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@mamba@mstdn.ca

2026-04-24 14:23 UTC

Once that dynamic holds, parameter count and raw benchmark leadership matter less than: – how well a model compresses without semantic collapse – inference efficiency per token, not just throughput – tolerance for aggressive quantization and KV‑cache pressure – and tight co‑design across architecture, compiler, and hardware assumptions This is systems work, not just model work. 🧵3/4

Replies (1)

  • @mamba@mstdn.ca 2026-04-24 14:24

    If that’s right, the long‑term advantage shifts away from who reaches the summit first, and toward who can turn the summit into a plateau fastest, cheaply, repeatably, and close to the edge. That diffusion, not the frontier spike, feels like the genuinely disruptive force this cycle. 🧵4/4 #ai #llm #gpt #deepseek #frontier #selfHosted

    Open ##5362350