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Tag: hallucinations

  • Hacker News: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/ Source: Hacker News Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “hallucinations” in code generated by large language models (LLMs), highlighting that while such hallucinations can initially undermine developers’ confidence, they are relatively…

  • Hacker News: GPT-4.5: "Not a frontier model"?

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    Kurt Seifried
    in

    Source URL: https://www.interconnects.ai/p/gpt-45-not-a-frontier-model Source: Hacker News Title: GPT-4.5: "Not a frontier model"? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the release of OpenAI’s GPT-4.5 and analyzes its capabilities, implications, and performance compared to previous models. It discusses the model’s scale, pricing, and the evolving landscape of AI scaling, presenting insights…

  • Simon Willison’s Weblog: Quoting Kellan Elliott-McCrea

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/kellan-elliott-mccrea/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Kellan Elliott-McCrea Feedly Summary: Regarding the recent blog post, I think a simpler explanation is that hallucinating a non-existent library is a such an inhuman error it throws people. A human making such an error would be almost unforgivably careless. — Kellan Elliott-McCrea Tags: ai-assisted-programming, generative-ai,…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…

  • Hacker News: The journalists training AI models for Meta and OpenAI

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    Kurt Seifried
    in

    Source URL: https://www.niemanlab.org/2025/02/meet-the-journalists-training-ai-models-for-meta-and-openai/ Source: Hacker News Title: The journalists training AI models for Meta and OpenAI Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the increasing trend of journalists transitioning to data-related roles, particularly in AI model training, due to economic pressures in traditional journalism. It highlights how…

  • Simon Willison’s Weblog: Deep research System Card

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/25/deep-research-system-card/#atom-everything Source: Simon Willison’s Weblog Title: Deep research System Card Feedly Summary: Deep research System Card OpenAI are rolling out their Deep research “agentic" research tool to their $20/month ChatGPT Plus users today, who get 10 queries a month. $200/month ChatGPT Pro gets 120 uses. Deep research is the best version of this…

  • AWS News Blog: AWS Weekly Roundup: Cloud Club Captain Applications, Formula 1®, Amazon Nova Prompt Engineering, and more (Feb 24, 2025)

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-cloud-club-captain-applications-formula-1-amazon-nova-prompt-engineering-and-more-feb-24-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Cloud Club Captain Applications, Formula 1®, Amazon Nova Prompt Engineering, and more (Feb 24, 2025) Feedly Summary: AWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu,…

  • Hacker News: AI-designed chips are so weird that ‘humans cannot understand them’

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    Kurt Seifried
    in

    Source URL: https://www.livescience.com/technology/computing/humans-cannot-really-understand-them-weird-ai-designed-chip-is-unlike-any-other-made-by-humans-and-performs-much-better Source: Hacker News Title: AI-designed chips are so weird that ‘humans cannot understand them’ Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses groundbreaking research where AI is utilized to design complex wireless chips, dramatically speeding up the process compared to traditional methods. This innovation not only enhances efficiency…