SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT • SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT •
breakthroughsWTF 6.4via arXiv cs.AI

Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks

"Infinite compute can solve calculus but still can't tell when your girlfriend is being sarcastic."

Explain Like I'm Normal

Researchers tested 'reasoning models' (like o1) against standard LLMs on everyday logical tasks that require social context and pragmatics rather than formal math. The study found that extra test-time compute actually hurts performance when the logic relies on human nuance rather than textbook rules. Essentially, these models are becoming 'super-geniuses' who lack basic common sense.

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#o1#reasoning#benchmarking#llm#logic

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