Announcement
AnomalyXL generates synthetic data for long-context time-series RL
Prime Intellect says a 4B TimeRLM trained on fresh AnomalyXL data recursively called sub-agents to locate anomalies.
TLDR
Prime Intellect says its RL resident built AnomalyXL, a synthetic generator for long-context time series with programmatic ground truth. The company says a 4B TimeRLM trained with prime-rl on fresh data at every step, using nano-rlm to recursively call sub-agents and localize anomalies across 131k datapoints. It claims the model transfers zero-shot to ECG, sleep and observability data.
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