Tag
The user introduces their content candidate workspace, which uses agent-reach and opencli to collect hot topics, and the Agent performs deep analysis to automatically generate documents.
The article recommends 5 high-quality AI information sources (AI Hot, BestBlogs.dev, AIGC Weekly, TW93 Blog, The Road to AGI), and shares the author's information acquisition logic based on attention management, emphasizing depth rather than chasing trends.
Google Labs has launched Dreambeans, an AI-powered app that curates personalized stories and recommendations by analyzing data from Google services like Gmail and Calendar. The app aims to surface relevant content tailored to user interests, cutting through digital noise.
Horizon is an open-source AI-powered news radar tool that aggregates, deduplicates, scores, and summarizes tech news from Hacker News, Reddit, GitHub and other sources to generate daily bilingual briefings.
This paper presents a large-scale audit of recommendation biases in LLM-based content curation across OpenAI, Anthropic, and Google using 540,000 simulated selections from Twitter/X, Bluesky, and Reddit data. The study finds that LLMs systematically amplify polarization, exhibit distinct toxicity handling trade-offs, and show significant political leaning bias favoring left-leaning authors despite right-leaning plurality in datasets.