An interview with J. Craig Wheeler, Professor of astronomy of the University of Texas at Austin about his book, The Path to Singularity.
Explore how synthetic systems merge with organic experience in The Artificiality. Follow the journey from information to consciousness, where AI evolves from passive tools to active participants, reshaping reality, redefining intelligence, and challenging the boundaries of human experience.
Congratulations to the authors of of the Artificiality Book Awards 2024!
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.
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.
Developing expertise now requires fluency in both core disciplines and leveraging AI for insights, posing an uneasy paradox.
In this episode, we speak with cognitive neuroscientist Stephen Fleming about theories of consciousness and how they relate to artificial intelligence.
Our obsession with intelligence: AI that promotes collective intelligence, not collective stupidity.
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.
Writing and Conversations About AI (Not Written by AI)
