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Storia in 2 fonti

HarnessX rewrites AI scaffolding mid-task | VentureBeat

Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% for smaller open-weight models.

Raccontata daventurebeat.comgithub.blog

Confronto fonti

2 prospettive sulla stessa storia
AI · summaries
venturebeat.com9 g fa

Researchers introduce Self-Harness, a framework that lets AI agents rewrite their own rules, boosting…

Shanghai AI Lab introduce Self-Harness, che permette agenti AI di riscrivere autonomamente le regole operative dai propri failure pattern, con gain fino al 60%. Per i team tech elimina il costo di harness tuning manuale, abilita customizzazioni che si auto-adattano ai modelli base in production.

Leggi questa versione → originale
github.blog6 g fa

Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks

Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency.

Leggi questa versione →

Timeline cronologica

  1. lunedì 22 giugno 2026·venturebeat.com

    Researchers introduce Self-Harness, a framework that lets AI agents rewrite their own rules, boosting performance up to 60%

    Moving beyond manual debugging, Self-Harness empowers AI agents to test, evaluate, and rewrite the very logic that governs their behavior.

  2. mercoledì 24 giugno 2026·venturebeat.com

    HarnessX rewrites AI scaffolding mid-task | VentureBeat

    Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% for smaller open-weight models.

originale
  • venerdì 26 giugno 2026·github.blog

    Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks

    Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency.