How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip
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Unofficial Hacker News client; not affiliated with Y Combinator.
How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip
Unofficial Hacker News client; not affiliated with Y Combinator.
pama · · focus · HN ↗
> When the first chips came back from the foundry in May, the team pointed its internal AI models at designing software to run benchmarks such as SemiAnalysis’s InferenceX. On DeepSeek’s multi-head latent attention kernel benchmark, performance climbed from 0.31 percent of the theoretical ceiling (set by the chip’s compute and memory bandwidth) to 88.94 percent in roughly 40 hours. Ho says this result is repeatable, so the time between when foundries deliver the first chips and when production ramps up can be reduced. “All our schedule assumptions are going to be based on the fact we have this capability now,” he says.
wmf · · focus · HN ↗
LoganDark · · focus · HN ↗
saidnooneever · · focus · HN ↗
RussianBot9580 · · focus · HN ↗
They'd write a limited test for a feature based on an ask from the software team garbled by a five layer game of telephone. Claim that the module passed validation. A few months later the software folks would have to pull a few all nighters to figure out how to work around the resulting turd during bringup.