Can LLMs truly understand concepts or just fake it well enough to pass tests? Researchers found potemkin understanding Models define concepts correctly 94% of the time, but fail to apply them 40-55% of time AI benchmarks may be fundamentally flawed for measuring understanding
@askalphaxiv
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LLM Research Ideas Less Novel Than Human-Generated Ones Study
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LLMs can generate research ideas that look more novel than humans’, but are they actually better? Stanford ran a study where LLM- or human-authored ideas were tested Human ideas were blindly rated consistently better, with LLM ideas seeing 37× larger score drops post-execution
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Chain-of-Thought Reasoning: Interpretability Illusion in AI Models
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Is Chain-of-Thought just an Illusion of Reasoning? New research shows that 25% of AI papers treat CoT as 'interpretable' – but those step-by-step explanations often don't reflect what models actually compute. The reasoning you see ≠ the reasoning that happens
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Claude Opus Published as Lead Author on arXiv Response Paper
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Claude is now being listed as an author on arXiv papers A response paper to Apple's "Illusion of Thinking" work just dropped with Claude Opus as first author, critiquing their experimental design and arguing the reasoning collapse was actually just token limit constraints.
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Parshin Shojaee discusses illusion of thinking on alphaXiv
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@ParshinShojaee is on alphaXiv to answer questions on The Illusion of Thinking! Join the discussion here: https://
alphaxiv.org/abs/2506.06941 -
RL Training Paradigm: 14B Model Matches 32B Baseline Performance
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New training paradigm: instead of just predicting tokens, models reason about each prediction using RL The model thinks through context, considers alternatives, then makes a prediction. 14B model matches 32B baseline, though training costs are significantly higher.
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Can LLMs Truly Introspect or Just Mimic Human Responses?
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I think therefore I LLM Can AI actually introspect or is it just copying human responses? Turns out mostly copying, but LLMs can genuinely analyze some of their own internal settings. Temperature detection works. Other "self-awareness" claims are dubious.
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DeepMind’s automated research agents discussed by SR Schmidgall
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Excited to have @SRSchmidgall from DeepMind discussing his work this Friday on automated research agents. Shoutout to @IntologyAI for making this happen! https://
x.com/IntologyAI/sta
/IntologyAI/status/1932144619015586183
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ComfyUI-Copilot: Intelligent LLM Assistant for Workflow Automation
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ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development ComfyUI-Copilot is an LLM-powered plugin designed to simplify and accelerate workflow creation in ComfyUI, an open-source AI art platform, by providing intelligent node/model recommendations and
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AReaL: Asynchronous Reinforcement Learning System for Language Reasoning
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AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning AReaL is an asynchronous reinforcement learning system that efficiently trains large language models for reasoning tasks by maximizing GPU usage and decoupling generation from training.