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Re:The Bitter Lesson is coming for Tokenization by mgraczyk on Tuesday June 24, 2025 @03:14PM (#44369860)
This is only ideally true. From the perspective of the user of a large closed LLM, this isn't quite right because of non-associativity, experiments, unversioned changes, etc.

It's best to assume that the relationship between input and output of an LLM is not deterministic, similar to something like using a Google search API.

Re:The Bitter Lesson is coming for Tokenization by ijk on Tuesday June 24, 2025 @03:28PM (#44370022)
And even on open LLMs, GPU instability can cause non-determinism. For performance reasons, determinism is seldom guaranteed in LLMs in general.
Re:The Bitter Lesson is coming for Tokenization by rar00 on Wednesday June 25, 2025 @08:36AM (#44376582)
yep, even with greedy sampling and fixed system state, numerical instability is sufficient to make output sequences diverge when processing the same exact input