{"schema_version":"1.0","language":"zh-CN","generated_from":"NEWVAR 从零开始学AI structured Markdown","write_access":false,"full_text_access":false,"content_boundary":"This endpoint exposes metadata, objectives, prerequisites, labs and source summaries. It does not expose chapter body text or answer text.","chapter":{"slug":"history-and-paradigms","title":"从符号主义到基础模型：范式如何更替","english_title":"History and paradigms","chapter_number":2,"volume":1,"volume_title":"第一卷：计算与数学地基","month":1,"unit_title":"AI全景、证据与伦理","review_status":"draft","updated_at":"2026-08-06","estimated_hours":8,"focus":"用问题、表示、搜索、学习和规模化五条线理解AI史，而不是背年份。","objectives":["用问题、表示、搜索、学习和规模化五条线理解AI史，而不是背年份。","解释核心数学关系并完成最小实现","运行单变量实验并记录失败样例","完成工程线或研究线至少一项迁移任务"],"prerequisites":["ai-is-a-system"],"exercise_count":3,"tracks":["engineering","research"],"human_url":"/learn/history-and-paradigms"},"labs":[{"id":"lab-history-and-paradigms","chapter_slug":"history-and-paradigms","title":"从符号主义到基础模型：范式如何更替：单变量实验","kind":"tradeoff_curve","data_status":"教学模拟","variable":{"label":"资源投入","unit":"%","min":0,"max":100,"step":5,"default":50},"objective":"只改变“资源投入”，观察结果、代价和风险如何一起变化，理解用问题、表示、搜索、学习和规模化五条线理解AI史，而不是背年份。","static_fallback":"静态替代：把资源投入分别设为0%、50%和100%，手工比较三组教学模拟输出。","keyboard":"聚焦滑块后使用方向键微调，Page Up/Page Down大步调整，Home/End到达边界。","measurement_note":"页面数值由公开公式生成，只用于教学，不代表真实模型性能或现实世界因果效果。","source_ids":["S001","S002","S003","S004","S005","S086"]}],"project":{"id":"project-01","month":1,"title":"给校园社团做一份AI机会与风险地图","brief":"选择一个真实但不含个人信息的校园任务，画出数据、模型、界面、人工判断和风险边界。","deliverables":["问题与边界说明","可运行最小实现","实验记录与失败分析","来源与许可清单","风险、隐私与人工闸门","复现README"]},"sources":[{"id":"S001","author":"UNESCO","title":"AI competency framework for students","source_level":"国际组织一手框架","published_at":"2024","accessed_at":"2026-08-06","doi_or_url":"https://www.unesco.org/en/articles/ai-competency-framework-students"},{"id":"S002","author":"AI4K12 Initiative","title":"Five Big Ideas in AI","source_level":"教育框架一手资料","published_at":"2020","accessed_at":"2026-08-06","doi_or_url":"https://ai4k12.org/wp-content/uploads/AI4K12_Five_Big_Ideas_Poster_v2.pdf"},{"id":"S003","author":"ACM, IEEE-CS, AAAI","title":"Computer Science Curricula 2023","source_level":"专业学会课程框架","published_at":"2024","accessed_at":"2026-08-06","doi_or_url":"https://csed.acm.org/final-report/"},{"id":"S004","author":"NIST","title":"Artificial Intelligence Risk Management Framework (AI RMF 1.0)","source_level":"标准机构一手资料","published_at":"2023","accessed_at":"2026-08-06","doi_or_url":"https://www.nist.gov/itl/ai-risk-management-framework"},{"id":"S005","author":"Stanford HAI","title":"AI Index Report 2026","source_level":"研究机构年度报告","published_at":"2026","accessed_at":"2026-08-06","doi_or_url":"https://hai.stanford.edu/ai-index/2026-ai-index-report"},{"id":"S086","author":"UNESCO","title":"Recommendation on the Ethics of Artificial Intelligence","source_level":"国际组织规范性文件","published_at":"2021","accessed_at":"2026-08-06","doi_or_url":"https://www.unesco.org/en/artificial-intelligence/recommendation-ethics"}]}