This was a rough year that sometimes felt like a trial by fire – sick relatives, caring for a baby, and the pandemic making these things more difficult to deal with. My father was diagnosed with cancer and passed away later in the year, and my sister had a sudden serious health issue but is thankfully recovering. One theme for the year was that work is a break from parenting, parenting is a break from work, and both of those things are a break from loved ones being unwell. I found it hard to cope with all the uncertainty and stress, and this was probably my worst year in terms of mental health. There were some bright spots as well – watching my son learn many new skills, and lots of time with family and in nature. Overall, I look forward to a better year ahead purely based on regression to the mean.Continue reading
The first year after having a baby went by really fast – happy birthday Daniel! This post is a reflection on our experience and what we learned in the first year.
Grandparents. We were very fortunate to get a lot of help from Daniel’s grandparents. My mom stayed with us when he was 1 week – 3 months old, and Janos’s dad was around when he was 4-6 months old (they made it to the UK from Canada despite the pandemic). We also spent the summer in Canada with the grandparents taking care of the baby while we worked remotely.
We learned a lot about baby care from them, including nursery rhymes in our respective languages and a cool trick for dealing with the baby spitting up on himself without changing his outfit (you can put a dry cloth under the wet part of the outfit). I think our first year as parents would have been much harder without them.Continue reading
This is an annual post reviewing the last year and making resolutions and predictions for next year. 2020 brought a combination of challenges from living in a pandemic and becoming a parent. Other highlights include not getting sick, getting a broader perspective on my life through decluttering, and going back to Ukraine for the first time. (This post was written in bits and pieces over the past two months.)
Janos and I had a son, Daniel, on Nov 11. He arrived almost 3 weeks later than expected (apparently he was waiting to be born on my late grandfather’s birthday), and has been a great source of cuddles, sound effects and fragmented sleep ever since.
Some work things also went well this year – I had a paper accepted at NeurIPS, and was promoted to senior research scientist. Also, I did not get covid, and survived half a year of working from home (much credit goes to the great company of my housemates). Overall, a lot of things to be grateful for.Continue reading
This is an annual post reviewing the last year and making resolutions and predictions for next year. This year’s edition features sleep tracking, intermittent fasting, overcommitment busting, and evaluating calibration for all annual predictions since 2014.
AI safety research:
- Wrote an updated version of the relative reachability paper, including an ablation study on design choices.
- Coauthored a paper on modeling AGI Safety frameworks with causal influence diagrams, accepted to IJCAI workshop.
- Wrote a paper on avoiding side effects by considering future tasks, accepted to NeurIPS workshop.
- Co-ran a subteam of the safety team focusing on agent incentive design (ongoing).
AI safety outreach:
- Co-organized FLI’s Beneficial AGI conference in Puerto Rico, a more long-term focused sequel to the original Puerto Rico conference and the Asilomar conference. This year I was the program chair for the technical safety track of the conference.
- Co-organized the ICLR AI safety workshop, Safe Machine Learning: Specification, Robustness and Assurance. This was my first time running a paper reviewing process.
- Gave a talk at the IJCAI AI safety workshop on specification, robustness an assurance problems.
- Took part in the DeepMind podcast episode on AI safety (“I, robot”).
Research / AI safety:
- Wrote a paper on measuring side effects using relative reachability in May, and presented the results at the ICML GoalsRL workshop and the AI safety summer school. Since then, some new approaches have come out using my method as a baseline :).
- Made a list of 30 specification gaming examples in AI (assembled from several existing lists). Since the list was posted in April, 16 new examples have been contributed through the form (thanks everyone!). The list received some attention on Twitter, and I was interviewed about it by Wired and the Times.
- Was in the top 30% of NeurIPS reviewers.
- Gave talks at the Oxford AI Society, EA Global London, etc.
- Got involved in organizing the upcoming ICLR AI safety workshop, Safe Machine Learning: Specification, Robustness and Assurance.
Rationality / effectiveness:
- Attended the CFAR mentoring workshop in Prague, and started running rationality training sessions with Janos at our group house.
- Started using work cycles – focused work blocks (e.g. pomodoros) with built-in reflection prompts. I think this has increased my productivity and focus to some degree. The prompt “how will I get started?” has been surprisingly helpful given its simplicity.
- Stopped eating processed sugar for health reasons at the end of 2017 and have been avoiding it ever since.
- This has been surprisingly easy, especially compared to my earlier attempts to eat less sugar. I think there are two factors behind this: avoiding sugar made everything taste sweeter (so many things that used to taste good now seem inedibly sweet), and the mindset shift from “this is a luxury that I shouldn’t indulge in” to “this is not food”.
- Unfortunately, I can’t make any conclusions about the effects on my mood variables because of some issues with my data recording process :(.
- Declining levels of insomnia (excluding jetlag):
- 22% of nights in the first half of 2017, 16% in the second half of 2017, 16% in the first half of 2018, 10% in the second half of 2018.
