[ICLR 2024] Dynamic Neural Response Tuning
信息的尽头，应该是行动 · Self-hostable AI information engine: multi-source aggregation, cross-source event dedup, AI curation, info-to-action loop
The repository contains data and scripts for the study "From Prediction Markets to Interpretable Collective Intelligence" by Alexey V. Osipov and Nikolay N. Osipov (arXiv:2204.13424 [cs.GT]).
AI-powered daily briefing system for information aggregation, image reports, and robot push notifications.
Generates a morning briefing from sources you configure: news by topic, weather, calendar, tasks, and platform alerts (Reddit, X, email, iMessage, Discord). Config-as-personality — you only see what you turn on.
When do prediction markets beat static pools? A controlled stress test of LLM belief aggregation against a known Bayes-optimal posterior. LMSR markets, quality-matched teams, adversaries, and a capability axis — released data + one-command repro.
Cross-Platform Intelligent Information Aggregation & Trend Insight Engine | 全平台智能信息聚合与趋势洞察引擎
标讯雷达 BidScope：证据可追溯的多源招投标智能聚合与增量订阅系统｜2026 AI先锋未来人才大赛超聚变命题
Add a description, image, and links to the information-aggregation topic page so that developers can more easily learn about it.
To associate your repository with the information-aggregation topic, visit your repo's landing page and select "manage topics."