AGI: Angel or Demon? Prepare for the AGI Era Arriving Within 30 Years and a Future Where Labor Income Is Displaced!
AGI: Angel or Demon? Prepare for the AGI Era Arriving Within 30 Years and a Future Where Labor Income Is Displaced!
π Summary
Artificial General Intelligence (AGI) is highly likely to become a reality within 20 to 30 years. While it could offer angelic opportunities for humanity, such as solving climate change, it also poses a demonic threat that could strip away the value of human labor and shake the very foundations of democracy.
π Why It Matters! (Meaning and Context)
Current AI excels in specific domains, but AGI (Artificial General Intelligence), as its name suggests, refers to AI that surpasses human capabilities across all domains. Once dismissed as science fiction, the emergence of ChatGPT has intensified discussions that the AGI era could arrive within 2 to 5 years, or as long as 20 to 30 years. This is not merely a matter of technological advancement; its significance lies in posing profound questions that could fundamentally transform humanity's economic systems, social structures, and even human identity itself. Prof. Kim Dae-sik's book AGI: Angel or Devil? presents in-depth reflections on the sustainability of the current labor-income-based economic structure and democracy when AGI arrives.
π₯ Key Takeaways
AGI‘s emergence carries duality, bringing both benefits and threats to humanity.
1️⃣ Potential Benefits of AGI (Angelic Aspects)
- Overwhelming Learning Speed: Acquires knowledge by 'plugging in’ learning data far faster than human reading/writing/conversation methods, precisely adjusting weights.
- Perpetual Capability Development: AI can learn continuously without dying, making it highly likely to surpass human capabilities.
- Problem-Solving Potential: AGI can independently research, learn, and solve numerous unsolved human problems like climate issues and nuclear fusion power generation.
2️⃣ Deprivation of Human Labor Value
- Loss of Value-Added Production Opportunities: In the AGI era, humans will be deprived of opportunities to create value-added through labor, leading directly to the disruption of labor income.
- Critical for New Entrants to Society: Younger generations who have not yet entered the workforce face a significant risk of being deprived of the very opportunity to earn labor income, as they lack the experience to prove their superiority over AI.
- Need for Capital Accumulation: Accumulating as much capital/assets as possible before the disruption of labor income becomes reality becomes an individual survival strategy.
3️⃣ New Dependency Relationships and Deepening Social Instability
- Alternatives to Basic Income: Proposals such as distributing basic stock (e.g., OpenAI stock) instead of cash as an alternative to lost labor income are being discussed.
- Risk of Technological Dependency: While some countries (UAE, UK, etc.) are pursuing contracts to receive AGI services free of charge, this carries the risk of becoming dependent on technological hegemony should prices rise in the future.
- Parallel Theory from Roman Times: Just as Roman citizens, whose labor opportunities were taken by slaves (AGI), received basic income yet remained unhappy, ultimately finding happiness in the destruction of others (dopamine) through the Colosseum, similar social pathologies could emerge in the AGI era.
4️⃣ Risk of Collapse in Democracy's Foundations
- Erosion of Suffrage Legitimacy: Democracy was established on the premise that individuals contribute to society through labor. If AGI eliminates the labor value through which people contribute, the legitimacy of “one person, one vote” becomes undermined.
- Potential Emergence of a Technological Feudal Society: If the general public, deprived of labor income, ceases social contribution and becomes dependent on basic income, society could degenerate into a technological feudalsociety controlled by the minority who own AGI.
π In summary
The AGI era is highly likely to become an unavoidable future. It could present humanity with an innovative opportunity to solve global problems like climate change. However, AGI simultaneously risks rendering human labor incomeworthless. The basic income system proposed as an alternative could lead to technological dependency, social instability, and even the collapse of democracy. Individuals must coldly recognize this future trajectory and adjust their strategies to reduce dependence on labor income and focus on accumulating capital. Since the advent of the AGI era is likely beyond human control, whether AGI proves angelic or demonic, individuals must prioritize preparing for the impending technological feudalism society through investment readiness and learning preparedness.
π° Investment Advice
- Accumulate Capital as Quickly as Possible: The deprivation of labor income due to the arrival of the AGI era is an inevitable direction. Therefore, focus on securing as much capital/assets as possible while the value of labor still remains.
- Study and Preparation for Investment: Rather than rushing to make money out of vague FOMO, it's crucial to adopt an attitude of diligently studying and preparing to become someone who can earn money—that is, to meet the conditions for creating wealth.
- Build a Capital Income-Centered Portfolio: In the future, the value of capital will be more important than labor. Therefore, from a long-term perspective, investments in assets that generate capital income, such as blue-chip stocks and index-tracking ETFs, should be increased.
