There is no animal more important to the ascendancy of Western Civilization than the horse, and no invention more important than the horse collar. After all nothing shapes history like advances in productivity. Part 3 of Ben’s Notes from the Field series here.
Programmable money, ImageNet: the data that changed AI research, Auto Public Offerings and the paradox of historical knowledge.
Back by popular demand, it’s the Epsilon Theory Mailbag! Today’s edition covers notes from the past two months including “Tell My Horse”, “Post-Fed Follow-Up”, “Notes…
Part 1 of this note highlighted the supremacy of the risk decision in portfolio construction. In this follow-up, Rusty observes that many investors may be assuming that the natural risk of asset classes is “right” for them.
Massively complex complexes of algorithms, AI vs. human performance, the Alpha male brain switch and explaining vs. understanding.
On episode 23 of the Epsilon Theory podcast, we’ve assembled the all-star team — Jeremy Radcliffe (Salient’s President), Rusty Guinn (Salient’s EVP of Asset Management), Neville Crawley (Founder & CEO of Engram Labs) and of course, Dr. Ben Hunt — to discuss whether we are at the inflection point when the proverbial punch bowl is taken away, and, as investors, what we do now.
The question isn’t whether the barge of monetary policy has turned around and embarked on a tightening course — it has — the question is how fast that barge is going to move AND whether or not the market pays more attention to the actual barge movements than what the barge captain says.
One model to learn them all, semantic scholars, AI is/isn’t taking over the world, and autonomous learning investment strategies.
Part 2 of Ben’s Notes from the Field series, in which he considers the question: what can a bird teach us about value investing? To everything there is a season.
What does farming have to do with investing? Quite a lot, actually. In this first of a series that takes on a life of its own, Ben discusses bees and bonds, eggs and ETFs, and more.