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INSANE: This 46 MB AI Model Runs 5x FASTER on My Laptop (Frozen Embeddings TESTED)
15d ago ยท English audio
A new paper (arXiv 2610.22428) says the learned embedding table in small language models is overpriced: replace it with a frozen 16 MB table of 512-bit codes and the model matches or beats the learned one on three of four benchmarks, a ternary version fits in 46 MB, and new words can be added after training at a 3% cost instead of 43%. I read the paper, pulled the repo, built the authors' CPU kernel on my ownโฆ
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Outlier score
This score was measured on Wed, 04 Nov 2026 17:30:39 GMT. Current view counts may differ.
2.5K views รท a 817 baseline = 3.0ร. Compared with 34 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.
YouTube snapshot: Wed, 04 Nov 2026 20:08:07 GMT. Counters may have changed.
Read the methodologyGenerative AI & Agents
Channel-balanced percentile: 30
Comparison details
192 videos from 122 other channels, with each channel weighted equally. Same format and language, with 10,000โ99,999 subscribers. Observed at 362 hours after publication, within ยฑ48 hours.
This describes the collected sample, not all of YouTube. Updated Wed, 04 Nov 2026 21:20:15 GMT.
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