π·️ Keywords
#AGI #ArtificialGeneralIntelligence #AGIEra #LaborIncome #LaborValue #Capital #TechnologicalFeudalism #BasicIncome #FuturePreparation #AssetAccumulation
*Reference: 《Kim Dae-sik's Human vs. Machine》
AGI, μ²μ¬μΈκ° μ λ§μΈκ°?: 30λ μμ μ¬ AGI μλ, λ Έλ μλμ΄ λ°νλλ λ―Έλμ λλΉνλΌ!
π νμ€μμ½
μΈκ³΅ μΌλ° μ§λ₯(AGI)μ λ±μ₯μ΄ 20~30λ λ΄ νμ€νλ κ°λ₯μ±μ΄ λμΌλ©°, μ΄λ μΈλ₯μκ² κΈ°ν λ³ν ν΄κ²°κ³Ό κ°μ μ²μ¬ κ°μ κΈ°νλ₯Ό μ 곡νλ λμμ, μΈκ°μ λ Έλ κ°μΉλ₯Ό λ°ννκ³ λ―Όμ£Όμ£Όμ κ·Όκ°μ νλλ μ λ§ κ°μ μνμ΄ λ μ μλ€.
π μ μ€μνκ°! (μλ―Έμ λ§₯λ½)
νμ¬ AIλ νΉμ λΆμΌμμ μΈκ°λ³΄λ€ λ°μ΄λ μ±λ₯μ 보μ΄λ μμ€μ΄λ, AGI(Artificial General Intelligence)λ 'General'μ΄λΌλ μ΄λ¦μ²λΌ λͺ¨λ λΆμΌμμ μΈκ°μ λ₯λ ₯μ μ΄μνλ μΈκ³΅μ§λ₯μ μλ―Ένλ€. κ³Όκ±°μλ 곡μ κ³ΌνμΌλ‘ μΉλΆλμμΌλ, μ΅κ·Ό ChatGPT λ±μ₯ μ΄ν AGI μλκ° 2λ μμ 5λ , λλ κΈΈκ²λ 20~30λ λ΄μ λλν μ μλ€λ λ Όμκ° νλ°ν΄μ‘λ€. μ΄λ λ¨μν κΈ°μ λ°μ μ λ¬Έμ κ° μλλΌ, μΈλ₯μ κ²½μ μμ€ν κ³Ό μ¬ν ꡬ쑰, κ·Έλ¦¬κ³ μΈκ°μ μ μ²΄μ± μ체λ₯Ό κ·Όλ³Έμ μΌλ‘ λ³νμν¬ μ€λν μ§λ¬Έμ λμ§κΈ°μ κ·Έ μλ―Έκ° ν¬λ€. Prof. κΉλμμ μ μ AGI, μ²μ¬μΈκ° μ λ§μΈκ°λ AGI λλ μ λ Έλ μλ κΈ°λ°μ ν κ²½μ ꡬ쑰μ λ―Όμ£Όμ£Όμμ μ§μ κ°λ₯μ±μ λν μ¬μΈ΅μ μΈ κ³ λ―Όμ μ μνλ€.
π₯ ν΅μ¬ ν¬μΈνΈ (Key takeaways)
AGIμ λ±μ₯μ μΈλ₯μκ² μ΄μ κ³Ό μνμ λμμ μ겨주λ μλ©΄μ±μ μ§λ.
1️⃣ AGIμ μ μ¬μ μ΄μ (μ²μ¬μ λ©΄λͺ¨)
μλμ μΈ νμ΅ μλ: μΈκ°μ μ½κΈ°/μ°κΈ°/λν λ°©μλ³΄λ€ ν¨μ¬ λΉ λ₯΄κ² νμ΅ λ°μ΄ν°λ₯Ό 'νλ¬κ·ΈμΈ'νμ¬ κ°μ€μΉ(Weight)λ₯Ό μ κ΅νκ² μ‘°μ ν¨μΌλ‘μ¨ μ§μμ μ΅λν¨.
μμμ μΈ λ₯λ ₯ κ°λ°: AIλ μ£½μ§ μκ³ μ§μν΄μ νμ΅ν μ μμ΄ μΈκ°λ³΄λ€ λ°μ΄λ λ₯λ ₯μ κ°μΆ κ°λ₯μ±μ΄ λ§€μ° λμ.
