By skyforbes 
ChatGPT-4 was introduced as a major leap forward in natural language understanding and reasoning. It quickly became one of the most popular AI models, capable of generating human-like text, solving problems, writing essays, and even coding. However, despite the hype, ChatGPT-4 has several failures and weaknesses that reveal how far we still are from achieving true artificial intelligence.
This article explores ChatGPT-4’s major failures, the reasons behind them, and what they teach us about the current state of AI.
1. Failure in Real-World Accuracy
ChatGPT-4 often fails when dealing with real-world data or dynamic, time-sensitive information. Since its training only includes data up to a certain cutoff date, it lacks awareness of recent developments, policies, or technologies.
For example:
- When asked about post-2024 world events, new scientific research, or updated company information, ChatGPT-4 often produces outdated or fabricated answers.
- It may also create false news headlines or imaginary quotes, believing them to be real.
This “hallucination” issue shows that ChatGPT-4 cannot verify facts independently. It can sound confident while being…