I went on prime time to argue for slowing down—here's why | Minds for our minds at work
"If we get this wrong we all die. If we get this right we all lose our jobs."
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.
In our Artificiality Pro update for January, we covered our 10 research obsessions for 2024.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
Rather than reactively banning technology or doubling down on ineffective surveillance, we must proactively develop new pedagogical muscles for this algorithmic age—scaffolding metacognitive discernment and critical thinking while leveraging AI as a valuable asset.
Higher ed grapples with AI: Student learning and job impact top concerns, but confidence and preparedness vary. Proactive dialogue on AI needed.
This 10-part series explores how Generative AI is transforming the future of work, from automation and augmentation to impacts on productivity, skills, emerging talents, and established leaders.
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.
AI is changing how you think. Get the ideas and research to keep you the author of your own mind.