I’ve always found the best people at foodnotbombs, which has local chapters in most cities. Start there.

link

a variety of independent news sources.

Wikipedia is notoriously susceptible to bias when it comes to history and politics and has a noted left center bias (according to researchers at Harvard, not my words).

https://en.m.wikipedia.org/wiki/Ideological_bias_on_Wikipedia

I’m not saying it’s a terrible sources but it definitely should not be the last stop and anything controversial (or the lack thereof) isn’t a meaningful indicator of whether or not something is actually true. Note the numerous examples of historical revisionism in the linked article.

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.

For the young ones:

https://en.m.wikipedia.org/wiki/Dixie_Chicks_comments_on_George_W._Bush

Sorry about the downvotes. I’ve found Lemmy to be weirdly territorial like reddit, despite having only a few 10k users. There’s not enough content to push everything into hyper specific silos. I feel you. Also, thanks. I had some weird permissions issue on my Ubuntu gaming rig with Firefox snap and installing the .deb resolved my issue. Ignore the haters-- I found this post useful.

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.

no, no. I promise you that it’s delicious. it’s like biting into a ball of miso.

definitely A. Eat a big spoonful sometime.

MSG because it’s delicious.

I intended B, but A is also true, no?

Yeah. I’m thinking more along the lines of research and open models than anything to do with OpenAI. Fair use, above all else, generally requires that the derivative work not threaten the economic viability of the original and that’s categorically untrue of ChatGPT/Copilot which are marketed and sold as products meant to replace human workers.

The clean room development analogy is definitely an analogy I can get behind, but raises further questions since LLMs are multi stage. Technically, only the tokenization stage will “see” the source code, which is a bit like a “clean room” from the perspective of subsequent stages. When does something stop being just a list of technical requirements and veer into infringement? I’m not sure that line is so clear.

I don’t think the generative copyright thing is so straightforward since the model requires a human agent to generate the input even if the output is deterministic. I know, for example, Microsoft’s Image Generator says that the images fall under creative Commons, which is distinct from public domain given that some rights are withheld. Maybe that won’t hold up in court forever, but Microsoft’s lawyers seem to think it’s a bit more nuanced than “this output can’t be copyrighted”. If it’s not subject to copyright, then what product are they selling? Maybe the court agrees that LLMs and monkeys are the same, but I’m skeptical that that will happen considering how much money these tech companies have poured into it and how much the United States seems to bend over backwards to accommodate tech monopolies and their human rights violations.

Again, I think it’s clear that commerical entities using their market position to eliminate the need for artists and writers is clearly against the spirit of copyright and intellectual property, but I also think there are genuinely interesting questions when it comes to models that are themselves open source or non-commercial.

For example, if I ask it to produce python code for addition, which GPL’d library is it drawing from?

I think it’s clear that the fair use doctrine no longer applies when OpenAI turns it into a commercial code assistant, but then it gets a bit trickier when used for research or education purposes, right?

I’m not trying to be obtuse-- I’m an AI researcher who is highly skeptical of AI. I just think the imperfect compression that neural networks use to “store” data is a bit less clear than copy/pasting code wholesale.

would you agree that somebody reading source code and then reimplenting it (assuming no reverse engineering or proprietary source code) would not violate the GPL?

If so, then the argument that these models infringe on right holders seems to hinge on the verbatim argument that their exact work was used without attribution/license requirements. This surely happens sometimes, but is not, in general, a thing these models are capable of since they’re using loss-y compression to “learn” the model parameters. As an additional point, it would be straightforward to then comply with DMCA requests using any number of published “forced forgetting” methods.

Then, that raises a further question.

If I as an academic researcher wanted to make a model that writes code using GPL’d training data, would I be in compliance if I listed the training data and licensed my resulting model under the GPL?

I work for a university and hate big tech as much as anyone on Lemmy. I am just not entirely sure GPL makes sense here. GPL 3 was written because GPL 2 had loopholes that Microsoft exploited and I suspect their lawyers are pretty informed on the topic.

I hate big tech too, but I’m not really sure how the GPL or MIT licenses (for example) would apply. LLMs don’t really memorize stuff like a database would and there are certain (academic/research) domains that would almost certainly fall under fair use. LLMs aren’t really capable of storing the entire training set, though I admit there are almost certainly edge cases where stuff is taken verbatim.

I’m not advocating for OpenAI by any means, but I’m genuinely skeptical that most copyleft licenses have any stake in this. There’s no static linking or source code distribution happening. Many basic algorithms don’t follow under copyright, and, in practice, stack overflow code is copy/pasted all the time without that being released under any special license.

If your code is on GitHub, it really doesn’t matter what license you provide in the repository – you’ve already agreed to allowing any user to “fork” it for any reason whatsoever.

People who use LLMs to write code (incorrectly) perceived their code to be more secure than code written by expert humans.

https://arxiv.org/abs/2211.03622

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.