You can install Plex on your mobile device and toggle the “share media from this device” setting. Otherwise, a steam deck would have everything an RPI has plus a GPU and a touch screen. Since there are two radios (2 and 5Ghz) on the device, you should be able to set it up as a bridge device, but I’ve not tried this personally.

Yeah, the panel that stuck with me most was that the US had been escalating sanctions against Japan for their 3 decade long occupation of Manchuria and invasion of Indochina. Admittedly, there were certainly valid complaints against Western imperialism and racism, but the panel said

The United States with its biggest potential influence was hamstrung by isolationism. From 1935 to 1937, Congress passed three “Neutrality Acts”. President Roosevelt, deeply concerned with developments in Europe and Asia, gave the “quarantine speech” on October 5, 1937, in which he urged that it was necessary to deal with international “lawlessness,” implicitly criticizing Japan. The public opinion and Congress gradually supported strengthening sanctions against Japan, such as the abrogation of the U.S.-Japan Trade and Navigation Treaty and finally the oil-embargo, which triggered the war.

which is a bizarre way to justify Pearl Harbor.

That’s gross, and I didn’t know that. That’s certainly not something I saw at the Holocaust memorial or in Dachau. It’s widely reported, however, that German schooling teaches the Holocaust thouroughly while Japan ignores the Asian Holocaust entirely. I can’t speak for the German tank museum in particular, but every museum I’ve been to in Germany made it clear that the 1928-1945 period of German History was unequivocally evil.

The article I linked in the OP mentions how this has caused persistent political divisions between Japan and it’s formerly occupied neighbors.

I thought more about this and realized the Us presents the Enola Gay without context and that’s gross too.. Though the US does have museums on the genocide of Native Americans, Japanese internment camps during world war 2, a national slavery museum and memorial, and there’s been a lot of public controversy around racist statues, so that also feels categorically different than enshrining war criminals as saints in your imperial shrine.

read the other replies and maybe click the link

No, no. This museum failed to mention the millions of people killed by the Japanese Imperial army at all and blamed the war entirely on Western involvement in Japan. It even claims that Japanese troops were welcomed in Nanking. Famously, the rest of the world calls it something very different.

Seriously, just read the linked article. This isn’t a memorial to the victims of war. It glorifies atrocities and rewrites history.

Germany doesn’t have Panzers presented as a cool memorial. This image is taken at the shrine, which also has a museum. Half of the museum is a shrine to people who fought for Japan in World War 2 and many of those people are recognized war criminals.

To me, at least, starting off the museum with a refurbished plane that was used to commit war crimes was, in itself, shocking. Also the gift shop was, uhhhhh…

Like, can you imagine the same in Germany? Little Nazi flags for the kids?

I’d show you pictures of the sketchy exhibits but you’re not allowed to take photos in them.

Oh. My bad. Every post I have submitted here violates that then. I apologize.

yeah. find the es_input.cfg file

Forum link

On Linux, that’s usually the case. Finding the config file is the problem. I suspect that’s why emulation Station isn’t working. I don’t know where that’s installed, but I’d assume there’s another configuration file for ES. It’s probably in the home directory, ~. maybe ~/.emulation_station or or ~/.ES. I don’t recall, but there will be a file structure similar to the RetroArch tree.

In either case, it would be very kind to post the full solution for the next person.

I’ve never had issues with the 8bitdo Controllers on rpi, Bluetooth or wired, but I found a thread where others solved the same problem. Looks like that particular controller isn’t perfectly supported and you need to update xpad and a configuration file.

RetroPie forum.

COVID research made generic sequencing for viruses and bacteria incredibly cheap. You can run a PCR test for most things now for $10 (USD) or less. This opens a whole world of highly specific diagnostics and cheap, hyper-personalized treatments.

Also, MRNA vaccines are being tested for several other diseases and it seems very promising.

and my point was explaining that that work has likely been done because the paper I linked was 20 years old and they talk about the deep connection between “similarity” and “compresses well”. I bet if you read the paper, you’d see exactly why I chose to share it-- particularly the equations that define NID and NCD.

The difference between “seeing how well similar images compress” and figuring out “which of these images are similar” is the quantized, classficiation step which is trivial compared to doing the distance comparison across all samples with all other samples. My point was that this distance measure (using compressors to measure similarity) has been published for at least 20 years and that you should probably google “normalized compression distance” before spending any time implementing stuff, since it’s very much been done before.

I think there’s probably a difference between an intro to computer science course and the PhD level papers that discuss the ability of machines to learn and decide, but my experience in this is limited to my PhD in the topic.

And, no, textbooks are often not peer reviewed in the same way and generally written by graduate students. They have mistakes in them all the time. Or grand statements taken out of context. Or are simplified explanations because introducing the nuances of PAC-learnability to somebody who doesn’t understand a “for” loop is probably not very productive.

I came here to share some interesting material from my PhD research topic and you’re calling me an asshole. It sounds like you did not have a wonderful day and I’m sorry for that.

Did you try learning about how computers learn things and make decisions? It’s pretty neat

You seem very upset, so I hate to inform you that neither one of those are peer reviewed sources and that they are simplifying things.

“Learning” is definitely something a machine can do and then they can use that experience to coordinate actions based on data that is inaccesible to the programmer. If that’s not “making a decision”, then we aren’t speaking the same language. Call it what you want and argue with the entire published field or AI, I guess. That’s certainly an option, but generally I find it useful for words to mean things without getting too pedantic.

Yeah. I understand. But first you have to cluster your images so you know which ones are similar and can then do the deduplication. This would be a powerful way to do that. It’s just expensive compared to other clustering algorithms.

My point in linking the paper is that “the probe” you suggested is a 20 year old metric that is well understood. Using normalized compression distance as a measure of Kolmogorov Complexity is what the linked paper is about. You don’t need to spend time showing similar images will compress more than dissimilar ones. The compression length is itself a measure of similarity.

Yeah. That’s what an MP4 does, but I was just saying that first you have to figure out which images are “close enough” to encode this way.

Then it should be easy to find peer reviewed sources that support that claim.

I found it incredibly easy to find countless articles suggesting that your Boolean is false. Weird hill to die on. Have a good day.

https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=computer+decision+fairness&oq=computer+decison

Agree to disagree. Something makes a decision about how to classify the images and it’s certainly not the person writing 10 lines of code. I’d be interested in having a good faith discussion, but repeating a personal opinion isn’t really that. I suspect this is more of a metaphysics argument than anything and I don’t really care to spend more time on it.

I hope you have a wonderful day, even if we disagree.

computers make decisions all the time. For example, how to route my packets from my instance to your instance. Classification functions are well understood in computer science in general, and, while stochastic, can be constructed to be arbitrarily precise.

https://en.wikipedia.org/wiki/Probably_approximately_correct_learning?wprov=sfla1

Human facial detection has been at 99% accuracy since the 90s and OPs task I’d likely a lot easier since we can exploit time and location proximity data and know in advance that 10 pictures taken of Alice or Bob at one single party are probably a lot less variant than 10 pictures taken in different contexts over many years.

What OP is asking to do isn’t at all impossible-- I’m just not sure you’ll save any money on power and GPU time compared to buying another HDD.

Definitely PhD.

It’s very much an ongoing and under explored area of the field.

One of the biggest machine learning conferences is actually hosting a workshop on the relationship between compression and machine learning (because it’s very deep). https://neurips.cc/virtual/2024/workshop/84753