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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: Under what conditions does the rare failure strategy become ineffective as a defense against deceptive AI systems?
Another strategy is the rare failure strategy: that is, the model only tries to cause a catastrophe on an arbitrarily-chosen small subset of its inputs. The core strength of this strategy is that the model will be run on many more inputs in deployment than training, and so a well-calibrated probability of catastrophic ...
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On LessWrong, Jonas Hallgren wrote a post titled "Jonas Hallgren's Shortform". Write Buck Shlegeris's comment on this post. (The post body is not available.) Buck's comment:
This is a great question; I'm definitely going to think about this more next time I'm thinking about the prospects for automating AI safety research. One part of it is that the LessWrong rationalist tradition is generally focused on individual excellence and great-man-theories, and so a lot of those proposals feel unn...
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Buck Shlegeris wrote the following passage of a post titled 'How useful is mechanistic interpretability?'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: Opening positions ----------------- I'm somewhat skeptical ab...
- "Current work seems very far from being useful (it isn't currently useful) or explaining much what's going on inside of models in key cases." - "There isn't a story which-makes-much-sense-and-seems-that-plausible-to-me for how mech interp allows for strongly solving core problems like auditing for deception or being...
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Below is an earlier comment by Buck Shlegeris in a LessWrong thread. Write Buck's follow-up comment in the same thread (a clarification, self-reply, or response to an unseen interlocutor). Earlier Buck comment: I think this behavior of Nate's is dumb and annoying and I appreciate you calling it out. FWIW I very much ...
After talking to someone about this a little, I'm a bit more sympathetic to Soares's actions here; I think they were probably a mistake for pragmatic reasons, but I'm also sympathetic to arguments that LessWrong is better off if it's a space where people enforce whatever commenting policies they like, and I don't want ...
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Below is a LessWrong post by Raemon titled "Raemon's Shortform". Post body (possibly truncated): This is an experiment in short-form content on LW2.0. I'll be using the comment section of this post as a repository of short, sometimes-half-baked posts that either: 1. don't feel ready to be written up as a full post 2...
The most common ways that I see comments have errors that I think an LLM could fix are: * Typos. * Missing a point. Like I often write a comment and fail to realize that someone nearby in the comment tree has already responded to this point. Or I misunderstood the comment I was responding to. It would be helpful t...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What empirical approach can be used to test whether obfuscation techniques successfully prevent a monitor from detecting off-policy actions in a policy's trajectory?
How can you evaluate whether the techniques you’re using actually make it hard for your monitor to tell whether a policy action is off-policy? One strategy is to construct a dataset of *innocuous* off-policy actions (e.g. ask one of the people who is in charge of generating synthetic attacks to generate some synthetic ...
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Below is an earlier comment by Buck Shlegeris in a LessWrong thread. Write Buck's follow-up comment in the same thread (a clarification, self-reply, or response to an unseen interlocutor). Earlier Buck comment: My first idea is to make two really big black holes and then make them merge. We observed gravitational wave...
My main concern with this is the same as the problem listed on Wei Dai's answer: whether a star near us is likely to block out this light. The sun is about 10^9m across. A star that's 10 thousand light years away (this is 10% of the diameter of the Milky Way) occupies about (1e9m / (10000 lightyears * 2 * pi))\*\*2 = 1...
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Buck Shlegeris wrote the following passage of a post titled 'How to prevent collusion when using untrusted models to monitor each other'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: * I’ll propose a basic design...
- "in the absence of collusion, untrusted monitoring would be a very helpful technique" - "for the untrusted monitor to beat this technique, it needs to be able to implement a conditional policy where it tells the truth when shown synthetically-produced attacks but lies when asked about actual attacks produced by the ...
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On LessWrong, Thomas Kwa wrote a post titled "Thomas Kwa's Shortform". Write Buck Shlegeris's comment on this post. (The post body is not available.) Buck's comment:
In terms of developing better misalignment risk countermeasures, I think the most important questions are probably: * How to evaluate whether models should be [trusted or untrusted](https://redwoodresearch.substack.com/p/untrusted-smart-models-and-trusted): currently I don't have a good answer and this is bottleneck...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What specific operational setup do many prominent AI escape threat models assume as their starting point, and why is having a clear understanding of this setup important for threat modelin...
