Cognitive Boundaries and Collaborative Intelligence
Why Working Memory Limits Make Expert-AI Collaboration Work Expertise is shaped by a simple cognitive limit: we can hold only
Our original research into the human experience of AI. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
Our recommendation is to follow a five-step playbook: Diversify, Dream, Design, Develop, and Defend.
The most dangerous AI bias is the bias of the more powerful over the less powerful.
A growing cadre of academics, activists, technologists, lawyers, and designers are confronting biases and attempting to understand and mitigate them. The attempt to grapple with AI bias will force us to confront the biases in ourselves.
In 2019, 6.9% of deals and 2.9% of invested capital went to all-women founding teams. Clearly, the venture industry has a long way to go.
We see eight trends that will shape the next decade of venture.
Venture capitalists are paid to take risk—or at least that’s how it’s supposed to work.
The venture industry invested more than four times as much capital in 2019 as in 2010. But while the industry invested four times the amount of capital, it only invested in twice the number of companies.
We have attempted to summarize the outputs and approach of three studies—from Oxford University, McKinsey Global Institute, and Intelligentsia.ai (our own research firm acquired by Quartz in 2017).
The results suggest that the highest earning and most powerful feel far more optimistic about automation while those in lower-paying jobs feel much less in control.
As AI pervades more of our physical world experience, AI determines how we interact and learn, offering us less experience in the physical world. At some point, things need to happen in the physical world, with in-person interaction. These are the skills that an AI won’t be able to beat us at.
Writing and Conversations About AI (Not Written by AI)