AI (Audiogon Intelligence)

I noticed my Linn turntable was making some noise yesterday so I google searched the topic in Microsoft Edge and was able to resolve. MS Edge provided an answer from copilot that was also useful.

I work in technology development for a major US financial services company. We have started to leverage copilot there as well to a limited extent initially. That particular AI app seems pretty good with knowledge in the technical domain. The information is usually accurate. I also have started to dabble with Poe app and find that very useful in general as well.

My first real job back in the 80s was in developing pattern detection and signal processing algorithms for government funded mapping systems of the day (hence my moniker). I have good familiarity with how these things work. They should definitely be capable of providing reliable answers to many questions in the electronics and high fidelity audio domains, including identifying patterns in subjective as well as objective knowledge. We live in very interesting times in this regard!

I’d invite folks to try asking your favorite AI app some hifi audio questions and sharing the answers and your thoughts on those here. 

@ghdprentice no doubt how the network is trained matters.

One thing I like about Poe for example is that when asked a question it often puts a disclaimer at teh top that its knowledge only covers up to a certain date, so for example it would likely say what it knows about Stock Market hours but qualify that it does not have recent information to base the answer on. That’s awesome! How may people are able or willing not just to tell you what they know but also exactly what they don’t know? That’s the right way to do things!

Audiogon Intelligence???

What are you really talking about. It is a lot farther away than distance to Jupiter!!

Audiogon Intelligence???  What are you really talking about. It is a lot farther away than distance to Jupiter!!

Well,  maybe a very smart computer application with access to lots of relevant data could help close the gap?  You never know!