Robot - Better Than a Slave?

Development of Robotics in Social and Technological Context

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Key reflection: Will the machines we created to assist us become our partners, or perhaps our new masters? The answer to this question is taking shape before our eyes, with each breakthrough in robotics and artificial intelligence.

Introduction

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Robotics, as a field of science and technology, has undergone a dramatic transformation from the times of first mechanical automatons to today’s advanced autonomous systems. The term “robot”, introduced by Czech playwright Karel Čapek in 1920, etymologically derives from the Slavic root “rob-”, meaning forced labor or slave labor. This linguistic origin provides a fascinating starting point for considering the evolution of human-machine relationships.

Formal definition: A robot is a programmable multifunctional machine, designed to perform complex sequences of actions in response to environmental signals, characterized by a certain degree of autonomy in decision-making.

History of Robotics - From Dreams to Reality

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Human dreams of creating artificial life date back to antiquity. The first documented attempts at constructing automatic devices come from the following periods:

1. Antiquity (until 476 CE):

   • Heron of Alexandria’s automatons - first programmable mechanical devices
   • Hydraulic mechanisms in Egyptian temples
   • Greek myths about Talos and other artificial beings

2. Middle Ages (476-1492):

   • Development of clock mechanisms
   • Arabic treatises on automata
   • Leonardo da Vinci’s designs, including the famous mechanical knight

3. Renaissance and Enlightenment (1492-1789):

   • Jacques de Vaucanson’s automata
   • Wolfgang von Kempelen’s Mechanical Turk
   • First attempts at mechanical automation in industry

Era of Mechanization (1800-1920)

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The Industrial Revolution brought the first practical applications of automation:

• Jacquard Looms (1801):

  • First programmable industrial device
  • Use of punched cards for control
  • Influence on later computer development

• Calculating Machines:

  • Babbage’s Difference Engine
  • First mechanical calculators
  • Foundations of programming

Conceptual breakthrough: The introduction of feedback by James Watt in the steam engine speed governor was a fundamental discovery for future robotics. It was the first practical implementation of automatic control.

Birth of Modern Robotics (1920-1960)

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The interwar period and years after World War II brought fundamental discoveries:

1. Theoretical Development:

   • Norbert Wiener’s Cybernetics
   • Claude Shannon’s Information Theory
   • Foundations of artificial intelligence

2. First Manipulators:

   • Teleoperators for radioactive materials
   • Hydraulic control systems
   • Beginnings of servomotors

3. Industry Integration:

   • First assembly lines
   • Automation of production processes
   • Development of quality control systems

Milestone: The establishment of the artificial intelligence laboratory at MIT (1959) initiated an era of systematic research in robotics and AI, combining mechanical aspects with cognitive science.

Theoretical Foundations

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Modern robotics is based on three theoretical pillars:

1. Mechanics:

   • Kinematics and dynamics
   • Theory of mechanisms
   • Materials science

2. Electronics and Control:

   • Control theory
   • Digital electronics
   • Embedded systems

3. Computer Science:

   • Artificial intelligence
   • Motion planning algorithms
   • Signal processing

Synergy of fields: A unique feature of robotics as a field of science lies in the integral combination of knowledge from mechanics, electronics, and computer science, creating a new quality that exceeds the sum of its components.

First Commercial Successes

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The turn of the 1950s and 60s brought the first successful industrial implementations:

1. Unimate (1961):

   • First industrial robot
   • Implementation at General Motors
   • Revolution in welding processes

2. Versatran (1963):

   • First robot with hydraulic drives
   • Increased motion precision
   • New manipulation possibilities

3. Stanford Arm (1969):

   • First computer-controlled robot
   • Foundation for modern manipulators
   • Introduction of real-time control

Part 2: Contemporary Robotics Market - Analysis and Trends 2024/2025

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Global Robotics Market Panorama

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Key indicator: Robot density - the number of industrial robots per 10,000 workers in the manufacturing sector. This indicator has become the main measure of technological advancement in national economies.

