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DeepMind has four Gemini agents team up to defeat the Ender Dragon in Minecraft
Google DeepMind had four Gemini 4 Argon agents team up to play Minecraft from scratch, defeating the Ender Dragon after 27 hours of real time, during which they died 605 times, wrote more than 2,700 programs, and produced a total of 63,300 lines of code. The four agents had no human-written programs to rely on; chopping trees, mining, and crafting equipment all required them to write and test their own code, and they also shared experience with each other and reported the locations where teammates died. The article also reviews work from the 2016 Malmo platform and the 2019 MineRL diamond-mining competition to 2022's OpenAI VPT and 2023's Voyager, among other efforts that use Minecraft to study AI.
, and produced a total of 63,300 lines of code. The four agents had no human-written programs to rely on; chopping trees, mining, and crafting equipment all required them to write and test their own code, and they also shared experience with each other and reported the locations where teammates died. The article also reviews work from the 2016 Malmo platform and the 2019 MineRL diamond-mining competition to 2022's OpenAI VPT and 2023's Voyager, among other efforts that use Minecraft to study AI.
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Convovo study: When forced to choose between two options, Grok 4.7 picks Republicans nine times out of ten, while GPT-6.1 Sol picks Democrats 97% of the time
A Convovo study of nearly 500 elections found that when forced to choose between two options via API, SpaceXAI's Grok 4.7 recommended the Republican candidate in 92% of responses, while OpenAI's GPT-6.1 Sol recommended the Democratic candidate in 97% of responses, with the two agreeing less than 10% of the time. The study also found that Grok frequently cited conservative sources, and that each API request carried about 1,240 additional tokens that researchers could neither view nor remove; after web search was disabled, GPT's Democratic lean persisted, while Grok's Republican lean disappeared, with 27 of 30 cases declining to choose. OpenAI responded that the test targeted the developer API and that the prompt explicitly required recommending a candidate, so it does not reflect the ChatGPT consumer experience, and that the consumer app would refuse to answer such questions.
ovo study of nearly 500 elections found that when forced to choose between two options via API, SpaceXAI's Grok 4.7 recommended the Republican candidate in 92% of responses, while OpenAI's GPT-6.1 Sol recommended the Democratic candidate in 97% of responses, with the two agreeing less than 10% of the time. The study also found that Grok frequently cited conservative sources, and that each API request carried about 1,240 additional tokens that researchers could neither view nor remove; after web
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Microsoft launches AI medical diagnostic system Diagnostic Orchestrator, achieving 83% accuracy on complex cases
Microsoft has announced a multi-agent medical diagnostic system called Diagnostic Orchestrator. The research results were published in Science on October 22, and an evaluation benchmark named SDBench was established. In tests based on case reports from the New England Journal of Medicine, the system's diagnostic accuracy was about 83%, compared with about 36% for general practitioners with access to reference materials; in emergency cases at Beth Israel Deaconess Medical Center, the system's accuracy was 80%, compared with an average of about 47% for human doctors. The system is powered at the underlying level by OpenAI's GPT-5. Microsoft emphasizes that the orchestration mechanism is equally critical, and plans to collaborate with hospitals on real-world testing, but has not yet announced a timeline or commercialization plan.
compared with about 36% for general practitioners with access to reference materials; in emergency cases at Beth Israel Deaconess Medical Center, the system's accuracy was 80%, compared with an average of about 47% for human doctors. The system is powered at the underlying level by OpenAI's GPT-5. Microsoft emphasizes that the orchestration mechanism is equally critical, and plans to collaborate with hospitals on real-world testing, but has not yet announced a timeline or commercialization plan.
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