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Discussion of predictions by Google and Anthropic that recursive self-improvement (RSI) could be achieved by 2027-2028, potentially leading to an uncontrollable AI singularity.
The article discusses the possibility of artificial superintelligence (ASI) arriving within the next year, referencing predictions from AI safety researcher Daniel Kokotajlo, and asks how society might change in such a scenario.
A user asks for expert clarification on the apparent consensus that AGI and ASI are inevitable within a decade, expressing concern about timelines, alignment, and personal implications.
The article observes a decline in discussion about 'fast take-off'—the idea of rapid, uncontrolled AI capability growth—within relevant communities, suggesting a shift in discourse among AI safety and futurist circles.
This article analyzes and projects forward Metr's time horizon data, likely related to AI development timelines and forecasting.
A detailed critique of the METR AI time horizons graph reveals numerous severe methodological errors, including biased human baselines, unmeasured data, and test-training contamination, undermining its conclusions about AI capabilities.
The article argues that AGI timelines based on scaling current architectures may be misguided, as true general intelligence requires rationality—dealing with open-ended real-world contexts—which current systems lack due to the frame problem and a low correlation between intelligence and rationality.