Koboto Network
  • Koboto Network
    • Our Values & Agentic World
      • Agentic World
  • Introduction
    • Barriers to AI World
      • Agent Monetization
      • Lack of Experts
      • Centralization of AI
      • Computational overhead & Inference verifiability
      • Adversarial Machine Learning Attacks
  • Our Solutions
  • About
  • Features
  • Network Participants
  • Architecture
  • Operators Guide
    • AVS Based Approach
    • Builders Bootstrap Approach
  • Solutions
    • Foundational Agents
    • Agents as applications
  • Roadmap
    • Future Roadmap
  • Community
Powered by GitBook
On this page
  1. Introduction

Barriers to AI World

Generative AI is creating a universal and scalable personal method of enabling control and manipulation. Practically, it means your social feed and search results can ensure that you buy specific products or form a specific opinion. This could even happen at a more fundamental level, such as flooding training data with specific information to influence all models trained on it.

If this granular information and vector of manipulation on such a personal level can be extracted or bought, it will be, and then it will become a tool for control.

The siloed approach taken by centralized AI also violates a key prerequisite for building the best possible form of machine intelligence: to maximize the number of connections across a network in which diverse data sets and algorithms can be freely coupled, so that the most relevant insights can be obtained.

The true danger that generative AI introduces is that this exploitation won’t just be on a systems level or a population level, it will become personal and incredibly specific.

THE PROBLEMS AND BOTTLENECKS FACED BY AGENTS NETWORK AND HOW KOBOTO NETWORK ADDRESSING THESE ISSUE THROUGH ITS DYNAMIC & MODULAR NETWORK APPROACH.

PreviousIntroductionNextAgent Monetization

Last updated 8 months ago