Another perfect read for the weekend from a collaboration between Stanford and Google: “Generative Agents: Interactive Simulacra of Human Behavior.” I couldn’t resist writing on this one because if you know me and my work for the past ten years, AI and human behavior all at once? How can I…

Four years ago, my team set an ambitious goal: to build the smartest recommendation platform on the market. Since then, our algorithms have empowered companies of all kinds to provide tailored product and content recommendations, all without using cookies or invasive strategies. Our algorithms are so precise, that they can…

On average, Netflix users waste 21min searching every day. With 300 million users, that is more than 38 billion hours lost per year. So how that translates to you, the individual is ~126h of your life per year lost in indecision. Recommendations (in their current form) generally suck. Machine Learning…

AI technology offers incredible opportunities for improving mental health treatment. For far too long, mental health was a stigmatized topic that people avoided discussing for fear of being judged. Thankfully, more people are seeking care, which means the demand for solutions has increased! …

Or, why do we need truly personalized media recommendations. — Can’t we all relate to this feeling, arriving on the Netflix homepage and being overwhelmed by the number of movies to watch and tv-shows to binge? Ever indecisive due to all the options we are presented with that might be more entertaining, educational, or somehow worthwhile. …