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.

Avocado and Muse are different models. Muse uses the openAI API.

https://dev.meta.ai/docs/overview

Source: I work on AI at Meta.

It uses a similar API to openAI. Source: https://dev.meta.ai/docs/overview

Source 2: I work on AI at Meta.

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.

As an example of a negative result-- https://www.nature.com/articles/s41526-019-0071-6

Astronauts given two different batteries of cognitive tests showed no dose-response relationship to CO2 concentration

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.

Also probably a skin and lung irritant. Lots of people have contact allergies to macroscale silver and nanowires tend to get embedded in cells in soft tissue.

It can affect battery longevity. If you charge lithium ion at cold enough temperatures, you get lithium plating which rapidly degrades capacity and can lead to internal shorts and fires.

It's due to heat produced, gas generated from overvolting the battery, and stress gradients from different levels of charge across the battery.

There isn't any difference between the guano graphene and the non-guano graphene in terms of structure -- look at figures 1 and 2. Figure 2A is clearly 4 of the same spectra because thermal exfoliation in the presence of guano doesn't create a materially different graphene than not in the presence of guano.

The rest of the paper is poking fun at all of the referenced papers that just have inconsistent electrochemical experimental setups that produce apparently increased electrocatalytic effects.

Lithium is not a rare earth mineral. Typical weight fraction in ore is 0.5-8%.

10 years ago, Congress decided we needed to transition off of it. Large amounts of the stockpile were sold off from 2013-2018 and this is the final part of the plan.

https://www.blm.gov/programs/energy-and-minerals/helium/fede...

Heads up, the danger with charging LFP at low temperature is that you will begin lithium plating. While this is a driver of degradation of LFP batteries, it's also a safety risk as lithium plating can lead to dendrite formation, internal shorts, and thermal runaway (i.e. fire).

Contrary to popular belief, LFP is not immune to thermal runaway. While LFP batteries do release less heat than Nickel based cathode chemistries, they can still cause a building to burn down when you have 200Ah or more.

You drive current through the outer probes. The inner probes measure voltage and are not driven. When measuring non-zero resistance, you can vary the driving current to confirm the voltage you measure also varies linearly (ex thermal effects, capacitance of the material etc.). When measuring zero resistance, you can't distinguish vs a voltage probe error.

I know a dev fresh out of college who became proficient in COBOL, got a govt job offer, and now is working as a lifeguard because places that hire COBOL programmers take forever to process their paperwork. Presumably he'll start his real job in late summer when they get their act together.

You're in an enclosed tube with lots of people, so fire is a lot worse.

Most lithium ion battery fires in cabins are from loose vape batteries, probably shorting on keys or change.

Some are from crushing pouch cells in tablets or phones, sometimes by seats.

Besides that, there isn't anything about planes that is causing these fires.

NaCl isn't bonded in water, it's ionized and dissolved. Each ion (Na+ or Cl-) is surrounded by a large number of water molecules due to the electric field of the ion.

Yes, that would be a membrane. There a number of membranes with larger pores that are fabricated like above, but out of polycarbonate (track etch membranes).

Some people have also experimented with single and double layers of graphene with a few very small pores. Because they are so thin, you don't need as much porosity for high transport rates.

You still have fouling issues, though.

You can declare a type-hint beforehand without setting the value of the variable. See: https://peps.python.org/pep-0526/#global-and-local-variable-...

The title says this is expanded PTFE, which seems like it wouldn't need an additional PFOTS coating. I doubt it would shed similar small molecules to a PFOTS coating as it's a different material (polymerized tetrafluoroethylene).

I also doubt you would get similar endocrine disruption with PTFE polymerization biproducts since you won't have the "polar head/fluorinated tail" structure that PFOTS has.

Lithium Ion batteries do burn much more readily when fully charged than when discharged -- this is because they self-discharge rapidly at elevated temperatures, which provokes an even greater reaction of the materials inside of them. Specifically, if the cathode of NMC/NCA batteries gets hot enough, it will decompose into oxygen and really kick off the graphite + electrolye burning. Discharged batteries are tougher to get to burn since it's harder to heat the cathode to that point externally so oxygen has to come from the environment.