Tensors are data containers. They hold the numbers. The host provides the math. This separation keeps Mog scripts portable, safe, and small — a script that prepares tensors and calls host capabilities works the same whether the host runs on a laptop CPU or a cluster of GPUs.
interleaving them has no cache benefits, and makes it difficult
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A recent paper from ETH Zürich evaluated whether these repository-level context files actually help coding agents complete tasks. The finding was counterintuitive: across multiple agents and models, context files tended to reduce task success rates while increasing inference cost by over 20%. Agents given context files explored more broadly, ran more tests, traversed more files — but all that thoroughness delayed them from actually reaching the code that needed fixing. The files acted like a checklist that agents took too seriously.
雪上加霜的是，公司的 “第二曲线” 还崩了。
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