## I. Courses
**Ongoing:**
* [MIT: 2.003SC Engineering Dynamics](https://www.youtube.com/playlist?list=PLUl4u3cNGP62esZEwffjMAsEMW_YArxYC)
**Completed:**
* [MIT: 8.01 Physics I: Classical Mechanics](https://www.youtube.com/playlist?list=PLyQSN7X0ro203puVhQsmCj9qhlFQ-As8e)
* [MIT: 8.02 Physics II: Electricity and Magnetism](https://www.youtube.com/playlist?list=PLyQSN7X0ro2314mKyUiOILaOC2hk6Pc3j)
* [MIT: 5.111 Principles of Chemical Science](https://www.youtube.com/playlist?list=PLUl4u3cNGP63LOmB3_O0xbgZVZibxj4rb)
* [MITx: 6.002 Circuits and Electronics](https://www.edx.org/xseries/mitx-circuits-and-electronics)
* [MIT: RES.6.007 Signals and Systems](https://www.youtube.com/playlist?list=PL41692B571DD0AF9B)
* [MIT: 6.004 Computation Structures](https://www.youtube.com/playlist?list=PLDSlqjcPpoL64CJdF0Qee5oWqGS6we_Yu)
* [MITx 6.431x: Probability - The Science of Uncertainty and Data](https://www.edx.org/learn/probability/massachusetts-institute-of-technology-probability-the-science-of-uncertainty-and-data)
* [MITx 18.6501x: Fundamentals of Statistics](https://www.edx.org/learn/statistics/massachusetts-institute-of-technology-fundamentals-of-statistics)
* [MITx 6.86x: Machine Learning with Python-From Linear Models to Deep Learning](https://www.edx.org/learn/machine-learning/massachusetts-institute-of-technology-machine-learning-with-python-from-linear-models-to-deep-learning)
* [MITx IDS.S24x: Learning Time Series with Intervention](https://www.edx.org/learn/data-analysis-statistics/massachusetts-institute-of-technology-learning-time-series-with-interventions)
* [MITx 10.MBCx: Math Boot Camp for Engineers](https://mitxonline.mit.edu/courses/course-v1:MITxT+10.MBCx/)
* [Stanford: Convex Optimization I](https://www.youtube.com/playlist?list=PL3940DD956CDF0622)
* [ICTP: Differential Geometry](https://www.youtube.com/playlist?list=PLLq_gUfXAnkl5JArcktbOrIUeR5rra-Gz)
* [UW: Control Bootcamp](https://www.youtube.com/playlist?list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085m)
* [UW: Reinforcement Learning](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74)
* [NTU: Machine Learning Foundations - Mathematical Foundations](https://www.coursera.org/learn/ntumlone-mathematicalfoundations)
* [NTU: Machine Learning Foundations - Algorithmic Foundations](https://www.coursera.org/learn/ntumlone-algorithmicfoundations)
* [NTU: Machine Learning Techniques](https://www.coursera.org/learn/machine-learning-techniques)
* [NTU: History of Western Philosophy](https://www.youtube.com/playlist?list=PLfS0WrMWEu_7Tl1dzP6D8m-RujAqLnQ8c)
* [NTU: Philosophy and Life](https://ocw.aca.ntu.edu.tw/courses/104S103)
* [NTU: History of Japanese Culture](http://ocw.aca.ntu.edu.tw/ntu-ocw/ocw/cou/102S105)
* [NTU: The Idea of a University](https://www.coursera.org/learn/idea-of-a-university)
