Hey, in this issue: What data science is actually about in the age of AI; World modeling for physical AI; Forecasting with foundation models; What happens when your agent reads before it codes; A bitter lesson for data filtering; a short, practical CUDA GPU programming guide; and new open-weight models.
Research-driven agents: What happens when your agent reads before it codes
CUDA made simple: A short, practical GPU programming guide
[ChapterPal] A bitter lesson for data filtering
[Model] DiffusionGemma: 4x faster text generation
[Model] Command A+: an open-weight model for complex reasoning and multimodal agentic tasks—all while running on as little as two H100 GPUs
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