A Skeptical Look at GPT5's Coding Capabilities
By
sohkamyung
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
The article is a critique of the capabilities of large language models (LLMs), specifically GPT5, in generating functional code. The author recounts a test where they asked GPT5 to solve a specific coding problem in Swift without third-party dependencies, highlighting the model's limitations despite claims of its advancement. The piece reflects the author's skepticism and frustration with the hype around LLMs.
Key quotes
· 3 pulledA contact just told me that my old 'LLMs generate nonsense code' blog post from 2 years ago is now very outdated with GPT5 because it’s so awesome and so helpful.
Without adding third-party dependencies, how can I compress a Data stream with zstd in Swift on an iPhone?
Yet another LLM rant
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