Most OLEDs today ship with logo detection and will dampen the brightness on static elements automatically.
While it isn’t a silver bullet, it does help reduce burn in since it is strongly linked to heat, and therefore to the pixel brightness. New blue PHOLEDs are expected to also cut burn in risk. Remember that LCDs also used to have burn in issues, as did CRTs.
Again, it doesn’t matter whether you find the argument about compelling.
If care cannot be provided profitably, it won’t be provided at all. That is reality. Somehow, the care must be paid for.
Those who need care are not better off if these facilities close.
The businesses are hardly profitable. For every dollar they get from housing a resident, they get just above half a penny of profit.
As I showed above, you can take the entire profit and put it into hiring more staff and it won’t actually make a difference. They either need to raise prices, cut costs elsewhere (maybe administration? I’m not familiar enough to know), or pay people less.
That’s what the numbers say.
We get it, you don’t like nursing homes.
You don’t seem to be engaging with the substance of the matter, so I’ll leave it here.
And that is a valid opinion. Unfortunately what do you do with all these people if the homes close because they can’t afford staff?
The intent of the bill is to prevent neglect in nursing homes - that is a worthy and important goal. The mandate doesn’t actually help make that happen.
It doesn’t provide funding the care providers to increase staff, it doesn’t add incentives for individuals to get certified and help address the personnel shortage, it doesn’t put a cap on administrative costs for care facilities, it doesn’t actually DO anything to help solve the problem.
Good mandates also provide an avenue to meet them.
That is an insanely small margin, and directly contradicts your claim that they can staff properly.
Let’s take the entire profit for the industry and hire nurses. Let’s say reach nurse costs $80K ( $60K salary, $20K for taxes/insurance/other benefits).
That pays for 9600 more nurses. Which, given the nursing requirements in the bill (3.48 hours per day per resident), only covers staffing for 22K residents… a rounding error to the more than 1.2 million nursing home residents in the country.
There are ~15K nursing homes in the US, each of them getting 0.6 more nurses doesn’t help anything.
The $94/hr isn’t a salary, it’s the cost to the business. Employees generally cost a business 1.3-1.5X their salary - since insurance, payroll taxes, PTO, etc. all also need to be paid for.
Again this is not considering any other cost for the facility: utilities, food, other staff, medical equipment, maintenance, insurance, rent…
3.5 hours of nurse care per resident per day (from the bill).
Resident pays $120K per year to stay at the facility.
There are 365*3.5 hours in a year they need nursing care = 1277 hours of nursing care per year per client.
$120K per year / 1277 hours per year = $94/ hr maximum cost for each nurse - assuming there are no other expenses for the facility.
Must have mistyped to get $95, but that is the math.
$120K per year per resident isn’t that much revenue to cover 24 hour availability of care, food, lease, etc.
I’m not saying it is unworkable, but with the requirement for 3.5 hours of nurse care or resident per day, that means the maximum total cost of a Nurse is $95 per hour, or about $190K.
That really isn’t much - typically employees cost a business twice their base salary. So the nurses can be paid $100K per year while leaving almost $0 for any other expenses…
I’ve been using Nvidia under Linux for the last 3 years and it has been massive pita.
Getting CUDA to work consistently is a feat, and one that must be repeated for most driver updates.
Wayland support is still shoddy.
Hardware acceleration on the web (at least with Firefox) is very inconsistent.
It is very much a second-class experience compared to Windows, and it shouldn’t be.
Linux and Nvidia really need to sort out their shit so I can fully dump windows.
Luckily the AI hype is good for something in this regard, since running gpus on Linux servers is suddenly much more important.
I think this is from Berserk, but it’s been years and I can’t quite tell.
The law doesn’t matter, it doesn’t enforce itself.
The judges wanted it lowered for reasons, and so they lowered it.
The entire system is a lot more about people than most want to admit. The magic words on a page somewhere only exist to serve those in power, never to force them to do something they don’t want to do.
Humans are intelligent animals, but humans are not only intelligent animals. We do not make decisions and choose which beliefs to hold based solely on sober analysis of facts.
That doesn’t change the general point that a model given the vast corpus of human knowledge will prefer the most oft-repeated bits to the true bits, whereas we humans have muddled our way through to some modicum of understanding of the world around us by not doing that.
But the most current information does not mean it is the most correct information.
I could publish 100 papers on Arxiv claiming the Earth is, in fact, a cube - but that doesn’t make it true even though it is more recent than the sphere claims.
Some mechanism must decide what is true and send that information to train the model - that act of deciding is where the actual intelligence in this process lives. Today that decision is made by humans, they curate the datasets used to train the model.
There’s no intelligence in these current models.
Windshields have been laminated for decades. Side windows were tempered glass for decades, and since 2020 are mandated to be laminated glass.
Copilot is GPT under the hood, it just starts with a search step that finds (hopefully) relevant content and then passes that to GPT for summarization.
Romney was wrong then and he is wrong now.
The greatest threat is and was China. Russia does not have the means to directly compete with the United States.
Every billion parameters needs about 2 GB of VRAM - if using bfloat16 representation. 16 bits per parameter, 8 bits per byte -> 2 bytes per parameter.
1 billion parameters ~ 2 Billion bytes ~ 2 GB.
From the name, this model has 72 Billion parameters, so ~144 GB of VRAM
There are really only 3 search providers, Google, Bing, and Yandex.
All others will pay one of these three to use their indexes, since creating and maintaining that index is incredibly expensive.