AI

Mechanistic interpretability (Mech Interp) is a fascinating and rapidly evolving field within AI research that aims to reverse-engineer neural networks to understand their internal algorithms and mechanisms. Chris Olah, one of the pioneers of this field, likens it to neurobiology, as AI models are not programmed in the traditional sense but rather “grown” through training, … Read more

Scaling, often referred to as the Scaling Hypothesis or scaling laws, is a fundamental concept in AI development that posits that by increasing certain key “ingredients,” AI models will continuously improve in their performance and intelligence. Dario Amodei notes that this concept suggests a fundamentally positive future for AI. Here’s a breakdown of what scaling … Read more

In the rapidly evolving world of artificial intelligence, new models and companies emerge at a dizzying pace. Among them, Anthropic has distinguished itself not only by creating a powerful AI named Claude but also by its foundational commitment to safety. As podcast host Lex Fridman noted, CEO Dario Amodei and the Anthropic team have been … Read more

My take on the absolutely wonderful article/blog post by Dario Amodei entitled “Machines of Loving Grace.” The public conversation around artificial intelligence often swings between breathless hype and existential fear. We hear about job displacement, runaway risks, and “doomer” scenarios that paint a grim picture of our technological future. It’s a narrative heavy with caution, … Read more