GPT-3: its nature, scope, limits, and consequences

Minds and Machines 30 (4):681-694 (2020)
Download Edit this record How to cite View on PhilPapers
In this commentary, we discuss the nature of reversible and irreversible questions, that is, questions that may enable one to identify the nature of the source of their answers. We then introduce GPT-3, a third-generation, autoregressive language model that uses deep learning to produce human-like texts, and use the previous distinction to analyse it. We expand the analysis to present three tests based on mathematical, semantic, and ethical questions and show that GPT-3 is not designed to pass any of them. This is a reminder that GPT-3 does not do what it is not supposed to do, and that any interpretation of GPT-3 as the beginning of the emergence of a general form of artificial intelligence is merely uninformed science fiction. We conclude by outlining some of the significant consequences of the industrialisation of automatic and cheap production of good, semantic artefacts.
No keywords specified (fix it)
PhilPapers/Archive ID
Upload history
Archival date: 2021-06-08
View other versions
Added to PP index

Total views
32 ( #56,204 of 2,432,203 )

Recent downloads (6 months)
18 ( #36,668 of 2,432,203 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.