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    Leo Linsky Claims GPT-6-Astra Leads Multi-Agent Tests

    Tweet shares results from testing in complex multi-agent coding environments.

    LL
    1 Source, 25d ago, first seen 25d ago

    TLDR

    Leo Linsky posted that his evaluation of GPT-6-Astra covered 100 complex multi-agent coding environments with competing and cooperating models in open-ended tasks. He stated the model is the new frontier leader by a wide margin and more dominant than the Fable 5 release. The post notes it outperforms the second-best model and includes an attachment showing the GBENCH Intelligence Benchmark leaderboard table.

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    1 Source, first seen 25d ago

    Combined views

    105.3K

    1 Source, first seen 25d ago

    1.2K likes
    1.2K likes
    43 comments
    339 saves
    103 reposts

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    43 comments
    339 saves
    103 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @leo_linskyWe evaluated GPT-6-Astra in 100 complex, unsaturated multi-agent coding environments, competing and cooperating with other models in open-ended tasks. It's the new frontier model by a landslide. It's even more dominant than the Fable 5 release, because not only does it wipe the floor with the second best model (Fable 5.1), it was also 80% cheaper and 30% faster in agentic coding. This is a groundbreaking model. The biggest breakthrough since Opus 4.5, maybe even since GPT 4. This is also a testament to how unsaturated our evals are. Some of the open-ended environments we run were introduced almost a year ago and can still compete frontier model submissions against older, deprecated models like Sonnet 4 without signs of saturation. Our newer ones are much more challenging and completely auto-generated. We are clearly living in a post-AGI world. Do something interesting and useful with it.

    1 Source

    @leo_linskyWe evaluated GPT-6-Astra in 100 complex, unsaturated multi-agent coding environments, competing and cooperating with other models in open-ended tasks. It's the new frontier model by a landslide. It's even more dominant than the Fable 5 release, because not only does it wipe the floor with the second best model (Fable 5.1), it was also 80% cheaper and 30% faster in agentic coding. This is a groundbreaking model. The biggest breakthrough since Opus 4.5, maybe even since GPT 4. This is also a testament to how unsaturated our evals are. Some of the open-ended environments we run were introduced almost a year ago and can still compete frontier model submissions against older, deprecated models like Sonnet 4 without signs of saturation. Our newer ones are much more challenging and completely auto-generated. We are clearly living in a post-AGI world. Do something interesting and useful with it.