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. Tip: click, hold and drag across any spark line to measure the change between two points.
We document the interventions PL R&D runs, then observe how each field changes. The toolkit describes our work; field velocity and inflection points describe the field, not a causal score for PL.
A fixed toolkit we bring to every field. Pick the ones a field is missing, then push.
Fields move with or without PL. We do not claim these interventions directly cause a field to accelerate: field-level attribution is not cleanly identifiable. We name what we run and watch whether the field moves; making that link clearer remains research 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.
Drag to browse past & upcoming editions · click a card to open its impact claim
Field velocity is the rate a field is moving. We read it through five instrument categories, each able to hold multiple field-specific measures, plus dated, falsifiable markers. Not every measure fits every field. Having no single gating cost does not mean there is no capability curve: comparable cost, scale, quality or capability measures can still be tracked. An unpriced milestone has no market signal; missing data is not evidence of no progress.
Stocks are not velocity. Compare annual additions or changes using comparable units, definitions and observation windows; acceleration requires a change in that rate, not just a larger total. Mapped-volume frontiers can measure capability; available data-hours are a data resource stock; cumulative implants are an adoption and commitment stock. They are not all pure performance curves. Keep coverage, quality, access and the observation cutoff explicit before comparing them.
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.