If I had worked for months doing overtime only for the game to be released before it was ready, and seen the reaction it has got, I'd be frustrated.

One person's "bloat and inefficiency" is another person's "features at low cost".

We simply wouldn't have the services we have today at their low price if our hardware didn't offer them more breathing room.

As inefficiency tips more towards degradation in machines, more emphasis will be given to efficiency.

Is that an accurate tl;dr?

"As part of an ongoing migration of the User ID Service to a new quota system, a change was made in October to register the User ID Service with the new quota system, but parts of the previous quota system were left in place which incorrectly reported the usage for the User ID Service as 0."

The Big Bang Theory exhibited this quickly.

+1

https://github.com/joaotavora/eglot is developed by a core Emacs developer who plans to mainline it. It works great.

You're questioning the doom narrative.

Different people have different specialisms, and they each have their own goals.

Analogies aren't meant to withhold careful scrutiny. They're suggestive.

Experiencing marginalisation is frustrating, and frustrated people sometimes have outbursts.

I don't think we can infer much from a few highly publicised events.

Was she marginalized? She ran a team at Google. How many of us can claim that?

How was she marginalized? Marginalized means keeping someone in a powerless or unimportant position in society, which she was not as she had one of the most important roles in AI and was a manager.

Even if you are marginalized, threatening to resign with ultimatums will never work in your favor unless you have an entire union behind you.

I wasn't commenting on expected outcomes of their behaviour, just that I think it's a bit of a jump say to they are "rude and abrasive " in general.

What has led you to conclude the UK hasn't been more efficient with the data?

The head of the regulatory agency refers to a "rolling review". Perhaps they are confident enough so far that they are willing to roll this out to the most vulnerable, if they've found that their risk of side effects (even with high error bars) is lower than their risk of getting coronavirus.

That would then buy more data which will inform continued rollout to the less at-risk population.