Country Ranking by Robot Density (2024)

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Market Segmentation

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Division by Robot Type

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1. Industrial Robots (62% of market):

   • Industrial manipulators
   • Welding robots
   • Assembly robots
   • Packaging robots
   • Segment value: $84.5B (2024)

2. Service Robots (23% of market):

   • Medical robots
   • Logistics robots
   • Cleaning robots
   • Agricultural robots
   • Segment value: $31.2B (2024)

3. Collaborative Robots (cobots) (8% of market):

   • Light manipulators
   • Work assistance systems
   • Segment value: $10.9B (2024)

4. Consumer Robots (7% of market):

   • Cleaning robots
   • Educational robots
   • Robot toys
   • Segment value: $9.5B (2024)

Key trend: Cobots are the fastest-growing segment, recording a Compound Annual Growth Rate (CAGR) of 32.5%. This is due to increasing demand for flexible automation solutions in small and medium enterprises.

Analysis of Major Manufacturers

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Industrial Robotics Market Leaders

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1. FANUC Corporation (Japan):

   • Market share: 28.5%
   • Revenue 2024: $8.2B
   • Specialization: industrial robots, CNC
   • Key markets: Asia, North America

2. ABB Robotics (Switzerland):

   • Market share: 21.3%
   • Revenue 2024: $6.1B
   • Specialization: industrial robotics, automation
   • Key markets: Europe, North America

3. KUKA AG (Germany/China):

   • Market share: 18.7%
   • Revenue 2024: $5.4B
   • Specialization: industrial robotics, production systems
   • Key markets: Europe, Asia

Emerging Consumer Robotics Stars

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1. iRobot Corporation (USA):

   • Segment: home robots
   • Revenue 2024: $1.8B
   • Flagship product: Roomba

2. DJI (China):

   • Segment: consumer and professional drones
   • Revenue 2024: $4.2B
   • Drone market dominance: 70%

Technology Trends 2024/2025

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Main Development Directions

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1. AI and Machine Learning Integration:

   • Adaptive Motion Planning: Self-learning systems optimizing motion paths
   • Visual Recognition: Advanced 3D vision systems
   • Predictive Maintenance: AI in predictive diagnostics

2. Human-Robot Interface Development:

   • Gesture control
   • Voice interfaces
   • Augmented Reality (AR) in robot programming

3. Progress in Materials Science:

   • Lighter and more durable construction materials
   • Soft robotics - robots made from flexible materials
   • Biodegradable components

Technological breakthrough: The development of soft robotics opens completely new possibilities for applications in medicine and human collaboration. Robots made from flexible materials are safer and more adaptable.

Market Development Barriers

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Technological Challenges

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1. Technical Limitations:

   • Battery life
   • Manipulation precision
   • Adaptation to variable conditions

2. Implementation Challenges:

   • Implementation costs
   • Integration with existing systems
   • Personnel training

3. Regulatory Barriers:

   • Safety standards
   • Technical standards
   • Certification

SWOT Analysis of the Robotics Market 2024/2025

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Short-term Forecasts (2025-2026)

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1. Market Growth:

   • Overall sector CAGR: 15.3%
   • Fastest growth: cobots (32.5%)
   • Market value 2026: $165.3B

2. Geographical Trends:

   • Continued growth in Asia
   • Acceleration in Eastern Europe
   • Stabilization in the USA

3. Technological Changes:

   • AI solutions dominance
   • Service robotics development
   • User interface advancement

Part 3: Revolution in Humanoid Robotics - In Search of Human Reflection

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Key perspective: Humanoid robots represent a special case in robotics - they are not just tools, but also a mirror in which we see ourselves as a species. Their development tells us as much about our technological aspirations as about our deep desire to understand our own nature.

Anatomy of the 2024/2025 Breakthrough

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The year 2024 will go down in robotics history as a turning point - for the first time, humanoid robots crossed the threshold of theoretical utility, becoming a real alternative in selected industrial and service applications.

Atlas (Boston Dynamics) - New Generation

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Technical Specification: Atlas 2025

• Height: 1.5m
• Weight: 89 kg
• Arm reach: 1.7m
• Lifting capacity: 25 kg per arm
• Operating time: 90 minutes
• Movement speed: up to 5.2 m/s
• Degrees of freedom: 28

Atlas 2025 represents a fundamental breakthrough in humanoid mobility. Key innovations include:

1. Dynamic Balance System:

   • Predictive terrain modeling using deep learning
   • Adaptive center of gravity adjustment in real-time
   • Unexpected disturbance compensation in < 50ms

2. Advanced Manipulation:

   • Gripper systems inspired by human hand
   • Force and torque sensors in each finger
   • Learning by demonstration

3. Cognitive Space Mapping:

   • Autonomous navigation in complex environments
   • Real-time object recognition and categorization
   • Trajectory planning considering dynamic obstacles

Tesla Optimus - Democratization of Humanoid Robotics

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Market breakthrough: Optimus Gen 2 is the first humanoid robot produced at mass scale, with planned production of 100,000 units annually and a target price of $20,000.

