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Nov 8Sun
  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.

  2. ITHome · AI67

    OpenAI GPT-6.1 Sol involved in live mouse brain surgery: Continuous operation three times, positioning error halved

    OpenAI GPT-6.1 Sol performed three consecutive operations in the brain of a living mouse during surgery, improving its localization performance based on surgeon feedback, reducing the time from 169 seconds to 86 seconds, and reducing the localization error from 0.6 mm to 0.3 mm, a 50% reduction in error. The research team had the model participate in localization tasks for two key anatomical landmarks, Bregma and Lambda, on the surface of the mouse skull. Images, data, and correction records were saved after each operation for future reference.

Oct 24Sat
  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.