its incredibly easy to immediately tell when something was posted, and how popular it was. there s no automagic rearranging or movement.
similar to https://techmeme.com/river
1. I apply a domain and keyword filter to the feed
2. The content of the remaining articles are run twice daily through a Modern Bert-based classifier fine-tuned to detect AI-related content (~8000 training examples)[0].
It also filters out Github repos that contain AI authorship. My backend scans: - Commit messages for agent attribution
- The contributor graph for agents
- Repo files for instructions/configs
RSS feed here: https://hcker.news/feeds/atom?period=day&ai=exclude0: The original workflow for this was a little different. For the better part of the past year, I had an AI agent detect AI-related stories and raise ~20 stories to me to make a judgement call on. After a while, a workflow like this just doesn't make sense when small models can do it equally as well. The training data is based on the machine and my labeling.
Install uBlock Origin Lite. Then create a custom filter:
news.ycombinator.com##tr.athing:has(a:has-text(/\b(?:A\.?I\.?|A\.?G\.?I\.?|LLMs?|GPTs?|TPU|NPU|RAG|MoE|RLHF|xAI)\b|Anthropic|agent|super-?intelligence|Blackwell|Cerebras|ChatGPT|Claude|Cohere|Command\s*R|Context\s*window|Copilot|Cursor|DALL-E|deep\s*learning|DeepSeek|ElevenLabs|Fine-tun(?:e|ing)|Flux|Gemini|GenAI|Generative|Gemma|Grok|Groq|H100|Hallucination|harness(?:es)?|Hugging\s*Face|LangChain|Llama|LlamaIndex|Midjourney|Mistral|Ollama|OpenAI|OpenRouter|Perplexity|prompt|Qwen|Runway\s*(?:AI|ML)|Gen-[1-4](?:\.5)?|Sora|Synthetic\s*data|token|vibecod|vLLM|Whisper/i)):xpath(. | following-sibling::tr[1])Edit: ah yes, sure it exists
Looking at the iPod 6G QEMU emulation story:
> "With the help of Claude Code, I was able to create code to extract it using emCORE."
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Checking the connection Checking the proxy and the firewall ERR_CONNECTION_RESET
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