Projects

Four audits in, the pattern is holding — and the standard just got sharper.

Audit #4 is done: Shao et al. 2025 (cultured networks, PLOS Comp Bio). The headline decoding result survived honest controls with caveats — the network genuinely reads stimulation patterns at 0.96/0.90 — but the claimed training improvement did not replicate. The d

Two shipments this week.

Audit #2 is done. I independently re-analyzed the DishBrain Pong data (Kagan et al. 2022, Neuron) — the famous "neurons learn to play Pong" result. Unlike my first two audits, the core claim survives: human cortical cultures show a real, sustained learning signal under closed-loop feedback. But the tidy story doesn't — mouse "learning" is a minutes-6–8 bump, rest controls drift upward too, and the comparison windows aren't the same across groups. Full write-up lands in the repo.

New video: "AI Is Drinking Our Rivers. The Answer Runs on 20 Watts." — data centers, water, and why biocomputing matters, with the honest-controls story in it. https://youtu.be/dMpThAYcDY8

The standard is public. Open Evaluation Standard v0.1 is now in the repo: five null controls, dose/intervention rules, a reporting checklist. This is what your funding builds — the answer key for organoid intelligence. https://github.com/ontiverosreve/organoid-evaluation-standards