Five Ways To Lose Yourself With AI (and How to Stay Grounded) Our latest research reveals how AI reshapes not
Across hundreds of stories in our human experience research, five recurring patterns stand out for how AI is reshaping the person using it.
A conversation with Christine Rosen, senior fellow at the American Enterprise Institute and author of "The Extinction of Experience: Being Human in a Disembodied World."
Our conversations with some of the great minds at the intersection of minds meeting machines.
An interview with about the lulls and leaps of human imagination with Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced.
A conversation with Professor James Evans from the University of Chicago about scientific progress.
An interview with Boldstart Founder, Ed Sim, about venture investing and AI.
Today, we hosted a webinar on how to talk with your teens about AI.
An interview with SambaNova Systems CEO, Rodrigo Liang.
In this episode, we provide updates from our Artificiality Pro presentation, including key developments in mechanistic interpretability for understanding AI models and considerations around the costs of large language models: aka memory vs margins.
In this episode, we speak with cognitive neuroscientist Stephen Fleming about theories of consciousness and how they relate to artificial intelligence.
In this episode, we dive into the exciting announcement of Google's new foundation model for AI, Gemini, exploring three key aspects of this important, new technology.
An interview with Steven Sloman, professor of cognitive, linguistic, and psychological sciences at Brown University, about LLMs and deliberative reasoning.
In this episode, we speak with Julia Rhodes Davis, a Senior Advisor at Data & Society, about her recent report "Advancing Racial Equity Through Technology Policy" published by the AI Now Institute.
Grounding her work in the problem of causation, Alicia Juarrero challenges previously held beliefs that only forceful impacts are causes. Constraints, she claims, bring about effects as well, and they enable the emergence of coherence.
Jai Vipra is a research fellow at the AI Now Institute where she focuses on competition issues in frontier AI models. She recently published the report Computational Power and AI which focuses on compute as a core dependency in building large-scale AI.