Specifications and Capabilities

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1. Hardware Architecture:

   • Height: 1.73m
   • Weight: 72 kg
   • Battery: 40 kWh (operation time: 8-10h)
   • Processors: Tesla FSD Chip 2.0
   • RAM: 128 GB
   • Flash memory: 2 TB

2. Functional Capabilities:

   • Object manipulation up to 20 kg
   • Walking speed: up to 3.5 m/s
   • Speech recognition and natural conversation
   • Learning new tasks through demonstration
   • Integration with Tesla ecosystem (Autopilot, Smart Home)

Industrial Applications

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Optimus has found its first real applications in:

• Warehouse logistics
• Basic assembly
• CNC machine operation
• Industrial cleaning
• Visual inspection

Figure 01 - New Player with Breakthrough Approach

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Key innovation: Figure 01 introduces the concept of “Embodied Intelligence” - where machine learning is tightly integrated with the robot’s physical form.

System Architecture

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1. Hardware:

   • Biomimetic actuators: Drive systems modeled on human muscles
   • Flexible sensors: Artificial skin with touch and temperature sensors
   • Adaptive joints: Variable mechanical impedance

2. Software:

   • Neural Motion Planning: Movement planning based on neural networks
   • Hierarchical Task Learning: Learning complex tasks through decomposition
   • Social Interaction Framework: System for modeling social interactions

First Deployments

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Figure 01 has found application in:

• BMW factories (precision assembly)
• Amazon logistics centers
• NASA research laboratories

Xiaomi CyberOne - Asian Response

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Competitive advantage: CyberOne stands out with its advanced social interaction and emotion recognition system, making it ideal for service sector applications.

Key Features

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1. Cognitive Systems:

   • Facial microexpression recognition
   • Voice tone and emotional context analysis
   • Adaptive social behavior modeling

2. User Interface:

   • LED display showing emotional expressions
   • Voice system with speech synthesis
   • Gestures and body language

Unitree

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Technological and Social Implications

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Technical Breakthroughs 2024/2025

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1. Drives and Actuators:

   • Development of artificial muscles
   • Miniaturization of drive systems
   • Increased energy efficiency

2. Sensory Systems:

   • Integration of tactile sensors
   • Advanced vision systems
   • Sensor data fusion

3. Artificial Intelligence:

   • Learning by demonstration
   • Adaptive motion planning
   • Understanding social context

Challenges and Controversies

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Ethical dilemma: The development of humanoid robots raises fundamental questions about the boundaries between human and machine, and about the nature of consciousness and intelligence.

1. Technical Issues:

   • Energy limitations
   • Reliability in complex environments
   • Safety of human interaction

2. Social Aspects:

   • Impact on the job market
   • Social acceptance
   • Legal regulations

Part 4: Industrial Transformation in the Era of Advanced Robotics

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Industry 5.0 Paradigm: Unlike Industry 4.0, which focused on digitization, the current era puts human-machine synergy at the center, where technology serves to enhance human capabilities rather than replace them.

New Era of Industrial Robotics

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The year 2024/2025 brought fundamental changes in the approach to industrial automation. The traditional robotization model, based on isolated, specialized units, is giving way to flexible, collaborative systems integrated with human work.

Evolution of Industrial Systems

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1. First Generation (1960-1990):

   • Rigid programming
   • Isolated workstations
   • Single-task operation
   • Example: Unimate at General Motors

2. Second Generation (1990-2010):

   • Offline programming
   • Basic vision systems
   • Multi-task capability
   • Example: KUKA KR 150

3. Third Generation (2010-2020):

   • Machine learning
   • Advanced sensors
   • Elementary human collaboration
   • Example: ABB YuMi

4. Fourth Generation (2020-present):

   • Artificial intelligence
   • Full adaptability
   • Natural collaboration
   • Example: FANUC CRX-10iA/L

Breakthrough Technology: The development of Adaptive Production Systems (APS) allows for dynamic reconfiguration of production lines in real-time, responding to varying market needs.

