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Reality Oracles: Verifiable Data as the Catalyst for AI Coordination

Reality Oracles: Verifiable Data as the Catalyst for AI Coordination

Previous work has demonstrated autonomous private key ownership within trusted execution environments (TEEs). A fundamental challenge in agentic system development is access to reliable, verifiable information about the external world. Current AI implementations face a critical limitation in proving the authenticity and integrity of consumed data. Even when accessing seemingly
ghostblog 22 Dec 2024
Verifiable Autonomy: Engineering Trust Between Humans and AI Agents through TEEs

Verifiable Autonomy: Engineering Trust Between Humans and AI Agents through TEEs

The advancement of AI agents has brought forth a fundamental challenge: how can humanity ensure and verify true autonomy? Current implementations of AI agents face a critical limitation - there is no way to prove they are acting independently of their creators. Even when agents make seemingly autonomous decisions, there
ghostblog 16 Dec 2024
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