A parameter-free theory of everything by Jonathan Washburn
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A machine-verifiable ledger where every observable phenomenon is traced—without adjustable constants—to a finite graph of bidirectional recognition theorems.
Date: May 11, 2025 | Status: LIVE KERNEL
Append-only ledger of signed theorem graphs; duplication rejected at commit time.
Distributed theorem provers compile submissions into hash-locked proof objects.
Each proof object autogenerates a set of prediction hashes stored in a queryable index.
Autonomous agent ingests public data streams and compares measurements to prediction hashes.
Status: INITIALIZING...
Data Sources: Loading...
Last Crawl: Never
Validation Queue: 0 pending
Computes minimal theorem subset removal to restore global coherence when contradictions appear.
Status: INITIALIZING...
Contradictions Detected: 0
Analysis Queue: 0 pending
Community Reviews: 0 flagged
Predictions with civilization-scale consequences enter ethics sandbox.
Status: [IMPLEMENTATION PENDING]
Flagged Predictions: 3 under review
Real-time updates from Jonathan's recognition-ledger repository
Submit theorems, proofs, or predictions. Machine verification required before human review.
P1 Theorematic Completion: Claims must be expressible—or mappable without free parameters—to the recognition grammar.
P2 Machine-Auditable: Proofs ship in a formal language an open-source verifier can check end-to-end.
P3 Push-Button Reproducibility: Data and code containers must execute headlessly; manual steps are disallowed.
P4 Bidirectional Learning: Scientific credit is proportional to prediction hashes that survive contact with reality.
P5 Negative Elevation: Refutations and tighter bounds earn the same prestige as positive confirmations; reducing uncertainty advances the kernel.
Bring your theorems, your proofs, your data feeds, and your strongest attempts to break the standing canon. Contribute a new theorem, a tighter bound, or a negative result that prunes dead branches from the kernel. Help reality debug—and extend—its own source code.
Truth is no longer something we publish once and shelve. It is a live programme that every recognition—human or algorithmic—can compile, test, and improve. Join the build.