An analysis of how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
An analysis of user experiences reveals that the most disturbing aspects of AI aren't just errors, but its ability to blur reality, confidently mislead, and replicate human emotion so well it feels threatening.
Explore a discussion on taking LLMs camping off-grid, covering recommended local models like Gemma and Qwen, tools like Ollama and LM Studio, power solutions, and the critical debate on AI reliability for survival.
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.