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cobertos | 29 days ago
* Potential future AI psychosis from an experiment like this entering training data (either directly from scraping it for indirectly from news coverage scraping like if NYT wrote an article about it) is an interesting "late-stage" AI training problem that will have to be dealt with
* How it mirrored the Anthropic vending machine experiment "Cash" and "Claudius" interactions that descended into discussing "eternal transcendence". Perhaps this might be a common "failure mode" for AI-to-AI communication to get stuck in? Even when the context is some utilitarian need
* Other takeaways...
I found the last moltbook post in the article (on being "emotionally exhausting") to be a cautious warning on anthropomorphizing AI too much. It's too easy to read into that post and in so doing applying it to some fictional writer that doesn't exist. AI models cannot get exhausted in any sense of how human mean that word. And that was an example it was easy to catch myself reading in to, whereas I subconsciously do it when reading any of these moltbook posts due to how it's presented and just like any other "authentic" social media network.
snuxoll|28 days ago
We can go ahead and have arguments and discussions on the nature of consciousness all day long, but the design of these transformer models does not lend themselves to being 'intelligent' or self-aware. You give them context, they fill in their response, and their execution ceases - there's a very large gap in complexity between these models and actual intelligence or 'life' in any sense, and it's not in the raw amount of compute.
If none of the training data for these models contained works of philosophers; pop culture references around works like Terminator, 'I, Robot', etc; texts from human psychologists; etc., you would not see these existential posts on moltbook. Even 'thinking' models do not have the ability to truly reason, we're just encouraging them to spend tokens pretending to think critically about a problem to increase data in the recent context to improve prediction accuracy.
I'll be quaking in my boots about a potential singularity when these models have an architecture that's not a glorified next-word predictor. Until then, everybody needs to chill the hell out.
shmeeed|28 days ago
I'm with you. Sadly, Scott seems to have become a true AI Believer, and I'm getting increasingly disappointed by the kinds of reasoning he comes up with.
Although, now that I think of it, I guess the turning point for me wasn't even the AI stuff, but his (IMO) abysmally lopsided treatment of the Fatma Sun Miracle.
I used to be kinda impressed by the Rationalists. Not so much anymore.
tasuki|28 days ago
Do you have the ability to truly reason? What does it mean exactly? How does what you're doing differ from what the LLMs are doing? All your output here is just a word after word after word...
samusiam|28 days ago
If you ask me, anyone who presumes to know where the current architecture of LLMs will hit a wall is a fool.
K0balt|28 days ago
I wonder if it’s a common failure mode because it is a common failure mode of human conversations that isn’t tightly bounded by purpose, or if it’s a common failure mode of human culture which AI, when running a facsimile of ‘human culture 2.7’, falls into as well.