Turun

No, because you can’t mathematically guarantee that pi contains long strings of predetermined patterns.

The 1.101001000100001… example by the other user was just that - an example. Their number is infinite, but never contains a 2. Pi is also infinite, but does it contain the number e to 100 digits of precision? Maybe. Maybe not. The point is, we don’t know and we can’t prove it either way (except finding it by accident).

C is so old, it has a way to work around that! In case your 198x keyboard was not set to ASCII you know. Not sure if Morse covers all the characters needed for the replacement trigraphs though.

https://riptutorial.com/c/example/23858/trigraphs

The YouTube channel looking glass universe (highly recommended!) also has a video on how alphafold works.

Edit: https://m.youtube.com/watch?v=Or3iq4_9-wA

Unfortunately the average person prefers flowery language for some reason. So that’s what OpenAI optimized for.

If you tell it to be precise and short it usually works fine.

Server’s down :(

I have compact view. I tap on a thumbnail to make the image “full screen”. In short succession I tap on the screen once, then touch and drag, which zooms the image.

Since I have it set to dismiss/leave “full screen” via of images by swiping the image up or down I need the tap before dragging to zoom into the image.

It still works the same.

I don’t understand the “that’s no how PDFs work” criticism.

Removing data from the original file is the whole point of the exercise! Of course unique tokens can be hidden in plain sight in images, letter spacing, etc. If we want to make sure to remove that we need to degrade the quality of the PDF so that this information is lost in said lossy conversion.

Actually, apple varieties are preserved via grafting. If you take an apple seed, the tree that will grow from it only has 50% of the DNA of the tree that made the apple. So there is absolutely no guarantee that the taste was preserved across generations.

What about auroras? Not /s

That is true for most current “self driving” systems, because they are all just glorified assist features. Tesla is misleading its customers massively with their advertisement, but on paper it’s very clear that the car will only assist in safe conditions, the driver needs to be able to react immediately at all times and therefore is also liable.

However, Mercedes (I think it was them) have started to roll out a feather where they will actually take responsibility for any accidents that happen due to this system. For now it’s restricted to nice weather and a few select roads, but the progress is there!

Definitely JS if you want to also have a website. Use electron to turn your website into an executable for the desktop. Python+qt is ok for Desktop apps, but does not work for a website.

Languages that compile to wasm would also be an option, (e.g. https://egui.rs with rust), but as far as i am aware none of the languages you’ve listed are in that set. (Only go would even be a contender between python, ruby, js and go)

It’s the only proper way .

Fuck your website all my homies use their preferred PDF reader.

Eh it’s not that great.

One million Blackwell GPUs would suck down an astonishing 1.875 gigawatts of power. For context, a typical nuclear power plant only produces 1 gigawatt of power.

Fossil fuel-burning plants, whether that’s natural gas, coal, or oil, produce even less. There’s no way to ramp up nuclear capacity in the time it will take to supply these millions of chips, so much, if not all, of that extra power demand is going to come from carbon-emitting sources.

If you ignore the two fastest growing methods of power generation, which coincidentally are also carbon free, cheap and scalable, the future does indeed look bleak. But solar and wind do exist…

The rest is purely a policy rant. Yes, if productivity increases we need some way of distributing the gains from said productivity increase fairly across the population. But jumping to the conclusion that, since this is a challenge to be solved, the increase in productivity is bad, is just stupid.

So it stops once someone doesn’t finish?

Alternatively the y axis could be “blog posts not about …”

You can literally run large language models with a single exe download: https://github.com/Mozilla-Ocho/llamafile

It doesn’t get much simpler than that.

Addendum:

The docs say

For reproducible outputs, set temperature to 0 and seed to a number:

But what they should say is

For reproducible outputs, set temperature to 0 or seed to a number:

Easy mistake to make

I appreciate the constructive comment.

Unfortunately the API docs are incomplete (insert obi wan meme here). The seed value is both optional and irrelevant when setting the temperature to 0. I just tested it.

Yeah no, that’s not how this works.

Where in the process does that seed play a role and what do you even mean with numerical noise?

Edit: I feel like I should add that I am very interested in learning more. If you can provide me with any sources to show that GPTs are inherently random I am happy to eat my own hat.