The AI part: "They used an off-the-shelf algorithm called XGBoost, and trained it using high-quality spectral data from other surveys."
I imagine a funnier way, like an onion article where the astronomers just make pictures of galaxies with Midjourney V5 text-to-image, and their scientific discourse is arguing about prompts.
Well, if by off-the-shelf they mean kaggle winning open source ML library that's been around for like 10 years. This is the original goal of ML techniques applied to data though, not a meme prank. The magnification of higher quality output data from noisy input data in this example actually does make me wonder if we're not all that smart after all.
2 comments
[ 3.6 ms ] story [ 17.4 ms ] threadI imagine a funnier way, like an onion article where the astronomers just make pictures of galaxies with Midjourney V5 text-to-image, and their scientific discourse is arguing about prompts.