The PRC’s Token Economy Takes Shape
Executive Summary: Policymakers in the People’s Republic of China (PRC) want to improve “data supply” (数据供给) to “provide sufficient ‘fuel’ for the development and application of artificial intelligence” (为人工智能发展和应用提供充足“燃料”). This is according to a new plan from the National Data Administration (NDA,
«Технодинамика» увеличила квоты по целевым программам для студентов на 2026 год более чем в пять раз
预算名额将作为教育和专业赛道“Rostec. Arsenal”、“Rostec之翼”、“Rostec代码”和“Rostec. Quality”的一部分提供
Så tycker väljarna om vinster i skolan
今天我们知道，私立学校助长各种形式的种族和社会隔离，教师密度往往较低，学校成绩不佳，而且基本上无法让资源匮乏的学生入学。允许这些企业从我们的税金中提取利润而获得奖励，这是非常令人反感的。 In a society characterized by equality, solidarity and […]
Are We Trusting AI Too Much With eLearning Translations?
AI is speeding up eLearning translations, but human review, governance, and vendor expertise still decide quality.以下是企业如何平衡人工智能工具、内部团队和合作伙伴以实现可扩展的多语言学习。这篇文章首先发表在 eLearning Industry 上。
Overworked and Understaffed: Special Ed Teachers Turn to AI for Help
A fast-growing number of special educators nationwide are using AI to create customized education plans. Despite the risks, some research shows it could improve the quality of teachers' work.
How to Write Robust Code with Claude Code
Improve the quality of Claude Code output. 《如何使用 Claude Code 编写健壮的代码》一文首先出现在《走向数据科学》上。
The economics of Physical AI: Why data quality beats scale
为了达到物理 AI 社区所期望的鲁棒性水平，即在不熟悉的环境中对不熟悉的对象进行零样本部署的通才策略，数据集大小必须增长几个数量级。为了给出规模感，将逻辑扩展到 LLM 规模的数据量（大约 10^2）将需要大约 8000 万个机器人连续运行三年。 The field is therefore bottlenecked not only by compute or model architecture, but more fundamentally by the rate at which high-quality, real-world manipulation data can be gen
