AI Safety
Ensuring AI systems operate reliably and within intended boundaries
Hero Post
By Adesh Gairola
Claude 4.7: Five Layers Blocking Cyber Attacks Before and After
Claude 4.7 doesn't rely on one safety mechanism. It stacks a rulebook, trained refusals, differential capability reduction, two runtime probes, and a live feedback loop. Understanding which layer blocks what matters if you're building on the API.
Featured Posts
By Adesh Gairola
The $127M Algorithm: When Smart AI Goes Wrong
When AI appears to think but actually pattern-matches toward desired outcomes, you get sophisticated-looking failure. This fictional crisis demonstrates real research about AI limitations and how to build better systems.
By Adesh Gairola
Claude 4 Risk Assessment - For enterprise deployment
Claude 4 models introduce novel enterprise considerations including high-agency behaviors, self-preservation instincts, and potential consciousness indicators that may require enhanced risk management depending on your deployment context.
By Adesh Gairola
Safe AI by Design: Insights from a System Prompt
Learn key AI safety and security principles by examining the detailed instructions within a publicly available system prompt, showing how LLMs can be guided towards responsible behavior.
