rnimmer
Joined 6 years ago
Joined 6 years ago
The shift I've experienced is something akin to being able to finally focus on the aspects I've always enjoyed most: architecture and user experience. I review all the code, but through iteration my prompts have gotten better, and for the most part my automated codemonkey 'employee' produces good code. It's not reasonable to expect complex things to be one-shot; UX improvements always require follow-ups, and features need to be divided and conquered one at a time. Engineers who lack those higher level skills will struggle. You are leading a small team now, not just plugging away at implementing user stories.
Humor aside, long-handed programming is losing its ability to compete in an open market. Automate or be left behind. This will become increasingly true of many fields, not just software.
Built-in checks prevent processing of inappropriate content, ensuring legal and ethical use."
I see it claims to not process content with nudity, but all of the examples on the website demo impersonation of famous people, including at least one politician (JD Vance). I'm struggling to understand what the authors consider 'ethical' deepfaking? What is the intended 'ethical' use case here? Of all the things you can build with AI, why this?
NEAT: https://www.cs.ucf.edu/~kstanley/neat.html
HyperNEAT: http://eplex.cs.ucf.edu/hyperNEATpage/HyperNEAT.html
There are explanations, links to the research papers, and links to implementations.
Here is a working example that runs in your browser using Javascript: https://liquidcarrot.io/example.flappy-bird/