Researchers and product managers from OpenAI discuss the evolution from GPT-5 to GPT-5.1, detailing the shift to universal reasoning models. They explore the nuanced concept of model "personality," the technical challenges of balancing steerability with safety, and how features like Memory and improved context awareness are creating more emotionally intelligent and personalized AI interactions.
Researchers Christina Kim and Laurentia Romaniuk discuss the development of GPT-5.1, focusing on the shift to making reasoning models the default. They explore the nuanced concept of model "personality" as a blend of response style and the entire user experience, and detail the ongoing work of balancing model steerability with safety.
OpenAI's Christina Kim (Research) and Laurentia Romaniuk (Product) discuss the development of GPT-5.1, detailing the shift to universal "reasoning models" to enhance both IQ and EQ. They explore the nuances of "model personality," the technical challenges of balancing steerability with safety, and how features like Memory create a more personalized, context-aware user experience.
Co-founders Jenn Wortman Vaughan and Hanna Wallach reflect on 20 years of the Women in Machine Learning (WiML) workshop, discussing its origins, their parallel careers in responsible AI, and the future challenges of evaluating generative AI and fostering critical thought.
Jenn Wortman Vaughan and Hanna Wallach, co-founders of the Women in Machine Learning (WiML) workshop, reflect on their intersecting careers, the founding and evolution of WiML over 20 years, and their influential research in responsible AI, from interpretability and fairness to the current challenges in generative AI.
Russ Fradin, founder of Larridin, draws parallels between the early days of ad tech and the current AI boom, arguing that a robust measurement infrastructure is the missing piece to unlock AI's true enterprise value. He discusses the challenges of measuring AI ROI, the gap between AI spending and actual usage, and how to overcome employee anxiety to foster productive adoption. The key is to move beyond simple surveys and marry behavioral data with real-world outcomes to understand if AI tools are actually making companies more productive.