They Lied to You About AI (This Study Proves It)

👉 Join me on the 23rd for a FREE live class on getting AI to handle SEO for you: https://events.calebulku.com/?utm_source=youtube - 👉 Join our exclusive AI SEO Mastery group for templates and resources: https://www.skool.com/ai-seo-mastery/ Interested in hiring my agency? https://calebulku.com/hire-my-agency/ Vishal Sikka, former Infosys CEO, Oracle board member, and Stanford PhD who studied under John McCarthy (the man who coined "artificial intelligence"), together with his son, published a paper proving fundamental limits of current AI agents and LLMs. Using settled computational complexity theory from the 1960s, they show why transformer-based models hit a hard ceiling on computation per token due to self-attention, why hallucinations are mathematically unavoidable for certain tasks, and what this means for agentic AI in 2026. Covers: fixed compute budget per response, solving vs verifying problems, Time Hierarchy Theorem implications, why longer agent chains compound errors, and the gap between hype and architecture reality. Paper: "Hallucination Stations: On Some Basic Limitations of Transformer-Based Language Models" by Vishal Sikka & Varin Sikka Keywords: AI agent limits 2026, LLM computational ceiling, transformer architecture constraints, why AI agents hallucinate, autonomous AI reliability, Vishal Sikka AI paper, AGI promises vs reality