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Joined 2 years ago
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Cake day: April 21st, 2024

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  • Everything is guessing, only death is certain. I’ve worked with AI/ML for over 15 years long before folks got all hot and bothered by it. Your examples you give are great because if you walked up to a person and just said 5 you might get as random of answers and you gave.

    Assuming by AI you mean LLMs, because that is what is hot on social media today, they use statistical probability models to be able to rate their input to output consistency. It is measurable but could never be 100%. No compute or person is 100%, but an LLM is orders of magnitude less consistent than traditional compute.

    I use AI on a daily basis. I trust it less than people, but I also am able to feed it dumb questions which is nice.





  • There are conditions where sex is painful that exist for both genders. Vaginismus is maybe 6% for women and phimosis is maybe 3% for men. Numbers on these things are tough to get as many people suffer them quietly thinking they are normal.

    If you or your partner experience issues it is important to know you are not alone and you have choices. That said some folks also just do not enjoy sex. Many certainly do, regardless of gender or physicallity.

    If you are having issues and you don’t want to, I would advise talking with someone you trust and also seeing a doctor. It is good to get a few viewpoints on issues like this as sometimes they can be dismissed.




  • The fact that consumers have LLM garbage shoved in their face doesn’t mean that the exponential increase in other ML use cases isn’t driving life saving technology. The COVID vaccine only deployed as fast as it did because of AI ML. 20% of surgeries right now are robot assisted and all of those use AI ML.

    On a personal level I’ve been able to move my family to FOSS because of LLMs. LLMs are very good at understanding how open source software works and translating the workflows to human language. I personally can read man pages but others in my family honestly don’t want to have to in order to just watch a show on AppleTV. I can do this with a small local LLM running on a low wattage micro server.

    We are seeing LLMs enabling us easily to overwrite the proprietary software in our home devices and take back hardware and improve repairability so we can stop producing so much E Waste. And the more that companies use LLM code to slop up their embedded devices the easier it becomes.