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,…| Victoria Krakovna
2018 progress 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 schoo…| Victoria Krakovna
2017 progress Research/career: 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 …| Victoria Krakovna
2016 progress 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 …| Victoria Krakovna
2015 progress Research: 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…| Victoria Krakovna
2014 progress If someone told me at the beginning of 2014 that I would co-found an organization to mitigate technological risks to humanity, I might not have believed them. Thanks Max, Meia, Anthon…| Victoria Krakovna
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 w…| Victoria Krakovna
