The author discusses two approaches to a global AI pause: sudden and incremental. An incremental pause is seen as more realistic and achievable, requiring trust-building and experience. The foundation of a pause is trust between participants.
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An incremental approach to the pause could increase the likelihood of successful implementation through trust-building and experience.
This position paper discusses information lost when quantitative records are expressed in language. The authors propose a Large Quantitative Model concept emphasizing reproducibility, data lineage and uncertainty.
59 days agoHacker NewsFrank Rietta discusses reports of AI-agent activity against RubyGems and the implications for dependency security. The article connects automated attacks with the need to revisit patching processes.
59 days ago