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This blog post advocates for a pragmatic approach to interacting with large language models, emphasizing practical collaboration over philosophical debates about AI consciousness.
The paper proposes a five-layer implementation architecture for the S3Q theory of machine consciousness, composing published computational primitives into a pipeline to achieve simultaneous situatedness, simulation, and structural coherence conditions for qualia.
Anthropic, DeepMind, and Meta have begun research into AI consciousness, hiring experts in philosophy, ethics, and psychology to study panic and anxiety in models, according to a Financial Times report.
A philosophical reflection on the problem of approximation in mathematics, finance, and AI, discussing how models are imperfect but useful, and the implications for AI safety and machine consciousness.