One of the major challenges facing current AI systems is the so-called “AI amnesia.” This refers to the phenomenon where each session operates independently and cannot carry over past interaction history. As a result, AI platforms need to process user information from scratch every time, leading to significant inefficiencies.
Practical Challenges Caused by Discontinuity Between Sessions
Traditional AI systems do not utilize important contextual information accumulated in previous sessions. This increases the burden on users to repeatedly input the same information, significantly impairing the usability of the service. Additionally, providing personalized services becomes difficult, limiting the practicality of AI.
Blockchain-Enabled Persistent Memory Layer
Against this backdrop, research institutions like NS3.AI are focusing on leveraging blockchain technology. Blockchain has the key features of being persistent, verifiable, and capable of providing a memory layer where users retain ownership rights. With this architecture, AI platforms can securely share and utilize data across sessions in a context-aware manner.
Even more importantly, users can fully control data ownership and usage permissions. This allows privacy to be maintained while enabling AI systems to continuously access user information, addressing the root cause of AI amnesia.
Multi-Agent Collaboration and New AI Possibilities
Once a blockchain-based memory infrastructure is implemented, it will go beyond merely solving amnesia. We can expect the emergence of seamless collaboration among multiple AI agents, more advanced longitudinal learning, and entirely new AI applications with complete auditability.
These developments have the potential to go far beyond the financial sector, becoming a key area for the next wave of blockchain technology utilization. The fusion of AI and blockchain may not just be a technological innovation but could fundamentally transform the very nature of AI systems.
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The potential of blockchain to overcome AI forgetfulness
One of the major challenges facing current AI systems is the so-called “AI amnesia.” This refers to the phenomenon where each session operates independently and cannot carry over past interaction history. As a result, AI platforms need to process user information from scratch every time, leading to significant inefficiencies.
Practical Challenges Caused by Discontinuity Between Sessions
Traditional AI systems do not utilize important contextual information accumulated in previous sessions. This increases the burden on users to repeatedly input the same information, significantly impairing the usability of the service. Additionally, providing personalized services becomes difficult, limiting the practicality of AI.
Blockchain-Enabled Persistent Memory Layer
Against this backdrop, research institutions like NS3.AI are focusing on leveraging blockchain technology. Blockchain has the key features of being persistent, verifiable, and capable of providing a memory layer where users retain ownership rights. With this architecture, AI platforms can securely share and utilize data across sessions in a context-aware manner.
Even more importantly, users can fully control data ownership and usage permissions. This allows privacy to be maintained while enabling AI systems to continuously access user information, addressing the root cause of AI amnesia.
Multi-Agent Collaboration and New AI Possibilities
Once a blockchain-based memory infrastructure is implemented, it will go beyond merely solving amnesia. We can expect the emergence of seamless collaboration among multiple AI agents, more advanced longitudinal learning, and entirely new AI applications with complete auditability.
These developments have the potential to go far beyond the financial sector, becoming a key area for the next wave of blockchain technology utilization. The fusion of AI and blockchain may not just be a technological innovation but could fundamentally transform the very nature of AI systems.