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I feel like all of this is very solvable with current generation AI. I can ask chatGPT right now "What would you do if asked to make a stop at a gas station on

I feel like all of this is very solvable with current generation AI. I can ask chatGPT right now "What would you do if asked to make a stop at a gas station on the current navigation route" and it gives a sensible answer (in this case "i can't add a stop to your navigation"). So it's clearly possible for modern AI to work with this sort of context. They just need to integrate modern AI with voice assistants and add appropriate application hooks the AI can act upon everywhere asap. This also makes layoffs in voice chat departments stupid. They are on the verge of a revolution. Everything stated here as a weakness of voice assistants is about to be solved.

globalise83 3y ago
But to make a decent voice-driven assistant using Chat GPT, Whisper etc., you need a team of about 10 engineers, hence the downsizing.
- AnotherGoodName 3y ago
  I think there's still a huge amount of work to go through the codebase and add appropriate (and safe) hooks for the AI to act upon. That means a complete pivot in what the staff work on but i don't think layoffs make sense as since there's an urgent need to pivot to be first in this space. The context recognition is there sure. But teams working on old models of context recognition (more hardcoded methods) are still engineers and there's a need to throw engineers at this to be first. Imagine saying in winter "Make my living room feel like a summer beach party" leading to blinds up + lights on with yellow hue + heat + ambient beach music turning on. That needs hooks into every first and third party home automation system. It needs the ability to choose specific genres of music on a playlist. etc. There's so much work to do and it needs to be done before the competitors. Firing engineers, even when they would need to pivot to achieve this doesn't make sense to me as this is one of those winner takes all technology races. You really really want to be the first to set the standard for how third parties integrate these hooks. It's an iPhone moment in the making and Amazon is firing staff.

globalise83 3y ago

But to make a decent voice-driven assistant using Chat GPT, Whisper etc., you need a team of about 10 engineers, hence the downsizing.

AnotherGoodName 3y ago
I think there's still a huge amount of work to go through the codebase and add appropriate (and safe) hooks for the AI to act upon. That means a complete pivot in what the staff work on but i don't think layoffs make sense as since there's an urgent need to pivot to be first in this space. The context recognition is there sure. But teams working on old models of context recognition (more hardcoded methods) are still engineers and there's a need to throw engineers at this to be first. Imagine saying in winter "Make my living room feel like a summer beach party" leading to blinds up + lights on with yellow hue + heat + ambient beach music turning on. That needs hooks into every first and third party home automation system. It needs the ability to choose specific genres of music on a playlist. etc. There's so much work to do and it needs to be done before the competitors. Firing engineers, even when they would need to pivot to achieve this doesn't make sense to me as this is one of those winner takes all technology races. You really really want to be the first to set the standard for how third parties integrate these hooks. It's an iPhone moment in the making and Amazon is firing staff.