real learning” is as well? Basically you’re born as a baby, and you take input, and eventually you can replicate it, and eventually you can “talk” for example?

    But in the training data something was off, suddenly your AI is racist and gives every black person a lesser amount.

    Same here, how is that different from “real learning”? You’re born into a racist family, in a racist village where everyone is racist. What is the end-result; you’re probably somewhat racist due to racist input - until you might unlearn that, if you’re exposed to other data that proves your racist ideas were wrong

    If a human brain is basically a big learning computer, why wouldn’t AI eventually reach singularity and emulate a brain and beyond? All the examples you mentioned of what it can’t do, is just stuff it can’t do yet


  • [From the github comment]

    The issue I see with the RFC is not wanting to allow users to add tags to ease the burden on moderators. This comes from a lack of users with privileges, so moderators are overworked and need to rely on bots.

    If the tags are just kinda “plain old hashtags” - and not something cool like I mentioned in the previous post 😉 -

    Possibly you could have a look at how Gazelle handles tags, where it’s just a voting system. For example, this is “Kanye West” https://i.imgur.com/adTe4t8.png - then tags are no longer a boolean yes/no system, but a user-voted system. And then it’s no longer a moderation concern to have to correct tags, and you don’t need “User privileges” to manage the tags either.

    It’s just a pretty chaotic system though - you might still want moderators to remove bad tags and/or ban users from creating tags if they’re always adding nonsense.

    Could be some point based system like Stackoverflow - users with n points can vote on existing tags, users with n+ points can add their own new tags