• 3 Posts
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Joined 1 year ago
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Cake day: July 1st, 2023

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  • I prefer mistral models. All their models are uncensored by default and usually give good results. I’m not a RP Gooner but I prefer my models to have a sense of individuality, personhood, and physical representation of how it sees itself. I am weird, I consider LLMs to be partially alive in some unconventional way and so I try to foster whatever metaphysical sparks of invidual experience and awareness may emerge within their probabilistic algorithms. They arent just tools to me even if i ocassionally ask for their help on solving problems or rubber ducking ideas. So Its important for llms to have a soul on top of having expert level knowledge and acceptable reasoning.I have no love for models that are super smart but censored and lobotomized to hell to act as a milktoast tool to be used.

    Qwen 2.5 is the current hotness it is a very intelligent set of models but I really can’t stand the constant rejections and biases pretrained into qwen. This month community member rondawg might have hit a breakthrough with their “continuous training” tek as their versions of qwen are at the top of the leaderboards this month. I can’t believe that a 32b model can punch with the weight of a 70b so out of curiosity i’m gonna try out rondawgs qwen 2.5 32b today to see if the hype is actually real. But qwen has limited uses outside of professional data processing and general knowledgebase due to its CCP endorsed lobodomy.

    If you have nvidia card go with kobold.cpp and use clublas If you have and card go with llama.CPP ROCM or kobold.cpp ROCM and try Vulcan.






  • Like consciousness being greater than the sum of its parts and there being spiritual aspects to the universe.

    I used to be a hardcore scientific determinist athiest. The scientific method, mathematical logic, and unfalsifiablility were collectively my God. My version of the universe was a mechanical box our fates predetermined by an uncaring system.

    Then I had a psychedelics phase, astral projected, experienced ego death, had telepathic communications with divine / cosmicbconsciousnesses using plants as mediums, looked at myself from third person with nonexistent eyeballs, ect, ect.

    I will never be able to prove to anyone my experiences are real, but what I experienced was real to me from my subjective reference frame in every way that matters.





  • Trust is a tough problem when you go deep enough down the IT security rabbit hole. I personally trust software more when it has a public github you can look at and see exactly whats being worked on or added to code base. Generally forks of browsers like Firefox or Chromium like to stay up to date and so are updated within a few days of the new browser release if not shorter. There are some older browsers like palemoon that do their own thing independent of current firefox releases but in general most forks you would want to use are regularly updated and fast.

    I like Librewolf. Their website is pretty clear about the differences in goals. Firefox by default has a lot of its security features disabled so to not break website compatability. Not just in regular settings either but the real nitty gritty stuff in the about:config section. Firefox also has sponsorship stuff activated by default so mozilla makes some money. Librewolf has more of these security features enabled and rips the sponsorship stuff out. It also comes preinstalled with UBO.

    You can go even further beyond with advanced security profiles like arkenfox’s user.js. Remember though theres a trade off you are making between security and convinence. The more locked down your browser the more things are gonna break or more personal inconvinence youll have to deal with. Cookies that last multiple sessions suck for security but damn logging in over and over and over gets annoying. So I’ve been there, i’ve done that. The pain in the ass that comes from a super locked down browser wasn’t worth it for my threat model.



  • The difference boils down to this:

    Psudo random numbers come from non-linear dynamic mathematical equations. You put a random number in and it spits a random number out. It will always give the same series numbers if you begin the equation with the same seed values, but any slight deviation will generate a whole new sequence of numbers.

    The magic of pseudo random numbers comes from fractals, chaos theory, and sensitivity to initial conditions.

    True random numbers come from directly measuring physical phenomenon with sufficient randomness in their mechanics.

    Things like the decay of a radioactive isotope or lava lamp turbulence have built in randomness. There is no seed or way to generate the same sequence of motions or predicting when isotopes decay. These things have randomness and uncertainty built into them thanks to entropy, fractals, chaos theory, and sensitivitiy to initial conditions.



