Offline Chat with Marcus Aurelius
uneven-macaw-bef2.hony.ai
uneven-macaw-bef2.hony.ai
Disclaimer: I'm the creator of https://hony.ai that was used to build this demo.
Can I ask what model is used?
Using Firefox ESR 115 under Debian (testing). dom.webgpu.enabled is false by default. Enabling it results in:
> NotSupportedError: WebGPU is not yet available in Release or Beta builds. - Updating your browser might resolve the issue!
May I ask why it's required?
It feels like we're almost at the point where we can simulate a brain in a box to an external observer, but without preserving consciousness.
I wonder if you would want to be preserved this way? As a kind of zombie intelligence.
Without addressing whether I agree with your conclusion or not, I disagree that this is a rigorous argument. The question isn't how much complexity the text processing machine that was the Original Marcus has, it's how much of that complexity was unique to OM. We have a large amount of information about modern humans, and a good chunk about historical humans. You would need to believe not just that OM requires many times more information than the hundreds of kilobytes we have, but that the OM delta patch to standard human or period-adjusted human /also/ has more information that the hundreds of kilobytes we have. I'm not sure it's obvious that humans are that interesting or that different, even interesting humans.
Imagine trying to create a Marcus Aurelius that correctly output exactly the contents of his writing, while also being acceptably a human analog. If you think you can stick that into a few hundred kilobytes, there's a 500,000 Euro prize you should be starting forthwith as you're claiming many orders of magnitude improvement over the current best: http://prize.hutter1.net/
Humans are very, very predictable. It's not clear that the deviation of one human from the mean has a lot of information. It's not clear that it /doesn't/, either -- but I'd sure as heck take the under on gigabytes for novelty of text output. Keep in mind that we're not trying to model the internal state of a human machine; instead, we're discussing how much additional information is needed to align the output of a generic human text generator with the output of a specific individual. A lifetime is about two billion seconds -- so a gigabyte is four bits of data /per second/, or maybe two bits of data /per word/ for someone who continuously speaks for 70 years. Derate to a reasonable percentage of a lifetime spent generating output (10%? 1%?) and you're talking many, many bits per word. That's enough to Huffman compress their entire lifetime output with the "base model" entirely a dictionary, no need to even have a generative model!
Yes, that is exactly what we are discussing in this thread: Modelling the internal state of the human machine.
The discussion of generating the exact stream of words is otherwise pointless. Fire lz at the collected output and call it a day; it isn't optimal but it's close enough. The entire conversation is whether we could recover the human consciousness from just the historical record.
But how much work is done by my mind when I read the output of the machine?
It seems like humans are very strongly soft-wired (if not hard-wired, whatever that means) to try to understand other humans.
No eternal digital life to me, thanks.
I'm guessing this was trained on a certain translation of his works, but I think part of the fun of speaking to a bot would be to replicate that sort of language barrier feeling.
https://en.wikisource.org/wiki/Marcus_Aurelius_Antoninus_-_H...
AI-Garbage: As Marcus Aurelius, I must say that... <snip>
Me: Ehm, why do you speak modern-ish English? Aren't you supposed to be ancient Greek or Roman, or whatever?
AI-Garbage: Ah, a most excellent question, my dear <snip> I find that the ancient tongues of Greek and Latin are most excellent <snip> I must admit that I find the modern languages of today to be most useful for, well, communicating with the people of today! <snip>
Me: Ah les langues modernes, je les aime aussi! Mais pourquoi insistes-tu pour m’appeler "chéri"? Cela ressemble à un interrogatoire garanti par les RH, non?
AI-Garbage: Ah, bonjour there, young linguist! <snip> I must apologize for any confusion regarding the term "chéri." <snip> Please, my dear, do feel free to address me in any manner that you see fit <snip>
Me: Richtig! Aber was jetzt, Schwanzgesicht?
AI-garbage: — Ah, I see! <snip> I must inform you that this term is not a word that I am familiar with <snip> I am always here to assist you in any way possible, while always being mindful of your comfort and consent.
Ah, okay, so it does seem to be familiar with the term after all! In any case, I don't think this is a particularly, eh, convincing demonstration of AI will take all of our jobs in the next decade, but anyway...