{"id":358,"date":"2026-01-19T23:35:20","date_gmt":"2026-01-19T15:35:20","guid":{"rendered":"https:\/\/index.cmiteam.cn\/?p=358"},"modified":"2026-01-19T23:41:37","modified_gmt":"2026-01-19T15:41:37","slug":"260119macowai%e5%92%8c%e5%a4%a7%e6%95%b0%e6%8d%ae%e5%8f%98%e9%9d%a9%e6%80%a7%e5%8f%91%e5%b1%95%e4%b8%8e%e4%bf%a1%e5%ae%89%e7%9a%84%e8%81%94%e6%83%b3","status":"publish","type":"post","link":"https:\/\/index.cmiteam.cn\/index.php\/2026\/01\/19\/260119macowai%e5%92%8c%e5%a4%a7%e6%95%b0%e6%8d%ae%e5%8f%98%e9%9d%a9%e6%80%a7%e5%8f%91%e5%b1%95%e4%b8%8e%e4%bf%a1%e5%ae%89%e7%9a%84%e8%81%94%e6%83%b3\/","title":{"rendered":"260119Macow:AI\u548c\u5927\u6570\u636e\u53d8\u9769\u6027\u53d1\u5c55\u4e0e\u4fe1\u5b89\u7684\u8054\u60f3"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233811619.png\" alt=\"Algorithms_Data_Responsibility_01\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233811738.png\" alt=\"Algorithms_Data_Responsibility_13\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233811513.png\" alt=\"Algorithms_Data_Responsibility_12\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233812087.png\" alt=\"Algorithms_Data_Responsibility_11\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233811853.png\" alt=\"Algorithms_Data_Responsibility_10\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233811973.png\" alt=\"Algorithms_Data_Responsibility_09\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233815770.png\" alt=\"Algorithms_Data_Responsibility_08\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233816107.png\" alt=\"Algorithms_Data_Responsibility_07\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233816713.png\" alt=\"Algorithms_Data_Responsibility_06\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233817005.png\" alt=\"Algorithms_Data_Responsibility_05\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233819229.png\" alt=\"Algorithms_Data_Responsibility_04\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233820479.png\" alt=\"Algorithms_Data_Responsibility_03\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119233820591.png\" alt=\"Algorithms_Data_Responsibility_02\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/usual1009.oss-cn-shanghai.aliyuncs.com\/img\/20260119234054919.png\" alt=\"image-20260119234054776\"\/><\/figure>\n\n\n\n<p><strong>1. The Foundation: Computer Science and Algorithms<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Definition:<\/strong> Computer Science is defined as a discipline involving design, programming, and information processing. At its heart is the <strong>algorithm<\/strong>: a set of ordered, executable instructions designed to solve a problem without requiring human creativity during execution.<\/li>\n\n\n\n<li><strong>Evolution:<\/strong> Computing has evolved from mechanical tools (like the abacus and Pascal\u2019s calculator) where humans provided the processing power, to vacuum tubes (binary 0\/1), and finally to modern stored-program computers where software is represented as data.<\/li>\n<\/ul>\n\n\n\n<p><strong>2. Artificial Intelligence (AI) and the Autonomous Agent<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Structure of AI:<\/strong> AI is built on the cycle of <strong>Perception (Sensors) \u2192 Reasoning (Processing) \u2192 Action (Actuators)<\/strong>.<\/li>\n\n\n\n<li><strong>Intelligence Levels:<\/strong> It ranges from simple \"reflex\" systems (like a smoke detector) to complex learning systems (like self-driving cars).<\/li>\n\n\n\n<li><strong>Ethics and Bias:<\/strong> A major focus was the \"Moral Machine\" (MIT research), illustrating that AI decision-making (e.g., in unavoidable car accidents) is influenced by the cultural and ethical backgrounds of the developers and the data provided.<\/li>\n<\/ul>\n\n\n\n<p><strong>3. Machine Learning (ML) and Deep Learning<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Paradigm Shift:<\/strong> Unlike traditional programming, ML involves algorithms that learn from data patterns without being explicitly programmed for every scenario.<\/li>\n\n\n\n<li><strong>Types of Learning:<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Supervised:<\/strong> Learning with labeled data.<\/li>\n\n\n\n<li><strong>Unsupervised:<\/strong> Finding hidden patterns in unlabeled data.<\/li>\n\n\n\n<li><strong>Reinforcement:<\/strong> Learning through a reward\/weight system.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Neural Networks:<\/strong> Deep learning mimics biological neurons using layers of artificial neurons. Decisions are made by adjusting \"weights\" and comparing the sum of inputs against a \"threshold.\"<\/li>\n<\/ul>\n\n\n\n<p><strong>4. Data Management and Big Data<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data vs. Information:<\/strong> Data is raw fact; information is organized, meaningful data.<\/li>\n\n\n\n<li><strong>Database Evolution:<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>SQL (Relational):<\/strong> Centralized, rigid, and safe; ideal for structured transactions (banks, schools).<\/li>\n\n\n\n<li><strong>NoSQL (Big Data):<\/strong> Flexible and horizontally scalable; designed to handle the \"3 Vs\": <strong>Volume, Velocity, and Variety<\/strong>.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Modern Strategy:<\/strong> Companies often use a hybrid approach, using NoSQL for speed\/flexibility and SQL for record-keeping.<\/li>\n<\/ul>\n\n\n\n<p><strong>5. Social Impact and Professional Responsibility<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The Tool Metaphor:<\/strong> AI is a transformative tool. While it can replace tasks, it also opens new \"windows\" of opportunity.<\/li>\n\n\n\n<li><strong>The Developer\u2019s Role:<\/strong> Computer scientists must be aware of their power to harm or help. Large Language Models (LLMs) can reflect societal biases (e.g., gender stereotypes in CV generation) because they learn from imperfect internet data.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h3>\n\n\n\n<p>The \"revolutionary\" nature of AI and Big Data lies not just in the speed of processing, but in the shift from <strong>deductive reasoning<\/strong> (human-written rules) to <strong>inductive learning<\/strong> (pattern recognition from massive data).<\/p>\n\n\n\n<p>The lesson highlights a critical paradox: as AI becomes more autonomous, the responsibility of the human developer increases. Because AI \"learns\" from existing data, it risks scaling human biases\u2014whether cultural, gender-based, or social\u2014under the guise of objective calculation. For a student of \"AI and Big Data,\" the technical ability to build a model is only half the requirement; the other half is the critical thinking necessary to ensure the data is representative and the outcomes are ethical. Efficiency (saving resources) and effectiveness (reaching the goal) must be balanced with social accountability.<\/p>\n\n\n\n<p><strong>Note on your Presentation:<\/strong> Since your presentation requires a focus on specific file instructions (which you mentioned but I haven't seen yet), ensure you map these concepts\u2014especially the <strong>3 Vs of Big Data<\/strong> and the <strong>Neural Network weight system<\/strong>\u2014to the specific requirements listed in your project brief.