Google Cloud AI Research 開源 Harness2，讓 AI 代理在不改動模型權重下，自行改寫提示詞、工具與記憶等外圍系統，並公布 3 項基準測試成績。 加入偏好來源 加入偏好來源 Google Cloud AI ...
Google解釋 ，LLM代理人的能力不只仰賴其底層模型，也需要執行框架（harness）。Google提出的遞迴式自我演進（recursive self-improvement, RSI）能自動提升框架能力。但在真實環境中執行RSI仍然面臨兩種困難 ...
Google open-sourced Harness2, a recursive agent harnessing framework that lifted GLM-5 11.5 points on WorkBuddy-Bench with ...
Los desarrolladores pueden leer y comprender fácilmente los programas de Python debido a su sintaxis básica similar a la del inglés. Python permite que los desarrolladores sean más productivos, ya que ...
When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can ...
Extracting from structure rather than generating informationThe amount of information on the internet continues to ...
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Google Research open-sources RRSI, letting agents improve prompts, tools and memory without overfitting, lifting Terminal-Bench 2.1 to 80.2%.
Want to bookmark your favourite articles and stories to read or reference later? Start your Independent Membership today. It is, perhaps, the ultimate promise of artificial intelligence: AI systems ...
What happens when artificial intelligence systems start to think for themselves, make themselves more powerful and escape human control in their quest to achieve superintelligence? That prospect has ...
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