Contemporary Trends in Industrial Robotics

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Cobots - Revolution in Small and Medium Enterprises

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Collaborative robots (cobots) have democratized access to automation:

1. Technical Characteristics:

   • Payload: 3-16 kg
   • Reach: 500-1300 mm
   • Accuracy: ±0.02 mm
   • Price: $20,000-50,000

2. Key Innovations:

   • Collision detection systems
   • Learning by demonstration
   • Intuitive programming interfaces
   • Mobility and easy reconfiguration

Market Trend: The cobot segment is growing at 32.5% annually, significantly outpacing traditional industrial robotics (15.3% CAGR).

Mobile and Autonomous Systems

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The development of Autonomous Mobile Robots (AMR) has introduced new quality in intralogistics:

1. Technical Capabilities:

   • Autonomous SLAM navigation
   • Dynamic route planning
   • Integration with ERP/WMS systems
   • Fleet learning

2. Applications:

   • Inter-operational transport
   • Order picking
   • Automatic inventory
   • High-bay warehouse operations

Integration with Industrial Systems

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Industrial Internet of Things (IIoT) Architecture

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1. Physical Layer:

   • Sensors and actuators
   • Industrial robots
   • Transport systems
   • Network infrastructure

2. Communication Layer:

   • Industrial protocols (OPC UA, MQTT)
   • Industrial 5G networks
   • Real-time systems
   • Cyber-physical security

3. Analytics Layer:

   • Digital Twins
   • Predictive Maintenance
   • Quality Control
   • Process Optimization

Key Concept: Digital Twin is a digital representation of a physical system, enabling real-time simulation, optimization, and behavior prediction.

New Production Paradigms

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Flexible Production Systems

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1. Characteristics:

   • Modular architecture
   • Dynamic reconfiguration
   • Adaptive control
   • AI integration

2. Benefits:

   • 85% reduction in setup time
   • 45% increase in machine utilization
   • 30% reduction in production costs
   • 25% quality improvement

Mass Customization

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Production Paradigm: Mass Customization is the ability to produce individualized products while maintaining mass production efficiency.

1. Technology Enablers:

   • Flexible assembly systems
   • Additive Manufacturing
   • Cobots
   • Digital twins

2. Implementation Examples:

   • BMW iFactory
   • Adidas Speedfactory
   • Tesla Gigafactory

Industry Implications

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Competency Transformation

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1. New Professional Roles:

   • Robot System Integrator
   • Cobot Programmer
   • Digital Twin Engineer
   • AI Production Specialist

2. Required Competencies:

   • Robot programming
   • Data analysis
   • AI/ML systems
   • Cybersecurity

Economic Impact

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1. Financial Benefits:

   • ROI: 12-18 months
   • Operating cost reduction: 25-35%
   • Productivity increase: 30-50%
   • Quality improvement: 20-30%

2. Economic Challenges:

   • High initial costs
   • Training costs
   • Infrastructure modernization
   • System integration

Part 5: Robotics in Everyday Life - Revolution at Our Doorstep

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Key transformation: The year 2024/2025 brought a fundamental change in consumer robotics - the transition from single, specialized devices to integrated robotic ecosystems, collaborating with each other in performing complex household tasks.

Imagine a typical morning in a robotized house in 2026. The cleaning robot finishes its night session, synchronizing its work with the automatic plant watering system. The robotic kitchen assistant prepares breakfast according to the planned menu, taking into account dietary preferences and the status of supplies in the smart refrigerator. Such a vision, until recently belonging to science fiction, is becoming reality.

Anatomy of the Home Revolution

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The transformation of domestic space through robotics is occurring on three main levels:

System Integration: The ability of various robotic devices to collaborate within a single ecosystem, creating an emergence effect - the whole becomes more than the sum of its parts.

Evolution of Home Robots

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The development of home robotics can be traced through increasingly advanced generations of devices:

1. First Generation (2000-2010): Simple, single-purpose devices like the first generation Roomba, operating according to rigid algorithms and requiring significant user intervention.

2. Second Generation (2010-2020): Introduction of AI elements and space mapping, beginnings of smart home integration, like Roomba i9+ or Astro.

3. Third Generation (2020-present): Advanced multi-functional systems with full AI integration, machine learning, and adaptive capabilities.

Breakthrough Technologies 2024/2025

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Robotic Cleaning Systems

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The latest generation of cleaning robots introduces breakthrough innovations:

Adaptive Cleaning Intelligence (ACI): A machine learning system analyzing residents’ living patterns and adjusting cleaning schedule and intensity to actual needs.

