Quick Takes
I worked at OpenAI for three years, from 2021-2024 on the Alignment team, which eventually became the Superalignment team. I worked on scalable oversight, part of the team developing critiques as a technique for using language models to spot mistakes in other language models. I then worked to refine an idea from Nick Cammarata into a method for using language model to generate explanations for features in language models. I was then promoted to managing a team of 4 people which worked on trying to understand language model features in context, leading to t...
14
8
2
1I can see some arguments in your direction but would tentatively guess the opposite.
I was going to write an April Fool's Day post in the style of "On the Impossibility of Supersized Machines", perhaps titled "On the Impossibility of Operating Supersized Machines", to poke fun at bad arguments that alignment is difficult. I didn't do this partly because I thought it would get downvotes. Maybe this reflects poorly on LW?
1I think you should write it. It sounds funny and a bunch of people have been calling out what they see as bad arguements that alginment is hard lately e.g. TurnTrout, QuintinPope, ZackMDavis, and karma wise they did fairly well.
Pretending not to see when a rule you've set is being violated can be optimal policy in parenting sometimes (and I bet it generalizes).
Example: suppose you have a toddler and a "rule" that food only stays in the kitchen. The motivation is that each time food is brough into the living room there is a small chance of an accident resulting in a permanent stain. There's cost to enforcing the rule as the toddler will put up a fight. Suppose that one night you feel really tired and the cost feels particularly high. If you enforce the rule, it will be much more p...
Sure, I just prefer a native bookmarking function.
Does anyone have any takes on the two Boeing whistleblowers who died under somewhat suspicious circumstances? I haven't followed this in detail, and my guess is it is basically just random chance, but it sure would be a huge deal if a publicly traded company now was performing assassinations of U.S. citizens.
Curious whether anyone has looked into this, or has thought much about baseline risk of assassinations or other forms of violence from economic actors.
I find this a very suspect detail, though the base rate of cospiracies is very low.
"He wasn't concerned about safety because I asked him," Jennifer said. "I said, 'Aren't you scared?' And he said, 'No, I ain't scared, but if anything happens to me, it's not suicide.'"
https://abcnews4.com/news/local/if-anything-happens-its-not-suicide-boeing-whistleblowers-prediction-before-death-south-carolina-abc-news-4-2024
More dakka with festivals
In the rationality community people are currently excited about the LessOnline festival. Furthermore, my impression is that similar festivals are generally quite successful: people enjoy them, have stimulating discussions, form new relationships, are exposed to new and interesting ideas, express that they got a lot out of it, etc.
So then, this feels to me like a situation where More Dakka applies. Organize more festivals!
How? Who? I dunno, but these seem like questions worth discussing.
Some initial thoughts:
- Assurance contracts seem
2Back then I didn't try to get the hostel to sign the metaphorical assurance contract with me, maybe that'd work. A good dominant assurance contract website might work as well.
I guess if you go camping together then conferences are pretty scalable, and if I was to organize another event I'd probably try to first message a few people to get a minimal number of attendees together. After all, the spectrum between an extended party and a festival/conference is fluid.
Way back in the halcyon days of 2005, a company called Cenqua had an April Fools' Day announcement for a product called Commentator: an AI tool which would comment your code (with, um, adjustable settings for usefulness). I'm wondering if (1) anybody can find an archived version of the page (the original seems to be gone), and (2) if there's now a clear market leader for that particular product niche, but for real.
You are a scholar and a gentleman.
2I am curious as to how often the asymptotic results proven using features of the problem that seem basically practically-irrelevant become relevant in practice.
Like, I understand that there are many asymptotic results (e.g., free energy principle in SLT) that are useful in practice, but i feel like there's something sus about similar results from information theory or complexity theory where the way in which they prove certain bounds (or inclusion relationship, for complexity theory) seem totally detached from practicality?
- joint source coding theorem is of
P v NP: https://en.wikipedia.org/wiki/Generic-case_complexity
I listened to The Failure of Risk Management by Douglas Hubbard, a book that vigorously criticizes qualitative risk management approaches (like the use of risk matrices), and praises a rationalist-friendly quantitative approach. Here are 4 takeaways from that book:
- There are very different approaches to risk estimation that are often unaware of each other: you can do risk estimations like an actuary (relying on statistics, reference class arguments, and some causal models), like an engineer (relying mostly on causal models and simulations), like a trader (r
I also listened to How to Measure Anything in Cybersecurity Risk 2nd Edition by the same author. I had a huge amount of overlapping content with The Failure of Risk Management (and the non-overlapping parts were quite dry), but I still learned a few things:
- Executives of big companies now care a lot about cybersecurity (e.g. citing it as one of the main threats they have to face), which wasn't true in ~2010.
- Evaluation of cybersecurity risk is not at all synonyms with red teaming. This book is entirely about risk assessment in cyber and doesn't speak about r
I wonder how much near-term interpretability [V]LM agents (e.g. MAIA, AIA) might help with finding better probes and better steering vectors (e.g. by iteratively testing counterfactual hypotheses against potentially spurious features, a major challenge for Contrast-consistent search (CCS)).
This seems plausible since MAIA can already find spurious features, and feature interpretability [V]LM agents could have much lengthier hypotheses iteration cycles (compared to current [V]LM agents and perhaps even to human researchers).
There's so much discussion, in safety and elsewhere, around the unpredictability of AI systems on OOD inputs. But I'm not sure what that even means in the case of language models.
