Yes, being able to voice chat with AI is interesting, and we can already do that (e.g., using voice-to-text).

> AI will improve to infer more meaning from what users want

This is true. It already knows what it should do when I give it a piece of code and say "" (the bug emoji) or "spot the bug". If you give it the error code, it already knows it has to find a solution.

But for non-programming tasks, it'll be a challenge to infer what the user wants because language is vague and people are used to speaking ambiguously and clarifying only when the other person doesn't understand.

I don’t mean to be mean but this is an example of what bugs me about the AI hype cycle.

Person has a valid criticism, the answer is a vague, wishy washy “it’ll improve and be able to provide all things to all people in exactly the way they need it”

I don’t know what I’m supposed to do with that statement. What are the concrete steps from here to there? What’s the timeline?

There's nothing he says that isn't already here though. Bing, Bard all have voice input. and even the technology for more native speech abilities (so not just STT) is already here - https://google-research.github.io/seanet/audiopalm/examples/

They're already able to infer a great deal from context. They will improve simply because we've not hit any scaling walls yet.

Looking at the difference from GPT-3.5 to GPT-4, you can see these features are already appearing. GPT-4 can do more, understand more types of data, infer more context, and craft more advanced responses. With the right prompting, it can even ask clarifying questions to handle ambiguity. Most of the time when people talk about the limitations of AI, they're talking about limitations that are _very_ close to being improved upon. Context windows are a weakness, but they're growing, and memory features are being developed. Intelligence is improving. Understood data types are expanding. My guess is that GPT-5 (and equivalents) will understand voice natively, instead of needing a speech to text model in the middle.

There are absolutely serious limitations to existing AI, but the criticisms mentioned here aren't where we're stuck.