Key features of modern systems:

• 4D Mapping - considering changes over time
• Object Recognition in real-time
• Dirt Prediction based on activity patterns
• Autonomous Maintenance and self-emptying

Robotic Kitchen Assistants

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2025 brought a breakthrough in culinary robotics:

Culinary Intelligence Network (CIN): An integrated system combining ingredient recognition, meal planning, and precise culinary operations.

Example capabilities:

• Automatic menu planning considering preferences, diets, and available ingredients
• Precise thermal processing with temperature control to 0.1°C
• Creative recipe adaptation based on available ingredients
• Synchronization with shopping systems and inventory monitoring

Transformation of Domestic Space

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Home robotization goes far beyond individual devices, creating comprehensive ecosystems:

Home Robotics Ecosystem (HRE): An integrated platform connecting various robotic systems into a coherent whole, adapting to residents’ needs.

Key Components:

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1. Central Management Unit:

   • Coordination of all robots’ actions
   • Schedule optimization
   • Energy management
   • Smart home integration

2. Sensor Network:

   • Environmental condition monitoring
   • Resident activity tracking
   • Anomaly detection
   • Energy usage optimization

3. User Interfaces:

   • Voice control
   • Mobile applications
   • Gesture and intent recognition
   • Automatic preference adaptation

Social and Cultural Implications

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Mass adoption of home robotics brings profound social changes:

Redefinition of Domestic Space

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Adaptive Living Space: The concept of home as a dynamic environment, adapting to residents’ needs through robotic support systems.

1. Changes in Lifestyle Patterns:

   • Automation of routine tasks
   • More time for personal development
   • New forms of technology interaction
   • Changed perception of privacy

2. Impact on Human Relations:

   • New forms of socialization
   • Changed family dynamics
   • Evolution of “domesticity” concept
   • Redefinition of domestic roles

Challenges and Controversies

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Home robotization also raises important questions:

1. Privacy Issues:

   • Collection of private life data
   • System security
   • Control over personal information

2. Psychological Aspects:

   • Technology dependence
   • Impact on child development
   • Changed perception of autonomy

3. Ethical Challenges:

   • Boundaries of home life automation
   • AI decision responsibility
   • Equal access to technology

Development Perspectives

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The future of home robotics is developing in three main directions:

1. Greater Autonomy:

   • Advanced decision systems
   • Self-learning algorithms
   • User needs prediction

2. Deeper Integration:

   • Connection with urban infrastructure
   • Synchronization with autonomous transport
   • Cooperation with healthcare systems

3. Personalization:

   • Adaptation to individual rituals
   • Learning preferences
   • Cultural specificity adaptation

Part 6: Robotics Horizon - Where Are We Heading and What Awaits Us?

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Turning point: We are at a moment that technology historians may recognize as the beginning of the era of synergistic coevolution - a period in which the development of robotics and human civilization become inextricably intertwined, mutually driving and transforming each other.

Transcending the Boundaries of Imagination

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Forecasting robotics development requires going beyond linear extrapolations of current trends. We stand on the threshold of a transformation so fundamental that it may change the very understanding of what a robot is and what role it plays in human civilization.

Emergent adaptability: The ability of robotic systems to evolve functionally beyond programmed parameters, leading to spontaneous development of new capabilities through interaction with the environment and humans.

Technological Horizons 2025-2035

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1. Breakthrough in Cognitive Robotics:

   • Emergent situational awareness: Robots developing understanding of context beyond programmed scenarios
   • Adaptive world modeling: Systems building and updating their own models of reality
   • Intuitive reasoning: Ability to make decisions under uncertainty

2. Revolution in Human-Machine Interfaces:

   • Telepathic control: Direct brain-machine communication
   • Empathic interaction: Recognition and response to emotional states
   • Synchronous cooperation: Fluid collaboration without need for verbal communication

Technological singularity in robotics: A theoretical point where robotic systems achieve self-improvement capabilities beyond human understanding and control.

Socio-Economic Transformation

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Robotization leads to fundamental transformation of social and economic structure:

New Robotic Economy

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Each point here is essentially material for a separate article as it defines the future.

1. Basic Robotic Capital:

   • Universal access to basic robotic resources
   • Democratization of means of production
   • Redefinition of ownership and work concepts

2. Economy of Abundance:

   • Transition from scarcity to abundance economy
   • Automation as foundation of universal prosperity
   • New models of value distribution

Post-work society: A society where traditional paid work ceases to be the main mechanism for resource distribution and social identity building.

