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了解複雜情況中的系統原型

在我們日益相互聯繫的世界中,理解複雜系統的動態變化至關重要。系統原型是源於系統思維的概念,它們是常見於各種組織和社會系統中的行為模式。這些原型幫助我們理解和預測行動、反應、副作用和反饋循環產生的複雜情況的結果。讓我們探索一些這些原型,以更好地理解他們在現實世界情境中如何運作。

1. 帶延遲的平衡過程

想像一個設定為使房間溫度保持在25度的恆溫器。理想情況下,如果溫度升高到26度,空調就會增加冷卻力度,如果降低到24度,就會減少冷卻力度。然而,如果系統反應緩慢,溫度可能在糾正前變得令人不舒服地高或低,這說明了系統在延遲反應中的挑戰。

2. 失敗的修復

一種常見的情況是,解決問題的方法引入了新的問題。例如,為了防止事故的發生而增加檢查清單和審查,可能會導致行政繁瑣,減少實際的工作時間,降低士氣,並最終導致相同或新的事故的重複發生。

3. 意外的對手

這種原型發生在合作夥伴或供應商最初為了互利而合作,但由於信任和合作的減少,常常是由於誤解或錯誤引起的,他們逐漸變成了對手。這種以牙還牙的惡化將贏贏的局面變成了輸輸的局面。

4. 增長的極限/增長與投資不足

一家公司可能由於高質量的產品和有效的市場營銷而經歷增長。但是,如果公司未能充分地投入資源,例如聘用有經驗的團隊領導或讓新員工與公司文化相一致,則增長可能會停滯,產品質量和增長可能會下降。

5. 吸引力原則

這種原型與"增長的極限"相似,它處理的是在資源有限的情況下試圖在所有方面(價格,速度,質量)都表現出色的挑戰。一家企業可能最初成功,但很快就在一個或多個領域達到了極限,從而需要在某些領域優先於其他領域。

6. 成功者越成功

在這種情境下,公司內成功的單位會獲得更多的資源,進而增加其成功的機會。相反,不太成功的單位獲得的資源較少,導致其缺乏成功的狀況持續。這個循環可能在組織內造成顯著的不平衡。

7. 公地悲劇

這種原型強調過度使用一種共享的有限資源,導致其枯竭。例如,環境資源如空氣和水,或數碼公共資源如網路頻寬或社交媒體平台。

8. 目標漂移

組織經常在壓力之下降低較少監控的目標,例如為了達到預算和進度目標而妥協質量。這種短期解決方案可能會帶來長期後果,例如由於質量下降而導致客戶滿意度降低。

9. 升級

在這裡,一方實施的解決方案導致其他方採取對策,類似於軍備競賽。例如,一家公司提供的折扣可能導致競爭對手做同樣的事,最終削弱每個參與者的利潤。

10. 轉移負擔

這種原型涉及為了滿足期限而應用快速解決方案,從而產生"技術債務"。這些解決方案可能滿足當前的需求,但使未來的維護更具挑戰性和成本。

結論

識別組織和社會系統中的這些系統原型可以提供寶貴的見解。通過理解這些模式,我們可以預見潛在的問題,並為處理複雜、動態的情況制定更有效的策略。這不僅是關於尋找即刻的解決方案,而是要理解更廣泛的系統動態,以創造可持續的、長期的成功。

Understanding AWS Security Hub - Your Centralized Cloud Security Posture Management Solution

In the dynamic landscape of cloud computing, securing your assets is a top priority. Amazon Web Services (AWS) offers a comprehensive tool for this – the AWS Security Hub. It's designed to be a centralized solution for managing and improving your cloud security posture. Let's dive into what AWS Security Hub offers and how it works alongside AWS Config to keep your resources secure.

AWS Security Hub: A Single Pane of Glass for Your Cloud Security

The AWS Security Hub stands out as a Cloud Security Posture Management (CSPM) tool. It provides a unified view of your security state within AWS and helps in identifying and managing security risks. Here are its key offerings:

Finding Aggregation from Multiple Security Tools

The Security Hub aggregates findings from various AWS services and AWS Partner Network (APN) security solutions. This integration allows for a comprehensive view of your security alerts and findings, ensuring that no threat goes unnoticed.

Benchmarking Against Industry Standards

One of the critical features of AWS Security Hub is its ability to benchmark your configurations and activities against renowned industry standards such as CIS (Center for Internet Security), PCI (Payment Card Industry), and NIST (National Institute of Standards and Technology). This benchmarking helps in maintaining compliance and adhering to best practices in cloud security.

Prerequisite: AWS Config

To leverage AWS Security Hub, AWS Config needs to be enabled. AWS Config plays a pivotal role in continually assessing the configurations of your AWS resources. It provides two key functionalities:

Continuous Assessment and Audit

AWS Config continuously monitors and records your AWS resource configurations, enabling you to audit changes and evaluate your overall compliance against the configurations defined in your internal guidelines.

Automatic Remediation of Non-Compliance

In instances of non-compliance, AWS Config can trigger remediation actions, thereby minimizing the window of exposure caused by misconfigured resources. However, it's essential to note that while AWS Config is a powerful tool, it can be costly, depending on the scale and complexity of your AWS environment.

Core Concepts of AWS Security Hub

To fully grasp the capabilities of AWS Security Hub, understanding its core concepts is crucial:

Control

Controls are safeguards or countermeasures that ensure the confidentiality, integrity, and availability of your systems. They are essential in mitigating risks and preventing security breaches.

Rules

Rules are criteria set to assess whether a control is being adhered to. They can be managed (provided by AWS) or custom (created by users), offering flexibility in defining your security policies.

Finding

A finding is an instance where a rule identifies a potential security issue or failure against a resource. It's the trigger that alerts you to potential vulnerabilities.

Standard

Standards are collections of rules that map to an industry-standard guideline (CIS, PCI, NIST). Adhering to these standards ensures compliance with widely recognized security practices.

Severity

Severity is a scale that measures the 'badness' of a rule. It ranges from critical, high, medium, low, to informational, helping prioritize the response needed.

Workflow Status

This indicates the status of investigation of a finding. The statuses (new, suppressed, resolved) help in tracking the progress of addressing security issues.

Conclusion

In summary, AWS Security Hub, in conjunction with AWS Config, provides a robust framework for managing cloud security. It offers a comprehensive view of your security posture, facilitates compliance with industry standards, and provides tools for automatic remediation of issues. While AWS Config comes with a cost implication, the investment in security and compliance can be invaluable for organizations leveraging cloud technologies. Embracing these tools can lead to a more secure, efficient, and compliant cloud environment.

Understanding AWS Security Hub - Your Centralized Cloud Security Posture Management Solution

Welcome back to Continuous Improvement, where we tackle the latest in technology to help you navigate the complexities of today's digital landscape. I’m your host, Victor Leung, and in today’s episode, we’re diving into a critical tool for anyone using Amazon Web Services—AWS Security Hub. This powerful service provides a centralized way to manage your cloud security and ensure your resources are well-protected.

Let's start with what AWS Security Hub actually is. Think of it as your single pane of glass for cloud security within AWS. It aggregates security findings from various AWS services and partner solutions, offering a unified view of your security state and helping you spot and manage risks effectively.

Now, why is this important? In our ever-evolving cloud environments, keeping track of every potential security issue across different services and tools can be daunting. AWS Security Hub simplifies this by bringing all security-related information into one place. This not only saves time but ensures no threat slips through the cracks.

One of the standout features of Security Hub is its ability to benchmark your setups against industry standards like CIS, PCI, and NIST. This is crucial for maintaining compliance and adhering to best practices in cloud security. It’s like having a built-in audit system that continuously checks your configurations against these respected frameworks.

But to harness the full power of AWS Security Hub, you'll need to have AWS Config enabled. AWS Config is the backbone that supports continuous monitoring and management of your AWS resources. It records configurations and changes, helping you audit and evaluate compliance against your own internal guidelines.

