OpenAI O1 is Actually Bad At Writing Code
Summary
TLDRThe video discusses OpenAI's new L1 model, designed for complex reasoning tasks like coding. It excels in benchmarks, particularly in math and physics, but shows no significant improvement in language tasks. The model's performance is compared to GPD-4L and CLA-3.5, with a focus on coding and real-world application building. Despite initial struggles with a 'strawberry problem', the L1 Mini outperforms the L1 Preview in tests. The video also covers the model's limitations in creating a dark-themed landing page and authentication pages, suggesting it's not yet a replacement for human developers.
Takeaways
- ๐ฒ OpenAI has released a new model, the L1, designed for complex reasoning tasks like coding.
- ๐ In benchmarks, the L1 model outperforms the GPC4 model significantly in math and physics.
- ๐ The L1 model shows no significant improvement in English language tasks compared to GPC4.
- ๐ป The L1 model's performance in coding and problem-solving is a key area of interest for developers.
- ๐ The L1 model excels in competitive coding platforms, scoring in the 89th percentile on Codeforces.
- ๐ซ Codeforces has implemented restrictions on AI usage post the release of the L1 model to prevent cheating.
- ๐ The L1 model struggles with certain problems, like the 'strawberry problem', which other models also find difficult.
- ๐ The L1 'mini' version performs better than the 'preview' version in tests, with a higher ELO rating.
- ๐ธ The L1 model is expensive to use, with the speaker noting the high cost despite only using a small amount of credits.
- ๐ ๏ธ The L1 model's ability to build real-world applications and handle complex instructions is tested with mixed results.
Q & A
What is the main purpose of the new AI model mentioned in the script?
-The new AI model is specifically designed for reasoning and tackling very complicated tasks that require thorough human-like thinking, such as coding.
How does the new AI model perform in benchmarks compared to previous models?
-In the benchmarks, the new AI model excels in tasks requiring complicated reasoning, significantly outperforming models like GPC4 in areas like math and physics.
What is the significance of the Codeforces platform in the context of the script?
-Codeforces is a platform for competitive programming challenges, and it is used to test the capabilities of the new AI model in solving complex coding problems.
Why did the speaker choose to test the AI model with the 'strawberry problem'?
-The 'strawberry problem' was chosen as a test case because it was a problem that other models, including GPC4, were struggling with, and the speaker wanted to see if the new model could solve it.
What is the difference between the 'O1 Mini' and 'O1 Preview' models as discussed in the script?
-The 'O1 Mini' is a more advanced version compared to the 'O1 Preview', with better performance in benchmarks, and it is suggested that the 'O1 Mini' is better for tasks like coding and problem-solving.
What is the ELO rating mentioned in the script, and how does it relate to the AI models?
-The ELO rating is a measure of the relative skill levels of players in two-player games such as chess. In the context of the script, it is used to compare the performance of different AI models in coding tests.
Why did the speaker express concern about the AI model's performance in creating a landing page?
-The speaker was concerned because the AI model did not follow the instructions correctly, placing files in the wrong directories and making errors that required manual correction.
What is the 'Open Router' mentioned in the script, and how does it relate to testing AI models?
-The 'Open Router' is a website that provides access to various AI models for testing purposes. It allows users to select and use different models to test their capabilities, such as the new 'O1' models.
What was the outcome of the speaker's attempt to use the AI model to create a registration and login page?
-The attempt was not successful as the AI model did not provide complete and correct code, missing important instructions and making errors in the use of technologies like Prisma and Next.js.
Why did the speaker decide to switch back to the previous model, Cloud 3.5 Sonic, after testing the new AI model?
-The speaker decided to switch back because the new AI model did not perform as expected in coding tasks, making errors and not providing the correct solutions, unlike the previous model which worked flawlessly.
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