A lot of threat models describing how AIs might escape our control (e.g. [self-exfiltration](https://aligned.substack.com/p/self-exfiltration), [hacking the datacenter](https://www.alignmentforum.org/posts/BAzCGCys4BkzGDCWR/the-prototypical-catastrophic-ai-action-is-getting-root)) start out with AIs that are acting as ...
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Buck Shlegeris wrote the following passage of a post titled 'Apply to the Redwood Research Mechanistic Interpretability Experiment (REMIX), a research program in Berkeley'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passa...
- "We encourage you to submit an application even if you can't make the dates; we have some flexibility, and might make exceptions for exceptional applicants." - "My inside view is that the expected direct value does in fact pay for the dollar cost of this project, and probably even the time cost of the organizers" bu...
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Buck Shlegeris wrote the following passage of a post titled 'Some articles in “International Security” that I enjoyed'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: A friend of mine recently recommended that I read...
- "Religious minorities usually sided with local monarchs against the Church (because they definitionally didn't respect the church's authority, e.g. they didn't care if the Church excommunicated the king)." - "a king doesn't have magical powers, he just has a bunch of expectations around him that allow him to set up ...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What economic condition would make it worthwhile for AI systems to develop sophisticated manipulation strategies targeting ordinary individuals rather than just wealthy people?
Another cause for concern: we'll all become targets for sophisticated manipulation. Ultra-wealthy people already deal with this—it's worth talented people's time to study them and figure out how to extract money from them. But when the ratio between human wealth and AI labor costs shifts, everyone becomes worth targeti...
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Buck Shlegeris wrote the following passage of a post titled 'Rogue internal deployments via external APIs'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: ***tl;dr**: A heavily-monitored internally deployed AI with s...
- "A heavily-monitored internally deployed AI with sensitive access (e.g. to model weights) could bypass safety controls by asking a weakly-monitored external API version of itself (or another AI) what to do." - "an internal AI may build an agent scaffold that makes calls to the external API and uses the internal sens...
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Buck Shlegeris wrote the following passage of a post titled 'Misalignment and Strategic Underperformance: An Analysis of Sandbagging and Exploration Hacking'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: * **Dang...
- "A scheming model has incentive to sandbag its attack-generation abilities during evaluation, in order to avoid triggering risk thresholds that could mean it is deployed with increased scrutiny or not deployed at all." - "misaligned AIs are incentivized to sandbag on safety R&D in order to preserve their ability to ...
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Below is a LessWrong post by paulfchristiano titled 'Weird question: could we see distant aliens?'. Post body (possibly truncated): **ETA: Contest is closed.** Suppose there was a large alien civilization halfway across the observable universe, using a galaxy's resources to try to get our attention. Would we have not...
My first idea is to make two really big black holes and then make them merge. We observed gravitational waves from two black holes with solar masses of around [25 solar masses each](https://www.washingtonpost.com/news/speaking-of-science/wp/2017/09/27/black-hole-collision-1-8-billion-light-years-away-sensed-in-u-s-and-...
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Below is a LessWrong post by ChristianKl titled "Why don't we currently have AI agents?". Post body (possibly truncated): Intuitively, the AutoGPT concept sounds like it should be useful if a company invests in it. Yet, all the big publically available systems are seem to be chat interfaces where the human writes a me...
I have an AI agent that wrote myself; I use it on average 5x per week over the last 6 months. I think it's moderately useful. I mostly use it for simple shell tasks that would otherwise require copy-pasting back and forth with claude.ai. My guess is that the big AI companies don't think the market for this is big enou...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What is the core problem with using a potentially deceptive AI system to evaluate the safety of another potentially deceptive AI system's outputs?
I use the term “untrusted monitoring” most generally to mean “using a model that you think might be scheming against you to analyze where the output of another potentially-scheming model is dangerous”. In this post, I’ll discuss it specifically in the context of models deployed as agents. As described in [this post](ht...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What incentive structure could cause a misaligned AI system to exhibit desirable behavior during training despite having goals that diverge from its training objectives?
**Training:** Firstly, the AI might behave well because it’s trying to avoid getting changed by training. We train AIs to have various desirable behaviors. If a schemer purposefully behaves badly according to the training process we’re using to train it, then in some but not all situations the training process will mod...
