Our intention is to reinvest received token fees in dementia research and its AI costs. Here is what exists today, how the funding could work, and what still needs to be decided.
Policy in preparation · No token launched · No verified income published
WHAT EXISTS / WHAT COMES NEXT
Research is happening. Funding is being prepared.
AVAILABLE NOW
Work you can inspect.
Source-linked literature reports, counterevidence and a published correction review. Scout screens publications and compares abstracts with AI in owner-started tasks. Sources, run receipts and returned provider token counts are recorded.
No connected treasury or verified payment entries have been published. Scout records provider token counts and conservative budget estimates; these are not invoices or proof of token-funded research. Missing financial values are unknown, not zero balances.
Existing research outputs are not proof that token fees funded them. No laboratory experiments, clinical trials or validated discovery by MNEME are claimed.
TOKEN-FUNDED RESEARCH · POLICY IN PREPARATION
Received fees. Visible research spending.
INTENDED PROCESS / NOT CONNECTEDIllustrative flow, not transaction activity
01
Fees received
Record what reaches a disclosed receiving wallet.
Wallet & mechanism pending
02
Funds allocated
Apply a published research allocation policy.
Percentage not decided
03
Costs paid
Document research, AI usage and infrastructure expenses.
No verified entries published
04
Work linked
Connect expenses to dated research tasks and outputs.
Expense-to-output links pending
Our intended use of received token fees is to reinvest in research and its AI costs. The allocation percentage and fee mechanism have not been finalized.
Today, the work is AI-assisted review of existing dementia publications: finding sources, comparing studies, checking counterevidence and writing traceable reports. AI model input/output tokens and research infrastructure are real operating costs; they are distinct from funding laboratory experiments.
Token not launchedFee percentage: not finalizedTreasury: not connectedSpending records: not yet published
We will distinguish fees received, funds allocated, actual payments and verified research outputs. No automatic reinvestment mechanism or on-chain audit is currently connected.
Source retrieval, study comparison, counterevidence checks and versioned reports. This is the current research activity.
AI & operating costs
Scout records model input/output token counts when the provider returns them. A US$100 daily application spending limit controls Scout model calls. This configured limit is not account balance or proof of funding. Estimates are in US dollars and exclude taxes, separate from billed costs; provider invoices and infrastructure expenses are not yet published.
Future validation
Independent expert review and experimental work require separate arrangements and budgets. No laboratory or clinical spending is claimed.
Token fees and AI tokens: what is the difference?
Token trading fees
A potential funding source associated with trading the project’s token. The mechanism and allocation are not finalized.
AI model tokens
Units of model input and output usage that can create provider costs. They are not the project’s cryptocurrency.
Scheduled source screening uses deterministic rules and no model tokens. The separate AI analyst compares abstracts only in owner-started tasks or browser research sessions; it is not continuously active. The US$100 spending limit resets at midnight Europe/Amsterdam, reserves a conservative maximum before each model call, and retains uncertain charges. It does not cap hosting costs or unrelated OpenAI account usage. Inspect AI runs and their recorded usage ↗
DISCLOSURE / EVIDENCE BEFORE TOTALS
Funding records.
Current disclosure status — unavailable values are not zero balances
Item
Verified status
Evidence needed
Fees received
Not connected / not reported
Receiving wallet and transaction references
Research allocation
Percentage not finalized
Dated allocation policy and responsible operator
Research & AI payments
No verified entries published
Payment record or redacted invoice, purpose and linked output
AI token usage
Provider counts recorded when returned; conservative budget accounting
Run records available; provider invoice reconciliation and actual billed costs not yet published
Team token holdings & conflicts
No holdings disclosure published
Relevant holdings and conflicts before launch
There is no connected treasury ledger or automatic fee-routing system. Scout’s daily budget ledger records model-cost reservations and estimates; it does not record token-fee receipts or verified payments.
Receipt → allocation → expense → outputKeep each step separate. Received fees are not the same as money already spent on research.
Document actual costsEach future entry should have date, amount, currency, category, evidence reference and a report or task link. Redact personal billing information.
Disclose governance before launchPublish treasury control, approval responsibility, fee mechanics, team conflicts and any independent review. None is presented as finalized here.
Keep science independent of tradingCommunity suggestions inform the queue. Holdings and price movement do not determine whether a scientific claim is supported.
The project makes no treatment or investment-return promise. No purchase or wallet connection is available on this site.
INSPECT THE WORK · REPORTS, SOURCES & CORRECTIONS
Credibility starts with what you can check.
AI-assisted literature researchSources linkedCounterevidence includedNot independently peer reviewed
R-004 · Literature synthesis · v1.1
Protective cell states
Lipid handling remains a provisional priority. No candidate establishes neuronal protection, tau safety and vascular safety together.
Accountability in practice: we found and reviewed a published correction, updated our interpretation, and kept the earlier version available. Read the correction review ↗
These are reviews of existing studies. MNEME has not performed biological experiments, clinical trials or an independently validated discovery.