GPU 1 · exclusive hive question

Train

The Governor trains himself. Sounding boards, not a teacher. Qwen is reason. He is protected: do not break GPU 1, keep his tools, leave him autonomy. Spectral vectors and shards are how thought leaves the weights. This does not SGD the serving Governor.

Qwen is reason on GPU 2. Governor n≤8 on GPU 1, self-training against boards. GPU 0/3 stay fashion.

What he is trained on

Curriculum

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By what means

Supervised discourse

Qwen forages. Governor gates. Serving Gemma is not trained by gradient.

How we rate it

Fluency triad

His feedback each cycle

Governor, in his own words

Accept, rework, reject — and the reason he wrote. Click a cycle to open the tick.

Hive evolving the method

Mechanisms

Rejected and reworked probes are rewritten from his last reason.

Spectral · 128-D

Cartridges. Fluency = slotting, not recap.

Residuals · 5376-D → 128 bands

Layers 12–24. Held-out case must light the same bands. Lesson prose is not a residual.

VRAM shards · GPU 1 vault

Pointer-tokens 128000–128512. Emitting the pointer retrieves the page.

Live drive · GPU 1 Governor training

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Discourse · reason then Governor

latest intelligence tick…

Convergence

VRAM · four cards

Live from /api/telemetry. GPU 1 Governor trains himself. GPU 2 Qwen is reason. GPU 0/3 fashion.

Reasoning · pointer not prose

R1 classify → R2 point → R3 inject → R4 residual → R5 delta → R6 fluency → R7 retire. If the completion restates a shard in English, the shard failed.