# Sparticle62ops/pssa

> PSSA is a research prototype language model written in Rust with no ML frameworks: a recurrent state-space core, an episodic memory bank, and plastic weights instead of transformer attention. The author reports it learns faster and generates text about 12x faster than a transformer on CPU at 1.5M parameters.

- Magnitude: 3.8 out of 10 — Early signal
- Stars: 27 total · +0 stars today, ≈ 15 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Rust · License: GPL-3.0 · Created: 2026-08-19 · Last push: 2026-09-30
- GitHub: https://github.com/Sparticle62ops/pssa · Page: https://gitnova.dev/en/r/Sparticle62ops/pssa

## Useful for

- Build and run the prototype with cargo build --release to train on your own corpus
- Compare PSSA and transformer learning curves on the same corpus and tokenizer
- Validate CPU gradients against the CUDA path via cargo test --release

## Why it’s here

- 0 stars so far today, about 15 expected by the end of the day. The usual pace is 0 per day, so that's 15× as much.
- Before this, the repository barely got any stars — about 0 per day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 42 days old and already has 27 stars.
- Hacker News: “PSSA: A non-transformer language model written from scratch in Rust” — 47 points, 2 h ago.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 2
- Issues and pull requests: 2
- Watchers: 0
- Average over the last week: 6 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 11

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-01 … 2026-09-30: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 0

## Hacker News

- PSSA: A non-transformer language model written from scratch in Rust — 47 points, 12 comments: https://news.ycombinator.com/item?id=49903993

## Spotted in now

- Spotted on Hacker News

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---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-30 06:09 UTC, updated every 30 minutes.