No, for taxes, married filing separately is a different category than single. Married filing separately results in a higher tax bill than married filing jointly for most couples.
There are places in the tax code where Single != Married Filing Separately.
One pertinent example is that Washington State's capital gains tax applies after $270k per single person, per married couple filing jointly OR split in half for married filing separately. Which could be a theoretical $18.9k/year difference in taxes.
Correct, the above posted ignored the four prongs of fair use:
1. Is the work more educational or commercial.
2. What is the nature of the underlying work (creative works are more protected).
3. Is the work transformative.
4. What will be the impact on the underlying work's market.
Search engines do not make their internal copies available, compete in an entirely different market (that benefits the makers of the underlying works) and are considered quite transformative because they enable discovering vast information on the internet.
On the other hand, almost zero LLMs/Text-to-Image generators are educational in nature (certainly none of the ones being sued for copyright infringement). They frequently are trained on highly creative works like art and writing. Some of the work could be transformative, depending on where the learned data manifold the output of your request lies on, but a huge amount is similar to the training data. Lastly, these models have an outsized negative impact on the underlying markets, by being vastly cheaper compared to a human's labor, and for dubious quality at that.
What is that replying to? I was addressing the argument that "well, you stored the work in memory, therefore you infringed copyright". It seems like you agree that that jump doesn't follow, just as I argued?
The majority of games run well on linux. I've had exceedingly few issues. Between Steam/Bottles/Lutris/Heroic and more, the vast majority of games work with no effort.
The only reason I don't always play on Linux is games with an anti-cheat that doesn't like Linux and not having access to a some Nvidia software like DLDSR and RTX HDR. Nvidia has devoted far more resources to it recently. Linux even has DLSS frame gen now.
It's much easier to do this than many people think as wealthy individuals frequently borrow against their non-liquid assets. This circumvents the price drop associated with flooding the supply of some stock.
How can they make you default on your mortgage? Your payment is made of 3 things, the home loan, property tax, and home insurance. The Fed influences mortgage interest rates by adjusting the Federal Funds Rate. Even if it does impact mortgage rates, it would only affect the extremely small subset of people with variable rate loans.This still only impacts the home loan, not insurance/tax.
One of the hallmarks of countries suffering hyperinflation/other monetary disasters is lack of a central bank because the legislatures fail to wield the power responsibly. It is another check and balance, and virtually ever economically stable country has one.
> One of the hallmarks of countries suffering hyperinflation/other monetary disasters is lack of a central bank because the legislatures fail to wield the power responsibly. It is another check and balance, and virtually ever economically stable country has one.
The original point of the Fed was to be a common reserve for banks which makes complete sense. Somewhere along the way, we told the fed to manipulate credit to fix inflation and unemployment and now we have a board that is virtually unfirable that can basically tax (inflate) you at any time and the theres nothing that the president nor congress can do.
Supposedly, this image of a Inno3D 5090 box leaked, revealing 32GB of VRAM. It seems like the 5090 will be more of a true halo product, given the pricing of the other cards.
The current 100% tariff on EVs from China^[1] may play a large part in the US market. The latest Xiaomi seems like a pretty good deal. Even Ford's CEO said he had been driving it for the last 6 months to understand the competition better and he didn't want to go back to his old car^[2]. I won't bother though since I have to pay double.
While some very large models may need beefy hardware, there are multiple forms of deep learning used for similar purposes:
Nvidia's DLSS is a neural network that upscales images so that games may be rendered quickly at lower resolutions, and than upscaled to the display resolution in less total time than rendering natively at the display resolution.
Nvidia's DLDSR downscales a greater-than-native resolution image faster than typical downscaling algorithms used in DSR.
Nvidia's RTX HDR is a post-processing filter that takes an sRGB image and converts it to HDR.
So, it is very likely that a model that converts rasterized images to raytraced versions is possible, and fast. The most likely road block is the lack of a quality dataset for training such a model. Not all games have ray tracing, and even fewer have quality implementations.
To be clear DLSS is a very different beast than your typical AI upscaler, it uses the principle of temporal reuse where real samples from previous frames are combined with samples from the current frame in order to converge towards a higher resolution over time. It's not guessing new samples out of thin air, just guessing whether old samples are still usable, which is why DLSS is so fast and accurate compared to general purpose AI upscalers and why you can't use DLSS on images or videos.
To add to this, DLSS 2 functions exactly the same as a non-ML temporal upscaler does: it blends pixels from the previous frame with pixels from the current frame.
The ML part of DLSS is that the blend weights are determined by a neural net, rather than handwritten heuristics.
DLSS 1 _did_ try and and use neural networks to predict the new (upscaled) pixels outright, which went really poorly for a variety of reasons I don't feel like getting into, hence why they abandoned that approach.
> So, it is very likely that a model that converts rasterized images to raytraced versions is possible, and fast.
How would this even work and not just be a DLSS derivative?
The magic of ray tracing is the ability to render light sources and reflections that are not in the scene. So where is the information coming from that the algorithm would use to place and draw the lights, shadows, reflections, etc?
I'm not asking to be snarky. I can usually "get there from here" when it comes to theoretical technology, but I can't work out how a raster image would contain enough data to allow for accurate ray tracing to be applied for objects whose effects are only included due to ray tracing.
Almost no exit polls mentioned this at all as being an important issue for voters. Disliking renewable energy sources has never been a pillar of republican ideology. Critical issues were far more likely to be immigration, state of the economy, abortion, and critical race theory/"wokeness".
