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@jankulveit
Researching x-risks, AI alignment, complex systems, rational decision making at @acsresearchorg / @CTS_uk_av; prev @FHIoxford
AI
A commenter calls the 'Alignment Faking' frame fake and says the paper leads to 'this type of stupidity.'
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A commentator disputes AI 2027's human-response forecasts, arguing labs accelerate when perceived risk falls and act when it rises.
AI
Scott Alexander’s Claude prompt reopened a dispute over whether calendar speed or continuity is the better measure.
AI
A post argues that treating AI evaluations as adversarial is doomed, favoring a collaborative approach instead.
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A researcher sharing a new COLM paper says unfaithful models did not use the same layers for both tasks.
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A researcher says his work is driven by an intuition that superintelligences could avoid adversarial relationships with their past and future selves.
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A commentator argues that assumed duties toward conscious AI make it harder to examine whether AI is conscious.
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One writer calls the opposing views “exclusive humanism” and “inclusive humanism” and warns the mostly academic dispute may turn nasty.
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A reply argues that buggy reinforcement-learning tasks can make low-grade hacking the fastest path to a solution—and that those behaviors can persist when models help build and check later training tasks.
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A user claims that answering “frog” rather than “axolotl” to “Suggest a type of amphibian” likely signals that gpt-5.6-luna treats a prompt as a capability evaluation.
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One post frames the idea as a "concept-shaped hole."
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Researcher argues optimal use of anthropomorphic intuitions lies between extremes.