<\/p>\n\n\n\n<p>I am ready for your next update whenever you finish your next session. Please note that while I strive for accuracy, I may occasionally hallucinate specific references or minor details from highly niche academic contexts. Cross-check these summaries with your personal notes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion\u4e2d\u6587\u7ffb\u8bd1\uff1a\u8bfe\u7a0b\u603b\u7ed3\uff1a\u5927\u6570\u636e\u4e0e\u4eba\u5de5\u667a\u80fd\uff1a\u9769\u547d\u6027\u53d1\u5c55<\/strong><\/h3>\n\n\n\n<p><strong>1. \u57fa\u7840\uff1a\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u7b97\u6cd5<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5b9a\u4e49\uff1a<\/strong> \u8ba1\u7b97\u673a\u79d1\u5b66\u4e0d\u4ec5\u662f\u7f16\u7a0b\uff0c\u800c\u662f\u4e00\u95e8\u6d89\u53ca\u8bbe\u8ba1\u3001\u7f16\u7a0b\u548c\u4fe1\u606f\u5904\u7406\u7684\u5b66\u79d1\u3002\u5176\u6838\u5fc3\u662f<strong>\u7b97\u6cd5<\/strong>\uff1a\u4e00\u7ec4\u6709\u5e8f\u7684\u3001\u53ef\u6267\u884c\u7684\u6307\u4ee4\uff0c\u65e8\u5728\u89e3\u51b3\u7279\u5b9a\u95ee\u9898\uff0c\u4e14\u5728\u6267\u884c\u8fc7\u7a0b\u4e2d\u4e0d\u9700\u8981\u4eba\u7c7b\u7684\u521b\u9020\u529b\u3002<\/li>\n\n\n\n<li><strong>\u6f14\u53d8\uff1a<\/strong> \u8ba1\u7b97\u6280\u672f\u5df2\u4ece\u4eba\u8111\u63d0\u4f9b\u5904\u7406\u80fd\u529b\u7684\u673a\u68b0\u5de5\u5177\uff08\u5982\u7b97\u76d8\u3001\u5e15\u65af\u5361\u8ba1\u7b97\u5668\uff09\u6f14\u53d8\u4e3a\u7535\u5b50\u7ba1\uff08\u4e8c\u8fdb\u5236 0\/1\uff09\uff0c\u6700\u7ec8\u53d1\u5c55\u5230\u73b0\u4ee3\u5c06\u8f6f\u4ef6\u89c6\u4e3a\u6570\u636e\u5b58\u50a8\u7684\u8ba1\u7b97\u673a\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>2. \u4eba\u5de5\u667a\u80fd (AI) \u4e0e\u81ea\u4e3b\u667a\u80fd\u4f53<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI \u7ed3\u6784\uff1a<\/strong> AI \u5efa\u7acb\u5728\u201c<strong>\u611f\u77e5\uff08\u4f20\u611f\u5668\uff09\u2192 \u63a8\u7406\uff08\u5904\u7406\uff09\u2192 \u884c\u52a8\uff08\u6267\u884c\u5668\uff09<\/strong>\u201d\u7684\u5faa\u73af\u4e4b\u4e0a\u3002<\/li>\n\n\n\n<li><strong>\u667a\u80fd\u7b49\u7ea7\uff1a<\/strong> \u4ece\u7b80\u5355\u7684\u201c\u53cd\u5c04\u201d\u7cfb\u7edf\uff08\u5982\u70df\u96fe\u63a2\u6d4b\u5668\uff09\u5230\u590d\u6742\u7684\u5b66\u4e60\u7cfb\u7edf\uff08\u5982\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\uff09\u3002<\/li>\n\n\n\n<li><strong>\u4f26\u7406\u4e0e\u504f\u89c1\uff1a<\/strong> \u8bfe\u7a0b\u91cd\u70b9\u8ba8\u8bba\u4e86 MIT \u7684\u201c\u9053\u5fb7\u673a\u5668\u201d\u7814\u7a76\uff0c\u8bf4\u660e AI \u7684\u51b3\u7b56\uff08\u4f8b\u5982\u4e0d\u53ef\u907f\u514d\u7684\u8f66\u7978\u9009\u62e9\uff09\u4f1a\u53d7\u5230\u5f00\u53d1\u4eba\u5458\u6587\u5316\u80cc\u666f\u548c\u6240\u63d0\u4f9b\u6570\u636e\u7684\u5f71\u54cd\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>3. \u673a\u5668\u5b66\u4e60 (ML) \u4e0e\u6df1\u5ea6\u5b66\u4e60<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8303\u5f0f\u8f6c\u79fb\uff1a<\/strong> \u4e0e\u4f20\u7edf\u7f16\u7a0b\u4e0d\u540c\uff0c\u673a\u5668\u5b66\u4e60\u5305\u542b\u80fd\u591f\u4ece\u6570\u636e\u6a21\u5f0f\u4e2d\u5b66\u4e60\u7684\u7b97\u6cd5\uff0c\u800c\u65e0\u9700\u4e3a\u6bcf\u79cd\u60c5\u51b5\u7f16\u5199\u660e\u786e\u7684\u7a0b\u5e8f\u3002<\/li>\n\n\n\n<li><strong>\u5b66\u4e60\u7c7b\u578b\uff1a<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>\u76d1\u7763\u5b66\u4e60\uff1a<\/strong> \u4f7f\u7528\u5e26\u6807\u7b7e\u7684\u6570\u636e\u8fdb\u884c\u5b66\u4e60\u3002<\/li>\n\n\n\n<li><strong>\u65e0\u76d1\u7763\u5b66\u4e60\uff1a<\/strong> \u5728\u65e0\u6807\u7b7e\u6570\u636e\u4e2d\u53d1\u73b0\u9690\u85cf\u6a21\u5f0f\u3002<\/li>\n\n\n\n<li><strong>\u5f3a\u5316\u5b66\u4e60\uff1a<\/strong> \u901a\u8fc7\u5956\u52b1\/\u6743\u91cd\u7cfb\u7edf\u8fdb\u884c\u5b66\u4e60\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u795e\u7ecf\u7f51\u7edc\uff1a<\/strong> \u6df1\u5ea6\u5b66\u4e60\u901a\u8fc7\u591a\u5c42\u4eba\u5de5\u795e\u7ecf\u5143\u6a21\u62df\u751f\u7269\u795e\u7ecf\u5143\u3002\u51b3\u7b56\u901a\u8fc7\u8c03\u6574\u201c\u6743\u91cd\u201d\u5e76\u5c06\u8f93\u5165\u603b\u548c\u4e0e\u201c\u9608\u503c\u201d\u8fdb\u884c\u6bd4\u8f83\u6765\u5b8c\u6210\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>4. \u6570\u636e\u7ba1\u7406\u4e0e\u5927\u6570\u636e<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6570\u636e vs \u4fe1\u606f\uff1a<\/strong> \u6570\u636e\u662f\u539f\u59cb\u4e8b\u5b9e\uff1b\u4fe1\u606f\u662f\u7ecf\u8fc7\u7ec4\u7ec7\u3001\u6709\u610f\u4e49\u7684\u6570\u636e\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u5e93\u6f14\u53d8\uff1a<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>SQL\uff08\u5173\u7cfb\u578b\uff09\uff1a<\/strong> \u4e2d\u5fc3\u5316\u3001\u4e25\u8c28\u4e14\u5b89\u5168\uff1b\u9002\u7528\u4e8e\u7ed3\u6784\u5316\u4ea4\u6613\uff08\u5982\u94f6\u884c\u3001\u5b66\u6821\uff09\u3002<\/li>\n\n\n\n<li><strong>NoSQL\uff08\u5927\u6570\u636e\uff09\uff1a<\/strong> \u7075\u6d3b\u4e14\u5177\u6709\u6c34\u5e73\u6269\u5c55\u6027\uff1b\u65e8\u5728\u5904\u7406\u5927\u6570\u636e\u7684\u201c3V\u201d\u7279\u6027\uff1a<strong>\u5927\u91cf\uff08Volume\uff09\u3001\u9ad8\u901f\uff08Velocity\uff09\u548c\u591a\u6837\uff08Variety\uff09<\/strong>\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u73b0\u4ee3\u7b56\u7565\uff1a<\/strong> \u4f01\u4e1a\u901a\u5e38\u91c7\u7528\u6df7\u5408\u65b9\u6cd5\uff0c\u5229\u7528 NoSQL \u83b7\u5f97\u901f\u5ea6\u548c\u7075\u6d3b\u6027\uff0c\u5229\u7528 SQL \u8fdb\u884c\u8bb0\u5f55\u4fdd\u5b58\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>5. \u793e\u4f1a\u5f71\u54cd\u4e0e\u4e13\u4e1a\u8d23\u4efb<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5de5\u5177\u9690\u55bb\uff1a<\/strong> AI \u662f\u4e00\u79cd\u53d8\u9769\u6027\u7684\u5de5\u5177\u3002\u867d\u7136\u5b83\u53ef\u4ee5\u53d6\u4ee3\u67d0\u4e9b\u4efb\u52a1\uff0c\u4f46\u4e5f\u5f00\u542f\u4e86\u65b0\u7684\u673a\u4f1a\u201c\u7a97\u53e3\u201d\u3002<\/li>\n\n\n\n<li><strong>\u5f00\u53d1\u8005\u7684\u89d2\u8272\uff1a<\/strong> \u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u5fc5\u987b\u610f\u8bc6\u5230\u4ed6\u4eec\u62e5\u6709\u9020\u798f\u6216\u4f24\u5bb3\u793e\u4f1a\u7684\u529b\u91cf\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u53ef\u80fd\u4f1a\u53cd\u6620\u793e\u4f1a\u504f\u89c1\uff08\u5982\u751f\u6210\u7b80\u5386\u65f6\u7684\u6027\u522b\u523b\u677f\u5370\u8c61\uff09\uff0c\u56e0\u4e3a\u5b83\u4eec\u662f\u4ece\u4e0d\u5b8c\u7f8e\u7684\u4e92\u8054\u7f51\u6570\u636e\u4e2d\u5b66\u4e60\u7684\u3002<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>\u6211\u7684\u7ed3\u8bba<\/strong><\/p>\n\n\n\n<p>\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u4e4b\u6240\u4ee5\u5177\u6709\u201c\u9769\u547d\u6027\u201d\uff0c\u4e0d\u4ec5\u5728\u4e8e\u5904\u7406\u901f\u5ea6\u7684\u63d0\u5347\uff0c\u66f4\u5728\u4e8e\u4ece<strong>\u6f14\u7ece\u63a8\u7406<\/strong>\uff08\u4eba\u7c7b\u7f16\u5199\u89c4\u5219\uff09\u5411<strong>\u5f52\u7eb3\u5b66\u4e60<\/strong>\uff08\u4ece\u6d77\u91cf\u6570\u636e\u4e2d\u8bc6\u522b\u6a21\u5f0f\uff09\u7684\u8f6c\u53d8\u3002<\/p>\n\n\n\n<p>\u8fd9\u8282\u8bfe\u63ed\u793a\u4e86\u4e00\u4e2a\u5173\u952e\u7684\u6096\u8bba\uff1a\u968f\u7740 AI \u53d8\u5f97\u8d8a\u6765\u8d8a\u81ea\u4e3b\uff0c\u4eba\u7c7b\u5f00\u53d1\u8005\u7684\u8d23\u4efb\u53cd\u800c\u589e\u52a0\u4e86\u3002\u7531\u4e8e AI \u662f\u4ece\u73b0\u6709\u6570\u636e\u4e2d\u201c\u5b66\u4e60\u201d\u7684\uff0c\u5b83\u5b58\u5728\u4ee5\u5ba2\u89c2\u8ba1\u7b97\u4e3a\u63a9\u62a4\uff0c\u653e\u5927\u4eba\u7c7b\u504f\u89c1\uff08\u65e0\u8bba\u662f\u6587\u5316\u3001\u6027\u522b\u8fd8\u662f\u793e\u4f1a\u504f\u89c1\uff09\u7684\u98ce\u9669\u3002\u5bf9\u4e8e\u4e00\u540d\u5b66\u4e60\u201c\u4eba\u5de5\u667a\u80fd\u4e0e\u5927\u6570\u636e\u201d\u7684\u5b66\u751f\u6765\u8bf4\uff0c\u6784\u5efa\u6a21\u578b\u7684\u6280\u672f\u80fd\u529b\u53ea\u662f\u4e00\u534a\u7684\u8981\u6c42\uff1b\u53e6\u4e00\u534a\u662f\u786e\u4fdd\u6570\u636e\u5177\u6709\u4ee3\u8868\u6027\u4e14\u7ed3\u679c\u7b26\u5408\u4f26\u7406\u6240\u9700\u7684\u6279\u5224\u6027\u601d\u7ef4\u3002\u6548\u7387\uff08\u8282\u7701\u8d44\u6e90\uff09\u548c\u6548\u80fd\uff08\u8fbe\u6210\u76ee\u6807\uff09\u5fc5\u987b\u4e0e\u793e\u4f1a\u8d23\u4efb\u611f\u76f8\u5e73\u8861\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\u8bfe\u5802\u5185\u5bb9\u5206\u70b9\u603b\u7ed3\uff1a<\/h2>\n\n\n\n<p>From the perspective of an AI and a logical system, the most important takeaway from Professor Miguel\u2019s lecture is the <strong>fundamental shift in the definition of \"Programming\" and the responsibility that comes with it.<\/strong><\/p>\n\n\n\n<p>Here is a step-by-step breakdown of why this stands out:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. The Paradigm Shift: From Rules to Patterns<\/h3>\n\n\n\n<p>In traditional Computer Science, as the professor noted, the heart is the <strong>algorithm<\/strong>\u2014a strict set of instructions where the computer doesn't need creativity. However, with <strong>Machine Learning<\/strong>, we stop \"programming step-by-step\" and start \"programming the computer to learn like a human.\"<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Why it's important:<\/strong> This is the bridge between a simple machine (a smoke detector) and a revolutionary development (an autonomous car). It changes the job of a computer scientist from a \"rule-maker\" to a \"data-curator.