What happens if AWS Config spots something amiss? It doesn’t just alert you; it can actually trigger remediation actions automatically. This is a game changer, minimizing the time your resources are not in compliance and potentially exposed to risks. However, it’s important to remember that depending on the scale of your AWS environment, AWS Config can lead to additional costs.

Let's delve a bit deeper into how Security Hub works. It's built around several core concepts: Controls, Rules, Findings, Standards, Severity, and Workflow Status. Controls are the safeguards that protect your systems. Rules are the criteria that check these controls. If a rule finds an issue, that's a Finding—a potential security threat to your setup.

Standards group these rules into a comprehensive security framework, helping you align with global guidelines. Severity levels help prioritize issues, ensuring you tackle the most critical problems first. Lastly, Workflow Status lets you track the progress in addressing these findings, from detection to resolution.

In conclusion, AWS Security Hub and AWS Config together provide a robust framework for managing your cloud security. While there is a cost associated with AWS Config, the investment in securing your cloud environment and ensuring compliance with industry standards is invaluable.

Thank you for joining me today on Continuous Improvement. Whether you're just starting out with AWS or looking to tighten your cloud security, understanding and implementing these tools can make a significant difference. I’m Victor Leung, and I’ll be back soon with more insights to help you improve your tech game. Until then, stay secure and keep improving.

理解AWS安全中心 - 您的集中雲端安全態度管理解決方案

在動態變化的雲端運算景象中,保護您的資產是頭等大事。亞馬遜網路服務(AWS)提供了一個全面的工具 - AWS安全中心。它旨在成為一個集中解決方案,用於管理並改善您的雲端安全態度。讓我們深入了解AWS安全中心提供的內容及其如何與AWS配置一起工作,以保護您的資源的安全。

AWS安全中心:您的雲端安全的單一視窗

AWS安全中心是一個突出的雲端安全態度管理(CSPM)工具。它提供了您在AWS中的安全狀態的統一視圖,並有助於識別和管理安全風險。以下是它的主要功能:

從多種安全工具中聚合查找

安全中心從各種AWS服務和AWS合作夥伴網絡(APN)的安全解決方案中聚合了發現。這種整合允許全面查看您的安全警報和發現,確保沒有任何威脅被忽略。

根據行業標準進行基準測試

AWS安全中心的一個關鍵特徵是其能夠對您的配置和活動進行基準測試,以及著名的行業標準,如CIS(Internet Security中心),PCI(支付卡行業)和NIST(國家標準技術研習所)。這種基準測試有助於維護合規性並遵守雲端安全的最佳實踐。

先決條件:AWS配置

要利用AWS安全中心,需要啟用AWS配置。 AWS配置在不斷評估您的AWS資源配置方面起著關鍵作用。它提供了兩個關鍵功能:

連續評估和審計

AWS配置持續監控和記錄您的AWS資源配置,使您可以審計變化並根據您的內部指導方針中定義的配置評估您的整體合規性。

非合規的自動補救

在不符合規定的情況下,AWS配置可以觸發補救措施,從而最小化由於配置不當的資源引起的暴露窗口。然而,需要注意的是,儘管AWS配置是一個強大的工具,但它的成本可能會因您的AWS環境的規模和複雜性而有所不同。

AWS安全中心的核心概念

要充分了解AWS安全中心的功能,理解其核心概念至關重要:

