Fun to see this here. I had the good fortune of participating in the first match of motorcycle polo in Rwanda back in 2007. This continued on for a while and eventually got a writeup in the NYT: https://www.nytimes.com/2012/05/09/sports/motorized-polo-gai...

Only the ridiculous ones. You can get an M6 for 2500 or an M3 for 1200. Lenses are 400-2k unless you go for crazy glass.

A new old stock M6 is $7000. Otherwise you're comparing used cameras to a new one. And more like $3500 for a used M6

This raises a good point. Most people who aren’t public writers might be misidentified based on the prevalence of others work in training data sets. Kelsey Piper might have a very different experience with this than a mostly offline normal user?

This is a more useful link https://youtu.be/CEjew239bUU?si=L-nskdaoGq_24fgt

I think it can be radically more pedestrian than this. Just affording basic life in a high COL area is insane. Getting an apt in NY and paying for childcare for two kids can already be a 16k/mo endeavor, no porche entering the equation.

How can a t-shirt possibly be worth $100? Is that truly better than alternatives?

It’s a cost I’m willing to pay. You’re paying for a fully domestic supply chain. The cotton is grown in the U.S., then cleaned, spun into yarn, made into fabric, dyed, and finally cut and sewn in Los Angeles. Every step happens in the United States, supporting local farming, manufacturing, and labor.

the Robert Barakett shirt? i don't know – often on sale for $50. how are they worth $50? well… there's no logo on them and they fit well.

The paper suggests it’s for forecasting. How this doesn’t just represent the relatively small number of training samples isn’t obvious to me. If most of the time series for training go up and to the right then I assume that’s what the model will (generally) do, but who knows.

It seems like most of the implementation is FPGA, which I wouldn’t call “physically burned into silicon.” That’s quite a stretch of language

This seems like a pile of generally good, and some non-obvious advice, that's also useful outside of the boundaries of ML (it would also apply to a PhD in Neuroscience for example).

And, even if you're in the "real world", anyone who wants to do fun hobby projects with community on the side :)

Except maybe the "aim for 2 papers a year"

I wish !

I have a three year old and would still never subject others to tablet noise. Yes they’re the literal worst to fly with but don’t export your misery to others.