Sandeep Dutt’s Masterclass
Masterclass on emerging literacies, focusing on data, inequality, and the future of humanity.
Key Takeaways
- Data is the new oil, driving extreme inequality. The richest 1% now own half the world’s wealth, and the richest 100 people own more than the poorest 4 billion.
- AI and biotech threaten to create a biological caste system. The super-rich may use technology to extend life and enhance abilities, creating a real, ability-based gap between “superhumans” and a “useless” underclass.
- Data giants’ true business is data harvesting, not advertising. Their goal is to accumulate data to gain the power to re-engineer life, with users serving as the product.
- Regulating data ownership is the most critical political question of our era. Failure to do so risks societal collapse and the permanent division of humankind.
Topics
The Rise of Data-Driven Inequality
Historical Context: Inequality increased with property ownership (Agricultural Revolution). The 20th century saw a reduction in inequality (Industrial Revolution) as mass labour was needed for factories and armies.
21st-Century Reversal: Globalisation and technology are now accelerating inequality.
Wealth Concentration: The richest 1% owns half the world’s wealth; the richest 100 people own more than the poorest 4 billion.
Biological Inequality: Biotech could enable the super-rich to buy life extension and cognitive enhancement, creating a real, ability-based gap.
Speciation: This could lead to a vertical division of humanity into a “superhuman” elite and a “useless” underclass.
The Power of Data Giants
Data as the Primary Asset: Data has surpassed land and machinery as the most important asset, making control of it the central political struggle.
Business Model: Data giants (Google, Meta, Baidu) are “attention merchants” whose true business is data harvesting.
User as Product: Users are the product, not the customer. Devices listen 24/7, collecting data even when not actively prompted.
Future Goal: Use data to transfer authority from humans to algorithms, making traditional advertising obsolete.
Long-Term Ambition: Use data to “hack the deepest secrets of life” and re-engineer organic and inorganic life forms.
The Data Ownership Conundrum
Central Question: Who owns personal data (DNA, brain activity, life choices)?
Proposed Solutions & Risks:
Government Nationalisation: Curbs corporate power but risks digital dictatorships.
Private Ownership: Difficult to regulate, as data is easily copied and distributed.
Urgency: Failure to regulate data ownership risks societal collapse. This is the most important political question of our era.
Learning Forward Programs
Learning Forward Retreat:
Format: 2-night, 3-day immersive reading and reflection program in Dehradun.
Goal: Help teachers discover their “emerging self” through deep reading and reflection.
Logistics: ~₹10,000/person; includes stay at The Fig Tree property and 25 hours of CPD.
Requirement: Participating schools must be GSA members.
Literacy Project:
Format: In-person workshops (e.g., Financial, Food, Emerging Literacies).
Next Event: September 12 in Dehradun.
Next Steps
All Participants: Join the WhatsApp group for session notes and updates.
All Participants: Check the Monday morning newsletter at gsi.in.
All Participants: Explore the Learning Forward fellowship program.
Principal, Lotus Valley International School at Greater Noida: Pursue GSA membership to enable teacher participation in the Learning Forward Retreat.
Kunal Rajpurohit: Serve as the contact for in-person workshops and retreats.
FATHOM AI-generated summary.
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