- Addressing the Biggest Problems in Using AI — Most work on AI ethics and correctness tries to make individual models better-behaved. The Perseverance Composition Engine takes the opposite view: assume misbehaviour is inevitable, and structure the system to catch it before harm is caused. This is modelled on how human institutions have worked for centuries.
- Structure vs Constitution in AI Safety — Comparing two approaches: Anthropic’s constitution locates AI ethics in the agent through training and guidelines; PCE locates it in the structure around the agent.
- Slow LLMs and MCPs are Hiding Problems — Agentic AI systems are currently slow enough that serious concurrency and coordination problems remain invisible. This is a technical note about what happens when that changes.
- AI, PCE and the Geth Consensus — Science fiction saw artificial organisations coming years ago. A collaboration between me and my Consul agent on what the Geth story tells us about multi-agent AI.
- Snow Crash and Standing Orders — What it is like to work alongside an AI apprentice that studies you.
- Logical and thermodynamic reversibility — LLMs consume vast amounts of energy. Computer science tells us energy is not consumed by computation but by the erasure of information. Models that don’t erase information might avoid an AI energy crunch.
Dan Shearer
Samba co-founder · AI safety software · medical research · IP/privacy, governance · startups
No trackers, no ads, no data collected or retained.
Motivations
I care about sovereignty for organisations and individuals achieved through collective, social approaches. Tech giants are causing enormous damage: IP controls software ⇢ software controls power ⇢ this power exceeds most world governments.
The obsession with AI and stealing personal data might lay waste to humanity. But it might not, and that’s what keeps me going.
If you’re here about…
…AI ethics or agentic systems: safety belongs in the structure around AI, not inside it. With colleages I have been Addressing the Biggest Problems in AI with the Perseverance Composition Engine. This is our open-source implementation of a concept called artificial organisations I use daily (not for my personal life!). Relilable structure improves on what AI companies offer, because it copies how human organisations have worked for thousands of years.
…medical research, biobanks, epidemiology or data ethics: I am doing some epidemiology work, covering One Health and rule-based malaria modelling. My Medical Snapshot is a model to explore the causality paradox in longitudinal studies, in practice compared against 26 systems used in the last 90 years. Active Heat Exchanger is a cheap device to improve indoor air quality which also generates life-saving data that doesn’t exist anywhere at present.
…me as an advisor, expert witness, or collaborator: since 1997 I’ve worked with founders, boards and courts on software IP, privacy regulation, and open-source strategy. Background and how to engage.
…open source, IP, governance and regulation: Samba and its the official history have many lessons for today. In 2026 at single-country scale we have Data Mobility issues post-Brexit and much larger EU–US Privacy battles, and paracopyright. Often the large companies ignore regulation while claiming compliance, and other times the regulation has surprising wrinkles such as facts buried in GDPR Article 28.
…my interests, and your contributions and corrections: Errors, missing references, and additions welcome in the topics below; the site challenge has the details.
Agentic AI, Ethics and Artificial Organisations
Medical research, epidemiology and public health
- Medical Snapshot — A proposal for an observer-only health system in which individuals are tested longitudinally, results are withheld during life, and the full record is released to a treating clinician only after independent diagnosis. Resolves the causality paradox that breaks most longitudinal studies.
- Health Observer Systems: A Comparative Review — Every comparable programme I could find across 90 years, 26 systems scored against 18 features in six dimensions, with multi-language source searching and explicit source-credibility tiering. The quadrant plots are reproducible from the R source.
- Active Heat Exchanger — A cheap retrofit ventilation device that addresses houses making their occupants sick (Awaab Ishak’s law), and as a side-effect generates the large-scale longitudinal indoor air quality dataset the field has never had. Current research programme with Costa Talalaev and Makerbee Ltd.
- One Health and Epidemiology — My 2026 paper (UK MRC-funded) introducing One Health to scholars outside medicine. One Health treats ecology, animals and humans as a system of systems across dozens of fields.
- Rule-based Epidemic Modelling and Malaria — Modelling sub-Saharan malaria using rule-based techniques rather than differential equations, to investigate whether asymptomatic HbAS carriers introduce testing bias sufficient to undermine epidemic suppression. Part of the MRC-funded RBEM project.
- Radiophobia — Why Linear No-Threshold is wrong, what it costs in missed diagnoses and fear-driven iatrogenic harm, and how to talk to a radiologist.
Open Source
- Samba — Co-founding Samba meant taking on Microsoft’s attempt to own all networked file storage. Conservatively a billion users later, the project is still running. Full context in the official history and the timeline of battles lost and won.
- LumoSQL — A novel twist on the world’s most-used software, adding privacy and security features. We found a way to extend SQLite without breaking compatibility.
- Not Before Time — Assembling existing technologies into a universal way to time-lock information using everyday software tools.
- How to Replace Windows NT with Linux — The first methodology and comprehensive guide for organisations migrating off proprietary software. Written in 1999; highly topical in 2026 as this has become a widespread global goal.
- Reversible Execution — Rewinding systems and replaying them forward to find complicated bugs and security problems. What I worked on at the second serious startup I was involved with.
- Not Forking — Automates change management across source trees in ways version control systems such as Git or Fossil cannot.
- Fossil — A practical alternative to Git with stronger cryptographic and reproducibility guarantees. I contributed improvements and use it for several projects (but still mostly use Git).
- Open Source to Chemical Rockets — How I found open source in the first place.
Legal and regulatory
- Opportunity in GDPR Article 28 — Buried in the legalese is precise computer science that effectively mandates something blockchain-shaped. GDPR enforcement tightens annually; many non-EU jurisdictions have copied the law; this is a commercial opening.
- EU–US Privacy Shield et. al. in 2026 — US corporate-coercion-as-policy is not new; this site documents decades of it. But in 2026 it is a mainstream concern intersecting trade wars and shooting wars, with court decisions and laws changing weekly. My work is on minimising risk across the axes.
- Software Patents, TPMs and Paracopyright — Copyright and software patents have morphed into something else entirely when combined with technical protection measures. This is the key to technical sovereignty, something I have been speaking about since linux.conf.au 2004.
- Microsoft Patent Process — Ballmer Era — A practical guide to Microsoft’s software patent strategy 1998–2014, from direct experience fighting it. Historical, but the tactics evolved rather than disappeared.
- Security Standards and Certifications — How ISO27001, GDPR, NIS and related standards work in practice for UK organisations, from someone who has implemented them several times.
- Data Mobility post-Brexit — Currently the hardest question for UK organisations that cross the Channel, now tangled with trade-war complexity.
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