Home/Blog/Competition for direct weight editing for models: Delta LeagueAI & MLCompetition for direct weight editing for models: Delta LeagueHacker News New2026-11-05 08:550 viewsArticle URL: https://deltaleague.ai/ Comments URL: https://news.ycombinator.com/item?id=50373609 Points: 1 # Comments: 0Source:https://deltaleague.ai/My favoritesPreviousThe anatomy of language model inference and reinforcement learningNextVietnam Jails Pirate Football Streamers for Up to a Year, Three Escape PrisonRelated postsOpenAI’s Patch the Planet Brings AI-Assisted Patching to Open Source SecurityOpenAI has launched Patch the Planet , a Daybreak initiative that applies AI-assisted vulnerability research and human s0dev.toApple is reportedly cutting budgets for its internal AI usageThe company is said to be significantly dropping the amount it's spending on AI for its engineering teams.0TechCrunchTIL: Six Environment Fields That Decide Whether GBase Database Installation StartsWhen reading a GBase Database(GBase 8c) gbase.yml configuration file, most engineers jump straight to datanode , where D0dev.toMapping payload for robot dogs: LiDAR SLAM hardware setup from sensor to mapBy the engineering team at YUANZHI ROBOTICS. We design and build sensor payloads for robot dogs, UGVs and drones. Origin0dev.toTIL: host vs agent_host in GBase Database(GBase 8c) Network ConfigurationWhen reading a GBase Database(GBase 8c) deployment configuration for the first time, engineers often encounter the same 0dev.toAn LLM edited a small model's weights directly and its math score rose 6xTL;DR GPT-6 Astra, a frontier LLM, edited 0.016% of Qwen3.5-0.8B's weights directly, with no training run. MATH-500 went0dev.to