Anthropic CEO Dario Amodei published an essay highlighting how little researchers understand about the inner workings of the world’s leading AI models. To address that, Amodei set an ambitious goal for Anthropic to reliably detect most AI model problems by 2027. Amodei acknowledges the challenge ahead. In “The Urgency of Interpretability,” the CEO says Anthropic has made early breakthroughs in tracing how models arrive at their answers — but emphasizes that far more research is needed to decode these systems as they grow more powerful. “I am very concerned about deploying such systems without a better handle on interpretability,” Amodei wrote in the essay. “These systems will be absolutely central to the economy, technology, and national security, and will be capable of so much autonomy that I consider it basically unacceptable for humanity to be totally ignorant of how they work.” Read more on Amodei's essay at the link in the bio 👆 Article by Maxwell Zeff Image Credits: Benjamin Girette/Bloomberg / Getty Images #TechCrunch #technews #artificialintelligence #Anthropic #AIstartup #startup