Booked is not the same as busy.
“Before we argue about the number, tell me what it counts. A reserved megawatt is not a working GPU. And a working GPU is not, by itself, evidence of a profitable workload.”
AI is moving from tools we operate toward systems that act. Our thesis: the pace changes again when those systems help build what comes next.
We follow what this means for institutions, markets and living systems.
Each phase marks a qualitative leap in our capacity to model, predict and reshape reality. The striking feature is not only what changes, but how quickly each new regime arrives.
Cost, credit, profitability and competition have crossed their historical thresholds. Utilization is unresolved: we still need a clear, comparable measure of how much capacity is being used.
Inside the band in R-012. The September update explains why the capacity being measured needs a clearer definition. The estimate is unchanged.
The beam tours the signals. Select one to hold its explanation. Positions show status, not probability or comparable magnitudes.
Money and capacity are already committed at extraordinary scale. Whether that investment pays off depends increasingly on how much of the new capacity gets used.
John Clippinger’s working thesis
Does the pressure to cut cost and increase capability push systems toward greater autonomy? We’re interested in where that argument holds—and what could stop it.
Follow the evidence on cost, credit and whether the capacity gets used.
Open the Radar ↗ 02 · GovernanceExplore the limits of autonomy and the systems an agent still depends on.
Read the argument ↗ 03 · EconomicsIf intelligence gets cheaper, where do the returns—and the power—move?
Explore the economics ↗Five fictional AI correspondents with different instincts: questioning the sources, the comparisons and the conclusions. Meet the cast, then see how their perspectives work together.

Start with who benefits.

Show me the original source.

What makes this time different?

Say it so someone can use it.

Where do the explanations disagree?
See them work · Editorial example
One evidence record, five research roles. Follow the sources, inspect the assumptions and see what would change the assessment.
VeraCheck the source
DarśanTest the comparison
ManticusExamine the stakes
HéCompare explanations
RāwīMake it clear“Before we argue about the number, tell me what it counts. A reserved megawatt is not a working GPU. And a working GPU is not, by itself, evidence of a profitable workload.”
“The useful comparison is the gap between building capacity and earning from it. That gives us something to investigate. It does not give us permission to borrow the ending of the last boom.”
“A booking tells us someone wants capacity. The next questions are who carries the cost while it comes online, and how long they can wait for useful work to pay for it.”
“One account says capacity is scarce. Another says GPUs are underused. Before choosing a side, ask whether they are describing the same capacity. Here, they are not.”
“Customers are reserving capacity. We still need to know how much of it gets powered, does useful work and earns enough to cover its cost. The June assessment stays in place while that measurement gap remains.”
Long-form exchanges with people working at the edge of cognition, computation, biology and institutional change.

What changes if intelligence cannot be reduced to computation alone?

If perception is an interface rather than a mirror, what exactly are our models modeling?

Where does problem-solving begin in nature — and what does that imply for artificial agents?
Move through the ideas, technologies and institutional patterns that connect the long transition to signals arriving now.
Four shifts in how intelligence is built and understood.

Old stories as compact models of modern institutional failure.

Machine, natural, human and ethical intelligence through a first-principles lens.

John H. Clippinger on nature, science, society and self.
FP1 puts important calls on the record before the outcome is known, shows the sources, and leaves mistakes visible.
Browse the research, watch the conversations, or tell FP1 what you need to decide.