As AI models become more capable, they can handle nuanced issues better, allowing for more artistic freedom while maintaining responsibility.

The preparation and understanding of what AI can do is becoming increasingly important as open models continue to emerge, regardless of attempts to stop them.

The biggest surprise for me is how well AI performs in legal work, which I initially thought would be too complex for it to handle effectively.

Transforming raw AI models into usable products for lawyers involves significant work, including filtering relevant documents from vast amounts of data.

OpenAI's recent advancements in voice generation, which include emotional depth, represent a significant leap over previous text-to-speech models, enhancing user experience.

The surprising interpretability of thinking models allows us to understand how they reach their conclusions, which was not expected in earlier AI developments. The fact that AI models can articulate their reasoning provides a level of comfort regarding safety, even though it's not infinite comfort.

OpenAI's new class of reasoning models hints at a potential new direction for scaling AI models.

Current AI models are increasingly capable of solving a growing set of problems year-over-year due to algorithmic improvements and better hardware scaling.

The future of AI may involve models communicating in a more efficient, nuanced language that humans cannot easily understand.