this post was submitted on 18 Aug 2026
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Obviously if you can run frontier quality models on consumer hardware then the quality of models you can run in a data center will let you hit AGI. Unless there's any sort of diminishing returns in quality when increasing model size.
But in seriousness Qwen3.8 was trained in a data center. It takes way more VRAM and compute to train a model than to run one.
There is actually.
ZWQbpkzl is being sarcastic, the line after says "but in seriousness"
(edit pronouns sorry)
Thank you for your service.
Nah, they redefined getting 20% better results for 10x the cost as "not diminishing returns actually" years ago.
why is this obvious?
ZWQbpkzl is being sarcastic, the line after says "but in seriousness"
(edit pronouns sorry)
thank you
I try