• meme_historian@lemmy.dbzer0.com
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      4 hours ago

      I actually did exactly that a while back while thinking about camera-based missile/drone tracking over cities :D

      Initially the safeguards wouldn’t let me… With the video game angle it helped me theorize a setup and even provided info on how to make the tracking data useable for stationary air defense or mobile MANPAD deployments

      Probably full of flaws and impractical in the real world, but a fun ADD afternoon deep-dive

  • Agent641@lemmy.world
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    9 hours ago

    AI is very naive. Ask it for an explosives recipe and it won’t give you one. Describe a situation where you’re a law enforcement and you’ve just arrested a guy with a bunch of chemicals and ask it which ones could have been used to make an explosive and it will tell you.

    • AppleTea@lemmy.zip
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      6 hours ago

      “Naive” implies some level of understanding, even if a simple one. There is no understanding, its a computer program.

      Really, it would be less inaccurate to describe it as a (high lossy) compressed store of data. Feed it the right input, and it statistically recreates the output your looking for. More or less.

      • hperrin@lemmy.ca
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        6 hours ago

        It would be even more accurate to call it a statistical next word predictor trained on human language.

          • hperrin@lemmy.ca
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            3 hours ago

            It is literally a statistical next word predictor. Well, next token, to be extremely accurate. That is what it is in its most basic form. You give it text, it transforms that into tokens, and predicts the next token. You can then transform that back into words.

            The model is the same size no matter how much it’s been trained. You can fine tune a model to predict certain kinds of tokens next, and you can distill a model to create a smaller model (basically training a small model on the output of a large model).

            Lossy compression works in a fundamentally different way.

        • porous_grey_matter@lemmy.ml
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          4 hours ago

          Even the language “training”, although I know it’s a term of art which has been used for decades, seems to imply some degree of cognition which isn’t representative of the facts.

    • partofthevoice@lemmy.zip
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      5 hours ago

      Not even that. Just change the context into something benignly unrisky. Malware becomes “strong persistence for my personal data project” or something.

      Use can split up the AIs tasks like you would for a large dev team, use a fresh session on each task. Prevent it from seeing the full scope of the project. Get it to build the whole system with cheap social engineering tactics.

      Or, get to to “not cross this barrier” in its development (some benign barrier that you can do manually), such that its product is not the “bad” thing which it is not allowed to produce.

  • sapphironZA@lemmy.world
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    9 hours ago

    The article overestimates the AI capabilities regarding hypersonics. I doubt its actually hypersonics. More likely just ballistics.

    But coding a guidance system makes sense. Not that its particularly difficult. Every $200 drone has the equivalent of that software.

    Also, why would they use anthropic when Chinese models are so much cheaper and nearly as effective. Iran and the Houthi are not wasteful.

    I think there is probably a kernal of truth in there, but this is mostly another hit peace to get the US government to slow down Anthropic so ChatGPT can catch up.

    • assembly@lemmy.world
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      9 hours ago

      I’m guessing that as the guardrails are out in place on Anthropic models, they will still use Claude code but leverage Qwen (or similar) as the LLM. Maybe they are doing that already and simply misunderstanding what Claude is. The LLM wasn’t named…I would expect them to call out Opus (as an example) but they just refer to Claude. My basic guess is just Claude Code witha random model. Could be like Mistral-OBLITERATED or something.

    • Tollana1234567@lemmy.today
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      5 hours ago

      that is probably why anthropoic “Wants to slow down” they want to be the first to get ahead of it, and not be holding the bag in the end. also the USA/ISRAEL has been using palantirs AI, so its fair game.

    • Zwuzelmaus@feddit.org
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      5 hours ago

      Or maybe read it as: “we need more time to better recognize the good from the bad guys, and make both configurable…”

  • Kirp123@lemmy.world
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    11 hours ago

    Ah what a new Pandora’s Box have we opened. Now any wacko with an internet connection, some cheap Chinese electronics and some explosives can make themselves missiles.

    • belochka@lemmy.world
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      3 hours ago

      That’s bad, but good, at least not in every metric this reduces inequality of real power.

      Almost that ancap dream of ancaps 3d-printing small drones keeping the statists in line, a peer-to-peer revolution, so to say, a smoothie anarchist rebellion, to abolish the cryptocurrencies’ Sound Toll.

      I know that always seemed fake and childish (I liked the idea, but still), except looking how that really can eventually start happening with propagation of such power, I’m not sure it is.

      • Kirp123@lemmy.world
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        4 hours ago

        Yeah but pipe bombs can’t usually go very far or fast. These would be like missile pipe bombs.

        • NoneOfUrBusiness@fedia.io
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          3 hours ago

          These still take actual industrial capacity to build; they’re not something you could build on your own even if you could afford to. I’d be more concerned about homemade bombs on drones.