DAC Comparisons using AI


After a couple of years trying different DACs in my system, I ended up with the Aries Cerat Helene (R2R) and the SMc Audio DAC-2 (delta-sigma) in my main system.  

I have been considering other options, and decided to use AI to help me imagine the possibilities.  I have found it actually works pretty well if you are able to specifically address what you are looking for. Anyone else here believe you are getting helpful answers by using AI when considering a purchase?

I have been asking specific questions like:

  • What sonic difference would be achieved by upgrading the Aries Cerat Helene to the Kassandra Reference II?
  • Might someone who enjoys the sound of the Aries Cerat Helene find the EMM Labs DV2i to sound fatiguing?
  • Compare the sonic signatures between the Aries Cerat Helene, MSB Technology Premier, and Totaldac D-1 Triunity.

I have not yet encountered answers I would consider total BS, and using AI has sort of bridged the gap between different industry reviews, like when you finish reading a review and wish, if only the reviewer had compared X to Y.

 

mitch2

I use both charGPT & Google Gemini off their apps. ChatGPT was the leader from an audio standpoint, but Gemini is now it’s equal. They are certainly not infallible, & I check results against my own research & each other. When they do agree, I pursue further. Great for obscure information. Fun, interesting & recommended. 

Use common sense and distill the information you get when using AI. It’s not a substitute for listening. It’s a tool to supplement your research. 
Those betting too much on AI for anything , including comparing audio components - good luck! 

@mike_in_nc   + 1

 

I wouldn’t dream of using AI to guide an audio, or any aesthetic decision.  It could be useful for generating a quick summary of what is available, what features the possess, pricing and vendors, etc

OP, in my opinion, the key issue isn't AI involvement but the questions themselves. Sonic comparisons are system-dependent variables: amplification, speakers, room acoustics, cables, and listener perception and taste all affect the outcome. If you don't specify those parameters, the AI can only synthesize reviewers' and posters' generalizations. And it will do it confidently with attractive descriptions.

But in all of that word salad, it will be unlikely to flag whether your questions are missing critical information. That's a characteristic AI limitation.

So...why not try asking AI an additional question to the one you're posing – 

"Gemini, before answering, identify what information about my system and listening context is missing from this question that would be necessary to give me a more accurate and personalized response."

That kind of metacognitive prompt turns AI into an interlocutor rather than an oracle. It forces it to reveal its own assumptions before generating what might otherwise be a fluent but under-specific answer.