AI article
I built an epistemic gate to stop LLM data poisoning during fine-tuning. Tested across 5 architectures, orchestrated on a 2006 Toshiba laptop for $0.
Community description: Hi everyone, For a long time, the AI industry has pushed the narrative that advanced safety research,...
Dev.to | Sep 12, 2026 | Eduardo
Automated excerpt
Today, I'm open-sourcing the first phase of this work: Beatriz Epistemic Gate. Malicious data poisoning during fine-tuning is often surgical and invisible to aggregate metrics (like standard perplexity). This makes silent poisoning a stealthy threat for small teams and startups fine-tuning local models.
Selected automatically from source text; not independently written or fact-checked. Read the original for full context.