- This is probably an effect of the sleep CBT program I did in 2017, though avoiding sugar might be a factor as well.
- Made some progress on reducing non-research commitments (talks, reviewing, organizing, etc).
- Set up some systems for this: a spreadsheet to keep track of requests to do things (with 0-3 ratings for workload and 0-2 ratings for regret) and a form to fill out whenever I’m thinking of accepting a commitment.
- My overall acceptance rate for commitments has gone down a bit from 29% in 2017 to 24% in 2018. The average regret per commitment went down from 0.66 in 2017 to 0.53 in 2018.
- However, since the number of requests has gone up, I ended up with more things to do overall: 12 commitments with a total of 23 units of workload in 2017 vs 19 commitments with a total of 33 units of workload in 2018. (1 unit of workload ~ 5 hours)
- Coauthored RL with reward corruption paper and presented the results at the U Toronto CS department, Workshop on Reliable AI, and Women in ML workshop.
- Coauthored AI Safety Gridworlds paper.
- Gave a talk on Interpretability for AI safety at the NIPS Interpretable ML Symposium.
- Gave a lot of people career advice on getting into AI safety research.
FLI / other AI safety:
- Coorganized the Beneficial AI conference in Asilomar and gave a talk summarizing the work of FLI grantees presented at the Asilomar workshop.
- Cowrote the project examples document for the new grants program.
- Spoke at the Tokyo AI & Society symposium (my first conference in Asia).
- Started a new public Facebook group AI Safety Open Discussion.
I’ve been collecting data about myself on a daily basis for the past 3 years. Half a year ago, I switched from using 42goals (which I only remembered to fill out once every few days) to a Google form emailed to me daily (which I fill out consistently because I check email often). Now for the moment of truth – a correlation matrix!
The data consists of “mood variables” (anxiety, tiredness, and “zoneout” – how distracted / spacey I’m feeling), “action variables” (exercise and meditation) and sleep variables (hours of sleep, sleep start/end time, insomnia). There are 5 binary variables (meditation, exercise, evening/morning insomnia, headache) and the rest are ordinal or continuous. Almost all the variables have 6 months of data, except that I started tracking anxiety 5 months ago and zoneout 2 months ago.
Research / career:
- Got a job at DeepMind as a research scientist in AI safety.
- Presented MiniSPN paper at ICLR workshop.
- Finished RNN interpretability paper and presented at ICML and NIPS workshops.
- Attended the Deep Learning Summer School.
- Finished and defended PhD thesis.
- Moved to London and started working at DeepMind.
- Talk and panel (moderator) at Effective Altruism Global X Boston
- Talk and panel at the Governance of Emerging Technologies conference at ASU
- Talk and panel at Brain Bar Budapest
- AI safety session at OpenAI unconference
- Talk and panel at Effective Altruism Global X Oxford
- Talk and panel at Cambridge Catastrophic Risk Conference run by CSER
I recently defended my PhD thesis, and a chapter of my life has now come to an end. It feels both exciting and a bit disorienting to be done with this phase of much stress and growth. My past self who started this five years ago, with a very vague idea of what she was getting into, was a rather different person from my current self.
I have developed various skills over these five years, both professionally and otherwise. I learned to read papers and explain them to others, to work on problems that take months rather than hours and be content with small bits of progress. I used to believe that I should be interested in everything, and gradually gave myself permission not to care about most topics to be able to focus on things that are actually interesting to me, developing some sense of discernment. In 2012 I was afraid to comment on the LessWrong forum because I might say something stupid and get downvoted – in 2013 I wrote my first post, and in 2014 I started this blog. I went through the Toastmasters program and learned to speak in front of groups, though I still feel nervous when speaking on technical topics, especially about my own work. I co-founded a group house and a nonprofit, both of which are still flourishing. I learned how to run events and lead organizations, starting with LessWrong meetups and the Harvard Toastmasters club, which were later displaced by running FLI.
- Finished paper on the Selective Bayesian Forest Classifier algorithm
- Made an R package for SBFC (beta)
- Worked at Google on unsupervised learning for the Knowledge Graph with Moshe Looks during the summer (paper)
- Joined the HIPS research group at Harvard CS and started working with the awesome Finale Doshi-Velez
- Ratio of coding time to writing time was too high overall
- Co-organized two meetings to brainstorm biotechnology risks
- Co-organized two Machine Learning Safety meetings
- Gave a talk at the Shaping Humanity’s Trajectory workshop at EA Global
- Helped organize NIPS symposium on societal impacts of AI
Rationality / effectiveness:
- Extensive use of FollowUpThen for sending reminders to future selves
- Mapped out my personal bottlenecks
- Tracked insomnia (26% of nights) and sleep time (average 1:30am, stayed up past 1am on 31% of nights)
- Started working on sleep hygiene
- Stopped using melatonin (found it ineffective)