* [NYCU: Numerical Optimization with Applications](https://www.youtube.com/playlist?list=PLbWe7cQA0ts8511K8Ni4y2wy0OhfCtw_C)
* [NYCU: Large Sparse Matrix Computations](https://www.youtube.com/playlist?list=PLbWe7cQA0ts_7qCp_7GlCmQZA5jk27lQ_)
* [NYCU: Computational Conformal Geometry](https://www.youtube.com/playlist?list=PLbWe7cQA0ts-kW5QdPzx0FjMkGx8DZewv)
* [NYCU: Nonlinear Control System](https://www.youtube.com/playlist?list=PLj6E8qlqmkFvvcdMnd3s5IpmipuXtIO_T)
* [Introduction to Digital Design](https://www.youtube.com/playlist?list=PLcMkG40Rhzz7qJ89UXDh4SqFEB6S14Ash)
* [eigenchris: Tensors for Beginners](https://www.youtube.com/playlist?list=PLJHszsWbB6hrkmmq57lX8BV-o-YIOFsiG)
**Planned / Watchlist:**
* [MIT: 6.622 Power Electronics](https://www.youtube.com/playlist?list=PLUl4u3cNGP62UTc77mJoubhDELSC8lfR0)
* [MIT: 6.801 Machine Vision](https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O)
* [MIT: 8.03 Physics III: Vibrations and Waves](https://www.youtube.com/playlist?list=PLyQSN7X0ro22WeXM2QCKJm2NP_xHpGV89)
* [MIT 6.849 Geometric Folding Algorithms](https://www.youtube.com/playlist?list=PLUl4u3cNGP62xuxL4CQpy8uo2MeM4a3YD)
* [MIT: 18.01 Single Variable Calculus](https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1)
* [MIT: 18.02 Multivariable Calculus](https://www.youtube.com/playlist?list=PL4C4C8A7D06566F38)
* [MIT: 18.03 Differential Equations](https://www.youtube.com/playlist?list=PLEC88901EBADDD980)
* [MIT: 18.06SC Linear Algebra](https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.06SC+2T2019/about)
* [MIT: 18.100A Real Analysis](https://www.youtube.com/playlist?list=PLUl4u3cNGP61O7HkcF7UImpM0cR_L2gSw)
* [MIT: 18.102 Introduction to Functional Analysis](https://www.youtube.com/playlist?list=PLUl4u3cNGP63micsJp_--fRAjZXPrQzW_)
* [MIT: 13.002J Introduction to Numerical Analysis for Engineering](https://ocw.mit.edu/courses/2-993j-introduction-to-numerical-analysis-for-engineering-13-002j-spring-2005/pages/syllabus/)
* [MIT: 15.S12 Blockchain and Money](https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)
* [MIT: 16.485 Visual Navigation for Autonomous Vehicles (VNAV)](https://ocw.mit.edu/courses/16-485-visual-navigation-for-autonomous-vehicles-vnav-fall-2020/)
* [MIT: MAS.S62 Cryptocurrency Engineering and Design](https://www.youtube.com/playlist?list=PLUl4u3cNGP61KHzhg3JIJdK08JLSlcLId)
* [MIT: STS.050 The History of MIT](https://www.youtube.com/playlist?list=PL7590BF3B139A354D)
* [Stanford: Linear Dynamical Systems](https://www.youtube.com/playlist?list=PL06960BA52D0DB32B)
* [Standford: Compilers](https://www.google.com/search?q=edx+standford+compiler&oq=edx+standford+compiler&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIICAEQABgWGB4yCAgCEAAYFhgeMg0IAxAAGIYDGIAEGIoFMg0IBBAAGIYDGIAEGIoFMg0IBRAAGIYDGIAEGIoFMg0IBhAAGIYDGIAEGIoFMgcIBxAAGO8FMgoICBAAGIAEGKIE0gEINDAzN2owajSoAgCwAgA&sourceid=chrome&ie=UTF-8)
