Elon Musk and Mark Zuckerberg recently enjoyed a high profile spat about AI’s potential for apocalyptic side-effects. In a rather infantile exchange conducted via the gossiping journalists of the tech playground, Mark said that he thought Elon was a crybaby
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Building a Burns bot #1: Markov models for poetry generation
Originally published on the ASI Blog .
Robert (or Rabbie) Burns was a Scottish poet whose corpus includes ‘An Ode to A Haggis’ and the New Year’s Eve favourite ‘Auld Lang Syne’. Each year … Keep reading
Three reasons you’re surprised that Trump won
Originally published on Medium.
1) People don’t understand probabilities
As America headed to the polls, high-quality forecasters gave Trump a 35% chance of victory. Somehow, people misinterpreted this as ‘Trump is unlikely to win the election’. Something that has … Keep reading
How can we build computational models of happiness?
My colleagues Robb Rutledge, Nikolina Skandali, Peter Dayan, and Ray Dolan recently published a seminal paper examining the dynamics of happiness within a prediction-error framework (Eh? What does this mean? Read on to find out).
Studying happiness is clearly fraught … Keep reading
Einstein in Berlin
At the end of July I enjoyed a few days in Berlin, attending the 4th (and, sadly, final) Einstein Fellowship Symposium on Decision-making, organised by my supervisor Ray Dolan. After 2 days of exceptionally high-quality talks and posters, we finished … Keep reading
SfN 2013- San Diego
This November, me and a gang from Queen Square descended, along with 30’000 other neuroscientists, upon San Diego, California. Amongst this maelstrom of intimidatingly brilliant minds I was to be found presenting a poster on happiness in a social context, … Keep reading