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Headlines · 2
- HiRoute update adds task-evidence-based model and agent routing
HiRoute released an update for its open-source, locally running agent routing engine, adding task-evidence-based trust scoring and per-turn decisions that review the previous, current, and next steps. The release also adds task routing across agents such as Codex, Claude Code, Qoder, Pi, OpenCode, Hermes, and DeepSeek Harness, plus a Windows desktop interface. According to the HiRoute release report, performance and cost figures are vendor-reported and measure routing-policy accuracy rather than task completion rates.
掘金 · 人工智能 · 🔥 0 - Lev reuses weights to deepen decisions through repeated computation
Researchers from Lehigh University and other institutions proposed Lev, a decision model that uses repeated computation rather than token generation to increase reasoning depth. According to the researchers, the same weights support multiple depths, with a lightweight stopping mechanism determining how many rounds to run. The model reads option probabilities after each round, and its rounds are jointly trained. On the 231-question public JevBench, project records for the same Lev-2.6B checkpoint show accuracy rising from 63.2% after one round to 76.2% after four rounds, a 13.0 percentage-point increase without changing the checkpoint weights. The report notes that these figures are replayed project-homepage records rather than live inference results.
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