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South_korea_ln

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southkorealn@nostrplebs.com

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South_korea_ln10h ago
The Hijacking of Bitcoin - Brownstone Institute https://brownstone.org/articles/the-hijacking-of-bitcoin/ Someone in a crypto group I'm part of sent this article yesterday. I stopped reading after this paragraph: > Lightning works like opening a tab at a bar: you and the bar settle later. It is faster and cheaper for small payments, but it relies on middlemen (called hubs) who hold your money in channels and can see what you are doing. It is not the same as handing someone cash. It adds points where someone else can interfere or shut things down. When I told him I stopped reading after this uninformed paragraph on the LN, they asked me, _what is LN_? Yet, he based his current negative sentiment on Bitcoin on this article. This resonates with the article @Darthcoin just posted (https://stacker.news/items/1452620/r/south_korea_ln). This is what we are up against. Willful and/or accidental misinformation campaigns. The LN works. People are working on making it better, but it works. https://stacker.news/items/1452632
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South_korea_ln10h ago
Massacre of girls at Minab school: human error or artificial intelligence? https://en.ilsole24ore.com/art/minab-school-girls-massacr… I already vented about the human side of this massacre here (https://stacker.news/items/1448847/r/south\_korea\_ln), but posting this article as it turns out this could have been influenced by the heave use of AI. > The preliminary report, according to rumours in the New York Times, reveals that the school was destroyed because Central Command, the military command engaged in the Middle East, relied on outdated intelligence information, provided by the Defense Intelligence Agency (Dia), the Pentagon's intelligence service. And which, inexplicably, was not checked, a procedure that traditionally takes place at several levels and can draw on hundreds of analysts and military experts. To me, the title is misleading. If it is AI that incorrectly assigned the school to be a military target because of outdated data, then it is *very much* a human error. But then again, as with coding, people don't seem to take responsibility for the code their LLM spawns. In an ideal world, someone would take responsibility for this shitshow. Yet, this market will likely resolve with a *no*: [https://beta.predyx.com/market/pete-hegseth-out-as-secret…](https://beta.predyx.com/market/pete-hegseth-out-as-secret…) https://stacker.news/items/1452627
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