Marcelo Tibau

From The Information — Dec 5th 2024

Back in November, I wrote about how Large Language Models (LLMs) seem to be hitting a wall. My piece, “LLMs Are Hitting the Wall: What’s Next?”, explored the challenges of scaling these models and the growing realization that brute force and larger datasets aren’t enough to push them closer to true intelligence. I argued that while LLMs excel in pattern recognition and syntactic fluency, their lack of deeper reasoning and genuine understanding exposes critical limitations.

Read the full essay now on Medium and Substack.