Google DeepMind CEO Highlights AI's Inconsistency as Major Obstacle to AGI

Google's DeepMind CEO exposes the shocking flaw holding AI back from full AGI - here are the details

Google DeepMind CEO Demis Hassabis identifies AI's inconsistent reasoning as a major obstacle to achieving Artificial General Intelligence (AGI). Despite excelling at complex problems, AI falters on simple tasks, revealing "jagged intelligence." Hassabis emphasizes the need for advancements in reasoning, planning, and memory, rather than solely relying on increased data and computing power, to bridge this gap. Even though AI can solve world-class math problems, it still struggles with high school-level equations. That's the paradox that Google DeepMind CEO Demis Hassabis claims is preventing AI from becoming fully AGI. The culprit is apparently an unexpected lack of consistency. Demis Hassabis believes that the most significant barrier to full AGI is AI's inconsistency in reasoning and problem-solving. Fixing the flaw will necessitate advances in reasoning, planning, and memory, not just more data or computing power. Demis Hassabis stated that "some missing capabilities in reasoning and planning in memory" need to be fixed. Hassabis stated in a Tuesday episode of the "Google for Developers" podcast that even sophisticated models such as Google's Gemini still make mistakes on problems that most schoolchildren could figure out, as quoted in a report by Business Insider. ALSO READ: Taylor Swift new album release date: When are the new playlists coming out - here are key details "It shouldn't be that easy for the average person to just find a trivial flaw in the system," he stated. He cited Gemini models that have been improved with DeepThink, a method that improves reasoning, and that have the potential to take home gold at the International Mathematical Olympiad, the most prominent math competition in the world. The same systems, he claimed, can "still make simple mistakes in high school maths," and he referred to them as "uneven intelligences" or "jagged intelligences," as quoted in a report by Business Insider. "Some dimensions, they're really good; other dimensions, their weaknesses can be exposed quite easily," he stated. It's not just about getting more data and computing power to get to Artificial General Intelligence (AGI), which is the point at which AI can think and reason like a person in all areas. Hassabis thinks that the missing piece is to make reasoning, planning, and memory better, as quoted in a report by Business Insider. AI's weaknesses can make its strengths less useful if they aren't consistent. For example, an AI that can solve graduate-level physics problems but not basic algebra is not really intelligent in the same way that people are. Google CEO Sundar Pichai came up with the term "AJI", Artificial Jagged Intelligence, to describe the current state of the technology because it isn't balanced, as quoted in a report by Business Insider. Hassabis says the industry needs "new, harder benchmarks" to thoroughly test AI's strengths and weaknesses and make sure it works well on all kinds of tasks. Demis Hassabis is still hopeful, though, and thinks that AGI could be here in five to ten years. He does, however, stress that Big Tech still hasn't figured it out. Before the launch of GPT-5, OpenAI CEO Sam Altman said something similar. He said that GPT-5 is a big step forward, but it is not yet true AGI. Altman said that one major gap is that AI can't keep learning on its own from new information it comes across in real time. ALSO READ: Orca attack mystery: What really happened to marine trainer Jessica Radcliffe Both leaders agree that the next big steps forward in AI won't just come from bigger models. They will also come from smarter models that have the kind of balanced, adaptable intelligence that people take for granted. What is preventing AI from achieving AGI? AI lacks consistency, excelling at complex tasks while failing at simpler ones. How would Demis Hassabis describe current AI? He refers to it as "jagged intelligence" because it is strong in some areas but weak in others.

Google DeepMind CEO Demis Hassabis Flags AI Inconsistency As Key AGI Roadblock, Calls For Tougher Testing Standards - Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL)

Demis Hassabis, the CEO of Google DeepMind, pinpointed a significant obstacle in the path of Artificial General Intelligence (AGI) development. What Happened: Hassabis, in a recent episode of the "Google for Developers" podcast, highlighted the lack of consistency in AI as a major barrier to achieving AGI, according to a Business Insider report. He illustrated this inconsistency by explaining that while advanced AI models like Google's Gemini can win gold medals at the International Mathematical Olympiad, they still struggle with basic high school math problems. This inconsistency, he said, is what is holding AI back from achieving full AGI. See Also: ClarityCheck Launches Innovative Reverse Lookup Tool to Empower Users Against Digital Scams Hassabis also echoed Sundar Pichai, the CEO of Alphabet Inc. GOOGL GOOG, who previously referred to the current stage of AI development as "AJI" -- artificial jagged intelligence. This term describes systems that excel in some areas but fail in others. He further emphasized that addressing AI's inconsistency issues will require more than just scaling up data and computing. He suggested that the industry needs better testing and new, more challenging benchmarks to determine precisely what the models excel at and what they don't. Why It Matters: The development of AGI, a theoretical threshold where AI can reason like humans, is a hot topic in the tech industry. Hassabis had previously offered a more cautious outlook on the arrival of AGI than Google's co-founder, Sergey Brin. He had also pointed out that the industry needs to set a higher bar for AGI. Meanwhile, Alibaba Cloud pioneer Wang Jian has pushed back against the buzz around AGI and artificial superintelligence (ASI), arguing that such labels oversimplify the nuanced growth of AI systems. Read Next: Ethereum Is Like A 'Decentralized App Store': Bernstein Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo courtesy: Shutterstock GOOGAlphabet Inc$201.47-0.08%Stock Score Locked: Edge Members Only Benzinga Rankings give you vital metrics on any stock - anytime. Unlock RankingsEdge RankingsMomentum71.03Growth73.36Quality85.58Value50.36Price TrendShortMediumLongOverviewGOOGLAlphabet Inc$200.94-0.03%Market News and Data brought to you by Benzinga APIs