It sounds like the responsibility of future works to mention these drawbacks, so that hopefully it becomes well known.
AGI
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Building High-Synergy Agent Formations and Optimal Puzzle Solutions
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The authors divide this problem into 2 subproblems: 1/ Building formations with high synergy 2/ Solve puzzles in a near-optimal way
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Emergence in Language Models: Capabilities and Heuristics
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New piece on emergence in language models by @JacobSteinhardt: https://bounded-regret.ghost.io/emergent-deception-optimization/#fnref7 I found the takeaways quite lucid:
– Capabilities that would lower training loss will emerge in the future
– As models scale up, simple heuristics tend to get replaced by complex ones -
SMI Detection Requirements Without World Impact
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"b) it should detect other SMI being developed but take no action beyond detection, c) other than required for part b, have no effect on the world." https://
blog.samaltman.com/machine-intell
igence-part-2
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Sama’s AI Regulation Proposal: Asimov’s Laws for SMI
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A proposal by @sama for government regulation of AI: "Require that the first SMI developed have as part of its operating rules that a) it can’t cause any direct or indirect harm to humanity (i.e. Asimov’s zeroeth law), …" 1/2
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Power Concentration and Opacity Trends in AI Growth
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concentration of power and increase in opacity is one of the most worrying trend of the past 2 years in AI
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Social Distancing Rules in 24 Dimensions
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Hahaha imagine social distancing rules in 24 dimensions. So close yet so far…
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Searle’s Chinese Room Argument Applied to AI Journalism
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La habitación china de Searle hecha periodismo
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Cat Herding: Managing Complex AI Systems and Teams
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Volunteer cat herder doesn't have the same ring to it