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Cake day: November 5th, 2025

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  • TwentyEight@lemmy.mltoFirefox@lemmy.mlI think nobody wants AI in Firefox, Mozilla
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    4 days ago

    I have studied machine learning to an useful level. Based on that it currently looks to me that:

    A fine-tuned (for specific purposes) LLM utilising RAG and high quality prompt engineering can make redundant north of 50% white collar office roles over some small number of years of further fine-tuning (post initial deployment of the AI).

    But without these techniques LLM’s just aren’t accurate enough to be deployable on a large scale. Usually these techniques require a locally hosted LLM for one reason or another.

    The only sized organisations that it might make sense to use these multi-billion data centres for the above purposes (to get the LLM’s accurate enough to be useful) are governments, or huge companies that can pay billions to the likes of microsoft (or OpenAI, or Anthropic or whoever is left standing) to do all of the above on a huge scale.

    I might be wrong now, but even if I am not, it is such a rapidly changing technology that in three months this might be an out of date opinion.


  • Really good quality cooking equipment always says it is not dishwasher safe. I don’t know how true that actually is, but washing stuff as you cook is definitely part of the process for me, so it is fine for me to hand wash.

    For the record: I particularly like cooking, and bought a load of great quality cooking stuff that will last for life when I had money - I am not being a dickhead.



  • I told you I wasn’t interested in a debate. I also verified the information at the time. Now piss off.

    Edit - downvote away. But you are a fool to blindly downvote away an obvious fact that contradicts the reality you have constructed. Try and learn to change mentally with new information - it will serve you well. It is foolish to think ‘literally’ originally meant ‘in fact’ or ‘in reality’ rather than ‘in literature’, so go and be foolish.




  • I just quickly read a couple of discussion on the definition of ‘literally’ that don’t particularly pick up on the following, but in the ai era this doesn’t really mean anything.

    I remember being told that originally used to mean ‘figuratively’. I.e. as in ‘in literature’ as opposed to ‘in reality’. This seems to be in keeping with its modern use as an intensifier.

    I’m not interested in a debate on this, as it doesn’t really matter to me. I’m just passing on what I was told, and offering offering a differing perspective.




  • tl/dr: I identiy with some of what you say. Counseling might help but don’t expect an easy panacea. I busy myself with positive things to crowd out the negative when all else fails, and although it is hard for me to sustain that effort in my current situation, when I do that stuff it does work.

    The weight of my past experiences became a burden that I haven’t been able to really manage for a long time now: traumatic childhood coupled with and exacerbated by undiagnosed ‘autism’ - in quotation marks because although it is an important part of my story, and an accurate dianosis, it is a bit of a ‘diagnosis du jour’, and nowhere near the self-image I have constructed and I struggle with how I see myself. I very much identify with your experience of having an inaccurate self-image. I came up with reasons as to why I suffered burn out that just weren’t real and need to try and deconstruct that story that I have told myself.

    I understand what has happened in my life, and why and how I have ended up where I have, but that isn’t in and of itself enough for me to manage. I personally need quite a large and regimented daily program of stuff (none of it too fancy - exercise, things that give me purpose, and ultimately crowd out the negative things) just to stay on an even keel. I am often not able to sustain the effort and struggle. I need more help than is available in my current situation, and so I am not able to contribute in the manner I can - I am normally a very high achiever.

    Counseling can help, but my experience was that finding a counselor that was good for me wasn’t straightforward. In fact after lots of trying I hardly managed it; one helped me through a particularly difficult period, but that was it. I am far from ‘cured’ in any meaningful sense at all.


  • Datacentre-hosted LLM’s have a long way to go to be accurate enough for mass deployment. It looks to me like it will take a miracle of some sort for them to manage it before this bubble pops. It could be decades or more, after all we don’t have a real understanding of how the brain works, so hoping to mimic it now seems a bit premature.

    I can see RAG and fine tuning making an LLM accurate enough to be functional, enough for a range of natural language processing computing tasks (with a decent amount of human input that ultimately is used for fine-tuning). But even if just for cost reasons (in RAG’s case), you will surely want your LLM hosted locally. I don’t see a need for that data centre.

    Venture capitalists/silicone valley bros might have burned through trillions to do the work to get trained LLM’s useful enough for people to run in their own organisations/at home.




  • Compare the pictures of everyone fit with clean air cycling to work in Beijing in the 70s and 80s, with piles of ebikes dumped in huge piles in a smog-laden Beijing of the 2010’s as fossil-fuel-powered capitalism has grown to the point everyone is driving cars.

    Pretty sad and stupid. Bikes are one of the greatest designs - in terms of efficiency - humankind has ever come up with.