I spent a lot of time working on the product side in the Voice UI space, and therefore have a lot of opinions. I could totally end up with a wrong prediction, and my history may make me blind to changes, but I think a chat assistant is a great addition to a rich GUI for simple tasks.
> I think we'll move into a situation where the AI will have the context to know what you will want to purchase
My partner who lives in the same house as me can't figure out when we need toilet paper. I'm not holding my breath for an AI model that would need a massive and invasive amount of data to learn and keep up.
Also, Alexa tried to solve this on a smaller scale with the "by the way..." injections and it's extremely annoying.
Thank about how many people use Alexa for basically timers and the weather and smart home. They're all tasks that are "one click" once you get in the GUI, and have no lists and minimal decisions... Timer: 10 min, weather: my house, bedroom light: off. These are cases where the UI necessarily embeds the critical action, and a user knows the full request state.
This is great for voice, because it allows the user to bypass the UI and get to the action. I used to work on a voice assistant and lists were the single worst thing we had to deal with because a customer has to go through the entire selection. ChatGPT has a completely different use case, where it's great for exploring a concept since the LLM can generate endlessly.
I think generative info assistants truly is the sweet spot for LLMs and chat.
> in the sense that AI platforms will revenue share with the platforms they integrate with to create a mutually beneficial relationship with the suppliers of content.
Like Google does with search results? (they don't)
Realistically, Alexa, Google Assistant, and Siri all failed to build out these relationships beyond apps. Companies like to simply sell their attention for ads, and taking a handout from the integrator requires either less money, or an expensive chat interface.
Most brands seem to want to monetize their own way, in control of themselves, and don't want to be a simple API.
> I think we'll move into a situation where the AI will have the context to know what you will want to purchase
My partner who lives in the same house as me can't figure out when we need toilet paper. I'm not holding my breath for an AI model that would need a massive and invasive amount of data to learn and keep up.
Also, Alexa tried to solve this on a smaller scale with the "by the way..." injections and it's extremely annoying. Thank about how many people use Alexa for basically timers and the weather and smart home. They're all tasks that are "one click" once you get in the GUI, and have no lists and minimal decisions... Timer: 10 min, weather: my house, bedroom light: off. These are cases where the UI necessarily embeds the critical action, and a user knows the full request state.
This is great for voice, because it allows the user to bypass the UI and get to the action. I used to work on a voice assistant and lists were the single worst thing we had to deal with because a customer has to go through the entire selection. ChatGPT has a completely different use case, where it's great for exploring a concept since the LLM can generate endlessly.
I think generative info assistants truly is the sweet spot for LLMs and chat.
> in the sense that AI platforms will revenue share with the platforms they integrate with to create a mutually beneficial relationship with the suppliers of content.
Like Google does with search results? (they don't)
Realistically, Alexa, Google Assistant, and Siri all failed to build out these relationships beyond apps. Companies like to simply sell their attention for ads, and taking a handout from the integrator requires either less money, or an expensive chat interface.
Most brands seem to want to monetize their own way, in control of themselves, and don't want to be a simple API.