Recently, however, there has been a proliferation of organizations aiming to build AGI and asserting that their products are close to achieving it (Bubeck, et al., 2023; Cuthbertson, 2022). While a number of researchers have debated whether…Unlike small, “narrow AI” models built for specific tasks and trained using curated datasets, systems that are advertised as having “broad general knowledge and domain expertise” require models with upwards of hundreds of billions of parame…“sentient” machines obfuscates the many exploited humans involved in training and evaluating these systems, as well as the resources that are consumed in the process. Ensuring system safety requires an ecosystem of agencies, lawmakers, and …
Jiang
scientist · 3 mentions across 1 reading
In this course
Jiang appears only in passing reference within the course readings on AGI development and large-scale model training, cited alongside contemporary debates about whether current methodologies can achieve artificial general intelligence. The excerpts suggest Jiang's work is being invoked in discussions of parameter scale and training datasets required for broad AI systems, though their specific contribution to the seminar's frameworks on labor exploitation and system safety remains unclear from these fragments alone.
Mentioned in 1 reading
Appears alongside
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