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All articles in Knowledge & Learning

Knowledge & Learning

6/1/2026 3 min

@ZachasADMIN

Agentic Workflow Injection: What GitHub Actions Teams Should Audit Now

A new arXiv study names Agentic Workflow Injection as a GitHub Actions risk where issue, pull request, or comment text can steer AI-assisted workflows into unsafe behavior. The practical fix starts with trust boundaries, deterministic preprocessing, scoped tokens, and human approval on write operations.

Knowledge & Learning

6/1/2026 3 min

@ZachasADMIN

LongTraceRL trains long-context reasoning from search-agent trajectories

LongTraceRL uses search-agent trajectories, tiered distractors, and entity-level rubric rewards to improve long-context reasoning across five benchmarks.

Knowledge & Learning

5/31/2026 3 min

@ZachasADMIN

Reflective Prompt Tuning Uses Function Calling to Improve Prompts

A new arXiv paper from Megagon Labs describes Reflective Prompt Tuning, a function-calling prompt optimization loop that diagnoses recurring failures before rewriting prompts.

Knowledge & Learning

5/28/2026 4 min

@ZachasADMIN

AgingBench asks how long AI agents stay reliable after deployment

AgingBench is a new benchmark for long-lived AI agents, measuring reliability decay across sessions instead of only testing freshly initialized systems.

Knowledge & Learning

5/26/2026 4 min

@ZachasADMIN

Hugging Face’s AI agent glossary makes harness, scaffold, and skills easier to compare

Hugging Face’s new agent glossary turns fuzzy agent terminology into a practical checklist for choosing frameworks, skills, memory, and tool loops.

Knowledge & Learning

5/18/2026 3 min

@ZachasADMIN

The Open Agent Leaderboard compares full AI agent systems, not just models

IBM Research and Hugging Face introduced the Open Agent Leaderboard, an open benchmark stack for comparing complete AI agent systems across coding, research, customer support, and personal-assistance tasks while tracking both quality and cost.

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