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FlexAttention landed on Apple Silicon with up to a ~12x speedup on sparse patterns, and a new fused loss cuts training memory 4x. For a founder whose whole 'cluster' is one MacBook and one rented GPU, that's a budget line, not a footnote.
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PyTorch 2.13 brought the fused FlexAttention kernel to the Metal (MPS) backend. Here's the working code for the three masks you'll actually reach for — causal, sliding-window, and document-packed — on the Mac you already own.
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Cline v3.0.41 stopped context compaction from firing during an active turn. It's a one-line changelog entry and a real lesson: compaction is a scheduling problem, not just a token-budget one.
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