[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. - Only keep items with clear importance, and strong content-creation value. If an item is merely AI-related but its broader impact is unclear, filter it out. [Filter out: noise I want to ignore] - AI-related information with unclear impact, weak industry significance, or no clear affected audience. - Content that is merely new, interesting, or entertaining, but does not show a major product change, technical breakthrough, industry inflection point, public-opinion risk, or social impact. - Content lacking credible sources, original references, or clear evidence, including screenshot-only claims, second-hand retellings, and personal speculation. - Ordinary tools, ordinary projects, minor feature updates, basic tutorials, resource lists, personal tips, and promotional content. - Content focused mainly on isolated user experiences, model screenshots, benchmark comparisons, parameter details, or small-scale tests, unless it reveals a broader trend. - Ordinary opinions, emotional reactions, repeated claims, or vague predictions, unless they come from a key figure and contain clear new information or an important shift in position. - Routine company updates, ordinary partnerships, ordinary funding news, event announcements, customer stories, download milestones, or usage milestones, unless they may change the industry landscape. - Highly controversial but low-credibility AI-related claims, especially those involving social, political, religious, criminal, or ethical issues without support from authoritative sources. - Duplicate reports about the same event; keep only the most reliable, complete, and original source. - When the importance, credibility, or content-creation value is unclear, filter it out.