Reasoning in AI
The discussion delves into the complexities of defining reasoning in AI, emphasizing the challenge of ascribing intentionality to models. While one perspective focuses on input-output mapping, another argues for the inclusion of concepts like autonomy and emergence. Ultimately, the effectiveness of a model's performance takes precedence over the philosophical underpinnings of how it arrives at its conclusions.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Nicholas Carlini (Google DeepMind)
Related Questions
Can we build artificial general intelligence (AGI) with language models?
Can we build artificial general intelligence (AGI) with language models as discussed in the episode Nicholas Carlini (Google DeepMind) and the clip Reasoning in AI, as well as in the episode ARCHIVE: Open Models (with Arthur Mensch) and Video Models (with Stefano Ermon) and the clip Complex Reasoning Debate?
Can we build artificial general intelligence (AGI) with language models as discussed in the episode ARCHIVE: Open Models (with Arthur Mensch) and Video Models (with Stefano Ermon) and the clip Complex Reasoning Debate?