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[-] Tamo240@programming.dev 3 points 4 days ago

You're welcome. I think calling it the output of an 'AI model' triggers thoughts of the current generative image models, i.e. entirely fictional which is not accurate, but it is important to recognise the difference between an image and a photo.

I also by no means want to downplay the achievement that the image represents, it's an amazing result and deserves the praise. Defending criticism and confirming conclusions will always be vital parts of the scientific method.

[-] Legianus@programming.dev 1 points 4 days ago* (last edited 4 days ago)

True, ML and such fell under the umbrella term of AI before, but I feel that with most people using it mostly for LLMs (or things like diffusion models, etc.) right now, it has kinda lost that meaning to some extent...

[-] wewbull@feddit.uk 4 points 4 days ago

@Tamo240@programming.dev and yourself.

Having triggered this conversation off, I'll just congratulate you both on a quality discussion. I'll admit I used loose terminology in my original post, but that was mainly to get my point across to a general audience. The specificity you both went to is laudable.

[-] Tamo240@programming.dev 1 points 4 days ago

Thanks, being a software engineer and working in interferometry I was familiar with some of the details - enough to want to jump in when you were getting downvoted - but I will admit I only found and read the actual paper for the first time because of this thread, as I wanted to be sure on the facts!

this post was submitted on 22 Jan 2026
316 points (95.4% liked)

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