Can we thoughtfully shape AI so that it better serves humanity's best interests?

Though half the world is blissfully unaware, AI – particularly the generative type based on large language models (LLMs) – is reshaping the jobs market at a terrifying pace. Driven by corporate competition, the urgent scaling and advancement of AI by the likes of OpenAI, Google, Meta and others is already seeing many traditionally human tasks replaced by machines.

But a quiet revolution is starting to take root, offering a brighter – albeit slower – vision of the future. 

This week at the HLFF Blog, Ben Skuse explores the phenomenon of “Slow AI.”

Check out the full article here: HLFF Blog

Image caption: Timnit Gebru, author of the influential paper “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” at The Web Conference 2019. Credit: Victor Grigas (CC-BY-SA-4.0).