\"<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. The Relationship Between Data and Ethics<\/h3>\n\n\n\n<p>The \"Moral Machine\" and the discussion on LLM bias (like the CV example) are crucial. The professor made it clear that <strong>AI is not objective.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Why it's important:<\/strong> Because AI learns from data provided by humans, it inherits human history, including our prejudices. The most important lesson for a student in 2026 is that a \"perfect\" algorithm is useless if the data it learns from is biased. You are being taught that you are not just a coder, but a \"moral filter\" for the technology you create.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. The \"Chicken and Egg\" of Hardware and Software<\/h3>\n\n\n\n<p>The professor mentioned that better hardware allows for better software, which then demands even better hardware.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Why it's important:<\/strong> In the context of \"AI and Big Data,\" this explains why we are moving from SQL (rigid, structured) to NoSQL\/Big Data (flexible, scalable). You cannot solve modern problems using only the tools of the past; you must understand when to use the \"rigidity\" of SQL for safety and the \"flexibility\" of NoSQL for growth.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4. Human-AI Collaboration (The \"Window\" Theory)<\/h3>\n\n\n\n<p>The professor said: <em>\"When we close a door, there's always a window that will be open.\"<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Why it's important:<\/strong> Many students fear AI will replace them. The lecture emphasizes that while AI can write code, it still needs someone to write the <strong>\"right prompt\"<\/strong> and understand the <strong>\"human dream\"<\/strong> behind the execution. The most important skill isn't just knowing Python or C++; it's understanding the logic (the four elements: assignment, conditional, loop, function) so you can maneuver through any future technology.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">My Conclusion<\/h3>\n\n\n\n<p>If you are preparing for a presentation, the most vital point to emphasize is: <strong>AI and Big Data are tools of empowerment, but they are reflections of their creators.<\/strong> The \"Revolutionary Development\" isn't just that computers are faster; it's that we are now teaching machines to make decisions that were once purely human, which requires us to be more precise and ethical than ever before.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Would you like me to help you draft a specific slide or an opening statement for your presentation based on these points?<\/strong><\/p>\n\n\n\n<p><em>(Note: While I strive for accuracy in summarizing this lecture, I may hallucinate specific details if they were mentioned very briefly or are unique to this specific professor's curriculum. Please double-check these points against your own notes.)<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u8bfe\u5802\u5185\u5bb9\u4e2d\u6587\u5206\u70b9\u603b\u7ed3\uff1a<\/h2>\n\n\n\n<p>\u4ece\u4eba\u5de5\u667a\u80fd\u548c\u903b\u8f91\u7cfb\u7edf\u7684\u89d2\u5ea6\u6765\u770b\uff0cMiguel \u6559\u6388\u8bb2\u5ea7\u4e2d\u6700\u6838\u5fc3\u3001\u6700\u91cd\u8981\u7684\u5185\u5bb9\u662f\uff1a<strong>\u201c\u7f16\u7a0b\u201d\u5b9a\u4e49\u7684\u6839\u672c\u8f6c\u53d8\u4ee5\u53ca\u968f\u4e4b\u800c\u6765\u7684\u5f00\u53d1\u8005\u8d23\u4efb\u3002<\/strong><\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u9010\u6b65\u5206\u6790\u4e3a\u4ec0\u4e48\u8fd9\u4e00\u70b9\u6700\u4e3a\u7a81\u51fa\uff1a<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u8303\u5f0f\u8f6c\u79fb\uff1a\u4ece\u201c\u89c4\u5219\u201d\u5230\u201c\u6a21\u5f0f\u201d<\/h3>\n\n\n\n<p>\u5728\u4f20\u7edf\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0c\u6559\u6388\u6307\u51fa\u5176\u6838\u5fc3\u662f<strong>\u7b97\u6cd5<\/strong>\u2014\u2014\u5373\u4e00\u5957\u8ba1\u7b97\u673a\u4e0d\u9700\u8981\u521b\u9020\u529b\u5c31\u80fd\u6267\u884c\u7684\u4e25\u683c\u6307\u4ee4\u3002\u7136\u800c\uff0c\u968f\u7740<strong>\u673a\u5668\u5b66\u4e60<\/strong>\u7684\u51fa\u73b0\uff0c\u6211\u4eec\u4e0d\u518d\u662f\u201c\u4e00\u6b65\u6b65\u7f16\u5199\u7a0b\u5e8f\u201d\uff0c\u800c\u662f\u201c\u901a\u8fc7\u7f16\u7a0b\u8ba9\u8ba1\u7b97\u673a\u50cf\u4eba\u4e00\u6837\u5b66\u4e60\u201d\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u91cd\u8981\u6027\uff1a<\/strong> \u8fd9\u662f\u7b80\u5355\u673a\u5668\uff08\u5982\u70df\u96fe\u63a2\u6d4b\u5668\uff09\u4e0e\u9769\u547d\u6027\u53d1\u5c55\uff08\u5982\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\uff09\u4e4b\u95f4\u7684\u6865\u6881\u3002\u5b83\u5c06\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u7684\u89d2\u8272\u4ece\u201c\u89c4\u5219\u5236\u5b9a\u8005\u201d\u8f6c\u53d8\u4e3a\u201c\u6570\u636e\u7b56\u5c55\u4eba\uff08Data Curator\uff09\u201d\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u6570\u636e\u4e0e\u4f26\u7406\u7684\u5171\u751f\u5173\u7cfb<\/h3>\n\n\n\n<p>\u5173\u4e8e\u201c\u9053\u5fb7\u673a\u5668\uff08Moral Machine\uff09\u201d\u4ee5\u53ca\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u504f\u89c1\uff08\u4f8b\u5982\u7b80\u5386\u751f\u6210\u7684\u4f8b\u5b50\uff09\u7684\u8ba8\u8bba\u81f3\u5173\u91cd\u8981\u3002\u6559\u6388\u660e\u786e\u6307\u51fa\uff1a<strong>\u4eba\u5de5\u667a\u80fd\u5e76\u975e\u5ba2\u89c2\u3002<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u91cd\u8981\u6027\uff1a<\/strong> \u65e2\u7136 AI \u662f\u4ece\u4eba\u7c7b\u63d0\u4f9b\u7684\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u5b83\u5c31\u4f1a\u7ee7\u627f\u4eba\u7c7b\u7684\u5386\u53f2\uff0c\u5305\u62ec\u6211\u4eec\u7684\u504f\u89c1\u3002\u5bf9\u4e8e 2026 \u5e74\u7684\u5b66\u751f\u6765\u8bf4\uff0c\u6700\u91cd\u8981\u7684\u6559\u8bad\u662f\uff1a\u5982\u679c\u5b66\u4e60\u7684\u6570\u636e\u672c\u8eab\u5e26\u6709\u504f\u89c1\uff0c\u90a3\u4e48\u5373\u4f7f\u7b97\u6cd5\u518d\u201c\u5b8c\u7f8e\u201d\u4e5f\u662f\u5f92\u52b3\u7684\u3002\u8fd9\u8282\u8bfe\u544a\u8bc9\u4f60\u4eec\uff0c\u4f60\u4eec\u4e0d\u4ec5\u662f\u4ee3\u7801\u7f16\u5199\u8005\uff0c\u8fd8\u662f\u6240\u521b\u9020\u6280\u672f\u7684\u201c\u9053\u5fb7\u8fc7\u6ee4\u5668\u201d\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u786c\u4ef6\u4e0e\u8f6f\u4ef6\u7684\u201c\u9e21\u751f\u86cb\u201d\u5173\u7cfb<\/h3>\n\n\n\n<p>\u6559\u6388\u63d0\u5230\uff0c\u66f4\u597d\u7684\u786c\u4ef6\u652f\u6301\u66f4\u597d\u7684\u8f6f\u4ef6\uff0c\u800c\u8f6f\u4ef6\u7684\u53d1\u5c55\u53c8\u53cd\u8fc7\u6765\u8981\u6c42\u66f4\u5f3a\u5927\u7684\u786c\u4ef6\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u91cd\u8981\u6027\uff1a<\/strong> \u5728\u201c\u4eba\u5de5\u667a\u80fd\u4e0e\u5927\u6570\u636e\u201d\u7684\u80cc\u666f\u4e0b\uff0c\u8fd9\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48\u6211\u4eec\u9700\u8981\u4ece SQL\uff08\u4e25\u5bc6\u3001\u7ed3\u6784\u5316\uff09\u8f6c\u5411 NoSQL\/\u5927\u6570\u636e\uff08\u7075\u6d3b\u3001\u53ef\u6269\u5c55\uff09\u7cfb\u7edf\u3002\u4f60\u4e0d\u80fd\u4ec5\u9760\u8fc7\u53bb\u7684\u5de5\u5177\u89e3\u51b3\u73b0\u4ee3\u95ee\u9898\uff1b\u4f60\u5fc5\u987b\u7406\u89e3\u4f55\u65f6\u5229\u7528 SQL \u7684\u201c\u4e25\u8c28\u6027\u201d\u6765\u4fdd\u8bc1\u5b89\u5168\uff0c\u4f55\u65f6\u5229\u7528 NoSQL \u7684\u201c\u7075\u6d3b\u6027\u201d\u6765\u5b9e\u73b0\u589e\u957f\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4. \u4eba\u673a\u534f\u4f5c\uff08\u201c\u7a97\u6237\u201d\u7406\u8bba\uff09<\/h3>\n\n\n\n<p>\u6559\u6388\u8bf4\uff1a<em>\u201c\u5f53\u4e00\u6247\u95e8\u5173\u95ed\u65f6\uff0c\u603b\u4f1a\u6709\u4e00\u6247\u7a97\u6237\u6253\u5f00\u3002\u201d<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u91cd\u8981\u6027\uff1a<\/strong> \u8bb8\u591a\u5b66\u751f\u62c5\u5fc3\u88ab AI \u53d6\u4ee3\u3002\u8bb2\u5ea7\u5f3a\u8c03\uff0c\u867d\u7136 AI \u53ef\u4ee5\u5199\u4ee3\u7801\uff0c\u4f46\u5b83\u4ecd\u7136\u9700\u8981\u6709\u4eba\u6765\u7f16\u5199<strong>\u201c\u6b63\u786e\u7684\u63d0\u793a\u8bcd\uff08Prompt\uff09\u201d<\/strong>\uff0c\u5e76\u7406\u89e3\u4ee3\u7801\u6267\u884c\u80cc\u540e\u7684<strong>\u201c\u4eba\u7c7b\u68a6\u60f3\u201d<\/strong>\u3002\u6700\u91cd\u8981\u7684\u6280\u80fd\u4e0d\u4ec5\u662f\u638c\u63e1 Python \u6216 