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[JS Required] The Past, Present, and Future of Police Body Cameras

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  • Artificial intelligence (AI) is reshaping the criminal justice system. Law enforcement agencies are using it to predict crime, expedite response, and streamline routine tasks. One of the most promising applications can be found in body camera programs, where AI is transforming unmanageable archives of footage into active sources of insight.

    AI can now analyze hundreds of hours of video in seconds. Early pilot programs suggest that these video-reviewing tools, when guided by human oversight, can uncover critical evidence that might otherwise be overlooked, reduce pretrial bottlenecks, and identify potential instances of officer misconduct. But these benefits come with risks. Absent clear guardrails, the same technologies could drift toward government overreach, blurring the line between public safety and state surveillance.

    The line between public security and state surveillance lies not in technology, but in the policies that govern it. To responsibly harness AI and mitigate these risks, we recommend that agencies and policymakers:

    • Establish and enforce clear use policies. Statewide rules for body camera use and AI governance ensure consistency across jurisdictions, particularly in areas like body camera activation, evidence sharing, and public disclosure.
    • Pair technology with human oversight. AI should enhance—not replace—human decision-making. Final judgments must rest with trained personnel, supported by independent policy oversight from civilian review boards.
    • Safeguard civil liberties. Safeguards must be in place to protect individual rights, limit surveillance overreach, and ensure data transparency. For example, limiting facial recognition during constitutionally protected activities like protests will help ensure AI is aligned with democratic ideals.

    With the right guardrails in place, AI can elevate body cameras from after-action archival tools to always-on intelligence tools, informing decisions in the moment, when it matters most.

  • Artificial intelligence (AI) is reshaping the criminal justice system. Law enforcement agencies are using it to predict crime, expedite response, and streamline routine tasks. One of the most promising applications can be found in body camera programs, where AI is transforming unmanageable archives of footage into active sources of insight.

    AI can now analyze hundreds of hours of video in seconds. Early pilot programs suggest that these video-reviewing tools, when guided by human oversight, can uncover critical evidence that might otherwise be overlooked, reduce pretrial bottlenecks, and identify potential instances of officer misconduct. But these benefits come with risks. Absent clear guardrails, the same technologies could drift toward government overreach, blurring the line between public safety and state surveillance.

    The line between public security and state surveillance lies not in technology, but in the policies that govern it. To responsibly harness AI and mitigate these risks, we recommend that agencies and policymakers:

    • Establish and enforce clear use policies. Statewide rules for body camera use and AI governance ensure consistency across jurisdictions, particularly in areas like body camera activation, evidence sharing, and public disclosure.
    • Pair technology with human oversight. AI should enhance—not replace—human decision-making. Final judgments must rest with trained personnel, supported by independent policy oversight from civilian review boards.
    • Safeguard civil liberties. Safeguards must be in place to protect individual rights, limit surveillance overreach, and ensure data transparency. For example, limiting facial recognition during constitutionally protected activities like protests will help ensure AI is aligned with democratic ideals.

    With the right guardrails in place, AI can elevate body cameras from after-action archival tools to always-on intelligence tools, informing decisions in the moment, when it matters most.

    Yeah, sure. Like the police need extra help with racial profiling and "probable cause." Fuck this, and fuck the people who think this is a good idea.

    I'm sure the authoritarians in power right now will get right on those proposed "safeguards," right after they install backdoors into encryption, to which Only They Have The Key™, to "protect" everyone from the scary "criminals."

  • UK government suggests deleting files to save water

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    summitsystems.co.uk/adiabatic-coolers-vs-cooling-towers/ There are many solutions to this problem. Evaporative cooling is just the cheapest. But it's only cheap because we don't charge these water users market rates for water. If they're threatening drinking water or agricultural water we should just charge them for water usage the same as you pay for drinking water at home. That's fundamentally what they're taking when they drain the rivers dry. That way they compete directly on the water market instead of bypassing it. They'll install adiabatic coolers in no time.
  • A leap toward lighter, sleeker mixed reality displays

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    I actually think this is the only way forward past phones. All the AI assistant tools, voice controlled speakers, foldable devices don't really change how we use 99% of the software. VR/AR, when (if?) finally done right will change that.
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    Idk if it’s content blocking on my end but I can’t tell you how upset I am that the article had no pictures of the contraption or a video of it in action.
  • No JS, No CSS, No HTML: online "clubs" celebrate plainer websites

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    Gemini is just a web replacement protocol. With basic things we remember from olden days Web, but with everything non-essential removed, for a client to be doable in a couple of days. I have my own Gemini viewer, LOL. This for me seems a completely different application from torrents. I was dreaming for a thing similar to torrent trackers for aggregating storage and computation and indexing and search, with search and aggregation and other services' responses being structured and standardized, and cryptographic identities, and some kind of market services to sell and buy storage and computation in unified and pooled, but transparent way (scripted by buyer\seller), similar to MMORPG markets, with the representation (what is a siloed service in modern web) being on the client native application, and those services allowing to build any kind of client-server huge system on them, that being global. But that's more of a global Facebook\Usenet\whatever, a killer of platforms. Their infrastructure is internal, while their representation is public on the Internet. I want to make infrastructure public on the Internet, and representation client-side, sharing it for many kinds of applications. Adding another layer to the OSI model, so to say, between transport and application layer. For this application: I think you could have some kind of Kademlia-based p2p with groups voluntarily joined (involving very huge groups) where nodes store replicas of partitions of group common data based on their pseudo-random identifiers and/or some kind of ring built from those identifiers, to balance storage and resilience. If a group has a creator, then you can have replication factor propagated signed by them, and membership too signed by them. But if having a creator (even with cryptographically delegated decisions) and propagating changes by them is not ok, then maybe just using whole data hash, or it's bittorrent-like info tree hash, as namespace with peers freely joining it can do. Then it may be better to partition not by parts of the whole piece, but by info tree? I guess making it exactly bittorrent-like is not a good idea, rather some kind of block tree, like for a filesystem, and a separate piece of information to lookup which file is in which blocks. If we are doing directory structure. Then, with freely joining it, there's no need in any owners or replication factors, I guess just pseudorandom distribution of hashes will do, and each node storing first partitions closest to its hash. Now thinking about it, such a system would be not that different from bittorrent and can even be interoperable with it. There's the issue of updates, yes, hence I've started with groups having hierarchy of creators, who can make or accept those updates. Having that and the ability to gradually store one group's data to another group, it should be possible to do forks of a certain state. But that line of thought makes reusing bittorrent only possible for part of the system. The whole database is guaranteed to be more than a normal HDD (1 TB? I dunno). Absolutely guaranteed, no doubt at all. 1 TB (for example) would be someone's collection of favorite stuff, and not too rich one.
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    01189998819991197253@infosec.pub0
    I meant to download from the official Microsoft site. Kudos on getting your mum on Linux! I was unable to keep mine on it : / Maybe I'm missing something, but this is from the "Download Windows 11 Disk Image (ISO) for x64 devices" section from the official Microsoft site, but I don't see any option to buy or mention of it: Before you begin downloading an ISO Make sure you have: An internet connection (internet service provider fees may apply). Sufficient data storage available on the computer, USB, or external drive you are downloading the .iso file to. A blank DVD disc with at least 8GB (and DVD burner) to create a bootable disc. We recommend using a blank USB or blank DVD, because any content on it will be deleted during installation. If you receive a “disc image file is too large” message while attempting to burn a DVD bootable disc from an ISO file, consider using a higher capacity Dual Layer DVD.
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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.
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  • X launches E2E encrypted Chat

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    So you do have evidence? Where is it?