22min chapter

Machine Learning Street Talk (MLST) cover image

Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Machine Learning Street Talk (MLST)

CHAPTER

Rethinking AI Scaling and Cultural Dynamics

This chapter explores the misconceptions surrounding AI scaling and emergent properties, challenging the belief that larger models inherently equate to better performance. It delves into the intricacies of language processing for underrepresented languages and the importance of integrating cultural contexts into AI development. Additionally, the chapter discusses how to achieve a balance in algorithm design that fosters user engagement while promoting ethical considerations.

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