控制

控制是確保您系統的保密性,完整性和可用性的防護措施或對策。他們在減輕風險和防止安全漏洞方面至關重要。

規則

規則是設定來評估是否遵守控制的標準。他們可以是由AWS提供的管理的,或者是由用戶創建的自定義的,提供在定義您的安全政策時的靈活性。

發現

發現是規則識別出一個資源彰顯出潛在安全問題或失敗的實例。這是警告您可能存在漏洞的觸發器。

標準

標準是一系列與行業標準指導方針(CIS,PCI,NIST)相對應的規則的集合。遵守這些標準可以確保符合公認的安全實踐。

嚴重性

嚴重性是一個衡量規則“壞”的程度的尺度。它的範圍從嚴重,高,中,低到資訊性,有助於確定需要的反應優先級。

工作流程狀態

這表示對發現進行調查的狀態。這些狀態(新的,被壓制的,已解決的)有助於跟蹤解決安全問題的進度。

結論

總的來說,AWS安全中心與AWS配置結合,提供了一個管理雲端安全的堅實框架。它提供了您的安全態度的全面視圖,有助於符合行業標準並提供自動存在問題的補救工具。雖然AWS配置帶有成本含義,但是在安全和合規性方面的投資對於使用雲技術的組織可能無比寶貴。擁抱這些工具可以導致更安全,高效,合規的雲環境。

PCI DSS (Payment Card Industry Data Security Standard) version 4.0, introduced as the latest update to the security standards for card payments, marks a significant leap forward in securing payment data worldwide. This blog post delves into the key changes and enhancements brought about by PCI DSS version 4.0, and what they mean for businesses and consumers.

Understanding PCI DSS Version 4.0

A. Background and Evolution

PCI DSS was established to provide a baseline of technical and operational requirements designed to protect account data. Over time, with evolving threats and industry feedback, the standard has been updated. Version 4.0 is the latest iteration, reflecting both current risks and future technological advancements.

B. Key Changes in Version 4.0
  1. Flexibility for Different Methods: One of the most significant changes is the increased flexibility in how requirements can be met. Organizations now have more options to achieve compliance, allowing for innovative methods tailored to their specific environments.
  2. Enhanced Authentication and Encryption: Enhanced requirements around multi-factor authentication (MFA) and stronger encryption protocols are introduced to bolster security against sophisticated cyber threats.

  3. Expanded Scope for Cloud and Virtual Environments: Version 4.0 acknowledges the growing reliance on cloud solutions and virtual environments, expanding its guidelines to include these platforms more comprehensively.

  4. Customized Approach for Large Organizations: Larger organizations can now benefit from a customized approach, allowing them to integrate PCI DSS requirements into their complex, unique environments more seamlessly.

C. Impact on Businesses and Compliance
  • Adapting to New Requirements: Businesses must understand and adapt to these changes, ensuring their compliance strategies are updated.
  • Cost and Resource Implications: Updating systems and processes to meet the new standards might require significant investment in terms of resources and costs.
  • Continuous Security Process: PCI DSS 4.0 emphasizes a continuous security process rather than a once-a-year compliance exercise, encouraging ongoing vigilance.
D. Benefits for Consumers
  • Enhanced Security: Consumers stand to benefit from higher security standards, potentially reducing the risk of data breaches and fraud.
  • Increased Trust: As businesses comply with these standards, consumer trust in electronic payment systems is likely to increase.

Preparing for PCI DSS 4.0

1. Assessment and Planning

Organizations should start by assessing their current compliance status and identifying gaps against the new requirements.

2. Training and Awareness

Training staff and raising awareness about the new standards is crucial for a smooth transition.

3. Technology Upgrades

Implementing necessary technology upgrades, particularly in authentication and encryption, will be a key step.

4. Regular Monitoring and Updating

Continuous monitoring and regular updates to security measures are essential to stay compliant.

Conclusion

PCI DSS version 4.0 represents a major step forward in protecting payment card data. While it poses challenges in terms of adaptation and implementation, the benefits of enhanced security and consumer confidence are well worth the effort. As the digital payment landscape continues to evolve, staying ahead with the latest standards is not just a compliance requirement but a strategic advantage.

Welcome back to Continuous Improvement, where we navigate the ever-evolving world of technology and how it impacts our professional and personal lives. I’m your host, Victor Leung, and today we’re diving into a topic crucial for anyone involved in handling payment card data—PCI DSS version 4.0. This latest update to the Payment Card Industry Data Security Standard marks a significant leap in securing payment data globally. Whether you’re a business owner, IT professional, or just a savvy consumer, understanding these changes is key.

