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PhysiQuanty

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Theoretical Physics, Invariant Tokenization, Standard Model of Particle Physics Applied ML ๐Ÿ‡ซ๐Ÿ‡ท

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liked a model about 2 hours ago
Quazim0t0/neural-storage
liked a model about 2 hours ago
Quazim0t0/neural-ddr
repliedto Quazim0t0's post about 2 hours ago
๐Ÿงฉ Verified neural units, now for memory & storage Following up on my neural-aarch64-units (small MLPs that emulate CPU datapath slices, verified bit-exact over their entire finite input domain โ€” N/N), I applied the same discipline to memory and storage. Three new repos: ๐Ÿ”ท neural-ddr โ€” verified units emulating DDR5 logic: DBI (256/256, 512/512), ADDR_MAP (4096/4096), CMD_DECODE (32/32), WR_CRC (512/512), and on-die ECC ODECC (256/256, 3328/3328). Composed into a bridge that presents DDR5 behavior over real DDR3/DDR4 RAM โ€” flip a bit in every stored byte, ECC corrects all of them. ๐Ÿค— https://huggingface.co/Quazim0t0/neural-ddr ยท ๐Ÿ’ป https://github.com/quzi93/neural-ddr ๐Ÿ—„๏ธ neural-storage โ€” a self-healing vault on a neural-verified GF(2โธ) core (LOG/EXP compose to a multiply verified over all 65,536 pairs). Content-addressed dedup + Reed-Solomon so any k of n shards rebuild the whole, plus a whole-drive โ†’ self-healing .pt imager. ๐Ÿค— https://huggingface.co/Quazim0t0/neural-storage ยท ๐Ÿ’ป https://github.com/quzi93/neural-storage ๐Ÿ’ฟ neural-cd-preserve โ€” scan a disc into a self-healing .pt that detects (per-shard SHA-256) and repairs bit-rot, restoring bit-exact even from a damaged copy. Beyond the RS limit it's flagged LOST, never silently wrong. ๐Ÿค— https://huggingface.co/Quazim0t0/neural-cd-preserve ยท ๐Ÿ’ป https://github.com/quzi93/neural-cd-preserve Build your own: golden finite function โ†’ enumerate the domain (decompose big/linear ops like CRC/ECC/GF into bit/byte slices) โ†’ train a small MLP โ†’ verify must be bit-exact on 100% of inputs or it's rejected โ†’ compose. Every repo ships the training + exhaustive-verification scripts. Honest by construction: dedup removes redundancy, erasure coding adds it, ECC corrects faults โ€” none of it pretends to beat entropy. Runs on modest/older hardware. ๐Ÿค—
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