CTO@Zoom
Bellevue, WA
Joined January 2009
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From a question to a working app in 5 min with ZAS AI API! lnkd.in/p/gMchqyyT
Zoom AI API Scribe is more robust than industry’s leading options in the noisy world: lnkd.in/p/gw78bCWe
Zoom AI Scribe API open to all developers linkedin.com/posts/xdhuang_o…
Zoom’s amazing customer support agentic AI breakthrough linkedin.com/posts/xdhuang_f…
Zoom’s federated AI engine can scale up and scale out on the hardest SOTA linkedin.com/posts/xdhuang_z…
There’s been increasing discussion around Zoom AI’s leading performance on Humanity’s Last Exam (HLE)—one of the most demanding benchmarks in AI today. I want to step back and highlight what truly matters here: this is not just a strong technical result, but a shift in how AI should be built and deployed in the real world.
For too long, progress in AI has been framed as a competition between individual models—their size, parameters, and raw capabilities. But in enterprise reality, value doesn’t come from having the “best” model. It comes from how well models are orchestrated: the ability to reason across steps, validate outputs, correct errors, and reliably drive work to completion in complex environments.
That’s why Zoom never bet on a single model. From the beginning, we’ve focused on building a federated, multi-agent AI system—one where multiple frontier models collaborate, cross-check one another, and complement each other’s strengths. This system-level approach is what enables Zoom AI to outperform any standalone model on a growing set of challenging tasks.
Humanity’s Last Exam is not a one-off result. The same methodology has delivered strong outcomes across other difficult evaluations as well, reinforcing our belief that the future of AI is collaborative, resilient, and built for real work—not just benchmarks.
Zoom AI teams achieved a new state-of-the-art score of 48.1% on the highly challenging Humanity’s Last Exam (HLE), marking a major breakthrough for our Federated AI strategy. We have unlocked stronger capabilities in exploration, reasoning, and multi-model collaboration, surpassing the performance limits of any single model. zoom.com/en/blog/humanitys-l…
