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Ken Jin's blog describes Python 3.15's new ultra-low overhead interpreter profiling mode that uses dual dispatch tables to enable efficient trace recording for the JIT compiler, reducing slowdown compared to previous approaches.
Akashic introduces MemAttention, a low-overhead memory system for LLM inference that organizes context into bounded chunks and models semantic relationships, improving accuracy by up to 10.2 points and throughput by up to 1.21× over prior baselines.