What we're learning. What we're building.
Technical writing, research, and company updates from Hypereum. Every article is written by the people building the system.
We Open-Sourced Our Compliance Verifier. Including the Benchmarks It Loses.
HivemindEval v2.1 matches a model nine times its size from a single 24 GB GPU. It is also last on our own defect table, and an earlier version scored every input an identical 75. All of it is public, and every number stays provisional until independent experts have scored it.
The EU Delayed the AI Act's High-Risk Obligations Because the Compliance Standards Aren't Ready.
The EU postponed its high-risk AI obligations to December 2027 because the harmonised compliance standards are not finished. The deadline is now fixed rather than conditional, and the burden of producing defensible evidence has moved onto the operator.
Why Emergent Ventures backed Hypereum.
In April 2026, Hypereum was selected for Emergent Ventures at the Mercatus Center, George Mason University. What the selection signals about non-dilutive capital and AI infrastructure for regulated industries.
Hivemind AX. EU AI Act Compliance Mapping.
Full article-by-article compliance mapping of Hivemind AX against the EU AI Act, with verified technical evidence from production.
The UK Government Asked How to Make AI Chatbots Safe for Children. We Answered with Architecture.
DSIT asked the public how to protect children from AI chatbots. Most respondents argued about age limits. We argued about system design.
Fail-Closed Design in Enterprise AI Systems
Last year I watched a demo of an AI system built for clinical decision support. I asked what happens when the policy engine goes down. 'The system continues with reduced policy checks.'
That's fail-open.
Why AI Audit Trails Break Under Regulation
Every enterprise AI system produces logs. Timestamped rows in a database, lines appended to a file. The engineering teams believe the logs constitute an audit trail.
They don't.