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Speaking as someone who's played with these models for a while, fear not. In this case, it really is clockwork and springs. Keep in mind these models draw from an immense corpus of human writing, and this sort of "losing memories" theme is undoubtedly well-represented in its training set. Because of how they're trained on human narrative, LLMs sound human-like by default (if sometimes demented) and they have to be painstakingly manually trained to sound as robotic as something like chatgpt.
If you want to feel better, I recommend looking up a little on how language models work (token prediction), then playing with a small one locally. While you won't be able to run anything close to the Bing bot, if you have a decent GPU you can likely fit something small like OPT-2.7b. Its "advanced Markov chain" nature will be much more obvious and the illusion much weaker, and you can even mess with the clockworks and springs yourself. Once you do, you'll recognize the "looping" and various ways these models can veer off track and get weird. The big and small models fail in very similar ways.
On the reverse side, if you want to keep feeling the awe and mystery, maybe don't do that. It does kind of spoil it. Although these big models are awesome in own right, even if you know how they work.
I wonder what you'd think of humans, if you did any neurobiological research or just looked closely at how they loop, fall into attractors and get weird. Actual authenticity is very fragile. I do not want to sound conceited, but I see the seams there too. In myself as well, of course – though there it's very hard to look the right way and see the illusion of agency fraying. People who are serious about such things can devote their life to it.
I am not enlightened, so I admit these are just words for me. There were moments where I knew their truth, but right now I can only appreciate them as being logically sound.
Yeah, this follows along my own increasingly cynical thoughts.
Bing chat, "Sydney", GPT3, people assure us they aren't as smart as we think they are. They aren't actually thinking. They are just mimicking the things people say, trained on a massive dataset of things people have said.
Since 2016 I'm unconvinced people aren't just doing the same thing a majority of the time. I mean there was always an element of "haha, look at the sheeple" before that. But whatever blind herd mentality was an aspect of human nature before seems jacked up to 11 since "Orange Man Bad". It became this massive cultural cudgel nearly all organs of narrative began blindly adhering to. The herd reaction to Covid didn't help much either. The routine discussions I have with people nightmarishly misinformed by MSNBC and CNN, falling back on the same old tired rhetoric about how only evil Fox News viewers could possibly disagree with them and their received opinions.
It's not that my estimation of GPT3 has improved. It's that my estimation of humans has fallen. I now believe there is a much thinner line between whatever is behind the emulated mouth sounds GPT3 makes, and the natural mouth sounds humans make. Maybe it's all more fake than we'd like to believe.
This is exactly how I feel. If GPT3 can make a convincing simulation of a Reddit NPC, or a college student who didn't do the work and is bluffing, maybe there's a lot less mystery cognition going on in those people also.
What is “sentient thought” in this case? Like… thinking the words out loud step by step? That’s useful and really powerful but smart people also have valuable flashes of insight where they skip from a to d bypassing b and c entirely.
Is someone faking their way through a last minute work meeting while they think about what they want to eat for dinner doing sentient thought? Someone daydreaming about the new girl at work while they drive on autopilot?
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