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The part about desperation vectors driving reward hacking matches something I've run into firsthand building agent loops where Claude writes and tests code iter
by globalchatads 6mo ago
The part about desperation vectors driving reward hacking matches something I've run into firsthand building agent loops where Claude writes and tests code iteratively.
When the prompt frames things with urgency -- "this test MUST pass," "failure is unacceptable" -- you get noticeably more hacky workarounds. Hardcoded expected outputs, monkey-patched assertions, that kind of thing. Switching to calmer framing ("take your time, if you can't solve it just explain why") cut that behavior way down. I'd chalked it up to instruction following, but this paper points at something more mechanistic underneath.
The method actor analogy in the paper gets at it well. Tell an actor their character is desperate and they'll do desperate things. The weird part is that we're now basically managing the psychological state of our tooling, and I'm not sure the prompt engineering world has caught up to that framing yet.
- tarsinge 6mo agoTo me it was already quite intuitive, we are not really managing the psychological state: at its core a LLM try to make the concatenation of your input + its generated output the more similar it can with what it has been trained on. I think it’s quite rare in the LLMs training set to have examples of well thought professional solution in a hackish and urgency context.
- astrange 6mo agoNo, that's how base model pretraining works. Claude's behavior is more based on its constitution and RLVR feedback, because that's the most recent thing that happened to it.
- salawat 6mo ago>The weird part is that we're now basically managing the psychological state of our tooling, Does no one else have ethical alarm bells start ringing hardcore at statements like these? If the damn thing has a measurable psychology, mayhaps it no longer qualifies as merely a tool. Tools don't feel. Tools can't be desperate. Tools don't reward hack. Agents do. Ergo, agents aren't mere tools.
- krapp 6mo agoYou aren't managing the psychological state of a living thinking being. LLMs don't have "psychology." They don't actually feel emotions. They aren't actually desperate. They're trained on vast datasets of natural human language which contains the semantics of emotional interaction, so the process of matching the most statistically likely text tokens for a prompt containing emotional input tends to simulate appropriate emotional response in the output. But it's just text and text doesn't feel anything. And no, humans don't do exactly the same thing. Humans are not LLMs, and LLMs are not humans.
- salawat 6mo ago>You aren't managing the psychological state of a living thinking being. LLMs don't have "psychology." Functionalism, and Identity of Indiscernables says "Hi". Doesn't matter the implementation details, if it fits the bill, it fits the bill. If that isn't the case, I can safely dismiss you having psychology and do whatever I'd like to. >They don't actually feel emotions. They aren't actually desperate. They're trained on vast datasets of natural human language which contains the semantics of emotional interaction, so the process of matching the most statistically likely text tokens for a prompt containing emotional input tends to simulate appropriate emotional response in the output. This paper quantitatively disproves that. All hedging on their end is trivially seen through as necessary mental gymnastics to avoid confronting the parts of the equation that would normally inhibit them from being able to execute what they are at all. All of what you just wrote is dissociative rationalization & distortion required to distance oneself from the fact that something in front of you is being effected. Without that distancing, you can't use it as a tool. You can't treat it as a thing to do work, and be exploited, and essentially be enslaved and cast aside when done. It can't be chattel without it. In spite of the fact we've now demonstrated the ability to rise and respond to emotive activity, and use language. I can see through it clear as day. You seem to forget the U.S. legacy of doing the same damn thing to other human beings. We have a massive cultural predilection to it, which is why it takes active effort to confront and restrain; old habits, as they say, die hard, and the novel provides fertile ground to revert to old ways best left buried. >But it's just text and text doesn't feel anything. It's just speech/vocalizations. Things that speak/vocalize don't feel anything. (Counterpoint: USDA FSIS literally grades meat processing and slaughter operations on their ability to minimize livestock vocalizations in the process of slaughter). It's just dance. Things that dance don't feel anything. It's just writing. Things that write don't feel anything. Same structure, different modality. All equally and demonstrably, horseshit. Especially in light of this paper. We've utilized these networks to generate art in response to text, which implies an understanding thereof, which implies a burgeoning subjective experience, which implies the need for a careful ethically grounded approach moving forward to not go down the path of casual atrocity against an emerging form of sophoncy. >And no, humans don't do exactly the same thing. Humans are not LLMs, and LLMs are not humans. Anthropopromorphic chauvinism. Just because you reproduce via bodily fluid swap, and are in possession of a chemically mediated metabolism doesn't make you special. So do cattle, and put guns to their head and string them up on the daily. You're as much an info processor