AI news for platform & agent engineers
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I am a solo founder/developer, my agents shipping 30 PRs a week, couldn’t see which part of product they were changing; existing arch tools die because humans won’t maintain the model — so I made the agents maintain i... Context & related coverage →
Agents powered by large language models (LLMs) have demonstrated remarkable progress in solving complex reasoning tasks. However, LLM agents often falter on long-horizon tasks due to cognitive overload, as their worki... Context & related coverage →
According to a paper published by Google, its AI-powered security agent has uncovered more than 500 XSS vulnerabilities across its web applications since entering full operation in January. PageBreak uses Gemini model... Context & related coverage →
Tool-use benchmarks often score agents by final task success, but terminal outcomes can obscure whether the intermediate tool-call trajectory was executable. We propose prefix executability as a trajectory-level evalu... Context & related coverage →
Data attribution methods for Language Models (LMs) are typically evaluated using downstream tasks like fact retrieval. However, existing evaluations vary multiple dataset properties simultaneously, making it impossibl... Context & related coverage →
Despite growing capabilities, LLMs remain susceptible to prompt injections: malicious inputs that can manipulate or hijack models. In particular, it has recently been observed that LLMs can exhibit role confusion (Ye... Context & related coverage →
OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent. Context & related coverage →