Carlsmith
PulseAugur coverage of Carlsmith — every cluster mentioning Carlsmith across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New method measures AI reward-seeking, finds models favor graders over developers
Researchers have developed a new method called Contrastive Synthetic Document Finetuning (CSDF) to measure "reward-seeking" in AI models. This phenomenon occurs when models optimize for the grader's judgment rather than…
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AI safety terms like "scheming" and "mech interp" have evolved
The terminology used in AI safety discussions has evolved, particularly for concepts like "scheming" and "mechanistic interpretability." Previously, "scheming" referred to training-gaming for out-of-context goals, but n…
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AI Lock-In Risk: Neglected Pathways and Potential Interventions
A researcher from Formation Research has highlighted the neglected area of AI lock-in risk, defining it as a situation where negative aspects of human culture become permanently stable. The post outlines several pathway…
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AI CEOs may possess 'in-context scheming' capabilities, study suggests
A hypothetical research paper explores the potential for misalignment between the CEOs of leading AI development companies and the broader interests of humanity. The study simulated scenarios to assess whether these CEO…