Research
AI-augmented research on frontier science, autonomous research systems, and the economic consequences of machine intelligence.
Mutome
mutome.com →
mutomeAn autonomous research lab for frontier science and engineering.
Mutome runs many candidate research routes in parallel, then promotes only replayable evidence: protocols, code changes, proof routes, metrics, artifacts, and recorded decisions.
Research theses
The polymath becomes operational again
AI lowers the cost of entering new fields. It does not create lone geniuses, but it lets disciplined researchers hold many provisional maps at once and test bridges across domains.
Read the essayProduction becomes cheap; verification becomes central
In software, agents increasingly write and review code while humans specify, audit, and decide. Science faces the same shift: if agents can propose discoveries, the scarce layer is proof, reproducibility, attribution, and judgment.
Research needs new trust infrastructure
The hard question is not whether an AI can produce plausible claims. It is how we know which claims are interesting, which proofs are correct, which experiments are real, and which results deserve attention.
How we work
Explore widely
Models help map literatures, compare frameworks, draft code, and surface cross-domain analogies worth testing.
Verify narrowly
Promising claims are pushed through local tests, reproducibility checks, solver traces, formal tools, or expert review.
Keep memory
Useful failures, contradictions, negative evidence, and source trails are archived so later work compounds instead of resets.
Current areas
Autonomous research systems
Eval-driven lab loops, candidate archives, benchmark adapters, and hardening protocols for AI-assisted discovery.
Cosmic topology and CMB structure
Compact-universe models, low-ell CMB correlations, and falsifiable topology tests.
Holography and black-hole information
Island formulas, Page curves, and entanglement bounds on compact spaces.
Casimir energy and dark-energy tests
Vacuum-energy calculations, holographic dark energy, and public cosmology data.
Extremal combinatorics
Frankl-type union-closed set problems, entropy barriers, and proof reductions.
Scattering geometry and entanglement
Amplituhedron, celestial holography, and positive-geometry bridges.
Formal verification pipelines
Lean, PB certificates, solver traces, reproducibility, and expert review gates.
Public work
Intelligence Disruption Index (IDI)
A composite index tracking 19 signals across 4 categories (Labor, Capital, Knowledge, Autonomy) to quantify the structural disruption of artificial intelligence on the global economy. Updated monthly.
French First Names Origins
An interactive study of 48,516 French first names, using AI classification to trace etymological origin shifts through the French civil registry, with projections to 2050.
We use AI systems for breadth, literature review, coding, simulation, candidate generation, and critique. Claims are promoted only through evidence gates: reproducible artifacts, tests, formal checks where possible, and human review. Public work shows the direction; not every internal workflow detail is disclosed.