Latest news (Page 16)
Running with Scissors
OpenAI isn’t just running fast & breaking things—it’s running with scissors. And that could be a major issue in 2024.
10 Research Obsessions for 2024
In our Artificiality Pro update for January, we covered our 10 research obsessions for 2024.
Best of: Barbara Tversky & Spatial Cognition
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.
Montana University System
Artificiality Co-founders, Helen and Dave Edwards, gave a presentaiton on AI & Higher Education for the Board of Regents of the Montana University System.
A New Twist on Occam's Razor: Exploring Complexity through AI
The emergence of complexity from simple algorithms is a phenomenon we see in both natural and artificial systems. It's a classic example of complexity: even straightforward algorithms can lead to immense complexity over time.
Size Matters
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.
Research Update: December 2023
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
Mechanistic Interpretability & 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.
The Paradox of Expertise in the AI Age
Developing expertise now requires fluency in both core disciplines and leveraging AI for insights, posing an uneasy paradox.