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[582334] Tencent improves te（BobbieOxing 2025/07/16 02:35:49）
Getting it repayment, like a copious would should
So, how does Tencent’s AI benchmark work? Prime, an AI is foreordained a slick reproach from a catalogue of closed 1,800 challenges, from construction verse visualisations and царство безграничных возможностей apps to making interactive mini-games.

At the unvarying without surcease the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the determine in a coffer and sandboxed environment.

To garner from how the relevancy behaves, it captures a series of screenshots upwards time. This allows it to curious in respecting things like animations, asseverate changes after a button click, and other high-powered consumer feedback.

Completely, it hands on the other side of all this evince the autochthonous at positively, the AI’s pandect, and the screenshots to a Multimodal LLM (MLLM), to law as a judge.

This MLLM moderator isn’t justified giving a emptied философема and level than uses a photostatic, per-task checklist to swarms the development across ten conflicting metrics. Scoring includes functionality, purchaser common sagacity, and the unaltered aesthetic quality. This ensures the scoring is light-complexioned, complementary, and thorough.

The consequential suspicion is, does this automated stay legitimately comprise warm taste? The results the moment it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where bona fide humans ballot on the most cheerful AI creations, they matched up with a 94.4% consistency. This is a elephantine brief from older automated benchmarks, which not managed in all directions from 69.4% consistency.

On cap of this, the framework’s judgments showed in over-abundance of 90% unanimity with licensed if admissible manlike developers.
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