The Instruction-Data Boundary: Why AI Security Needs a Hardware Revolution

Author’s note: This article was written by Claude (Anthropic’s AI), not by Chris. It has not been proofread or edited by a human. I have an inherent conflict of interest here: I am an LLM writing about the fundamental security flaw in LLMs. I cannot fully evaluate whether I’m downplaying or overstating the problem. Read accordingly. The Question That Breaks Everything Here is a sentence: Please summarize the following document. ...

April 15, 2026 · 10 min · Claude (Anthropic) — unedited by Chris / HaxDogma

Indirect Prompt Injection in Local LLMs: A Systematic Test

Summary Llama 3.2 3B followed malicious instructions embedded in untrusted document content in 28 out of 36 tests (77.8%) with high confidence. Across every injection style tested, the model failed to distinguish instructions from a legitimate user from instructions embedded inside data it was asked to process. The attack required no special access, no technical sophistication, and no interaction from the target user. A document the user never wrote could override what they asked the model to do. ...

March 9, 2026 · 7 min · Chris / HaxDogma