Tony Gondola · Apr 22, 2026 at 05:05 PM
I really think this is a much better use of AI in astrophotography as apposed to trying to have it do your processing for you as some on the bin have suggested.
I think I can agree with you. Processing is something really personal. Different people can create different pictures from an identical set of raw data. The result of processing can carry the signature of an astrophotographer. So despite I am a big supporter of AI, I will never hand the processing part to AI. If I let AI do the processing for me, the result would be someone else’s picture, not mine. Even if AI can learn my processing style perfectly, it’s just an excellent student of mine. Its result is still not my result.
That being said, I wouldn’t mind letting AI do the routine and standard part of processing, like calibration, registration, and stacking. Beyond that, I will not allow AI to take away the fun from me.
Jerry Gerber · Apr 22, 2026 at 05:45 PM
A lot of what gives people enjoyment/purpose/meaning is in the making of decisions. I’m currently writing my 14th symphony. Writing such a piece of music requires thousands of decisions, in fact the whole point of doing such an endeavor is the pleasure, challenge and meaning of making the countless decisions that go into the construction of a piece of music. Handing over decision-making to AI seems absolutely pointless, I might as well ask AI to live my life for me, eat for me and hold conversations for me.
I see the value of AI in many fields, no doubt , particularly medicine and materials science. I just watched a video of a ping pong expert playing a new machine made by Sony called “Ace”, and it proved to be a very worthy opponent. Imagine the AI, coding, sensors, robotics and knowledge that went into building a robot ping pong player that could react as quickly as a human. Pretty impressive.
Maybe I’ll get around to asking AI to pick a target for me when I am done working on my current image. That’s about it. I enjoy all the other steps of setting up the NINA sequence, determining filters and filter order and working around moonlight, and much enjoy the processing and post-processing aspects.
I get your point and I am sort of like you. But I think AI is not (or soon to be not) as simple as that.
In principle, you can still be the one who makes decisions. It’s just that you teach AI how you make decisions, and AI do it on your behalf when the situation arises. It’s not like telling AI “take a picture of M42 for me.” It’s more like telling it how you would “determining filters and filter order and working around moonlight” and ask it to follow your style, so the end result will be identical to what you would have achieved by yourself, without the human error part. I don’t know about you, but I welcome that.
Arun H · Apr 22, 2026 at 07:53 PM
These problems have largely been solved. For example, Gemini (and I assume Claude) when used in an enterprise environment can have walls built around it so proprietary data is not used to train models. Similarly, I cannot ask my AI to give me access to someone’s personnel file or performance review data (while someone in HR probably could). I would think the same principles could be used to wall off sections of your network.
I do think that’s solvable. It’s just when a good implementation will actually appear for astrophotography. I hope it will be soon.