* [Standford: Game theory](https://www.coursera.org/learn/game-theory-1)
* [Standord: Algorithms](https://www.edx.org/learn/algorithms/stanford-university-algorithms-design-and-analysis-part-1)
* [Stanford: Quantum Mechanics for Scientists and Engineers](https://www.edx.org/learn/quantum-physics-mechanics/stanford-university-quantum-mechanics-for-scientists-and-engineers-1)
* [U of T: Self-Driving Cars Specialization](https://www.coursera.org/specializations/self-driving-cars)
* [GT: Computer Vision](https://omscs.gatech.edu/cs-6476-computer-vision)
* [GT: Statics, Dynamics, and Materials Mechanics](https://www.coursera.org/instructor/whiteman)
* [CU Boulder: Power Electronics](https://www.coursera.org/specializations/power-electronics)
* [CU Boulder: Quantum Mechanics for Engineers](https://www.coursera.org/specializations/quantum-mechanics-for-engineers)
* [DelftX: Introduction to Aeronautical Engineering](https://www.edx.org/learn/aeronautical-engineering/delft-university-of-technology-introduction-to-aeronautical-engineering)
* [Uni Freiburg: Model Predictive Control and Reinforcement Learning](https://www.syscop.de/teaching/ws2023/model-predictive-control-and-reinforcement-learning?fbclid=IwZXh0bgNhZW0CMTAAAR20rIJb3zATdsoUY4_kgk_qbVZUSPwlo9Ux7hX69XmE89vYX1BYhJsEe7c_aem__mWPqZse_ygap73fCT-X0w)
* [UWaterloo: CS885 Reinforcement Learning](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
* [UCSD: Introduction to Discrete Mathematics for Computer Science Specialization](https://www.coursera.org/specializations/discrete-mathematics)
* [IC: Mathematics for Machine Learning Specialization](https://www.coursera.org/specializations/mathematics-machine-learning)
* [HKUST: Differential Equations for Engineers](https://www.coursera.org/learn/differential-equations-engineers)
* [Introduction to Complex Analysis](https://www.coursera.org/learn/complex-analysis)
* [UNSW Sydney: Differential Geometry](https://www.youtube.com/playlist?list=PLIljB45xT85DWUiFYYGqJVtfnkUFWkKtP)
* [NTNU: Differential Geometry](https://www.youtube.com/playlist?list=PL0kyR2Gxfvqiplr038fQZQakEby4OvdN1)
* [eigenchris: Tensor Calculus](https://www.youtube.com/playlist?list=PLJHszsWbB6hpk5h8lSfBkVrpjsqvUGTCx)
* [Y Combinator: How to Start a Startup](https://www.youtube.com/playlist?list=PL5q_lef6zVkaTY_cT1k7qFNF2TidHCe-1)
**Edx:**
* [HKUST: Numerical Methods for Engineers](https://www.coursera.org/learn/numerical-methods-engineers?fbclid=IwAR1pyjsLwwwdRyZgRKSQgo_XI8SPIQPZ2FY_zLYBTwQtKvlM-psIOCcgxPw_aem_ASPj2ng_YgA51Jd-EhGvbsq2NYH7OM3xiLelxnyViKZPxD1c4Zs0i-rXUmpSYq5XeZcxBf9o6s1tx4rrA2kVUdCz)
* [GeorgetownX: Mathematical and Computational Methods](https://www.edx.org/learn/math/georgetown-university-mathematical-and-computational-methods?utm_source=lms_catalog_service_user&utm_medium=affiliate_partner)
