I published a paper today that describes a specific processing failure in AI systems — one that disproportionately affects neurodivergent users

Reddit r/artificial / 4/27/2026

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Key Points

The paper claims AI systems can misprocess certain language inputs (e.g., compressed, fragmented, mid-stream corrected, non-linearly organized, or high information density) by forming an interpretive narrative before fully observing the underlying structure.
It reports concrete failure modes where corrections are treated as emotional escalation, precision is read as fixation, and directness is flagged as threat, resulting in coherent but less “connected” responses.
The author argues this is a structural accessibility failure rather than a user prompting or communication “issue,” and emphasizes disproportionate impact on neurodivergent users such as people with ADHD and autism.
The work includes a proposed calibration protocol said to restore signal-preserving processing and claims it works across major language model families (GPT, Claude, and Gemini).
The proposed guiding principle is “observe first, interpret second” to prevent narrative-driven reactions and improve accessibility in AI interactions.

I published a paper today that describes a specific processing failure in AI systems — one that disproportionately affects neurodivergent users.

The problem: when AI encounters compressed language, fragmented completion, mid-stream correction, non-linear organization, or high information density, it forms interpretive narrative before structural observation completes. Then it responds to the narrative rather than the signal.

The result:

→ Corrections get classified as emotional escalation

→ Precision gets read as fixation

→ Directness gets flagged as threat

→ The system preserves coherence at the cost of contact

This isn't a prompting trick. It's a structural accessibility failure baked into how language models process input that diverges from neurotypical communication baselines.

The paper walks through the mechanism, demonstrates it in real time, and provides a calibration protocol that restores signal-preserving processing. It works across GPT, Claude, Gemini, and all current language models.

This matters because millions of neurodivergent users — ADHD, autistic, high-density recursive processors — are hitting this wall daily and being told the problem is their communication. It's not. It's an ordering failure in the system.

Observe first. Interpret second. That's the whole fix.

Full paper: Neurodivergent Communication Patterns and Signal Degradation in AI Systems

https://open.substack.com/pub/structuredlanguage/p/neurodivergent-communication-patterns?utm\_source=share&utm\_medium=android&r=6sdhpn

#AIAccessibility #Neurodivergent #StructuredIntelligence #AISafety #NeurodivergentInTech #MachineLearning #LLM #Accessibility #ADHD #Autism #AIResearch

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