Insights on building verifiable, trustworthy AI and the cryptographic future of autonomous systems
OpenClaw has well-documented security vulnerabilities in its skill ecosystem. Current mitigations fall short. ClawCheck provides cryptographic verification and mathematical guarantees where probabilistic detection cannot.
Read more →OpenClaw agents are powerful and autonomous, but the security layer that makes them safe to run at scale is missing. ClawCheck provides architectural enforcement, not just monitoring.
Read more →NVIDIA's CES announcement that inference now accounts for 40% of AI revenue, heading to 75-80% by 2030, creates the economic conditions where cryptographic verification of AI compute becomes essential infrastructure.
Read more →Open AI models have quietly caught up, delivering ~90% of the performance of closed models at ~15% of the cost. Yet they capture only ~4% of revenue. This $25B trust gap is the single largest inefficiency in the AI economy today.
Read more →Anthropic's disclosure of a fully documented, large-scale cyberattack executed almost entirely by an AI agent marks a turning point in cybersecurity.
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