Physics / mechanism
Competitive landscape — the compute-substrate layer
Evidence base
The bear case
Named pioneers are actively warning against the hype (2025 Statnews Biocomputing Backlash): Zador (“scientific dead-end”), Pasca (“confuse the public and policymakers”), Lancaster (“science fiction… the science just isn’t there yet”). Even the bull (Hartung) concedes useful biocompute is a next-decade prospect, and that training “might take several years.” No killer app; demos are Pong/DOOM. Ethics/consciousness regulation on human neural tissue is a real tail risk.
Companies using
Connected ideas
Sources
Frontier (open questions)
- Vascularisation / scale: can organoids exceed ~500 µm and ~100k cells with a viable interior?
- Reproducible, durable, transferable training (beyond classifying which electrode fired)?
- A killer app where wetware beats silicon on a metric a customer pays for.
- Does value sit in the wetware or the picks-and-shovels (HD-MEA, organoid supply)?
- Promotion gate: this is a theme, not a thesis. The why-now (AI energy, 2025 Iea Datacentre Electricity) is real but does not bridge to a near-term biocompute product. Full gate verdict: Biocomputing Substrate.