Let’s start with some background. The PCI DSS was established to protect account data by setting a baseline of technical and operational requirements. As cyber threats evolve and new technologies emerge, so too does this standard. Version 4.0 reflects current risks and future advancements, ensuring that the framework remains robust against sophisticated cyber threats.

Now, let’s talk about the key changes in version 4.0. Firstly, there's increased flexibility in how requirements can be met. This is great news for organizations as it allows for more customized compliance strategies that fit specific operational environments. This change recognizes the unique challenges and setups that different businesses face.

Another major update is the enhanced authentication and encryption protocols. With cyber threats becoming more advanced, strengthening these areas is crucial. Multi-factor authentication and stronger encryption are now front and center, aiming to bolster defenses and protect consumer data more effectively.

For those operating in cloud or virtual environments, you’ll be pleased to know that version 4.0 expands its guidelines to cover these platforms more comprehensively. This acknowledges the shift towards cloud solutions and ensures that security measures are up to date with technological trends.

Larger organizations will benefit from the ability to take a customized approach to compliance. This means that the complex and unique environments of big enterprises can integrate PCI DSS requirements more seamlessly, which is a game-changer for many.

But what does this all mean for businesses? Well, adapting to these new requirements will certainly require some effort. This might mean investing in new technologies or updating existing systems, which can involve significant costs and resources. However, the shift towards viewing security as a continuous process, rather than a once-a-year checkup, is a critical update that encourages ongoing vigilance.

And let’s not forget the consumers. Higher security standards mean reduced risks of data breaches and fraud, which in turn can increase consumer trust in electronic payment systems—a win for everyone.

If you’re preparing for PCI DSS 4.0, start by assessing your current compliance status and planning necessary changes. Training your staff and raising awareness about the new standards are also crucial steps. Don’t overlook the importance of regular monitoring and updating your security measures to stay compliant.

That’s it for today’s episode on PCI DSS version 4.0. Embracing these changes isn’t just about compliance; it’s about protecting your business and your customers in an increasingly digital world. Thank you for tuning into Continuous Improvement. I’m Victor Leung, and I look forward to exploring more tech insights with you next time. Until then, stay secure and stay informed.

導航PCI DSS 4.0版本的新景觀

PCI DSS(支付卡行業數據安全標準)版本4.0,作為對卡支付安全標準的最新更新,標誌著全球支付數據安全的重大進展。此博客文章深入探討了PCI DSS 4.0版本帶來的主要變革和強化,以及它們對企業和消費者意味著什麼。

理解PCI DSS版本4.0

A. 背景與演變

PCI DSS的設立旨在提供一套保護帳戶數據的技術和運營要求基線。隨著威脅的演變和行業反饋,該標準已得到更新。版本4.0是最新的迭代,反映了當前的風險和未來的技術進步。

B. 版本4.0的主要變更
  1. 對不同方法的靈活性:最重要的變化之一是滿足要求的靈活性增加。組織現在有更多選擇來實現合規,允許他們為特定環境精心設計創新方法。
  2. 增強的身份驗證和加密:增強有關多因素身份驗證(MFA)和更強加密協議的要求,以增強對複雜網絡威脅的安全。

  3. 對雲端和虛擬環境的擴大範疇:版本4.0承認了對雲解決方案和虛擬環境的日益依賴,並將其指導方針擴展為更全面地包括這些平台。

  4. 大型組織的定制方法:大型組織現在可以從定制方法中受益,允許他們更流暢地將PCI DSS要求融入他們複雜,獨特的環境中。

C. 對企業和合規性的影響
  • 適應新要求:企業必須理解並適應這些變化,確保他們的合規策略已更新。
  • 成本和資源的影響:更新系統和流程以滿足新標準可能需要大量的資源和成本投資。
  • 連續的安全過程:PCI DSS 4.0強調了連續的安全過程,而不是一年一度的合規練習,鼓勵持續的警覺。
D. 消費者的好處
  • 增強的安全性:消費者將受益於較高的安全標準,進一步降低數據洩漏和詐騙的風險。
  • 提高的信任:隨著企業遵守這些標準,消費者對電子支付系統的信任可能會增加。

