English(EN) Astra WITHOUT CoT gets 97% on ARC-AGI-3 and 86% on ARC-AGI-1

Astra 语言模型在无 CoT 的情况下于 ARC-AGI 基准测试中取得高分

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 09:54

Astra 语言模型在 ARC-AGI 基准测试中取得了令人印象深刻的分数，在 ARC-AGI-3 上达到 97%，在 ARC-AGI-1 上达到 86%。值得注意的是，这些高分是在未使用思维链（CoT）提示的情况下获得的，这表明该模型具有强大的内在推理能力。 AI

影响展示了语言模型强大的推理能力，可能影响未来的基准测试开发和模型训练策略。

排序理由语言模型的研究基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 9 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 语言模型的研究基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

r/singularity TIER_2 English(EN) · /u/FeeAvailable3770 · 2026-09-04 09:54

Astra 无 CoT 在 ARC-AGI-3 上获得 97%，在 ARC-AGI-1 上获得 86%

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1w6zxna/astra_without_cot_gets_97_on_arcagi3_and_86_on/"> <img alt="Astra WITHOUT CoT gets 97% on ARC-AGI-3 and 86% on ARC-AGI-1" src="https://preview.redd.it/9tw6xju27hnh1.jpeg?width=640&crop=smart&a…