2026-04-24 14:22 UTC
This feels like further evidence that the #LLM race is less about the frontier itself, and more about the race to the bottom that is taking shape.
Frontier capability appears to have an increasingly short half‑life before it becomes:
– distilled
– sparsified
– quantized
– re‑expressed through MoE or routing tricks
…and made runnable on (admittedly high‑end) consumer or prosumer hardware. The “moat” is starting to look like months, not years.
🧵2/4
Replies (1)
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@mamba@mstdn.ca 2026-04-24 14:23
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