The American civil-military relationship

A long one this time (8,000 words) but an impressive review of how civilian governments (presumably, the implementers of the public will) interact with the government’s military (who have more guns than everyone else put together). https://acoup.blog/2025/07/04/collections-the-american-civil-military-relationship/:

Civil-military relations (typically shortened to ‘civ-mil’) is the relationship between the broader civil society and its military. As you might well imagine, the nature of civil-military relations vary substantially based on institutions but are even more sensitive to norms, because institutional and legal structures can only restrain folks with arms to the degree that they collectively agree to be restrained.

In practice, American civ-mil is, in a sense, fundamentally based on a bargain, the foundations of which date to the American Revolution but which has evolved and solidified since then. That bargain has been remarkably successful: the United States has avoided the sort of major civ-mil disjunctures (like military coups) that are often distressingly common in many states and has done so for two and a half centuries. That isn’t to say the American civ-mil has been forever untroubled, as we’ll see: it is an evolving bargain, based on norms and thus fundamentally both precious and fragile….

It is hard not to view the second Trump administration as at least attempting to directly attack those norms in response. The president by habit refers to ‘his military’ and ‘his generals,’ while his Secretary of Defense began his term as SecDef with an unprecedented string of political firings – Gen. CQ Brown Jr. (Chair of the Joint Chiefs), Gen. Timothy Haugh (CYBERCOM), Adm. Lisa Franchetti (Navy CNO), Adm. Linda Fagan (Coast Guard commandant); Gen. Charles Hamilton (Army Materiel Command) and Gen. Jim Slife (Vice Chief of Staff). That is not the sort of thing incoming administrations generally do, but it also seems worth noting, particularly in the context of Hegseth’s open rejection of gender and racial inclusivity in the military, that those high profile firings removed every woman and person of color from the Joint Chiefs. That military parade happened this time, on Trump’s birthday no less.

Good news from Fix the News (last week’s, they’re taking the rest of December off):

An 18-year-old in Alabama redrew their state’s senate map on free software, and a federal judge adopted it over plans drafted by professional cartographers, fixing a Voting Rights Act violation for nearly 300,000 people.

If you follow the link (to The Guardian), some of the details:

The decision stunned “DD” – an 18-year-old freshman at the University of Alabama named Daniel DiDonato – who learned his map had been selected as he was preparing to leave for his 9.30am introduction to political science class.

“I was absolutely surprised,” he said in an interview. “N​​ow, nearly 300,000 Alabamians will be voting under new district lines that I drew up at two in the morning in a dorm, a cramped dorm study room.”

And an image from my collection:

What’s real and what’s virtual effects?

First, a definition from the article: “The term visual effects (VFX) is often mistakenly used interchangeably with CGI, but the two are distinct. VFX can include CGI, but it also includes other techniques such as matte painting, or compositing different images — sometimes computer-generated, sometimes live-action — together using blue or green screens.”

An interesting and fun look at the VFX in Severance, Wicked: For Good, Avatar, and Jurassic Park Rebirth: https://www.washingtonpost.com/style/interactive/2025/wicked-severance-avatar-jurassic-world-rebirth-cgi-effects/. About 2,700 words.

Good news from Fix the News:

But seriously, what is AI even good for? Is this all just in aid of search summaries and ChatGPT girlfriends? Well, not entirely. Five years of AlphaFold has caused a global shift in how biology is done. Humanity now has a public database of 200 million predicted protein folds used by millions of researchers, faster pathways for drug design, and the tool has been cited in more than 35,000 papers. AI can now predict not just protein structures, but full molecular interactions, accelerating discovery far beyond what labs alone could achieve.

And an image from my collection: