| ▲ | cyanydeez 11 hours ago |
| Can't be just a SaaSpocolypse. LLMs with the right harness could obliterate much of the TODO+ apps with a general assistant. But it's more likely it's just walled garden + security theatre that'll keep them from allowing outside apps. |
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| ▲ | varispeed 10 hours ago | parent [-] |
| Wouldn't trust AI to run TODO, especially weak models. They can hallucinate tasks, forget to remind etc. |
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| ▲ | tapvt 10 hours ago | parent [-] | | 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 9 hours ago | parent [-] | | And the end results is.....? What? A todo app that takes 16GB of RAM? | | |
| ▲ | bigyabai 8 hours ago | parent [-] | | Nothing that Mac and Windows users aren't already used to. | | |
| ▲ | Forgeties79 7 hours ago | parent [-] | | It’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 5 hours ago | parent [-] | | > 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 4 hours ago | parent [-] | | LinkedIn 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 2 hours ago | parent [-] | | Finally, we've fully documented the Singularity-is-actually-just-bloated software. |
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