The Art of Money Getting | Hacker News
TL;DR AI
2 min readKey summary
Hacker News users revisited Barnum’s 1880 advice that people do best in work suited to their abilities and interests.
The discussion connected that idea to modern tech careers, from programming and executive roles to AI-assisted experimentation.
Commenters debated whether paid work, integrity, and personality traits determine job success, satisfaction, and motivation.
LLMs like Claude, Gemini, DeepSeekV4, and Qwen3.6 were mentioned as tools that can shape how people work and what fits them best.



