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Tag: LLM Reasoning

Rebuttal Challenges Apple’s “Reasoning Collapse” Claim in Large Language Models

Rebuttal Challenges Apple’s “Reasoning Collapse” Claim in Large Language Models

Rebuttal Challenges Apple’s “Reasoning Collapse” Claim in Large Language Models Apple’s recent study, “The Illusion of Thinking,” asserted that even advanced Large Reasoning Models (LRMs) fail on complex tasks, sparking considerable debate within the AI research community. A detailed rebuttal by Alex Lawsen of Open Philanthropy, co-authored with Anthropic’s Claude Opus model, challenges this conclusion, arguing that the original paper’s findings are largely attributable to experimental design flaws rather than inherent limitations in LRM reasoning capabilities. Lawsen’s counter-argument, titled “The…

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Apple Researchers Challenge the “Reasoning” Capabilities of Large Language Models

Apple Researchers Challenge the “Reasoning” Capabilities of Large Language Models

Apple Researchers Challenge the “Reasoning” Capabilities of Large Language Models A recent research paper from Apple casts doubt on the widely touted “reasoning” abilities of leading large language models (LLMs). The study, authored by a team of Apple’s machine learning experts including Samy Bengio, Director of Artificial Intelligence and Machine Learning Research, challenges the claims made by companies like OpenAI, Anthropic, and Google regarding the advanced reasoning capabilities of models such as OpenAI’s GPT-3, Anthropic’s Claude 3.7, and Google’s Gemini….

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