- Defining Intelligence, A Conversation With Stuart Russell – Edge
A long conversation, more than one hour, with transcription, about Russell’s research career and his views on the future of AI and its impact on society.
- Why Facts Don’t Change Our Minds – The New Yorker
How our ways of thinking, perhaps defined by evolution to work best in the new hyper-social human environment, are hard to change even in front of the clearest of evidence. A review of three books on the topic.
- Directions and desiderata for AI control – Paul Christiano – OpenAI
Paul Christiano delineates the most promising research directions for tackling the problem of controlling AI, and what we should strive for when designing new algorithms.
- Bayesian machine learning – FastML
A quick, but effective, introduction to the concepts of Bayesian machine learning, with plenty of pointers to more in-depth resources.
- Some Useful Distinctions When Thinking About Your Career – Scott H. Young
What’s the difference between assets, attitudes, habits, skills and achievements? And how do they impact your career?