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This is going to be big business I think. I have probably sent hundreds of thousands of emails, texts, chats, etc. It would be well within the realm of possibil
by ryandvm 2y ago
This is going to be big business I think. I have probably sent hundreds of thousands of emails, texts, chats, etc. It would be well within the realm of possibility to train an LLM on a loved ones communications corpus and allow you to chat with "them" after they're gone.
Possible? Yes. Convincing results? Probably. Good idea? I doubt it.
- mipmap04 2y agoOh man, I did this with my dad's voice after he died and set up a thing where I could talk with an LLM-backed assistant and have it respond in his voice and mannerisms. It was a very weird coping and grief period and I ultimately hit a point where I got really weirded out about what I was doing.
- slig 2y agoI remember seeing it here on HN that someone did that with a group chat and it would reply as each friend.
- knicholes 2y agoThis is exactly what I'd want to do for my "smart urn."
- mystified5016 2y agoForget an urn, I want my digital ghost to haunt a furby.
- TeMPOraL 2y agoCode golf task: implement the whole pipeline above in minimum amount of (existing as of now) ComfyUI nodes. Extra challenge: extend that to produce videos (e.g. via "live portrait" nodes/models), to implement the digital version of the magic paintings (and newspaper photos) from Harry Potter. EDIT: I'm not joking. This feels like a weekend challenge today; "live portraits" in particular work fast today on a half-decent consumer GPU, like my RTX 4070 Ti (the old one, not Super), and I believe (but haven't tested yet) even training a LoRA from a couple dozen images is reasonably doable locally too. In general, my experience with Stable Diffusion and ComfyUI is that, for fully local scenario on normal person's hardware (i.e. not someone's totally normal PC that happens to have eight 30xx GPUs in a cluster), the capabilities and speed are light years ahead of LLM space. Just for comparison, yesterday I - like half the techies on the planet - got to run me some local DeepSeek-R1. The 1.58 bit dynamic quant topped at 0.16 tokens per second. It's about the same as it takes a SD1.5 derivative to generate me a decent-looking HD image. I could probably get them running parallel in lock-step (SD on GPU, compute-bound; DeepSeek on CPU, RAM-bandwidth bound) and get one image per LLM token.
- czue 2y agoCan you explain more about comfy ui? I heard it could work for running inference locally, but I couldn't get it running because I don't have Nvidia GPUs. Does it only work if you still have those?
- TeMPOraL 2y agohttps://github.com/comfyanonymous/ComfyUI https://github.com/comfyanonymous/ComfyUI I only use it on Windows with Nvidia GPU, but it should work both on Windows and Linux with CPU only and with Intel GPUs, as well as on Linux only with AMD. Though skimming the README some more, I also see Apple Silicon section, and one called "DirectML (AMD Cards on Windows)", so maybe AMD+Win works too. As for use: you install ComfyUI from the link above, and then this: https://github.com/ltdrdata/ComfyUI-Manager https://github.com/ltdrdata/ComfyUI-Manager to have UI for searching and downloading custom nodes (instead of having to install them by hand), and you're good to go.
- swyx 2y agohttps://www.latent.space/p/comfyui https://www.latent.space/p/comfyui
- portaouflop 2y agoI think that was 1:1 a black mirror episode
- PaulDavisThe1st 2y agoEpisode title was "Be right back"
- deleted 2y ago[deleted]
- waspleg 2y agoLiterally a Black Mirror episode.
- oskarkk 2y agoThis reminds me of paintings in Harry Potter.
- numpad0 2y agoIs it going to be good for your sanity? I very much doubt it.