Developing story · 2 episodes · 14 Oct to 20 Oct
Uncovering Hidden Flaws in AI Reasoning
Recent research reveals that large language models often make critical security decisions during the initial reading phase rather than during execution. This latest finding highlights that Qwen3's improved reasoning capabilities may be driven by a phenomenon known as thinking leakage.
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Study finds most LLM agent decisions on prompt injections are set at read time
Researchers examined how LLM agents handle prompt injections by replaying episodes up to the moment an injection is read and then resampling the remainder many times. Across four AgentDojo suites…
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Researchers find Qwen3’s reasoning gains may stem from ‘thinking leakage’
A new paper on arXiv examines how reinforcement learning (RL) training affects hybrid reasoning models like Qwen3. The study suggests that much of the reported improvement in reasoning…
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