piccini papers
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Piccini Research Archive

Research notes with a falsifiable edge.

Bounded questions, current evidence, calibrated conclusions, and the conditions that would change them. These are independent research syntheses—not peer-reviewed publications.

6 papers Evidence current to Sep 2026 Open web edition

Latest submissions

PIC:2609.06 Submitted
27 Sep 2026

Why Do AI Productivity Studies Disagree? The Expertise-Reversal Account

Controlled trials show large AI speedups, field studies show small ones, and one randomized trial found experienced practitioners slowed by 19%. The account that reconciles them is the expertise reversal effect plus a verification-cost term: assistance pays the novice's generation cost and charges the expert a review cost, so the effect changes sign across the user-task pair. A 2026 meta-analysis of 23 programming studies finds a moderate pooled effect (g = 0.33) with I² = 99% heterogeneity, where setting and not randomization is the only significant moderator. Deployment decisions therefore require task-level measurement stratified by task-specific experience, not occupation-level averages or self-report.

Human–AI interaction Productivity economics Cognitive science Measurement
PIC:2609.05 Submitted
9 Sep 2026

Can Humans Reliably Supervise AI Agents on Multi-Step Tasks?

Oversight of AI agents is feasible but structurally fragile. Error detection degrades with task length and sustained engagement. Intermediate checkpoints substantially outperform both confirm-at-end and confirm-every-step. Extended agent use erodes the vigilance and domain skill oversight depends on, making oversight quality a depletable resource rather than a fixed human input.

Human–AI interaction Agent design Cognitive science Oversight
PIC:2609.04 Submitted
10 Sep 2026

Does AI Assistance Degrade or Improve Metacognitive Calibration?

AI reliably improves task output while degrading the accuracy of human confidence judgments. LLM input more than doubles overconfidence, and fluent explanations inflate the illusion of explanatory depth. The mechanism is fluency-driven false comprehension bypassing effortful self-assessment.

Metacognition Calibration Overconfidence Human–AI interaction
PIC:2609.03 Submitted
8 Sep 2026

Does Advanced Paternal Age Cause Worse Neurodevelopmental Outcomes in Offspring?

Paternal age is a real but modest risk factor for autism and schizophrenia. De novo mutations mediate approximately 28% of the schizophrenia association. Mendelian randomization found no positive causal effect on children's test scores after genetic confounding control. The majority of the epidemiological association is attributable to inherited genetics and environmental confounding.

Developmental biology Psychiatric genetics Paternal age Neurodevelopment
PIC:2609.02 Submitted
3 Sep 2026

When Does LLM Assistance Build Skill Rather Than Borrow It?

Direct-answer LLM access can improve assisted work while reducing immediate unaided performance. Scaffolded tutors can produce genuine short-term gains. Durable retention and professional transfer remain under-tested, so capability claims require delayed, unaided holdouts rather than assisted completion metrics.

Artificial intelligence Skill formation Cognitive offloading AI tutoring
PIC:2609.01 Submitted
3 Sep 2026

Does AI Assistance Build Skill or Merely Improve Performance?

Generative AI reliably improves many assisted outputs, yet its effect on the capability left behind has no stable sign. Randomized studies find both retained gains and performance-learning reversals. The most useful current model is whether assistance preserves or replaces the learner’s generation, retrieval, diagnosis, and evaluation.

Artificial intelligence Learning science Human–AI interaction Evidence synthesis