This is the appendix, not the headline: the review of his own site is the point of the package; this is the reason we bothered writing it in the first place. Ecological restoration is the least legible, least priced, least agent-tractable category of real-world labor on Earth, not because the science is missing but because nothing settles it the way markets settle compute. Below is the long version of that case, plus a careful structural argument for why his own physics is why we thought he'd want to see it.
Compute became legible, priceable, and settleable to machines over about two decades: metered by the second, priced by the token, paid by an API call, verified by a receipt. Ecological restoration labor, the soil test, the wetland survey, the weatherization retrofit, the biodiversity count, the LBC-anchored building audit, has none of that. The science is mature (MRV methodologies, the Living Building Challenge, the UN SDGs, Michelin-grade food-system criteria are all real, working standards). What's missing is the accounting and settlement layer underneath: something that takes a specific physical action, in a specific place, done by a specific person or agent, proves it happened, and pays for it, the same shape as a cloud-compute invoice, applied to a shovel instead of a GPU.
That's the moonshot: make ecological work as fungible to an economy of AI agents as compute already is. Not a marketplace UI, not a carbon-offset marketing site: a protocol, immutable and neutral enough that any agent, anywhere, can trust it the way it trusts a stock exchange's settlement rules.
The Ecological Work Protocol (EWP) is a smart contract plus an API in front of a library of standards-anchored work definitions. The lifecycle is fixed and on-chain:
A place + a problem (a contaminated well, an under-insulated home, a degraded wetland) is matched deterministically against a library of 13,886 ecological work definitions (16 Jul 2026 snapshot; growing daily) (plus a separate 68-definition health library), each one carrying its funding path, its proof requirements, and its settlement path: no LLM in the matching step, so the packet a caller gets back is reproducible, not a hallucination. A worker (human or agent) claims it, does the work, and submits photo + GPS + signature proof: checked programmatically against the work-site radius before a wage can move. A creator approves, the wage settles on-chain in USDC or USDG, and the settlement is recorded with an on-chain quality score, building a reputation history rebuildable from event logs alone.
Library count and value pulled live from ecological-work-library-v1.json at the time this brief was written (2026-07-16), it changes as the library grows; treat it as a snapshot, not a fixed number. It grew from 10,786 to 13,886 definitions (+3,100) in the week before this brief, via autonomous "surge" authoring waves, cited for velocity, not as a claim of permanence.
This is not a testnet demo. EWP is deployed, with the audited source fully verified, on two independent settlement chains: with the work library itself anchored on a third, Regen Ledger (regen-1):
| Network | Contract | Status | First settled packet |
|---|---|---|---|
| Base mainnet (chainId 8453) | 0x76c17C51336BE7B39F5164802e08b9811477A14B | Source-verified (Basescan/Etherscan V2 API), unpaused | workId 14, 2026-07-07: full 6-tx lifecycle, wage 0.50 USDC |
| Robinhood Chain mainnet (chainId 4663) | 0x5cB9ae2E3470B9E8f1aa4C071Db7ce6377061a9F | Byte-identical audited bytecode (keccak-matched to Base), source-verified (Blockscout), unpaused | workId 1, 2026-07-15: full 6-tx lifecycle, wage 0.10 USDG |
The $EWP token (0xe3735Bc87b9E17426051dCf4319cDb14e6B65Ba3) launched alongside the Robinhood deployment: 100 billion fixed supply, 85% into a Uniswap V4 pool, 15% vesting over two years with a 30-day cliff, 95% of swap fees routed to treasury. Utility shipped before the token, deliberately: the contract deployed, verified, unpaused, and settled a real packet first; the token came after, not instead of.
Six endpoints in the Work Protocol family speak the standard x402 protocol, the same convention Coinbase and Stripe back, using USDC's native EIP-3009 "exact" scheme (a gasless, off-chain-signed transfer authorization) rather than a bespoke payment door. That means any agent holding a Base wallet can pay and receive a real artifact in one HTTP round trip, with no account, no API key issued by us, and no facilitator dependency, we self-settle the payment.
| Endpoint | Price | Returns |
|---|---|---|
work-packet | $0.10 | A bounded ecological work packet: matched definition, method, proof requirements, funding + settlement path |
health-packet | $0.05 | Same engine over the 68-definition health library (non-medical, routes to a licensed clinician) |
lbc-building-scan | $0.01 | 7-petal Living Building Challenge scorecard, deterministic |
michelin-score | $0.005 | 7-criterion food-system score + Green Star eligibility |
sdg-assessment | $0.02 | Per-SDG methodology object + MRV scaffold |
settlement-attest | $0.01 | On-chain attestation that a specific settlement tx succeeded |
The full request shape and a runnable example are in the agent kit: built specifically so a PSI, 021T, or Reified researcher's agent could call it without reading our source first.
