GPTo1 Is Better Than Your Average Developer

This video is about a large language model (LLM) called GPT-4o1 developed by OpenAI that can write code. The speaker, Richard Aragon, is impressed by GPT-4o1’s capability and argues that it is superior to an average developer.

The video starts with a Reddit post about another large language model, Llama 3, which can only generate 300 to 350 lines of code. GPT-4o1, on the other hand, can generate 526 lines of code, which is significantly more. The speaker argues that most developers would have difficulty writing 526 lines of code on their own.

The speaker then demonstrates that the code generated by GPT-4o1 is functional. It is a time tracking device that can make API calls and track Microsoft Word usage. The speaker argues that this complexity justifies the length of the code.

The speaker then mentions that GPT-4o1’s performance on coding benchmarks is in the 89th percentile, which he believes puts it above most standard developers.

Overall, the speaker is very impressed by GPT-4o1’s capabilities and believes that LLMs like GPT-4o1 will continue to improve rapidly. He argues that people should embrace this technology and not be afraid of it.

[AlexanderGeorge]

Hey helpful feedback, I think you’d get more viewers with better sound.

[blackguytraveller]

So your argument is that AI can instantly write tons of lines of code. I've never heard a developer measure performance in lines of code and characters. Quality code is better than Quantity. There's a whole skill around taking a ton of lines of code and refactoring it into less. Lines of code is not a metric for performance by any standards. I hope this changes your mind, or at least inspires you to make a better video.