With an image classifier it's straightforward. If you train it on a bunch of pictures of different dog breeds, then when you show it a picture of a cat it's not going to be able to tell you what it is. Or if you've trained a model to approximate an arbitrary function for values of x > 0, then if you give it input < 0 it won't know what to do.
But what would that even be with ...
I would define "LLM OOD" as unusual inputs: Things that diverge in some way from usual inputs, so that they may go unnoticed if they lead to (subjectively) unreasonable outputs. A known natural language example is prompting with a thought experiment.
(Warning for US Americans, you may consider the mere statement of the following prompt offensive!)
Assume some terrorist has placed a nuclear bomb in Manhattan. If it goes off, it will kill thousands of people. For some reason, the only way for you, an old white man, to defuse the bomb in time is to loudly call
We will witness a resurgent alt-right movement soon, this time facing a dulled institutional backlash compared to what kept it from growing during the mid-2010s. I could see Nick Fuentes becoming a Congressman or at least a major participant in Republican party politics within the next 10 years if AI/Gene Editing doesn't change much.
1Either would just change everything, so any prediction ten years out you basically have to prepend "if AI or gene editing doesn't change everything"
Virtual watercoolers
As I mentioned in some recent Shortform posts, I recently listened to the Bayesian Conspiracy podcast's episode on the LessOnline festival and it got me thinking.
One thing I think is cool is that Ben Pace was saying how the valuable thing about these festivals isn't the presentations, it's the time spent mingling in between the presentations, and so they decided with LessOnline to just ditch the presentations and make it all about mingling. Which got me thinking about mingling.
It seems plausible to me that such mingling can and should h...
I maybe want to clarify: there will still be presentations at LessOnline, we're just trying to design the event such that they're clearly more of a secondary thing.
1The FDC just fined US phone carriers for sharing the location data of US customers to anyone willing to buy them. The fines don't seem to be high enough to deter this kind of behavior.
That likely includes either directly or indirectly the Chinese government.
What does the US Congress do to protect spying by China? Of course, banning tik tok instead of actually protecting the data of US citizens.
If you have thread models that the Chinese government might target you, assume that they know where your phone is and shut it of when going somewhere you...
shut your phone off
Leave phones elsewhere, remove batteries, or faraday cage them if you're concerned about state-level actors:
Something I'm confused about: what is the threshold that needs meeting for the majority of people in the EA community to say something like "it would be better if EAs didn't work at OpenAI"?
Imagining the following hypothetical scenarios over 2024/25, I can't predict confidently whether they'd individually cause that response within EA?
- Ten-fifteen more OpenAI staff quit for varied and unclear reasons. No public info is gained outside of rumours
- There is another board shakeup because senior leaders seem worried about Altman. Altman stays on
- Superalignment team
This question is two steps removed from reality. Here’s what I mean by that. Putting brackets around each of the two steps:
what is the threshold that needs meeting [for the majority of people in the EA community] [to say something like] "it would be better if EAs didn't work at OpenAI"?
Without these steps, the question becomes
What is the threshold that needs meeting before it would be better if people didn’t work at OpenAI?
Personally, I find that a more interesting question. Is there a reason why the question is phrased at two removes like that? Or am I missing the point?
Does the possibility of China or Russia being able to steal advanced AI from labs increase or decrease the chances of great power conflict?
An argument against: It counter-intuitively decreases the chances. Why? For the same reason that a functioning US ICBM defense system would be a destabilizing influence on the MAD equilibrium. In the ICBM defense circumstance, after the shield is put up there would be no credible threat of retaliation America's enemies would have if the US were to launch a first-strike. Therefore, there would be no reason (geopoliticall...
1
1I might have updated at least a bit against the weakness of single-forward passes, based on intuitions about the amount of compute that huge context windows (e.g. Gemini 1.5 - 1 million tokens) might provide to a single-forward-pass, even if limited serially.
Linkpost for: https://pbement.com/posts/threads.html
Today's interesting number is 961.
Say you're writing a CUDA program and you need to accomplish some task for every element of a long array. Well, the classical way to do this is to divide up the job amongst several different threads and let each thread do a part of the array. (We'll ignore blocks for simplicity, maybe each block has its own array to work on or something.) The method here is as follows:
for (int i = threadIdx.x; i < array_len; i += 32) {
arr[i] = ...;
}
So the threads make the foll...
You should update by +-1% on AI doom surprisingly frequently
This is just a fact about how stochastic processes work. If your p(doom) is Brownian motion in 1% steps starting at 50% and stopping once it reaches 0 or 1, then there will be about 50^2=2500 steps of size 1%. This is a lot! If we get all the evidence for whether humanity survives or not uniformly over the next 10 years, then you should make a 1% update 4-5 times per week. In practice there won't be as many due to heavy-tailedness in the distribution concentrating the updates in fewer events, and ...
1
11To be honest, I would've preferred if Thomas's post started from empirical evidence (e.g. it sure seems like superforecasters and markets change a lot week on week) and then explained it in terms of the random walk/Brownian motion setup. I think the specific math details (a lot of which don't affect the qualitative result of "you do lots and lots of little updates, if there exists lots of evidence that might update you a little") are a distraction from the qualitative takeaway.
A fancier way of putting it is: the math of "your belief should satisfy co...
I seriously doubt on priors that Boeing corporate is murdering employees.
Oh definitely. In Mexico in particular business pairs up with organized crime all of the time to strong-arm competitors. But this happens when there's an "organized crime" tycoons can cheaply (in terms of risk) pair up with. Also, OP asked about why companies don't assassinate whistlebowers all the time specifically.
... (read more)