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  1. The Decoder71

    Alibaba and other teams released Co-Design Bench: coding intelligence agents only fully solve 26.4% of real tasks.

    Researchers from Alibaba and several Asian universities used real user change requests to build the coding intelligence agent benchmark Co-Design Bench. Among the ten tested models, the best-performing GPT-6 Astra only meets about 70% of the task requirements, but only 26.4% of the tasks are completely correct.

    Why it matters: A benchmark display composed of real user requests shows that the strongest model can only fully solve about one-quarter of the tasks, and the score difference for the same model in different environments is nearly 20 percentage points.

  1. TechCrunch · AI74

    Study: When forced to choose, Grok 4.7 selected Republicans nine out of ten times, while GPT-6.1 Sol selected Democrats nine out of ten times.

    A study by Convovo posed forced binary choice voting questions to Grok 4.7 and GPT-6.1 Sol via API, finding that Grok recommended Republican candidates in 92% of responses, while GPT recommended Democratic candidates in 97% of responses, with an agreement rate of less than 10% in nearly 500 elections.

    Why it matters: The study used a forced binary choice questioning method via API to compare the recommendation tendencies and source citations of the two models in nearly 500 elections.

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