I use Kagis summarizer. It saves me a bunch of time because it answers the question - is this link worth reading? It has an HN mode, so here is its current sum

I use Kagis summarizer. It saves me a bunch of time because it answers the question - is this link worth reading? It has an HN mode, so here is its current summary. - ChatGPT and other AI assistants can help improve productivity by answering questions faster than searching online or asking another person. This includes explaining technical concepts, providing code samples, and helping with minor tasks. - However, the quality of code generated by AI is sometimes inconsistent, and debugging may take as long as writing it manually. For complex tasks, AI may not be much faster than a human. - AI is most useful for getting around poor documentation, asking "stupid questions" without bothering others, and learning new concepts through interactive "interviews." - AI can help with one-off text transformations and formatting tasks that aren't worth writing custom scripts for. - While AI may struggle with writing production code, it can help with boilerplate, stubs, and minor repetitive coding tasks. - Different AI systems have varying capabilities. ChatGPT is best for interactive explanations, while Copilot is more like an "autocomplete on drugs." - It's important to understand an AI's limitations and use good judgment about what types of tasks it will and won't handle well. Day-to-day coding is often too complex. - AI search engines can provide code samples and quick answers to common "how do I" questions, saving time over traditional search engines. - Summarization, translation, and documentation generation are other useful applications of AI for productivity. - By offloading minor, non-core tasks, AI helps users focus on more creative and challenging work.