It seems the race is also long-term optimised for humans to win. There are a lot more human competitors (> 10:1 ratio). The prize fund increased by 1000 pounds per year until a human won, no doubt attracting faster and faster athletes in increasing numbers.
The course has also been varied making year on year comparisons difficult.
Everyone seems to look for answers involving not having to spend any time learning anything new.
UML, BPMN, 4+1 view, it can do it all. Just learn it and make sure everyone else in your team does too.
The only which I can see working as it has already proven itself for certain tasks is something like the blueprints from the unreal engine but where each node represents something big enough to warrant its own node without any no low level details like variables, conditionals, loops etc. Otherwise you end up with literally spaghetti code.
Computers come with a modern browser now. Instead of a .exe file, could it be, let's say, a single .html file with inlined image/css/javascript?
I gotta say its not selling me on rust if bypassing the borrow checker with my own allocations still results in having to jump through so many hoops and struggle against the language.
Well, of course. People would start taking control of their own lives, and we don't want that. What would come next? The right to control their own body? How ludicrous.
https://www.npr.org/sections/health-shots/2024/04/23/1246611...
In Mexico the local government is the problem since they are often part of the cartels so the only way to change things is for these communities to setup a local milita, kick out the goverment/police and put a very utilitarian government in its place.
It's great as a non offensive stack overflow replacement, but just look at aider benchmarks (amazing work by the way): most capable models really struggle to make basic changes to a real code base.
Does anybody actually using it in practice believes the hype? I thought the hype is just another theatre for investors
EDIT: just some points taken from: https://aider.chat/docs/leaderboards/#code-editing-leaderboa...
- The metric "Percent completed correctly" maxes out at 72.9% with gpt4o, while at the same time, giving out correctly formatted output only 96.2% of the time.
- Benchmark suite is based on https://github.com/exercism/python, which very likely is a part of the training material already! In real code bases, no LLM would have the advantage of seeing new or proprietary code
For coding I have long given up on it. I only see it useful for people that want to do small scripts in languages they are not familiar with or to write toy examples of web/mobile apps.
For art I can sort of see a workflow in adding details to textures and using existing images and 3d assets to guide the generation of images. This is all just my speculation so I could be completely wrong just like the person that knowns very little to no programming thinking they will be able to code whatever they want with it.