System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
本文讲清 Harness² 解决什么问题、机制怎么跑通、实测数据、社区落地与未来边界。 做 Agent 的同学大概都有过这种感受：同一个大模型，换一套提示词、工具编排和记忆策略，干活稳定性就能差 ...
In particular, LLM-based AI agents have demonstrated strong coding capabilities, while harness engineering has further enhanced their ability to interact with the external world, execute actions, and ...
New Phase 2 REC-4881 data presented at CGA-IGC in an expanded adult population aged 18 years and older show deep, durable polyp burden reductions in FAP, with activity throughout the GI tract and in ...
In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...
GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.
Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
Gitleaks tutorial: scan git history, block secrets with a pre-commit hook and gate pull requests in GitHub Actions. 12 steps, ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
Google Harness 2 enables AI agents to dynamically adapt workflows without training. Smaller models can outperform larger ones ...
OpenHands local setup in 12 steps: run Agent Canvas with Ollama and a local Qwen model in sandboxed Docker, plus a preflight ...
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