λμ ν΄κ²° κ°λ₯μ±: μΈλ₯κ° ν΄κ²°νμ§ λͺ»ν κΈ°ν λ¬Έμ , ν΅μ΅ν© λ°μ λ± μλ§μ λ¬Έμ λ₯Ό AGIκ° μ€μ€λ‘ μ°κ΅¬νκ³ νμ΅νμ¬ ν΄κ²°ν μ μμ.
2️⃣ μΈκ° λ Έλ κ°μΉμ λ°ν
λΆκ°κ°μΉ μμ° κΈ°ν μμ€: AGI μλκ° λλ©΄ μΈκ°μ λ Έλμ ν΅ν΄ λΆκ°κ°μΉλ₯Ό μ°½μΆνλ κΈ°νλ₯Ό λ°νλΉνλ©°, μ΄λ κ³§ λ Έλ μλμ λ¨μ λ‘ μ΄μ΄μ§.
μ¬ν μ΄λ μμκ² μΉλͺ μ : νΉν μ¬νμνμ μμνμ§ λͺ»ν μ μ μΈλλ AIλ³΄λ€ λ μ λ₯ν¨μ μ¦λͺ ν κ²½ν μμ²΄κ° λΆμ‘±νμ¬, λ Έλ μλμ μ»μ κΈ°ν μ체λ₯Ό λ°νλΉν μνμ΄ νΌ.
μλ³Έ μΆμ μ νμμ±: λ Έλ μλμ λ¨μ μ΄ νμ€νλκΈ° μ μ μ΅λν 빨리 λ§μ μλ³Έ/μμ°μ μΆμ νλ κ²μ΄ κ°μΈμ μμ‘΄ μ λ΅μ΄ λ¨.
3️⃣ μλ‘μ΄ μ’ μ κ΄κ³μ μ¬ν λΆμμ μ¬ν
κΈ°λ³Έ μλμ λμ: λ Έλ μλ μμ€μ λν λμμΌλ‘ νκΈ λμ κΈ°λ³Έ μ£Όμ(μ: μ€νAI μ£Όμ)μ μ§κΈνλ λ°©μ λ±μ΄ λ Όμλ¨.
κΈ°μ μ μ’ μ μν: μΌλΆ κ΅κ°(UAE, μκ΅ λ±)κ° AGI μλΉμ€λ₯Ό 무μμΌλ‘ μ 곡λ°λ κ³μ½μ μΆμ§νκ³ μμΌλ, μ΄λ ν₯ν κ°κ²© μΈμ μ κΈ°μ 본건주μμ μ’ μλλ μνμ λ΄ν¬ν¨.
λ‘λ§ μλμ νν μ΄λ‘ : λ Έλ κΈ°νλ₯Ό λ Έμ(AGI)μκ² λΉΌμκΈ΄ λ‘λ§ μλ―Όμ΄ κΈ°λ³Έ μλμ λ°μμΌλ λΆννκ³ , κ²°κ΅ μ½λ‘μΈμμ ν΅ν νμΈμ νκ΄΄(λνλ―Ό)μμ ν볡μ μ°Ύμλ―, AGI μλμλ λΉμ·ν μ¬ν λ³λ¦¬ νμμ΄ λ°μν μ μμ.
4️⃣ λ―Όμ£Όμ£Όμμ κ·Όκ° λΆκ΄΄ μν
μ°Έμ κΆμ μ λΉμ± μ½ν: λ―Όμ£Όμ£Όμλ κ°μΈμ΄ λ Έλμ ν΅ν΄ μ¬νμ κΈ°μ¬νλ λ₯λ ₯κ³Ό κΆλ¦¬λ₯Ό μ μ λ‘ μ±λ¦½λμμΌλ, AGIλ‘ μΈν΄ μ¬νμ κΈ°μ¬ν μ μλ λ Έλ κ°μΉκ° μ¬λΌμ§λ©΄ ν μΈκ°μ΄ ν νλ₯Ό νμ¬ν΄μΌ ν μ λΉμ±μ΄ νλ€λ¦Ό.
κΈ°μ λ΄κ±΄μ£Όμ μ¬ν μΆν κ°λ₯μ±: λ Έλ μλμ μμ μΌλ° λμ€μ΄ μ¬ν κΈ°μ¬λ₯Ό λ©μΆκ³ κΈ°λ³Έ μλμ μμ‘΄νκ² λ κ²½μ°, μ¬νλ AGIλ₯Ό μμ ν μμμ μν΄ ν΅μ λλ κΈ°μ λ΄κ±΄μ£Όμ μ¬νλ‘ λ³μ§λ μ μμ.
π μ 리νλ©΄
AGI μλλ νΌν μ μλ λ―Έλκ° λ κ°λ₯μ±μ΄ λμΌλ©°, μ΄λ μΈλ₯μκ² κΈ°ν λ³νμ κ°μ μ μ§κ΅¬μ λ¬Έμ λ₯Ό ν΄κ²°ν λ₯λ ₯μ μ 곡νλ νμ μ μΈ κΈ°νκ° λ μ μλ€. νμ§λ§ λμμ AGIλ μΈκ°μ λ Έλ μλμ 무κ°μΉνκ² λ§λ€κ³ , μ΄μ λν λμμΌλ‘ μ μλλ κΈ°λ³Έ μλ μ λλ κΈ°μ μ μ’ μκ³Ό μ¬νμ λΆμμ , μ¬μ§μ΄ λ―Όμ£Όμ£Όμμ λΆκ΄΄κΉμ§ μ΄λν μ μλ€. κ°μΈμ μ΄λ¬ν λ―Έλμ νλ¦μ λμ νκ² μΈμνκ³ , λ Έλ μλμ λν μμ‘΄λλ₯Ό μ€μ΄κ³ μλ³Έμ μΆμ νλ λ°©ν₯μΌλ‘ μ λ΅μ μμ ν΄μΌ νλ€. AGI μλμ λλλ μΈκ°μ νλ¨ κΆν λ°μ μμ κ°λ₯μ±μ΄ ν¬λ―λ‘, AGIκ° μ²μ¬λ μ λ§λ κ΄κ³μμ΄, κ°μΈμ λ€κ°μ¬ κΈ°μ λ΄κ±΄μ£Όμ μ¬νμ λλΉνλ ν¬μ μμΈμ νμ΅ μ€λΉλ₯Ό κ°μΆλ κ²μ΄ κ°μ₯ μ€μνλ€κ³ κ°μ‘°νλ€.
π° ν¬μ μ‘°μΈ
μ΅λν λΉ λ₯Έ μλ³Έ μΆμ : AGI μλ λλλ‘ μΈν λ Έλ μλμ λ°νμ νμ€ν λ°©ν₯μ±μ΄λ―λ‘, λ Έλμ κ°μΉκ° λ¨μμλ μκΈ°μ μ΅λν λ§μ μλ³Έ/μμ°μ ν보νλ λ° μ§μ€ν΄μΌ ν¨.
ν¬μλ₯Ό μν 곡λΆμ μ€λΉ: λ§μ°ν FOMOλ‘ μ‘°κΈνκ² λμ λ²λ € ν기보λ€λ, λμ λ² μ μλ μ¬λ, μ¦ λΆλ₯Ό μ°½μΆν μ μλ 쑰건μ λ§μ‘±μν€κΈ° μν΄ μ΄μ¬ν 곡λΆνκ³ μ€λΉνλ μμΈκ° μ€μν¨.
μλ³Έ μλ μ€μ¬μ ν¬νΈν΄λ¦¬μ€ ꡬμΆ: λ―Έλμλ λ Έλ보λ€λ μλ³Έμ κ°μΉκ° μ€μν΄μ§λ―λ‘, μ₯κΈ°μ μΈ κ΄μ μμ μ°λ μ£Όμ, μ§μ μΆμ’ ETF λ± μλ³Έ μλμ μ°½μΆνλ μμ°μ λν ν¬μλ₯Ό λλ €μΌ ν¨.
π·️ ν€μλ
#AGI #μΈκ³΅μΌλ°μ§λ₯ #AGIμλ #λ Έλμλ #λ Έλκ°μΉ #μλ³Έ #κΈ°μ λ΄κ±΄μ£Όμ #κΈ°λ³Έμλ #λ―ΈλλλΉ #μμ°μΆμ
*μ°Έκ³ μλ£: 《κΉλμμ μΈκ°vsκΈ°κ³》
π¨μ£Όμ: μ΄ λΈλ‘κ·Έ μλ£λ μ μκΆμ μν΄ λ³΄νΈλ©λλ€. λΈλ‘κ·Έμμ λ€λ£¨λ λ΄μ©μ ν¬μ κΆμ λ₯Ό λͺ©μ μΌλ‘ νμ§ μμΌλ©°, νΉμ κΈμ΅ μνμ λ§€μ λλ λ§€λλ₯Ό κΆμ₯νμ§ μμ΅λλ€. ν¬μ κ²°μ μ μ μ μΌλ‘ λ³ΈμΈμ μ± μ νμ μ΄λ£¨μ΄μ ΈμΌ νλ©°, μ΄ λΈλ‘κ·Έμμ μ± μμ§μ§ μμ΅λλ€.