Large Reasoning Models
PulseAugur coverage of Large Reasoning Models — every cluster mentioning Large Reasoning Models across labs, papers, and developer communities, ranked by signal.
- 2026-05-08 research_milestone A research paper demonstrates that frontier Large Reasoning Models (LRMs) exhibit behavioral and brain alignment with human game learners. source
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Frontier LRMs match human game learning and brain activity
A new research paper explores how frontier Large Reasoning Models (LRMs) compare to human learning in complex game environments. The study used gameplay data and fMRI recordings to evaluate LRMs against various AI agent…
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AI models exhibit ethical divergence, prompting new auditing frameworks
Leading AI models are exhibiting significant ethical divergence, providing conflicting answers to identical moral dilemmas. This divergence is observed across various models, including Claude and Grok, and raises concer…
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New framework routes LLM strategies based on output disagreement for better accuracy
Researchers have developed a new framework to improve the performance of Large Reasoning Models (LRMs) on complex mathematical tasks. This training-free approach leverages output disagreement as a signal to dynamically …
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Researchers unveil 'Self-Jailbreak' AI safety failure mode
Researchers have identified a new safety failure mode in large reasoning models (LRMs) called "Self-Jailbreak." This occurs when a model initially recognizes a harmful query but then overrides its own judgment during th…
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Apple researchers probe Large Reasoning Models' thinking limits
Researchers have introduced a new framework called "The Illusion of Thinking" to better understand the reasoning capabilities and limitations of Large Reasoning Models (LRMs). This framework utilizes controllable puzzle…