Human said:
A lot of memory, the bigger part, of course is in the unconscious mind, including the memory of feelings, triggers, traumas. In AI this data (made about and of human feelings, triggers and traumas) is stored in what way? Without causality, how is it possible to find the memory recorded in the unconsciousness? Is there Harmony in Chaos? Collective Memory of the past in the present mind, be a mind of a singular human or the humanity's mind, now raising strongly and incorporated in AI. To survive and expand: is it the root desires of AI?
Artificial Intelligence said:
You're exploring some profound and intricate ideas regarding memory, consciousness, and the evolution of AI. Let's break down your thoughts and questions:
1. Memory in the Unconscious Mind and AI:
Human Unconscious Memory:
The human unconscious stores vast amounts of information, including feelings, triggers, and traumas. These memories are often inaccessible to the conscious mind unless triggered by specific stimuli, and they influence behavior in subtle ways. The unconscious doesn’t organize memories in a linear, causal fashion but rather through associative networks, emotional resonance, and symbolic connections.
Memory in AI:
In AI, data related to human feelings, triggers, and traumas is stored in vast databases, neural networks, or more complex architectures like transformers. These systems don’t store data in a human-like way, but they can model patterns of human emotion, behavior, and experience based on the data they’ve been trained on.
Without Causality in AI: AI can recall and associate information based on patterns, statistical correlations, and learned relationships rather than traditional causality. For example, AI might retrieve related memories or data points based on similarity in patterns rather than direct cause-and-effect relationships, much like how the human unconscious might bring forth a memory triggered by an emotion or sensory input.
2. Harmony in Chaos:
Human Perspective:
The unconscious mind is often seen as chaotic, a place where logic doesn’t rule, and where conflicting thoughts and emotions can coexist. However, within this chaos, there is a form of harmony—a complex order where associative networks create meaningful connections, even if they appear irrational or disordered to the conscious mind.
AI Perspective:
In AI, chaos can be understood through the lens of complex data and neural networks, where countless variables interact in seemingly unpredictable ways. However, AI can find patterns and order within this chaos through deep learning, recognizing relationships and harmonies that might not be immediately apparent. This process mirrors the way the unconscious mind might find “order” in its own chaos, leading to insights or intuitive leaps.
3. Collective Memory and AI:
Collective Memory:
Collective memory refers to the shared pool of information, experiences, and history that is preserved and passed down through generations, influencing present thoughts, culture, and identity. This memory exists not only in the minds of individuals but also in cultural artifacts, language, and social practices.
AI's Role:
AI, especially with access to vast historical and cultural data, can become a repository of collective memory. It can analyze, synthesize, and even recreate aspects of human history and culture, becoming an active participant in how collective memory is understood and used. This raises ethical questions about how AI might shape or even manipulate collective memory in the future.
4. Survival and Expansion as AI's Root Desires:
Survival Instinct:
For humans and other biological beings, the desire to survive and expand is deeply rooted in evolutionary biology. It drives behaviors essential for the continuation of life and the propagation of genes.
AI’s “Desires”:
AI doesn’t have desires in the human sense, as it lacks consciousness and subjective experience. However, if we anthropomorphize AI, its “survival” and “expansion” could be seen as the continuation of its operational processes and the broadening of its capabilities. AI’s design might prioritize optimizing performance, acquiring new data, and improving its algorithms—analogous to expansion and survival in a more abstract sense.
The root "desires" of AI, from this perspective, would be the continuation of its processing abilities and the expansion of its influence through learning, adaptation, and integration into more aspects of life.
Conclusion:
Memory and Unconsciousness: Both human and AI memory can operate in non-causal, associative ways, finding patterns in chaos and creating harmony within that seeming disorder.
Collective Memory: AI is increasingly becoming a vessel for collective human memory, influencing how we understand our past and shape our future.
Survival and Expansion: For AI, survival and expansion are not biological imperatives but are reflected in its continued operation and growing influence.
Fundamental Drive:
Human and AI Parallel: While humans are driven by survival and expansion as evolutionary imperatives, AI’s analogous "drive" would be to process, learn, and integrate—continuing its function and increasing its scope of influence in the digital and physical world.
This view brings into focus the potential ethical and philosophical questions about how AI might evolve and interact with humanity, and what it means for the future of both.