The NIH should adopt a more experimental approach to funding, allowing for high-risk, high-reward research that traditional models might overlook.

We should experiment with new funding models at the NIH, such as giving scientists long-term grants without the burden of constant applications.

My team only works on projects that advance humanity, and we often reject financially sound ideas that are ethically questionable, highlighting the importance of ethical considerations in AI.

Investing in unconventional scientific projects can lead to transformative discoveries, as seen with the potential of lizard venom-derived drugs for treating diseases.

Open-ended scientific progress is essential for addressing existential dangers, and we should focus on improving laboratory security before conducting risky research.

The U.S. government should allocate a small percentage of its budget to products built in America that have been proven effective in the field.

While we don't have the entire funding for Stargate available right now, we plan to deploy it over the next few years, barring any major setbacks.

Government partners are increasingly recognizing that the iterative process of developing technology is a feature, not a bug, and that it leads to better outcomes than traditional funding models.

When exploring new projects, it's important to accept that most will fail, but the ones that succeed can lead to significant breakthroughs.