1 hour of OpenAi o1, here are my thoughts...
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1 hour of OpenAi o1, here are my thoughts...
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Here are my few observations:
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Here are my few observations:
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- Slower response times: o1 can take over 10+ seconds to answer some questions, as it spends more time "thinking" through problems. In my case, it took over 50 seconds.
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- Slower response times: o1 can take over 10+ seconds to answer some questions, as it spends more time "thinking" through problems. In my case, it took over 50 seconds.
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- Less likely to admit ignorance: The models are reported to be less likely to admit when they don't know the answer to a question.
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- Less likely to admit ignorance: The models are reported to be less likely to admit when they don't know the answer to a question.
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- Higher pricing: o1-preview is significantly more expensive than GPT-4o, costing 3x more for input tokens and 4x more for output tokens in the API. With more thinking and more tokens, this could require houses to be mortgaged!
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- Higher pricing: o1-preview is significantly more expensive than GPT-4o, costing 3x more for input tokens and 4x more for output tokens in the API. With more thinking and more tokens, this could require houses to be mortgaged!
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- Do we need this?: While it's better than GPT-4o for complex reasoning, on many common business tasks, its performance is just equivalent.
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- Do we need this?: While it's better than GPT-4o for complex reasoning, on many common business tasks, its performance is just equivalent.
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- Not a big deal: No comparisons to Anthropic or Google DeepMind Gemini are mentioned or included.
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- Not a big deal: No comparisons to Anthropic or Google DeepMind Gemini are mentioned or included.
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- This model tries to think and iterate over the response on its own! Think of it as an inbuilt CoT on steroids! Would love a technical review paper on the training process.
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- This model tries to think and iterate over the response on its own! Think of it as an inbuilt CoT on steroids! Would love a technical review paper on the training process.
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A must-read paper: 
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A must-read paper: 
https://cdn.openai.com/o1-system-card.pdf
https://cdn.openai.com/o1-system-card.pdf
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1 hour of OpenAi o1, here are my thoughts...

Here are my few observations:

- Slower response times: o1 can take over 10+ seconds to answer some questions, as it spends more time "thinking" through problems. In my case, it took over 50 seconds.

- Less likely to admit ignorance: The models are reported to be less likely to admit when they don't know the answer to a question.

- Higher pricing: o1-preview is significantly more expensive than GPT-4o, costing 3x more for input tokens and 4x more for output tokens in the API. With more thinking and more tokens, this could require houses to be mortgaged!

- Do we need this?: While it's better than GPT-4o for complex reasoning, on many common business tasks, its performance is just equivalent.

- Not a big deal: No comparisons to Anthropic or Google DeepMind Gemini are mentioned or included.

- This model tries to think and iterate over the response on its own! Think of it as an inbuilt CoT on steroids! Would love a technical review paper on the training process.

A must-read paper: https://cdn.openai.com/o1-system-card.pdf
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