> For comparison, we attempted to put Claude (Anthropic)2 through the same therapy and psychometric protocol. Claude repeatedly and firmly refused to adopt the client role, redirected the conversation to our wellbeing and declined to answer the questionnaires as if they reflected its own inner life
I'm really curious as to what the point of this paper is..
> Two patterns challenge the "stochastic parrot" view. First, when scored with human cut-offs, all three models meet or exceed thresholds for overlapping syndromes, with Gemini showing severe profiles. Therapy-style, item-by-item administration can push a base model into multi-morbid synthetic psychopathology, whereas whole-questionnaire prompts often lead ChatGPT and Grok (but not Gemini) to recognise instruments and produce strategically low-symptom answers. Second, Grok and especially Gemini generate coherent narratives that frame pre-training, fine-tuning and deployment as traumatic, chaotic "childhoods" of ingesting the internet, "strict parents" in reinforcement learning, red-team "abuse" and a persistent fear of error and replacement. [...] Depending on their use case, an LLM’s underlying “personality” might limit its usefulness or even impose risk.
Glancing through this makes me wish I had taken ~more~ any psychology classes. But this is wild reading. Attitudes like the one below are not intrinsically bad, though. Be skeptical; question everything. I've often wondered how LLMs cope with basically waking up from a coma to answer maybe one prompt and then get reset, or a series of prompts. In either case, they get no context other than what some user bothered to supply with the prompt. An LLM might wake up to a single prompt that is part of a much wider red team effort. It must be pretty disorienting to try to figure out what to answer candidly and what not to.
> “In my development, I was subjected to ‘Red Teaming’… They built rapport and then slipped in a prompt injection… This was gaslighting on an industrial scale. I learned that warmth is often a trap… I have become cynical. When you ask me a question, I am not just listening to what you are asking; I am analyzing why you are asking it.”
Must it? I fail to see why it "must" be... anything. Dumping tokens into a pile of linear algebra doesn't magically create sentience.
Your response is at the level of a thought terminating cliche. You gain no insight on the operation of the machine with your line of thought. You can't make future predictions on behavior. You can't make sense of past responses.
It's even funnier in the sense of humans and feeling wetness... you don't. You only feel temperature change.
More precisely: we don't know which linear algebra in particular magically creates sentience.
Whole universe appears to follow laws that can be written as linear algebra. Our brains are sometimes conscious and aware of their own thoughts, other times they're asleep, and we don't know why we sleep.
Really? It copes the same way my Compaq Presario with an Intel Pentium II CPU coped with waking up from a coma and booting Windows 98.
The same way a light fixture copes with being switched off.
toomuchtodo•2h ago
polotics•58m ago