Experimental News Clipping Site

Tag: over-reliance

  • The Register: AI can improve on code it writes, but you have to know how to ask

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/07/ai_can_write_improved_code_research/ Source: The Register Title: AI can improve on code it writes, but you have to know how to ask Feedly Summary: LLMs do more for developers who already know what they’re doing Large language models (LLMs) will write better code if you ask them, though it takes some software development experience to…

  • Hacker News: Being Functionless: How to Develop a Serverless Mindset to Write Less Code

    —

    by

    system automation
    in

    Source URL: https://www.infoq.com/articles/functionless-serverless-mindset/ Source: Hacker News Title: Being Functionless: How to Develop a Serverless Mindset to Write Less Code Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of the implications surrounding the use of serverless technology, specifically focusing on Function as a Service (FaaS). It discusses common pitfalls…

  • Hacker News: Letting Language Models Write My Website

    —

    by

    system automation
    in

    Source URL: https://nicholas.carlini.com/writing/2025/llms-write-my-bio.html Source: Hacker News Title: Letting Language Models Write My Website Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an engaging exploration of the capabilities and limitations of large language models (LLMs) through a creative project where the author generates a new homepage and biography each day using different…

  • Hacker News: Open source maintainers are drowning in junk bug reports written by AI

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/12/10/ai_slop_bug_reports/ Source: Hacker News Title: Open source maintainers are drowning in junk bug reports written by AI Feedly Summary: Comments AI Summary and Description: Yes Summary: The emergence of AI-generated software vulnerability submissions has led to a decline in the quality of security reports for open source projects, according to Seth Larson of…

  • The Register: Infosec experts divided on AI’s potential to assist red teams

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/12/20/gen_ai_red_teaming/ Source: The Register Title: Infosec experts divided on AI’s potential to assist red teams Feedly Summary: Yes, LLMs can do the heavy lifting. But good luck getting one to give evidence CANALYS FORUMS APAC Generative AI is being enthusiastically adopted in almost every field, but infosec experts are divided on whether it…

  • Wired: Human Misuse Will Make Artificial Intelligence More Dangerous

    —

    by

    system automation
    in

    Source URL: https://www.wired.com/story/human-misuse-will-make-artificial-intelligence-more-dangerous/ Source: Wired Title: Human Misuse Will Make Artificial Intelligence More Dangerous Feedly Summary: AI creates what it’s told to, from plucking fanciful evidence from thin air, to arbitrarily removing people’s rights, to sowing doubt over public misdeeds. AI Summary and Description: Yes Summary: The text discusses the predictions surrounding the emergence of…

  • Hacker News: 15 Times to use AI, and 5 Not to

    —

    by

    system automation
    in

    Source URL: https://www.oneusefulthing.org/p/15-times-to-use-ai-and-5-not-to Source: Hacker News Title: 15 Times to use AI, and 5 Not to Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive exploration of the practical applications of AI, particularly large language models (LLMs), in various professional contexts. It emphasizes the duality of AI’s transformative potential while…

  • Simon Willison’s Weblog: Quoting Ethan Mollick

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/10/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: Knowing when to use AI turns out to be a form of wisdom, not just technical knowledge. Like most wisdom, it’s somewhat paradoxical: AI is often most useful where we’re already expert enough to spot its mistakes, yet least helpful in the…

  • Simon Willison’s Weblog: Quoting Andrej Karpathy

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Nov/29/andrej-karpathy/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andrej Karpathy Feedly Summary: People have too inflated sense of what it means to “ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as…

  • Hacker News: Not Using Copilot

    —

    by

    system automation
    in

    Source URL: https://macwright.com/2024/11/20/not-using-copilot Source: Hacker News Title: Not Using Copilot Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a thoughtful exploration of the implications of LLM-based coding assistants in software engineering. It highlights the complexity of modern-day programming, the potential productivity gains through automation, and the emotional and cognitive impacts of…