* [LinuxFoundationX: Building a RISC-V CPU Core](https://www.edx.org/learn/design/the-linux-foundation-building-a-risc-v-cpu-core?webview=false&campaign=Building+a+RISC-V+CPU+Core&source=edx&product_category=course&placement_url=https%3A%2F%2Fwww.edx.org%2Fschool%2Flinuxfoundationx)
* [ArmEducationX: Computer Architecture Essentials on Arm](https://www.edx.org/learn/computer-architecture/arm-education-computer-architecture-essentials-on-arm?index=product&queryID=5b668432fee584ecc203ae46708708da&position=3&results_level=first-level-results&term=ARM+education&objectID=course-1fbc172c-10b4-4f15-aaa0-63c53fa7e4c2&campaign=Computer+Architecture+Essentials+on+Arm&source=edX&product_category=course&placement_url=https%3A%2F%2Fwww.edx.org%2Fsearch)
---
## II. Useful Videos
**Physics**
* [The Big Misconception About Electricity](https://www.youtube.com/watch?v=bHIhgxav9LY)
**Mathmetics:**
* [Manifolds - Robert Davie](https://www.youtube.com/watch?v=w1FaAu0SL-w)
* [Riemannian manifolds, kernels and learning](https://www.youtube.com/watch?v=MtZV82LCNHc)
* [e to the pi i for dummies](https://www.youtube.com/watch?v=-dhHrg-KbJ0)
* [Introduction to Variational Calculus - Deriving the Euler-Lagrange Equation](https://www.youtube.com/watch?v=VCHFCXgYdvY)
**Numerical Algorithms:**
* [Introduction to Algorithms and Convergence
](https://www.youtube.com/watch?v=ogzYOgEBg2k&list=LL&index=76&t=847s)
* [Interior Point Method for Optimization
](https://www.youtube.com/watch?v=zm4mfr-QT1E)
* [Fixed Point Iteration](https://www.youtube.com/watch?v=OLqdJMjzib8)
* [Least squares approximation (Khan academy)](https://www.khanacademy.org/math/linear-algebra/alternate-bases/orthogonal-projections/v/linear-algebra-least-squares-approximation?fbclid=IwAR1z3DOZbIVbWOEoErQP6T3kvwkeoCPyYwvScudC8IcdbBN4IIyELTEotjg)
* [Least squares line (Youtube)](https://www.youtube.com/watch?v=1pawL_5QYxE)
**Deep learning:**
* [Neural Network Architectures & Deep Learning
](https://www.youtube.com/watch?v=oJNHXPs0XDk)
* [Reinforcement learning](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74)
* [Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning
](https://www.youtube.com/watch?v=KmQkDgu-Qp0)
* [23. Accelerating Gradient Descent (Use Momentum)](https://www.youtube.com/watch?v=wrEcHhoJxjM)
* [33. Neural Nets and the Learning Function](https://www.youtube.com/watch?v=L3-WFKCW-tY&list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k&index=34)
* [Who's Adam and What's He Optimizing? | Deep Dive into Optimizers for Machine Learning!](https://www.youtube.com/watch?v=MD2fYip6QsQ)
* [Vision Transformer Basics](https://www.youtube.com/watch?v=vsqKGZT8Qn8)
* [Attention in transformers, visually explained | Chapter 6, Deep Learning](https://www.youtube.com/watch?v=eMlx5fFNoYc&t=36s)
