Unknowing and Unknowable | Last Chance for Super Early Summit Tickets
LAST CHANCE FOR SUPER EARLY PRICING FOR THE ARTIFICIALITY SUMMIT 2026!
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.
A conversation with Leslie Valiant about his new book, The Importants of Being Educable: A New Theory of Human Uniqueness.
Iterate by critiquing, interacting, and iterating to improve outpus. Part 7 in our How to Use Generative AI series.
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.
The current obsession with AGI, fueled by the hype from companies like OpenAI, is a dangerous distraction we must firmly reject. Don't fall for the red herring argument that we need superintelligent AI to save us from ourselves. It's an insult to human intelligence and agency.
Research suggests that LLMs are not demonstrating genuine reasoning abilities but are instead relying on pattern matching and retrieval based on the provided examples. We're still a ways off reliable performance of LLMs in reasoning and decision-making tasks.