DeepMind CaMeL Paper Implementation
This matters for developers building secure AI systems in ASEAN, offering concrete defenses against prompt injection attacks.
The tweet mentions a potential implementation of the DeepMind CaMeL paper.
The approach uses deterministic code to check results.It includes layers for handling prompt injection threats.
The model is trained to recognize and resist these threats.An ensemble of classifiers runs where the agent cannot access them.
"Deterministic code checks the result" sounds like they might be implementing a variant of the DeepMind CaMeL paper simonwillison.net/2025/Apr/11/ca… David Singleton @dps One threat we’re particularly focused on is prompt injection, and we handle it in layers. The model is trained to recognize and resist it. The harness marks anything coming from an untrusted source. Deterministic code checks the result. And an ensemble of classifiers runs where the agent can't reach them. 🔗 View Quoted Tweet📊 4 ⚡
This report is categorized under AITOP's "Papers" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include DeepMind, CaMeL, prompt injection, AI safety.
Source attribution: curated from Simon Willison (@simonw).
