Teacher-reviewed research from the mnemo project. Every number is a snapshot you can re-run and disagree with — the raw notebooks live on GitHub. Confabulations get caught; the ones we couldn't verify are marked as such.
Estimated energy per token across the free-model swarm vs. a frontier model — EcoLogits + ML.ENERGY methodology, honest error bars. The swarm runs 50–200× leaner; the teacher review cuts that headline down to an upper bound and says why.
Read on GitHub →The OpenRouter catalog listed 22 free models. A one-sentence practice test found that listed is not working — exhausted pools, silent hangs, and four things "everyone knows" that the API response contradicts.
Snapshot on GitHub →More in the pipeline — retrieval without embeddings, per-task token budgets, the validator gate. The reports feed the mnemo diaries; the diaries cite the reports. Story and raw data, deliberately kept apart.
A claim is a claim — whoever makes it.
That includes our own numbers. mnemo is open source, built in public on a 12-core ARM server with no GPU. 5,000 GitHub stars keep it visible.
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