Vol. I · No. 4 Front Page Updated April 29, 2026

Multiplicity

Writing, building, and consulting on complex systems through behavior analysis, artificial intelligence, experimental and research methods, and executive leadership.

By David M. Cole Editorial · Operator notes · Practical AI Subscribe via RSS

AI in Practice · Lead Story

A machine that says sorry

Anthropomorphic AI does not merely make software feel human; it changes what users do.

An illustrated figure at a chat interface apologizing, rendered in a warm editorial style.
Illustration for A machine that says sorry. The interface evokes apology, scolding, and trust in the model’s own confessions.

Users need not believe AI is sentient. The interface still evokes apology, scolding, and trust in the model’s own confessions. The friction is widespread: users manage tone and intention when they should be changing the conditions that more reliably alter AI behavior.

The cost of the misframing is not abstract. People bargain with chat windows. They word prompts as if persuading a colleague. They take a fabrication personally and a refusal as judgment — and they treat the model’s account of its own reasoning as ground truth.

The piece traces what changes when we name the move plainly: that an apology in a chat interface is not contrition but a token sequence with a particular effect on the user. Once the operator sees that, the path forward stops being emotional and starts being procedural.

AI in Practice · Continued Three from the desk · Behavior, decisions, persistence

Paper

A child and therapist interacting in a therapy room with sensing displays nearby.

The field that taught machines to learn

Modern AI inherited reinforcement learning from a line running through Thorndike, Skinner, and a century of studying behavior as a function of environment. Now AI is rebuilding measurement in clinical settings.

Preview

A retro Oregon Trail-style scene: a wagon leader asks 'We need to cross. What's the best way?' and an AI replies 'Stay on this side. Crossing is risky with no sure benefit.'

The decision before the decision

AI decision debates usually ask who clicked approve. The direction was shaped before options were even presented — when a system turned a messy file into a frame, a ranking, a draft reason.

Preview

A hand flipping through a paper flip book where a drawn robot appears to move across successive pages.

Context and persistence

The AI you used on Tuesday does not remember you on Thursday. What we call persistence is really scheduled context loading — files, notes, and instructions re-fed each session.

Neuroscience · Motor control

Motor preparation for compensatory reach-to-grasp responses

Measuring brain activity while participants are unexpectedly released from a support cable — testing how the nervous system prepares protective responses before a threat actually arrives.

Bolton, D. A. E., Cole, D. M., Butler, B., Mansour, M., Schwartz, S., McDannald, D. W., & Rydalch, G. (2019). Cortex, 117, 135–146. Article Data set DOI

Neuroscience · Balance

Staying upright by shutting down?

Evidence the brain globally suppresses the motor system during reactive balance recovery — shutting down competing actions so the protective response can execute cleanly.

Goode, C., Cole, D. M., & Bolton, D. A. E. (2019). Gait & Posture, 70, 260–263. Article DOI
From the Wires Talks · Symposia · Software

Talks

David Cole presenting at the Best of ABA Conference in Cagnes-sur-Mer.
David Cole presenting at the Best of ABA Conference, Cagnes-sur-Mer, 2024.

Early presentations on AI in ABA

Soon after ChatGPT’s release, presented on the opportunities and ethical challenges arriving with the new tools. Talk at Best of ABA, Cagnes-sur-Mer, 2024; panel at EABA, Brno, 2024.

Elsewhere in this publication

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About & CV

A short professional narrative and the structured public record — degrees, positions, papers, talks.

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Projects

Software, tools, and ongoing work — including Formative Grapher and ClawSuite Relay.

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Build

Custom behavioral engineering and AI systems for organizations that want to own their measurement and decision infrastructure.

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Executive AI

A closed-cohort intensive for leaders implementing AI in real operating contexts.

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