hn.json (1162B)
1 { 2 "threads": [ 3 { 4 "hn_id": "44963444", 5 "title": "ComputerRL: Scaling Reinforcement Learning for Computer Use Agents", 6 "points": 1, 7 "comments": 0, 8 "url": "https://news.ycombinator.com/item?id=44963444", 9 "created_at": "2025-08-20T16:37:58Z" 10 }, 11 { 12 "hn_id": "44116793", 13 "title": "When Models Don't Collapse: On the Consistency of Iterative MLE", 14 "points": 1, 15 "comments": 0, 16 "url": "https://news.ycombinator.com/item?id=44116793", 17 "created_at": "2025-05-28T15:06:51Z" 18 }, 19 { 20 "hn_id": "43291999", 21 "title": "Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence", 22 "points": 1, 23 "comments": 0, 24 "url": "https://news.ycombinator.com/item?id=43291999", 25 "created_at": "2025-03-07T17:19:08Z" 26 }, 27 { 28 "hn_id": "43207715", 29 "title": "GneissWeb: Preparing High Quality Data for LLMs at Scale", 30 "points": 1, 31 "comments": 0, 32 "url": "https://news.ycombinator.com/item?id=43207715", 33 "created_at": "2025-02-28T16:50:52Z" 34 } 35 ], 36 "top_points": 1, 37 "total_points": 4, 38 "total_comments": 0 39 }