7 ms·
LLMs are stateless. But given an actual database of task-shaped items and some work, I could see the potential. With a canonical source of truth, and set input
by tapvt 5mo ago
LLMs are stateless. But given an actual database of task-shaped items and some work, I could see the potential.
With a canonical source of truth, and set input/output expectations, the potential blast radius is quite small.
- wpm 5mo agoAnd the end results is.....? What? A todo app that takes 16GB of RAM?
- bigyabai 5mo agoNothing that Mac and Windows users aren't already used to.
- Forgeties79 5mo agoIt’s tempting to be flippant about MacOS/windows but in all seriousness, the resources required for an LLM to do the job of a typical lighter weight app/software is a serious consideration. No amount of bloat matches what an LLM needs.
- bigyabai 5mo ago> No amount of bloat matches what an LLM needs. I don't think that's necessarily true. For instance, LinkedIn uses more memory than Gemma E2B inference does.
- Forgeties79 5mo agoLinkedIn is an entirely different category and an extreme case at that. We’re not talking about LLM’s replacing LinkedIn either. It’s an entirely different comparison/discussion.
- cyanydeez 5mo agoFinally, we've fully documented the Singularity-is-actually-just-bloated software.