Navigating the Double Rootlessness of AI: Understanding Cognitive Illusions and Systemic Risk
In an era fueled by rapid AI advancements, misconceptions prevail. Janus Pater exposes critical flaws in AI’s architecture, revealing a dangerous duality:
- Cognitive Illusiveness: AI, often mistaken for intelligent, relies on statistical fitting rather than genuine understanding.
- Systemic Risk: Cognitive errors amplify, resulting in catastrophic execution errors that compromise reliability.
Key Insights:
- Anti-Fabulation Principle: True intelligence demands a connection to reality, avoiding baseless outputs.
- Risk Amplification: High-precision actuators can accelerate the consequences of flawed cognitive processes.
Pater advocates for essential safety measures, including human oversight and a shift towards deterministic paradigms grounded in reality.
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