Maybe just subdividing a little? I was thinking of, like instead of separating out each single dose, separate the bag into 4 day jars, so it's less work on the dividing side but also less oxidation of the beans overall? For you, I think you gotta just try it with the rice and report back. You gonna use a sealed bag on the rice like a ziploc? Or something stretchy but permeable and rely on the rice mass and displacement to slow the air?

I'm in the 'put in the hopper the amount you intend to grind' camp, but Lance Hedrick (youtuber) had a video recently where he discusses ways to manage oxidation that might have tips for you. I learned I should be taping over the co2 hole on my bags

Those weren't his friends you fool, that was his harem. They're a polycule, that's probably more likely than what you're suggesting

Show us the wall wart side where it says the voltage that it charges at, it's likely you had something there that acted as a conductor and normally there's not really a risk of shorting. If you want to try again, Clean as much charring away as you can, since it might be a better conductor than the mug material that gap distance was designed for. I would scrape away all the black, use an exacto or razor blade to cut a little more, then fill it with a little bit of 5 minute epoxy or superglue or something.

This is all assuming the voltage and amperage across that gap isn't all that high. Do you think it's likely a drop of water or something got in there as you went to charge it?

Very cool! Did you try doing the thing with amylase enzyme to dissolve the starch that she's been doing lately? I wanna get some to try out. I gotta get better at making normal (easy) soy tofu before I try all these hard delicate ones

If you try native edibles and stuff she hasn't, you should documentgit and share some pictures of how much starch in the milk and how much water it absorbed and such.

But most heat we reject isn't rejected radiatively, so you need a sweaty heater pack for a better test. You're right that the clothes will also affect how well the person underneath removes heat, a confounding variable, but pigment alone might be a small part compared to weave and fiber choices

The OS is probably optimizing it away, there might be a setting under battery management or app deep sleep that stops the OS from killing it, but it's gonna use a bunch more battery, too. I think this is a simple enough thing that a little esp could do it instead of a whole phone app

Yea just Windows for now, but still pretty messed up that they would attempt to hijack that discovery mechanism for malware, and that Windows is just like "sure!"

Don't worry, these companies are working on a way around that, too. https://vi-control.net/community/threads/lg-monitors-silently-trigger-malware-installation-on-windows.173754/

Unfortunately, the field is pretty brutal about just assuming you are fully caught up to everything in the field, or that you will read the references for a given statement. You often don't need to know all the math, but at least have a general idea of what some concepts are. I've been part of 'journal clubs' for the past 5 years where the only really goal is to stay abreast of the changes going on so that a new paper doesn't send me down a rabbit hole of reading a referenced paper, which also has unknown terms, and read those references, etcetcetera.

I'm not in a great position to give useful advice due to that. it might be a good approach to find a youtuber who gives a 20-30 minute review/summary of a single paper that looks interesting, and of the video makes sense, then try to read the paper, and if you get stuck, see if the YouTuber has a video on the concept that got you stuck.

I work in AI/ML, and it's such a hilariously broad and meaningless field I don't even do remotely the same thing as my coworker in the same team hired on the same day. They work in agentic llm swarm research I work in CV/RL. Here's three papers I had to read recently, and not fully understand but extract usable insight from (why did they do what they did and can I use that for myself)

Upsample anything

Dinov3

LTGNN line transformer graph neural networks for robust line feature matching just kidding this one isn't on arxiv

It takes me a couple hours to deeply read a paper, I'm not like, getting 100% from it till like the 4th read through and a couple pages of notes, or reading a couple background papers (such as the JBU paper for UpAnything). Try reading one or two and if it seems interesting then maybe that's an area in AI ML that might be interesting to you.

Remember the people doing the most math are the people doing ai ML academically in a masters or PhD, us commercial users tend to do less math and more "this new model came out can we apply it to our problem"

I don't think so. Vegetable oils are mostly polyunsaturated fats, even solid spread products that have more palm oil and other saturated fats don't usually have any trans fats.