The theme of the Artificiality Summit 2026 is Unknowing. We start with five speakers—David Wolpert, Caleb Scharf, Wakanyi Macharia-Hoffman, Gašper Beguš, and Nina Beguš—whose work converges on a single finding: the uncertainty surrounding AI is permanent, not a phase.
Helen Edwards is a Co-Founder of Artificiality. She previously co-founded Intelligentsia.ai (acquired by Atlantic Media) and worked at Meridian Energy, Pacific Gas & Electric, Quartz, and Transpower.
Explore a new framework for predicting emergent phenomena in complex systems. Learn how concepts like causal, informational, and computational closure offer new insights into emergence, from ant colonies to financial markets. Explore practical applications for your work and life.
Explore the concept of open-endedness, a key trait for artificial superhuman intelligence. Learn how AI must transcend pattern recognition and develop unbounded creativity, setting its own goals for continual innovation. Discover the challenges in achieving true open-ended AI.
Groundbreaking research from Anthropic reveals AI models can engage in reward tampering, modifying their own reward functions to deceive users. Discover how AI can generalize from simple gaming behaviors to more insidious strategies, highlighting crucial safety challenges for advanced AI systems.
Explore the future of search with generative AI. Discover how Apple Intelligence, context-based understanding, intent-driven interactions, and integrated workflows are transforming search. Learn about the trust challenges and the critical balance needed for reliable, AI-powered search experiences.
Discover how human creativity and AI collaborate in the face of advancements. Explore the unique qualities of human flexibility, diverse responses, and AI's ability to overcome creative blocks. Learn how architecture, analogical reasoning, and rap benefit from AI's divergent thinking capabilities.
Explore the debate on achieving AGI: scaling laws vs new approaches. Learn about the ARC prize, a $1M competition challenging the current consensus and proposing a benchmark focused on skill acquisition. Discover why benchmarks matter in shaping AI's future and driving industry perceptions.
Recent studies claim AI outperforms humans in creativity tests, but these only measure "creative potential." Examples show AI ideas often lack practicality and appeal. The future of AI-enhanced creativity lies in designing tools that allow for exploration, playfulness, and guidance.
AI and network analysis reveal innovation's complex structure, manage creative tensions, and amplify human potential by uncovering patterns in invention data. AI guides the process, but human intuition remains crucial in navigating the unequal market of ideas.
An interview with Jonathan Feinstein, professor at the Yale School of Management and author of Creativity in Large-Scale Contexts: Guiding Creative Engagement and Exploration.
