IBM's Top AI Scientist Warns Hallucinations Stem From Models Not Knowing What They Don't Know

IBM Research's chief scientist warns that AI hallucinations stem from models failing to recognize the limits of their own knowledge, urging the industry to prioritize uncertainty modeling and build energy-efficient, self-aware systems focused on practical, transparent intelligence rather than chasing abstract AGI goals.

• IBM Research chief scientist Ruchir Puri identifies uncertainty modeling as AI's most urgent technical challenge, warning that current models fail to recognize the limits of their own knowledge, which directly fuels hallucinations.
• Puri argues that the future of AI hinges on building systems that are more energy-efficient, self-improving, and capable of doing more with less compute, highlighting a massive energy gap between artificial and human intelligence.
• Rather than pursuing abstract definitions of AGI, Puri calls on the industry to prioritize 'artificial useful intelligence' — AI that is useful, adaptable, efficient, and transparent about what it does not know.