Emerging research consensus: architecture tweaks are efficiency fixes, RL compute drives capability
burny_tech · x · 2026-09-23
In a discussion with Sebastian Raschka (@rasbt), burnytech notes an emerging open-research consensus: recent architectural tweaks are mostly efficiency optimizations, while the primary driver of capability gains is shifting to better RL environments and more RL compute, plus improved pretraining data.
burnytech voices concern that this consensus shouldn't discourage the search for paradigm-shifting architectures and training algorithms, warning against settling too deep into the current local optimum of architectures.
Related event: Research consensus: RL compute, not architecture, drives capability(2 posts)→
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