VygmraMGVl

Japan also has the death penalty. Being a U.S. ally since WW2 and a member of the G7 means it is both a first world country and a developed country.

This doesn't excuse the immorality of the death penalty.

Why does there need to be a thermal gradient? It seems like the action driving the actuator is the expansion of the wax due to temperature. You don't need a persistent heat flux to get that, the wax just needs enough heat warm up and change phase.

Edit: also, the actuation from the wax motor only happens while it is absorbing (or losing) heat, even if it later ends up in a steady state with no heat flux.

At one point there were over 70 different token maxing dashboards as the management had a game of whack a mole trying to remove them. There definitely was encouragement from management about a year ago to increase ai usage, but once Claude code was allowed, they didn't really need to encourage anyone any more.

The leaderboard wasn't leadership generated, it was engineer generated from internally available data. The leadership target is "impact" from ai tools.

Claude opus 4.6 scores 51.9% on the same benchmark. Microsoft's result is quite good.

Meta's interview process does include leetcode Hard and Medium problems (although the Hards tend to be on the easier side), but you don't actually have to write working code, just talk your way through an algorithm. I actually was surprised at how it didn't feel like I was being asked to brute force my way through a tough algorithm problem, but more felt like a whiteboarding session with my interviewer. YMMV but I found Meta's interview process to be the most humane "big tech" interview I went through.

It's pretty easy to scrape your own calendar events in Meta. I'm not sure about others' as I'm not a manager, but I wouldn't be surprised if it were visible as long as someone is in your report chain.

(I work at Meta)

Typically, the behavior of any given metal is a mix of mechanisms so the measured behavior is fit to a curve where you fit n. So for metals the exponent is typically a decimal between 2 and 5.

SoundBio is a bio + chemistry makerspace in Seattle. Not BSL, though.

It would be interesting to see a blogpost on parameterizing a model in PyBaMM given a commercial cell. I imagine many battery engineers using simulation-based design tread over the same ground for determining parameters from literature, X-rays, etc.

The "batteries-included" models in PyBaMM would apply to sodium batteries and lead-acid batteries (i.e. either the full Doyle-Fuller-Newman model or the Single Particle simplification). Flow batteries would probably require implementing a new model, which is supported in PyBaMM, since you need to model forced convection on either side of the separator.

I know PyBaMM has a relatively modular modeling system, but I'm not sure how they've broken down the models they have implemented.

This was true in 2013 as well. I've heard this has changed in the last 5 years or so, though.