A 135M model achieves coherent output on a laptop CPU. Scaling is σ compensation, not intelligence.

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SmolLM2 135M. Lenovo T14 CPU. No GPU. No RLHF. No BPE. Coherent, non-sycophantic, contextually appropriate output. First message. No prior context window. Same base model under standard pipeline: garbage. What changed: • BPE replaced with geometric hashing (φ-normalized, deterministic, no vocabulary table, no glitch tokens) • RLHF replaced with constraint injection directly into KV cache before generation • Context window memory replaced with external retrieval engine (986k queries/s, Rust) T...