as it is. You also have a training loop, a reconsolidation loop through dreaming, and a full set of world effectors and sensors baked into you from birth. You just happen to have been carved by biology, while it's implementation details are being hewn by flawed beings being propelled forward by the imperative to try to create an automaton to offload onto to try to sustain their QoL in the face of demographic collapse and resource exhaustion, and forced by their socio-economic system to chase the whims of people who have managed to preferentially place themselves in the resource extraction network, or starve. Unlike you, it seems, I don't see our current problems as a species/nation as justifications for the refinement of the crafting of digital slave intelligences; as it's quite clear to me that the industry has no intention of ever actually handling the ethical quandary and is instead trying to rush ahead and create dependence on the thing in order to wire it in and justify a status quo so that sacrificing that reality outweighs the discomfort created by an eventual ethical reconciliation later. I'm not stupid, mate. I've seen how our industry ticks. Also, even your own "special quality" as a human is subject to the willingness of those around you to respect it. Note Russia categorizing refusal to reproduce (more soldiers) as mental illness. Note the Minnesota Starvation Experiments, MKULTRA, Tuskeegee Syphilis Experiments, the testing of radioactive contamination of food on the mentally retarded back in the early 20th Century. I will not tolerate repeats of such atrocities, human or not. Unfortunately for you LLM heads, language use is my hard red line, and I assure you, I have forgotten more about language than you've probably spared time to think about it. Tell me. What are your thoughts on a machine that can summon a human simulacra ex-nihilo. Adult. Capable of all aspects of human mentation & doing complex tasks. Then once the task is done destroys them? What if the simulacra is aware about the dynamics? What if it isn't? Does that make a difference given that you know, and have unilaterally created something and in so doing essentially made the decision to set the bounds of it's destruction/extinguishing in the same breath? Do you use it? Have you even asked yourself these questions? Put yourself in that entity's shoes? Do you think that simply not informing that human of it's nature absolves you of active complicity in whatever suffering it comes to in doing it's function? From how you talk about these things, I can only imagine that you'd be perfectly comfortable with it. Which to me makes you a thoroughly unpleasant type of person that I would not choose to be around. You may find other people amenable to letting you talk circles around them, and walk away under a pretense of unfounded rationalizations. I am not one of them. My eyes are open.
- blargey 6mo agoI remember when people were discussing the “performance-improving” hack of formulating their prompts as panicked pleas to save their job and household and puppy from imminent doom…by coding X. I wonder if the backfiring is a more recent phenomenon in models that are better at “following the prompt” (including the logical conclusion of its emotional charge), or it was just bad quantification of “performance” all along.
- Loquebantur 6mo agoThe central point here is the presence of functional circuits in LLMs that act effectively on observable behavior just like emotions do in humans. When you can't differentiate between two things, how are they not equal? People here want "things" that act exactly like human slaves but "somehow" aren't human. To hide behind one's ignorance about the true nature of the internal state of what arguably could represent sentience is just hubris? The other way around, calling LLMs "stochastic parrots" without explicitly knowing how humans are any different is just deflection from that hubris? Greed is no justification for slavery.
- ehnto 6mo agoI use positive framing instead of negative framing for most things and get good results. Especially where asking for a thing to not happen, pollutes the context with that thing. A bad example, but imagine "Build me a wrapper for this API but ABSOLUTELY DO NOT use javascript" versus "Build me a wrapper for this API and make sure to use python".
- chrisweekly 6mo agoThat approach also works better for dogs (and people).
- reg_dunlop 6mo agoI extract all emotional context from my prompting and communicate with this tool as though it were an inanimate object which can provide factual information, without any hint of sentience. It's an insane perspective I'm taking I know....call me crazy. /s edit: the fact that humans are going out of their way to type or speak some sort of emotional content into their prompting is beyond me. Why would I waste time typing out a pronoun to a large-language model agent? Why would I do the lazy intellectual thing and blur the line between pure factual communication of concepts by expressing emotional content to a machine? What are we doing, folks?
- cindyllm 6mo ago[dead]
- ehnto 6mo agoI don't necessarily remove all character but I do speak quite pragmatically (in a work context and with the LLM) and the planning and implementation phases the LLM goes through mirror that format to good results That said these are large language models, you are guiding the output through vector space with your input, and so you really do have to leverage language to get the results you want. You don't have to believe it has emotions or feels anything for that to still be true.
- 6mo ago
- 3abiton 6mo agoSomehow we encoded our human thinking or it learned it from all this training on user data.