Is OpenAI's latest o1 model that good?

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[epokaixyz]

Let's dive into the essential takeaways:
1. Explore OpenAI's o1 for tasks requiring deep analysis and complex problem-solving, such as writing code or solving intricate puzzles.
2. Utilize o1 for projects involving translation, cross-cultural communication, or working with diverse datasets, as it excels in multilingual tasks.
3. Choose o1 when accuracy and depth of understanding are paramount, especially for tasks where speed is not the primary concern.
4. Opt for faster models like GPT-4 mini for quick and straightforward tasks where speed is more important than intricate reasoning.
5. Learn more about OpenAI's o1 and its capabilities by exploring the provided resources: OpenAI's blog post, system card, David Shapiro's livestream, and Nathan Lambert's article.

[SovettaParmetta]

FYI I asked o1 for an answer to the trolley problem and it explained that it would pull the lever to 1 person in detail

[zyzhang]

Agree with what u said about trade-off. However, it seems CoT built in during alignment has more benefits compared to CoT during inference

[DanielSMatthews]

Can it solve the "Octopus in a Spacesuit" problem, something most humans can easily visualise, correctly, but which AIs struggle with? The animal must be entirely enclosed yet be able to move and see from the location where the eyes are. Sounds easy, and for the mind's eye it is! To be clear this is an image generation task.