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Asklemmy @lemmy.ml
jonuno @lemmy.ml

What is the device you want, but that does not exist?

I would love the child of a Surfacebook with a Framework laptop; or A bare keyboard attached to a screen, that I could plug my phone (possibly running Phosh) and use it as a hardware for a laptop experience

514 comments

  • I want a mid-range phone with a great camera and a telephoto lens.

    I don't need no AI bullshit, I don't do gaming, I don't need 32 gigs of ram on a phone.

    I just wanna take great pictures.

  • I’d like a digital personal assistant actually designed to help me keep track of my day to day stuff, rather than one designed to steal and sell all my information.

  • A brain implant that I can store a short memo in. I have a very bad working memory so it would be incredible to somehow store lists/numbers longer than 4 items in my head without hacking it by whispering the list to myself over and over.

    • Open source motherboards
    • Open source modems for computers and phones
    • Open source cars
    • GrapheneOS phone with enough RAM to run a decent offline LLM
    • Offline AI privacy/network manager designed to white noise the stalkerware standards of the shitternet with a one click setup
    • Real AI hardware designed for tensor math using standard DIMM system memory with many slots and busses in parallel instead of bleeding edge monolithic GPU stuff targeting a broad market. The bottle neck in the CPU structure is the L2 to L1 cache bus width and transfer rate with massive tensor tables that all need to run at one time. System memory is great for its size but its size is only possible because of the memory controller that swaps out a relatively small chunk that is actually visible to the CPU. This is opposed to a GPU where there is no memory controller and the memory size is directly tied to the compute hardware. This is the key difference we need to replicate. We need is a bunch of small system memory sticks where the chunk normally visible to the CPU is all that is used and a bunch of these sticks on their own busses running to the compute hardware. Then older, super cheap system memory could be paired with ultra cheap trailing edge compute hardware to make cheaper AI that could run larger models, (at the cost of more power consumption). Currently larger than 24GBV GPUs are pretty much unobtainium, like an A6000 at 48GBV will set you back at least $4k. I want to run a 70B or greater. That would need ~140GBV to run super fast on dedicated optimised hardware. There is already an open source offline 180B model, and that would need ~360GBV for near instantaneous response. While super speeds with these large models is not needed for basic LLM prompting, it makes a big difference with agents where the model needs to do a bunch of stuff seamlessly while still appearing to work in realtime conversationally.

  • Privacy-respecting thought-controlled AR+VR smart contact lenses that correct my eyesight, block out UV, can somehow project sound into my brain, overlay people's names and basic info when I see them and don't remember (or make me remember thanks to the brain interface), and let me browse the internet and work on stuff without using my hands because RSI :(

  • Are bionic spines a thing already? Cause I'd really love it if those could be easily available for all of us with chronic back pain. Hell, even not just chronic - any bs back pain.

    Edit: I see now that it has been researched, at least. Here's an article about building a bionic spine but why don't I have something like this at the pharmacy?

    Edit 2: I accidentally a word

  • Futurama styled arm brace smart phones. My phone is always with me and smart watches are kinda really lame. An arm brace with a touch screen I can pull off and use would be awesome.

514 comments