Ethan Mollick分享了AI驱动的分析见解，强调AI证实了基础学习的重要性。他还展示了AI能力的研究结果，特别指出开放权重模型在复杂、为期数周的咨询任务中保持显著优势，这一点由Artificial Analysis的AA-Briefcase分数表明。 AI
影响 AI分析复杂任务和证实学习原理的能力，为教育工作者和开发者提供了新的视角。
排序理由 该集群包含个人发布的社交媒体帖子，讨论AI相关的观察和数据分析。
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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
One thing we now know without a doubt as a result of AI is that doing the homework really does matter for learning.
I took the new AA-Briefcase scores from Artificial Analysis (basically having the AI do multi-week consulting gigs with a lot of complexity) and graphed the frontier curve for open and closed models: 1) Surprise, rapid gains! 2) The open weights gap is still quite real.