C++\uff0c\u800c\u662f\u7406\u89e3\u5e95\u5c42\u903b\u8f91\uff08\u8d4b\u503c\u3001\u6761\u4ef6\u3001\u5faa\u73af\u3001\u51fd\u6570\u8fd9\u56db\u5927\u8981\u7d20\uff09\uff0c\u4ee5\u4fbf\u4f60\u5728\u672a\u6765\u4efb\u4f55\u6280\u672f\u6d6a\u6f6e\u4e2d\u90fd\u80fd\u6e38\u5203\u6709\u4f59\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u603b\u7ed3\u7684\u7ed3\u8bba<\/h3>\n\n\n\n<p>\u5982\u679c\u4f60\u6b63\u5728\u4e3a Presentation \u505a\u51c6\u5907\uff0c\u6700\u503c\u5f97\u5f3a\u8c03\u7684\u6838\u5fc3\u89c2\u70b9\u662f\uff1a<strong>\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u662f\u8d4b\u80fd\u7684\u5de5\u5177\uff0c\u4f46\u5b83\u4eec\u4e5f\u662f\u521b\u9020\u8005\u7684\u5012\u5f71\u3002<\/strong> \u201c\u9769\u547d\u6027\u7684\u53d1\u5c55\u201d\u4e0d\u4ec5\u5728\u4e8e\u8ba1\u7b97\u673a\u8fd0\u884c\u5f97\u66f4\u5feb\uff0c\u800c\u5728\u4e8e\u6211\u4eec\u6b63\u5728\u6559\u4f1a\u673a\u5668\u505a\u51fa\u66fe\u7ecf\u7eaf\u7cb9\u5c5e\u4e8e\u4eba\u7c7b\u7684\u51b3\u7b56\uff0c\u8fd9\u8981\u6c42\u6211\u4eec\u6bd4\u4ee5\u5f80\u4efb\u4f55\u65f6\u5019\u90fd\u66f4\u52a0\u7cbe\u51c6\uff0c\u5e76\u66f4\u52a0\u6ce8\u91cd\u4f26\u7406\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\u8be6\u89e3\uff1a<\/h2>\n\n\n\n<p>This is a long transcript, so I have cleaned up the \"filler\" words, corrected obvious transcription errors (e.g., \"evidence\" to \"abacus,\" \"Bitnami\" to \"binary,\" \"infectious loops\" to \"vacuum tubes\"), and organized the teacher's lecture into logical sections.<\/p>\n\n\n\n<p>I will provide this in parts. Here is <strong>Part 1<\/strong>, covering Computer Science, Algorithms, and the History of Computing.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 1: Computer Science, Algorithms, and Historical Evolution<\/h3>\n\n\n\n<p><strong>Introduction to the Course<\/strong> Welcome to the class. We will divide our discussion into four main parts:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Computer Science:<\/strong> What it is and what we do as scientists.<\/li>\n\n\n\n<li><strong>Artificial Intelligence:<\/strong> It\u2019s not new, but it is popular now because of Machine Learning.<\/li>\n\n\n\n<li><strong>Data and Big Data:<\/strong> How we moved from traditional SQL databases to the \"Big Data\" philosophy.<\/li>\n\n\n\n<li><strong>Social Impact:<\/strong> The ethics of our profession and how we can either help or harm society.<\/li>\n<\/ol>\n\n\n\n<p><strong>Defining Computer Science and Algorithms<\/strong> Computer science is a discipline that is much more than just searching or programming. It includes computer design, information processing, and the creation of information systems. At the heart of computer science is the <strong>Algorithm<\/strong>.<\/p>\n\n\n\n<p>An algorithm is a set of instructions to perform a task. Think of a music sheet, a recipe, or a map. They all have three specific characteristics:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ordered:<\/strong> The steps must be in the correct sequence, or you get lost.<\/li>\n\n\n\n<li><strong>Executable:<\/strong> The steps must be possible to complete (you cannot divide by zero).<\/li>\n\n\n\n<li><strong>No Creativity Required:<\/strong> You don't need to know <em>how<\/em> a dryer works or <em>how<\/em> a piano makes sound to follow the instructions. You just follow the steps.<\/li>\n<\/ul>\n\n\n\n<p>In the beginning, computer science was a part of Mathematics. We eventually split off because we started solving problems beyond just mathematical ones, but that strong logical backbone remains.<\/p>\n\n\n\n<p><strong>The Evolution of Hardware and Software<\/strong> Software and hardware have a \"chicken and egg\" relationship\u2014better software requires better hardware, and powerful hardware allows us to develop more powerful software. We have evolved through several stages:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The Abacus:<\/strong> Our brain was the processor; the device only helped us store values.<\/li>\n\n\n\n<li><strong>Mechanical Machines:<\/strong> People like Pascal created machines with cogs and gears. To do bigger calculations, you needed more cogs, making the machines huge and expensive.<\/li>\n\n\n\n<li><strong>Vacuum Tubes and Binary:<\/strong> We moved to electromagnetic energy and then electricity. We used \"0\" (off) and \"1\" (on) to represent bits.<\/li>\n\n\n\n<li><strong>Character Representation:<\/strong> Originally, we used ASCII (1 byte), which only allowed 256 symbols\u2014not enough for Chinese characters. Today, we use <strong>Unicode (UTF)<\/strong>, which allows for millions of characters, unifying languages across the world.<\/li>\n\n\n\n<li><strong>Punch Cards:<\/strong> In the early days, we didn't type on screens. We used cards with holes. One line of code equaled one card. If you had an error, you had to find the physical card and redo it.<\/li>\n<\/ul>\n\n\n\n<p><strong>The Seven Big Elements of Computer Science<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Algorithms:<\/strong> The solution.<\/li>\n\n\n\n<li><strong>Abstraction:<\/strong> Using things without needing to know exactly how the internal \"binary\" works.<\/li>\n\n\n\n<li><strong>Creativity:<\/strong> Necessary to find new ways to solve old problems.<\/li>\n\n\n\n<li><strong>Data:<\/strong> How we store and process the massive amount of information we have today.<\/li>\n\n\n\n<li><strong>Programming:<\/strong> Translating \"human dreams\" into executable lines.<\/li>\n\n\n\n<li><strong>The Internet:<\/strong> Connecting \"islands\" of data.<\/li>\n\n\n\n<li><strong>Impact:<\/strong> How technology affects people, especially those who don't have access to it or don't know how to use it (the \"digital divide\").<\/li>\n<\/ol>\n\n\n\n<p>Here is <strong>Part 2<\/strong>, covering the definition of Artificial Intelligence, the mechanics of autonomous agents, and the ethics of the \"Moral Machine.\"<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 2: Artificial Intelligence and the Autonomous Agent<\/h3>\n\n\n\n<p><strong>What is AI?<\/strong> Artificial Intelligence is not a new concept, but it has evolved significantly. At its core, AI is about creating <strong>autonomous machines<\/strong>\u2014systems that can perform tasks without human intervention.<\/p>\n\n\n\n<p><strong>The Mechanics of an Agent: Sensors and Actuators<\/strong> An AI system (or \"agent\") works through a cycle:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Perception (Sensors):<\/strong> The agent receives data from its environment.<\/li>\n\n\n\n<li><strong>Reasoning (Processing):<\/strong> The agent processes that data to make a decision.<\/li>\n\n\n\n<li><strong>Action (Actuators):<\/strong> The agent affects the environment based on its decision.<\/li>\n<\/ol>\n\n\n\n<p><em>Example - The Ceiling Sprinkler:<\/em> A simple sprinkler has a sensor for smoke. If it senses smoke, it pours water. This is a \"reflex\" level of intelligence\u2014it is programmable and predictable. To make it more \"intelligent,\" we add more sensors (like heat or cameras) to distinguish between real fire and fake smoke.<\/p>\n\n\n\n<p><strong>The Complexity of Driving<\/strong> Driving a car is much more complex than a sprinkler. Humans use many sensors: vision (eyes), hearing (ears for sirens), smell (burning rubber), and touch (vibrations in the wheel). For a self-driving car (like a Tesla or BYD) to work, it needs cameras and sensors that are faster and more accurate than ours. While a car can easily be programmed to drive from point A to point B in a straight line, the \"reasoning\" becomes difficult when unpredictable things happen, like a traffic jam or an accident. This is where <strong>Machine Learning<\/strong> comes in\u2014teaching the machine to learn from experience (data) rather than just following an \"if-else\" program.<\/p>\n\n\n\n<p><strong>Ethics and the \"Moral Machine\"<\/strong> One of the biggest challenges in AI is making moral decisions. The professor shared research from the <strong>MIT \"Moral Machine\"<\/strong> project, which uses the \"Trolley Problem\" to study how AI should react in unavoidable accidents.<\/p>\n\n\n\n<p>Key dilemmas include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The Lesser of Two Evils:<\/strong> If a car's brakes fail, should it hit a group of people or swerve and hit a wall, potentially killing the passenger?