Research
Recent Publications
Current peer-reviewed and standalone publications on system design, alignment, and the real-world behavior of advanced intelligent systems, reflecting iQ Company's ongoing architectural research.
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Designing Safe SuperIntelligence (Springer, AGI-2025)
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Four Gifts from the Founders of AI (CogSci 2025)
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Safe and Profitable SuperIntelligence (White Paper, 2024)
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Can LLMS Pick Stocks? (White Paper, 2025)
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DeepSeek, Nvidia, AI Investing, and Our Future (White Paper, 2025)
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WorldThink (White Paper, 2018)
How collective intelligence beat Wall Street and what it means for safe superintelligence
This early work established the principles underlying iQ Company’s approach to leveraging collective intelligence from millions of human intelligences to gain an edge over the best minds on Wall Street. Subsequently, these early architectures were expanded to include both human and AI agents, capable of solving arbitrary problems, in any domain, and foreshadowing our novel approach to designing Safe SuperIntelligence.​
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Select publications:
Why software quality principles are the right foundation for AI safety
An ounce of prevention is worth a pound of cure. We applied the same principles responsible for developing high-quality software, namely defect prevention, to the design of safer, advanced AI systems. This early work outlines the foundational principles and associated techniques.
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Select publications:
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Technology to ease team-based quality assessments (National Productivity Review, 1996)
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Secrets of Software Quality (McGraw-Hill, Inc., 1995)
How cognitive science and neural networks inform the most advanced AI systems
Cognitive Science, the study of intelligent systems (human or AI), is the foundational science that underlies all our advanced AI designs. Along with the Nobel Laureate, Turing Award Winner, and AI pioneer Dr. Herbert A. Simon, Dr. Kaplan co-authored one of the seminal papers that established the field of Cognitive Science back in 1988. His other work that same year showed how neural networks (the basis of all modern AI) might be applied to creativity and insight. Finally, in work published in one of the leading Journals of the field, Kaplan and Simon showed how human insight and creativity might be modelled with techniques that today have relevance for the creativity of the most advanced AI systems.
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Select publications:
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Foundations of Cognitive Science (Herbert A. Simon, Craig A. Kaplan, 1988)
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​In search of insight (Craig A. Kaplan, Herbert A. Simon, 1990)
iQ Company’s research has resulted in many issued patents spanning collective intelligence, forecasting systems, intelligent interfaces, and scalable problem-solving architectures. These patents informed more recent inventions, including our novel approach to a faster, more profitable, and SAFER path to SuperIntelligent AI systems.