A Co-Created Manifesto for a Future with AI We are delighted to announce that we will be partnering with IDEO
Join us in creating something that doesn't yet exist: a genuinely democratic vision for AI's role in human flourishing.
AI offers speed, but real expertise takes time. Discover how to stay essential by preserving the deep skills that AI can’t replace—and why your value depends on it.
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.
LLMs are great at coming up with approximate knowledge and ideas for potential plans. But to actually use those ideas, you need to pair the LLM with external programs that can rigorously check the plans for errors. The key is to use them as part of a bigger system.
Create by mixing modes, varying both inputs and outputs, and perspectives. Part 6 in our How to Use Generative AI series.
Graph RAG doesn't necessarily replace knowledge graphs but can serve as a complementary tool, especially in scenarios where rapid, scalable, and dynamic summarization of large unstructured datasets is required.
This research from Anthropic on the inner workings of Claude constitutes a major milestone in AI interpretability. It's a first glimpse into the mind of an alien intelligence, one that we've created but are only beginning to understand.
An interview with Māori Data Sovereignty expert, Karaitiana Taiuru about indigenous peoples and AI.
Weave by Levering the Technology's Combinatorial Power. Part 5 in our How to Use Generative AI series.
We are witnessing the emergence of agentic and ubiquitous AI systems that will reshape the digital world. We will see vastly more machine content than human content: nothing will be comprehensible without a machine interpreting it for us. By machines, for machines is the new paradigm.