* [Vision Transformer and its Applications](https://www.youtube.com/watch?v=hPb6A92LROc)
**Robotics:**
* [Michel van Biezen: The Kalman Filter](https://www.youtube.com/playlist?list=PLX2gX-ftPVXU3oUFNATxGXY90AULiqnWT)
* [Michel van Biezen: GPS](https://www.youtube.com/playlist?list=PLX2gX-ftPVXXGdn_8m2HCIJS7CfKMCwol)
* [[Tutorial] Optimization, Optimal Control, Trajectory Optimization, and Splines](https://www.youtube.com/watch?v=j82Ia436DYY)
* [Drone Fencing with Control Barrier Functions](https://danielpmorton.github.io/drone_fencing/)
**Electronics**
* [残念ながら「プロ」と「ザコ」の設計で回路の性能はここまで変わります!](https://www.youtube.com/watch?v=8pcDDfv0GVs)
**Control**
* [Model Predictive Control from Scratch: Derivation and Python Implementation-Optimal Control Tutorial](https://www.youtube.com/watch?v=8BHMsKXlRq0)
* [Learn Control Correctly: PID Controllers Cannot Reject Time-Varying Disturbances](https://www.youtube.com/watch?v=GqQFm6-WCKo)
* [Understanding Lyapunov Stability in Modern Control Systems](https://www.youtube.com/watch?v=G7Zbd4PGRbU)
**Blockchain**
* [Blockchain In 7 Minutes](https://www.youtube.com/watch?v=yubzJw0uiE4)
* [But how does bitcoin actually work?](https://www.youtube.com/watch?v=bBC-nXj3Ng4)
**Text:**
* [Advanced Linear Algebra: Foundations to Frontiers](https://www.cs.utexas.edu/users/flame/laff/alaff/chapter01-conditioning-of-a-matrix.html)
* [Speech and Language Processing (3rd ed. draft)](https://web.stanford.edu/~jurafsky/slp3/)
---
## III. Talks
**Autonomous Driving:**
* [Amnon Shashua CVPR 2016 keynote: Autonomous Driving, Computer Vision and Machine Learning](https://www.youtube.com/watch?v=n8T7A3wqH3Q&t=2727s)
**Robotics:**
* [Boston Dynamics | Marc Raibert's talk@ICRA2023
](https://www.bilibili.com/video/BV1jk4y1s7aH/?fbclid=IwAR1jGxd_IBgcnKioqEETXPJoQvx0xRsPMwicR-EgF5iA58_L7KWSYCCC3lU)
* [MIT Robotics - Stefano Stramigioli - Bridging Robotics with Advanced Physics](https://www.youtube.com/watch?v=0AVCjYqkeyY)
**PX4 Developer Summit**
* [MAVLink on Modern Network Topologies - Thomas Debrunner, Auterion](https://www.youtube.com/watch?v=LXwdKToRvrk)
**Control:**
* [Benjamin Recht: Optimization Perspectives on Learning to Control (ICML 2018 tutorial)
](https://www.youtube.com/watch?v=nF2-39a29Pw)
**Deep Learning:**
* [Sanjeev Arora: Toward Theoretical Understanding of Deep Learning (ICML 2018 tutorial)](https://www.youtube.com/watch?v=rcR6P5O8CpU)
**Blockchain**
* [Michael Saylor — 21 Rules of Bitcoin (BTC Prague 2024 Keynote)](https://www.youtube.com/watch?v=1PkMFIa7rmQ)
* [Michael Saylor Keynote Bitcoin 2024](https://www.youtube.com/watch?v=O9KnBcWMkpw)
* [Jack Mallers Delivers The BEST Bitcoin Explanation of ALL TIME!](https://www.youtube.com/watch?v=Pef22g53zsg)
## IV. English Learning
* [ALL Grammar for ADVANCED (C1 Level) English in 12 minutes in 2025](https://www.youtube.com/watch?v=w7ZZdVlpOeo)