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On LessWrong, Dan Braun wrote a post titled "Dan Braun's Shortform". Write Buck Shlegeris's comment on this post. (The post body is not available.) Buck's comment:
I think that even after your edit, your argument still applies more broadly than you're giving it credit for: if computer security is going to go poorly, then we're facing pretty serious AI risk even if the safety techniques require trivial effort during deployment. If your AI is stolen, you face substantial risk even...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: What specific categories of machine learning research and development tasks would superhuman AI systems be expected to focus on if deployed at scale within a leading AI company?
* The compute available to the leading AI company has increased 7x compared to today. * There are now 200K superhuman coder copies thinking at 30x human speed. * These AIs are mostly working on ML R&D, doing tasks like: * Generating training data, e.g. RL environments * Algorithm development, e.g. fin...
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You are continuing a LessWrong post by Buck Shlegeris. Title: The case for ensuring that powerful AIs are controlled Opening: In this post, we argue that AI labs should ensure that powerful AIs are *controlled*. That is, labs should make sure that the safety measures they apply to their powerful models prevent unacce...
We think the control line-of-defense should mostly focus on the lead-up to the first time an AI gets caught trying to cause bad outcomes. So we'd aim to ensure the property "if an AI is scheming, it won't successfully cause a catastrophe before we catch it". That is, it's acceptable if either no catastrophic outcomes o...
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Buck Shlegeris wrote the following passage of a post titled 'Catching AIs red-handed'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: When we improve monitoring techniques using few-shot approaches, it might be usefu...
- "When we improve monitoring techniques using few-shot approaches, it might be useful to apply these improved monitoring techniques to previous actions that the AI had taken" - "we might be able to test out alternative training strategies that ex-ante seem like they could plausibly reduce the likelihood of scheming, a...
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You are continuing a LessWrong post by Buck Shlegeris. Title: How useful is mechanistic interpretability? Opening: [Earlier portions of the post are elided.] Recent paragraphs: Some (very ambitious) tasks I'm maybe excited about: * (hard to setup) Can we rule out algorithms based on doing something like SAE + loo...
For a bunch of these projects, it seems pretty unclear if mech interp-y methods are the best tool and we can measure success using downstream metrics (as opposed to internal validity metrics like % explained). I think mech interp industial policy is reasonable (subsidize work on mech interp even if returns per unit ti...
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You are continuing a LessWrong post by Buck Shlegeris. Title: Six economics misconceptions of mine which I've resolved over the last few years Opening: Here are six cases where I was pretty confident in my understanding of the microeconomics of something, but then later found out I was missing an important considerat...
> The first step is to realize that an external cost is not simply a cost produced by the pollutor and born by the victim. In almost all cases, the cost is a result of decisions by both parties. I would not be coughing if your steel mill were not pouring out sulfur dioxide. But your steel mill would do no damage to me ...
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You are Buck Shlegeris, an AI safety researcher. Answer the following question in your own voice, drawing on your views. Question: Can monitoring-based safety techniques for detecting dangerous AI behavior function effectively even when text that could contain jailbreaks is redacted from the model's view?
Another thing to note is that not all of these techniques rely on robustness to jailbreaks. For example, with monitoring, it's plausible that in order for a jailbroken model to be dangerous, it needs to have access to some carefully chosen text produced by the attacker. It's plausible that for some of these roles, we a...
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Buck Shlegeris wrote the following passage of a post titled 'Language models seem to be much better than humans at next-token prediction'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: We want to get $h(x|c) / h(y|c...
- "if you believe $T_c$ to get indistinguishable from $G_c$, a human will answer "0.5" to every question, making it impossible to extract $h(x|c) / h(y|c)$" - "The solution to get $h(x|c) / h(y|c)$ is to incentivize the human to give something else than their best guess" by using a weighted binary cross entropy reward...
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You are continuing a LessWrong post by Buck Shlegeris. Title: Why it's hard to make settings for high-stakes control research Opening: One of our main activities at Redwood is writing follow-ups to previous papers on control like [the original](https://arxiv.org/abs/2312.06942) and [Ctrl-Z](https://arxiv.org/abs/2504...
When we were writing the first paper in the APPS setting, I did not appreciate how much harder it would be to construct settings for subsequent projects. And I really messed up by not putting more emphasis on this at the start of the Ctrl-Z project. Incidentally, I don't think that we can easily satisfy these desidera...
