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."
An interview with SambaNova Systems CEO, Rodrigo Liang.
This Week from Artificiality: Running with Scissors, 10 Research Obsessions for 2024, Barbara Tversky & Spatial Cognition, Interpreting Intelligence Part 3
OpenAI isn’t just running fast & breaking things—it’s running with scissors. And that could be a major issue in 2024.
In our Artificiality Pro update for January, we covered our 10 research obsessions for 2024.
We're revisiting one of our most thought-provoking episodes, originally recorded in April 2022, featuring Barbara Tversky, the author of Mind in Motion: How Action Shapes Thought.
Artificiality Co-founders, Helen and Dave Edwards, gave a presentaiton on AI & Higher Education for the Board of Regents of the Montana University System.
For the past year, we’ve lived in a world overwhelmed by news of large AI, especially large language models like GPT, the model behind OpenAI’s ChatGPT. The general genius of large language models, however, comes at a cost—and that cost may not be worth it in plenty of use cases.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
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.
Of all the interesting parts of Google’s Gemini announcement, one is keeping me up at night wondering about the possibilities for the future: dynamic coding.
AI is changing how you think. Get the ideas and research to keep you the author of your own mind.