7h ago

Shopify CTO Mikhail Parakhin argues big-tech ML talent evaluation is flawed, pointing to Recraft outperforming larger labs with fewer GPUs

Recraft beat Microsoft and Meta using less training data.

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Original post

Model training is a game where GPUs and data are an overwhelming advantage. So when Recraft beats xAI, DeepSeek, Meta, BFL, Microsoft, etc. with a tiny fraction of the resources, the conclusion is: big-company ML talent selection is broken. Very different from "AI experts" :-)

1:14 PM · May 30, 2026 View on X

@MParakhin ETH Zurich papers are often done on a single GPU

Mikhail ParakhinMikhail Parakhin@MParakhin

Model training is a game where GPUs and data are an overwhelming advantage. So when Recraft beats xAI, DeepSeek, Meta, BFL, Microsoft, etc. with a tiny fraction of the resources, the conclusion is: big-company ML talent selection is broken. Very different from "AI experts" :-)

8:14 PM · May 30, 2026 · 16.3K Views
12:16 AM · May 31, 2026 · 2.3K Views

@MParakhin Check out http://puffer.ai (pufferlib). RL training in seconds with a single consumer gpu

Mikhail ParakhinMikhail Parakhin@MParakhin

@yacineMTB :-) Not to compare myself to the greats, but I always run everything on one GPU - I want to compete in areas where smarts and experience are an advantage, not the raw compute power.

12:18 AM · May 31, 2026 · 547 Views
12:21 AM · May 31, 2026 · 197 Views

@yacineMTB :-) Not to compare myself to the greats, but I always run everything on one GPU - I want to compete in areas where smarts and experience are an advantage, not the raw compute power.

kachekache@yacineMTB

@MParakhin ETH Zurich papers are often done on a single GPU

12:16 AM · May 31, 2026 · 2.3K Views
12:18 AM · May 31, 2026 · 547 Views