CLAUDE.md - Hacker News Story Selection Guidelines
Overview
This document specifies how to select Hacker News stories for the OHGOD Philosophy website’s problem cards. Each problem card has a flip animation that reveals 4 HN stories on the back.
Requirements for HN Stories
Minimum Engagement
- Each story MUST have at least 100 comments on Hacker News
- Stories with 200+ comments are preferred
- Major announcement posts (GPT-4, Mamba, etc.) typically have 300+ comments
Story Selection Criteria
- First Story Must Support the Stat
- The statistic shown on the front of the card must be directly mentioned or supported by the first story
- Example: If stat is “$100M+”, the first story should discuss GPT-4 training costs of $100M
- Variety of Sources
- Avoid multiple stories about the same company incident (e.g., don’t use 3 Samsung stories)
- Mix different angles: research papers, news, lawsuits, Ask HN discussions
- Landmark/Viral Stories Preferred
- Major product announcements (GPT-4, GPT-4o, Mamba)
- Viral incidents (Samsung data leak)
- Major lawsuits (NY Times vs OpenAI)
- Research papers that went viral
- Recency
- Prefer stories from 2023-2025
- Older stories acceptable if they’re landmark discussions
How to Find High-Engagement Stories
Search Strategy
site:news.ycombinator.com [topic] [year]
Verify Comment Count
- Visit the HN link directly
- Check the comment count at the top
- Stories with 100+ comments usually have significant discussion
Popular Story Indicators
- Major tech announcements
- Controversial topics
- Research paper releases
- Corporate scandals/leaks
- Lawsuits involving Big Tech
Current Problem Cards and Their Stories (Updated Dec 2024)
Problem 1: Power Concentrated ($10B)
- Elon Musk Spent $10B on AI Training Hardware in 2024 (Oct 2024)
- AI Models That Cost $1B to Train Are Underway (Jul 2024)
- U.S. Antitrust Inquiries (Jun 2024)
- AI Training Costs Increasing 3x Annually (Aug 2025)
Problem 2: Planet Can’t Afford (900k tons CO₂)
- AI Adoption in US Adds ~900k Tons CO₂ Annually (2025 study)
- Big Tech AI Data Centers Driving Up Bills (Aug 2025)
- AI, but at What Cost? Carbon Footprint Breakdown (Feb 2025)
- Google’s Carbon Emissions Surge 50% (Jul 2024)
Problem 3: Data Isn’t Yours (20M+ conversations)
- Fighting NYT’s Invasion of User Privacy (2025) - 20M+ stored chats
- Why is OpenAI Lying About Data Collection? (2025)
- OpenAI Slams Order to Save All ChatGPT Logs (Jun 2025)
- NY Times Suing OpenAI for Copyright (Jan 2024)
Problem 4: Nobody Knows Inside (0%)
- GPT-4 (Mar 2023) - 0% architecture disclosed
- GPT-4 Details Leaked? (Jul 2023)
- GPT-4o (May 2024)
- GPT-4.5 (Feb 2025)
Problem 5: Illusion of Intelligence (covers sycophancy + hallucination + memorization)
- Sycophancy Is the First LLM ‘Dark Pattern’ (2025)
- Claude Says ‘You’re Absolutely Right!’ About Everything (Aug 2025)
- Hallucination Is Inevitable: Innate LLM Limitation (Feb 2024)
- LLMs Regurgitating Training Data (May 2024) - memorization
Problem 6: Architecture Barely Changes (8 yrs)
- ‘Attention Is All You Need’ Coauthor ‘Sick’ of Transformers (Oct 2025)
- Ask HN: Is Anybody Building Alternative Transformer? (Feb 2025)
- How Has DeepSeek Improved Transformer Architecture? (Jan 2025)
- Mamba: Linear-Time Sequence Modeling (Dec 2023)
Story Format in HTML
story1_url="https://news.ycombinator.com/item?id=XXXXXXXX"
story1_title="Title (max ~50 chars)"
story1_summary="One-line summary (max ~50 chars)"
Updating Stories
When updating stories:
- Search for high-engagement HN discussions on the topic
- Verify 100+ comments
- Ensure first story supports the card’s statistic
- Maintain variety across the 4 stories
- Keep titles and summaries concise for card display
Git Commit Rules (MANDATORY)
- NEVER add “Co-Authored-By:” lines to commits
- NEVER add “🤖 Generated with [Claude Code]” to commits
- Keep commit messages simple and descriptive
- Just describe what changed - no AI attribution footer