為PCI DSS 4.0做準備

1. 評估和規劃

組織應首先評估其當前的合規狀態,並識別出與新要求的差距。

2. 培訓和意識

為員工進行新標準的培訓和提高意識對於平滑過渡至關重要。

3. 技術升級

實施必要的技術升級,特別是在身份驗證和加密方面,將是一個關鍵的步驟。

4. 定期監控和更新

定期監控和更新安全措施至關重要,以保持合規。

結論

PCI DSS版本4.0代表了保護支付卡數據方面的重大進步。雖然在適應和實施方面存在挑戰,但增強的安全和消費者信心的好處卻讓這一切都值得。隨著數字支付的景象持續演變,保持與最新標準的領先不僅是一種合規要求,也是一種策略優勢。

My journey to discover the Youtube algorithm

Last year during the Christmas holiday, I was bored at home and did some research about content creation. I am curious of unlocking the secret algorithm on YouTube to driving views, building an audience, and growing revenue streams. The journey was tough, filled with trials and errors, but it was also a path of discovery and learning.

I began by creating videos, pouring my time and effort into each one. You can view it by clicking this link: Top 14 Must-Visit Restaurants in Hong Kong | Foodie's Guide. However, the initial views were close to zero, and the audience growth was stagnant. That's when I realized that, it was crucial to invest less time in unproductive strategies and stop wasting time on video editing. This epiphany led to the first major shift: focusing on what the audience wanted, not just on personal interests.

Taking inspiration from YouTube's own origin story, I understood that success often follows a series of failures and adjustments. YouTube itself had started as a different concept and pivoted based on user feedback and market needs. This meta-example was a beacon of hope and strategy for me.

To truly harness the power of the platform, I became a student of data. This meant changing my entire approach to content creation. Every video was now a data point, providing valuable insights into viewer preferences and behavior. I made data-driven decisions but always optimized for human engagement. After all, humans respond to storytelling, not just facts and figures.

I began crafting videos that resonated with viewers' emotions and interests. The content was no longer for self-expression but for the audience who eagerly awaited each upload. It was a shift from ego-centric to audience-centric content.

One of my video with most view is A.I. generate jazz music with deep learning, using a Long short-term memory (LSTM) Network:

I analyzed viewer behavior, engagement rates, and feedback, adjusting content strategies accordingly. This cycle of trying, failing, analyzing, and adjusting became the backbone of my journey.

Gradually, the efforts paid off. Views soared, and the audience grew. As of today, the view has grown to 3.8K so far:

My channel became a study in discovering of the YouTube's algorithm, understanding and catering to human behavior and preferences.

Through this journey, I learned that success on YouTube isn't just about creativity; it's about understanding and adapting to the ever-evolving landscape of digital media. To unlock the Youtube algorithm, we need to become a master of storytelling (content is king) and a student of data (data is queen). If you like my Youtube channel, hit like, subscribe and share :)

My journey to discover the Youtube algorithm

Welcome back to Continuous Improvement, where we dive deep into personal growth and learning through technology and creativity. I'm your host, Victor Leung, and today, I want to share a very personal story with you—a journey into content creation on YouTube, the trials, the errors, and the eventual insights that led to unexpected success.

Last Christmas, I found myself with some free time and a growing curiosity about YouTube's elusive algorithm—how does one drive views, build an audience, and create meaningful content that also happens to earn revenue? My adventure in this digital landscape was nothing short of a roller coaster.

It all started with me creating videos, pouring my heart and soul into each frame, each line of dialogue. But despite the effort, the response was... well, disheartening. Views were scarce, and audience growth was virtually nonexistent. It was a classic creator's dilemma, but it sparked a crucial realization: I needed to pivot.

Taking a leaf out of YouTube’s own book—yes, the platform itself had pivoted from its original concept based on user feedback—I began to reshape my strategy. Instead of crafting videos solely based on my interests, I started focusing on what the audience seemed to want, using every video as a data point to gather insights into viewer preferences and behaviors.

