u/RecentConference8060

I'm wondering, since while I can agree with the resource, sustainability and environmental impact factors surrounding AI use, might it fair to say there aren't really many issues with using it to transcribe in the same language you're already using to communicate ?.

For instance when there are instances when I feel inconvenienced to type out something I'd mean to say off the cuff which might be variably lengthy I'll speak into Euria or ChatGPT, copy and paste what it transcribes and send it the person or persons I mean to send it to, to whom they can expect the variable informality which comes with not editing too much (like family members in a text group chat).

This seems to be an understated use for chat AIs even if transcription specific apps are peddled about etc and..surely, it doesn't use energy the same way as resultant feedback from a chat AI does, does it ?.

Interesting thing I noticed. The gap between what technical and non-technical people get from AI is huge now.

Non-technical users still treat LLMs as a better search tool. Most non-technical people I know are not even aware of things like thinking effort or that you can choose a model.

Computer use, plugins, automations, skills, agents - none of this exists for regular ChatGPT users. If you don't know what Codex or Claude Code is, nothing has changed for you in the last year.

All new models also seem to focus purely on coding.

Am I missing something?