use of ChatGPT for HIFI


I have been using this really cool AI tool to evaluate System issues and gear comparisons and I’m blown away by its ability to do this. And it’s freaking free for my needs at this point

I provided details of all the components in my system and it remembers it in its memory and refers to the strengths and weaknesses of my system when choosing new gear to be integrated.  It creates a history of all that’s been discussed and is able to integrate it better than anyone can.  I can easily update it for gear that I’ve left out.

The ability to retrieve really good details about components is astounding. It suggests and provides tailored charts comparing component strengths and weaknesses. Additionally it offers ideas on additional things to consider. 

The depth of what it’s able to do is simply astounding.

What are your experiences in using this groundbreaking tool?

 

emergingsoul

The problem with A.I. is like with audio reviewers and sellers...

Oligarchs sells it as a mere neutral "tool"...

It is not false, half truth are more destructive than blatant lies...

We are in truth first and last the tools of A.I. , this observation is put aside and off view by the sellers of A.I.

Like audio reviewers insisting that this piece of gear is the solution (as A.I. is the solution) instead of the truth : you must train your hearing in a controlled acoustics  context to understand sound...(you must develop your mind and not trust A.I. to think and write for you )

I am as we speak currently developing an organic intelligence called Fartificial Intelligence. For more of that Gut Instinct.

For example it described our class D amps as zero feedback, which they are not

It also said that my Nakamichi CA-7A  pre-amp was designed by Nelson Pass.... no it's not.

Abstract

Generative artificial intelligence (AI) has evolved rapidly, sparking debates about its impact on the visual and sonic arts. Despite its growing integration into creative industries, public opinion remains sceptical, viewing creativity as uniquely human. In music production, AI tools are advancing, yet emotional expression remains largely overlooked in development and research. This study examined whether AI-powered music creation can evoke the same emotional impact as human-created music in audiovisual contexts. Participants (N = 88) watched videos accompanied by different audio tracks across three conditions: human-created music (HCM), AI-generated music using more sophisticated and detailed keyword prompts (AI-KP) and AI-generated music using simpler and less detailed prompts based on discrete and dimensional emotional values (AI-DP). Biometric data and personal affective responses were registered during this process. The results show that both AI soundtracks led to wider pupil dilation compared with human-created music but did not differ significantly from each other. AI-generated music with sophisticated prompts (AI-KP) resulted in a higher blink rate and skin impedance level as markers of attention and cognitive load, while emotional valence remained consistent across conditions. Participants found AI-generated music more arousing that HCM, while HCM was perceived as more familiar than both AI conditions.

 

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0326498