Sara Hooker, Director at Cohere and head of Cohere For AI, joins the podcast to discuss challenges with multilingual models, the Mixture of Experts technique, common language between ML researchers and hardware architects, impact and emotional connection of language models, benefits and safety concerns of universal models, and the significance of grounded conversations in AI model development.

Sara Hooker, VP of Research at Cohere, critiques compute thresholds in AI governance, highlighting limitations and proposing more inclusive AI models. She discusses the AI language gap, emphasizing the need for multilingual AI systems. The conversation delves into ethical considerations in AI development and the complexities of language diversity in AI capabilities.

Sara Hooker, VP of Research at Cohere and a recognized AI innovator, shares insights on scaling laws and their limits, emphasizing how smaller models can outperform larger ones. She discusses the balance between open-source and proprietary models, highlighting the need for inclusivity, particularly for multilingual capabilities. Sara also tackles data accessibility challenges and copyright issues affecting AI training, and reflects on how her diverse upbringing informs her approach to innovative research practices. Expect a thought-provoking conversation on AI's future!