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Wouldn't trust AI to run TODO, especially weak models. They can hallucinate tasks, forget to remind etc.
by varispeed 6mo ago
Wouldn't trust AI to run TODO, especially weak models. They can hallucinate tasks, forget to remind etc.
- tapvt 6mo agoLLMs 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 6mo agoAnd the end results is.....? What? A todo app that takes 16GB of RAM?
- bigyabai 6mo agoNothing that Mac and Windows users aren't already used to.
- Forgeties79 6mo 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 6mo 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 6mo 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 6mo agoFinally, we've fully documented the Singularity-is-actually-just-bloated software.