Mind for our Minds: Judgment, Meaning, and the Future of Work and a Lecture by Joscha Bach
It's only two months until... The Artificiality Summit 2025! Join us to imagine a meaningful life with synthetic
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.
10 Days Until our AI Course for Leaders! Become More Essential with Artificial Intelligence. Our research-backed course helps experienced professionals
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.
A lecture by Jamer Hunt, professor at the Parsons School of Design and author of Not to Scale, at the Artificiality Summit 2024.
Why You Can't Skip to Expert-Level AI Collaboration True expertise has a nested architecture where each layer builds
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.
A Co-Created Manifesto for a Future with AI We are delighted to announce that we will be partnering with IDEO
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.
A review of Christopher Summerfield's These Strange New Minds: How AI Learned to Talk and What It Means
Why Working Memory Limits Make Expert-AI Collaboration Work Expertise is shaped by a simple cognitive limit: we can hold only
In our Chronicle study tracking how over 1,000 professionals adapt psychologically to AI, the highest-performing AI collaborators were using AI to help them build better abstractions.
This week we explore the evolving boundaries between human and artificial intelligence across multiple dimensions. We examine how AI multiplies