Watch out OP, big funny appreciator over here found your post sub par

I guess printf "" > file

When I worked on a website with a map on it I used 15

50000kms is the kind of distances you get going around the earth so to get it down to a millimeter precision from 50k I think 8 or 10 digits required?

So I just put 15

That is one savage fucking title

I've had 100% failure rate on simple requirements that require a simple spin on well known solutions

"Make a pathfinding function for a 2d grid" - fine

"Make a pathfinding function for a 2d grid, but we can only move 15 cells at a time" - fails on lesser models, it keeps clinging to pulling you the same A* as the first one

"Make a pathfinding function for a 2d grid, but we can only move 15 cells at a time, also, some cells are on fire and must be avoided if possible, but if there is no other path possible then you're allowed to use fire cells as fallback" - Never works

There for that last one, none of the models give a solution that fits the very simple requirement. It will either always avoid fire or give fire a higher cost, which is not at all a fitting solution

High costs means if you've got a path that's 15 tiles long without fire, but way shorter with fire, then sure, some fire is fine! And if you could walk 15 tiles and go to your destination but need to walk on 1 fire, then it will count that as 15-something and that's too long.

Except no, that's not what you asked.

If you try and tell it that, gpt4 flip flops between avoiding fire and touching the price of tiles

It fails because all the literature on pathfinding talks about is the default approach, and cost heuristic functions. That won't cut it here, you have to touch the meat of the algorithm and no one ever covers that (because that's just programming, it depends on what you need to do there are infinite ways you could do it, to fit infinite business requirements)

Another study showed it also fast tracks you towards dementia so don't get ideas

Capitalism is a disease

That'd be like deploying a satellite to find your own ass...

I think the breakthroughs in AI have largely happened now as we're reaching a slowndown and an adoption phase

The research has been stagnating. Video with temporal consistency doesn't want to come, voice is still perceptibly non-human, openai is assembling 5 models in a trenchcoat to make gpt do images and it passing as progress, ...

Companies and people are adopting what is already there for new applications, it's getting more common to see neural network models in lots of solutions where the tech adds good value and is applicable, but the models aren't breaking new grounds like in 2021 anymore

The only new fundamental developments i can recall in the core technology is the push for smaller models trainable on way less data and that can be specialized for certain applications. Far away from the shock we all got when AI suddenly learned to draw a picture from a prompt

That is fucking wild

they just love skibiditoilet what can I say

Eh the activity is good enough

2000 upvotes on popular front page posts is like reddit in 2015