• 4 Posts
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Joined 1 year ago
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Cake day: June 19th, 2023

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  • I don’t think it’s all grift - there are absolutely places where LLMs are the best tech out there, but it’s probably not going to take everyone’s jobs any time soon (at least not on merit - in sure there are plenty of places that’d accept a 50% drop in quality for a 90% drop in price)

    I’ve seen a pretty compelling case study of a company using an LLM as a “tier zero” support tech - instead of getting a tier 1 tech to classify a case, decide if they had the tools to address the issue or if it needs to go to tier 2, work out if it was an instance of a known issue etc before they actually start working on the problem, give the LLM some examples and get it to do the triage so the humans can do the more complicated stuff. It does about as well as a human, for a fraction of the price.


  • Work paid for me to go to a “getting started with AI for businesses” seminar run by [redacted reputable organisation name] and holy crap the FOMO.

    • The whole premise of the thing basically boiled down to “LLMs are a massive game changing technology that is going to make huge amounts of human tasks obsolete and if you don’t get in on it now your competitors will and you’ll be bankrupt in a decade” which… idk. Useful technology for sure, but this isn’t the AI singularity. The vibe I got was all these people are old enough to see the fortunes won and lost when the internet exploded, and are terrified that this is going to be that all over again and that they’ll end up left behind.
    • People massively personify LLMs without thinking through the actual detail in how they work. Someone asked a question about how you can rely on information the LLM gives you, and the suggestion was to just ask it how confident it is which isn’t really how LLMs work - they are fancy auto complete, it has no theory of mind or actual reasoning - it can’t know if what it’s saying is true or not, but because it is being presented as something you can converse with, it feels like there is some deeper cognition that you can interrogate

  • I think there are few overlapping things here that are probably worth pulling apart. Keep in mind that all of these are spectrums, some people might experience these acutely, others mildly, others not at all.

    • Gender non-comformance: having a preference for activities that are typically ascribed to or preferring to appear as the gender opposite to the one you present as - men who like wearing dresses and sewing, women who prefer having short cropped hair and playing rugby
    • Transgender - a feeling that your sex (your biology) does not match up with your gender (do you consider yourself to be a man or a woman?). Gender is a really complex thing and is pretty strongly informed by society - what were you taught “man” and “woman” means beyond just sex. For some people this disconnect can be dysphoric, and it quite often overlaps with gender non-comformance
    • Transition - changing your gender presentation to be different from your sex. This can be small things - changing your hair style - to large changes such as getting legal recognition for a new name and gender identity or seeking medical interventions.

    I guess my point is that there are plenty of people who engage in small non-conformances or who feel like their experience of being man doesn’t 100% line up with how society perceives men, and that’s valid, and is a trans experience, but doesn’t mean that they do or should feel like “trans” is a label or identity that applies to them. In the same way that you can understand that you are a little bit bi, without that being a significant part of your identity



  • I was in the same place as you a few years ago - I liked swarm, and was a bit intimidated by kubernetes - so I’d encourage you to take a stab at kubernetes. Everything you like about swam kubernetes does better, and tools like k3s make it super simple to get set up. There _is& a learning curve, but I’d say it’s worth it. Swarm is more or less a dead end tech at this point, and there are a lot more resources about kubernetes out there.




  • You, know what - this might actually be useful. People were complaining about not being involved in decision making, so I have to run a monthly meeting where people will either sit contributing nothing even when asked a direct question, or insist on bike shedding the most unimportant details. If the meeting is a bunch of AI homunculi then it’ll be quicker at least






  • On top of the logistics of moving massive amounts of water around, flood water is typically highly contaminated - by their nature, floods sweep up everything in their path, which typically will include things like:

    • Soil and sand (a massive pain to filter out)
    • Agricultural run off (manure, pesticides, fertilizer, …)
    • Raw sewage (from treatment plants that tend to be near waterways, or just from damaged infrastructure)
    • Industrial wastes (from existing plants, or old contaminated sites)

    Infectious disease is a major problem after a flood, partly because of infrastructure damage but also just because so many people will have come in contact with contaminated water - you don’t want to irrigate your crops with flood water, much less drink it