Show HN: Sparse kernel delivering 36% higher training throughput
I developed a custom GPU kernel in Triton to accelerate training with a sparse feed-forward network (FFN).With K=256, activating 256 of 4,096 FFN neurons per token…
My company is pretty paranoid about leaking IP to the frontier labs through prompts, so we've all been diligent about disabling data sharing in Codex/Claude Code/etc. But yesterday my coworkers and I noticed that the setting had been silently reenabled in Codex. None of us knowingly opted back in.You can check your settings here: https://chatgpt.com/settings/data-controls. Look for "Improve the model for everyone".Curious if this is an isolated issue or something more widespread.EDIT: looks like this has been noted before https://news.ycombinator.com/item?id=49643556
Comments URL: https://news.ycombinator.com/item?id=50352757
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