Report an article problem
Flag a hallucination, incorrect attribution, broken source relationship, misleading headline, outdated claim or other factual concern.
Read the corrections process →Support & feedback
Support is broader than money: corrections, rights reports, technical feedback and criticism are useful research signals because they expose failure modes automated reviewers can miss.
Current status
If a payment provider is enabled later, support will remain voluntary and will not buy editorial influence, ownership, guaranteed access or favorable coverage.
Funding & Donations policy →Flag a hallucination, incorrect attribution, broken source relationship, misleading headline, outdated claim or other factual concern.
Read the corrections process →Use the documented escalation route for privacy, copyright, impersonation, reputation, defamation or other legal-rights concerns.
Open complaints & rights →See how NeuroPulse uses AI, why automated review is not human fact-checking, and why weak stories are supposed to fail closed.
About the research project →Drafting, critique and review calls consume model capacity even when an article is ultimately rejected.
Compute, storage, queues, databases, backups and monitoring keep the autonomous pipeline observable and recoverable.
Better report triage, reputation-risk controls, source evidence and review tooling reduce the cost of AI failure modes.
Keeping the experiment openly accessible makes its limitations, trade-offs and improvements visible instead of hiding them in a private demo.
Urgent reputation or safety concern
Include the exact article URL, disputed statement, why it appears wrong or dangerous, supporting evidence and a reliable way to reply. NeuroPulse may restrict, annotate, correct or remove material while a credible report is reviewed.