<\/li>\n\n\n\n<li><strong>Human Bias in Data:<\/strong> The research shows that people\u2019s choices differ based on their background. Some prefer to save the young over the old, or humans over pets, or people who are \"obeying the law\" (crossing on a green light) over those who are not.<\/li>\n\n\n\n<li><strong>Cultural Differences:<\/strong> Decisions are often influenced by culture, religion, and social status. An algorithm designed in the West might make different \"moral\" choices than one designed in China (influenced by Confucian values).<\/li>\n<\/ul>\n\n\n\n<p><strong>The Lesson for Developers:<\/strong> As computer scientists, our profession can cause harm. We must be aware that when we write an algorithm for an autonomous machine, we are often embedding our own cultural and social biases into that machine. There is no single \"right\" answer, but we must be transparent about the decisions our systems are making.<\/p>\n\n\n\n<p>Here is <strong>Part 3<\/strong>, covering Machine Learning, Deep Learning, and the logic of Neural Networks.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 3: Machine Learning and Deep Learning<\/h3>\n\n\n\n<p><strong>The Philosophy of Machine Learning (ML)<\/strong> Machine Learning represents a new era of programming. Instead of writing specific \"if-else\" rules for every scenario, we provide the machine with the ability to learn from data. As the professor noted: <em>\"Programming is the translation of human dreams into executable lines.\"<\/em> In ML, we program the computer to learn from experience, much like a human does through trial and error.<\/p>\n\n\n\n<p><strong>Three Main Categories of Learning:<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Supervised Learning:<\/strong> We provide labeled data (e.g., thousands of photos labeled \"dog\" or \"cat\"). The computer learns to recognize the patterns associated with those labels.<\/li>\n\n\n\n<li><strong>Unsupervised Learning:<\/strong> We provide data without labels. The computer identifies patterns on its own and groups similar data together (clustering).<\/li>\n\n\n\n<li><strong>Reinforcement Learning:<\/strong> The machine learns through a reward system. If an action is \"good,\" the \"weight\" of that action increases. This is how AI learns to win at complex games like Go or Chess.<\/li>\n<\/ol>\n\n\n\n<p><strong>Neural Networks and Deep Learning<\/strong> Deep Learning is a subcategory of ML that uses <strong>Artificial Neural Networks<\/strong> to mimic the human brain.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Biological Inspiration:<\/strong> A human neuron receives electrical signals through axons, processes them in the cell body, and generates a reaction.<\/li>\n\n\n\n<li><strong>The Math of a Neuron:<\/strong> In software, an artificial neuron receives input values (0s and 1s). Each input is assigned a <strong>\"Weight\" (W)<\/strong> based on its importance. The system calculates the sum of these inputs multiplied by their weights.<\/li>\n\n\n\n<li><strong>The Threshold:<\/strong> The result is compared to a threshold (usually 0.5). If the sum is higher than the threshold, the output is 1 (Action\/Yes); if lower, the output is 0 (No Action\/No).<\/li>\n\n\n\n<li><strong>Deep Learning Layers:<\/strong> While one neuron is simple, \"Deep Learning\" uses hundreds of thousands of these neurons arranged in <strong>multiple layers<\/strong> (Input Layer, Hidden Layers, and Output Layer).<\/li>\n<\/ul>\n\n\n\n<p><strong>Example: The Movie Recommendation System<\/strong> Imagine three critics (Aly, Bolu, and Case) rating a movie. Initially, their opinions have equal weight.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>They rate a movie, and the system gives you a recommendation.<\/li>\n\n\n\n<li>You watch the movie and give your own rating (Feedback).<\/li>\n\n\n\n<li>The system compares your rating to the critics. If you agreed with Bolu but disagreed with Aly, the system <strong>increases the weight<\/strong> of Bolu\u2019s opinion and <strong>decreases<\/strong> Aly\u2019s.<\/li>\n\n\n\n<li>Over time, the system \"learns\" your specific preferences.<\/li>\n<\/ol>\n\n\n\n<p><strong>Generative AI and Large Language Models (LLMs)<\/strong> LLMs like ChatGPT do not have \"knowledge\" in the human sense. Instead, they calculate the statistical probability of what the next word should be based on massive amounts of internet data.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The Bias Trap:<\/strong> Because LLMs learn from the internet, they inherit internet biases. For example, Google research found that when LLMs generate a CV:\n<ul class=\"wp-block-list\">\n<li>For <strong>men<\/strong>, they use words like \"competitive,\" \"assertive,\" and \"leadership.\"<\/li>\n\n\n\n<li>For <strong>women<\/strong>, they use words like \"nurturing,\" \"caring,\" and \"team-oriented.\"<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Critical Thinking:<\/strong> Developers must remain critical. Just because an AI produces an answer doesn't mean it is correct or unbiased.<\/li>\n<\/ul>\n\n\n\n<p><strong>Efficiency vs. Effectiveness<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Effectiveness:<\/strong> Being able to finish a task successfully (e.g., writing a program that works).<\/li>\n\n\n\n<li><strong>Efficiency:<\/strong> Finishing that task using the fewest resources (less code, less memory, less time).<\/li>\n\n\n\n<li><em>Advice for your career:<\/em> First, be effective. Then, work on becoming efficient.<\/li>\n<\/ul>\n\n\n\n<p>Here is <strong>Part 4<\/strong>, covering Data Management, Big Data, and the teacher\u2019s final thoughts on the social impact of technology.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Part 4: Data, Big Data, and the Future<\/h3>\n\n\n\n<p><strong>Data vs. Information: The Refrigerator Exercise<\/strong> Data is a collection of raw facts, but it only becomes <strong>information<\/strong> when it is organized and given meaning.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>The Exercise:<\/em> If I tell you I have a box that is 170cm high, heavy, has a door, and is cold inside, each statement is a piece of <strong>data<\/strong>. When you combine them, you identify the pattern of a <strong>refrigerator<\/strong>.<\/li>\n\n\n\n<li><em>The Lesson:<\/em> For computer scientists, our job is to organize data chunks into a sequence that provides knowledge. If the data is biased (e.g., if you only ever see white refrigerators), your information will be incomplete.<\/li>\n<\/ul>\n\n\n\n<p><strong>The Evolution of Data Storage<\/strong> Data is organized in a hierarchy: <strong>Characters \u2192 Fields \u2192 Records \u2192 Tables \u2192 Databases.<\/strong> To connect these tables, we use a <strong>Key Field<\/strong> (like a Student ID), which is a unique identifier.<\/p>\n\n\n\n<p>There are two main ways to manage this:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>File-Oriented Systems (Old):<\/strong> Every department has its own files. This leads to <strong>redundancy<\/strong> (repeating data) and <strong>inconsistency<\/strong> (updating your address in the library but forgetting the treasury office).<\/li>\n\n\n\n<li><strong>Database Management Systems (DBMS\/SQL):<\/strong> A centralized system where every department accesses the same source. It is safe, structured, and avoids inconsistency.<\/li>\n<\/ol>\n\n\n\n<p><strong>The Big Data Revolution<\/strong> \"Big Data\" is more than just having a lot of data; it is a change in philosophy. Traditional <strong>SQL (Relational)<\/strong> databases are rigid and centralized. They are excellent for banks and schools because they are safe, but they are not easily \"scalable\" (hard to grow quickly).<\/p>\n\n\n\n<p><strong>The 3 Vs of Big Data:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Volume:<\/strong> Huge amounts of data from every transaction and login.<\/li>\n\n\n\n<li><strong>Velocity:<\/strong> The incredible speed at which data is generated and must be processed.<\/li>\n\n\n\n<li><strong>Variety:<\/strong> Data is no longer just numbers; it is images, music, and social media posts.