Tamo240

joined 2 years ago
[–] Tamo240@programming.dev 1 points 4 months 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!

[–] Tamo240@programming.dev 3 points 4 months ago (3 children)

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.

[–] Tamo240@programming.dev 4 points 4 months ago (5 children)

Most of what you said is correct but there is a final step you are missing, the image is not entirely constructed from raw data. The interferometry data is sparse and the 'gaps' are filled with mathematical solutions from theoretical models, and using statistical models trained on simulation data.

Paper: https://arxiv.org/pdf/2408.10322

We recently developed PRIMO (Principal-component Interferometric Modeling; Medeiros et al. 2023a) for in- terferometric image reconstruction and used it to obtain a high-fidelity image of the M87 black hole from the 2017 EHT data (Medeiros et al. 2023b). In this approach, we decompose the image into a set of eigenimages, which the algorithm “learned” using a very large suite of black- hole images obtained from general relativistic magneto- hydrodynamic (GRMHD) simulations

[–] Tamo240@programming.dev 5 points 4 months ago (8 children)

Its not hard to find that there are legitimate academic criticism of this 'photo'. For example here. The comparison you made is not correct, more like I gave a blurry photo to an AI trained on paintings of Donald Trump and asked it to make an image of him. Even if the original image was not of Trump, the chances are the output will be because that's all the model was trained on.

This is the trouble with using this as 'proof' that the. Theory and the simulations are correct, because while that is still likely, there is a feedback loop causing confirmation bias here, especially when people refer to this image as a 'photo'.

[–] Tamo240@programming.dev 8 points 5 months ago (1 children)

Using Latin for Latin based languages has the benefit that the words feel appropriate for their effects somehow, since most people don't know Latin but would be familiar with words that have similar roots.

Translating them into alternative historical languages gives the same effect for other cultures.

[–] Tamo240@programming.dev 2 points 5 months ago

To be fair, its been like that since November

[–] Tamo240@programming.dev 3 points 5 months ago (2 children)

Reminds me of

Torpenhow Hill is a hill in Cumbria, England. Its name consists of the Old English ‘Tor’, the Welsh ‘Pen’, and the Danish ‘How’ - all of which translate to modern English as ‘Hill’. Therefore, Torpenhow Hill would translate as hill-hill-hill hill

[–] Tamo240@programming.dev 12 points 6 months ago (2 children)

Elon Musk actively hinders his companies from succeeding. People need to stop glorifying his involvement in companies he paid to have his name on.

[–] Tamo240@programming.dev 2 points 7 months ago

Too expensive these days

[–] Tamo240@programming.dev 2 points 7 months ago (1 children)

'Invest heavily in AI, and once it is smarter than us we'll ask it how to solve the climate crisis'

Morons. Or rather, they think we are morons, and are betting they'll somehow make enough money to survive so literally don't care if the planet burns.

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