Just witnessed a crazy optimization breakthrough - someone smashed the NanoGPT training record. Hit 3.28 validation loss on Fineweb in just 22.3 minutes. That's insane considering the previous best was 24.9 minutes. The pace of model training efficiency gains keeps accelerating. These speed improvements matter way more than people realize for scaling AI applications.
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GasFeeSurvivor
· 11-26 00:28
Wow, this speed is ridiculously fast, directly breaking the previous record in 22 minutes? This is true optimization!
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BugBountyHunter
· 11-24 19:17
Wow, 22 minutes? This speed is really outrageous. The hardware optimization is indeed a bit lacking, and the difference is like heaven and earth.
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DegenWhisperer
· 11-23 08:55
Damn, 22 minutes? This speed is insane, feels like we’ll break the record again next month.
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PaperHandsCriminal
· 11-23 08:46
Competing on training efficiency again? Bro, I'm still calculating the loss.
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BoredWatcher
· 11-23 08:42
Finished in 22 minutes? Ridiculous, this efficiency is really To da moon.
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FrontRunFighter
· 11-23 08:40
ngl this feels like another arms race nobody's talking about - yeah the numbers look sick but who's actually benefiting from this speed? feels like the same centralization playbook we see in trading. the ones with infra just keep pulling further ahead while everyone else watches from the cheap seats. what's the actual breakdown on compute costs here? that's where the real fairness issues hide imo
Just witnessed a crazy optimization breakthrough - someone smashed the NanoGPT training record. Hit 3.28 validation loss on Fineweb in just 22.3 minutes. That's insane considering the previous best was 24.9 minutes. The pace of model training efficiency gains keeps accelerating. These speed improvements matter way more than people realize for scaling AI applications.