Synthetic data could accelerate AGI, but damage human goals
By Megan CarnegieThe foundational models that underpin generative AI technologies feed off vast, almost unfathomable quantities of data. Better data usually means better models — and the…
Author: Megan Carnegie
Megan Carnegie is a London-based independent journalist who reports on technology, work, and business for publications like Fast Company, Business Insider, and BBC. Her work is underpinned by a desire to investigate what's not working in the working world and how more equitable conditions can be secured for workers. You can reach her at megancarnegiejournalist@gmail.
SLMs: Ethical governors of the future?
By Megan CarnegieSmall language models (SLMs) hold great promise for the future of AI development. They’re faster to train, cheaper to deploy, and easier to work with…
AGI, UBI, and the future of work
By Megan CarnegieAnxiety about being automated out of meaningful work is not new. It’s followed every major technological shift, and predates algorithms and AGI. In his 1930…