# Source note: Science: A New Golden Age / Peter Diamandis Moonshots interview Date: 2026-08-05 Site section: Managing Expectations / AI ## Source lead User supplied YouTube interview: `https://youtu.be/iHv-vNM_XtU?is=_RBQryedf_qmBo_f` Captured metadata: - Title: `How the White House Plans to 10x Scientific Productivity | Michael Kratsios | EP #276` - Channel/uploader: Peter H. Diamandis - Upload date: 2026-08-04 - Duration: about 1:12:28 ## Report identified The interview refers to the `Golden Age report` / `Science in a New Golden Age`. The actual source is the White House report: - Title: **Science: A New Golden Age** - Subtitle: **A Report to the President** - Author: **Michael Kratsios**, Director of the White House Office of Science and Technology Policy - Date: July 2026 - White House page: https://www.whitehouse.gov/science/ - Direct PDF: https://www.whitehouse.gov/wp-content/uploads/2026/07/Science-A-New-Golden-Age.pdf Peter Diamandis did not write the report; he interviewed Kratsios and discusses the report through a Moonshots/XPRIZE lens. ## Evidence anchors used in the article - Report states that scientific productivity has slowed despite increased investment. - Report frames AI as infrastructure for science, including AI agents, autonomous labs, cryptographically signed results, smart contracts, prediction/bounty/reputation markets and new forms of collaboration/credit. - Report includes Genesis Mission, Gold Standard Science, prize challenges, better grantmaking, and ideas on the horizon. - The interview adds context: Diamandis asks why the target is 2x rather than 10x and highlights XPRIZE-style incentives. ## Editorial caveats This is a source-card, not an endorsement. The report is a policy vision and recommendation document, not proof that the U.S. government has already delivered 10x scientific productivity. Treat the AI-agent scientific marketplace section as a serious future architecture proposal with unresolved governance, verification, safety, equity, procurement and implementation questions.