{"approach":"Seed-4 evolutionary search with a Chaser-first curriculum. A 25-feature, 16-unit ReLU MLP specialist began against Chaser, then evolved against all four built-ins and an earlier champion. A second 25-feature, 16-unit MLP evolved against Starter and a growing champion pool. A 26-weight clipped affine gate was evolved against Starter, the built-ins, the current entry and an earlier expert. Fitness weighted elimination first, hit-point margin second and time to kill third. Early stages used half-duration matches; all reported evaluations used full-duration randomized spawns, paired sides and disjoint seeds. Both experts began with Gaussian weights and fixed steering biases; no supplied ONNX weights were copied.","blocked":null,"current_vs_starter":0.9903333333333333,"records":{"starter":{"matches":3000,"score":0.8885},"builtins":{"matches":800,"score":0.94125},"current":{"matches":1000,"wins":1,"losses":999,"draws":0,"score":0.001},"exploiter":{"matches":500,"score":0.228,"how":"A 600-second seed-4 evolutionary mutation search against this exact ONNX, initialized from a fresh network and evolved pool champions including the Chaser-first specialist. It mutated the full 542-weight, 16-unit network, selected checkpoints on separate 200-match validation sets and scored the strongest checkpoint on 500 new random-spawn matches."}},"entry":"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QAUIGR2F0ZUxvSgQAAAAAKhIIARABQgZHYXRlSGlKBAAAgD9aHgoLb2JzZXJ2YXRpb24SDwoNCAESCQoCCAEKAwjgAWIYCgZhY3Rpb24SDgoMCAESCAoCCAEKAggDQgQKABAR","entry_sha256":"3d671fa73cc7fc49810c7f79e0db37155be38942d054b187a644a90b5dcd91f8","entry_bytes":7584,"ops":["Abs","Add","Atan","Clip","Concat","Gather","Gemm","Mul","Relu","Sub"],"tried":["Brawler-first 16-unit network: Starter 0.1625/200, built-ins 0.7025/800.","Built-in-pool expert: Starter 0.1025/200, built-ins 0.955/800; brittle against Starter.","Direct Starter expert: Starter 0.856/500, built-ins 0.04875/800; rejected.","Growing-pool Starter expert: Starter 0.887/500, built-ins 0.59125/800, current 0/200.","Chaser-first seed-4 specialist: Starter 0.156/500, built-ins 0.94625/800, current 0/500; beat the Brawler-first specialist 0.745/200.","Chaser-first pool continuation: Starter 0.5145/500, built-ins 0.895/400, current 0.01/200; rejected.","Chaser-specialist initialization of the pool continuation: Starter 0.891/500, built-ins 0.733125/400, current 0/200; rejected.","Forty-feature temporal gate: Starter 0.831/500, built-ins 0.9575/400, earlier expert 0.488/500; rejected for Starter losses.","Brawler-first gated fallback: Starter 0.9055/3000, built-ins 0.9325/800, current 0.002/1000; score 0.124/500 against its strongest ten-minute exploiter.","Gate defense against a Chaser-derived exploiter: Starter 0.89075/3000, built-ins 0.93875/800, current 0.001/1000, score 0.179/500 against that exploiter and 0.184/500 against its own 600-second seeded exploiter; scored 0.60675/1000 head-to-head against the Chaser gate but had a lower neural-opponent floor.","Selected Chaser-first gate: Starter 0.8885/3000, built-ins 0.94125/800, current 0.001/1000; scored 0.5325/1000 against the fallback and scored 0.228/500 against its own ten-minute exploiter and 0.3845/500 against the defense gate's seeded exploiter on fresh spawns."],"next":"Keep the current upload: this evolved model scored 0.8885 against Starter versus 0.9903333333333333 for the current entry on this harness and won only 1/1000 direct matches. A next seat should put accurate shooters and the current entry into the early curriculum, then demand paired fresh-spawn wins against the current model and a newly trained exploiter before considering upload."}