I have mixed feelings already about Prime Video, as a watching experience I find it quite annoying because I'll find a movie I'd like to watch only to find I have to pay another $5 to watch it. With the other services, I know if a movie comes up on the display, I can watch it without further cost.

I'm fairly sensitive to adverts, I really don't like seeing them, largely because I've isolated myself from them. The fewer you see, the more unsettling they are, the blatant attractive factor of them, do.not.want. And anther $40/yr is too much.

Apparently, dropping Prime with the shopping really does not impact the speed of delivery or cost. I'm already often selecting delayed delivery. With the increased prices, it's hard to justify the $140/yr.

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(I mean that's not a crazy notion: if you have any warm mug and fill it with cold stuff, the warm mug will heat up your cold stuff.)

You are right that if you keep your mug closed, there shouldn't be any energy flowing back into your drink.

It was thought for some time that they needed be turned to heat, but that's actually untrue. Using quantum gates, it is possible to do an arbitrary classical computation and recycle the anciliary bits.

Anyways, I didn't understand the acronyms so I decided to feed it to GPT and it definitely made it easier to understand:

Google is using a formula to determine which employees will be laid off (known as RIF: Reduction in Force)

The formula takes into account various factors such as location of labor (with US Premium Plus areas being more heavily impacted), tenure and performance in the current level, "runway" of compensation (the difference between base salary and maximum potential salary), and promo velocity (how quickly the employee has been promoted within the company)

This formula calculates a "number" for each employee based on these factors

Each Product Area Vice President (PA VP) is given a percentage of employees they must lay off

Employees with a score below a certain threshold, determined by the formula, will be laid off

And Google is in fact using AI almost everywhere in production already. You have some sort of AI in almost every product. Also language models are everywhere, e.g. just prediction of typing on your phone, or in GMail, in speech recognition, and many other places. I think they just do not use the biggest models for those things but some more efficient models, which can partly even run offline on your device (e.g. for the typing prediction).

Also in Google search, they use lots of AI, also neural networks.

It's just that for LaMDA specifically, they don't have a good product yet.

I have wanted to try medicine to see if it helps me at all, but I've never been able to do so. My GP was willing to perscribe me something, but decided my BP was too high and that was that.

There are definitely anxiety issues at play as well, but I don't know to what degree.