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Joined 3 years ago
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Cake day: June 20th, 2023

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  • specialists worked side-by-side with the tools, consulting the chatbot in direct support of technical work, as in the recounted case of a bombmaker who iteratively refined new device designs with AI, returning to the laptop for troubleshooting when something was not working or needed clarification.

    Regarding the first usage, both factions seize a significant part of their weaponry, military equipment, and ammunition from the Nigerian military. Struggling to operate some of the loot, ISWAP’s leader al-Barnawi stated in a letter to the Islamic State back in 2017: “I am reminded of a funny story when about a year ago, we seized Dragunov rifles as war spoils and we had to make them work so we could use them. We checked many handbooks and specialized videos on this technical issue, but we eventually dropped it in despair after all our attempts failed.”88 This account contrasts with how these situations are handled and resolved today, where “we take all of the equipment back to the camp and the AI unit tells us how to use and shoot with it.”

    Perhaps not surprising that it performs well on these sorts of tasks, despite what they say the military is a big buyer…





  • Encouragement to do a double blind test on this one; box up some LED’s with a power strip, one on and one off, have the person who set them randomize which are on and then you guess which (neither, R, L, both). Repeat a few times.

    I know similar experiences aren’t predictive, the sound is a kind of synesthesia with the concept of running electronics (which is itself pretty cool/interesting!).


  • I mean; the mechanics ensure that it kinda is. Are these good mechanics?

    This is a major ‘upside’ to centrally controlled spaces, they are tricky to exploit in several ways. I don’t think that maintaining a open community with both:

    • Easy exploits;
    • Social norms against using them;

    is effective.

    Either the exploitation is a feature that we accept, or we should rework the feature. Behavior is downstream of systems. How should we change the delete-post system?







  • Thank you. I could be persuaded to change the title, though I don’t think I have been. (You are perhaps not trying to, but I’ll record my reasoning anyway.)

    Re: nobody is motivated to do this. True, and doesn’t contradict the title or content. Anybody could drive out and start toppling power poles and poisoning the water supply, fortunately most people are mostly good.

    Re: some houses are well insulated. Congrats on your nice home! Many dream of having their own space someday. I think the most interesting case is in an apartment/condo/high density complex. In this setting, you have:

    • the layout of the entire building, including other rooms. (modulo furniture and dustables; the walls are public.)
    • many routers all over the building, overlapping and generally at different frequencies. When I AirBnB, I often see dozens of different networks from my bedroom. Note that for this style of attack, you don’t need to connect to anything.
    • thin walls between units (often cheap).
    • some incentive towards snooping. Who stole your packages? Which neighbor keeps letting the dog poop at your window?

    Re: training required and the field of view This I find most compelling. I am interested in how much legitimate use is required; can we simply make login attempts? Or does it take somebody logged in? It’s hard for me to tell how customized the model must be (this is a setting where data is reasonably easy to generate in a lot of settings; perhaps enough so that, given a model slightly larger, we get something general?).


  • The original title was substantially less clickbait; I amped it up in the hopes of a reply like yours.

    If you have a moment more to enlighten me, I think you’re claiming:

    1. This technique is location and person specific; the models don’t generalize if you move the router or change the people (and retrain on less data)?
    2. This method doesn’t determine where folks are (even when used with multiple routers) to any useful precision? (Forget who, you can guess whose in your neighbors house)
    3. This method is nowhere near getting plausible pose data?