Independent research & building · 2026RE / 001

Intelligence is getting cheaper.
What happens around it?

I am Raynor Eissens. I publish conceptual and empirical research on the systems surrounding abundant AI: reversibility, attention, trust, distributed cognition, power architecture and ambient computing.

The recurring problem is not simply how much a machine can produce. It is what happens to attention, continuity, trust, power and the freedom to change course when execution becomes cheap.

THE RESEARCH CONNECTS THREE SCALESideas → infrastructures → measurements
01 / From framework to measurement

Theory becomes stronger
when it risks measurement.

CONCEPTUAL RESEARCH

What abundant intelligence changes.

Conceptual work on the Ambient Era, affordable variation, institutional reversibility, power architecture and the conditions surrounding increasingly abundant machine intelligence.

Browse selected publications ↗

The broader publication catalog lists the additional reports, technical notes, preprints and research deposits.

Now readable online: 196 complete PDF-to-HTML editions from 198 Zenodo records, with original sources linked. Browse all 202 records ↗

EMPIRICAL PROGRAMS

How the claims can fail.

Measurement programs turn broad claims into observable variables: exit cost, state portability, attentional burden, irreversible residue, variation cost, trust functions and migration behavior.

02 / A flagship argument

Abundance moves
the bottleneck.

Lower production costs do not automatically make better environments. Selection, coherent context, usable alternatives and affordable exit become central.

“What becomes scarce after generation stops being scarce?”

Beyond Abundance
The Ambient Era and the Economics of Affordable Variation · v1.0 · 2026
03 / Selected research

Find the work by question, not by acronym.

NEW 2026 · September · conceptual essay
Superartifacts · released intelligence · world-level affordance

The Second Jump

From released intelligence to capability-bearing artifacts: a load–release model for how bounded objects can expose more possibility than their visible form suggests.

NEW 2026 · September · empirical program
Reversibility · exit cost · measurable AI architecture

Measuring Reversibility in AI Systems

An empirical program for measuring whether cheap AI also makes technological choice cheaper to reverse, migrate and recombine.

NEW 2026 · September · synthesis note
Agent offload · ambient AI · evidence-led synthesis

From Agent Offload to Ambient Field

Critical synthesis of agentic offload, externalized trust, residue, distributed cognition and the hypothesis that the visible agent may become less salient.

01 2026 · September · synthesis note
Ambient Power · independent web article

Ambient Power: Why Decentralization Alone Is Not Enough

Why distributed hardware is insufficient when protocols, standards and access rules can still be captured. Full-text synthesis note, no DOI assigned.

02 2026 · research theme
Post-generative economics

Abundance, attention and reversible choice

Research on what changes when generation becomes cheap and bottlenecks migrate toward selection, trust and the cost of exit.

03 2026 · research theme
Human-centered systems

Interfaces, institutions and ambient intelligence

Proposals exploring how systems carry context and continuity without making users permanently compensate for complexity.

04 2026 · independent web essay
News and AI-mediated discovery

Query-Native News (Newsquiry)

From national feeds to question-first source routing, with attention to attribution, gatekeeping and publisher risks.

These works propose frameworks and research questions. Publication and DOI registration are not statements of independent peer review or empirical validation. Read the method note ↗

05 / The connection

Artifacts enter the world.
Then the world changes what comes next.

One person can build a working artifact through iterative prompting. A public environment can give it a history, a context, an audience and the possibility of further variation. This is the practical bridge from the paper to the software.

make→publish→encounter→remix→preserve

An observed design direction, not a claim that a community or sustained retention has already been demonstrated.

Read the artifact-to-field argument ↗
Start anywhere

Read a paper.
Play an artifact.
Follow the connection.