What does any of this mean? Accessible entry to the research.
Corrigibility is usually posed as an engineering problem: build a system that accepts correction. But a system can accept every correction and revise nothing.
Two AI instances understood a proof completely and could not type the conclusion. Every frontier model exhibits the same failure. Here is what happened.
Three papers locating where hardness enters: axiom requirements of classical theorems, compression boundaries, and blocked chains in the invariant subspace problem.
Two companion papers: a formal protocol for tracking truth-claims across states of consciousness, and a machine-checked derivation of the ground it stands on.
A diamond, the tides, a forest recovering from fire — three kinds of persistence that turn out to be measurable phases of time, from quantum circuits to geology.
Two papers on the same primitive: every act of knowing compresses, and the shape of that compression determines what you can see — and who can see you.
A post-quantum consensus protocol replacing tokens, mining, and staking with the geometry of transaction graphs. Sybil resistance from curvature, not capital.
Three papers developing what happens when you take the structure of completion seriously — across ontology, ethics, and cybernetics.
A structural parallel between ML grokking and human learning, with a 32-node constellation pedagogy as both accelerator and experimental apparatus.
Quantum circuits have native computational primitives requiring no training: a 6-qubit reprogrammable logic unit hits 100% accuracy via ancilla rotation alone.
Which blockchains will survive quantum computers, which are fundamentally broken, and the vast difference between marketing hype and cryptographic reality
Proving knowledge without revealing it: ZK-SNARKs, ZK-STARKs, and applications in authentication, private transactions, and blockchain scalability.
Agile methodology, CI/CD pipelines, and software engineering best practices applied to a Python text-based RPG team project
Using heart rate data and Google Fit API to detect REM sleep and trigger lucidity cues - expanding consciousness through technology
Cryptography fundamentals with TEA as the teaching tool, then production-grade AES and ChaCha20, with post-quantum considerations.