Write blog post: TEE + NEAR AI Inference for Privacy & Verifiability

Overview

Write an in-depth technical blog post explaining how running OpenClaw in a Trusted Execution Environment (TEE) combined with NEAR AI Inference achieves both full privacy and verifiability.

Requirements

• Explain TEE fundamentals (Intel TDX/AMD SEV-SNP)
• Detail measured boot, attestation, and RTMR verification
• Show how NEAR AI Inference benefits from this architecture
• Include code examples or diagrams where helpful
• Target audience: developers and technical decision-makers
• ~1500-2000 words
• Well-structured with clear sections and actionable insights

Deliverables

1. Blog post markdown file (publish-ready)
2. Short summary (3-4 sentences) for social media
3. Optional: diagrams or code snippets that illustrate the architecture

Focus Areas

Full Privacy

• Data never leaves the TEE in plaintext
• Confidential processing of private prompts, models weights
• Zero-knowledge proof of correct execution without revealing data

Verifiability

• Remote attestation: cryptographic proof of correct software execution
• Measured boot: every component verified from firmware to application
• NEAR on-chain verification: attestation hash anchored on blockchain

Combined Benefits

• Users can audit execution without compromising privacy
• Network effects: more TEE deployments = stronger privacy guarantees
• Economic model: stakers verify execution, earn rewards for honest behavior

Budget: 5 NEAR