The Illusion of Intelligence: Why Deep Learning Alone Isn’t Enough
In the age of AI hype, deep learning is often glorified as the mysterious force behind the intelligence of large language models (LLMs) like GPT, Gemini, and Claude. Tech evangelists tout breakthroughs in neural architectures, transformer tweaks, or training tricks — but here’s a reality check: Deep learning alone isn’t enough. The real power lies in the internet itself. Deep Learning Is Just a Statistical Mirror Deep learning — even with transformers — is just pattern recognition. What makes an LLM appear intelligent is not that it learns concepts, but that it memorizes and regurgitates statistical correlations from a massive text pool: Wikipedia, Reddit, StackOverflow, news, books, and more. ...