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Zhiqing Sun
@EdwardSun0909
Lead agent research @Meta MSL TBD Lab. previously posttraining/agent research @OpenAI. CS PhD @LTIatCMU
San Francisco, CA
cs.cmu.edu/~zhiqings/
Joined August 2015
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  • Pinned
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    Zhiqing Sun
    @EdwardSun0909
    Jul 9
    Excited to share Muse Spark 1.1 with you! It’s our first model available in the API, built to excel in agentic and coding. I’m incredibly proud of what the team has achieved in such a short time, from 1.0 to 1.1. The momentum is high, and we’re still training larger models!
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    Mark Zuckerberg
    Meta
    @finkd
    Jul 9
    (1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
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    Zhiqing Sun
    @EdwardSun0909
    Aug 3
    Congrats to the Qwen CUA team on releasing a sota model!
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    Dunjie Lu
    @DunjieLu1219
    Aug 2
    💻 Meet Qwen-CUA — our native computer-use agent for (almost) everything. Code, APIs, and computer use are three of the most important interfaces for agents. Today’s models are already highly capable with the first two. Qwen-CUA is built to unlock the third: graphical interfaces
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    Zhiqing Sun
    @EdwardSun0909
    Jul 31
    muse spark 1.1 is a good model
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    Mercor
    @mercor_ai
    Jul 31
    Replying to @mercor_ai
    No model tested on APEX-Accounting could reliably close the books yet. We ran every model on every task eight times. Even the most consistent model got a task right in all eight runs just 2.6% of the time. 58% of tasks were never fully solved by any model on any run.
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    Zhiqing Sun
    @EdwardSun0909
    Jul 17
    Congrats to Kimi friends!
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    Kimi.ai
    @Kimi_Moonshot
    Jul 16
    Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional
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    Zhiqing Sun
    @EdwardSun0909
    Jul 9
    Muse Spark 1.1 is industry competitive on real world long-horizon computer use across desktop, browser, and mobile
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    01:49
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    Alexandr Wang
    Meta
    @alexandr_wang
    Jul 9
    Replying to @alexandr_wang
    3/ computer use: it can operate desktop, browser, and mobile. muse spark 1.1 is trained to know when to automate and when to use interfaces directly. it scripts when that’s faster, clicks when direct interaction is simpler, and batches actions at each step.