AI Agents Hype vs. Reality: GPT-4 Fails, Real-World Success Under 15%

Why AI Agents Aren't Ready for Prime Time: The Hidden Flaws

AI agents are hyped, but the reality is less impressive.

Large language models are getting better at many tasks. Their performance is improving based on testing.

However, current language models cannot fully support AI agents yet.

AI agents need to handle many types of data and tasks across multiple areas. But they do not work well in real-world situations. This shows AI companies need to improve core AI abilities first before trying to do too much.

A recent article talked about the difference between promises and reality for AI agents. It said, "AI agents are heavily promoted but do not work well in practice."

AI agents are supposed to do complex tasks and use tools independently. But in reality, this is much harder than expected.

The WebArena rankings test how well language models perform real tasks. Even the best models only succeed 35.8% of the time. GPT-4's success rate is just 14.9%.