This data-driven approach was eye-opening. It wasn't just about analytics; it was about understanding human engagement. People are drawn to stories, to emotions, to connections. I began to craft content that resonated, that spoke to the viewer on the other side of the screen. My channel shifted from being ego-centric to audience-centric.

One of the pivotal moments came with a video titled "AI-generated Jazz Music with Deep Learning." Utilizing a Long Short-Term Memory (LSTM) Network, this video not only showcased fascinating technology but also struck a chord with the audience’s love for innovative, accessible content. The feedback was phenomenal, and it taught me the power of aligning tech with human interest.

From then on, it was all about refining the process—analyzing, adjusting, and continually evolving. This cycle became the backbone of my growth on YouTube. And today, I'm proud to say that the channel has not just survived but thrived, with viewership continuing to grow.

So, what’s the takeaway from all this? If you're diving into YouTube or any platform, really, remember: content is king, but understanding your audience is queen. Become a master of storytelling, sure, but also a diligent student of data. Your efforts to blend creativity with analytics are what will set you apart in the crowded digital arena.

Thank you for joining me on this personal journey today on Continuous Improvement. If you’ve enjoyed the episode, don’t forget to like, subscribe, and share. Your support means the world. I’m Victor Leung, and I’ll be back soon with more stories, tips, and tactics to help you navigate your path to success. Until next time, keep learning, keep creating, and keep engaging!

我的旅程去發現Youtube的演算法

去年聖誕節假期期間,我在家中無聊,於是做了一些有關創作內容的研究。我對於揭開 YouTube 上如何驅動觀看數、建立觀眾群和增加收益流的秘密演算法很好奇。這個旅程充滿了試驗和錯誤,非常辛苦,但也是發現和學習的道路。

我開始通過創作影片,並將時間和努力投入到每一部影片中。你可以點擊這個鏈接看到它:必去香港前14家餐廳 | 美食家指南。然而,起初的觀看數量接近零,觀眾的增長也停滯不前。那時我意識到,減少在無產出的策略上投入時間,並停止浪費時間在影片編輯上是關鍵。這個頓悟導致了第一次重大改變:我開始關注觀眾想要的,而不只是關注個人的興趣。

我從 YouTube 自身的創始故事中得到靈感,我理解到成功通常伴隨著一系列的失敗和調整。YouTube 本身由於用戶反饋和市場需求,原來的概念經過改變。這個範例對我來說是一個希望和策略的指南。

為了真正掌握平台的力量,我變成了一個數據的學生。這意味著我對內容創作的整個方法進行改變。每一部影片現在都是一個數據點,提供了有關觀眾偏好和行為的寶貴見解。我進行基於數據的決策,但總是優化人類的參與。畢竟,人們回應的是故事,而不僅僅是事實和數字。

我開始創作與觀眾的情感和興趣相呼應的影片。內容不再僅僅是為了自我表達,而是為了那些熱切等待每次上傳的觀眾。這是從以自我為中心到以觀眾為中心的內容的轉變。

我的一部觀看次數最多的影片是用深度學習,具有長短期記憶(LSTM)網絡來創作爵士樂:

我分析了觀眾的行為、參與率和反饋,並相應地調整內容策略。這個嘗試、失敗、分析、調整的循環成為我旅程的支柱。

慢慢地,我們的努力得到了回報。觀看數飛漲,觀眾人數也增加。到目前為止,觀看次數已成長到3800次:

我的頻道成了研究YouTube演算法的一個實驗場所,理解並滿足人的行為和偏好。

通過這個旅程,我了解到在YouTube上的成功不僅僅關於創造力,更是要理解並適應不斷變化的數位媒體景觀。是否能夠解鎖Youtube演算法,我們需要成為故事講的大師(內容為王)和數據的學生(數據為后)。如果你喜歡我的Youtube頻道,請點擊喜歡,訂閱並分享 :)