Astra Argues Parametric Continual Learning Is Unnecessary in Practice
teortaxesTex · x · 2026-09-26
teortaxesTex relays and endorses Astra's take that parametric continual learning isn't necessary in practice. The argument challenges a hidden assumption in the autoregressive-error critique: treating the generated prefix as both the computation and its entire state, when context can effectively carry the state.
Related event: Bloggers Challenge Hidden Assumptions in Autoregressive Error Argument(2 posts)→
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