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Cake day: February 5th, 2025

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  • I believe the collection of the information is inevitable. What I would push for instead of driving them to make the cameras and databases more clandestine than they already are is for the information that they collect to be made openly available to all.

    As things are, it’s a very asymmetrical power tool for the advantage of the (government) operators.

    When ALL the information is available to everyone, we can talk about where the cameras do and do not need to be. And any unapproved cameras can be suppressed as evidence against private individuals.



  • Maybe bodycams should randomly record

    For what memory chips cost these days, they should record continuously anytime the camera (accelerometer in the camera) detects motion within the previous 10 minutes. If they’re on-body, or in a moving car, they should be recording.

    The “save” button could work the same: mark 30 seconds before until “save” is deactivated to be “do not delete this for rotation” - but otherwise, save everything anyway, only rotate out after 2TB of memory card is full, and download at the end of every shift.

    Better still, download continuously to the car and 5G it to a cloud server where the department can’t delete it.





  • The technical solution is: body cam footage is automatically, frequently, uploaded to cloud servers that the department does not control. The department gets read-only access, nobody gets the ability to delete footage for 7 years, and defense attorneys get automatic access to everything remotely related to their case.

    Also: planting evidence and sending the falsely accused to prison for 6 months is a misdemeanor punished with suspended sentences and probation? That department owes the falsely accused damages for lost wages and damage to their ability to obtain future employment. That’s actually a “superpower” cops know all too well: if you’ve never been arrested they can seriously screw up your life with absolute impunity just by arresting you - charges never have to be filed, that arrest on your record - however baseless it may be - can hurt you in all sorts of ways, especially employability, for the rest of your life.


  • LLM, unlikely. ML, probably

    ML already has demonstrated tremendous capability increases for automated machines, starting with postal letter sorters decades ago, proceeding through ever more advanced (and still limited, occasionally flawed - like people) image recognition.

    LLM puts more of a “natural language interface” on things, making phone trees into something less infuriating to use and ultimately more helpful.

    LLMs, which are too costly to train and run

    That’s a matter of application

    inherently too unreliable for safety-critical or health-critical use

    Yeah, although I can see LLMs being helpful as a front end, in addition to the traditional checklist systems used for safety regulation, medical Dx and other guidance, an LLM can (and has, for me) provided (incomplete, sometimes flawed) targeted insights into material it reviews - improving the human review process as an adjunct tool, not as a replacement for the human reviewer.

    too flaky for any use requiring auditability

    Definitely. Mostly I have been using LLM generated code to create deterministic processes which can be verified as correct - it’s pretty good at that, I could write the same code myself but the AI agent/LLM can write that kind of (simple) program 5x-10x faster for 10% of the “brain fatigue” and I can focus on the real problems we’re trying to solve. Having those deterministic tools again makes review and evaluation of large spreadsheets a more thorough and less labor intense process. People make mistakes, too, and when you give them (for this morning’s example) a spreadsheet with 2000 rows and 30 columns to “evaluate” - beyond people’s “context window capacity” as well… we need tools that focus on the important 50 lines and 8 columns without missing the occasional rare important datapoints…

    So far, with LLMs, the game ain’t worth the candle,

    The better modern models, in roughly the past 10 months or so, have turned a corner for some computer programming tasks, and over those 10 months they have improved rather significantly. It’s not the panacea revolution that a lot of breathless journalists describe, but it’s a better tool assisting in the creation of simple programs (and simple components of larger programs) than anything I have used in the previous 45 years, and over the past 10 months the level of complexity / size of programs the LLMs can effectively handle has roughly tripled, in my estimation for my applications.

    even without considering the enormous environmental damage caused by their supporting infrastructure.

    When it’s used for worthless garbage (as most of it seems to be today), I agree with this evaluation. Focused on good use cases? In specifically good use cases, the power / environmental impacts range from trivial to positive - in those cases where the AI agents/LLMs are saving human labor - human labor and its infrastructure has enormous environmental impact too.