* [Learn English - how to use 'to get'](https://www.youtube.com/watch?v=yC3H33ONPkA&list=PLzMXToX8KzqhKrURIhVTJMb0v-HeDM3gs&index=1)
* [MUCH or MANY or A LOT OF??? Countable and Uncountable Nouns!](https://www.youtube.com/watch?v=uQIuZ6YJ760&list=PLzMXToX8KzqhKrURIhVTJMb0v-HeDM3gs&index=2)
* [Please, learn the rules! When do we use “THE” in English? (+ when DON’T we?)](https://www.youtube.com/watch?v=SKZSvtf9D_I)
* [Advanced English Grammar: Clauses](https://www.youtube.com/watch?v=FRp5Ufi2t0k&list=LL&index=4&t=4s)
* [5 Tenses = 90% of English](https://www.youtube.com/watch?v=Se5zT8Sjtg4&list=LL&index=6&t=4s)
* [ALL the Grammar you need for ADVANCED (C1 Level) English in 13 minutes](https://www.youtube.com/watch?v=BaX7xwa8Vh4)
* [Causative Verbs - HAVE, GET, MAKE, LET, HELP - English Grammar Lesson](https://www.youtube.com/watch?v=tdS-3oOZvVk&t=11s)
* [Reduced Relative Clauses - Defining and Non- Defining Relative Clauses - Advanced Grammar Lesson](https://www.youtube.com/watch?v=W-lgmBwBOpE)
* [Transitive and Intransitive Verbs](https://www.youtube.com/watch?v=21EKEf9jgEk)
* [Learn ALL Tenses in English: The Complete Course](https://www.youtube.com/watch?v=IaslvsYxFVU&t=707s)
---
## V. Linux Kernel
**Real-time Linux:**
* [Introduction to Realtime Linux
](https://www.youtube.com/watch?v=BKkX9WASfpI)
* [Real Time is Coming to Linux; What Does that Mean to You? - Steven Rostedt, VMware
](https://www.youtube.com/watch?v=BxJm-Ujipcg&t=2070s)
**Embedded Linux:**
* [Embedded Linux from Scratch in 45 minutes, on RISC-V
](https://www.youtube.com/watch?v=cIkTh3Xp3dA)
* [A tour of the ARM architecture and its Linux support
](https://www.youtube.com/watch?v=NNol7fRGo2E&t=2375s)
**Device Tree:**
* [Porting Linux to your favorite obscure Arm SoC](https://www.youtube.com/watch?v=Ep5Mbz0mQQQ&list=LL&index=17&t=669s)
* [Tutorial: Device Tree (DTS), Linux Board Bring-up and Kernel Version Changing
](https://www.youtube.com/watch?v=N6IW7JJQASc&t=4754s)
* [Device Tree for Dummies! - Thomas Petazzoni, Free Electrons
](https://www.youtube.com/watch?v=m_NyYEBxfn8&list=LL&index=21&t=2s)
**Linux Internals:**
* [Introduction to Memory Management in Linux
](https://www.youtube.com/watch?v=7aONIVSXiJ8&t=408s)
---
## VI. 哲學觀點
**關於生存與立足於當代社會的思考**
* [世界是一個龐氏騙局？你不富，是因為你不夠虛偽！
](https://www.youtube.com/watch?v=kye_CWKpgwI)
* [給未來孩子的信：不要圍觀他人的生活](https://www.youtube.com/watch?v=qa-5tMdU98c&t=341s)
* [福利特供 高考後的“分層之戰”和“人生破圈算法”](https://www.youtube.com/watch?v=aahy49Wipro)
* [年輕人究竟需要多少知識才夠應付這個油膩世界？| 湯質看本質](https://www.youtube.com/watch?v=wwnFU1YXebs&list=LL&index=464&t=176s)
* [畢業後，回到自己的階層：階級、自我、與（菁英）職場](https://www.youtube.com/watch?v=zNTVSsFJROQ)
* [為什麼有人會進步，有人永遠 #原地踏步？](https://www.youtube.com/watch?v=4otwwjMq-ow&t=1s)
* [中產階級怎麼教育出菁英孩子](https://www.youtube.com/watch?v=KLPYNKHZK5w)
* [「高薪但不喜歡」和「喜歡但低薪」該怎麼選？思考兩個問題，幫你做出不後悔的選擇](https://www.youtube.com/watch?v=v30iKK1eHUQ)
* [如果你也是不會說話的人那就點進來吧！ | 超硬核溝通符號學 | 湯質看本質](https://www.youtube.com/watch?v=AvWD-Sf-nC8&list=LL&index=611&t=1239s)
* [【深聊】為什麼不存在"向上社交"? 分享幾個我的故事](https://www.youtube.com/watch?v=zUcU-B-bfrg)
* [微軟兩年升四級，分享如何找到「貴人」？](https://www.youtube.com/watch?v=IfpF2e25S4g)
* [如何累積第一桶金？ ｜擺脫韭菜思維的最後一次努力｜Leon訪談_上](https://www.youtube.com/watch?v=9opd3YjEr14&t=801s)
* [如何超越中產階級？ ｜Leon談財富_下](https://www.youtube.com/watch?v=FsYCf_YuYvs)
* [如何超過99%的人: 時間管理的奧秘](https://www.youtube.com/watch?v=zWk69IPsMQs&t=347s)
* [屁股決定腦袋，還是腦袋決定屁股？](https://www.youtube.com/watch?v=24zRYz1DV_0&t=252s)
* [朱由檢以自身經曆來告訴你：權力的本質是什麼？](https://www.youtube.com/watch?v=87BwzI6JLm4)
* [李琳山教授 信號與人生 (2023)](https://www.youtube.com/watch?v=MxoQV4M0jY8)
* [我們為什麼要善良/論善良的價值 | 善良 | 競爭優勢 | 共感 | 生存策略](https://www.youtube.com/watch?v=qkjkJcG-5XY)
* [劉仲敬論上等人的自由、論文明的本質](https://www.youtube.com/watch?v=RUM_DSG18Lg)
* [劉仲敬-談教育的本意與理想的教育 論東亞僭主社會教育下的有害遺產](https://www.youtube.com/watch?v=q7wWo-hGZ5s&list=LL&index=3)
* [論證的哲學：說服他人之前，先說服自己](https://www.youtube.com/watch?v=TuecmshbBcA)
* [世界模型](https://www.youtube.com/watch?v=r0nsW3nIFgk)
* [擺爛的人可以擺爛，努力的人不能亂努力](https://www.youtube.com/watch?v=vT7F3nI25TU)
* [真正讓你窮下去的，不是工資太低，而是這些「系統性陷阱」！這6個真相令人心寒，普通人如何自救？](https://www.youtube.com/watch?v=EjMQSxH1UaQ)
* [現實毒打男人 社會呵護女人 命運饋贈的價碼 一期節目得罪所有人](https://www.youtube.com/watch?v=70RxTAYtScs&t=763s)
* [變強是主體性強者的唯一出路！](https://www.youtube.com/watch?v=55Qe7q1MR5k)
**教育**
* [肯尼•羅賓森 (Sir Ken Robinson) 問，學校扼殺了創意嗎? (中英雙字幕)](https://www.youtube.com/watch?v=6EgcAQrz7gA)
* [『如何逃出教育的死亡谷』 肯‧羅賓森TED精彩演講](https://www.youtube.com/watch?v=61NysQsWcKQ&list=PLOYkhtFjv5Yb1NOeUkpbwbGTiy0cqJRDa)
**國際政治**
* [戰事已起，遠方不只是遠方──烏俄戰爭時空全視角，第一講〈烏俄興戰的絕對與必然歷史關係〉](https://www.youtube.com/watch?v=gRxZzVyP0xc)
**古典哲學**
* [CH12. 盧梭論文明與人類不平等的起源 / 陳嘉銘老師](https://www.youtube.com/watch?v=x_DrDjqeDPQ&t=2499s)
* [人類不平等的起源是什麼？盧梭是怎樣看待“私有制”的？丨硬核經濟學科普丨經濟研究室](https://www.youtube.com/watch?v=qsJ5eCe6x-8&list=LL&index=437&t=68s)
* [知道的越多，越不幸福？無知是福嗎？](https://www.youtube.com/watch?v=0ua7vuXg8BY)
* [統治者必須向民眾說謊嗎？柏拉圖：高貴的謊言](https://www.youtube.com/watch?v=NCysqVNCXFQ&t=45s)
**存在主義**
* [他人即地獄- 你的世界觀從何而來? 薩特究竟啥意思？](https://www.youtube.com/watch?v=CWwfp8cEukk&list=LL&index=98&t=5s)
* [“他人即地獄”如果你在意他人的看法，你就進入了地獄](https://www.youtube.com/watch?v=_NB2Dr9exfI&list=LL&index=222)
* [【他心問題6】薩特：愛情就是互相奴役，他人即地獄！愛情關係註定要失敗](https://www.youtube.com/watch?v=OqQxbSBr80k&list=LL&index=223&t=57s)
**科學哲學/形上學**
* [這個世界是計算機模擬出來的嗎？](https://www.youtube.com/watch?v=v45po1lU6YE&list=LL&index=473)
**東亞**
* [菊與刀：日本文化的雙重性 The Chrysanthemum and the Sword: Patterns of Japanese Culture](https://www.youtube.com/watch?v=SU7VdLSFz6M)
---
## VII. 投資
* [你必須知道的ETF交易原理: ETF的價格是如何決定的?](https://www.youtube.com/watch?v=WrlRlfTf-nk)
