Skip to content

Translation in progress Some entries still include text in the original language.

阿里巴巴 · Qwen · News

Oct 12 · Monday

阿里巴巴 · Qwen · News

Latest publications and developments
Oct 10Sat
  1. Command LineCommand Line · 20

    Microsoft releases decision scoring model Microsoft-Decision-1

    Microsoft released the model Microsoft-Decision-1 for rapid decision scoring, now available on Microsoft Foundry and callable via OpenRouter. The model is post-trained from Qwen3.5-9B, outputs calibrated probability scores for fixed options, achieves the highest accuracy in comparisons across 36 benchmarks, and has a P50 latency about 35 times faster than GPT-6 Sol. Across 5,250 requests on 11 benchmarks, it refuses harmful behavior while maintaining utility, with an average decision flip rate of 1.3% under 8 perturbations.

Oct 7Wed
  1. epoch.ai, Epoch AI · 3 sourcesepoch.ai · 3 sources · 4 reports · ↑162

    Epoch AI evaluation: frontier models still struggle to independently reproduce ML innovations

    Epoch AI released the InnovationEval benchmark, testing whether frontier AI can independently discover machine learning algorithm innovations that are new to it, benchmarked against the Self-Distillation Policy Optimization (SDPO) proposed in a human paper. The task requires an agent to start from GRPO and develop new post-training improvement methods, improving short-answer and coding task performance on Qwen3-8B, with a budget of 3,000 GPU hours. Results show that GPT-5.6 Sol and Claude Fable 5 both did not come close to SDPO: Sol's method, adjusted for the same wall-clock time, reached only 15% of SDPO's gain, or about 35% under lenient scoring; Fable 5 showed no measurable improvement. Both merely reused known techniques. Epoch AI also estimates that, based on AI chips shipped before 2027, if cheap models are run, the world could support nearly 2 billion concurrent AI agents, while running frontier models would support about 30 million to 170 million; the cost of reaching a fixed AI performance level has fallen about 47% per quarter over the past three years.

  2. POLITICO Europe Technology · 25

    德国搜索引擎 Ecosia 弃用 Mistral,转向千问、GLM、Kimi 等中国开源模型

    柏林搜索引擎 Ecosia 弃用法国 Mistral,转与中国开源模型平台 Melious 合作,接入千问、GLM、Kimi 等模型,成本约减半并提升质量与性能。CEO Christian Kroll 称 Mistral 模型"落后一年",并抱怨服务器过载等技术问题;Mistral 联合创始人 Guillaume Lample 回应称新模型 Large 4 已发布,愿提供早期访问。Kroll 承认中国模型存在审查偏差,但认为可通过技术手段处理。

Apr 5Sun
  1. microsoft/fara · 27

    微软 Fara1.5 发布:如何为 Computer Use Agent 构建验证器

    微软发布 Fara1.5 系列原生 Computer Use Agent,含 4B/9B/27B 三个规模,基于 Qwen3.5 并用 FaraGen1.5 数据监督微调,权重已上线 Hugging Face 与 Microsoft Foundry。Fara1.5-9B 在 Online-Mind2Web 达 63.4%、WebVoyager 达 86.6%,Fara1.5-27B 在 Online-Mind2Web 达 72.3%,超过 OpenAI Operator 和 Gemini 2.5 Computer Use 等更大规模专有系统。FaraGen1.5 由环境、求解器与三类验证器组成,分别过滤任务正确性、效率与关键节点合规性,训练混合约 200 万样本。

You have reached the end