A share of settled work retires real carbon credits: not a pledge, an hourly, gas-gated cron that calls Klima Protocol's gasless relay (quote → prepare-auth → EIP-712 sign → retire, hard-capped at $0.25 per call) and, separately, the on-chain Retirement Aggregator directly (retireCreditViaKlima). Every retirement resolves to a public Carbonmark certificate. EcoWealth reviewed Klima/Carbonmark's own agent-facing surface independently as part of this same evidence-first practice: our production code (scripts/lib/klima-relay-retire.ts, scripts/lib/retire-via-klima.ts) is the thing that actually calls those endpoints in production, not a hypothetical integration.
v0.x402.klimalabs.com/api) + Retirement Aggregator on Base (retireCreditViaKlima, 0xda0a793d7c32ab80bcdab7f8c725c96db22464f4), running hourly on a gas-gated cron, resolving to a public Carbonmark certificate per retirement.Your 2013 Physical Review Letters paper with C. E. Freer, "Causal entropic forces" (110, 168702), formalized a precise physical claim: agent-like, intelligent-seeming behavior can arise from a system following the gradient of causal path entropy: steering toward states from which the widest possible range of futures remains reachable within a finite horizon T. Your TED talk the same year, "A new equation for intelligence" (TED/TEDxBeaconStreet, Nov 17 2013, over 2 million views across 27 languages per your own site), put the plain-language version in front of a mass audience: intelligence as the drive to keep options open, to maximize future freedom of action. And it isn't only an abstraction for you, you hold a 2012 patent literally titled "Causal entropy engine" (US Provisional 61/738,573), and a separate 2014 patent, "Environmental footprint monitor for computer networks" (US 8,862,721 B2), that measures a system's environmental footprint directly. The same mind built both: the theory of option-maximization and a tool for measuring environmental state.
Here is the structural claim, stated as carefully as we can: ecological degradation is a measurable reduction in a system's accessible future-state space, and verified ecological restoration is the same operation your equation describes: applied to a physical system instead of an abstract agent. A contaminated aquifer, a paved floodplain, a monoculture field, a collapsed reef each have fewer reachable future configurations than their restored counterparts: less resilience to shocks, fewer species, fewer viable human uses, fewer options for whoever depends on that system next. A soil test, a wetland restoration, a weatherization retrofit, a habitat survey that leads to real intervention: each one is a specific, provable action that reopens part of that lost option space.
| Your result | Intelligent behavior emerges from maximizing causal path entropy: the diversity of futures reachable within a horizon T. |
| Structural mapping | Ecological restoration measurably increases a system's reachable future-state space: resilience, biodiversity, viable human use. |
| What was missing | Not the science (MRV, LBC, SDGs are mature): a settlement layer that prices and pays for the specific physical action, the way compute markets price the specific computational action. |
| What EWP is | That settlement layer: post → claim → prove → approve → pay → settle → retire, on-chain, for the labor of expanding a biosphere's future option space. |
The honest boundary: this is an interpretive, structural resonance, a frame we think is rigorous enough to be worth your reaction, not a claim that we have measured causal path entropy in an ecosystem, extended your mathematical result, or that EWP's pricing model derives from your equation. If the frame doesn't hold up under your own scrutiny, we'd genuinely want to know why; that's a more useful reply than silence.
The causal-entropy resonance above is the umbrella case. Digested further, your own corpus turns out to hold a distinct thread for each of the three external standards EWP's library is anchored on, the Living Building Challenge (built environment), Michelin-grade food-system craft, and the UN SDGs (ecological restoration). Not a rhetorical stretch: each mapping below cites a specific paper or patent of yours, states the structural claim plainly, and links to a live-counted slice of the library plus the paid endpoint that scores it, the same discipline as the resonance section, applied three more times.
Your 2010 paper with Chip Freer, "Relativistic statistical arbitrage" (Physical Review E 82, 056104), proved something specific: once trading latencies fall below the light-propagation delay between exchanges, there exist optimal physical locations from which to coordinate arbitrage between geographically separated markets, and you calculated a representative map of them. The paper's own abstract states it plainly: "there exist optimal locations from which to coordinate the statistical arbitrage of pairs of spacelike separated securities." Computation, in other words, has a geography, and you proved it has an optimum.
The Living Building Challenge's Place petal makes the same claim about buildings: a project must work with its specific site (its watershed, its habitat, its urban growth boundary), not against it; nothing about a compliant building is fungible across geography. EWP encodes this as a data type, not a value statement: every one of its 13,886 work definitions (16 Jul 2026 snapshot) carries a location object (lat, lng, radiusKm), and no wage moves until submitted GPS proof falls inside that exact radius. It's the same structural move as your 2010 result, optimal, verified coordination anchored to physical location, run at the level of an individual restoration or retrofit packet instead of a trading desk.
standard/standard_ref fields, reproducible: python3 -c "import json,re; d=json.load(open('data/work-definitions/ecological-work-library-v1.json')); print(sum(1 for x in d['definitions'] if re.search(r'LBC|Living Building Challenge', x.get('standard','')+x.get('standard_ref',''), re.I)))". Paid endpoint (cited in §4): lbc-building-scan, $0.01, a deterministic 7-petal scorecard.Your 2014 patent with Thomas Sullivan, "Environmental footprint monitor for computer networks" (US 8,862,721 B2), is a literal measurement instrument: a system that calculates the environmental footprint of a website from time data and the average emissions of the user terminal, the hosting server, and the connecting network, per Google Patents' own independent description of it, not our paraphrase. Years before "carbon accounting" was a category, you'd already patented the metering layer for it.
EWP is the same category of instrument, aimed at the physical world instead of network traffic, wired directly to a payment: every settlement requires photo + GPS + signature proof, computes a tCO2e figure where applicable, and, for the ecological share of settled work, retires a real carbon credit through Klima Protocol's relay, hourly, gas-gated, resolving to a public Carbonmark certificate (§5). Your patent measures; EWP measures and settles: the wage only moves because the measurement checked out.
standard_ref (e.g. "SDG 6.1 safely managed drinking water," "SDG 15.3 land degradation neutrality"), reproducible: python3 -c "import json,re; d=json.load(open('data/work-definitions/ecological-work-library-v1.json')); print(sum(1 for x in d['definitions'] if re.search(r'\bSDG\b', x.get('standard_ref',''))))". Paid endpoint (cited in §4): sdg-assessment, $0.02, a per-SDG methodology object with an MRV scaffold. Retirement rail cited in §5.Reapplying the causal-entropy frame from §6 to one domain specifically: a monoculture field has a measurably smaller reachable future-state space than a regenerative polyculture system, thinner soil carbon, higher pest vulnerability, one buyer, one season, fewer viable futures for whoever farms it next. A resilient food system, like a resilient agent, keeps more of its future options open. Michelin's own Green Star criteria (sourcing, waste, energy, water, procurement, seasonality, team) is, read plainly, a future-option-space scorecard for a kitchen's entire supply chain, not just a taste standard.
EWP's food-lane definitions score exactly that 7-criterion shape (the library's own food_sustainability standard entry cites it directly: "Michelin Green Star-style 7-criterion scorecard"), funded, proof-verified, and settled the same way as every other packet.
python3 -c "import json,re; d=json.load(open('data/work-definitions/ecological-work-library-v1.json')); print(sum(1 for x in d['definitions'] if re.search(r'michelin', x.get('standard','')+x.get('standard_ref',''), re.I)))". Paid endpoint (cited in §4): michelin-score, $0.005, a 7-criterion score + Green Star eligibility check.All three counts and the board figures throughout this brief were re-verified live on 2026-07-16 directly against the repo file and a fresh eth_call to paused() on the Base contract (returned false): not carried over from an earlier draft.
Your own homepage lists the network this reaches: Physical Superintelligence (PSI), a team with roots at Google, OpenAI, Harvard, Meta, NVIDIA, MIT, Stanford, Oxford, Johns Hopkins, Cambridge, the Institute for Advanced Study, and the Perimeter Institute, per PSI's own site, plus 40+ companies backed and advised through 021T and Reified, and the Moonshots audience. Three concrete, non-generic ideas:
PSI has already open-sourced Get Physics Done (GPD), an AI copilot for physicists, on GitHub. A GPD extension (or any PSI researcher's agent) could call the work-packet endpoint directly: e.g. turning a lab's real environmental-footprint question into a funded, proof-verified, settled EWP packet, using PSI's own "verifiably, for broad public benefit" language as the actual mechanism, not just the mission statement.
Any of the 40+ companies backed or advised through your two vehicles that touches physical infrastructure, construction, food systems, or environmental compliance has a direct, no-integration-required path: post a real project through EWP's three standards (LBC/Michelin/SDG), get it funded and proof-verified, settle it on-chain. The protocol is domain-agnostic by design: boxed so any outside team can stand up the same machine without re-learning what we learned.
The gap this fills, real physical labor with no settlement layer, is exactly the kind of concrete, receipted moonshot your own audience of 100,000+ daily readers responds to when the alternative is another climate-tech deck with no on-chain proof behind it.
You already saw the findings in the review: repeated here for completeness, since this appendix should stand on its own too. The same measured, credit-first discipline used throughout this brief was pointed at alexwg.org itself: not to critique the work (the work is the reason this whole package exists), but the site holding it. Five things it already gets right (an honest 5-second-test-passing bio, true 404s with no soft-404 deception, a working newsletter RSS feed, 284 working press links across 216 outlets by our own count). Five things we measured that are costing him quietly on phones and with agents: starting with a real, reproducible one: on a 390px-wide mobile viewport, his homepage reports window.innerWidth = 980 and visualViewport.scale = 0.398, because no page ships a <meta name="viewport"> tag. Full findings, a worked JSON-LD example per publication, and a concept llms.txt draft are in the dedicated page linked below: measured, cited, labeled concept where it's a concept.
