Exploring Complexity Ep. 2
Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
A Skeptic's Guide to How Cognitive Biases and Reasoning Errors Fuel AI Hype, Social Learning, The Hidden Cost of ChatGPT is the Erosion of the Digital Commons, and more.
The #UnthinkingAIEnthusiast's are on fire these days! Here we provide a skeptic's guide to help you separte the reality from the hype.
An introduction to our new video series: Exploring Complexity
On a surface level, AI might seem like the perfect solution to the challenges of social learning. But is this really true? Is it actually what we want?
A new study suggests that the rise of ChatGPT may be eroding the digital commons. If users turn more and more to ChatGPT and other AI models for answers and assistance, rather than posting their questions and solutions publicly, the digital commons that these models rely on will begin to decline.
The Artificiality Weekend Briefing: About AI, Not Written by AI
In science, traditional human search strategies are like wandering through a wilderness with limited visibility, relying on intuition and serendipity. AI, in contrast, can take in the whole landscape, quickly and effectively exploring the vast range of possible combinations.
Context is everything—whom you're with, where you're going, and why. Machines currently lack the ability to understand this context, but generative AI, especially modern large language models, hold the promise of changing this limitation.
The future of the extended mind is not a fixed destination but an ongoing journey that requires our active participation and reflection as we redefine what it means to be human in an age of artificial intelligence.
Complex change recognizes that change is non-linear, emergent, and deeply interconnected with the system in which it occurs. This is even more important as we adapt to the complexity of generative AI.
New research on developing AI that builds robust world models shows an AI's ability to seek out surprise, motivation, and novelty, enabling it to navigate and understand the complexities of the world through self-driven exploration rather than just following predetermined reward pathways.
AI will force us to broaden our view of intelligence. The real success in AI development will be in discovering forms of intelligence that go beyond anything we've known, transforming how we understand and interact with the world around us.
Recent research demonstrates through empirical evidence that GPT-4 can autonomously develop pricing strategies that edge towards collusion without explicit human direction or inter-firm communication.
Enterprises face a critical choice in their generative AI adoption strategy: fine-tuning or Retrieval-Augmented Generation (RAG)? While fine-tuning has been the go-to approach for early adopters, a new study suggests that RAG may be the more powerful and sustainable path forward.
On April 9th, we presented our research update on the State of AI & Complex Change which focused on confusion about AI, status of AI adoption and deployments, anxiety about AI, and AI in the Wild.
Slides and videos from our February 2024 research update for Artificiality Pro
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.
A guide for organizational transformation for generative AI. By taking these critical steps, organizations can lay the foundation for effective use, setting themselves up for future success in an increasingly AI-driven world.
Modularize tasks with generative AI to make them more achievable.
IBM's principles for generative AI applications underscore the necessity of a thoughtful, user-centered approach to designing GenAI applications.
Access all digitized human knowledge by exploring with generative AI.
Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
What is complexity? How do complex problems and opportunities differ from simple & complicated? Where do we find complexity?
An interview with Susannah Fox about her recent book, Rebel Health: A Field Guide to the Patient-Led Revolution in Medical Care.
An inteview with Angel Acosta, founder of the Acosta Institute.
Artificiality Co-founders, Helen and Dave Edwards, spoke about Rethinking Value in the Age of AI at the EY Innovation Realized conference at the Palace of Fine Arts in San Francisco on April 16 & 17.
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Generative AI & Data Culture at the Starbucks Innovation Expo on May 14 & 15 in Seattle.
Artificiality Co-founders, Helen and Dave Edwards, will be attending the ASU+GSV Summit in San Diego on April 14 and 15.
The Artificiality Weekend Briefing: About AI, Not Written by AI