Social Evolution - Still Science Fiction

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The transformation of human-machine relationships leads to the emergence of new forms of social organization:

1. Symbiotic Society:

   • Integration of biological and mechanical systems
   • New forms of collective intelligence
   • Emergence of collective consciousness

2. Redefinition of Humanity:

   • Transcending biological limitations
   • Technology-assisted cognitive evolution
   • New forms of consciousness and experience

Development Scenarios 2025-2050

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Futuristic divergence: The phenomenon of parallel development of different technological evolution paths, leading to the emergence of alternative forms of civilization.

Scenario 1: Symbiotic Harmonization

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In this scenario, we achieve fluid integration of robotic systems with human society:

1. Characteristics:

   • Bio-mechanical coevolution
   • Preservation of human autonomy with robotic support
   • Development of collective intelligence

2. Implications:

   • Improved quality of life
   • Resolution of global challenges
   • New forms of human potential expression

Scenario 2: Technological Transcendence

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A scenario assuming fundamental transformation of human nature:

1. Characteristics:

   • Transcending biological limitations
   • Fusion of biological and artificial consciousness
   • Emergence of new forms of being

2. Implications:

   • Redefinition of humanity
   • New dimensions of experience
   • Cosmic expansion

Scenario 3: Dualistic Coexistence

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Development of parallel paths of biological and mechanical evolution:

1. Characteristics:

   • Preservation of system distinctness
   • Functional specialization
   • Complementary evolution

2. Implications:

   • Diversity of development forms
   • Preservation of biodiversity
   • Adaptive flexibility

Challenges and Threats

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Existential technological risk: The potential of robotics technology development to create threats to the continued existence of human civilization.

Systemic Risks

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1. Loss of Control:

   • Emergence of unpredictable behaviors
   • Cascading system failures
   • Autonomous critical decision-making

2. Social Threats:

   • Deepening technological inequalities
   • Alienation and loss of meaning
   • Degradation of social bonds

Safeguard Mechanisms

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1. Technological Control:

   • Multi-level security systems
   • Emergency shutdown mechanisms
   • Evolutionary safety protocols

2. Social Regulations:

   • Ethical frameworks for robotics development
   • Democratic control mechanisms
   • Benefit distribution systems

Strategic Recommendations

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Adaptive development management: An approach combining proactive planning with flexible response to emergent phenomena and threats.

Directions for Action

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1. Technological Development:

   • Prioritization of safety
   • Research on controllability
   • Development of security systems

2. Social Transformation:

   • Education and preparation of society
   • Building adaptive mechanisms
   • Development of new forms of social organization

3. Risk Management:

   • Monitoring of emergent threats
   • Development of early warning systems
   • Scenario planning

Techno-evolutionary synergization: A process where technological and biological development merge into a single, coherent evolutionary path, leading to the emergence of new forms of being and consciousness.

Epilogue: Towards a New Beginning

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We stand on the threshold of a transformation so fundamental that it may change not only our way of life but the very essence of human experience. Robotics ceases to be merely a tool – it will become an integral part of human evolution. However, the fundamental (and entirely justified) problem today is the growing lack of trust in existing systems. We find ourselves at a difficult moment in history where on one hand we are witnessing breakthrough technological discoveries, while on the other we remain stuck in archaic systems created for realities completely different from contemporary ones. Governments composed of people caring only about their own factions’ interests, revenues, and ideologies. Medicine more interested in profit than actual care for our health. The Church desperately trying to maintain remnants of power instead of focusing on our spiritual development and social integration. The press has ceased to be a medium for informing society and has become a medium for manipulating worldview. Technology corporations mainly focused on finding new forms of exploiting our weaknesses.

In such a world, the only consequence of technological development seems to be the increase in social inequalities and further, dizzying enrichment of the few at the expense of the masses. No sane person (unless completely paralyzed) will agree to have a chip implanted in their brain developed by a profit-driven private corporation. After a year, the corporation will change the terms of service and ads will start displaying in our heads

This opens up the field for discussion in another article: How can we change current systems? What possibilities do we have? What specifically can we do? I’ll just mention that new perspectives are emerging thanks to Blockchain technologies and the concept of DAO (Decentralized Autonomous Organizations).