@gerardsans
@wayama_ryousuke 🚨 TRINITY is sharp engineering. A 0.6B Qwen backbone, ~10k-param head reading penultimate hidden states, sep-CMA-ES tuning it to hand off between seven LLMs in a Thinker/Worker/Verifier loop. Token-efficient, benchmark-strong, and genuinely clever at test-time composition without touching weights. Credit where it's due. The science is where the story collapses. The "Plan/Act/Verify" loop is still pure textual puppetry. One model emits a plan, another emits steps, a third stochastic parrot emits ACCEPT or REVISE. No external verifier, no interpreter, no grounding in code execution or world state. Just more tokens judging more tokens until the turn budget expires. Stochastic parrots verifying stochastic parrots isn't reasoning. It's statistical mirror-gazing dressed as collaboration. The routing claim takes the same hit. Hidden-state space on these models is already cleanly separable by task label: SVM hits 100% on the obvious buckets. No hard intra-domain distinctions were stress-tested. What sep-CMA-ES actually did, across ~30k LLM calls and 60 iterations, was brute-force a high-dimensional lookup table for a decision surface a logistic regression on the same features would have found before lunch. No online learning, no policy gradient, no adaptation after the museum piece is frozen. The "evolution" is expensive offline calibration, not emergence. OpenRouter already routes dynamically and without the ceremony. Trinity demonstrates that heavy domain splitting plus brute-force coordinator tuning can squeeze SOTA numbers out of fixed benchmarks. That's real engineering. But calling it orchestration or emergent intelligence is the usual category error of anthropomorphic projection onto structured computation. It's a static classifier in a trench coat. Impressive demo. Not the scientific step-change the framing wants us to believe. No cost vs value analysis. They just burned lots of tokens for no good reason. Hello Research Tokenmaxxin. Unit economics? Not important until it is.