TheChurn

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.

That would give politicians another reason to raise the retirement age, in order to stay in power.

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.

Not in the middle of a fucking desert, on a military base, far away from any potential market.

Unless you are going to claim that the soldiers stole wheat to sell to locals, for local currency, that they can then use to… do what exactly?

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.

One nitpick, Jesus was almost certainly a real figure. There are many records indicating someone with that name was in the area at the time, and that they were executed by crucifixion.

The religious stuff, obviously no way to prove. But as a person, the historical consensus is they existed.

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.

Victoria 3 was just boring - I say this as a huge fan of Victoria 2.

I played a few weeks after launch, and - for every one of the 4 countries I tried (Russia, Japan, Denmark, Spain), simply building all the things everywhere and ignoring money made everything trivial.

The economic simulation was super barebones, the entire thing could be bootstrapped just by building. An entire population of illiterate farmers would become master architects overnight and send GDP to the double digit billions in a few decades.

Yes, you can make the argument that a hyper-modern vehicle is a vastly more effective weapons system, so the disparity in cost is justified.

That isn’t what we are seeing in Ukraine - relatively modern NATO-standard tanks are being knocked out by old artillery, immobilized by old mines, and killed by cheap drones. Industrial warfare in the vein of WWI and WWII is clearly not dead yet.

This isn’t to say Russia would win a direct conventional war against the west, but we also can’t sit here smugly and claim it would be a steamroll like Gulf Storm given the observations from Ukraine.

The raw spending figure isn’t what is important, but the PPP figure. Russia’s economy is about 1/5th the size of the EU’s in PPP, and its defense sector is vastly more efficient on a monetary basis than the west - The US alone has given Ukraine close to $60 billion and it is a fraction of the hardware that Russia has produced with fewer dollars.

This isn’t a ‘Russia stronk, Europe bad’ post, it just bears emphasizing that Russia has a large industrial base and has brought much of it into arms production over the past two years. The West hasn’t, and defense procurement remains an almost artisanal process where high tech goods are bought - in low volumes - at inflated prices.

The terms seem agreeable?

The terms that restrict the size of the Ukrainian military, bar Ukraine from receiving foreign assistance to rebuild its military, forbid it from seeking security guarantees from any country or bloc, … The terms that would have made it trivial for Russia to further invade at any point in the future?

Those terms seem agreeable?

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.

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

it’s not spontaneous

Spontaneity in thermodynamics refers to a process which occurs without external application of energy. In your description, a pile of ash becoming an apple is spontaneous.

So in a contained universe, it doesn’t matter if it’s an apple releasing energy and becoming a pile of ash, or a pile of ash absorbing energy and becoming a perfectly normal apple.

The net energy is still conserved. Just going from energy to mass unlike mass to energy.

There is no mass-energy conversion in an apple burning to become ash, just the release of chemical energy from newly-formed bonds.

Regardless, conservation of energy is only one part of how the universe operates. The second operating principle is (or at least from hundreds of years of scientific inquiry appears to be) the maximization of entropy. That is the ‘spreading out’ of available energy. This is the reason iron rusts, rather than remaining oxygen and iron - conservation of energy alone cannot explain natural phenomena.

Spontaneous reconstruction of an ashed apple violates the second law of thermodynamics, and the Second law is no less valid than the First.

Lastly, I was not writing specifically about Penrose’s views on consciousness. His entire theory that gravity is driving the collapse of a wave function, and that said collapse occurs retroactively, is untested and based on an appeal to elegance. This does not make it wrong, but it most certainly should not be taken as true.

Beyond consciousness, the second law of thermodynamics also implies the presence and direction of time. In fact, it is sometimes called the Arrow of Time as it appears to direct physical processes to happen preferentially in the direction that increases entropy.

A self contained universe with fixed energy and infite time will eventually see a pile of ash turned into an apple. And it wouldn’t violate a damn thing with our system of physics.

This occuring spontaneously would indeed violate the 2nd law. This is a core disagreement between classical thermodynamics and statistical mechanics, which seems to re-derive classical thermo from probabilistic arguments over system states.

I feel it also warrants stating that Penrose’s theory is not widely accepted, has yet to be tested, and is based mostly on an argument to elegance - it “seems weird” for their to be uncountably infinite parallel timelines spawning at every instant. It is far too soon for it to be taken as fact.

Explaining what happens in a neural net is trivial. All they do is approximate (generally) nonlinear functions with a long series of multiplications and some rectification operations.

That isn’t the hard part, you can track all of the math at each step.

The hard part is stating a simple explanation for the semantic meaning of each operation.

When a human solves a problem, we like to think that it occurs in discrete steps with simple goals: “First I will draw a diagram and put in the known information, then I will write the governing equations, then simplify them for the physics of the problem”, and so on.

Neural nets don’t appear to solve problems that way, each atomic operation does not have that semantic meaning. That is the root of all the reporting about how they are such ‘black boxes’ and researchers ‘don’t understand’ how they work.

Haskell isn’t really that hard to learn

A monad is a monoid in the category of endofunctors