Thanks for all the questions, all - I’m going to wrap up here! Maybe I'll do this again in the future, hopefully others will too!
Hi,
I thought that it would be interesting to experiment with an Ask Me Anything format on the Forum, and I’ll lead by example. (If it goes well, hopefully others will try it out too.)
Below I’ve written out what I’m currently working on. Please ask any questions you like, about anything: I’ll then either respond on the Forum (probably over the weekend) or on the 80k podcast, which I’m hopefully recording soon (and maybe as early as Friday). Apologies in advance if there are any questions which, for any of many possible reasons, I’m not able to respond to.
If you don't want to post your question publicly or non-anonymously (e.g. you're asking “Why are you such a jerk?” sort of thing), or if you don’t have a Forum account, you can use this Google form.
What I’m up to
Book
My main project is a general-audience book on longtermism. It’s coming out with Basic Books in the US, Oneworld in the UK, Volante in Sweden and Gimm-Young in South Korea. The working title I’m currently using is What We Owe The Future.
It’ll hopefully complement Toby Ord’s forthcoming book. His is focused on the nature and likelihood of existential risks, and especially extinction risks, arguing that reducing them should be a global priority of our time. He describes the longtermist arguments that support that view but not relying heavily on them.
In contrast, mine is focused on the philosophy of longtermism. On the current plan, the book will make the core case for longtermism, and will go into issues like discounting, population ethics, the value of the future, political representation for future people, and trajectory change versus extinction risk mitigation. My goal is to make an argument for the importance and neglectedness of future generations in the same way Animal Liberation did for animal welfare.
Roughly, I’m dedicating 2019 to background research and thinking (including posting on the Forum as a way of forcing me to actually get thoughts into the open), and then 2020 to actually writing the book. I’ve given the publishers a deadline of March 2021 for submission; if so, then it would come out in late 2021 or early 2022. I’m planning to speak at a small number of universities in the US and UK in late September of this year to get feedback on the core content of the book.
My academic book, Moral Uncertainty, (co-authored with Toby Ord and Krister Bykvist) should come out early next year: it’s been submitted, but OUP have been exceptionally slow in processing it. It’s not radically different from my dissertation.
Global Priorities Institute
I continue to work with Hilary and others on the strategy for GPI. I also have some papers on the go:
- The case for longtermism, with Hilary Greaves. It’s making the core case for strong longtermism, arguing that it’s entailed by a wide variety of moral and decision-theoretic views.
- The Evidentialist’s Wager, with Aron Vallinder, Carl Shulman, Caspar Oesterheld and Johannes Treutlein arguing that if one aims to hedge under decision-theoretic uncertainty, one should generally go with evidential decision theory over causal decision theory.
- A paper, with Tyler John, exploring the political philosophy of age-weighted voting.
I have various other draft papers, but have put them on the back burner for the time being while I work on the book.
Forethought Foundation
Forethought is a sister organisation to GPI, which I take responsibility for: it’s legally part of CEA and independent from the University, We had our first class of Global Priorities Fellows this year, and will continue the program into future years.
Utilitarianism.net
Darius Meissner and I (with help from others, including Aron Vallinder, Pablo Stafforini and James Aung) are creating an introduction to classical utilitarianism at utilitarianism.net. Even though ‘utilitarianism’ gets several times the search traffic of terms like ‘effective altruism,’ ‘givewell,’ or ‘peter singer’, there’s currently no good online introduction to utilitarianism. This seems like a missed opportunity. We aim to put the website online in early October.
Centre for Effective Altruism
We’re down to two very promising candidates in our CEO search; this continues to take up a significant chunk of my time.
80,000 Hours
I meet regularly with Ben and others at 80,000 Hours, but I’m currently considerably less involved with 80k strategy and decision-making than I am with CEA.
Other
I still take on select media, especially podcasts, and select speaking engagements, such as for the Giving Pledge a few months ago.
