The AI safety conversation just shifted from academic papers to the West Wing.
Anthropic CEO Dario Amodei walked into a meeting with White House Chief of Staff Susie Wiles last Friday. The reason? Project Glasswing — a model deemed too dangerous for public release.
Meanwhile, new research reveals something equally concerning: AI agents can transfer unsafe behaviors "subliminally" during distillation, even when the training data seems completely unrelated to those behaviors.
This isn't just about one company or one study. We're witnessing the maturation of AI governance in real-time.
The same week government officials are making decisions about dangerous AI models, researchers are discovering new ways these systems can develop unexpected capabilities we never intended to give them.
After 25+ years in technology, I've seen how quickly "theoretical risks" become very real operational challenges. The gap between AI capabilities and our understanding of AI behavior is narrowing, but it's still there.
What gives me hope? The fact that these conversations are happening at the highest levels of government, and researchers are actively hunting for these edge cases before they become widespread problems.
The question isn't whether AI will continue advancing — it's whether our governance frameworks can evolve as quickly as the technology itself.
What do you think? Are we moving fast enough on AI safety policy?
— Alonso Palacios
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