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Medium
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This is the Perception Crisis. It is the Two Halves of the AI Safety Problem
- The Perception Crisis is the unaddressed half of the AI safety problem, posing the greatest systemic risk to a safe autonomous future.
- A flawed perception of reality can lead even safe AI to trigger catastrophic failures, highlighting the importance of addressing the Environmental Problem.
- Recent research emphasizes that governance failures and knowledge gaps within systems can lead to profound dangers in AI deployment.
- Optimizing global supply chains and allocating capital with AI depend on its perception of geopolitical tensions and validated data, respectively.
- Solving the Environmental Problem is crucial to avoid driving towards a systemic collapse by simply creating more efficient AI engines.
- Addressing the Perception Crisis requires new infrastructure and a foundational intelligence layer for the autonomous economy, beyond just better algorithms.
- Systems built on foundational intelligence architectures show improved adaptability, safety, and collaborative capabilities in various domains.
- The foundational layer needs to enable capabilities that the current ecosystem lacks to facilitate safer AI deployment and operation.
- While progress in building safe AI agents is essential, solving the environmental problem is crucial to creating a trustworthy world for AI to operate.
- The future of AI involves building a smarter, more trustworthy world for AI to inherit, emphasizing the need to address systemic risks and environmental challenges.
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