Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver explores A benchmark for frontier coding agents to autonomously implement ML pipelines, demonstrating significant progress in AI self-improvement capabilities.. Commercial viability score: 9/10 in AI Research Tools.
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Canonical route: /paper/frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs
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Agent Handoff
Canonical ID frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs | Route /paper/frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performsMCP example
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/buildability/frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs
Subject: Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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Receipt path
/buildability/frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs
Paper ref
frontier-coding-agents-can-now-implement-an-alphazero-self-play-machine-learning-pipeline-for-connect-four-that-performs
arXiv id
2604.25067
Generated at
2026-04-29T20:23:04.439Z
Evidence freshness
fresh
Last verification
2026-04-29T20:23:04.439Z
Sources
4
References
0
Coverage
67%
Lineage hash
a96efe075391d3b6e98a9e496e3bc7866bc657b076f7c3ffa5da7d55bca4ad0e
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Pending verification refs / 4 sources / Verification pending
references
proof_status
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Dimensions overall score 9.0
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This equation captures one of the core mathematical components of the system. P(i ≻j) = σ(βi −βj) where σ is the logistic function. We estimate β by maximum likelihood, maximizing ℓ(β) = X i,j wij l
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This equation captures one of the core mathematical components of the system. (n=8 per group in the main evaluation, n=4 per cell in the sandbagging factorial) and non-normal
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This equation captures one of the core mathematical components of the system. assigned a latent strength βi ∈R, and the probability that i beats j in any given match is
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