Key Takeaways
- Large language models (LLMs) may not be capable of achieving full autonomy to think and function like humans
- A new study claims to show mathematical proof that LLMs are incapable of carrying out computational and agentic tasks beyond a certain complexity
- The research suggests that LLMs will either fail to complete or incorrectly carry out tasks that require complex computations
- The study pours cold water on the idea that agentic AI will be the vehicle for achieving artificial general intelligence
- Other researchers have also expressed skepticism about the capabilities of LLMs, suggesting that they are not capable of actual reasoning or thinking
Introduction to Large Language Models
The underlying technology behind most artificial intelligence models is large language models, a form of machine learning and language processing. As the article states, "the bet that most AI companies are making is that LLMs, if fed enough data, will achieve something like full autonomy to think and function in ways similar to humans—but with even more collective knowledge." However, a new study claims
https://gizmodo.com/ai-agents-are-poised-to-hit-a-mathematical-wall-study-finds-2000713493
