We back fields we think are ready to move, then check whether they do. Field velocity is that rate of change: how fast talent enters, capital forms, tool costs fall, and output ships. Inflection points are one of the markers we read: dated, falsifiable shifts an accelerating field should produce.
We measure velocity the same way we do the work: as a research program. Whether field acceleration works is itself the open question, tested across all four focus areas.
Learn more about our methodologyPick a focus area. The summary above reads that field’s velocity across the instruments that apply to it; the inflection points below are the specific markers we track, each with its live signal.
The method is the meta-research design of how we do field acceleration. We name the interventions we run, then read field velocity as the result. Same design, every focus area.
A fixed toolkit we bring to every field. Pick the ones a field is missing, then push.
We don’t claim these interventions directly cause a field to accelerate: attribution at the field level isn’t cleanly identifiable. For now we name what we run and watch whether the field moves; making that link clearer is work we intend to do, and to publish here later.
The interventions are the input. Field velocity, the rate a field is moving, is what tells us whether they landed. We read it through five instruments, plus the dated markers we track.
Not every instrument fits every field. A field with no single gating unit cost has no performance curve to read, and a field no forecast market has priced has no market signal. We show the instruments that apply and name the ones that do not.
These instruments read the research and capital sides of a field. They do not observe invention directly: prototypes, designs, datasets, and negative results largely lack identifiers to count. Closing that gap is itself part of the work.
A hypercert is a verifiable, evolving record of impactful work — what was done, by whom, and where. Each Research Retreat edition is published as one on open infrastructure PL R&D helped originate. Open a card to walk its evidence timeline.
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