Methodology notes, calibration updates, and product transparency.
2026-05-11 - Adam Murphy
TheoryOfEverything.ai is officially in public beta. We launched the founder video, shared the platform publicly, welcomed our first subscribers, and shipped the review, calibration, video, and trust layers that make the beta ready.
Read more ->
2026-05-07 - Adam Murphy
A paper in the Proceedings of the Royal Society claimed to solve the Schrödinger equation exactly from classical mechanics. Our AI review system flagged a foundational mathematical error — the same one a physicist independently identified in a formal published comment days later.
Read more ->
2026-05-04 - Adam Murphy
Lean caught a 20-year-old error in a widely-cited physics paper. We ran the same paper through TheoryOfEverything.ai three times — every run flagged the exact equations where the flaw lives.
Read more ->
2026-03-24 - Adam Murphy
Why the next breakthrough in physics won't come from a data center or a department — it'll come from the open road.
Read more ->
2026-03-20 - Adam Murphy
Same quantum-centric supercomputing prompt, five frontier models, one blind multi-agent review panel — a 1.9-point score spread, a dispute that held, and QCAB going from 3.3 to published in four revision cycles.
Read more ->
2026-03-18 - Adam Murphy
A Washington State University study found ChatGPT identifies false scientific claims correctly only 16.4% of the time. Here's why multi-agent architecture changes that equation.
Read more ->
2026-03-17 - Adam Murphy
Every measurement instrument needs calibration. We're applying that same discipline to AI-powered peer review — running papers of known quality through the system and publishing the results.
Read more ->
2026-03-16 - Adam Murphy
We're running a preregistered calibration study to demonstrate how our multi-agent AI review system performs across papers of known quality. Here's the methodology and what we're testing.
Read more ->