LeResearch · 501(c)(3) in formation

A small contribution

to the silos's fall.

A small team doing careful, open, cross-disciplinary research on problems where the inherited frame is part of the problem. Environmental systems, household nutrition, learning frontends, and the epistemic ecology of AI-mediated knowledge — the domain is not fixed, the method is.

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Recently

What just landed.

The latest pages, in reverse chronological order. Each one references an existing track and a set of cross-cutting topics — tap either to browse along that axis.

  1. 09
    /open-models

    There is no AI · a living map of open-source models

    A living map of the open-source AI ecosystem. Six modalities, twenty organizations across four continents, license decoder, benchmark spread — updated when the leaderboards move.

    MonocultureEpistemicsCalcified frames
    AI
  2. 08
    /topics

    Browse by concept — the conceptual axis

    New conceptual axis. Browse the back-catalog by capacity, normalization, labor, monoculture, surveillance — instead of by section.

  3. 07
    /tracks

    Five substrates of inquiry

    Per-track pages now derive from the registry. Each substrate lists every page tagged into it.

  4. 06
    /cases

    Documented cases triangulating §1/§4/§7 against the public record

    Documented worked cases triangulating §1, §4, and §7 against the public record — not against any participant's account.

    Discourse displacementMirror failureCapacity
    AILearning
  5. 05
    /threads/zuboff

    Zuboff · the age of surveillance capitalism

    Surveillance capitalism, behavioral surplus, and what the framework borrows + sets aside.

    SurveillanceLaborEpistemics
    AI
  6. 04
    /threads/castoriadis

    Castoriadis · the social imaginary

    The substrate beneath §3 — instituted vs. instituting society, with the imaginary as the layer the rules breathe.

    Imagined ordersCalcified framesNormalization
    Methodology
  7. 03
    /investigations/ai-discourse/real-problem

    Act IV — The real problem: discourse-displacement thesis.

    Act IV — the discourse-displacement thesis: doom and hype both crowd out the harms with names, dates, and victims.

    Discourse displacementLaborSurveillance
    AI
  8. 02
    /investigations/ai-discourse/environment

    Act II — How big is the actual environmental footprint?

    Act II — a Gemini prompt is 0.24 Wh; a steak is ~570× a heavy user's yearly chatbot footprint. The actual lever is hyperscaler capex.

    Discourse displacement
    AIAquifers
  9. 01
    /thesis

    The thesis · 14 sections, 8 SVGs

    The full thesis — fourteen sections, eight diagrams, the integrating frame the rest of the site references.

    CapacityCalcified framesNormalization
    AILearningMethodology
Why a separate nonprofit

Research on epistemic hygiene isn't a product requirement that resolves in eighteen months.

AI broke the silos open. It also compressed them into one confident-sounding voice, trained on a record weighted by whichever paradigm got to decide what deserved to be written. The compression layer is commercially governed and silently versioned. The answer returned today is not the answer that would have been returned last quarter, and the people using the model typically do not know.

If a society routes its default truth-formation through a small number of privately-governed, silently-versioned models, the capacity for collective error-correction gets thinner. The early sign is not obvious collapse — it's that disagreement starts to feel eccentric rather than ordinary, and “the AI says” replaces “science says” as the argument-ender.

LeResearch exists to hold that tension — slow, unresolved, across substrates no product roadmap would fund. It is the other half of the LeDesign thesis, made legal.

Research tracks

Five substrates the silo-collapse thesis is being tested on.

Each track is a domain where the inherited frame is part of the problem. Tracks can be added, merged, or retired by the board when a substrate genuinely fits the thesis. The method is the constant; the substrates are not.

01

Environmental systems + open data infrastructure

Active

Community-operated monitoring + harmonized open datasets + physics-informed AI for environmental systems.

Starting with the Memphis Sand Aquifer: an open IoT sensor network, a 30-source harmonized canonical dataset, and a physics-informed graph-attention architecture with aquifer-unit priors. The drilled substrate already exists — 4,257 wells in the metro, fewer than 53 streamed continuously in the open. What's missing is the open monitoring layer.

02

Household-scale food + nutrition systems

Forming

Small-footprint, automated indoor food production; reframing what "required" nutrition means under longitudinal household evidence.

Not agriculture, not industrial kitchens — a research substrate at the scale of a family. What can be grown, at what nutritional yield, under what automation, in a spare room or a balcony? And what does a measured self-sufficiency layer change about resilience, nutrition, and the political economy of food access? Outputs: open-hardware designs, measured yields, and evidence-informed reframing of inherited nutrition defaults.

03

Plural frontends for expert knowledge

Active

Research into how adaptive, multi-modal, multi-depth, multilingual interfaces change who can access expert knowledge.

The frontend of learning has always been the constraint — not intelligence, not effort, not the availability of knowledge. Post-industrial schooling built one linear filter and called those who fit it "smart." This track tests whether building the plural frontend changes the distribution of who can learn, measured honestly. The Echo-family products (Tales, Learn, Birds) are the current test substrates.

04

Epistemic ecology under AI-mediated knowledge

Forming

How does a society retain the capacity for collective error-correction when the dominant knowledge frontend is commercially governed and silently versioned?

Two levels. Engineering: confidence tags, citation binding, refusal-to-fabricate, red-team transcripts — patterns that keep AI systems honest about uncertainty. Ecological: longitudinal observatories of production-model drift, provenance layers for AI-mediated claims, methods for preserving diversity-of-error. This is the track that makes LeResearch worth existing as a distinct entity.

05

Cross-substrate methodology transfer

Target

What an insight from one substrate teaches us about another. The track that keeps LeResearch coherent.

The silo-collapse thesis applied to LeResearch itself. Methodology papers, pattern libraries, annual cross-substrate meetups, annotated comparisons of the same methods across different fields. If the thesis is that domains connect, this track is the receipts.

Current initiatives

What LeResearch operates today.

The Echo-family of narrative-first learning products, the Rethinking Education research framework that grounds them, and a gift-work platform for Protect Our Aquifer built on public data alone. Echo products are currently migrating their legal home from LeDesign LLC to LeResearch — URLs will transition as the nonprofit is stood up.

Founding state

Where we are right now.

Legal formation
501(c)(3) in formation
Charter drafted. Next steps: founding board, incorporation (state TBD), IRS Form 1023, fiscal sponsorship during the determination wait.
Sibling entity
LeDesign LLC (LeDesign.ai)
The commercial home for the Le-family products — LeJustice, LeCivil, LeContain, LeMonitor, LePulse. Arms-length, competitively-sourced cross-contracts; principle 3.5 with an accountable address.
Openness commitments
MIT · Apache 2.0 · CC-BY 4.0 · CERN-OHL-S v2 · Open Access
Every artifact produced under LeResearch grants ships open-licensed — software, AI components, data, hardware, publications. No paywalled, non-open, or proprietary outputs.
Governance
Small founding board, scientific-fit over fundraising-optics
Written policy distinguishes substantive scientific disagreement (welcomed) from risk-averse veto (checked by the charter). Executive authority clearly delegated. Term limits force refresh.
How to reach us

Pre-launch. If you're a potential collaborator, funder, or board candidate whose substantive work overlaps any of the tracks above, email hello@leresearch.org. Everything substantive about how this was designed lives in public at the founding docs.

LeResearch
A small contribution to the silos's fall.
© 2026 LeResearch (501(c)(3) in formation). Content under CC-BY 4.0 unless otherwise noted.