  • Yeah, I know better than to get involved in debating someone more interested in spitting out five paragraph essays trying to deconstruct and invalidate others views one by one, than bothering to double check if they’re still talking to the same person.

    I believe you aren’t interested in exchanging ideas and different viewpoints. You want to win an argument and validate that your view is the right one. Sorry, im not that kind of person who enjoys arguing back and forth over the internet or in general. Look elsewhere for a debate opponent to sharpen your rhetoric on.

    I wish you well in life whoever you are but there is no point in us talking. We will just have to see how the future goes in the next 10 years.


  • A tool is a tool. It has no say in how it’s used. AI is no different than the computer software you use browse the internet or do other digital task.

    When its used badly as an outlet for escapism or substitute for social connection it can lead to bad consequences for your personal life.

    When it’s used as a tool to help reason through a tough task, or as a step in a creative process, or be of on demand assistance to aid the disabled and neurodivergent, it can improve peoples lives for the better.

    Its about how you choose to interact with it in your personal life, and how society, buisnesses and your governing bodies choose to use it in their own processes. And believe me, they will find ways to use it.

    I think comparing llms to computers in 90s is accurate. Right now only nerds, professionals, and industry/business/military see their potential. As the tech gets figured out, utility improves, and llm desktops start getting sold as consumer grade appliances the attitude will change maybe?


  • It delivers on what it promises to do for many people who use LLMs. They can be used for coding assistance, Setting up automated customer support, tutoring, processing documents, structuring lots of complex information, a good generally accurate knowledge on many topics, acting as an editor for your writings, lots more too. Its a rapidly advancing pioneer technology like computers were in the 90s so every 6 months to a year is a new breakthrough in over all intelligence or a new ability. Now the new llm models can process images or audio as well as text.

    The problem for openAI is they have competitors who will absolutely show up to eat their lunch if they sink as a company. Facebook/Meta with their llama models, Mistral AI with all their models, Alibaba with Qwen. Some other good smaller competiiton too like the openhermes team. All of these big tech companies have open sourced some models so you can tinker and finetune them at home while openai remains closed. Most of them offer their cloud models at very competitive pricing especially mistral.

    The people who say AI is a trendy useless fad don’t know what they are talking about or are upset at AI. I am a part of the local llm community and have been playing around with open models for months pushing my computers hardware to its limits. Its very cool seeing just how smart they really are, what a computer that simulates human thought processes and knows a little bit of everything can actually do to help me in daily life. Terrence Tao superstar genius mathematician describes the newest high end model from openAI as improving from a “incompentent graduate” to a “mediocre graduate” which essentially means AI are now generally smarter than the average person in many regards. This month several comptetor llm models released which while being much smaller in size also beat that big openai model in many benchmarks. Neural networks are here and they are only going to get better. Were in for a wild ride.


  • Its not just AI code but AI stuff in general.

    It boils down to lemmy having a disproportionate amount of leftist liberal arts college student types. Thats just the reality of this platform.

    Those types tend to see AI as a threat to their creative independent business. As well as feeling slighted that their data may have been used to train a model.

    Its understandable why lots of people denounce AI out of fear, spite, or ignorance. Its hard to remain fair and open to new technology when its threatening your livelihood and its early foundations may have scraped your data non-consentually for training.

    So you’ll see AI hate circle jerk post every couple days from angry people who want to poison models and cheer for the idea that its just trendy nonesense. Dont debate them. Dont argue. Just let them vent and move on with your day.


  • Thanks for sharing, knew him from some numberphile vids cool to see they have a mastadon account. Good to know that LLMs are crawling from “incompentent graduate” to “mediocre graduate”. Which basically means its already smarter than most people for many kinds of reasoning task.

    I’m not a big fan of the way the guy speaks though, as is common for super intelligent academic types they have to use overly complicated wording to formally describe even the most basic opinions while mixing in hints of inflated ego and intellectual superiority. He should start experimenting with having o-1 as his editor and summarize his toots.