TheChurn

American hegemony was a conscious American policy choice. We didn’t want the Euros having an independent foreign policy, we wanted them reliant on American military protection. This was how the US kept those bits of its empire in line.

Notice how the only Western European country that even pays lip service to independent action is France, the one Western European country with a military capable of independent operation. And then we get “Freedom Fries” and all that shit whenever they don’t do whatever the current US admin wants.

The single biggest thing Trump fucked up for the US was pushing NATO countries to spend more on defence. This will drastically reduce US influence over the continent in the coming decades, speeding up America’s worsening diplomatic isolation.

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.

Electoral college. Idaho always goes red, Oregon always go blue. Moving population from Oregon to Idaho transfers electoral votes from a blue state to a red state.

Whether it matters or not depends on whether it changes the tipping point state in any given election, which is hard to know in advance, but for the red team it is at worst identical to the current setup and at best a small boost to their chances in a presidential election. Conversely for the blue team it can either be meaningless or a slight negative.

if it didn’t have parents it isn’t food either

What does this mean?

I’m not sure I’d trust modern CA to do Med3 justice. The new style of Total War is just a different beast from the sublime RTW/Med2 era.

Lots of little things changed, and it just ‘hits different’. Probably the biggest difference is just that every single fight after the first 20 turns will be a 20 stack vs a 20 stack, and every single battle is life or death for that army. It makes the campaign much faster paced - declare war, wipe stack, capture cities for 3 turns until the AI magics up another 20 stack.

In the original Med2, since there wasn’t automatic replenishment, there were often battles between smaller stacks, even in late game, as they were sent from the backline to reinforce the large armies on the front. Led to some of my greatest memories trying to keep some random crossbowmen and cavalry alive against some ambushing enemy infantry they wandered into. The need for manual reinforcement led to natural pauses in wars and gave the losing side a chance to regroup without relying on the insane AI bonuses of the modern TW games - and I do mean insane; they’ll have multiple full stacks supplied from a single settlement.

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.

This would’ve been more believable if they left off the wheat. Oil I can imagine, but no fucking way are US troops stealing wheat of all things.

Do they think there is a mill at their base? What the fuck would they use it for? It has negative value.

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.

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.

A token is not a concept. A token is a word or word fragment that occured often in free text and was assigned a number. Common words, prefixes, and suffixes are the vast majority of tokens, and the rest are uncommon pairs of letters.

The algorithm to generate tokens is essentially compression, there is no semantic meaning embedded in them.

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.

The Dark Souls 2 DLCs are some of the best content in all of Souls. While the original game has some level design issues, the DLCs are sublime.

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

how much VRAM you need to run this model

It will depend on the representation of the parameters. Most models support bfloat16, where each parameters is 16-bits (2 Bytes). For these models, every Billion parameters needs roughly 2 GB of VRAM.

It is possible to reduce the memory footprint by using 8 bits for each param, and some models support this, but they start to get very stupid.

Haskell isn’t really that hard to learn

A monad is a monoid in the category of endofunctors