Scaling AI Is a Physical Problem.
Scaling AI isn’t a software story. It’s an industrial build constrained by power, transformers, cooling, and time-to-build.
Infrastructure, materials, and the physical constraints behind modern systems.
Scaling AI isn’t a software story. It’s an industrial build constrained by power, transformers, cooling, and time-to-build.
In 1587, Queen Elizabeth I’s spymaster, Francis Walsingham, achieved one of the great coups in the history of espionage. Using little more than intercepted letters, ciphers, and the occasional tortured confession, Walsingham exposed the Babington Plot, a conspiracy to assassinate Elizabeth and place Mary, Queen of Scots, on the throne. Walsingham's reward? Eternal gratitude from the queen, the continued survival of Protestant England—and, one imagines, the sort of satisfaction that only comes from outwitting murderous aristocrats. His tools were crude, but his mission was clear: decode the enemy before they destroy you.
There’s something delightful about a book that takes a subject as unsexy as “why stuff doesn’t fall over” and manages to make it both fascinating and, dare I say, funny. J.E. Gordon’s Structures: Or Why Things Don’t Fall Down is that rare sort of book—one that sneaks into your brain disguised as entertainment but leaves you a bit smarter, slightly smugger, and much more suspicious of bridges.