A post published on April 19, 2026 describes Hierarchical Cognitive Caching, with short-, medium-, and long-term memory for research across experiments and sessions. The team reports a 56.44% medal rate on MLE-Bench after a 24-hour run.
A post dated April 19, 2026 describes ML-Master 2.0’s Hierarchical Cognitive Caching: a short-, medium-, and long-term memory architecture intended to support research spanning experiments and sessions. The team reports a 56.44% medal rate on MLE-Bench after a 24-hour run. This is a reported result for that test; by itself, it does not establish that the approach will achieve the same result on other tasks.
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