In This Issue: * Bubbles. Are We? Aren't We? Read more below for my current take... * On Unpredictability and
We act in the parts of reality AI can’t predict because they don’t yet exist.
Three Things Thing One: Summit 2026 Tickets for the Artificiality Summit 2026 are now available! Same place (Bend, Oregon) and
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.
Imagining a Hopeful Future with AI, Decoding the Complexity of Innovation with AI, Is AI Really as Creative as Humans, Jonathan Feinstein and The Context of Creativity, and more!
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.
A 42 hour retreat dedicated to Imagining a Hopeful Future with AI for imaginitive thinkers and innovators who share our hope for the future and are crazy enough to think we can collectively change things.
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.
Join us for our monthly research briefing on Tuesday June 11 at 1pm PT. This month's topic is generative AI search.
ChatGPT Will Never Work Like the Demo, AGI is a Red Herring, The Brittleness of Agentic Reasoning and Planning Using LLMs, Can LLMs Reason and Plan, How to Use Generative AI to Create, and more!
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.
