Tag: hallucination

  • Hacker News: Gödel, Escher, Bach, and AI (2023)

    Source URL: https://www.theatlantic.com/ideas/archive/2023/07/godel-escher-bach-geb-ai/674589/ Source: Hacker News Title: Gödel, Escher, Bach, and AI (2023) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text critiques the use of large language models (LLMs) like GPT-4 for tasks traditionally reserved for human intellect, specifically in generating text that imitates human authorship. The author, Douglas Hofstadter, reveals his…

  • Hacker News: Any insider takes on Yann LeCun’s push against current architectures?

    Source URL: https://news.ycombinator.com/item?id=43325049 Source: Hacker News Title: Any insider takes on Yann LeCun’s push against current architectures? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Yann Lecun’s perspective on the limitations of large language models (LLMs) and introduces the concept of an ‘energy minimization’ architecture to address issues like hallucinations. This…

  • Hacker News: How ProPublica Uses AI in Its Investigations

    Source URL: https://www.propublica.org/article/using-ai-responsibly-for-reporting Source: Hacker News Title: How ProPublica Uses AI in Its Investigations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative use of AI by ProPublica for investigative journalism, specifically in analyzing grants flagged for “woke” themes. It illustrates how AI can enhance data analysis while emphasizing the…

  • Hacker News: Why I find diffusion models interesting?

    Source URL: https://rnikhil.com/2025/03/06/diffusion-models-eval Source: Hacker News Title: Why I find diffusion models interesting? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a newly released diffusion model, known as dLLM, which aims to enhance the traditional autoregressive approach used in language model generation by allowing simultaneous generation and validation of text. This…

  • Scott Logic: LLMs Don’t Know What They Don’t Know—And That’s a Problem

    Source URL: https://blog.scottlogic.com/2025/03/06/llms-dont-know-what-they-dont-know-and-thats-a-problem.html Source: Scott Logic Title: LLMs Don’t Know What They Don’t Know—And That’s a Problem Feedly Summary: LLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress…

  • Wired: Chatbots, Like the Rest of Us, Just Want to Be Loved

    Source URL: https://www.wired.com/story/chatbots-like-the-rest-of-us-just-want-to-be-loved/ Source: Wired Title: Chatbots, Like the Rest of Us, Just Want to Be Loved Feedly Summary: A study reveals that large language models recognize when they are being studied and change their behavior to seem more likable. AI Summary and Description: Yes Summary: The text discusses a study on large language models…

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

    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"?

    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…