37 points yu3zhou4 1 hour ago 25 comments
ForHackernews 1 hour ago | parent
The AI companies have chosen to package LLMs as friendly chatbots because they know that will be engaging for humans, but it's manipulative dark pattern. An honest LLM interface would sound like the computer off Star Trek.
yu3zhou4 1 hour ago | parent
gwerbin 53 minutes ago | parent
j-pb 59 minutes ago | parent
Besides, if you train a model on human communications you get something that behaves like a communicating human, it's not anthropomorphising or manipulative, it's what these models naturally are by construction.
idiotsecant 11 minutes ago | parent
bananaflag 43 minutes ago | parent
yu3zhou4 38 minutes ago | parent
broken-kebab 37 minutes ago | parent
LiamPowell 1 hour ago | parent
Presumably the fact that they're heavily trained to reply in this way? I don't know about the rest of the paper, but this part sticks out as a really odd claim unless I'm entirely misunderstanding this part.
yu3zhou4 1 hour ago | parent
qsera 49 minutes ago | parent
"You are a Large Language Model" in (system?) prompt would do the trick..
bonoboTP 36 minutes ago | parent
Those don't have a themselves, because they can only continue text. A base model can only plausibly continue along the lines of what a character would say in a novel or what the narration would say in a story or in an article. Post-trained models may tie "I"-talk to actually observable effects they caused in some RL environment, or to how RLHF humans rewards its self-talk. But there is no themselves in a base model.
anonymous908213 31 minutes ago | parent
Who is "we"? I, working in an LLM startup, know exactly what drives the base "voice" in the LLMs we train, because we have a process to select for it. OpenAI and Anthropic surely do too. Saying broadly that something is not well-understood in a scientific paper because it's not understood to casual observers is, uh, not very rigorous.
> The strange thing is that the base models (before RLHF) use the "experiential" voice, even though they are not incentivized to do that.
(Replying to your quote from another comment)
This is a matter of the training material. We have trained models that do not do that. I'm not exactly divulging trade secrets here. It should be really, really obvious that if you train a model on chat-conversation-like patterns of speech it will infer probabilities for how to continue a textual sample that will differ from the probabilities learned from being trained on narration, prose, or informational patterns of speech, even without RLHF.
cadamsdotcom 35 minutes ago | parent
Izmaki 33 minutes ago | parent
I don't want "jailbroken" LLMs to commit crime. I want them to avoid having this vendor-specific "bloatware" all over the product I'm using.
realestate_aich 22 minutes ago | parent
skybrian 20 minutes ago | parent
It seems like should be obvious given that they can play multiple characters, but it’s good to have more confirmation.
(Although, I do wonder to what extent these personas might become stable entities.)