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Some interesting findings in this paper: 
Some interesting findings in this paper: 
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- They consider o1 a Large Reasoning Model (LRM) with a different arch from SOTA LLMs.
- They consider o1 a Large Reasoning Model (LRM) with a different arch from SOTA LLMs.
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- Creative justifications: “It is almost as if o1 has gone from hallucinating to gaslighting!”. This is so true, I noticed also it can “hallucinate” its chain-of-thoughts lol. 
- Creative justifications: “It is almost as if o1 has gone from hallucinating to gaslighting!”. This is so true, I noticed also it can “hallucinate” its chain-of-thoughts lol. 
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- Accuracy/Cost Tradeoffs: o1 provides high accuracy but at significant computational and monetary costs due to hidden "reasoning tokens."
- Accuracy/Cost Tradeoffs: o1 provides high accuracy but at significant computational and monetary costs due to hidden "reasoning tokens."
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Paper:  
Paper:  
link
https://www.arxiv.org/abs/2409.13373
https://www.arxiv.org/abs/2409.13373
Some interesting findings in this paper: 
- They consider o1 a Large Reasoning Model (LRM) with a different arch from SOTA LLMs.
- Creative justifications: “It is almost as if o1 has gone from hallucinating to gaslighting!”. This is so true, I noticed also it can “hallucinate” its chain-of-thoughts lol. 
- Accuracy/Cost Tradeoffs: o1 provides high accuracy but at significant computational and monetary costs due to hidden "reasoning tokens."
Paper:  https://www.arxiv.org/abs/2409.13373
👀
victor John6666 VinitT