The argument the person above you is making is that they also profit off people who never file claims in the first place. In fact those people are more profitable since they do not consume labor to process claims.
The Byzantine system of rules and coverage exemptions exists to disincentive people from filing claims just as it exists to give leeway to deny them.
Of course the overall point that paid claims must be less than premiums charged (and investment income) is correct.
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
You haven't really described what you are imagining.
Proper “AI”. No more coding, you just tell the machine what to do and it will do it. I don’t think in the physical world but computers and every profession that is not physical will be much rarer. Either pivot to AI Management or be the arms that the AI “guides” through a task.
Telling a computer specifically what to do and how to do it without making mistakes is coding. Programming is a level above that, in designing the architecture of how to approach the business problem.
What the other commentator is saying, is that simple being able to tell some model 'build an app that does XYZ' requires AGI because that set of instructions is not complete - the machine requires outside knowledge and the ability to make judgement calls in order to complete it.
If that isn't what you meant, it is at least what you said. The breakdown in communication here, between humans, should also serve as another reminder how difficult it is to convey an idea to another entity and how that problem will remain difficult for a very long time.
Nate's model has a whole host of issues, not the least being his seeming lack of understanding of probability.
But don't take the word of some random internet hobo for it, Nicholas Taleb has a whole paper responding to the fundamental flaws with the 538/Nate Silver kind of election forecast.
For one simple point, uncertainty in a binary prediction does not mean that week to week win probabilities swing wildly. It would instead mean the win probability converges to 0.5 for both options. Neither Silver's model nor the new 538 model display this property (arguable the 538 model is closer), so their outputs cannot be interpreted as win probabilities.
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.
Harris and Walz aren't Millennials by any stretch. Harris is 59, Walz is 60. Spring chickens compared to Biden and Trump, but still 20 years removed from the oldest Millennial cohorts.
If the VP spot is vacant, the president selects a new VP who must then be confirmed by the House and Senate; per the 25th amendment: