From 5fa1374ff8241b446432d59630f0e3a39f6ff164 Mon Sep 17 00:00:00 2001 From: AlchemyMage Date: Sun, 28 Jan 2024 21:59:46 +0800 Subject: [PATCH] upload --- _posts/2023-10-06-Krenz Perspective L8.md | 91 ----------- _posts/2023-11-11-Art-Music-Mapping.md | 24 --- _posts/2023-11-11-Thinkings.md | 32 ---- _posts/2023-11-18-art-music mapping.md | 148 ------------------ ...The Art of Stock Market Investment copy.md | 34 ---- _posts/2023-11-29-Self-Awareness.md | 38 ----- _posts/2023-11-30-Iterative.md | 60 ------- _posts/2023-12-01-about trading.md | 21 --- ...2023-12-02-dimensional reduction attack.md | 40 ----- _posts/2023-12-09-speed is key in startup.md | 16 -- _posts/2023-12-13-Self-Awareness Cycle.md | 16 -- _posts/2023-12-13-slow is fast.md | 39 ----- _posts/2023-12-15-Krenz Composition L8-zh.md | 102 ------------ _posts/2023-12-16-from old indistry to new.md | 22 --- _posts/2023-12-16-keep road wider.md | 30 ---- _posts/2023-12-19-Knowledge and Creation.md | 42 ----- _posts/2023-12-22-AI to the Rescue.md | 14 -- _posts/2023-12-30-Weather Forecasting.md | 10 -- _posts/2024-01-05-Learning Plateau.md | 14 -- _posts/2024-01-20-Learning from Digital.md | 14 -- _posts/2024-01-22-Paradigm shift.md | 109 ------------- _posts/2024-01-23-Theory of Success.md | 143 ----------------- _posts/2024-01-24-anti-aging.md | 56 ------- _shared | 2 +- 24 files changed, 1 insertion(+), 1116 deletions(-) delete mode 100644 _posts/2023-10-06-Krenz Perspective L8.md delete mode 100644 _posts/2023-11-11-Art-Music-Mapping.md delete mode 100644 _posts/2023-11-11-Thinkings.md delete mode 100644 _posts/2023-11-18-art-music mapping.md delete mode 100644 _posts/2023-11-28-The Art of Stock Market Investment copy.md delete mode 100644 _posts/2023-11-29-Self-Awareness.md delete mode 100644 _posts/2023-11-30-Iterative.md delete mode 100644 _posts/2023-12-01-about trading.md delete mode 100644 _posts/2023-12-02-dimensional reduction attack.md delete mode 100644 _posts/2023-12-09-speed is key in startup.md delete mode 100644 _posts/2023-12-13-Self-Awareness Cycle.md delete mode 100644 _posts/2023-12-13-slow is fast.md delete mode 100644 _posts/2023-12-15-Krenz Composition L8-zh.md delete mode 100644 _posts/2023-12-16-from old indistry to new.md delete mode 100644 _posts/2023-12-16-keep road wider.md delete mode 100644 _posts/2023-12-19-Knowledge and Creation.md delete mode 100644 _posts/2023-12-22-AI to the Rescue.md delete mode 100644 _posts/2023-12-30-Weather Forecasting.md delete mode 100644 _posts/2024-01-05-Learning Plateau.md delete mode 100644 _posts/2024-01-20-Learning from Digital.md delete mode 100644 _posts/2024-01-22-Paradigm shift.md delete mode 100644 _posts/2024-01-23-Theory of Success.md delete mode 100644 _posts/2024-01-24-anti-aging.md diff --git a/_posts/2023-10-06-Krenz Perspective L8.md b/_posts/2023-10-06-Krenz Perspective L8.md deleted file mode 100644 index 941a76d..0000000 --- a/_posts/2023-10-06-Krenz Perspective L8.md +++ /dev/null @@ -1,91 +0,0 @@ ---- -layout: post -title: "Krenz Perspective L8" -date: 2023-10-06 10:00:00 +0800 -tags: [Visual Art] ---- - -## ① Your nickname: -LatticeMage - -## ② TG number: -PosetMage - -## ③ Contact email: -latticemage@gmail.com - -## ④ The number of courses to apply for Haobao: -Perspective 13th period - -## ⑤ Works display: -![](/images/krenz-pers/PerspectiveL8A.png) - -## ⑥ Mind map/reference map: -![](/images/krenz-pers/ref.jpg) - -Because I saw artist using AI, I also wanted to experience this feeling. I also spelled some Stable Diffusion as a reference picture this time. - -Negative Spell: lowres, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, - -The main positive spell tried some combinations, such as: masterpiece, japanese anime style, steampunk alchemy, An alchemist is using an alchemy furnace to synthesize a formula, Mana, Homunculus, Elixirs, Cauldron, Astrology, potted plant, Herbal medicine, - -The main spell for the blue miko is probably blue theme miko or something like that, but because the perspective work was not colored, the blue color was not used, and I will continue to try to use the color course in the future. - -The idea process for this time was to start with my usual background image, which is the alchemy system, and to think in the direction of steampunk. Many groups have tried to sing SD, so I won’t go into details. - -Finally, I found some pictures of parts to supplement the details of the picture. - - -## ⑦ Painting & Thinking Process: -Taking this course is also a continuation of the AI ​​mentioned above. I often follow the trend and learn something. After AlphaGO came out, I followed the trend and learned Go shess. If I knew a little bit about Go, I could enjoy the content and explanations of the game. After the NAGA came out, I followed the trend and learned Japanese Mahjong. In the past few years, the fitness trend was popular, and I also followed the trend and learned heavy training and weight training. I get into the habit of exercising; AI drawing Midjourney appeared a while ago, and I followed suit and learned to draw, also to improve my aesthetics and get different views. - -As a former engineer, I used GPT coding extensively after GPT came out. Although most people without programming experience can write code with AI, those with a software background can better realize the potential of AI. This is also the main reason why I learn painting. Although people without experience can also use AI drawing, having domain knowledge can better exploit the potential of AI. So I also signed up for the composition class, and after the composition was completed, I also took the color class. - -For the L8 part, I wanted to think about what angle to choose at first. I wanted to add a little more challenge, so I chose an angle of 22.5° instead of 45°. The public version of the box was not very large, so I enlarged it with double, but it was still a little small. So the doors, windows, pillars, lockers, and control panels were all moved outwards. -![](/images/krenz-pers/process00.png) - - -The tri-view drawing is actually useless for this assignment. After all, the K University class is modeling from the three-view perspective, but this assignment is the other way around. In fact, the object is placed in the air first, and then it goes back to fill in the three-view view. It is more like It's for teaching assistants to check. -![](/images/krenz-pers/process01.jpg) - - -The teaching assistant at Node 1 commented that the door was too short and the objects were placed align axis, too boring. It would be better to put some oblique objects. -So Node 2 placed some books and scrolls slanted at an angle, the character also turned a slight angle, placed a slanted chair, and determined the viewing frame at the same time. -![](/images/krenz-pers/process02.png) - -The process of getting to Node 3 is a painful process of filling in details. There is a Node 2.5 in the middle and I asked the teaching assistant to do a point check. The teaching assistant suggested that the character will be out of focus when facing away. He also suggested some details that need to be added. -![](/images/krenz-pers/process03.png) - -The last node three process is the finishing action. Although it takes relatively little time, I am already very tired emotionally, especially since L8 took over from L7 immediately, and L7 is already very irritable. This feeling spreads to L8. - -After that, some mechanical details were added, such as the fixed lock of the machine. Because the structure of the tie rod area was unclear, gears were also drawn to complete the details. I encountered a problem in the middle. Drawing a small number of gears alone seemed too monotonous. -![](/images/krenz-pers/process04.png) - -So I made a clever way to borrow the concept of background pasting from L4. Here I also pasted a mechanical background to make it look 87% similar. -![](/images/krenz-pers/process05.png) - - - -## ⑧ Thoughts: -* Class experience: - * Those in the perspective class will explain the relationship between proportions. In the later stage, they will mainly talk about the sixteen-frame square. You may feel that it is not bad, but it is this "not bad" that can highlight the excellent course content of K University and make people with no experience feel It is very difficult to understand yourself. - Another difficulty is "systematization". Just like the various drawing books mentioned in the K University class, you will see various instructions or nouns. For beginners, it is easy to be confused or confused. K University has all the fragmentary content. They are all connected in the form of sixteen squares, and what we see is only the result of the sixteen squares, which also shows the excellence of this system. -*Painting experience: - * The long and painful process of redrawing the same object in a different position made me deeply doubt my life. Every stroke made me feel like I was fighting against myself. - This assignment convinced me of one thing, that is, as a former engineer, I cannot stand the large amount of mechanical content and repetitive labor in painting. - During this period, I mostly painted every day, if not every day, at least three days a week. In addition, in order to immerse myself in painting, I also watch Naoko Saito and Proko to accumulate aesthetics. This habit of watching YouTube should continue in the future. - -## ⑨ Areas that still want to improve: -Complete the remaining two subjects of composition + color, and the goal is to have at least a complete concept of painting. - - -## ⑩ Preschool works: -![](/images/krenz-pers/origin1.jpg) -![](/images/krenz-pers/origin2.jpg) - - -## at last: -I know that AI is currently facing a lot of headwinds. This is not the first time I have seen this phenomenon. As early as the time when AlphaGo came out, there were already situations where AI should not continue to be developed, AI plugs should be pulled, players were suspected of using AI, and AI was boycotted. , but looking back now, which top expert is not using AI? -When engineers are still saying that AI cannot replace engineers, there are already experts who are using AI coding. They only do code reviews, which has also confirmed that the production capacity has been raised to a higher level. -While the circle of painters is still saying that AI cannot replace painters, some people are already using AI as a drawing aid. -One of the best questions I’ve ever heard is: “Are you going to be the last group of humans not to use AI, or the first wave of pioneers to use AI? No one can make the wrong choice on this question.” \ No newline at end of file diff --git a/_posts/2023-11-11-Art-Music-Mapping.md b/_posts/2023-11-11-Art-Music-Mapping.md deleted file mode 100644 index e353038..0000000 --- a/_posts/2023-11-11-Art-Music-Mapping.md +++ /dev/null @@ -1,24 +0,0 @@ ---- -layout: post -title: "Art-Music-Mapping" -date: 2023-11-11 10:00:00 +0800 -tags: [Art] ---- - -The text draws parallels between the development of painting and music, focusing on their core concepts: - -1. In painting, the key concepts are Perspective, Composition, and Color: - - * Perspective is related to three-dimensional geometry. - * Composition involves the arrangement of points, lines, and planes, emphasizing dynamics. - * Color is about the study of colors, a field that has been deeply explored in modern painting styles. -2. The development of these elements in painting occurred in a specific order: Perspective was fully developed first, while Color theory is a more recent and deeply explored aspect. - -3. In music, these concepts have analogs: - - * Classical music is likened to Perspective in painting, requiring precise calculations and having a perfect theoretical structure (e.g., pieces that can be played backwards). - * Jazz and Blues focus on melody flow and rhythm, similar to the dynamic aspect of Composition in painting. - * Chord theory in music, which has been deeply developed only recently, is highlighted by mentioning Jacob Collier, known for his expertise in music theory. - -This comparison highlights the evolution and depth of theory in both art forms, showing how each medium has its own complex set of rules and development history. - diff --git a/_posts/2023-11-11-Thinkings.md b/_posts/2023-11-11-Thinkings.md deleted file mode 100644 index 90a10be..0000000 --- a/_posts/2023-11-11-Thinkings.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -layout: post -title: "Thinkings" -date: 2023-11-11 10:00:00 +0800 -tags: [Chat] ---- - - -### About Futher tech -* Multi-view render such as photon mapping may use in MMOVR game -* GPTs just like iphone app - * early developing will be replaced by official apps - * need to find other way such as airbnb, uber this different dimension -* AIGC will make it's harder for small creators to rise because the big ones easily get bigger. - * Previously, music was refreshed with new voices, but now AI can sing with any voice. Once a singer licenses their voice to AI, new singers lose the chance to replace them. - * The same goes for actors. With stars like Tom Cruise licensing their likeness to AI, new actors can't wait for their turn anymore. - -### About Philosophy -* my new concept: right/wrong need context, when arguing, some people reject your context means your are right because the context works. and further, his/her context need reject also. -* due to AICG and art ai, people who drawing is really for hobby not for money anymore. - -### About me -* TODO: change the mind that always prepare and not start, ex: keep waiting game engine updates, keep waiting AI improve, keep waiting algo trading script better. -* good mindmap updates - -## Other articles - -### future music AI -The text describes DALL-E 3 as a system where users communicate with GPT-4 to describe the image they want, instead of directly providing prompts to DALL-E. This might be inconvenient for some, especially those used to working with Midjourney or Stable Diffusion where they can specify certain objects in the image. However, the text highlights the importance of this approach in music AI, where a user can describe a type of music to GPT, which then instructs a music AI to create it. This is beneficial as most people cannot describe music technically but can reference a similar song, allowing AI to use terms like "Dorian scale" or "walking bass" to create music. - -### build up new concepts -The text reflects on the challenges of concept formation, emphasizing that learning and acquiring concepts in a single field can be difficult. However, it points out that individuals who have studied in multiple disciplines may find it easier to transfer and apply concepts from one field to another. This cross-disciplinary approach can facilitate a deeper and more versatile understanding, enabling the application of knowledge and ideas from one area of study to enrich another. \ No newline at end of file diff --git a/_posts/2023-11-18-art-music mapping.md b/_posts/2023-11-18-art-music mapping.md deleted file mode 100644 index a8983c7..0000000 --- a/_posts/2023-11-18-art-music mapping.md +++ /dev/null @@ -1,148 +0,0 @@ ---- -layout: post -title: "art-music mapping" -date: 2023-11-18 10:00:00 +0800 -tags: [Art] ---- - -🎨 Exploring Modern Art and Music 🎵 - -Ever noticed how modern art and music are like a melting pot of creativity? It's kinda like how MMA legends have become versatile fighters or how software development tools have evolved. Let's break it down: - -🖌️ Modern Art: It's all about taking the best bits from different styles and making something new. Like mixing paint colors on a canvas, modern art can blend various elements and still be uniquely itself. - -🎶 Modern Music: Think of modern music as a genre-bending DJ set. It samples from different music styles and creates cool tracks. Check out game soundtracks like "Alchemist" for a perfect example. - -💻 Modern Dev Tools: VSCode is like the rockstar of coding. It takes the core features from different coding languages and puts them together seamlessly. Old IDEs just can't hang. - -🥊 MMA Legends: Fighters like "The Beast," "The Bone," and "GSP" aren't one-trick ponies. They've mastered multiple fighting styles and blend them like a champ. - -💰 Trading and Investment: In the world of finance, it's all about adapting. AI suggests adaptability and risk management are key. It's a bit like poker – first, figure out who's the fish! - -🎨 Aesthetic Vibes: Whether it's hitting the right notes in music or nailing color palettes in art, it's all about precision. It's like being a foodie who can taste the smallest details in a dish. - -✍️ Creativity Notes: Creativity is like cooking or composing music. You start with rough notes (recipes or sheet music) but adjust based on how it tastes or sounds in the end. - -🏋️ Personal Optimization: In fitness, it's not about blindly following a plan. Your body's different every day. Lift heavy when you feel strong; adapt like a pro athlete. - -🤔 Understanding Yourself: It's like having a convo with yourself. Discover your own likes and dislikes instead of just going with what society says. - -So, whether it's art, music, coding, fighting, or investing, adaptability and self-awareness are the keys to success. Keep vibin' and exploring! 🚀 - -### build up new concepts -"Let's explore something different—using 'Dan' to categorize our journey in various domains. It goes like this: - -Ichidan (1st Dan) - Novices: Just getting started, diving into the basics. - -Nidan (2nd Dan) - Strugglers: Still finding our way, maybe undergrads or folks like me back when I was studying computer science. - -Sandan (3rd Dan) - Stepping Up: We can handle projects now. For me, this was when I started in game design. - -Yondan (4th Dan) - Professionals: This is where mastery kicks in. Before I left my job in programming, I'd say I reached this stage. - -Up to the 4th Dan, it's mainly about skill. The 3rd Dan acts as a bridge to the 4th Dan. Now, things get interesting: - -Godan (5th Dan) - Multitalented: These individuals excel in their field and bring a deep understanding of other areas. For instance, merging art and storytelling in painting. - -Rokudan (6th Dan) - Pinnacle: Taking the 5th Dan to a whole new level. They become leaders, standing atop the mountain. - -Shichidan (7th Dan) - Rare Connectors: Building valuable networks and relationships. - -Hachidan (8th Dan) - Trailblazers: These are the individuals who shape the times we live in. - -Ever wondered why so many experts talk about those above them? It seems like a pyramid structure in any field. But where do these people at the top come from? - -Once you reach the 4th Dan or above, it's no longer just about skill. The marginal differences between 80, 90, or 95 in expertise aren't that significant. - -In the realm of investing, for example, I've noticed that many successful investors have unique qualities outside their field. They might be entrepreneurs, have extensive networks, or possess other distinct skills. - -It's fascinating how 'Dan' stages in one domain often connect with expertise in others. That's the beauty of progression across different fields; it's not always a linear path." - -### origin zh words - - -學畫畫過程 感覺到一件事 現代畫風其實是吸收了所有畫風的精華 萃取出繪畫核心之後 可以加入任何元素 - -現代音樂也是如此 原先各種音樂類型 在現代音樂(我定義的現代音樂)中 萃取出核心 可以加入任何元素 起碼我在聽的BGM 比如鍊金系列 一堆神的跟鬼一樣的樂曲 裡面放入各種音樂類型又做得很好 - -然後跟AI聊 拓展到IDE也是 以前的IDE是for 單一語言的 -vscode就是現代開發流程 汲取IDE的核心 可以在一個專案中混用不同的語言卻很好用 不像以前IDE那樣無法融合 - -格鬥這幾年有看到這個雛形 三個UFC的傳奇人物 大力鼠 骨頭 GSP -他們都是全面型的角色 不像以往冠軍是靠一招打天下 -把各種技術(拳法拳擊 地板巴西柔術角力摔跤 立技泰拳跆拳道)...都練滿之後 逐漸混用 - -目前還只是雛形 還沒有一個是擷取所有精華的核心再套用其他體系元素的系統 -不過可以說這三個傳奇選手已經打開這個面紗的一角了 - -跟AI討論 -如何找到一套交易/投資核心通用概念 然後加入不同情境元素 -AI給我說大致上是 適應力, 風險管理, 然後複數策略組合去做平衡 - -適應力可能是知道這個環境玩家分佈或者現在處於怎樣的市場 -風險管理跟資金管理 -使用科技之類的 -蠻有道理的? 是不是類似撲克 其實要先搞清楚哪裡有多少魚? - - -美學的話 聲音的音準 跟 繪畫中色準型準 是一樣的概念 -我已經看過用料理比喻了 音準就是味覺準度 -美食家就是分辨到更小的單位 料理是用聞的 -其實料理反而是最多拿來mapping的概念XD - -樂譜跟食譜是一樣的 都是粗糙的筆記 -樂譜中的漸強 是指數 線性 還是對數型的漸強 漸強 是從多弱到多強是從1到7還是5到8 最終要以整首成品感覺為目標 - -食譜中會看到少許 那個少許為什麼是少許 因為要撒多少要取決於食材的狀態 其實廚師是邊聞味道決定要撒多少 最終是以成品味道為目標 - -重訓也是 很多人 看到幾RM 會以為要照表做完 -但人每天狀況是不同的 你今天可能覺得睡醒卡卡的 就不太會做到靈活度好的時候的重量 其實也是要以當天的肌肉感受度為目標 -最大的1下重量 可能每天是不同的 要視情況調整 - -再延伸概念就是 選手的調整狀態 就是他們對於自身感受很注意 -所以他們找到一套週期自己怎麼做可以剛好讓比賽當天是狀態最佳 -他們能做到一年中最大的那一下 就是比賽那一天 -備賽做比較好的 其實不會胡亂參賽 就是專精一個比賽 - -音樂也是 世界音樂大賽 其實那種常勝軍 也不會亂參加 -都是要調整狀態的 - -圍棋 撲克 麻將 這種競技類的也是 -以前聽導播或解說員說什麼選手狀態沒調整好 我以前都覺得"你在供三小 狀態沒調整好是三小" -現在就很好理解 有些選手平常表現不錯 但大賽反而表現不好 有些大賽型的選手平常比賽輸輸贏贏 但冠亞軍賽就爆贏一波冠軍 -狀態調整就是大賽型的選手知道自己身體狀況 怎麼做可以讓周期剛好在大賽期間是最佳狀態 - -理解自己就是一種跟自己對話的過程 -我以前聽到吉他老師跟我說吉他是一個跟自己對話的過程 聽畫畫老師說畫圖是跟自己對話的過程 -我以前都覺得這是三小 -後來才懂了因為原本的價值觀是社會給的 什麼好聽好看都是社會說的 -但自己靜下心來真的下去畫下去做 漸漸去感受自己喜歡或不喜歡每一筆 -一個探索真正自己的喜歡 而不是別人的價值 - -以前我從沒關注過我吃什麼 做什麼身體會有怎樣的變化 -但現在我會本能地注意吃了甚麼會發生甚麼身體感覺 -比如今年我第一次知道吃蛋黃酥會很口渴(超鹹) 吃漢堡王肯德基會口渴(超鹹) 會想喝雪碧或可樂是因為這個口渴 吃燒臘容易口渴(超鹹) 吃全家容易口渴 台式便當容易口渴 壽喜燒容易口渴 -以前只是覺得好像某段時間就很想喝可樂從來沒有去想為什麼 -現在才知道他媽的台灣路上隨便買都是鹹的要死 - -### build up new concepts -以其他領域來說好了 -我看過一個分類方式 可以拓展 -原始分類是 -初段 - 剛開始接觸 -兩段 - 不太行 本科混的人 比如美術系很大比例的人 資工系如你XD -三段 - 可勉強接案 我遊戲設計應該算這邊 -四段 - 專業程度 我離職前程式應該算這邊 -到四段為止是實力問題 三段也可以說是四段前的過渡期 -以上是眼界問題 -五段 - 畫畫的人不只懂畫畫 也懂電影敘事之類的 有獨特的見解 -六段 - 五段登峰造極 形成個人佔據一個山頭 -七段 - 稀有人脈 -八段 - 引領時代的人 -我之前就想過一個問題 為什麼一高手都說上面一堆人 -任何領域都是金字塔結構 哪來的上面一堆人? -到了四段以上 本身專業並不會有太大差異 -邊際效益80分到90 到95 差距都不大 -但是四段以上都不是實力問題了 -投資的這邊 我所知道的就是 很多投資做得好的 其實在其他領域有各自的特色 -比如投資之外 有創業 或者有人脈 或者有XXX diff --git a/_posts/2023-11-28-The Art of Stock Market Investment copy.md b/_posts/2023-11-28-The Art of Stock Market Investment copy.md deleted file mode 100644 index af4fc51..0000000 --- a/_posts/2023-11-28-The Art of Stock Market Investment copy.md +++ /dev/null @@ -1,34 +0,0 @@ ---- -layout: post -title: "The Art of Stock Market Investment: Decoding Strategies and Market Behaviors" -date: 2023-11-28 10:00:00 +0800 -tags: [Investing] ---- - -The Art of Stock Market Investment: Decoding Strategies and Market Behaviors - -#### Introduction -Investing in the stock market can often seem like navigating a complex labyrinth of numbers and predictions. But at its core, successful investment strategies hinge on a deep understanding of market dynamics and behaviors. In this blog post, we'll explore the nuances of stock market investment, emphasizing the role of fundamental analysis, market capitalization, and the intriguing interplay of algorithms and psychological effects like the Pygmalion effect. - -#### Section 1: Fundamental Analysis in Stock Investment -Fundamental analysis forms the bedrock of sound stock investment. It involves assessing a company's intrinsic value by examining its financial health, business model, and market position. This approach is particularly pertinent for larger, more established companies, where fundamentals like earnings, revenue growth, and debt levels significantly influence stock prices. In contrast, smaller or newer companies may not have a long enough track record for such analysis to be as predictive, making their stocks more susceptible to market sentiments. - -#### Section 2: The Dog and Owner Analogy -A helpful way to understand stock price movements is through the analogy of a dog and its owner. Over the long term, a stock's price (the dog) tends to follow the path set by the company's intrinsic value (the owner). However, in the short term, prices can be volatile and erratic, much like a dog straying from its owner's path. This analogy underlines the importance of patience and a long-term perspective in stock investing, recognizing that while short-term fluctuations can be unpredictable, the long-term trend often aligns with fundamental values. - -#### Section 3: The Impact of Market Capitalization -Market capitalization, or the total market value of a company's shares, plays a crucial role in investment strategies. Stocks of larger, well-known companies, often called blue-chip stocks, tend to have their prices more closely tied to fundamental analysis. These companies usually have a proven track record, making it easier for investors to predict future performance based on fundamental indicators. On the other hand, stocks of smaller or newer companies can be more influenced by investor speculation, with fundamentals taking a backseat. - -#### Section 4: Cryptocurrencies - The Extreme of No Fundamentals -Cryptocurrencies present an extreme case in the investment world, often operating independently of traditional fundamental analysis. The value of cryptocurrencies like Bitcoin is driven more by market sentiment, speculation, and supply-demand dynamics than by conventional financial metrics. This detachment from fundamentals makes cryptocurrencies a unique and volatile investment class, underscoring the diversity of strategies needed in the broader investment landscape. - -#### Section 5: Technical Analysis and the Pygmalion Effect -Technical analysis, which focuses on analyzing statistical trends gathered from trading activity, also plays a vital role in stock market investment. This approach is further influenced by the Pygmalion effect, where the expectations of market participants can lead to self-fulfilling prophecies. For instance, if a large number of traders believe a stock will rise and act on that belief, their collective actions can drive up the stock's price. This psychological phenomenon underscores the importance of understanding market sentiment and its potential impact on investment decisions. - -#### Section 6: The Role of Algorithms in Trading Dynamics -In today's digital age, algorithms have become an integral part of trading dynamics. These automated systems can execute trades at speeds and volumes unattainable by human traders. From algorithms designed to capitalize on market momentum to those set to trigger trades at specific technical indicators, these sophisticated tools significantly influence market trends and patterns. Their presence has transformed market dynamics, often amplifying trends and leading to new patterns in stock price movements. - -#### Conclusion -The stock market is a complex ecosystem where fundamental analysis, market capitalization, and psychological factors intertwine with technological advancements like trading algorithms. Understanding these diverse elements is crucial for crafting effective investment strategies. While the stock market may seem daunting, a thoughtful and well-informed approach can unlock significant opportunities for investors. As we continue to navigate these ever-evolving financial waters, it's imperative to stay curious, adaptable, and always willing to learn. - -This blog post offers just a glimpse into the intricate world of stock market investment. Whether you're a seasoned investor or just starting out, the journey towards financial savvy is ongoing, filled with both challenges and rewards. \ No newline at end of file diff --git a/_posts/2023-11-29-Self-Awareness.md b/_posts/2023-11-29-Self-Awareness.md deleted file mode 100644 index 36b6258..0000000 --- a/_posts/2023-11-29-Self-Awareness.md +++ /dev/null @@ -1,38 +0,0 @@ ---- -layout: post -title: "Self-Awareness: From Athletic Performance to Personal Health" -date: 2023-11-29 10:00:00 +0800 -tags: [Resilience] ---- - -Self-Awareness: From Athletic Performance to Personal Health - -### Mastering Self-Awareness in High-Stakes Performance - -#### Competition Psychology and Peak Performance - -In the realms of sports and music, the psyche plays a pivotal role. Athletes and musicians alike stand on a common ground – the ground of intense pressure and high stakes. The key to thriving in such an environment? A deep understanding of one's mental and emotional landscape. This self-awareness is not just about knowing one's strengths and weaknesses; it’s about tuning into the subtle nuances of the mind and body. How does one’s mental state fluctuate under pressure? What triggers anxiety, and what fosters focus? Answers to these questions are crucial in sculpting a mindset that can withstand the rigors of competition. The psychological preparation for a concert pianist and an Olympic sprinter might be worlds apart in content, but they share a common thread – meticulous, introspective, and often relentless mental conditioning. - -#### Willpower and Athletic Excellence - -Willpower, often glorified as an inexhaustible force, is, in reality, a finite resource. Athletes and artists must manage it judiciously. It's not just about pushing through every training session with brute force; it's about knowing when to push and when to rest. This balance is delicate and personal. What works for one might spell disaster for another. Peak performance is about peaking at the right time. It's a symphony of hard training and strategic resting, all orchestrated to ensure that when the day of the competition arrives, the reservoirs of willpower are brimming. But this isn't just about physical stamina; it's equally about mental resilience. The best in the field don't just train their bodies; they train their minds to endure, to stay unflinchingly focused amidst the cacophony of competition. - -#### Mental Preparedness in Strategic Games - -The world of strategic games like Go, Poker, and Mahjong offers a fascinating lens into the human mind. Here, mental agility, strategic foresight, and psychological warfare come to the fore. Players are not just contesting their opponents; they are battling their own minds. To win is to outthink and outlast, often for hours on end. This requires a reservoir of mental strength and willpower that only comes from disciplined practice and self-awareness. Understanding one’s mental triggers, maintaining focus under stress, and managing emotional responses are skills honed over time. These players, much like athletes and musicians, understand the power of the mind and the necessity of keeping it finely tuned for the challenges they face. - -### The Journey of Self-Dialogue in Creativity and Lifestyle - -#### Personal Artistry and Creative Expression - -Moving into the realm of art and music, we delve into a more introspective space. Here, self-awareness takes on a different hue – it’s about a dialogue with oneself. Creating art or music is often described as a journey into the depths of one's soul. It’s where societal norms and external expectations fall away, leaving the artist with their raw, unfiltered self. This process is deeply personal and immensely revealing. Artists learn about their fears, hopes, and dreams through each stroke of the brush or strum of the guitar. This journey isn’t always easy; confronting one's innermost thoughts never is. But it’s in this confrontation that true artistry is born. It’s here that one finds a unique voice, a personal style that’s not a mimicry of trends but an authentic expression of the self. - -#### Dietary Awareness and Lifestyle for Optimal Willpower - -Diet and lifestyle play an understated yet crucial role in this journey of self-awareness. The saying "you are what you eat" holds a deeper truth than often acknowledged. Our dietary choices directly impact our physical and mental states. For instance, the excessive salt in fast foods leading to persistent thirst is a simple yet profound revelation of how our food choices affect us. This awareness extends beyond mere physical health; it influences our mental clarity, emotional stability, and, consequently, our willpower. When we become more attuned to our bodies’ reactions to different foods, we start making choices that enhance our overall well-being. This isn’t about strict diets or rigorous fitness regimes; it’s about listening to our bodies and understanding what they need to function at their best. - -### Integrating Self-Awareness into Everyday Life - -#### Applying Lessons from Performance to Daily Living - -The lessons we learn from the world of high-stakes performance, be it in sports, music, or art, have profound applications in our everyday lives. Self-awareness is a universal tool. It can help us navigate not just the pressures of a competitive arena but the complexities of daily living. Understanding our mental and emotional makeup can help us in our relationships, our careers, and our personal growth. It’s about knowing when to push forward and when to step back, when to speak up and when to listen. This self-knowledge is empowering; it allows us to live more consciously \ No newline at end of file diff --git a/_posts/2023-11-30-Iterative.md b/_posts/2023-11-30-Iterative.md deleted file mode 100644 index 0ceddc3..0000000 --- a/_posts/2023-11-30-Iterative.md +++ /dev/null @@ -1,60 +0,0 @@ ---- -layout: post -title: "Iterative" -date: 2023-11-30 10:00:00 +0800 -tags: [Entrepreneurship] ---- - - -**Title: Navigating Personalities and Entrepreneurship: From Standard Frameworks to the Balanced 'Iterator' Approach** - -**1. MBTI and Gallup: Understanding Personality and Strengths** - - Introduce the Myers-Briggs Type Indicator (MBTI) and its 16 personality types. - - Present Gallup's CliftonStrengths (formerly StrengthsFinder) and its 34 themes. - - Discuss the mapping between MBTI types and Gallup's themes, highlighting their relevance in understanding individual traits and tendencies. - -**2. Insights from 'Zero to One': The Entrepreneurial Mindset** - - Explore the concept of the entrepreneurial mindset as described in Peter Thiel's "Zero to One." - - Discuss the notion of entrepreneurs often exhibiting bipolar-like traits, challenging traditional personality categorizations. - -**3. 'Thinking, Fast and Slow': Balancing Instinct and Calculation** - - Introduce the dual thought processes described in Daniel Kahneman's "Thinking, Fast and Slow" - System 1 (fast, instinctive) and System 2 (slow, deliberative). - - Relate these thought processes to practical examples like decision-making in Go chess, music, and art. - -**4. Summary: The Importance of a Balanced Approach and the 'Iterator'** - - Summarize the need for a balanced approach in personal and professional development, combining intuition and analytical thinking. - - Introduce the concept of the "iterator" as an embodiment of this balanced approach, constantly evolving and adapting across various skills and traits. - - Conclude by highlighting how the iterator approach offers a more comprehensive and adaptable path in the realms of entrepreneurship, creativity, and beyond. - - -**Title: Navigating Personalities and Entrepreneurship: From Standard Frameworks to the Balanced 'Iterator' Approach** - -**1. MBTI and Gallup: Understanding Personality and Strengths** - -The Myers-Briggs Type Indicator (MBTI) and Gallup's CliftonStrengths are pivotal tools in the realm of personal and professional development. The MBTI categorizes personalities into 16 distinct types, each with its own set of preferences and tendencies. These types range from the detail-oriented ISTJ (The Logistician) to the visionary ENFP (The Campaigner), offering insights into how individuals perceive the world and make decisions. - -Gallup's CliftonStrengths, on the other hand, identifies 34 themes of talent, focusing on areas where individuals have the potential to develop strong capabilities. These themes encompass a wide range of attributes, from Achiever and Strategic to Learner and Relator. While MBTI focuses on innate personality preferences, CliftonStrengths emphasizes developing talents into strengths. - -Mapping MBTI to CliftonStrengths, one might see parallels like the MBTI's INTJ (The Architect) aligning with strengths like Strategic and Analytical, indicating a preference for systematic planning and critical thinking. However, such mappings are not always straightforward, as individual personalities and strengths can manifest in complex and varied ways. - -**2. Insights from 'Zero to One': The Entrepreneurial Mindset** - -Peter Thiel's "Zero to One" offers a compelling view of entrepreneurship, highlighting that many successful startup founders exhibit traits resembling a bipolar personality. This observation challenges the notion of fitting into a single personality type or strength. Entrepreneurs often need to balance visionary creativity with pragmatic execution, embodying a spectrum of traits that might not align neatly with traditional frameworks like MBTI or CliftonStrengths. - -This bipolarity in entrepreneurial traits suggests a dynamism that is essential in the unpredictable landscape of startups. Entrepreneurs might simultaneously embrace the visionary thinking of an NF (Intuitive-Feeling) type in MBTI, while also exhibiting the practical decisiveness of an ST (Sensing-Thinking) type. - -**3. 'Thinking, Fast and Slow': Balancing Instinct and Calculation** - -In "Thinking, Fast and Slow," Daniel Kahneman presents two different modes of thought: System 1, which is fast, instinctive, and emotional; and System 2, which is slower, more deliberative, and more logical. This duality is evident in various skilled activities, from strategic games like Go chess to creative endeavors in music and art. - -In Go chess, for instance, expert players rely on System 1 to quickly recognize patterns and potential moves, honed through years of practice. Yet, they also engage System 2 for deeper strategic analysis of these moves. Similarly, in music and art, professionals can spontaneously create beautiful, elegant works, a testament to their finely tuned instincts (System 1), underpinned by years of disciplined practice and theory (System 2). - -**4. Summary: The Importance of a Balanced Approach and the 'Iterator'** - -The discussions above underscore the need for a balanced approach in personality development and decision-making. This balance is not just a blend of different personality traits or strengths but a dynamic interplay between instinctive and analytical thinking. - -Enter the concept of the "iterator," a persona that embodies this balanced approach. Unlike traditional frameworks that categorize individuals into specific types or themes, the iterator is characterized by continuous improvement and adaptability across a broad spectrum of skills and traits. In the context of entrepreneurship, this means being able to pivot between creative ideation and pragmatic execution, between visionary leadership and meticulous planning. - -The iterator approach aligns well with the realities of modern professional and creative landscapes, where versatility and adaptability are paramount. It offers a path that is not confined to singular strengths or personality types but is instead a holistic journey of ongoing learning and evolution. - -In conclusion, while frameworks like MBTI and CliftonStrengths provide valuable insights into personality and strengths, the iterator approach presents a more comprehensive and adaptable path. It embraces the complexity and dynamism of individual capabilities, catering to the multifaceted demands of entrepreneurship, creativity, and beyond. \ No newline at end of file diff --git a/_posts/2023-12-01-about trading.md b/_posts/2023-12-01-about trading.md deleted file mode 100644 index 647aef6..0000000 --- a/_posts/2023-12-01-about trading.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -layout: post -title: "about trading" -date: 2023-12-01 10:00:00 +0800 -tags: [Entrepreneurship, Investing] ---- - -### start up -start up need fast create product. That is, need to be pro. - -### - -* [【TRADER PODCAST】🇹🇼台灣交易員：單靠「Quant Trading量化交易」在熊市半年内，穩定獲利20%！｜量化交易就是最佳的交易策略？｜Chat w/ Trader EP6](https://www.youtube.com/watch?v=AjFZJxx6TBM) - -This video talk about DL need rule-based then fine tune to prevent overfitting - -* [【TRADER PODCAST】交易員：想在交易中賺第二個一百萬？STOP TRADING 別再交易了…｜台灣軍人轉戰量化交易 ！｜ Chat with Trader EP10](https://www.youtube.com/watch?v=5SdvOXghTXM) - - -This podcast talk about the trading in crypto need 2m to verify. -Gooaye says that stock trading strategy need 2y to verify. diff --git a/_posts/2023-12-02-dimensional reduction attack.md b/_posts/2023-12-02-dimensional reduction attack.md deleted file mode 100644 index 39b7667..0000000 --- a/_posts/2023-12-02-dimensional reduction attack.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -layout: post -title: "Keep dimensional reduction attack" -date: 2023-12-02 10:00:00 +0800 -tags: [Entrepreneurship] ---- - -## Inspired -I was an engineer. This proved invaluable as I navigated the complex and fast-paced world of financial trading. After chatgpt showed up, I experimented a lot with AI coding. This experience made me quickly improve in quantitative trading on crypto. - -However, this is not for the long term because traditional financial institutions are currently limited in movement by law. But, Bitcoin ETFs are going to pass. If this happens, traditional money will flow in here, and the profit will be hard to earn. - -That is, I need to change to another field at that time. This inspires me that I need to keep changing to different fields and do Dimensional Reduction Attack. - -## Doing "Dimensional Reduction Attack" Across Fields -For example, I was an engineer and transferred to use AI coding; the same, I use AI for drawing. Traditional drawing needs lots of references, and finding reference images requires fatigue search images. (Pinterest is a good website with an algo that can find similar images) - -And converting to stable diffusion is faster to generate ref images. When I was taking Krenz courses, my homework, when drawing, my references were generated by AI, which is very high efficient. And after GPT-4 with DALL·E 3 can draw, the prompt is more convenient to generate images by DALL·E 3. - -By this idea, I should fast move to modeling after finishing Krenz courses (4-dan = rank C to D = 60%) that the 4-dan drawing ability will provide deep understanding to make modeling as Dimensional Reduction Attack. I need to keep in mind that not to involution. - -And in the future, after modeling with 4-dan ability, then I need to fast move on to concept art. That is, using 60% modeling ability and 60% drawing ability to achieve concept art. - -And next, when I achieve 60% concept art ability, I need to remind myself not to go to involution, then fast change to learn movie storyboard. And after 4-dan storyboard, immediately convert to narrative storytelling. - -## The Evolution of Skills and Competitive Strategies -The idea of a "dimensional reduction attack" in new fields is fascinating. As complexity in a domain increases, the barrier to entry rises, leading to fewer people being able to make the transition effectively. This scenario has been a consistent aspect of my career transitions. Each new field I've entered has presented its unique challenges, requiring a depth of understanding that only comes from thorough learning and application. - -This is like UFC and One champion: Demetrious Johnson, he has every fighting skill such as wrestling, boxing, BJJ, Muay Thai, etc., that he can force his enemy to battle in the field that his enemy is unfamiliar with. That is, we need to hold many weapons to force fights on others' cannot. - -Change the Theory Concept of AI Make People More Closer -There is a theory that AI makes everything up to 6080% that people need to compete at 9095% to win others. - -## But now I have another theory, AI makes the upper bound higher. - -Before the AlphaGo era, humans pushed Go theory by linear speed to such 3400 that the best Go player's ELO is 3400. However, AlphaGo-Lee version is 3800, and Master is 4800, breaking the linear speed of improvement of Go theory. AI enormously pushed the upper bound to 4800, and even AlphaGo Zero is 5100. After humans saw AI playing Go, they also learned the method and concepts. Some people say that the distance between pro and amateur is closer and pros are closer, such as the top 500 players are higher than ELO 3000. - -But in another view, the 1st Go player, Shin Jinseo, is ELO 3868, and the 2nd Go player is ELO 3698. The distance is even more than 100. Incredibly large. - -That we can say AI makes the upper bound higher.AI makes us push to an incredible high level. \ No newline at end of file diff --git a/_posts/2023-12-09-speed is key in startup.md b/_posts/2023-12-09-speed is key in startup.md deleted file mode 100644 index 7245fc5..0000000 --- a/_posts/2023-12-09-speed is key in startup.md +++ /dev/null @@ -1,16 +0,0 @@ ---- -layout: post -title: "speed is key in startup" -date: 2023-12-09 10:00:00 +0800 -tags: [Entrepreneurship] ---- - -It's become increasingly clear to me how crucial speed is in entrepreneurship. My ability to use AI for coding and understanding investing has significantly accelerated my work in algorithmic trading. This pace is exhilarating, yet it's also a reminder of the areas where I need to grow. - -On the other hand, my progress in game design feels slower. My drawing skills aren't keeping up with the pace I desire. This is a stark reminder that learning and skill development are ongoing journeys. It echoes the logic of the TC=FC+VC theory, where the focus should be on Fixed Costs – investing time and effort in research and building a solid foundation, or a 'moat', around my projects. - -Reflecting on the broader picture of investing and startups, I realize that success often hinges on one's ability to gather and interpret information more effectively than others. Some are naturally adept at extracting more insights from the same information everyone else has. - -Networking, too, plays a pivotal role. It's not just about who you know; it's about the quality of interactions and the exchange of ideas. Casual meetings and discussions, like those I've had with industry experts, can unexpectedly trigger valuable insights and ideas. - -So, as I navigate my path, I'm learning to balance the need for rapid progress with the importance of continuous learning and building meaningful connections. It's a challenging yet exciting journey. \ No newline at end of file diff --git a/_posts/2023-12-13-Self-Awareness Cycle.md b/_posts/2023-12-13-Self-Awareness Cycle.md deleted file mode 100644 index cb64134..0000000 --- a/_posts/2023-12-13-Self-Awareness Cycle.md +++ /dev/null @@ -1,16 +0,0 @@ ---- -layout: post -title: "Self-Awareness: Cycle" -date: 2023-12-13 10:00:00 +0800 -tags: [Resilience] ---- - -Reflecting on the past six months, I've been intrigued by the rhythmic patterns of my physical and mental states. It's a cycle that seems to play out every 7 to 10 days: starting from an average state, escalating to a week where I feel on top of my game, and then, almost like clockwork, descending into a period where everything feels unusually challenging. This unpredictable cycle impacts my productivity in ways I'm still trying to understand. - -This observation led me to think about how elite athletes, particularly in high-stakes competitions, manage their physical and mental states. I recall learning that top-tier athletes, like weightlifters, often synchronize their peak physical states to coincide with major competitions. It's an art of adjusting one's cycle to ensure that their best performance falls on the crucial day of the event. This concept was initially foreign to me; I used to think that consistent preparation was all that mattered. But now, I realize that there's an element of luck involved - being in your best state during critical moments can make a world of difference. Some individuals always seem to have their important days clash with their off periods, while others are more fortunate. - -This deep dive into the world of athletic preparation intertwines beautifully with Georges St-Pierre's insightful categorization of combat sports practitioners into Athletes, Fighters, and Artists. Each category embodies a unique aspect of my own cycle: the physical vitality of the Athlete, the resilience of the Fighter during tough times, and the strategic acumen of the Artist in planning and execution. - -It's fascinating how this parallels the journey of self-discovery in sports and life. The importance of self-awareness, understanding one's rhythms, and the art of timing are crucial. It's about embracing the unpredictable nature of our states and learning to navigate them. Success, in many ways, is about aligning your peak state with critical moments, just as the best athletes do. - -This exploration has been a revelation, not just in understanding the intricate balance of preparation and luck but also in appreciating sports as a dialogue with oneself. It's about tuning into and managing these cycles, capitalizing on the highs, and navigating through the lows. \ No newline at end of file diff --git a/_posts/2023-12-13-slow is fast.md b/_posts/2023-12-13-slow is fast.md deleted file mode 100644 index 95def27..0000000 --- a/_posts/2023-12-13-slow is fast.md +++ /dev/null @@ -1,39 +0,0 @@ ---- -layout: post -title: "slow is fast" -date: 2023-12-13 10:00:00 +0800 -tags: [Resilience] ---- - -## Personal Note Entry: Reflecting on Life's Rhythms and Strategies - - -There's something profoundly poetic about the saying "slow is fast." It's a paradox that often unfolds in the most unexpected corners of life, reminding me of the intricate dance between patience and progress. In this fast-paced world, it's a mantra that feels almost revolutionary, a quiet rebellion against the rush. - -### Go Chess and the Art of Patience - -My mind wanders to the ancient game of Go, where the strategies of 後中先 and 下厚好處自然來 resonate deeply with me. These principles, emphasizing the importance of building a strong, solid foundation before making bold moves, are a testament to the power of patience. In Go, as in life, the most impactful moves are often those that are carefully thought out and built upon a stable groundwork. It’s a reminder that in our quest for quick wins, we might overlook the strength that comes from slow, deliberate progress. - -### The Journey of Deliberate Practice - -Reading "Peak: Secrets from the New Science of Expertise" has further cemented my belief in the value of focused, intentional practice. The idea of honing in on a single target at a time in skill development is akin to nurturing a seed with precision and care. Each practice session becomes a step in a larger journey of mastery, a journey not just about reaching a destination but also about understanding the depth and breadth of our potential. - -### Strength Training: A Metaphor for Life - -Strength training, in its essence, mirrors so much of life's philosophy. The right amount of effort leads to improvement, but overexertion can lead to stagnation or even regression. This delicate balance between pushing limits and allowing for recovery is a dance I often think about. It reminds me that growth is not always linear and that rest is as vital as effort in the journey of personal development. - -### Peak Performance and the Art of Balance - -"Peak Performance: Elevate Your Game, Avoid Burnout, and Thrive With the New Science of Success" has been a revelation. It speaks to the fine line between reaching one's peak and teetering on the edge of burnout. The book reaffirms my belief in the power of breaks, of stepping away to recharge. In a world that often glorifies constant hustle, this notion of rest as a strategic tool for maintaining peak performance is both comforting and empowering. - -### Contrasting Scientific Progress and Technological Advancements - -There’s an intriguing contrast between the methodical, hypothesis-driven approach of scientific progress and the meteoric speed of human technological advancement. It's a reflection of our dual nature - the patience to unravel mysteries over decades and the insatiable desire for rapid advancement. This duality is a source of endless fascination, a reminder of our limitless potential paired with a methodical approach to understanding the world. - -### The Power of Compounding in Life - -The concept of compounding has always struck a chord with me. It's the idea that small, consistent efforts, when compounded over time, lead to substantial outcomes. Whether it's skill development, relationships, or personal growth, the magic of compounding lies in its simplicity and the monumental impact of persistence. - -### Closing Thoughts - -As I weave these thoughts together, it's clear how each concept - from the strategic depths of Go to the disciplined approach of deliberate practice, the balance of strength training, the wisdom in peak performance, the measured pace of scientific discovery, and the power of compounding - forms a tapestry of understanding. They remind me that life's greatest lessons often lie in the interplay between patience and progress, effort and rest, and the humble acknowledgment that sometimes, going slow is the fastest way to move forward. diff --git a/_posts/2023-12-15-Krenz Composition L8-zh.md b/_posts/2023-12-15-Krenz Composition L8-zh.md deleted file mode 100644 index 61041c1..0000000 --- a/_posts/2023-12-15-Krenz Composition L8-zh.md +++ /dev/null @@ -1,102 +0,0 @@ ---- -layout: post -title: "Krenz 構成 L8心得" -date: 2023-12-15 10:00:00 +0800 -tags: [Visual Art] ---- - -# PosetMage-LatticeMage-構成11期-作業心得-L8畢業作品 - -本文連結：https://lattice.posetmage.com/2023/12/15/Krenz-Composition-L8-zh.html - -## ① 你的昵稱： -LatticeMage - -## ② Telegram使用者名稱： -posetmage - -## ③ 聯系郵箱： -latticemage@gmail.com - -## ④ 申請好寶寶的課程期數： -構成11期 - -## ⑤ 作品展示： - -![](/images/krenz-comp/L8.jpg) - -## ⑥ 心智圖/參考圖： - -* 心智圖 - * 使用markmap去寫 - * ![](/images/krenz-comp/L8%20markmap.jpg) - -* 參考 - * 上透視課時使用Stable Diffusion生參考，這次剛好GPT4更新提供DALL·E 3，所以構成課L6和L8都用上了DALL·E 3 - * ![](/images/krenz-comp/ref.jpg) - * 邊框的部分剛好遇到AI額度上限，直接先到Pintrest找 - * ![](/images/krenz-comp/ref2.jpg) - - -## ⑦ 繪畫&思考流程： - -#### 先設計系列 -一開始還沒想到要做什麼主題，最早是延續L6，想做這次做一個天使審判長，然後接著想其他可能順便精靈矮人。 - -後來不小心想到天使長拿槍，精靈拿弓，就順便把Fate的職階放進來，順便把地水火風也放入之後，整個系列就定調了，因此構想上加速很多，就是對屬性+職階+種族去做排列組合湊出一套覺得滿意的搭配，加上為了系列概念，採用的公版也使用同一個版本。 -![](/images/krenz-comp/L8%20cp0.jpg) - -反而是完成這個之後，才回去補寫心智圖。 - - -#### 選一張 -我原則上都會以嘗試新東西為主要方針，比如L4練習過風特效了，所以L6採用冰特效作為練習方向， -![](/images/krenz-comp/L6.jpg) - -基於嘗試新東西的原則，水風相關都不考慮了，其實一開始還是想畫天使長，後來考量到羽毛L2也練過，加上L6也畫過了護板、肩部護甲相關的戰士系服裝，所以也不考慮，最後選用了Caster的主題。 - -修改的過程，為了畫胸骨和頭骨，特地去看了proko的人體教學，學到了人頭是球去做結構延伸，胸腔用蛋去做延伸。 - -一開始在思考兩側外部長條要放甚麼，試了一個十字架，為了估另一側的形狀，不小心試到在放置兩側十字架，斜向內指有更強的視覺導引效果，所以就定版了使用這個概念。 - -![](/images/krenz-comp/cross.jpg) - - -順便延伸使用AI生成墓地的概念圖，把墳墓放入讓十字架豐富一點。 - - -#### 加入透視 -由於之前上過透視課了，這次希望作圖過程會帶入透視的概念，一開始花了很久在調整墳墓位置，試了幾次都不是很滿意，還特地選了當時透視L8的公版盒子。 - -試了數輪失敗之後才想起來perspective是損失z軸訊息的純xy二維結果，不同大小的物體並沒有差別，大物體在遠處跟小物體在近處是會一樣的投射結果，因此最後的作法是直接把草稿中的墳墓的線直接拉透視線對齊即可。 - -![](/images/krenz-comp/perspective.jpg) - -#### 加入外框 -一開始有放系列作規劃讓助教檢查主題，因此助教也建議做一個貫穿整個系列用的Banner，所以我也另外製作了塔羅牌外框 - -![](/images/krenz-comp/border.jpg) - -#### 細化-粗邊 -老實說到這邊因為平日比較忙的因素，花的時間太少，因此最後收尾採用簡便的方式，外框直接使用塗區域自動上外框的功能。其實這個方式在作業一的時候就使用過，在把五條魚做分解在合併的時候，把魚上底色再用邊界功能，接起來的時候自動有粗外框。 -![](/images/krenz-comp/trick1.jpg) -![](/images/krenz-comp/trick2.jpg) - - -#### 細化-收尾工作 -節點二給助教檢查之後做了一些微調，比如外框深淺、方圓對比。人物本身也稍微用線條做了方圓對比，再補上閉塞。 - -## ⑧ 心得： -相比於透視課的機械式操作，構成課有許多擺放的自由度，構成課作業比較沒有重複性的感覺。 -這堂課感受最深的是透過一次一次的作業，被助教提醒要記得方圓對比、簡繁對比、粗細對比、主次對比，物體擺放要有大有小、高低錯落、距離鬆緊、有近有遠。 -就算這樣到L8還是會部分忘記，只能隨著未來一次一次的練習讓這個思考變成本能。 - - -## ⑨ 還想提高的地方： -這次DLC有角色設計還蠻有興趣的就報名了，之後預計會去上色彩課把三寶搜齊。 -三寶搜齊之後，預計會先學用blender建模，結合建模和繪畫功力混合使用去做概念設計。 - - -## ⑩ 學前作品： -![](/images/krenz-pers/origin1.jpg) -![](/images/krenz-pers/origin2.jpg) \ No newline at end of file diff --git a/_posts/2023-12-16-from old indistry to new.md b/_posts/2023-12-16-from old indistry to new.md deleted file mode 100644 index d6329bc..0000000 --- a/_posts/2023-12-16-from old indistry to new.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -layout: post -title: "from old indistry to new" -date: 2023-12-16 10:00:00 +0800 -tags: [Entrepreneurship] ---- - -Recently, I've been thinking about how YouTubers play by their own set of rules. When YouTube first emerged, the filming techniques and scripts were still immature. Now, it has evolved, with various professional fields integrating into YouTube. I've seen HowHow's course, which felt like a complete film industry experience, including target audience setting, early script brainstorming, storyboarding, filming, and post-production editing. He has always loved performing various roles since his student days and has developed his interests here. - -Elisa has maximized her social skills, which she honed in college, by negotiating with sponsors. - -Professionals in medicine, law, physics, history, etc., use their expertise to educate on YouTube. - -Entertainers, stand-up comedians, talk show hosts, and manzai performers use their joke-telling abilities to increase traffic and fame. - -There are also news and current events... various fields are represented. YouTube's capabilities are comparable to those of older industries (media, comedy, teaching, film, etc.). The issue is that these industries are often occupied by older generations, leaving little opportunity for newcomers. - -With the widespread availability of information in the digital age and technological advancements, YouTube also starts from a baseline where everyone competes with an '80%' level of traditional professionalism combined with YouTube specialization. This is somewhat similar to the emergence of GPT, where everyone has access to high-level information and produces '80%' quality output. - -From this perspective, having one's own interest is most important. Deeply cultivating an area of interest, then spotting new opportunities to adjust in that direction is key. - -Currently, as YouTube declines, major creators are gradually exiting. While there are many reasons for this, the YouTube market for current students is mainly dominated by middle-aged adults who were early big names, monopolizing the algorithm \ No newline at end of file diff --git a/_posts/2023-12-16-keep road wider.md b/_posts/2023-12-16-keep road wider.md deleted file mode 100644 index 54976cc..0000000 --- a/_posts/2023-12-16-keep road wider.md +++ /dev/null @@ -1,30 +0,0 @@ ---- -layout: post -title: "keep road wider" -date: 2023-12-16 10:00:00 +0800 -tags: [Entrepreneurship] ---- - -## https://www.facebook.com/mannyyhl/posts/1752224735189982 - -In this post, we're still stuck in the old mindset of using AI in the same old ways, which is a typical pattern during the early stages of new technologies. Initially, those who excel at using these new technologies are often the experts in their respective fields. It's akin to when smartphones first introduced advanced camera capabilities; the first people to take stunning photos with their phones were professional photographers. As a result, the cost of staying competitive in the photography field rose (similar to the article's mention of AI-driven game voiceovers becoming the norm, potentially leading to increased costs due to bidding wars). - -However, smartphones also opened up new possibilities. Anyone could become a content creator and a YouTuber, and many YouTubers started their journey with just a smartphone. The reason AI is now used for voiceovers is that it has become affordable for everyone. Today, anyone with a CPU can use AI to add voiceovers to their games, leading to cost reductions under the new rules. - -For instance, AI can assist in drawing, so professional artists are integrating AI into their production processes to find references more quickly. For artists, using AI as a reference-finding tool has become a competitive race to have better and faster computers. - -But for conceptual designers, they don't need high-end computers to get started; they can input their concepts without the need for exceptional drawing skills. Therefore, AI reduces costs in this area. - -I've been thinking about how to obtain cost reductions in other fields without falling into a competitive race. Lately, in my trading endeavors, I've started to grasp this concept. In the past, quantitative trading was about competing for the length of network cables and bidding for them. Later on, the cost became too high, so institutions switched to using protocols with standardized cable lengths. - -When AI first emerged, large institutions used it to learn patterns for trading, and they had to continue the competitive race. (It's the classic scenario where the first users of new technology are the experts in the existing industry.) - -But for someone like me, who is outside of the industry, writing trading strategies with AI comes at a low cost. Even if I only make a 1% profit in a month, it's still profitable. (Large institutions, due to their substantial investments, need higher profit margins to cover their costs.) - -One recent insight I've gathered is this: when Master AlphaGo (the Go AI) plays against humans, it often starts by keeping the game open, maintaining flexibility, and avoiding early determinations. LuckyJ (jp Mahjong AI) frequently adjusts its flexibility during the card game, striving to keep the later branching possibilities open and broad. - -Language models like ChatGPT follow a similar approach. ChatGPT starts with a high degree of generality and then offers customization options through fine-tuning, preserving flexibility first and adapting as needed. - -Conversely, in the context of the rat race in capitalism, professionals who specialize in a single field find it increasingly difficult to switch to other professions the longer they stay specialized. Applying AI's logic, it's essential not to narrow our focus too early and to maintain flexibility when making decisions to keep future possibilities wide open. - -Looking at AI from this perspective, many professionals in various fields have made the mistake of pigeonholing AI into fixed roles, restricting their own potential by narrowing their paths. \ No newline at end of file diff --git a/_posts/2023-12-19-Knowledge and Creation.md b/_posts/2023-12-19-Knowledge and Creation.md deleted file mode 100644 index e520872..0000000 --- a/_posts/2023-12-19-Knowledge and Creation.md +++ /dev/null @@ -1,42 +0,0 @@ ---- -layout: post -title: "AI Revolution to see Knowledge and Creation" -date: 2023-12-19 10:00:00 +0800 -tags: [Brain] ---- - -With the advent of technology, others can easily catch up (knowledge spillover). Before AlphaGo came out, professional Go players could do a nine-stone handicap with computer. After AlphaGo, there were open source projects, and now even your smartphone can beat professional Go players. - -xAI's Grok, when asked certain questions, replies 'According to OpenAI's policy, I cannot answer this question.' Google's Gemini also has moments where it behaves as if it's GPT. - -Although OpenAI's terms state that their API cannot be used as a model for training competitors, in practice, it's virtually impossible to enforce. As soon as someone publishes an article written by GPT on the internet, other companies scraping web data will inevitably capture it. - -So far, no model has significantly surpassed OpenAI's, but it's not really a case of overtaking. Technology naturally evolves from what already exists. It's just that the number of competitors has suddenly increased, and those following can replicate similar achievements at a lower cost. - -Meta's LLAMA 2 has a mobile version for local use. Google's Gemini also has a mobile local version. - -The fact that these technologies have good outcome performance even on mobile devices shows that often the limitation is not computing power, but knowledge. John Carmack, a prominent figure in the game engine industry, once said that too much research focuses on stacking hardware rather than on algorithms. - -However, looking at AI development, to run on a mobile device, the premise is that it must first be developed on a supercomputer and then compressed for mobile use. - -A tsunami is already happening, and I find it terrifying that most people are not yet aware of the era of AI. On Reddit, when I discuss using AI for certain tasks, I often get downvoted. I think a big reason for this is that past intuitions are no longer applicable. It took eight years from the appearance of AlphaGo to ChatGPT, and people think that it will take another eight years for a technology of GPT's magnitude to emerge. But AI is now growing exponentially. AI chips are developed by AI, and AI algorithms are developed by AI, accelerating themselves. - -Last year, everyone was joking that GPT could only make random, nonsensical statements and couldn't think long-term. This year, OpenAI has Q*, and Google has AlphaCode2, both of which have long-term thinking capabilities. - -The difference between knowledge and memory is that memory is a fixed retrieval, like a Google search for existing web pages. Knowledge is deduction, like AIGC drawing pictures or writing articles. It's about inferring what color a pixel should be or what word should come next. - -I've been studying learning theories lately. From an evolutionary perspective, the human brain is structured for knowledge learning. School is painful because it's all about memorizing, even memorizing the process of solving problems, instead of learning a piece of knowledge and then deducing from it. - -The principle of knowledge learning is model compression. After seeing many scenarios, one finds a method that can explain them (a compressed model) and then applies it to new, unseen problems. The human brain, being knowledge-driven, is adept at abstract conceptual reasoning to adapt to new environments. - -For the next generation's education, perhaps we can encourage students to get used to encountering a wide range of content and to attempt compressive thinking. How to apply the fewest concepts to the most scenarios, and when encountering something new, to update the compressed model. I recall 高川格, a Go YouTube channel, where the creator initially found AI exciting. But after AI dominated human players, he struggled to find meaning in Go. After years of searching, his interpretation of Go became: - -'In the past, only what professional Go players said was the truth. Amateurs playing differently from professionals would be criticized. Humans can no longer defeat AI, and there's no need to pursue the truth anymore. Also, different AIs may support the same move on the board. But why play the game this way? You need to provide a reason, not an AI's reason, but your own.' - -Model compression in learning theory is about giving 'a reason' after seeing many things. Modern art has also evolved in this direction, from the Renaissance, classical, academic, abstract... to now where anything can be art. Performance art is also art. Anything that doesn't fit into a category is just called modern art. - -The point for an artist is to interpret, to 'give a reason.' Some art schools even base graduation on how students interpret their work; the work itself is secondary. - -A TED Talk by NiceChord(Wiwi) mentioned that in the classical period, because there were no phonographs, many performers were needed. But now, with iPods, everyone can hear music close to performance quality. Do we still need to produce so many human iPods? We should shift the focus more towards creation." - -help me naming this post title in short \ No newline at end of file diff --git a/_posts/2023-12-22-AI to the Rescue.md b/_posts/2023-12-22-AI to the Rescue.md deleted file mode 100644 index ca32c2a..0000000 --- a/_posts/2023-12-22-AI to the Rescue.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -layout: post -title: "AI to the Rescue: Reinvigorating Human Research and Culture" -date: 2023-12-22 10:00:00 +0800 -tags: [Tech] ---- - -In the past, it was normal to graduate with a Ph.D. in four years, but now it often takes seven or eight years to complete one's studies. Humanity has entered a period of slow progress. This is evident in academia, where Ph.D. students spend years just studying the work of their predecessors. The surge in the number of research papers makes it challenging to produce cutting-edge theories at a rapid pace, as we have seen in fewer generations like Einstein's. - -Writing new papers has become more challenging too. Many previously easy experiments have already been conducted, and current experiments often require extensive design. This has slowed down the pace of research. In many fields, progress now requires collaboration among top researchers from multiple domains. - -Recently, AI has begun to emerge as a ray of hope in addressing these challenges. Although it hasn't completely solved these issues yet, AI is making it easier to extract and organize relevant contexts from the vast sea of papers and assist in various experimental predictions. In the near future, anyone will be able to use AI for these purposes. Human research is entering a new era of logic, thanks to AI's emergence to address the cultural crisis of humanity. - -This trend extends beyond academia to the internet at large. There is an overwhelming amount of information online, including AI-generated content, leading to an exponential increase in internet data. Finding complete context and accuracy in this vast sea of information is becoming increasingly difficult. In the future, people will likely rely on AI to consume news or internet data, navigating through this complex and abundant information landscape. \ No newline at end of file diff --git a/_posts/2023-12-30-Weather Forecasting.md b/_posts/2023-12-30-Weather Forecasting.md deleted file mode 100644 index cbc2177..0000000 --- a/_posts/2023-12-30-Weather Forecasting.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -layout: post -title: "AI Advancements in Weather Forecasting" -date: 2023-12-30 10:00:00 +0800 -tags: [Tech] ---- - -Recently, I've heard podcast, 科技浪Tech.wav, has been discussing how DeepMind uses TPUs to achieve more accurate and energy-efficient weather forecasting compared to supercomputers using NWP (Numerical Weather Prediction). Traditional weather forecasting relies on various formulas involving atmospheric dynamics, thermodynamics, and more to predict the future. - -This development is analogous to actuarial science, where actuaries use population models, economic models, and technological parameters to estimate values. Just as AI models are now outperforming traditional methods in weather prediction, it suggests that actuarial science may also follow a similar path in the future, potentially reducing the need for actuaries. \ No newline at end of file diff --git a/_posts/2024-01-05-Learning Plateau.md b/_posts/2024-01-05-Learning Plateau.md deleted file mode 100644 index 2ddb197..0000000 --- a/_posts/2024-01-05-Learning Plateau.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -layout: post -title: "Learning Plateau" -date: 2024-01-05 10:00:00 +0800 -tags: [Neuroscience] ---- - -I've been mulling over this whole concept of learning plateaus. It's fascinating yet kind of aggravating how in certain areas like weight training or drawing, my progress doesn't really follow a neat, upward trajectory. It's more like trudging along a flat path for ages and then, surprisingly, finding a steep hill to climb that takes me to a new height. This pattern makes you question a lot about how we grow and develop skills. - -I've always had this expectation, maybe a bit naively, that improvement should be consistent and gradual. But the reality, as I've been experiencing, is far from it. Just a couple of days ago, I was doubting myself, thinking maybe I'm not actually moving forward. And then, quite unexpectedly, I experienced a shift, a break from that plateau. It happened with my language learning strategy - this new method of simultaneously listening to English audiobooks at double speed and reading along. It's like suddenly, everything made sense in a way it hadn't before. - -Reflecting on this, I'm starting to see how my other pursuits, like music and art, might have been subtly contributing to this moment. Learning music seems to have quietly enhanced my listening skills, while drawing sharpened my visual focus. Today's leap in language comprehension feels like a payoff for all these diverse, yet interconnected efforts. - -This makes me think about the deceptive nature of progress. It's not a constant ascent but more about long walks on flat ground and then suddenly finding yourself scaling new heights. Staying committed during those seemingly uneventful phases seems key. You really can't tell when a plateau might end and lead to a new, exciting phase of learning. \ No newline at end of file diff --git a/_posts/2024-01-20-Learning from Digital.md b/_posts/2024-01-20-Learning from Digital.md deleted file mode 100644 index dc6a1a3..0000000 --- a/_posts/2024-01-20-Learning from Digital.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -layout: post -title: "Learning from Books to Digital Media" -date: 2024-01-20 10:00:00 +0800 -tags: [Learning] ---- - -In the realm of learning and knowledge acquisition, we have long revered books as the foundational pillars. Their meticulous research and comprehensive nature have positioned them at the heart of educational systems and lifelong learning pursuits. However, the post-COVID world has introduced a significant shift in this landscape. As we navigate through this era, the emergence of digital media – podcasts, online lectures, videos – has begun to reshape our approach to learning and knowledge gathering. - -The evolution of learning resources marks a significant change in our access to information. Historically, the journey of acquiring knowledge through books, while enriching, was often slow and linear. In contrast, digital media offers immediacy and diversity. Podcasts and online lectures provide a dynamic and interactive way of learning, often bringing in a variety of perspectives and the latest developments, something that the traditional format of books might not always keep pace with. - -One of the most profound advantages of digital media over traditional books is the direct insight it provides into an author's or expert's mindset. When you listen to a podcast or watch an online lecture, you're not just absorbing information; you're getting a glimpse into the creator's thought process, their experiences, and the context surrounding their ideas. This immediate connection with the source can often lead to a deeper understanding than what a structured, edited book might offer. - -Moreover, the real-time nature of digital resources keeps learners abreast of the latest trends and developments. In contrast to books, which undergo a lengthy process of writing, editing, and publishing, digital platforms offer up-to-date content. This aspect is particularly crucial in fields that evolve rapidly, where staying current with the latest knowledge is key. \ No newline at end of file diff --git a/_posts/2024-01-22-Paradigm shift.md b/_posts/2024-01-22-Paradigm shift.md deleted file mode 100644 index 451a44d..0000000 --- a/_posts/2024-01-22-Paradigm shift.md +++ /dev/null @@ -1,109 +0,0 @@ ---- -layout: article -title: "AI時代的典範轉移" -date: 2024-01-22 10:00:00 +0800 -tags: [Paradigm Shift] ---- - -# AI時代的典範轉移 - -## 什麼是典範轉移 -[典範轉移(Paradigm shift)](https://zh.wikipedia.org/zh-tw/%E5%85%B8%E7%AF%84%E8%BD%89%E7%A7%BB)、或叫做範式轉換，由Thomas Kuhn提出的一個概念，是指科學的基本概念和實驗方式的根本性顛覆。 - -現在典範轉移被通用到各種不同的領域做擴展解釋，有一套與傳統概念截然不同的系統都能稱為典範轉移。 - -## 典範轉移的現象 - -典範轉移初期最常見的現象：「一個新的科技或者新的概念出現，第一批使用好的人往往是原本領域的專家。」 -[我在摄影史里窥见了AI绘画的未来](https://www.youtube.com/watch?v=XIUdwMrr2d4)從相機的歷史說明，相機出現初期使用好的人是原本手繪的專業人員，比如繪師因為相機的出現畫得更好；後來經過眾人的探索，提煉出攝影專有的特色：「紀實」。 - -所以典範轉移初期狀態會維持到的新媒介出現獨有體系，[【游戏众生相】深度讨论！游戏叙事的轨迹和方向！](https://www.youtube.com/watch?v=DaNd6QbW43E)提到電影這個媒介在初登場時期，大家不認為電影有別於其他藝術如歌劇、小說等媒介不同之處；直到出現蒙太奇(Montage)手法，電影敘事才有一個獨立於其他媒介的體系。 - -而典範轉移後期則是由另一批玩家崛起，[ChatGPT给的机会, 你能抓住吗?](https://www.youtube.com/watch?v=KoT08Kno10A)提到現在專業人士對AI的批評在於：「就算所有人都能用AI繪圖，大部分的人也不會成為繪師。」，這個觀念就是還停留在原本的範式。 -影片提到，所有人都能用AI繪圖，本來就不代表所有人要當繪師，就如同手機能拍影片，人人都可以拍片的時候並不需要人人都是電影製作人，可以是當自媒體或拍短影音。人人都能寫程式之後，並不是人人都要當工程師，而是獲得了一個能解決問題的工具。 - -繪畫領域也是，[我在摄影史里窥见了AI绘画的未来](https://www.youtube.com/watch?v=XIUdwMrr2d4)也提到，AI繪圖出現之後，打開概念設計新的可能性，傳統做概念設計需要先學上十年的畫功，才能表達心中所構想的世界，但也常常在畫技尚未磨練至可用程度之前，就已經燃燒殆盡。有了AI繪圖輔助之後，學概念設計可以直接從表達作為起點了，這就是一種新的範式。 - -非專業領域的人，用AI去達到60分的程度，從而開拓新的方式，AI時代的典範轉移。 - -## AI製造典範轉移的其他例子 - -#### 科學界 -[奇点临近：AI 将掀起第三次科学革命，ChatGPT只是探路者](https://www.youtube.com/watch?v=WqU8tJr5faA)影片中提到，現代科學原本以為已經是相當成熟的系統，不可能會有什麼新的範式出現來取代。 -但AI出現之後，傳統的**觀察->假設存在一種規則->實驗驗證**，轉變成**資料餵給AI->AI預測結果->驗證結果**，這套系統已經不存在人類對規則的理解，確實是證明了新的範式可行性。 - -#### 繪畫 -2022年 Stable Diffusion和Midjourney，繪圖AI的出現，大幅減少了繪圖前期籌備的時間。其實繪畫在著手之前需要找大量的素材，這個時間佔比甚至可能是占用整個創作過程大部分的時間。 - -如同前面提到，現在使用AI能對繪圖上商業有顯著輔助的，往往也是繪圖專業人士。但開啟新的一條路是撬開概念設計之門，讓所有繪畫小白都能表達。 - -典範轉移則是沒有繪畫能力的人，比如小說家，只要prompt就能幫自己的小說畫一些插圖。 - -#### 程式 -ChatGPT和GitHub Copilot具備寫程式的能力，目前AI寫程式對商業有顯著輔助的也是專業的工程師，而且只有少部分工程師在使用AI。而且AI寫程式只是過渡，之後會將AI寫程式大幅取代的是自然語言編程，而GPTs已經是了，可以參考[聊天就能编程！我用GPTs做了个自己的数字化身](https://www.youtube.com/watch?v=pjKD3coLju0)示範。 - -#### 寫作 -與AI繪圖類似，現階段使用AI輔助好的人。也是原本文字創作者，比如寫行銷文案，[許耀仁](https://www.youtube.com/@releaser100)提過他認為AI比人還好教，只要給AI domain knowledge，就能有很好的行銷文案產出。 -而這個給AI domain knowledge的方式，現在直接有GPTs可以用。 - -#### 資訊獲取 -前一次的典範轉移是搜尋引擎，在搜尋引擎出現之前，通常要去圖書館查詢資料，因此記憶大量知識在當時是很重要的能力。 -搜尋引擎出現之後，記憶大量知識不再重要，重要的是使用關鍵字搜尋資料的技巧。 -GPT出現之後，搜尋知識或資料的技術也將不再是最重要的技術，而是使用搜尋到的知識，應用能力將是下一個戰場。 - -#### 競技 -* 圍棋 - * 2014年AlphaGo擊敗李世石之後，圍棋手都在研究AI的邏輯，甚至現在是用AI吻合度來評判一手棋下得好不好。 -* 撲克 - * 2017年CMU開發的Libratus血洗了頂尖的職業撲克手之後，GTO和Nash變成撲克的基礎理論，傳統的撲克策略都被推翻了。 -* 日麻 - * 類似圍棋，NAGA出現之後，也是在研究NAGA的打法。 - -AI也改善了傳統圍棋比賽大部分人看不懂的狀態，因為現在AI能給雙方勝率，比如黑方勝率現在是65%，觀眾一目了然現在是黑方優勢，讓圍棋比賽像是在看有比分的球賽轉播。 - -## 面對AI時代的反應 - -#### 過渡期 -雖然AI看似在短時間內引起大量爭議，著作權問題、不該繼續發展AI、某某某被質疑使用AI、各種肥皂劇，其實早就上演多次了， - -2014年當時的職業圍棋手對於AI下法是很震驚的，顛覆許多人類的棋理，職業圍棋手對於AI感到恐懼，已經有應該拔掉電腦插頭的論述。不過當時圈外並沒有太多的反應，認為不過是一個下棋比深藍強的電腦而已。 - -畢竟大部分的人不懂圍棋，並沒有理解到AI具有的潛力，不過當時就已經有AI下棋沒有人類的情感、AI是冷冰冰的機器等說詞。 -看到現在，繪師圈在說AI繪圖是沒有情感的、編劇也在反對使用AI寫小說或劇本、最近有AI機器人可以料理，想必接下來會出現AI料理沒有靈魂的說詞。 - -但是從圍棋史來看，從當時的紛紛擾擾到現在圍棋手使用AI作為輔助是再正常不過，也可以預見的未來各種領域使用AI是再正常不過。 - -#### 解放論 -工業革命當時也有人類跟機器鬥爭的戲碼，而到了現在，AI只不過是把當時的路再演一次。 -機械生產大量服飾之前，是需要人工製作衣服，所以紡織是一個技術活。但是當機械大量生產衣服之後，新的典範轉移就產生了，服裝的搭配形成一套新的系統，而手工衣服則轉向了高價單品的存在。 - -AI繪圖也是解放，在過往學手繪會被說難以賺錢，但現在學手繪就會被大眾視為真的熱愛的興趣。 -各種AI工具的出現，是一種解放，所有人都可以被AI解放。 - - -## AI時代該有的心態 -#### 全局戰略比局部戰術還重要 -AI在很多地方證明了全局戰略比局部戰術還重要，圍棋AlphgGo下棋往往在局部吃虧是不在意的，化身AlphaStar去打星海也是，重點是大局的掌控。 -日麻LuckJ也是類似的表現，LuckJ並不在意一些牌張打出去的順序，它在意的是整體手牌的規劃需要爭一避四。 - -Transformer的AI不管是語言還是影像辨識，也都展現了對於全局的理解比局部更重要。 -當大家在笑AI繪圖不會畫手、透視畫錯的時候，證明了AI繪圖重點是第一眼好看，整體的好看比局部畫對更重要。 - -在局部過多的糾結也是一種overfitting。 - -所以從AI獲得的啟發，應該更關注在全局與應用，全局思考需要透過長時間的深思，推薦影片[如何超过99%的人: 时间管理的奥秘](https://youtu.be/zWk69IPsMQs)。這個影片提到 Hamming, "You and Your Research" (June 6, 1995) 這場演講提到講者每周五都會花一個下午沉思大問題。我們也應該規劃一段例行性深思的時間。 - - -#### 彈性思維 -AI在各領域都展現出比人類更彈性的思維，比如AlphaGo下棋往往會讓自己有許多好的選點後手、LuckyJ打牌往往會調整牌的彈性、..... -具備彈性思維是我認為未來的重點之一，但要具備彈性思維的前提是擁有夠多的武器庫，比如UFC傳奇選手骨頭、GSP、大力鼠都展現了豐富的武器庫，這樣才能站立轉換到地面、或者從地面過渡到站立，只有更全面的技術才能逼對手打他不擅長的局面。 - -以往要學多種領域來應用是困難的，包含資訊不夠流通或不易取得。不過covid-19之後，全世界進入遠端，很多優秀課程都轉到線上；加上GPT或繪圖等AI作為生產力的輔助，要學習新領域並且應用的門檻已經大幅下降。 - - -#### 其他參考資料 -* [星海爭霸2 Alphastar 對職業選手，分析圍棋理論運用在電競](https://www.youtube.com/watch?v=7Zggz9H3c08) -* [【小六德州撲克】全世界最強的德州撲克玩家就是他！強到被懷疑是AI人工智慧！？原來德州撲克是可以被破解的？](https://www.youtube.com/watch?v=gISt1BX-HAM) -* [【日麻少年】手牌解析 #20 天鳳特桌最速十段日麻AI LuckyJ 打牌方式讓NAGA和少年都霧煞煞](https://www.youtube.com/watch?v=4XIfqDdMWLI) -* [【小六德州撲克】全世界最強的德州撲克玩家就是他！強到被懷疑是AI人工智慧！？原來德州撲克是可以被破解的？](https://www.youtube.com/watch?v=gISt1BX-HAM) -* [神经网络（八）计算机视觉中的transformer](https://www.youtube.com/watch?v=08J22Zs0F6Q) diff --git a/_posts/2024-01-23-Theory of Success.md b/_posts/2024-01-23-Theory of Success.md deleted file mode 100644 index 8566dbc..0000000 --- a/_posts/2024-01-23-Theory of Success.md +++ /dev/null @@ -1,143 +0,0 @@ ---- -layout: article -title: "科學化的成功學" -date: 2024-01-23 10:00:00 +0800 -tags: [Resilience, Neuroscience] ---- - -# 科學化的成功學 - -## 前言 -看到坊間很多成功學的內容，往往是吸引力法則、激勵喊話、暗示自我之類的方法，有些人可能用這些方法成功，但大多數的人用了卻沒效。因此這篇科學化的成功學理論目的是達到具備可通用性的認知能力。 - -目前對於科學化成功學比較完整系統的方法論是《不可能的任務：創造心流、站上巔峰，從25個好奇清單開始，破解成就公式》，不過本文大部分內容跟這本書沒有交集，算是補足書中沒提到的部分。 - -## 神經可塑性(Neuroplasticity) -為了讓所有人都可以執行，所以我們需要先了解大腦具備神經可塑性(Neuroplasticity)。也就是腦神經是會增長的，因此要先提到兩種心態成長型心態（Growth Mindset）和固定型心態（Fixed Mindset）。固定型心態的人會認為沒有天分是做不到的；而成長型心態是認知到人腦具有很強的改變結構可能性。舉例來說，台灣大部分的人看到畫畫的人，往往會用自己沒有畫畫天分，只有少數人有畫畫天分作為藉口，因此就完全不畫畫。而真正執行畫畫的人，是會體驗到進步是需要大量練習的，因此別人口中的天份，其實只是經驗的累積。 -要理解神經可塑性的例子，有人切除胼胝體(Corpus callosum)之後，單側腦仍然演變成具備完整個決策能力的腦。 - -改變大腦的方法很多，包含學習新的領域、吸收新知、接觸新的環境、冥想、......。 - -## 安全邊際 -安全邊際是成功最重要的基石。簡單的說就是因為我們需要成長、做各種嘗試、各種學習、獲取大量經驗堆疊而成。因此我們需要無限堆疊經驗直到成功為止。 -為了無限堆疊經驗，就要防止自己中斷，就好比玩遊戲我們需要無限命。在各種領域往往都能看到類似的論述，比如格鬥的冠軍，重點不是倒下多少次，而是每次倒下都要再爬起來；比如交易，重要的是本金不能燒光，每次交易遇到各種各樣事件之後學會經驗，直到自己能執行賺錢的交易策略；比如創業，需要一次一次倒下又站起來直到成功。 - -#### 其他參考資料： -[个人成功和安全边际｜我和贫穷的故事](https://www.youtube.com/watch?v=sTQQUKWb0G4) - -## Resilience -成功學最重要的核心能力是Resilience，表示心理韌性，是一種對抗逆境的能力。一般在聽到創業需要心態、交易需要心態，這裡所謂的心態是Resilience，並不是指心術正不正的那種心態。 -所謂的心態崩了，就是倒下一次之後，站不起來的狀態。 - -Resilience是面對困境之後在倒下之後能站起來的心理素質。這是一個需要訓練的專業能力，就像彈鋼琴一樣，並不是跟你說五線譜上的音符代表黑鍵白鍵，看完別人演奏一次你就能演奏。 -訓練這個能力的方法有很多，比如競技場上就是很好訓練Resilience的地方，需要大量的比賽經驗，一次一次輸，一次一次不甘心得再次爬起來。另一個訓練方式是學習專業能力，因為學習專業能力過程需要面對一次一次的做不到，慢慢的磨練到可以做到。 - -UFC傳奇冠軍次中量級之神GSP把選手分為三類：Fighters, Athletes & Artists -原文比較模糊所以我基於Resilience重新做了詮釋： -* 鬥士(Fighters) - * 天生偏向是社交型的人，這裡的社交型並不是指喜歡與他人培養感情，而是展現自我的優秀，獲勝策略往往是透過理解對手，喜歡關注他人。 -* 運動員(Athletes) - * 可以說是Fighter的相反，Athletes喜歡關注的是自身狀態，提升自己的身體素質、心理素質，透過計畫或管理自身來達到超越自己。 -* 藝術家(Artists) - * 字面上最好理解的，既不是關注自身或者關注他人，而是喜歡鑽研某個領域 - -這三個類別並不是互斥，而是比例上的光譜，比如有人性格是30%鬥士 20%運動員 50%藝術家 - -這個分類方式不是只能用在MMA分類上，也可用在Resilience的訓練方針上， -* 鬥士很適合選擇與他人交手的競技，比如RTS、球賽、撲克...... -* 運動員適合參加個人積分類的比賽，比如小提琴大賽 -* 藝術家性格的人，適合透過鑽研一個專業的過程去培養心性 - -這個並不是單一鎖死的分類，比如鬥士小提琴家享受的是比賽的過程、運動員小提琴家享受的是備賽的過程、藝術家小提琴家享受的是技術精進的過程。 - -[怪獸訓練電台](https://www.youtube.com/watch?v=T7CEqD87wmU)也多次提到競技就是模擬人生，從比賽中學到面對人生困難的心態 - -## 決策品質-期望值思維 -這個段落跟Resilience都是專業能力，都是需要訓練的。 -人腦再尚未訓練的狀態天生思考方式是線性和確定性，比如很容易相信未經查證的訊息，因為我們在原始時代沒有時間去考據。 -舉例來說，聽到沙沙聲，需要做的是立馬拔腿就跑，而非去驗證是風吹還是老虎。甚至可以用演化來說，有查證習慣的人都死了。 - -確定性是動物本能都想找到一個因果關聯性，鳥類哺乳類各種動物都會試圖尋找一種歸因，其實就是信仰行為，因為遠古時代沒有科學化的方法驗證，人類是到近代才有科學系統可以驗證。 - -要訓練期望值的思維就要面對不確定性和隨機性，比如比賽就是很好的訓練、或者卡牌遊戲、桌遊等。 -面對未知和隨機的思維要使用期望值EV(Expected Value)，EV是在大量的統計會呈現的趨勢，要做的事情就是讓勝率x結果是正期望值(+EV)，反之如果長期是虧損則是負期望值(-EV)。 - -很多人分不清賭博和投資，其實只要用EV來看即可，賭博是-EV，投資是+EV。 -會跟EV相伴的另一個概念是波動，短期的波動會讓人誤解，困難之處在餘人腦天生不是隨機性思維，會把單一次成敗歸因。 - -要訓練到思考方式是以+EV為目的，如此只要大部分的決策是+EV，長期就會累積出可觀的結果。 -怪獸訓練名言是「不要高估一天所能達到的成就，也不要低估一年所能累積的效果」。 - -Resilience跟EV思維也是相輔相成的，短期的失敗如果心態開始崩，導致做出了-EV決策，後續結果會更慘。 - -#### 其他參考資料： -* 《高勝算決策：如何在面對決定時，降低失誤，每次出手成功率都比對手高？》 -* [德州撲克到底是技術還是運氣？技術運氣比重又分別是幾比幾呢？來聽聽前職業德州撲克玩家怎麼說！｜小六德州撲克](https://www.youtube.com/watch?v=2iwgZC5mHuk) - -## 學習理論 - 髓鞘化 -學習理論需要提到大腦非常重要的一個機制髓鞘化(Myelination)，髓鞘化是網狀的腦神經中，神經元和神經元之間建立髓鞘(myelin sheath)，長出髓鞘之後神經的反應速度會變快，也就是所謂的肌肉記憶。 - -髓鞘化需要重複的練習，加上一段時間的休息，大腦才有足夠的時間建構這個加速通道，好的睡眠品質是很重要的。 -《一流的人如何保持顛峰》書中提到一個公式：**壓力+休息=成長** -學習過程的高原效應就是尚未完成髓鞘化。 - -髓鞘化後的神經訊號很少，速度快，因此如果掃描一個新手正在學樂器的大腦，會有大量的訊號。 -反之掃描冠軍的大腦，因為訊號很快傳遞結束，掃描看到的是安靜訊號不多的狀態。 -大師的直覺就是長年大量的髓鞘化堆疊，大腦直接做出了類似本能的反應。 - - -一個肌肉記憶是建構在另一個肌肉記憶之上，因此往往專業領域的練習需要漫長大量的練習堆疊。這個過程會培養耐心與Resilience。要形成髓鞘化的另一個重點是練習都要是有效練習，如果練習沒有明確針對解決某個問題，就不會進步。 - - -#### 其他參考資料： -《為什麼要睡覺？：睡出健康與學習力、夢出創意的新科學》 -《刻意練習：原創者全面解析，比天賦更關鍵的學習法》 -《大師的刻意練習：20世紀傳奇鋼琴家訪談錄，教你比天賦更關鍵的學習心法》 - -## 學習理論 - 知識 - -有機器學習領域的名詞可以更好輔助我們理解什麼是知識，簡單說知識是一種壓縮的理解，推薦影片為[学习观15：人类为什么没进化成过目不忘？](https://www.youtube.com/watch?v=_bL-eOVOQ6Q)。 - -影片中提到單純的記憶並不是知識，而是要內化成一種規則，能對未面對過的情況應對才是知識。 - -可以用一個系統來解釋記憶還是壓縮：過擬合(Overfitting) vs 泛化(Generalization) -![](https://www.mathworks.com/discovery/overfitting/_jcr_content/mainParsys/image.adapt.full.medium.svg/1686825007300.svg) -(圖片來源：https://www.mathworks.com/discovery/overfitting.html) - -從這張圖可以看到最左邊的部分，Overfitting的特色就是對於每一個現象都做了一一對應，Underfitting則是一種過度簡化因果關係，就如同前面提到的生物本能是線性思維。 -學習知識是找到一個可以解釋最多情況，同時又帶有可推論未來。所謂的可轉移能力也是。 - -要達到泛化，首先要避免陷入局部的細節，比如學英文，語言是以塊狀、句子為單位存在，因此背單字是一種overfitting。 -或者學一個學科，做相近的題目只會形成Overfitting，需要做不同類型的題目，才能有Generalization的內化。 - -也因為需要接觸不同的內容來達到Generalization，因此學習課表其實是需要一直輪替的，這也是違反生物線性的直覺； -有一位鋼琴大師說過：「一般人只想進步，而非卓越」。 -大部分的人在學習的時候，學一段新能力之後，往往會習慣繼續練習這個新的能力，會覺得"我要練到熟"再換練下一個，這時候就會落入Overfitting；真正要做的事情是馬上去練另一個相關但不完全相同的內容，如此練數個項目之後才會形成Generalization。 -舉例來說，學吉他的人剛學了爬格子，其實在稍微能爬的時候，就要開始練不同的音階。但多數人習慣是想要先把一種音階練好再練另一個音階，這就會發生兩個問題，第一個是練相同東西會有邊際效應進步變慢，另一個問題是Overfitting。 -或者重量訓練，如果一個教練讓學生每周練不同的東西，學生會覺得每一項都還沒學好，上次學深蹲還沒掌握、動作還不熟，這周硬舉也練不熟，下周再換。這種情況就如同前面提到的，生物本能是線性思維，而教練想做的是讓學生學到Generalization。 - -很多人瓶頸期沒突破往往也是因為沒有攝取其他方面的經驗，比如繪畫中會有人自己人體畫不好，以為是要學人體。但實際上是缺乏透視系統的知識。因此大部分人突破瓶頸的方式就是要多接觸其他方面來達到觸類旁通。 - -#### 參考資料： -* [“影分身之术”！训练50亿次的AI能有多智能](https://www.youtube.com/watch?v=AJ1TR28KNqY) -* [語言學觀點👁為何學英文99%的練習都無效 // Chen Lily](https://youtu.be/jRjBUbxQ0O0) -* 《複利效應：6步驟引爆收入、生活和各項成就倍數成長》 - -## 習慣 -這邊開始是大家比較熟知的書單了，說明習慣的起點是《輕鬆駕馭意志力：史丹佛大學最受歡迎的心理素質課》，人的意志力是有限的，無法靠意志力去長期堅持。 -因此需要培養出在沒經過思考就執行動作的習慣，培養習慣的書單就會推薦《原子習慣：細微改變帶來巨大成就的實證法則》，原子習慣書中其中一個重點是培養新的習慣最好的方式是在原有的習慣上堆疊一個很小的新習慣，逐漸增加；甚至要創造讓自己容易進入心流的狀態。 - -培養習慣是整體最重要的環節，在理解整個成功學之後，需要花時間理解自身的特質，實驗怎麼樣的規劃讓自己容易執行。 -所謂的長期計畫並不是達成一個遠大的目標，而是形成一個+EV的習慣，只要+EV時間夠久，就會累積不凡的成就。 - - -## 其他參考資料： -* 學習理論 - * [別再用錯方法讀書了！世界各地頂尖學者的學習方法竟然是...!? / 書來面對 EP7《大腦喜歡這樣學》A Mind for Numbers by Barbara Oakley / 說書【大腦科學】](https://www.youtube.com/watch?v=iFSVMuBDMws) - * [新的一年，擺脫啞巴英文 (我也在用的實際3步驟)](https://youtu.be/jWHQZN3RybI) - * 用語言學來理解學語言 - * [練聽力該「加速」或「減速」嗎？久違的語言學觀點影片😚 // Chen Lily](https://youtu.be/9mkwwnUgCzQ) - * [學語言不是靠模仿？你學語言的觀念正確嗎？ // Chen Lily](https://youtu.be/vor6a_1hlJM) - * [如何停止翻譯？用英文思考的真相 🧠 語言學觀點分析 // Chen Lily](https://youtu.be/WxYnyqgO77M) - * [如何同時學多種語言🤔 How to learn multiple languages at the same time](https://youtu.be/7AY6N-ALUNw) - * [新的一年，擺脫啞巴英文 (我也在用的實際3步驟)](https://youtu.be/jWHQZN3RybI) diff --git a/_posts/2024-01-24-anti-aging.md b/_posts/2024-01-24-anti-aging.md deleted file mode 100644 index 6536d37..0000000 --- a/_posts/2024-01-24-anti-aging.md +++ /dev/null @@ -1,56 +0,0 @@ ---- -layout: article -title: "抗老化" -date: 2024-01-24 10:00:00 +0800 -tags: [Epigenetics, Evolution] ---- - -# 抗老化(Anti-aging) -本文大部分的內容基礎來自於David Sinclair，他是目前抗老化研究先驅，最新的著作是《可不可以不變老？：喚醒長壽基因的科學革命》，本書的[專訪影片](https://youtu.be/shY1HwFjkbw)。 - -## 表徵遺傳學（Epigenetics） -在進入正式內容之前，需要先補充一個先備知識，表徵遺傳學（Epigenetics）。 -過往我們聽到疾病成因主要是DNA和遺傳，大部分的人聽到這個描述都會覺得廢話，DNA不就是遺傳嗎。 -因為遺傳是一門很新的學科，直到近代人類才有比較完整的理解，遺傳指的是表徵遺傳學；很推薦TED的演講[同性戀重點不在於性，在於生存｜詹姆士歐基斐醫師](https://www.youtube.com/watch?v=k5qtoYQxy7c)，裡面舉例了螞蟻，工蟻和兵蟻DNA完全相同，卻長出完全不同的外觀和功能，主要機制就是表徵遺傳學；蟻后會對不同的蟻卵中的DNA做處不同的標記，這樣就會形成不同的結果。 - -另一個很好理解的舉例是DNA就像一本書，表徵遺傳就像是劃記重點，劃記的重點不同，對書的解釋就會不同。 -比如二戰後的嬰兒潮普遍容易肥胖，因為戰後父母經歷的環境是資源匱乏，將下一代的遺傳標記了要盡量囤積食物到體內的訊息。 - -#### 其他參考資料： -[智力高低、性傾向、精神疾病，都是基因決定好的？/ 書來面對 EP10 《基因：人類最親密的歷史》Siddhartha Mukherjee / 說書【科普、遺傳學】](https://www.youtube.com/watch?v=x5aynJYhAXs) - - -## 老化的機制 -David提到老化的機制在於表徵遺傳的遺失。我們的細胞會有增長跟消滅，但如果細胞活著太久，表徵遺傳就會掉了，就像網路封包在傳遞過程可能會掉包，或者就好比我們抱著一桶水走路，時間越久撒出去的會越多。 - -身體會將活太久的細胞消滅，重新製造新的細胞，製造新的細胞來自於另一個細胞，類似製作一本書的同時，也要看另一本書劃了什麼標記。如果附近的細胞都是缺失表徵遺傳，那麼生產的新細胞也是缺失訊息的細胞。 -如此往復下去，就會遺失越來越多重要訊息，人就會開始衰老，出現各種問題。 - -科技進步的現代生活，我們優渥的生活不容易挨餓，細胞就沒有消滅再製作的需求，因此老細胞一直苟延殘喘。 - -David提到一個蠻有趣的點，為什麼人類壽命會在這邊，最主要的原理是生物壽命在繁殖後就沒必要繼續生存，而且繁殖後保留壽命反而會搶奪下一代的資源。反觀鯨類長壽因為牠們繁殖頻率低。 - -## 逆轉老化 -抗老化就是要在還有很多健康、訊息完整細胞還在的時候，就將活稍微久一點的細胞消滅，馬上製作新的細胞。 -就是一種訊息重置，想要啟動重置，就需讓人體感受到生存威脅，人體會開始搜尋可回收的細胞，分解來來製作應對威脅的新細胞。 -斷食是一個方式，斷食夠長就會觸發細胞自噬，加速分解合成。 - -以上只是一個比喻，人體的細胞其實隨時都在分解和合成，有時候是分解多於合成，有時候是合成多於分解。 -所以實際上運作是透過斷食讓分解多於合成；反之沒有生存壓力，又飲食過剩，就會合成多於分解，就會有很多活太久的細胞。 - -David還有提到另一個方式是曝冷，人體演化到目前為止，是能應對天氣變化的；反之現代科技讓冬天人體保暖，導致沒有消耗能量的不正常狀態。洗冷水澡就是一個不錯的方式去啟動曝冷。 - -另一個方法是運動，比如重量訓練。 -《抗老化，你需要大重量訓練》中提到骨骼、肌肉和神經系統，會對壓力起反應，但是這個壓力反應需要超過一個閾值，訓練強度閾值大概是70%1RM重量附近，大概是8RM~12RM或更重的範圍。 -訓練容積和訓練強度都超過一個閾值之後，身體會接受到需要成長去面對更強壓力的訊號，就會形成細胞的替換，促進更多的分解合成。 - -#### 其他參考資料 -* [EP70 何老師N=1的飲食實驗](https://www.youtube.com/watch?v=p9KcpG5al-Q) -* [EP71 何老師N=1的飲食實驗 PART II](https://www.youtube.com/watch?v=mZlNUvOsfZE) -* [EP72 何老師N=1的飲食實驗 PART III](https://www.youtube.com/watch?v=_8H3h88uTfY) - -## 反駁的理論 -以上的理論並非所有科學界都認同，也很推薦觀看[白天手術房晚上健身房](https://www.youtube.com/playlist?list=PL0rmRGdGRzOO6RMwDqxoOh-HdKBMhI8p4)，陳醫師會講解新的paper來呈現目前最新的研究結果和理論。 - -比如陳醫師就有提到支持少量多餐的paper，還有比如澱粉熱量佔比50%是比較合理的範圍之類等期刊研究。 -每個人對於不同的生活型態反應都不同，並不是任何人都適應各種方法。 \ No newline at end of file diff --git a/_shared b/_shared index b46f0e7..cd52a2a 160000 --- a/_shared +++ b/_shared @@ -1 +1 @@ -Subproject commit b46f0e70836f091feb1cea654db7d770c2b5ec6b +Subproject commit cd52a2a5651942f7f80b672e6c9ad6cea2740e9c