There is a need for a better peer review system that can adapt to the rapid pace of scientific advancements and improve the quality of published research.

Publishing research reduces lead time, allowing competitors to catch up quickly.

AI is being utilized to generate peer-reviewed scientific papers and breakthroughs, significantly accelerating scientific discovery.

Open publishing in AI research is crucial for realistic public policy and understanding the current state of the field, which benefits everyone involved.

As we automate scientists and innovators, we may see rapid advancements in scientific research, but new bottlenecks will likely arise.

Scientific progress is often hindered not by a lack of new ideas, but by the slow and expensive process of testing those ideas in the lab. My focus is on how AI can replace or minimize the need for these lab experiments.

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

The AI industry suffers from a lack of rigorous evaluations and tests that demonstrate the frontier of model capabilities.

I think people slow things down all the time because the technology is not ready or safe enough, and there are efforts to pause or delay releases.