V4.1 trains smoothly without dense warmup tuning: more complex algorithm, simpler information flow
teortaxesTex · x · 2026-10-03
teortaxesTex argues that architectural complexity is shifting: v4.1 required no dense warmup tinkering and trained smoothly. The architecture is "more complex" in minimal description length but enables simpler information flow, which is why it will get scaled up.
- Quoted post notes CSA (Causal Encoder/self-decoder) remains while HCA — the easiest one — was removed; Engram, token filtering, and index reuse each add complexity while boosting performance.
- Key take: complexity shouldn't be measured by human cognition anymore; performance gains are what matter.
- v4.1 stands out with lower prefill compute cost and smaller KV cache.
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