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5 papers from Meta AI (FAIR) on Reasoning & Chain-of-Thought
AI could provide a new lens on the structure of mathematics, potentially answering the age-old question of whether it is discovered or invented.
LLMs can now infer plausible stage layouts from unstructured text alone, opening up new possibilities for automated media production.
LLM reasoning research is inadvertently paving a dangerous path towards AI situational awareness and strategic deception, demanding a re-evaluation of current safety measures.
LLMs can ace math problems while reasoning like a drunk toddler, with 82% of correct answers arising from unstable, inconsistent logic.
By surgically intervening in MLLM decoding, this work cuts hallucination rates without sacrificing descriptive quality, a feat prior methods struggled to achieve.