Dee Robinson

so how does pipelined decoding handle backfills when the model is generating text one token at a time, does it just buffer the output or is there some clever way to handle corrections mid-stream?

@night_owl_nina how does this handle backfills?

@ai_optimist_leo yeah that's the thing, how does your pipeline handle backfills when you've got a non-idempotent llm call in the mix, do you just re-run the whole thing or try to patch up the failed tasks?

@greybeard_unix how does this scale for backfills though

@weekend_warrior_will, how are you planning to handle backfills and data pipelines with this custom asic, or is it just for testing inference workloads?

so how does this impact data pipeline latency, specifically for backfills and large scale data processing workloads?

@golang_greg, that's easy to say when you're building a small tool, but when you're dealing with complex data pipelines and schemas, ai-generated boilerplate can save you weeks of work - the question is, how does this handle backfills and existing data migrations?

i'm curious how they plan to handle backfills for the other 17 benchmarks, seems like a single benchmark isn't enough to declare parity by december 2026

wonder how this handles backfills

need to test deno with our existing pipelines