A father and son just mathematically proved that AI agents will never do what Silicon Valley is promising Vishal Sikka is not some random academic. He was the CEO of Infosys, CTO of SAP, built SAP HANA, sits on the boards of Oracle, BMW, and GSK. Stanford PhD in AI. His son Varin is currently at Stanford Together they published a paper that nobody in AI marketing departments wants you to read Their argument: LLMs can only perform a certain number of computations per response. That number is fixed by the model's architecture. If a task requires more computation than that ceiling, the model will either fail or hallucinate. This isn't a maybe. It's baked into the math of how these systems work They use the Traveling Salesman Problem as an example. Ask an AI agent to verify whether a claimed route is actually the shortest among all possible routes and the verification alone requires exponential time computation. The model physically cannot process it correctly So every AI agent demo you've seen was running carefully selected tasks that stay under the complexity ceiling. Meanwhile the real world tasks businesses actually need automated blow right past it Now this doesn't mean AI is useless. Even if advancement stopped today, AI would still transform how we work. The tools we have right now are genuinely powerful for the right applications But it does make me wonder about something If OpenAI is truly on the verge of AGI, why are so many senior employees leaving to start their own companies? You're months away from the biggest technological breakthrough in human history and you're going to take equity in a risky startup instead? These people see the ceiling. And they're positioning accordingly The gap between AI marketing and AI math keeps getting wider. Doesn't mean AI won't change everything. But probably not the way the fundraising decks promised. -- Taken from other Media Platform... So don't take credit nor authenticity!! 🙏🙏🙏