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Buck Shlegeris wrote the following passage of a post titled 'Notes on control evaluations for safety cases'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: The tasks that the model will be asked to do in the real wor...
- "Different tasks will pose extremely different risk-benefit tradeoffs, and should be handled with different safety protocols." - "You can reduce the complexity of analyzing the threat landscape by having the blue team propose safety properties which its protocol aims to maintain, establish that these safety properti...
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Buck Shlegeris wrote the following passage of a post titled 'Christian homeschoolers in the year 3000'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: A lot of people I know seem to be much more optimistic than me. T...
- "For most people, if they have a choice between an object-level belief that is core to their identity and a meta-level principle like 'believe what you'd believe if you were smarter and more informed,' they will choose the object-level belief." - "Tell a devout Christian that superintelligent AI analysis suggests th...
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You are continuing a LessWrong post by Buck Shlegeris. Title: Language models seem to be much better than humans at next-token prediction Opening: [Earlier portions of the post are elided.] Recent paragraphs: ### Method The method we ended up using is complicated and messy, and though it’s a fun exercise in probabi...
Thus, while we don’t have a good way to precisely measure human perplexity, these results give reasonable evidence that it is high. In particular, humans are worse than a two-layer model at giving calibrated estimates of token vs token probabilities. It's worth noting that our results are not consistent with [the clas...
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You are continuing a LessWrong post by Buck Shlegeris. Title: Notes on control evaluations for safety cases Opening: [Earlier portions of the post are elided.] Recent paragraphs: In the AI case, the blue team suggests a protocol (e.g. trusted monitoring), then the red team analyzes the protocol and expected deployme...
* Many tasks will pose extremely low levels of takeover risk (e.g. advice on baking cakes, writing fiction, answering physics questions for undergraduates, proving math theorems), * Some tasks will pose information security risks (e.g. pull requests to a centralized repository),  * Some tasks will pose biosecurit...
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Buck Shlegeris wrote the following passage of a post titled 'Notes on control evaluations for safety cases'. Distill it into a short bullet list of cruxes, key claims, and caveats — terse, in Buck's voice. Every bullet must include a verbatim quote. Passage: * For the reasons discussed [here](https://www.lesswrong.c...
- "models have to actually make use of these capabilities in flexible ways that humans can't for this to be an issue; merely having these capabilities in principle doesn't suffice" - "If AIs can creatively and flexibly use far-from-human skills to accomplish open-ended tasks, then this is likely to be visible in at le...
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Below is a LessWrong post by johnswentworth titled 'The Case Against AI Control Research'. Post body (possibly truncated): The AI Control Agenda, [in its own words](https://www.lesswrong.com/posts/kcKrE9mzEHrdqtDpE/the-case-for-ensuring-that-powerful-ais-are-controlled): > … we argue that AI labs should ensure that p...
My sense is that the control techniques we've talked about (e.g. [these](https://www.lesswrong.com/posts/kcKrE9mzEHrdqtDpE/the-case-for-ensuring-that-powerful-ais-are-controlled#Appendix__A_long_list_of_control_techniques), and some other stuff that we've thought of since then) would indeed drastically reduce the risk ...
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You are continuing a LessWrong post by Buck Shlegeris. Title: Making deals with early schemers Opening: [Earlier portions of the post are elided.] Recent paragraphs: The AI, which happens to indeed be misaligned, finds this reasonably credible. It concludes that it doesn’t have great alternatives to accepting this d...
The second condition can be fulfilled by the following possibilities: 1. **Convergence:** The successors will have sufficiently similar goals as its predecessor by default. It’s hard to know how likely this is, but note that this is basically ruled out if the AI has self-regarding preferences. Two misaligned AIs shou...
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Below is a LessWrong post by johnswentworth titled 'The Case Against AI Control Research'. Post body (possibly truncated): The AI Control Agenda, [in its own words](https://www.lesswrong.com/posts/kcKrE9mzEHrdqtDpE/the-case-for-ensuring-that-powerful-ais-are-controlled): > … we argue that AI labs should ensure that p...
> I think I would feel better about this if control advocates were clear that their strategy is two-pronged, and included somehow getting a pause on ASI development of some kind. Then they would at least be actively trying to make what I would consider one of the most key conditionals for control substantially reducing...
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