"wok hei" is the charred, smoky taste from Chinese stir-fry dishes, which you can only get at very high temperatures, usually with an open flame.
You do not want to expose Teflon pans to high temperatures because it can degrade the non-stick coating. This is why most woks are made of carbon steel, which work fine over a large flame.
Note: if you're stuck with an induction stove (like I am) you're not going to get wok hei even at the highest setting. It's possible to cheat with a butane torch, or by taking it outside with an outdoor wok burner.
if by simple you mean scrambled eggs or sauteed onions, then sure, I multitask.
for heavier instruments like cast-iron or dutch ovens, I'd actually recommend preheating while chopping. just be mindful of the burner and adjust as needed
+1 on wikipedia's current events portal. One line summary per event, then a link to the article for more in-depth reading. It's a great way to condense information.
I had one of his classes. He really knows his stuff. Spoke fast, no filler, and had an answer prepared for any question related to programming language theory. I felt a little bad though, because a lot of the material went over everyone's head (it was a required course for CS majors).
Sometimes impossible in my case. Google Drive is always used in any collaborative project; so is Google Colab and Google Meet. And I still have the instinctual drive to reach for Google Translate/Maps, because it's so easy to access (physically and mentally).
From the paper, seems like Reflexion is an outer loop that provokes GPT to re-evaluate itself, which says nothing about the self-reflective capabilities of the actual GPT model.
But overall, I find there's a bit of a boundary problem when considering current ML models. Is GPT considered self-reflective if we embed it in a system that mimics such an ability?