Pandaemonium Architecture 6.0

In this course

Peter Norvig is a prominent AI researcher whose assessment of current LLM capabilities carries significant weight in debates about artificial general intelligence. The course readings cite him alongside Google leadership to support the claim that advanced AI systems have already achieved "the most important parts of AGI," marking a pivotal moment when the field's resource-rich actors shifted their AGI ambitions toward large language models rather than other methodological approaches. This citation exemplifies how established researchers lend credibility to expansive claims about contemporary AI systems within the contemporary AI hype cycle.

Mentioned in 1 reading

Timnit Gebru and Emile P. Torres

The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence

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1. Introduction Recent years have seen a resurgence of the goal to build artificial general intelligence (AGI), a system defined differently by the various people and organizations that seek to build it. For instance, OpenAI defines AGI as …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…2017), the most resourced AGI proponents pivoted to large language model (LLM) based systems, with Google VP Blaise Agüera y Arcas and prominent AI researcher Peter Norvig writing “the most important parts of AGI have already been achieved …

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