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Joined 2 years ago
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Cake day: June 12th, 2023

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  • Signal is private in that other people can’t intercept your messages, including signal. The signal app is open-source so you can be relatively certain it’s not tracking your decrypted messages, unlike closed-source apps like WhatsApp or Facebook Messenger or any other private social media.

    Signal is not anonymous from an account standpoint, because you need a phone number to sign up, even if you can choose not to display it in your account.





  • I’ve had a OnePlus 9 Pro since around when it came out in April 2021. Around 6 months later I installed AccuBattery and started trying to keep my phone between 20-80% battery. I still charge it to 100% sometimes, like when I think I won’t have access to a charger or will be out for a while, but generally I stick to it. It is also good to do a full charge (<15% to 100%) once every few weeks because it helps the battery stay calibrated and give accurate percentage readings.

    In the 3+ years since then, my phone’s reported battery health has gone from a little over 90% to ~83-85%. I also almost exclusively use the 65w fast charger that came with my phone (I’m impatient) so that might be hurting my battery a bit more also. Here’s the graph of battery health over time that AccuBattery shows me



  • Zangoose@lemmy.worldtolinuxmemes@lemmy.worldLinux and Chill
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    2 months ago

    Rust is only huge because it doesn’t have an ABI. If you had an ABI (and didn’t have to compile every single dependency into the binary) the binary sizes would probably drop a lot to the point where they’re only slightly bigger than a C counterpart

    Edit: I don’t know if Go has an ABI but they also include a runtime garbage collector in their binaries so that probably has something to do with it.






  • I’m not trying to say LLM’s haven’t gotten better on a technical level, nor am I trying to say there should have been AGI by now. I’m trying to say that from a user perspective, ChatGPT, Google Gemini, etc. are about as useful as they were when they came out (i.e. not very). Context size might have changed, but what does that actually mean for a user? ChatGPT writing is still obviously identifiable and immediately discredits my view of someone when I see it. Same with AI generated images. From experience, ChatGPT, Gemini, and all the others still hallucinate points which makes it near-useless for learning new topics since you can’t be sure what is real and what’s made up.

    Another thing I take issue with is open source models that are driven by VCs anyway. A model of an LLM might be open source, but is the LLM actually open source? IMO this is one of those things where the definitions haven’t caught up to actual usage. A set of numerical weights achieved by training on millions of pieces of involuntarily taken data based on retroactively modified terms of service doesn’t seem open source to me, even if the model itself is. And AI companies have openly admitted that they would never be able to make what they have if they had to ask for permission. When you say that “open source” LLMs have caught up, is that true, or are these the LLM-equivalent of uploading a compiled binary to GitHub and then calling that open source?

    ChatGPT still loses OpenAI hundreds of thousands of dollars per day. The only way for a user to be profitable to them is if they own the paid tier and don’t use it. The service was always venture capital hype to begin with. The same applies to Copilot and Gemini as well, and probably to companies like Perplexity as well.

    My issue with LLMs isn’t that it’s useless or immoral. It’s that it’s mostly useless and immoral, on top of causing higher emissions, making it harder to find actual results as AI-generated slop combines with SEO. They’re also normalizing collection of any and all user data for training purposes, including private data such as health tracking apps, personal emails, and direct messages. Half-baked AI features aren’t making computers better, they’re actively making computers worse.



  • My current phone has less utility than the phone I had in 2018, which had a headphone jack, SD card, IR emitter (I could use it as a TV remote!), heartrate sensor, and a decent camera.

    My current laptop is less upgradable than pretty much anything that came out in 2010. The storage uses a technically standard but uncommon drive size, and the wifi and RAM are both soldered on. It is faster and has a nicer screen, but DRMs in web browsers make it hard to take advantage of that screen, and bloated electron apps make it not feel much faster.

    Oh but here’s the catch! Now, thanks to a significant amount of stolen data being used to train some autocorrect, my computer can generate code that’s significantly worse than what I can write as a junior software dev with under a year of job experience, and takes twice as long to debug. It can also generate uncanny valley level images that look about like I typed in a one sentence prompt to get them.





  • I haven’t checked back on it since I stopped using reddit (and I no longer use a surface pro) but there was a pretty active surface Linux community there as well with some good resources. For a lot of models you’ll need a USB keyboard/mouse to actually install the distro but once you can load the custom surface linux kernel things worked pretty well for me.