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Shahriar Golchin — LessWrong

Shahriar Golchin

Shahriar Golchin

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I am a Senior Machine Learning Research Engineer at Scale AI, working on agent evaluation and AI safety.

I received my PhD in Computer Science (AI/ML) from the University of Arizona. My research interests center on Large Language Models (LLMs), focusing on designing datasets/tasks that adversarially...

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4mo

Shahriar Golchin

I am a Senior Machine Learning Research Engineer at Scale AI, working on agent evaluation and AI safety.

I received my PhD in Computer Science (AI/ML) from the University of Arizona. My research interests center on Large Language Models (LLMs), focusing on designing datasets/tasks that adversarially...

Do AI Models Want to Be Monitored? Measuring Monitorability Disposition in Large Reasoning Models

As AI models take on increasingly high-stakes responsibilities, understanding what a model is actually doing instead of constraining its outputs has become one of the most important safety challenges in AI. Current monitoring methods are primarily passive: they rely entirely on an external observer and, in practice, often catch misbehavior...

The AI Safety Illusion: Why Current Safety Datasets Fool Us on Model Safety

AI models are increasingly trained to be “safe,” meaning they refuse harmful requests. But what does it truly mean for a model to be safe? Today, this is typically assessed using safety benchmarks: curated collections of adversarial prompts designed to test whether a model will refuse dangerous behavior. If the...