But only people with the same names as famous criminals can join. The conversations on a group like this would be incredible.

cross-posted from: https://piefed.world/c/tech/p/1124775/xai-now-has-46-gas-turbines-without-air-permits

Today’s game is Ghost of Tsushima. I finally finished the main story for a second time. I think having gotten a chance to mature when I played this the second time has let me pick up on a lot of themes I didn’t before.

Spoiler

One such one I was going to note was the symbolism of Jin not having any honor, while Shimura is a “Slave” to honor.

On retrospect though I’ve been weighing this. Half in my head I’ve been wondering if the Khan is the one without Honor, and Jin is instead the “Middle Ground”. But also I don’t think that’s necessarily true, because he adopts a lot of their things that make them dishonorable, so he’s more so the idealized morally good version of that.

Spoiler

I also got these lovely sunset photos of the duel I wanted to share. The sunset and silhouette really bring out the picture to me.

In the epilogue I also noticed Jin has Shimura’s armor. It makes me wonder how he got it. I have to assume he stole it. Then again there’s all those Easter eggs of other Sony franchises so maybe it’s best not to question it.

Next time I play I’d like to get to the DLC, so I guess that’s kind of next on my list. I promised myself I’d finish this before anything else so I’d like to stick to that. Then go back and clean my backlog.

Hello there !

I want to code a little incremental game just for me and some friends, and i started prototyping this in Go (because i know how to use it) but i was thinking that maybe run it in a browser and then use typescript would be better

I have no experience in making games and in javascript, i mostly code for backend and math stuff (my favorite gui is a terminal), and when i need a real gui i use pure html page edited by backend

So i was wondering what would be easier between learning making game in Go, or learning JS/TS for an incremental game (pictures and numbers and text, maybe little animations), and if javascript is still relevant to learn

Thanks !

(Also im a student, so my knowledge of the professional dev world is quite limited, forgive my approximative wording :b)

I've transferred over my Google backup multiple times. I have multiple "takeout" directories with duplicate data. Some of them are zip files too.

Is there a tool I can use to find and delete duplicate files? I tried letting Dupeguru run, but eventually it said I was out of memory, and it was not useful in finding or deleting anything.

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Trump’s “big, beautiful bill,” state budget turmoil and new attacks on paid family caregiving have people fearing financial ruin as they fight to keep loved ones out of institutions.

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Our family watches TV trough IPTV and via streaming services and it's been fine enough for quite some time. However, now one of our broadcast companies got in a fight about streaming contract with our IPTV provider and we lost a few of the channels. Not that big of a deal for me personally, but apparently there's some shows the rest of the family wants to see. This isn't the first time and likely it won't be the last.

However, all the free channels are available over air as well (and that's one excuse for IPTV operators to exclude offerings, "you can watch it anyway"). We have an antenna, but previous house owners just left the cable loose at the outside wall and brough it trough a hole in window frame. I've removed the cable and patched the hole for it and it'd be pretty difficult to run antenna cable to our TV set cleanly. However, I could pull a new cable nearby to my server stack with reasonable effort.

It's been quite a while since I've played with capture cards and any kind of streaming, so maybe hive mind here has some ideas. TV already has Android TV box connected, so anything that works with it is a bonus, but not a requirement.

So, what software (and hardware) I could use to pull video from DVB-T2 and stream that over local network?

cross-posted from: https://mander.xyz/post/52050172

State-coordinated media leave measurable imprints on large language models' outputs by shaping the web content these models train on, with effects strongest in the languages where media control is concentrated, a multi-institutional research project published in Nature demonstrates.

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This research highlights how information-ecosystem control can propagate into model training data, creating language-specific biases practitioners should account for in dataset curation and evaluation.

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According to the Nature study ... the researchers analysed six interlinked studies and found over 3.1 million Chinese-language documents in an open-source multilingual dataset that closely matched phrasing from documented Chinese state media sources, amounting to about 1.64% of the Chinese corpus and roughly 40 times the representation of Chinese-language Wikipedia; for documents mentioning political figures or institutions the share rose to 23%.

The study also reports that only about 12% of matched documents came from known government or news domains, indicating broader dissemination across the web.

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The study authors say that,

we show ... that government control of the media across the world already influences the output of LLMs via their training data ... LLMs exhibit a stronger pro-government valence in the languages of countries with lower media freedom than in those with higher media freedom. This result is correlational, so to triangulate the specific mechanism of how state media control can influence LLMs, we develop a multi-part case study on China’s media. We demonstrate that media scripted and curated by the Chinese state appears in LLM training datasets. To evaluate the plausible effect of this inclusion, we use an open-weight model to show that additional pretraining on Chinese state-coordinated media generates more positive answers to prompts about Chinese political institutions and leaders. We link this phenomenon to commercial models through two audit studies demonstrating that prompting models in Chinese generates more positive responses about China’s institutions and leaders than do the same queries in English. The combination of influence and persuasive potential across languages suggests the troubling conclusion that states and powerful institutions have increased strategic incentives to leverage media control in the hopes of shaping LLM output.

Web Archive link

Here is another article with additional information: Media Control's Surprising Impact on AI Outputs

The original study is unfortunately behing a paywall: State media control influences large language models