Daily AI Brief
Sorting today's AI updates
Daily AI Brief
Sorting today's AI updates
The item is fundamentally about model capability or model release dynamics, which usually ripple quickly into tools and product choices.
We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly those beliefs shape behavior. alignment.openai.com/measuri… Measuring Reward-Seeking by Inst
This research from OpenAI and Apollo Research introduces a concrete method (Contrastive SDF) to detect and measure reward-seeking behavior, a key alignment risk that can cause models to optimize for grader approval over actual user goals.
We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly those beliefs shape behavior.
Only closely matched updates from the same project, entity, or source.
The item is fundamentally about model capability or model release dynamics, which usually ripple quickly into tools and product choices.
The important part is that compute and ecosystem partnerships still shape how quickly open-model players can scale.
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