AI and Jobs Primer | Stay Human, Chapter 8 | The Irrational Decision by Benjamin Recht | Conversations on Software Brain and with Larry Irving
First, thank you to those who sent condolences this week after the death of Dave's dad at age
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.
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.
After four years, we are relaunching Artificiality with a new site, new focus, and new business model. Woohoo!
AI is changing how you think. Get the ideas and research to keep you the author of your own mind.