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The best argument against us
A regulatory advisor spent an hour trying to talk me out of building Aqta. His four questions are the strongest case against verifiable AI receipts, and here are my honest answers.
Read articleThinking from Aqta
On building AI
for the real world.
Notes on AI in healthcare, agents in production, privacy as a design constraint, and the hard problems worth solving.
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Technical deep-dives on AI in production. No filler, no spam.
The receipt problem with AI
Every other transaction in your life gives you a receipt. When an AI denies your claim, blocks your transaction, or recommends your treatment, what do you get? A plain-language explainer of the gap, with real cases and what a fix looks like.
Eight days before the WHO. AqtaBio's first prospective Ebola signal, and what it does and doesn't prove.
On 9 May 2026 the inaugural entry in our append-only public ledger listed all five top Ebola tiles in the Congo Basin biome. Eight days later the WHO declared a PHEIC for Bundibugyo Ebola in DR Congo and Uganda. Biome-correct; the country was rank 4, not rank 1. Commit #1, not #100. First prospective signal. The lead is real, the caveats matter, the verification is non-custodial.
How AqtaCore signs attestation receipts: Ed25519, canonical JSON, and zero-trust verification
A walk through the cryptography behind every AqtaCore enforcement decision: Ed25519 signing, the canonical-JSON rule that keeps Python and TypeScript verifiers byte-identical, and how an auditor verifies a receipt in five lines without ever calling our servers.
Who's accountable when healthcare AI makes a mistake?
Ireland's Medical Council says doctors remain responsible for AI decisions. But how can they be confident in tools they don't fully understand?
The human supply chain behind AI
Three AI coding assistants, same task. All three imported deprecated libraries. One pulled a known RCE flaw. None flagged it. The model is the easy part.
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