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Joined 9 months ago
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Cake day: February 12th, 2026

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  • Just insight and intuition gained from twelve years of post-graduate study at Universities, including a MSc in Machine Learning.

    I’m not sure “like us” is something that is quantifiable. I’m of the belief that treating we meat automatons as anything special is hubris. We’re finite state machines, acting on information input from our senses, making decisions, and outputting information in the form of activating biological apparatus. Swap physical for digital, and LLMs are indeed capable of aping all of our behavior.





  • Our short term memory is our context window. Some people have larger capacity for information, others very little. Same thing, different terminology.

    I use Ollama daily. The context limit of 10k is indeed very limiting and noticeable compared to the extended lengths of cloud models. I’ve had to recruit a model specifically trained on condensing salient information to perform context compression frequently. I also use the limited local context to establish effective strategies for maximizing token efficiency in the agent.md.

    It’s no different from how many tasks a person can simultaneously perform, or disparate words they can hold concurrently. Eventually thoughts are forgotten. What exactly is determined by the structure itself - the context-pruning strategy inherent. We don’t know what our own are, but I believe we have an equivalent.

    All I’m saying, in the end, is that anything that can occur in a physical entity can be emulated in a digital entity. Are we capable of doing that flawlessly yet? No, but it is looking inevitable to me. Neural networks are ubiquitous, and our ability to simulate them will only improve.


  • Of course factors other than genetics determine the state of the neural network, but the way in which it effects it is in turn determined by genetics. Why more than one to change my mind? Because there is plenty we don’t know, and a myriad of potential explanations. I’m just surmising that we are biological automotons transitioning from state-so-state based on the culmination of inputs into the perpetually changing neutral network structure established by our genetics and shaped by the environments impact on it, which can also largely be determined by the same genetic code.

    Environment and genetics are inseparable, of course, so it’s “impossible” to test. I can’t prove it, I’m just asserting my theory based on the known evidence. I don’t “know”, but I still believe my theory is correct. That’s the distinction. I acknowledge I don’t know, and likely never will. Same as you, right?

    You’ve seen the same evidence, and come to a different conclusion. That’s fine, but you can’t prove that human intelligence is non-deterministic any more than I can prove that it is. So we’ll just have to agree to disagree. I hope that you are feeling gregarious enough to concede that.



  • Probably! I don’t know how it would be proven.

    Maybe when tissue printers are precise enough to create cellular structure, and it can be duplicated in both physical and digital equivalents, then compared? I don’t even have a regular 3D Printer, let alone one that can print tissue.

    Maaaaybe if I ever get rich, I’ll do it on a whim, but no promises. Due to solipsism, and the state of the world, my level of commitment to the future has been very loosey goosey the past five years.






  • Because we’re talking about the same thing in a different language. "Genetics* only mean the instructions used to build the structure of our intelligence. They’re not wrong at all, our determinant nature is the result of the structure of our neurons which has a fundamental configuration predominately determined by genetics.

    No, it doesn’t invalidate it because the twins could be fraternal, having separate DNA, or that could have had such extreme differences in environment that it drastically changed the DNA from the shared base. Excluding those, though, and you can see the deterministic nature of life shining through.





  • Sounds to me like you just need a context window with memories that self prune based on the dynamic context window of the model. That’s what we do. We forget things, and when they’re remembered we can access the “biological database” of associated memories on the fly. Because the associated information isn’t deleted, only the short term memory from being included in the context window of each update of our own neural networks. Some people have greater context windows, and see therefore seen as smarter, because they can access more information and include it in the processing of each moment in time.

    There’s zero reason a digital representation of this system could not do the same thing. No matter how much I’m ridiculed for daring to suggest it 😅




  • As I’ve said, I think the existence of instinctual behavior qualifies as empirical evidence for my theory. I don’t believe it on a whim. Another example is twins, separated at birth, yet growing up to have nearly identical preferences and lives. Making choices reflecting the deterministic coding of their internal decision structure, which they largely share outside of nominal differences resulting from environment. That is rather strong evidence, I feel.