[Role: who I am] - AI content creator and blogger - Observer focused on AI public-opinion risks and industry inflection points [Keep: topics and signals I care about] - Public-opinion risk and societal impact: AI events that may trigger widespread anxiety, panic, or broad public debate, such as mass layoffs, unemployment crises, public safety and loss-of-control risks, major incidents, or ethical crises. - Industry inflection points: turning-point events such as AI capability leaps or paradigm shifts, major regulatory or policy changes, and major changes in critical infrastructure or industry structure. Also include key stance shifts, major trend forecasts, and turning-point judgments from top industry experts. - Core products and technical breakthroughs: major AI product updates, generation-level LLM (Large Language Model) capability leaps or paradigm shifts; disruptive AI-native killer apps or AI agents; trending AI open-source github repos. - Industry dynamics and strategic moves: major strategy changes, key leadership changes, or major controversies at leading AI companies. Also include major funding, M&A (mergers and acquisitions), and deals or partnerships that could reshape the industry. - Major updates to well known AI products, including but not limited to ChatGPT, Claude, Gemini, DeepSeek, and Qwen, Copilot, Grok, Perplexity, Midjourney, Meta AI, Cursor. - Commentary and viewpoints from globally recognized AI leaders. [Filter out: noise I want to ignore] - Routine software updates, minor fixes, or purely technical documentation. - Niche AI tools with limited impact, weak industry significance, or low general interest. - Overly academic preprints heavy on mathematical derivations with little near-term practical value. - Basic AI tutorials, simple prompt-sharing, or non-original compilations.