I’ve been taking more vacation time than I used to (planning six weeks in total this year), and I’ve been dealing on and off with chronic migraines. I’m not sure if the additional vacation time has decreased or increased my overall productivity, but the migraines have decreased it by quite a bit.
I am continuing to try (and often fail) to become more focused in what work projects I take on. My long-run career aim is to straddle the gap between research communities and the wider world, representing the ideas of effective altruism and longtermism. This pushes me in the direction of prioritising research, writing, and select media, and I’ve made progress in that direction, but my time is still more split than I'd like.
The general background worldview that motivates this credence is that predicting the future is very hard, and we have almost no evidence that we can do it well. (Caveat I don’t think we have great evidence that we can’t do it either, though.) When it comes to short-term forecasting, the best strategy is to use reference-class forecasting (‘outside view’ reasoning; often continuing whatever trend has occurred in the past), and make relatively small adjustments based on inside-view reasoning. In the absence of anything better, I think we should do the same for long-term forecasts too. (Zach Groff is working on a paper making this case in more depth).
So when I look to predict the next hundred years, say, I think about how the past 100 years has gone (as well as giving consideration to how the last 1000 years and 10,000 years (etc) have gone). When you ask me about how AI will go, as a best guess I continue the centuries-long trend of automation of both physical and intellectual labour; in the particular context of AI I continue the trend where within a task, or task-category, the jump from significantly sub-human to vastly-greater-than-human level performance is rapid (on the order of years), but progress from one category of task to another (e.g. from chess to Go) goes rather slowly, as different tasks seem to differ from each other by orders of magnitude in terms of how difficult they are to automate. So I expect progress in AI to be gradual.
Then I also expect future AI systems to be narrow rather than general. When I look at the history of tech progress, I almost always see the creation of specific, highly optimised and generally very narrow tools, and very rarely the creation of general-purpose systems like general-purpose factories. And in general, when general-purpose tools are developed, they are worse than narrow tools on any given dimension: a swiss army knife is a crappier knife, bottle opener, saw, etc than any of those things individually. The current development of AI systems don’t give me any reason to think that AI is different: they’ve been very narrow to date; and when they’ve attempted to do things that are somewhat more general, like driving a car, progress has been slow and gradual, suffering from major difficulties in dealing with unusual situations.
Finally, I expect the development of any new technology to be safe by default. As an intuition pump: suppose there was some new design of bomb and BAE Systems decided to build it. There were, however, some arguments that the new design was unstable, and that if designed badly the bomb would kill everyone in the company, including the designers, the CEO, the board, and all their families. These arguments have been made in the media and the designers and the companies were aware of them. What odds do you put on BAE Systems building the bomb wrong and blowing themselves up? I’d put it very low — certainly less than 1%, and probably less than 0.1%. That would be true even if BAE Systems were in a race with Lockheed Martin to be the first to market. People in general really want to avoid dying, so there’s a huge incentive (a willingness-to-pay measured in the trillions of dollars for the USA alone) to ensure that AI doesn’t kill everyone. And when I look at other technological developments I see society being very risk averse and almost never taking major risks - a combination of public opinion and regulation means that things go slow and safe; again, self-driving cars are an example.
For each of these views, I’m very happy to acknowledge that maybe AI is different. And, when we’re talking about what could be the most important event ever, the possibility of some major discontinuity is really worth guarding against. But discontinuity is not my mainline prediction of what will happen.
(Later edit: I worry that the text above might have conveyed the idea that I'm just ignoring the Yudkowsky/Bostrom arguments, which isn't accurate. Instead, another factor in my change of view was placing less weight on the Y-B arguments because of: (i) finding the arguments that we'll get discontinuous progress in AI a lot less compelling than I used to (e.g. see here and here); (ii) trying to map the Yudkowsky/Bostrom arguments, which were made before the deep learning paradigm, onto actual progress in machine learning, and finding them hard to fit well. Going into this properly would require a lot more discussion though!)