Seeing Like A State is the book G.K. Chesterton would have written if he had gone into economic history instead of literature. Since he didn't, James Scott had to write it a century later. The wait was worth it.
SSC review of Scott's book on high-modernist state planning; opening verdict.
Redwood is a nonprofit working on controlling AIs (eg keeping them in a very well-made box that they actually can't get out of). They have some of the smartest researchers not affiliated with a big lab, and so some of the savviest AI commentary available to the public.
Scott Alexander's own recommendation blurb for the newsletter Redwood Research blog, on their Substack's recommendations page.
Dean is a former White House AI policymaker and current OpenAI strategist. His blog is a good source for explanations and opinions of current AI policy, though he has yet to fully shake off his libertarian sympathies.
Scott Alexander's own recommendation blurb for the newsletter Hyperdimensional, on their Substack's recommendations page.
Peter Wildeford is the winner of ACX's annual superforecasting contest; he currently works for a think tank trying to (among other things) get the US to stop leaking AI technology to China. I use him as a source of ultra-high-quality geopolitical forecasts.
Scott Alexander's own recommendation blurb for the newsletter The Power Law, on their Substack's recommendations page.
So, if you're looking for an easy way to quit the junk food and try a low-variety diet that's unlikely to injure your hypothalamus, I recommend MealSquares as worth a look.
At the end of his review of The Hungry Brain he recommends MealSquares, which he states in the same paragraph is Slate Star Codex's first and most loyal sponsor.
But I highly recommend Albion's Seed as an entertaining and enlightening work of historical scholarship which will be absolutely delightful if you don't fret too much over all of the existential questions it raises.
Long SSC review of Fischer's history of the four British folk migrations to America, ending with his own verdict.
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
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The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:
Hardware, services4 years
Software5 years
Podcasts, courses, other8 years
Books25 years
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.