Archive

Developers discuss why AIs are often poor at debugging their own code, debating whether it's a deliberate design or a core limitation of current LLM technology.

Hacker News users discuss whether the intense hype around Artificial General Intelligence (AGI), fueled by chatbots, could lead to public disillusionment and a new AI winter, or if current AI advancements offer value regardless.

A Hacker News discussion explores whether LLMs and CV models could execute commands hidden in images via steganography, touching on prompt injection, model hallucinations, and AI security.

A Hacker News discussion explores how AI tools are reshaping the programming landscape, suggesting an evolution of developer roles towards AI wrangling and tool-building rather than outright replacement.

A business owner shares their struggle with a deceptive job site advertising fake roles at their company. Discover community-sourced strategies to combat this, from email filters and reporting to legal action.

Software developers discuss coping mechanisms and practical strategies for staying motivated and maintaining mental well-being during a challenging job search filled with rejections.

Discover why US companies are increasingly restricting remote positions to 'US-only' talent, driven by complex legal hurdles, impactful tax changes like Section 174, national security concerns, and market factors.

Developers discuss how much credit to take for code written with LLMs, debating attribution, responsibility, copyright, and the evolving nature of authorship in software development.

A Hacker News discussion on how LLMs are speeding up software development, prompting a debate on whether coding is still the slowest phase or if bottlenecks are shifting to design, requirements, and communication.

Explore why WWE deliberately reminds viewers of its scripted nature, leveraging business realities as a powerful storytelling device to engage modern audiences.