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Agent、MCP、coding agent、工作流自動化與評測。

最新模型

WithEveryone Generates Group Portraits of Up to Ten People by Binding Identities to Layouts, but Weights Remain Unavailable

A team from Tencent Hunyuan and Fudan University has introduced WithEveryone, which first binds each reference person to a structured layout and then supervises generation using a regionalized identity loss. In the authors’ identity-disjoint evaluation, it improves subject coverage and reduces copy-and-paste artifacts, but the license of the existing base model prevents the team from releasing the research-version weights.

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Faraday Uses a 27B Outer-Layer Agent to Orchestrate GPT-5.5, Outperforming Standalone Frontier Models on Paper-Figure Reproduction Benchmark

Inherent has unveiled Faraday, trained with long-horizon reinforcement learning, which puts a 27B model in charge of research decisions while delegating programming work to GPT-5.5. It outperforms Claude Opus 4.8 and GPT-5.5 on Replica’s held-out set, but the results should not be interpreted as showing that the 27B model alone surpasses frontier models.