* [看懂市場週期｜Mastering The Market Cycle](https://www.youtube.com/watch?v=mp6NCL0NDa8)
* [不要投機債券｜Don't speculate on bonds](https://www.youtube.com/watch?v=9Rq0J0lhsLs)
* [大實話: 財富自由不能靠股票，還得“擁有生意"](https://www.youtube.com/watch?v=bCrYXDi-br0)
* [想致富，9月內學會新技能比讀哪個科系重要](https://www.youtube.com/watch?v=MMOvpkjOfzg)
* [深度 為什麼不是所有的好機會你都需要參與的？北齊在國家戰略是怎麼百戰百勝後被拖死的？](https://www.youtube.com/watch?v=RJPouCVrJ7k)
* [投資大忌: 等"趨勢明確了"再投資](https://www.youtube.com/watch?v=b6oY5XxFWOg&list=LL&index=4)
* [How to Learn Crypto Trading FAST](https://www.youtube.com/watch?v=HpI5oAAph1k)
* [會計師解釋：讓普通人走向財務困境的金錢習慣](https://www.youtube.com/watch?v=oCwyVS1Rbj8&list=LL&index=9)
* [從零開始的選擇權入門！為什麼比特幣期權勝過傳統期權？！新手也能上手的基礎介紹、專業術語、獲利曲線、優勢短板、預測波動、買權賣權、實際操作與更多](https://www.youtube.com/watch?v=GT4w3eTh1DY&list=LL&index=48&t=964s)
* [這個投資組合能贏90%的人, 但為什麼你不敢投？](https://www.youtube.com/watch?v=iCnMpVYqJsc)
* [跨越財富階層，一般人一生只有三次機會！神秘的康波週期](https://www.youtube.com/watch?v=pHugijs4QsE)
**加密貨幣**
* [MVRV指標如何幫助你抄底和逃頂？](https://www.youtube.com/watch?v=TZWQniO4P10)
---
## VIII. 科普
* [【計算機博物志】戰爭密碼（上集）如何復刻一台恩格瑪機](https://www.youtube.com/watch?v=pWwyb64az9M&list=LL&index=20)
* [如何理解信息熵](https://www.youtube.com/watch?v=s7o-UpsZcw8&list=LL&index=24)
* [量子電腦會摧毀比特幣嗎？](https://www.youtube.com/watch?v=epGTAQW3po0)
* [區塊鏈到底是什麼？](https://www.youtube.com/watch?v=TVlo66aOZE0)
* [比特幣和區塊鏈啥原理？礦機挖礦咋回事？李永樂老師講比特幣(1)](https://www.youtube.com/watch?v=g_fSistU3MQ)
* [比特幣交易如何防偽？私鑰公鑰地址啥意思？李永樂老師講比特幣(2)](https://www.youtube.com/watch?v=pbAVauYsqP0)
* [20 年內所有疾病都將消失！？AI 會成為人類救世主？為何諾貝爾得獎主如此大膽預言？](https://www.youtube.com/watch?v=KXVJUgRh46s)
* [「卷積」到底「卷」了個啥？](https://www.youtube.com/watch?v=Aj9rKTzY5dg)
* [核電廠是如何建造的？](https://www.youtube.com/watch?v=X84pOx7D2JU)
* [為什麼遊戲總是要編譯著色器？](https://www.youtube.com/watch?v=6ZraACggaBU)
---
## IX. 機器學習 / 人工智慧
* [大模型解決不了英偉達的難題，AI新典範必將出現：專訪安克創新CEO陽萌](https://www.youtube.com/watch?v=kMBjzxKYWw4)
* [【人工智慧】大語言模型是死路一條 | 強化學習之父Rich Sutton | 理解松鼠才能理解AGI | LLM的致命缺陷 | 經驗學習範式 | 苦澀的教訓 | 真正的泛化 | 持續學習 | 宇宙演化](https://www.youtube.com/watch?v=RLR4OpetiEc&t=1873s)
* [「圖靈獎得主痛批 ChatGPT：我們用萬億美金，走上了一條錯誤的AI之路？」| 理查德·薩頓 | 路線之爭 | 強化學習 | 致命缺陷 | 人工智慧](https://www.youtube.com/watch?v=rv9vhv8AGuc&t=83s)
## X. 未歸類
* [【數學雜談】史丹佛數學博導對學生的建議](https://www.bilibili.com/video/BV1fN4y1i76Q/?buvid=Y64DB26D5A2AFFA946B7AF8C0EDF4153F543&is_story_h5=false&mid=OyIIB3rNokIedcv3a2sPs38FTQ%2FSZMtL1rElX6M3iMo%3D&p=1&plat_id=116&share_from=ugc&share_medium=iphone&share_plat=ios&share_source=COPY&share_tag=s_i×tamp=1715406213&unique_k=QKQb92v&up_id=180947374)
* [DIY Drones: War Will Never be the Same](https://www.youtube.com/watch?v=iE18uraHOcs)
* [How to build an Autonomous UAV for Long Range FPV & Autonomous Missions](https://www.youtube.com/watch?v=nn87IyFPEy4)
* [Why is Japan So Weak in Software?](https://www.youtube.com/watch?v=ky1nGQhHTso)
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