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tkgally

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  1. Show HN: 500 clocks in one 6.3 MB HTML file by Opus 5.5 (tkgally.github.io)

    Lately I've been testing frontier models by having them create self-contained web pages that display clocks--sort of my personal version of Simon Willison’s pelican-on-a-bicycle metric. I have been particularly…

    1 points 35
  2. 1 points 0
  3. China Is Scared of A.I. Just Not the Way We Are (nytimes.com)
    1 points 1
  4. Show HN: Pelican-bicycle alternatives (updated for 2026) (gally.net)

    In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a…

    1 points 46
  5. Heeramandi: The Diamond Bazaar (Lahore, Pakistan) [video] (youtube.com)
    1 points 1
  6. One Fast Fish (2002) (newyorker.com)
    2 points 0
  7. Virtual Railfan (virtualrailfan.com)
    2 points 0
  8. Bonsai of the Imperial Palace [video] (youtube.com)
    1 points 0
  9. Ukraine's drone commander has Russian oil, troops and morale in his sights (bbc.com)
    57 points 11
  10. Claude auto-dream [video] (youtube.com)
    1 points 0
  11. When A.I. Took My Job, I Bought a Chain Saw (nytimes.com)
    13 points 0
  12. What If Readers Like A.I.-Generated Fiction? (newyorker.com)
    10 points 8
  13. Show HN: Extending LLM SVG generation beyond pelicans and bicycles (gally.net)

    Inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I used Claude, Claude Code, and OpenRouter to get SVGs from six models for thirty similar prompts. Example: “Generate an SVG of a venus flytrap swallowing…

    16 points 1
  14. Video of Simon Willison vibe coding live (youtube.com)
    3 points 0
  15. Replit Agent 3 (replit.com)
    1 points 0
  16. Terence Tao: Research Powers Progress [video] (youtube.com)
    3 points 0
  17. What It Costs to Be a Sorority Girl (theatlantic.com)
    3 points 0
  18. Show HN: Hacker News em dash user leaderboard pre-ChatGPT (gally.net)

    The use of the em dash (—) now raises suspicions that a text might have been AI-generated. Inspired by a suggestion from dang [1], I created a leaderboard of HN users according to how many of their posts before November…

    377 points 72
  19. Interpretability: Understanding how AI models think [video] (youtube.com)
    2 points 0
  20. Dana Morgan Jr. (deadessays.blogspot.com)
    2 points 0
  21. How A.I. really works [a "documentary" made with VEO3] (youtube.com)
    2 points 0
  22. Affective Use of AI (Anthropic) [video] (youtube.com)
    1 points 1
  23. Prompt injections for better peer reviews in papers on arXiv.org (asia.nikkei.com)
    5 points 1
  24. Failure Mechanisms in Democratic Regimes – An Army's Role (angrystaffofficer.com)
    126 points 97
  25. 'We Are the Most Rejected Generation' (nytimes.com)
    4 points 0