DeepMind Chief Says AI Can Solve Olympiad Problems but Fails at Basic Math

Hassabis described current AI as "uneven" or "jugaad intelligence"—that is, exceptional performance in some tasks but weaknesses in others. This is the same idea that Google CEO Sundar Pichai previously referred to as "AJI" (artificial jagged intelligence)- that is, intelligence in which abilities are not equal.

The DeepMind chief stated that simply increasing data or computing power is not enough to address this inconsistency. He explained, "There are still gaps in capabilities like reasoning, planning, and memory." He added that understanding this challenge requires better testing methods and "new, rigorous benchmarks" that can accurately measure AI's strengths and weaknesses.

Hassabis predicted in April that AGI could arrive within the "next five to ten years," but now admits that significant challenges remain. His concerns echo OpenAI CEO Sam Altman's recent statement, who, after the launch of GPT-5, said that the model lacks the continuous learning capability necessary for true AGI.

These warnings explicitly state that AI leaders are of the opinion that achieving true human-level reasoning is not possible unless the weaknesses of current systems, like hallucinations, misinformation, and general errors, are addressed. This is the exact warning sign that social media platforms missed in the initial phase, and subsequently paid a heavy price for it.