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DeepSeek accused of powering China’s military and mining US user data

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  • WhatsApp deletes over 6.8m accounts linked to scams, Meta says

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    T
    Have you tried been a spambot?
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    A
    they don't just whimsically decide on a daily basis whether or not to comply with court orders. something changed legally that caused them to take action.
  • New youtube web video player interface...?

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    eager_eagle@lemmy.worldE
    I still see the older one, that's not that different tbh
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    Niemand hat geantwortet
  • Apple Just Proved They're No Different Than Google

    Technology technology
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    2 ads when Linus mentioned candy crush. There is zero flow to youtube anymore
  • New Orleans debates real-time facial recognition legislation

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    [image: 62e40d75-1358-46a4-a7a5-1f08c6afe4dc.jpeg] Palantir had a contract with New Orleans starting around ~2012 to create their predictive policing tech that scans surveillance cameras for very vague details and still misidentifies people. It's very similar to Lavender, the tech they use to identify members of Hamas and attack with drones. This results in misidentified targets ~10% of the time, according to the IDF (likely it's a much higher misidentification rate than 10%). Palantir picked Louisiana over somewhere like San Francisco bc they knew it would be a lot easier to violate rights and privacy here and get away with it. Whatever they decide in New Orleans on Thursday during this Council meeting that nobody cares about, will likely be the first of its kind on the books legal basis to track civilians in the U.S. and allow the federal government to take control over that ability whenever they want. This could also set a precedent for use in other states. Guess who's running the entire country right now, and just gave high ranking army contracts to Palantir employees for "no reason" while they are also receiving a multimillion dollar federal contract to create an insane database on every American and giant data centers are being built all across the country.
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    I believe that's what a write down generally reflects: The asset is now worth less than its previous book value. Resale value isn't the most accurate way to look at it, but it generally works for explaining it: If I bought a tool for 100€, I'd book it as 100€ worth of tools. If I wanted to sell it again after using it for a while, I'd get less than those 100€ back for it, so I'd write down that difference as a loss. With buying / depreciating / selling companies instead of tools, things become more complex, but the basic idea still holds: If the whole of the company's value goes down, you write down the difference too. So unless these guys bought it for five times its value, they'll have paid less for it than they originally got.
  • Napster/BitTorrent for machine learning?

    Technology technology
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    What would a use case look like? I assume that the latency will make it impractical to train something that's LLM-sized. But even for something small, wouldn't a data center be more efficient?