Turun

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

Server’s down :(

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)

Ah, gotcha.

Is there like a list where you can enter your server so that other people use it as an ntp server? Or how did you advertise it to have 2800 requests flooding in?

I have similar specs and cost with ionos

It says posted 4 days ago, updated yesterday.

For most stuff the pi4 is also enough. Jellyfin (no transcoding) works fine on mine. It takes a bit to generate the chapter images and the timeline peek images when ingesting a new movie, but I’ve never had any issues with playback.

Wait what? Do I understand that correctly? You have a raspberry pi with a direct network connection to an atomic clock? That’s so awesome!

They don’t incorporate chromium changes in safari, so it should be considered separate.

What about Safari?

1. Yes, but devil’s advocate: you also need a program to text files, needing a program to read sqlite files is not worse.

2. I am confused by your requirements. Why do you need to store your data as json or XML? Would it suit your requirements to read in text files, convert to sqlite for processing and then save as a text file? What do you gain by being able to edit the files in a text editor, as opposed to a table editor? Do you maybe just need a config file (e.g. in toml format) and don’t actually do much data processing?

It depends entirely on how you want to work with the data.

Have you considered sqlite? The database is just a single file, which gives you all the advantages of a text file (easy backup, sharing, easy editing via sqlite browser) while also providing the benefits of SQL when operating on the data (join, etc).

You’d think so, but the title has a space there!

This assumes that OP actually meant git…

I fear they may have had no idea what the distinction between git and GitHub is and intended to say GitHub.

I’m not here to sell you something. In fact, the reason it took so long for me to reply, was because I only have access to ChatGPT at work and had to wait until I had free time there. I’m not paying closed AI any money either, but despite that I can accept that their flagship product is actually really good.

I am criticising that your post is based on a mediocre model (which version and temperature did you use?), but written as if it were representative of the whole field. And if I’m being honest I’m kinda salty that I was downvoted based on examples from such a meh model.

Since a few days ago llama 3 was released. On ai.nvidia.com you can test out different models, including the new 8B and 70B versions. I only did a quick check but even llama 3 8B beats the examples you gave here.

OP: buys shoes for one dollar “man, this footwear thing is absolute dog shit, I don’t know why anyone would ever use them”

Anyone else: buys shoes that are actually good

Alternative comment

People who develop random number generators: guess I’ll just die then

Ok, so I finally got to check this and I simply can’t reproduce your results at all.

Gpt4 turbo preview. Temperature 0.2

It answers all questions correctly. When pressed for details it did not lie to me, but instead correctly explained why Dijkstra can’t be used to find the longest path, and instead pointed out that this is a NP hard problem. It also correctly stated that Dijkstra can’t be used for graphs with negative weights. It correctly suggested Bellman-Ford as an alternative to Dijkstra and knows their respective runtime complexities (for Dijkstra it differentiated between the og version and one with a Fibonacci heap). When I told it my data type for distances does not support infinity it correctly stated the bound to be “larger than any possible path length in your graph”.

My initial opinion was that you simply should not use a tool for something it can’t do. I assumed that GPT is simply not knowledgeable enough to answer such domain specific questions.
I have now changed my opinion. I don’t know what your version of GPT is, but GPT4 turbo preview with a temperature of 0.2 answers all the questions in your post correctly. Therefore I think GPT can be a good teacher for even Domain specific problems if they are sufficiently entry level (but still domain specific, which is impressive!)

Yes, but imagine if we gave kids the ability to ask questions instead of leaving them with books after they are able to read - wait, we actually do that. It’s called teaching or private tutoring and orders of magnitude better at conveying knowledge than scraping together information from different sources.

LLMs are pretty good at stuff that an untrained human can do as well. Algorithms and data structures are wayyy to specialized.

I recently asked gpt4 about semiconductor physics - not a chance, it simply does not know.

But for general topics it’s really good. For one reason that you simply glossed over - you can ask it specific questions and it will always be happy to answer.

Okay, at least it’s not incorrect, there are no lies in this, although I would nitpick two things:

1. It doesn’t state what the actual goal of the algorithm is. It says “fundamental method used in computer science for finding the shortest paths between nodes in a graph”, but that’s not precise; it finds the shortest paths from a node to all other nodes, whereas the wording could be taken to imply its between two nodes.
2. “infinity (or a very large number)” is very weird without explanation. Dijkstra doesn’t work if you put “a very large number”, you have to make sure it’s larger than any possible path length (for example, sum of all weights of edges would work).

Those nitpicks are something you can ask it to clarify! Wikipedia doesn’t do that. If you are looking for something specific and it’s not in the Wikipedia article - tough luck, have fun digging through different articles or book excerpts to piece the missing pieces together.

The meme about stack overflow being rude to totally valid questions does not come from nothing. And ChatGPT is the perfect answer to that.

Edit: I’m late, but need to add that I can’t reproduce OPs experience at all. Using GPT4 turbo preview, temperature 0.2, the AI correctly describes dijkstras algorithm. (Distance from one node to all other nodes, picking the next node to process, initializing the nodes, etc).
To respond to one of the nitpicks I asked the AI what to do when my “distance” data type does not support infinity (a weak point of the answer that does not require me to know the actual bound to question the answer). It correctly told me a value larger than any possible path length is required.

It also correctly states that Dijkstras algorithm can’t find the longest path in a graph and that the problem is NP hard for general graphs.

For negative weights it explains why Dijkstra doesn’t work (Dijkstra assumes once a node is marked as completed it has found its shortest distance to the start. This is no longer a valid assumption if edge weights can be negative) and recommends the Bellman-Ford algorithm instead. It also gives a short overview of the Bellman-Ford algorithm.

A basic image is really easy. It’s basically just

Dockerfile

FROM debian  # start with a minimal Linux system. There are probably better options than debian. Some images are made especially for docker (i.e. very minimal and light weight). 
RUN apt install dependencies  # do what ever you need to get your app running. 
RUN echo "options and stuff" >> /etc/a/config/file  # you can also edit system files
COPY . /app  # copy your project into the docker container.
EXPOSE 8080  # doesn't actually do anything, but documents where the app will be listening
CMD server-binary run /app/main.php  # I have actually no idea how php server stuff works

(Docs https://docs.docker.com/reference/dockerfile/)

Then people can run your project with docker.

Edit: checking the readme some small changes would be required. Config.php should read in environment variables and the DB init SQL should be run automatically somehow.

REST server and ORM python code

Fair enough, that can be achieved with pure python.