My reply to this important statement is that this Google executive wants something extremely important and very possible .. but ONLY IF powerful enough artificial general intelligence (AGI) is (1) fully understood and developed; (2) managed and integrated in a way which fully reflects the best of what we know of how AGI can work or can lead to disaster, depending especially on aspects of embodiment like utility function systems and sensor networks; (3) linked to the most relevant advanced engineering physics not even taught yet in most engineering schools , such as the technologies of free energy essential to human communities and biological evolution, and the role of master equations (usually in Lindblad form) crucial to design of working quantum electronics and optics.
I recently updated a blog post
https://drpauljohn.blogspot.com/2025/04/from-golden-dome-to-new-jerusalem.htmlby adding an Appendix B which is just a quick overview of what we need. Before my retirement from NSF in 2015, the Deputy AD in charge of all of Engineering asked me to handle review of proposals too hard for other programs to handle; >90% would not hold water under tight scrutiny but two suggested solid breakthroughs. One of them is already hinted at in Appendix B and described in a journal article in cond-mat at arxiv. Another involves startling work by Leitenstorfer by Lake Konstanz, recently support by work on quantum information technology in Asia; it uses a family of nonlinear electrooptic crystals, offering space applications beyond what the more familiar BBO nonlinear crystals have opened up in quantum optics.
I doubt that Google or musk or any other powerful players on this space now know how to find the necessary levels of S&T.
I hope that IEEE GAC ,-- or SOMEONE -- could help close the gap to make the vision safe and real.