Audio related AI data is not sourced from too many places. Audiogon would be a primary source along with other similar audio related online sources. There are not that many online audio sites the AI LLM models can scrape off.
For example, ChatGPT totally messed up on insisting that the Schiit Yggy DACs can be configured to work on a GeerFab D.BOB. I am assuming some Yahoo online must have posted that it worked. I tried to get it to work and spoke with the designer, and he said it would not work. That was not AI hallucination, just limited data.
AI is based on statistical probability and neural networks. Not sure I call that intelligence.
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Tomorrow, I will move the best Class D amp I have owned, the Class D GanFet 6.5 to duke it out with my CODA #16 powering my Yamaha NS5000 speakers. I think the CODA #16 will be my winner, but you never know. I will use both a RME DAC and the imersiv D-1 DAC direct to amp.
I have owned the following Class D amps:
- LSA Voyager 350 GAN (maybe modded by Ric Schultz)
- PeachTree GAN1 (modded by Ric Schultz)
- PeachTree GAN400
- D-SONIC M3a-800S
- NAD M22 V2
The 2 Ric Shultz modded amps were rather good but had weak bass. The 6.5 does not suffer from that with the Magnepan Mini speaker that likes power.
On my office Magnepan setup the CODA #16 is better. It has a bigger stage (especially depth), hits really hard, and of course the Class A smoothness that I love. The 6.5 has that smoothness but not as warm. The 6.5 hits hard but the #16 was sometimes overwhelmingly powerful in my small space. When my imersiv D-1 DAC was fully borken-in the bass on the Magnepan Mini (no subs) was too much with the CODA #16. It is a beast of an amp.
The 6.5 is not going anywhere. I think it is great in the office system, and I will hear how it is in the Livingroom tomorrow.

