Autonomous Systems @ UK AI Safety Institute (AISI)
DPhil AI Safety @ Oxford (Hertford college, CS dept, AIMS CDT)
Former senior data scientist and software engineer + SERI MATS
I’m particularly interested in sustainable collaboration and the long-term future of value. I’d love to contribute to a safer and more prosperous future with AI! Always interested in discussions about axiology, x-risks, s-risks.
I enjoy meeting new perspectives and growing my understanding of the world and the people in it. I also love to read—let me know your suggestions! In no particular order, here are some I’ve enjoyed recently
Ord—The Precipice
Pearl—The Book of Why
Bostrom—Superintelligence
McCall Smith—The No. 1 Ladies’ Detective Agency (and series)
Melville—Moby-Dick
Abelson & Sussman—Structure and Interpretation of Computer Programs
Stross—Accelerando
Graeme—The Rosie Project (and trilogy)
Cooperative gaming is a relatively recent but fruitful interest for me. Here are some of my favourites
Hanabi (can’t recommend enough; try it out!)
Pandemic (ironic at time of writing...)
Dungeons and Dragons (I DM a bit and it keeps me on my creative toes)
Overcooked (my partner and I enjoy the foody themes and frantic realtime coordination playing this)
People who’ve got to know me only recently are sometimes surprised to learn that I’m a pretty handy trumpeter and hornist.
(cross-posted on LW)
Love this!
As presaged in our verbal discussion my top conceptual complement would be to emphasise exploration/experimentation as central to the knowledge production loop—the cycle of ‘developing good taste to plan better experiments to improve taste (and planning model)’ is critical (indispensable?) to ‘produce new knowledge which is very helpful by the standards of human civilization’ (on any kind of meaningful timescale).
This because just flailing, or even just ‘doing stuff’, gets you some novelty of observations, but directedly seeking informative circumstances at the boundaries of the known (which includes making novel unpredictable events happen, as well as getting equipped with richer means to observe and record them, and perhaps preparing to deliberatively extract insight) turns out to be able to mine vastly more insight per resource (time, materials, etc.). Hence science, but also hence individual human and animal playfulness, curiosity, adversarial exercises and drills (self-play ish), and whatnot.
Said another way, maybe I’d characterise ‘the way that fluid intelligence and crystallised intelligence synergise in the knowledge production loop’ as ‘directed exploration/experimentation’?
Having said that, I don’t necessarily think these capacities need to reside ‘in the same mind’, just as contemporary human orgs get more of this done and more effectively than individuals. But the pieces do need to be fit to each other (like, a physicist with great physics taste can’t usually very well complement a bio lab without first becoming a person with great bio taste).