Don’t see mention of fixes for the resume-from-sleep bugs that have been around since at least 6 :'(

No, not even close.

I’ve used Unix systems for years at work, and have dual-booted windows with various flavors of Linux at home for just as long. When I just need something to work, particularly something new or after a stressful day at work, I just use windows.

Why? Because it will just work. Maybe it won’t work precisely how I want it to, maybe it will send all my data to Bill’s push notifications, but it will run. In the rare case it doesn’t, a quick google will fix it.

Compare that to Linux, where most things will work most of the time. And when they don’t, you get to hunt through GitHub issues off-the-clock like a peasant, wading through comments from people with entirely different configurations and ‘dunno it works for me’.

Linux is for tinkerers, and for people who want a Unix shell and can’t afford a Mac, it has a long way to go to be more than that.

The ideal answer is compost, regenerative agriculture, and (better treated) human-sources waste.

Organic crop yields will almost certainly reduce a bit without animal waste fertilizer, but that is fine since crop consumption will fall by a greater amount due to not needing to feed a bunch of extra animals.

Bro delete this I just shi myself omw to work

An inherent flaw in transformer architecture (what all LLMs use under the hood) is the quadratic memory cost to context. The model needs 4 times as much memory to remember its last 1000 output tokens as it needed to remember the last 500. When coding anything complex, the amount of code one has to consider quickly grows beyond these limits. At least, if you want it to work.

This is a fundamental flaw with transformer - based LLMs, an inherent limit on the complexity of task they can ‘understand’. It isn’t feasible to just keep throwing memory at the problem, a fundamental change in the underlying model structure is required. This is a subject of intense research, but nothing has emerged yet.

Transformers themselves were old hat and well studied long before these models broke into the mainstream with DallE and ChatGPT.

There is always a tension between security, privacy, and convenience. With how the Internet works, there isn’t really a way - with current technology - of reliably catching content like that without violating everyone’s privacy.

Of course, there is also a lack of trust here (and there should be given the leaks about mass surveillance) that the ‘stop child porn powers’ would only be used for that and not simply used for whatever the powers that be wish to do with them.

The world bank isn’t involved so much in printing money - that’s central banks like the US Federal Reserve or European Central Bank.

They do love to force developing nations to adopt US-style capitalism by withholding loans for needed development projects. They also focus far too much on increasing GDP at all costs and do not give really any weight to increasing living standards or reducing inequality. Basically, think loans to institute Reaganomics and you won’t be too far off.

The loans pay for large capital projects (power plants, large-scale irrigation, etc) that are built by the state and then mandated to he handed over to private entities that then charge rents and extract wealth. Not every loan and program is bad, but there’s plenty to give pause when they are involved in a project.

Beyond making them look horrible, they were marching towards a court ruling against the forced arbitration clause.

Once there is a precedent for the clause being unenforceable, the clause ceases to be a deterrent to legal action - every claim would be litigated at the very least to settle the question of whether arbitration is required in a specific case.