Hide table of contents

Next week for The 80,000 Hours Podcast I'll be interviewing Nova Das Sarma.

She works to improve computer and information security at Anthropic, a recently founded AI safety and research company.

She's also helping to find ways to provide more compute for AI alignment work in general.

Here's an (outdated) LinkedIn and in-progress personal website, and an old EA Forum post from Claire Zabel and Luke Muehlhauser about the potential EA relevance of information security.

What should I ask her?

17

0
0

Reactions

0
0
New Answer
New Comment


13 Answers sorted by

What are the key companies Nova would like to help strenghten their computer security?

Any hot takes on the recent NVIDIA hack? Was it preventable? Was it expected? Any AI Safety implications?

Why is Anthropic working on computer security? What are the key computer security problems she thinks is prioritary to solve?

How worried is she about dual use of https://hofvarpnir.ai/  for capability development?

What AI Safety research lines are most bottlenecked on compute?

Is there any work on historical studies of leaks in the ML field? 

Would you like such a project to exist? What sources of information are there?

How large a portion of infosec risk is due to software/hardware issues and how large due to social engineering?

How important is compute for AI development relative to other inputs? How certain are you of this?

There have been estimates that there are around 100 AI researchers & engineers focused on AI alignment. This seems quite small given the scale of the problem. What are some of the bottlenecks for scaling up, and what is being done to alleviate this?

To what extent if any is centralisation/decentralisation useful in improving infosec?

The obvious way to reduce infosec risk is to beef up security. Another is to disincentivise actors from attacking in the first place. Are there any good ways of doing that (other than maybe criminal justice)?

What opportunities, if any at all, do individual donors (or people who might not have suitable backgrounds for safety/governance careers) have to positively shape the development of AI?

Comments2
Sorted by Click to highlight new comments since:

Thank you for asking this question on the forum! 

It has been somewhat frustrating to follow you on Facebook and seeing all these great people you were about to interview, without being able to contribute with anything.

[comment deleted]0
0
0
Curated and popular this week
 ·  · 5m read
 · 
[Cross-posted from my Substack here] If you spend time with people trying to change the world, you’ll come to an interesting conundrum: Various advocacy groups reference previous successful social movements as to why their chosen strategy is the most important one. Yet, these groups often follow wildly different strategies from each other to achieve social change. So, which one of them is right? The answer is all of them and none of them. This is because many people use research and historical movements to justify their pre-existing beliefs about how social change happens. Simply, you can find a case study to fit most plausible theories of how social change happens. For example, the groups might say: * Repeated nonviolent disruption is the key to social change, citing the Freedom Riders from the civil rights Movement or Act Up! from the gay rights movement. * Technological progress is what drives improvements in the human condition if you consider the development of the contraceptive pill funded by Katharine McCormick. * Organising and base-building is how change happens, as inspired by Ella Baker, the NAACP or Cesar Chavez from the United Workers Movement. * Insider advocacy is the real secret of social movements – look no further than how influential the Leadership Conference on Civil Rights was in passing the Civil Rights Acts of 1960 & 1964. * Democratic participation is the backbone of social change – just look at how Ireland lifted a ban on abortion via a Citizen’s Assembly. * And so on… To paint this picture, we can see this in action below: Source: Just Stop Oil which focuses on…civil resistance and disruption Source: The Civic Power Fund which focuses on… local organising What do we take away from all this? In my mind, a few key things: 1. Many different approaches have worked in changing the world so we should be humble and not assume we are doing The Most Important Thing 2. The case studies we focus on are likely confirmation bias, where
 ·  · 2m read
 · 
I speak to many entrepreneurial people trying to do a large amount of good by starting a nonprofit organisation. I think this is often an error for four main reasons. 1. Scalability 2. Capital counterfactuals 3. Standards 4. Learning potential 5. Earning to give potential These arguments are most applicable to starting high-growth organisations, such as startups.[1] Scalability There is a lot of capital available for startups, and established mechanisms exist to continue raising funds if the ROI appears high. It seems extremely difficult to operate a nonprofit with a budget of more than $30M per year (e.g., with approximately 150 people), but this is not particularly unusual for for-profit organisations. Capital Counterfactuals I generally believe that value-aligned funders are spending their money reasonably well, while for-profit investors are spending theirs extremely poorly (on altruistic grounds). If you can redirect that funding towards high-altruism value work, you could potentially create a much larger delta between your use of funding and the counterfactual of someone else receiving those funds. You also won’t be reliant on constantly convincing donors to give you money, once you’re generating revenue. Standards Nonprofits have significantly weaker feedback mechanisms compared to for-profits. They are often difficult to evaluate and lack a natural kill function. Few people are going to complain that you provided bad service when it didn’t cost them anything. Most nonprofits are not very ambitious, despite having large moral ambitions. It’s challenging to find talented people willing to accept a substantial pay cut to work with you. For-profits are considerably more likely to create something that people actually want. Learning Potential Most people should be trying to put themselves in a better position to do useful work later on. People often report learning a great deal from working at high-growth companies, building interesting connection
 ·  · 31m read
 · 
James Özden and Sam Glover at Social Change Lab wrote a literature review on protest outcomes[1] as part of a broader investigation[2] on protest effectiveness. The report covers multiple lines of evidence and addresses many relevant questions, but does not say much about the methodological quality of the research. So that's what I'm going to do today. I reviewed the evidence on protest outcomes, focusing only on the highest-quality research, to answer two questions: 1. Do protests work? 2. Are Social Change Lab's conclusions consistent with the highest-quality evidence? Here's what I found: Do protests work? Highly likely (credence: 90%) in certain contexts, although it's unclear how well the results generalize. [More] Are Social Change Lab's conclusions consistent with the highest-quality evidence? Yes—the report's core claims are well-supported, although it overstates the strength of some of the evidence. [More] Cross-posted from my website. Introduction This article serves two purposes: First, it analyzes the evidence on protest outcomes. Second, it critically reviews the Social Change Lab literature review. Social Change Lab is not the only group that has reviewed protest effectiveness. I was able to find four literature reviews: 1. Animal Charity Evaluators (2018), Protest Intervention Report. 2. Orazani et al. (2021), Social movement strategy (nonviolent vs. violent) and the garnering of third-party support: A meta-analysis. 3. Social Change Lab – Ozden & Glover (2022), Literature Review: Protest Outcomes. 4. Shuman et al. (2024), When Are Social Protests Effective? The Animal Charity Evaluators review did not include many studies, and did not cite any natural experiments (only one had been published as of 2018). Orazani et al. (2021)[3] is a nice meta-analysis—it finds that when you show people news articles about nonviolent protests, they are more likely to express support for the protesters' cause. But what people say in a lab setting mig
Relevant opportunities