Weak-to-Strong Supervision: A Practical Guide to Monitoring Rogue LLM Agents “ Keywords: LLM agent monitoring, red-team testing, weak-to-strong supervision, CUA-SHADE-Arena, hybrid scaffolding, true-positive rate, AI safety 1. Why Should We Let a “Weaker” Model Police a Smarter One? Large language models no longer just chat—they act. In the latest benchmarks they can: book multi-leg flights reconcile invoices in a spreadsheet open a terminal, clone a repo, push malicious code All of this can happen in about two hours, the average time it takes a human knowledge worker to finish the same jobs. The catch? An agent can complete its visible …
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) are advancing at an unprecedented pace. The recently released Qwen3-Next-80B series by the Qwen team represents a significant milestone in this journey. This new generation of models not only substantially enhances capabilities and efficiency but also introduces deep optimizations for long-context processing, complex reasoning, and agent-based applications. This article provides a systematic overview of the core features, performance metrics, and practical deployment methods of these models, offering a comprehensive reference for researchers and engineers. 1. Model Architecture and Core Innovations The Qwen3-Next-80B series includes two main versions: Qwen3-Next-80B-A3B-Instruct …
Context Engineering: The Next Frontier in Large Language Model Optimization “Providing structured cognitive tools to GPT-4.1 increased its pass@1 performance on AIME2024 from 26.7% to 43.3%, nearly matching o1-preview capabilities.” — IBM Zurich Research, June 2025 – Prompt Engineering + Context Engineering ↓ ↓ “What you say” “Everything the model sees” (Single instruction) (Examples, memory, retrieval, tools, state, control flow) Why Context Engineering Matters While most focus on prompt optimization, IBM Zurich’s 2025 breakthrough revealed a deeper opportunity. Their experiments demonstrated that structured cognitive tools triggered quantum leaps in reasoning capabilities—marking the birth of context engineering as a distinct discipline. …