We've built in security measures to prevent prompt injections and ensure that AI agents behave as expected, especially in regulated environments.

Transparency in AI development, including whistleblower protections and safety case publications, is essential for accountability.

There is a balance between evaluating AI systems internally before public release and obtaining valuable feedback from external critiques, which is crucial for responsible development.

We believe in radical transparency, sharing as much information as possible with our employees to foster a culture of trust and collaboration, even as a public company.

Improving the code review process and ensuring confidence in AI-generated changes will be crucial for the future of software engineering.

Transparency is crucial in addressing issues like shadow banning and censorship on platforms like YouTube.

Michael, our CEO, believes in representing the code base in a different way, possibly as pseudo code, which could significantly shorten verification time if it maps cleanly to actual changes in the software.

Our primary focus is to assist professional programmers, as they increasingly use AI to write a significant portion of their code, but they still need to review everything generated by AI.

I made commitments during the congressional hearing to ensure TikTok remains a platform for freedom of expression, free from government manipulation, and to maintain transparency through third-party monitoring.