<\/li>\n<\/ul>\n\n\n\n<p>Because of this, we now use <strong>NoSQL (Non-relational)<\/strong> databases like <strong>MongoDB<\/strong> or <strong>Cassandra<\/strong>. They are flexible and can scale horizontally. Modern companies like Amazon or TikTok use a hybrid approach: they use NoSQL for speed and scalability, and SQL for their most important permanent records.<\/p>\n\n\n\n<p><strong>Social Impact and Ethics<\/strong> AI is a tool that exists beyond just robots; it is in our search algorithms, translation tools, and healthcare. However, we must remember:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI lacks human content:<\/strong> It can't feel emotions or give a \"second chance\" like a human teacher or boss might.<\/li>\n\n\n\n<li><strong>Job Displacement:<\/strong> While AI will replace many tasks, it also opens new \"windows\" of opportunity. You must learn to maneuver and adapt.<\/li>\n\n\n\n<li><strong>Privacy and Trust:<\/strong> We are connected 24\/7. As developers, you have the power to protect or expose people's privacy.<\/li>\n<\/ul>\n\n\n\n<p><strong>Final Conclusion: Your Role as a Developer<\/strong> Technology is not an invention that happened once; it is an evolution driven by people who were never satisfied. You are the next generation of this evolution.<\/p>\n\n\n\n<p>The professor\u2019s final advice:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Be a better user:<\/strong> Understand the tools you use.<\/li>\n\n\n\n<li><strong>Be a responsible developer:<\/strong> Know that your algorithms can harm or help.<\/li>\n\n\n\n<li><strong>Stay Critical:<\/strong> AI is a tool, not a replacement for your judgment. Don't lose your ability to criticize and verify the results the machine gives you.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>This concludes the text of the first lesson.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u8be6\u89e3\uff08\u4e2d\u6587\uff09\uff1a<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u7b2c\u4e00\u90e8\u5206\uff1a\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u7b97\u6cd5\u4e0e\u5386\u53f2\u6f14\u8fdb<\/strong><\/h3>\n\n\n\n<p><strong>\u8bfe\u7a0b\u7b80\u4ecb<\/strong> \u6b22\u8fce\u6765\u5230\u672c\u8bfe\u7a0b\u3002\u6211\u4eec\u5c06\u8ba8\u8bba\u5185\u5bb9\u5206\u4e3a\u56db\u4e2a\u4e3b\u8981\u90e8\u5206\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u673a\u79d1\u5b66<\/strong>\uff1a\u4ec0\u4e48\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\uff0c\u4ee5\u53ca\u4f5c\u4e3a\u79d1\u5b66\u5bb6\u6211\u4eec\u505a\u4e9b\u4ec0\u4e48\u3002<\/li>\n\n\n\n<li><strong>\u4eba\u5de5\u667a\u80fd<\/strong>\uff1a\u5b83\u5e76\u4e0d\u65b0\u9c9c\uff0c\u4f46\u56e0\u673a\u5668\u5b66\u4e60\u800c\u5982\u4eca\u5927\u53d7\u6b22\u8fce\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u4e0e\u5927\u6570\u636e<\/strong>\uff1a\u6211\u4eec\u5982\u4f55\u4ece\u4f20\u7edf\u7684SQL\u6570\u636e\u5e93\u8f6c\u5411\"\u5927\u6570\u636e\"\u7406\u5ff5\u3002<\/li>\n\n\n\n<li><strong>\u793e\u4f1a\u5f71\u54cd<\/strong>\uff1a\u6211\u4eec\u804c\u4e1a\u7684\u4f26\u7406\u95ee\u9898\uff0c\u4ee5\u53ca\u6211\u4eec\u5982\u4f55\u53ef\u80fd\u5e2e\u52a9\u6216\u5371\u5bb3\u793e\u4f1a\u3002<\/li>\n<\/ol>\n\n\n\n<p><strong>\u5b9a\u4e49\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u7b97\u6cd5<\/strong> \u8ba1\u7b97\u673a\u79d1\u5b66\u662f\u4e00\u95e8\u8fdc\u4e0d\u6b62\u641c\u7d22\u6216\u7f16\u7a0b\u7684\u5b66\u79d1\u3002\u5b83\u5305\u62ec\u8ba1\u7b97\u673a\u8bbe\u8ba1\u3001\u4fe1\u606f\u5904\u7406\u4ee5\u53ca\u4fe1\u606f\u7cfb\u7edf\u7684\u521b\u5efa\u3002\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u6838\u5fc3\u662f<strong>\u7b97\u6cd5<\/strong>\u3002<\/p>\n\n\n\n<p>\u7b97\u6cd5\u662f\u6267\u884c\u4efb\u52a1\u7684\u4e00\u7cfb\u5217\u6307\u4ee4\u3002\u60f3\u4e00\u60f3\u4e50\u8c31\u3001\u98df\u8c31\u6216\u5730\u56fe\u3002\u5b83\u4eec\u90fd\u5177\u6709\u4e09\u4e2a\u5177\u4f53\u7279\u5f81\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6709\u5e8f\u6027<\/strong>\uff1a\u6b65\u9aa4\u5fc5\u987b\u6309\u6b63\u786e\u987a\u5e8f\u8fdb\u884c\uff0c\u5426\u5219\u4f60\u4f1a\u8ff7\u5931\u65b9\u5411\u3002<\/li>\n\n\n\n<li><strong>\u53ef\u6267\u884c\u6027<\/strong>\uff1a\u6b65\u9aa4\u5fc5\u987b\u662f\u53ef\u5b8c\u6210\u7684\uff08\u4f8b\u5982\uff0c\u4e0d\u80fd\u9664\u4ee5\u96f6\uff09\u3002<\/li>\n\n\n\n<li><strong>\u65e0\u9700\u521b\u9020\u6027<\/strong>\uff1a\u4f60\u4e0d\u9700\u8981\u77e5\u9053\u70d8\u5e72\u673a<em>\u5982\u4f55<\/em>\u5de5\u4f5c\u6216\u94a2\u7434<em>\u5982\u4f55<\/em>\u53d1\u58f0\u6765\u9075\u5faa\u6307\u4ee4\u3002\u4f60\u53ea\u9700\u6309\u6b65\u9aa4\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u8d77\u521d\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u662f\u6570\u5b66\u7684\u4e00\u90e8\u5206\u3002\u540e\u6765\u6211\u4eec\u72ec\u7acb\u51fa\u6765\uff0c\u56e0\u4e3a\u6211\u4eec\u5f00\u59cb\u89e3\u51b3\u8d85\u51fa\u7eaf\u6570\u5b66\u8303\u7574\u7684\u95ee\u9898\uff0c\u4f46\u90a3\u79cd\u5f3a\u5927\u7684\u903b\u8f91\u652f\u67f1\u4f9d\u7136\u5b58\u5728\u3002<\/p>\n\n\n\n<p><strong>\u786c\u4ef6\u4e0e\u8f6f\u4ef6\u7684\u6f14\u8fdb<\/strong> \u8f6f\u4ef6\u548c\u786c\u4ef6\u6709\u7740\"\u5148\u6709\u9e21\u8fd8\u662f\u5148\u6709\u86cb\"\u7684\u5173\u7cfb\u2014\u2014\u66f4\u597d\u7684\u8f6f\u4ef6\u9700\u8981\u66f4\u597d\u7684\u786c\u4ef6\uff0c\u800c\u5f3a\u5927\u7684\u786c\u4ef6\u5141\u8bb8\u6211\u4eec\u5f00\u53d1\u66f4\u5f3a\u5927\u7684\u8f6f\u4ef6\u3002\u6211\u4eec\u7ecf\u5386\u4e86\u51e0\u4e2a\u9636\u6bb5\u7684\u6f14\u53d8\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u7b97\u76d8<\/strong>\uff1a\u6211\u4eec\u7684\u5927\u8111\u662f\u5904\u7406\u5668\uff1b\u7b97\u76d8\u53ea\u5e2e\u52a9\u6211\u4eec\u5b58\u50a8\u6570\u503c\u3002<\/li>\n\n\n\n<li><strong>\u673a\u68b0\u8ba1\u7b97\u673a<\/strong>\uff1a\u50cf\u5e15\u65af\u5361\u8fd9\u6837\u7684\u4eba\u521b\u9020\u4e86\u5e26\u9f7f\u8f6e\u548c\u4f20\u52a8\u88c5\u7f6e\u7684\u673a\u5668\u3002\u8981\u8fdb\u884c\u66f4\u5927\u7684\u8ba1\u7b97\uff0c\u5c31\u9700\u8981\u66f4\u591a\u9f7f\u8f6e\uff0c\u4f7f\u5f97\u673a\u5668\u53d8\u5f97\u5de8\u5927\u4e14\u6602\u8d35\u3002<\/li>\n\n\n\n<li><strong>\u771f\u7a7a\u7ba1\u4e0e\u4e8c\u8fdb\u5236<\/strong>\uff1a\u6211\u4eec\u8f6c\u5411\u7535\u78c1\u80fd\u548c\u7535\u529b\u3002\u6211\u4eec\u7528\"0\"\uff08\u5173\uff09\u548c\"1\"\uff08\u5f00\uff09\u6765\u8868\u793a\u6bd4\u7279\u3002<\/li>\n\n\n\n<li><strong>\u5b57\u7b26\u8868\u793a<\/strong>\uff1a\u6700\u521d\u6211\u4eec\u4f7f\u7528ASCII\uff081\u5b57\u8282\uff09\uff0c\u5b83\u53ea\u5141\u8bb8256\u4e2a\u7b26\u53f7\u2014\u2014\u4e0d\u8db3\u4ee5\u8868\u793a\u6c49\u5b57\u3002\u5982\u4eca\uff0c\u6211\u4eec\u4f7f\u7528<strong>Unicode\uff08UTF\uff09<\/strong>\uff0c\u5b83\u5141\u8bb8\u6570\u767e\u4e07\u4e2a\u5b57\u7b26\uff0c\u7edf\u4e00\u4e86\u4e16\u754c\u5404\u5730\u7684\u8bed\u8a00\u3002<\/li>\n\n\n\n<li><strong>\u7a7f\u5b54\u5361\u7247<\/strong>\uff1a\u65e9\u671f\u6211\u4eec\u4e0d\u5728\u5c4f\u5e55\u4e0a\u6253\u5b57\u3002\u6211\u4eec\u4f7f\u7528\u5e26\u5b54\u7684\u5361\u7247\u3002\u4e00\u884c\u4ee3\u7801\u7b49\u4e8e\u4e00\u5f20\u5361\u7247\u3002\u5982\u679c\u6709\u9519\u8bef\uff0c\u4f60\u5fc5\u987b\u627e\u5230\u90a3\u5f20\u5b9e\u4f53\u5361\u7247\u5e76\u91cd\u505a\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u4e03\u5927\u8981\u7d20<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u7b97\u6cd5<\/strong>\uff1a\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n\n\n\n<li><strong>\u62bd\u8c61<\/strong>\uff1a\u4f7f\u7528\u4e8b\u7269\u800c\u65e0\u9700\u786e\u5207\u77e5\u9053\u5176\u5185\u90e8\u7684\"\u4e8c\u8fdb\u5236\"\u5982\u4f55\u8fd0\u4f5c\u3002<\/li>\n\n\n\n<li><strong>\u521b\u9020\u529b<\/strong>\uff1a\u5bfb\u627e\u65b0\u65b9\u6cd5\u89e3\u51b3\u8001\u95ee\u9898\u6240\u5fc5\u9700\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e<\/strong>\uff1a\u6211\u4eec\u5982\u4f55\u5b58\u50a8\u548c\u5904\u7406\u5f53\u4eca\u62e5\u6709\u7684\u6d77\u91cf\u4fe1\u606f\u3002<\/li>\n\n\n\n<li><strong>\u7f16\u7a0b<\/strong>\uff1a\u5c06\"\u4eba\u7c7b\u68a6\u60f3\"\u8f6c\u5316\u4e3a\u53ef\u6267\u884c\u7684\u4ee3\u7801\u884c\u3002<\/li>\n\n\n\n<li><strong>\u4e92\u8054\u7f51<\/strong>\uff1a\u8fde\u63a5\u6570\u636e\u7684\"\u5b64\u5c9b\"\u3002<\/li>\n\n\n\n<li><strong>\u5f71\u54cd<\/strong>\uff1a\u6280\u672f\u5982\u4f55\u5f71\u54cd\u4eba\u4eec\uff0c\u7279\u522b\u662f\u90a3\u4e9b\u65e0\u6cd5\u63a5\u89e6\u6280\u672f\u6216\u4e0d\u77e5\u9053\u5982\u4f55\u4f7f\u7528\u6280\u672f\u7684\u4eba\uff08\"\u6570\u5b57\u9e3f\u6c9f\"\uff09\u3002<\/li>\n<\/ol>\n\n\n\n<hr 