Lets say hypothetical, if someone were to have come up with a novel compression algorithm but has no prior programming knowledge. What would be the easiest way to create a compression program?

Is it true that many physicists think they're qualified to talk about topics unrelated to physics?

does anyone else end up doing all the fucking work when put into groups/teams/projects/etc?

Why are people continuing to decline that covid originated in a lab and insist on a zoonotic origin? I don't know where /sci/ stands on this but the evidence is overwhelming. Thoughts?
(No /pol/ content just focused on the /sci/ take on covid's origins)

Full report:
https://gop-foreignaffairs.house.gov/wp-content/uploads/2021/08/ORIGINS-OF-COVID-19-REPORT.pdf

Please tell me youve gone to see Shang chi and the legend of the ten rings

Does anyone have data on average age of death due to covid for some western countries?

I'm from Slovenia and all I could find is the following

>in 2020 there was an excess death of roughly 3,5 thousand more than the average in 2015-2019 (18% increase)
>despite this the average age of death rose by 1,4 years higher than in 2019 for men and 0.8 years higher for women.

>In 2019 the 22,4% of the men and 8,2% of the women died before the age of 65, 16,0 % total
>in 2020 19,4% of the men and 9,8% of the women died before the age of 65 13,7 % total
These numbers are also vastly improved when compared to 2010.

What the fuck is going on exactly? All these excess deaths yet the average age at death is going up and the percentage of those who die under 65 is going down.

All the data is from stat.si (government statistical office) the translation is mine.

Chinese Taikonauts are coming back
https://youtu.be/I0p3P3vErDQ

Ok so, diffusion models have been used from generating NEW images. What I'm trying to achieve is modify an already existing image using this process.

Diffusion models are about going from the extremely noised version of an image (litterally just gaussian noise) to the clear denoised version of it, following a markov chain like so:
T -> T-1 -> ... -> t -> t-1 -> ... -> 0
Each step, to go from t to t-1 we use a trained model to extract the "added" noise and remove it from the image.

This is a deterministric process, so given the same starting noise, using the same trained model, we obtain the same final image result.

The problem that I have is with the other way around, going from a clear image to a noise version of it. This process is stochastic if I just generate a new Gaussian noise and add it.

Should I just train a new model (Maybe an autoencoder) to generate a noisy version an input image that the other model can reconstruct?

I'm way too tired for this...

Outside of public opinion post-Chernobyl and the nothingburgers of Three Mile Island/Fukushima... are there any genuine arguments that have been made by climate change activists and scientists against nuclear energy? Why is it so rarely-discussed? Even Europe is shutting down their nuclear reactors. Is there any hope left for nuclear energy to be used in the near future?

Open to arguments against nuclear energy too. (This is probably posted a lot but I'm a newfag to this sub so pls don't bully)

So we've reached the great filter. Humanity as we know it will be toast between 2050-2100, or possibly earlier. Due to climate change and a general economic collapse.
What did we get so wrong? And what could we have done to avoid it? Discuss.