Tech professionals grapple with growing disillusionment over industry trends towards value extraction, dystopian AI applications, and ethical compromises, exploring ways to build a more humane future.
An engineer at a failing startup weighs staying for short-term security against leaving immediately as colleagues depart. This analysis of a Hacker News discussion offers advice on job searching, workload management, and self-preservation.
Explore ambitious projects Hacker News users would tackle if success was guaranteed, from solving global inequality and AI risk to pioneering fusion power and new computing paradigms. Discover inspiring ideas and insights on innovation.
A discussion exploring how to live optimally if AGI, capable of economically surpassing human cognitive and motor skills, were imminent. Features diverse reactions from skepticism to practical and philosophical advice.
Struggling with dense congressional bills? Explore a Hacker News discussion on tools like GovTrack.us, congress.dev, AI solutions, and parsing techniques to make legislation more accessible.
Explore diverse strategies and resources for learning robotics in 2025, from hands-on kits and ROS to AI integration and 'from scratch' projects, as discussed by the Hacker News community.
Discover a range of one-handed typing solutions from a Hacker News discussion, covering keyboard remapping, voice dictation, AI assistance, and specialized hardware, tailored for injury recovery or improved accessibility.
Hacker News discusses the dream of creating a searchable Google Books and Sci-Hub from Anna's Archive, exploring technical challenges, legal nightmares, and the potential impact on research and AI.
Explore whether the current AI boom, exemplified by ChatGPT, is a transient fad or a fundamental societal shift. This analysis draws comparisons to past tech trends like the internet and crypto to understand AI's unique position and uncertain future.
Learn how to refactor and document your legacy codebase to make it more accessible and manageable for future AI tools. Key tips include modularization, clear interfaces, and robust testing.