别再用“思维链”了，图推理(SGR)才是未来 скачать в хорошем качестве

别再用“思维链”了，图推理(SGR)才是未来

AI 还在像小学生写日记一样“线性思考”？这可能是它经常一本正经胡说八道的原因！本期视频，我将带你解读一篇颠覆性的论文《从锁链到图谱》(From Chains to Graphs)，揭秘东京大学等机构提出的“自我图推理”(SGR) 技术。看看如何打破传统“思维链”(CoT) 的枷锁，给 AI 的大脑装上“思维导图”导航仪，让开源模型也能在逻辑推理上碾压 GPT-4o！ AI still thinking linearly like a student writing a diary? That might be why it often hallucinates confidently! In this video, I break down the groundbreaking paper "From Chains to Graphs" and the "Self-Graph Reasoning" (SGR) technique developed by the University of Tokyo. We'll see how breaking the "Chain of Thought" (CoT) shackles and equipping AI with a "Mind Map" allows open-source models to outperform GPT-4o in logical reasoning. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 📄 核心内容 & 关键词 | Key Content & Keywords: 自我图推理 (Self-Graph Reasoning, SGR): 我们深入解析了这一核心技术，它让 AI 不再依赖外部知识库，而是自主构建包含“节点” (Nodes) 和“边” (Edges) 的思维导图，实现非线性的分叉与汇合思考。 We explain the core concept of SGR, enabling AI to autonomously build internal mind maps with nodes and edges, allowing for non-linear branching and merging of thoughts without external knowledge bases. 逻辑漂移 (Logical Drift): 揭示了传统思维链 (CoT) 的致命弱点。就像“传声筒”游戏，线性步骤中的一个微小错误如何导致最终结论的雪崩式坍塌。 Unveiling the fatal flaw of traditional Chain-of-Thought (CoT). Like a game of telephone, we explore how a single error in linear steps causes a cascading failure in the final conclusion. 爱丽丝谜题 (The Alice Puzzle): 通过一个经典的逻辑陷阱，直观展示 SGR 如何通过“视角转换”和“并行分支”解决线性 AI 无法处理的复杂伦理和数学问题。 Using a classic logic trap to demonstrate how SGR solves complex problems through "perspective shifting" and "parallel branching" that linear AI fails at. 系统2思维 (System 2 Thinking): 探讨 SGR 如何推动 AI 从直觉式的“快思考”迈向深思熟虑的“慢思考”，将 AI 的决策过程从不可知的“黑盒”变成透明的“玻璃盒”。 Discussing how SGR moves AI from intuitive "fast thinking" to deliberate "slow thinking," transforming AI decision-making from an opaque "black box" into a transparent "glass box." ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🔔 订阅并加入我的会员 | Subscribe & Join my membership! 你觉得 AI 拥有了“慢思考”和“可解释性”后，最先被颠覆的行业会是哪一个？医疗、法律还是科研？在评论区分享你的看法！ With the rise of "slow thinking" and explainability in AI, which industry do you think will be disrupted first? Healthcare, Law, or Research? Share your thoughts in the comments below! 如果你喜欢本期内容，请不要忘记点赞、分享，并【订阅】我的频道，开启小铃铛，第一时间获取关于前沿科技的深度解析。 If you enjoyed this video, please like, share, and SUBSCRIBE for more deep dives into our technological future. 👉 支持我持续创作 | Support My Work: 加入我的会员频道，提前观看视频并获得专属福利！ Join my channel membership to get early access to videos and exclusive perks!    / @wow.insight   ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 相关论文，请点击会员贴：    • Запись   ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #AIAgent #Reasoning #SGR #ChainOfThought #GPT4 #LLaMA #AIResearch #MachineLearning #DeepLearning #Logic #System2 #人工智能 #思维链 #图推理 #大模型 #逻辑推理 #深度学习 #科技解析 #可解释AI