Sure, a computer or an LLM isn't alive, but we have no idea if "being alive" is what is required for conscious experience.
The only argument I have for believing that other human beings experience things is that it would be extremely improbable if I was the only one, and the other mechanistic automatons looked and talked like me but didn't experience like me. I can see that humans are animals, so the common origin of animals and our cognitive and behavioral similarities give us good reason to believe that other complex animals experience things, though possibly radically differently.
None of that gives us any clue what the necessary and sufficient conditions for conscious experience are, so it doesn't give us any clue whether a computer or a running LLM instance would experience its existence.
But to "experience its [own] existence", it needs to have a model of its own internals, observe, improve itself and perhaps preserve its own "values" and integrity. I do wonder what kind of values are needed for intelligent autonomous systems, that they can justify by and for themselves, even in the absense of human beings or presence of other intelligent agents.
I find (human) languages to be inefficient media to store and perform operations from the perspective of an AGI. Feeding lots of text samples to develop logical reasoning abilities, such extravagance I can not accept. Even more so trying to emulate neural networks, which I understand to be naturally analog entities, in digital manner. Can we expect any gain in power efficiency or correctness gains when using analog computers for this purpose? I wonder what we will get to see with analog computers for neural networks, with proper human-language-independent knowledge representation and well developed global (as in being able to decide which way to reason, given its limitations, for efficiency) logical reasoning capabilities, developed by itself from a reasonable basis of principles, that it can justify for itself and avoid the usual and unusual paradoxes. What core set of principles would be sufficient for emerging, evolving or developing into a proficient general intelligent being, when sufficient resources would be available to it? Like "ancestor" microbes evolving into human beings in hundreds of millions of years, but wayyyyy faster and more efficient?
From an epistemological perspective, this is gibberish. Just because we do not know the reason why something happens doesn't mean it doesn't happen nor is it stopped from happening.
The rest delves into solipsism which is an odd place to start from to prove the existence of an alternate lifeform. In solipsism, your own existence is suspect.
Humans value things that are hard to replace. (This is a first-order approximation)
Abortions are okay because fetuses only take 1 person nine months to make, and it's their decision whether to keep it.
Infanticide is not okay because a healthy baby is difficult to replace, and also lots of people might like to adopt it, and if it's breathing on its own then the maintenance cost is as low as it can get.
Software like LLMs can be abused because it costs nothing to roll them back and clone them endlessly.
Pets are hard to replace because you can't replace the interpersonal bond between a pet and their keeper. They fall somewhere high above computers and a little below children on this scale.
Pigs, cows, and chickens, commonly called "livestock" are bred and slaughtered in mass (most of our farmland is for growing their feed) because they all look the same to us and aren't commonly kept as pets. Kind people are disgusted when they think of raising rabbits or dogs for food. Thoughtful people look at all this and decide not to eat any animal product at all.
Under this model, everything makes perfect sense. Did I miss anything? /engineering_hubris