Agentic Jailbreaking is the New Kernel Panic
95% of teams are focused on the wrong threat model. They are still obsessing over "prompt engineering" and making models say bad words, while the real danger is moving toward complex agentic...
95% of teams are focused on the wrong threat model. They are still obsessing over "prompt engineering" and making models say bad words, while the real danger is moving toward complex agentic...
95% of agentic workflows will fail to provide ROI because they ignore the most critical boundary: the tool-use perimeter. As we move toward GPT-6 Astra-class capabilities, the real challenge isn't...
95% of developers are building agents that are one tool-call away from a security disaster. We’re moving from simple chat interfaces to autonomous agents with system access, and the "sandbox" is no...
95% of agent deployments will fail because they lack structural enforcement. We’re moving past the era of "hopeful" system prompts and into the era of cryptographically verified permissions. As we...
95% of builders are focusing on the wrong thing. They are obsessing over prompt engineering while the boundary between "model" and "malware" evaporates. As frontier models demonstrate the ability to...
95% of developers are wasting time perfecting system prompts that will be obsolete by next month. We are moving away from massive, prompt-heavy context windows toward "skill-mediated" architectures....
Three iterations of a substrate benchmark forced three rewrites of what agent-native CLI means. Operation size and model capability dominate. Substrate format is a few-percent margin call.
95% of agent deployments never make it past the demo stage. Too expensive, too slow, or too brittle for real workloads. So are we in another AI infrastructure bubble? Or are we finally building the...
Schema-gated frameworks are emerging as the solution to agent reliability — balancing LLM flexibility with deterministic execution. Meanwhile, hybrid analysis approaches (combining static analysis...