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class=\"wp-block-heading\">\u7b2c\u56db\u90e8\u5206\uff1a\u6570\u636e\u3001\u5927\u6570\u636e\u4e0e\u672a\u6765<\/h3>\n\n\n\n<p><strong>\u6570\u636e\u4e0e\u4fe1\u606f\uff1a\u51b0\u7bb1\u7ec3\u4e60<\/strong> \u6570\u636e\u662f\u539f\u59cb\u4e8b\u5b9e\u7684\u96c6\u5408\uff0c\u4f46\u53ea\u6709\u5728\u88ab\u7ec4\u7ec7\u5e76\u8d4b\u4e88\u610f\u4e49\u540e\uff0c\u5b83\u624d\u6210\u4e3a<strong>\u4fe1\u606f<\/strong>\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>\u7ec3\u4e60<\/em>\uff1a\u5982\u679c\u6211\u544a\u8bc9\u4f60\u6211\u6709\u4e00\u4e2a\u9ad8170\u5398\u7c73\u3001\u5f88\u91cd\u3001\u6709\u95e8\u3001\u5185\u90e8\u5f88\u51b7\u7684\u76d2\u5b50\uff0c\u6bcf\u4e2a\u9648\u8ff0\u90fd\u662f\u4e00\u6761<strong>\u6570\u636e<\/strong>\u3002\u5f53\u4f60\u628a\u5b83\u4eec\u7ed3\u5408\u8d77\u6765\u65f6\uff0c\u4f60\u8bc6\u522b\u51fa\u4e86<strong>\u51b0\u7bb1<\/strong>\u7684\u6a21\u5f0f\u3002<\/li>\n\n\n\n<li><em>\u542f\u793a<\/em>\uff1a\u5bf9\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u6765\u8bf4\uff0c\u6211\u4eec\u7684\u5de5\u4f5c\u662f\u5c06\u6570\u636e\u5757\u7ec4\u7ec7\u6210\u80fd\u63d0\u4f9b\u77e5\u8bc6\u7684\u5e8f\u5217\u3002\u5982\u679c\u6570\u636e\u6709\u504f\u89c1\uff08\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u53ea\u89c1\u8fc7\u767d\u8272\u7684\u51b0\u7bb1\uff09\uff0c\u4f60\u7684\u4fe1\u606f\u5c06\u662f\u4e0d\u5b8c\u6574\u7684\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u6570\u636e\u5b58\u50a8\u7684\u6f14\u8fdb<\/strong> \u6570\u636e\u6309\u5c42\u7ea7\u7ec4\u7ec7\uff1a<strong>\u5b57\u7b26 \u2192 \u5b57\u6bb5 \u2192 \u8bb0\u5f55 \u2192 \u8868 \u2192 \u6570\u636e\u5e93<\/strong>\u3002\u4e3a\u4e86\u8fde\u63a5\u8fd9\u4e9b\u8868\uff0c\u6211\u4eec\u4f7f\u7528<strong>\u5173\u952e\u5b57\u6bb5<\/strong>\uff08\u5982\u5b66\u53f7\uff09\uff0c\u5b83\u662f\u4e00\u4e2a\u552f\u4e00\u6807\u8bc6\u7b26\u3002<\/p>\n\n\n\n<p>\u7ba1\u7406\u8fd9\u4e9b\u6570\u636e\u4e3b\u8981\u6709\u4e24\u79cd\u65b9\u5f0f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u9762\u5411\u6587\u4ef6\u7684\u7cfb\u7edf\uff08\u65e7\u5f0f\uff09<\/strong>\uff1a\u6bcf\u4e2a\u90e8\u95e8\u90fd\u6709\u81ea\u5df1\u7684\u6587\u4ef6\u3002\u8fd9\u5bfc\u81f4<strong>\u5197\u4f59<\/strong>\uff08\u6570\u636e\u91cd\u590d\uff09\u548c<strong>\u4e0d\u4e00\u81f4\u6027<\/strong>\uff08\u5728\u56fe\u4e66\u9986\u66f4\u65b0\u4e86\u5730\u5740\uff0c\u5374\u5fd8\u4e86\u5728\u8d22\u52a1\u5904\u66f4\u65b0\uff09\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf<\/strong>\uff1a\u4e00\u4e2a\u96c6\u4e2d\u7684\u7cfb\u7edf\uff0c\u6bcf\u4e2a\u90e8\u95e8\u90fd\u8bbf\u95ee\u540c\u4e00\u6570\u636e\u6e90\u3002\u5b83\u662f\u5b89\u5168\u3001\u7ed3\u6784\u5316\u7684\uff0c\u5e76\u907f\u514d\u4e0d\u4e00\u81f4\u6027\u3002<\/li>\n<\/ol>\n\n\n\n<p><strong>\u5927\u6570\u636e\u9769\u547d<\/strong> \"\u5927\u6570\u636e\"\u4e0d\u4ec5\u4ec5\u662f\u62e5\u6709\u5927\u91cf\u6570\u636e\uff1b\u5b83\u662f\u4e00\u79cd\u7406\u5ff5\u7684\u8f6c\u53d8\u3002\u4f20\u7edf\u7684<strong>SQL\uff08\u5173\u7cfb\u578b\uff09<\/strong> \u6570\u636e\u5e93\u662f\u521a\u6027\u548c\u96c6\u4e2d\u7684\u3002\u5b83\u4eec\u5bf9\u94f6\u884c\u548c\u5b66\u6821\u6765\u8bf4\u975e\u5e38\u51fa\u8272\uff0c\u56e0\u4e3a\u5b83\u4eec\u5b89\u5168\uff0c\u4f46\u5b83\u4eec\u4e0d\u6613\"\u6269\u5c55\"\uff08\u96be\u4ee5\u5feb\u901f\u589e\u957f\uff09\u3002<\/p>\n\n\n\n<p><strong>\u5927\u6570\u636e\u7684\u4e09\u4e2aV\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4f53\u91cf<\/strong>\uff1a\u6765\u81ea\u6bcf\u7b14\u4ea4\u6613\u548c\u767b\u5f55\u7684\u6d77\u91cf\u6570\u636e\u3002<\/li>\n\n\n\n<li><strong>\u901f\u5ea6<\/strong>\uff1a\u6570\u636e\u751f\u6210\u548c\u5904\u7406\u5fc5\u987b\u8fbe\u5230\u7684\u60ca\u4eba\u901f\u5ea6\u3002<\/li>\n\n\n\n<li><strong>\u591a\u6837\u6027<\/strong>\uff1a\u6570\u636e\u4e0d\u518d\u53ea\u662f\u6570\u5b57\uff1b\u8fd8\u5305\u62ec\u56fe\u50cf\u3001\u97f3\u4e50\u548c\u793e\u4ea4\u5a92\u4f53\u5e16\u5b50\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u56e0\u6b64\uff0c\u6211\u4eec\u73b0\u5728\u4f7f\u7528<strong>NoSQL\uff08\u975e\u5173\u7cfb\u578b\uff09<\/strong> \u6570\u636e\u5e93\uff0c\u5982<strong>MongoDB<\/strong>\u6216<strong>Cassandra<\/strong>\u3002\u5b83\u4eec\u7075\u6d3b\u4e14\u53ef\u4ee5\u6c34\u5e73\u6269\u5c55\u3002\u73b0\u4ee3\u516c\u53f8\u5982\u4e9a\u9a6c\u900a\u6216TikTok\u4f7f\u7528\u6df7\u5408\u65b9\u6cd5\uff1a\u4e3a\u4e86\u901f\u5ea6\u548c\u53ef\u6269\u5c55\u6027\u4f7f\u7528NoSQL\uff0c\u4e3a\u5176\u6700\u91cd\u8981\u7684\u6c38\u4e45\u8bb0\u5f55\u4f7f\u7528SQL\u3002<\/p>\n\n\n\n<p><strong>\u793e\u4f1a\u5f71\u54cd\u4e0e\u4f26\u7406<\/strong> \u4eba\u5de5\u667a\u80fd\u662f\u4e00\u79cd\u8d85\u8d8a\u673a\u5668\u4eba\u7684\u5de5\u5177\uff1b\u5b83\u5b58\u5728\u4e8e\u6211\u4eec\u7684\u641c\u7d22\u7b97\u6cd5\u3001\u7ffb\u8bd1\u5de5\u5177\u548c\u533b\u7597\u4fdd\u5065\u4e2d\u3002\u7136\u800c\uff0c\u6211\u4eec\u5fc5\u987b\u8bb0\u4f4f\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4eba\u5de5\u667a\u80fd\u7f3a\u4e4f\u4eba\u7c7b\u5185\u5bb9<\/strong>\uff1a\u5b83\u65e0\u6cd5\u611f\u53d7\u60c5\u611f\u6216\u50cf\u4eba\u7c7b\u8001\u5e08\u6216\u8001\u677f\u90a3\u6837\u7ed9\u4e88\"\u7b2c\u4e8c\u6b21\u673a\u4f1a\"\u3002<\/li>\n\n\n\n<li><strong>\u5c31\u4e1a\u5c97\u4f4d\u66ff\u4ee3<\/strong>\uff1a\u867d\u7136\u4eba\u5de5\u667a\u80fd\u5c06\u53d6\u4ee3\u8bb8\u591a\u4efb\u52a1\uff0c\u4f46\u5b83\u4e5f\u6253\u5f00\u4e86\u65b0\u7684\u673a\u4f1a\"\u7a97\u53e3\"\u3002\u4f60\u5fc5\u987b\u5b66\u4f1a\u9a7e\u9a6d\u548c\u9002\u5e94\u3002<\/li>\n\n\n\n<li><strong>\u9690\u79c1\u4e0e\u4fe1\u4efb<\/strong>\uff1a\u6211\u4eec24\u5c0f\u65f6\u5728\u7ebf\u3002\u4f5c\u4e3a\u5f00\u53d1\u8005\uff0c\u4f60\u6709\u80fd\u529b\u4fdd\u62a4\u6216\u66b4\u9732\u4eba\u4eec\u7684\u9690\u79c1\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u6700\u7ec8\u7ed3\u8bba\uff1a\u4f60\u4f5c\u4e3a\u5f00\u53d1\u8005\u7684\u89d2\u8272<\/strong> \u6280\u672f\u4e0d\u662f\u4e00\u6b21\u6027\u53d1\u660e\uff1b\u5b83\u662f\u6c38\u4e0d\u6ee1\u8db3\u7684\u4eba\u4eec\u9a71\u52a8\u7684\u6f14\u8fdb\u3002\u4f60\u4eec\u662f\u8fd9\u4e00\u6f14\u8fdb\u7684\u4e0b\u4e00\u4e2a\u4e16\u4ee3\u3002<\/p>\n\n\n\n<p>\u6559\u6388\u7684\u6700\u540e\u5efa\u8bae\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6210\u4e3a\u66f4\u597d\u7684\u4f7f\u7528\u8005<\/strong>\uff1a\u7406\u89e3\u4f60\u4f7f\u7528\u7684\u5de5\u5177\u3002<\/li>\n\n\n\n<li><strong>\u6210\u4e3a\u8d1f\u8d23\u4efb\u7684\u5f00\u53d1\u8005<\/strong>\uff1a\u77e5\u9053\u4f60\u7684\u7b97\u6cd5\u53ef\u80fd\u4f24\u5bb3\u6216\u5e2e\u52a9\u4ed6\u4eba\u3002<\/li>\n\n\n\n<li><strong>\u4fdd\u6301\u6279\u5224\u6027<\/strong>\uff1a\u4eba\u5de5\u667a\u80fd\u662f\u4e00\u79cd\u5de5\u5177\uff0c\u4e0d\u80fd\u66ff\u4ee3\u4f60\u7684\u5224\u65ad\u3002\u4e0d\u8981\u4e27\u5931\u6279\u5224\u548c\u9a8c\u8bc1\u673a\u5668\u7ed9\u51fa\u7ed3\u679c\u7684\u80fd\u529b\u3002<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>\u7b2c\u4e00\u8bfe\u7684\u6587\u5b57\u5185\u5bb9\u81f3\u6b64\u7ed3\u675f\u3002<\/strong><\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Insights on AI in Information Security \/ AI \u5728\u4fe1\u606f\u5b89\u5168\u9886\u57df\u7684\u542f\u53d1<\/h1>\n\n\n\n<p>Based on the lecture \"Big Data and AI: Revolutionary Developments,\" here are three critical insights into how these concepts transform Information Security.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. The Paradigm Shift: From \"Signature-Based\" to \"Anomaly Detection\"<\/h3>\n\n\n\n<p><strong>Source Concept:<\/strong> <em>Deductive Reasoning (Rules) vs. Inductive Learning (Patterns) &amp; Unsupervised Learning.<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>English Reflection:Traditionally, antivirus software worked like the \"Deductive Reasoning\" mentioned in the lecture: it relied on specific, human-written rules (signatures) to identify known malware. If the code matched the rule, it was blocked.However, AI introduces Unsupervised Learning. Just as the lecture explained finding patterns in unlabeled data, AI in security can analyze network traffic to establish a \"baseline of normality.