A report contributor defends AI scenarios as possibilities, not precise predictions
One commenter argues that skepticism about AI forecasts in 2018 was rational. A report contributor counters that the analysis explored what was “plausible in the next 5 years,” not definite outcomes.
TLDR
The disagreement centers on what was foreseeable in 2018. One commenter argues that later AI breakthroughs were not inevitable, making skepticism reasonable and retrospective claims of vindication misleading. A report contributor replies that the analysis used proofs of concept and trends to explore five-year possibilities—not make precise long-term predictions. They acknowledge that some developments moved faster or slower than expected, while defending discussion of plausible outcomes. Separately, they argue that early scaling laws made continued rapid improvement clear by 2020, without justifying precise forecasts.
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