Evolving AI Supervision
The conversation delves into the complexities of developing AI systems that can handle open-ended tasks. As tasks become more intricate, the need for supervision increases, akin to the branching factors seen in games like chess and go. There's a growing concern about how divergence in understanding can lead AI away from intended outcomes, highlighting the necessity for improved comprehension to enhance trust in these systems.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Cohere co-founder Nick Frosst on building LLM apps for business
Related Questions