In the formula of information creation (Energy × Computation = Solid Information), energy is the most crucial component. When we feel low on energy, we should first focus on finding ways to improve our energy levels, rather than attempting tasks with depleted energy, which will only produce poor results.

Based on "Why Information Grows," we can express the fundamental relationship as:

Energy × Computation = Solid Information

There are three types of computational systems:

1. Humans,
2. Computers,
3. Transformers(AI models).

Each system can form networks that amplify their individual capabilities:

1. Human networks: teams, armies, companies, industries, and societies
2. Computer networks: the Internet, blockchain systems
3. Transformer networks: emerging AI infrastructures

Computer networks compose human networks and have significantly enhanced human networking capabilities.

I believe we will witness the emergence of transformer networks(AI models + internet + human network), creating a new form of intelligence capable of generating information with unprecedented efficiency. This network maybe we can call it: "SKYNET".

Listen "Daniel Pink on Regrets, Timing, and Success"

This is a episode from "In Good Company". Nicolai Tangen interview Daniel Pink.

Understanding Regrets

1. The importance of discussing regrets

   • People need opportunities to discuss regrets despite reluctance
   • Discussing regrets leads to personal growth
   • The "no regrets" mindset is a uniquely American phenomenon

2. Four Types of Regrets

   • Foundation: Small early decisions that accumulate (e.g., poor financial choices)
   • Boldness: Not taking chances or risks
   • Moral: Making ethically wrong choices
   • Connection: Letting relationships drift apart

3. Benefits of Sharing Regrets

   • Writing/talking about regrets makes them less intimidating
   • Showing vulnerability increases others' respect
   • Sharing mistakes demonstrates courage and candor

4. Counterfactual Thinking

   • Upward ("if only"): Imagining better outcomes
   • Downward ("at least"): Considering worse possibilities

Motivation ("Drive")

1. Mastery

   • Desire for continuous improvement
   • Progress is the key daily motivator
   • Success drives further achievement

2. Autonomy

   • Four key dimensions: Task, Time, Technique, Team
   • Micromanagement undermines self-direction
   • Control leads to compliance or defiance

3. Purpose

   • Learning goals superior to performance goals
   • Energy management over time management

Timing and Productivity

1. Daily Performance Patterns

   • Time of day affects 20% of performance variance
   • Morning: Best for analytical work
   • Midday: Suitable for administrative tasks
   • Evening: Optimal for creative work
   • Night owls: Higher creativity but increased addiction risk

2. Effective Breaks

   • Consider breaks as part of work
   • Brief breaks better than none
   • Social breaks more restorative
   • Physical movement preferred
   • Complete detachment important
   • Optimal break: 15-20 minute afternoon walk with company

3. Napping Strategy

   • Short naps beneficial
   • "Coffee nap" (25 minutes) optimal

Career Development

1. Career Growth

   • Job changes can increase salary
   • Align with boss's interests

2. Career Advice

   • Learn from successful people's complex journeys
   • Make decisions based on fundamental rather than instrumental reasons
   • Evaluate roles by: enjoyment, contribution, skill utilization, and team quality

Have a good sleep

1. 营养：睡眠问题可以补充镁试试，入睡困难睡前2小时吃，早醒就临睡前吃。
2. 环境：
   1. 睡前热水澡能帮助入睡，早上冷水澡帮助唤醒身体。
   2. 远离手机，把手机放在客厅。

Have a truly free life:

• Earn enough to cover living costs and achieve significant financial growth.
• Take care of people I care about and maintain healthy relationships with them.
• Challenge my physical limitations, control my desires, overcome my weaknesses, and improve my energy and health.
• Build an information system to effectively process, create, and distribute information

Read "Why Information Grows"

Fundamental Principles

1. Information emerges from energy-driven, non-equilibrium systems

   • Information requires energy to be created
   • Information is fragile and tends to decay without proper storage
     

2. Three Essential Components for Information Growth

   • Energy: Powers the emergence of new information
   • Computing Ability: Processes and transforms information
   • Storage Medium: Preserves information over time

3. Natural Information Systems

   • Biological cells constantly process information
   • DNA serves as nature's information storage system
   • Information flow pattern: Energy → Computation → Storage

Human Information Systems

1. Humans are unique in their ability to crystallize imagination into reality

2. Information Creation Scales:

   • Individual Level: Small energy input → Personal ideas → Simple information
   • Societal Level: Large energy input → Network computation → Complex information
     

3. Network Effects:

   • Information growth drives economic growth
   • Economic growth strengthens social networks
   • Diverse social networks generate more information
   • This creates a positive feedback loop

Framework for Evaluating Organizations and Societies

1. Energy Capacity

   • How effectively can they harness and utilize energy?
   • What is their energy infrastructure?

2. Computation Capability

   • Raw computing power (both human and machine)
   • Network efficiency: How well do components communicate?
   • Information processing speed and quality

3. Storage Infrastructure

   • What mechanisms exist to preserve information?
   • How effectively can they crystallize ideas into tangible forms?
   • Quality and durability of information storage systems

阿里看似亡于大环境，外部竞争，内部大公司病。实际亡于分家，分家导致的创新网络，人才流动网络瓦解，使生长在这一网络的创新能力，信息丰富度衰减。阿里云的成立基础是建立在蚂蚁，淘天深厚的底层网络积累上，大量的人才无缝拔插到阿里云，如果放在分家后，即使有阿里云的idea，以及高层加倍的投入决心，失去这一底层网络的支持，也只会是另外一个滴滴云，或者字节云，事倍功半。

所谓智慧不过是在不均衡系统里能量不断输入产生的自发性信息创造造成熵减的过程，作为系统的一份子要时刻感恩能量的输入，不要过分高估自己的努力，更多的时候应该去寻找能量密集的地方，持续挣钱的公司，不缺爱的人，富足的社会环境。千万别去快发不出工资举债度日的公司，千万别找从小缺爱的人，千万别去发展程度比较低的地方，你没那么大能耐，别想着多打几份工，多努力学习就能改变什么，就算是努力学习，也是为了去寻找，安家在能量更高的地方。

I need to create information!!!

从信息的角度，不均衡系统熵减，信息不断被创造，而计算机是这个过程的主要执行者，树是一个计算机，人也是一个计算机，社会也是一个计算机，有史以来最强大的计算机是人，人不断以指数级创造了这个社会的信息，现在的AI还是辅助人，增强人作为人去创造信息的工具。但是我们得承认，在不断能量输入的系统里，人肯定不是那个最强的计算机，现在的AI也不是，未来的AI可能是，也可能不是，一定会有一个更强大的计算机，更强的的去消化能量，创造信息，创造秩序。