In 1869, a group of Massachusetts reformers persuaded the state to try a simple idea: counting.
The Second Industrial Revolution was belching its way through New England, teaching mill and factory owners a lesson most M.B.A. students now learn in their first semester: that efficiency gains tend to come from somewhere, and that somewhere is usually somebody else. The new machines weren’t just spinning cotton or shaping steel. They were operating at speeds that the human body—an elegant piece of engineering designed over millions of years for entirely different purposes—simply wasn’t built to match. The owners knew this, just as they knew that there’s a limit to how much misery people are willing to tolerate before they start setting fire to things.
Still, the machines pressed on.
So Massachusetts created the nation’s first Bureau of Statistics of Labor, hoping that data might accomplish what conscience could not. By measuring work hours, conditions, wages, and what economists now call “negative externalities” but were then called “children’s arms torn off,” policy makers figured they might be able to produce reasonably fair outcomes for everyone. Or, if you’re a bit more cynical, a sustainable level of exploitation. A few years later, with federal troops shooting at striking railroad workers and wealthy citizens funding private armories—leading indicators that things in your society aren’t going great—Congress decided that this idea might be worth trying at scale and created the Bureau of Labor Statistics.
Measurement doesn’t abolish injustice; it rarely even settles arguments. But the act of counting—of trying to see clearly, of committing the government to a shared set of facts—signals an intention to be fair, or at least to be caught trying. Over time, that intention matters. It’s one way a republic earns the right to be believed in.
this post was submitted on 10 Feb 2026
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Now. It won't stay that way for much longer.
LLMs have already peaked, from what I can tell. The technology doesn't really solve many problems, and doesn't actually save anybody work. AI agents can't be trusted with things like credit card numbers and admin privileges. Google's search AI gives me at least one incorrect detail in every query I submit
Moreover, the companies creating the models need ever more cash to keep training them. They have no path to profitability but keep demanding more money from VC firms.
Deepseek (and probably Google) will be the winner in all of the coming turmoil. Deepseek isn't going to replace any workers and neither is Google.