I use AI regularly now. I've used it for many things. It even correctly helped trouble shoot my recent streaming problem, electrical projects, dishwasher repair, etc...
Had a boat bilge pump problem. It not only diagnosed the problem correctly but supplied pictures and part numbers and where to order the parts. Amazing really.
BTW... I use it to search new music and similar artists. Far better than the search from Qobuz.
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How smart an AI appears also depends on how the question is asked. If the right question is asked, the AI will provide more comprehensive responses, such as explaining the types of EQ and the issues they introduce or result in.
Broadly speaking, there are two main types of EQ in audio:
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Minimum-phase EQ (most analog and digital EQs)
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Changes both amplitude and phase, but it does not create pre-ringing.
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Boosts and cuts at certain frequencies introduce phase shift around those frequencies.
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This is the “normal” EQ behavior you see in most hardware and software.
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Any ringing or resonance happens only after the transient (post-ringing), which is how natural acoustic systems behave.
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That’s why minimum-phase often sounds more “natural,” even though it alters phase.
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Linear-phase EQ
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Changes amplitude but keeps phase response flat (no phase shift).
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Achieved through digital signal processing (uses FIR filters).
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Keeps phase flat, but to do that, it uses long FIR filters that are symmetric in time.
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This symmetry causes pre-ringing (an artificial echo before the transient) and post-ringing.
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Pre-ringing can make sharp attacks (like drums, piano, or plucked strings) sound smeared or unnatural, though in gentle EQ moves it’s often inaudible.
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Useful in mixing/mastering when you want to avoid phase smearing (e.g., for parallel processing), but it introduces latency and sometimes pre-ringing artifacts.
👉 In short:
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Minimum-phase = phase shift, no pre-ringing.
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Linear-phase = no phase shift, but can have pre/post-ringing.
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I asked AI a question about my desktop amp; got different answers if I used my phone vs computer - it was the ask on computer answer that was correct. Just asked some basic/factual questions about new integrated while it was being shipped - both answers totally wrong...so I simply don’t trust it - hard to know when it is very wrong...
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AI is just as smart as the material it is referencing. I have found to follow up on the data links in order to see how the conclusion was reached. As we all know, there is a bunch 'junk' on the internet, and AI does not filter it unless you purposefully remove the data from the response. I have received significantly different AI recommendations once poor (or good) sources are removed from consideration.
It is kind of like history text books. Those from the 50's are much different from the 70's, 90's, and even today.
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True. Good points. It DOES do well researching complex queries
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