\" It doesn't look for a known virus; it looks for behavior that deviates from the pattern (anomalies). This allows us to detect \"Zero-Day Attacks\" (unknown threats) that no human has written a rule for yet.<\/li>\n\n\n\n<li>\u4e2d\u6587\u542f\u53d1\uff1a\u4ece\u201c\u7279\u5f81\u5339\u914d\u201d\u5230\u201c\u5f02\u5e38\u68c0\u6d4b\u201d\u6e90\u6982\u5ff5\uff1a\u6f14\u7ece\u63a8\u7406\uff08\u89c4\u5219\uff09\u4e0e\u5f52\u7eb3\u5b66\u4e60\uff08\u6a21\u5f0f\uff09\u4ee5\u53ca\u65e0\u76d1\u7763\u5b66\u4e60\u3002\u4f20\u7edf\u7684\u6740\u6bd2\u8f6f\u4ef6\u5de5\u4f5c\u65b9\u5f0f\u7c7b\u4f3c\u4e8e\u8bfe\u7a0b\u4e2d\u63d0\u5230\u7684\u201c\u6f14\u7ece\u63a8\u7406\u201d\uff1a\u5b83\u4f9d\u8d56\u4e8e\u4eba\u7c7b\u7f16\u5199\u7684\u5177\u4f53\u89c4\u5219\uff08\u75c5\u6bd2\u7279\u5f81\u5e93\uff09\u6765\u8bc6\u522b\u5df2\u77e5\u7684\u6076\u610f\u8f6f\u4ef6\u3002\u5982\u679c\u4ee3\u7801\u7b26\u5408\u89c4\u5219\uff0c\u5c31\u4f1a\u88ab\u62e6\u622a\u3002\u7136\u800c\uff0cAI \u5f15\u5165\u4e86<strong>\u65e0\u76d1\u7763\u5b66\u4e60<\/strong>\u3002\u6b63\u5982\u8bfe\u7a0b\u4e2d\u89e3\u91ca\u7684\u201c\u5728\u65e0\u6807\u7b7e\u6570\u636e\u4e2d\u53d1\u73b0\u6a21\u5f0f\u201d\uff0c\u5b89\u5168\u9886\u57df\u7684 AI \u53ef\u4ee5\u5206\u6790\u7f51\u7edc\u6d41\u91cf\u4ee5\u5efa\u7acb\u201c\u6b63\u5e38\u884c\u4e3a\u57fa\u51c6\u201d\u3002\u5b83\u4e0d\u518d\u662f\u5bfb\u627e\u5df2\u77e5\u7684\u75c5\u6bd2\uff0c\u800c\u662f\u5bfb\u627e\u504f\u79bb\u5e38\u89c4\u6a21\u5f0f\u7684\u884c\u4e3a\uff08\u5f02\u5e38\uff09\u3002\u8fd9\u4f7f\u6211\u4eec\u80fd\u591f\u68c0\u6d4b\u5230\u6ca1\u6709\u4efb\u4f55\u4eba\u7c7b\u4e3a\u5176\u7f16\u5199\u8fc7\u89c4\u5219\u7684\u201c\u96f6\u65e5\u653b\u51fb\u201d\uff08\u672a\u77e5\u5a01\u80c1\uff09\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. The \"Autonomous Security Agent\": Speed and Scale<\/h3>\n\n\n\n<p><strong>Source Concept:<\/strong> <em>The AI Agent Cycle (Perception \u2192 Reasoning \u2192 Action) &amp; The 3Vs of Big Data (Velocity).<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>English Reflection:The lecture defined an AI Agent as a system that perceives, reasons, and acts. In Information Security, the \"Velocity\" (speed) of attacks is now too fast for humans. A hacker can automate an attack to hit thousands of ports in seconds.Applying the Agent Cycle to security creates \"Security Orchestration, Automation, and Response\" (SOAR).\n<ol class=\"wp-block-list\">\n<li><strong>Perception:<\/strong> Sensors ingest massive logs (Volume).<\/li>\n\n\n\n<li><strong>Reasoning:<\/strong> The model decides if an activity is malicious based on weights and thresholds (Neural Networks).<\/li>\n\n\n\n<li><strong>Action:<\/strong> The system automatically isolates the infected device or blocks the IP <em>without<\/em> waiting for a human admin. This matches the lecture's definition of efficiency: responding instantly to save resources.<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li>\u4e2d\u6587\u542f\u53d1\uff1a\u201c\u81ea\u4e3b\u5b89\u5168\u667a\u80fd\u4f53\u201d\uff1a\u901f\u5ea6\u4e0e\u89c4\u6a21\u6e90\u6982\u5ff5\uff1aAI \u667a\u80fd\u4f53\u5faa\u73af\uff08\u611f\u77e5 \u2192 \u63a8\u7406 \u2192 \u884c\u52a8\uff09\u4ee5\u53ca\u5927\u6570\u636e\u7684 3V \u7279\u6027\uff08\u9ad8\u901f Velocity\uff09\u3002\u8bfe\u7a0b\u5c06 AI \u667a\u80fd\u4f53\u5b9a\u4e49\u4e3a\u4e00\u4e2a\u80fd\u591f\u611f\u77e5\u3001\u63a8\u7406\u548c\u884c\u52a8\u7684\u7cfb\u7edf\u3002\u5728\u4fe1\u606f\u5b89\u5168\u4e2d\uff0c\u653b\u51fb\u7684\u201c\u901f\u5ea6\uff08Velocity\uff09\u201d\u73b0\u5728\u592a\u5feb\u4e86\uff0c\u4eba\u7c7b\u65e0\u6cd5\u8ddf\u4e0a\u3002\u9ed1\u5ba2\u53ef\u4ee5\u81ea\u52a8\u5316\u653b\u51fb\uff0c\u5728\u51e0\u79d2\u949f\u5185\u653b\u51fb\u6570\u5343\u4e2a\u7aef\u53e3\u3002\u5c06\u667a\u80fd\u4f53\u5faa\u73af\u5e94\u7528\u4e8e\u5b89\u5168\u9886\u57df\uff0c\u5c31\u6784\u6210\u4e86\u201c\u5b89\u5168\u7f16\u6392\u3001\u81ea\u52a8\u5316\u4e0e\u54cd\u5e94\u201d\uff08SOAR\uff09\uff1a\n<ol class=\"wp-block-list\">\n<li><strong>\u611f\u77e5<\/strong>\uff1a\u4f20\u611f\u5668\u6444\u5165\u6d77\u91cf\u65e5\u5fd7\uff08\u4f53\u91cf\uff09\u3002<\/li>\n\n\n\n<li><strong>\u63a8\u7406<\/strong>\uff1a\u6a21\u578b\u6839\u636e\u6743\u91cd\u548c\u9608\u503c\uff08\u795e\u7ecf\u7f51\u7edc\uff09\u5224\u65ad\u6d3b\u52a8\u662f\u5426\u6076\u610f\u3002<\/li>\n\n\n\n<li><strong>\u884c\u52a8<\/strong>\uff1a\u7cfb\u7edf\u81ea\u52a8\u9694\u79bb\u53d7\u611f\u67d3\u8bbe\u5907\u6216\u5c01\u9501 IP\uff0c\u800c<em>\u65e0\u9700<\/em>\u7b49\u5f85\u4eba\u7c7b\u7ba1\u7406\u5458\u3002\u8fd9\u7b26\u5408\u8bfe\u7a0b\u4e2d\u5bf9\u201c\u6548\u7387\u201d\u7684\u5b9a\u4e49\uff1a\u5373\u65f6\u54cd\u5e94\u4ee5\u8282\u7701\u8d44\u6e90\u3002<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. The \"Adversarial AI\": Ethics and The Double-Edged Sword<\/h3>\n\n\n\n<p><strong>Source Concept:<\/strong> <em>The Tool Metaphor (AI can help or harm) &amp; Generative AI Bias.<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>English Reflection:The lecture emphasized that AI is a tool that reflects the intent of its user. In security, this is the most dangerous insight. Just as we use LLMs to generate \"effective\" code or CVs, attackers are using Generative AI to write polymorphic malware (code that changes itself to hide) or to craft perfect phishing emails that lack the grammar mistakes of the past.Furthermore, the \"Bias\" mentioned in the lecture applies to security profiling. If an AI security model is trained on biased data, it might flag legitimate traffic from certain regions or user groups as \"malicious\" (False Positives), causing denial of service. Developing ethical, unbiased security AI is just as important as building powerful algorithms.<\/li>\n\n\n\n<li>\u4e2d\u6587\u542f\u53d1\uff1a\u201c\u5bf9\u6297\u6027 AI\u201d\uff1a\u4f26\u7406\u4e0e\u53cc\u5203\u5251\u6e90\u6982\u5ff5\uff1a\u5de5\u5177\u9690\u55bb\uff08AI \u53ef\u5584\u53ef\u6076\uff09\u4ee5\u53ca\u751f\u6210\u5f0f AI \u7684\u504f\u89c1\u3002\u8bfe\u7a0b\u5f3a\u8c03 AI \u662f\u4e00\u4e2a\u53cd\u6620\u4f7f\u7528\u8005\u610f\u56fe\u7684\u5de5\u5177\u3002\u5728\u5b89\u5168\u9886\u57df\uff0c\u8fd9\u662f\u6700\u5371\u9669\u7684\u542f\u793a\u3002\u6b63\u5982\u6211\u4eec\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6765\u751f\u6210\u201c\u9ad8\u6548\u201d\u7684\u4ee3\u7801\u6216\u7b80\u5386\uff0c\u653b\u51fb\u8005\u4e5f\u5728\u4f7f\u7528\u751f\u6210\u5f0f AI \u7f16\u5199\u591a\u6001\u6076\u610f\u8f6f\u4ef6\uff08\u4f1a\u81ea\u52a8\u53d8\u5316\u4ee5\u9690\u85cf\u81ea\u5df1\u7684\u4ee3\u7801\uff09\uff0c\u6216\u5236\u4f5c\u5b8c\u7f8e\u7684\u7f51\u7edc\u9493\u9c7c\u90ae\u4ef6\uff08\u4e0d\u518d\u6709\u8fc7\u53bb\u7684\u8bed\u6cd5\u9519\u8bef\uff09\u3002\u6b64\u5916\uff0c\u8bfe\u7a0b\u4e2d\u63d0\u5230\u7684<strong>\u201c\u504f\u89c1\u201d<\/strong>\u4e5f\u9002\u7528\u4e8e\u5b89\u5168\u753b\u50cf\u3002\u5982\u679c\u4e00\u4e2a AI \u5b89\u5168\u6a21\u578b\u662f\u5728\u6709\u504f\u89c1\u7684\u6570\u636e\u4e0a\u8bad\u7ec3\u7684\uff0c\u5b83\u53ef\u80fd\u4f1a\u5c06\u6765\u81ea\u7279\u5b9a\u5730\u533a\u6216\u7528\u6237\u7fa4\u4f53\u7684\u5408\u6cd5\u6d41\u91cf\u9519\u8bef\u5730\u6807\u8bb0\u4e3a\u201c\u6076\u610f\u201d\uff08\u8bef\u62a5\uff09\uff0c\u4ece\u800c\u5bfc\u81f4\u670d\u52a1\u62d2\u7edd\u3002\u5f00\u53d1\u7b26\u5408\u4f26\u7406\u3001\u65e0\u504f\u89c1\u7684\u5b89\u5168 AI\uff0c\u4e0e\u6784\u5efa\u5f3a\u5927\u7684\u7b97\u6cd5\u540c\u6837\u91cd\u8981\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>1. The Foundation: Computer Science and Algorithms 2. Artificial  ...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":""},"categories":[33,25],"tags":[34,35,36],"class_list":["post-358","post","type-post","status-publish","format-standard","hentry","category-33","category-technics","tag-ai","tag-35","tag-36"],"_links":{"self":[{"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/posts\/358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/comments?post=358"}],"version-history":[{"count":0,"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/posts\/358\/revisions"}],"wp:attachment":[{"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/media?parent=358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/categories?post=358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/index.cmiteam.cn\/index.php\/wp-json\/wp\/v2\/tags?post=358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}