Todd Sundsted @toddsundsted

gen con in august, dragon con in september, nycc in october. busy next few months...

pothole deep enough to fall into on delancy and allen

another great office game night!

the best writing about artificial intelligence on the web

the challenge of last-mile logistics in a city like NYC

dear god, someone sent me a username/password in an email!

I can’t decide if the problem here is humans, ancient email technology, or something else...

our new kickstarter came this week - el dorado.

superficially i thought it looked like catan, but other than the existence of resources it doesn’t play like catan at all.

enjoying it!

Bill Dally - Scaling of Machine Learning - ScaledML 2018

excellent dive into deep learning hardware, GPUs (obviously), lower precision weights, trained quantization of weights, pruning of neurons and weights...

researching the history of artificial intelligence via magazines and newspapers... side tracked by the old hardware in the advertisements...

when i think about autonomous vehicles i always hear red barchetta playing in the distance...

"Google's Hybrid Approach to Research" - Spector, Norvig, Petrov

finally getting around to reading "Playing Atari with Deep Reinforcement Learning". you'd assume, given how I spent my youth, it would have happened earlier...

i just love these interactive overviews/presentations of recent research

plan for today: stir pot, organize resulting chaos, hack hack hack, nap, write, study... (kidding about the nap)

`stack build` is pronounced "stack set your laptop on fire"

@seanl @phenethylamine @lain

we went with haskell for a bunch of reasons including solid multicore support (which ocaml lacked) and support for docker (which impacts jvm-based languages), but learning to use haskell effectively has been hard, hard, hard. it really feels like you're starting over again.

a loaf of bread
a jug of wine
a typeclass
and thou