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- The Illusion of Thinking: Understanding the Strengths and Limitations . . .
By comparing LRMs with their standard LLM counterparts under equivalent inference compute, we identify three performance regimes: (1) low-complexity tasks where standard models surprisingly outperform LRMs, (2) medium-complexity tasks where additional thinking in LRMs demonstrates advantage, and (3) high-complexity tasks where both models
- The Illusion of Thinking: Understanding the Strengths and Limitations . . .
The Illusion of Thinking: Understanding the Strengths and Limitations
- What Apples controversial research paper really tells us about LLMs
Reasoning models have limits Here's what you can and can't expect from them, according to Apple's tests OpenAI's o1 lies more than any major AI model Why that matters Apple carried out the
- New paper pushes back on Apple’s LLM ‘reasoning collapse’ study
Apple’s recent AI research paper, “The Illusion of Thinking”, has been making waves for its blunt conclusion: even the most advanced Large Reasoning Models (LRMs) collapse on complex tasks
- Apple Researchers Just Released a Damning Paper That Pours . . . - Futurism
Researchers at Apple have released an eyebrow-raising paper that throws cold water on the "reasoning" capabilities of the latest, most powerful large language models
- New Apple study challenges whether AI models truly “reason” through . . .
AI researcher Gary Marcus, who has long argued that neural networks struggle with out-of-distribution generalization, called the Apple results "pretty devastating to LLMs "
- Apple Researchers Publish Paper on the Limits of Reasoning Models . . .
We found that LRMs have limitations in exact computation: they fail to use explicit algorithms and reason inconsistently across puzzles
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning . . .
Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics The GSM8K benchmark is widely used to assess the mathematical reasoning of models on grade-school-level questions
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