OpenAI’s aiOS
A Reminder: Our current newsletter format includes a full essay as well as links to other essays, podcasts, etc. So
We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. To truly grasp this transformation, our approach is rooted in engaging with core concepts such as critical thinking, logical analysis, and the scrutiny of underlying assumptions, principles that are essential in the realm of philosophical inquiry.
An essay about how your personal choices about AI use, multiplied across millions of people, become evolutionary forces.
Identity Coupling is a measurable, scalable force reshaping how we work, how we relate, and who we become.
Instead of policing AI use or pretending it doesn’t exist, we can help students build awareness of how it’s shaping their learning.
AI is reshaping how students think and learn. The one course every university should teach? Training in cognitive sovereignty—how to collaborate with AI without losing what makes thinking human.
AI excels at generating opportunities but struggles with deciding what matters. New research reveals why human judgment—not technical skill—becomes the scarce premium as AI reshapes expertise and organizational decision-making.
Across hundreds of stories in our human experience research, five recurring patterns stand out for how AI is reshaping the person using it.
Three groundbreaking papers reveal why AI can be impressive yet fundamentally limited. New research shows scaling laws hit brutal constraints while human intelligence—our ability to find principles and reason about novel situations—remains essential, not redundant.
As AI continues to shape the conditions of shared thinking, the human experience of group work is shifting. The changes are often small. A different tone in a document. A faster sense of agreement. A missing layer of friction that once made things more real.
Learn when to delegate to AI and when to keep tasks human. Our research-backed framework helps professionals make conscious choices about AI collaboration while preserving the work that gives their career meaning and value.
Ignoring context creates a systematic bias in how we measure AI impact. The more context-free a task, the more AI can help. The more embedded a task is in specific knowledge and relationships, the more AI assistance can actually get in the way.
Expertise builds in nested layers, but AI can generate outputs without foundational structure. Learn how "Symbolic Plasticity" helps professionals use AI to reveal connections across expertise layers while preserving deep knowledge integrity.
Join us in creating something that doesn't yet exist: a genuinely democratic vision for AI's role in human flourishing.