📉AI growth is not exponential; resources are limited
🧮LLMs and code generation AI are reaching diminishing returns
🗂️Running out of high-quality language data is a limiting factor
🧪Data quality issues affect AI models' functionality
💻Code generated by AI has lower quality and higher churn rate
Is AI growth exponential?
—No, AI growth is not exponential. It is limited by finite resources.
Are LLMs and code generation AI still improving?
—LLMs and code generation AI are reaching diminishing returns in terms of improvements.
What is limiting the growth of AI models?
—The availability of high-quality language data and data quality issues are limiting factors.
Does code generated by AI have higher quality?
—Code generated by AI has lower quality and a higher churn rate, meaning it is often rewritten or reverted.
Is there a possibility of running out of data for AI models?
—Yes, there is evidence that resources for data training are limited, and we may be running out soon.
00:00AI growth is not exponential; it is limited by finite resources.
03:24LLMs and code generation AI are reaching diminishing returns in terms of improvements.
05:40Running out of high-quality language data is a limiting factor for AI models.
07:28Data quality issues affect AI models' functionality.
07:58Code generated by AI often has lower quality and a higher churn rate.
