In voice interactions, latency is crucial; responses should ideally be under one second to maintain a good user experience.

Latency in voice interactions is important; if the response time is too long, it can break the illusion of a natural conversation, making it feel robotic.

Voice interaction with AI is becoming more efficient, allowing for quick corrections and adjustments during conversations.

Improving AI response speed and accuracy is crucial, and hosting models on private servers can help reduce latency and enhance performance.

The ability to prompt AI effectively is crucial, as it determines the quality of the output, which is a reflection of agency and taste in AI development.

The asynchronous nature of AI interactions can significantly improve user experience, especially when models are readily accessible.

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

In contrast, using prompt-based AI can significantly reduce development time, allowing for quicker deployment of AI solutions, with applications that used to take six months to a year to build now being developed in about a week, opening up a flood of new AI applications.

The technology behind voice AI can be used for initial interactions, with humans stepping in when necessary, thus streamlining processes and reducing manual work.