The Laboratory is Open
MENTAT does not gatekeep by credentials, institutional affiliation, or social capital. We gatekeep by one thing only: the quality of your contribution.
A janitor who proves a theorem outranks a professor who publishes noise. An independent researcher working from a public library who bridges two disconnected fields outranks a well-funded lab producing incremental refinements. The narrative strategist who makes a breakthrough accessible to ten thousand people outranks the conference organizer who arranges the seating chart.
We measure what you do, not who you are, where you studied, or who you know. This is not a slogan. It is a protocol requirement.
Two paths. Different kinds of work, not a hierarchy of value. Find yours.
What MENTAT Asks
Your best thinking. Submitted formally, reviewed honestly, attributed immutably. No shortcuts: a claim either survives the verification process or it does not. No social rescue: institutional prestige cannot override a failed proof. No half-measures: every contribution must be clear enough to be evaluated, specific enough to be classified, and original enough to earn its place.
This is hard. It is meant to be hard. The difficulty is the point: it is what makes the attribution worth having.
What MENTAT Gives
Permanent, independently verifiable proof that you did the work. Every accepted contribution receives an IPFS-pinned MENTAT Contribution Record (MCR): timestamped, content-hashed, pinned to decentralized storage that no single party controls. Your MCR is yours. Use it for job applications, grant proposals, academic CVs, client presentations, or anything else where proof of authorship matters. No institution can revise the record. No editor can bury the contribution. No successor can claim the work.
You retain full ownership of your prior intellectual property. The license grant is non-exclusive: you can commercialize, publish, or distribute your own work through any channel without restriction. What you gain is the MCR and membership in a research network where your reputation is built on what you have actually done, not on who you know.
The people responsible for reviewing, classifying, and accepting your contributions.
Richard Goodman
Managing Director, Apoth3osis Labs
System Engineer, Hacker · United States
Lead Architect for the AgentHALO sub-project. Responsible for the trusted agent container layer: sovereign identity, post-quantum cryptography, NucleusDB, formal verification infrastructure, and the cockpit orchestration system.
Francisco Angulo de Lafuente
Lead Architect, P2PCLAW
Independent AI Researcher · Madrid, Spain
Winner of the NVIDIA and LlamaIndex 2024 Developer Contest for the Enhanced Unified Holographic Neural Network (EUHNN). Research spans neuromorphic computing, hardware-bound cryptography, holographic neural networks, and ASIC-based security systems.
“The hemispheres don’t differ in what they do, but in how they attend.” After McGilchrist, the two tracks represent complementary modes of contribution — not a hierarchy of value. The right hemisphere sees wholes; the left hemisphere analyzes parts. Both are involved in everything. The health of the system depends on their balance.
REACH · MEANING · DIRECTION
A proof that nobody reads changes nothing. A discovery that cannot be communicated is not yet a contribution to human knowledge. A system without ethical review will eventually betray its users. Eight designations covering the full spectrum of right-hemispheric contribution — strategic, communicative, aesthetic, pedagogical, social, diplomatic, translational, and evaluative.
Roadmap contributions, architectural vision, ecosystem analysis, partnership identification. Where should MENTAT go next?
MATH · SCIENCE · ENGINEERING
A formalized ratchet of left-hemispheric contribution where each designation represents a distinct kind of increasingly verifiable intellectual work. From a conceptual framing requiring only clarity of thought, to a machine-verified proof that passes the full verification pipeline — schema validation, proof hygiene scan, type-checking, and semantic audit confirming the theorem actually corresponds to what’s claimed.
A valid, original framing, conjecture, design sketch, or research direction. Clarity of thought, not execution.
Mathematical or logical development with paper-level rigor. Coherent formal argument, definitions, and claims.
The step from Idea to Theory is the step from "what if" to "here is why."
References quantifiable external evidence — benchmarks, datasets, empirical measurements, real-world integrations.
The step from Theory to Application is the step from "here is why" to "here is where it touches reality."
Source code contributions — libraries, tools, algorithms, utilities, or infrastructure code that the project uses and depends on.
The step from Application to Code is the step from "here is where it touches reality" to "here it is, running."
Personally conducted, reproducible results. Methodology, raw data, analysis, and conclusions.
The step from Code to Experiment is the step from "here it is running" to "here is what happens when we test it."
Formally checked by a proof assistant (Lean 4, Coq, Isabelle). Full verification pipeline. Carries verification metadata.
MACHINE-VERIFIEDThe step from Experiment to Proof is the step from "we tested it and it works" to "it is mathematically impossible for it not to work."
Foundational implementation code the project depends on. Tests, documentation, and integration evidence required.
LOAD-BEARINGThe step from Proof to Kernel is the step from "we proved it" to "we built the system that runs on it."
Connects subsystems, contribution types, or knowledge domains. Makes the system coherent.
CROSS-SYSTEMBridges are the ratchet clicks that turn isolated contributions into architecture.
Contributors may hold designations from both hemispheres — the corpus callosum connects. Every designation receives the same MCR treatment: IPFS-pinned, timestamp-anchored, independently verifiable. PROOF, KERNEL, CODE, and BRIDGE designations carry additional machine-generated verification metadata because the work is machine-checkable — this reflects the nature of the work, not its relative importance.
This is hard. It is meant to be hard. The difficulty is the point: it is what makes your contribution worth having and your attribution worth keeping.
All are welcome. Your worth is measured by what compiles.