Comment by Aurornis

> People can tolerate missing words surprisingly well. If a phrase is slightly clipped, masked by noise, or dropped, the listener can often infer it from context. That happens constantly in real speech.

LLMs are surprisingly good at this, too.

This entire blog post is based on assumptions that

1) WebRTC garbling is common

2) LLMs fall apart if there are any audio glitches

I would bet money that OpenAI explored and has statistics on both of those and how it impacts service. More than this blogger heaping snark upon snark to avoid having a realistic conversation about pros and cons