this post was submitted on 09 Jan 2025
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Yeah, transcription is one of the only good uses for LLMs imo. Of course they can still produce nonsense, but bad subtitles are better none at all.
Just an important note, speech to text models aren't LLMs, which are literally "conversational" or "text generation from other text" models. Things like https://github.com/openai/whisper are their own, separate types of models, specifically for transcription.
That being said, I totally agree, accessibility is an objectively good use for "AI"
That's not what LLMs are, but it's a marketing buzzword in the end I guess. What you linked is a transformer based sequence-to-sequence model, exactly the same principal as ChatGPT and all the others.
I wouldn't say it is a good use of AI, more like one of the few barely acceptable ones. Can we accept lies and hallucinations just because the alternative is nothing at all? And how much energy/CO2 emissions should we be willing to waste on this?