AI's 722 Mathematical Manuscripts: Discovery & Verification
OpenAI's October 2026 release raises big questions about proofs, mathematical originality, human understanding, and AI research standards.
Read the sourced MKP analysis →FIELD OF INQUIRY
AI & Machine Intelligence
Understanding how modern AI systems work, what they can and cannot do, how they are changing science and society, and what it takes to run them responsibly at scale.
AI in Drug Discovery & Delivery
AI-guided experimental medicines, antibiotic discovery, lipid nanoparticles and adaptive delivery systems—separating research results from proven patient benefits.
Explore the sourced case studies and discussion →How AI Models Work
Training, tokens, parameters, neural networks, inference, context windows, and why language models generate the answers they do.
Read: How Large Language Models Work →Architectures & Reasoning
Transformers, multimodal systems, reasoning models, retrieval, tool use, and the design choices behind different AI systems.
Agents & Automation
Systems that plan, use tools, coordinate steps, and act on goals across software, robotics, research, and everyday workflows.
AI in Science & Education
Research assistance, scientific discovery, tutoring, accessibility, classroom use, and the limits that matter when people depend on AI-generated information.
AI & Mental Health Support
How AI may serve as an adjunct to qualified mental-health professionals: assisting with documentation and organization, summarizing information for clinician review, tracking patterns, supporting psychoeducation, and helping with appropriate between-session tasks—without replacing professional judgment or human care.
Key questions: privacy and confidentiality, accuracy and hallucinations, bias, informed consent, crisis limitations, over-reliance, and when a human professional must remain firmly in the loop.
Infrastructure & Sustainability
AI chips, data centers, electricity demand, cooling systems, water use, heat management, and the drive to do more computation with fewer resources.
Brain–AI Interfaces & Digital Identity
From assistive communication to the speculative preservation of memory and consciousness, with open ethical questions and a dedicated discussion forum.
Read the MKP essay & join the conversation →Reliability, Safety & Ethics
Hallucinations, bias, privacy, misuse, evaluation, transparency, human oversight, and practical approaches to trustworthy AI.
EDITORIAL APPROACH
Evidence over hype.
This section will separate what AI systems demonstrably do today from forecasts about what they may do next. Articles can compare models and techniques without treating marketing claims as established fact.